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Volume-3 Issue-5

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Volume-3 Issue-5, April 2015, ISSN: 2319–6386 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.



Susanto Tirtoprojo, M M

Paper Title:

The Determination and Validation of Dimension of Islamic Health Care Service Quality in ISITEKS (Islam Ilmu Teknologi dan Seni) Boarding School Imogiri, Bantul, Jogjakarta, Indonesia

Abstract: This study aims to test 55 point of in-depth interview items to reveal the quality of Islamic health care practice according to patients’ experience in managing their health, whether for medication, prevention, and health care in normal health condition. This study uses qualitative research method. The data were collected from 10 participants by using in-depth interview to identify the dimension of health care service quality, as well as from 30 participants by in-depth interview using list of qeustions which is compiled based on the identification of quality dimension to assess health care service they perceive. In-depth interview can be analyzed correctly according to the purposes, through IPA (Interpretative Phenomenological Analysis). There are 55 points in the in-depth interview to measure the performance of Islamic health care. The researcher found that there are two core dimensions to revive The Nuclear Biochip Health Care, the dimension of health information and the dimension of GCU (General Check-Up) result. The 29 point in the in-depth interview can be applied in the research on health care service satisfaction at various hospitals, especially Islamic Hospital.

Instant health information, Islamic hospitals, Nuclear Biochip Health Service, Quantum General Checkup.


1.        Shihab, M Quraish. 2009. Al-Mishbah Interpretation, Message, impressions, and Harmony of Al-Qur’an. New Edition. First Edition. Vol 10; page 59 and 87. Lentera Hati: Jakarta. (Shihab, M Quraish. 2009. Tafsir Al-Mishbah, Pesan, Kesan, dan Keserasian al-Quran. Edisi Baru. Cetakan ke-1. Vol 10; Hal. 59 dan 87. Lentera Hati. Jakarta)
2.        Al-Qardhawy, Yusuf. 1997. As-Sunnah as A Source of Science and Technology, and Civilization. First Edition. Pustaka Al-Kautsar: Jakarta. (Al-Qardhawy, Yusuf. 1997. As-Sunnah Sebagai Sumber IPTEK dan Peradaban. Cetakan I. Pustaka al-Kautsar. Jakarta.)

3.        Bahreisy, Salim. 1986. Translation of Riyadus Shalihin. Book 1 and 2. PT. Alma’arif. Bandung.

4.        Indonesian Law, Number 44, 2009, about Hospital (Undang-Undang Republik Indonesia, Nomor 44, Tahun 2009, Tentang Rumah Sakit).

5.        http://www.merriam-webster.com/

6.        Leebov, Wendy, Ed. D. 1991. The Quality Quest, A Briefing for Health Professionals. In Imbalo S. Pohan. 2007. Page 4.

7.        Ali M, Ahmed, 2009. Is the hand of God involved in human cooperation?. International Journal of Social Economics Vol. 36 Nos 1/2, 2009 pp. 70-80. Emerald Group Publishing Limited.

8.        Decree of Indonesian Minister of Health, Number 828/MENKES/SK/IX/2008, on Hospital Services Minimum Standard (Keputusan Mentri Kesehatan RI, Nomor 828/MENKES/SK/IX/2008, Tentang Standar Pelayanan Minimal Rumah Sakit)

9.        Pohan, Imbalo S. 2007. Quality Assurance of Health Care Services: The Basics of Understanding and Application. EGC Publisher for medical book. Jakarta. (Pohan, Imbalo S. 2007. Jaminan Mutu Layanan Kesehatan: Dasar-dasar Pengertian dan Penerapan. Penerbit Buku Kedokteran EGC. Jakarta.)

10.     Jenkinson, C. Coulter. A, and Bruster. S. (2002) The Picker Patient Experience Questionnaire: development and validation using data from in-patient surveys in five countries. International Journal for Quality in Health Care, Volume 14, Number 5: 353-358.

11.     Geertz, Clifford. 1974. The Intepretation of Cultures. Translated to Indonesian by Fransisco Budi Hardiman. Tafsir Kebudayaan. Kanisius. Yogyakarta.

12.     Nizhan, Abu. 2008. Handbook for Al-Qur’an. First Edition. Qultum Media: Yogyakarta. (Nizhan, Abu. 2008.Buku Pintar Al-Qur`an Cetakan Pertama. Qultum Media. Jakarta.)

13.     Almath, Muhammad Faiz. 1991. 1100 Selected Hadiht: The Light of Muhammad Teaching, translator: A. Azziz Salim Basyarahil, Gema Insani Press: Jakarta (Almath, Muhammad Faiz. 1991. 1100 Hadits Terpilih: Sinar Ajaran Muhammad, penerjemah A. Azziz Salim Basyarahil, Gema Insani Press. Jakarta)

14.     Smith, Jonathan, A. 2008. Qualitattive Psychology: A Practical Guide to Research Methods. Indonesian Edition. Budi Santosa.2009. Pustaka Pelajar, Yogyakarta

15.     Smith, Jonathan A., Flower, Paul. Larkin, Michael. 2010 Interpretative Phenomenological Analysis. Theory, Method and Research. Sage Publication. New Delhi. India






Balamurugan P, Ramya G

Paper Title:

Multikeyword Retrieval over Encrypted Data

Abstract: The main aim of project is data owners are motivated to outsource their complex data management systems from local sites to the cloud for great flexibility and economic savings. But for protecting data privacy, sensitive data has to be encrypted before outsourcing, which obsoletes traditional data utilization based on plaintext keyword search. Thus, enabling an encrypted data search service is of paramount importance. Considering the large number of data users and documents in the cloud or server, it is necessary to allow multiple keywords in the search request and return documents in the order of their relevance to these keywords. Related works on searchable encryption focus on single keyword search or Boolean keyword search, and sort the search results. In this process, define and solve the challenging problem of privacy preserving Multi-keyword ranked search over encrypted data. Among various multi keyword semantics, choose the efficient similarity measure of coordinate matching, as many matches as possible, to capture the relevance of data documents to the search query. Provide the data to the users in a secure manner.

