2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)最新文献

Driving Sustainability using Big Data Analytics 利用大数据分析推动可持续发展

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459428

Dhriti Ashtekar T, Nishit Khamesra, M. S. Bhargavi

{"title":"Driving Sustainability using Big Data Analytics","authors":"Dhriti Ashtekar T, Nishit Khamesra, M. S. Bhargavi","doi":"10.1109/ICETSIS61505.2024.10459428","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459428","url":null,"abstract":"With the explosion of data in the digital age, Big Data Analytics (BDA) has been embraced as a powerful technology for businesses to gain insights and make data-driven decisions. Its impact is evident across various industries, from fast-food chains utilizing it for personalized marketing to healthcare institutions employing it for improved patient care. This research explores the burgeoning field of BDA concerning sustainability by employing case studies to illuminate the powerful ways BDA empowers companies to move towards sustainability, aiming to demonstrate its transformative potential in achieving environmental and social goals. A humongous amount of data is generated, estimated at 2.5 quintillion bytes daily, which provides a fertile ground for BDA applications. Harnessing this data will help companies gain valuable insights into their environmental footprint, optimize resource utilization, and frame ingenious solutions for sustainability challenges. As a case study, we will be delving into Allbirds, a company that has sustainability as a core concept, that has identified pivotal areas for enhancement and incorporated data-driven solutions to optimize resource utilization and minimize the environmental impact to cope with issues such as climate changes and global warming. As another case study, we will explore Siemens which demonstrates the transformative power of big data in achieving broader environmental and social goals using their MindSphere platform.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"360 7-8","pages":"258-262"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530481","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}

引用次数: 0

Analysis of User Satisfaction with Battery Electric Vehicles: Toward Green Transportation in Jakarta 电池电动汽车用户满意度分析：雅加达的绿色交通

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459567

Aldi Damora Siregar, Fitria Indah Astari, Nabilla Farah Raissa Maharani, Ardhy Lazuardy, R. Nurcahyo, M. Habiburrahman

{"title":"Analysis of User Satisfaction with Battery Electric Vehicles: Toward Green Transportation in Jakarta","authors":"Aldi Damora Siregar, Fitria Indah Astari, Nabilla Farah Raissa Maharani, Ardhy Lazuardy, R. Nurcahyo, M. Habiburrahman","doi":"10.1109/ICETSIS61505.2024.10459567","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459567","url":null,"abstract":"Due to the action taken to combat climate change, the world is on its time to transition vehicles to battery-electric vehicles. This research examines the satisfaction levels among DKI Jakarta residents using Battery Electric Vehicles (BEVs). Through a comprehensive analysis, this study aims to identify critical factors resulting in three factors with the highest total user satisfaction scale, including government policy, environmental sustainability, and recommendations. There were also three factors with the lowest entire scale, including charging location, brand, and the price of the BEVs. Using survey data and statistical methods, the weighted average total user satisfaction level was found to be 4.38, indicating that overall, electric car users are delighted with the performance of electric cars. The findings contribute valuable insights for policymakers, urban planners, and industry stakeholders, offering a nuanced understanding of the dynamics shaping satisfaction with BEVs in the context of DKI Jakarta.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"108 1","pages":"1178-1182"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530205","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}

引用次数: 0

The Challenges of The Artificial Intelligence of Law in The Context of Technological Development 技术发展背景下法律人工智能的挑战

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459547

Mahmoud Khalifa, Mahmoud Sabry

{"title":"The Challenges of The Artificial Intelligence of Law in The Context of Technological Development","authors":"Mahmoud Khalifa, Mahmoud Sabry","doi":"10.1109/ICETSIS61505.2024.10459547","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459547","url":null,"abstract":"Intelligent intelligence is the most exciting technological development of our modern age. In the area of legal practice, artificial intelligence has played a prominent role in demonstrating a proactive perception and conclusion of the outcome of judicial proceedings with precision, comprehensiveness, and maximum speed. It helps to inform and inform lawyers about the development and definition of litigation strategies. The study highlights the advantages and disadvantages of artificial intelligence in the legal field and has produced several important findings. One of these results is the need to balance humans and robots so that artificial intelligence does not replace the human mind because of the progress and evolution of algorithms. However, the legal community must effectively exploit the capabilities of artificial intelligence and view it as a complementary tool to the human mind by establishing an appropriate legal framework governing its use and defining the legal responsibility for that innovative technology. In this way, we will be able to make the most of artificial intelligence in the administration of justice and the improvement of the justice system.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"194 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530082","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}

引用次数: 0

Integrated Transfer Learning and Nature-Inspired Optimization for Enhanced Feature Extraction in Diabetic Retinopathy Image Analysis 在糖尿病视网膜病变图像分析中整合迁移学习和自然启发优化技术以增强特征提取能力

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459394

R. Tiwari, Anurag Kumar

{"title":"Integrated Transfer Learning and Nature-Inspired Optimization for Enhanced Feature Extraction in Diabetic Retinopathy Image Analysis","authors":"R. Tiwari, Anurag Kumar","doi":"10.1109/ICETSIS61505.2024.10459394","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459394","url":null,"abstract":"This research aims to detect diabetic retinopathy using optimized features extracted from deep learning model. Initially, several deep learning architectures are trained using retinal image dataset and the best model is determined. Regarding transfer learning approaches for diabetic retinopathy patients, SqueezeNet seems to be the best model. The proposed model in this research relies on a two-stage optimization process to enhance the features extracted by SqueezeNet. Deep features obtained by SqueezeNet are optimized using Particle Swarm Optimization (PSO) and the Crow Search Algorithm (CSA). Merging the results of the two optimization methods with a value-maximizing solution is essential for producing an accurate and resilient feature vector. The proposed hybrid model employs a variety of machine-learning algorithms to classify diabetic retinopathy and non-diabetic retinopathy cases. The experimental findings indicate that the suggested method is effective with correct classification accuracy of 96.8%.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"123 5-6","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530103","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}

