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Authors:Chandan Sheikder Abstract: The main objective of this report is to discover whether haptic data have an effect on the retention of a directive to choose a place scattered on a 2D plane. The necessity for a feasible workshop for the cell manufacturing line in plant assembly led to the idea. We created an organized viscuo-haptic training model that covered a grown-up arm’s workstation and used three different Ways to change the extent of preparation of perception data that delivered to the trainees. Graphical presentation with endorsement and graphical presentation with haptic guiding were the techniques used. We made a rough assessment of the three techniques’ preparation abilities. In terms of the number of repeated trails, it’s important to keep the request for two-dimensional sequenced options with subjective evaluation. The approach for graphical showcase with order provides the best demonstration, however the technique for visual display delivers quality demonstration. PubDate: 2023-05-10 DOI: 10.37591/joci.v14i1.6957 Issue No:Vol. 14, No. 1 (2023)
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Authors:Usha B. Patel, Vandana V. Patel Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered signal was then divided into its frequency ranges using the Discrete Wavelet Transform (DWT) method, enabling the extraction of EEG signal characteristics. To enhance the diagnostic performance, various signal features were integrated into the DWT technique, including logarithmic band power (LBP), standard deviation, and root mean square (RMS). These features were incorporated to generate feature vectors that were utilized in the diagnosis process. In order to categorize the EEG features into their respective classes, various machine learning (ML) approaches were explored, including quadratic discriminant analysis (QDA), support vector machine (SVM), and k-nearest neighbour (KNN). The performance of these approaches was then evaluated by comparing and computing their sensitivity, specificity, and overall diagnosis accuracy. When comparing the accuracy values, it can be observed that QDA has a higher accuracy of 97.5% compared to KNN's accuracy of 95%. PubDate: 2023-05-10 DOI: 10.37591/joci.v14i1.6981 Issue No:Vol. 14, No. 1 (2023)
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Authors:Mithilesh Verma, Himanshu Pratap Singh, Kalyani Gupta, Jay Bahadur Singh, Anurag Dwivedi, Arun Kumar Yadav Pages: 9 - 15 Abstract: In this paper, we show how the Internet of Things (IoT) may be effectively used in conventional agriculture. The number and quality of agricultural goods are both increased by this new approach. This study utilized the Internet of Things (IoT) with the help of a few sensors, including a soil moisture sensor to determine the amount of moisture in the soil, a temperature and humidity sensor to monitor changes in the ambient temperature, and a rain drop sensor to determine whether it is raining or not. There is a Wi-Fi module attached to these sensors (Node MCU). The gathered information will be put online in the cloud. A cloud-based IOT service called Blynk was created. Data was real-time presented on mobile devices after being saved in the Blynk. The study's findings demonstrate how combining IOT with a variety of sensors improves the smart farming prototype. Additionally, this was successful in achieving its goals of consuming less water, using fewer resources, and being more affordable. PubDate: 2023-01-30 Issue No:Vol. 13, No. 3 (2023)
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Authors:Vidhya Prasanth, M. Ramachandran, Sathiyaraj Chinnasamy, Chandrasekar Raja Pages: 16 - 27 Abstract: The engine one of the most important components of a vehicle and the performance of the vehicle depends on it. Every It is the heart of the vehicle. It's a complex an engine that converts heat from burning gas into power Designed to change turn road wheels.The automobile gave people more personal freedom and provided access to jobs and services. This is Better roads and transportation led to growth. For automobile parts and fuel Factories and new to supply the demand Jobs were created. Petroleum and Gasoline, These include rubber and plastic. Electric (Elimination et Choice Trudeausant la Relead - Elimination and Choice Reveals Reality) methods, from recruitment in transportation and many other real-world decision-making problems are widely used. Of elec Theoretical research on fundamentals is also at this time Active. Alternative: Very influential, Very low influence, low influence, Medium influence, high influence, very High influence. Assessment Option: Technical Lack of funding for research B1, low profitability B2, Incomplete recycling system B3, research and Lack of ability to develop B4. From the result it is seen that Ability to research and develop B4 Absence and obtained first grade, whereas Lack of funds for technological research B1 contains lowest rank. The value of the dataset for Automotive Parts in ELECTRE method shows that it results in Lack of ability to research and develop B4 and top ranking. PubDate: 2023-02-02 Issue No:Vol. 13, No. 3 (2023)
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Authors:Poorvi Omer, Arun Kumar Yadav Pages: 28 - 36 Abstract: The vehicle business is always growing along with the advancement of the world economy. In recent years, one of the solutions to the energy crisis and other issues has been to use clean energy to power automobiles instead of conventional fossil fuels. Reducing environmental contamination through measures. Fuel cell hybrid electric vehicles (FCHEVs) have drawn a lot of attention from researchers due to their benefits in terms of high energy efficiency, environmental protection, and long driving range.. The structure of typical FCHEVs is initially introduced in this work, after which the most recent energy management strategies (emss) for FCHEVs are categorized and introduced. The discussion on EMSs for FCHEVs future trends concludes. Researchers may find this study helpful in their efforts to comprehend more fully the most recent developments in EMSs for FCHEVs. The most recent theoretical approaches and application outcomes are provided through an in-depth examination of important scientific challenges. In order to offer fresh perspectives and sources of inspiration for the ongoing study of hybrid energy storage systems, some future research challenges and outlooks are finally presented. PubDate: 2023-02-20 Issue No:Vol. 13, No. 3 (2023)
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Authors:Tarun Kumar Swain, Meera Murali Pages: 37 - 50 Abstract: In this study, the modelling of a typical hydroelectric power plant with a high-water head and a long penstock is developed and implemented in MATLAB/Simulink. The proposed simulation system's models are created in a sophisticated way to allow for easy reuse. To compute and simulate hydraulic transients, the nonlinear properties of the hydraulic turbine, such as the elasticity of the penstock and the water hammer effect, were taken into account. Additionally, in order to determine how well a hydraulic turbine system performs dynamically, the effects of several parameters, including water time constants, water compressibility, and the impact of surge tanks, are also studied. PubDate: 2023-02-20 Issue No:Vol. 13, No. 3 (2023)
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