Graphene-Based RFID Tag Antenna for Vehicular Smart Border Passings

Globalization has opened practically every country in the globe to tourism and commerce today.In every region,the volume of vehicles traveling through border crossings has increased significantly.Smartcards and radio frequency identification(RFID)have been proposed as a new method of identifying and authenticating passengers,products,and vehicles.However,the usage of smartcards and RFID tag cards for vehicular border crossings continues to suffer security and flexibility challenges.Providing a vehicle’s driver a smartcard or RFID tag card may result in theft,loss,counterfeit,imitation,or vehicle transmutation.RFID sticker tags would replace RFID tags as vehicle border passes to solve the mentioned problem.The RFID sticker tag adheres to the windscreen,side screen,dash,hood,or door of the vehicle,or any other acceptable location.Any damage or stripping from the installed location may cause data corruption and cannot be reused.Overall,these sticker tags will make the border crossingsmore secure and efficient.This article focuses on designing a rectangular-shaped RFID sticker tag antenna made of graphene sheets as a possible solution for smart border crossings.The proposed antenna is mathematically designed and analyzed with CST software to determine the optimum parameters.The design parameters are then used to create an antenna on a prepared graphene sheet.The performance results are carried out with CST software and a network analyzer.The designed RFID antenna stick on a car windscreen offers approximately 900 MHz bandwidth over the frequency range from 1.8 GHz to 2.7 GHz with an average gain of 1.23 dBi at the frequency to be used of 2.4 GHz microwave RFID band.The radiation is an omnidirectional pattern.The proposed graphene-sheet rectangular-shape monopole antenna is compact,low-cost,and bendable to fit into the windscreen of a car while retaining excellent wave propagation capabilities.These findings illustrate the suggested antenna’s potential as an RFID tag antenna in a vehicular smart border pass system.

A New Bi-Frequency Soil Smart Sensing Moisture and Salinity for Connected Sustainable Agriculture

Optimizing water consumption is a major challenge for more sustainable agriculture with respect for the environment. By combining micro and nanotechnologies with the offered solutions of IoT connection (Sigfox and LoRa), new sensors allow the farmer to be connected to his agricultural production by mastering in real time the right contribution needed in water and fertilizer. The sensor designed in this research allows a double measurement of soil moisture and salinity. In order to minimize the destructuring of the ground to insert the sensor, we have designed a cylindrical sensor, easy to insert, with its electronics inside its body to propose a low power electronic architecture capable of measuring and communicating wireless with a LoRa or Sigfox network or even the farmer’s cell phone. This new smart sensor is then compared to the current leaders in agriculture to validate its performance. Finally, the sensor has better performance than commercials, a better response time, a better precision and it will be cheaper. For the salinity measure, it can detect the level of fertilizer in the soil according to the need of farmers.

The Marketing Factors Affecting Customer Decision-Making of Xiaomi Smart Wearable Devices in Guangxi,China

