i-manager Publications

i-manager's Journal on Mobile Applications and Technologies (JMT)

Current Issue Vol. 11 Issue 1

Most Cited

Volume 2 Issue 1 February - April 2015

Research Paper

Applications of Wearable Technology in Elite Sports

Tom Page*

Senior Lecturer, Electronic Product Design, Loughborough Design School, Loughborough University, UK.

Page, T. (2015). Applications of Wearable Technology in Elite Sports. i-manager’s Journal on Mobile Applications and Technologies, 2(1), 1-15. https://doi.org/10.26634/jmt.2.1.3751

Abstract

Wearable technology and biometrical data analysis have been around for a number of years within the Elite sports sector. In the last decade, significant progress has been made in the professional sports market; to the extent that many of the biometrics used by athletes are now available for consumers. The paper will focus primarily on four topics; the extent to which data from the wearable devices can be of benefit to the coaches and athletes; to what extent wearable devices can optimise training; the extent to which wearable technology could prevent injury; and also take a look at what the future holds for elite level wearable technology. Insights gathered include how the data provided by the wearable devices could benefit the health and well-being of an athlete. The data fed back to the coaches and medical staff could enable early detection of an injury and hence training could be adjusted accordingly. Furthermore, the data enables the athlete to monitor themselves and therefore, benchmark themselves against others and identify areas for improvement.

References

[1]. BBC Sport, (2015). “Saracens wear 'concussion' devices ”. Retrived from http://www.bbc.co.uk/ sport/0/rugby-union/30671380 [Accessed 4 Jan. 2015].

[2]. BBC World News, (2015). “Swiss Solar Powered Plane”. Retrived from https://archive.org/details/ BBCAMERICA_ 20150309_140000_BBC_World_News#start/180/end/240 [Accessed 20 Mar. 2015].

[3]. Catapult, (2015). “Munster Rugby”. Retrived from http://www.catapultsports.com/media/2090/case-studybryce- cavanagh.pdf.

[4]. Chalfen, R. (2014). “ Your panopticon or mine?'Incorporating wearable technology's Glass and GoPro into visual social science”. Visual Studies, Vol. 29, No. 3, pp. 299-310.

[5]. Chen, K. and Bassett, D. (2005). “The Technology of Accelerometry-Based Activity Monitors: Current and Future”, Medicine & Science in Sports & Exercise, 37 (Supplement), pp. S490-S500.

[6]. Creasey, S. (2015). “Wearable technology will up the game for sports data analytics”. Computer Weekly.com. Retrived from http://www.computer weekly.com/feature/ Wearable-technology-will-up-the-game-for-sports-dataanalytics .

[7]. Dunne, L. (2004). “The Design of Wearable Technology: Addressing the Human-Device Interface Through Functional Apparel Design”, Master's Thesis.Cornell University.

[8]. Ermes, M., Parkka, J., Mantyjarvi, J. and Korhonen, I. (2008). “Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions”, IEEE Transactions on Information Technology in Biomedicine, Vol.12, No. 1, pp. 20-26.

[9]. FITGuard by Force Impact Technologies, (2015). “FITGuard by Force Impact Technologies”.[online] Retrived from https://www.fitguard.me/ [Accessed 25 Mar. 2015].

[10]. Gastin, P., Mclean, O., Breed, R. and Spittle, M. (2014). “Tackle and impact detection in elite Australian football using wearable microsensor technology ”, Journal of Sports Sciences, Vol. 32, No. 10, pp.947-953.

[11]. Loughborough University (2015). Sports Technology Institute | Lough borough University. Retrived fromhttp://www.lboro.ac.uk/research/sti/ .

[12]. Polar UK, (2015). “Innovations | Polar UK”. Retrived from http://www.polar.com/uk-en/ about_polar/ who_we_are/innovations.

[13]. Reebok, (2015). “Reebok Checklight”. Reebok United States. Retrived from http://www.reebok.com/ us/checklight.

