IOSR Journal of Computer Engineering (IOSR-JCE)

Sep.- Oct. 2017 Volume 19 - Issue 5

Version 1 Version 2 Version 3 Version 4 Version 5

Paper Type : Research Paper
Title : A Novel Prototype Model for PLC Based Intelligent Garage
Country : Egypt
Authors : Sherif Kamel Hussein || Ahmed Samir Habeb
: 10.9790/0661-1905020107     logo

Abstract: Nowadays, a huge number of people are using cars every day. In big cities, parking spaces have become a very big problem and people need to save time by avoiding looking for parking areas. Parking cars in the streets are not safe and this is one of the main problems facing the people. One particular solution is the automobile turntable, which has been used successfully in a variety of applications, including commercial and residential. The intelligent garage is useful for people to park their cars and leave cars safe and secured. There are many systems introducing smart parking but they have many problems..........

Keywords and Abbreviations: Programmable Logic Controller (PLC), Supervisory Control and Data Acquisition (SCADA), Variable Frequency Drive (VFD), Infra Red (IR), Power Over Ethernet (POE), Direct Current (DC), Distributed Peripherals (DP),

[1] SIEMENS MANUAL PLC S7, HMI and Communications.
[2] Amale.S, Pardeshi.S"NOVEL APPROACH OF LIFT CONTROL IN AUTOMATIC CAR PARKING USING PLC", International Journal of Research in Engineering and Technology, vol. 04, PP. 2321-7308, June 2015.
[3] Behende.M, Wagh.S "Intelligent Car Park Management System using Wireless Sensor Network", International Journal of Computer Applications, vol. 122, PP. 0975-8887, July 2015.
[4] Jog.Y, Sajeev.A, Vidwans.S, Mallik.C "Understanding Smart and Automated Parking Technology," International Journal of u- and e- Service, Science and Technology, vol.8, No. 2, 2015.
[5] G.Venkateswarlu, Sahu.J, Y.Sriya, Pappala.S "PLC and SCADA Based Secured and Sustainable Living," International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol.4, No. 4, April 2015.


Paper Type : Research Paper
Title : Packet Transfer in DLH Networks
Country : Bulgaria
Authors : Milen Angelov || Nadezhda Ruskova
: 10.9790/0661-1905020813      logo

Abstract: An effective implementation of message passing between nodes in multiprocessing systems is a key factor in achieving high performance and efficiency in their operation. The flow-control mechanism in a router, one of the fundamental functional nodes in MPP systems, allocates buffers and channel bandwidth for their data units – flits or packets. In this paper, we present an approach for packet transfer in a DLH network over full-duplex channels via cut-through flow control, implemented for the presented input-buffer architecture, routing algorithm, arbitration, distribution and packet commutation in the routers. With this sort of transmission, a high degree of channel utilization and throughput is achieved.

Keywords: Cut-Through Flow Control, DLH Network, Flow Control Digit (flit), MPP Computer

[1] TOP500 Supercomputer Sites. http://www.top500.org
[2] M. Pütz. Cray Aries Interconnect. Superior scalability and performance, ZKI Workshop 2014, Kaiserlautern
[3] C. Minkenberg Interconnection Network Architectures for High Performance Computing, Advanced Computer Networks, 2013
[4] H Miyazaki., Y. Kusano, N. Shinjou, F. Shoji, M. Yokokawa, T. Watanabe. Overview of the K computer System, FUJITSU Sci. Tech. J., 48 (3), 2012, 255–265
[5] W. Dally, B. Towles. Principles and Practices of Interconnection Networks (Morgan Kaufmann Press, San Francisco, 2004)


Paper Type : Research Paper
Title : A Study on Data Visualization
Country : India.
Authors : S.Sravani || M.Vinitha
: 10.9790/0661-1905021417      logo

Abstract: Data visualization is presenting the data in pictorial or graphical format. With the rapid growth of data, the importance to extract useful information from the data is increasing. With ever growing data it takes hours or days to get answers for questions. More users are expecting self access to information in a form they can easily understand and share with others. Data visualization for text is an effective way to see and analyze what a designated text is saying.

