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关键词： Protocols   Blockchains   Security   Authentication   Supply chains   RFID tags   Impersonation attacks   Resists   Cloning   Privacy   authentication protocol   mutual authentication   supply chain management system  

摘要： In the dynamic domain of supply chain management, integrating Radio-Frequency Identification (RFID) technology with blockchain technology represents a significant leap forward. This integration has created a blockchain-assisted RFID-enabled Supply Chain Management System (SCMS). With its ability to utilize electromagnetic fields to identify and track tags attached to objects, RFID technology has revolutionized product management and tracking within supply chains. SCMS transmits tracking and product management information through public communication channels. However, SCMS's communication on these channels is vulnerable to various security attacks and privacy challenges. Numerous authentication protocols have recently been proposed to tackle these security and privacy challenges. Unfortunately, most protocols are susceptible to different security attacks, such as tag or reader impersonation, denial of service, physical cloning, desynchronization attacks, etc. Therefore, we have proposed an authentication protocol for an RFID-enabled SCMS that also leverages blockchain technology. The integration of blockchain technology ensures data integrity, immutability and transparency across each department involved in SCMS. In the proposed protocol, we also employ a Physically Unclonable Function (PUF) to secure SCMS against physical cloning attacks. We validate the security of the proposed protocol through both informal and formal analysis. The informal analysis confirms that our protocol significantly enhances security and efficiency. Moreover, a performance analysis of the proposed protocol against various competing existing protocols shows its superior performance. Notably, the proposed protocol substantially reduces computational and communication costs by 24.38% and 8.03%, respectively, which underscores its enhanced performance and resource efficiency.

关键词： access control   canteen management   data analytics   identity verification   resource management   RFID technology  

摘要： This paper presents a novel RFID-based smart card system aimed at optimizing operational efficiency across various applications, including canteen management, identity verification, access control, and resource management. The proposed design uses RFID-enabled smart cards, in combination with a Raspberry Pi Pico microcontroller, LCD display, keypad, and GSM communication module, to create a robust, automated solution for seamless user identification, cashless transactions, and real-time data management. by integrating RFID technology, this system facilitates faster, error-free transactions and provides real-time updates on inventory and attendance, enhancing transparency and decision-making. Here, it has presented the user input containing a specific amount, which serves as the initial part of the system. As the user proceeds through the system management using a unique RFID number and password, the amount is deducted accordingly. This process ensures secure identity verification and controlled access. The study reveals an inverse correlation between manual accuracy and system efficiency, with accuracy efficiency improving from 0.05 to 0.45 as manual dependency decreases from 85% to 50%. Security efficiency also increases from 0.05 to 0.55 as the manual security index drops from 75 to 40. While RFID enhances accuracy and security, higher costs reduce total efficiency. Prolonged RFID processing lowers time efficiency from 0.9 at 10 s to 0.05 at 80 s. Resource efficiency declines from 0.55 at a usage level of 500 to 0.05 at 850. These findings emphasize the need for cost-effective RFID deployment to balance efficiency, security, and resource utilization. Additionally, data analytics from the system offer valuable insights into usage patterns, enabling informed resource allocation and improved operational strategies. While the system holds significant potential for improving efficiency and user experience, considerations such as setup costs and data security are crucia

关键词： 石油化工   危险废物   贮存风险   智能管控平台   RFID  

摘要： 近些年来,我国工业生产体系愈发完善,广大化工企业发展规模不断壮大,产品生产制造能力和水平也在不断提高,为我国社会经济建设作出了巨大的支持和贡献。结合以往化工企业危险废物安全事故发生案例能够发现,造成事故的主要因素为企业重视度不足、危险废物管理制度不够规范等等。为此,广大化工企业可通过构建风险量化评估机制、打造危险废物安全存储制度、运用电子标签并搭建危险废物的智能化管理平台等方法进行优化。

关键词： RFID 计量技术   实木家具   智能制造   生产管控   数据追踪  

摘要： 针对实木家具生产过程中数据采集滞后、工件流转管理低效及生产调度优化不足的问题,本研究基于RFID技术构建了一种智能化生产实时管控系统。系统采用嵌入式RFID标签技术,实现工件的精准追踪与数据采集,并结合悬挂轨道配送系统优化工件流转,提高生产自动化程度。通过实验验证,该系统在生产效率、设备利用率、质量控制等方面均优于传统管理模式,单位时间订单完成率提高50%,设备稼动率提升30%,订单错误率降低62%,物料损耗率减少50%。研究表明,该系统能够有效提升实木家具生产管理水平,实现数据可视化与生产流程优化,为智能制造在家具行业的应用提供了技术支撑。未来研究将进一步优化RFID计量技术的稳定性,并结合AI与大数据分析技术,提升生产异常检测能力和工序优化精度,推动家具制造行业的智能化发展。

关键词： Sustainable   Weaving   Spinning   Dyeing   Blockchain   Automation   RFID   Digitization  

