Smart Technology for “Clean Your Plate” Campaign against Wasting Food in University Canteens

Food security is becoming increasingly prominent due to the impact of the COVID-19 and extreme weathers. The Smart Project for “Clean Your Plate” Campaign has been designed and implemented to address food waste on campus. The project takes advantage of technologies such as IoT, dynamic QR code, and visual recognition. Smart devices for clear plate recognition can be installed in multiple locations in campus cafeterias and canteens. Users can login onto a public account and a Mini Program for points reward, exchange and sale. Combining offline clear plate recognition and online points exchange, the project encourages food saving and reduces human cost for university canteens.

Geospatial Technology Integration in Smart City Frameworks for Achieving Climate Neutrality by 2050: A Case Study of Limassol Municipality, Cyprus

This study investigated the integration of geospatial technologies within smart city frameworks to achieve the European Union’s climate neutrality goals by 2050. Focusing on rapid urbanization and escalating climate challenges, the research analyzed how smart city frameworks, aligned with climate neutrality objectives, leverage geospatial technologies for urban planning and climate action. The study included case studies from three leading European cities, extracting lessons and best practices in implementing Climate City Contracts across sectors like energy, transport, and waste management. These insights highlighted the essential role of EU and national authorities in providing technical, regulatory, and financial support. Additionally, the paper presented the application of a WEBGIS platform in Limassol Municipality, Cyprus, demonstrating citizen engagement and acceptance of the proposed geospatial framework. Concluding with recommendations for future research, the study contributed significant insights into the advancement of urban sustainability and the effectiveness of geospatial technologies in smart city initiatives for combating climate change.

Construction and Application Exploration of Smart Agriculture Based on Big Data Technology

Big data finds extensive application and many fields.It brings new opportunities for the development of agriculture.Using big data technology to promote the development of smart agriculture can greatly improve the effect of agricultural planting,reduce the input of manpower and material resources,and lay a solid foundation for the realization of agricultural modernization.In this regard,this paper briefly analyzes the construction and application of smart agriculture based on big data technology,hoping to provide some valuable insights for readers.

Research on the Application of Big Data and Cloud Computing Technology in Smart Campus

The current education field is experiencing an innovation driven by big data and cloud technologies,and these advanced technologies play a central role in the construction of smart campuses.Big data technology has a wide range of applications in student learning behavior analysis,teaching resource management,campus safety monitoring,and decision support,which improves the quality of education and management efficiency.Cloud computing technology supports the integration,distribution,and optimal use of educational resources through cloud resource sharing,virtual classrooms,intelligent campus management systems,and Infrastructure-as-a-Service(IaaS)models,which reduce costs and increase flexibility.This paper comprehensively discusses the practical application of big data and cloud computing technologies in smart campuses,showing how these technologies can contribute to the development of smart campuses,and laying the foundation for the future innovation of education models.

Smart horticulture as an emerging interdisciplinary field combining novel solutions:Past development,current challenges,and future perspectives

Horticultural products such as fruits,vegetables,and tea offer a range of important nutrients such as protein,carbohydrates,vitamins and lipids.However,the present yield and quality do not meet the requirements of the rapid population growth associated with global climate change,the decline in horticultural practitioners,poor automation,and epidemic diseases such as COVID-19.In this context,smart horticulture is expected to greatly improve the land output rates,resource-use efficiency,and productivity,all of which should facilitate the sustainable development of the horticulture industry.Emerging technologies,such as artificial intelligence,big data,the Internet of Things,and cloud computing,play an important role.This paper reviews past developments and current challenges,offering future perspectives for horticultural chain management.We expect that the horticulture industry would benefit from integration with smart technologies.This requires the use of novel solutions to build a new advanced system encompassing smart breeding,smart cultivation,smart transportation,and smart sales.Finally,a new development approach combining precise perception,smart operation,and smart control should be instituted in the horticulture industry.Within 30 years,we expect that the industry will embrace mechanical,automatic,and informational production to transform into a smart industry.