From an empirical point of view,this paper proposes research hypotheses and models based on the market situation of Xiaomi smart wearable devices in Guangxi,as well as the research status of consumers’purchasing decisions,combined with the empirical research of some researchers.This paper designs questionnaires and scales.The sampling survey method is used to investigate and analyze the influencing factors of Guangxi consumers’decision to purchase Xiaomi smart wearable devices.Questionnaires were distributed through Questionnaire Star,and 385 valid questionnaires were collected for descriptive statistics and correlation analysis.Conclusions are as follow:(1)Consumers in Guangxi who purchase Xiaomi smart wearable devices are between 19 and 32 years old,and most of them have a bachelor’s degree.Among the five factors of demographic characteristics,only income and marketing mix satisfaction have a positive correlation,indicating that customers are sensitive to Xiaomi smart wearable products.And among the customers of Xiaomi smart wearable products,the monthly income of less than 5,000 yuan accounted for 30.91%of the total number of surveys;the monthly income was 5,000-7,000 yuan,accounting for 34.29%.(2)The satisfaction of the marketing mix is positively correlated with the satisfaction of customer decision-making.The satisfaction of the marketing mix varies with the age,gender,education,income,and working years of each population,and only the income is positively correlated with the satisfaction of the marketing mix.Relationships,age,gender,education,and years of employment were not associated with marketing mix satisfaction.According to the above conclusions,relevant and reasonable product development and marketing suggestions are put forward for the enterprise,which provides a reference for the enterprise’s brand building and market development.Therefore,on the basis of comparing with other scholars at home and abroad,through the 7P marketing theory and purchasing decision theory and the research on the current situation of influencing factors for customers to purchase Xiaomi smart wearable devices in Guangxi,this paper compiled a questionnaire for 385 private colleges and universities in Guangxi.A questionnaire survey was carried out with customers,and the current situation of customers’purchasing decision-making behavior was obtained and analyzed and the following suggestions were put forward:continuously innovating products,targeting target customers,reasonably setting product prices,improving marketing mix.

Focusing on smart and individualized custom

Dankeyun expands its business to the full category for four seasons As a leader in China’s sweater customization industry,Dankeyun has been continuously making great efforts to break the traditional design style and sales limitation of the cashmere sweater for many years,

基于Smart Client的军队网上考评系统的改进

随着军队网上训练与考评系统在部队各单位的广泛使用,传统的C/S或B/S模型的军队网上训练与考评系统不能满足实际应用的需求,利用新技术对原系统进行改进成为亟需解决的问题。讨论了目前比较先进的Smart Client技术,并利用该技术对原有的军队网上训练与考评系统进行设计与改进,介绍了系统的结构、改进的关键部份的实现。该系统已经成功地应用于兰州军区各单位,并取得了很好的效果。

面向动态服务的Smart Client研究

SOA架构使得下一代软件系统具有分布式、面向服务和动态配置和部署的特点,这种软件架构引起了Internet从传统的eyeball web到transactional web的发展趋势。但是Web浏览器在功能上过于单一,缺乏离线操作和对相关应用程序的API支持,从而人们开始研究和开发比Web浏览器功能更为丰富的胖客户端。文中提出了一种客户端自主更新与适配远程服务接口的智能客户端(Smart Client)框架。该框架在本地维护了一个服务连接池,这使得客户端对常用服务的绑定和访问在一定程度上可以不通过UDDI或LDAP自行完成,这样降低了客户端访问UDDI或LDAP的开销,减轻了UD-DI或LDAP的负载,也提高了对常用服务的访问效率。

Design and Realization of an NFC-Driven Smart Home System to Support Intruder Detection and Social Network Integration

The Internet of thing（Io T） emerges as a possible solution to realize a smart life in the modern age. In this article, we design and realize a novel near field communication（NFC）-driven smart home system for Io T, which integrates the wireless sensor network（WSN）, social networks, and the cloud computing. NFC technology provides a way for users to exchange information between them and the system by simply contacting. So, we propose to use NFC as the system drive in the architecture, such that users can intuitively interact with the system and deliver their intentions. Then, the corresponding service over the system will control or adjust the “things” at home to fit users＇ needs. Furthermore, the proposed system provides a platform for developers to easily and rapidly implement their smart home related services. In the system, WSN sensing and control, NFC communications and identification, user profile management and preference analysis, and social network integration are all provided as platform services. We will show how the system works for home automation, intruder detection, and social network sharing.

