The rise of Industry 4.0, marked by its focus on digitalization and intelligent technologies, is redefining traditional warehouse operations within smart cities. This new era leverages tools like Artificial Intelligence (AI) and the Internet of Things (IoT) to create automated solutions that address the complex challenges faced by modern urban centers. While smart cities grapple with interconnected issues, traditional methods often fall short. Data-driven, technology-powered solutions offer a more efficient approach. In the field of logistics, innovative warehouse solutions are emerging to address the growing complexities of the supply chain. One major challenge faced by many small businesses is inaccurate inventory knowledge, leading to inefficient warehouse management. This research proposes a cost-effective solution that utilizes Industry 4.0 technologies, specifically AI and IoT, to optimize inventory control and reorder point forecasting. This approach aims to democratize warehouse efficiency in smart cities by making it accessible to businesses of all sizes. This paves the way for a “smarter” future, upgrading warehouses with intelligent yet affordable solutions.
{"title":"Configuration based on Industry 4.0 technologies as a step towards an affordable smart warehouse","authors":"José E. Ruiz, Irma Martínez, Carlos Juárez","doi":"10.3233/scs-240001","DOIUrl":"https://doi.org/10.3233/scs-240001","url":null,"abstract":"The rise of Industry 4.0, marked by its focus on digitalization and intelligent technologies, is redefining traditional warehouse operations within smart cities. This new era leverages tools like Artificial Intelligence (AI) and the Internet of Things (IoT) to create automated solutions that address the complex challenges faced by modern urban centers. While smart cities grapple with interconnected issues, traditional methods often fall short. Data-driven, technology-powered solutions offer a more efficient approach. In the field of logistics, innovative warehouse solutions are emerging to address the growing complexities of the supply chain. One major challenge faced by many small businesses is inaccurate inventory knowledge, leading to inefficient warehouse management. This research proposes a cost-effective solution that utilizes Industry 4.0 technologies, specifically AI and IoT, to optimize inventory control and reorder point forecasting. This approach aims to democratize warehouse efficiency in smart cities by making it accessible to businesses of all sizes. This paves the way for a “smarter” future, upgrading warehouses with intelligent yet affordable solutions.","PeriodicalId":515368,"journal":{"name":"Journal of Smart Cities and Society","volume":" 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675939","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 Art Places/Places of Interest (POI) are increasingly important for Singapore and Hong Kong in their bid to be Global Cities. The design and operation of such Art Places are often led by the museum owners, city government and panel of experts from a top down approach, as well as funded by national governments for public benefit as part of long-term planning. The inputs from the actual users are often neglected. Public participation in Art Places/POI is often limited by individual visits and interactions. The diverse views and feedback on the design and operation of Art Places are difficult to capture accurately. In order to understand the perceptions of the users, extensive and expensive surveys and interviews need to be undertaken. Despite this, there is still a challenge of selection bias and interpretation bias. This paper explores the use of technology and big data to understand the similarities and differences between well-liked and disappointing areas of Art Places/POI in Singapore and Hong Kong. Public reviews on Art Places/POI in Singapore and Hong Kong will be examined using Natural Language Processing tools including the prevalent topic modelling method, namely Latent Dirichlet Allocation. The study revealed common strengths and weaknesses among artistic venues in Singapore and Hong Kong. “Place and experience” emerged as a common strength, while “price and content” were identified as a shared weakness. Singapore’s Art Places were distinguished by a unique strength in their “kid-friendly element,” whereas Hong Kong excelled in “food and shopping.” However, Singapore faced a unique weakness in “racial enclaves,” whereas Hong Kong’s distinctive weakness lay in “service.” These insights can aid urban planners and operators in comprehending and addressing areas of improvement highlighted by negative reviews, thereby enhancing overall performance.
