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ijmcs  IJMCS

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

ijmcs  IJMCS

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

ijmcs  IJMCS

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

ijmcs  IJMCS

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

ijmcs  IJMCS

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

ijmcs  IJMCS

Submit your paper @ Free of Cost http://www.ijmcs.info/publication_fee...

ijmcs  IJMCS

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

ijmcs  IJMCS

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

ijmcs  IJMCS

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

ijmcs  IJMCS

Volume-4 & Issue-3 Published (Acceptance Ratio=48.05%)http://www.ijmcs.info/current_issue

ijmcs  IJMCS

Volume-4 & Issue-2 Published (Acceptance Ratio=44%)http://www.ijmcs.info/current_issue

ijmcs  IJMCS

Volume-4 & Issue-1 Published (Acceptance Ratio=50%)http://www.ijmcs.info/current_issue

ijmcs  IJMCS

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

ijmcs  IJMCS

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

ijmcs  IJMCS

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

ijmcs  IJMCS 15 August

Upcoming Isuue: Volume-2 & Issue-6 http://www.ijmcs.info/next_issue

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

  • For More Detail Click Here
  • http://www.acharya.ac.in/Techman_2014.pdf

    Volume-3 Issue-1(February 2015)
    Title: Perception Based Granulation of Trend Approach for Intelligent Fault Diagnosis in Actuator of Evaporation Section in a Sugar Industry
    Authors: Dr. Tarun Chopra
    Abstract: An efficient fault diagnosis system for process actuators should focus on the timely detection of both abrupt and incipient types of faults. This research paper introduces a new perception based granulation of trend approach which improves the performance of decision making system Intelligent Fault Diagnosis in Actuator of Evaporation Section in a Sugar Industry
    Click Here to Download Pdf
    Title: Distance Based Dynamic Cluster Head Selection in Wireless Sensor Network
    Authors: Mr. Rajeeb Sankar Bal and Prof. (Dr.) Amiya Kumar Rath /div>
    Abstract: In the wireless sensor networks, hundreds and thousands of sensor nodes are dispersed that collects and relay data. Also in these networks cluster head is selected out of the sensor nodes to transmit the data collected to base station. We propose a clustering technique which organizes the whole network into a connected hierarchy and describe the design rationale of the different clustering approaches and design principles. Again, we propose several key issues that affect the design and practical deployment of clustering techniques in wireless sensor network. In this paper, we proposed a distance based Static Cluster head selection algorithm for improving the sensor network life time. Thus, the proposed technique to distribute the role of the cluster head among the sensor nodes in the same cluster is paramount to improve the network lifetime. The algorithm used a distance based method for providing the Dynamic cluster head selection. The Clustering techniques also provide good network lifetime, load balancing, and in-network data aggregation.
    Click Here to Download Pdf
    Title: NewSQL Databases: Scalable RDBMS for OLTP Needs to Handle Big Data
    Authors: Rakesh Kumar and Shilpi Charu
    Abstract: One of the key advances in resolving the 3V (volume, velocity and variety) of Big Data problem has been the emergence of an alternative databases (SQL based RDBMS, NoSQL and NewSQL). NewSQL is a different type of relational database management systems that is provide the same scalable performance of NoSQL (Not Only SQL) systems for OLTP (Online Transaction Processing) workloads as well as still maintaining the ACID (Atomicity, Consistency, Isolation, Durability) guarantees of a traditional single node database system. This paper includes the introduction to Distributed Databases, OLTP (Online Transaction Processing), RDBMS (Relational database management systems). Further this paper contains Introduction to NoSQL, Key attribute of NoSQL Databases, Scalability and Performance with NoSQL, and at last covering Introduction to NewSQL, its categorization, Characteristics of NewSQL solution, Architecture of NuoDB, VoltDB and Comparative Characteristic of RDBMS, NoSQL, and NewSQL Databases. The aim of this paper is to show mainly importance of NewSQL as a database management and give the best solution for embedded in an appliance with both commercial as well as open-source offerings available.
    Click Here to Download Pdf
    Title: A Maximally Specific Hypothesis for Predicting the Employability Requirements in Higher Educational Institutions
    Authors: G. Sriram, Y. Srinivas and K. Thammi Reddy
    Abstract: Educational Data mining is becoming one of the fascinating areas in the field of Data Mining by various research communities. In India the academic institutions are now adopting ICT initiatives for the academic functionalities like teaching learning, evaluation, admissions etc. aimed at collating, storing and viewing of the data. This has paved way in the creation of student data repositories, which can be used for educational data analysis. This paper aims at reducing the representation of rules using Maximally Specific Hypothesis for predicting the attributes which play a vital role in the employability of students. The results are compared with standard decision tree algorithms like ID3 and Random Forest and achieved the best results in representation as well as reduction of employability attributes.
    Click Here to Download Pdf
    Title: A Secure Routing Protocol for Vehicular Ad Hoc Network: A Survey
    Authors: Mukesh Tripathi and Sandeep Rai
    Abstract: A vehicular Ad Hoc Network specially appointed system (VANET) utilizes as portable hubs in a MANET to make a versatile network. A VANET transforms each partaking nodes into a remote switch or hub, permitting nodes roughly 100 to 300 meters of one another to join and, thusly, make a system with a wide range. The requirement for vigorous VANET systems is firmly reliant on their security and protection characteristics, which will be examined in this paper. In this paper a different sorts of security issues furthermore difficulties of VANET been broke down and examined; we likewise examine a set of arrangements displayed to take care of these difficulties and issues. It turns into a key part of the adroit transport framework. A great deal of works has been carried out towards it yet security in VANET got less consideration. In this article, we have examined about the VANET and its specialized and security challenges.
    Click Here to Download Pdf
    Title: Efficient Statistical Techniques and Mathematical Models for Data Mining
    Authors: Mohit Jain
    Abstract: This research paper is intended to serve as an overview of a rapidly emerging research and application area in data mining. Data Mining is one of the most important phases of the knowledge discovery in database activity. So, in order to extract the information from raw data, there is a need for training professionals to work as an analyst or to interface with data mining. Data Mining is one of the popular terms for finding structures in large scale databases and is subject at the boundaries of statistics and mathematics. This paper also investigates the problem of Data Dredging and has also been concerned with detecting structures with data under uncertainty by implementing various modern statistical techniques and mathematical models
    Click Here to Download Pdf

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