Development of a Novel Noise Reduction Algorithm for Smart Checkout RFID System in Retail Stores

This paper presents a smart checkout system designed to mitigate the issues of noise and errors present in the existing barcode and RFID-based systems used at retail stores’checkout counters.This is achieved by integrating a novel AI algorithm,called Improved Laser Simulator Logic(ILSL)into the RFID system.The enhanced RFID system was able to improve the accuracy of item identification,reduce noise interference,and streamline the overall checkout process.The potential of the systemfor noise detection and elimination was initially investigated through a simulation study usingMATLAB and ILSL algorithm.Subsequently,it was deployed in a small-scale environment to validate its real-world performance.Results show that RFID with the proposed new algorithm ILSL and AI basket is capable of accurately detecting the related itemswhile eliminating noise originating fromunrelated objects,achieving an accuracy rate of 88%.

Do smart city policies improve energy efficiency?Evidence from China

To address air pollution and offer a convenient and comfortable living environment,the Chinese government launched a smart city pilot(SCP)project in 2012,accompanied by a comprehensive set of environmental and energy-related laws and regulations.Although academic interest in smart cities has surged,there remains a notable gap in empirical research exploring the economic,environmental,and energy effects of such initiatives.Taking 232 prefecture-level cities from 2003 to 2017 as research subjects,this study measures energy effi‐ciency by using energy consumption per unit of GDP and adopts a difference-in-differences(DID)analysis to investigate the impact of SCPs on energy efficiency.The empirical results indicate that SCPs improved energy efficiency by promoting urban technological innovation capabilities and green total factor productivity,and this effect was more pronounced in cities that were more dependent on traditional fossil fuel energy sources and had more developed fiscal and financial levels.Studying the impact of smart city construction on energy utilization efficiency in developing countries,such as China,is not only significantly enlightening for China’s green and low-carbon transition but also provides reference opinions for constructing smart cities and the path to enhancing energy efficiency in other developing countries.The findings provide valuable insights into the global development of smart cities,urban sustainability,and high-quality economic growth.

Smart Bangladesh and Higher Education

Education for Sustainable Development(ESD)is the field of knowledge,skills,values to address interconnected global challenges including climate change,loss of biodiversity,unsustainable use of resources,and inequality.Higher education institutions have an essential role in sustainability.This is the key in the education of future leaders who will contribute to the implementation of Sustainable Development Goals(SDGs).The higher education institutions can find the solution about how education,research,and professional practice can strengthen each other to provide for high-level professionalism to build up the student’s skill for communication and collaboration,creativity and critical thinking,digital literacies,intercultural competence.Innovation helps to understand the forms of socioeconomics by developing technological products and processes.Innovation is the key enabler of most of the SDG goals.Information and Communication Technologies(ICTs)have the potential to increase innovation.ICT is capable of strengthening the means of implementation for the SDGs by fostering international cooperation.Information and Communication Technologies influence growth of economies and facilitate innovation,and have a direct impact on growth and competitiveness.According to the World Bank,the digital economy makes up more than 15%of the global GDP and has grown 2.5 times faster over the previous 10 years than the GDP of the physical world.Sustainable growth means maintaining the growth rate without causing other economic problems.“Digital Bangladesh:Vision 2021”was declared by the government of Bangladesh on December 12,2008.The government has implemented a large number of projects relating to digital technologies and a number of these are already underway to develop the country as middle-income status by 2021 and developed status by 2041.On Dec.12,2022 the honorable Prime Minister of Bangladesh announced“Smart Bangladesh”by 2041.Smart Bangladesh is to mean the power of technology and innovation to improve the quality of life,enhance economic growth,and protect the environment.Digital Bangladesh and Smart Bangladesh are two different concepts with different objectives and implications.After an evaluation of Digital Bangladesh,Smart Bangladesh is a step further by using emerging technologies to create a smarter and sustainable society.SMART stands for Specific,Measurable,Achievable,Realistic,and Timely.The goals of Smart Bangladesh must incorporate all of these criteria to achieve by 2041.Higher education institutions can set the clear goals as the basis of building a vision or mission statement,as well as short-term and long-term action plans to achieve Smart Bangladesh.This paper examines an observational methodology and evaluation to find a solution about how ICTs in higher education can be used to develop course material,delivering content and sharing content,communication between learners,teachers,and the outside world.This will build up the teachers and learners’ability to lead with purpose,communicate and prove value,analyze and use data,and maintain a big-picture mindset for a Smart Bangladesh and SDGs.

