Pub Date : 2024-02-15DOI: 10.17485/ijst/v17i8.2892
Rekha Devi, Shilpa Sood
Objective: To investigate the three-dimensional flow of a nanofluid (Ag-water) over a stretchable vertical oscillatory sheet. This study involves considering fluctuating temperatures on the sheet and comparing them to the free stream temperature. The formulation of the unsteady boundary layer equations leading to the flow of nanofluid also takes into consideration the occurrence of the heterogeneous-homogeneous chemical reaction and thermal radiation. Method: The governing equations and the boundary conditions have been derived in a dimensionless form by using the appropriate transformations, and they are then solved using an EFDS (Explicit Finite Difference Scheme) in Matlab software. The Von-Neumann stability analysis is used to determine the method’s stability requirements for constant sizes of the grid. Findings: The physical factors impact on the concentration fields, temperature distribution, and velocity distribution were obtained and are studied by graphs and described in extensive detail. Convergence and stability requirements are attained in order to achieve accurate solutions. Novelty: In this study fluctuations in the temperature and stretching velocity of sheet on three-dimensional magnetohydrodynamic flow of Ag − H2O nanofluid over an oscillating surface through rotating porous are taken into account. Impacts of porous media permeability, velocity slip, magnetic fields, nanoparticle volume fraction, heat radiation, rotation, and homogeneous and heterogeneous chemical reaction parameters had all been attempted to be determined. Keywords: Oscillatory Surface, Heat transmission, Nonlinear PDE, Explicit Finite Difference Scheme, Nanoparticle
{"title":"Numerical Investigation of Three-Dimensional Magnetohydrodynamic Flow of Ag H2O Nanofluid Over an Oscillating Surface in a Rotating Porous Medium","authors":"Rekha Devi, Shilpa Sood","doi":"10.17485/ijst/v17i8.2892","DOIUrl":"https://doi.org/10.17485/ijst/v17i8.2892","url":null,"abstract":"Objective: To investigate the three-dimensional flow of a nanofluid (Ag-water) over a stretchable vertical oscillatory sheet. This study involves considering fluctuating temperatures on the sheet and comparing them to the free stream temperature. The formulation of the unsteady boundary layer equations leading to the flow of nanofluid also takes into consideration the occurrence of the heterogeneous-homogeneous chemical reaction and thermal radiation. Method: The governing equations and the boundary conditions have been derived in a dimensionless form by using the appropriate transformations, and they are then solved using an EFDS (Explicit Finite Difference Scheme) in Matlab software. The Von-Neumann stability analysis is used to determine the method’s stability requirements for constant sizes of the grid. Findings: The physical factors impact on the concentration fields, temperature distribution, and velocity distribution were obtained and are studied by graphs and described in extensive detail. Convergence and stability requirements are attained in order to achieve accurate solutions. Novelty: In this study fluctuations in the temperature and stretching velocity of sheet on three-dimensional magnetohydrodynamic flow of Ag − H2O nanofluid over an oscillating surface through rotating porous are taken into account. Impacts of porous media permeability, velocity slip, magnetic fields, nanoparticle volume fraction, heat radiation, rotation, and homogeneous and heterogeneous chemical reaction parameters had all been attempted to be determined. Keywords: Oscillatory Surface, Heat transmission, Nonlinear PDE, Explicit Finite Difference Scheme, Nanoparticle","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140455255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-15DOI: 10.17485/ijst/v17i8.1458
A. Siddiqua, Amena Saher, Sumera Sumera
Objectives: The aim of this study is to develop an efficient and cost-effective solution for predicting vehicle speeds using recorded video data. Methods: The proposed system employs a combination of image processing techniques and computer vision to calibrate cameras for traffic simulation, enabling the extraction of information on average vehicle speeds. It utilizes the Haar Cascade Classifier for object detection, followed by a correlation tracker for vehicle tracking. Speed estimation is achieved through the frame differencing method. The dataset comprises 90 minutes of recorded data from highway cameras, showcasing diverse traffic scenarios with various vehicle types (trucks, trailers, cars, buses, and bikes) at varying speeds. Predicted values are compared with ground truth data obtained from a GPS-equipped car, using Mean Absolute Error (MAE) as the evaluation metric. Findings: The algorithm's performance is evaluated, resulting in an average error rate of 1.72 km/h (2.07%). These findings are compared with state-of-the-art data. Novelty: This study introduces a novel system that combines the Haar Cascade Classifier, correlation tracker, and frame differencing method to track vehicle positions, incorporating bike detection into the analysis, and calculate their moving speeds. A relative analysis underscores the system's performance, emphasizing its effectiveness in real-world applications and demonstrating refinement in accuracy assessment. Keywords: Image processing, Vehicle speed estimation, Haar Cascade Classifier, Correlation tracker, Error rate calculation, Computer vision