[14]. Salazar, A., Silva, A. and Correia, M. (2010). “An initial experience in wearable monitoring sport systems. Information Technology and Applications in Biomedicine”. Corfu: IEEE, pp.1-4. Retrived from http://ieeexplore.ieee.org /xpl/articleDetails.jsp?tp=& arnumber= 5687625 &url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_ all.jsp%3Farnumber%3D5687625 .

[15]. Statista, (2015). “Wearable device market value 2010-2018|Forecast ”. Retrived from http://www. statista.com/statistics/259372/wearable-device-market value/.

[16]. Swan, M. (2013). “The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery”. Big Data, Vol. 1, No. 2, pp. 85-99.

[17]. Team GB, (2015). Mo Farah - 5000m, 10,000m - Team GB Athlete Profile. Teamgb.com. Retrived from http://www.teamgb.com/athletes/mo-farah.

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Research Paper

Friendbook: A Semantic Based Friend RecommendationSystem

Yashaswini S*

Assistant Professor, Department of Information Science and Engineering, PESIT, Bangalore, India.

Yashaswini, S. (2015). Friendbook: A Semantic Based Friend Recommendation System. i-manager’s Journal on Mobile Applications and Technologies, 2(1), 16-23. https://doi.org/10.26634/jmt.2.1.3752

Abstract

Existing social networking services recommend friends to the users based on their social graphs, which may not be the most appropriate to reflect a user's preferences on a friend selection in their real life. Friendbook is a novel semanticbased friend recommendation system, which recommends friends to the users based on their lifestyles instead of social graphs. By taking advantage of sensor-rich smartphones, Friendbook discovers life styles of users from user-centric sensor data, measures the similarity of lifestyles between users, and recommends friends to the users if their life styles have high similarity. User's daily life is recorded as life activities, from which his/her life styles are extracted and further get stored in the cloud. Similarity metric is used to measure the similarity of life styles between users, and calculate users' impact in terms of life styles. When entering the friend recommendation system, Friendbook returns a list of people with highest recommendation scores to the query user. Finally, Friendbook integrates a feedback mechanism to further improve the recommendation accuracy. The idea is to implement Friendbook on the Android-based smart phones, and evaluate its performance on both small-scale simulations.

References

[1]. Zhibo Wang, Jilong Liao, Qing Cao Hairong Qi, Senior and Zhi Wang, (2014). “Friendbook: A Semantic-based friend recommendation System for Social Networks”, IEEE Transactions on Mobile Computing, Vol. 13, No. 19.

[2]. Sauvik Das, Latoya Green, Beatrice Perez and Michael Murphy, (2010). “Detecting user activity using the Accelerometer on Android Smart phones”.

[3]. Anjum and Ilyas (2013). “Activity recognition using smartphone sensors”, Consumer Communications and Networking Conference(CCNC), IEEE, pp. 914-919.

[4 ]. www.developer.android.com

[5]. www.parse.com

[6]. www.tutorialspoint.com

[7]. http://code.google.com/p/robotium/

[8]. http://www.3pillarglobal.com/insights/mobile-testingautomatedtesting- for-android-with-robotium

[9]. http://www.methodsandtools.com/tools/robotium. php

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Research Paper

Energy Efficient Clustering with Mobile Data Collectionin Wireless Sensor Networks

Kalaivani S* , C.Gomathi, N.Santhiyakumari*

* PG Scholar, Department of Electronics and Communication Engineering, Knowledge Institute of Technology, Salem, India.

Assistant Professor, Department of Electronics and Communication Engineering, Knowledge Institute of Technology, Salem, India

* Head, Department of Electronics and Communication Engineering, Knowledge Institute of Technology, Salem, India.

Kalaivani, S., Gomathi, C., and Santhiyakumari, N. (2015). Energy Efficient Clustering with Mobile Data Collection in Wireless Sensor Networks. i-manager’s Journal on Mobile Applications and Technologies, 2(1), 24-31. https://doi.org/10.26634/jmt.2.1.3753

