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• Open Access   Article

  Study on Web Services Architectural Operations and Performance

  Shahanawaj Ahamad

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.4 , pp.1-13, Aug-2020

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  Abstract
  The applications of World Wide Web facilitated to get entry to diverse data available in different sources on the Internet. The success of the Web was somehow limiting because of poor discovering processes to find these data over Internet resources. For solving the shortcomings, some modifications were suggested into Web-based systems. The environment of Web was completely changed through these innovative modifications. For implementing interactive Web operations, traditional data has changed from static documents collection to dynamic intelligent data integrated over Web-based systems. The proposed modifications were implemented in the form of a pioneer technology called as Web services (WS). This paper presents a study conducted about Web services interactions, interoperability, architecture, operations and performance. The paper presents about architectural operations of Web services and how they are implemented to make Web services functional. It also highlights performance issues and entails the applied solutions. Web services are the fundamental elements of service-oriented systems to make them interactive and functionable

  Key-Words / Index Term
  Web service; Web service architecture; Semantic web service; UDDI; Web service discovery; PRISMA

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  Citation
  Shahanawaj Ahamad, "Study on Web Services Architectural Operations and Performance," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.4, pp.1-13, 2020

• Open Access   Article

  Functional Requirements Prioritization using Graph and Sorting Algorithm

  Muhammad Yaseen, Aida Mustapha, Shams Uz Zaman, Abdullah Khan, Atta Ur Rahman, Inayat Ur Rahman

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.4 , pp.14-22, Aug-2020

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  Abstract
  Requirements prioritization is an important activity conducted during requirement engineering phase. Prioritization of software requirements become more important and difficult when size of requirements is large. The existing techniques such as Analytic Hierarchical Process (AHP) which are although considered to be reliable techniques and yield more accurate results but doesn?t applicable for large size requirements due to too much pairwise comparisons. Using Directed Acyclic Graph (DAG) and Depth Frist Search (DFS) algorithm, FRs can be prioritized with minimum time complexity. Beside, existing prioritization techniques that are suitable to prioritize all types of requirements are not applied for functional requirements (FRs) from development perspective. Suggested prioritization approach using DAG and DFS is applied on FRs ODOO ERP as case study and results are compared with other techniques i.e. AHP, Binary Search Tree (BST) and Cumulative Voting (CV) for time complexity. The outcome of comparison shows that suggested technique produce more better results with less time complexity

  Key-Words / Index Term
  Functional Requirements, Prioritization, Depth First Search, Directed Acyclic Graph

  References
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  Citation
  Muhammad Yaseen, Aida Mustapha, Shams Uz Zaman, Abdullah Khan, Atta Ur Rahman, Inayat Ur Rahman, "Functional Requirements Prioritization using Graph and Sorting Algorithm," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.4, pp.14-22, 2020

• Open Access   Article

  A Novel Approach Using Deep Neural Networks and Particle Swarm Optimization for Query Optimization in Distributed Databases

  CH.V.M.K. Hari, Prasad Reddy P.V.G.D

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.4 , pp.23-31, Aug-2020

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  Abstract
  The distributed database system technology is one of the vital developments in today?s database system area because data cannot be located and served from one location. The people cannot establish infrastructure for storing large amounts of data due to several reasons like performance, throughput, response time, and cost. Grid and Cloud Computing are one of the best ways to manage these problems. Data Access from the internet comes from distributed database that is served from multiple databases. Distributed Database Management Systems (DDBMS) is software acts as interface between user and Distributed Database. To retrieve the data fast efficient in Distributed Database, query optimization techniques are required. Query optimization is a method of finding best query plan from several alternatives by considering CPU time, I/O time, Join Operation Cost, Cartesian product, Communication Cost, Projection etc. Generally query optimization process is carried in two stages first one is local optimization and second one is global optimization. In this paper a novel approach proposed for Query Optimization using Particle Swarm Optimization (PSO) for local optimization and Deep Neural Networks (DNN) for global optimization is used. The local optimization algorithm-PSO deals with parameter tuning of Join Operation Cost and Processing Cost from local sites. The Global Optimization-DNN algorithm deals with Total Communication Cost from learning with remote databases. The experimentation is done with number of relations distributed over different sites with homogenous and heterogeneous environment using MATLAB and INFORMATICA, and results are presented. The average query execution costs of proposed model optimizations are compared with existing models from literature. The performance analysis of proposed model is done based on cost for Join operations, cost for processing the query locally, and cost for communication. The results shows proposed approach using DNN-PSO gives better performance

