Pub Date : 2024-07-30DOI: 10.30574/wjaets.2024.12.2.0278
Mohd. Khaleduzzaman, Shehrly Mahboob Hera
The main objective of this study is to find out Forensic Accounting and fraud investigation (FAFI) implementation chances in the context of Bangladesh. Another objective of this study is to find out the reasons behind implementing Forensic Accounting and fraud investigation in the banking sector of Bangladesh. This study has used regression, correlation and descriptive statistics to discuss the data. This study has collected a large number of sample from the accounting students who have forensic accounting knowledge or banking knowledge and the professionals of accounting. This study has provided a close ended questionnaire to the respondents to get their thoughts about it. This study has found out that the government initiative can be the most important factor to implement Forensic Accounting and fraud investigation in the banking sector of Bangladesh. If government wants to implement, it can be implemented easily. The possibilities of implementation of Forensic Accounting and fraud investigation can be increased if the regulatory bodies have the courage to make it happen. This should be implemented in Bangladesh, since, the implementation of Forensic Accounting and fraud investigation can improve the situation of financial crime in the context of Bangladesh. Universities can play a great role in the process of implementation since, the implementation can be smooth by increasing the business knowledge of the stakeholders of the industry. The implementation of this study is to find out the possible reasons to implementation of Forensic Accounting and fraud investigation in Bangladesh. Therefore, this study can help the stakeholders of the related industry to understand the important of Forensic Accounting and fraud investigation and the reasons of implementation in Bangladesh. This study can help to enlighten the core issues regarding FAFI. The contribution of this study can help the stakeholders of the general industries of Bangladesh. This study is one of the very few studies where, Forensic Accounting and fraud investigation has been discussed to implement it in an emerging economy. This study has studied the possibilities and reasons of the implementation, which is very rare in this case.
{"title":"Scope of Implication of Forensic accounting and Fraud Investigation in an emerging economy: An empirical study on the banking sector of Bangladesh","authors":"Mohd. Khaleduzzaman, Shehrly Mahboob Hera","doi":"10.30574/wjaets.2024.12.2.0278","DOIUrl":"https://doi.org/10.30574/wjaets.2024.12.2.0278","url":null,"abstract":"The main objective of this study is to find out Forensic Accounting and fraud investigation (FAFI) implementation chances in the context of Bangladesh. Another objective of this study is to find out the reasons behind implementing Forensic Accounting and fraud investigation in the banking sector of Bangladesh. This study has used regression, correlation and descriptive statistics to discuss the data. This study has collected a large number of sample from the accounting students who have forensic accounting knowledge or banking knowledge and the professionals of accounting. This study has provided a close ended questionnaire to the respondents to get their thoughts about it. This study has found out that the government initiative can be the most important factor to implement Forensic Accounting and fraud investigation in the banking sector of Bangladesh. If government wants to implement, it can be implemented easily. The possibilities of implementation of Forensic Accounting and fraud investigation can be increased if the regulatory bodies have the courage to make it happen. This should be implemented in Bangladesh, since, the implementation of Forensic Accounting and fraud investigation can improve the situation of financial crime in the context of Bangladesh. Universities can play a great role in the process of implementation since, the implementation can be smooth by increasing the business knowledge of the stakeholders of the industry. The implementation of this study is to find out the possible reasons to implementation of Forensic Accounting and fraud investigation in Bangladesh. Therefore, this study can help the stakeholders of the related industry to understand the important of Forensic Accounting and fraud investigation and the reasons of implementation in Bangladesh. This study can help to enlighten the core issues regarding FAFI. The contribution of this study can help the stakeholders of the general industries of Bangladesh. This study is one of the very few studies where, Forensic Accounting and fraud investigation has been discussed to implement it in an emerging economy. This study has studied the possibilities and reasons of the implementation, which is very rare in this case.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"9 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796035","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 : 2024-07-30DOI: 10.30574/wjaets.2024.12.2.0310
Nadeem Ahmed, Muhammad Umair
Customer retention has been identified as one of the most crucial difficulties in every Business particularly in the grocery retail industry. In this context, an accurate forecast of whether a client will leave the organisation, also known as churn prediction, is critical for businesses to undertake successful retention strategies. High churn rates result in massive losses for corporations because keeping existing customers is more profitable than getting new ones and getting a new customer costs five times as much as keeping an old one. As a result, firms should be able to track churn rates to calculate client churn. Also, if we know which clients are going to quit before they do, we may devise preventative measures. Also, current marketing strategies such as giving coupons to customers, the majority of whom do not use them, incur significant costs for marketing and sending. Knowing which customers are not going to use that coupon will assist organisations in devising alternative strategies to retain that customer rather than sending coupons. This paper studies Dunnhumby data and proposes 2 different models one for predicting the churn and the other for coupon redemption model and both uses XGBoost Classifier Model. When both models are used together, one will predict if the customer is going to churn, and to prevent churn, we use marketing techniques such as sending coupons, so the coupon redemption model will target whether the customer will use the coupon or not, so we do not send them those coupons and propose different retention methods for these customers. This can help businesses save money by reducing churners and saving money on marketing staff and sending promotions.