Keywords: Visualization, Histogram, Scatter plot, Network, Gantt Chart

[1] A. Paterek, "Improving regularized singular value decomposition for collaborative filtering," in Proceedings of the KDD Cup and Workshop (KDDCup '07), pp. 5–8, San Jose, Calif, USA,
[2] August 2007.
[3] Q. Liu, E. Chen,H.Xiong,C.H.Q.Ding, and J.Chen, "Enhancing collaborative filtering by user interest expansion via personalized ranking," IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, vol. 42, no. 1, pp. 218–233, 2012.
[4] C. Birtolo, D. Ronca, and R. Armenise, "Improving accuracy of recommendation system by means of item-based fuzzy clustering collaborative filtering," in Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA '11), pp. 100–106, IEEE, November 2011.
[5] S. Zhang, W. Wang, J. Ford et al., "Learning from incomplete ratings using non-negative matrix factorization," in Proceedings of the 6th SIAM Conference on Data Mining (SDM '06), 2006


Paper Type : Research Paper
Title : Smart Wi-Fi based Communicator and Scheduler
Country : India
Authors : Sarita Kukreja || Dr.Nadir N.Charniya
: 10.9790/0661-1905021823      logo

Abstract: Currently, security and confidentiality of information play a vital role in the organization. Hence, organization prefers to use their own developed application over the existing freeware applications in the market. This paper proposes an organization support system using Android as an operating platform. In this application, client-server based architecture is used. Android based smart phones will be on the client side and PC will act a server which consists of the centralized database. It provides notification to the users connected to the organization's network about their schedule on an hourly basis. It will also provide features like voice communication, text messaging, file sharing, broadcasting of messages over short range wireless network mainly Wi-Fi. This application verifies whether the user is connected to organization's network; if the user is out of coverage area then he receives a text message as an SMS..

Keywords: Client-Server, Wi-Fi, Android, smartphone, call, text, notification.

[1] MU Yuxiang, "The Design of Android System based on Instant Communication Software" AMEII, 2015
[2] 2016 Sep, "Voice over IP (VoIP)" [online] available at http://searchunifiedcommunications.techtarget.com/definition/VoIP
[3] Reetesh V. Golhar, Suyog K. Dahule, Mangesh D. Ramteke, Vishal D. Jaiswal Nutankumar S. Jane, "Advance Ippbx System for Free of Cost Calling in Campus", International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 4, April 2014
[4] Prof. Anil Hingmire, Ms. Mrunal Tipari, Mr. Rohit Gopalan, Mr. Sanman Chavan "Implementation of Voice, Video and Text Data over Wi-Fi", International Journal of Engineering Research and General Science, Volume 3, Issue 2, March-April, 2015
[5] Nivedita S. Deshmukh, "Secure Message Passing and Content sharing in Smart-Phones Using Wi-Fi",International Journal of Computer Science and Information Technology, Volume 4 Issue 9,September 2015


Paper Type : Research Paper
Title : Hybrid Approach of Scheduling Using BAT&CUCKO Algorithm in Parallel System
Country : India
Authors : Sharanjeet Singh || Manisha
: 10.9790/0661-1905022429      logo

Abstract: These days, Grid computing has increased huge consideration because of its innovative progression, cost lessening and accessibility. In the Grid situations, the appropriate scheduling of the got tasks over service gives has turned into a vital and essential issue. The scheduling issue in Grid situations is a NP-hard issue. Hence, numerous heuristics have been proposed to take care of this issue up to now. In this paper, we propose another bee colony calculation to plan the tasks on service providers in the Grid conditions. The comes about exhibited that the proposed calculation has a superior operation as far as task execution time, holding up time and missed tasks..

[1]. R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, "Grid computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility," Future Generation Computer Systems, vol. 25, pp. 599- 616, 6// 2009.
[2]. S. Ravimaran and M. A. Maluk Mohamed, "Integrated Obj_FedRep: Evaluation of Surrogate Object based Mobile Grid System for Federation, Replica and Data Management," Arabian Journal for Science and Engineering, pp. 1-16, 2014/03/29 2014.
[3]. Y.-T. Lin, M.-L. Wen, M. Jou, and D.-W. Wu, "A Grid-based learning environment for developing student reflection abilities," Computers in Human Behavior, vol. 32, pp. 244-252, 3// 2014.
[4]. A. Kertesz, G. Kecskemeti, and I. Brandic, "An interoperable and self-adaptive approach for SLA-based service virtualization in heterogeneous Grid environments," Future Generation Computer Systems.
[5]. B. Rimal, A. Jukan, D. Katsaros, and Y. Goeleven, "Architectural Requirements for Grid Computing Systems: An Enterprise Grid Approach," Journal of Grid Computing, vol. 9, pp. 3-26, 2011/03/01 2011