  Key-Words / Index Term
  Query Optimization; Particle Swarm Optimization; Deep Learning; Distributed Database; Artificial Intelligence

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  Citation
  CH.V.M.K. Hari, Prasad Reddy P.V.G.D, "A Novel Approach Using Deep Neural Networks and Particle Swarm Optimization for Query Optimization in Distributed Databases," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.4, pp.23-31, 2020

• Open Access   Article

  An Approach to Improve the Performance of MTF Algorithm in List Accessing Problem

  Pujarani Nanda, Shiba Prasad Dash

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.4 , pp.32-36, Aug-2020

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  Abstract
  A linear search problem having self organizing capacity is known as List Accessing Algorithm. In linear search the set of elements are accessed conclusively from the start of the list in a fixed size unsorted linear list. By performing exchanges we can reorganize the list. Because of reorganization of elements in the list, when an element is accessed the access cost for following elements is decreased with decreasing total access cost. General operation is performed on the data structure such as insertion, deletion and access that data structure is called as unsorted linear list. Present time, in literature Move to Front (MTF) algorithm is one of the leading online List Accessing algorithm. The current work aims to propose an exceptional algorithm to reduce the cost of accessing element. It should be faster to optimize the cost of searching. The algorithm is based on the perception of separate chaining method of Hash Function and MTF List Accessing Algorithm

  Key-Words / Index Term
  List Accessing Problem, Data Structure, Move to Front Algorithm, Hash Technique

  References
  [1] J. McCabe, ?On serial files with relocatable records,? Operations Research, Vol.12, pp.609-618, 1965.
  [2] J. H. Hester and D. S. Hirschberg, ?Self ?organizing linear search,? ACM Computing Surveys, Vol.17, pp.295-312, 1985.
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  [6] R. Mohanty, B. Sharma, and S. Tripathy, ?Characterization of Request Sequences for List Accessing Problem and New Theoretical Results for MTF Algorithm,? International Journal of Computer Applications, Vol.22, pp.0975-8887, 2011.
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  [8] D. Rout, "Experimental Analysis of Hybridized MTF- TRANS-FC (H-M-T-FC) Algorithm". International Journal of Research in Advent Technology , Vol.1, Issue 5, pp.85-91, 2013.
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  [10] A. Mishra, "A Study of Some List Accessing Algorithm And Novel Analytical Results," International Journal of Computer Trends and Technology,, Vol.4, Issue 6, pp.1641-1649, 2013.
  [11] S. K. Panda, "A novel algorithm for list accessing problem," 2014 Seventh International Conference on Contemporary Computing, Noida, India, pp. 154-159, 2014.
  [12] R. Bachrach, R. EI-Yaniv, and M. Reinstadtler, ?on the competitive theory and practice of online list accessing algorithms,? Algorithmica, Vol.32, No.2, pp. 201-245, 2002.
  [13] R. Mohanty, S. P. Dash, B. Sharma , and S. Patel, ?Performance Evaluation Of A Proposed Variant of Frequency Count(VFC),? International Journal of System, Algorithms and Applications, Vol.2, pp.2277-2677, 2012.
  [14] R. Rivest, ?On Self-Organizing sequential Search Heuristics,? IEEE Computer Society, pp.122-126, 1974.
  [15] B. Samanta and S. P. Dash, ?A novel hybrid method to list accessing problem using BIT algorithm,? International Conference on Man and Machine Interface, Bhubaneswar, India, pp.1-5, 2015.
  [16] S. Angelopoulos, R. Dorrigiv, and A. Lopez-ortiz, ?List Update With probabilistic Locality of Reference,? Information Processing Letters, Vol.112, No.13, pp.540-543, 2012.

