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International Conference on Computing, Communication & Automation (ICCCA)

作者： Pravesh Kumar Rani Astya Millie Pant Musrrat Ali Department of Mathematics Amity University Haryana Department of Applied Sciences and Engineering IIT Roorkee India Dept. Computer Science & Engg. IILM Greater Noida UP India School of Technology Glocal University Saharanpur India

ISBN: (纸本)9781509016679

In this paper a new variant named IUDE of Differential Evolution (DE) algorithm is presented. IUDE proposed an information utilization selection operation for DE algorithm. In order to check the performance, IUDE is implemented on 3 real life optimization applications, taken from literature. These problems are large scale in nature. The results show that the IUDE algorithm can deal effectively with these large-scale continuous optimization problems and also acts significantly better than other algorithms used in the comparison.

关键词： Optimization Sociology Statistics Next generation networking Frequency modulation Automation Standards

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Analytical approach for security of sensitive business database

International Journal of Database Theory and Application

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International Journal of Database Theory and Application 2015年第3期8卷 49-56页

作者： Gupta, Anusha Dubey, Sanjay Kumar India Department of Computer Science and Engineering in Amity School of Engineering and Technology Amity University Uttar Pradesh India

Sensitive database security is an integral part to meet the company's abeyance. Securing the sensitive data in mixed database environment has increased over the past few years. This paper conducts the literature review about providing solutions to secure all databases. This will help the users to know what all things are required to be protected when they are planning to protect the database. Sometimes in some of the business it requires highest level of security even if the performance is being compromised. So, this paper will help user to choose appropriate security mechanism to for the sensitive database according to their business requirement. A brief view of securing the network, server and operating system is also provided in the present paper. Aim of this research is to provide the security to sensitive data at all the three levels physical security, network security, information security from unauthorized user. © 2015 SERSC.

关键词： Network security

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Image encryption: Using AES, feature extraction and random no. generation

Image encryption: Using AES, feature extraction and random n...

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International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Akanksha Upadhyaya Vinod Shokeen Garima Srivastava Amity Institute of Information Technology Amity School of Engineering Computer Science Amity University WUST Shandong India

During data transmission, data can be transmitted in the form of text, image, audio and video, hence securing all kinds of data is most essential in today's era. Securing Image data is one of the major concern and a complex term. Various visual cryptographic techniques have been developed for confidentiality, authenticity and integrity of images during transmission and when it is received at other end. This paper proposes an Image encryption technique on the basis of 128-bit AES, Feature extraction and random no. generation. Applying AES in two levels and generating key on the basis of feature extraction makes the system more confidential and secure against cryptanalysis attacks.

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Gram Sandesh Transmission-a web based information system for farmers

Gram Sandesh Transmission-a web based information system for...

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International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Parv Gupta Rana Majumdar Mrigendra Kumar Nishant Chauhan Subhash Chand Gupta Information Technology Department Amity School of Engg. & Technology India Department of Computer Science & Engineering Amity School of Engg. & Technology India

This paper presents the experimentation done in order to flourish a low price and impressionable information system to provide useful information to farmers in a timely manner so as to assist their decision making process. The primary reason behind development of this system was to automate the flow of information to farmers since agriculture is the backbone of our country. Gram Sandesh Transmission is a web disciplined system which targets all sort of audience by means of its ios application (for iphone users),android application(for android users), messaging server(for basic mobile handset) and gsm based led boards (for those who don't owe a mobile handset). Farmers are provided with weather related information on daily basis so that necessary decision regarding sowing of seeds, weeding, harvesting, irrigation could be taken. The system warns with any disaster related information so that necessary steps could be taken. Another module of the system deals with providing “Sarkari Mandi Bhaav” (Govt. Market Price) and thus reduces the chances of fraud prices quoted by middleman to farmers.

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Gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain

Gray scale image watermarking using fuzzy entropy and Lagran...

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International Conference on Contemporary Computing (IC3)

作者： Ashok Kumar Yadav Rajesh Mehta Raj Kumar Department of Computer Science and Engineering Maharishi Dayanand University Rohtak India Department of Computer Science Amity School of Engineering and Technology New Delhi India

In this paper, the effect of low, middle and high frequency DCT coefficients are investigated onto gray scale image watermarking in terms of imperceptibility and robustness. The performance of Lagrangian twin support vector regression (LTSVR), which was successfully applied on synthetic datasets obtained from UCI repository for various kinds of regression problems by Balasundaram et al. [9], onto image watermarking problem, is validated by embedding and extracting the watermark on different standard and real world images. Also the good learning capability of image characteristics provides the good imperceptibility of the watermark and robustness against several kinds of image processing attacks verifies the high generalization performance of LTSVR. Through the experimental results, it is observed that significant amount of imperceptibility and robustness is achieved using low frequency (LF) DCT coefficients as compared to middle frequency (MF) and high frequency (HF) DCT coefficients as well as state-of-art technique.