Two round searchable encryption, searchable symmetric encryption, order preserving encryption, multi keyword search.


1.        D. Song, D. Wagner, and A. Perrig, “Practical Techniques for Searches on Encrypted Data,” Proc. IEEE Symp. Security and Privacy, 2000.
2.        Sharad Mehrotra & Bijit Hore,” A Middleware Approach for Managing Privacy of Outsourced Personal Data”.

3.        Suman M,  B. Chempavathy, “An Approach for Efficient and Secure Retrieval of Encrypted Cloud Data Based On Top-K Multikeywords”,2014.

4.        Dan Boneh, Giovanni Di Crescenzo, “Public Key Encryption with Keyword Search”.

5.        Mrs. P. Shanmuga Priya M.E(Ph.d), Preethi.D, Priya.J, shanthini.B, “Retrieval of Encrypted Data Using Multi Keyword Top –K Algorithm”,April 2014.

6.        Jiadi Yu, Peng Lu, Yanmin Zhu,” Toward Secure Multikeyword Top-k Retrieval over Encrypted Cloud Data”,Aug2013.






S. Anita, S. Jothi

Paper Title:

Implementation of Android Voice Recognition for Smart Home Application Using Bluetooth

Abstract: Bluetooth technology is a low power wireless communication intended to replace the cables connecting many different devices. The low cost Bluetooth technology is open standard technology for implementing short range wireless communication. In this paper two android devices are connected through Bluetooth technology, which controls the electrical devices (Fan, Light) by Voice recognition. The developed system recognizes the voice commands, convert them into proper text and send the text through Bluetooth wireless medium. The received text is associated with ARM 11, performs the required switching operation and the output is acknowledged in the transmitter section. Hence, this paper has been presented for elderly and disabled people to control home appliances by voice recognition which offers high attention among public.

Android, Bluetooth, Voice recognition, ARM 11.


1.        R.A.Ramlee,M.H.Leong,R.S.S.Singh,M.M.Ismail,M.A.Othman,H.A.Sulaiman,M.H.Misran,M.A.Meor Said,” Bluetooth Remote Home Automation System Using Android Application”, “The International Journal of Engineering And Science (IJES)”,Volume 2,issue 01,2013,pp.149-153.
2.        HumaidAishu‟eili, GourabSen Gupta, Subhasukhopadhyay,”Voice Recognition Based Wirless Home Automation System”, 4th International conference on Mechatronics”, 2011.

3.        KailashPatiDutta, PankajRai and VinceetShekher,”Microcontroller Based Voice Activated Wireless Automation System”, VSRD International Journal of Electrical, Electronics & Communication Engineering”, Volume 2,2012,pp.642-649.

4.        Weihua pan, FucaiLuo, Lei Xu,”Research and design of chatting room system based on android Bluetooth”, IEEE 2012, pp 3390-3392.

5.        N. Sriskanthan, F. Tan, A. Karande,”Bluetooth based home automation system”, Elsevier, Microprocessors and Microsystems 26 (2002), pp. 281-289.

6.        Somak R. Das, Silvia Chita,NinaPeterson,Behrooz A. Shirazi and medhaBhadkamkar,” Home automation and security for mobile devices”,”1st IEEE percom workshop on pervasive communication and service clouds”,pp 141-146.

7.        Li Liu, Yanfang Jing, Zengxiao Chi1, JianBang Chen1, Chao Ma1”Design and implementation of Android Phone Based Group Communication and Navigation System”, pp 3174-3177.

8.        Han Bing “Analysis and Research of system Security Based on Android”, fifth international conference on intelligent computation technology and automation, 2012, pp. 581-584.

9.        www.ubi.com.

10.     www.wikipedia.com

11.     http://www.bluetooth.com/Pages/what-is-bluetoothtechnology.aspx






Indraneel Guha, Rashmi Adatkar, Dinesh Patel, Paresh Vaghasiya

Paper Title:

Wireless Restaurant Ordering System

Abstract: Conventional method that usually been used in restaurant is by taking the customer’s orders. The project was proposed with the ZigBee technology as the communication medium and peripheral interface controller (pic) as the hardware which implements faster ordering system. The aim for this project is to build and design both hardware and software for the ordering and delivering system at restaurants by using keypad, display screen via ZigBee communication. The project also targeted to receive information that works around 50m away with the specific location. The project was able to solve the lack number of the worker, reduce the lateness and the error on ordering foods by the customers.  For the future target, using touch screen display and compress the device to more compact device are recommended as the nowadays demand to interact young generation for using this system.

ZigBee, PIC, Wireless Sensing Network, Touch technology.


1.        Khairunnisa K., Ayob J., Mohd. Helmy A. Wahab, M. ErdiAyob, M. IzwanAyob, M., AfifAyob “The Application of Wireless Food Ordering System,” MASAUM Journal of Computing, Volume 1 Issue 2, September 2009, PP 178-183.
2.        Khairunnisa K., Ayob J., Mohd. Helmy A. Wahab, M. ErdiAyob, M. IzwanAyob, M., AfifAyob “The Application of Wireless Food Ordering System,” MASAUM Journal of Computing, Volume 1 Issue 2, September 2009, PP 178-183.

3.        Captain Pad retrieved information from http://www.captainpad.com/about-captainpad pda.html on 10 September 2012.

4.        J.Mustafa, R.Kothari, R.Naik, and A.Slatewala,” Touch & Dine A Multi-Touchable Restaurant System,” in UACEE International Journal of Computer Science and its Applications-Volume 1: Issue 1 [ISSN 2250-3750].

5.        Multi-Touch information retrieved from http://www.scribd.com/doc/28414813/Multi Touch-Technologies on 10 September 2012.

6.        Android Wi-Fi Diagram Fig.[1] retrieved from http://www.innovantesindia.com/wordpress/2011/04/01/wifi/on 10 September 2012.