  Citation
  Pujarani Nanda, Shiba Prasad Dash, "An Approach to Improve the Performance of MTF Algorithm in List Accessing Problem," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.4, pp.32-36, 2020

• Open Access   Article

  Innovative Techbin: A Solution for Green City

  Dhruv Vohra, Gunjan, Anju Gandhi

  Review Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.4 , pp.37-45, Aug-2020

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  Abstract
  Innovative Tech Bin is an Internet of things (IoT) based smart waste collection and management model. It is developed with the idea of a "green city clean city". In, India the population is increasing day by day which is ultimately leading to the production of garbage in huge amounts. According to the latest researches Urban India produces approximately 70 million tonnes of garbage out of which 50 million tonnes are collected and rest are being treated. Tech bin is the modern solution for the traditional problem being carried over for decades. It is loaded with plenty of sensors some of them are ultrasonic sensor, fill level sensor, weighing sensors, safety sensor, etc. We have connected the Tech Bin through the cloud services to different portals as we have developed an interactive graphical user interface (GUI) application for the users using the bin. We can monitor our bins in real-time using the Google API assistance; using machine learning algorithms on the data collected from bins we are generating smart routes for garbage collection. Adding to it we have an innovative feature linked with our bin, a game portal build using the python programming language has various levels and different games on it. But the crux of adding it was too motivate youth in throwing garbage into our bins and in reward they get a validation code if they dump 1kg or more, if not it is stored onto their account which they can keep a check on our application

  Key-Words / Index Term
  Smart cities; Techbin; Smartbin; Environment; IoT; Garbage Monitoring System; Smart Devices

