This study examines the Big Data Collection and Preprocessing course at Anhui Institute of Information Engineering,implementing a hybrid teaching reform using the Bosi Smart Learning Platform.The proposed hybrid model...This study examines the Big Data Collection and Preprocessing course at Anhui Institute of Information Engineering,implementing a hybrid teaching reform using the Bosi Smart Learning Platform.The proposed hybrid model follows a“three-stage”and“two-subject”framework,incorporating a structured design for teaching content and assessment methods before,during,and after class.Practical results indicate that this approach significantly enhances teaching effectiveness and improves students’learning autonomy.展开更多
Advances in the field of medical sciences and medical technology,and present-day challenges,such as an aging population,rising medical expenses,and lifestyle-related diseases,have collectively catalyzed a research eco...Advances in the field of medical sciences and medical technology,and present-day challenges,such as an aging population,rising medical expenses,and lifestyle-related diseases,have collectively catalyzed a research ecosystem termed“smart wellness.”This article describes the establishment of a smart wellness service platform designed to empower individuals to create a sense of balance in their lives.Step-by-step details include service model,design,and architectural considerations.As a proof of concept,implementation details of a Health Improvement and Management Systems(HIMS)Hub,a Smart Wellness Service Platform deployed in six cities in South Korea,are presented.An on-site survey conducted in Busan Metropolitan City reveals the percentage of satisfied users to be 91.3%.Furthermore,data gathered from 27,236 physical evaluations of users from a Busan city center over the period of April 2013 to May 2018 reveal that males and females in their 50s and 60s account for the highest number of participants,while males in their 70s have a higher rate of participation than females in the same age group.展开更多
With the rapid development of information technology,smart teaching platforms have become important tools for higher education teaching reform.As a core course of computer science and technology-related majors in high...With the rapid development of information technology,smart teaching platforms have become important tools for higher education teaching reform.As a core course of computer science and technology-related majors in higher education,the data structure course lays a solid foundation for students’professional learning and plays an important role in promoting their future success in technology,research,and industry.This study conducts an in-depth analysis of the pain points faced by the data structure course,and explores a teaching reform and practice of integration of theory and practice based on the system application of a smart teaching platform before class,during class,and after class.The reform practice shows that this teaching mode improves students’learning initiative,learning motivation,and practical skills.Students not only achieved better results in knowledge mastery but also significantly improved in problem analysis and solution.展开更多
The smart home platform integrates with Internet of Things(IoT)devices,smartphones,and cloud servers,enabling seamless and convenient services.It gathers and manages extensive user data,including personal information,...The smart home platform integrates with Internet of Things(IoT)devices,smartphones,and cloud servers,enabling seamless and convenient services.It gathers and manages extensive user data,including personal information,device operations,and patterns of user behavior.Such data plays an essential role in criminal inves-tigations,highlighting the growing importance of specialized smart home forensics.Given the rapid advancement in smart home software and hardware technologies,many companies are introducing new devices and services that expand the market.Consequently,scalable and platform-specific forensic research is necessary to support efficient digital investigations across diverse smart home ecosystems.This study thoroughly examines the core components and structures of smart homes,proposing a generalized architecture that represents various operational environments.A three-stage smart home forensics framework is introduced:(1)analyzing application functions to infer relevant data,(2)extracting and processing data from interconnected devices,and(3)identifying data valuable for investigative purposes.The framework’s applicability is validated using testbeds from Samsung SmartThings and Xiaomi Mi Home platforms,offering practical insights for real-world forensic applications.The results demonstrate that the proposed forensic framework effectively acquires and classifies relevant digital evidence in smart home platforms,confirming its practical applicability in smart home forensic investigations.展开更多
The traffic congestion has become an urgent problem to be solved,which appears in the domestic and foreign large and medium-sized cities.Intelligent transportation is one of the important applications of ubiquitous co...The traffic congestion has become an urgent problem to be solved,which appears in the domestic and foreign large and medium-sized cities.Intelligent transportation is one of the important applications of ubiquitous computing.And it's an important way to ease the traffic congestion of the city.Intelligent navigation system is an important embodiment of intelligent transportation.So far,there have been many kinds of traditional vehicle navigation systems.But when they are in use,drivers will pay extra attention to get the path information through the visual and auditory cues.It's dangerous for drivers when they drive.At the same time,with the development of science and technology,mobile navigation system has been widely used.The mobile navigation system is a comprehensive system which relates to the field of mobile communication and GPS.The objective of this paper is to develop a smart phone and interaction navigation system based on the feedback of vibration and micro programmed control unit(MCU)control system.When drivers are in the driving process,the new navigation system can avoid the same sense of multiple tasks,which makes each sensory focus on only one independent task.Through the analysis,the system is demonstrated to improve the driving safety.展开更多
基金2024 Anqing Normal University University-Level Key Project(ZK2024062D)。
文摘This study examines the Big Data Collection and Preprocessing course at Anhui Institute of Information Engineering,implementing a hybrid teaching reform using the Bosi Smart Learning Platform.The proposed hybrid model follows a“three-stage”and“two-subject”framework,incorporating a structured design for teaching content and assessment methods before,during,and after class.Practical results indicate that this approach significantly enhances teaching effectiveness and improves students’learning autonomy.
