Volume-8 , Issue-2 , Apr 2020, ISSN 2320-7639 (Online) Go Back

• Open Access   Article

  Underwater Routing Protocols: Analysis of Intrepid Link Selection Mechanism, Challenges and Strategies

  Shahzad Ashraf, Zeeshan Aslam, Adnan Yahya, Adnan Tahir

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.2 , pp.1-9, Apr-2020

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  Abstract
  The sensor nodes deployed in underwater environment have a different routing mechanism in contrast to the terrestrial network. In order to get underwater information from dynamically deployed senor nodes, a smooth packet transmission must be maintained, which is a crucial challenge, and selecting the best communication link between source and destination node is a key phenomenon. The meticulous research has been conducted to search out the best link selection mythology of bodacious underwater routing protocol EnOR, SURS‐PES and USPF. The performance has been evaluated through NS2 simulation for packet delivery ratio, end-to-end delay, network lifespan and network energy consumption.

  Key-Words / Index Term
  Packet forwarding; relay node; network throughput, underwater routing

  References
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  Citation
  Shahzad Ashraf, Zeeshan Aslam, Adnan Yahya, Adnan Tahir, "Underwater Routing Protocols: Analysis of Intrepid Link Selection Mechanism, Challenges and Strategies," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.2, pp.1-9, 2020

• Open Access   Article

  Covid-19 Cases and Recovery Previsions with Deep Learning Nested Sequence Prediction Models with Long Short-Term Memory (LSTM) Architecture

  Heni Bouhamed

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.2 , pp.10-15, Apr-2020

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  More than 854 thousand COVID-19 cases are confirmed among which at least 176 thousand have recovered as of March. 31, 2020. Success in controlling COVID-19 infections and recoveries requires a timely and accurate monitoring of the epidemic with rather limited data. In this study, we use a Deep Learning nested sequence prediction models with Long Short-Term Memory (LSTM) architecture for the continuous monitoring of the infection and recovering processes. This model was built based on the epidemic data evolution of 79 countries between the date of their first case and March 13, 2020. The data is based on 12 variables for cumulative case number prediction and 13 variables (among which the cumulative number of cases) for cumulative recoveries number prediction. Results are very promising despite the small amount of data provided. The model can evolve and become more accurate by continuously updating and enriching data by adding experiences of all affected countries. To our knowledge, our work is the only one to propose this conduct in the context of COVID-19, generalized for all affected countries. The methods used in this study can be used to inform and encourage the general public, public health professionals, clinicians and decision-makers to take coordinative and collaborative efforts to control the epidemic.

  Key-Words / Index Term
  COVID-19; Deep Learning; LSTM; Nested Sequence Prediction

  References
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  Citation
  Heni Bouhamed, "Covid-19 Cases and Recovery Previsions with Deep Learning Nested Sequence Prediction Models with Long Short-Term Memory (LSTM) Architecture," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.2, pp.10-15, 2020

• Open Access   Article

  Evolving Trends of Selection Criteria for Industrial Suppliers

  Arz Wehbe, Chadi Azoury, Christophe Merlo

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.2 , pp.16-24, Apr-2020

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  Abstract
  The industrial company needs innovation to remain competitive in the global economy. Successful introduction of new products is important to the company survival. However, in the context of partnership and subcontracting, this capacity almost always depends on the performance of suppliers whose contributions to the project can influence both the industrial strategy of the company and the product architecture. In this case, the selection of industrial suppliers must be taken into consideration to minimize any industrial risks. These conditions will have a direct impact and consequences on the technical and technological characteristics of the product, as well as on the duration and overall cost of it. Our work initially illustrates a selection methodology for industrial suppliers. Based on a survey done on more than 50 international companies, we identify the rank of the most used criteria. Then, by using a statistical technique on MATLAB 2019 (Friedman’s analysis), we list the most important criteria for selecting an industrial supplier in 2020.