{"title":"Churn prediction using machine learning: A coupon optimization technique","authors":"Nadeem Ahmed, Muhammad Umair","doi":"10.30574/wjaets.2024.12.2.0310","DOIUrl":"https://doi.org/10.30574/wjaets.2024.12.2.0310","url":null,"abstract":"Customer retention has been identified as one of the most crucial difficulties in every Business particularly in the grocery retail industry. In this context, an accurate forecast of whether a client will leave the organisation, also known as churn prediction, is critical for businesses to undertake successful retention strategies. High churn rates result in massive losses for corporations because keeping existing customers is more profitable than getting new ones and getting a new customer costs five times as much as keeping an old one. As a result, firms should be able to track churn rates to calculate client churn. Also, if we know which clients are going to quit before they do, we may devise preventative measures. Also, current marketing strategies such as giving coupons to customers, the majority of whom do not use them, incur significant costs for marketing and sending. Knowing which customers are not going to use that coupon will assist organisations in devising alternative strategies to retain that customer rather than sending coupons. This paper studies Dunnhumby data and proposes 2 different models one for predicting the churn and the other for coupon redemption model and both uses XGBoost Classifier Model. When both models are used together, one will predict if the customer is going to churn, and to prevent churn, we use marketing techniques such as sending coupons, so the coupon redemption model will target whether the customer will use the coupon or not, so we do not send them those coupons and propose different retention methods for these customers. This can help businesses save money by reducing churners and saving money on marketing staff and sending promotions.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"5 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796313","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 : 2024-07-30DOI: 10.30574/wjaets.2024.12.2.0303
Kasim Ali, Mohammad, Sarhan M. Musa
The challenge of the greenhouse effect today is to find ways to prevent CO2 emissions, as this harmful gas causes global negative changes. One eco-friendly energy source is solar power, which uses a solar array system composed of various components. A critical part of this system is the Maximum Power Point Tracker (MPPT), which ensures optimal power generation. The MPPT's signal is sent to an Insulated Gate Bipolar Transistor (IGBT) via a Pulse Width Modulator (PWM), adjusting the system's resistance. Traditional controllers used the Perturbation and Observation (P&O) algorithm, which struggled with rapid environmental changes. The new AI-based Artificial Neural Network (ANN) controller improves efficiency by instantly adapting to changes. This work compares the ANN controller with the use of three data sets of 104, 201, and 1001 with three DC-DC converters: Boost, Cuk, and Single-Ended Primary Inductor Converter (SEPIC) converters.