Paper Type : Research Paper
Title : An Enhancement of Software Quality – A Review
Country : India
Authors : Rekha Ahirwar
: 10.9790/0661-1905023035      logo

Abstract: In modern age, each and every users want to certain level of quality in software for achieving the desired performance. The sense of quality could not be limited but in general sense " it is fitness for use of software is much enough 'there was so many investigations were performed previously by the various research scholars in respect of quality of the software. in this papers we were focus on the quality aspects , steps associated to improving the quality of the software , software quality tools and phase of software developments There by we were achieved an improvement in software quality...

Keywords: software quality, quality aspect, quality tools ( pareto-charts , fish-born diagram) , development phases

[1]. Ajit Ashok Shenvi,2009,"Defect Prevention with Orthogonal Defect Classification", In Proc-ISEC '09, February 23-26, 2009
[2]. Defect Prevention by SEI's CMM Model Version 1.1.,http://www.dfs.mil/technology/pal/cmm/vl/dp
[3]. Linda Westfall, Defect Density http://www.westfallteam.com/Papers/defect_density.pdf
[4]. Megan Graham, 2005, Software Defect Prevention using Orthogonal Defect Prevention. Http://twin spin.csumn.edufiles /ODC_TwinSPIN
[5]. Mukesh soni, 1997, Defect Prevention: Reducing cost and improving quality" published in IEEE Computer, (Volume 30, Issue 8), August 1997


Paper Type : Research Paper
Title : A Comparative Analysis of the Effects of Robots on Nigeria Economy
Country : Nigeria
Authors : Mamudu, Friday || Lamido, Abdulkadir A.
: 10.9790/0661-1905023640      logo

Abstract: There is a growing trend among academia and business leaders on the issue of 21st century automation revolution that is about to take over the labour market. There had been arguments and counter arguments on both the negative and positive impacts of this industrial revolution. The developed countries are worried over this development and have been trying to put all machineries in place in order to forestall the negative impacts in case it occurs. Unfortunately, the developing countries are not preparing for this revolution. The paper offers an economic analysis technique based upon the premise of increased probability of robotics capturing the labour market segments. The negative.....

Keywords: Artificial Intelligence (AI), Expert System (ES), Sensors, Automation, Robots

[1]. Angelova, K. (2011). "How Robots have evolved over the last 200 years. Business insider. Retrieved 13th October, 2014.
[2]. Derek, T. (2015). "A world without work" The Atlantic.
[3]. Ghosh, B.N. (2007). Gandhian political economy: Principles, practice and policy, Ashgate. Pp 14,15. ISBN 0754646815.
[4]. Mamudu, F. and Mustapha I. (2013). Journal of educational research, special edition vol. 3, No. 9 Pp. 57. Access at www.mcser.org.
[5]. Martin, F. (2015). Rise of the robots. www://www.wired.com/brandlab/2015/04/rise-machines-future-lots-robots-jobs-humans


Paper Type : Research Paper
Title : Facial Expression Recognition System Performance Using Various Database
Country : India
Authors : V.Sathya || T.chakravarthy
: 10.9790/0661-1905024149      logo

Abstract: In the developing technology emotion recognition from the facial expression is one of the most important research areas. During the analysis process, one of the major challenges present in the system is wide range of variation in the human face image which leads to reduce the entire system performance while analyzing the face related emotions. So, the automatic facial related emotion recognition system is implemented using the different image processing and machine learning techniques. Initially the face image has been captured and the image is analyzed according to the skin color. After the color image is transmitted to the grey scale image and the noise present image is eliminated with the help of the non-local median filtering approach.The selected features are trained.............

Keywords: facial expression, emotion recognition, back propagation neural networks, hidden markov model.

