Science method

Mobile Computing - Science method

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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
Best wishes
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Technology by E and I transaction
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meaning with e-environment all electronic device such as mobile , computer m communication .......
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Yes, help me..
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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).
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Himadri Nath Saha, it seems to be a fascinating motivation scenario. The investments and the continuous growth of streaming games have imposed new requirements of response time (i.e., ultra-low latency). I am looking for DSP systems where latency-sensitive applications can be easily deployed on geo-distributed constrained resources avoiding creating a multi-tier of components.
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I need Some topics regrading the research for mobile computing with artificial intelligence for my research thesis?
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intelligent agent for service delivery in mobile cloud computing
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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:
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Fateh Boutekouk
Thanks for your answer, I think quite in this direction. It is a good way to get balances in your doing, consciousness and your feeling with nature - apart from use to oecologic principle for cultivation of vegetables, fruits in a certain district.
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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?
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Good question. Remember, 4IR is about digitised dynamical systems. That is, things and people interconnected, digitised and fast-moving. So, the education system must emphasize analytics and appreciate sociology. Call it interdisciplinarity.
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Many researchers suggested that i need at least 7000 positive samples and more than that for negative samples. Any recommendation? 
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absolutely you need thousands but for positive images yoy can generate them if you want o detect just one shape object using opencv_createsamples
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"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."
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as a part of circular economy such transformation brings smaller, greener, flexible autonomous vehicles that impact transportation in smart cities
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Dear research colleagues,
Among FPGAs/Raspberry pai/DSP Processors, etc. which device best suits for implementing Digital Image Processing Algorithms?
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I think MATLAB 2018 gives a nice interface for Raspberry pai. So this looks quite easy on Raspberry pai than other platforms.
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Mention some features of Android Pi
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Thank you Prof.Amina Bouraoui
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Hi all,
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.
Regards
Chetan Vashistth
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Any FMIPv6 omnet++/inet source code example please? I just wanna test a project I am working on.
Regards,
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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 -
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Hi Andrea. There is a paper that compares Polar H7, PPG (from phone-cameras) and ECG. Results showed that the technical error of estimate (TEE) was acceptable for PPG and Polar H7 once compared with the gold standard (ECG).
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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
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Peter and Martin you are absolutely correct in your definition.  Thanks,
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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.
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First, the communications overhead from a distributed algorithm that needs several iterations to converge to a solution, typically makes it impractical for a direct application of the algorithm.
Second, a distributed algorithm with built-in fairness considerations will typically be vulnerable to malicious nodes that misbehave. 
Third, the interactions with transport layer protocols such as TCP (which have different fairness mechanisms) will make it difficult to obtain a balanced solution for most situations.
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How to design wearable antenna in HFSS for telemedicine applications. Can you provide me some guideline/suggestion on how to do this??
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go for literature and try to design them in CST or HFSS.. it is best way to start your work
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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?    
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Thank you all for help. I'm looking for a way to evaluate my proposal fog computing architecture in term of latency minimization ( I have found one paper that modeling the data flow in the network in four phases:
Data Generation, BSN Transmission, Data Aggregation, and WiFi Transmission
So : 
fog transmission time = Data Generation + BSN transmission. 
while using the cloud, the transmission time = Data Generation+ BSN tranissmission +Data Aggregation +Wifi transmission. 
I need to calculate these four phases based on the given equations in this paper. for example to calculate BSN transmission = [ Lp/rm*1/(prm)^2+Lm/rm*(prm) ]. where the input of this equation as follow:
Lp : indicate the length of a polling message. 
rm : represent the data rate in BSN.
Lm : denote the length of a BSN data packet.
prm: denote the packet delivery ratio of data transmission between all the motes and the aggregator in both directions.
I'm wondering how I can find these values (to be used as input to calculate the equation).
Please help if you know how! or you may guide me to another simple way to evaluate the latency in fog environment. 
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IoT simulation in networked manufacturing for ubiquitous approch
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Hello,
Thinskpseak (https://thingspeak.com/) of MATLAB is a very suitable tool for IoT experimentation. Devices such as Arduino, XBee etc. can be easily connected. You can run Thinkspeak in localhost (https://github.com/iobridge/thingspeak) and can be integrated with MATLAB for analytics.
Some blogs-
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How Xmulator simulator for Network on chip works?
I need a simulator of NoC in mapping applications can you suggest me  one Also I found Xmulator simulator how it works? where can I download it?
any help needed.
may you help me ?
Regards.
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You can use gem5, combined with Xmulator.