Clustering-based Demand Response for Intelligent Energy Management in 6G-enabled Smart Grids

As a typical industrial Internet of things(IIOT)service,demand response(DR)is becoming a promising enabler for intelligent energy management in 6 G-enabled smart grid systems,to achieve quick response for supply-demand mismatches.How-ever,existing literatures try to adjust customers’load profiles optimally,instead of electricity overhead,energy consumption patterns of residential appliances,customer satisfaction levels,and energy consumption habits.In this paper,a novel DR method is investigated by mixing the aforementioned factors,where the residential customer cluster is proposed to enhance the performance.Clustering approaches are leveraged to study the electricity consumption habits of various customers by extracting their features and characteristics from historical data.Based on the extracted information,the residential appliances can be scheduled effectively and flexibly.Moreover,we propose and study an efficient optimization framework to obtain the optimal scheduling solution by using clustering and deep learning methods.Extensive simulation experiments are conducted with real-world traces.Numerical results show that the proposed DR method and optimization framework outperform other baseline schemes in terms of the system overhead and peak-to-average ratio(PAR).The impact of various factors on the system utility is further analyzed,which provides useful insights on improving the efficiency of the DR strategy.With the achievement of efficient and intelligent energy management,the proposed method also promotes the realization of China’s carbon peaking and carbon neutrality goals.

A Framework for Multi-Hop Ad-Hoc Networking over Wi-Fi Direct with Android Smart Devices

The wide diffusion of mobile devices that natively support ad hoc communication technologies has led to several protocols for enabling and optimizing Mobile Ad Hoc Networks (MANETs). Nevertheless, the actual utilization of MANETs in real life seems limited due to the lack of protocols for the automatic creation and evolution of ad hoc networks. Recently, a novel P2P protocol named Wi-Fi Direct has been proposed and standardized by the Wi-Fi Alliance to facilitate nearby devices’ interconnection. Wi-Fi Direct provides high-performance direct communication among devices, includes different energy management mechanisms, and is now available in most Android mobile devices. However, the current implementation of Wi-Fi Direct on Android has several limitations, making the Wi-Fi Direct network only be a one-hop ad-hoc network. This paper aims to develop a new framework for multi-hop ad hoc networking using Wi-Fi Direct in Android smart devices. The framework includes a connection establishment protocol and a group management protocol. Simulations validate the proposed framework on the OMNeT++ simulator. We analyzed the framework by varying transmission range, number of hops, and buffer size. The results indicate that the framework provides an eventual 100% packet delivery for different transmission ranges and hop count values. The buffer size has enough space for all packets. However, as buffer size decreases, the packet delivery decreases proportionally.

CFM与Smart Link技术耦合应用与实现

介绍了连接故障管理(Connectivity Fault Management,CFM)链路故障检测技术及Smart Link保护倒换技术的工作原理。CFM检测技术作为以太网操作维护管理(Operation Administration and Maintenance,OAM)技术之一,能快速检测网络故障,具有节省网络成本、提高网络可用性的优势。Smart Link作为链路保护倒换技术,在链路故障时能实现快速切换,保障链路上业务的正常转发。在华为交换机的基础上,介绍了CFM技术与Smart Link技术的耦合应用与实现,通过链路检测技术与保护倒换技术的耦合,能够保障网络稳定性,促进故障快速收敛。

FADSF:A Data Sharing Model for Intelligent Connected Vehicles Based on Blockchain Technology

With the development of technology,the connected vehicle has been upgraded from a traditional transport vehicle to an information terminal and energy storage terminal.The data of ICV(intelligent connected vehicles)is the key to organically maximizing their efficiency.However,in the context of increasingly strict global data security supervision and compliance,numerous problems,including complex types of connected vehicle data,poor data collaboration between the IT(information technology)domain and OT(operation technology)domain,different data format standards,lack of shared trust sources,difficulty in ensuring the quality of shared data,lack of data control rights,as well as difficulty in defining data ownership,make vehicle data sharing face a lot of problems,and data islands are widespread.This study proposes FADSF(Fuzzy Anonymous Data Share Frame),an automobile data sharing scheme based on blockchain.The data holder publishes the shared data information and forms the corresponding label storage on the blockchain.The data demander browses the data directory information to select and purchase data assets and verify them.The data demander selects and purchases data assets and verifies them by browsing the data directory information.Meanwhile,this paper designs a data structure Data Discrimination Bloom Filter(DDBF),making complaints about illegal data.When the number of data complaints reaches the threshold,the audit traceability contract is triggered to punish the illegal data publisher,aiming to improve the data quality and maintain a good data sharing ecology.In this paper,based on Ethereum,the above scheme is tested to demonstrate its feasibility,efficiency and security.