7.        H.Kulkarni, S.Dascalu, F.Harris, “Software Development Aspects of a Mobile Food Ordering System.”






Sarita Chauhan, Aakashdeep Sharma, Abhishek Brahmabhatt, Namrata Singh, Puneet Sharma

Paper Title:

Comparative Study of ANFIS-Based Wrapper Model for Classification of Cancer and Normal Genes on Microarray Gene Expression Data

Abstract: A novel way to enhance the performance of a model that combines genetic algorithms and neuro fuzzy logic for feature selection and classification is proposed. This research work involves designing a framework that incorporates genetic algorithm with neuro fuzzy for feature selection and classification on the training dataset. It aims for reducing several medical errors and provides better prediction of diseases. Medical diagnosis of diseases is an important and difficult task, and a proposed method performs feature selection and parameters setting in an evolutionary way. The wrapper approach to feature subset selection is used in this paper because of the accuracy. The performance of the ANFIS classifier was evaluated in terms of training performance and classification accuracy. The objective of this research is to simultaneously optimize the parameters and feature subset without degrading the ANFIS classification accuracy.ANFIS is compared with three other classifiers which are Support Vector Machine (SVM), K-Nearest Neighbour (KNN) and Classification And Regression Trees (CART). ANFIS gives the best results for original data of all the datasets and the predictions for noisy data are adequate in comparison with three others classifiers.

ANFIS; Feature Selection; ; Cancer Classification.


1.        C. Lazar, J. Taminau, S. Meganck, D. Steenhoff, A. Coletta, C. Molter, V. de Schaetzen, R. Duque, H. Bersini, and A.  Now, A survey on filter techniques for feature selection in gene expression microarray analysis, Ieeeacm Trans. Comput. Biol. Bioinforma. Tcbb, vol. 9, no. 4, pp. 1106 1119, 2012.
2.        A. El Akadi, A. Amine, A. El Ouardighi, and D. Aboutajdine, A twostage gene selection scheme utilizing MRMR  filter and GA wrapper, Knowl. Inf. Syst., vol. 26, no. 3, pp. 487500, 2011.

3.        T. Howlader and Y. P. Chaubey, Noise reduction of cDNA microarray images using complex wavelets, Image  Process. Ieee Trans., vol. 19, no. 8, pp. 19531967, 2010.

4.        N. Giannakeas, D. I. Fotiadis, and A. S. Politou, An automated method for gridding in microarray images, in  Engineering in Medicine and Biology Society, 2006. EMBS06. 28th Annual International Conference of the IEEE, 2006, pp. 58765879.

5.        L. Ying and C. Li, Based adaptive wavelet hidden Markov tree for microarray image enhancement, in Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on, 2008, pp.314317.

6.        A. Figueroa, P. S. Tsai, E. Bent, and R. Guo, Robust spots finding in microarray images with distortions, in  Engineering in Medicine and Biology Society, 2008EMBS 2008. 30th Annual International Conference of the  IEEE, 2008, pp. 13391342.

7.        J. C. H. Hernandez, B. Duval, and J.-K. Hao, SVM-based local search for gene selection and classification of Microarray data, in Bioinformatics Research and Development, Springer, 2008, pp. 499 508.

8.        C.-P. Lee, W.-S. Lin, Y.-M. Chen, and B.-J. Kuo, Gene selection and sample classification on microarray data based on adaptive genetic algorithm/k-nearest neighbor method, Expert Syst. Appl. Int. J., vol. 38, no. 5, pp. 46614667, 2011.

9.        T. Jacobson, Bayesian Classification and Regression Tree Analysis (CART), 2010.

10.     X. H. Wang, R. S. Istepanian, and Y. H. Song, Microarray image enhancement by denoising using stationary  wavelet transform, NanobioscienceIeee Trans., vol. 2, no. 4, pp. 184189, 2003.

11.     I. Guyon and A. Elisseeff, An introduction to variable and feature selection, J. Mach. Learn. Res., vol. 3, pp. 11571182, 2003.

12.     M. S. Mohamad, S. Omatu, S. Deris, and M. Yoshioka, An Iterative GASVM-Based Method: Gene Selection and Classification of Microarray Data, in Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, Springer, 2009, pp. 187194.

13.     E. Alba, J. Garcia-Nieto, L. Jourdan, and E. G. Talbi, Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms, in Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, 2007, pp. 284290.  M. S. Mohamad, S. Omatu, S. Deris, and M.

14.     Yoshioka, Particle swarm optimization with a modified sigmoid  function for gene selection from gene expression data, Artif. Life Robot., vol. 15, no. 1, pp. 2124, 2010.

15.     L. X. Wang, A Course on Fuzzy Systems. Prentice-Hall press, USA, 1999.

16.     J. S. R. Jang, ANFIS: Adaptive-network-based fuzzy inference system, Syst. Man Cybern. Ieee Trans., vol. 23, no. 3, pp. 665685, 1993.

17.     Z. Wang, V. Palade, and Y. Xu, Neuro-fuzzy ensemble approach for microarray cancer gene expression data  analysis, in Evolving Fuzzy Systems, 2006 International Symposium on, 2006, pp. 241246.

18.     T. S. K. M. M. Hassan, Adaptive Neuro Fuzzy Inference System (ANFIS) For Fault Classification in the Transmission Lines, Online J. Electron. Electr. Eng. Ojeee Vol2no1 Vol, vol. 1.

19.     J. Li and H. Liu, Kent Ridge Bio-medical Data Set Repository, 2002.

20.     D. Bozdag, A. S. Kumar, and U. V. Catalyurek, Comparative analysis of biclustering algorithms, in Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010, pp. 265274.






