Questions related to Mobile Computing
In the area of electronic banking, including mobile banking, commercial banks improve technological solutions for the use of smartphones for the purpose of conducting financial transactions by clients.
Commercial banks spend the most resources on developing security systems, reducing gaps in online banking systems used by cybercriminals and improving IT systems risk management procedures.
The changes taking place in online banking, including mobile banking, are currently determined primarily by the technological progress related to telecommunications and IT devices.
In view of the above, the current question is: Determinants of the development of mobile banking?
Please, answer, comments.
I invite you to the discussion.
Dear Friends and Colleagues of RG
I described the problem of cybercrime in publications:
I invite you to discussion and cooperation.
Thank you very much
Frameworks such as Apache Storm, Flink, Heron and Spark were developed to run on clusters or cloud. These such kinds of infrastructures do not have memory, CPU and bandwidth limitations. In contrast, computing resources at the network edge are constrained regarding their capabilities. I am aware of the Apache Edgent and Nifi frameworks. However, they were conceived to run locally on a single computing resource. If you want to run them in a distributed infrastructure, you might create your own stack of components (broker + framework).
I need Some topics regrading the research for mobile computing with artificial intelligence for my research thesis?
Of course: Not everyone has the opportunity to buy a small piece of land or a garden.
In this case you can answer the question with your own wishes. There are probably not so many people who want to burden their leisure time with gardening and ecological ideas.
I give an example from my own family. We live on a somewhat busy street, the garden is separated from the street by a high hedge. A short film - now available on Youtube - shows how even nature cultivated by humans can possess beauty and ecological diversity. Before answering my question take three minutes for the link:
The Fourth Industrial Revolution is the next generation of industry based cyber-physical systems, such as artificial intelligence, robotics, augmented reality, IoT, 3-D printing, nanotechnology, biotechnology, etc.
How could you image the classroom of the future?
Many researchers suggested that i need at least 7000 positive samples and more than that for negative samples. Any recommendation?
"It is a world trend that digital economy is merging with real economy. Through the use of digital technologies, investments and innovations take place in the fields of smart grids, self-driving vehicles, e-government, advanced manufacturing, etc. Our question whether there is any general or formalised technology which could be equally used in various fields, and which could help to achieve digitalisation in everyday life, also in the transportation."
Dear research colleagues,
Among FPGAs/Raspberry pai/DSP Processors, etc. which device best suits for implementing Digital Image Processing Algorithms?
I want to run HMIPv6 as I want to do some modification to it and then want to test the results of both simulations.
1. First I have tried omnet++ 4.0 but their is no code for HMIPv6 inside inet or at git. I tried to modify xMIPv6 after reading some above discussion but that doesn't help me. I am not so much efficient.
2. Then I switch to omnet++ 4.5 but it showing error after downloading 91% of inet, I further tried by downloading inet and then import that to project. But that doesn't help. Whenever I try to run any example- it throws error ( run #0 : finished with error).
Please do help me as I am at final stage and I have to submit this code further. Any help or guidance will be very much appreciated.
I am looking for commercial wireless heart sensing devices that provide real time access to raw data stream (i.e. via bluetooth). Most devices I know (i.e. fitbit, tom tom etc) are for the fitness market but do not allow accessing data.
Thank you for any suggestion -
I am chairing a special session at The Eleventh International Conference on Emerging Security Information, Systems, and Technologies (SECURWARE 2017). The special session will focus on Secure Software Development (SSD). The conference will take place in Rome from September 10th to the 14th.
Secure software development is the process involving people and practices that ensure application Confidentiality, Integrity, Availability, Non-Repudiation, and Authentication (CIANA). Secure software is the result of a security aware software development processes, where CIANA is established when an application is first developed. Current Secure Software Development LifeCycles (SSDLC) are just old Software Development LifeCycles (SDLC) with a security training pre-pended before the traditional development steps, and an incident response process appended to the end of the lifecycle. To solve application cyber-security issues, one needs to develop the models, tools, architectures, and algorithms that support CIANA on the first day of a development project.
SECURWARE is a terrific cyber-security conference and community to become associated with. Please let me know if you have colleagues or students who would be interested in submitting. Because this is a special session, I can take submission up until August 2nd. The late submission date makes it an ideal place for the dissemination of the results from your Summer research projects
Game Theoretical Framework based algorithm is a hotcake nowadays in wireless communication research fields owing to its multiple application. Gaming algorithm is impressive in preparing economic model but there might be some obstacles in implementing the algorithm practically. I want to know about those limitations which may affect implementation of this algorithm practically in a wireless network.
please help if you know the equation for calculating the delay. let assume that we have patient with wearable sensor that used to send the data to the patient phone. How can we calculate the transmission delay from the sensor to the mobile?