Grow-light smart monitoring system leveraging lightweight deep learning for plant disease classification

This work focuses on a novel lightweight machine learning approach to the task of plant disease classification,posing as a core component of a larger grow-light smart monitoring system.To the extent of our knowledge,this work is the first to implement lightweight convolutional neural network architectures leveraging down-scaled versions of inception blocks,residual connections,and dense residual connections applied without pre-training to the PlantVillage dataset.The novel contributions of this work include the proposal of a smart monitor-ing framework outline;responsible for detection and classification of ailments via the devised lightweight net-works as well as interfacing with LED grow-light fixtures to optimize environmental parameters and lighting control for the growth of plants in a greenhouse system.Lightweight adaptation of dense residual connections achieved the best balance of minimizing model parameters and maximizing performance metrics with accuracy,precision,recall,and F1-scores of 96.75%,97.62%,97.59%,and 97.58%respectively,while consisting of only 228,479 model parameters.These results are further compared against various full-scale state-of-the-art model architectures trained on the PlantVillage dataset,of which the proposed down-scaled lightweight models were capable of performing equally to,if not better than many large-scale counterparts with drastically less com-putational requirements.

Wireless Device Connection Problems and Design Solutions

Users, especially the non-expert users, commonly experience problems when connecting multiple devices with interoperability. While studies on multiple device connections are mostly concentrated on spontaneous device association techniques with a focus on security aspects, the research on user interaction for device connection is still limited. More research into understanding people is needed for designers to devise usable techniques. This research applies the Research-through-Design method and studies the non-expert users＇ interactions in establishing wireless connections between devices. The ＂Learning from Examples＂ concept is adopted to develop a study focus line by learning from the expert users＇ interaction with devices. This focus line is then used for guiding researchers to explore the non-expert users＇ difficulties at each stage of the focus line. Finally, the Research-through-Design approach is used to understand the users＇ difficulties, gain insights to design problems and suggest usable solutions. When connecting a device, the user is required to manage not only the device＇s functionality but also the interaction between devices. Based on learning from failures, an important insight is found that the existing design approach to improve single-device interaction issues, such as improvements to graphical user interfaces or computer guidance, cannot help users to handle problems between multiple devices. This study finally proposes a desirable user-device interaction in which images of two devices function together with a system image to provide the user with feedback on the status of the connection, which allows them to infer any required actions.

Design and Evaluation of a Connected Insole to Support Healthy Aging of Frail Patients at Home

The main objective of this work is to develop a technological solution to support active aging of frail older individuals. In this perspective, we designed a connected insole in order to encourage frail elderly persons to become more active in their daily life. The project presented in this paper, funded by the French National Research Agency, aims to design and evaluate an original solution to follow and encourage walking activity. The evaluation is performed in two stages: adjusting tests in a living-lab with nine healthy elderly, then clinical evaluation of three frail patients followed over one month. We designed a noninvasive wireless insole, which automatically measures gait parameters and transmits information to a remote terminal via a secure Internet connection. The first laboratory tests of this technological solution showed good reliability measurements as well as good user acceptability. The average distance error obtained on volunteers is 3.2% and the accuracy of the average walking speed is 96.8% thanks to design of a calibration system based on a personalized stride length measurement. Finally, the introduction of an induction charging instead of a button cell makes the system perfectly autonomous. In this paper, we present the specifications of the solution, the design of the connected insole, the methods used to measure desired parameters, the results of the living-lab tests, and the work in progress.

