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• Open Access   Article

  The Categorization of Documents Using Support Vector Machines

  Daljeet Kaur Khanduja, Surjeet Kaur

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.11 , Issue.6 , pp.1-12, Dec-2023

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  Abstract
  Support vector machine (SVM) is a popular machine learning algorithm. It first converts the input data into a higher dimensional space using a collection of mathematical operations known as kernels, and then it classifies the data points into discrete clusters. In this paper we use a dataset that correlates to scientific article abstracts. The articles fall into four categories: astro-physics, computer science, math, physics. This paper`s goal is to use support vector machines (SVM) to predict a given document`s category based on its text. Then, it will compare the accuracy and F-Score of each SVM`s performance using a linear, polynomial, Gaussian radial basis function kernel. Subsequently, SVM is utilized as a binary classifier for classification tasks, and the classification algorithms` performance is assessed using the confusion matrix. The trade-off between the model`s sensitivity and specificity is compared and visualized using the receiver operating characteristic (ROC) curve, which is a measure of a classifier`s prediction quality.

  Key-Words / Index Term
  Classification, supervised learning, support vector machines (SVM), linear kernel, polynomial kernel, Gaussian radial basis function (RBF) kernel.

  References
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  Citation
  Daljeet Kaur Khanduja, Surjeet Kaur, "The Categorization of Documents Using Support Vector Machines," International Journal of Scientific Research in Computer Science and Engineering, Vol.11, Issue.6, pp.1-12, 2023

• Open Access   Article

  Design and Implementation of an Assamese Language Chatbot Using Neural Networks

  Surajit Sarma, Nabankur Pathak

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.11 , Issue.6 , pp.13-18, Dec-2023

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  Abstract
  This research paper proposes a design for an AI chatbot that can understand Assamese language using a feedforward neural network. We have developed an Assamese language dataset and trained the model on it. We have used the bag of words method for feature extraction of the text. We have evaluated the accuracy and performance of the model using metrics like precision, recall and F1 score. The model has achieved an accuracy of 89.11%, which is higher than SVM and Naive Bayes models. We have also presented the future plan of this research. The novelty of this research is that we have developed a deep learning FFNN model for an AI Assamese chatbot along with an Assamese dataset, which has not been done before. The significance of this research is that it will help to explore the AI Assamese chatbot domain and inspire new ideas for researchers, as well as help the Assamese society to use their language in digital platforms.

  Key-Words / Index Term
  Artificial Intelligent; Assamese Corpus; Chatbot; Deep Learning; Natural Language Processing; Feed Forward Neural Network

  References
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  Citation
  Surajit Sarma, Nabankur Pathak, "Design and Implementation of an Assamese Language Chatbot Using Neural Networks," International Journal of Scientific Research in Computer Science and Engineering, Vol.11, Issue.6, pp.13-18, 2023

• Open Access   Article

  Design and Development of Real-time Code Editor for Collaborative Programming

  Mohammad Bilal Khan, Chandra Shekhar Kushwaha, Ruchita Rani, Avni Verma, Pritika Bahad

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.11 , Issue.6 , pp.19-26, Dec-2023

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  The Internet is expanding quickly, and many desktop apps are already being developed for the online. Using the Internet, many apps may be easily accessible at any time and from any location. Code editors are one of the tools that developers require to design their applications. The goal of this research is to employ web socket technology to build and develop a real-time code editor application that facilitates user collaboration while working on the project. Users of this program can work together in real time on a project thanks to its capability. The authors employed an analysis process that includes studying the literature, and studying the code editor software that are currently in use. CrossCode is a web application that offers a workspace for creating, performing, and collaborating with other users in real-time over the terminal. The primary functionalities of the application include a workspace for creating, running, and building source code as well as real-time chat and terminal building. The programming languages C, C++, Python, and Java are supported by this application. The current research contributes to the advancement of online code collaboration tools, providing developers with an efficient and accessible platform for remote teamwork and code sharing.