{"title":"Vehicle Speed Detection using Haar Cascade Classifier and Correlation Tracking","authors":"A. Siddiqua, Amena Saher, Sumera Sumera","doi":"10.17485/ijst/v17i8.1458","DOIUrl":"https://doi.org/10.17485/ijst/v17i8.1458","url":null,"abstract":"Objectives: The aim of this study is to develop an efficient and cost-effective solution for predicting vehicle speeds using recorded video data. Methods: The proposed system employs a combination of image processing techniques and computer vision to calibrate cameras for traffic simulation, enabling the extraction of information on average vehicle speeds. It utilizes the Haar Cascade Classifier for object detection, followed by a correlation tracker for vehicle tracking. Speed estimation is achieved through the frame differencing method. The dataset comprises 90 minutes of recorded data from highway cameras, showcasing diverse traffic scenarios with various vehicle types (trucks, trailers, cars, buses, and bikes) at varying speeds. Predicted values are compared with ground truth data obtained from a GPS-equipped car, using Mean Absolute Error (MAE) as the evaluation metric. Findings: The algorithm's performance is evaluated, resulting in an average error rate of 1.72 km/h (2.07%). These findings are compared with state-of-the-art data. Novelty: This study introduces a novel system that combines the Haar Cascade Classifier, correlation tracker, and frame differencing method to track vehicle positions, incorporating bike detection into the analysis, and calculate their moving speeds. A relative analysis underscores the system's performance, emphasizing its effectiveness in real-world applications and demonstrating refinement in accuracy assessment. Keywords: Image processing, Vehicle speed estimation, Haar Cascade Classifier, Correlation tracker, Error rate calculation, Computer vision","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140455568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-15DOI: 10.17485/ijst/v17i7.2766
Ashwani Gupta, Utpal Sharma
Objectives: Aspect terms play a vital role in finalizing the sentiment of a given review. This experimental study aims to improve the aspect term extraction mechanism for Hindi language reviews. Methods: We trained and evaluated a deep learning-based supervised model for aspect term extraction. All experiments are performed on a well-accepted Hindi dataset. A BiLSTM-based attention technique is employed to improve the extraction results. Findings: Our results show better F-score results than many existing supervised methods for aspect term extraction. Accuracy results are outstanding compared to other reported results. Results showed an outstanding 91.27% accuracy and an F–score of 43.16. Novelty: This proposed architecture and the achieved results are a foundational resource for future studies and endeavours in the field. Keywords: Sentiment analysis, Aspect based sentiment analysis, Aspect term extraction, Deep Learning, Bi LSTM, Indian language, Hindi
{"title":"Deep Learning-Based Aspect Term Extraction for Sentiment Analysis in Hindi","authors":"Ashwani Gupta, Utpal Sharma","doi":"10.17485/ijst/v17i7.2766","DOIUrl":"https://doi.org/10.17485/ijst/v17i7.2766","url":null,"abstract":"Objectives: Aspect terms play a vital role in finalizing the sentiment of a given review. This experimental study aims to improve the aspect term extraction mechanism for Hindi language reviews. Methods: We trained and evaluated a deep learning-based supervised model for aspect term extraction. All experiments are performed on a well-accepted Hindi dataset. A BiLSTM-based attention technique is employed to improve the extraction results. Findings: Our results show better F-score results than many existing supervised methods for aspect term extraction. Accuracy results are outstanding compared to other reported results. Results showed an outstanding 91.27% accuracy and an F–score of 43.16. Novelty: This proposed architecture and the achieved results are a foundational resource for future studies and endeavours in the field. Keywords: Sentiment analysis, Aspect based sentiment analysis, Aspect term extraction, Deep Learning, Bi LSTM, Indian language, Hindi","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139774392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-15DOI: 10.17485/ijst/v17i7.2748
A. Mehta, Kajal S Patel
