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ijmcs  IJMCS

Volume-5 & Issue-5 Published (Acceptance Ratio=27.27%)http://www.ijmcs.info/current_issue

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Volume-5 & Issue-4 Published (Acceptance Ratio=47.36%)http://www.ijmcs.info/current_issue

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Volume-5 & Issue-3 Published (Acceptance Ratio=38.88%)http://www.ijmcs.info/current_issue

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Volume-5 & Issue-2 Published (Acceptance Ratio=25%)http://www.ijmcs.info/current_issue

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Submit your Paper Last date 20th June 2017 http://www.ijmcs.info/submit_your_paper

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Volume-5 & Issue-1 Published (Acceptance Ratio=28.94%)http://www.ijmcs.info/current_issue

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Volume-4 & Issue-5 Published (Acceptance Ratio=41.42%)http://www.ijmcs.info/current_issue

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Volume-4 & Issue-4 Published (Acceptance Ratio=54.02%)http://www.ijmcs.info/current_issue

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Volume-3 & Issue-2 Published (Acceptance Ratio=34%)http://www.ijmcs.info/current_issue

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Submit your Paper Last date 10th October 2015 http://www.ijmcs.info/submit_your_paper

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Volume-2 & Issue-6 Published (Acceptance Ratio=69.56%) http://www.ijmcs.info/current_issue

ijmcs  IJMCS October

Volume-2 & Issue-5 Published (Acceptance Ratio=45.94%) http://www.ijmcs.info/current_issue

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ijmcs  IJMCS

Volume-2 & Issue-4 Published (Acceptance Ratio=25%) http://www.ijmcs.info/current_issue

ijmcs  IJMCS

National Conference on (Advances in Modern Computing and Application Trends) Organised By Acharya Institute of Technology Bangalore, India

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  • http://www.acharya.ac.in/Techman_2014.pdf