{"title":"Optimization of solar energy using artificial neural network controller with dc-dc boost, cuk, and single-ended primary inductor converter (SEPIC) converters","authors":"Kasim Ali, Mohammad, Sarhan M. Musa","doi":"10.30574/wjaets.2024.12.2.0303","DOIUrl":"https://doi.org/10.30574/wjaets.2024.12.2.0303","url":null,"abstract":"The challenge of the greenhouse effect today is to find ways to prevent CO2 emissions, as this harmful gas causes global negative changes. One eco-friendly energy source is solar power, which uses a solar array system composed of various components. A critical part of this system is the Maximum Power Point Tracker (MPPT), which ensures optimal power generation. The MPPT's signal is sent to an Insulated Gate Bipolar Transistor (IGBT) via a Pulse Width Modulator (PWM), adjusting the system's resistance. Traditional controllers used the Perturbation and Observation (P&O) algorithm, which struggled with rapid environmental changes. The new AI-based Artificial Neural Network (ANN) controller improves efficiency by instantly adapting to changes. This work compares the ANN controller with the use of three data sets of 104, 201, and 1001 with three DC-DC converters: Boost, Cuk, and Single-Ended Primary Inductor Converter (SEPIC) converters.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"2 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795978","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 : 2024-07-30DOI: 10.30574/wjaets.2024.12.2.0298
M. Mpele, Baana Abouar, Okpwe Mbarga
Wood shavings which are waste products of the wood industries have been regrouped under the basis of their sizes in three classes. For every class, wood concretes prismatic samples of 4x4x16 cm3 dimensions have been prepared from the mixture of Bubinga wood shavings and Portland cement. Their physical (densities, water absorption rate) and mechanical (flexural and unconfined compressive strength) characteristics have been studied during 8 years. The results we obtained tend to show that the mechanical and physical characteristics of wood concrete are stable and depend: on the wood shavings class and the quantity of cement that have been used for their manufacture. The main result of this survey is that: the wood concrete so made can be used to produce chipboards for walls and insulations materials.
{"title":"Recovering wood wastes for potential use in building","authors":"M. Mpele, Baana Abouar, Okpwe Mbarga","doi":"10.30574/wjaets.2024.12.2.0298","DOIUrl":"https://doi.org/10.30574/wjaets.2024.12.2.0298","url":null,"abstract":"Wood shavings which are waste products of the wood industries have been regrouped under the basis of their sizes in three classes. For every class, wood concretes prismatic samples of 4x4x16 cm3 dimensions have been prepared from the mixture of Bubinga wood shavings and Portland cement. Their physical (densities, water absorption rate) and mechanical (flexural and unconfined compressive strength) characteristics have been studied during 8 years. The results we obtained tend to show that the mechanical and physical characteristics of wood concrete are stable and depend: on the wood shavings class and the quantity of cement that have been used for their manufacture. The main result of this survey is that: the wood concrete so made can be used to produce chipboards for walls and insulations materials.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"4 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796012","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 : 2024-07-30DOI: 10.30574/wjaets.2024.12.2.0289
Kasim Ali, Mohammad, Sarhan M. Musa
In today’s world, the need for clean energy is crucial. Historically, Renewable energy sources like hydropower, wind, and solar offer sustainable solutions. Photovoltaic (PV) systems convert sunlight into electricity using semiconductor PV cells, which have been efficient for over 30 years. PV cell efficiency depends on irradiance (solar photon intensity) and temperature. Higher irradiance increases efficiency, while higher temperatures decrease it. PV systems, despite low voltage outputs, can be optimized using DC-DC Positive Output Super Lift Luo converters to match load requirements, enhancing system efficiency. Solar irradiance varies throughout the day, affecting PV cell output. Maximum Power Point Trackers (MPPTs) adjust the system's operating point to maintain peak efficiency. This study focuses on designing AI controllers to manage MPPT. We compare the performance of Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN) using three datasets. The goal is to identify the most efficient AI controller for optimizing solar energy systems.