Objectives: Dengue fever, a mosquito-borne viral disease, is particularly prevalent in tropical regions like India. Gujarat State is also one of them. Forecasting outbreaks of diseases such as dengue can prove important for public health management. The purpose of this study is to predict dengue cases in ten districts of Gujarat using the LSTM machine learning model. And if people are aware of this from the beginning, the spread of dengue can be prevented. Methods: This approach uses LSTM models to predict dengue cases using a total of 10 years (2010 to 2019) of data. From this data, data from 2010 to 2016 is used for training and data from 2017 to 2019 is used for testing. To predict dengue cases, population density, average temperature, average humidity, monthly rainfall, dengue cases with lag of one, two and twelve months. Findings: The LSTM model was applied with different parameter configurations, showing the following results: The root mean square error value is 0.04, and the R-squared (R2) score is 0.84. Many machine learning methods, like ANN, linear regression, random forest, etc., have been used to predict dengue cases in different states and countries. LSTM model gives the best results in terms of accuracy. Previously reported dengue cases, population density, and total monthly rainfall proved to be the most effective predictors of dengue in the state of Gujarat. Novelty: Models have been developed to predict dengue outbreaks in many other countries and states. The LSTM model is developed for the first time in this study for the state of Gujarat. 84% accuracy is obtained from the model. This model has been prepared by collecting environmental data and registered dengue cases in Gujarat state. Keywords: Dengue Cases Predictions, Artificial Intelligence in Healthcare, LSTM Algorithm, Disease Outbreaks, Public Health Management
{"title":"LSTM-based Forecasting of Dengue Cases in Gujarat: A Machine Learning Approach","authors":"A. Mehta, Kajal S Patel","doi":"10.17485/ijst/v17i7.2748","DOIUrl":"https://doi.org/10.17485/ijst/v17i7.2748","url":null,"abstract":"Objectives: Dengue fever, a mosquito-borne viral disease, is particularly prevalent in tropical regions like India. Gujarat State is also one of them. Forecasting outbreaks of diseases such as dengue can prove important for public health management. The purpose of this study is to predict dengue cases in ten districts of Gujarat using the LSTM machine learning model. And if people are aware of this from the beginning, the spread of dengue can be prevented. Methods: This approach uses LSTM models to predict dengue cases using a total of 10 years (2010 to 2019) of data. From this data, data from 2010 to 2016 is used for training and data from 2017 to 2019 is used for testing. To predict dengue cases, population density, average temperature, average humidity, monthly rainfall, dengue cases with lag of one, two and twelve months. Findings: The LSTM model was applied with different parameter configurations, showing the following results: The root mean square error value is 0.04, and the R-squared (R2) score is 0.84. Many machine learning methods, like ANN, linear regression, random forest, etc., have been used to predict dengue cases in different states and countries. LSTM model gives the best results in terms of accuracy. Previously reported dengue cases, population density, and total monthly rainfall proved to be the most effective predictors of dengue in the state of Gujarat. Novelty: Models have been developed to predict dengue outbreaks in many other countries and states. The LSTM model is developed for the first time in this study for the state of Gujarat. 84% accuracy is obtained from the model. This model has been prepared by collecting environmental data and registered dengue cases in Gujarat state. Keywords: Dengue Cases Predictions, Artificial Intelligence in Healthcare, LSTM Algorithm, Disease Outbreaks, Public Health Management","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139774518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-12DOI: 10.17485/ijst/v17i6.2822
Sara Abdul Hussien, Abdul-Kareem Mahdi Salih
Objective: The absorption activity of saturable absorber material (Cr+4: YAG) for dual wavelengths (1.064 μm and 0.946 μm), simultaneously generated in same passive Q-switching system, has been investigated. Methods: This study utilized the mathematical model that was used in our previous study. Rung-Kutta—Fehelberge numerical method has been used to solve this mathematical model. Nd+3: YAG used as an effective medium and Cr+4: YAG used as a saturable absorber in the laser passive Q-switching optical system. Finding: When the population density of saturable absorber increases, the steady state of photons losses occurs at advancement time and the absorption activity reaches to optical bleaching state at advancement time also (it is occurring approximately at time 35 ns from the beginning of the time of pulse construction when the , while at , approximately at time 47 ns). Novelty: The absorption activity of saturable absorber material for a single wavelength of photons oscillating inside the passive Q-switch laser system received attention by some studies. This study verifies or investigates from the behavior of absorption activity of saturable absorber material when encounters photons with two wavelengths oscillating simultaneously inside the laser cavity in order to obtain high power of the pulses. Keywords: Laser, Passive Qswitching, laser, Dual wavelengths laser, Solid state lasers