  References
  [1] Ahmad S, Imran, Jamil F, Iqbal N, Kim D. Optimal Route Recommendation for Waste Carrier Vehicles for Efficient Waste Collection: A Step Forward Towards Sustainable Cities. IEEE Access.Volume-8, Page no-77875-77887, 2020.
  [2] Xenya M, D`souza E, Woelorm K, Nii Adjei-Laryea R, Baah-Nyarkoh E. A Proposed IoT Based Smart Waste Bin Management System with An Optimized Route: A Case Study of Ghana. 2020 Conference on Information Communications Technology and Society (ICTAS). 2020.
  [3] Pereira W, Parulekar S, Phaltankar S, Kamble V. Smart Bin (Waste Segregation and Optimisation). 2019 Amity International Conference on Artificial Intelligence (AICAI). 2019.
  [4] Ziouzios D, Dasygenis M. A Smart Recycling Bin for Waste Classification. 2019 Panhellenic Conference on Electronics & Telecommunications (PACET). 2019.
  [5] Jayson M, Hiremath S, H.R. L. SmartBin-Automatic waste segregation and collection. 2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC). 2018.
  [6] Mahmood I, Zubairi J. Efficient Waste Transportation and Recycling: Enabling technologies for smart cities using the Internet of Things. IEEE Electrification Magazine. Volume-7,Issue-3,Page no-33-43. 2019
  [7] Aguila J, Dimayuga H, Pineda K, Magwili G. Development of Smart Waste Bin with Integrated Volume and Weight Sensor. 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ). 2019.
  [8] Alsbou N, Samad M, Alhashem M, Abuabed A. Developing a Self-Powered Enlarging Smart Waste Bin. 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC). 2018.
  [9] Savita K, Luqmanulhakim, Muniandy M, Mathiyazhagan K. Smart Event Management Waste Bin. 2018 4th International Conference on Computer and Information Sciences (ICCOINS). 2018.
  [10] Jana B, Roy P, Sengupta S, Porey S, Sen R. GSM controlled location specific garbage collecting Smart-bin. 2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON). 2019.
  [11] Neetha, Sharma S, Vaishnavi V, Bedhi V. Smart bin ? An ?Internet of Things? approach to clean and safe public space. 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 2017.
  [12] Joshi J, Reddy J, Reddy P, Agarwal A, Agarwal R, Bagga A et al. Cloud computing based smart garbage monitoring system. 2016 3rd International Conference on Electronic Design (ICED). 2016.
  [13] Sathish A, Prakash M, Jainulabudeen S, Sathishkumar R. Intellectual trash management using Internet of Things. 2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC). 2017.
  [14] Wijaya A, Zainuddin Z, Niswar M. Design a smart waste bin for smart waste management. 2017 5th International Conference on Instrumentation, Control, and Automation (ICA). 2017.
  [15] Srinivas M, Benedict S, Sunny B. IoT Cloud based Smart Bin for Connected Smart Cities - A Product Design Approach. 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT). 2019.
  [16] Poddar H, Paul R, Mukherjee S, Bhattacharyya B. Design of smart bin for smarter cities. 2017 Innovations in Power and Advanced Computing Technologies (i-PACT). 2017.
  [17] Murugaanandam S, Ganapathy V, Balaji R. Efficient IOT Based Smart Bin for Clean Environment. 2018 International Conference on Communication and Signal Processing (ICCSP). 2018.
  [18] Mustafa M, Ku Azir K. Smart Bin: Internet-of-Things Garbage Monitoring System. MATEC Web of Conferences. 2017;140:01030.
  [19] Rajesh D, Cindhuja S, Dhivya Lakshmi K, Jaisheela P. Intelligent Trolley based on Internet of Things (IJCSE) Vol.8, Issue.6, June 2020.
  [20] Shailja S,Sheeba k. Analysis of Cloud Security, Performance, Scalability and Availability in SPSA: (IJSRNSC) Volume-7, Issue-1, March 2019.

  Citation
  Dhruv Vohra, Gunjan, Anju Gandhi, "Innovative Techbin: A Solution for Green City," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.4, pp.37-45, 2020

• Open Access   Article

  LoRa equipped Unmanned Aerial Vehicle prototype for Energy Efficient Wireless Data Gathering

  Phedra Zriba, Raik Aissaoui

  Survey Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.4 , pp.46-50, Aug-2020

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  Abstract
  After used in military applications, UAV (Unmanned Aerial Vehicle) are emerging in many applications such as communication relaying, traffic control. They can reach far and isolated areas. However, the major drawback of drone?s communications is the lack of communication coverage or power inefficiency. Many researches have focused on increasing the range of coverage with different technologies. In this paper, we study LoRa (Long-Range) protocol and implement LoRa equipped Unmanned Aerial Vehicles prototype. We prepared two LoRa Cards one for the drone and the other for the ground devices. Then, we programmed the microcontroller. For the result, we did a free flight final test with drone. In this test, we noticed the variation of the two value of drone when the drone is on motion