{"title":"Optimization of solar energy using artificial neural network vs recurrent neural network controller with positive output super lift Luo converter","authors":"Kasim Ali, Mohammad, Sarhan M. Musa","doi":"10.30574/wjaets.2024.12.2.0289","DOIUrl":"https://doi.org/10.30574/wjaets.2024.12.2.0289","url":null,"abstract":"In today’s world, the need for clean energy is crucial. Historically, Renewable energy sources like hydropower, wind, and solar offer sustainable solutions. Photovoltaic (PV) systems convert sunlight into electricity using semiconductor PV cells, which have been efficient for over 30 years. PV cell efficiency depends on irradiance (solar photon intensity) and temperature. Higher irradiance increases efficiency, while higher temperatures decrease it. PV systems, despite low voltage outputs, can be optimized using DC-DC Positive Output Super Lift Luo converters to match load requirements, enhancing system efficiency. Solar irradiance varies throughout the day, affecting PV cell output. Maximum Power Point Trackers (MPPTs) adjust the system's operating point to maintain peak efficiency. This study focuses on designing AI controllers to manage MPPT. We compare the performance of Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN) using three datasets. The goal is to identify the most efficient AI controller for optimizing solar energy systems.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796215","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 : 2024-07-30DOI: 10.30574/wjaets.2024.12.2.0304
Arpit Darbari, Manu Bhargava
The aim of our investigation has been to design and model and brake rotor for a TVS N Torq Scooty. The brake rotor of TVS N Torq was reduced in thickness and diameter to reduce weight but also designed to provide better results. In the present work design, modelling and analysis of the brake rotor that we have done on Dassault SOLIDWORKS. After series of analysis, we achieved the values as follows: Stress (1.742e+08 N/m2), Displacement (1242.8mm), and factor of safety (2.2) values within the permissible limit.
我们调查的目的是为 TVS N Torq Scooty 设计制动转子并制作模型。TVS N Torq 制动转子的厚度和直径都有所减小，以减轻重量，同时也是为了获得更好的效果。在本作品中，我们使用达索 SOLIDWORKS 对制动转子进行了设计、建模和分析。经过一系列分析，我们得出了以下数值：应力（1.742e+08 N/m2）、位移（1242.8mm）和安全系数（2.2）值均在允许范围内。
{"title":"Modelling of Brake Pad Disc with emphasis on dynamic analysis and deformation of structure.","authors":"Arpit Darbari, Manu Bhargava","doi":"10.30574/wjaets.2024.12.2.0304","DOIUrl":"https://doi.org/10.30574/wjaets.2024.12.2.0304","url":null,"abstract":"The aim of our investigation has been to design and model and brake rotor for a TVS N Torq Scooty. The brake rotor of TVS N Torq was reduced in thickness and diameter to reduce weight but also designed to provide better results. In the present work design, modelling and analysis of the brake rotor that we have done on Dassault SOLIDWORKS. After series of analysis, we achieved the values as follows: Stress (1.742e+08 N/m2), Displacement (1242.8mm), and factor of safety (2.2) values within the permissible limit.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"7 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796299","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}
The environmental impact of conventional drilling fluids necessitates exploring sustainable alternatives. This study investigates the potential of readily available eggshell and non-activated periwinkle shell powders as substitutes for Xanthan gum (XCD); a common fluid loss reducer in water-based drilling fluids. The study evaluates their effectiveness in reducing fluid loss, analyzes their physical and rheological properties, and offers insights into their potential advantages and limitations. Eggshell exhibited promising results, achieving comparable fluid loss control to Xanthan gum at an optimal concentration of 4g. non-activated periwinkle shell, while showing some effectiveness, required further investigation for optimal dosage or formulation to compete with Xanthan gum’s performance. Both shells had lower mud weight than Xanthan gum, potentially beneficial for specific scenarios, but their significantly lower viscosity and gel strength raise concerns about hole cleaning and cuttings suspension. This suggests their potential for low-pressure environments or situations where minimizing formation damage is crucial. Further research on dosage optimization, long-term stability, formation compatibility, cost-effectiveness, and environmental impact is recommended to fully assess the viability of these shell powders as sustainable fluid loss reducers for water-based drilling fluids. The promising initial findings pave the way for further exploration and development of this eco-friendly alternative, contributing to a more sustainable drilling industry.