  Key-Words / Index Term
  Real-time Code Editor, Web Socket Technology, Collaborative Coding, Multi-language Support, Cloud-based Code Development

  References
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  [3] Max Goldman, "Role-based Interfaces for Collaborative Software Development." In Proceedings of the 24th Annual ACM Symposium Adjunct on User interface Software and Technology, pp. 23-26, 2011.
  [4] Frank Frößler, "A Practice Theoretical Analysis of Real Time Collaboration Technology:: Skype and Sametime in Software Development Projects," Cuvillier Verlag, Vol. 2, 2008.
  [5] Stefan Klein , Nadine Vehring, Malte Kramer, "Introducing Real Time Communication: Frames, Modes & Rules,", 2010.
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  Citation
  Mohammad Bilal Khan, Chandra Shekhar Kushwaha, Ruchita Rani, Avni Verma, Pritika Bahad, "Design and Development of Real-time Code Editor for Collaborative Programming," International Journal of Scientific Research in Computer Science and Engineering, Vol.11, Issue.6, pp.19-26, 2023

• Open Access   Article

  Breast Cancer Detection from Thermal Images Using Deep Learning Techniques

  Gais Alhadi Babikir

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.11 , Issue.6 , pp.27-34, Dec-2023

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  Abstract
  Breast cancer is a common disease that many men and women face throughout their lives. Therefore, early diagnosis is the most effective and reliable tool to effectively treat cancer. Hence, there is a need to help doctors diagnose this disease in less time so that we can reduce deaths. Recently, several methods have been used to classify cancer and determine the stage of this serious disease, including self-examination, clinical examination, and imaging techniques. Furthermore, several studies have used deep learning techniques to evaluate rapid datasets for cancer detection from thermal images of breast tumors. Hence, in this work, three pre-trained CNN models, namely InceptionV3, MobileNet, and Xception, were applied to classify breast images into cancerous tumors (Malignant) or non-cancerous tumors (Benign) from the thermal images according to DMR-IR criteria. The experiment results demonstrated that the suggested models attained excellent outcomes and can be efficiently utilized to classify breast cancer. More precisely, our suggested Xception model achieved the best results with 100% for the Accuracy, Precision, Recall, F1-Score, and the ROC curve.

  Key-Words / Index Term
  Disease Detection, Breast Cancer, CNN, Deep Learning, Thermal Images, InceptionV3, MobileNet, Xception

  References
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  Citation
  Gais Alhadi Babikir, "Breast Cancer Detection from Thermal Images Using Deep Learning Techniques," International Journal of Scientific Research in Computer Science and Engineering, Vol.11, Issue.6, pp.27-34, 2023

• Open Access   Article

  Analysis of Wireless Link Performance under Quasi-Orthogonal Space-Time Block Codes

  Md. Asif Hossain, Puja Das, Nahid Akhter Jahan

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.11 , Issue.6 , pp.35-42, Dec-2023

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  Abstract
  In wireless communication, the primary focus lies on the interference among symbols rather than noise. The utilization of orthogonal space-time block codes (OSTBC) has shown to be a highly effective method for implementing the notion of interference immunity. When the number of antennas exceeds two, it becomes unfeasible to provide complete transmission, as observed in the Alamouti system. In this particular scenario, quasi-orthogonal space-time block coding (STBC) presents itself as an alternative approach, albeit with the drawback of introducing some level of interference. The zero forcing (ZF) decoding approach is occasionally employed to transform quasi-orthogonal space-time block codes (STBCs) into fully orthogonal codes, but at the cost of increased noise. This study aims to analyze the influence of channel gain on the amplification of noise. Encouraging results have been obtained in this regard.

  Key-Words / Index Term
  Orthogonal space time block code (OSTBC), wireless communication, , Zero forcing decoding technique. Alamouti scheme, multiple input multiple output (MIMO) systems.

  References
  [1] Jin, Guiyue, Chaoyue Zhao, Zhuyun Fan, and Jiyu Jin. "Antenna selection in TDD massive MIMO systems," Mobile Networks and Applications, vol. 26, pp.1831-1837, 2021.
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  Citation
  Md. Asif Hossain, Puja Das, Nahid Akhter Jahan, "Analysis of Wireless Link Performance under Quasi-Orthogonal Space-Time Block Codes," International Journal of Scientific Research in Computer Science and Engineering, Vol.11, Issue.6, pp.35-42, 2023

• Open Access   Article

  IOT- Smart irrigation with tracking system using NodeMCU ESP8266

  Negm Eldin Mohamed Shawky

  Review Paper | Journal-Paper (IJSRCSE)

