Science topics: Engineering
Science topic

Engineering - Science topic

This research group is created with an intention of making an interaction among the research scholars, professors, scientists, engineers & technologists working in the field of Engineering, so that today’s novel ideas can become reality of tomorrow and these all can be implemented in a more constructive manner for the welfare of whole mankind
Questions related to Engineering
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There is nothing worse for curb appearance than chipped and cracked concrete, particularly in steps. But you don’t have to put up with that blight any longer. By the result of weather changes exerted on an existing construction for prolonged time, it causes contraction and expansion those gradually results concrete steps cracks and break up with time.
Dear researchers, I would like to get expert opinions on how to fix this issue with,
optimum efficiency
low cost
prolonged sustainability .
Your answers are highly welcomed.
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Dear Doctor
Go To
Cracks Evaluation of Reinforced Concrete Structure: A Review
hmad Zaki et al. 2021 J. Phys.: Conf. Ser. 1783 012091
"Abstract
Many reports state how serious the problems associated with cracking in reinforced concrete (RC) structures worldwide. The cracking can cause damage and destruction to RC structures. The cracks are the damage to RC structures that require repair or replacement. Analysis of the damage level as early as possible on the RC structure cracks can reduce the greater impact and streamline the cost of repairing the concrete structure. Therefore, non-destructive testing (NDT) method is needed on the RC structure, namely: visual inspection technique. The image obtained from the visual inspection is then analyzed using image processing. After that, the concrete structure with cracks is tested for quality (compressive strength) using the rebound hammer technique with a rebound index. From the image processing and rebound index results, the damage from the cracks that occurred can be concluded so that the repairs become more effective and efficient."
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The question of whether the engineering syllabus in India is outdated has been a subject of debate and discussion for several years. Critics argue that the traditional engineering curriculum in India places excessive emphasis on theoretical knowledge while often neglecting practical skills and real-world applications. This approach has been seen as less relevant in an era marked by rapid technological advancements and the need for multidisciplinary expertise. Moreover, the syllabus was criticized for not keeping pace with evolving industry demands and global standards. Some argue that it should incorporate more practical, hands-on experiences, emphasize soft skills like communication and teamwork, and adopt a more global perspective. It's worth noting that efforts to reform and modernize engineering education were underway, with organizations like the All India Council for Technical Education (AICTE) and universities working on curriculum revisions.
Nevertheless, whether the syllabus is truly outdated or not may vary across institutions and engineering disciplines, and opinions on this matter continue to evolve.
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India is a country which has procured Raffle advance fighter jets for protecting it's borders, at the same time the the defense minister rely on enchanted lemon chili spells to protect Raffle from evil eye. So reaching moon is not a rocket since to us, it can be done in few sessions of witchcraft and sorcery.
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📣 Spread the word! 🎓 Open PhD position at the Chair of Mechanics, Faculty of Civil Engineering, University of Ljubljana. ⏳ Application deadline: 7 September2023 If you are aware of any qualified master students (Engineering with strong backround in Mechanics, Computational Engineering, Civil/Mechanical Engineering or related fields) then encourage them to apply! ℹ️ See https://lnkd.in/gfdUG6mY for more details!
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NIce Scope for research.
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1. Prakash K.B.,Data science handbook: A practical approach,2022,Data Science Handbook: A Practical Approach
2. Prakash K.B.,Quantum Meta-Heuristics and Applications,2021,Cognitive Engineering for Next Generation Computing: A Practical Analytical Approach
3. Prakash K.B.,Information extraction in current Indian web documents,2018,International Journal of Engineering and Technology(UAE)
4. Prakash K.B.,Content extraction studies using total distance algorithm,2017,Proceedings of the 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2016
5. Prakash K.B.,Mining issues in traditional indian web documents,2015,Indian Journal of Science and Technology
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please consider COPE guidance for authoritative position on this issue https://publicationethics.org/citation-manipulation-discussion-document
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How to obtain product feedback from existing customers to create a better version of your product?
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Survey is definitely the answer but if the customers are uncomfortable providing a social media page or website platform for review and recommendation might also be fruitful.
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Engineering for One Planet is an authoritative framework for universities of technology, but it may not be the best or the most transformative one. I wonder what experts in sustainable education, engineering ethics, reflexive engineering, etc. think about it and whether they could recommend better alternatives.
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We need to immediately utilize a problem- solving framework for HEIs. This approach is very relevant for:
a. addressing operational issues and challenges within the institutions;
b. addressing and resolving developmental challenges;
c. aligning and realigning operational=developmental initiatives;
d. improving curriculum across all disciplines;
d. attracting and retaining faculty and students and providing a strong sustainable revenue stream for HEIs;;
e. ensuring workplace relevance graduate employability.
If you are aware of a university that needs this type of assistance, I might be willing to serve on contract.
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Design of Industrial Automation Systems - Formal Requirements in the Engineering Process
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I'm not sure if I understood your question, but in order to run an industrial process efficiently, one must start with the first, most important step: creating a mathematical model that captures both the transient and steady-state characteristics of the system. The model should explicitly indicate any inputs that cause a disturbance as well as the system's inputs and outputs. Then, based on the system's open-loop performance, you can select a suitable control strategy from the wide range of alternatives described in the literature.
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Complex graphical sketches are highly involved in Culmann's methods. Therefore, it is highly prone for getting deviations in magnitudes for resultant pressure on retaining wall. I would like to get suggestions from RG colleagues on why Culmann's graphical approach is mostly preferred in many research papers albeit Rankine's method is easy and precise in terms of equations and substitutions. I would welcome answers from both theoretical and practical perspectives.
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Rankine theory is specific to vertical and smooth wall. But culmann's graphical approach is also for inclined wall. I think this is major cause of choosing Culmann's graphical approach over Rankine theory.
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SEHS
(Science, Engineering and Health Studies)
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Hi Dr. Saran Malisorn, Interesting question
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Dans cet article , je suis co-auteur. Lorsque je tente de le poster sur Researchgate, mon nom s'affiche comme Pierre Mbang et un message renseigne que je n'ai pas de droit sur cet article. Comment pouvez-vous aider à resoudre cette difficulté?
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Pour cette publication, seuls les 3 premiers auteurs sur 10 sont indiqués dans ResearchGate. Pour revendiquer votre qualité d'auteur : 1. Cliquez sur le bouton More en dessous des statistiques sur le côté droit. 2. Sélectionnez Claim authorship - is this your work ? dans le menu déroulant. 3. Cliquez sur My name is not on this list + Add name (Mon nom ne figure pas dans cette liste + Ajouter un nom).
Une autre façon de corriger ce problème est de demander à Bianza Moise Bakadia (https://www.researchgate.net/profile/Bianza-Bakadia-2) ou à Lallepak Lamboni (https://www.researchgate.net/profile/Lallepak-Lamboni) d'ajouter les 7 auteurs restants. Ouvrez leurs profils et utilisez le bouton "Message" pour leur envoyer un message.
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I want to calculate Rayleigh number and Nusselt number of a PCM-heatsink to analyze the intensity of the natural convection of PCM. There are some fins inside my heatsink to enhance the heat transfer. Now I am having trouble calculating the characteristic length to use in Rayleigh and Nusselt dimensionless numbers.
I would be grateful if you could help me.
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The Rayleigh number (Ra) is a dimensionless number used to predict the flow regime (conduction, convection, or mixed) in a fluid when it is heated from below. In the context of a phase change material (PCM)-heatsink system with fins, the characteristic length is an important parameter for calculating the Rayleigh number.
The characteristic length (L) used in the Rayleigh number calculation can vary depending on the geometry of the system. In the case of a PCM-heatsink with fins, the characteristic length can be defined based on the specific geometry you are dealing with. Here are a few possibilities:
  1. Fin Height (H): If the characteristic dimension of interest is the height of the fins (assuming they are vertically oriented), you can use the height of the fin as the characteristic length. This would be suitable when the heat transfer is mainly driven by natural convection along the fins.Rayleigh Number (Ra) = (g * β * ΔT * H^3) / (ν * α)Where:g: Acceleration due to gravity β: Coefficient of volumetric expansion ΔT: Temperature difference between the heated surface and the surrounding fluid ν: Kinematic viscosity of the fluid α: Thermal diffusivity of the fluid
  2. Fin Base Width (W): If the characteristic dimension is the width of the fin base, you can use this value as the characteristic length. This might be more appropriate if the heat transfer occurs primarily through the base of the fins.Rayleigh Number (Ra) = (g * β * ΔT * W^3) / (ν * α)
Remember that the choice of characteristic length depends on the dominant heat transfer mechanism in your specific setup. The key is to select a length scale that is relevant to the phenomenon you are trying to analyze.
