A5100361458- Indoor and Outdoor Localization Technologies
- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Energy Harvesting in Wireless Networks
- RFID technology advancements
- Underwater Vehicles and Communication Systems
- Opportunistic and Delay-Tolerant Networks
- Cooperative Communication and Network Coding
- Wireless Networks and Protocols
- Human Mobility and Location-Based Analysis
- Mobile Crowdsensing and Crowdsourcing
- Context-Aware Activity Recognition Systems
- Electric Power System Optimization
- Optical Network Technologies
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Bluetooth and Wireless Communication Technologies
- Advanced Photonic Communication Systems
- IPv6, Mobility, Handover, Networks, Security
- Robotics and Sensor-Based Localization
- IoT Networks and Protocols
- Photonic and Optical Devices
- Advanced MIMO Systems Optimization
- Video Surveillance and Tracking Methods
- Speech and Audio Processing
Hong Kong University of Science and Technology
2006-2025
University of Hong Kong
2006-2025
Beijing Institute of Technology
2009-2025
Yunnan Agricultural University
2025
Huazhong University of Science and Technology
2015-2025
Jilin University
2011-2025
Jilin Agricultural University
2019-2025
Ministry of Ecology and Environment
2023-2025
Nanyang Technological University
2015-2024
University of Electronic Science and Technology of China
2021-2024
In many applications, we have to identify an object and then locate the within high precision (centimeter- or millimeter-level). Legacy systems that can provide such accuracy are either expensive suffering from performance degradation resulting various impacts, e.g., occlusion for computer vision based approaches.
Power delay profiles characterize multipath channel features, which are widely used in motion- or localization-based applications. Recent studies show that the power profile may be derived from CSI traces collected commodity WiFi devices, but performance is limited by two dominating factors. The resolution of determined bandwidth, however on WiFi. reflects signal distortions due to both attenuation and hardware imperfection. A direct derivation using raw measures, as has been done...
Environment monitoring in coal mines is an important application of wireless sensor networks (WSNs) that has commercial potential. We discuss the design a Structure-Aware Self-Adaptive WSN system, SASA. By regulating mesh network deployment and formulating collaborative mechanism based on regular beacon strategy, SASA able to rapidly detect structure variations caused by underground collapses. further develop sound robust for efficiently handling queries under instable circumstances. A...
The bus arrival time is primary information to most city transport travelers. Excessively long waiting at stops often discourages the travelers and makes them reluctant take buses. In this paper, we present a prediction system based on passengers' participatory sensing. With commodity mobile phones, surrounding environmental context effectively collected utilized estimate traveling routes predict various stops. proposed solely relies collaborative effort of participating users independent...
The wireless sensor network (WSN) technology spawns a surge of unforeseen applications. diversity these emerging applications represents the great success this technology. A fundamental performance benchmark such is topology control, which characterizes how well sensing field monitored and each pair sensors mutually connected in WSNs. This paper provides an overview control techniques. We classify existing techniques into two categories: coverage connectivity. For category, protocols are...
Long Range (LoRa) is a Low-power Wide-area Network technology designed for the Internet of Things. In recent years, it has gained significant momentum among industrial and research communities. Patented by Semtech, LoRa makes use chirp spread spectrum modulation to deliver data with promises long battery life, far-reaching communication distances, high node density at cost rate. this article, we conduct series experiments verify claims made Semtech on technology. Our results show that...
A wide area quantum key distribution (QKD) network deployed on communication infrastructures provided by China Mobile Ltd. is demonstrated. Three cities and two metropolitan QKD networks were linked up to form the Hefei-Chaohu-Wuhu with over 150 kilometers coverage area, in which Hefei was a typical full-mesh core offer all-to-all interconnections, Wuhu representative access point-to-multipoint configuration. The whole ran for more than 5000 hours, from 21 December 2011 19 July 2012, part of...
Power delay profiles characterize multipath channel features, which are widely used in motion- or localization-based applications. The performance of power profile obtained using commodity Wi-Fi devices is limited by two dominating factors. resolution the derived determined bandwidth, however on WiFi. collected CSI reflects signal distortions due to both attenuation and hardware imperfection. A direct derivation raw measures, as has been done literature, results significant inaccuracy. In...
Sensor networks are deemed suitable for large-scale deployments in the wild a variety of applications. In spite remarkable efforts community put to build sensor systems, an essential question still remains unclear at system level, motivating us explore answer from point real-world deployment view. Does wireless network really scale? We present findings operating system, GreenOrbs, with up 330 nodes deployed forest. instrument such throughout protocol stack and observations across layers...
Wi-Fi localization and tracking face accuracy limitations dictated by antenna count (for angle-of-arrival methods) frequency bandwidth time-of-arrival methods). This paper presents mD-Track, a device-free system capable of jointly fusing information from as many dimensions possible to overcome the resolution limit each individual dimension. Through novel path separation algorithm, mD-Track can resolve multipath at much finer-grained resolution, isolating signals reflected off targets...
