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International Journal of New Technology and Research

Impact Factor 3.953

(An ISO 9001:2008 Certified Online Journal)
India | Germany | France | Japan

Volume 1 Issue 6

S.No. Title & Authors Page No View

Title : Improving Genetic Algorithm Operators for Analyzing Anomalous Behavior of Online Customers

Authors : Morteza Talebi

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Nowadays, banks and financial institutes have experienced a transition toward electronic banking leading to larger number of customers and huge amount of transactions. As a result of these changes new issues and challenges emerge which necessitate deep investigation of data. One of these challenges is examining customers’ behavior and identifying anomalies so that fraud could be detected. On the other hand, exact investigation of huge transaction data is not possible using conventional methods. Therefore, financial institutes are seeking for novel solutions enabling them to detect anomalous behaviors rapidly. In this paper a novel solution is proposed based on data mining and artificial intelligence. For this purpose, fuzzy expert systems and genetic algorithm are utilized. First off, data collected from transactions are analyzed to extract behavioral features. Afterwards, these features are converted to fuzzy rule base of the proposed fuzzy expert system. Subsequently, the resulted fuzzy rules are optimized using genetic algorithm. In the proposed genetic algorithm, crossover and mutation operators are defined in fuzzy form which significantly improves their efficiency and convergence speed.


Title : Piezoelectric Energy Harvesting via Shoe Sole

Authors : Ashish Gupta, Asharfilal Sharma

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This paper present the experimental design of an energy harvesting system using active materials for power generation from the shoe sole. The active material as PZT has been employed and modified to be appropriately embedded in the shoe sole. When the mechanical pressure is applied to the embedded shoe sole while walking would extract mechanical vibration energy and convert extracted energy to electrical energy directly from the piezoelectric structure inserted in shoe sole via a rectifier to a power processing system. The power processing system regulates the harvested electrical energy and accumulates the generated electrical energy to sufficient voltage level for powering portable electronic devices for later use. In this paper we show the simulation and experimental results of energy harvesting circuit and efficiency of the extracted ambient vibration energy by PZT in terms of electrical voltages during single step and continuous walking for a period of time.


Title : Using Fuzzy Rules in Identifying Cybercrime in Iranian Banking System

Authors : Omran Alipour, Saeid Khalilpour

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Similar growth of security and information technology and non-slot between these two subjects are factors of comfort in human societies. Therefore, base on evidences, with popularity and prevalence of using internet, cybercrime increases everyday because of failure of achieving balanced growth points, so that methods of attacks and fraud have become more complex. Therefore, security of cyberspace is major concern of banks, corporations and insurance companies. The main goal of this paper is using fuzzy algorithm and recommending effective system’s cybercrime identification. Proposed frameworks, identifies and reports suspected cases in two levels. First level is analysis of user information and second one is detecting wrong warnings.


Title : Carbon Emission Cost Affects Location Decision: CO2 Efficient Area Yields to the Less Efficient

Authors : Jiashi Liu, Zhongliang Guan, Wen-Chyuan Chiang, Xiang Xie

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Due to the global warming problem, it is more urgent than ever to take carbon emission problem seriously. It is needed to take carbon emission cost into consideration. Gravity method is used to do location selection. Three aspects of work have been done. First, the carbon emission cost of a certain kind of truck is calculated. Second, the comparison between considering and not considering carbon emission is done. Third, a distance parameter is added to transfer straight-line distance to real distance. The research gets the result in two cases: case 1 single mode transportation tools are used, the best site has no changes with total cost rising; case 2 multi-mode transportation tools are used, the best site coordination has changed with cost rising in general except extraordinary case. At the end, we show the application of the model. The carbon emission cost affects the location modeling, the cost like carbon dioxide tax will drive the location center to move a little bit in the direction of the CO2 efficient area towards less efficient area. 


Title : Survey on Optimization Methods For Spectrum Sensing in Cognitive Radio Network

Authors : Payal Mishra, Mrs. Neelam Dewangan

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A cognitive radio is a capable Technology, which has provided a great innovation in wireless communication system as to improve the efficiency of the electromagnetic spectrum utilization in wireless network. The technology allows unlicensed user or secondary user to use the vacant spectrum of licensed user through dynamic channel assignment strategies to improve the spectral utilization and hence cognitive radio avoids spectrum shortage. Cooperative sensing is one of the fastest growing areas of research and it is likely to be a key enabling technology, for efficiently spectrum sensing in future. For this several spectrum sensing are available, which can detect the white spaces or spectrum holes and share them to the secondary user without interfering with the movement of licensed user. In order to reliably and swiftly detect spectrum holes in cognitive radios, optimization must be used. In this paper we study different optimization for spectrum searching and sharing and also compare this optimization on the basis of probability of total error on fading channel.


