Volume-6 Issue-10, June 2017 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

J24400661017

IJITEE Journal — Mon, 19 Dec 2022 04:21:28 +0000

The International Journal of Innovative Technology and Exploring Engineering (IJITEE) has ISSN: 2278-3075 (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The journal aims to publish high–quality peer–reviewed original articles in the area of Engineering and Technology that covers Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering and all interdisciplinary streams of Engineering and Technology. #Smart Computing and Information Processing #Signal and Speech Processing #Image Processing and Pattern Recognition #WSN#Artificial Intelligence and machine learning #Data mining and warehousing #Data Analytics #Deep learning #Bioinformatics #High Performance computing #Advanced Computer Networking #Cloud Computing #IoT #Parallel Computing on GPU #Human Computer Interactions #Recent Trends in Microelectronics and VLSI Design #Process & Device Technologies #Low-Power Design #Nanometer-Scale Integrated Circuits #Application specific ICs (ASICs) #FPGAs #Nanotechnology #Nano Electronics and Quantum Computing #3. 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Multifarious Secured Path for Stable Routing in Mobile Ad Hoc Networks
Gaurav Sharma¹, Surbhi Dhiman²
">¹Gaurav Sharma, Associate Professor, Department of Computer Science and Engineering, JMIT Radaur, Yamunanagar (Haryana), India.
²Surbhi Dhiman, M.Tech Scholar, Department of Computer Science and Engineering, JMIT Radaur, Yamunanagar (Haryana), India.
Manuscript received on 10 June 2017 | Revised Manuscript received on 20 June 2017 | Manuscript Published on 30 June 2017 | PP: 16-20 | Volume-6 Issue-10, June 2017 | Retrieval Number: J24400661017/17©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A Mobile Adhoc Network (MANET) is characterized by mobile nodes, multi hop wireless connectivity, infrastructure less environment and dynamic topology. A recent trend in Ad Hoc network routing is the reactive on-demand philosophy where routes are established only when required. Stable and secure routing and power efficiency are the major concerns in this field. This paper is an effort to study security problems associated with MANETS and solutions to achieve more reliable routing. The ad hoc environment is accessible to both legitimate network users and illegitimate attackers. The study will help in making protocol more robust against attacks to achieve stable routing in routing protocols.
Keywords: Ad Hoc Networks, AODV, Security, Wireless Network, Packet Delivery.
Scope of the Article: Wireless ad hoc & Sensor Networks

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I2428046917

IJITEE Journal — Mon, 19 Dec 2022 04:14:25 +0000

Productivity Improvement through Line Balancing in the Assembly Area of a Lighting Manufacturing Company in the Philippines
Amaya Flocerfida L¹, Briones Lloyd Alfred², Evardone Caryl Josef³
¹Dr. Flocerfida Laza Amaya, College of Engineering & Technology Voc University, Perpetual Help System Laguna.
²Lloyd Alfred Briones, Senior Student, Bachelor of Science, Industrial Engineering, University, Perpetual Help System Laguna.
³Caryl Josef Evardone, Bachelor of Science, Industrial Engineering, University, Perpetual Help System Laguna.
Manuscript received on 10 June 2017 | Revised Manuscript received on 20 June 2017 | Manuscript Published on 30 June 2017 | PP: 13-15 | Volume-6 Issue-10, June 2017 | Retrieval Number: I2428046917/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: One of the important aspects of business efficiency is to reduce cycle time and eliminate idle time in the production. Optimum cycle time can be determined using the line balancing techniques. Line balancing supports optimal layout that helps in reducing processing time by eliminating non value added activities. In a lighting manufacturing company in the Philippines, line balancing is used in the assembly line of 25A – 19A of clear household lamps. This is used as a production line technique in every station to have an equal amount of workload and equal cycle time to diminish bottlenecks and reduced idle time. However, the current operation process still cannot meet the standards set by the management. Thus study aims to establish a standard operating procedures for a lighting manufacturing company to achieve a balanced line and improve their rate of efficiency. Time study was used to identify the average cycle time per process and Westing House System was used to determine the standard process time per workstation. Eliminating the idle time and minimizing the number of the workstation can make the number of outputs per task or station balanced and increase their rate of efficiency. After using a simulation application to test the proposed solution to the problem, it is recommended that the company should use simplify and combine task elements that can be merged to improve the efficiency rate in the assembly line.
Keywords: Cycle Time, Line Balancing, Productivity Improvement, Time Study, Westing House System.
Scope of the Article: Manufacturing Processes