The bus arrival time is primary information to most city transport travelers. Excessively long waiting at stops often discourages the travelers and makes them reluctant take buses. In this paper, we present a prediction system based on passengers' participatory sensing. With commodity mobile phones, surrounding environmental context effectively collected utilized estimate traveling routes predict various stops. proposed solely relies collaborative effort of participating users independent...
The phone attitude is an essential input to many smartphone applications, which has been known very difficult accurately estimate especially over long time. Based on in-depth understanding of the nature MEMS gyroscope and other IMU sensors commonly equipped smartphones, we propose A3 - accurate automatic detector for commodity smartphones. primarily leverages gyroscope, but intelligently incorporates accelerometer magnetometer select best sensing capabilities derive most estimation....
Phages and plasmids are the major components of mobile genetic elements, fragments from such elements generally co-exist with chromosome-derived in sequenced metagenomic data. However, there is a lack efficient methods that can simultaneously identify phages data, existing tools identifying either or have not yet presented satisfactory performance.
BackgroundRheumatoid arthritis is a chronic autoimmune disorder that affects life expectancy. Accelerated biological ageing thought to be major risk factor for age-related diseases, but its role in rheumatoid remains uncertain. We aimed assess the associations between and of genetic susceptibility disease. also effect on expectancy people with arthritis.MethodsWe calculated chronological age-adjusted age—by both Klemera-Doubal method (KDMAge) phenotypic age (PhenoAge)—as surrogate measure...
Recent developments in Large Language Models (LLMs) have demonstrated their remarkable capabilities across a range of tasks. Questions, however, persist about the nature LLMs and potential to integrate common-sense human knowledge when performing tasks involving information real physical world. This paper delves into these questions by exploring how can be extended interact with reason world through IoT sensors actuators, concept that we term "Penetrative AI". The explores such an extension...
Environment monitoring in coal mines is an important application of wireless sensor networks (WSNs) that has commercial potential. We discuss the design a Structure-Aware Self-Adaptive WSN system, SASA. By regulating mesh network deployment and formulating collaborative mechanism based on regular beacon strategy, SASA able to rapidly detect structure variations caused by underground collapses. A prototype deployed with 27 Mica2 motes. present our implementation experiences as well...
Sensor positioning is a crucial part of many location-dependent applications that utilize wireless sensor networks (WSNs). Current localization approaches can be divided into two groups: range-based and range-free. Due to the high costs critical assumptions, schemes are often impractical for WSNs. The existing range-free schemes, on other hand, suffer from poor accuracy low scalability. Without help large number uniformly deployed seed nodes, those fail in anisotropic WSNs with possible...
Network diagnosis, an essential research topic for traditional networking systems, has not received much attention wireless sensor networks (WSNs). Existing debugging tools like sympathy or EmStar rely heavily on add-in protocol that generates and reports a large amount of status information from individual nodes, introducing network overhead to the resource constrained usually traffic-sensitive network. We report our initial attempt at providing lightweight diagnosis mechanism networks....
The location and context switching, especially the indoor/outdoor provides essential primitive information for upper layer mobile applications. In this paper, we present IODetector: a lightweight sensing service which runs on phone detects environment in fast, accurate, efficient manner. Constrained by energy budget, IODetector leverages primarily resources including light sensors, magnetism celltower signals, etc. For universal applicability, assumes no prior knowledge (e.g., fingerprints)...
In spite of the remarkable efforts community put to build sensor systems, an essential question still remains unclear at system level, motivating us explore answer from a point real-world deployment view. Does wireless network really scale? We present findings large scale operating system, GreenOrbs, with up 330 nodes deployed in forest. instrument such throughout protocol stack and observations across layers network. Based on our measurement, we propose make initial validate three...
Sensor positioning is a crucial part of many location-dependent applications that utilize wireless sensor networks (WSNs). Current localization approaches can be divided into two groups: range-based and range-free. Due to the high costs critical as-sumptions, schemes are often impractical for WSNs. The existing range-free schemes, on other hand, suffer from poor accuracy low scalability. Without help large number uniformly deployed seed nodes, those fail in anisotropic WSNs with possible...
Many efforts have been made for addressing coverage problems in sensor networks. They fall into two categories, full and barrier coverage, featured as static coverage. In this work, we study a new scenario, sweep which differs with the previous only need to monitor certain points of interest (POIs) periodically so at each POI is time-variant, thus are able utilize small number mobile sensors achieve among much larger POIs. We investigate definitions model Given set POIs their period...
Traffic information is of great importance for urban cities, and accurate prediction traffics has been pursued many years. Urban traffic aims to exploit sophisticated models capture hidden characteristics from substantial historical mobility data then makes use trained predict conditions in the future. Due powerful capabilities representation learning feature extraction, emerging deep becomes a potent alternative such modeling. In this article, we envision potential broard usage predictions...
Air pollution causes serious problems in spring northern China; therefore, studying the ability of different plants to accumulate particulate matter (PM) at beginning growing season may benefit urban planners their attempts control air pollution. This study evaluated deposits PM on leaves and wax layer 35 species (11 shrubs, 24 trees) Beijing, China. Differences accumulation were observed between species. Cephalotaxus sinensis, Euonymus japonicus, Broussonetia papyriferar, Koelreuteria...