H. Elkhoukhi, M. Bakhouya, A. Elmouatamid, D. El Ouadghiri, J. Gaber
{"title":"A review of occupancy sensing technologies and approaches in smart buildings","authors":"H. Elkhoukhi, M. Bakhouya, A. Elmouatamid, D. El Ouadghiri, J. Gaber","doi":"10.3233/rft-240006","DOIUrl":"https://doi.org/10.3233/rft-240006","url":null,"abstract":"Comprehensive occupancy information in smart buildings has become more imperative in order to develop new control strategies in energy management systems. Several techniques can be used to collect occupancy information considering accurate sensing techniques, such as passive infrared (PIR), carbon dioxide (CO2) and different types of cameras (i.e., thermal, or optical cameras). Recent studies show the usefulness of integrating occupancy information into energy management systems to reduce energy consumption while maintaining the occupants’ comfort. The purpose of this work is to elaborate a comprehensive review on occupancy detection systems in smart buildings. This study presents a set of comparison standards including methods, occupancy resolution, type of buildings and sensors. A classification of different approaches, which can be implemented and integrated into the building management system for detecting indoor occupancy, is introduced. Summary and discussions are given by highlighting the usefulness of machine learning for enabling predictive control of active systems in smart buildings.","PeriodicalId":507653,"journal":{"name":"International Journal of RF Technologies","volume":" 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141671910","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}
Jing Guo, Yalan Wang, Ying Guo, Shuaijun Dai, Ruyu Yan, Zaijie Shi
{"title":"Exploring logistics transport route optimization: An algorithmic study based on RFID technology","authors":"Jing Guo, Yalan Wang, Ying Guo, Shuaijun Dai, Ruyu Yan, Zaijie Shi","doi":"10.3233/rft-230059","DOIUrl":"https://doi.org/10.3233/rft-230059","url":null,"abstract":"With the rapid growth of e-commerce, logistics companies face challenges in efficient routing and scheduling to meet dynamic delivery demands. This paper proposes a novel logistics scheduling model to optimize vehicle routing using Radio Frequency Identification (RFID) technology. A vehicle scheduling model is developed. The random customer demand and service time are solved using an adaptive taboo search algorithm combined with a nearest neighbor algorithm. Comparative experiments demonstrate the performance of the improved method in completing tasks and reducing queueing time compared to other methods. A case study of route optimization for a logistics company shows the model can recommend optimized routes that reduce total transportation cost by over 25% compared to using RFID alone. The results highlight the potential of the proposed technique to enhance logistics efficiency. Limitations and future work are discussed.","PeriodicalId":507653,"journal":{"name":"International Journal of RF Technologies","volume":"24 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140242670","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":"Applying RFID and NLP for efficient warehouse picking","authors":"Man Xu, Yunze Wang, Dan Xing","doi":"10.3233/rft-230055","DOIUrl":"https://doi.org/10.3233/rft-230055","url":null,"abstract":" This paper proposes an intelligent warehouse-picking approach using radio frequency identification (RFID) indoor positioning and natural language processing (NLP) speech recognition. A forward maximum matching algorithm segments speech into domain terminology. Location was estimated by RFID signal strengths between reference tags and pickers. Simulation results demonstrated a 50% reduction in segmentation runtime versus conventional methods. Speech recognition accuracy reached 90–95%, improving by 23% over baseline. Positioning accuracy also increased substantially. The techniques can reduce picking errors and costs. Further work should evaluate performance in real-world environments.","PeriodicalId":507653,"journal":{"name":"International Journal of RF Technologies","volume":"30 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140265263","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":"Exploring transformer fault detection using RFID technology","authors":"Xiaomeng Li","doi":"10.3233/rft-230056","DOIUrl":"https://doi.org/10.3233/rft-230056","url":null,"abstract":"Real-time monitoring and fault diagnosis of transformers are essential for the stable power system operation. This paper presents an RFID-based transformer fault feature extraction and classification algorithm. Experiments show that monitored current signals are stable while the temperature peak is 356°C. Hilbert decomposition reveals regular current and voltage patterns that can be used as fault indicators. Signal strength classification accuracy reached 80% . At rated load, the transformer temperature soared to 186°C, indicating overheating issues. The monitoring during a sample day showed that overload events were concentrated from 