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 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.
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I have a definition according to ITU-T in
IoT –  Internet of Things (Page 4)
Best regards
Anatol Badach
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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.
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dear 
if you simulate the VM in cloudsim , please share your code with us
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What is “Polyglot Persistence” in NoSQL?
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Hello,
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?
regards
hesham
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It would matter a lot when your technology stack is proliferating into new spaces where either/both space and time are constraints. I would like to bring to this discussion a major avenue of future, a potential market, and a topic of research interest - IoT (Internet Of Things). With almost every device that is capable of connecting to the network, one cannot expect every device around us to have enough compute and storage power right from day-1 for their code and execution. Code optimisation is crucial here.
Besides, ignoring code optimisation could never be assumed would have an upper bound on the extent of ignorance. Even a server with multiprocessing compute power and peta bytes of storage capacity cannot sustain a code which is not optimised in time and space over a long run. So, whatever be the platform on which your software is running, code optimisation always matters, just that we see immediate effects of it on low-end devices, and see it after few years on high-end ones.
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proposition of new QoS/QoE Correlation Model for Video Streaming in VANET
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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.
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Hi Joel.
Thank you for your comment.
I am aware of that there exist several types of low-cost GNSS receivers and that pricing is less and less of an issue. If you look into my recent GPS Solutions article however I do not focus on "cost" comparisons to existing receivers on the market. But I focus rather just on the quality of low-cost single-frequency receivers (code/phase precision estimates), it happens here to be ublox receivers, and the multipath suppression abilities when using two different types of antennas (low- and "medium"-cost). I also showed the importance of antennas briefly in another article that I worked on in early 2015 and submitted to Journal of Geodesy. If the "trend" of low-cost receivers and antennas was already out there by then, I don't know? The "high-cost" terminology for dual-frequency receivers is only used as a "reference benchmark" to illustrate to the readers where we were "before" with only the GPS constellation in orbit.
It is, at least in my mind, quiet astonishing to see that the current low-cost single-frequency receivers can be shown to have the same magnitude of code and phase precision as "traditional" high-cost dual-frequency GPS receivers as long as multipath is surpressed (by e.g. the antenna). This leads then to competitive ambiguity-resolution performance and positioning precisions as long as the number of satellites in the multi-GNSS model (almost) doubles the number of GPS satellites and the baselines are relatively "short". I think this and the cost give a valuable insight into how future GNSS network developments can possibly be made (densified?), and I've been happy to see that manufacturers are also starting to focus on it.
/Robert
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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.
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Simulation is the only way to convince community showing the results
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There are many antiviruses that used to protects our computers and mobiles, but there are some problems face the users of these program. so I need to collect these problems from the users' point of view.
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 There are some effects such as slow down process and restricts many of the process
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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
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With the advancement of IPv6 IOT will be the near future?
Agreed with the above statement.  Because IPv6 address space is 128-bits (2128) in size, containing 340,282,366,920,938,463,463,374,607,431,768,211,456 IPv6 addresses.  This is significant increase from IPv4 which only contains 4,294,967,296 or 4.3 billion IPv4 addresses (IPv6 is 7.9×1028 times as many as IPv4 addresses).
According to Gartner, only 6.4 billion connected "Things" of IoT will be used in 2016 whereby there is still plenty of IPv6 addresses to be used up for IoT purpose.
Yes, there are many IoT training offered by academic institutions as well as software & hardware products companies.  E.g., you can refer to the following YouTube link:
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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.
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In general spectrum sensing is based on Eb/No (Signal to Noise ratio) . so you choose any communication model (Rayleigh, Rician, AWGN etc.,) and utilise the concept of Probability of error and Signal to Noise ratio for your work
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Mobile OS
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There are many ways to extract apk file from your mobile, but the easiest way is the following:
Step 1: Install ES File Explorer App
Step 2: Open ES File Explorer App and goto Library -> Apps
Step 3: Select the app for which you want the apk and click on Backup (you will see many options after selecting an app) option.
Step 4: Get your apk file from sdcard/backup/apps folder.
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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?
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Most of the MOOC application replied on the stable internet access, it was designed to retrieve, interact and digest in that way. I wonder if we consider the infrastructure limitation, this may closer to the traditional e-learning research with a medium that people can bring home and launch standalone.
This idea sounds a little bit old fashion, but it may provide an insight to re-invent the MOOC for internet limited region, or even more, a more localize style MOOC, when I read this news: https://www.theguardian.com/world/2014/dec/23/cuba-offline-internet-weekly-packet-external-hard-drives
This is the most vitality news to see how people interact with the information technology, in their own way. Sorry, not provide too many useful research resources, hope this helps to gain you some new ideas. :)
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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 ?
