Nowadays, a great number of healthcare data are generated every day from both medical institutions and individuals. Healthcare information exchange (HIE) has been proved to benefit the industry remarkably. To store share such large amount is important while challenging. In this paper, we propose BlocHIE, Blockchain-based platform for exchange. First, analyze different requirements sharing sources. Based on analysis, employ two loosely-coupled Blockchains handle kinds data. Second, combine...

Supply chain management (SCM) is fundamental for gaining financial, environmental and social benefits in the supply industry. However, traditional SCM mechanisms usually suffer from a wide scope of issues such as lack information sharing, long delays data retrieval, unreliability product tracing. Recent advances blockchain technology show great potential to tackle these due its salient features including immutability, transparency, decentralization. Although there are some proof-of-concept...

This paper discusses how the state-of-the-art techniques in cyber-physical systems facilitate building smart warehouses to achieve promising vision of industry 4.0. We focus on four significant issues when applying CPS warehouses. First, efficient data collection: limited communication bandwidth meets numerous devices, we need make more effort study wireless scheduling strategies. Second, accurate and robust localization: localization is basis for many fundamental operations warehouses, but...

This paper studies the problem of tag localization using RFID-augmented robots, which is practically important for promising warehousing applications, e.g., automatic item fetching and misplacement detection. Existing RFID systems suffer from one or more following limitations: requiring specialized devices; only 2D enabled; having blind zone mobile localization; low scalability. In this paper, we use Commercial Off-The-Shelf (COTS) robot devices to implement a Mobile RF-robot Localization...

Recent research has demonstrated searchable blockchains that not only provide reliable search over encrypted distributed storage systems but ensure privacy is preserved. Yet, current solutions focus on single-keyword data the blockchain. To extend such approaches to multi-keyword scenarios, they essentially perform a for multiple times and take intersection of results. However, extensions suffer from efficiency issues. In particular, service peers, which process requests, will be aware...

In recent years, blockchain has been broadly applied to industrial Internet of Things (IIoT) due its features decentralization, transparency, and immutability. existing permissioned based IIoT solutions, transactions submitted by devices are arbitrarily packed into blocks without considering their waiting times. Hence, there will be a high deviation the transaction response times, which is known as lack fairness. Unfair decreases quality experience from perspective devices. Moreover, some...

We present WFID, a passive device-free indoor human identification system with one pair of WiFi signal transmitter and receiver. WFID design is motivated by the observation that PHY layer Channel State Information (CSI) capable capturing frequency diversity wideband channel, such body curve may be uniquely identified learning feature pattern CSI. Different from many CSI-based techniques focusing on phase shift, we propose novel subcarrier-amplitude (SAF). Based this feature, realizes through...

This paper studies the important sensory data collection problem in sensor-augmented RFID systems, which is to quickly and accurately collect from a predefined set of target tags with coexistence unexpected tags. The existing schemes suffer either low time-efficiency due tag-collisions or serious corruption issue interference To overcome these limitations, we propose hierarchical-hashing (HDC) protocol, can not only significantly improve utilization wireless communication channel by...

Human respiration state is an important indicator to reflect health conditions. Recent advances in wireless human sensing have enabled device-free monitoring using narrow-band signals, which, however, fail map the estimated states multiple persons. In this paper, we present Multi-Breath, a UWB-based system achieve separate for The UWB radar can accurately measure travelling distance of which helps signals affected by different persons and detected patterns corresponding with location...

People counting provides valuable information on population mobility and human dynamics, which plays a critical role for intelligent crowd control retail management. Recently, people has been achieved via radio-frequency signals as presence can influence the propagation of wireless signals, from moving be extracted. However, most existing studies using only apply to scenario when keep all time. Besides, they require labour-intensive training phase building model. In Wi-Count system, we take...

Recently, non-intrusive respiration monitoring has attracted much attention. Many systems using the commercial off-the-shelf WiFi devices have been developed. However, these mainly difficulties in presence of multiple persons. The difficulty generally comes from separation effects persons' on received signals. Another problem is that even though can be feasible with some complicated algorithms, it still impossible to map identified states corresponding In this paper, we study multi-person...

Visitor counting can be attractive to various applications, like business management and marketing investigation. Recently, many studies have employed wireless signals achieve visitor without people's active participation privacy intrusion. However, existing systems mainly count the overall visitors inside a certain area, which fails provide fine-grained information of coming leaving flow. Unlike previous studies, this article proposes in-and-out monitor visiting frequency population,...

The locomotor-respiratory coupling (LRC) ratio of a person doing exercise is an important parameter to reflect the safety and effectiveness. Existing approaches that can measure LRC either rely on specialized costly devices or use heavy sensors, bringing much inconvenience people during exercise. To overcome these limitations, we propose ER-Rhythm using low-cost lightweight RFID tags attached human body simultaneously extract couple respiration rhythm for estimation. captures locomotion from...

Object identification is a pivotal enabling technique for smart home and manufacturing applications. Traditional methodologies object predominantly rely on singular sensor modality, which inherently limits their ability to furnish detailed characterization of the target object. Addressing this deficiency, in paper, we fill gap by introducing CRFUSION, first-of-its-kind system that integrates RGB image radio frequency (RF) signal reflected fine-grained identification. CRFUSION leverages...

The integration of gaze/eye tracking into virtual and augmented reality devices has unlocked new possibilities, offering a novel human-computer interaction (HCI) modality for on-device extended (XR). Emerging applications in XR, such as low-effort user authentication, mental health diagnosis, foveated rendering, demand real-time eye at high frequencies, capability that current solutions struggle to deliver. To address this challenge, we present EX-Gaze, an event-based system designed...

Liquid fraud has plagued people with huge health risks. detection can help to reduce the risk of liquid hazards. However, existing systems that use biochemical tools or radio frequency signals for sensing are either expensive, intrusive, inconvenient public use. In this article, we propose HearLiquid, a low-cost and nonintrusive system using commodity acoustic devices. Our insight comes from fact impedance different liquids results in distinct absorption signal across frequencies when it...

Early detection of fatigue driving is pivotal for the safety drivers and pedestrians. Traditional approaches mainly employ cameras wearable sensors to detect features, which are intrusive drivers. Recent advances in radio frequency (RF) sensing enable non-intrusive feature from signal reflected by driver's body. However, existing RF-based solutions only partial or coarse-grained reduces accuracy. To tackle above limitations, we propose a mmWave-based system, called mmDrive, can multiple...

Abstract Recurrent incidents of economically motivated adulteration have long-lasting and devastating effects on public health, economy, society. With the current food authentication methods being target-oriented, lack an effective methodology to detect unencountered adulterants can lead next melamine-like outbreak. In this study, ensemble machine-learning model that help unprecedented without looking for specific substances, is, in a non-targeted approach, is proposed. Using raw milk as...

This paper combines keystroke dynamics features with recently proposed acoustic for user identification and authentication. Traditional uses temporal features. explores the discriminative capability of fusion also influence filtering sound which turns out to be harmful performance We collected a total 824 samples from 7 subjects experiments. 46 including 38 are extracted authentication system. C-Support Vector Classification (C-SVC) one-class Support Machine (1-SVM) applied respectively....