基金Korea Electric Power Corporation(Grant Number:R18XA02).
文摘Advances in the field of medical sciences and medical technology,and present-day challenges,such as an aging population,rising medical expenses,and lifestyle-related diseases,have collectively catalyzed a research ecosystem termed“smart wellness.”This article describes the establishment of a smart wellness service platform designed to empower individuals to create a sense of balance in their lives.Step-by-step details include service model,design,and architectural considerations.As a proof of concept,implementation details of a Health Improvement and Management Systems(HIMS)Hub,a Smart Wellness Service Platform deployed in six cities in South Korea,are presented.An on-site survey conducted in Busan Metropolitan City reveals the percentage of satisfied users to be 91.3%.Furthermore,data gathered from 27,236 physical evaluations of users from a Busan city center over the period of April 2013 to May 2018 reveal that males and females in their 50s and 60s account for the highest number of participants,while males in their 70s have a higher rate of participation than females in the same age group.
文摘With the rapid development of information technology,smart teaching platforms have become important tools for higher education teaching reform.As a core course of computer science and technology-related majors in higher education,the data structure course lays a solid foundation for students’professional learning and plays an important role in promoting their future success in technology,research,and industry.This study conducts an in-depth analysis of the pain points faced by the data structure course,and explores a teaching reform and practice of integration of theory and practice based on the system application of a smart teaching platform before class,during class,and after class.The reform practice shows that this teaching mode improves students’learning initiative,learning motivation,and practical skills.Students not only achieved better results in knowledge mastery but also significantly improved in problem analysis and solution.
文摘The smart home platform integrates with Internet of Things(IoT)devices,smartphones,and cloud servers,enabling seamless and convenient services.It gathers and manages extensive user data,including personal information,device operations,and patterns of user behavior.Such data plays an essential role in criminal inves-tigations,highlighting the growing importance of specialized smart home forensics.Given the rapid advancement in smart home software and hardware technologies,many companies are introducing new devices and services that expand the market.Consequently,scalable and platform-specific forensic research is necessary to support efficient digital investigations across diverse smart home ecosystems.This study thoroughly examines the core components and structures of smart homes,proposing a generalized architecture that represents various operational environments.A three-stage smart home forensics framework is introduced:(1)analyzing application functions to infer relevant data,(2)extracting and processing data from interconnected devices,and(3)identifying data valuable for investigative purposes.The framework’s applicability is validated using testbeds from Samsung SmartThings and Xiaomi Mi Home platforms,offering practical insights for real-world forensic applications.The results demonstrate that the proposed forensic framework effectively acquires and classifies relevant digital evidence in smart home platforms,confirming its practical applicability in smart home forensic investigations.
基金Supported by the National High Technology Research and Development Program of China(863 Program)(2013AA013704)the National Youth Natural Science Foundation of China(61300145,61332017)+2 种基金the Postdoctoral Science Foundation of China(2014M561294)the Science and Technology Development Program Funded Projects of Jilin Province(20150520065JH)the National Key Technology Support Program(2015BAK04B00)
文摘The traffic congestion has become an urgent problem to be solved,which appears in the domestic and foreign large and medium-sized cities.Intelligent transportation is one of the important applications of ubiquitous computing.And it's an important way to ease the traffic congestion of the city.Intelligent navigation system is an important embodiment of intelligent transportation.So far,there have been many kinds of traditional vehicle navigation systems.But when they are in use,drivers will pay extra attention to get the path information through the visual and auditory cues.It's dangerous for drivers when they drive.At the same time,with the development of science and technology,mobile navigation system has been widely used.The mobile navigation system is a comprehensive system which relates to the field of mobile communication and GPS.The objective of this paper is to develop a smart phone and interaction navigation system based on the feedback of vibration and micro programmed control unit(MCU)control system.When drivers are in the driving process,the new navigation system can avoid the same sense of multiple tasks,which makes each sensory focus on only one independent task.Through the analysis,the system is demonstrated to improve the driving safety.