[1]. Busso, C., Deng, Z., Yildirim, S., Bulut, M., Lee, C.M., Kazemzadeh, A., Lee, S., Neumann, U.: Analysis of emotion recognition using facial expressions, speech and multimodal information. In: Proc. of ICMI 2004, Pennsylvania (October 2004)
[2]. Black, M.T., Yacoob, Y.: Recognizing facial expressions in image sequences using local parameterized models of image motion. Int. J. Com. Vis. 25, 23–48 (1997)
[3]. Fellenz, W.A., Taylor, J.G., Cowie, R., Douglas-Cowie, E., Piat, F., Kollias, S., Orovas, C., Apolloni, B.: On emotion recognition of faces and of speech using neural networks, fuzzy logic and the ASSESS Systems. In: Proc. of the IEEE -INNS-ENNS Int. Joint Conf. Neural Networks, p. 2093 (2000)
[4]. Ekman, P., Friesen, W.V.: Unmasking the Face: A Guide to Recognizing Emotions from Facial Clues. Prentice-Hall, New Jersey (1975)
[5]. Jeffrey F. CohnBy Ying-li Tian, Takeo Kanade. Recognizing action units for facial expression analysis. In 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) - Volume 1, June 2000


Paper Type : Research Paper
Title : Transfer Learning on Pre-trained Deep Convolutional Neural Network for Classification of Masses in Mammograms
Country : India
Authors : Basanth M.S || Dr.Rajashree Shettar
: 10.9790/0661-1905025055      logo

Abstract: Computer-Aided Detection systems have developed as a support system for radiologists and physicians in lesions detection in mammograms, indicating the presence of breast cancer. Early detection of breast cancer could be facilitated through the use of computer technologies for identifying abnormalities such as masses, architectural distortion, and calcifications in mammograms. Efficient image classification and feature extraction will reduce the number of rescanning, the time required for diagnosis, accurate diagnosis, and quick treatment. Cost and waste reduction is important.............

Keywords: Computer-aided detection or diagnosis, Breast cancer, Convolutional NeuralNetwork, ConvNets, Transfer Learning, Deep Learning

[1]. Jemal, A., Siegel, R., &Ward, E. (2008). "Cancer statistics", CA: A
[2]. Cancer Journal for Clinicians."Cancer statistics", CA: A Cancer Journalfor Clinicians, 58(2), 71-96.
[3]. Jiang, Y., Nishikawa, R. M., & Schmidt, R. A. (1999)."Improving breast cancer diagnosis with computer aided diagnosis", Academy Radioliology, 6(1), 22-33.
[4]. Chan, H. P., Doi, K., &Vybrony, C. J. (1990)."Improvement in radiologist's detection of clustered microcalcifications on mammograms: the potential of computer aided diagnosis", Investigative Radiology, 25(10), 1102-1110.
[5]. Lévy, D., & Jain, A. (Barcelona, Spain, Dec 2016). "Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks",.Proceeding of the 30th Conference on Neural Information Processing Systems.


Paper Type : Research Paper
Title : New-Generation Modelling and High-Resolution Simulation
Country : Turkey
Authors : Aykut Zongur
: 10.9790/0661-1905025666      logo

Abstract: The try- and take- the clothes- on virtual surfaces is a long-continuing journey including many processes in itself. This continuum starts from the new generation of surfaces up to the last end of the tailor-fitting for an animation. We initiated the long-running design by seaming up of the inter-seams betwixt the pieces and proceeding with combining out the figures with these parts, and make the finalé with an unprecedent outfitting ability, respectively. We recreated and animated our models for having an up-front superiority over the other on-shelf rivals wherefore this directly originates.............

Keywords: Physics-based modeling, Virtual Modeling, Computer Simulation, Physically-Based Animation

[1] Joe Barry, "Three-dimensional triangulation from local transformations", Journal on SISC, vol. 10, pp. 718-741, 1989.
[2] Martin Stynes, "On faster convergence of the bisection method for all triangles", Mathematics of Computation, vol. 35, pp. 1195-1201, 1980.
[3] Ivo Rosemberg, "A lower bound of the angles of triangles constructed by bissecting the longest side", Mathematics of Computation, vol. 29, pp. 390-395, 1975.
[4] M. C. Rivara, "A 3-D refinement algorithm suitable for adaptive and multi-grid techniques", Communications in Applied Numerical Methods, vol. 8, pp. 281-290, 1992.
[5] M. C. Rivara, "Algorithms for refining triangular grids suitable for adaptive and multigrid techniques", International Journal for Numerical Methods in Engineering, vol. 20, pp. 745-756, 1984.


