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关键词： Forensic sciences   disaster   DVI   tagging   tracking   evidence   chain of custody   RFID   human factors   workflow  

摘要： Disaster victim identification(DVI)entails a protracted process of evidence collection and data matching to reconcile physical remains with victim *** is critical to DVI by enabling the linkage of physical evidence to ***,labelling physical remains and collecting data at the scene are dominated by low-technology paper-based *** ask,how can technology help us tag and track the victims of disaster?Our response to this question has two ***,we conducted a human–computer interaction led investigation into the systematic factors impacting DVI tagging and tracking *** interviews with Australian DVI practitioners,we explored how technologies to improve linkage might fit with prevailing work practices and preferences;practical and social considerations;and existing systems and *** focused on tagging and tracking activities throughout the DVI *** insights from these interviews and relevant literature,we identified four critical themes:protocols and training;stress and stressors;the plurality of information capture and management systems;and practicalities and ***,these findings were iteratively discussed by the authors,who have combined expertise across electronics,data science,cybersecurity,human–computer interaction and forensic *** applied the themes identified in the first part of the investigation to critically review technologies that could support DVI practitioners by enhancing DVI processes that link physical evidence to *** resulted in an overview of candidate technologies matched with consideration of their key *** study recognises the importance of considering human factors that can affect technology adoption into existing ***,we provide a searchable table(as Supplementary information)that relates technologies to the key considerations and attributes relevant to DVI practice,for readers to apply to their own context.W

关键词： Internet of things   Automotive industry   RFID   Bluetooth   Autonomous vehicles  

摘要： - With yearly output exceeding 70 million units, the automotive industry is one of the world's largest manufacturing industries. According to worldwide estimates, the car industry's global revenue was an astounding 3 trillion dollars equating to a combined global GDP of 3.65 percent. The emergence of IoT in the automobile sector has created new opportunities for automakers and purchasers worldwide. With industrial and commercial applications, IoT in the automobile industry has developed into a significant hotspot for a variety of multipurpose applications. From linked automobiles to automated transportation systems, Internet of Things applications have had a significant impact on the worldwide automotive business. The Internet of Things, along with other disruptive technologies, is reshaping the automobile sector as a whole. The evolution of this sector has resulted in the birth of ground-breaking advancements in automobiles, namely linked and autonomous vehicles. Different types of internet of things technology have significant qualities that make them viable candidates as a technology for use in automotive industry. This paper focuses on internet of things latest findings done by previous researcher and describes the operation of the technology. Moreover, this paper also provides insights into some countermeasures against internet of things.

关键词： RFID sensing   activity and gesture recognition   microfluidic switch circuits   multi-chip RFID  

摘要： RFID has been widely used for activity and gesture recognition in emerging interaction paradigms given its low cost, lightweight, and pervasiveness. However, current learning-based approaches on RFID sensing require significant efforts in data collection, feature extraction, and model training. To save data processing effort, we present MicroFluID, a novel RFID artifact based on a multiple-chip structure and microfluidic switches, which informs the input state by directly reading variable ID information instead of retrieving primitive signals. Fabricated on flexible substrates, four types of microfluidic switch circuits are designed to respond to external physical events, including pressure, bend, temperature, and gravity. By default, chips are disconnected into the circuit owing to the reserved gaps in transmission line. While external input or status change occurs, conductive liquid floating in the microfluidics channels will fill the gap(s), creating a connection to certain chip(s). In prototyping the device, we conducted a series of simulations and experiments to explore the feasibility of the multi-chip tag design, key fabrication parameters, interaction performance, and users' perceptions.