  Key-Words / Index Term
  Network of industrial supplier, selection methodology of industrial supplier, supplier selection criteria, decision making

  References
  [1] A. Wehbe, "Structuring partners’ selection criteria: application to new product development project (Structuration des critères de sélection de partenaires : application au projet de développement de produits nouveaux)," Toulouse, France, 2011.

  Citation
  Arz Wehbe, Chadi Azoury, Christophe Merlo, "Evolving Trends of Selection Criteria for Industrial Suppliers," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.2, pp.16-24, 2020

• Open Access   Article

  A Deep Model for Meaning-aware Word Embedding

  Amal Bouraoui, Salma Jamoussi, Abdelmajid Ben Hamadou

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.2 , pp.25-31, Apr-2020

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  The context plays an important role in meaning construction and representation. Indeed, words are interpreted differently based on their contexts. Deep neural network have recorded recently a great success in representing the words’ meaning into one vector. Some researchers address the issue of different meaning of a word by constructing different vectors. However, the first category assumes a single state for each word while the second requires either meaning inventories or a preprocessing step to cluster contexts for each word. The latter ignores complicated correlations among words as well as their contexts. In this paper, we investigate another direction consists of representing the word meaning by an evolved vector over its set of context. To this end, we introduce a novel deep model that consists of using auto-encoders recursively based on left/right context around a target word. We evaluate our model on the semantic similarity task. Experimental results demonstrate that our deep model outperforms several competitive models that represent word meaning either with single vector or multiple vectors.

  Key-Words / Index Term
  Deep Learning; Word Embedding; Word meaning; deep neural networks; Auto-encoders; Recursive auto-encoders

  References
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  Citation
  Amal Bouraoui, Salma Jamoussi, Abdelmajid Ben Hamadou , "A Deep Model for Meaning-aware Word Embedding," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.2, pp.25-31, 2020

• Open Access   Article

  Exploring the Status of Geospatial Skills within Local Authorities in Zimbabwe

  Norman Karimazondo

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.2 , pp.32-38, Apr-2020

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  Abstract
  Some evidence for geospatial skills shortage have been revealed by surveys that were done in developed countries such as New Zealand, Australia, the United Kingdom (UK) and the United States of America (USA). However, most of the reported skills shortage are not sector specific and there is lack of information regarding extent of the geospatial skills shortage and its dimensions. In this study, an online survey was done to explore the scope of the geospatial skills shortage within the local authorities in Zimbabwe. The results of the survey indicate that demand for geospatial skills is very high, but supply is critically low with local authorities facing severe shortages particularly in remote sensing skills. Some of the key drivers behind the current geospatial skills shortage are lack of suitably qualified and experienced graduates, higher education training, awareness regarding geospatial technologies and the related career opportunities. This study recommends the development of clear geospatial graduate pathways for recent graduates wishing to gain initial experience in the geospatial industry and supporting current geospatial staff to obtain skills and recognised geospatial qualifications.

  Key-Words / Index Term
  geospatial skills, geospatial technologies, geospatial industry, local authorities, geospatial science, skills shortage

  References
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  Citation
  Norman Karimazondo , "Exploring the Status of Geospatial Skills within Local Authorities in Zimbabwe," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.2, pp.32-38, 2020

• Open Access   Article

  Enhancing Academic Decision making at Higher Educational Institutions using Classification and Clustering Techniques

  Alok Singh Chauhan

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.2 , pp.39-44, Apr-2020

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  Abstract
  The main objective of higher education institutions is to provide quality education to its students. Student`s performance prediction is essential to be conducted for a university to prevent student fail. This paper represents the data mining techniques used for analysing student’s performance. Educational institutions contain an enormous amount of academic database containing student details. These student databases along with other attributes are taken into consideration like family background, family income, etc. It will help us by identifying promising students and by providing us a chance to pay heed and to refine those students who likely get low marks. For answer, we prepare a structure which will analyse the student’s performance from their last performances using concepts of Data Mining under Classification and Clustering techniques like Decision Tree, Neural Network and K-Means Clustering Algorithm. By these techniques we extract knowledge that describes students’ performance in end semester examination.