{"title":"Critical performance evaluation of periwinkle and eggshells in drilling fluid rheology","authors":"Ndubuisi Elizabeth, Chinyerem, Emmanuel-Mamud, Eunice Ebubechukwu, Iloke Emeka","doi":"10.30574/wjaets.2024.12.2.0306","DOIUrl":"https://doi.org/10.30574/wjaets.2024.12.2.0306","url":null,"abstract":"The environmental impact of conventional drilling fluids necessitates exploring sustainable alternatives. This study investigates the potential of readily available eggshell and non-activated periwinkle shell powders as substitutes for Xanthan gum (XCD); a common fluid loss reducer in water-based drilling fluids. The study evaluates their effectiveness in reducing fluid loss, analyzes their physical and rheological properties, and offers insights into their potential advantages and limitations. Eggshell exhibited promising results, achieving comparable fluid loss control to Xanthan gum at an optimal concentration of 4g. non-activated periwinkle shell, while showing some effectiveness, required further investigation for optimal dosage or formulation to compete with Xanthan gum’s performance. Both shells had lower mud weight than Xanthan gum, potentially beneficial for specific scenarios, but their significantly lower viscosity and gel strength raise concerns about hole cleaning and cuttings suspension. This suggests their potential for low-pressure environments or situations where minimizing formation damage is crucial. Further research on dosage optimization, long-term stability, formation compatibility, cost-effectiveness, and environmental impact is recommended to fully assess the viability of these shell powders as sustainable fluid loss reducers for water-based drilling fluids. The promising initial findings pave the way for further exploration and development of this eco-friendly alternative, contributing to a more sustainable drilling industry.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"10 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795845","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 : 2024-07-30DOI: 10.30574/wjaets.2024.12.2.0262
Fredy Martínez, Angelica Rendón
In the field of engineering education, this study explores the impact of Project-Based Learning (PBL) on the conceptual achievements and motivation of technology students in electricity. The research took place at a public university in Colombia, where the aim was to enhance student learning outcomes in this area. The research design was quasi-experimental and included a pre- and post-test analysis, with a control group that received traditional teaching methods and an experimental group that was engaged in interactive instruction via PBL in a team-based format. The results of the study showed that the use of PBL in a team-based environment had a significant positive impact on the students' conceptual performance and motivation. The students who participated in the PBL activities displayed an increased level of knowledge acquisition, as well as a higher degree of motivation compared to the control group. The results also indicated that PBL activities helped students to understand the concepts more effectively, and motivated them to pursue academic goals. The research suggests that PBL can be an effective teaching strategy for technology students in electricity, providing them with a more interactive and engaging learning experience that results in enhanced conceptual performance and motivation. This study sheds light on the importance of incorporating PBL in engineering education, and contributes to the body of knowledge in the field. The findings are expected to be useful for educators, researchers, and educational institutions in their efforts to improve the quality of engineering education and foster student success.
{"title":"Impact of project-based learning on conceptual achievements and motivation of technology students in electricity","authors":"Fredy Martínez, Angelica Rendón","doi":"10.30574/wjaets.2024.12.2.0262","DOIUrl":"https://doi.org/10.30574/wjaets.2024.12.2.0262","url":null,"abstract":"In the field of engineering education, this study explores the impact of Project-Based Learning (PBL) on the conceptual achievements and motivation of technology students in electricity. The research took place at a public university in Colombia, where the aim was to enhance student learning outcomes in this area. The research design was quasi-experimental and included a pre- and post-test analysis, with a control group that received traditional teaching methods and an experimental group that was engaged in interactive instruction via PBL in a team-based format. The results of the study showed that the use of PBL in a team-based environment had a significant positive impact on the students' conceptual performance and motivation. The students who participated in the PBL activities displayed an increased level of knowledge acquisition, as well as a higher degree of motivation compared to the control group. The results also indicated that PBL activities helped students to understand the concepts more effectively, and motivated them to pursue academic goals. The research suggests that PBL can be an effective teaching strategy for technology students in electricity, providing them with a more interactive and engaging learning experience that results in enhanced conceptual performance and motivation. This study sheds light on the importance of incorporating PBL in engineering education, and contributes to the body of knowledge in the field. The findings are expected to be useful for educators, researchers, and educational institutions in their efforts to improve the quality of engineering education and foster student success.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"9 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795875","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 : 2024-07-30DOI: 10.30574/wjaets.2024.12.2.0295
Arpit Darbari
This research paper explores the innovative strides taken by Tesla in establishing its Supercharging network, a pivotal advancement in the field of electric vehicles (EVs). The study delves into the genesis, development, and impact of Tesla's Supercharging infrastructure on the EV market, highlighting its role in alleviating range anxiety, enhancing user experience, and propelling EV adoption globally. By examining the technological, economic, and strategic facets of Tesla’s Supercharging network, this paper aims to provide insights into how this initiative has reshaped the landscape of EV charging infrastructure and set a benchmark for other manufacturers. The case study underscores the importance of an extensive and reliable charging network in accelerating the transition to electric mobility, emphasizing the broader implications for sustainability and the automotive industry.