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J24310661017

IJITEE Journal — Mon, 19 Dec 2022 04:03:49 +0000

The Behavioral Modeling Approach for Sarcasm Detection on E-Commerce & OSN
Geeta Bhagwan Mehetre¹, M. B. Kalkumbe²
">¹Geeta Bhagwan Mehetre, Department of Computer Science, MSSCET, Jalna, (Maharashtra), India.
²Prof. M. B. Kalkumbe, Department of Computer Science, MSSCET, Jalna, (Maharashtra), India.
Manuscript received on 10 June 2017 | Revised Manuscript received on 20 June 2017 | Manuscript Published on 30 June 2017 | PP: 8-12 | Volume-6 Issue-10, June 2017 | Retrieval Number: J24310661017/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Sarcasm transforms the polarity of an apparently positive or negative affirmation into its opposite. We propose a method to construct a sarcastic Twitter message corpus in which the determination of the sarcasm of each message is made by the system. We use this reliable corpus to compare sarcastic statements in Twitter with statements that express positive or negative attitudes without sarcasm. We study the impact of lexical and pragmatic factors on the effectiveness of automatic learning to identify sarcastic utterances and we compare the performance of automatic learning techniques and human judges in this task. Perhaps it is not surprising that neither human judges nor mechanical learning techniques work very well.
Keywords: Hashtags, Linguistics, Opinion Mining, Sarcasm Detection, Tweets, Open NLP.
Scope of the Article: e-Commerce

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J24340661017

IJITEE Journal — Mon, 19 Dec 2022 03:56:41 +0000

Improve the Efficiency of Image Segmentation Scheme using Swarm Intelligence Techniques
Akanksha Garg¹, Shiv K. Sahu²
">¹Akanksha Garg, M.Tech Scholar, Department of Computer Science & Engineering, Lakshmi Narain College of Technology Excellence, Bhopal (Madhya Pradesh), India.
²Dr. Shiv K. Sahu, Professor & Head, Department of Computer Science & Engineering, Lakshmi Narain College of Technology Excellence, Bhopal (Madhya Pradesh), India.
Manuscript received on 10 June 2017 | Revised Manuscript received on 20 June 2017 | Manuscript Published on 30 June 2017 | PP: 4-7 | Volume-6 Issue-10, June 2017 | Retrieval Number: J24340661017/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Clustering analysis is a primitive exploratory approach in data analysis with little or no prior knowledge. Clustering has been widely used for data analysis and been an active subject in several research fields such as pattern recognition, information retrieval, data mining applications, bioinformatics and many others. This paper presents a particle of swarm optimization with self-optimal clustering (SOC) technique which is an advanced version of improved mountain clustering (IMC) technique. Proposed POS based SOC clustering techniques for large data. We used the POS for the selection of important parameter such as value of centroid and center, this parameter decides the selection of center point of cluster technique. The SOC clustering technique decides the cluster level wise seed and generates cluster according to their features attribute of data. The experiments also revealed the convergence property of the level fitness in Proposed. We compared our Proposed with existing clustering algorithms and shows that the results are improved.
Keywords: Improved Mountain Clustering, Elf Optimal Clustering, Particle Swarm Optimization, K-means, CRM.
Scope of the Article: Image Security

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J24320661017

IJITEE Journal — Mon, 19 Dec 2022 03:43:38 +0000

Impact from Mining & Associated Industrial Activities on Air Quality of Ballari Region
T. H. Patel¹, V. Venkateshwara Reddy², S. R. Mise³
">¹T. H. Patel, Department of Civil Engineering, Rao Bahadur Y Mahabaleswarappa Engineering College, Bellary (Karnataka), India.
²Dr. V. Venkateshwara Reddy, Department of Civil Engineering, Jawaharlal Nehru Technological University, Hyderabad (Telangana), India.
³Dr. S. R. Mise, Department of Civil Engineering, PDA College of Engineering, Gulburga (Karnataka), India.
Manuscript received on 10 June 2017 | Revised Manuscript received on 20 June 2017 | Manuscript Published on 30 June 2017 | PP: 1-3 | Volume-6 Issue-10, June 2017 | Retrieval Number: J24320661017/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Industrialization and urbanization are the two major causes of air pollution. With the implementation of Sustainable Development concept will ensure development with insignificant impact on Environment and preserve this precious environment for future generation. The impact from mining and associated industrial activities may have impact on Environment if Air Pollution Control measures are not implemented. In this paper efforts have been made to assess the impact on the Air quality from Mining and Associated Industrial activities in Bellary region. Also an attempt has been made to suggest mitigative measures to attenuate Air Quality impacts on environment.
Keywords: AAQ, NAAQ, Ground Level Concentration (GLC), Mitigative Measures, CPCB, KSPCB.
Scope of the Article: Ventilation and Indoor Air Quality

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