{"title":"Use of natural language processing to understand users’ perspective on the art places/places of interest in global cities Singapore and Hong Kong","authors":"Xinyu Zeng, F. P. Ortner, Bige Tunçer","doi":"10.3233/scs-240005","DOIUrl":"https://doi.org/10.3233/scs-240005","url":null,"abstract":"The Art Places/Places of Interest (POI) are increasingly important for Singapore and Hong Kong in their bid to be Global Cities. The design and operation of such Art Places are often led by the museum owners, city government and panel of experts from a top down approach, as well as funded by national governments for public benefit as part of long-term planning. The inputs from the actual users are often neglected. Public participation in Art Places/POI is often limited by individual visits and interactions. The diverse views and feedback on the design and operation of Art Places are difficult to capture accurately. In order to understand the perceptions of the users, extensive and expensive surveys and interviews need to be undertaken. Despite this, there is still a challenge of selection bias and interpretation bias. This paper explores the use of technology and big data to understand the similarities and differences between well-liked and disappointing areas of Art Places/POI in Singapore and Hong Kong. Public reviews on Art Places/POI in Singapore and Hong Kong will be examined using Natural Language Processing tools including the prevalent topic modelling method, namely Latent Dirichlet Allocation. The study revealed common strengths and weaknesses among artistic venues in Singapore and Hong Kong. “Place and experience” emerged as a common strength, while “price and content” were identified as a shared weakness. Singapore’s Art Places were distinguished by a unique strength in their “kid-friendly element,” whereas Hong Kong excelled in “food and shopping.” However, Singapore faced a unique weakness in “racial enclaves,” whereas Hong Kong’s distinctive weakness lay in “service.” These insights can aid urban planners and operators in comprehending and addressing areas of improvement highlighted by negative reviews, thereby enhancing overall performance.","PeriodicalId":515368,"journal":{"name":"Journal of Smart Cities and Society","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141677868","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}
{"title":"Preface to the Journal of Smart Cities and Society issue 3(2)","authors":"Juan Carlos Augusto","doi":"10.3233/scs-246001","DOIUrl":"https://doi.org/10.3233/scs-246001","url":null,"abstract":"","PeriodicalId":515368,"journal":{"name":"Journal of Smart Cities and Society","volume":" 48","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141679815","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}
Theresa Castor, Melissa Gregg, Molly McBride, Peggy James
The transition to smart factories, characterized by computer-integrated facilities and advanced technologies, has heightened the demand for specific and advanced skills in workers. This multidisciplinary project brings together insights from cognitive psychology research and qualitative field research to present a framework that identifies factors at the individual and organizational system levels for success in smart manufacturing. The cognitive psychology research indicated that augmenting human cognition, particularly memory, significantly improved performance in training scenarios. The field research resulted in a multi-factor framework to address individual and organizational decision-making factors. A proposal is presented to apply the research findings to designing a training paradigm for smart manufacturing workers and facilities to be adaptable for a variety of situations.
{"title":"An investigation of worker decision-making optimization for smart manufacturing","authors":"Theresa Castor, Melissa Gregg, Molly McBride, Peggy James","doi":"10.3233/scs-240002","DOIUrl":"https://doi.org/10.3233/scs-240002","url":null,"abstract":"The transition to smart factories, characterized by computer-integrated facilities and advanced technologies, has heightened the demand for specific and advanced skills in workers. This multidisciplinary project brings together insights from cognitive psychology research and qualitative field research to present a framework that identifies factors at the individual and organizational system levels for success in smart manufacturing. The cognitive psychology research indicated that augmenting human cognition, particularly memory, significantly improved performance in training scenarios. The field research resulted in a multi-factor framework to address individual and organizational decision-making factors. A proposal is presented to apply the research findings to designing a training paradigm for smart manufacturing workers and facilities to be adaptable for a variety of situations.","PeriodicalId":515368,"journal":{"name":"Journal of Smart Cities and Society","volume":"115 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141362848","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}
Food wastage because of the lack or incompletion of a household replenishment system is an essential topic to be addressed. An appropriate utilization of Internet of Things (IoT) and Artificial Intelligence (AI) technologies with particular components is needed to design a smart household replenishment system to reduce food wastage. Therefore, this systematic review is dedicated to survey papers utilizing IoT and AI tools for perishable items storage compartments, as they are always full of items that need to be monitored. This study was conducted by following the PRISMA search strategy. It examined 70 papers in chronological order starting from 2000 when LG Electronics invented the first smart refrigerator, and research on technology involvement in food storage compartments increased. This comprehensive research aims to point out the approaches, contributions, used components and limitations of the reviewed papers to develop a unified framework for a household replenishment system. The analysis resulted in 43 approaches using IoT technology, 27 using AI, and recently the use of AIoT has been trending in the past two years. This systematic review provides future directions for researchers acquired from the limitations of the reviewed papers to enhance the household replenishment system by developing and adding required features in smart food storage compartments. Further investigation into smart home appliances would lead to extensive approaches like smart shops, industries, and eventually smart cities.