I am trying to find the IoT term definition for my research. It seems that it is good opportunity to ask this question once more. In most cases I know the term IoT/IIoT can be replaced by SCADA (Supervisory Control an Data Acquisition) , ICT (Information and Communication Technology) and the text still will be perfectly OK.
Do you think the box (or even pack) of cigarettes could be the “thing”. It has a barcode, so it is the source of data. Is it the sensor - no because in this case the barcode reader (industrial scanner) is the “sensor”. Can we recognize the bar code reader as the “thing” – the answer is not if the goal is to provide GLOBAL cigarettes tracking system. The same applies to drags for example. Is it IoT/IIoT solution - my answer is YES no doubts - it is vital for selected industries.
Is the "thing" smart - I don't think we can call the bar code something smart. The most interesting observation is that we can recognize this case as the IoT solution, but we have not mentioned Internet, wireless, etc. at all, but only that we have important mobile data and the solution is globally scoped.
Let’s now replace the word GLOBAL by LOCAL (for example cash desks farm in the shop) and the same application is no longer IoT deployment , isn’t it? It is true even if the cash desks are interconnected using IP protocol !
My point is that a good term definition is important to work together on: common rules, architecture, solutions, requirements, capabilities, limitations, etc. The keyword in the previous sentence is COMMON. Importance of the sensor and data robustness requirement could be applicable to many applications, e.g. controlling an airplane engine during flight. The same engine could be monitored and tracked after landing in any airport using local WIFI by uploading archival data to a central advanced analytics system. Is it IIoT? During the flight it isn't, but the solution is life sensitive. After landing it is IIoT, but the reliability of the data and data transfer is not so important, isn't it.
My concern is that your definition provides pretty good description of the Universe, but working on engineering standards is like carving on the stone - it is one way ticket. To buy one way ticket you must be sure where you are going.
To be constructive my proposal for the definition is as follows:
Try it against the above example.
In the above proposal the open question is: what is the "mobile data", but I believe that the definition is much closer to the final expectation. To answer this question I propose this approach: Data is Data It Doesn’t Matter Where It Comes From!
For implementation of this concept we can use Object Oriented Internet paradigms coved by the:
The only missing thing is how to use these building blocks to make the consistent IoT puzzle (deployment domain). In this case a sponsor is needed to scope globally the outcome.
I believe that finally this way we will get good starting point for the further standardization.
Let me know how this scenario works for you.
Hello to all researcher,
We know that we can easily simulate VM migration in Cloud using CloudSim. But, is there anyway to simulate VM migration with the user MOBILITY scenario in Mobile Cloud Computing(MCC) environment using CloudSim ?
Or is there any other simulator for the MCC to simulate such scenario ?
Thanks for your support.
Most embedded systems now have enough memory and processing power, and the tiny ones, such as wearables, are used only as satellite devices to smartphones.
I wonder what is the significant potential impact of code optimization that worthwhile the research effort?
Actually and since several years, companies like ComNav Technology Ltd. Shanghai are producing high quality OEM boards and GNSS receivers at low pricing. We can find K500 board at 200 € level with highest quality. The other challenge is to have high quality GNSS antenna and companies like HARXON released HELIX antenna type of same quality level than surveying grade antenna. The trend is already engaged and that will be part of the "New RTK revolution" where RTK will be affordable and even available on SmartPhone. TRIMBLE CATALYST is a good example, where the industry is now very much concerned about people and customers refusing to over pay their GNSS receivers. I think the distinction should not be on pricing anymore ("low cost") but on quality vs pricing. You should also add the GNSS antenna as that is remaining the only "analog" part where precision is coming.
Indiveri, Giacomo, and Shih-Chii Liu. "Memory and information processing in neuromorphic systems." Proceedings of the IEEE 103.8 (2015): 1379-1397.
Interesting work on state-of-art neuromorphic architectures. Clearly, we are still in a brainstorming phase with experimental trials. Obviously, many of these architectures could have been simulated on CPU / GPUs. But practical implementation is a great source of inspiration and professional achievement. Additionally, investors' money wants to see the real thing to close the gap to the market. Fast time to market can indicate whether a promising technology will overcome the natural barriers of entry into application niches. But simulation of architectures can speed up the process and reduce implementation costs of dedicated integrated circuits.
Internet of things is not merely connecting few LED,s , temp controller with any board Now a days some people give training on the name of IOT. and teach the students only basics of embedded system Will it be the training on IOT? Kindly comment
I need to implement an algorithm based on spectrum sensing for a cellular device. Any idea how can I imitate spectrum sensing in Matlab using Mobile phone devices.