{"title":"Innovation in electric vehicle charging: A case study of tesla's supercharging network","authors":"Arpit Darbari","doi":"10.30574/wjaets.2024.12.2.0295","DOIUrl":"https://doi.org/10.30574/wjaets.2024.12.2.0295","url":null,"abstract":"This research paper explores the innovative strides taken by Tesla in establishing its Supercharging network, a pivotal advancement in the field of electric vehicles (EVs). The study delves into the genesis, development, and impact of Tesla's Supercharging infrastructure on the EV market, highlighting its role in alleviating range anxiety, enhancing user experience, and propelling EV adoption globally. By examining the technological, economic, and strategic facets of Tesla’s Supercharging network, this paper aims to provide insights into how this initiative has reshaped the landscape of EV charging infrastructure and set a benchmark for other manufacturers. The case study underscores the importance of an extensive and reliable charging network in accelerating the transition to electric mobility, emphasizing the broader implications for sustainability and the automotive industry.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"7 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796298","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 : 2024-07-30DOI: 10.30574/wjaets.2024.12.2.0287
Jauhari Tanisha, Pillai Adithya Rajesh, Roy Gaurpriya Singh, Koshy Adhip, Kothari Stuti, D. Ajitha
In Industry 4.0, data is enormously exchanged through wireless devices. Ensuring data privacy and protection is vital. The proposed review paper explores how AI techniques can safeguard sensitive information and ensure compliance. It explores fundamental technologies such as cyber-physical systems and the complex application of AI in analytics and predictive maintenance. The issues with data security are then emphasized and privacy concerns resulting from human-machine interaction are shown. Regulatory frameworks that direct enterprises are touted as essential defenses, coupled with AI-powered solutions and privacy-preserving tactics. Examples from everyday life highlight the constant battle for equilibrium. The review continues with a look ahead to future developments in interdisciplinary research and ethical issues that will influence Industry 4.0's responsible growth. In essence, this paper synthesizes a nuanced understanding of the sophisticated challenges surrounding privacy and data protection within Industry 4.0, underscoring the pivotal role of AI as a custodian of sensitive information and offering an indispensable resource for professionals, policymakers, and researchers navigating the intricate and evolving terrain of Industry 4.0 with technical precision and ethical responsibility.
{"title":"Privacy and data protection challenges in industry 4.0: An AI-driven perspective","authors":"Jauhari Tanisha, Pillai Adithya Rajesh, Roy Gaurpriya Singh, Koshy Adhip, Kothari Stuti, D. Ajitha","doi":"10.30574/wjaets.2024.12.2.0287","DOIUrl":"https://doi.org/10.30574/wjaets.2024.12.2.0287","url":null,"abstract":"In Industry 4.0, data is enormously exchanged through wireless devices. Ensuring data privacy and protection is vital. The proposed review paper explores how AI techniques can safeguard sensitive information and ensure compliance. It explores fundamental technologies such as cyber-physical systems and the complex application of AI in analytics and predictive maintenance. The issues with data security are then emphasized and privacy concerns resulting from human-machine interaction are shown. Regulatory frameworks that direct enterprises are touted as essential defenses, coupled with AI-powered solutions and privacy-preserving tactics. Examples from everyday life highlight the constant battle for equilibrium. The review continues with a look ahead to future developments in interdisciplinary research and ethical issues that will influence Industry 4.0's responsible growth. In essence, this paper synthesizes a nuanced understanding of the sophisticated challenges surrounding privacy and data protection within Industry 4.0, underscoring the pivotal role of AI as a custodian of sensitive information and offering an indispensable resource for professionals, policymakers, and researchers navigating the intricate and evolving terrain of Industry 4.0 with technical precision and ethical responsibility.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"12 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795921","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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