Sarita Chauhan, Anshita Arya, Laxmi Bagri, Raveena Sharma, Shikha Gupta

Paper Title:

Intensity Controlled by Touch Capacitive Sensor Built with Interfacing CNFET Characteristics

Abstract: Intensity controller plays vital role in todays life as it has numerous applications such as it reduces energy consumption, it can be used to control intensity of many devices such as light, fan, can be used in false ceiling, mood lighting etc. . In our paper we have implemented a light intensity dimmer whose intensity is controlled by characteristics of CNFET. We are soon going to reach hard limit of Silicon chip so we need a new technology to replace it. Here CNFET emerges as best alternative. Applications based on low power utility such as sensing are becoming increasingly  important and are in demand in terms of minimizing energy  consumption, promoting the search   for  new and   innovative interface architectures and  technologies. Carbon-nanotube  FETs   (CNFETs) has emerged as a new technology for further  energy  reduction. CNFET has various features such as process robustness, low power consumption,low voltage capability,smaller chip area.In this paper we are presenting a device whose intensity is changed repeatively by a touch capacitive sensor.

Keywords: Carbon nanotube FET (CNFET), sensor  interface  circuit, matlab.


1.        S. Rivoire,M. A. Shah, P. Ranganathan, and C. Kozyrakis, “JouleSort: Abalanced energy-efficiency benchmark,” in Proc. ACMSIGMODInt. Conf. Management of Data, Jun. 2007, pp. 365–367.
2.         J. Appenzeller, “Carbon nanotubes for high-performance electronics— Progress and prospect,” Proc. IEEE, vol. 96, no. 2, pp. 201–211, Feb. 2008

3.        A. D. Franklin, M. Luisier, S. J. Han, G. Tulevski, C. M. Breslin, L. Gignac, M. S. Lundstrom, and W. Haensch, “Sub-10 nm carbon nanotube transistor,” Nano Lett., vol. 12, no. 2, pp. 758–762, 2012.

4.        L. Ding, S. Liang, T. Pei, Z. Zhang, S. Wang, W. Zhou, J. Liu, and L. M. Peng, “Carbon nanotube based ultra-low voltage integrated circuits:Scaling down to 0.4 V,” Appl. Phys. Lett., vol. 100, no. 26, 2012, Art.ID 263116.

5.        L.Wei, D. Frank, L. Chang, and H.-S. P.Wong, “A non-iterative compact model for carbon nanotube FETs incorporating source exhaustion effects,” in Proc. IEEE Int. Electron Devices Meeting, 2009, pp. 917–920.

6.        Q. Cao, S. J. Han, G. S. Tulevski, Y. Zhu, D. D. Lu, and W. Haensch, “Arrays of single-walled carbon nanotubes with full surface coverage for high-performance electronics,” Nature Nanotechnol., vol. 8, no. 3,pp. 180–186, 2013.

7.        A. D. Franklin, S. O. Koswatta, D. Farmer, G. S. Tulevski, J. T. Smith, H. Miyazoe, and W. Haensch, “Scalable and fully self-aligned n-type carbon nanotube transistors with gate-all-around,” in Proc. Int. Electron. Devices Meet., Dec. 2012, pp. 4–5.

8.        Y. Chai, A. Hazeghi,K. Takei, H. Y. Chen, P. C. Chan,A. Javey, and H. S. Wong, “Low-resistance electrical contact to carbon nanotubes with graphitic interfacial layer,” IEEE Trans. Electron Devices, vol. 59, no. 1, pp. 12–19, Jan. 2012.

9.        N. Patil, A. Lin, J. Zhang, H. Wei, K. Anderson, H.-S. P. Wong, and S. Mitra, “Scalable carbon nanotube computational and storage circuits immune to metallic and mis-positioned carbon nanotubes,” IEEE Trans. Nanotechnol., vol. 10, no. 4, pp. 744–750, Jul. 2011.

10.     M. Shulaker, J. Van Rethy, G. Hills, H. Y. Chen, G. Gielen, H. S.Wong, and S. Mitra, “Experimental demonstration of a fully digital capacitive sensor interface build entirely using carbon nanotube FETs,” in Proc. Int. Solid State Circuits Conf., 2013, pp. 112–113.

11.     J. Zhang, N. Patil, H. S.Wong, and S.Mitra, “Overcoming carbon nanotube variations through co-optimized technology and circuit design,” in Proc. Int. Electron. Devices Meet., Dec. 2011, pp. 4–6.

12.     F. Qu,M. Yang, J. Jiang, G. Shen, and R. Yu, “Amperometric biosensor for choline based on layer-by-layer assembled functionalized carbon nanotube and polyaniline multilayer film,” Analytical Biochem., vol. 334, no. 1, pp. 108–114, 2005.

13.     J. Zhang, S. Bobba, N. Patil, A. Lin, H.-S. P. Wong, G. D. Micheli, and S.Mitra, “Carbon nanotube correlation: Promising opportunity for CNFET circuit yield enhancement,” in Proc. Des. Automat. Conf., Jun. 2010, pp. 889–892

14.     J. Van Rethy, H. Danneels, and G. Gielen, “Performance analysis of energy-efficient BBPLL-based sensor-to-digital converters,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 60, no. 8, pp. 2130–2138,Aug. 2013.

15.     S. W. Hong, T. Banks, and T. J. A. Rogers, “Improved density in aligned arrays of single-walled carbon nanotubes by sequential chemical vapor deposition on quartz,” Adv. Mater., vol. 22, no. 16, pp. 1826–1830, 2010.

16.     M. Shulaker, “SACHA: The Stanford Carbon Nanotube Controlled Handshaking Robot,” Stanford Univ., Stanford, CA, USA, Mar. 19, 2013 [Online].

17.     H.Wei, H. Y. Chen, L. Liyanage, H. S.Wong, and S. Mitra, “Air-stable technique for fabricating n-type carbon nanotube FETs,” in Proc. Int. Electron. Devices Meet., Dec. 2011, pp. 22–23.

18.     A. Lin, N. Patil, K. Ryu, A. Badmaev, L. G. De Arco, C. Zhou, and H. S. Wong, “Threshold voltage and on-off ratio tuning for multiple-tube carbon nanotube FETs,” IEEE Trans. Nanotechnol., vol. 8, no. 1, pp. 4–9, Jan. 2009.

