iosr-JECE   A Conference on Wireless Communication and Android Apps "WiCAA–15"

Abstract: The project named 'RFID Based E-Document Verification Using Cloud' proposes to make the E-Document Verification the new technology to reduce the human efforts for getting the documents from certain institutes and even from Government offices. It provides an easy access to the document generation even if the document are misplaced or lost. In our system Radio Frequency Identification is the hardware process, which provides small RFID tags to the user with the electromagnetic waves and produce the signals to it and then access the data. In this project we have implemented the concept of Networking using java and the web application. The project aims at making the document verification and accessing very easy and saving a lot of time and energy and commotion among users. Keywords - Energy, E-document, Government, RFID, Time.

[1] [Monica Nogueira, PHD, University of North Carolina at Chapel Hill, Noel Greis, PhD, University of North Carolina at Chapel Hill, 2009, Institute for Homeland Security Solutions.
[2] A DRAFT REPORT "The Use of RFID for Human Identification‟, from DHS Emerging Applications and Technology Subcommittee to the Full Data Privacy and Integrity Advisory Committee, 2010.
[3] SATO, America, Inc. "RFID SOLUTIONS‟, 2011.
[4] Chetna Dabas, J.P. Gupta, Member, IEEE, "A Cloud Computing Architecture Framework for Scalable RFID ",2013.
[5] J.Chen et al, "Architecture design and performance evaluation in RFID object tracking systems", Computer Communications Vol. 30 Issue 9, pp 2070-2086.

Abstract: This paper is a review of Devnagri character recognition. Generally character recognition system is divided into two types as online and offline character recognition system. Process of character recognition involves the common steps as preprocessing, segmentation and feature extraction. Feature extraction is used to classify an unknown handwritten character into one of the known classes. Finally character gets recognized by pattern matching. In case of character recognition system especially Devnagri character recognition is more complicated as it having multiple loops, conjuncts, upper and lower modifiers and the number of disconnected and multistroke characters. Keywords – Classification, Devnagri Character, Feature Extraction, Recognition and Segmentation.

[1] S. B. Patil, G. R. Sinha and K.Thakur, Isolated Handwritten Devnagri Character Recognition using Fourier Descriptor and HMM. International Journal of Pure and Applied Sciences and Technology, volume 8, No.1, 2012, 69-74.
[2] R.Jayadevan, S. R.Kolhe, P. M. Patil and U. Pal, Offline Recognition of Devanagari Script: A Survey, IEEE Transactions on Systems, Man, And Cybernetics-Part C: Applications and Reviews, volume 41, No. 6, 2011,782-796.
[3] B. Shaw, S.K. Parui and M. Shridhar , A Segmentation Based Approach to Offline Handwritten Devnagari Word Recognition International Conference on Information Technology, 2008, 256-257.
[4] Dr. P. S. Deshpande, L. Malik and S. Arora, Fine Classification & Recognition of Hand Written Devnagari Characters with Regular Expressions & Minimum Edit Distance Method, Journal of Computers, volume 3, No. 5,2008, 11-17.
[5] S. Arora, D. Bhattacharjee, M. Nasipuri, D. Basu and M. Kundu , Combining Multiple Feature Extraction Techniques for Handwritten Devnagari Character Recognition, IEEE Region 10 Colloquium and the Third ICIIS, Kharagpur, INDIA, 2008, 1-6.
[6] V.J. Dongre and Mankar V. H. , A Review of Research on Devnagari Character Recognition, International Journal of Computer Applications ,volume 12, No.2 ,2010., 8-15.

Abstract: In our day to day life, we observe that the communication of speechless/mute patients with normal peoples find many difficulties. Usually speechless patients communicate in sign languages that is not understood by normal peoples. As we know that visual communication is more effective than verbal communication, so by considering this phenomenon we inspired to have some technological system for communication of speechless patients. We have designed the project that focuses on ease of communication between the speech impaired patients or people with the others. The project consists of the glove that translates the bending movement of the fingers into voice or speech signal using Flex sensors. AVR Microcontroller processes the binary data from flex sensors and further the voice module processes on the microcontroller output to produce speech signal. The message spoken through the speaker is also displayed on the LCD display.

[1] Praveen kumar , S. Havalag, Shruthi, Urf Nivedita, "The Amazing Digital Gloves that give voice to the voiceless", IJAET, Volume 6, Issue 1, March 2013, PP. 471-480.
[2] Sankar kumar, Jenitha J, Narmadha, Suganyaa, "An embedded Module as virtual tongue for voiceless", Volume 4, Issue.3, May 2014, PP. 155-163.
[3] Syed faiz Ahmed, Syed Muhammad Baber Ali, Sh. Saqib Munawwar Qureshi, "Electronics speaking Gloves for Speechless patients", IEEE, Nov 2010, PP. 56-60.
[4] Abjhijit auti, V. G. Puranik, Dr. A.K. Kureshi, "Speaking gloves For Speechless Persons", IJIRSET, Volume 3, Issue 4, April 2014, PP. 282-290.