More than half of world's population does not have reliable access to the Internet. At the same time, educational resources are more multimedia-based than ever (bandwidth) and often hosted on centralised cloud-based platforms requiring a good Internet connection.
Inability to use online education in underconnected regions is particularly prominent in the case of MOOCs, where some researchers argue it may lead to even further global digital divide.
Are you aware of research or cases of making online educational materials/courses (e.g. MOOCs) available in underconnected areas?
In Jamaica, unemployment among the 14-19 age group is reported as 49.0% and among the 20-24 at 33% (STATIN 2014 LFS). Paradoxically, these age cohorts represents the population of millennials and digital natives are hence are supposedly the most tech savvy segment of the population.
Rapid evolutions in ICT has resulted in radical changes in the nature of work. A mobile computing device, pervasive internet connectivity shortens the distance between demand and supply poles for certain types of work; particularly short-term service-type jobs aka micro-work or e-lancing. (refer section 7, page 11 on Policy Document attached).
On a scale of Very Low, Low, Neither Low nor High, High, Very High, what productivity impact would most likely be the result ? Are there empirical data to support your assertion ?
Technical Report Priority policy recommendations for transforming individual ...
Roughly every decade we see a new computing platform on the horizon: PC, laptop, smartphone, ...then VR? Do you share the same opinion? I'd be interested to hear what everyone has to say.
I have to work with the Mobile Prediction using Data Mining Methodology.
I want data-sets to practice with the Data Mining tools like Weka/Rapidminer
It will be very nice if I could find a mobile environment for data mining.
We are researching on a mobile computing grid, as a use-case we selected the training phase of an artificial neural network (MNIST database, 60k images are distributed among participants devices, task parallalelism is applied at several calculations steps on devices). It is a fair conventional design, with an indexing server, but uses some novel bidirectional HTTP connections, and a novel universal app that allows the client to be executed on many form-factor devices (from microcontrollers to game consoles).
However, we received many negative revisions on the subject: "Your research is nonsense. Mobile computing grids have many issues, the idea is old and ill-fated, you must rethink the feasibility of your proposal".
Or even worse, other reviewer wrote: "The idea of using customer devices to solve medium- or large-scale computing jobs has been around for a long time ("desktop grids") and all instances of that idea have utterly failed. Yes, there was an occasional fad (like SETI initiatives), but that has all quieted down. Main problems were unreliability, too data rates and high latencies for anything but trivial problems, and the egregious problems with managing such grids. It simply does not work. The scientific community has soundly rolled back to conventional computing for anything that is even semi-serious work. And that is the case for dektop grids. For mobile grids, all these problems are compounded. On top of it, you would face issues with draining users' batteries - that will not be accepted by any significant part of the user base. That is, again, a repetition of another debate, in multi-hop communication."
In my previous revision of bibliography, I don't see this, in contrast, I see many aspects that can be researched and enhanced, but I may be wrong. So, are mobile grids *really dead*? Should we dismiss our 2-year work?
What is the scientific facts behind that?
Also that how to represent CDMA, 3G, 4G and 5G.
How to represent Satellite radio communication?
In Germany this year the market for smartphones grows faster than expected. Total revenues for 2015 increase by 7 per cent to 9.1 billion Euro (bitkom.org, 10.08.2015)
The total energy consumption of ICT is growing rapidly. Reduction of energy consumption is fine, but efficiency strategies alone have not led to a more sustainable situation. The following formula has been proposed for sustainable ICT
Efficiency + Sufficiency = Innovation for Sustainability (Hilty et al. 2011)
In mobile computing, the capacity of batteries in terms of energy density (energy/mass) is limited (DOI:10.5167/uzh-55640). This can be seen as an effective limitation (sufficiency), enabling more sustainable ICT innovations.
Besides energy consumption, scarce natural resources are part of every smartphone. The growing demand for mobile ICT devices results in an increase in product offerings, usually sustained through a shorter service life leading to a faster exchange of your smartphone.
Sufficiency strategies appear appealing to reach more sustainable consumption of ICT. Please share further examples of sustainable consumption of ICT, these can be driven by users, e.g. only use particular applications sundays, or driven by ICT design. I'm particularly interested in the interplay between user practices and ICT solutions for sustainability.
Are you aware of sufficiency strategies for sustainability in mobile ICT devices (like smartphones)?
I am exploring some research ideas about architecture for IoT. At present I am come up to a naive idea for IoT architecture, but I am not clear about how to validate the naive architecture for IoT.
