Volume 6 | Issue 2

 Abstract

ABSTRACT: In the current scenario where we are using 3G and 4G technologies for communication purposes the Mobile Ad Hoc Networks (MANETs) are generating a lot of interests. The next generation of mobile communications will include both prominent infrastructure wireless networks (3G, 4G) and novel mobile ad hoc networks. It is a collection of portable wireless nodes that can dynamically form a network to exchange information without using any pre-existing fixed network infrastructure. This allows portable mobile devices to establish a communication path without having any central infrastructure. Since there is no centralized infrastructure in the MANET and the mobile devices are moving randomly, they may give rise to various kinds of problems, such as energy efficient and multicast congestion control. This paper describes the primary problems of ad hoc networking by giving its related research background. Some of the technical challenges it poses are also presented, based on which the paper points out some of the key research issues for ad hoc networking technology that are expected to promote the development and accelerate the commercial applications of the MANET technology. Special attention is paid on network layer routing strategy and key research issues include new X-cast routing algorithms, security & reliability schemes, QoS model, and mechanisms for interworking with outside IP networks.

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KEYWORDS: Mobile Communications, Wireless Networks, QoS, Ad-hoc Networking, Pervasive Computing, Routing Algorithm, Multicast, Unicast, congestion

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Abstract-Detecting review spam is important for current e-commerce applications. However, the posted order of review has been neglected by the former work. In this paper, we explore the issue on fake review detection in review sequence, which is crucial for implementing online anti-opinion spam. We analyze the characteristics of fake reviews firstly. Based on review contents and reviewer behaviours, six time sensitive features are proposed to highlight the fake reviews. And then, we devise supervised solutions and a threshold-based solution to spot the fake reviews as early as possible. The experimental results show that our methods can identify the fake reviews orderly with high precision and recall

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Spotting Fake Reviews

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Abstract: Besides quantity, the quality of power is also equally important. Poor power quality decreases the efficiency and misoperation of electrical and electronic devices, this may result interrupted electrical power supply. Due to recent development of electronics and computer based automated and smart devices in every field e.g. medical, bank, industry, quality of power becomes more and more important as these devices require best power quality. Power quality mitigation becomes very important as we cannot avoid the nonlinear loadings and many more issues which is responsible for poor power quality. In this paper various power quality mitigation techniques are discussed such as Distribution Static Synchronous Compensator (DSTATCOM), Static VAR Compensator (SVC), Dynamic Voltage Restorer (DVR) and Unified Power Quality Compensator (UPQC) for the improvement of power quality in manufacturing industries. Recent developments in mitigation techniques are also discussed. Different techniques are explained in chronological order. Impacts of different techniques for different disturbances are also mentioned

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Index Terms: Dynamic Voltage Restorer (DVR), Unified Power Quality Conditioner (UPQC), Distribution Static Compensator (DSTATCOM), Transient Voltage Surge Suppressors (TVSS), Voltage Regulators, Uninterruptible Power Supply (UPS) Solid State Breaker, Static Current Limiter

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Abstract: Cloud computing has enabled businesses to infinitely scale services based on demand while reducing the total cost of ownership. It provides a multitenant feature that enables an IT asset to host multiple tenants, improving its utilization rate. The feature provides economic benefits to both users and service providers since it reduces the management cost and thus lowers the subscription price. Security concerns are mainly driven by the Multi-Tenancy situation which refers to resource sharing in Cloud Computing and its associated risks where confidentiality and/or integrity could be violated. As a result, security concerns may harness the advancement of Cloud Computing in the market. So, in order to propose effective security solutions and strategies a good knowledge of the current Cloud implementations and practices, especially the public Clouds, must be understood by professionals. To cope with that, this paper introduces techniques, with which it identifies technical issues on enabling multitenancy

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Abstract : In this paper, color histograms, texture using wavelet transform and shape feature using thresholding is used to retrieve images from the database .The database includes 500 images of five different categories. Moreover success of this content based image retrieval depends on the method used to create feature vector and relativity measure, the accuracy of wavelet transform engaged. Retrieving images can be increases the accuracy of the system based on color, feature and shape relativity. For relativity measure between the database images and query image Mahalanobis, Minkowiski, Chebyshev, Cosine Relativity, Spearman correlation are used ,at the end aggregation of mean and relative deviation is done and aggregation is then arranged in increasing order i.e. minimum to maximum. This Arranging order shows images having minimum values are more accurate retrieved image. The Proposed system can better the retrieval accuracy that has been shown by the experimental results. The system is tested on 500 images of five different categories downloaded from the internet.