{"title":"Absorption Activity Investigation of Saturable Absorber for Dual Wavelengths in Laser Passive Q-Switching System","authors":"Sara Abdul Hussien, Abdul-Kareem Mahdi Salih","doi":"10.17485/ijst/v17i6.2822","DOIUrl":"https://doi.org/10.17485/ijst/v17i6.2822","url":null,"abstract":"Objective: The absorption activity of saturable absorber material (Cr+4: YAG) for dual wavelengths (1.064 μm and 0.946 μm), simultaneously generated in same passive Q-switching system, has been investigated. Methods: This study utilized the mathematical model that was used in our previous study. Rung-Kutta—Fehelberge numerical method has been used to solve this mathematical model. Nd+3: YAG used as an effective medium and Cr+4: YAG used as a saturable absorber in the laser passive Q-switching optical system. Finding: When the population density of saturable absorber increases, the steady state of photons losses occurs at advancement time and the absorption activity reaches to optical bleaching state at advancement time also (it is occurring approximately at time 35 ns from the beginning of the time of pulse construction when the , while at , approximately at time 47 ns). Novelty: The absorption activity of saturable absorber material for a single wavelength of photons oscillating inside the passive Q-switch laser system received attention by some studies. This study verifies or investigates from the behavior of absorption activity of saturable absorber material when encounters photons with two wavelengths oscillating simultaneously inside the laser cavity in order to obtain high power of the pulses. Keywords: Laser, Passive Qswitching, laser, Dual wavelengths laser, Solid state lasers","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139783441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-12DOI: 10.17485/ijst/v17i6.1806
Md Yakoob Pasha, M. Devi, T. Maheswari
Objectives: The purpose of the present work is to design a shaft subjected to twisting moment, bending moment and combined twisting and bending moment by determine the reliability of the shaft. Methods: Probabilistic approach is considered to find the lifetime of shaft by taking stress as random variable. Exponential and Weibull distributions are used to find lifetime of the equipment stress is considered as exponential and Weibull random variable. When the shaft is subjected to combined twisting and bending moment, the stress is found by using the two theories: (i) The maximum shear stress theory is used for ductile materials such as mild steel. (ii) The maximum normal stress theory is used for brittle materials such as cast iron. Findings: Reliability of the shaft is derived subjected to twisting and bending moments. The reliability is computed and compared for changing of the twisting moment, bending moment and diameter of the shaft. Novelty: To design a shaft by using reliability theory and to find reliability of the shaft by using the exponential and Weibull distribution is the novel idea. Keywords: Reliability, Weibull distribution, Shaft, Twisting moment, Bending moment, Combined twisting and bending moment, Exponential distribution, Maximum normal stress theory, Maximum shear stress theory
{"title":"Reliability Analysis of the Shaft Subjected to Twisting Moment and Bending Moment for The Exponential and Weibull Distributed Strength and Stress","authors":"Md Yakoob Pasha, M. Devi, T. Maheswari","doi":"10.17485/ijst/v17i6.1806","DOIUrl":"https://doi.org/10.17485/ijst/v17i6.1806","url":null,"abstract":"Objectives: The purpose of the present work is to design a shaft subjected to twisting moment, bending moment and combined twisting and bending moment by determine the reliability of the shaft. Methods: Probabilistic approach is considered to find the lifetime of shaft by taking stress as random variable. Exponential and Weibull distributions are used to find lifetime of the equipment stress is considered as exponential and Weibull random variable. When the shaft is subjected to combined twisting and bending moment, the stress is found by using the two theories: (i) The maximum shear stress theory is used for ductile materials such as mild steel. (ii) The maximum normal stress theory is used for brittle materials such as cast iron. Findings: Reliability of the shaft is derived subjected to twisting and bending moments. The reliability is computed and compared for changing of the twisting moment, bending moment and diameter of the shaft. Novelty: To design a shaft by using reliability theory and to find reliability of the shaft by using the exponential and Weibull distribution is the novel idea. Keywords: Reliability, Weibull distribution, Shaft, Twisting moment, Bending moment, Combined twisting and bending moment, Exponential distribution, Maximum normal stress theory, Maximum shear stress theory","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139784590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-12DOI: 10.17485/ijst/v17i6.2814
