Volume-3 Issue-7, January 2017 – International Journal of Advanced Engineering and Nano Technology (IJAENT)

G0392013717

IJAENT Journal — Sat, 11 Sep 2021 07:45:20 +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 Smart City #Logic, Functional programming and Microcontrollers for IoT #Sensor Networks, Actuators for Internet of Things #Data Visualization using IoT #IoT Application and Communication Protocol #Big Data Analytics for Social Networking using IoT #IoT Applications for Smart Cities #Emulation and Simulation Methodologies for IoT #IoT Applied for Digital Contents #Microwaves and Photonics #Microwave filter #Micro Strip antenna #Microwave Link design #Microwave oscillator #Frequency selective surface #Microwave Antenna #Microwave Photonics #Radio over Fibre #Optical Communication, #Optical Oscillator #Optical Link Design #Optical Phase Lock Loop #Optical Devices #Computation Intelligence and Analytics #Soft Computing #Advance Ubiquitous Computing #Parallel Computing #Distributed Computing #Machine Learning #Information Retrieval #Expert Systems #Data Mining #Text Mining #Data Warehousing #Predictive Analysis #Data Management #Big Data Analytics #Big Data Security #Energy Harvesting and Wireless Power Transmission #Energy Harvesting and Transfer for Wireless Sensor Networks #Economics of Energy Harvesting Communications #Waveform Optimization for Wireless Power Transfer #RF Energy Harvesting #Wireless Power Transmission #Microstrip Antenna Design and Application #Wearable Textile Antenna #Luminescence #Rectenna #Advance Concept of Networking and Database #Computer Network #Mobile Adhoc Network #Image Security #Application Artificial Intelligence and Machine Learning in the Field of Network and Database #Data Analytic #High Performance Computing #Pattern Recognition #Machine Learning (ML) and Knowledge Mining (KM) #Regression and Prediction #Problem Solving and Planning #Clustering #Classification #Neural Information Processing #Vision and Speech Perception #Heterogeneous and Streaming Data #Natural Language Processing #Probabilistic Models and Methods #Reasoning and inference #Marketing and Social Sciences #Data Mining #Knowledge Discovery #Web Mining #Information 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Cloud Computing: Risk Analysis on Cloud Security
Supreet Kaur¹, Amanpreet Singh², Rajeev Kumar³
¹Supreet Kaur, Department of Computer Science, Lyallpur Khalsa College – Jalandhar, India.
²Amanpreet Singh, Assistant Professor, Department of Computer Science and Engineering, ST Soldier Institute of Engineering and Technology, Punjab, India.
³Dr. Rajeev Kumar, Associate Professor, Department of Computer Science and Engineering, Teerthanker Mahaveer University, Teerthanker Mahaveer University, Moradabad (U.P.), India.
Manuscript received on January 12, 2017. | Revised Manuscript received on January 19, 2017. | Manuscript published on January 31, 2017. | PP: 15-17 | Volume-3 Issue-7, January 2017. | Retrieval Number: G0392013717
Open Access | Ethics and Policies | Cite
© 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: Since the cloud’s idea needs surveying of assets with extra cloud owner’s, subsequently, business rudiments or other customer basic data is available for cloud and in addition to outcast cloud. In any foundation of distributed computing, a noteworthy component is security since essential is guaranteeing the approved get to and secure lead is ordinary. Standard issues of security still have in distributed computing. However, as large business limits have been extended to the cloud, standard security frameworks are not completely sensible for data and applications in cloud.
Keywords: Cloud computing.

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G0391013717

IJAENT Journal — Sat, 11 Sep 2021 07:41:26 +0000

Atomic Force Microscopy as a Quantitative Tool for Particle Characterization: From Microns to Angstrom Scale
S. K. Dora
Dr. S K. Dora, Scanning Probe Microscopy Division, Nano Magnetics Instruments UK, Mustafa Kemal Mahallesi, Dumlupinar Bulvari, Ankara, Turkey.
Manuscript received on January 12, 2017. | Revised Manuscript received on January 19, 2017. | Manuscript published on January 31, 2017. | PP: 10-14 | Volume-3 Issue-7, January 2017. | Retrieval Number: G0391013717
Open Access | Ethics and Policies | Cite
© 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: Nanoparticles constitute a crucial and technology intensive area of research and development in the continuous expanding field of nanotechnology. They are becoming increasingly important in many areas, including data storage, plasmonic, photonic, microelectronic, energy, pharmaceutical, biomedical, and cosmetics etc. Using Atomic Force Microscope (AFM), individual particles of varying sizes ranging from µm to sub-nanometer level can be resolved and unlike other microscopy techniques, the AFM offers visualization and quantitative analysis in three dimensions. In this manuscript, AFM was effectively used to characterize different particles (SnO2, ZnO and TiO2) whose sizes varied between µm to angstrom level on a mica substrate. Further, the possibility of combining AFM and image post processing software Gwyddion, to extract quantitative data even for angstrom size particles are demonstrated.
Keywords: AFM, Nanopartciles, Quantitative Analysis.

