Volume-7 Issue-6C, April 2019 – International Journal of Recent Technology and Engineering (IJRTE)

F90230476C19

IJRTE Journal — Sat, 22 Jul 2023 06:50:36 +0000

A Survey on Applications, Communication Stack and Energy Consumptions in WSNs
Priyanka¹, Ajay Kumar Singh²
¹Priyanka, Department of Computer Science and Engineering, AKTU, MIET, Meerut (Uttar Pradesh), India.
²Ajay Kumar Singh, Department of Computer Science and Engineering, AKTU, MIET, Meerut (Uttar Pradesh), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 159-166 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90230476C19/2019©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: Wireless Sensor networks (WSNs) are a collection of small, tiny sensors that are having sensing, computation capability, and working together with the help of wireless communication. This paper explains the theory of wireless sensor networks. By merging the micro electro-mechanical skill, digital electronics, and wireless exchanges of information features made WSNs viable. This paper discusses about applications of WSNs and some of application area like military, and health low energy consumption requirement are used WSNs vastly. A list of factors that are effect the design of WSNs is provided, and most of the constraint on sensor nodes is low power consumption requirement, here we discuss all constraints that are useful for improvement of WSNs. Here we discuses about communication architecture, algorithms, and protocols refined for layers. Stack of protocols incorporates all layers that are essential for communication. Protocols of routing are provided by network layer that make energy efficient scheme for transmission of data. For the awareness of sensor networks open research issues are discussed. This paper discussed about how nodes are placed in network, energy consumption model for computing the energy in transmission to receiver ends, and traffic patterns. The assessment terms regularly used for making the routing scheme power efficient is discussed here , also discussed all the routing schemes.
Keywords: Wireless Sensor Networks, Application Layer, Transport Layer, Networking Layer, Data Link Layer, Physical Layer, Routing Protocols, and Energy Efficiency.
Scope of the Article: Foundations of Communication Networks

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F90480476C19

IJRTE Journal — Sat, 22 Jul 2023 06:44:01 +0000

Systematic Literature Survey using Quality Parameter for Cloud Computing
Preeti Sirohi¹, Amit Agarwal², Piyush Maheshwari³
¹Preeti Sirohi, Department of Computer Science, Institute of Management Studies, Ghaziabad (Uttar Pradesh), India.
²Amit Agarwal, Department of Computer Science, University of Petroleum and Energy Studies, Dehradun (Uttarakhand), India.
³Piyush Maheshwari, Department of Computer Science, Amity University Dubai, Dubai.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 155-158 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90480476C19/2019©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: Cloud Computing technology provides on-demand services to its consumer. This encourages the cloud service providers of offer variety of services to its users. The increasing demand of cloud services has brought several cloud providers in the market offering services having different Quality of services parameters. The user face the challenge in selecting the right services which could meet their requirements. The service selection is therefore a complicated process and is considered an NP hard problem. In order to solve the service selection problem there are various techniques, frameworks and algorithms which are proposed and designed for assisting cloud service selection. In this paper, we explored basics of cloud computing and different types of service selection techniques which are effective in cloud technology. These techniques are classified into multi criteria decision making, trust based, optimization techniques and others. The comparisons among various proposed work of the author are discussed for bringing more clarity in the topic.
Keywords: Cloud Computing, Service Selection, Algorithm.
Scope of the Article: Cloud Computing

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F90470476C19

IJRTE Journal — Sat, 22 Jul 2023 06:39:22 +0000

A Novel Approach in Test Case Selection using Code Coverage Analysis
Nishant Gupta¹, Mayank Singh², Vibhash Yadav³
¹Nishant Gupta, Mahatma Gandhi Mission’s College of Engineering and Technology, Noida (Uttar Pradesh), India.
²Mayank Singh, University of Kwazulu-Natal, Durban, South Africa.
³Vibhash Yadav, Rajkiya Engineering College, Banda (Uttar Pradesh), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 149-154 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90470476C19/2019©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: A process of testing automation is to develop the automated tool which helps and reduce the testing efforts. It should focus on designing and implementation of a tool which automates the testing environment. The testing should also focus on designing and constructing a tool which automates test cases for regression testing. We have given a novel approach which selects the test cases based on code coverage analysis. This paper focuses on calculated operators and operands value on large programs in minimum amount of time and cost. The code coverage has been done using different parameters of Halstead metrics. The values of the different parameter may be used for the test case selection.
Keywords: Halstead Matrix, Regression Testing, Software Testing, Test Case Selection.
Scope of the Article: Predictive Analysis