Title : The Internet Use and Community Involvement in Tehran Iran

Authors : Nader Razeghi ,Seyedeh Zeinab Taghavi

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This is exploring the impact of the internet on local community involvement in Tehran, Iran. It investigates how the internet changes community involvement and argues that the Internet has created new forms of community involvement instead of local community involvement. This study has employed quantitative research methods. The sample for this research was drawn from the population of Internet users, namely people who accessed and used the Internet in Tehran, Iran. The results of the study indicate that there was no significant correlation between the amount of Internet use and local community involvement. People who spend more time online (high Internet user) do not have a greater local community involvement than people who use Internet less of the time. By contrast in terms of type of Internet use and social capital the study found that people who used the Internet for local news and reading newspapers online were more involved in the local community. The study illustrated that the Internet encourages people to some extent to become involved in the national or global community. 


Title : Estimation of The Relationship Between The Travel Time of Flood Peaks and Peak Discharge on The Poprad River by Multilinear Flood Routing

Authors : Michaela Danacova, Jan Szolgay, Roman Vyleta

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The empirical relationship between travel-time of flood peaks and peak discharge was studied on a reach of the Poprad River in Slovakia. The data were fitted by regression and compared with the expected shapes as described in the literature. Further a chain of linear segments has been considered as the model of that relation. The number of segments parameters and the angles between theses in this piecewise linear model were fitted by optimisation of a conceptual multilinear flood routing model performance on a large flood wave with the help of a genetic algorithm. In the setup of the multilinear model the travel-time parameter of the model was allowed to vary with discharge according to the piecewise linear model of the travel time of flood peaks. The discrete state space representation of the Kalinin-Miljukov model was used as the basis for a multilinear discrete cascade flood routing model. The resulting relationship was compared with empirical data on travel times and used to model the variability of the time parameter in the discrete state space representation of the Kalinin and Miljukov model on three verification floods. The modelling results showed that the inclusion of empirical information on the variability of the travel-time with discharge even from one flood enables satisfactory accuracy for the prediction of the flood propagation process.


Title : Characterisation of Dominant Chromate Reducing Bacteria in Soils Surrounding Tannery Industries

Authors : Mabel Joshaline.C, Ponlakshmi. M, Jenifer.G

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Objective: To investigate  the dominant bacterial isolates in the soil surrounding the tannery industries capable of chromate reduction. Methods: Plate count method to isolate bacteria from soil. Biochemical charcterisation of the bacteria by routine identification methods by bergy’s method and determining their chromate reduction potency by dilution plating technique. Results: Four dominant bacterial isolates were identified from the collected soil samples. .Biochemical identification protocol infers the four isolates to be Pseudomonas, Bacillus, Enterobacter and Kelbsiella.  The highest concentration of Cr(VI) was reported as 250µg/ml.


Title : Statistical Analysis of Genomic Information: Correlations Exist in Potential Relevance to the Pathogenesis of Alzheimer Disease

Authors : Tong-han Lan,Zi Yang Lan , Xiao Li,Hao Cai

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In this paper the detrended fluctuation analysis (DFA) method is introduced to characterize the self-similarity of DNA sequences. Using this method, four whole genomes of the pathogenesis of Alzheimer Disease provided by NCBI are analyzed. The correlation properties in the nucleotide density distribution among these DNA sequences are explored. Calculating the sample DFA exponent based on seven different mapping rules corresponding to four different pathogenesis of Alzheimer Disease, DFA exponent α is significantly larger than 1.5. The main outcome of this study reveals existence of the correlation in the pathogenesis of Alzheimer Disease. This result points to need a new direction for analyzing and understanding the intrinsic structures of DNA sequences. 


Title : Loyalty: From Single-Stage Loyalty to Four-Stage Loyalty

Authors : Mohammad Javad TaghiPourian , Mahsa Mashayekh Bakhsh

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In today’s competitive world, customers are at the center of companies’ attention. Customer loyalty is a pivotal element of gaining competitive advantage. The creation of customer loyalty is a concept that contemporary businesses have paid significant attention to it. Despite the abundant of studies done on one-dimensional loyalty and two-dimensional loyalty (behavioral and attitudinal), there unfortunately exist few number of studies on loyalty with three or four dimensions. As a result, there is insufficient amount of literature in this regard. In this study, therefore, an investigation of the evolution of loyalty throughout time, from one dimension to four dimensions, is carried out together with a definition of the concept.