19.     J. Deng and H. S. Wong, “A compact SPICE model for carbon-nanotube field-effect transistors including nonidealities and its applications— Part II: Full device model and circuit performance benchmarking,” IEEE Trans. Electron Devices, vol. 54, no. 12, pp. 3195–3205, Dec. 2007. H. Wei, N. Patil, J. Zhang, A. Lin, H. Y. Chen, H.-S. P. Wong, and S. Mitra, “Efficient metallic carbon nanotube removal readily scalable to wafer-level VLSI CNFET circuits,” in Proc. Symp. VLSI Technol., Jun. 2010, pp. 237–






S. Anitha Shree, J. Dhiviya Rose, M. Sumitha

Paper Title:

RFID and GSM Based Intelligent Parking System

Abstract: The parking of vehicles in big parking spaces like shopping complexes, office complexes and other types of building that requires large parking space needs proper planning. There is a need to address    the visitors to notify occupied and non occupied parking spaces. Most of the visitors lose their valid time up-to 30 to 45 minutes just to find an empty parking space. Some of the existing parking space systems offered using image processing technology process the brown rounded image drawn at parking lot and produce the information about the empty parking spaces. However, this type of technique is expensive in order to install and to be maintained. In this project, we have developed a unique solution by providing cost effective solution using internet of things. Our system improvises upon the existing parking system by enhancing its security features and automating the parking process thus eliminating the need for manual intervention. Here for authentication and owners identification the parking system has RFID card reader which is the part of recent IOT technology.   Instead of using maintain cable ,we developed a system that uses wireless technology  like  GSM and messages that could help the visitor to notify empty and non empty parking spaces. The space management and identification is performed with the help of an ARM microcontroller which controls the sensors and send ASM message to visitor to park the vehicle at an appropriate parking location.

IOT, RFID, ASM, ARM microcontroller.


1.        A. Ghosh, S.K. Das, Coverage and connectivity issues in wireless sensor networks: a survey, Pervasive and Mobile Computing 4 (2008) 303–334.
2.        “Automated Parking System” Harmeet singh,chetan Anand,vinay kumar,Ankit Sharma.

3.        “Wireless based smart parking system using  zigbee”, Hamzah  Asyrani  Bin Sulaiman,mohdfareez bin mohd afif

4.        K. Ashton, That ‘‘Internet of Things’’ thing, RFiD Journal (2009).

5.        H. Sundmaeker, P. Guillemin, P. Friess, S. Woelfflé, Vision and challenges for realising the Internet of Things, Cluster of European Research Projects on the Internet of Things—CERP IoT, 2010.

6.        A. Ghosh, S.K. Das, Coverage and connectivity issues in wireless sensor networks: a survey, Pervasive and Mobile Computing 4 (2008) 303–334.

7.        X. Li, R.X. Lu, X.H. Liang, X.M. Shen, J.M. Chen, X.D. Lin, Smart community:an Internet of Things application, IEEE Communications Magazine 49 (2011)68–75.

8.        www.keil.com/dd/docs/datashts/atmel/at89c51_ds.pdf

9.        www.keil.com/support/man/docs/c51/






Sarita Chauhan, Bahadur Singh, Bhajanlal Vishnoi, Subhash Saini, Vikas Kala

Paper Title:

Emulation of Artificial Neural Network on an FPGA-based Accelerator using CYCLONE II

Abstract: Analog VLSI circuits are being used successfully to implement Artificial Neural Networks (ANNs). These analog circuits exhibit nonlinear transfer function characteristics and suffer from device mismatches, degrading network performance. Because of the high cost involved with analog VLSI production, it is beneficial to predict implementation performance during design. We used hardware timemultiplexing to scale network size and maximize hardware usage. An on-chip CPU controls the data flow through various memory systems to allow for large test sequences.We show that Block-RAM availability is the main implementation bottleneck and that a trade-off arises between emulation speed and hardware resources. However, we can emulate large amounts of synapses on an FPGA with limited resources. We have obtained a speedup of 30.5 times with respect to an optimized software implementation on a desktop computer.

Artificial neural networks, analog VLSI emulation, FPGA-based accelerators, hardware time multiplexing, embedded systems.


1.        C. M. Bishop, Pattern recognition and machine learning. Springer Science+Business Media, LLC, 2006.
2.        C. Diorio, D. Hsu, and M. Figueroa, Adaptive CMOS: from Biological Inspiration to Systems-on-a-Chip, Proceedings of the IEEE, vol. 90, no. 3, pp. 345357, 2002.

3.        G. Cauwenberghs and M. A. Bayoumi, Eds., Learning on Silicon: Adaptive VLSI Neural Systems, ser. The Kluwer International Series in Engineering and Computer Science. Kluwer Academic Press, 1999.

4.        M. Figueroa, S. Bridges, and C. Diorio, On-chip compensation of device-mismatch effects in analog VLSI neural networks, in Advances in Neural Information Processing Systems 17. Cambridge, MA: MIT Press, 2005.

5.        B. Dolenko and H. Card, Tolerance to Analog Hardware of On-Chip Learning in Backpropagation Networks, IEEE Transactions on Neural Networks, vol. 6, no. 5, pp. 1045 1052, 1995.

6.        E. Matamala, Simulation of adaptive signal processing algorithms in VLSI (in Spanish). Civil Electrical Engineers thesis, Universidad de Concepcion, 2006.

7.        D. B. Thomas, L. Howes, and W. Luk, A Comparison of CPUs, GPUs, FPGAs, and Massively Parallel Processor Arrays for Random Number Generation, in Proceedings of the ACM/SIGDA international symposium on FPGAs, 2009, pp. 6372.

8.        D. Herrera and M. Figueroa, FPGA-based Analog VLSI Neural Network Emulator, in Proceedings of the Chilean Congress on Computing, 2008.

9.        F. Yang and M. Paindavoine, Implementation of an RBF Neural Network on Embedded Systems: RealTime Face Tracking and Identity Verification, in IEEE Transactions On Neural Networks, vol. 14, 2003, pp. 11621175.