摘要： Purpose The purpose of this review paper is to thoroughly assess and analyze the progression of technology and research in textile material and machine manufacturing over the past ten years. The primary focus is on understanding how advancements in technology, including mechatronics, smart technology, digitization, and artificial intelligence, contribute to enhancing stakeholders' experiences. Design/methodology/approach This review paper is designed to comprehensively explore the technological advancements within the textile industry. The information is gathered from diverse sources such as academic research, industrial research, machine manufacturers, and textile manufacturers. The methodology involves an in-depth examination of both the transformative impact of digitization and the integration of commercially viable technologies, emphasizing their adoption and adaptation to enhance manufacturing processes and competitiveness. Findings Significant progress has been achieved through technical advancements, research, digitization, and the integration of artificial intelligence (AI) in the fields of fiber manufacturing, spinning, weaving, knitting, textile machinery, dyeing, and monitoring in the past decade. Advanced technologies such as blockchain, soft computing, and AI technologies have brought a new era of textile manufacturing through enhanced efficiency, optimized processes, improved product quality, and reduced resource consumption throughout the textile production life-cycle. The labor-intensive industry is shifting towards the digital automatic industry which is providing a lot of opportunities and challenges. Originality/value The review explores recent textile technological advancements, emphasizing digitization and AI's transformative role in processes and product quality enhancement. It uniquely integrates academic and industrial research, highlighting the industry's shift towards digital automation and its impact on efficiency and sustainability.

关键词： radio frequency identification (RFID)   Cole-Cole model   adaptive extended Kalman filter (AEKF)   concentration monitoring  

摘要： Salt concentration monitoring is crucial for industrial process control and wastewater management, yet existing methods often lack real-time capability or require invasive sampling. This paper presents a novel RFID wireless sensing system for noninvasive solution concentration monitoring, combining physical modeling with advanced estimation algorithms. By combining the Cole-Cole model and the slit cylindrical capacitor (SCC) model, the system establishes physics-based state-space models to characterize concentration-dependent RFID signal variations. The concentration dynamics are modeled as a hidden Markov process and tracked using an adaptive extended Kalman filter (AEKF). The AEKF algorithm avoids computationally expensive inversion of complex observation equations while automatically adjusting noise covariance matrices via innovation sequence. Experimental results demonstrate a mean relative error (MRE) of 2.8% for CaCl2 solution across 2-10 g/L concentrations. Within the experimentally validated optimal range (2-8 g/L CaCl2), the system maintains MRE below 3% under artificially introduced measurement noise, confirming its strong robustness. Compared with baseline approaches, the proposed AEKF algorithm shows improved performance in both accuracy and computational efficiency.

关键词： RFID   respiratory monitoring   motion disturbances   respiratory rate estimation  

摘要： Traditional respiratory monitoring methods typically use wearable sensors. In recent years, Radio Frequency Identification (RFID) tags have emerged as potential respiratory monitoring devices. However, existing research only detects respiration under static or simple body movements such as forward and backward motions, which limits the availability of RFID. In this article, an RFID-based respiratory monitoring system under body motion disturbances is proposed. In order to eliminate the effect of body movement on the signal, reference tags are placed on the user's shoulders. The phase between different tags is calibrated and aligned to remove the discreteness. Then, a sliding window peak-seeking algorithm is designed to calculate respiratory rate over time. The system measures respiratory rate during daily exercise and maintains an accuracy of no less than 86.12%, even when influenced by lying down and turning. Additionally, the system can analyze estimated respiratory rates and intervals to provide alert information.

关键词： Inventory   SMEs   carbon emission   preservation technology   RFID   AI and ML  

摘要： Effective inventory management is crucial for small and medium-sized enterprises (SMEs) to enhance efficiency, reduce costs, and adopt sustainable practices. This study introduces an inventory model that integrates demand dynamics, preservation technology, and sustainability measures, addressing price, time, and advertisement frequency to optimize strategies. Carbon emission regulations are incorporated to promote eco-friendly operations. AI-driven demand forecasting enables precise predictions by analyzing historical sales data, seasonal trends, and external market factors, while ML-based optimization dynamically adjusts inventory policies to minimize costs and improve supply chain performance. Automated inventory tracking using barcode and RFID technologies ensures real-time visibility and accuracy, reducing errors and streamlining warehouse operations. RFID, in particular, provides non-line-of-sight tracking, enhancing inventory monitoring capabilities. These technologies not only improve operational efficiency but also generate actionable insights for strategic decision-making. The theoretical properties of the model are validated through numerical examples and sensitivity analyses. The findings underscore the importance of integrating modern technologies and sustainability measures in inventory management, demonstrating that SMEs can reduce operational costs, enhance efficiency, and build resilient, eco-friendly supply chains. This research showcases how leveraging advanced inventory models enables SMEs to remain competitive, financially viable, and environmentally responsible.

关键词： Metallic formworks   Tracking   BIM   IoT   RFID   Management  

摘要： PurposeTracking physical resources at the construction site can generate information to support effective decision-making and building production control. However, the methods for conventional tracking usually offer low reliability. This study aims to propose the integrated Smart Twins 4.0 to track and manage metallic formworks used in cast-in-place concrete wall systems using internet of things (IoT) (operationalized by radio frequency identification [RFID]) and building information modeling (BIM), focusing on increasing quality and ***/methodology/approachDesign science research is the research approach, including an exploratory study to map the constructive system, the integrated system development, an on-site pilot implementation in a residential project and a performance evaluation based on acquired data and the perception of the project's production *** all rounds of requests, Smart Twins 4.0 registered and presented the status from the formworks and the work progress of buildings in complete correspondence with the physical progress providing information to support decision-making during operation. Moreover, analyses of the system infrastructure and implementation details can drive researchers regarding future IoT and BIM implementation in real construction ***/valueThe primary contribution is the system proposal, centralized into a mobile app that contains a Web-based virtual model to receive data in real time during construction phases and solve a real problem. The paper describes Smart Twins 4.0 development and its requirements for tracking physical resources considering theoretical and practical previous research regarding RFID, IoT and BIM.