  Key-Words / Index Term
  Classification, Clustering Decision Tree, and Neural Network

  References
  [1] Ayesha.S et al, “Data Mining Model for Higher Education System”, European Journal of Scientific Research, vol 43, no 1, pp: 24-29, 2010.
  [2] Baradwaj and Pal, “Mining Educational Data to Analyze Students’ Performance”, International Journal of Advanced Computer Science and Applications, vol 2, no. 6, pp: 63-69, 2011.
  [3] Bindushree V., Rashmi G.R., Uma H.R., “Open Access ArticleAnalysis of Text Recognition with Data Mining Techniques”, International Journal of Scientific Research in Computer Science and Engineering (IJSRCSE), Vol.7 , Issue. 6 , pp. 43-45, 2019.
  [4] Edin Osmanbegović and Mirza Suljić, “Data Mining Approach For Predicting Student Performance”, Journal of Economics and Business, Vol. X, Issue 1, 2012.
  [5] Monika Goyal and Rajan Vohra, “Application of Data Mining in Higher Education”, International Journal of Computer Science (IJCSI) Issues, Vol. 9, Issue-2, No.1, pp-113-120, 2012.
  [6] Sembiring, Zarlis, Hartama and Vani, “Prediction of Student Academic Performance by an Application of Data Mining Techniques”, International Conference on Management and Artificial Intelligence, IPEDR vol. 6, 2011, IACSIT Press, Bali, Indonesia.

  Citation
  Alok Singh Chauhan , "Enhancing Academic Decision making at Higher Educational Institutions using Classification and Clustering Techniques," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.2, pp.39-44, 2020

• Open Access   Article

  An Experiment of Animation Development in Hypertext Preprocessor (PHP) and Hypertext Markup Language (HTML)

  Danial Kafi Ahmad, Mariam Farida Ahmad, Mohd Nazmi Ahmad, Abdullah Syafiq Ahmad

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.2 , pp.45-51, Apr-2020

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  Abstract
  Animation is considered as an important element in Computing Industry as well as in Computing Education. This research and experiment were about the development of light animation program which implemented the usage of few web pages to create animation i.e. combination of few different images which were created using combination of Hypertext Preprocessor (PHP) and Hypertext Markup Language (HTML) scripting language. The developed program visualized the animation of a movement of an object which last for approximately TWO (2) seconds per cycle. It was found that the animation is depending on the connection speed as the web page require buffering and jumping (linking) to other web pages. This research demonstrated the usage of basic animation concept which deployed in digital means. Even so, in general, it may be considered that they were not many of animation created using both combination of PHP and HTML, especially in the education aspect. The experiment was conducted by developing a code snippet which integrate the usage of static image. This is as to reflect the usage of basic animation concept to create motion towards the human vision. There were few test cases of program requirement created in order for the code to be executed for testing.