10.     V. Stopjakov, D. Miuk, L. Benuskova, and M. Margala, Neural Networks-Based Parametric Testing of Analog IC, in IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems, vol. 17, 2002.

11.     M. Figueroa, E. Matamala, G. Carvajal, and S. Bridges, Adaptive Signal Processing in Mixed-Signal VLSI with Anti-Hebbian Learning, in IEEE Computer Society Annual Symposium on VLSI. Karlsruhe, Germany: IEEE, 2006, pp. 133138.

12.     D. Coue and G. Wilson, A four-quadrant subthreshold mode multiplier for analog neural-network applications, Neural Networks, IEEE Transactions on, vol. 7, no. 5, pp. 1212 1219, sep 1996.

13.     C. R. Schneider, Analog CMOS Circuits for Artificial Neural Networks, Ph.D. dissertation, University of Manitoba, 1991.

14.     C. Diorio, S. Mahajan, P. Hasler, B. A. Minch, and C. Mead, A High-Resolution Nonvolatile Analog Memory Cell, in IEEE International Symposium on Circuits and Systems, vol. 3, Seattle, WA, 1995, pp. 22332236.

15.     S. Kilts, Advanced FPGA Design, Architecture, Implementation and Optimization. Wiley-Interscience, 2007.





M. A. Gopalan, S. Vidhyalakshmi, E. Premalatha

Paper Title:

Special Pairs of Pythagorean Triangle

Abstract: We illustrate the different methods of obtaining pairs of Pythagorean triangles which are such that, in each pair, the sum of the product of their generators is a perfect square. Also a few interesting properties among the pairs of Pythagorean triangles and special polygonal numbers are exhibited.

Pair of Pythagorean triangles, special polygonal numbers.


1.        W.Sierpinski, Pythagorean triangles, Dover publications, INC,     Newyork, 2003.
2.        M.A.Gopalan and G.Janaki, “Pythagorean triangle with area/perimeter as a special polygonal number”, Bulletin of Pure and Applied Science, Vol.27E (No.2), 2008, 393-402.

3.        M.A.Gopalan and A.Vijayasankar, “Observations on a Pythagorean problem”, Acta Ciencia Indica, Vol. XXXVI M, No 4, 2010, 517-520.

4.        M.A.Gopalan and S.Leelavathi, “Pythagorean triangle with area/perimeter as a square integer”, International Journal of Mathematics, Computer sciences and information Technology, Vol.1, No.2, 2008, 199-204.

5.        M.A.Gopalan and A.Gnanam, “Pairs of Pythagorean triangles with equal perimeters”, Impact J.Sci.Tech., Vol 1(2), 2007, 67-70.

6.        M.A.Gopalan and S.Leelavathi, “Pythagorean triangle with 2 area/perimeter as a cubic integer”, Bulletin of Pure and Applied Science, Vol.26E (No.2),2007, 197-200.

7.        M.A.Gopalan and A.Gnanam, “A special  Pythagorean problem”, Acta Ciencia Indica, Vol. XXXIII M, No 4,2007, 1435-1439.

8.        M.A.Gopalan, A.Gnanam and G.Janaki, “A Remarkable Pythagorean problem”, Acta Ciencia Indica, Vol. XXXIII M, No 4, 2007, 1429-1434.

9.        M.A.Gopalan, and S.Devibala, “On a Pythagorean problem”, Acta Ciencia Indica, Vol. XXXII M, No 4,2006, 1451-1452.

10.     M.A.Gopalan and B.Sivakami, “Special Pythagorean triangles generated through the integral solutions of the equation ”,Diophantus J.Math., Vol 2(1), 2013, 25-30.

11.     M.A.Gopalan and A.Gnanam, “Pythagorean triangles and Polygonal numbers”, International Journal of Mathematical Sciences, Vol 9, No. 1-2, 2010, 211-215.

12.     K.Meena, S.Vidhyalakshmi, B.Geetha, A.Vijayasankar and M.A.Gopalan,”Relations between special polygonal numbers generated through the solutions of Pythagorean equation”,IJISM, Vol. 2(2),2014,257-258.

13.     M.A.Gopalan and G.Janaki, “Pythagorean triangle with perimeter as Pentagonal number”, Antarctica J.Math., Vol 5(2), 2008, 15-18.

14.     M.A.Gopalan and G.Sangeetha, “Pythagorean triangle with perimeter as triangular number”,GJ-AMMS,Vol. 3, No 1-2 , 2010,93-97.

15.     M.A.Gopalan , Manjusomanath and K.Geetha,” Pythagorean triangle with area/perimeter as a Special polygonal number”, IOSR-JM, Vol. 7(3),2013,52-62.

16.     M.A.Gopalan and V.Geetha,” Pythagorean triangle with area/perimeter as a Special polygonal number”, IRJES, Vol.2(7),2013,28-34.

17.     M.A.Gopalan and B.Sivakami, “Pythagorean triangle with hypotenuse minus 2(area/ perimeter) as a square integer”, Archimedes J.Math., Vol 2(2), 2012, 153-166.

18.     M.A.Gopalan V.Sangeetha and Manjusomanath, “Pythagorean triangle and Polygonal number”,Cayley J.Math., Vol 2(2), 2013,151-156.

19.     M.A.Gopalan and G.Janaki, “ Pythagorean triangle with nasty number as a leg”,Journal of applied Mathematical Analysis and Applications, Vol 4,No 1-2,2008,13-17.

20.     M.A.Gopalan and S.Devibala, “Pythagorean triangle with Triangular number as a leg”, Impact J.Sci.Tech., Vol 2(4), 2008, 195-199.

21.     M.A.Gopalan,  S.Vidhyalakshmi, N.Thiruniraselvi, R.Presenna, “On Pairs of Pythagorean Triangles –I”, IOSR Journal of Mathematics, Vol.11, Issue 1, Ver. IV, Jan- Feb 2015, 15 -17.






