iosr-JCE   Volume-17 ~ Issue-3 ~ May-June 2015

Abstract: The authors created a Bicycle Design Approach Model Based on Fashion Styles as a means of supporting idea generation for product development that takes into account customer sensibilities, and the effectiveness of this model was then verified. Specifically, an eye-tracking camera was used to analyze line of sight and discover the areas of a bicycle's exterior design that caught customers' attention. Next, preference studies were conducted and the results were analyzed using statistical science to identify subjective words that match four fashion styles. Rough Set Analysis and Quantification Theory Type I were used to analyze the findings and determine the extent of influence of each design element with respect to the subjective words, thus making it possible to create bicycle designs that match the preferences of each fashion group. The effectiveness of the proposed model in supporting idea generation during actual bicycle design and development was then verified.

Keywords: bicycle exterior design, Bicycle Design Approach Model, Fashion Styles

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Abstract: In this paper, secure based novel clock synchronization in wireless sensor network for event driven measurement application is proposed with security. The main objectives are 1) To provide high accuracy in the area where an event is detected 2) To ensure long network lifetime 3) To ensure security based packet transmission. The complexity of a problem arises from first two properties that usually in clash. To increase the synchronization accuracy, the nodes are required to transfer synchronization packets at higher rate thus impacting the network lifetime.

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Abstract: The improvement of wireless sensor network has offered move to public sensing as it is vibrant sharing model. This creative energy can be clarified under the Internet of Things (IoT) to adopt different information sources inside shrewd urban areas, such as sensors on roads, buildings, radio frequency identifier tags (RFID), cell phones and living spots. Sensor system incorporated with enormous number of nodes where every nodes need to communicate with other node at whenever state of the link changes. Link state (LS) routing protocol directly floods announcement of change in any join's status to each router in the network and Distant Vector (DS) routing uses ceaseless appropriation of current guide of whole system's topology for all switches.

[1]. Ashraf E, Al- Fagih (member, IEEE) Fadi M. Al-Turaman (member, IEEE), Waleed M, Alsalih and Hossam S, Hassanein (senior member IEEE): A priced public sensing for heterogeneous IOT Architecture.
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Abstract: Free and open source technology has gained a tremendous importance in software development due to its low cost and holds numerous other compelling advantages both from the perspective of software user and software developer. J2EE and PHP technologies have availed a highest market share. All types of web sites ranging from medium to large sized applications employing these technologies include ample master tables for storing data which are subject to seldom changes. In application development, there is a lot of code repetition in manipulation of data stored in these tables.

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Abstract: Dimensionality reduction is a key data-analytic technique for mining high-dimensional data. In this paper, we consider a general problem of learning from pairwise constraints in the form of must-link and cannot-link. As one kind of side information, the must-link constraints imply that a pair of instances belongs to the same class, while the cannot-link constraints compel them to be different classes. Given must-link and cannot-link information, the goal of this paper is learn a smooth and discriminative subspace.

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Abstract: The digital images are becoming important part in the field of information forensics and security, because of the popularity of image editing tools, digital images can be tampered in a very efficient manner without leaving any visual clue. As a consequence, the content of digital images cannot be taken as for granted. Therefore it is must to create forensic techniques which is capable of detecting tampering in image. In general, the image forgery technologies often utilizes the scaling, rotation or skewing operations to tamper some regions in the image, in which the resampling is demanded. Forged area is often resized & rotated to make it proportional with respect to neighboring unforged area. This is called as resampling operation which changes certain characteristics of the pasted portion.

