iosr-jmca   Volume-3 ~ Issue-3 ~ May – June 2016

ABSTRACT: Artificial neural networks (ANNs) are non-linear mapping structures based on the function of the human brain. ANNs are known to be universal function approximators and are capable of exploiting nonlinear relationships between variables. ANNs can identify and learn correlated patterns between input data sets and corresponding target values. Crop production forecasting is a very important task for researchers in agriculture........

Keywords: Artificial neural network, Back propagation, MAE, Nonlinear regression, RMSE

[1]. H. Altun, A. Bilgil, and B.C. Fidan, Treatment of multidimensional data to enhance neural network estimators in regression problems, Expert Systems with Applications, 32(2), 2007, 599–605.
[2]. Y. Bard, Nonlinear Parameter Estimation, (Academic Press: New York, 1974).
[3]. W. J. Bullied, R.C. Van Acker and P.R. Bullock, Hydrothermal modelling of seedling emergence timing across topography and soil depth. Agronomy Journal, 104, 2012,pp.423–436.
[4]. R. Cao, M. Francisco-Fernández, A. Anand, F. Bastida and J.L.González-Andújar, Computing statistical indices for hydrothermal times using weed emergence data. Journal of Agricultural Science, Cambridge, 149, 2011, pp.701–712.

ABSTRACT: Now-a-days smartphones with embedded sensor is a component of pervasive applications. Smartphone consists powerful sensors like accelerometer, orientation sensor, and proximity sensor. Mobile application based on sensor has grown rapidly over a decade. Sherlock, which is micro-environment is used for providing platform. By referring Sherlock platform, system is designing a micro-environment. Proposed system achieves energy efficiency for smartphone using sensor.......

Keywords: Context awareness, GPS (Global Position system), Microenvironment

[1]. Amrutkar Rajashri, Ingle Sushil, Sutar Vaibhav, Akshay Ugale, and Kinkar Vandana "A Survey Paper on Micro-environment Sensing Platform for Smartphone", on I2IT conference2016.
[2]. Zheng Yang, Member, IEEE, Longfei Shangguan, Student Member, IEEE, Chenshu Wu, Student Member, IEEE, and Yunhao Liu, Senior Member, IEEE "Sherlock: Micro-environment Sensing for Smartphones IEEE Transactions on Parallel and Distributed Systems, in 2013.
[3]. J. Dai, X. Bai, Z. Yang, Z. Shen, D. Xuan. PerFallD: A Pervasive Fall Detection System Using Mobile Phones. In PervasiveHealth'10, 2010.
[4]. P. Mohan, V. Padmanabhan, and R. Ramjee. Rich Monitoring of Roads and Traffic Using Mobile Smartphones. In SenSys'08, 2008.

ABSTRACT: Many universities have started to assess sustainability, and there are many tools have been developed to assess the sustainability. For universities at an early stage of sustainability implementation, choosing a tool that fits their specific context is an important step in their assessment process. Therefore, in this study, it is found Unit‐based Sustainability Assessment Tool (USAT) to assess the sustainability in Cihan University........

Keywords: Sustainability, USAT, Cihan Unvirsity, HEIs .

[1]. Cortese, A., 2003. The critical role of higher education in creating a sustainable future. Plan. High. Educ., 15e22.
[2]. Lukman, R., Glavic, P., 2007. What are the key elements of a sustainable university? Clean. Technol. Environ. Policy 9, 104e114.
[3]. Gomez, F.U, Navarrete, C. S., Lioi, S. R., & Marzuca, V. I. , 2015, Adaptable model for assessing sustainability in higher education. Journal of Cleaner Production.
[4]. Shriberg, M., 2002 , Institutional assessment tools for sustainability in higher education: strengths, weaknesses, and implications for practice and theory. Int. J. Sustain. High. Educ. 3 (3).
[5]. Kamal, A.M., &Asmuss, M. , 2012, Benchmarking tools for assessing and tracking sustainability in higher educational institutions. International Journal of Sustainability in Higher Education, Vol. 14 Iss 4 pp. 449 – 465.

ABSTRACT: Li-Fi is the term nowadays used to label the fast and cheap wireless-communication system and is the proposed optical version of Wi-Fi. Li-Fi (Light-Fidelity) proposed by the German physicist Harald Haas, provides transmission of data through illumination by sending data through an LED light bulb that varies in intensity faster than the human eye can follow. Li-Fi is a term often used to describe Visible Light Communications technology applied to high speed wireless communications........

Keywords: Light Fidelity (Li-Fi), Wireless Fidelity (Wi-Fi), Visible Light Communication (VLC), Light Emitting Diode (LED), Electromagnetic.

[1]. Jyoti Rani, PrernaChauhan, RitikaTripathi, Li-Fi (Light Fidelity)-The future technology in Wireless communication‖, International Journal of Applied Engineering Research, ISSN 0973-4562 Vol.7 No.11 (2012).
[2]. Frank Deicke, W. K. (2012). Li-Fi: A New Paradigm in Wireless Communication. Retrieved from Li-Fi Consortium: http://www.lificonsortium.org/press3.html
[3]. Janssen, C. (2013). Li-fi. Retrieved from Techopedi: http://www.techopedia.com/definition/29638/lifi-led
[4]. Roux, C. (2013). LED to replace Wi-Fi = Li-Fi. Retrieved from Hardware Computing:
[5]. https://hardwarecomputing.wordpress.com/2013/02/04/led-to-replace-wifi-lifi/

ABSTRACT: Health services needs nowadays are rising and consumers are increasingly aware of the importance to know their health status quickly and effectively. However, the mobile health applications acceptance is still low even its development is growing due to the use of information technology among health providers and consumers. This indicates that the mobile health application less successful in persuading consumers for better health habits. The design of information in this mobile application should achieve the objective of improving consumer health habits. This paper reviews the findings of previous studies related to the design strategies used to exploit persuasive technology for behavior change. .......