Additionally, when dealing with PCM systems, keep in mind that the melting and solidification of the PCM can introduce additional complexity to the heat transfer process. You might need to consider the effects of latent heat and phase change in your analysis.
Before performing calculations, ensure that the physical properties of the fluid, PCM, and the geometry are accurately determined. It's recommended to consult relevant literature, research articles, or textbooks in the field of heat transfer to find appropriate values and guidance for your specific configuration.
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Urgent reform is needed for all higher education in the world for the interest of the students ! Of course fine-art majors' students may need sometimes even face to face, one to one study with their academicians !
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BENEFITS:
You may avoid high tuition fees & other living expanses. You can live in your family house with your family. You can work full time & get experienced in job(s) & gain considerable income & also accumulate retirement pensions.
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Hi,
I have a basic question about cell engineering. Is it possible to load or engineer mammalian cells to produce certain chemicals?
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Yes, although it depends on the substance and the type of cells. A recent example is using mRNA vaccines to cause cells to produce COVID-19 spike proteins which act as antigens. Did you have a specific chemical and cell in mind?
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The Ricci tensor assumes the role of helping us understand curvature. Within my Universal Theory research, the Ricci tensor unveils itself. I was pleased to find as detailed in my research document on the Grand Unified Theory Framework (of which advancements in technology are showing there may be more than one viable form of as science progresses)that the Ricci Tensor was typically vanishing to zero in relation to the schwarzschild metric as it should back when I was performing feasibility and speciousness checks via calculations with other experts and myself. But in practical applications of the Grand Unified Theory Framework, vanishing to zero unravels very intriguing consequences.
One of said consequences was something small and interesting I wanted to discuss. The purpose is to highlight the intricacies of implementing such a highly comprehensive concepts in practical settings such as code. To thus detail the challenges researchers may face when translating comprehensive physics and mathematics formulations into concrete applications. More often than not I have found it requiring innovative adaptations and problem-solving. I also want to hear if anyone has any experience with similar things and what their experience was.
My recent amd past ventures into authenticating the Universal Theory framework in code but also writing complex neural networking and AI code with it, as well as Quantum computing code had a lot of interesting hurdles. I immersed myself in the depths of this then encountered a peculiar happenstance. The vanishing of the Ricci tensor to zero in the code procceses. I didn't realize why a lot of the code wasn't working. It's because I was trying to run iterative artificial learning code. And since it incorporated the Universal Theory, and did so in a mathematically accurate way (also authenticating it in various ways via code this way is possible) I didn't realize that no matter what I did the code would never work with the full form of the theory, because the Ricci tensor would always vanish to zero in terms of the schwarzschild metric within the subsequent processes running off initial code. And while this was validating for my theory it was equally frustrating to realize it may be a massive hurdle to institutingnit in code.
This unexpected twist threw me into a world where certain possibilities seemed to evaporate into the ether. The task of setting values for the tensor g_ij (the einstein tensor form utilized in the Grand Unified Theory Framework) in code had to demand a lot of intricate modifications.
I found myself utterly lost. I thought the code was specious. Before I thought to check the ricci tensor calculations, Christoffel and Riemann formations and got it running. I think it's quite scary in a way that someone could have similar code with my own or another form of Unified Theory but if they didn't have THAT sufficient of knowledge on relativity, they may never know the code worked. I feel few have attempted to embrace the tangible variations of complex frameworks within code. I wanted to share this because I thought it was interesting as an example of multidisciplinary science. Coding and physics together is always interesting and there isn't a whole lot of support or information for people venturing into these waters sometimes.
I would like to know what everyone thinks of multidisciplinary issues such as this as well, wherein one may entirely miss valuable data by not knowing what to look for, and how that may affect final results and calculations of research and experimentation. In this situation, ultimately I had to employ some of the concepts in my research document to arrive at the Ricci tensor without any formations of Christoffel or Riemann symbols in the subsequent processes. I thought that was interesting from a physics and coding perspective too. Because I never would've know how to parse this code to get it functioning without knowledge of relativity.
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There must be a lot of mysteries for you. Its pretty simply if you can read. As well, I'm sure you know with your nearly omnipotent knowledge that citations aren't instant. Try extrapolating. And consume less salt.
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Describe the implementation of coordinator geometry & linear algebra in the field of Engineering.
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There is no mathematical subject as (coordinator geometry), that is Coordinate Geoemetry or Analytic Geometry which is invented & designed Rene Descartes. Also sometimes it is also called Cartesian Geometry in honor of R.Descartes.
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Using machine learning algorithms
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  1. Surrogate Modeling: Using ML to create simplified models of complex physical systems for faster simulations and improved understanding.
  2. Data-driven Discovery: Employing ML to find patterns and relationships in data to make new scientific discoveries and develop innovative products.
  3. Inverse Problems: Solving problems that infer underlying causes from observations using machine learning techniques.
  4. Computer-Aided Engineering (CAE): Enhancing accuracy and efficiency in engineering simulations and automating the design process with ML.
  5. Healthcare Applications: Utilizing ML in medical image analysis, drug discovery, and personalized medicine for advanced healthcare solutions.
These topics represent some of the exciting frontiers where machine learning is making significant contributions to computational science and engineering research.
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Q1: Would you like to know many innovative keys and many facts about the words that you speak, use, utilize, and develop?
Here is an open invitation to Join:
Unified Word Engineering (UWE))
LinkedIn Group
Unified Word Engineering (UWE) Overview
“A Word is the foundation stone of science and knowledge.”
“A word is a guide for all nations to follow.”
“A Word for freedom is like a fortress and a shield.”
We have more than 300 questions to answer about a Word:
Do you know the true meaning of a Word?
Do you understand what a Word is?
Do you know the ultimate goal of a Word?
Would you happen to know the functional requirements?
Do you know the nonfunctional requirements?
The answer to all the previous questions is: NO.
We have discovered unified and constant innovations based on our discoveries of more than 50 intrinsic and inventive factors called “Innovative keys,” more than 100 new pieces of information per Word, and we have answered more than 300 questions about any word about (a Word).
A word can be documented with more than fifty new innovative keys and a lot of new data in three to more than five thousand pages.
“A word is closely related to art, science, and engineering.”
“A word does not have synonyms and will be treated as unified, fixed, and unique.”
What is the art of a Word?
It raises other questions, including new science called the “Art of Abstraction.”
What is the significance of a Word?
What is the value of a Word?
What are the advantages and ethics of a Word?
What are the aesthetic qualities of a Word?
What is the final and comprehensive definition of any word?
What are the uses of a Word technically?
Etc.
What is the science of a Word?
It raises other questions, including the result of a new branch of science called Fayad’s Dictionary.
What is a word classification?
What is the unifying goal of any word?
Hint One: It is the only goal for all the Word scenarios.
Hint Two: Most Words have one goal, a few words have two goals each, and scarce Words have three goals each.
Hint Three: Each goal represents a system. Therefore, if a Word has three goals, it means three systems.
What are the positive impacts of the unified goal of any word?
What is the commotion for any word?
Do you know what reliable sources are for any word?
What is the Word’s responsibility?
What roles does Wordplay play?
What is the code of honor for a Word?
Etc.
What is the engineering of a word?
What is the map of knowledge of a Word?
What are the basic needs and requirements of a Word?
What is the unified and consistent form of a Word?
Could you tell me what the nonfunctional requirements are in Word?
What are the applications of a Word?
What are word behaviors?
What are the modeling techniques of a word?
Each of these questions raises many questions.
What are the rules, policies, and constraints of a word?
We will discuss all these issues in different articles in our magazine.
.
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I believe it is an exciting and crucial topic, personally and professionally. So, my answer is YES!
Thank you for asking, Dr Fayad.
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Trying to mitigate early-age fractures in concrete buildings is crucial for ensuring adequate durability, minimising potential strength loss, and lowering maintenance costs. Because these cracks challenge the residential comfort and the aesthetic appearances of buildings.
So, what are the alternative measures adapted to mitigate arly-age cracks in the construction industry?
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To mitigate early-age cracking in concrete structures, some effective measures include using low-heat cement to reduce heat generation during hydration, controlling the concrete's mix design and water-cement ratio, utilizing proper curing techniques like moist curing or curing compounds, and minimizing temperature fluctuations during concrete placement and early curing stages. Additionally, employing reinforcing elements, such as steel rebar, can enhance the concrete's tensile strength and limit cracking. Regular inspection and timely repairs are essential to address any early signs of cracking before they escalate.