    Volume-5 Issue-3(June 2017)
    Title: A Survey on Beenish Protocol of Wireless Sensor Networks
    Authors: Jitesh and Varsha
    Abstract: Wireless sensor networks are the networks that help in communication between devices without any specific infrastructure present to do so. The basic idea behind wireless sensor network is spontaneous formation of network without any need of prior infrastructure, and when the nodes (users) within the sensor networks are allowed to move freely then that network is basically known as wireless sensor networks. The main work is to improve the network lifetime of network. So clustering is the most useful technique to improve the network lifetime and make it energy efficient. Here, in this paper we work on beenish to make it so advance by making it more energy efficient using clustering algorithm.
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    Title: An Approach to Use Authorizing Tools in Content Management Systems In E-learning
    Authors: Parimala.S
    Abstract: Ever since the initiation of IT, Content Management Systems (CMS) came into survival in various forms such as system usage, software tools, breaking up of authorizing systems etc. A CMS (Content Management System) is an application system to create, edit, and modify the contents, and bring it an appealing way. There are numerous Content management tools available. The challenge is to use those obtainable CMS tools in an appropriate way with appropriate platform. The tool gives more flexibility to the developers and designers to create, develop, edit and publish in their own preferred and customized style. CMS can be attained as an open source software and it is easy to download and install free at cost. The real challenge for organizations is therefore to fabricate information and proficiency in content management. The organization must able to answer which features are broadly available and what are the challenges to be faced to put into practice by the products in CMS. In this paper comparison of Word Press, Joomla and Drupal are discussed. Learning Management System (LMS) provides a platform to develop and use the CMS. This paper enlightens the diverse of Content management tools that are available.
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    Title: Evaluate and Propose Fault Detection Technique from Test Cases in Software Testing
    Authors: Pushpinder Kaur Sidhu and Dr. Neeraj Mohan
    Abstract: The software engineering is the technology to process the software and perform various operations on that software. Testing is the important application of software engineering in which test cases are applied to detect faults from the software. In the recent times, it has been analyzed that faults may also arise in the test cases which are used for the fault detection. In this work, Rank-to-learn algorithm has been applied for the detection of faults from the software. To improve the performance of Rank-to-learn algorithm in terms of fault detection rate, the technique of back propagation has been applied. The system has been tested on 10 test cases and simulation has been performed in MATLAB. The simulation results show that the fault detection rate has been increased and execution time has been reduced.
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    Title: Feature Extraction and Classification in Sentiment Analysis: A Survey
    Authors: Nitika, Tejinder Kaur Khattra and Dr. Manish Mahajan
    Abstract: Sentiment analysis is a machine learning approach in which machines breaks down and arranges the human's feelings, suppositions and so on about some theme which are communicated as either text or discourse, Sentiment examination is likewise called opinion mining includes a plan to gather and characterize suppositions about an item. Its fame is basically due have an extensive variety of utilization since suppositions are integral to all human exercises and are key influences of our practices. This paper portrays different strategies utilized as a part of wistful analysis and afterward proceeds onward to depict some current work. Sentiment analysis utilized four key strides are: a) Data preparing b) Data pre-processing c) Feature extraction d) Sentiment Classification. The real test of the zone of Sentiment analysis and Opinion mining lies in recognizing the feelings expressed in text. The objective of this survey is to concentrate the sentiment analysis problem in deep and to familiarize with different works done regarding the matter.
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    Title: A Framework for Privacy Aware Patient-Controlled Personal Health Record System
    Authors: Umamageswari Baskaran
    Abstract: With the development of medical technology and information technology,”Personal Health Records (PHR)” is gradually developed as medical information exchange system. Patient - controlled personal health record systems helps to make health care -safer, cheaper, and more convenient. In this paper, we present the framework for Privacy-aware Patient-controlled Personal Health Record (P3HR) system through which a patient can view their health history, and share their health information with health care professional. Access to the health information of a particular patient is completely controlled by that patient. In P3HR database, no quasi identifiers are stored and it uses secret pseudonym for linking records, which is known only to the respective patients. The resulting database becomes completely anonymous. Our approach makes it very unlikely that patients could be identified by an attacker from their anonymous health records in the P3HR system.
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    Title: Survey on Clustering in Wireless Sensor Network
    Authors: P. Divya and M. Sathya
    Abstract: Running a large number of nodes requires an efficient mechanism to bring them all together in order to form a multi-hop wireless network that can accomplish specific tasks. Clustering allows the nodes to increases the ability of a sensor network. It transmits traffic in a scheduled manner by means of aggregation which provides the transmission delay and reduces the network life time. By addressing these problems to use cluster head for group of sensor nodes (SN) communication to derive appropriate clusters size and increase network lifetime. In this paper, the survey on WSN under Clustering with its classification are discussed briefly.
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    Title: Computer Vision System for Eye Gaze Tracking
    Authors: Puja P. Sorate and Gyankamal J. Chhajed
    Abstract: Eye gaze tracking is a technique use for checking the usability problems in the Human Computer Interaction (HCI). Initially they are present tracking technology and key elements. Eye gaze tracking technique is based on the behavior of the user when they are looking. It can use for different kinds of methods i.e. “electro-oculography(EOG), Sceleral Search Coils, infrared oculography(IOG), video oculography(VOG), different models, probable approaches i.e. “shape based approach, appearance based methods, 2D and 3D models based approach. The eye tracking applications likes human computer interaction, brain computer interaction, assistive technology, e-learning, psychology investigation, pilot training assistance, virtual and augmented reality and so on. The Proposed system uses Head pose detection, eye region detection, eye feature detection, eye vector calibration, Gaze Estimation and eye gaze tracking modules. This system is to design and implement eye gaze tracking system in desktop environment.
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    Title: Shop-Type Recommendation System
    Authors: Pooja C. Sohale and Santosh A. Shinde
    Abstract: In business world, it is important to determine the appropriate type of shop (e.g. restaurant, fashion, coffee) for newly opened store. Shop type recommendation system suggests a suitable shop type using social media and location-based services (LBS) data. User generated data from social media and LBS provide rich information about individual consumption experiences and various shop attributes. Shop type recommendation is useful for making investment and urban planning decisions. This system extracts the location and commercial features from the data to describe the characteristics of shops. The feature fusion module incorporates all the features into singular value decomposition (SVD) matrix factorization model for parameter learning. This system develops a novel bias learning matrix factorization algorithm with feature fusion for shop type recommendation.
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    Title: Survey on Development of Android Based Mobile App for Prestashop eCommerce Shopping Cart (ALC)
    Authors: Swapnil S. Jagtap and Dr. Dinesh B. Hanchate