  Key-Words / Index Term
  UAV, LoRa, Energy efficiency, Communication coverage

  References
  [1] Eze, E.C., Zhang, S., Liu, E. et al. Advances in vehicular ad-hoc networks (VANETs): Challenges and road-map for future development. Int. J. Autom. Comput. 13, 1?18 (2016). doi.org/10.1007/s11633-015-0913-y
  [2] K. Kanistras, G. Martins, M. J. Rutherford and K. P. Valavanis, "A survey of unmanned aerial vehicles (UAVs) for traffic monitoring," 2013 International Conference on Unmanned Aircraft Systems (ICUAS), Atlanta, GA, 2013, pp. 221-234, doi: 10.1109/ICUAS.2013.6564694.
  [3] L. Casals, B. Mir, R. Vidal, and C. Gomez, ?Modeling the Energy Performance of LoRaWAN,? Sensors, vol. 17, no. 10, p. 2364, Oct. 2017.
  [4] V. Sharma, I. You, G. Pau, M. Collotta, J. Lim, and J. Kim, ?LoRaWAN-Based Energy-Efficient Surveillance by Drones for Intelligent Transportation Systems,? Energies, vol. 11, no. 3, p. 573, Mar. 2018.
  [5] J. Petajajarvi, K. Mikhaylov, A. Roivainen, T. Hanninen and M. Pettissalo, "On the coverage of LPWANs: range evaluation and channel attenuation model for LoRa technology," 2015 14th International Conference on ITS Telecommunications (ITST), Copenhagen, 2015, pp. 55-59, doi: 10.1109/ITST.2015.7377400.
  [6] J. Martinez-Caro and M. D. Cano, "IoT System integrating unmanned aerial vehicles and lora technology: a performance evaluation study", Hindawi Wireless Communications & Mobile Computing, vol. 2019, pp 1530-8669, doi: https://doi.org/10.1155/2019/4307925.
  [7] A. Moheddine, F. Patrone and M. Marchese, "UAV and IoT Integration: A Flying Gateway," 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Genoa, Italy, 2019, pp. 121-122, doi: 10.1109/ICECS46596.2019.8965135.
  [8] Akshay Gadre, Revathy Narayanan, and Swarun Kumar. 2018. Maintaining UAV Stability using Low-Power WANs. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom ?18). Association for Computing Machinery, New York, NY, USA, 738?740. DOI:https://doi.org/10.1145/3241539.3267747
  [9] H. Lee and K. Ke, "Monitoring of Large-Area IoT Sensors Using a LoRa Wireless Mesh Network System: Design and Evaluation," in IEEE Transactions on Instrumentation and Measurement, vol. 67, no. 9, pp. 2177-2187, Sept. 2018, doi: 10.1109/TIM.2018.2814082.

  Citation
  Phedra Zriba, Raik Aissaoui, "LoRa equipped Unmanned Aerial Vehicle prototype for Energy Efficient Wireless Data Gathering," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.4, pp.46-50, 2020

• Open Access   Article

  Speech Recognition for COVID-19 Keywords Using Machine Learning

  Wael Ben Amara, Amani Touihri, Salma Hamza

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.4 , pp.51-57, Aug-2020

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  Abstract
  As of June 01, 2020, coronavirus disease, 2019 (COVID-19) has been confirmed in 7,274,000 people worldwide, affecting over 213 countries. It becomes a major healthcare challenge around the world to counter this novel epidemic. The aim of this study is to investigate the detection of patients with suspected COVID-19 infection through phone calls. Artificial Neural Network (ANN) and Support Vector Machine (SVM) classifiers for detection to COVID patients are built and their performances are compared. Experiments were carried out on Arabic speech signals of recorded phone calls. From speech signals, relevant feature extraction of keywords is achieved. The results are very promising. We have reached 97% accuracy. Thanks to this classification, we would be able to know if the recorded call deserves a callback or not which would ease the workload on the health care system. The model can evolve by building better and more solid classifiers that can be used in public security when it comes to analyzing phone calls

  Key-Words / Index Term
  COVID-19; Support Vector Machine; Artificial Neural Network