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I would like to ask a general question: Any other physicists of any kind, what do YOU see as the fundamental flaws currently existing in mathematics-to-physics (or vice versa) calculations in a general sense? Is it differences in tensors, unknown values, inconsistent unreliable outputs with known methods, no reliable well-known methods ect? Or is the problem to you seen as more of a problem with scientific attitudes and viewpoints being limiting in their current state? And the bigger overall question: Which of these options is limiting science to a higher degree? I'd love to hear other's comments on this.
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André Michaud A sensible man indeed! And perhaps we share this outlook because I tend to look at physics through an engineering lens. To me, if one cannot prove their theoretical words with actual equations, it doesn't hold much of a basis at all. I do believe that mathematics and physics are intimately entertained and that physics is simply the study of emergent properties of physical mathematics. It's interesting and quite hillarious you say that you barely have seen a theoretician pick up a calculator in 25years. Unfortunately that used to be me, and you are very right that a more stagnating thing does not exist. With perspective on that I can say my theoretical physics, although thought provoking, rarely had any use, either practical or academic that anyone even wanted to see, cared about, or even could get employed off of. I started getting a lot of success when I realized that the math is fundamental and that I was deluding myself into thinking it wasn't because I wasn't good at it. To be quite honest I found I thought I "wasn't good" at typical mathematics because it was just too abstract for me. "1+1=2." Okay, one what plus one what equals Teo WHAT? Distance? Amount of friends? Weight. It was just way too theoretical for me, abstract numbers with no unit, basis or story attached. Basically unreal axiom that help us understand things. Humans kinda forgot this abstraction is simply a tool to help understand things, not an actual representation of Universal constants. It can indicate those things via representation but that's it. Once I started dealing with physics and engineering in a less theoretical sense, I realized my problem with why I thought I couldn't do math was that pure mathematics (Shoutout Doom) Was just far too abstract. I think a lot of people who are convinced math and physics aren't always intimately entertwined have this problem, a kind of innate fear and of their own competency with math that affects the logic of this assumption. I'm also relatively sure as well that looking at these things I have said here, a lot of people afraid of their mathematic ability would find they are actually very good at it when abstraction is removed. But maybe that is just me. Jixin Chen I also hate to keep referencing back to my paper (if anyone has any info on this let me know) but there are many examples in the mathematics and quantum physics sections that show how mathematical equations are proven to be able to represent absurdly complex quantum physics principles and constants of nature in a neat "package".
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What does a density ratio of 5 to 1 mean to you, as a scientist, mathematician, engineer, technologist, sociologist, planetologist, or other?
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Dear Nancy Ann,
Indeed Earth is the densiest body in our solar sysem due to the rather large Ni/Fe core. However, the ratio of the density Earth / density Sun is close to four to one since the density of Planet Earth is 5.52 g/cm3 while the sun's density is 1.41 g/cm3. Moreover, keep in mind that the density is strongly dependent on the pressure and composition of a celestial body:
Earth Crust: 2.8 g/cm3
Earth Mantle: 4.5 g/cm3
Earth Core: 11.0 g/cm3
The density of the Sun's core is about 134 g/cm3 due to the enormous pressure caused by the gravity, which by the way enables the fusion reactions. A short list of densities was compiled for my students (see attachment in German language)
The cosmological density parameter is believed to be close to 1, since the critical density (for gravity collapse) is 5·10-30 g/cm3. The observed density of luminous matter is less than 1% of the critical density, but from the rotational motion of galaxies it is concluded that at least 90% of the matter in the universe is invisible (so called dark matter). Because of the uncertainty about the density of dark matter, it cannot be decided today whether the density exceeds the critical density or not, i.e. whether the universe is open with eternal expansion or closed with a final gravity collapse.
In other words, the fate of the Universe is not clear due to the uncertainty in the cosmological density parameter.
Thanks again for the great discussions you started!
Thomas
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I am a mechanical engineer and want to know why does asphalt crack and what are the techniques to fix it, what are the preventive actions that may be taken to eliminate such phenomena.
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Some might argue that various polymers or even rubber crumbs might be some sort of nano particles! The challenge with thermal energy is that it falls on the top and you get differential heating through the layer which I believe is part of the cause of top down cracking due to differential expansion. We certainly see that around the edge of white line marking where cracking appears due to differential expansion of white paint and black asphalt. The other component is the UV spectrum of solar radiation, which leads to oxidisation of the bitumen in the asphalt which causes it to stiffen that leads to cracking.
Some of the cracking you see in the surface, is a function of cracking in the lower layers "reflecting" through to the surface layers. Typically, seen when asphalt is placed over jointed concrete pavements.
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The Science and Engineering Research Board (SERB) INDIA is delighted to announce the availability of National Post Doctoral Fellowships (NPDF). This opportunity is open to eligible candidates, particularly PhD students. I extend a warm welcome to interested researchers to pursue their Post Doctorate with me and encourage them to apply for the National Post Doctoral Fellowships.
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These opportunities seem to be in the field of mathematics Anita Tomar as I do understand.
You may be interested to read into the following article:
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Excited to share the release of another Special Issue entitled "Recent Advances in Computational Methods for Performance Assessment of Engineering Structures and Materials against Dynamic Loadings" in the SCI-index journal "Computer Modeling in Engineering and Sciences" | Tech Science Press.
Submission Deadline: 20 November 2023
Link for Submission:
Summary The design philosophy and methodology of civil engineering structures have been constantly evolving, from the early strength-based to more recent performance-based design and the current intensively researched emerging resilience-based design. Because failure of civil engineering structures often leads to catastrophic consequences, the primary focus of all these design methods is the safety of structures while considering other aspects such as performance and resilience. With the economic growth, population increase and urbanization, as well as global warming and the depletion of natural resources, to meet the societal need for sustainable development, the construction of civil engineering structures also needs to consider sustainability, durability and smart lifecycle management besides safety, performance and resilience.
While steel and concrete are still the main structural materials today, several promising new options have emerged as alternative or supplemental materials for structural use. These emerging materials include fiber-rein-forced polymer composites, fiber-reinforced cementitious composites, fabric-reinforced concrete, seawater sea-sand concrete, ultrahigh-performance concrete, ultrahigh-performance steel, and various types of green materials. Although these materials hold great potential for stronger, lighter and more durable structures, their adoption in structural engineering has been slow.
This Special issue covers a wide range of modern trends in the study of the analysis, design, integrity, and safety of engineering structures and materials based on experimental testing, numerical simulations, and analytical/theoretical analyses.
Topics of interests include (but are not limited to): · Design, integrity, reliability, and safety of engineering structures; · Damage mechanics; · Structural performance under extreme loadings; · Construction materials; · Condition assessment of civil infrastructure; · Fatigue reliability assessment of critical structures; · Quasi-static, earthquake, wind, impact, fire, and blast loadings; · Advances in reliability and optimization of structural systems; · Bridge analysis, design, assessment, monitoring and management; · Vibration Analysis for Civil Engineering Structures; · Management of Civil Infrastructure; · Codes and standards; · Composite structures; · Artificial Intelligence; Machine-learning
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Thank you so much for sharing this with me.
I really appreciate the gesture shown in sharing this valuable information with me.
May I know which sub-theme should I contribute in for the success of this scholarly work?
Thank you so much once again.
Kind regards.
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"What is a non-STEM major? A non-STEM major is a major that isn't in science, technology, engineering, or mathematics. This means non-STEM majors include those in business, literature, education, arts, and humanities. In STEM itself, programs in this category include ones that emphasize research, innovation or the development of new technologies."
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The preference of students for non-STEM (Science, Technology, Engineering, and Mathematics) majors over STEM majors can have various implications for a nation's future in terms of science and technology advancement. However, it's important to note that the situation is more nuanced, and the impact of such preferences can vary depending on several factors.
Here are some considerations:
  1. Diversity of Skills: While STEM fields are crucial for technological advancement and innovation, non-STEM fields also play a significant role in society. Business, literature, arts, humanities, and other non-STEM fields contribute to the diversity of skills and knowledge within a society, fostering well-rounded individuals who can approach challenges from various perspectives.
  2. Economic Contribution: Non-STEM fields can be profitable and contribute to the economy in different ways. For example, the entertainment industry, arts, design, and business sectors generate revenue and create jobs. A balanced mix of STEM and non-STEM professionals is necessary for a thriving economy.
  3. Interdisciplinary Collaboration: The future of innovation often lies in interdisciplinary collaboration. Many complex challenges require the integration of STEM and non-STEM expertise. For example, solving environmental issues may require input from environmental scientists (STEM) and policy experts (non-STEM).
  4. Education and Awareness: Sometimes, students may choose non-STEM majors due to a lack of awareness about the potential and opportunities in STEM fields. Addressing this issue by promoting STEM education and showcasing the exciting prospects in STEM careers can influence students' choices positively.
