Volume-1 Issue-4, March 2014 – International Journal of Advanced Engineering and Nano Technology (IJAENT)

D0151031414

IJAENT Journal — Mon, 13 Sep 2021 03:17:24 +0000

The International Journal of Advanced Engineering and Nano Technology (IJAENT) has ISSN: 2347-6389 (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. Challenges of Industry and their Solutions, Communications #Advanced Manufacturing Technologies #Artificial Intelligence #Autonomous Robots #Augmented Reality #Big Data Analytics and Business Intelligence #Cyber Physical Systems (CPS) #Digital Clone or Simulation #Industrial Internet of Things (IIoT) #Manufacturing IoT #Plant Cyber Security #Smart Solutions – Wearable Sensors and Smart Glasses #System Integration #Small Batch Manufacturing #Visual Analytics #Virtual Reality #3D Printing # Internet of Things (IoT) #Internet of Things (IoT) & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Block Chain-enabled IoT Device and Data Security and Privacy #Application of WSN in IoT #Cloud Resources Utilization in IoT #Wireless Access Technologies for IoT #Mobile Applications and Services for IoT #Machine/ Deep Learning with IoT & IoE #Smart Sensors and Internet of Things for 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A New 0.4-V 27-dB 3.1-10.6-GHz UWB Low-Noise Amplifier with Dual-Band B and pass Filter
To-Po Wang¹, Jai-Yang Syu²
¹To-Po Wang, Department of Electronic Engineering and Graduate Institute of Computer and Communication Engineering, National Taipei University of Technology, Taipei, Taiwan.
²Jai-Yang Syu, Department of Electronic Engineering and Graduate Institute of Computer and Communication Engineering, National Taipei University of Technology, Taipei, Taiwan.
Manuscript received on March 10, 2014. | Revised Manuscript Received on March 12, 2014. | Manuscript published on March 18, 2014. | PP: 25-28 | Volume-1, Issue-4, March 2014. | Retrieval Number: D0151031414
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© The Authors. Published By: 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 low-voltage high-gain ultra-wideband (UWB) low-noise amplifier (LNA) with dual-band tunable bandpass filter for interference rejection is proposed in this paper. There are two sections of the proposed multi-band tunable bandpass filter. The first one is designed for 2.4-GHz interference rejection, and the other one is for 5.2-GHz interference blocking. In addition, high-Q active inductors are adopted in each bandpass filter section for improving the interferences rejection. According to the proposed circuit topology, the UWB LNA has been designed in 0.18-m CMOS process. Simulated results confirm the UWB LNA combining the proposed dual-band tunable bandpass filter can effectively achieve high gain of 27 dB, low noise figure of 2.8 dB, low LNA supply voltage of 0.4 V, and total dc power consumption including multi-band tunable bandpass filter of 16.4 mW. In addition, the simulated interference rejections at 2.4 GHz and 5.2 GHz are 46 dB and 29 dB, respectively.
Keywords: Interference rejection, low-noise amplifier (LNA), noise figure, notch filter.

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D0150031414

IJAENT Journal — Sat, 11 Sep 2021 05:24:54 +0000

Numerical Analysis of In-Plane Shear Strength on GFRP Composites under Adverse Thermal Ageing Condition
Chitra.P¹, Saranya.S², Manikandan.T³
¹Ms .P.Chitra, UG Final Year Student, Department of Aeronautical Engineering, Jeppiaar Engineering College, Chennai, India.
²Ms. S.Saranya, UG Final Year Student, Department of Aeronautical Engineering, Jeppiaar Engineering College, Chennai, India.
³Mr. T.Manikandan, Assistant Professor, Department of Aeronautical Engineering, Jeppiaar Engineering College, Chennai, India.
Manuscript received on March 05, 2014. | Revised Manuscript Received on March 09, 2014. | Manuscript published on March 18, 2014. | PP: 19-24 | Volume-1, Issue-4, March 2014. | Retrieval Number: D0150031414
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© The Authors. Published By: 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: Glass reinforced polymers are used in a wide variety of engineering applications and this occurrence continues. The exposure of composite structures to adverse environmental conditions during their service life period leads to degradation, which affects its material properties. The main objective of this paper is to determine the in-plane shear properties of uni-directional Glass/epoxy laminates when subjected to the various thermal conditions (Ambient, 253k, 343k). The in-plane shear properties of GFRP were studied by Iosipescu model, where the models were designed in various orientations (0 The Iosipescu model has been designed as per the specifications prescribed in the ASTM 5379. The design and analysis of a three dimensional finite element model were carried out using ABAQUS/CAE. Crack initiation and propagation has been achieved by eXtended Finite Element Method (XFEM). In plane shear failures for [0], [90] and [0/90] were observed. Graphs have been plotted for in-plane shear stresses and shear strains to interpret the behavior of material under various thermal ageing conditions. Among all the other material orientations, cross ply laminates at room temperature possess higher in-plane shear strength, exhibits significant variations on both thermal ageing conditions than 0° and 90° orientations. The failure mechanism of thermally exposed FEA model has done by the C3D8R stress distribution model.
Keywords: In-plane shear, Iosipescu shear test, Thermal Ageing, GFRP, ABACUS/CAE, (0°,90°,0/90°) orientation.