Paper Type : Research Paper
Title : A Training Independent Visual Codebook using SURF for Large Scale Image Retrieval
Country : India
Authors : Vipin Gopalakrishnan Nair || Nadir N. Charniya
: 10.9790/0661-1905026774      logo

Abstract: The number of digital images created and uploaded on the internet is approximately over a billion each day. With the advent of modern image capturing devices namely digital cameras and smartphones, there is a huge surge in the quantity of images generated. Retrieving any of these images at a later stage for reference and analysis is cumbersome. Hence we need computer vision algorithms which can sift through the vast image database and return the results with considerable accuracy and speed. In this paper, we detect the local features in an image and describe its neighborhood in terms of SURF descriptor. The feature vectors are converted into code words by indexing and a codebook is generated. The visual codebook is training independent as it doesn't update or modify its contents by itself based on new image features which are added later on. We tested our algorithm on a self made dataset of 2400 images.............

Keywords: Local Image Features, SURF, Visual codebook

[1] W. Li, L. Duan, D. Xu and I. W. H. Tsang, "Text-based image retrieval using progressive multi-instance learning" in 2011 International Conference on Computer Vision, pp. 2049-2055, Nov. 2011.
[2] Jose Costa Pereira and Nuno Vasconcelos, "Cross-modal domain adaptation for text based regularization of image semantics in image retrieval systems" in Computer Vision and Image Understanding, vol.124, pp. 123-135, Jul. 2014.
[3] Rong Zhao and W. I. Grosky, "Narrowing the semantic gap - improved text-based web document retrieval using visual features," in IEEE Transactions on Multimedia, vol. 4, no. 2, pp. 189-200, Jun 2002.
[4] Xirong Li, Tiberio Uricchio, Lamberto Ballan, Marco Bertini, and Cees Snoek, " Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement, and Retrieval" in ACM Computing Surveys (CSUR), vol. 49, Jul. 2016.
[5] Karegowda Asha Gowda and Bharathi PT, "Enhancing CBIR Performance Using Evolutionary Algorithm-Assisted Significant Feature Selection: A Filter Approach" in International Journal of Applied Research on Information Technology and Computing, vol.7, pp. 53-59, May.2016.


Paper Type : Research Paper
Title : A Survey on Big Data Issues and Challenges
Country : India
Authors : Shivaraj Koti || Prof. Shivananda V.Seeri
: 10.9790/0661-1905027578      logo

Abstract: In the last few years there has been rapid growth of data being generated or produced in various ICT (information and communication technology) based organizational processes. Such huge data is being generated by all kinds of sources and applications such as social network services, cloud services and knowledge bases. The generated data often in the form of structured, unstructured and semi structured format, and is often processed using computing platforms such as heterogeneous clouds, hybrid architectures and Hadoop. Using these techniques we deal with the real time data such as sensing data, e-commerce data, business transactions and web logs, medical data and etc. Big Data Analytics is a multi-application predictive data analytic platform designed as a scalable and extensible prediction engine for Big Data. It uses all available information (internal/ public) to............

[1]. D. P. Acharjya, Kauser Ahmed P, Survey on Big Data Analytics: Challenges, Open Research Issues and Tools, School of Computing Science and Engineering, IT University Vellore, India, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 7, No. 2, 2016
[2]. World's data will grow by 50X in next decade, IDC study predicts. (2011, June 28) Retrieved from Computer World: http://www.computerworld.com/s/article/9217988/ World_s_data_will_grow_by_50x_in_next_decade_IDC_study_predicts.
[3]. Lenka Venkata Satyanarayan, Survey on Challenges and Advantages in Big Data, Dept. Of CSE, Aditya Institute of Technology and Management, Tekkali, AP, India, ICJCT Volume 6, Issue 2.

[4]. Changqing Ji,Yu Li,Wenming Qiu, Big Data Processing: Big Challenges and Opportunities, School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, Journal of Interconnection Networks Vol. 13, Nos. 3 & 4 (2012) 1250009 (19 pages). [5]. Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat, Big Data: Survey, Technologies, Opportunities, and Challenges, Mobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia


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