  Key-Words / Index Term
  Animation, Conventional, Clustering, Testing

  References
  [1] A. Sharma, P.K. Misra, “Aspects of enhancing security in software development life cycle,” Advances in Computational Sciences and Technology, Vol. 10, Issue. 2, pp. 203-210.
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  [4] I.F. Amadin, E. Nwelih, “An Empirical Comparison Of: HTML, PHP, COLDFUSION, PERL, ASP .NET, JAVASCRIPT, VBSCRIPT, and PYTON AND JSP. Global”, Journal of Computer Science and Technology, Vol. 10, Issue.12, pp. 9-17, 2010.
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  [6] U. Gulati, W. Vatanawood, “Transforming Flowchart into Coloured Petri Nets,” In Proceedings of the 2019 3rd International Conference on Software and e-Business, pp. 75-80, 2019.
  [7] I.A. Barabanova, O.J. Kravets, S.A. Tkalich, and D.I. Mutin, “Analysis of the intermediate layer work in the three-tier architecture “client-server” of automation engineering problems,” In IOP Conference Series: Materials Science and Engineering, p. 032011, 2019.
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  [10] S.S. Epps, “Discrete mathematics with applications,” Cengage learning, pp. 76-264, 2010.
  [11] A. Spilner, T. Linz, H. Schaefer, “Software Testing Foundations 4th edition,” RockyNook, p 255, 2014.
  [12] N. Honest, "Role of Testing in Software Development Life Cycle", International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp. 886-889, 2019.
  [13] D. Goel, R. Upadhyay, “Effectiveness of use of Animation in Advertising: A Literature Review,” International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue. 3, pp. 146-159, 2017.
  

  Citation
  Danial Kafi Ahmad, Mariam Farida Ahmad, Mohd Nazmi Ahmad, Abdullah Syafiq Ahmad, "An Experiment of Animation Development in Hypertext Preprocessor (PHP) and Hypertext Markup Language (HTML)," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.2, pp.45-51, 2020

• Open Access   Article

  RFID Based Universal Transaction System

  Farida Attar, Amina Bhatkar, S Hasan Haider, Tahir Abbas Kadiwala

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.2 , pp.52-54, Apr-2020

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  Abstract
  Radio Frequency Identification (RFID) makes use of electromagnetic fields to identify objects. This characteristic can be used to identify RFID tags that come in the vicinity of the reader. These tags can be in the form of cards with general details of the user that will allow cashless transactions. As the world is moving towards a digital era, cashless payments are quite in demand. Smart cards that need to be swiped are vulnerable to skimming attacks and data theft. Thus, there is a need to have a cashless transaction system that is fast as well as secure and allows hassle-free transactions. Through this paper, we propose a novel approach to develop a cashless transaction system based on RFID that can be deployed anywhere to enable faster, smoother and secure transactions. The users of the system will have to be pre-registered and all the user related information will be saved in a MySQL database and the system will be programmed using Python. The RFID reader will interact with an Arduino Board and for user input, IR remote will be used.

  Key-Words / Index Term
  RFID, Transaction System, Arduino, MySQL, IR Remote, Python

  References
  [1] Charles Mutigwe and Farhad Aghdasi, Research Trends in RFID Technology, Interim, Vol.1, pp.1-15, 2007.
  [2] Radio Frequency Identification sin the Workplace: Recommendations for Good Practices, A Consultation paper, 2008.
  [3] Roy Want, “An Introduction to RFID Technology,” IEEE CS and IEEE ComSoc, Vol. 5, No. 1, PP. 25-33, 2006,.
  [4] Ahuja, S. and Potti, P., “An introduction to RFID technology. Communications and Network, Vol.2, Issue.3, pp.183-186, 2010..
  [5] Priya L, Aishwaryaa H, Aarthi B, Abirami R “RSPG- RFID Based Smart Payment Gateway” Journal of Chemical and Pharmaceutical Sciences 2016
  [6] Kunal Chaphekar, Anuj Walzade, Vivek Rathod, Chetan Acharekar “Implementation Of Cashless Campus System Using RFID Module”, International Journal Of Science, Engineering And Technology 2014.
  [7] Saaid, Mohammad Farid and Muhammad Naim Handani. “RFID-Based Cashless Payment System.” International Journal of Electrical and Electronic Systems Research, Vol. 7, 2014
  

  Citation
  Farida Attar, Amina Bhatkar, S Hasan Haider, Tahir Abbas Kadiwala, "RFID Based Universal Transaction System," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.2, pp.52-54, 2020

• Open Access   Article

  Educational Sentiments Web Content Extraction and Analysis for Opinion Mining using Clustering Techniques

  Sanjay Singh Bhadoria, Dhanraj Verma

  Review Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.2 , pp.55-58, Apr-2020