Abstract: VANET (Vehicular Ad-hoc Network) is a part of mobile ad hoc networks (MANETs). Currently VANETs is new challenging network environment that pursues the concept of ubiquitous computing for future. Feature of VANETs such as dynamic topology, vehicle density, roadside infrastructure, power consumption make it much more challenging networks. Addition to that routing decision for different environment make it much more challenging task. The existing routing protocols for VANET are not efficient to meet every traffic scenarios. Thus need of advancement in routing protocol is needed which can satisfy the todays challeges. Our paper make comparative analysis of current popular routing protocol and depand on their flows try to suggest improvement to match current challenges of routing problem.

[1] Pei, G., Gerla, M., and Chen, T.-W. (2000), "Fisheye State Routing: A Routing Scheme for Ad Hoc Wireless Networks," Proc. ICC 2000, New Orleans, LA, June 2000.
[2] Perkins, C.; Belding-Royer, E.; Das, S. (July 2003)"Ad hoc On-Demand Distance Vector (AODV) Routing".
[3] Johnson, D. B. and Maltz, D. A. (1996), "Dynamic Source Routing in Ad Hoc Wireless Networks," Mobile Computing, T. Imielinski and H. Korth, Eds., Ch. 5, Kluwer, 1996, pp. 153–81.
[4] Park, V.D., Corson, M.S. (1997), "A highly adaptive distributed routing algorithm for mobile wireless networks," INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE , vol.3, no., pp.1405-1413 vol.3, 7-12 Apr 1997.

Abstract: We want to offer furniture that makes a difference in everyday life. Good design that combines style, comfort and functionality. Innovation is not just a name, but what we do. Innovations in small space living have never been as in-demand as they are now. As people move closer to the city, they're being forced to move into apartments with tighter spaces as architecture in metropolitan cores grows upward instead of out. This cluster highlights some of the most useful small space living innovations, from ceiling-mounted beds to wall decals that stand in for those replaces or pets you just don't have room for anymore. Implications - Partly due to the lay out and administration of modern mega cities, space has become an increasingly rare commodity. Here's a brilliant way to increase storage space in an incredibly small room.

[1] Muhammad Ali Mazidi, PIC microcontroller and embedded system (Pearson Education international, New Delhi).
[2] Vernon Anthony, PIC microcontroller and embedded system, in J.Houseman (Ed.), The PIC Microcontrollers, History and Features 1(New Delhi, India 2007) 27-34.
[3] http://kunoliving.wordpress.com/2010/10/16/a-short-history-of-indian-furniture/
[4] http://www.britannica.com/EBchecked/topic/222627/furniture/73748/India
[5] http://www.innovationliving.com/

Abstract: Army's welfare is one of the most important aspects of any country. It is our duty to equip soldier with better advanced technology. This paper helps to track the soldier at any given moment using GPS. In this paper, soldier's health parameters such as heart rate and body temperature are continuously measured and transmitted wirelessly to the control room using GSM. In case of death of the soldier, the processor detects the change in pulse rate and location of the dead soldier; tracked by the GPS module is then communicated to the military base station by the use of GSM. This information can be used to devise war strategies as to how many more soldiers (and where) should be deployed to replace the martyrs. In case of emergency, soldier can communicate directly to the base station using a panic switch. Keywords - Tracking, GPS, GSM, ARM, Biosensors

[1] V.S.Bendre, "GPS based soldier tracking and Health indication system", International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 2, Issue 3, March 2013.
[2] P. S. Kurhe, S. S. Agrawal, "Real Time Tracking & Health Monitoring System of Remote Soldier Using Arm7" International Journal of Engineering Trends and Technology- Volume4Issue3- 2013.
[3] www.gpsintegrated.com/
[4] www.ieee.org/portal/site.
[5] http://en.wikipedia.org/wiki/Wireless.

Abstract:Oscillator is one of the Basic blocks in communication system. Oscillators generate the carrier signals which are to be modulated with the original message signal for transmission. The oscillators are designed mainly for ISM & Wi-Fi band applications using different technologies viz. 45nm, 65nm, 90nm.This paper deals with the most efficient design process of different types of oscillators using microwind 3.5. The different types of oscillators viz. Ring oscillator, voltage controlled oscillator are designed with minimum power consumption and minimum area on chip. Keywords –Microwind 3.5, Ring Oscillator, VCO, Frequency, Power Consumption.