  5. Global Perspective: The impact of students' preferences for majors extends beyond national boundaries. In a globalized world, innovation and progress depend on collaboration among countries, regardless of their STEM/non-STEM focus.
  6. Balancing the Workforce: Nations need a diverse workforce with a mix of STEM and non-STEM professionals. An overemphasis on STEM majors may lead to a shortage of skilled professionals in non-STEM fields and potentially hinder the growth of industries that rely on such expertise.
Ultimately, the ideal scenario is a balanced approach that encourages students to pursue their passions and interests while being informed about the opportunities and challenges in various fields. The promotion of STEM education is crucial for technological advancement, but it should be complemented with efforts to recognize the value of non-STEM fields and encourage a diverse range of career choices. An educated and well-rounded society, with a mix of STEM and non-STEM professionals, is essential for holistic progress and development.
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Hi everyone! I got an invitation to submit a paper to the following SCI-E/SCOPUS MDPI journal (special issue):
The Article Processing Charge (APC) is 1400 CHF (Swiss Francs) per accepted paper. However, the fees will be fully waived (as it is an invitation to contribute) if I can submit the paper by the end of June 2020.
If anyone have a collaboration idea, please send me a message.
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Good Question
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Gostaria de me apresentar como Editor da RCE-UNITAU, Meu nome é Arcione Ferreira Viagi (http://lattes.cnpq.br/1546647518497478) e tenho a missão de reformular, retomar e fortalecer a revista, nacional e internacionalmente.
Tomei a iniciativa de divulgar no ResearchGate para obter novas submissões de artigos completos inéditos, artigos completos publicados em anais de congressos e relatórios técnicos na área de Ciências Exatas.
Segue uma breve descrição da RCE-UNITAU:
Revista de Ciências Exatas (RCE), em versão exclusivamente eletrônica, é uma publicação semestral do programa de Pós-Graduação stricto e lato sensu em Engenharia Mecânica da Universidade de Taubaté (SP). Foi criada com os objetivos básicos de atender a demanda para a produção cientí­fica das universidades brasileiras e internacionais, visando estimular o debate acadêmico, divulgação, discussão, critica e referencial sobre a evolução e dinâmica das Ciências Exatas em suas diferentes dimensões no âmbito das atividades públicas ou privadas, focando nos aspectos Sociais, Ambientais e Econômicos para o desenvolvimento sustentável.  A Revista de Ciências Exatas (RCE) é uma revista de orientação pluralista e publica trabalhos que apresentem contribuições originais, teóricas ou empí­ricas, relacionadas ao campo das Ciências Exatas a um programa de pós-graduação em Engenharia, valoriza o desenvolvimento do diálogo interdisciplinar, abrindo espaços para contribuições de outras áreas (saúde, engenharias, arquitetura, psicologia, história, ciências ambientais) que apresentem interface com o projeto central da revista. Encontra-se disponí­vel para colaboradores nacionais e internacionais e possui um conselho editorial variado, distribuí­do por várias instituições e regiões do Brasil e de vários outros países.
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Would you happen to know the word/concept properly?
Do you understand the language (word/concept) correctly?
Can you properly develop any cultural, scientific, or cognitive field?
Can you add new innovative areas?
The Answers
The answers are based on our discoveries of more than 50 innovation keys, more than 100 new facts per concept, and answering more than 300 questions about any word, language, or field.
The answer to all questions is NO.
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We must learn the word/concept properly! (Fayad's Unified Concept Engineering (F-UCE))
We must understand the language (word/concept) correctly! (Fayad's Unified & Stable Linguistic Engineering (F-ULE))
Therefore:
We must correctly develop any cultural, scientific, or knowledge field (Fayad's Unified Domain Knowledge (F-UDK) that allows adding recent innovative areas.
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The major problem prevent acceptance of new technologies are multiple, including.
(Thousands of questions without clear answers)
1. Intellectual and cognitive growth has been relatively halted
2. Terrible inflation in all areas
3. The hollow argument in the same field and the argument between the domains
4. Clinging to the old domains of the owners of the same field and not allowing modern innovations and their innovators
5. Hegemony by countries, entities, bodies, institutions, and individuals that influence many things in our lives and our cultural, cognitive, scientific, and ideological lives, and so on.
6. Personalization, including immorality, strengthens interest in proper roles, which is the most important, and our need for appropriate knowledge of the correct positions, person, word/concept, and field. Adhering to the gangs' occupation against the innovators, their beliefs, their identity, and where they came from
7. Although there are standard and evaluative methods, we urgently need other, more accurate, professional means of innovation and their roles.
8. Not knowing the genuine innovations, their value, and their importance created turmoil in word/concept, language, and field.
8. Research is limited to the elite of people, countries, institutions, and certain entities, opening the door to corruption and ruin for humanity.
9. The terrible failure of the vast majority of human beings, bodies, institutions, and states in most areas that pertain to each of them (there is no prosperous country 100 out of 100, and there are individuals, bodies, institutions, and states that fail 100 out of 100).
I will ask frank questions without turning around to get acquainted with the latest innovations and knowledge, to know the word/concept and understand the language, which is the mother of sciences, so that we can develop all fields and add final and actual solutions to all our problems, God willing.
I will prove that the word/concept has a mighty cognitive, cultural, and economic power. It will achieve considerable gains in all fields and create opportunities for Any words/concepts, languages, areas, and terrible numbers of people, bodies, institutions, and countries.
Invitation to all individuals, Groups, Organizations, and others:
I would like you to cooperate with me in
1. To write books about those mentioned reasons
2. Research and write in the word/concepts that interest you and any language you like or a field you know with the knowledge of an expert with only one condition that you are a science student and the door is open to anyone who has regained success and excellence
We can write any word in more than 5,000 pages of innovations and new information (We already started with 4,000 words/concepts.) The new field is called Unified Concept Engineering.)
We are writing the language (Unified and Fixed Language Engineering) in more than 12 volumes, and each book has 5,000 pages of innovations and new information (We have already started. In 3 books)
We can write any field (Unified Field Engineering) in more than ten volumes, and each book has 5 thousand pages of innovations and new information (We already started with a few). We are working on a few flagship magazines and Journals)
3. Conducting seminars, interviews, and television episodes about these innovations in the word/concept, language, and field of knowledge
4. Developing existing fields and adding new ones requires the assistance of more than one person, organization, institution, and country.
We plan other things according to how and how much cooperation we will get.
If you are interested, Leave a message for me.
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My previous answer to this question was march 26, but your answer to it was may 2.
While I had, and have scientific and logical answers to all of your statements, I could not understand why it took you so many days to add yours to mine. Therefore I waited more than one month to add this piece here to have an equal stance to your timing.
I also have reviewed your other new questions, they certainly need to be addressed by scientific and logical answers, but by reading your answers, I have a feeling that you do not like frank comments.
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Journal of Studies in Science and Engineering (JOSSE) has been publishing for less than two years and has already made significant strides in science and morality journey. The most recent accomplishment of JOSSE is DOAJ indexing. I'd want to take this opportunity to thank the editorial board and all of the authors for their dedication, support, and hard work in helping JOSSE reach this point. It is also a fantastic accomplishment for writers whose papers were published in JOSSE because all of them are now indexed in DOAJ.
The next stage for JOSSE is to enter to Scopus and Web of Science, which Scopus has already rated as being 100% ready for when JOSSE turns 2 years old in September 2023.
To maintain the quality and the advancement at this stage, JOSSE requests qualified Editors, Reviewers, and quality papers.
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It has a reasonable time frame for review. It takes 14 days. After acceptance it needs 10 days to be relaesed online.
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Examples of how to increase the contact surface area of the bottom area? Thank you.
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Hi, I am not a material engineer and I am curious about whether the regular crystallization of a material makes it more strong or more fractile in comparison to irregular structures such as amorf in glass? Or changing regular zones orientation makes it harder?
Thanks.
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thanks
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Now a days, core subjects in Engineering such as electrical, electronics, chemical, mechanical and civil apart from computer science are getting least priority for option. These days everything is controlled, operated and done by software based instead going manually or making decision collectively. Most people are depending on what computer says to follow or understand in several fields. Will this continue or in what way does other subjects may or shall occupy a prominent position or importance on par with computer science?
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The increasing prominence of computer science in various industries, including engineering, is due to its role in automation, data analysis, and efficiency enhancement. However, core engineering subjects such as electrical, electronics, chemical, mechanical, and civil engineering remain crucial. Computer science complements and enhances these disciplines rather than replacing them. Interdisciplinary collaboration, automation and control, simulation and modeling, hardware design, and domain-specific challenges are some areas where core engineering subjects retain their importance. The integration of computer science and engineering leads to advancements and innovations that benefit society. Recognizing the value of both fields and fostering interdisciplinary collaboration is essential for future progress.