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F90460476C19

IJRTE Journal — Sat, 22 Jul 2023 06:33:44 +0000

A Framework for Cloud Storage System Based on Information Dispersal Algorithm
Makhan Singh¹, Sarbjeet Singh²
¹Makhan Singh, Department of Computer Science and Engineering, UIET, Panjab University, Chandigarh (Punjab), India.
²Sarbjeet Singh, Department of Computer Science and Engineering, UIET, Panjab University, Chandigarh (Punjab), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 145-148 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90460476C19/2019©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: Cloud computing is the technological model that deliver services on demand services using Internet service as pay and use model. Cloud computing is global abstract idea and there are no boundaries within the Cloud. Cloud computing is used by many organizations for backup their valuable data. The data can be backup over the Cloud servers by user and can be retrieved as and when needed. One of the main disadvantages related to Cloud today is data security. Storage on Cloud is termed as risky because storage is done on third party Cloud service providers. Due to this Cloud user have less control over the stored data. In order to explore full advantages of Cloud computing data security related issues have to be resolved. This paper proposed reliable storage system using information dispersal algorithm popularly known as erasures coding to secure data by splitting the files into parts to get implicit security.
Keywords: Cloud Storage System, Cloud Service Provider (CSP), Download and Upload Time, Erasure Coding, Information Dispersal, Security.
Scope of the Article: Patterns and Frameworks

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F90450476C19

IJRTE Journal — Sat, 22 Jul 2023 06:27:16 +0000

Future Prospects and Challenges in Geospatial Database for Handling of Big Data Concept: A Review
Bhagwant Singh¹, Kingshuk Srivastava², Dharmender Gupta³
¹Bhagwant Singh, University of Petroleum and Energy Studies, India.
²Kingshuk Srivastava, University of Petroleum and Energy Studies, India.
³Dharmender Gupta, University of Petroleum and Energy Studies, India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 140-144 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90450476C19/2019©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: 21st century has marked the advent of Rich-Data concept. Different societal application such as disaster management, urban planning & monitoring, health hazards etc. has reinvigorated the significance of Geographic Information Systems (GIS). Newer and advance technologies are generating means to produce location-based dataset called as geospatial datasets. Increasing influx of user-generated data has amplified geospatial data and has outdid conventional computation requirement limits. The similitude of Big data and data in consideration has evolved the concept and appellation as “Spatial Big Data”(SBD). This paper is an effort towards enlistment and analysis of the different SBD concepts and technologies in the contemporary time. The main endeavor of this paper is to critically analyze the different technologies in the present day and identify the existing technical inadequacies in the existing systems.
Keywords: GIS, Spatial Big Data, Social Media.
Scope of the Article: Big Data Quality Validation

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F90440476C19

IJRTE Journal — Sat, 22 Jul 2023 06:21:15 +0000

Unfurling the Latest Patterns of Entertainment Consumption by Indian Audience: A Twitter Sentiment Analysis
Devesh Lowe¹, Bhavna Galhotra², Yukti Ahuja³
¹Devesh Lowe, Assistant Professor, JIMS Rohini Sector, (Delhi), India.
²Bhavna Galhotra, Assistant Professor, JIMS Rohini Sector, (Delhi), India.
³Yukti Ahuja, Assistant Professor, JIMS Rohini Sector, (Delhi), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 135-139 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90440476C19/2019©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: It is explicit that Online Video programming has emerged on the Indian entertainment landscape and is pleasantly thriving on binge watching, the “anytime, anywhere” content. By far, Television has been the most watched and trusted media for Indian audience but the OTT media has given an alternative channel for entertainment. In this paper the authors investigate viewership metrics by adjudging opinion through Tweets and studying them qualitatively and quantitatively. Tweets have been captured for popular TV shows and trending web series in the year 2018. Results showcase growing fondness for web content and are indicative of web based video programming sustenance. The study is a first of its kind in India meant to explore the urban audience viewership pattern using Twitter Sentiment Analysis.
Keywords: Television, Online Video Program, Web-based Program, Twitter Sentiment Analysis.
Scope of the Article: Patterns and Frameworks

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F90430476C19

IJRTE Journal — Sat, 22 Jul 2023 06:16:10 +0000

Enhanced Ranking and Storage of Search Results using Markov Chain
Swati Jain¹, Ankit Dubey², Mukesh Rawat³
¹Swati Jain, Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut (Uttar Pradesh), India.
²Ankit Dubey, M.Tech Scholar, Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut (Uttar Pradesh), India.
³Mukesh Rawat, Professor, Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut (Uttar Pradesh), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 129-134 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90430476C19/2019©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: Much of the time, we need to retrieve the most excellent response to the data available on various links of archives when given a search query. A practical application of Information Retrieval techniques is a Search Engine which helps in finding the relevant content for the input query. In this paper, we propose an ideal technique for analysis of the hyperlinks by taking the Web as a graph structure and we center around the utilization of hyperlinks for ranking web indexed lists and also provide a technique for storage of search results. This paper also includes various Page Ranking algorithms along with their drawbacks.
Keywords: Link Analysis, Markov Chain, Page Ranking, Search Engine, Webgraph.
Scope of the Article: Storage-Area Networks