关键词： Internet of Things   Radio frequency identification   Authentication   Stream ciphering   Bit Error Rate (BER)   Pseudo-random number generators  

摘要： In this paper, a new lightweight RFID-based authentication approach is proposed that uses stream ciphering techniques to preserve privacy between legitimate components. The proposed approach uses various key-stream generators such as And2LFSR, Geffe, and majority-based to eliminate the inherent linearity of LFSRs and construct a non-linear Pseudo-Random Number Generators (PRNG). The informal security analysis indicates that the proposed approach provides forward security and resists eavesdropping, tag tracking, replay, cloning, and DoS attacks. Moreover, simulations conducted through Cooja tool illustrate the effect of generator polynomial degree and proposed combinational generators on BER. The BER of communications has been evaluated in different quantities of(E-b/N-0), ranged between 1 and 10, using the proposed generators along with different error control techniques. In addition, evaluations indicate that the proposed approach outperforms in terms of computational cost, storage spaces, and communication cost. Furthermore, statistical analysis proves resistance of the proposed approach to guessing attacks.

关键词： RFID   Healthcare   Medical devices   Equipment   Management   Logistics  

摘要： Purpose (RFID) is a technology that uses radio waves for data collection and transfer, so data is captured efficiently, automatically and in real time without human intervention. This technology, alone or in addition to other technologies has been considered as a possible solution to reduce problems that endanger public health or to improve its management. This scoping review aims to provide readers with an up-to-date picture of the use of this technology in health care settings. Methods This scoping review examines the state of RFID technology in the healthcare area for the period 2017-2022, specifically addressing RFID versatility and investigating how this technology can contribute to radically change the management of public health. The guidelines of the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) have been followed. Literature reviews or surveys were excluded. Only articles describing technologies implemented on a real environment or on prototypes were included. Results The search returned 366 results. After screening, based on title and abstract, 58 articles were considered suitable for this work. 11 articles were reviewed because they met the qualifying requirements. The study of the selected articles highlighted six matters that can be profitably impacted by this technology Conclusion The selected papers show that this technology can improve patient safety by reducing medical errors, that can occur within operating rooms. It can also be the solution to overcome the problem of the black market in counterfeiting drugs, or as a prevention tool. Further research is needed, especially on data management, security, and privacy, given the sensitive nature of medical information.

关键词： associative learning   behaviour   cognition   individual difference   RFID feeder  

摘要： Understanding the ecology and evolution of personality and cognition requires the development of new tools to measure individual and species differences in behavioural and cognitive performances in wild populations. Furthermore, such tools should facilitate collection of large sample sizes, evaluate the repeatability of measured traits and allow direct comparison of species performances across a variety of behavioural tasks. Here we present a RFID-based feeder (OpenFeeder) designed to run visual cognitive tasks in wild animals. We illustrate the flexibility of the tool showing performances of three wild passerine species (Parus major, Cyanistes caeruleus and Poecile palustris) in an associative learning task. We recorded performances of a large number of individuals (>300) in the wild and showed both interspecific and intraspecific differences in associative learning. We also found moderate to high repeatability in individual differences in associative learning in each species. We show that the OpenFeeder is a flexible tool to record performance in multiple cognitive and behavioural tasks in free-ranging animals across a variety of passerine species. The design, firmware and software are open source to facilitate use in a wide variety of species and thus allow continuous improvement of the system and development of new behavioural and cognitive tasks. In doing so, we hope that this tool will be used by a large community of cognitive ecologists and comparative psychologists for both within and across species studies. Furthermore, our system should facilitate replication of results across populations along large-scale environmental gradients to improve our understanding of the role ecology plays in the evolution of cognitive traits.

关键词： Security protocol   Authentication protocol   PUF   Cryptanalysis   RFID   Impersonation attack   Supply chain  

摘要： Due to the stringent computational capabilities of low-cost RFID tags, several lightweight secure authentication protocols have been proposed for an RFID-based supply chain using bitwise operations. In this paper, we study the vulnerabilities associated with bitwise operations by doing cryptanalysis of a secure lightweight authentication protocol for RFID tags. The bitwise operations like rotation and XOR show that the protocol is vulnerable to tag, reader, and supply chain node impersonation attacks. We find that the major cause of the vulnerability is bitwise operations and suggest using the physically unclonable functions rather than bitwise operations to secure such lightweight protocols. We provide formal analysis using AVISPA tool and show that protocol is vulnerable to various attacks.