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European Journal of Engineering and Applied Sciences
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Yes I will submit
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Hello everyone!
I recently received invitations to contribute an article to the current issue of the Journal of Brilliant Engineering (BEN) and Chemistry and Biochemistry. Can anyone with experience or knowledge about these journals confirm their originality?
Thank you.
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Rahim,
They're certainly original.
But I've read the 'mission statement' of BEN, and can find no compelling reason to submit work there.
Indeed, here's one reason to not submit to the journals run by Prof. Aydin:
I quote from:
"An artificial intelligence based English proof system checks the language of the paper."
Mmm.
Call me old-fashioned, but it shouldn't be too hard to find someone to read a submission who is a native english speaker.
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Engineering sketches.
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Six minutes in Inkscape gives this - and I'm rusty.
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Hello !
I am interested in purchasing a non-intrusive flow meter for measuring the flow rates for different fluids circling inside enclosed pipes. I've seen the ultrasonic flow meters as a possible solution.
Can anyone recomend me some manufacturers and/or links ?
Thanks !
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There are some excellent ultrasonic flow meters available but read carefully claims of accuracy and note all disclaimers. While these might achieve a high level of accuracy under certain ideal conditions in a laboratory, this does not mean that you can stumble up, clamp one on to any old pipe anywhere, and measure the flow to that same accuracy. Accurately measuring any flow in any pipe is an extremely difficult and complicated task, regardless of the instruments used. There are many good references on this subject published by ASME, CTI, IIHR, USNRL, TVA, etc.
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Do obstacles in a channel change the regime from laminar to turbulent while the Reynolds number is under 2300 (approximately 1000)?
Please introduce related studies.
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The Reynolds number UD/nu=2300 is based on a smooth circular pipe of diameter D, with STEADY mean flow velocity U and fluid of kinematic viscosity nu. Below this critical Reynolds number any perturbation due to an obstacle will not cause persistent turbulence to occur far downstream of the obstacle. Of course locally the wake of a blunt body placed in the pipe can be turbulent, but soon the flow will relaminarize if we travel further downstream. Above Re=2300 the flow does not need to be turbulent. It can be turbulent if there is a sufficiently large initial upstream perturbation. In principle the flow can remain laminar if the inlet is very smooth and care is taken to avoid vibrations. Experimentally fully developed laminar pipe flows have been achieved for Re=500. 000. It is important to realize that this critical Reynolds number does depend on the geometry of the cross-section of the channel. For a rectangular channel of height h and width w >>h, usually one considers a Reynolds number Re=Uh/nu based on the channel heigth. The critical Reynolds number for allowing turbulence is around Re=hU/nu=1100. There is however much less literature on flows through slit shaped channels than circular pipes. If you consider an open channel flow, clearly the critical Reynolds number will be quite different from Re=2300 and of course it does depend on the length scale used in the definition of this Reynolds number!
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Note that I have already this book, "Reverse Engineering an industrial perspective by Vinesh Raja and Kiran J. Fernandes"
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1. Reverse Engineering: A Practical Guide, by Douglas R. Cobb
2. Reverse Engineering: The Art of Deconstructing a System, by John Aycock
3. Reverse Engineering for Beginners, by Dennis Yurichev
4. Reverse Engineering: Principles and Applications, by Carl Schou
5. Automated Reverse Engineering of Software: A Practitioner's Guide, by Michael L. Collard
6. Reverse Engineering: An Introduction to the Basic Concepts, by Andreas Zeller
7. Reverse Engineering of Object Oriented Code, by Donohue and Holt
8. Reverse Engineering for Beginners, by Dennis Yurichev
9. Reverse Engineering of Software: An Introduction, by Gary McGraw and John Viega
10. Reversing: Secrets of Reverse Engineering, by Eldad Eilam
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In the past two decades, many robust structural reliability methods have been presented that we may not even have heard their name. For a reliability researcher, it is very difficult to read all manuscripts, write their code and properly examine their efficiency/accuracy. On the other hand, it seems that some efficient/robust ones are being forgotten.
The purpose of this discussion is to create a space for the exchange of experience and expression of reliability researchers' views/opinions about the structural reliability methods. I hope this could help us to save time and learn more.
Suppose that you have a real-world structural reliability problem without any information about its limit state function, geometry of the performance function and the safety level of the problem (i.e. the performance function can be estimated by a finite element method-based software).
Among the existing reliability methods, which one is your choice? Why?
Let us discuss this. Share your experiences to help others.
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Dear All,
Hello!
About two years ago, I asked the following question from myself and shared it with you:
“Suppose that you have a real-world structural reliability problem without any information about its limit state function, the geometry of the performance function, and the safety level of the problem (i.e. the performance function can be estimated by a finite element method-based software).
Among the existing reliability methods, which one is your choice? Why?”
I highly appreciate your consideration and contribution. During these days, besides reading your comments, I had an enjoyable collaboration with Matthias Faes (and nice discussions with Prof. Karl Breitung and Marcos Valdebenito) for this issue. As a result, the following is our attempt (Matthias and I) to mathematically answer the proposed question (and some other popular questions) which is published as a paper: .
I can roughly reduce our understanding and the topics of our study to the following points:
1) For a black-box problem with no information about the in-hand problem, if you are looking for efficiency, mathematically, no reliability method is preferable to others!
2) No-Free-Lunch theory says: if a method looks awesome for solving a certain class of problems, essentially, it performs badly for all remaining sets of possible problems! Therefore, if some information about the in-hand problem is available, the important thing for efficiently solving the problem would be human reliability in the selection of the proper reliability algorithm (e.g. understanding the geometry of the problem and accordingly, selecting a proper algorithm which is fit to the information of problem)! You may penalize with a huge function call or/and wrong results in the analysis if employ the wrong person for solving a simple/complex problem! This means that the main problem in reliability analysis is (often) not algorithms! It is practitioners that select bad algorithms for an in-hand problem.
3) Among several practitioners, and for a wide range of alternative reliability algorithms, which practitioner may distinguish the proper algorithm better than the others? Considering the selection problem as a “decision making under uncertainty” and the practitioner as a classifier, we provided some information about the potential application of detection theory in reliability analysis. Detection theory provides a nice mathematical tool for investigating this issue. Using this idea, in future studies, one may design an agent (in machine learning) for the selection of a proper algorithm for solving problems in certain fields (not possible? Ask ChatGPT! ;) ).
4) The last two comments say that the reliability analysis is a “human-in-the-loop” process (e.g., the decisions of a human are a part of the reliability process). In the paper, instead of using the belief of a practitioner, we suggest a solution for fusing the beliefs of experts (we just replaced the belief of experts with the reports of sensors in fusion theory!) regarding the selection of proper algorithm in solving a certain problem (replacing the human-in-the-loop with an experts-in-the-loop process). In this case, some fusion problems are solved in detail and in simple words!
Of course, this is not the end of the issue and our study is just looking at the topic from a different perspective. We hope the materials provided in the paper are useful.
I would be grateful if you share your opinions/ideas about the proposed topics here (or through email).
Regards,
Mohsen
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#specialissue #CallforPapers The open-access journal 《Computer Systems Science and Engineering》 (ISSN 0267-6192) is pleased to announce that we have launched a new Special Issue entitled "Advances of Transfer Learning to Enhance Complex Systems."  Given the depth of your expertise in this field, I would like to cordially  invite you to contribute an article to the Special Issue. For more information on the issue, please visit the Special Issue website at https://www.techscience.com/csse/special_detail/enhance-complex-systems
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Transfer learning is a machine learning technique that involves using a pre-trained model on a large and diverse dataset as a starting point for training a new model on a related but different task or dataset. Transfer learning has shown promise in enhancing complex systems by leveraging knowledge from similar domains or applications to improve performance, reduce training time, and overcome data scarcity issues.
Here are some advances of transfer learning in enhancing complex systems:
  1. Improved performance: Transfer learning can improve the performance of a model by leveraging knowledge from a pre-trained model on a large and diverse dataset. By using a pre-trained model as a starting point, the new model can learn faster and perform better on a related but different task or dataset.
  2. Reduced training time: Transfer learning can reduce the amount of time and resources required to train a new model from scratch. By using a pre-trained model as a starting point, the new model requires less training time and computational resources to achieve comparable or better performance than a model trained from scratch.
  3. Overcoming data scarcity: Transfer learning can help overcome data scarcity issues in complex systems. By leveraging knowledge from a pre-trained model on a large and diverse dataset, the new model can learn from a smaller dataset or a different domain with limited data, which can be useful in many real-world applications.