Developing Healthcare Infrastructure in Saudi Arabia Using Smart Technologies: Challenges and Opportunities

This study aims to explore the challenges and opportunities associated with developing healthcare infrastructure in Saudi Arabia through the implementation of smart technologies. The healthcare sector in Saudi Arabia is undergoing significant transformation, and the integration of smart technologies has the potential to revolutionize healthcare delivery, improve patient outcomes, and enhance the overall healthcare experience. However, several challenges need to be addressed in order to fully leverage the benefits of smart technologies in healthcare infrastructure development. This research identifies and analyzes these challenges while also highlighting the opportunities that arise from the adoption of smart technologies in the Saudi Arabian healthcare system. The findings contribute to the understanding of the current state of healthcare infrastructure in Saudi Arabia and provide insights into the strategies and policies required to overcome challenges and maximize the benefits of smart technologies in healthcare.

Application and Research of Big Data Technology in Intelligent Ward

With the rapid development of information science and technology and the progress of the health service industry,the integration of medical services and new technologies such as big data technology has become more in-depth,and the construction of smart hospitals and smart wards has received more and more attention and application.This article conducts in-depth research and analysis on the application and exploration of big data technology in smart wards and explores the role of big data technology in improving the quality,efficiency,and cost of medical services in smart wards,as well as the application prospects and challenges of big data technology in patient monitoring,disease prevention,and diagnosis and treatment processes in smart wards.The focus is on analyzing and studying the use of big data technology to assist in the construction of smart neonatal surgery wards.This article aims to provide useful references and lessons for the construction and development of smart wards.

Smart ERA技术评估子宫内膜容受性在不孕症中的应用价值

目的:探讨Smart ERA技术评估子宫内膜容受性在不孕症的应用效果。方法:选取赣州市妇幼保健院于2021年1月—2023年12月体外受精-胚胎移植(in vito fertilization-embryo transfer,IVFET)的76例不孕症患者的临床资料,根据妊娠结果分为妊娠组46例和未妊娠组30例。超声诊断仪系统内配备Smart ERA技术检测内膜厚度、内膜形态、内膜运动方向、内膜下血流分型、子宫螺旋动脉血流、子宫内膜容积、血管指数(vascularization index,VI)、血流指数(flow index,FI)、血管血流指数(vascularization flow index,VFI)、螺旋动脉阻力指数(resistance index,RI)、螺旋动脉搏动指数(pulsatility index,PI)、收缩期峰值血流速度/舒张末期血流速度(systole/diastole,S/D),采用ROC曲线预测不孕症患者妊娠结局。结果:妊娠组螺旋动脉RI、螺旋动脉PI、S/D均显著低于非妊娠组(P<0.05),而子宫内膜容积、VI、FI和VFI均显著高于非妊娠组患者(P<0.05),两组子宫内膜厚度、子宫内膜形态、内膜运动方向、内膜下血流分型比较差异均无统计学意义(P>0.05)。螺旋动脉RI、螺旋动脉PI、S/D、VI、FI、VFI及子宫内膜容积预测妊娠结局的AUC分别为0.818、0.789、0.897、0.904、0.896、0.983、0.780。结论:超声检测参数可以有效评估子宫内膜的容受性,并预测不孕症患者的妊娠结局。这些发现支持Smart ERA技术在评估和治疗不孕症中的应用价值。