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F90420476C19

IJRTE Journal — Sat, 22 Jul 2023 06:09:47 +0000

Vehicular Traffic Noise Reduction using Fuzzy Logic based Active Noise Control System
Manoj Kumar Sharma¹, Renu Vig²
¹Manoj Kumar Sharma, Department of EEE, UIET, Panjab University, Chandigarh (Punjab), India.
²Renu Vig, Department of ECE, UIET, Panjab University, Chandigarh (Punjab), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 124-128 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90420476C19/2019©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: The exposure to the noise emanating from the vehicles is resulting in adverse effects on our health. This requires determined efforts for the alleviation of road noise. The implementation of noise reduction techniques is the need of the hour to safeguard ourselves from the rising traffic noise conditions. This paper aims to investigate prominent vehicular noises in peak traffic conditions in Chandigarh, India and to reduce identified noises using fuzzy logic based active noise control system. A study was conducted to record the sound pressure level at the peak traffic timings during the day using the sound level meter in Chandigarh, India. The vehicle horns are identified as major sources producing high noise levels. The horn noise signals of bus, car, two-wheeler, and three-wheeler were recorded. A Fuzzy Logic based Active Noise Control (ANC) system was developed in MATLAB software and was implemented for the reduction of recorded vehicle horn noises. The performance of the Fuzzy Logic based Active Noise Control system for noise reduction is compared on the basis of error plots, signal to noise ratio (SNR) and mean square error (MSE). The proposed Fuzzy Logic based Active Noise Control (ANC) system is successful in reducing the noise levels of a bus and two-wheeler by 23 dB(A) each. Noise is reduced by 28 dB (A) and 25 dB (A) in the case of car and three-wheeler horn respectively. The fuzzy based ANC system is successful in reducing the noise to comfortable levels which can be implemented in real-time for attaining permissible limits of noise.
Keywords: Traffic Noise, Vehicle Horn Noise, Active Noise Control, Fuzzy Mklogic-Based ANC, Horn Noise Reduction.
Scope of the Article: Fuzzy Logics

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F90410476C19

IJRTE Journal — Sat, 22 Jul 2023 06:02:06 +0000

Optimal Predictive Model for FIFA World Cup
Durgansh Sharma¹, Vaibhava Sharma²
¹Durgansh Sharma, Associate Professor, School of Computer Science, University of Petroleum and Energy Studies, Dehradun (Uttarakhand), India.
²Vaibhava Sharma, Accounts Executive, Finance Team, Next Level Business Services Inc., Noida (Uttar Pradesh), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 118-123 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90410476C19/2019©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: In this research, the proposed deep learning network uses H2O framework using Multi-layer Feed Forward Network. Statistics of the 592 FIFA world cup Matches collected and used to train Naïve Bayes, k-NN and deep learning networks. As observed, the efficiency of deep learning based network is superior as compared with Naïve Bayes and k-NN for prediction of sports especially football/ soccer using dataset of Match result and status. The prediction observed with 97.68% accuracy while keeping the training-testing ratio as 20:80 using Deep Learning using “Max-out with Dropout” activation function. The model k-NN and Naïve Bayes were trained with 80:20 training-testing ratio.
Keywords: Predictive Analytics, Deep Learning, Naïve Bayes, k-NN, FIFA.
Scope of the Article: Predictive Analysis

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F90400476C19

IJRTE Journal — Sat, 22 Jul 2023 05:53:07 +0000

Design and Analysis of Novel Tunable Low Pass Filter with higher cut off Frequency for Application in PLL Frequency Synthesizers
Monika Bhardwaj¹, Sujata Pandey², Neeta Pandey³
¹Monika Bhardwaj, Department of ECE, Amity School of Engineering & Technology, Noida (UP), India.
²Sujata Pandey, Department of ECE, Amity School of Engineering & Technology, Noida (UP), India.
³Neeta Pandey, Department of ECE, Delhi Technological University, (Delhi), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 112-117 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90400476C19/2019©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: This work proposes the design and simulation of a novel Chebyshev low pass filter. This proposed design incorporate the use of floating inductor, resistor and also the grounded resistor with the help of CMOS based operational transconductance amplifier (OTAs). The value of proposed floating inductor can be modified by adjusting the bias current input. The filters are synthesized from 3rd to 5th order low pass LC prototype and designed using ladder structure. All the simulations are done on Verilog AMS. The results of simulation show that the novel structure design exhibit better cut off frequency, tuning range, less ripples as compared with the conventional design. The overall performance of the filter is improved by using floating inductor.
Keywords: Cut off Frequency, Floating Inductor & Resistor, OTA, Transconductance.
Scope of the Article: Frequency Selective Surface

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