Abstract

The Wireless Sensor Networks consist of static sensors, which can be deployed in a wide environment for monitoring applications. While transmitting the data from source to static sink, the amount of energy consumption of the sensor node is high. This results in improved lifetime of the network. Some of the WSN architectures have been proposed based on mobile elements such as three-layer framework is for mobile data collection, which includes the sensor layer, cluster head layer, and mobile collector layer (called SenCar layer). This framework employs Distributed Load Balanced Clustering and Dual Data Uploading, it is referred to as LBC-DDU. In the sensor layer, a distributed Load Balanced Clustering (LBC) algorithm is used for sensors to self-organize themselves into clusters. The cluster head layer use inter- Cluster transmission range which is carefully chosen to guarantee the connectivity among the clusters. Multiple cluster heads within a cluster, cooperate with each other to perform energy-saving in the inter-cluster communications. Through this transmissions, cluster head information is send to the SenCar for its moving trajectory planning. This is done by utilizing Multi-User Multiple-Input and Multiple-Output (MU-MIMO) technique. Then the results show each cluster has at most two cluster heads. LBC-DDU achieves over 50% energy saving per node. The 60% energy saving on cluster heads comparing with data collection through multi-hop relay to the static data sink. The 20% shorter data collection time compared to traditional mobile data gathering.

References

[1]. M. Zhao, M. Ma and Y. Yang, (2011). “Efficient data gathering with mobile collectors and space-division multiple access technique in wireless sensor networks,” IEEE Trans. Computers, Vol. 60, No. 3, pp. 400-417.

[2]. Chuan Zhu, Shuai Wu, Guangjie Han, Lei Shu and Hongyi Wu, (2015). "A Tree-Cluster-Based Data-Gathering Algorithm for Industrial WSNs With a Mobile Sink," in Access, IEEE, Vol. 3, pp. 381-396.

[3]. El-Moukaddem, F. Torng and E. Guoliang Xing, (2015). "Maximizing Network Topology Lifetime Using Mobile Node Rotation," in IEEE Transactions on Parallel and Distributed Systems, Vol. 26, No. 7, pp.1958-1970.

[4]. Chiara Petrioli, Michele Nati, Paolo Casari, Michele Zorzi and Stefano Basagni, (2014). “ALBA-R: Load- Balancing Geographic Routing Around Connectivity Holes in Wireless Sensor Networks”, IEEE Transactions on Parallel And Distributed Systems, Vol. 25, No. 3.

[5]. Takaishi. D, Nishiyama. H, Kato. N, and Miura. R, (2014). "Toward Energy Efficient Big Data Gathering in Densely Distributed Sensor Networks”, IEEE Transactions on Emerging Topics in Computing, Vol. 2, No. 3, pp. 388-397.

[6]. Chia-Pang Chen, (2014). ”Efficient Coverage and Connectivity Preservation with Load Balance for Wireless Sensor Networks”, IEEE Sensors Journal.

[7]. Jing (Selena) He, Shouling Ji, Yi Pan and Yingshu. Li, (2014). “Constructing Load-Balanced Data Aggregation Trees in Probabilistic Wireless Sensor Networks”, IEEE Transactions on Parallel and Distributed Systems, pp.1045-9219/14.

[9]. Songtao Guo, Cong Wang and Yuanyuan Yang, (2014). "Joint Mobile Data Gathering and Energy Provisioning in Wireless Rechargeable Sensor Networks", IEEE Transactions on, Mobile Computing, Vol.13, No.12, pp. 2836-2852.

[10]. Haiying Shen, Ze Li, Lei Yu and Chenxi Qiu, (2014). "Efficient Data Collection for Large-Scale Mobile Monitoring Applications”, IEEE Transactions on Parallel and Distributed Systems, Vol. 25, No. 6, pp.1424-1436.

[11]. Zhenjiang Li, Yunhao Liu, Mo Li,Jiliang Wang, and Zhichao Cao, (2014). “Exploiting Ubiquitous Data Collection for Mobile Users in Wireless Sensor Networks” IEEE Transactions On Parallel And Distributed Systems, Vol. 24, No. 2.

[12]. Ming Ma, Yuanyuan Yang and Miao Zhao, (2013). “Tour Planning for Mobile Data-Gathering Mechanisms in Wireless Sensor Networks”, IEEE Transactions On Vehicular Technology, Vol. 62, No. 4.