16:00-20:00, which required attention. The approach helps accurately identify transformer fault types from real-time RFID data for proactive maintenance. Compared to reactive repairs after failures, this not only improves employee productivity but also reduces costs. Based on customized RFID deployment, the algorithm contributes to the stability and economy of power infrastructure.","PeriodicalId":507653,"journal":{"name":"International Journal of RF Technologies","volume":"32 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140412319","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":"An adaptive RFID anti-collision algorithm for network intrusion detection","authors":"Zhimei Ling, Chaoying Wei","doi":"10.3233/rft-230057","DOIUrl":"https://doi.org/10.3233/rft-230057","url":null,"abstract":" Radio frequency identification (RFID) provides real-time network monitoring capabilities for threat identification. However, accurate detection is impeded by tag interference. This paper presents an adaptive collision tree algorithm that selects optimal binary or octal splits based on collision counts to handle interference. Experiments demonstrate an integrated RFID intrusion detection framework that achieves 8.98% higher throughput and 99.82% detection accuracy compared to other protocols. The method enables efficient real-time threat identification as networks proliferate. However, there are limitations to the approach, such as assumptions of fixed tag populations rather than dynamic tags and a lack of field testing. To strengthen the approach, further research on fluctuating tags and validation in real-world network deployments is necessary. This work presents an adaptive method for leveraging RFID to achieve scalable and accurate network intrusion detection.","PeriodicalId":507653,"journal":{"name":"International Journal of RF Technologies","volume":"22 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140409332","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}
B. Aliakbarian, Stefano Ghirlandi, Antonio Rizzi, R. Stefanini, Giuseppe Vignali
{"title":"EROI development and validation of a framework to assess the return on the environment of RFID deployment","authors":"B. Aliakbarian, Stefano Ghirlandi, Antonio Rizzi, R. Stefanini, Giuseppe Vignali","doi":"10.3233/rft-230067","DOIUrl":"https://doi.org/10.3233/rft-230067","url":null,"abstract":"This study is grounded in the growing significance of environmental sustainability and the widespread adoption of RFID technology across various industries and is aimed to explore the influence of RFID implementation in supply chains by developing a tool that calculates the net balance of CO2 annual emissions. The tool, known as “Return on the Environment” (EROI), is based on a widely accepted environmental assessment method and it calculates the Global Warming Potential (GWP100) incurred and avoided at various stages in the supply chain strictly related to RFID technology introduction. To validate the tool, two RFID deployments have been assessed: one involving a pharmaceutical product tagged on its secondary packaging to monitor the flow of products through the distribution channel, and another a medical device tagged on both primary and secondary packaging to oversee product flow from the supplier distribution center to the hospital operating theatres. In both cases, the results indicate that implementing RFID technology reduced GWP100 compared to the scenarios without RFID. This was primarily due to decreased product shrinkage, lower missing or expired products, and reduced additional transportation due to shipping errors. The tool is versatile and it could be applied to any type of product, serving as a source of inspiration for those who want to assess the sustainability of RFID technology not only from an economic perspective, i.e. ROI calculation, but also from an environmental view. Future work will address the third level of sustainability, RFID social sustainability, that is the impact RFID deployments may have on empowering people, improving staff and employees working conditions, and creating possibilities for high-value job opportunities.","PeriodicalId":507653,"journal":{"name":"International Journal of RF Technologies","volume":"79 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140426861","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}
Eleonora Bottani, Samanta Correale, Antonio Rizzi, Roberta Stefanini, Linda Vezzani