Analyzing the Impact of Bapco 5 MW Solar PV Grid-Connected Project on Bahrain’s Outlook for Energy-Mix Production

The impact of Bapco 5 MW solar PV grid-connected project on Bahrain’s outlook for clean energy and energy-mix production was analyzed since solar electricity obtained from PV installation is considered as a non-linear system. Several positive impacts were counted. These impacts were on business, economy, environment, research, green jobs creation and rooftop installation and other large-scale installation. This project had attracted public, investors, developers to invest in similar projects in the Kingdom of Bahrain;especially it is an environmentally friendly and smart technology. This innovative smart grid-connected 5 MW solar PV power plant is enough to electrify 500 houses @ 10 kW and had answered lots of frustrating questions such as the effect of dust on PV performance, need of man-made cleaning compared to naturally cleaned PV panels, reliability of the system, greenhouse gases reduction and pay-back period.

A Finnish Eco-City Designer’s Chinese Connection

A Finnish expert has been making an important contribution to China’s sustainable development and exchanges between the two countries over the past decade.PATRICK Eriksson is a Finnish expert in ecological building,smart cities,and small city development.He is currently a senior advisor to the Administrative Committee of the Xiongan New Area.In 2019,he received the prestigious Yanzhao Friendship Award from the People’s Government of Hebei Province.

基于智慧养老理念的适老化社区健身服务设计研究

适老化社区健身是智慧养老的必然要求和实施途径,服务设计视域下的适老化健身设计成果更适合在社区实践中推广应用。分析智慧养老的内涵及对适老化健身设计的要求,采用观察法、访谈法、用户旅程图等方法对老人的社区智慧健身需求进行研究,并从游戏化设计、交互性设计、引导式设计这3方面完成社区智慧健身的服务蓝图、服务流程、服务终端设计,为适老化社区智慧健身服务设计实践提供参考。

数字人民币推进跨境资本管理创新的作用机制

我国央行数字货币(CBDC)在提升货币政策与跨境资本管理效能方面蕴含可观的创新潜力。与其他国家CBDC相比,数字人民币(e-CNY)体现了我国金融科技发展的特色和优势,契合我国经济实际和金融高质量发展需求。未来数字人民币还可在提升货币政策传导效率、促进金融包容性、增强宏观经济政策跨领域协同性等方面发挥更积极的作用,助力实现高水平和高效能的跨境资本管理(CFMs)。在CBDC框架下实施资本流动管理的三个层级分别为用户界面层、央行架构层和跨境平台层。技术层面挑战与先发优势实现、相关法律与制度有待完善、国际货币体系环境限制、数据治理共识与国际标准缺失,是数字人民币进一步发展面临的主要挑战。未来需要持续优化数字人民币的技术链,完善相关法律与制度,积极参与多边协商和机制创新,加强与其他国家的数字货币合作,审慎评估和设计数字货币的治理机制,妥善弥合分歧,为全球CBDC的数据治理一致性贡献“中国方案”。

浅析数字时代AR智能红包创新设计

本文对我国红包发展现状与问题进行分析,提出将AR智能技术与现实红包设计结合,以新颖的方式向用户呈现带有现代科技感、吉祥寓意又不失仪式感的智能红包,以增强人与人之间的感情互动。准确把握传统实物红包向数字虚拟红包发展过程中社交、礼仪、情感、文化等特征,以期为未来红包设计发展提供新的思路和方向。

“双智”协同与智能网联汽车的发展现状与建议

文章阐述了“双智”协同的内在逻辑,从政策标准、城市基础设施和产业生态3个方面分析了“双智”协同的外在影响。文章梳理了国外智能网联汽车的发展情况,介绍了我国智能网联汽车在政策、产业化和行业方向的发展情况,着重提出了我国目前在商业模式、技术标准和数据安全方面的问题,从完善商业模式、健全政策标准、强化安全保障体系方面提出了发展建议,并展望了产业未来。