[1] B. Razavi, "Design of Integrated Circuits for optical Communications", McGraw-Hill, 2003
[2] F. R. Labonnah, M. B. I. Reaz, M. A. M. Ali, Mohd. Marufuzzaman, and M. R. Alam, "Beyond the WiFi: Introducing RFID system using IPv6", in Proc. of the Kaleidoscope: Beyond the Internet? - Innovations for Future Networks and Services, ITUT, pp.1-4, 13-15 December 2010, Pune, India.
[3] N. M. Nguyen and R. G. Meyer, "Start-up and Frequency Stability in High- Frequency Oscillators," IEEE Journal of Solid State Circuits,vol. 27, pp. 810-820, May 1992.
[4] A1 Ms.Ujwala A. Belorkar And Dr.S.A.Ladhake, ―High Performance Voltage Controlled Oscillator (VCO) Using 65nm VLSI Technology ―, International Journal Of Computer Networks & Communications (IJCNC), Vol.2, No.4, July 2010

Abstract: The wireless communication technologies are rapidly spreading too many new areas, including the automation and the importance of the use of wireless technologies in the data acquisition, building control, monitoring systems and automation of manufacturing processes will grow. Intelligent mobile robots and cooperative multi agent robotic systems can be very efficient tools to speed up search and research operations in remote areas. Robots are also useful to do jobs in areas and in situations that are hazardous for human. They can go anywhere that is not reachable by humans and can go into gaps and move trough small holes that are impossible for humans and even trained dogs.

1] www.maxstream.net
[2] http://www.hwsensor.com
[3] www.motorola.com/staticfiles/
[4] http://sensor-networks.org/
[5] http://books.google.com/
[6] http://searchmobilecomputing.techtarget.com

Abstract: Community question answering (cQA) services have accomplished quiet popularity over the past years. It helps user to get information from a comprehensive set of well-answered questions. Existing community question-answering forums usually provide only textual answers. However, for many questions, pure texts cannot provide intuitive information, while image or video contents are more appropriate. In this paper, we propose a scheme that is able to improve textual answers in cQA with appropriate multimedia data. MMQA consists of three components in its scheme, those are Answer medium selection, Query generation for multimedia search, and Multimedia data selection and presentation.

[1] Liqiang Nie, Meng Wang, Yue Gao, Zheng-Jun Zha, Tat-Seng Chua, "Beyond Text QA: Multimedia Answer Generation by Harvesting Web Information" IEEE Transactions On Multimedia January 2013
[2] A. Tamura, H. Takamura, and M. Okumura, "Classification of multiple- sentence questions," in Proc. Int. Joint Conf. Natural Language
[3] D. Mollá and J. L. Vicedo, "Question answering in restricted domains: An overview," Computat. Linguist, vol. 13, no. 1, pp. 41–61, 2007.
[4] Guangyou Zhou, Yang Liu, Fang Liu, Daojian Zeng, and Jun Zhao," Improving Question Retrieval in Community Question Answering Using World Knowledge", Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence
[5] R.Mervin, A.Jaya, "Web spider: A Search engine for multimedia Question answering", International Journal of Research in Information Technology, Vol. 01, Issue 01, April 2012

Abstract: Resource Management is one of the most critical problems of data centers. One effective way to tackle this problem is using the optimal way to handle this data and when we talk about the Smart Grid it's become too critical to handle this enormous amount of data. In this paper we are going to suggest the use of cloud computing instead of building a new data center and also focusing on the cyber security of the same. We can use the existing resources to handle this data. We know the electrical network is much bigger than the computer network and the data generated by the houses are tremendous in nature. Then we are going to make an approach to tackle this data with existing resources in an effective manner.

[1] http://en.wikipedia.org/wiki/Smart_grid
[2] http://erb.umich.edu/Research/InstituteReports/11-12/Hicks-Smart-Grid.pdf,Christian Hicks
[3] Tarry Singh, Pavan Kumar Vara, "Smart Metering the Clouds", 2009 18th IEEE International Workshops Technologies: Infrastructures for Collaborative Enterprises.
[4] "The smart grid vision for India‟s Power Sector." International Smart Grid Conference Proceedings.
[5] Y. Pradeep, S. A. Khaparde and Reji Kumar "Intelligent GridInitiatives in India"

Abstract: Fitness functions are use to get better accuracy when datasets are Imbalanced i.e .data sets are divided into minority and majority classes. Classifiers have good accuracy on the majority classes but very poor accuracy on the minority classes. There are two approaches to classify Imbalanced data such as external and internal. External approach uses Transforming & Sampling from original unbalanced dataset. Internal approach uses Cost adjustment with the help of fitness function in the uneven distribution of dataset during the training process. The fitness function plays a very important role in Genetic Programming to obtain the best solutions within a large search space more effectively & efficiently. This paper developed fitness functions like Amse, Incr, Corr and Dist with Naive Bayes and Support vector machine methods.