[1]. P. Sabeena Burvin, P.G. Scholar and J. Monica Esther, "Analysis Of Digital Image Splicing Detection," IOSR Journal Of Computer Engineering (IOSR-JCE), ISSN: 2278-0661, Vol. 16, pp.: 10-13, Issue No. 2, Ver. Xi, April 2014.
[2]. P. Subathra, A. Baskar and D. Senthil Kumar, "Detecting Image Forgeries Using Re-Sampling By Automatic Region Of Interest (ROI)," Ictact Journal On Image And Video Processing, ISSN: 0976-9102, Vol. 02, pp.: 405-409, Issue No. 04, May 2014.
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[4]. Sanawer Alam and Deepti Ojha, "A Literature Study on Image Forgery," International Journal of Advance Research in Computer Science and Management Studies, ISSN: 2321-7782, Vol. 2, pp.: 182-190, Issue No.10, October 2014.
[5]. Kusam, Pawanesh Abrol and Devanand, "Digital Tampering Detection," Bijit - Bvicam's International Journal of Information Technology and Bharati Vidyapeeth's Institute Of Computer Applications and Management (BVICAM), ISSN: 0973 – 5658, Vol. 01, pp.: 125-132, Issue No. 2, December 2009.

Abstract: Stock Market is considered as one of the fundamental pillars of national economy, as the important purpose of stock market in the economy is to raise capital and also to transfer funds to the most profitable opportunities, Therefore Predicting Stock Price, Predicting Timing and Selection of Portfolio are considered as several extremely complex situations in stock market. because, they are affected by many interrelated economic, social, political and even psychological factors at both local and global levels and all these factors are interrelated with each other in a very critical manner, These makes use of Mathematical Approaches & Soft Computing techniques combinely.

[1]. thereformedbroker.com/.../10-things-you-need-to-know-about-indias-stock Market
[2]. http://en.wikipedia.org/wiki/National_Stock_Exchange_of_India
[3]. State of the Art in Stock Prediction Techniques by J.G.Agrawal , Dr. V.S. Chourasia, Dr,A.K.Mittra ,April 2013
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[5]. http://en.wikipedia.org/wiki/Soft_computing
[6]. Jin-Cherng Linet. al.

Abstract: Conventional classifiers have several outputs equal to the number of classes (N) which imposes so much complexityto the classifiers,both in training and testing stages. Instead of using one extra-large and complicated classifier, we created N number of simple binary Recurrent Neural Network with true/false outputs. Each network is responsible of recognizing its own trained class.We also proposed adecision layer added to each network, making a final decision from a sequence of outputs. We test our system on features extracted from Iranshahr database, which is a set of 17,000 black-and-white handwritten images of Iranian city names. Experimental results authenticate the effectiveness of the proposed method.

Keywords: Recurrent Neural Network,RNN, Classifier, Binary Network

[1] Kumawat, P.; Khatri, A.; Nagaria, B., "Comparative Analysis of Offline Handwriting Recognition Using Invariant Moments with HMM and Combined SVM-HMM Classifier," Communication Systems and Network Technologies (CSNT), 2013 International Conference on , vol., no., pp.140,143, 6-8 April 2013.
[2] Maqqor, A.; Halli, A.; Satori, K.; Tairi, H., "Off-line recognition handwriting Arabic words using combination of multiple classifiers," Information Science and Technology (CIST), 2014 Third IEEE International Colloquium in , vol., no., pp.260,265, 20-22 Oct. 2014
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Abstract: Today in this digital era everything (data) can be digitized and can be transmitted over the communication networks. But not withstanding with this advantage it also has a downside i.e. the digitized data can be easily accessed illegally, it can be tampered with and copy. The issue of providing security to the information has become increasingly important with the development of computer and expanding its use in different areas of one's life and work[4]. One of the grounds discussed in information security is the exchange of information through the cover media. In this, different methods such as cryptography, steganography, etc., have been used. Many approaches were introduced for making the data secure. But the efficient utilization of those approaches isn't defined i.e. which approach to be used according to the situations.

[1]. Monika Agarwal "Text Steganographic Approaches: A Comparison" of International Journal of Network Security and its Appications ,Vol.5.No.1,Janauary 2013.
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Abstract: Tracking and traffic monitoring are main application of moving Object detection in video. This paper presents SURF (Speed-Up Robust Features) algorithm and real-time detection of objects using frame difference. The main purpose of this proposed work is to solve the difficulty of modeling background and its update rate in background subtraction method. SURF is having fast processing technique to find features of an object image in real-time and then by using this algorithm we will compare object image features with our real-time object image features. After that match object image features and real-time features.

Keywords: Background subtraction, Feature Extraction, SURF algorithm

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