Ashwini Katkar, V. Dongre
Objectives: This study investigates the correlation of critical factors influencing throughput and efficiency in diffusion-based molecular communication systems. Method: The study presents a simulation model for 3-D diffusion-based molecular communication, incorporating essential parameters such as molecule size, transmission rate, diffusion rate, and transmitter-receiver distance. Findings: Through comprehensive simulations, the study reveals the effects of different parameters on throughput and efficiency in diffusion-based molecular communication. It highlights the critical trade-offs associated with system design and optimization. The study reveals the key factors influencing the transmission capabilities, the receiver congestion, and the overall efficiency of the communication system. Novelty: In this study, we give a study overview of the latest work of performance metrics in the field of molecular communication. A novel algorithm is proposed to find the throughput and efficiency of molecular communication. The proposed framework analyzes the intricate relationship between system parameters and performance metrics, emphasizing the potential for system optimization. Our simulation work demonstrates how the model parameters influence the performance of the molecular communication system, providing insights for enhancing the system's performance in applications such as targeted drug delivery in the future. Keywords: Molecular Communication, Diffusion, Transmission Rate, Throughput, Efficiency
{"title":"Assessing Molecular Throughput and Efficiency through Simulation in Diffusion-Based Molecular Communication","authors":"Ashwini Katkar, V. Dongre","doi":"10.17485/ijst/v17i6.2814","DOIUrl":"https://doi.org/10.17485/ijst/v17i6.2814","url":null,"abstract":"Objectives: This study investigates the correlation of critical factors influencing throughput and efficiency in diffusion-based molecular communication systems. Method: The study presents a simulation model for 3-D diffusion-based molecular communication, incorporating essential parameters such as molecule size, transmission rate, diffusion rate, and transmitter-receiver distance. Findings: Through comprehensive simulations, the study reveals the effects of different parameters on throughput and efficiency in diffusion-based molecular communication. It highlights the critical trade-offs associated with system design and optimization. The study reveals the key factors influencing the transmission capabilities, the receiver congestion, and the overall efficiency of the communication system. Novelty: In this study, we give a study overview of the latest work of performance metrics in the field of molecular communication. A novel algorithm is proposed to find the throughput and efficiency of molecular communication. The proposed framework analyzes the intricate relationship between system parameters and performance metrics, emphasizing the potential for system optimization. Our simulation work demonstrates how the model parameters influence the performance of the molecular communication system, providing insights for enhancing the system's performance in applications such as targeted drug delivery in the future. Keywords: Molecular Communication, Diffusion, Transmission Rate, Throughput, Efficiency","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139782817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-12DOI: 10.17485/ijst/v17i6.1691
S. P. Subhapriya, M. Thiagarajan
Objectives: In this study, we assume that the vacation is taken while there are no consumers in the queue. There are several servicemen who will take the synchronous multiple vacations in the system. Methods: Assumed some loss and delay in consumers (Elective and emergency) and solve the steady-state probability equations using recursive approach and acquired some obvious iterative expressions. Findings: Carried out some numerical analysis using MATLAB and investigated the movement of , , and through graph. Further, , , and increase when increases; decrease when M increases. Additionally, when L increases remains constant and increase. Novelty: Expanded the preceding models in this study by including vacations and performing the numerical analysis. Using vacation with controllable arrival rates in an optimal way in order to benefit both the server and the customer will minimise waiting time and provide the most feasible, affordable service to the consumer. Keywords: Markovian Queueing System, Vacation, Loss and Delay, Finite Capacity, Interdependent Arrival and Service Rates, Varying Arrival Rates, Bivariate Poisson Process