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  Abstract
  The number of data produced across the world is increasing and could keep on growing at an accelerating rate for years to come. At organizations total businesses, servers have been overflowing with usage logs, transaction records, message flows and business operations records, detector data along with cell device data. Given such large sizes of text data sets, mining programs, that arrange the writing data sets into structured knowledge, will enhance efficient document access. There`s a demand for a highly effective method to categorize and analyze web reviews being a significant statistics investigation. The task of refining and assessing such collective net information together is called opinion mining, also it is also called Sentiment Analysis. We compare clustering techniques such as EM, K-Means, and Farthest First – in density and distance modes – with a threshold partitioning technique on the resulting two-dimensional data. These clustering techniques are also enhanced with the use of histogram smoothing techniques. We then evaluate our approach using standard accuracy, precision and recall metrics.

  Key-Words / Index Term
  Educational Data Mining, Sentimental Analysis, Opinion Mining, Classification, Clustering Techniques, Learning Analytics etc.

  References
  [1] Blei, D. M., Ng, A. Y., and Jordan, M. I. 2001. Latent dirichlet allocation. Advances in neural information processing systems. 601-608.
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  [4] Chen, Z., Wu, O., Zhu, M., and Hu, W. 2006. A novel web page filtering system by combining texts and images. Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, 732–735. Washington, DC IEEE Computer Society.
  [5] Cohen, W. 2002. Improving a page classifier with anchor extraction and link analysis. In S. Becker, S. Thrun, and K. Obermayer (Eds.), Advances in Neural Information Processing Systems (Vol. 15, Cambridge, MA: MIT Press) 1481– 1488.
  [6] Dumais, S. T., and Chen, H. 2000. Hierarchical classification of web content. Proceedings of SIGIR`00, 256-263.
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  Citation
  Sanjay Singh Bhadoria, Dhanraj Verma, "Educational Sentiments Web Content Extraction and Analysis for Opinion Mining using Clustering Techniques," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.2, pp.55-58, 2020

• Open Access   Article

  Digital Data Growth and the Philosophy of Digital Universe in View of Emerging Technologies

  Srinivasa Rao Gundu, T. Anuradha

  Review Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.2 , pp.59-64, Apr-2020

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  Abstract
  Today cloud computing is a power full tool for the IT industry and private individuals. Cloud service providers make available their services to their clients with help of web based support with some subscription model at affordable prices. Massive data can be stored, processed in the device independent and location independent computational format which is a major advancement of this century. Social media is a field assisted by cloud computing had a serious issue with the digital data growth, due to un-necessary postings in social media. As per a survey this digital garbage data produced by the netizens would be equal to 45 billion terabytes approximately. Most of the computer usage will create some sorts of digital traces in the systems and also in the network. Digital data growth issue has aroused due to the non-computer science professionals with less ethical and moral practices handling the sophisticated gadgets. One can never erase any data stored in the computer and in the other devices, even though performing either by deletion or by formatting. Therefore every netizens needs to be responsible and make his transactions to be meaningful.

  Key-Words / Index Term
  Cloud Computing, Cloud Service Providers, Web Based Support, Social Media ,Digital Data Growth ,Digital Garbage Data, Netizens, Sophisticated Gadgets.

  References
  [1] R. Sood, R. Sharma, "Cloud Security Threats and Issues-A Review", International Journal of Computer Sciences and Engineering, Vol.5, Issue.4, pp.115-119, 2017.
  [2] Vikas Mongia, Deepak Kumar, "Resource Allocation in Cloud Computing: A Review", International Journal of Computer Sciences and Engineering, Vol.06, Special Issue.05, pp.79-84, 2018.
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  Citation
  Srinivasa Rao Gundu, T. Anuradha, "Digital Data Growth and the Philosophy of Digital Universe in View of Emerging Technologies," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.2, pp.59-64, 2020