{"title":"How RFID technology enables the supply chain and retail 4.0: A survey with Italian stakeholders","authors":"Eleonora Bottani, Samanta Correale, Antonio Rizzi, Roberta Stefanini, Linda Vezzani","doi":"10.3233/rft-230062","DOIUrl":"https://doi.org/10.3233/rft-230062","url":null,"abstract":"The research aims at assessing the level of interest towards and adoption of Radio Frequency IDentification (RFID) technology among a sample of manufacturers, retailers, logistic service providers, solution providers and vertically integrated fashion retailers belonging to the Fashion, Consumer Goods and Healthcare sectors in Italy. A survey was created in collaboration with GS1 Italy, a no-profit organization that develops standards for enhancing collaboration between companies, associations, institutions and consumers and enrols more than 40,000 companies. Overall, 58 useful responses were collected. Statistical analyses were carried out with the support of Statistical Package for the Social Sciences (SPSS) for Windows and MS Excel. Results show that RFID solutions are implemented by 31% of the interviewees and tested by 21% of them, mainly thanks to the favourable ROI and the possibility of gaining a competitive advantage over competitors through the automation of logistics processes, visibility of inventory and production progress, and avoided stock out. The RFID users often achieved results above expectations regarding the order picking errors reduction, the increase of operational efficiency and inventory accuracy. The few obstacles encountered are the read failures or the over-performing reading, but they are not perceived as relevant. Overall, most experimenters and non-users currently adopt barcode solutions, but showed their intention to implement RFID systems in the future, underlying a strong interest towards this identification technology.","PeriodicalId":507653,"journal":{"name":"International Journal of RF Technologies","volume":"51 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139150931","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}
Ethan Claucherty, Danielle Cummins, B. Aliakbarian
{"title":"Exploring the correlation between drug formulation and radio frequency performance in RFID-enabled pharmaceutical products","authors":"Ethan Claucherty, Danielle Cummins, B. Aliakbarian","doi":"10.3233/rft-230060","DOIUrl":"https://doi.org/10.3233/rft-230060","url":null,"abstract":"Radio Frequency Identification (RFID) is a burgeoning technology pivotal for optimizing intricate supply chains. Although its potential benefits in healthcare and pharmaceuticals are substantial, RFID implementation in these sectors has been slow-moving. Surprisingly, limited research has probed RFID performance on pharmaceutical products and their packaging. This study aims to explore the influence of diverse liquid drug formulations on RFID performance, utilizing a pre-optimized Ultra High Frequency (UHF) RFID tag. Five distinct drug formulations, encompassing water, saline, and lipids, were studied, alongside deionized (DI) water and empty vials as control subjects. The products were transferred to separate vials, each affixed with a pre-optimized UHF RFID tag. Performance evaluations, including Threshold Sweep, Orientation Sweep, and Population Analysis, were conducted to assess tag readability, focusing on sensitivity, backscatter, and theoretical read range. The results underscore how the composition of different pharmaceutical drug formulations significantly impact RFID tag readability in a controlled, reflection-free environment. These findings provide valuable insights for designing intelligent packaging to enhance the readability of RFID-tagged pharmaceutical products.","PeriodicalId":507653,"journal":{"name":"International Journal of RF Technologies","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139181680","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}
N. Eli-Chukwu, Daniel Nmadu, U. Uma, M. Eheduru, O. E. Ogah, Jerryson C. Emeh
{"title":"Evaluating compliance with COVID-19 social distancing protocol in a university in the south-east of Nigeria using radio frequency identification","authors":"N. Eli-Chukwu, Daniel Nmadu, U. Uma, M. Eheduru, O. E. Ogah, Jerryson C. Emeh","doi":"10.3233/rft-221503","DOIUrl":"https://doi.org/10.3233/rft-221503","url":null,"abstract":"The 2019 coronavirus pandemic is considered a global health emergency and the greatest challenge human kind has faced since World War II. The disease has claimed many lives globally and has caused major economic deterioration. The most challenging is the constant change of the virus through mutations leading to emergence of different variants. There are stipulated measures to mitigate the spread of this virus amongst which social distancing protocol seems to be the most effective. This study measures compliance with COVID-19 social distancing protocol using Radio Frequency Identification in a university in Southeastern Nigeria. The result reveals low indicators of compliance with the social distancing precautionary measures. The results from different faculties indicate that the students did not comply, with an average compliance of 24 percent. The study contributes to present and future pandemic management as the rate at which the virus spreads despite the precautionary measures were alarming. Hence the need to measure compliance in real time rather than adopting an abstract method in a critical situation of this nature.","PeriodicalId":507653,"journal":{"name":"International Journal of RF Technologies","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139238459","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}