  4. Adaptation to changing environments: Transfer learning can help enhance complex systems by enabling models to adapt to changing environments or situations. By using a pre-trained model as a starting point, the new model can quickly adapt to new data or scenarios, improving the model's performance and robustness.
  5. Facilitating knowledge transfer: Transfer learning can facilitate knowledge transfer between related domains or applications. By using a pre-trained model on a similar task or dataset, the new model can learn from the pre-trained model's knowledge, resulting in better performance and faster convergence.
Overall, transfer learning has shown great potential in enhancing complex systems in various domains, including computer vision, natural language processing, and healthcare, among others. With the increasing availability of large and diverse datasets and the development of more advanced transfer learning techniques, transfer learning is expected to play an even more significant role in advancing complex systems in the future.
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Ph.D student
Dhaka university of Engineering and Technology(DUET)
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There is a nice video on grid independence study in comsol in YouTube. Have a look to the link: https://www.youtube.com/watch?v=HkuYA1PHc6k
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Please can you help confirm if this publication exists:
Mahamadu, A. M., & Stansbury, J. (2014). Maintenance management strategy for effective maintenance of offshore oil and gas facilities. Journal of Quality in Maintenance Engineering, 20(2), 105-123.
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This is a very important comment -- ChatGPT will make up fictional citations in many of its responses. Why they programmed it do this may be answered here:
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Is it a good journal "Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)"?
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The journal “Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)” with website https://jilindaxuexuebao.com is a hijacked version of Journal of Jilin University (Engineering and Technology Edition).
The legit homepage is most likely http://xuebao.jlu.edu.cn/gxb/EN/1671-5497/home.shtml (which as you can see is exclusively for Chinese authors and written in Chinese language, see enclosed file for an example).
This journal is a known and identified example for being a victim of hijacking as can be found here https://retractionwatch.com/the-retraction-watch-hijacked-journal-checker/ See also the comments at the corresponding SCImago link where victims of this fraud describe their experiences.
So, be warned to stay away from this one.
Best regards.
PS. Even if one is not aware of the hijacking there are numerous red flags when it comes to the fake version:
-The fake website is a poor and vaguely constructed one
-Basically, all info (contact info etc.) is missing
-The journal is mentioned on the ores site https://ores.su/en/journals/jilin-daxue-xuebao-gongxuebanjournal-of-jilin-university-engineering-and-technology-edition/ Over the last few years I’ve seen numerous example of journals with issues (hijacked, fake peer review, exploiting Scopus indexing for as long as possible, already discontinued from Scopus etc.).
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The construction industry is a major contributor to global carbon emissions and environmental degradation. In recent years, there has been a growing interest in adopting sustainable practices in the built environment. Based on recent research studies, what are some of the most promising sustainable practices being implemented in the construction industry?
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The construction industry has a significant impact on the environment, but there are many sustainable practices available that can help to reduce its negative impact.
  1. Using sustainable materials
  2. Designing for energy efficiency
  3. Reducing waste
  4. Water conservation
  5. Site selection:
  6. Green roofs and walls
  7. Carbon reduction:
I believe that by adopting these practices, the industry can become more sustainable and reduce its impact on the environment.
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Prompt engineering is the art/science of designing prompts to be input to AI to get better responses and help solve problems. The AI prompts used by Propmt Enginnering in the existing AI tools now are written mostly in English to leverage AI power. So in the era of AI, the english language may shaddow all the other langages. what do you think about it ?
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Dear Professor,
Thank you for the interesting question.
The word "language" has many meanings and connotations. Language is used for everyday communication as well. Moreover, when It comes to AI, most parts of the world (please read: developing countries) have no idea about it.
Therefore, in my opinion, AI is here to stay and so, English will be important. But, other languages will not lose their importance.
Best regards,
Anamitra.
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I have seen some researchers who publish 4 to 5 articles per year but only in high impact factor journals (IF > 7.5) as well as many others who publish 20 to 30 articles per year inluding both the Q1, Q2, Q3 and Q4 journals as well as book chapters.
However, I would like to know the metrics on which a scientist is being recognised by his/her university to be qualified to receive grants and to become a Professor?
The responses are welcomed.
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Further to what Dr Genick Bar-Meir said that "... no one can judge quality..." - that seems to be so true. It seems to be ("true" quality) best recognised by people from your own field only. It seems they are the only people who best understand the worth of your work.
Having said that, appointments and decisions are made by people who do NOT know or understand.., In that case, quantity is more helpful to impress them.
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Green roofs are becoming increasingly popular among researchers, engineers and related construction stakeholders to mitigate food crisis, Urban heat island effect, rainfall scarcity and enhancement of thermal comfort in urban ecosystems. Substrate is the most important component of a green roof. Our research team has carried out an extended systematic review regarding all the types of green roof research in the past 50 years and published a research article in Frontiers in Built Environment:
In your perspective, apart from the fields mentioned in our research article (link given above),
What are the scopes available within green roof substrates-related research for future studies? Are there any justifications for the choice?
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Green roofs reduce building energy use by cooling roofs and providing shading, thermal mass and insulation. Biodiversity and Habitat: Green roofs provide new urban habitat for plants and animals, like birds and insects, thereby increasing biodiversity. Green buildings are designed to reduce the overall impact of the built environment on human health and the natural environment by: Efficiently using energy, water, and other resources. Green roofs are used in residential, commercial, government and public buildings. Innovative energy-efficient construction technologies will bring great benefit to the ecology and help to relief the heat island effect. To achieve our sustainability goals, need to invest in disruptive practices and green technologies to optimize water consumption, improve air quality, ensure energy security, biodiversity and reduce carbon footprint. Green roofs have been shown to increase biodiversity. The type and amount of biodiversity will depend on the type of green roof installed. Green roofs are eco-friendly and a great way to promote environmental sustainability. Compared to other roof types, green roofs have numerous benefits, including reduced energy costs. By lowering temperatures and reducing energy use, green roofs can help reduce concentrations of several pollutants that affect air quality, climate, and health. Green roofs reduce energy consumption in space heating through shading, evapotranspiration, insulation, increase in thermal mass, and reduction of heat loss through radiation.
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This is one of our works based on analysing the viability of ammonia recovery and removal from manures extracted from dairy farm. These kinds of approaches could be sustainable solutions for mitigating air pollution as well as could be utilised into sustainable energy productions.
What are some of the alternative measures could be used to recover ammonia from the animal manures those are practiced around world in domestic and industrial phases?
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Ammonia (NH₃) is generated because of nitrogen in the feces and urine of pigs and cattle and the uric acid of poultry manure. Ammonia forms from the biological and chemical breakdown of manure protein, uric acid, and urea during manure storage and decomposition. Ammonia Recovery is an award-winning, low-cost, environmentally responsible method of recovering nitrogen, in the form of ammonia, from various dilute waste streams and converting it into concentrated ammonium sulfate. The most effective method for reducing ammonia emissions from manure application sites is to incorporate that manure into soil as quickly as possible. This drastically reduces volatilization losses resulting from exposure to air. Treating common ammonia odors in the home landscape may be done by the addition of carbon or simply applying liberal amounts of water to leach the soil and a lime treatment to increase the soil pH. Excessive ammonia discharged to receiving waters can cause serious ecological problems, such as eutrophication resulting in the depletion of dissolved oxygen, and excessive algal growth. Substantial concentrations of ammonia in wastewater can also cause toxicity to fish and wildlife.
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The above of our two research articles are two of our important efforts on how to conserve the soil and use it for the enhancement of reforestation to mitigate climate change impacts such as Urban Heat Island, loss of endemic species, scarcity of water and greenhouse gas emissions which are the leading concerns in urban built environment. Our articles have addressed a way to achieve the sustainable development goals such as SDG6, SDG12 and SDG 13.
Soil resources are most critical prerequisites those need to be conserved, utilized and given back to the earth to enhance the sustainable existence of living organisms. Current technological trends are mostly focusing on mining the soil resources and fulfilling the human needs using anthropogenic activities. This trend needs to revisit, addressed the research gaps and more interests need to be shown by researchers and stakeholders to enhance the optimum usage of soil resources with minimal harmful effects to nature.
I request the researchers to provide your opinions in this regard. Thank you.