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This lancing business will bring in more productivity at lower cost; with energy saving to the country and resource (time & money) savings to the employee. In the hind sight, many of the work would become de-skilled as operational and "lower cost' contracts will be substituted or hired.
Socially, Rich will prosper by outsourcing projects, poor will be happy working and earning at home. Trend projection will be a ramp for the work provider while the growth to poor employees will be horizontal
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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.
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I agree with Andrii to see VR as another interface. In my opinion, despite the hardware costs, the main challenge is how to deal with almost-perfect "immersiveness" of VR-systems.
I don't think VR is able to mimic natural environments perfectly some time soon. In the meantime, there is the posibility to get stuck in some kind of uncanny valley of interaction. VR's killer-app won't be "reality", the user always has to adapt to not-quite-reality, to the benefit of VRs advantages. I think the challenge is, to develop a common set of techniques to communicate differences to reality or VR-specific rules in VR without disturbing the users interaction.
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how I could do justification in the number of components in my Mobile user interface compare with others. 
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The analysis of the interactive relations among interface elements using a structuralized method can help user interface designers to satisfy the different requirements of design and improve design efficiency. This study develops a three-stage structured user interface design approach for complex information systems consisting of multiple components. First, the Quality Function Development (QFD) approach is used to confirm the user's design demand and its mapping components. Next, the Interpretive Structural Model (ISM) technique is adopted to construct a clear model of a hierarchical structure. Finally, the Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) approach is employed to analyze the effect and dependence among the overall design components, and to consider the relationship network graph of distribution of components in the system.
This is my research article, I hope  to help you.
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Are there any guidelines or recommendations for development of a smart phone based medical app ?
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I am not very much interested in programming So cant help you 
Sorry dear
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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.
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Thank you....Mahaboobeh
i came across late for this dataset..but its on the same track...
I will really nice, if you can share the implementation work of it....
I am following weka and prom.....is there anything else which is more helpful to this research....
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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?
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The question is rarther whether mobile grids were actually alive at some point. The reviewers raise some crucial issues, and it the job of your research paper to convince then otherwise. One way doing that is to perform experiments with such a system on a meaningful scale and show that the issues are actually not that problematic.
If this doesn't work out then the reviewers are actually right, and the current solution will be hard to publish. But instead of throwing everything away you can consider a different type of application using the same solution you have developed now. Just try to remove heavy computations with something more mobile-friendly.
Finally, if nothing comes to mind on how to relabel your results you should consider moving on and scrapping the project. Like they say: when you discover that you are riding a dead horse, the best strategy is to dismount. You can still use the experience from this project to get better results in the future.
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What is the scientific facts behind that?
Also that how to represent CDMA, 3G, 4G and 5G.
How to represent Satellite radio communication?
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Hexagonal cell shape is perfect in cellular architecture because it cover an entire area without overlapping.
Satellite radios are most commonly used by consumers in automobiles as it offers better sound quality and more station programming choices over traditional AM and FM radio.Consumers typically pay for Satellite radio programming on a monthly subscription basis.
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Someone knows maybe a white paper about rcs technology?
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Thank you, Michael :-)
And sorry for my late answer
Die gsma hab ich in meinen Recherchen bisher einfach übersehen. :-(
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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)?
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Dear Frithiof
Look here:
You have already a good answer, but I believe that its and interesting whitepaper the one in my link.
Good luck in your research 
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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
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This landscape of architecture in IOT from device to application.
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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?
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That would depend, as you have several types of cross-platform frameworks (tools).
A framework like Phonegap will make apps that render within a WebView. There will be performance issues and limitations when using WebViews, but it depends on your use (case). If you want to create hybrid apps (WebView-based), check out Ionic Framework, leveraging Cordova and Angular.
Another approach to cross-platform, is React Native (or NativeScript, Tabris.js, etc.), where you still write JavaScript for (business) logic, but the user interface is actually native. So it doesn't render to a WebView, but you get actual native performance. Perhaps you should check it out as well.
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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? :)
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Depending on what level of description that you want, I think http://www-bcf.usc.edu/~gareth/ISL/ provides an excellent introduction to LOOCV (and other CV) for non-statisticians. And it is freely available to download from that url.
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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.
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sorry I do not have the expertise to answer this question.