  References
  [1] A. S. S. Rao, and J. A. Vazquez, ?Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone-based survey in the populations when cities/towns are under quarantine," Infection Control & Hospital Epidemiology, vol.41 no 7, pp. 826-830, 2020.
  [2] O. Abdel-Hamid, A. Mohamed, H. Jiang, L. Deng, G. Penn, and Y. Dong, ?Convolutional neural networks for speech recognition,? Journal of IEEE/ACM Transactions on audio, speech, and language processing, Vol.22, pp.1533-1545, 2014.
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  [4] R. Vaishya, M. Javaid, I. H. Khan et A. Haleem, ?Artificial Intelligence (AI) applications for COVID-19 pandemic,? Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 2020.
  [5] S. K. Gaikwad, B. W. Gawali, and P. Yannawar, ?A review on speech recognition technique,? International Journal of Computer Applications, vol. 10, no 3, pp. 16-24, 2010.
  [6] H. Bouhamed, ?Covid-19 cases and recovery previsions with deep learning nested sequence prediction models with long short-term memory (LSTM) architecture,? Int. J. Sci. Res. in Computer Science and Engineering, vol. 8, no 2, 2020.
  [7] L. Yan, H. Zhang, Y. Xiao, et al. ?Prediction of survival for severe Covid-19 patients with three clinical features: development of a machine learning-based prognostic model with clinical data in Wuhan,? medRxiv, 2020.
  [8] Z. I. Khan, Y. Javed, and K.N. Shmasi ?Correlation study of New Cases, Deaths, Recoveries and Temperature with Machine Learning during COVID-19 spread in Saudi Arabia,? Int. J. Sci. Res. in Computer Science and Engineering, vol. 8, no 3, 2020.
  [9] B.W. Schuller, D.M. Schuller, K. Qian, J. Liu, H. Zheng, and X. Li ?Covid-19 and computer audition: An overview on what speech & sound analysis could contribute in the SARS-CoV-2 Corona crisis,? arXiv preprint arXiv:2003. 11117, 2020.
  [10] E. Guresen, and G. Kayakutlu, ?Definition of artificial neural networks with comparison to other networks,? Procedia Computer Science, vol. 3, pp. 426-433, 2011.
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  [12] C. Campbell, and Y. Ying. ?Learning with support vector machines,? Synthesis lectures on artificial intelligence and machine learning, vol. 5, no. 1, pp. 1-95, 2011.
  [13] P. Virtanen, R. Gommers, T.E. Oliphant, Haberland, M. Haberland, T. Reddy, D. Cournapeau, ... & van der Walt, S. J. SciPy 1.0: ?fundamental algorithms for scientific computing in Python. Nature methods,? vol. 17, no 3, pp. 261-272, 2020.
  [14] D. P. Kingma, and Ba. Jimmy ?Adam: A method for stochastic optimization,? arXiv preprint arXiv:1412.6980, 2014.
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  [16] Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., ... & Vanderplas, J. ?Scikit-learn: Machine learning in Python,? the Journal of machine Learning research, vol. 12, p. 2825-2830, 2011.

  Citation
  Wael Ben Amara, Amani Touihri, Salma Hamza, "Speech Recognition for COVID-19 Keywords Using Machine Learning," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.4, pp.51-57, 2020

• Open Access   Article

  IoT Based Biometric Attendance System for Smart Classroom

  Anagha Jadhav, Sudarshan Dutonde, Archana Todarmal, Ashwini Patil

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.4 , pp.58-67, Aug-2020

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  Abstract
  In all education organizations or institutions taking daily attendance of students in classes is a very important factor. All most in all educational institutes, the daily attendance is taken in a traditional way. The attendance is taken manually using an attendance register book and then week or month-wise this attendance is filled on server to find the attendance report of each student. This is a very time consuming process and it also wastes some time from lecture period. To overcome this, we have proposed and implemented IoT based student?s attendance system for the smart college campus. We have designed a portable device with a fingerprint scanner to recognize the attendance of students on the biometric parameter. The captured attendance of the lecture will be sent to the remote server using Wi-Fi. We have also implemented the windows application which will be provided as a dashboard for faculty and students to view the attendance report remotely anytime, anywhere. Implemented system will improve the accuracy of attendance recording due to biometric features and also save the time of the teacher during the lecture

  Key-Words / Index Term
  Fingerprint, NodeMCU ESP8266, SQL, Wi-Fi, Windows application