引用次数: 0

An IoT Based Smart Hydroponics – Plant Automation BOT 基于物联网的智能水培 - 植物自动化 BOT

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459376

Pravalika Reddy, Mohammed Sohel, Santosh Madeva Naik

引用次数: 0

Reconfigurable Intelligent Reflecting Surfaces Enabled Spectrum Access for Beyond 5G Networks 可重构的智能反射面实现了超越 5G 网络的频谱接入

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459475

Raymond Sabogu-Sumah, K. A. Opare, J. Gadze, Edmund Y. Fianko, Timothy Ashong

引用次数: 0

An Integrated Task-Technology Fit and Technology Acceptance Model Theories of Massive Online Open Courses Applications: An Empirical Study of Students in Indonesia 大规模在线开放课程应用的任务-技术契合和技术接受模型综合理论：印度尼西亚学生的实证研究

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459455

L. Wijaya, Apata Stella Bolanle, Kin Meng Cheng, Kah Choon Ng, Vional Vional, J. W. Wahono

{"title":"An Integrated Task-Technology Fit and Technology Acceptance Model Theories of Massive Online Open Courses Applications: An Empirical Study of Students in Indonesia","authors":"L. Wijaya, Apata Stella Bolanle, Kin Meng Cheng, Kah Choon Ng, Vional Vional, J. W. Wahono","doi":"10.1109/ICETSIS61505.2024.10459455","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459455","url":null,"abstract":"The objective of this research is to propose a comprehensive model that combines the technology acceptance model (TAM) and the task fit technology (TTF) model, with the aim of investigating the intention to continue using MOOCs of the behaviors associated with this context can be achieved by utilizing a research methodology that integrates the TAM for adoption and the TTF model for utility. The total sample of 326 MOOC app users was analyzed using the PLS-SEM method with SmartPLS. Attitude towards MOOCs is crucial for their desired use. Predicting the intention to continue using MOOC applications involves various factors, including the perceived ease of use, perceived usefulness, and the fit between the task and the technology. All of the hypotheses were confirmed by the findings. The study results suggest that the perception of ease of use is strongly shaped by the fit between the task and the technology, closely followed by the perception of usefulness. Therefore, if a MOOC application is considered suitable, users will continue to use it, thereby enhancing the sustainability of the business. Lastly, the theoretical and practical consequences are brought forth and deliberated upon, and recommendations for forthcoming investigations are proffered.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"368 2-3","pages":"1480-1485"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530454","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}

引用次数: 0

Potential of Harnessing Green Electricity Using Photovoltaic Modules on Pitched Rooftop Using DC-DC Boost Converter 利用直流-直流升压转换器在斜屋顶上使用光伏组件获取绿色电力的潜力

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459702

M. N. Mamat, S. Kaharuddin, M.N. Abdullah, D. Ishak

引用次数: 0

Antecedents of Individuals' Switching Intention to Adopt Sharia Compliance in Fintech Transactions among Generation Y: A Case of Thai Southern Borders Provinces Y 世代中个人在金融科技交易中采用符合伊斯兰教法的转换意向的前因：泰国南部边境省份案例

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459354

A. Hassama, Mohamed Soliman, Tawat Noipom

引用次数: 0

The Impact of Generative Artificial Intelligence on Organizational Innovation Performance: Roles of AI Generated Content Quality, AI Experience, and AI Usage Environment 生成式人工智能对组织创新绩效的影响：人工智能生成内容质量、人工智能体验和人工智能使用环境的作用

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459661

Haonan Xu, Ruoxuan Xu, Hongyu Lin, Xiaojuan He

{"title":"The Impact of Generative Artificial Intelligence on Organizational Innovation Performance: Roles of AI Generated Content Quality, AI Experience, and AI Usage Environment","authors":"Haonan Xu, Ruoxuan Xu, Hongyu Lin, Xiaojuan He","doi":"10.1109/ICETSIS61505.2024.10459661","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459661","url":null,"abstract":"With the progress of artificial intelligence (AI), generative AI has emerged as a novel catalyst for driving innovation within enterprises. This study, rooted in behavior activation theory, endeavors to examine the impact of generative AI on enterprise innovation. A conceptual model is formulated to elucidate the relationship between generative AI and enterprise innovation. Utilizing structural equation modeling to scrutinize this model, the findings reveal substantial positive effects: AI generated content quality significantly influences the activation of enterprise innovation behavior (ß = 0.37, t-value = 7.64, p < 0.01), AI experience has a notable positive impact on innovation behavior activation (ß = 0.19, t-value = 3.47, p < 0.01), and a supportive AI usage environment significantly influences the activation of enterprise innovation behavior (ß= 0.46, t-value = 10.48, p <0.01). Furthermore, innovation behavior activation makes a significant contribution to enterprise innovation performance (ß = 0.65, t-value = 18.23, p < 0.01).","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"412 8","pages":"1802-1807"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530405","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}

引用次数: 0