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Index Terms - Histograms, Support Vector Machine; Mahalanobis, Minkowiski, Chebyshev, Cosine Relativity, Spearman correlation

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Abstract: Wireless communications is the transferring of information between two or more points which are not physically connected. Wireless mobile communication is being used from many years, but day by day Need of facilities on mobile is increasing, so time to time next integrated Versions of network is introduced. Distances can be short, which is used for television remote control and even far distance which is used for deep-space radio communications. Latest version is 5G, but only some countries are using 5G wireless network. 5G network is strong and very fast wireless communication network, it is and it will fulfill most of the requirement of users. But it is not end of the desires, the paper deals with the evolutions of technologies and its advantages and meet desires of user next generation of mobile network also introduced 6G. This paper is about introduction and advancement of 6G & 7G for future.

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Keywords: 1G, 2G, 3G, 4G, 5G, 6G, Handover, TDMA, CDMA, GSM, smart antenna

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ABSTRACT In the present study the main emphasis is on performance measures of computer network giving prime importance to average packet delay and packet loss occurring in delivering a packet from source to destination in high speed traffic, the prominent factors in data communication. The study focuses on developing models employing queuing theory as a tool for the integrated digital networks, which are used to integrate multiple input channels (like voice, data, images, video etc.) into single transmission line and make the Network as high- speed data network. The queuing theory is applied as a primary tool for analyzing the network delay. The use of queuing models for delay analysis provides a basis for adequate delay approximations, as well as valuable qualitative results worthwhile insights for the performance evaluation of high speed data networks

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Keywords : ATM, BISDN, Queuing Model, Cell Loss Ratio, Weighted Fair Queuing.

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ABSTRACT: Data mining has gained popularity in various CRM applications in recent years and classification model is an important data mining technique useful in the field. The model is used to predict the behaviour of customers to enhance the decision-making processes for retaining valued customers. This paper presents the frameworks of data mining in relations with the customer relationship management, the computer-assisted application process of digging through and analyzing enormous sets of data that have either been compiled by the computer or have been inputted into the computer gain attentions of the industrial houses. In data mining, the computer will analyze the data and extract the meaning from it. It will also look for hidden patterns within the data and try to predict future behavior. In this paper we will be discussing the relationship of data mining and CRM and Data mining framework and CRM and how it reveals benefit for better CRM practices

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Keywords: Data Mining, Model, Customer Relationship Management

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Abstract: Reversible information covering up is a strategy that is utilized to shroud information inside a picture. The information is covered up such that the correct or unique information isn't obvious. The concealed information can be recovered as and when required. There are a few strategies that are utilized as a part of reversible information concealing methods like Watermarking, Lossless inserting and encryption. In the information covering up in encoded pictures we implanted the information in the scrambled picture and afterward after we utilize a few calculations for instance Randomized XOR system, Flipping bit procedure, Bit length exhausting strategy, Modified SCAN calculation. By utilizing every one of these systems we accomplish the lossless picture and the first information. We likewise utilize the pixel rearranging strategy for enhancing the security of our information and we utilize the idea of piece smoothness for enhancing the entropy of the picture or we can state the irregularity of the picture. So we can state that we accomplish the reversible information

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Index Terms -Flipping bit technique, Bit length expanding technique, SCAN algorithm, Stenography, Cryptography, Watermarking

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Abstract: Data Mining is the process of extracting hidden knowledge, valuable trends and pattern from enormous databases which is used in organization for decision- making determination. There are numerous data mining techniques like clustering, prediction, outlier analysis, classification and association rule mining. Clustering shows a significant role in data mining process. This paper emphasis about clustering approaches. There are various applications where clustering approaches is used. Clustering is the method of assigning data sets into different groups so that data sets in same group having similar behaviour as compared to data sets in other groups. This paper deliberates about various clustering approaches. It also describes about various pros and cons of these approaches. This paper also emphases on comparative analysis of various clustering approaches.

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Keywords: Clustering, Density based Methods (DBM), Data Mining (DM), Grid Based Methods (GBM), Partition Methods (PM), Hierarchical Methods (HM),

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ABSTRACT Fiber Reinforced Concrete can be defined as a composite material consisting of mixtures of cement, mortar or concrete and discontinuous, discrete, uniformly dispersed suitable fibers. . It contains short discrete fibers that are uniformly distributed and randomly oriented. In order to achieve the desired goal, different dosages of steel fiber (0.5%, 1%, 1.5% & 2%) in the concrete grade of M-40.According to the results of experimental study, it is concluded that with the addition of steel fibers, The concrete mix M2, M3 M4 and M-5 shows percentage increment in compressive strength by 4.86%, 9.34%, 11.64% and 18.76% at 7 days of curing period with respect to concrete mix M1. The compressive strength by CTM (destructive testing technique) is found to increase with increase in percentage of steel fibers in the conventional concrete. The concrete mix M2, M3 M4 and M-5 showed increment in compressive strength by 4.54%, 7.32%, 9.08% and 11.72% at 28 day of curing period with respect to concrete mix M1. Tensile strength of cylinder specimen is maximum at 2% of steel fibers which having strength of 3.18 and 4.69 Mpa after 14 and 28 days respectively. Percentage increase for 2% steel fiber of 14 and 28 days is 25.19% and 18.43% respectively.Maximum flexural strength after 28 days is 10.43 MPa. Percentage increase for 2% of steel fiber is 13.36% as comparison to M-1 mix so it can be analyse that this variation of steel fiber is good for flexural strength of concrete. This experimental study shows that the steel fibers improve the properties of the conventional concrete and it enhances the tensile strength of concrete. 1. INTRODUCTION