    Abstract: There are many online shopping cart websites and their android applications available on the internet. These online shopping websites and their android app run on the single server and share the database, i.e.- the android application is integrated with the web server to share the resources and the database. There are different types of web servers available for the different purposes in the market, according to your need you need to choose the server and customize its services. The android app that is going to be developed have its website built in PrestaShop eCommerce Shopping Cart software using PHP PL and is used with the MySQL DB to store the data. The objective of this project is to develop the online shopping android app and integrate the App with the PrestaShop eCommerce Shopping Cart software running on XAMPP Server and connect it to the MySQL database and design the GUI of the App for different devices like phones and tablets, so that the customers can easily use the App for online shopping on their android devices. The theme of the app should be attractive and easy to modify by the user so that the customers get attracted to use this app for online shopping. However, we are going to improve performance and scalability of web applications, we will do the analysis. We will decide the guidelines for guiding the design of web application. We will try to put and implement and maintain application level caching which supports to the developers.
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    Title: Recommender System Based on Web Usage Mining for Personalized E-learning Platforms
    Authors: Sunil and Prof. M. N. Doja
    Abstract: With the rapid increase of information and development of internet the learners prefer online learning. The most important media for the collection, sharing and distribution of information is World Wide Web now days. In a short extent of time E-learning platforms have observed a tremendous growth worldwide. A large quantity of data which is being produced by the E-learning platforms during the transaction is much unpredictable but contains hidden and useful information. From this hidden information learners’ usage patterns are find so that the learners can be benefited and provided with an efficient platform and personalized services, this makes a necessity for personalized systems. Web usage mining for E-learning platforms can mine the server logs and database to find the learners usage patterns, to provide the learners with more personalized services. In an E-learning environment a recommender system is a software agent that tries to intelligently recommend actions to a learner based on the actions of the previous learners. This recommendation could be an online activity such as online learning material or could be E-learning web resources. In this regard this paper discusses about the improved mining strategies and builds a model of E-learning platform with learning resources recommendation based on web usage mining which in turn is helpful for learners and provides them an efficient platform and personalized services.
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    Title: Design Modification Approaches of Double-Tail Comparator using Power Gated Techniques: A Review
    Authors: Ramprakash Gupta and Mr. Charanjeet Singh
    Abstract: This article basically prepared to design a low power and a high performance dynamic latch comparator. Nowadays, the need for ultralow-power, area efficient and high-speed analog-to-digital converters is pushing toward the use of dynamic regenerative comparators to maximize speed and power efficiency. Based on the presented analysis, a new dynamic comparator is proposed, where the circuit of a conventional double tail comparator is modified for low-power and fast operation even in small supply voltages.The proposed design has been simulated on Tanner EDA at 180nm TSMC and achieved up to 15% reduction in power and 71% reduction on kickback noise from the conventional designs and based on the present results and analysis. Comparator is especially designed for open loop configuration without any feedback. Hence, it is the second most widely used device in electronic circuits after Opamp. Comparators are mostly used in analog-to-digital converter. Also, this paper presents a bibliographical survey of recently-published research on different current comparator topologies for low-power and high-speed applications. This paper will help the practicing engineers/ beginners in this field, able to know what are the significant parameters to design low power dynamic latched comparator and its use in various applications
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    Title: Parametric Analysis of Genetic Algorithm for Light Control System
    Authors: Priyanka Sambyal, Pawanesh Abrol and Parveen Lehana
    Abstract: Genetic Algorithm (GA) is a heuristic search technique that provides solution to complex optimization problems. The implementation of GA for solving optimization problem involves tuning of various GA parameters such as size of initial population, mutation probability and number of generations. There are complex interactions among GA parameters during working of GA. Many researches have been done to find out the optimum values of the GA parameters using different techniques. But due to very problem specific nature of GA, it is still an open ended question for researchers to find global values of the GA parameters. The efficiency of GA mainly depends upon the GA parameters and a good selection of GA parameters results in better convergence of the results. This paper analyses the effect of parameters such as population size, mutation probability and number of generations on Genetic Algorithm for optimization of light control system.
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    Title: A Review on Big Data Applications in Industries
    Authors: Dr.P. Sengottuvelan and N. Revathi
    Abstract: Big Data has been for long out there anywhere, strolling roughly in the hope of being notice. If we have ever wondered about real-world application of huge Data, Detail the applications, along with applicable examples of each industry vertical, it also brings to light the key Industry-specific challenges being faced. With each Industry, we move a tread earlier into perceptive the humanity of big data from how it is being applied to solve a lot of our troubles. This info realistic tries to imprison the spirit of what Big Data means for different Industry sectors. Even though, Big Data specific challenges have been covered in detail here, it is to be famous that the largest factor in Big Data execution has been the financial support issues encounter by the industries in these sectors. Mainly industries are still evaluated whether there is value in completion of huge Data, while some have taken the sink previously. There are a variety of group sets of Industry group, persons who are just testing waters to serious players who are creating products which will utilize Big Data. There are of course, numerous who have already implemented and conception use of Big Data.
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    Title: Weight Based Feature Subset Selection from High Dimensional Databases
    Authors: P,naga kavitha
    Abstract: The problem of curse of dimensionality is understood in the wake of data mining algorithms taking long time and consuming more resources in processing databases that contain high-dimensions. When there are more dimensions in the dataset, naturally it consumes more resources. However, there might be some attributes that are not needed for processing. In other words, it is possible to reduce dimensions by identifying representative features that provide full coverage of all attributes. In this paper we proposed an algorithm that based on weight, entropy and gain for identifying representative features in a high-dimensional data. Entropy and gain are computed systematically in order to have a weight associated with all attributes. Different pairs of attributes are correlated and representative features are selected. The representative features are the features that represent all features in the given dataset. We built a prototype application that demonstrates proof of the concept. The empirical results revealed that the proposed algorithm is effective and can be used in the data mining operations for improving performance. This is achieved by reducing dimensions through the proposed feature subset selection.
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    Title: Performance Analysis of Gray Hole Attack Detection in MANET
    Authors: P.Ramkumar
    Abstract: A mobile unintentional network may be a self-organized assortment of mobile nodes that communicate with one another while not the assistance of any mounted infrastructure or central arranger. A node is often any mobile device with the power to speak with alternative devices. In MANET, a node behaves as a bunch additionally as a router. A node desiring to communicate with another node that's not inside its communication vary takes facilitate of intermediate nodes to relay its message. The topology of the network dynamically changes over time as nodes move concerning, some new nodes be a part of the network or few alternative nodes disengage themselves from the network. MANETs have distinct blessings over ancient networks, that they'll simply be established and demolished, except providing flexibility because the nodes don't seem to be bound. The aim of our planned system is to scale back the length of active time of the IDSs while not compromising on their effectiveness. Improve the output, PDR, Lifetime.
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