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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
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Not so easy to answer. However, one idea - if I understood you right - would be:
based on your GPS environment, filter wikipedia using the GPS and the category mechanism in wikipedia to select whatever you want in your environment.
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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:
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 Ed, I think that you have an interesting question here.  There are numerous indoor activities that could benefit from more fine-grained position awareness (trade shows, conferences, schools, etc.) and I think that it is just a matter of time before we see more and more iBeacons around.  The question that I have about this is the logistics of maintaining the infrastructure.  Any kind of sensor needs power and even with the best battery life that we currently have there is a fairly short time limit for the utility of the beacon.  If we start "throwing" lots of these into the environment what will the near future look like when the batteries start to fail?  I see some work on the use of these sensors and beacons but have not seen much on the long term prospects for the technology - IMHO this will be a big issue for Internet of Things.
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I need information helping me in how to filter the context-awareness in Mobile computing using Ontology web language
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In my opinion you would like to model context-awareness as top-level concept in a very generic way, and to specialize that for the specific applications that you take into consideration. You should definitely have a look at the work of Dockhorn Costa [1], because she has presented a conceptual modelling approach that is more fundamental than Dey's type specific bound definitions of context [2].
Success with your research!
       Paul
REFS
  1. P. Dockhorn Costa, G. Guizzardi, J. P. A. A. Almeida, L. F. Pires, and M. van Sinderen, “Situations in Conceptual Modeling of Context”, 10th IEEE Int Ent Dist Obj Comp Conf WS (EDOCW'06), 2006.
  2. A. K. Dey and G. D. Abowd, “Towards a better understanding of context and context-awareness”, in Proc CHI 2000 workshop on the what, who, where, when, and how of context-awareness, The Hague, Netherlands, 2000, vol. 4.
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 I want to do my research  work in mobile computing area. 
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Hi Ashish,
Additional literature for your perusal.  All the best.
1) Architecture Approach for Mobile Service Security.
By: Younky Chung. International Journal of Software Engineering & Its Applications. 2014, Vol. 8 Issue 5, p43-52. 10p. 3 Color Photographs, 10 Diagrams. DOI: 10.14257/ijseia.2014.8.5.05.
2) Security Issues and Challenges of Mobile Cloud Computing.
By: Shahzad, Abid; Hussain, Mureed. International Journal of Grid & Distributed Computing. Dec2013, Vol. 6 Issue 6, p37-50. 14p. 1 Diagram. DOI: 10.14257/ijgdc.2013.6.6.04.
3) MOBILE SECURITY: DESIGNING A NEW FRAMEWORK LIMITING MALWARE SPREAD IN THE MOBILE CLOUD COMPUTING.
By: GHALLALI, MOHAMED; EL MIR, ABIR; EL OUAHIDI, BOUABID; BOUNABAT, BOUCHAIB; EL HAMI, NORELISLAM; ELMIR, BADR. Journal of Theoretical & Applied Information Technology. 11/30/2013, Vol. 57 Issue 3, p354-366. 13p.
4) Mobile Trusted Computing.
By: Asokan, N.; Ekberg, Jan-Erik; Kostiainen, Kari; Rajan, Anand; Rozas, Carlos; Sadeghi, Ahmad-Reza; Schulz, Steffen; Wachsmann, Christian. Proceedings of the IEEE. Aug2014, Vol. 102 Issue 8, p1189-1206. 18p. DOI: 10.1109/JPROC.2014.2332007.
5) Enhanced dynamic credential generation scheme for protection of user identity in mobile-cloud computing.
By: Khan, Abdul Nasir; Mat Kiah, M. L.; Madani, Sajjad A.; Khan, Atta ur Rehman; Ali, Mazhar. Journal of Supercomputing. Dec2013, Vol. 66 Issue 3, p1687-1706. 20p. DOI: 10.1007/s11227-013-0967-y.
6) The burden of proof and the optimal security investment of firms in ubiquitous computing.
By: Chun, Se-Hak. Personal & Ubiquitous Computing. Jun2013, Vol. 17 Issue 5, p965-969. 5p. DOI: 10.1007/s00779-012-0532-3.
Regards,
Fung
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For showing the performance of resource discovery algorithm, we should simulate it in mobile grid computing by a simulation tool.
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Mobile grid computing can be categorized as a peer to peer computing, any peer to peer simulation tools can be used to simulate it. One of the simulation tools example is PeerFactSim.KOM. 
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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?