关键词： Watermarking Discrete cosine transforms Entropy Robustness Support vector machines Frequency-domain analysis Machine learning algorithms

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Design of a Binary to BCD Converter Using 2-Dimensional 2-Dot 1-Electron Quantum Dot Cellular Automata

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Procedia computer science 2015年 70卷 153-159页

作者： Kakali Datta Debarka Mukhopadhyay Paramartha Dutta Department of Computer & System Sciences Visva-Bharati University Santiniketan West Bengal-731235 India Department of Computer Science Amity School of Engineering and Technology Amity University Kolkata West Bengal-700156 India

Among the emerging technologies in the nanotechnology domain Quantum-Dot Cellular Automata (QCA) is an important name. It overcomes the serious technical limitations of CMOS at the nano level In this article, we have used two-dimensional two-dot one-electron QCA cells to design a binary to BCD converter. We have justified our proposed design by determining the polarity of different cells including output cells using coulomb law to justify its effectiveness. Finally, we have discussed the issues related to energy and power dissipation in order to drive the proposed architecture.

关键词： QCA Majority voter Binary to BCD converter Coulomb's repulsion

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Lagrangian support vector regression based image watermarking in wavelet domain

Lagrangian support vector regression based image watermarkin...

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International Conference on Signal Processing and Integrated Networks (SPIN)

作者： Rajesh Mehta Virendra P. Vishwakarma Navin Rajpal Department of Computer science & Engineering Amity school of Engineering & Technology New Delhi India University School of Information & Communication Technology Guru Gobind Singh Indraprastha University New Delhi India

ISBN: (纸本)9781479959921

To enhance the imperceptibility and robustness against image processing operations, the advantage of artificial neural network (ANN) and machine learning algorithms such as support vector regression (SVR), extreme learning machine (ELM) etc. are employed into watermarking applications. In this paper, Lagrangian support vector regression (LSVR) based blind image watermarking scheme in wavelet domain is proposed. The good learning capability, high generalization property against noisy datasets and less computational cost of LSVR compared to traditional SVR and ANN based algorithms makes the proposed scheme more imperceptible and robustness. Firstly, four sub images of host image are obtained using sub sampling. Each sub image is decomposed using discrete wavelet transform (DWT) to obtain the low frequency subband. Low frequency coefficients of each sub image are used to form the dataset act as input to LSVR. The output obtained by trained LSVR is used to embed the binary watermark. The security of the watermark is enhanced by applying Arnold transformation. Experimental results show the imperceptibility and robustness of the proposed scheme against several image processing attacks. The visual quality of watermarked image is quantified by the peak-signal-to noise ratio (PSNR) and the similarity between the original and extracted watermark is evaluated using bit error rate (BER). Performance of the proposed scheme is verified by comparing with the state-of-art techniques.

关键词： Watermarking Boats Bit error rate Discrete wavelet transforms Robustness PSNR

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Affect detection in normal groups with the help of biological markers

Affect detection in normal groups with the help of biologica...

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IEEE India Conference (INDICON)

作者： Saikat Basu Arnab Bag Mahadevappa M Jayanta Mukherjee Rajlakshmi Guha Department of Computer Science and Engineering West Bengal University of Technology Department of Electronics and Electrical Communication Engineering Indian Institute of Technology Kharagpur School of Medical Science and Technology Indian Institute of Technology Kharagpur Department of Computer Science and Engineering Indian Institute of Technology Kharagpur Student Counselling Centre Indian Institute of Technology Kharagpur