{"title":"Using IoT and AI to replenish household food supplies: A systematic review","authors":"Khaled Mosaed Almassar, Mohammad T. Khasawneh","doi":"10.3233/scs-230022","DOIUrl":"https://doi.org/10.3233/scs-230022","url":null,"abstract":"Food wastage because of the lack or incompletion of a household replenishment system is an essential topic to be addressed. An appropriate utilization of Internet of Things (IoT) and Artificial Intelligence (AI) technologies with particular components is needed to design a smart household replenishment system to reduce food wastage. Therefore, this systematic review is dedicated to survey papers utilizing IoT and AI tools for perishable items storage compartments, as they are always full of items that need to be monitored. This study was conducted by following the PRISMA search strategy. It examined 70 papers in chronological order starting from 2000 when LG Electronics invented the first smart refrigerator, and research on technology involvement in food storage compartments increased. This comprehensive research aims to point out the approaches, contributions, used components and limitations of the reviewed papers to develop a unified framework for a household replenishment system. The analysis resulted in 43 approaches using IoT technology, 27 using AI, and recently the use of AIoT has been trending in the past two years. This systematic review provides future directions for researchers acquired from the limitations of the reviewed papers to enhance the household replenishment system by developing and adding required features in smart food storage compartments. Further investigation into smart home appliances would lead to extensive approaches like smart shops, industries, and eventually smart cities.","PeriodicalId":515368,"journal":{"name":"Journal of Smart Cities and Society","volume":"56 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140440425","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 Metaverse is experiencing widespread adoption by organizations aiming to elevate brand engagement, particularly in computer engineering’s burgeoning field focused on virtual world gamification. This trend spans various sectors, including network science, smart cities, and online games. This study aims to reveal the motivations driving the use of virtual media, providing valuable insights into diverse user preferences. Integrating this information into smart city development holds promise for enhancing responsiveness to user needs, making our dataset relevant for both governmental and private entities seeking to create virtual media platforms or smart cities tailored to user demands. This research contributes to the ongoing evolution of smart city design, aligning with user motivations and adapting to evolving trends in user behavior. The findings offer a foundation for informed decision-making, promoting a user-centric and responsive approach in developing virtual experiences within the smart city context. Our research paper focuses on investigating the motivation and necessity of virtual reality (VR) games for potential integration into smart cities. Targeting a specific demographic of 40 individuals aged 18 to 24 in the capital of Thailand, we utilized correlational research methods to explore motivations and needs for VR games. Through the development of a socially virtual game-free asset using Unity, our experiments shed light on the significant motivations for Generation Z in Thailand, emphasizing convenience, product appearance, and game effects. The findings highlight the pivotal roles of social engagement and the motivation for self-disclosure in building relationships. Additionally, our study suggests that social connections and shared experiences strongly motivate individuals to participate in gaming activities. Notably, female players are significantly influenced by social connections, while branding has a minimal impact on their motivation and desire.
{"title":"Exploring motivations for social games in virtual reality for smart cities","authors":"Kawin Meksumphun, C. Kerdvibulvech","doi":"10.3233/scs-230020","DOIUrl":"https://doi.org/10.3233/scs-230020","url":null,"abstract":"The Metaverse is experiencing widespread adoption by organizations aiming to elevate brand engagement, particularly in computer engineering’s burgeoning field focused on virtual world gamification. This trend spans various sectors, including network science, smart cities, and online games. This study aims to reveal the motivations driving the use of virtual media, providing valuable insights into diverse user preferences. Integrating this information into smart city development holds promise for enhancing responsiveness to user needs, making our dataset relevant for both governmental and private entities seeking to create virtual media platforms or smart cities tailored to user demands. This research contributes to the ongoing evolution of smart city design, aligning with user motivations and adapting to evolving trends in user behavior. The findings offer a foundation for informed decision-making, promoting a user-centric and responsive approach in developing virtual experiences within the smart city context. Our research paper focuses on investigating the motivation and necessity of virtual reality (VR) games for potential integration into smart cities. Targeting a specific demographic of 40 individuals aged 18 to 24 in the capital of Thailand, we utilized correlational research methods to explore motivations and needs for VR games. Through the development of a socially virtual game-free asset using Unity, our experiments shed light on the significant motivations for Generation Z in Thailand, emphasizing convenience, product appearance, and game effects. The findings highlight the pivotal roles of social engagement and the motivation for self-disclosure in building relationships. Additionally, our study suggests that social connections and shared experiences strongly motivate individuals to participate in gaming activities. Notably, female players are significantly influenced by social connections, while branding has a minimal impact on their motivation and desire.","PeriodicalId":515368,"journal":{"name":"Journal of Smart Cities and Society","volume":"31 47","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139607552","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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