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I used Mosync "http://www.mosync.com" for building couple of applications and you can simply use JQuery mobile within Mosync to create whatever applicaitons you would like to create. You can use any webservice and call it with ajax from your JQMobile pages to interact with your server. So all what you need to do is:
1. Learn JQMobile
2. Learn Ajax calls
3. Have a web service that controls and interacts with your database and code. (I personally use web2py framework as a server and write my controllers with python).
4. Create a hybrid application or an HTML5 application inside mosync and start adding JQMobile pages inside it and call your web services using ajax.
5. Build to any platform.
6. Test your project either on the web, phone emulator or connect your phone to your computer and test it.
Let me know if you need any more information.
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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
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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? 
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ARM processor are often powered by small battery when being used extensively in consumer electronics, including PDAs, tablets, mobile phones, digital media and music players, handheld game consoles, calculators and computer peripherals such as Hard drives, printers, and routers.
The new ARM cortex are more energy efficient than new Intel Atom processor But only in terms of GHz/ W), but it is only a simple 32 bit RISC, whereas Intel has a powerful 64 bit CISC architecture. 
Intel x86 processors can deliver up to 3.6 GHz while consuming up to 130 W, or at the low end 1.8 GHz at 40 W. The ARM line of chips has been reported to deliver 1 GHz at 700 mW [320] (down by x50 in terms of GHz/W) and can reach up to 2 GHz; while still consuming less than a watt (down by x 75 in terms of GHz/W), So thr power savings seem to be substantial.
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 It seems most of proposal in this area is ad-hoc, so neither practical nor scalable. 
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Hi Jong Hoon,
well, that's a tricky topic. 
As Bhaskar already pointed out, some people do even think that it doesn't make any sense to provide Cloud Computing service on mobile devices. I strongly disagree with this, BUT i believe that the perspective for Cloud Computing services on mobile devices needs to be a different one compared to usual Cloud Computing services. If you are interested in this, please have a look at the following publication:
M. Jansen. About the Necessity to Change the Perspective for Mobile Web Services. In: Proceedings of the 15th IEEE International Symposium on Web Systems Evolution, 2013
Furthermore, i usually understand Web Services as one of the core enabling technologies for Cloud Computing enrivonments. Therefore, it might also be interesting for you to have a look at a publication we have published about an environment that allows to deploy standard Web Services to mobile devices:
M. Jansen. About an Architecture That Allows to Become a Mobile Web Service Provider. In: Proceedings of the 7th International Conference on Internet and Web Applications and Services
And about using it for mobile Cloud Computing:
M. Jansen. About Using Mobile Devices as Cloud Service Providers. In: Proceedings of the 2nd International Conference on Cloud Computing and Services Science.
Furthermore, some colleagues of mine already integrated this kind of technology into a mobile Cloud Computing environment:
J. Guillen,  J. Miranda, J. Berrocal, J. Garcia-Alonso, J.M. Murillo, C. Canal. 
People as a Service: A Mobile-centric Model for Providing Collective Sociological Profiles. In: Software, IEEE (Volume:31 , Issue: 2 )
M. Jansen, J. Miranda, J.M. Murillo. Implementation of Asynchronous Mobile Web Services. In: Proceedings of the 4th International Conference on Cloud Computing and Services Science, 2014
So, if you are interested in this topic, i would appreciate getting into further contact with you about it.
Cheers,
  Marc
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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
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Hi there,
I'm working on a similar library. Mine is called HPX. It provides a C++11/14 compliant interface for task based programming (async, future etc.). We extended the standard in a straight forward manner to also support distributed memory parallelism through the same interfaces. In addition we added some more API functions to make everything slightly more composable. Check it out at http://github.com/STE||AR-GROUP/hpx
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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.
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In cryptography, a one-time pad is an encryption technique that cannot be craked if used correctly. In this technique, a message is paired with random, secret key or pad. Then, each bit or character of the message is encrypted by combining it with the corresponding bit or character from the pad using modular addition. If the key is truly random, and at least as long as the plaintext, and never reused in whole or in part, and kept completely secret, then the resulting encrypted message will be impossible to decrypt or break. It has also been proven that any cipher with the perfect secrecy property must use keys with effectively the same requirements as one-time pad keys. However, practical problems have prevented one-time pads from being widely used. Therefore I claimed that the best way to apply cryptography to value added in mobile networks is the one-time pad encryption technique.
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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.
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This is very interesting question and QoS in IPV6 is based on following parameters.
– Bandwidth
– Delay
– Inter-packet Delay Variation – Jitter
– Packet loss.
- Latency.
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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?