SMART模式在临床分子生物学检验技术课程思政中的应用

探讨SMART模式在临床分子生物学检验技术课程思政中应用的效果。结果表明,SMART模式应用于临床分子生物学检验技术课程思政教学中,能有效实现专业教育和思政育人有机融合,为医学检验技术专业课程思政教学改革提供新的思路。

Smart technology applications for the optimal management of underground facilities

This study centers on the use of smart technology to improve the lifecycle management of underground facilities.It presents a comprehensive digital solution that addresses the challenges of underground facilities,particularly those related to the extensive use of underground space,as well as the requirements for safety,sustainability,and quality of services.The proposed solution emerged from discussions with experts,companies,and cities involved in the design,construction,and management of underground facilities.In this paper,we first discuss the major challenges of underground facilities,then,we present the development of a smart solution to address these challenges.This study demonstrates a promising perspective for the use of smart technology in the optimal management of underground facilities,and paves the way for its implementation.

Smart technology renders high-end manufacturing possible

1 Review of China＇s manufacturing industryBefore Liberation, even such small items as nails and matches in China were all manufactured by foreigners, as a result, they were called ＂foreign nails＂ and ＂foreign matches＂. China＇s mechanical manufacturing capabilities picked up after the foundation of new China with the aid of the former Soviet Union. From 1960s onwards, the industry was mainly dependent on self-reliance. In 1978 China＇s higher education was resumed and universities began to enroll students. As a result of economic reforms and opening up, China＇s manufacturing industry began to learn from foreign examples,

脑血管造影数字化三维重建联合Smart Mask技术在颅内动脉瘤栓塞诊疗中的应用

目的研究脑血管造影数字化三维重建(3D-DSA)联合Smart Mask技术应用于颅内动脉瘤栓塞微创诊疗的术前、术中评估及栓塞微创诊疗过程中的应用价值。方法采用前瞻性研究的方法,连续收集2019年1月至2020年6月右江民族医学院附属医院神经外科收治的59例颅内动脉瘤行血管栓塞微创诊疗的患者为对象,患者均采取常规治疗,行数字化三维重建+Smart Mask技术的31例患者为研究组,行数字化三维重建+常规路径图的28例患者为对照组。观察两组性别、年龄、瘤体大小、瘤体位置、破裂动脉瘤例数、PHASES评分、术前Hunt-Hess分级、术中对比剂用量、X线曝光量、手术时间、术中Raymond分级及术后康复情况等相关指标。结果使用Smart Mask技术的研究组和对照组在性别(P=0.763)、年龄(P=0.901)、瘤体大小(P=0.069)、瘤体位置(P=0.314)、破裂动脉瘤例数(P=0.964)、PHASES评分(P=0.314)、术前Hunt-Hess分级(P=0.945)、术中Raymond分级(P=0.600)、改良Rankin量表(mRS)评分(P=0.883)等方面差异无统计学意义(P>0.05)。而使用Smart Mask技术的研究组手术时间短于对照组,X线曝光量、对比剂用量少于对照组(P均<0.01)。结论在血管内治疗过程中运用Smart Mask技术可以有效缩短手术时间,减少X线辐射量和对比剂的用量,降低手术过程中的风险。Smart Mask技术与常规路径图在瘤体栓塞效果上无明显差异,但对于患者术后远期预后的影响仍需要进一步的临床观察与研究。

Smart City Architecture： A Technology Guide for Implementation and Design Challenges

Urban development is becoming increasingly reliant on effective use of intelligent services.In the process of providing better services to all citizens and improving the efficiency of administration processes,the concept of a smart city has been lauded as a promising solution for the coming challenge of global urbanization.However,due to the broad scope of smart cities their definition has not been standardized,thus proposed architectures are diverse.This work proposes a new architecture from the perspective of the data that underpins all the functionality of smart cities.The proposed architecture is discussed,outlining design challenges and offering insight into the development of smart cities.

Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare

Chronic diseases are a growing concern worldwide,with nearly 25% of adults suffering from one or more chronic health conditions,thus placing a heavy burden on individuals,families,and healthcare systems.With the advent of the“Smart Healthcare”era,a series of cutting-edge technologies has brought new experiences to the management of chronic diseases.Among them,smart wearable technology not only helps people pursue a healthier lifestyle but also provides a continuous flow of healthcare data for disease diagnosis and treatment by actively recording physiological parameters and tracking the metabolic state.However,how to organize and analyze the data to achieve the ultimate goal of improving chronic disease management,in terms of quality of life,patient outcomes,and privacy protection,is an urgent issue that needs to be addressed.Artificial intelligence(AI)can provide intelligent suggestions by analyzing a patient’s physiological data from wearable devices for the diagnosis and treatment of diseases.In addition,blockchain can improve healthcare services by authorizing decentralized data sharing,protecting the privacy of users,providing data empowerment,and ensuring the reliability of data management.Integrating AI,blockchain,and wearable technology could optimize the existing chronic disease management models,with a shift from a hospital-centered model to a patient-centered one.In this paper,we conceptually demonstrate a patient-centric technical framework based on AI,blockchain,and wearable technology and further explore the application of these integrated technologies in chronic disease management.Finally,the shortcomings of this new paradigm and future research directions are also discussed.

Fracture mechanics analysis on Smart-Cut~ technology.Part 1:Effects of stiffening wafer and defect interaction

In the present paper, continuum fracture mechanics is used to analyze the Smart-Cut process, a recently established ion cut technology which enables highly efficient fabrication of various silicon-on-insulator （SOI） wafers of high uniformity in thickness. Using integral transform and Cauchy singular integral equation methods, the mode-I and mode-II stress intensity factors, energy release rate, and crack opening displacements are derived in order to examine several important fracture mechanisms involved in the Smart-Cut process. The effects of defect interaction and stiffening wafer on defect growth are investigated. The numerical results indi- cate that a stiffener/handle wafer can effectively prevent the donor wafer from blistering and exfoliation, but it slows down the defect growth by decreasing the magnitudes of SIF＇s. Defect interaction also plays an important role in the splitting process of SOI wafers, but its contribution depends strongly on the size, interval and internal pressure of defects. Finally, an analytical formula is derived to estimate the implantation dose required for splitting a SOI wafer.

Fracture mechanics analysis on Smart-Cut~technology.Part 2:Effect of bonding flaws

In Part 2 of the paper on the Smart-Cut process, the effects of bonding flaws characterized by the size and internal pressure before and after splitting are studied by using fracture mechanics models. It is found that the bonding flaws with large size are prone to cause severe deviation of defect growth, leading to a non-transferred area of thin layer when splitting. In a practical Smart-Cut process where the internal pressure of bonding flaws is very small, large interfacial defects always promote defect growth in the splitting process. Meanwhile, increasing the internal pressure of the bonding flaws decreases the defect growth and its deviation before splitting. The mechanism of relaxation of stiffener constraint is proposed to clarify the effect of bonding flaws. Moreover, the progress of the splitting process is analyzed when bonding flaws are present. After splitting, those bonding flaws with large size and high internal pressure are vulnerable for the blistering of the thin film during high-temperature annealing.

Call for Papers Journal of Electronic Science and Technology Announcing a Special Issue on Smart Grid Technologies

Submission Deadline： 15 October 2010The electric industry is being transformed from a centralized network to one that is less centralized and allows more consumer interaction in the form of a smart grid. A smart grid is a power transmission and distribution network that can incorporate millions of sensors all connected through an advanced, two-way communications and data acquisition system to provide real-time monitoring, diagnosis and control. Smart grid enables more efficient, reliable and secure energy service, facilitate grid-integration of renewable systems and energy storage, and better routing of power and demand management. The move to a smarter grid promises to change the industry＇s entire business model and its relationship with all stakeholders, involving and affecting power companies, regulators, energy service providers, technology and automation vendors, and all consumers of electric power.