  References
  [1] L.ARUNKUMAR, A.ARUN RAJA , ?Biometric Authentication using Raspberry Pi?, International Journal for Trends in Engineering & Technology, volume 5, Issue 2, May 2015 - ISSN: 2349 ? 9303
  [2] D. Santhi priya, Mr.M.UMASANKAR, ?Modern attendance system using Raspberry Pi?, International Research Journal of Engineering and Technology (IRJET), Volume: 03 Issue: 08 | Aug-2016, p-ISSN: 2395-0072.
  [3] Anilkumar Patil, Akash Mahla, Sonica Sonawane? IoT based attendance system? , International Research Journal of Engineering and Technology (IRJET), Volume: 04 Issue: 02 | Feb -2017 p-ISSN: 2395-0072
  [4] Nadar Prince, Abhishek Sengupta, Ms.Keerthi Unni , ?Implementation of IoT Based Attendance System on a Dedicated Web-Server?, International Journal of Scientific & Engineering Research, Volume 7, Issue 6, June-2016, ISSN 2229-5518.
  [5] Piyush Devikar, Ajit Krishnamoorthy, Aditya Bhanage, Mohit Singh Chauhan, ?IoT Based Biometric Attendance System?, IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Special Issue 2, October 2016.
  [6] Mahesh Sutar, Mahesh Patil , Sachin Waghmare, ? Smart Attendance System Using RFID In IOT?, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), Volume 5, Issue 4, April 2016.
  [7] Rajan Patel, Nimisha Patel, Mona Gajjar, ?Online Students? Attendance Monitoring System in Classroom Using Radio Frequency Identification Technology: A Proposed System Framework?, International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, Volume 2, Issue 2, February 2012.
  [8] Ching Hisang, Chang, ?Smart Classroom Roll Caller System with IOT Architecture?, Second International Conference on Innovations in Bio-inspired Computing and Applications, IEEE Xplore: 03 January 2012.
  [9] S. Arun Kumar, T. M. Acchuthan, P. Shanmugaselvam, ? SMART ATTENDANCE SYSTEM USING RASPBERRY PI AND ULTRASONIC SENSOR? , International Journal on Recent Researches in Science, Engineering & Technology (IJRRSET),March 2019.
  [10] Sifatnur Rahman, Mahabur Rahman, Md Mijanur Rahman, ?Automated Student Attendance System using Fingerprint Recognition?, Edelweiss Applied Science and Technology?, Volume 2 Issue 1 |, ISSN: 2576-8484, Jan 31, 2018
  [11] Pradeep Kumar M S, Dr. K. Suresh, Indumati T, Kishor kumar, ? Smart Attendance System using Raspberry Pi?, International Journal of Trend in Scientific Research and Development (IJTSRD), UGC Approved International Open Access Journal, ISSN No: 2456 ? 6470, Volume - 1 | Issue ? 5, July-Aug 2017
  [12] L.S. Ezema, C.K.A. Joe-Uzuegbu, J. N. Eneh and I. Amanze, ?FINGERPRINT BASED ATTENDANCE MANAGEMENT SYSTEM?, International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July-2015
  [13] A.Arunraja, Dr.G.M.Rajathi, S.Mathumitha, ?Smart Attendance System Using Esp8266?, International Journal of Scientific & Technology Research, Vol. 8, Issue 09, September 2019.
  [14] THEIN, M. M. M., & CMNHM, T. ?STUDENTS? ATTENDANCE MANAGEMENT SYSTEM BASED ON RFID AND FINGERPRINT READER?, INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, VOL. 4, ISSUE 07, JULY 2015, 30-38
  [15] Aniket Shete , Prashant Nangare, Rahul Thakre ?IoT Based Portable Attendance Device using Bio-metric system ?, International Research Journal of Engineering and Technology ,Volume: 04 Issue: 05 | May -2017, e-ISSN: 2395 -0056
  [16] Tripti Jain, Urvashi Tomar, Umang Arora and Swati Jain ,?IOT BASED BIOMETRIC ATTENDANCE SYSTEM?, International Journal of Electrical Engineering Technology ,Volume 11,Issue 2, March-April 2020, ISSN Print: 0976-6545
  [17] Ms. Jagruti J. Rane, Ms. Snehal A. Deshmukh , Ms. Ashwini R. Garde, ? IOT Based Biometric Attendance System? Resincap Journal of Science and Engineering, Volume 2, Issue 4 April 2018 ISSN: 2456-9976
  [18] Sameer Kanse, Monish Shaikh, Siddesh Gadhari, Pravin Labde, Prof. Anuprita Gawande ?Biometric Student Attendance System using IoT?, International Journal of Scientific Research and Review ,Volume 07, Issue 04, April 2019, ISSN No.: 2279-543X