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D0149031414

IJAENT Journal — Sat, 11 Sep 2021 05:17:59 +0000

Ontologies for Personalized E-Learning in the Semantic Web
Shabina Dhuria¹, Sonal Chawla²
¹Shabina Dhuria, Department of Computer Science and Applications, Panjab University, Chandigarh, India.
²Dr. Sonal Chawla, Department of Computer Science and Applications, Panjab University, Chandigarh, India.
Manuscript received on March 05, 2014. | Revised Manuscript Received on March 09, 2014. | Manuscript published on March 18, 2014. | PP: 13-18 | Volume-1, Issue-4, March 2014. | Retrieval Number: D0149031414
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© The Authors. Published By: 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: Semantic web, next generation intelligent web, is one of the emerging research areas in intelligent web technology and has high potential for research. It can be considered as a content-aware intelligent web. SW technologies will influence the next generation of e-learning systems and applications. To structure the learning material, ontology is a key constituent in the structural design of the Semantic Web. Ontology is a formal specification of a particular domain that describes set of objects, properties that objects can have and various ways how these objects are related to each other.This paper has threefold objective. Firstly, it would help to understand Semantic Web currently exists as a vision, is a promising technology for realizing eLearning requirements. Ontology is primary and most important part of semantic web, improves the learning process as it focuses on relationship rather than information. Secondly, it throws light on classification of ontologies in computer science and how ontoligies in higher education can enhance the search of the learning material. Thirdly, it focuses on analysis of various ontology tools helpful in knowledge retrieval, knowledge storage, and knowledge sharing.
Keywords: E-Learning, Ontology, Ontology Tools, Semantic Web.

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D0145031414

IJAENT Journal — Sat, 11 Sep 2021 05:11:09 +0000

Experimental Evaluation of Thermal Transport Characteristics of MMC’s for heat Sink Material for Electronics Cooling
G.V Krishna Reddy¹, N.Chikkanna², H.S Monohar³, B.Umamaheswar Goud⁴
¹Dr. G.V.Krishna Reddy, Department of Mechanical Engineering of Govt Polytechnic, Channasandra – Bangalore, Karnataka,India
²Dr. N.Chikkanna, Government Engineering College, Hoovina hadagali, Bellary, Karnataka, India
³Dr. B. Uma maheshwar Gowd. Director,of Adamissions, jwaharlal NehruTechnological University- Anantapur Andhra Pradesh, india.
⁴Dr. H.S Monohar. Associate Professor, SEA college of Engineering, Bangalore, K.A. India.
Manuscript received on March 05, 2014. | Revised Manuscript Received on March 09, 2014. | Manuscript published on March 18, 2014. | PP: 06-12 | Volume-1, Issue-3, March 2014. | Retrieval Number: D0145031414
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© The Authors. Published By: 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: In this work, effort has been made in the evaluation and enhancement of thermal transport characteristics of metal matrix composites. The Thermal management systems are important in today’s faster growing industrial needs which are demanding the high end processors with highest speed and reliability of performance. However, this work focuses on the development of new material for heat sink. Generally, the heat sink is attached to the CPU by the manufacturer mechanically. There is possibility of high stress inducement in the CPU due to mechanical fastening and the heat transfer is not effective as there will be a 100% surface to surface contact. Also there is a high possibility of shorting of electronic circuitry of the CPU due to the high conductivity of the heat sink material. In order to overcome these problems, effort is made to resolve the problem by developing the metal matrix composites to match with the required properties of the heat source. In this work, initially, the importance and motivation behind the evaluation of the thermal characteristics for the MMC’s. The development of new MMC’s was detailed along with the different compositions of the MMCs. For this, initially, baseline materials were explained in detail along their thermal properties. Six MMC’s have been proposed with varying compositions of aluminum and silicon carbide. Aluminum was varied in percentage composition from 25% to 65% and Sic was varied between 35% to 75%. The MMC’s were evaluated for the properties lie thermal conductivity, specific heat, thermal diffusivity, CTE. Also, the variation of these properties with respect to temperature is evaluated. Finally recommendations are given for the MMC’s based on the required property criteria of the heat source material.
Keywords: Aluminum, Silicon carbide, Heat sink, Thermal conductivity, CTE, Specific heat.

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D0142031414

IJAENT Journal — Sat, 11 Sep 2021 05:00:52 +0000

Feasibility Study of IGCC Power Plant in Bangladesh
Ashab Uddin¹, Debangshu Barua², Md. Emran Husain³, Md. Saiful Amin⁴
¹Ashab Uddin, Electrical & Electronic Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh.
²Debangshu Barua, Electrical & Electronic Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh.
³Md. Emran Husain, Electrical & Electronic Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh.
⁴Md. Saiful Amin, Electrical & Electronic Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh.
Manuscript received on March 05, 2014. | Revised Manuscript Received on March 09, 2014. | Manuscript published on March 18, 2014. | PP: 01-05 | Volume-1, Issue-4, March 2014. | Retrieval Number: D0142031414
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© The Authors. Published By: 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: The integrated gasification combined cycle (IGCC) is one of the advanced clean coal power generation systems. It could replace many of the contractual high-cost rental power plants and small Industrial Power Plants which are being currently used to supply large amount of population and thereby secure the nation’s energy supply well into the future. However, utility companies have been reluctant to make gasification a major component of their generation portfolio due to high capital costs and the lack of large-scale commercial application. To resolve some of the most pressing challenges preventing widespread implementation of IGCC technology, the government should support research and development efforts focusing on advanced gasification technologies to improve the efficiency and reduce capital costs simultaneously. IGCC technology already offers significant reductions in emissions of the major criteria air pollutants (NOx,SO2, particulate matter and CO) as compared to PC plants. It is already being considered as one of the most promising technologies in reducing the environmental consequences of generating electricity from coal.
Keywords: IGCC, Gasification, HRSG, Emission, Coal
Gasification, Environment Friendly.

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