关键词： Mobile robot localization   Probabilistic approach   RFID   SLAM   Evolutionary approach  

摘要： Localization forms the heart of various autonomous mobile robots. For efficient navigation, these robots need to adopt effective localization strategy. This paper, presents a comprehensive review on localization system, problems, principle and approaches for mobile robots. First, we classify the localization problems in to three categories based on the information of initial position of the robot. Next, we discuss on robot position update principles. Then, we discuss key techniques to localize the mobile robot such as: proba-bilistic approach, autonomous map building and radio frequency identification (RFID) based scheme. In the probabilistic localization section, we discuss the Markov localization and Kalman filter along with its extended versions. Autonomous map building focuses on the widely used simultaneous localization and mapping (SLAM) approach. This section also discusses on applying SLAM to localize brain -controlled mobile robots. Next, we discuss on applying evolutionary approaches to estimate optimal position. The RFID scheme addresses on effective utilization of RFID tags to track objects and position the robot. We then analyze on position and orientation errors occurred by different localization strate-gies. We conclude this paper by highlighting future research possibilities. (c) 2021 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Scheduling  

摘要： Vehicular cloud (VC) platforms integrate heterogeneous and distributed resources of moving vehicles to offer timely and cost-effective computing services. However, the dynamic nature of VCs (i.e., limited contact duration among vehicles), caused by vehicles’ mobility, poses unique challenges to the execution of computation-intensive applications/tasks with directed acyclic graph (DAG) structure, where each task consists of multiple interdependent components (subtasks). In this paper, we study scheduling of DAG tasks over dynamic VCs, where multiple subtasks of a DAG task are dispersed across vehicles and then processed by cooperatively utilizing vehicles’ resources. We formulate DAG task scheduling as a 0-1 integer programming, aiming to minimize the overall task completion time, while ensuring a high execution success rate, which turns out to be NP-hard. To tackle the problem, we develop a ranking and foresight-integrated dynamic scheduling scheme (RFID). RFID consists of (i) a dynamic downward ranking mechanism that sorts the scheduling priority of different subtasks, while explicitly taking into account for the sequential execution nature of DAG;(ii) a resource scarcity-based priority changing mechanism that overcomes possible performance degradations caused by the volatility of VC resources;and (iii) a degree-based weighted earliest finish time mechanism that assigns the subtask with the highest scheduling priority to the vehicle which offers rapid task execution along with reliable transmission links. Our simulation results reveal the effectiveness of our proposed scheme in comparison to benchmark methods. Copyright © 2022, The Authors. All rights reserved.

关键词： volatile amines   biogenic amines   chemiresistive sensors   optical sensors   RFID   wireless sensors   electronic nose   optoelectronic nose   food evaluation  

摘要： The increasing demand for food production has necessitated the development of sensitive and reliable methods of analysis, which allow for the optimization of storage and distribution while ensuring food safety. Methods to quantify and monitor volatile and biogenic amines are key to minimizing the waste of high-protein foods and to enable the safe consumption of fresh products. Novel materials and device designs have allowed the development of portable and reliable sensors that make use of different transduction methods for amine detection and food quality monitoring. Herein, we review the past decade's advances in volatile amine sensors for food quality monitoring. First, the role of volatile and biogenic amines as a food-quality index is presented. Moreover, a comprehensive overview of the distinct amine gas sensors is provided according to the transduction method, operation strategies, and distinct materials (e.g., metal oxide semiconductors, conjugated polymers, carbon nanotubes, graphene and its derivatives, transition metal dichalcogenides, metal organic frameworks, MXenes, quantum dots, and dyes, among others) employed in each case. These include chemoresistive, fluorometric, colorimetric, and microgravimetric sensors. Emphasis is also given to sensor arrays that record the food quality fingerprints and wireless devices that operate as radiofrequency identification (RFID) tags. Finally, challenges and future opportunities on the development of new amine sensors are presented aiming to encourage further research and technological development of reliable, integrated, and remotely accessible devices for food-quality monitoring.