  Citation
  Anagha Jadhav, Sudarshan Dutonde, Archana Todarmal, Ashwini Patil, "IoT Based Biometric Attendance System for Smart Classroom," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.4, pp.58-67, 2020

• Open Access   Article

  Stateless Optimization Scheme for IPv6 Address Assignment in Wireless Sensor Network(WSN)

  Emmanuel Ackerson, Ferdinand Katsriku, Jamal-Deen Abdulai

  Survey Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.4 , pp.68-77, Aug-2020

  Abstract

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  Abstract
  Wireless Sensor Network (WSN) is made up of several tiny radio-equipped sensors connected to autonomously form networks, deployed in mostly hard-to-reach areas to gather and disseminate information on a phenomenon. In Sensor Network (SN) one of the primary requirements is addressing but this comes with an additional cost; the construction and maintaining of these addresses adversely constraint the limited resources of sensor nodes especially taking into cognizance that it is mostly deployed in remote areas. Every bit transmitted in terms of exchange messages during the address acquisition process weakens the lifespan of the sensor network. In this paper, we proposed a scheme for IPv6 address assignment in WSN. Several sensors nodes are arbitrary grouped into clusters, and by using the division method of the hash function: h(k) = k mod m, a new ID for a new sensor node seeking a cluster membership to the network is generated, and uniqueness verified. In accordance with an adopted IPv6 address structure, an IP address is assigned to the new sensor node. The proposed scheme is implemented using NS-3, evaluation results show that the designed technique for performing DAD significantly minimizes exchange messages between nodes and thereby optimizes the address assignment process by reducing time, cost of configuration and energy consumption, and improve latency

  Key-Words / Index Term
  WSN; Sensor; Duplication Address Detection; IP Address; IPv6 network

  References
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  Citation
  Emmanuel Ackerson, Ferdinand Katsriku, Jamal-Deen Abdulai, "Stateless Optimization Scheme for IPv6 Address Assignment in Wireless Sensor Network(WSN)," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.4, pp.68-77, 2020

• Open Access   Article

  A Dynamic DNA Cryptography Using RSA Algorithm and OTP

  Poojashree Kamble, Firoz Nagarchi, Akshata Akkole, Vanishree Khanapur, Bahubali Akiwate

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.8 , Issue.4 , pp.78-82, Aug-2020

  Abstract

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  Citation

  Abstract
  A Dynamic DNA Cryptography Using RSA Algorithm and OTP is a combination of algorithm like RSA and One Time Pad key generation that are getting used for Encryption and Decryption of plain text, image, audio and video that are converted from binary numbers into a DNA sequence. MAC Address is unique identification which helps to connect one or more nodes and from which the information is transmitted from one node to another node in secured fashion. The method of cryptography, which is a secured path while reworking of confidential information over the wireless networks. If the key used in the OTP is randomly generated and not used extra than once, then the algorithms are considered to be completely unbreakable. This technique does not provide unauthorized data access

  Key-Words / Index Term
  DNA Cryptography, Encryption, Decryption, Cryptography, One Time Pad

  References
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  Citation
  Poojashree Kamble, Firoz Nagarchi, Akshata Akkole, Vanishree Khanapur, Bahubali Akiwate, "A Dynamic DNA Cryptography Using RSA Algorithm and OTP," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.4, pp.78-82, 2020