Volume-10 , Issue-4 , Aug 2022, ISSN 2320-7639 (Online) Go Back

• Open Access   Article

  Design and Development of an Interactive Chatbot Application for General Health Evaluation and Diagnosis

  Swetha Gidugu, Ashjan Khan, Mohammadreza Hajiarbabi

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.4 , pp.1-7, Aug-2022

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  Abstract
  Technology goes about as a scaffold between people and medicine. It helps make people`s lives much more straightforward. Coronavirus made a lot of ruin in the existence of many leaving them in a fatigued state all over the world. Indeed, even a little disarray in the well-being of an individual set off various considerations about his well-being as a top priority. As per research, several million calls were made by people to the helplines in many nations during the first wave of COVID-19 concerning mental distress and physical health. In an uncertain situation, insight incorporated into a chatbot with medical knowledge would help individuals to self-evaluate. Based on this, users can choose to check with a specialist for additional conclusions. A devoted intuitive and interactive Chatbot with a knowledge base of eminent illnesses on the planet makes it simpler. Our approach for MedBot is to make an interactive self-check chatbot to give the medical diagnosis in health categories such as Mental, Respiratory, Cardio, Neuro, and Ortho considering the underlying conditions of the disease. It covers most undiscovered yet normal diseases in the referenced health categories. It targets assisting individuals with the technology to check their psychological and general wellbeing. MedBot allows the patient to interact with the chatbot to enter the symptoms he is experiencing. It then furnishes the disease finding alongside the certainty of the disease. The value of the Certainty factor gives more exactness to the conclusion of the diagnosis.

  Key-Words / Index Term
  COVID-19, mental health, respiratory ailments, expert system, certainty factor, diagnostic system, MedBot, Chatbot, AI, NLTK, API

  References
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  [6] H. Mendapara, S. Digole, M. Thakur, A. Dange, “AI-Based Healthcare Chatbot System by Using Natural Language Processing”, Vol.4, Issue.2, Mar-Apr 2021.
  [7] John Durkin, “Expert systems: Design and development”, Published by Macmillan, 1994.
  [8] M.M. Mastoli, U.R. Pol, Rahul D. Patil, "Reasoning with Certainty Factor for Prediction of Diabetes Disease on Machine Learning Platform," International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.1, pp.93-97, 2020
  [9] Tjiptomongsoguno, A.R.W., Chen, A., Sanyoto, H.M., Irwansyah, E., Kanigoro, B, “Medical Chatbot Techniques: A Review”, Vol.1294, pp 346-356, 2020.
  [10] 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
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  Citation
  Swetha Gidugu, Ashjan Khan, Mohammadreza Hajiarbabi, "Design and Development of an Interactive Chatbot Application for General Health Evaluation and Diagnosis," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.4, pp.1-7, 2022

• Open Access   Article

  The Effect of Maritime Logistics Service Capacity on Clearing and Forwarding Firms at Lagos Seaport

  I. Njoku, P.U. Ofohaorji

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.4 , pp.8-13, Aug-2022

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  Abstract
  The research examines the effect of maritime logistics service (MLS) capacity on clearing and forwarding firms in the Lagos seaport. Both primary and secondary data were used for the work. A total of 310 questionnaires were administered via a simple random sampling technique to the MLS providers and freight forwarders. Whereas secondary data on cargo throughput and ship traffic were gathered from the Nigerian Port Authority (NPA). The tools for data analysis comprise trend analysis, Spear-man correlation and multiple regression statistics. The findings discovered that the linear trend line of the cargo and ship traffic at the seaport has consistently increased with 0.749 R-squared (R2) and 0.839 adjusted (R2) over a 27-year period. The result similarly proved that a significant relationship exits between MLS capacity and firms’ service quality (r = - 0.707, n = 300, p < 0.001). The coefficient of 0.654 implies a change of 10% in service quality which means a change of 6.54% in maritime logistics capacity, hence a statistically significant effect (T-statistic = 17.235, p = 0.000).

  Key-Words / Index Term
  Maritime, Capabilities, Clearing, Throughput, Forwarding, Logistics, Seaport

  References
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  Citation
  I. Njoku, P.U. Ofohaorji, "The Effect of Maritime Logistics Service Capacity on Clearing and Forwarding Firms at Lagos Seaport," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.4, pp.8-13, 2022

• Open Access   Article

  Exploring the Impact of Mathematical Software and Its Result Shown on Higher Education

  Namrata Tripathi, Ashwani Kumar Garg

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.4 , pp.14-17, Aug-2022

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  The objective of this research paper focus on Researcher/Academician academic development in Higher Education. Teaching and learning processes will be improved. Find the main difficulties existing in teaching methods and learning way. We can say that Mathematical software shows as an excellent way to help the teaching and learning methods. This is especially useful for interdisciplinary courses like some problems interventions were applied to find the main difficulties in the teaching and learning methods.

  Key-Words / Index Term
  GeoGebra, MATLAB, Mathematical Software, Phet Simulation and Computer System

  References
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  Citation
  Namrata Tripathi, Ashwani Kumar Garg, "Exploring the Impact of Mathematical Software and Its Result Shown on Higher Education," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.4, pp.14-17, 2022

• Open Access   Article

  Correlation of Geographic Information System with the Evolutionary Theory of Spatial Analysis

  Thomas U. Omali

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.10 , Issue.4 , pp.18-22, Aug-2022

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  Abstract
  Geographic Information system (GIS) is a powerful computer-based tool used in building spatially explicit models for comprehending real-world processes. Consequently, it has attracted extensive research efforts over the past half-century across the globe. Also, spatial analysis is a significant area of application within geographic information science or a computer-enhanced geographic data environment. The reason is that virtually all the occurrences we encounter daily assume a spatial context. GIS is suitable and effective for providing the requisite solutions to various problems related to these manifestations including representing, analyzing, and knowing their spatial dimensions. Thus, this review focuses on the relationship between GIS and the evolution of spatial analysis. It offers an in-depth discussion of the evolutionary theory of spatial analysis with a specific emphasis on quantitative geography, regional science, spatial statistics, and computational geometry. Summarily, GIS is highly effective in handling spatial analysis because of its ability to manage both planar and attribute data in an integrated manner.

  Key-Words / Index Term
  Geometry; GIS; Modeling; Spatial Pattern; Statistics

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  Citation
  Thomas U. Omali , "Correlation of Geographic Information System with the Evolutionary Theory of Spatial Analysis," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.4, pp.18-22, 2022