[[1] Urvesh Bhowan, Mark Johnston and M. Zhang, ―Developing new fitness functions in Genetic Programming for Classification with unbalanced data‖,IEEE Trans On Sys, man and cybernetics—Part B: Vol. 42, No. 2, April2012.
[2] J. Eggermont, J.N.Kok, and W.A.Kosters, ―Genetic Programming for data classification:Partitioning the search space‖, in Proc. ACM SAC, 2004, pp.1001-1005.
[3] Yuchun Tang, Yan-Qing Zhang, Nitesh V. Chawla, and Sven Krasser, ―SVMs modeling for highly imbalanced classification‖,IEEE transactions on systems, man and cybernetics—part b: cybernetics, vol. 39, no. 1, February2009.
[4] 4. G. Patterson and M. Zhang, ―Fitness functions in genetic programming for classification with unbalanced data‖, in Proc. 20th Australian Joint Conf.Artif.Intell.,vol. 4830, LNCS, 2007.
[5] A.Asuncion and D. Newman, UCI machine learning repository, Irvine, CA.[Online]. Available: http://archive.ics.uci.edu/ml/MLRepository.html.

Abstract: Traditional voting process is fully manual and paper based which was very time consuming and prone to security. As technology developed, electronic based voting systems were still prone to electoral frauds and voters have to make tremendous efforts in order to cast their ballots. The proposed system is secure mobile voting which will overcome all these issues. So the proposed system uses fingerprint textures for voting process as the fingerprint shows most promising future in real world applications. Because of their uniqueness and consistency over time fingerprint have been used for identification and authentication purpose.The mobile equipment used will be in the form of Smart phone with Android OS.

[1] Donovan Gentles, &Dr. Suresh Sankaranarayanan , " Biometric Secured Mobile Voting" ,Mona Institute of Applied Science, University of West Indies, Kingston, Jamaica.
[2] NaserZaeri," Minutiae-based Fingerprint Extraction and Recognition",Arab Open University Kuwait.
[3] Cheng-Bo Yu, Hua-Feng Qin, Lian Zhang, Yan-ZheCui,"Finger-vein image recognition combining modified hausdorff distance with minutiae feature matching",Chongqing Institute of Technology, Chongqing 400050, China

Abstract: K means is one of the oldest algorithms, which is widely used for clustering of images as well as data. Clustering makes the analysis much simpler and easier. K means is used in many applications and many study related programs. But in this paper we are going to compare couple of improved K means clustering algorithms. Here we are going to compare Modified K Means (MKM) with Adaptive Fuzzy K Means (AFKM) clustering algorithm for image as well as data. As we know K means was mostly used for biomedical, microscopic, satellite images only but here MKM and AFKM can be used for normal image which is taken from CCD, mobile camera, and digital cameras. Both the above mentioned algorithms are based on conventional K means technique. Here we are also using percentage scored in engineering students for data analysis.

Keywords - Adaptive Fuzzy K Means Clustering Algorithm, Clustering, Image and Data Analysis, Modified K Means Clustering .

[1] Malay K. Pakhira, A Modified k-means Algorithm to Avoid Empty Clusters, International Journal of Recent Trends in Engineering, vol 1, No. 1, May 2009.
[2] Siti Noraini Sulaiman and Nor Ashidi Mat Isa, Adaptive fuzzy-K-means clustering algorithm for image segmentation, IEEE Transactions on Consumer Electronics, Vol. 56, No. 4, November 2010.
[3] M. Y. Mashor, Hybrid Training Algorithm for RBF Network, International Journal of Computer, Internet and Management, vol. 8, no. 2, pp. 50-65, 2000.
[4] D. Auber, and M. Delest, A clustering algorithm for huge trees, Advances in Applied Mathematics, vol. 31, no. 1 pp. 46-60 2003.
[5] A. S. Mahani, A. E. Carlsson, and R. Wessel, Motion repulsion arises from stimulus statistics when analyzed with a clustering algorithm, Biological Cybernetics, vol. 92, no. 4, pp. 288-291, 2005.
[6] T. Abeel, Y. V. d. Peer, and Y. Saeys, Java-ML: A machine learning library, Journal of Machine Learning Research, vol. 10, pp. 931-934, 2009.