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G0390013717

IJAENT Journal — Sat, 11 Sep 2021 07:34:31 +0000

Multi-Area Load Frequency Control (LFC) for Power System using PID Controlled Power System Stabilizer (PSS)
Muddasar Ali¹, M. Ejaz Hassan²
¹Muddasar Ali, PG. Scholar, Department of Electrical Engineering, Army Public College of Management & Sciences (APCOMS), Rawalpindi (UET) Taxila, Pakistan.
²Prof. Dr. M. Ejaz Hassan, Associate Professor & Head, Department of Electrical Engineering, Army Public College of Management & Sciences (APCOMS), Rawalpindi (UET) Taxila, Pakistan.
Manuscript received on January 08, 2017. | Revised Manuscript received on January 16, 2017. | Manuscript published on January 31, 2017. | PP: 5-9 | Volume-3 Issue-7, January 2017. | Retrieval Number: G0390013717
Open Access | Ethics and Policies | Cite
© 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: Nowadays power demand is increasing continuously and the biggest challenge is to provide good quality of power to the consumer under changing load conditions. For satisfactory operation, the frequency of power system should be kept near constant value. Continuous change in frequency by variation of load is a big challenge for generating unit to compensate it as quickly as possible. Many techniques have been proposed to obtained constant value of frequency and to overcome any deviations. The load-frequency control (LFC) is used to restore the balance between load and generation by means of speed control. The main goal of LFC is to minimize the transient deviations and steady state error to zero in advance. PID is a conventional controller that can be used for LFC to get faster and better results. If conventional Controller and power system stabilizer (PSS) are used together then more effective result can be achieved rather than their individual use for LFC. This paper presents a comparison of Multi-area LFC with and without conventional controller and conventional controller in the presence of power system stabilizer (PSS) using MATLAB/SIMULINK software package. Reduction in settling time, overshoot and frequency deviation was successfully achieved by Using PID controlled Power system Stabilizer (PSS).
Keywords: Load Frequency Control (LFC), Conventional PID Controller, Power system stabilizer (PSS).

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G0389013717

IJAENT Journal — Sat, 11 Sep 2021 07:30:55 +0000

An Attack Proof Trust Model for Secure Path Selection with Data Transmission in MANET
Ravi Lodhi¹, Shiv Kumar², Babita Pathik³
¹Ravi Lodhi, M.Tech. Scholar, Department of Computer Science and Engineering, Lakshmi Narain College of Technology Excellence, Bhopal (M.P), India.
²Dr. Shiv Kumar, Professor & Head, Department of Computer Science and Engineering, Lakshmi Narain College of Technology Excellence, Bhopal (M.P), India.
³Babita Pathik, Assistant Professor, Department of Computer Science and Engineering, Lakshmi Narain College of Technology Excellence, Bhopal (M.P), India.
Manuscript received on January 08, 2017. | Revised Manuscript received on January 16, 2017. | Manuscript published on January 31, 2017. | PP: 1-4 | Volume-3 Issue-7, January 2017. | Retrieval Number: G0389013717
Open Access | Ethics and Policies | Cite
© 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 mobile ad-hoc network (MANET) is a network of mobile nodes which also act as routers and are connected by wireless links. These routers are free to move and organize themselves at random; thus, the network’s wireless topology may change rapidly and unpredictably. The dynamic nature of MANETs makes network open to attacks and unreliability. MANETs are vulnerable to various security attacks. Hence, finding a secure and trustworthy end-to-end path in MANETs is a legitimate challenge. Dynamic source routing set of rules is a functional protocol in wireless mobile ad-hoc network (MANET). Data Safekeeping and detection of malicious node in a MANET is an imperative job in any network. To achieve reliability and availability, routing protocols should be powerful against malicious attacks. This paper provides a trust model that detects attacks while data transmission and finding secure route in MANET. Experimentally outcome indicated that system is fine appropriate for confident and enhanced data communication. The structure also accomplishes protected routing to safeguard MANET against malevolent node. The outcomes exposed that the scheme security and throughput of the system is enhanced.
Keywords: MANET, secure routing, malicious attack, Ad hoc Network, Wireless Routing Protocol, trust value.

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