研究目的在本研究中，我们假设休假是在队列中没有消费者的情况下进行的。系统中会有多个服务人员同步多次休假。研究方法假设消费者（选择性和紧急性）存在一定的损失和延迟，使用递归方法求解稳态概率方程，并获得一些明显的迭代表达式。结果使用 MATLAB 进行了一些数值分析，并通过图形研究了 、 、 和 的变化。此外，当 M 增加时， 、 、 和 增加；当 M 增加时，M 减少。此外，当 L 增加时，保持不变，并增加。新颖性：本研究扩展了之前的模型，加入了假期并进行了数值分析。以最佳方式利用可控到达率的假期，使服务器和客户都受益，从而最大限度地减少等待时间，为消费者提供最可行、最实惠的服务。关键词马尔可夫排队系统、假期、损失和延迟、有限容量、相互依赖的到达率和服务率、变化的到达率、双变量泊松过程
{"title":"M/M/1/K Loss and Delay Interdependent Queueing Model with Vacation and Controllable Arrival Rates","authors":"S. P. Subhapriya, M. Thiagarajan","doi":"10.17485/ijst/v17i6.1691","DOIUrl":"https://doi.org/10.17485/ijst/v17i6.1691","url":null,"abstract":"Objectives: In this study, we assume that the vacation is taken while there are no consumers in the queue. There are several servicemen who will take the synchronous multiple vacations in the system. Methods: Assumed some loss and delay in consumers (Elective and emergency) and solve the steady-state probability equations using recursive approach and acquired some obvious iterative expressions. Findings: Carried out some numerical analysis using MATLAB and investigated the movement of , , and through graph. Further, , , and increase when increases; decrease when M increases. Additionally, when L increases remains constant and increase. Novelty: Expanded the preceding models in this study by including vacations and performing the numerical analysis. Using vacation with controllable arrival rates in an optimal way in order to benefit both the server and the customer will minimise waiting time and provide the most feasible, affordable service to the consumer. Keywords: Markovian Queueing System, Vacation, Loss and Delay, Finite Capacity, Interdependent Arrival and Service Rates, Varying Arrival Rates, Bivariate Poisson Process","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139783375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-12DOI: 10.17485/ijst/v17i6.2711
C. G. Betsurmath, Hadal Kumaraswamy Mamatha, Saravanabau Chidambaram, Vishwanath Prashant
Objectives: In India, the professional performance of the academic faculty is assessed annually using Academic Performance Indicator (API) as per the University Grants Commission (UGC), Government of India. This is a manual model is cumbersome in filling, and time-consuming. As a planned change and a measure to introduce technology-based platforms in JSS Academy of Higher Education & Research (JSSAHER), Mysuru, India, we have designed, developed, and validated digital platform technology to evaluate the annual performance of faculty working in medical, dental, pharmacy, life sciences fraternities. Methods: Academic Performance Indicator (API) guideline as per the University Grants Commission (UGC), Government of India, was used to design and develop the digital performance-based appraisal system (d-PBAS), and its performance was validated (20% random sampling) by comparing the manual and digital data entered by the faculty from different disciplines of JSSAHER. Findings: The present manuscript demonstrates the designing and validation methodology of d-PBAS. Software Development Life Cycle (SDLC) process and Waterfall model was adopted to develop d-PBAS. The digital platform was assessed for the performance and ranking of the faculty. More than 96% of the users expressed satisfaction and 4% expressed dissatisfaction in d-PBAS. Novelty: For the first of its kind in a university set up in India, JSSAHER designed and validated the digital performance-based appraisal system to evaluate academic performance. Since d-PBAS was developed using the SDLC process and Waterfall model it is easy and consumes less time to enter the data. The most important highlight is d-PBAS helps to rank the faculty performance automatically. The design and validation of d-PBAS described in the present manuscript are simple, robust, cost-effective, and have a go-green value. Keywords: Change Management, Higher Education Institutions, Performancebased, Appraisal System, academic Performance Indicator, digital technology
{"title":"Design, Development and Validation of a Digital Performance Based Appraisal System: A Planned Approach in Change Management","authors":"C. G. Betsurmath, Hadal Kumaraswamy Mamatha, Saravanabau Chidambaram, Vishwanath Prashant","doi":"10.17485/ijst/v17i6.2711","DOIUrl":"https://doi.org/10.17485/ijst/v17i6.2711","url":null,"abstract":"Objectives: In India, the professional performance of the academic faculty is assessed annually using Academic Performance Indicator (API) as per the University Grants Commission (UGC), Government of India. This is a manual model is cumbersome in filling, and time-consuming. As a planned change and a measure to introduce technology-based platforms in JSS Academy of Higher Education & Research (JSSAHER), Mysuru, India, we have designed, developed, and validated digital platform technology to evaluate the annual performance of faculty working in medical, dental, pharmacy, life sciences fraternities. Methods: Academic Performance Indicator (API) guideline as per the University Grants Commission (UGC), Government of India, was used to design and develop the digital performance-based appraisal system (d-PBAS), and its performance was validated (20% random sampling) by comparing the manual and digital data entered by the faculty from different disciplines of JSSAHER. Findings: The present manuscript demonstrates the designing and validation methodology of d-PBAS. Software Development Life Cycle (SDLC) process and Waterfall model was adopted to develop d-PBAS. The digital platform was assessed for the performance and ranking of the faculty. More than 96% of the users expressed satisfaction and 4% expressed dissatisfaction in d-PBAS. Novelty: For the first of its kind in a university set up in India, JSSAHER designed and validated the digital performance-based appraisal system to evaluate academic performance. Since d-PBAS was developed using the SDLC process and Waterfall model it is easy and consumes less time to enter the data. The most important highlight is d-PBAS helps to rank the faculty performance automatically. The design and validation of d-PBAS described in the present manuscript are simple, robust, cost-effective, and have a go-green value. Keywords: Change Management, Higher Education Institutions, Performancebased, Appraisal System, academic Performance Indicator, digital technology","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139784667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-12DOI: 10.17485/ijst/v17i6.2814
Ashwini Katkar, V. Dongre
Objectives: This study investigates the correlation of critical factors influencing throughput and efficiency in diffusion-based molecular communication systems. Method: The study presents a simulation model for 3-D diffusion-based molecular communication, incorporating essential parameters such as molecule size, transmission rate, diffusion rate, and transmitter-receiver distance. Findings: Through comprehensive simulations, the study reveals the effects of different parameters on throughput and efficiency in diffusion-based molecular communication. It highlights the critical trade-offs associated with system design and optimization. The study reveals the key factors influencing the transmission capabilities, the receiver congestion, and the overall efficiency of the communication system. Novelty: In this study, we give a study overview of the latest work of performance metrics in the field of molecular communication. A novel algorithm is proposed to find the throughput and efficiency of molecular communication. The proposed framework analyzes the intricate relationship between system parameters and performance metrics, emphasizing the potential for system optimization. Our simulation work demonstrates how the model parameters influence the performance of the molecular communication system, providing insights for enhancing the system's performance in applications such as targeted drug delivery in the future. Keywords: Molecular Communication, Diffusion, Transmission Rate, Throughput, Efficiency
{"title":"Assessing Molecular Throughput and Efficiency through Simulation in Diffusion-Based Molecular Communication","authors":"Ashwini Katkar, V. Dongre","doi":"10.17485/ijst/v17i6.2814","DOIUrl":"https://doi.org/10.17485/ijst/v17i6.2814","url":null,"abstract":"Objectives: This study investigates the correlation of critical factors influencing throughput and efficiency in diffusion-based molecular communication systems. Method: The study presents a simulation model for 3-D diffusion-based molecular communication, incorporating essential parameters such as molecule size, transmission rate, diffusion rate, and transmitter-receiver distance. Findings: Through comprehensive simulations, the study reveals the effects of different parameters on throughput and efficiency in diffusion-based molecular communication. It highlights the critical trade-offs associated with system design and optimization. The study reveals the key factors influencing the transmission capabilities, the receiver congestion, and the overall efficiency of the communication system. Novelty: In this study, we give a study overview of the latest work of performance metrics in the field of molecular communication. A novel algorithm is proposed to find the throughput and efficiency of molecular communication. The proposed framework analyzes the intricate relationship between system parameters and performance metrics, emphasizing the potential for system optimization. Our simulation work demonstrates how the model parameters influence the performance of the molecular communication system, providing insights for enhancing the system's performance in applications such as targeted drug delivery in the future. Keywords: Molecular Communication, Diffusion, Transmission Rate, Throughput, Efficiency","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139842630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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