Emotion Recognition always has been one of the key areas in human machine interaction, machine learning or affective computing. Two dimensional valence arousal model has been used here. In this paper, we present how simple emotion recognition can be done by measuring nine basic non-invasive Biological markers or physiological signals including BR [BReathing], ECG [ElectroCardioGram], EMG [ElectroMyoGram], GSR [Galvanic Skin Response], HR [Heart Rate], PR [Pulse Rate], RR [Respiration Rate], and ST [Skin Temperature] on thirty healthy subjects. Pictorial emotional stimuli categorized as High Valence High Arousal [HVHA], High Valence Low Arousal [HVLA], Low Valence High Arousal [LVHA] and Low Valence Low Arousal [LVLA] were shown using International Affective Picture System (IAPS) for approximately thirty minutes. Six features from each signal were extracted for analysis. Different types of classification algorithms like QDC [Quadratic Discriminant Classifier], kNN [k Nearest Neighbour], Naive Bayes and LDA [Linear Discriminant Analysis] were used in classification of data. Maximum accuracy around 75% for each classifier was obtained. Further improvements are required to make this more robust and to deploy commercially.

关键词： Electromyography Electrocardiography Support vector machines Emotion recognition Data acquisition Face Software

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Emotion Recognition Based on Physiological Signals using Valence-Arousal Model

Emotion Recognition Based on Physiological Signals using Val...

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International Conference on Image Information Processing

作者： Saikat Basu Nabakumar Jana Arnab Bag Mahadevappa, M. Jayanta Mukherjee Somesh Kumar Rajlakshmi Guha School of Medical Science and Technology Indian Institute of Technology Kharagpur and Department of Computer Science and Engineering West Bengal University of Technology Department of Mathematics Indian Institute of Technology Kharagpur and Department of Mathematics National Institute of Technology Meghalaya Department of Electronics and Electrical Communication Engineering Indian Institute of Technology Kharagpur School of Medical Science and Technology Indian Institute of Technology Kharagpur Department of Computer Science and Engineering Indian Institute of Technology Kharagpur Department of Mathematics Indian Institute of Technology Kharagpur Student Counselling Centre Indian Institute of Technology Kharagpur

ISBN: (纸本)9781509001491

This paper considers two dimensional valence-arousal model. Pictorial stimuli of International Affective Picture Systems were chosen for emotion elicitation. Physiological signals like, Galvanic Skin Response, Heart Rate, Respiration Rate and Skin Temperature were measured for accessing emotional responses. The experimental procedure uses non-invasive sensors for signal collection. A group of healthy volunteers was shown four types of emotional stimuli categorized as High Valence High Arousal, High Valence Low Arousal, Low Valence High Arousal and Low Valence Low Arousal for around thirty minutes for emotion elicitation. Linear and Quadratic Discriminant Analysis are used and compared to the emotional class classification. Classification of stimuli into one of the four classes has been attempted on the basis of measurements on responses of experimental subjects. If classification is restricted within the responses of a specific individual, the classification results show high accuracy. However, if the problem is extended to entire population, the accuracy drops significantly.

关键词： Emotion recognition Physiological signals Autonomic Nervous Systems (ANS) emotion recognition Arousal Valence Emotions signal collection Research Subject skin temperature (non-biological) Skin Temperature Stimuli

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Release time determination depending on number of test runs using multi attribute utility theory

Release time determination depending on number of test runs ...

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作者： Kapur, P.K. Khatri, Sunil Kumar Tickoo, Anshul Shatnawi, Omar Amity International Business School Amity University Uttar Pradesh Noida India Amity Institute of Information Technology Amity University Uttar Pradesh Noida India Amity School of Engineering Amity University Uttar Pradesh Noida India Department of Computer Science Najran University Najran Saudi Arabia

To achieve competitive success in software industry, technological innovation is very important. Due to stiff competition, the software developers are trying very hard to survive in the market by adding some new features to the existing software. A most effective way of handling software development method is to go version-by-version. This stepwise release is termed as multi-release of a software product. Due to demand of new features and highly reliable software system, the software industries are speeding their up-gradations/add- ons in the software. An important decision problem that the management encounters is to determine when to stop testing and release the software system to the user. Such a problem is known as "Software Release Time Problem". We propose an optimization problem of determining the optimal time of software release based on goals set by the management in terms of cost, reliability and failure intensity etc. subject to the system constraints. To trade-off between two conflicting objectives cost and reliability, multi-attribute utility theory is applied in our decision model. A continuous time model has limitations in its application on many real life applications having discrete time data. Due to this reason, in this paper a discrete model is proposed to determine the software release time, using a discrete logistic function and an exact solution is obtained using probability generating function. A numerical illustration is provided towards the end of the paper. © 2014 The Society for Reliability engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of technology, Sweden.

关键词： Economic and social effects

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