Nishan Patnaik

Paper Title:

DOA Estimation Algorithm for Smart Antennas-An Investigation

Abstract: High resolution direction-of-arrival (DOA) estimation is important in many applications and over the years many techniques have been proposed. The signal subspace method (MUSIC) [1] has been the most popular and is known to yield asymptotically unbiased and efficient estimates. The MUSIC algorithm estimates the signal subspace from the array measurements and then estimates the parameters of interest from the intersections between the array manifold and the estimated signal. In this work DOA estimation based on MUSIC algorithm and improved MUSIC algorithm is investigated. The classical MUSIC algorithm is analyzed and results of simulations using Matlab are presented. Results for the DOA estimation of the noncoherent signals and coherent signals are found.

MUSIC, Beamforming, direction-of-arrival (DOA), eigen-decomposition.


1.        R.O. Schmidt, “Multiple emitter location and signal parameter estimation,” Proc. RADC Spectrum Estimation Workshop, pages 243-258, Griffiths AFB, N.Y., 1979.
2.        R. Arnot, A. Bull, M. Barret, and A. Carr, “Development of an adaptive antenna demonstrator for DECT,” IEE Colloq. on Smart Antennas, Dec.1994.

3.        R. H. Roy, Thomas Kailath, “ESPRIT, estimation of signal parameters via rotational invariance techniques,”  IEEE Transactions on Acaustics, Speech, and Signal Processing,Vol. 37, No.7, pages 984-995.

4.        Constantine A. Balanis, Panayiotis I. Ioannides “Introduction to Smart Antennas”, Morgan & Claypool, 2007.

5.        Khairy A. El-Barbary, Tawil S. Mohammed, Mohammed s. Melad, “High resolution direction of arrival estimation (Coherent Signal source DOA estimation),” IJERA, Vol.3, Issue 1, Jan-Feb 2013, pp.132-139.

6.        Debasis Kundu, “Modified Music algorithm for estimating DOA of signals,” in ELSEVIER, signal processing 48 (1996), pages 85-90.






K. Sangeetha, A. M. Natarajan

Paper Title:

Intellisense Cluster Management and Energy Efficient Routing in Mobile Ad Hoc Networks

Abstract: Mobile ad hoc network (MANET) is a collection of distributed nodes which communicate using multi-hop wireless links with frequent node mobility. The goal for ad hoc networks is to accommodate light weight, battery powered portable devices. Because of the finite power limitation, we have to design efficient ways to use the existing power. For a networking device, significant power is consumed for communications and more specifically for transmissions. A first step towards efficient utilization of power is to maintain the topology and control the transmission range. For maintaining the topology a new clustering scheme is developed considering the cluster coefficient and degree of the nodes. The transmission ranges of the nodes are controlled for avoiding more power consumption. The proposed intellect clustering algorithm is compared with one of the distributed weighted clustering algorithm. The method of clustering is more efficient to the latter and the variable transmission range is adopted to control the utilization of power. The proposed method improves the modeling of ad hoc networks and the serves as good foundation for formation of ad hoc networks.

Clustering, cluster coefficient, energy conservation,   node degree, transmission range.


1.        Basagni, M. Conti, S. Giordano, and I. Stojmenovic, “Mobile Ad Hoc Networking” IEEE Press, Wiley Interscience, Hoboken, NJ, USA, 2004.ISBN:0-471-37313-3.
2.        S. Chinara and S. K. Rath, “A survey on one-hop clustering algorithms in mobile ad hoc networks,” Journal of Network and Systems Management, vol. 17, no. 1-2, pp. 183–207, 2009.DOI : 10.1007/s10922-009-9123-7.

3.        X. Hong, K. Xu, and M. Gerla, “Scalable Routing Protocols for Mobile Ad Hoc Networks,” IEEE Network Magazine, pp. 11-21, July-Aug. 2002,DOI : 10.1109/ISCC.2000.860698.

4.        Javier Gomez, Member, IEEE, and Andrew T. Campbell, Member, “Variable-Range Transmission Power Control  in Wireless Ad Hoc Networks” IEEE Transactions on Mobile Computing, vol. 6, no. 1, January 2007,DOI: 10.1109/TMC.2007.250673.

5.        Murthy, C. S. R. and Manoj, B. S., “Ad Hoc Wireless Networks:  Architectures and  protocols”, Prentice Hall(2004). ISBN:978-81-317-0688-6.

6.        Ratish Agarwal and Dr. Mahesh Motwani -”Survey of clustering algorithms for MANET”, International Journal on Computer Science and Engineering Vol.1(2), 2009, 98-104 ISSN : 0975-3397.

7.        R. Ramanathan and R. Rosales-Hain, “Topology control of multi-hop wireless networks using transmit power  adjustment,” in Proceedings of the 19th Annual Joint Conference of the IEEE Computer and Communications Societies (INFO-COM ’00), pp. 404–413, March 2000DOI:

8.        P. Santi, 'Topology Control in Wireless Ad Hoc and Sensor Networks,” John Wiley & Sons, New York,USA,2005. DOI: 10.1145 /1089733 .1089736.

9.        M. Steenstrup, “Cluster-Based Networks,” Chapter 4, Ad Hoc Networking, edited by C. E.Perkins, Addison- Wesley,  2001.ISBN:0-201-30976-9.

10.      Zhuochaun, H., Chien-Chung, S., Sathapornphat, S. and Jaikacoc, (2002) “Topology Control for Adhoc        Networks with directional antennas”,Computer Communications Networks. DOI:10.1109 /ICCCN.2002.1043039.