[13]. Liu Danpu, Zhang Kailin and Ding Jie, (2013). "Energy-efficient transmission scheme for mobile data g a t h e r i n g i n W i r e l e s s S e n s o r N e t w o r k s " , i n Communications, Vol.10, No. 3, pp.114-123.

[14]. Miao Zhao and Yuanyuan Yang, (2012). “Bounded Relay Hop Mobile Data Gathering in Wireless Sensor Networks”, IEEE Transactions on Computers, Vol. 61, No. 2.

[ 1 5 ] . M i a o Z h a o a n d Yu a n y u a n Ya n g , ( 2 0 1 2 ) . “Optimization-Based Distributed Algorithms for Mobile Data Gathering in Wireless Sensor Networks”, IEEE Transactions on Mobile Computing, Vol. 11, No. 10, pp. 1464-1477.

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Research Paper

Android Application for E-Card Transaction Using NFC

A. Saranya* , S.Vishnupriya, S.Sathyapriya, B.Pradeepa, N.Rajganesh

- UG Student, Department of Information Technology, AVC College of Engineering, Nagapattinam, Tamilnadu, India.

Assistant Professor, Department of Information Technology, AVC College of Engineering, Nagapattinam, Tamilnadu, India.

Saranya, A.,Vishnupriya, S., Sathyapriya, S. Pradeepa, B., and N. Rajganesh (2015). Android Application for E-Card Transaction Using NFC. i-manager’s Journal on Mobile Applications and Technologies, 2(1), 32-39. https://doi.org/10.26634/jmt.2.1.3754

Abstract

People continuously try to improve their quality of life with respect to modern trends. Payment method using physical credit card is usual and it is not comfortable to undertake all the time. Modern technology computerizes everything and reduces the usage cost with the maximum user satisfaction. For the sophisticated use of credit card, there is a need to computerize it in our smartphones using Near Field Communication (NFC). The NFC is a new secure short-range wireless connectivity technology, which can play an important role on this kind of issue. It uses a secure element, and hence it stores the data in a secure manner. NFC technology can store multiple virtual credit cards in the secure element, and prevents skimming, and loss of credit card. In this paper, an android application which performs credit card transaction between the NFC enabled devices [Mobile–credit card machine] have been demonstrated. It enable the users to securely store their multiple virtual credit card and allows to perform transaction with NFC enabled POS terminal.

References

[1]. Christopher Eric Kay and Palo Alto, (2015). “System and Method for Conducting a transaction at a financial transaction terminal using a mobile device”. United States Patent Publication, 8972297, No. 3.

[2]. D. Monteiro, Joel J. P. C. Rodrigues and Jaime Lloret, (2012). “A Secure NFC Application for Credit Transfer Among Mobile Phones”. International Conference on Computer, Information and Telecommunication Systems (CITS).

[3]. Emir Husni and Sugeng Purwantoro, (2012). “Shopping Application System With Near Field Communication”. International Conference on System Engineering and Technology (ICSET).

[4]. Frank Morgner, Dominik Oepen, Wolf Muller and Jens-Peter Redlich, (2013). “Mobile smart card reader using NFC-enabled smartphones”. ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.

[5]. Gowri and F.W. Jesudas, (2014). “Conditional privacy preserving security protocol for NFC application”. International Journal of Computer Science and Mobile Computing (IJCSMC), Vol. 3, No. 2, pp. 248 – 254.

[6]. Keith L. Paulsen, (2014). “Method for protecting cardholder data in a mobile device that performs secure payment transactions and which enables the mobile device to function as a securepayment terminal”. United States Patent Application Publication, Pub. No.: US 2014/0195429, No. 10.

[7]. Koby Levy, Bat-Yam and Ran Katz, (2015). “Multiple NFC card applications in multiple execution environment”. Publication US 2012/0178366 A1, No. 10.

[8]. Lishoy Francis, Gerhard Hancke, Keith Mayes and Konstantinos Markantonakis, (2010). “A Security Framework Model with Communication Protocol Translator Interface for Enhancing NFC Transactions”. Conference on Telecommunications (AICT), pp. 452-461.