Can anyone guide me in this regards, how to validate the architecture for IoT? what tool to be use? or any other guide line?
Thanks in advance
I would like to know your experience when using cross-platform tools for developing mobile applications. What is your experience mainly the possibilities and drawbacks of each one?
I am working on a project where a statistical estimator (ACE, abundance-based coverage estimation) is used. This estimator is like a function, which maps a set of samples to a single real value. I need to evaluate the performace of this estimator without groundtruth。
I want to evaluate it by LOOCV. If the variance of results from LOOCV is small, which implies that one less sample won't affect the estimation, then I think the perforamce of the estimatior is good.
I have been trying to search relevant papers but still fail to know how other people handle the evaluation problem without groud truth and wheter LOOCV can be used in this way.
Any suggestions? :)
I'm working in real time mapping of risk situations using mobile computers so I'm looking for sites and applications already made that offer services of mapping and statistics of crimes and natural disasters, or applications that help alert when those happen.
I've checked pages like Crime Reports which offer solutions similar to what I'm aiming for.
i need an idea to apply the context-awareness on mobile computing envionment in education.
simpley, any idea in education.
Context-awareness in mobile computing usually applied to discover/allocate cloud services, i need to apply it to discover education services in higher education
Implementations of iBeacons are sprouting up in numerous parts of the world to provide more options and opportunities for mobile application developers. The goal is to extend the features and functionality of mobile devices by providing additional contextual information. Furthermore, iBeacons may be the answer to overcome the limitations of course-grained location awareness (GPS is notoriously poor at location accuracy for indoor contexts). iBeacons use BLE (Bluetooth Low Energy) to transmit information from the beacon to another device (e.g., smartphone). The information transmitted can include motion, temperature, location, etc. leaving the mobile app developer to explore a new world of contextually aware scenarios. For example, please see the following videos for examples:
For showing the performance of resource discovery algorithm, we should simulate it in mobile grid computing by a simulation tool.
We work on cross platform mobile development. We need to compare our work to others. What are the available programs (open source or evaluation version) of cross platform mobile development? Is there any metrics that can be used for comparison other than percentage of accepted lines of code?
I am working on HMIPv6 and want to modify it by some means. I am using Omnet++ as a simulator. Can someone please share the existing code for hmipv6 in oment++ so that I can modify that.
Thanks in advance
ARM processors are used in handheld devices, thus, requiring energy efficient operation. Intel, on the other hand, is dominant in server market for high performance application and is not quite energy efficient. A 1Ghz core of ARM and Intel have quite different power ratings. What is the main difference in the ARM architectures that makes it energy efficient with respect to Intel?
MARE is a programming model and a run-me system that provides simple yet powerful abstractions for parallel, power-‐efficient software
– Simple C++ API allows developers to express concurrency
– User-‐level library that runs on any Android device, and on Linux, Mac OS X, and Windows platforms
These days VAS are playing important roles in mobile networks, so without their security nobody can rely on them. In these instances cryptography plays an important role in securing these issues. I want to know the best way to apply cryptography VAS. Also any references would be appreciated.
I am working in field of MIPv6 and working with some new model. Now I need to learn main quality parameters from you people. I want to design my model and also want to take care of these parameters to make this model with good quality.
The research and growth in mobile, ubiquitous and pervasive computing is occurring at an unprecedented rate. With the emergence of commodity wearable computers such as Google Glass, Recon Jet, etc., and with VLSI and SSD memory apparently exceeding Moore's predictions, where does this leave us by 2020? What will contextually-aware apps do? Will the synergy between ubiquitous computing, machine learning, adaptive systems and HCI reach a singularity where apps that actually pass the Turing Test will be commonplace? What do you think?
Many smartphone manufacturers are bringing smart watches to the market in the coming months/years. There are currently many rumours and predictions that specify the inclusion of biosensors of varying capability in these products. I'd be interested to know your personal thoughts, predictions and ideas in the emerging field of smart watches and wearable biomedical sensors (including smartphones and other non-watch products).
For a mobile system lab I'm looking for an indoor positioning system on a non-optical base (should be able to spot "hidden" objects) with a resolution of about 0.5 - 5 cm. Can anybody recommend a good one?
There are various and obvious ways like bluetooth and wifi sharing and bump technology, but I would like to know about the other interesting ones.
I'm looking for algorithms with four main Location update strategies in Mobile Computing i.e. (1) Time Based (2) Distance Based (3) Movement Based and (4) Profile Based. I also want to know hot to simulate the above strategies.
I need to have an idea about recent researches on mobile interfaces and their adaptability according to context of use.
AI applications can work very well in smart phones as they have good portable multimedia support and have GPS and other features.