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Steel Fibre CTM

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Index Terms - Index Terms: - clone attack, RED, witness distribution, oblivious, performance, WSN

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Index Terms - Wireless Sensor Network, Residual Energy, Clustering & Neighbour Weight

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Abstract : In this paper, color histograms, texture using wavelet transform and shape feature using thresholding is used to retrieve images from the database .The database includes 500 images of five different categories. Moreover success of this content based image retrieval depends on the method used to create feature vector and relativity measure, the accuracy of wavelet transform engaged. Retrieving images can be increases the accuracy of the system based on color, feature and shape relativity. For relativity measure between the database images and query image Mahalanobis, Minkowiski, Chebyshev, Cosine Relativity, Spearman correlation are used ,at the end aggregation of mean and relative deviation is done and aggregation is then arranged in increasing order i.e. minimum to maximum. This Arranging order shows images having minimum values are more accurate retrieved image. The Proposed system can better the retrieval accuracy that has been shown by the experimental results. The system is tested on 500 images of five different categories downloaded from the internet

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Index Terms - Histograms, Support Vector Machine; Mahalanobis, Minkowiski, Chebyshev, Cosine Relativity, Spearman correlation

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Index Terms: Computer Vision, MS Tracker, Local Binary Pattern (LBP), Object Tracking, Histogram, Intensity, Edge, Color, Uniform Pattern (Up)

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Textual Features Rating Features

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Abstract: In this paper we consider EOQ model with constant deterioration rate and selling price & time dependent demand. We considered holding cost as inventory dependent. Shortages are not allowed. Mathematical formulation is provided to find the optimal solution. We show total profit is a convex function with respect to cycle time. Numerical examples and sensitivity analysis are given to validate the proposed model in the paper.

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Key words: Selling price, Deterioration rate, EOQ model, holding cost, Time dependent, Inventory

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Abstract: Energy efficiency is one of most important parameter to consider while designing the wireless sensor networks. In this paper, we proposed robust energy management routing scheme based on two methods using artificial neural network (ANN). First is Most Significant Sensor Node prediction and another is Group Head selection. We discuss both of these problems in any WSN and seek possible solutions using neural networks, which will actually use to determine the shortest routing path in any WSN for minimizing the energy consumption. Usually WSNs life-time ends by having a single sensor node which uses all its energy and the other sensors consuming the remaining energy. This sensor (which is the cause of the networks end of lifetime) is most likely located in a very significant sensor node which always is in the routing path of many nodes to the base station. By predicting these significant nodes, it is possible to allocate tasks to the nodes in a more efficient way and thus increase the lifetime of the network. Selecting Group Heads amongst all the nodes is also energy conserving scheme for a WSN is proposed herewith. Sensor nodes are initially powered by batteries with full capacities. Each sensor collects data which are typically associated with other sensors in its neighborhood, and then the associated data is sent to the Base Station through Group Head for evaluating the tasks more efficiently. The following sections describe briefly energy saving scheme for network life time optimization, the experiments performed and results achieved in this work, and the main conclusions drawn from our experimental results.

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Index Terms- Wireless Sensor Network (WSN), Artificial Neural Network (ANN), Feed Forward Network (FFN), Base Station (BS)

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Key words- Design, Estimation, source, renewable and radiations

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Abstract In this paper, an edge cracked rectangular specimen subjected to symmetric three-point bending and asymmetric four point bending were used to determine the mode I and mode II fracture toughness of walnut particulate and coconut fibre reinforced biocomposite. Epoxy resin was used as matrix material and 10 wt % of coconut fibre and 20 wt % of walnut shell content were as reinforcing material. Scanning electron microscopy (SEM) shows that the walnut particles were well dispersed in the epoxy resin matrix. Addition of walnut particles increased the modulus of elasticity of the bio biocomposite. The fracture toughness (KIC) and mechanical test were conducted in a servo hydraulic universal testing machine and the results were analysed and discussed.

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Keywords: Fracture Toughness, Biocomposites, Walnut particle, Coconut fibre, SEM

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