[9]. M. Fisher, (2013). “Conducting an online payment transaction on NFC enabled mobile communication devices”. United States Patent Application Publication, publication number US8352323 B2.

[10]. M Fisher and Jackson, (2012). “Scheduling and paying for banking transaction using NFC enabled mobile communication device”. United States Patent Application Publication, No. 29.

[11]. Michael Roland, Josef Langer and Josef Scharinger th (2013). “Applying Relay Attacks to Google Wallet”. 5 International Workshop on IEEE, pp. 1-6.

[12]. Marc Pasquet, Joan Reynaud and Christophe Rosenberger, (2008). “Secure Payment With NFC Mobile Phones In The Smart Touch Project”. International Symposium on Collaborative Technologies and System.

[13]. Omkar Ghag and Saket Hegde, (2012). “A Comprehensive Study of Google Wallet as an NFC Application”. International Journal of Computer Applications, Vol. 58, No.16, pp. 0975-8887.

[14]. Poonguzhali P, Prajyot Dhanokar, M.K.Chaithanya, and Mahesh U. Patil, (2014). “Secure Storage of Data on Android Based Devices”, No. 15.

[15]. Roel Verdult and Francois Kooman, (2011). “Practical Attacks on NFC Enabled Cell Phones”. International Workshop on Near Field Communication, pp. 77-82.

[16]. Scott Goldthwaite and William Graylin, (2004). “Mobile device equipped with a contactless smart card” United States Patent Publication ,20040127256 A1, No. 1.

[17]. Subashini Dwivedi, Shraddha Panbude and Rama Rao, (2014). “Secured Green Payments using NFC Device”. International Journal of Advanced Research in Computer Engineering and Technology (IJARCET), Vol. 3, No.11.

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Research Paper

Remote Virtual Assistant Using Whatsapp

Nilesh Hinge* , Sajan M. Talekar, Pooja P. hande, Ashwini S. Thorbole, Shubhangi P. Edake

- UG Student, Department of Information Technology, Savitribai Phule Pune University, Pune, India.

Professor, Department of Information Technology, MMIT, Lohgaon, Pune, India.

Hinge, N.S., Talekar, S.M., Hande, P.P., Thorbole, A.S., and Edake, S.P. (2015). Remote Virtual Assistant Using Whatsapp. i-manager’s Journal on Mobile Applications and Technologies, 2(1), 40-45. https://doi.org/10.26634/jmt.2.1.3755

Abstract

These days in a world of instant services and faster internet, we require everything very fast. In the world of instant messaging, there is a service called WhatsApp, which is the most popular messaging app. Using WhatsApp API, the authors are trying to develop a Remote virtual assistant (Virtual robot) which will provide various services to WhatsApp users. A Remote Virtual Assistant, can fastly access multiple services such as finding Railway PNR Status, Checking Result of Students, Checking rating for particular movie, sending Instant SMS message to non WhatsApp users, and so on. Also, they have added a feature into this Assistant using which, WhatsApp can be used as a command interpreter of server, and so one can access any server remotely just using WhatsApp. This Assistant can chat like a friend, and by added integration of a CLEVER chatting bot with this project, we can make this assistant one of your friend.

References

[1]. A. Agarwal, K. Wardhan, and P. Mehta, (2014). “Natural Language Processing Application for Android”.

[2]. Abu Shawer B. and Atwal A., (2014). “Machine Learning from dialogue corpora to generate chatbots”. Expert Update Journal. Vol.6, No.3, pp.25-30.

[3]. Wallace, R., Tomabachi, H., and Aimles, D. (2003). “Chatterbots go native:Considerations for an eco-system fostering the development of artificial life forms in a human world”. Retreived from http://www.pandorabot. com/pandora/pics/chatterbotsgonative.doc

[4]. Shubham Sahu, (2013). “Forensic Analysis of Instant Messenger Applications on Android Devices ”. International Journal of Engineering Research (IJER), Vol.3, No.5, pp. 349-350.