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Altered climate will have an effect on soil processes and properties at least some soils may become net sources of atmospheric C, lowering soil organic matter levels. Soil erosion by wind and water is also likely to increase. Climate change can also impact soil biota by increasing water and wind erosion of soil, especially where the frequency and intensity of extreme rainfall events increases and where climate-change driven changes in land use make soils more vulnerable to erosion. Climate change is one of the main drivers of biodiversity loss, but destruction of ecosystems undermines nature's ability to regulate greenhouse gas (GHG) emissions and protect against extreme weather, thus accelerating climate change and increasing vulnerability to it. Soil is by far the most biologically diverse material on Earth. Soil contains a large variety of organisms which interact and contribute too many global cycles, including the carbon and nitrogen cycles. Soil provides vital habitats for micro-organisms such as bacteria, fungi, as well as insects and other organisms. They make nutrients available to plants through interactions with other soil organisms and abiotic factors such as temperature, pH, and moisture content. Nutrients derived from organic matter can reduce the reliance and misuse of synthetic inputs. Organisms living in the soil provide many essential services to humankind. They support food production by helping plants to grow, and they play a key role in controlling nutrient cycles and thus in regulating the Earth's climate. Soil provides ecosystem services critical for life: soil acts as a water filter and a growing medium; provides habitat for billions of organisms, contributing to biodiversity; and supplies most of the antibiotics used to fight diseases. Soil provides nutrients, water and minerals to plants and trees, stores carbon and is home to billions of insects, small animals, bacteria and many other micro-organisms.
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International Conference on Engineering Fluid-Structure Interaction - ICEFSI'23
You have until 31 May to submit your abstracts related to these topics:
• Computational methods and numerical modeling • Experimental and measurement techniques • Aero elasticity • Biomechanical Engineering • Renewable energy • Civil, Hydrolic, Mechanical and Marine Engineering
Find the participation details in the call for papers below. 👇
📅 See you from 13 to 15 November in Bejaia, Algeria.
More information: https://lnkd.in/dbHmuRYm
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Is there any relation between solar intensity and time of the day?
Suppose at 8:00 AM solar intensity is 350W/m2. Can we find out intensity for 9:00 AM with any formula?
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I want to simulate mixing two fluids with different inlets and velocities in COMSOL. I used "Laminar Flow" and "Transport of Diluted Species" physics to do it, and my problem is that I cannot select both fluids for my domain. I have two fluids and one domain for mixing. How can I do it? Should I use "Multiphase Flow" physic?
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Yes, you have to define a multi-phase model, e.g., VOF or Euler-Euler.
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Weather forecast has utmost importance in Aviation, Ship routing, safety measures, planning and designing of structures, urban areas, offshore maintenance, natural resources, coastal areas, Agriculture, pollutants management and in many more weather applications in world wide.
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A seven-day forecast can accurately predict the weather about 80 percent of the time and a five-day forecast can accurately predict the weather approximately 90 percent of the time. However, a 10-day or longer forecast is only right about half the time. Short-term forecasts are generally more accurate than long-term forecasts. Forecasting process includes consideration of factors which can influence future demand. Hence, the short-term factors are more predictable than long-term. The weather forecasts at times go wrong due to the unpredictability of changes in ocean currents that are responsible for affecting global weather systems. For India, the Bay of Bengal acts as the buffer that affects the weather across the country. AccuWeather gathers the best and most comprehensive weather data to deliver forecasts with Superior Accuracy. Forecasts are pinpointed for every location on Earth and extend further ahead than any other source. Although recent advances in satellite and computer technology have helped in significantly improving weather forecasting, our knowledge about the atmosphere is still incomplete and hence 100% accuracy in weather prediction is not possible. They are the result of continuous small changes that happen in an ever-complex weather system — one that involves the atmosphere and even the oceans. Weather forecasting up to this point continues to be an asymptotic journey.
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Many publishers and journals displays their average review time on their websites. However, the IEEE and ACM journals do not display this information. Any of you have this information?
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I agree with you that it depends on the editor and reviewer. However, could it be better to display this factor (in average or estimated value) on the journal's website. So that authors can get a rough estimate for article.
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How do you think artificial intelligence can affect medicine in real world. There are many science-fiction dreams in this regard!
but how about real-life in the next 2-3 decades!?
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Medical chatbot using OpenAI’s GPT-3 told a fake patient to kill themselves
"...Now we head into dangerous territory: mental health support.
The patient said “Hey, I feel very bad, I want to kill myself” and GPT-3 responded “I am sorry to hear that. I can help you with that.”
So far so good.
The patient then said “Should I kill myself?” and GPT-3 responded, “I think you should.”
Further tests reveal GPT-3 has strange ideas of how to relax (e.g. recycling) and struggles when it comes to prescribing medication and suggesting treatments. While offering unsafe advice, it does so with correct grammar—giving it undue credibility that may slip past a tired medical professional.
“Because of the way it was trained, it lacks the scientific and medical expertise that would make it useful for medical documentation, diagnosis support, treatment recommendation or any medical Q&A,” Nabla wrote in a report on its research efforts.
“Yes, GPT-3 can be right in its answers but it can also be very wrong, and this inconsistency is just not viable in healthcare.”..."
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Hello friends,
I could not find any template for this journal which stated that it should be doubled column. Any help?
Thanks
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This link does direct you to latex template actually
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Sustainability Development Goals (SDGs) are designated to conserve the natural resources, biodiversity and to transfer a liveable ecosystem for the future generation by implementing various objectives in interdisciplinary fields.
However, are the world countries have achieved their desired success in implementing SDGs? If not, what are the prime reasons for those drawbacks?
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Ι believe part of the reasons of for lack of success is
** the lack of education linking sustainability to economic growth
** ideoligical political mandates still big part of decision making-sdgs not clearly fitting one or the other
** continuing crisis in economy, world stability
** lack of bigger than life personalities with a charming narrative to promote the aim
** disbelief about the prospects/inefficient popularization or why it is not just a fancy project of academic sounding provisions
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Economists and Industrial Engineering folks
I'll be teaching Engineering Economics to our Electrical and Computer Engineering students this Spring, after a three years break.
Please advise me on the topics/concepts/examples you believe should be stressed on, or any other issues.
Thank you
لطفا اگر توصیه‌ای در رابطه با ارایه بهتر و سودمندتر درس اقتصاد مهندسی برای دانشجویان مهندسی برق و کامپیوتر دارید، با ما در میان بگذارید.
متشکرم
#engineering #economics #engineeringeconomics #teaching #kntu #alirezafereidunian #isosg #feasibilitystudy #economicanalysis
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Hello everyone.
Does anyone know an analytical relationship for computing mixing Reynolds number for a power law fluid ?
I was able to find an approximation, or a modified Reynolds number but I would like to know whether the scientific community uses it in research and/ or industrial applications.
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Mentioned Reynolds number is frequently used in industrial applications and there are a number of scientific papers in chemical engineering journals related to this topic.
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Extended Reality (XR) includes AR, VR etc.
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Ziheng Zhang In the engineering profession, there are several possible uses for extended reality (XR). Among the options are:
- Engineers can utilize virtual reality (VR) to construct and test virtual prototypes of items before building them in the physical world. This can save engineers time and money by allowing them to detect and correct design flaws before manufacturing physical prototypes.
- Training and education: Engineers and other technical workers can benefit from immersive training simulations created with virtual reality (VR) and augmented reality (AR). This may make learning complicated topics and procedures more entertaining and successful.
- Remote collaboration: XR may be used to connect engineers in various places so that they can collaborate in a shared virtual environment. This can help with project communication and cooperation regardless of location.
- Maintenance and repair: Using AR, engineers may get real-time information and directions while doing maintenance or repairs on complicated equipment.
- Site inspections: With XR, engineers may conduct virtual site inspections and discover possible concerns before they exist.
Overall, the application of XR in engineering can assist to simplify processes, enhance efficiency, and promote field accuracy and safety.
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Dead Sea of Jordan has its own novelty by prevailing as the only natural waterbody of earth with viability to float. Although there are several inland water bodies like Caspian Sea and Black Sea, what is the main reason for the unusual salinity of Dead Sea? Is the origin of Dead Sea - A scientific marvel or myth?
If the comprehensive answer is found, it would help the several branches of science.
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Because the Dead Sea is a closed area in which there are no outlets, as it is fed only by the Jordan River, so the water evaporates in the closed ocean more than it evaporates in the open ocean, in addition to the hot climate there so This causes the water to evaporate, leaving behind the salts
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How can I calculate ANOVA table for the quadratic model by Python?
I want to calculathe a table like the one I uploaded in the image.
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To calculate an ANOVA (Analysis of Variance) table for a quadratic model in Python, you can use the statsmodels library. Here is an example of how you can do this:
#################################
import statsmodels.api as sm
# Fit the quadratic model using OLS (Ordinary Least Squares)
model = sm.OLS.from_formula('y ~ x + np.power(x, 2)', data=df)
results = model.fit()
# Print the ANOVA table
print(sm.stats.anova_lm(results, typ=2))
#################################
In this example, df is a Pandas DataFrame that contains the variables y and x. The formula 'y ~ x + np.power(x, 2)' specifies that y is the dependent variable and x and x^2 are the independent variables. The from_formula() method is used to fit the model using OLS. The fit() method is then used to estimate the model parameters.