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The IOT, big data, and ubiquitous computing will I predict introduce untold complexity, as humans respond to immersion in situations of actual or possible ubiquitous monitoring with real time data analysis across real and cyber worlds. One vision is that humans may attempt to adapt and learn responses and controls, perhaps even focusing on engineering bio and profiling outputs readable by sensors. There may be an increased movement to switch off or seek invisibility as privacy becomes a more desirable and less accessible attribute. Data destruction or disruption may be an optional feature. Generic 'types' of identities based on similar groups of people may be preferred by users rather than personalization. Technologies that could allow humans to negotiate and have visibility to control and monitor their own attention, interactions, preferences and predictive patterns in the sea of technologies and networks will be in demand I think. Context aware apps may be device independent, with users flipping identities for different aspects of interactions in different situations. New challenges will be for trustworthy reliable technologies adapt at negotiating control and autonomy between individuals, communities and environments. Energy harvesting will be huge.
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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).
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Hanno raised very important issue of data safety, neuroethics, electronic health records (EHRs) security and ability to be out of the network. When we take into consideration cloud computing and distributed processing - these threats are even larger. But it seems to complicated to solve them here, I'm afraid.
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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?
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Have you thought about some IEEE 802.15.4 devices which are doted with a Time of Flight (ToF) ranging engine such as JN51xx family form NXP (http://www.nxp.com/techzones/wireless-connectivity/jn51xx/jn516x.html). Also you can fuse the ToF measurements with the RSSI and LQI Provided by IEEE 802.15.4 to get better accuracy.
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Secure Handshaking of Value added services in mobile networks.
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You ever tried this kind of topic. I mean have you applied such kind of algorithms or not?
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By 2020 5G will be Launched everywhere. I have seen some architectures of it. What will be the speed of 5G?
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Hi, according to samsung tests of their 5G tech, it will go up to 1 Gbps for about 2 km distance.
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What is the meaning of Cloudlet in Cloudsim? Is it similar to an incoming job from user?
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The tasks or jobs in CloudSim are called Cloudlets.
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Containing coding with explanation, and also about new protocols.
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Tutorials and examples:
ps. NS2 shouldn't be tagged as "Mobile Computing" - it can be used to model mobile protocols but it has nothing to do with Mobile Computing as such.
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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.
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All of the aforementioned technologies will do the job. However, you must consider the following points before selecting any technology
1. Required Transmission Range
2. Required Bandwidth
3. Energy Consumption
4. Availability (bump technology is still new)
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Looking to expand my research portfolio.
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We still lack convincing design patterns for large web applications, ones with of the order of 100 pages and post actions.
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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.
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Dozen of localization techniques are available. You can read about Time-Of-Arrival (TOA) or Time-Different-Of-Arrival (TDOA) techniques which measures the time of a signal takes to arrive at some number of sensors to estimate distance from mobile receivers. You can also read about using an Received Signal Strength (RSS) of a message broadcast from a known location of mobile receivers to compute the estimates position by using lateration, angulation, cellular proximity, dead-reckoning and etc. Another use of RSS is profiling which construct a map of RSS during training phase. Sensors then estimate their position by matching observed RSS values with the training data.
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I need to have an idea about recent researches on mobile interfaces and their adaptability according to context of use.
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It dependes what you mean by "context of use," there are several papers that look at accruately predicting the context a mobile device is currently in. This year at CHI there was a paper where they tracked where phones were kept (pockets, tables, purses) using interviews and phone data. They were able to accurately determine the context of phones using existing sensors.
Phoneprioception: Enabling Mobile Phones to Infer Where They Are Kept
J. Wiese, T. Saponas, A. Brush
Is this what you are looking for in terms of context?
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AI applications can work very well in smart phones as they have good portable multimedia support and have GPS and other features.
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Rohitash ,
The current trend is to put the computing in cloud based systems as you have said, but in my opinion, we are then not truly leveraging mobility to its maximum extent. While I do not see the cloud based system being replaced any time soon, I would think that we need to move towards more efficient front end algorithms and truly take advantage of the distributed nature of current device to advance mobile computing.
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Which is going to be a game changer in future research?
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I think Cloud computing and big data are the future research when it comes to distributed computing. Size of data are becoming increasingly bigger and bigger, also storage facilities are becoming a huge concern. This is where Cloud comes in, to help for easy storage and accessibility. Although both research areas are making waves at the moment and will surley be around for the next - say 5 years to come.
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Thanks for the help.
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Hi Ahmed, can you be more explicit about what you mean by mobile computing ? architectural point of view ? network point of view ? programming paradigm ? ...