[5]. TechKnowHow, (2014). Install Whatsapp on Ubuntu. Retrieved from https://samtinkers.wordpress.com /2014/01/11/install-whatsapp-on-ubuntu-12-04-12-10- 13-04-13-10-mint-13141516/

[6]. GitHub. Retrieved from https://github.com/ gunthercox/ChatterBot/releases

[7]. Hacktracking. Retrieved from http://hacktracking. blogspot.in/2013/02/yowsup-cli- send-whatsapp - messages-from.html

[8]. https://www.google.co.in/webhp?sourceid=chromei nstant&ion=1&espv=2&ie = UTF-8#q=dob% 3Ashard%20pawar

i-manager's Journal on Mobile Applications and Technologies (JMT)

Current Issue Vol. 11 Issue 1

Most Read

Most Cited

Volume 2 Issue 1 February - April 2015

Applications of Wearable Technology in Elite Sports

Tom Page*

Senior Lecturer, Electronic Product Design, Loughborough Design School, Loughborough University, UK.

Page, T. (2015). Applications of Wearable Technology in Elite Sports. i-manager’s Journal on Mobile Applications and Technologies, 2(1), 1-15. https://doi.org/10.26634/jmt.2.1.3751

Abstract

References

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Friendbook: A Semantic Based Friend RecommendationSystem

Yashaswini S*

Assistant Professor, Department of Information Science and Engineering, PESIT, Bangalore, India.

Yashaswini, S. (2015). Friendbook: A Semantic Based Friend Recommendation System. i-manager’s Journal on Mobile Applications and Technologies, 2(1), 16-23. https://doi.org/10.26634/jmt.2.1.3752

Abstract

References

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Energy Efficient Clustering with Mobile Data Collectionin Wireless Sensor Networks

Kalaivani S* , C.Gomathi**, N.Santhiyakumari***

Kalaivani, S., Gomathi, C., and Santhiyakumari, N. (2015). Energy Efficient Clustering with Mobile Data Collection in Wireless Sensor Networks. i-manager’s Journal on Mobile Applications and Technologies, 2(1), 24-31. https://doi.org/10.26634/jmt.2.1.3753

Abstract

References

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Android Application for E-Card Transaction Using NFC

A. Saranya* , S.Vishnupriya**, S.Sathyapriya***, B.Pradeepa****, N.Rajganesh*****

*-**** UG Student, Department of Information Technology, AVC College of Engineering, Nagapattinam, Tamilnadu, India. ***** Assistant Professor, Department of Information Technology, AVC College of Engineering, Nagapattinam, Tamilnadu, India.

Saranya, A.,Vishnupriya, S., Sathyapriya, S. Pradeepa, B., and N. Rajganesh (2015). Android Application for E-Card Transaction Using NFC. i-manager’s Journal on Mobile Applications and Technologies, 2(1), 32-39. https://doi.org/10.26634/jmt.2.1.3754

Abstract

References

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Remote Virtual Assistant Using Whatsapp

Nilesh Hinge* , Sajan M. Talekar**, Pooja P. hande***, Ashwini S. Thorbole****, Shubhangi P. Edake*****

*-**** UG Student, Department of Information Technology, Savitribai Phule Pune University, Pune, India. ***** Professor, Department of Information Technology, MMIT, Lohgaon, Pune, India.

Hinge, N.S., Talekar, S.M., Hande, P.P., Thorbole, A.S., and Edake, S.P. (2015). Remote Virtual Assistant Using Whatsapp. i-manager’s Journal on Mobile Applications and Technologies, 2(1), 40-45. https://doi.org/10.26634/jmt.2.1.3755

Abstract

References

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Kalaivani S* , C.Gomathi, N.Santhiyakumari*

A. Saranya* , S.Vishnupriya, S.Sathyapriya, B.Pradeepa, N.Rajganesh

- UG Student, Department of Information Technology, AVC College of Engineering, Nagapattinam, Tamilnadu, India.

Assistant Professor, Department of Information Technology, AVC College of Engineering, Nagapattinam, Tamilnadu, India.

Nilesh Hinge* , Sajan M. Talekar, Pooja P. hande, Ashwini S. Thorbole, Shubhangi P. Edake

- UG Student, Department of Information Technology, Savitribai Phule Pune University, Pune, India.

Professor, Department of Information Technology, MMIT, Lohgaon, Pune, India.