  Vol.11 , Issue.6 , pp.43-52, Dec-2023

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  Abstract
  This paper reviews the Smart Irrigation with tracking System which is an automated system that uses sensors, sensed data, and algorithms to optimize water usage for irrigation. This system can be controlled remotely through a smartphone or other mobile device, making it easy for farmers and homeowners to monitor and adjust their irrigation systems from anywhere. the involved sensors connected to a microcontroller in the system can be used to measure soil moisture, air temperature, humidity, and also to monitor using camera undesired animals or persons in a specified area for taking a decision against them. The sensed data that can be obtained from the sensors is received by mobile applications using the WebSocket communication protocol, which is analyzed by an algorithm to determine the optimal amount of water required for the plants. It is also used to track daily farm duties, grow crops, and protect them from harmful insects, rodents, mice, and theft. This system can be programmed to turn on and off at specific times or based on certain conditions, such as soil moisture levels or weather patterns. The benefits of this system include reducing water waste, improving crop yield, send alerts or notifications to users in case of any issues or critical situations and minimizing the cost of labor associated with manual irrigation.

  Key-Words / Index Term
  Irrigation Systems, Internet of Things (IoT), Node MCU ESP8266, MobileApp, Soil Moisture Detector, WebSocket protocol

  References
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  Citation
  Negm Eldin Mohamed Shawky, "IOT- Smart irrigation with tracking system using NodeMCU ESP8266," International Journal of Scientific Research in Computer Science and Engineering, Vol.11, Issue.6, pp.43-52, 2023

• Open Access   Article

  Fortifying the Cloud: A Case Study on Best Practices for Securing Cloud Infrastructure

  Varsha P. Desai, Priyanka P. Shinde, Kavita S. Oza, Rajanish K. Kamat

  Survey Paper | Journal-Paper (IJSRCSE)

  Vol.11 , Issue.6 , pp.53-60, Dec-2023

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  Abstract
  Cloud infrastructure is the current trend and need of the organization for agile business continuity and digital transformation. Scalability, remote work enablement, availability, cost efficiency, instant data backup and recovery are the foremost benefits of cloud deployment for organizations. The significant challenges in cloud adoption are the selection of cloud providers to identify security measures, performance metrics, compliance, and Service level agreement. CIS (Center for internet Security) controls enhance cloud security by providing security benchmarks, guidelines and best practices for cloud security management. Proper configuration and implementation of CIS control helps to mitigate cloud threats and security risks. This paper elaborates recommendations of CIS controls to secure cloud infrastructure from cyber threats for improving cloud security scores for organizations.

  Key-Words / Index Term
  Cloud Security, IaaS, PaaS, Cloud Risks, Cloud Threats, Cloud Infrastructure, Cloud Computing, CIS Controls

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  Citation
  Varsha P. Desai, Priyanka P. Shinde, Kavita S. Oza, Rajanish K. Kamat, "Fortifying the Cloud: A Case Study on Best Practices for Securing Cloud Infrastructure," International Journal of Scientific Research in Computer Science and Engineering, Vol.11, Issue.6, pp.53-60, 2023

• Open Access   Article

  Pattern Recognition in Remote Sensing Image Analysis: Theory, Methods, and a Case Study of Rijiyar Donor in Katsina, Nigeria

  Thomas U. Omali, Kebiru Umoru

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.11 , Issue.6 , pp.61-65, Dec-2023

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  Abstract
  Remotely sensed data is of great importance in the dynamic assessment of both natural and artificial earth’s resources. The conventional method used for the classification of remote sensing imagery is mainly based on the pixel spectral data of geographical features. This technique depends on pixel spectral data alone, as such, it frequently fail in attaining the desired aim due to the multifarious nature of the environment it is being used to analyse. One important approach that is used to enhance remote sensing data classification and analysis is Pattern recognition. Therefore, the aim of this paper is mainly to discuss the concept of pattern recognition in remotely sensed image analysis with emphasis on its theory, and methods of application. Also, pattern recognition was applied in this study for the classifying LULC of Rijiyar Donor within Katsina State of Nigeria.

  Key-Words / Index Term
  Classification, feature extraction, fuzzy, image processing, land cover, preprocessing, postprocessing

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  Citation
  Thomas U. Omali, Kebiru Umoru, "Pattern Recognition in Remote Sensing Image Analysis: Theory, Methods, and a Case Study of Rijiyar Donor in Katsina, Nigeria," International Journal of Scientific Research in Computer Science and Engineering, Vol.11, Issue.6, pp.61-65, 2023