Keywords: Persuasive technology, captology, behavior change, mHealth, HCI

[1]. Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P.& Haines, A, The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis, PLoS Med,10(1), 2013,e1001363.

[2]. Adibi, S. (Ed.), Mobile Health: A Technology Road Map (Vol. 5),(Springer, 2015).

[3]. Boyer, E. W., Fletcher, R., Fay, R. J., Smelson, D., Ziedonis, D., & Picard, R. W, Preliminary efforts directed toward the detection of craving of illicit substances: the iHeal project,Journal of Medical Toxicology, 8(1), 2012, 5-9.

[4]. Blum, J., & Magill, E., M-psychiatry: Sensor networks for psychiatric health monitoring,Proceedings of The 9th Annual Postgraduate Symposium The Convergence of Telecommunications, Networking and Broadcasting, Liverpool John Moores University, 2008, pp. 33-37.

[5]. McMillan, B., Hickey, E., Patel, M. G., & Mitchell, C., Quality assessment of a sample of mobile app-based health behavior change interventions using a tool based on the National Institute for Health and Care Excellence behavior change guidance,Patient education and counseling, 2015

ABSTRACT: An android application and web portal for banking system has been developed where the transaction can be made very easily. The system we have developed which is web based having feature of android version application. Android is an operating system for cellular phone which is based on Linux kernel that is at present development by Google. We use this application in bank sector. Normally our most of the bank provides manual registration for creating bank account...............

Keywords: Application, Banking system, Security, Transaction

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[3]. Aron, M. (2007). Kenya: trend-setting M-Pesa goes international. Business Daily.Nairobi.
[4]. Avgerou C. (2007) Information systems in developing countries: a critical research review, London School of Economics and Political Sciences, Innovation Group, Working Papers Series, October 2007.
[5]. Barber, B. (1983). The logic and limits of trust. New Brunswick: Rutgers University Press

ABSTRACT: Network partitioning is a form of network failure. A single connected network topology breaks apart into two or more network topologies separated from each other due to the node mobility. Nodes within each partition are still able to communicate with each other but nodes in other partitions are unreachable. This paper proposes a MCD (Mobility, Congestion and Nodal Degree) model which assigns the weights to all nodes on the basis of mobility, congestion and average nodal degree of the node. Here, the high-weight nodes must maintain connections against those of low-priority nodes................

Keywords: MANET, Network Partition, Partitioning Detection, Partitioning Recovery.

[1]. M.-O. Killijian, R. Cunningham, R. Meier, L. Mazare, V. Cahill, Towards Group Communication for Mobile Participants, Workshop Transactions on Software Engineering, 2001, vol. 27, no.4.
[2]. J. Bacon, K. Moody, J. Bates, R. Hayton, C. Ma, A. McNeil, O. Seidel, M. Spiteri. Generic Support for Distributed Applications. In IEEE Computer. 2000, vol. 33, no. 3.
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[4]. Goyal, D. and Caffery, Jr., J. (2002) "Partitioning avoidance in mobile ad hoc networks using network survivability concepts‟, Proceedings of the International Symposium on Computers and Communications, pp.1530–1546.
[5]. Guo, S. and Yang, O.W.W. (2007) "Energy-aware multicasting in wireless ad hoc networks: a survey and discussion‟, Journal of Computer Communications, Vol. 30, No. 9, pp.2129–2148.

ABSTRACT: Mobile technologies are a usefulplatform for the delivery information and content to the users. Due to easily to develop and so widely distributed in the market, mobile apps are no longer a novelty. However, many of these applications suffer from the usability issues. Basically, usabilityconcern about user experience, satisfaction,andperceiveness. The aim of thispaperis to review the usabality issues in mobile appsforeducation, health, and tourismsectors...............

Keywords: Usability, Interaction Design, User Experience, Mobile Design, Perceive Usability

[1] Hussain, A., & Ferneley, E. (2008). Usability metric for mobile application: a goal question metric (GQM) approach. In iiWAS'2008 - The Tenth International Conference on Information Integration and Web-based Applications Services (pp. 567–570).
[2] Wesson, J. L., Singh, A., & Tonder, B. Van. (2010). Can Adaptive Interfaces Improve the Usability of Mobile Applications? In Human-Computer Interaction (pp. 187–198). Springer.
[3] Inversini, A., & Violi, L. (2013). Tourism Mobile Application Usability: The Case of iTicinp. International Journal of E-Services and Mobile Applications, 5(2), 54–70.
[4] Nayebi, F., Desharnais, J.-M., & Abran, A. (2012). The state of the art of mobile application usability evaluation. 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), (May), 1–4.
[5] Harrison, R., Flood, D., & Duce, D. (2013). Usability of Mobile Applications: Literature Review and Rationale for A New Usability Model. Journal of Interaction Science a Springer-Open Journal, 1(1), 1–16.