Sneha Kulkarni, Sunil Sontakke

Paper Title:

Power System Analysis of a Microgrid using ETAP

Abstract: Due to evolution in the power system, the development of smaller generating systems such as micro turbines, Wind Turbines, Solar PV system, etc., have opened new opportunities for onsite power generation which is located at user’s site called Distributed Energy Resources (DER). The significant potential of DER to meet customers need and utilities independently can be captured by organizing these resources into Microgrid. Power System study and analyses are mandatory parts of power system engineering. This paper deals with a Micro Grid simulation in Electrical Transient Analyzer Program (ETAP). This paper is focused on the detailed analyses by using the most modern software ETAP, which performs numerical calculations of large integrated power system with fabulous speed besides, generating output reports which will be helpful in implementation of a Microgrid system. In this software, Off-line monitoring is made which includes current flowing in every branch, power factor, active and reactive power flow, short circuit analysis and harmonic distortion etc. of large power system. Based upon the recorded data obtained from an actual Microgrid which has been implemented in ETAP for Off-line monitoring and analyses.

DER, DG, ETAP, Microgrid, Distributed Generation, Load flow, Introduction.


1.        Robert H. Lasseter, Paolo Piagi, " Microgrid: A Conceptual Solution ", PESC’04 Aachen, Germany 20-25 June 2004.
2.        R. H. Lasseter, J. H. Eto, B. Schenkman, et.al., "CERTS Microgrid Laboratory Test Bed", IEEE Transactions On Power Delivery, Vol. 26, No. 1, January 2011.

3.        Takehiko Kojima, Yoshifumi Fukuya, " Microgrid System for Isolated Islands"

4.        Ahmed Yousuf Saber and Ganesh Kumar Venayagamoorthy, "Resource Scheduling Under Uncertainty in a Smart Grid with Renewables and Plug-in Vehicles", IEEE Systems Journal, Vol. 6, No. 1, March 2012.

5.        Ahmed Yousuf Saber and Ganesh Kumar Venayagamoorthy, "Resource  Scheduling Under Uncertainty in a Smart Grid with Renewables and Plug-in Vehicles", IEEE Systems Journal, Vol. 6, No. 1, March 2012.

6.        Robert Lasseter and Micah Erickson, "Integration of Battery-Based Energy Storage Element in the CERTS Microgrid", October 27, 2009 DE-FC02-06CH11350, CERTS, US Department of Energy.

7.        Paolo Piagi and Robert H. Lasseter," Autonomous Control of Microgrids", IEEE PES Meeting, Montreal, June 2006.

8.        Xiaohong Guan, Zhanbo Xu, Qing-Shan Jia, "Energy-Efficient Buildings Facilitated by Microgrid", IEEE Transactions on Smart Grid, Vol. 1, No. 3, December 2010.

9.        P.Selvan and R.Anita," Revelation for New User to Select Power System Simulation Software", Journal of Asian Scientific Research, 1 (7), pp.366-375(2011).

10.     Rohit Kapahi, "Load Flow Analysis of 132 kV substation using ETAP      Software", International Journal of Scientific & Engineering Research Volume 4, Issue 2, February-2013 ISSN 2229-5518.

11.     Aswani R, Sakthivel R," Power Flow Analysis of 110/11KV Substation Using ETAP", International Journal of Applied Research and Studies (iJARS) ISSN: 2278-9480 Volume 3, Issue 1 (Jan - 2014).

12.     Rana A. Jabbar Khan, Muhammad Junaid and Muhammad Mansoor Asgher," Analyses and Monitoring of 132 kV Grid using ETAP Software".

13.     K. R. Padiyar, "Power System Dynamics Stability and Control" Second Edition, BS Publications, 2008, ISBN: 81-7800-186-1.

14.     P. M. Anderson, A. A. Fouad, " Power System Control and Stability", Second Edition , IEEE Press, A John Wiley & Sons, Inc., Publication, USA , ISBN 0-471-23862-7.






Shruti Kametkar, Priyanka Deshmukh, Sarang Paithankar, Mrityunjay Ojha, Shweta Tripathi

Paper Title:

School Bus Tracking System

Abstract: Tracking school buses and students has become an important issue due to the decision of whether it would be quicker to wait for the arrival of school bus or to hire a cab/rickshaw as the bus is late/missed to reach school. The proposed system intends to aid in the bus arrival intimation by bringing in an application that will help in successfully tracking the school bus and the child. This application is used to track the current location of the school bus by parents and the school authorities. The proposed systems also include intimation to parents about their child boarding the school bus. This system uses a GPS tracker which is in built in the android phone along with the RFID reader in the school bus. The tracker is used for locating the current geographic position of the bus and RFID (Radio Frequency Identification Device) is used to uniquely identify child that has subscribed for the intimation service. This system uses a database to store the details about the bus route, bus details and children. Although the system proposes to be used for a school bus tracking, it can also be implemented for private/public bus services.

GPS, RFID, School, System, bus.

1.        http://blogs.wsj.com/indiarealtime/2012/10/16/indias-missing-children-by-the-numbers/
2.        http://www.missingkids.com/KeyFacts

3.        http://en.wikipedia.org/wiki/Radio-frequency_identification

4.        http://en.m.wikipedia.org/wiki/Vehicle_tracking_system

5.        http://www.ukessays.com/essays/education/vehicle-tracking-methods.php

6.        http://www.nextbus.com/#_home

7.        http://www.mta.info/news-bus-time-buses-brooklyn-queens/2014/02/24/mta-real-time-bus-tracking-arriving-brooklyn-and

8.        http://coeut.iitm.ac.in/webapp.html

9.        http://en.wikipedia.org/wiki/Android_%28operating_system%29

10.     http://en.wikipedia.org/wiki/Global_Positioning_System

11.     http://en.wikipedia.org/wiki/GPS_navigation_device

12.     http://en.wikipedia.org/wiki/General_Packet_Radio_Service

13.     http://en.wikipedia.org/wiki/Radio-frequency_identification#Tags

14.     http://www.tutorialspoint.com/mysql

15.     http://en.wikipedia.org/wiki/XAMPP

16.     http://en.wikipedia.org/wiki/PHP

17.     http://json.org/
18.     http://en.wikipedia.org/wiki/Eclipse_%28software%29

19.     https://docs.google.com/forms/d/1m6vE5mKobb8cOPkE67RkISBekWxtBOkqRqYM3yg4mGA/viewform?c=0&w=1&usp=mail_form_ link