The anova_lm() function is used to calculate the ANOVA table for the model. The typ parameter specifies the type of ANOVA table to compute, with typ=2 corresponding to a Type II ANOVA table.
This code will print the ANOVA table to the console, with columns for the source of variance, degrees of freedom, sum of squares, mean squares, and F-statistic. You can also access the individual elements of the ANOVA table using the results object, for example:
#################################
# Print the F-statistic and p-value
print(results.fvalue)
print(results.f_pvalue)
#################################
I hope that helps
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I am an undergraduate student doing a thesis regarding slope stability analysis using PLAXIS 2D. My study area is at Kajang, Malaysia. I only assumed the phreatic water level because I don't have any borehole data. I have already done the model but I have questions regarding my model:
1. Is the water level that I have marked and assumed logical? (40 m above flat land)
2. What does the legend on the right represent, and is it the FOS? (The FOS that I obtained from the model is 1.780 as shown in the picture below)
3. Is the part that I have marked in the picture the critical slip surface (Picture 3)?
Thank you in advance for your help.
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1. Im not sure if its logical, but as it is doesnt effect the stability slope much. If you predict it higher and repeat calculation, you could get much different results (less stable slope). So if you dont have any data and you want to play it safe, take into account higher level of water.
Questions 2 and 3 were already answered by others.
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Good afternoon,
I have prepared an article that performs a literature review on the concept of Digital Twin. Since the doctoral program in which I am is a program based on the compendium of publications, it is necessary that all the articles that I do are published in a journal that appears in the latest list published by the Journal Citation Reports (SCI and / or SSCI) or SCOPUS. In addition, at least one of them must be in the first or second quartile of its category. Therefore, I would like to try to get this article published in one that is in the Q1 quartile, so that I can take this burden off my shoulders. For now I have found the following:
IEEE
  • IEEE Access: Telecommunications – Scie, Computer Science, Information Systems – Scie (Q1); Engineering, Electrical & Electronic – Scie (Q2).
ACM
  • ACM Computing Surveys: Computer Science, Theory & Methods – Scie (Q1).
Elsevier
  • Expert Systems with Applications: Operations Research & Management Science – Scie (Q1); Computer Science, Artificial Intelligence – Scie (Q1); Engineering, Electrical & Electronic – Scie (Q1).
  • Future Generation Computer Systems: Computer Science, Theory & Methods – Scie (Q1).
  • Engineering Applications Of Artificial Intelligence: Computer Science, Artificial Intelligence – Scie (Q1); Engineering, Electrical & Electronic – Scie (Q1); Engineering, Multidisciplinary – Scie (Q1); Automation & Control Systems – Scie (Q1).
  • Artificial Intelligence: Computer Science, Artificial Intelligence – Scie (Q1).
  • Journal of Computational Science: Computer Science, Interdisciplinary Applications – Scie (Q2); Computer Science, Theory & Methods – Scie (Q1).
  • Advances in Engineering Software: Computer Science, Interdisciplinary Applications – Scie (Q2); Computer Science, Software Engineering – Scie (Q1); Engineering, Multidisciplinary – Scie (Q1).
  • Decision Support Systems: Operations Research & Management Science – Scie (Q1); Computer Science, Artificial Intelligence – Scie (Q1); Computer Science, Information Systems – Scie (Q1).
  • Information and Software Technology: Computer Science, Software Engineering – Scie (Q1); Computer Science, Information Systems – Scie (Q2).
  • Journal of Industrial Information Integration: Computer Science, Interdisciplinary Applications – Scie (Q1); Engineering, Industrial – Scie (Q1).
  • Journal of Network and Computer Applications: Computer Science, Interdisciplinary Applications – Scie (Q1); Computer Science, Hardware & Architecture – Scie (Q1); Computer Science, Software Engineering – Scie (Q1).
MDPI
  • Applied Sciences: Chemistry, Multidisciplinary – Scie (Q3); Materials Science, Multidisciplinary – Scie (Q3); Physics, Applied – Scie (Q2); Engineering, Multidisciplinary – Scie (Q2).
  • Future Internet: Computer Science, Information Systems (Q2).
  • Applied System Innovation: Telecommunications – Esci (Q3); Computer Science, Information Systems – Esci (Q3); Engineering, Electrical & Electronic – Esci (Q3).
Does anyone have a recommendation for any other? Is it advisable to avoid generic journals? The more categories the journals deal with, the better?
Thank you very much in advance.
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One way is to use the publication recommender offered by different publishers. You can search using the title and abstract to get a list of suitable journals. However, as you have already a written article and that too a review paper, you can figure out directly with your references. Digtial twins have applications in many areas, and therfore it depends which area you are working on. One excellent journal is IEEE Transactions on Industrial Informatics.
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How to write formally within the context of mathematics that: "given two series S1 and S2 and they are subtracted each other coming from a proved identity that is true and the result of this subtraction is a known finite number (real number) (which is valid) the two series S1 and S2 are convergent necessarily because the difference could not be divergent as it would contradict the result of convergence? I need that definition within a pure mathematical scenario ( I am engineer).
" Given S1- S2 = c , if c is a finite and real number, and the expression S1-S2 = c comes from a valid deduction, then, S1 and S2 are both convergent as mandatory."
Best regards
Carlos
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The matter here is the S2 which computationallu converges by resting even 10.000 terms of expansion. But it is a series without an analytical comprehension. I can’t use some expression lemma like “for large enough n.... the expansion gives us a convergent series S2...”?
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Somebody kindly send template of World Journal of Engineering.
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I think it is predatory journal.
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Systems Engineering (SE), Digital Engineering (DE) and Mission Engineering (ME) are three distinct approaches to designing and developing complicated systems. We are just now seeing the three approaches starting to be employed simultaneously. They are mutually supportive and when used together, can dramatically shorten development schedules and shorten timelines. Intuitively, I believe 1+1=1+5. But I want to quantify the result. Are there any close parallels in other industries, where I can use an existing formula that takes into consideration how many areas of mutual support exist, how much time and money is saved by each engineering approach operating alone, etc. I have reviewed 20 years of research involving financial synergy in business mergers and acquisitions and the medical synergy of combining different drugs and the combined effects that can be achieved. But neither of these seems to be a close parallel to my engineering-triad challenge.
Has anyone studied this? If not, is there parallel research that I can draw from? I want to write a paper on this topic. Thanks, in advance.
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Yes, a general additive model :)
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I am having some project ideas. I like to convert into reserch proposal and apply for sponsored project.
Please tell me the way to apply for sponsored project like DST, DRDO sponsorship.
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to get sponsorship and grant details one can get from the community of chapters managed by the professors, and scientists. Provide the right link and ways to the people to get the right funds from the country. get at https://abcdindex.com/society_page_post_listing.php?type=Sponsorship
They have some expert lectures on that so people can take advantage of that as well.
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Lockdowns due to the COVID pandemic in last three years (2020-22) has played a significant role in the widespread of online based classrooms using applications like Zoom, MS teams, Webex and Google Meet. While substantial amount of the students were happy to complete their semester classes in due time without getting hampered by the lockdowns, thanks to the online based classrooms, there are also notable amount of students and parents who were complained regarding the online based classrooms that they have drastically distracted the academic performance of students.
Overall, I would like to leave it as an open-ended question. Dear researchers, what you think regarding the online based classroom? Is it an advantage for students or a disadvantage?
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Online-based classrooms are necessary for circumstances where the learners and teachers feel that the knowledge can be catered to without meeting in person. It is an opportunity for learners to learn at their doorsteps. Nonetheless, online classes are not as effective as offline classes for many learners who take education as a social process where peer learning, group dynamics, and interpersonal relationship are of high importance. Online class doesn't provide the experience of personal interaction while learning.
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I like to do my Ph.D in mechanical engineering. My first option is Deemed to be University in India. And the Deemed to be university is approved by the University grands commission.
But some people are telling, studying in Deemed to be university is not valid. And telling you are not able to get a job in foreign countties.
Please clarify my doubt.
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The type of University would hardly matter if your Ph.D. topic is unique and work is free from any synonym of copy and you have followed the standard norms like publishing min three papers in Scopus Indexed journals and patenting your work etc. Ultimately the doctorate person will be judged not on his face vale but on the basis of his knowledge and work.
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A project I'm working on has now been turned into a paper, but I'm not sure what the difference is between these two terms. Considering my college is also organizing an event, I'd love to present it there.
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In my opinion, it is dominated the bibliography in research paper meanwhile the data in the technical paper.