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Recent Papers

Implementation of Value Stream Mapping Methodology in Bearing Industry

Lean manufacturing is best way for the reduction of non value added cost, lean word defined by Crafcik in the book of “the machine change the world” in 1988. Lean means thinner and thinner as well as possible to reduce the cost. Lean manufacturing gives the benefit without investment with some modification. In this paper study of the bearing industry at Ahmadabad, Gujarat, for reduction of product lead- time and fulfill the customer demand. This industry is not fulfilling the customer demand and that cause increase the production lead time. In this study to selecting the medium size spherical roller bearing and apply the value stream mapping techniques for detecting the flow of non value added cost with the help of current state map and after analyze it and then prepare a future state map for the proposed implementation. And after apply the entire proposed lean tool and derive the benefits and fulfill the customer demand with reducing lead time.

Published by: Mehul Mayatra, Mr. N.D. Chauhan, Mr. Parthiv Trivedi, Mr. M.N. Qureshi

Author: Mehul Mayatra

Paper ID: V2I3-1171

Paper Status: published

Published: June 13, 2016

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Optimized Healthcare Data Management and Critical Handling using Smart Data Categorization Method

ABSTRACT—The cloud based healthcare models are coming to the emergence very quickly and growing their roots across the globe for the empowering of the active healthcare services. The wearable body sensors are utilized to track the health of the patient when they are out of the healthcare premises. Also the telemedicine and remote healthcare monitoring applications has empowered the healthcare systems to grow their roots into the remote areas of the countries, where it becomes the very tough task to provide t he healthcare services or setup the hospitals, dispensaries, etc. The telemedicine practices empower the doctors to remotely monitor the health of the patients and prescribe the best medicines or the precautionary practices. But such healthcare applications suffers from the many performance based issues such as critical data handling, slow data delivery, etc. The healthcare specific network data classification and flow prioritization methods can be utilized to mitigate the healthcare network problems by decongesting the healthcare networks from the heavy loads by smartly optimizing the data outcome on the dominating controller nodes to optimize the healthcare data inflow volumes. The proposed model is expected to solve the problems associated with the existing systems designed for healthcare data management.

Published by: Divisha Poonia, Satvir Bajwa

Author: Divisha Poonia

Paper ID: V2I3-1169

Paper Status: published

Published: June 9, 2016

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Bandwidth-Aware Stochastic Uplink Scheduling in WIMAX

Abstract—The bandwidth allocation in the WiMAX networking is the primary process which is utilized for the maximum accommodation of the wireless users. The WiMAX link scheduling plays the significant role in managing the resources efficiently and in serving the internet services to the maximum number of users. In this study, the study of various scheduling strategies in wireless mesh network will be carried out. We will focus mainly on the rtps class as it is the most challenging one. A detailed study of HAS and SADP algorithm will be carried out, analyzing its performance for all the service classes. We will then modify the existing algorithm in order to overcome its disadvantages and further improve its performance. The modified algorithm will be implemented in NS2 and simulations will be done. The results obtained from the research will be studied and compared with the previous results and conclusions will be drawn.

Published by: Komaljot Kaur, Amitabh Sharma

Author: Komaljot Kaur

Paper ID: V2I3-1167

Paper Status: published

Published: June 9, 2016

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Adaptive Security Mechanism for Cognitive Radio Communications based on Robust Authentication

Abstract—The fundamental techniques for cognitive radio standard generates the new security threats and the primary operative issues and challenges to wireless communications. Spectrum occupancy failure, the policy management failures, wireless node localization failures, transceiver failures, framework problems and other concerns must be efficiently covered and resolved while imposing the security techniques over the cognitive channels. In the process, it will produce the security threats-primary user emulation attacks. When the attacker has detected the idle spectrum, he will send out a signal similar to the primary user’s signal in this band. The attacks will affect the secondary user detect the idle spectrum and the spectrum cannot be used effectively. An attacker occupies the unused channels by emitting a signal with similar form as the primary user’s signal so as to prevent other secondary users from accessing the vacant frequency bands. The performance of the proposed security model for cognitive radio channels would be evaluated in the performance parameters of security packet volume, authentication delay, security system overhead, etc. The trust and authentication based proposed model will be designed to offer the robust security level over the cognitive channel.

Published by: Mehakpreet Kaur, Navleen Kaur

Author: Mehakpreet Kaur

Paper ID: V2I3-1166

Paper Status: published

Published: June 9, 2016

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A Deterministic GPSR Routing Protocol for MANET

In VANET, the communication between the vehicles takes place. As the vehicles are in motion the main aim is to provide efficient routing. The position based routing protocol are better than topology based routing protocol. Working on GPSR routing protocol main aim is to improve the performance of the GPSR as well as E-GPSR routing protocol. The proposed methodology considers the border node and angle of orientation of the neighboring nodes. Based on this the D-GPSR outperforms the GPSR and E-GPSR routing protocol in terms of throughput, average end-to-end delay, packet delivery ratio and network load. D-GPSR is methodology and algorithm is studied in detailed.

Published by: Kumari Monika, Mr. Ashish Sharma

Author: Kumari Monika

Paper ID: V2I3-1165

Paper Status: published

Published: June 6, 2016

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Traffic Jam and Accident Detection Techniques

Traffic Jam is a crucial problem which is arising day by day in the whole world to overcome this problem many sensors or many algorithms have been developed for the detection of traffic jam. These sensors and algorithm played an important role in Traffic Jam Detection in every region in terms of accuracy, time of detection, signal management. This paper presents a review to the various algorithms proposed in the past.

Published by: Raveena Shaili, Sunil Pathania

Author: Raveena Shaili

Paper ID: V2I3-1164

Paper Status: published

Published: June 6, 2016

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