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Pervasive Indoor User Identification Leveraging Mobile Single Station Localization
Wendi Nie;Zexing Liu;Xiaoyang Wang;Yaoxin Duan;Kam-Yiu Lam;Kai Liu;Joseph K. Y. Ng;Chun Jason Xue;Guan Gui
IEEE Internet of Things Journal
Year: 2025 | Early Access Article |
The utilization of Wi-Fi-based technology for pervasive indoor user identification has gained prominence due to its cost-effective nature and compatibility with user devices. Previous works proposed capturing the media access control (MAC) address emitted from a user’s device and using Information Elements (IE)-based MAC de-randomization methods to mitigate the impairment caused by random MAC. How...Show More
MS-Loc: Toward Pervasive Indoor Localization Utilizing Mobile Single-Site
Wendi Nie;Xiaoyang Wang;Zexing Liu;Yaoxin Duan;Kam-Yiu Lam;Kai Liu;Joseph K. Y. Ng;Chun Jason Xue
IEEE Internet of Things Journal
Year: 2025 | Early Access Article |
Leveraging the widespread deployment of existing WiFi sites, WiFi-based techniques offer substantial potential for achieving pervasive indoor localization among various indoor localization techniques. Conventional WiFi-based indoor localization techniques primarily focus on providing fine-grained accuracy. However, previous techniques are not pervasive due to the following constraints: 1) they can...Show More
H3Rec: Higher-Order Heterogeneous and Homogeneous Interaction Modeling for Group Recommendations of Web Services
Recommendations are important web services in the era of information explosion. Particularly, group recommendations aim to suggest new items to groups such that the members of groups are likely interested in. However, existing works still suffer from sparsity and cold-start issues (e.g., cold-start groups or items) for groups with few interactions on items. Most of them model the preferences or fe...Show More
MVLevelDB: Using Log-Structured Tree to Support Temporal Queries in IoT
Xiaofei Zhao;Kam-Yiu Lam;Chunjiang Zhu;Chi-Yin Chow;Tei-Wei Kuo
IEEE Internet of Things Journal
Cited by: Papers (3)
Although log-structured merge trees (LSM-trees) are commonly adopted in many NoSQLs as they can significantly improve the write performance in updating a database, most of the proposed LSM-trees are concentrated on storing a single version of data. On the other hand, in many Internet of Things (IoT) applications, it is important to maintain the old versions of data in addition to the latest versio...Show More
Packet Delivery Ratio Fingerprinting: Toward Device-Invariant Passive Indoor Localization
Yaoxin Duan;Kam-Yiu Lam;Victor C. S. Lee;Wendi Nie;Hao Li;Joseph Kee-Yin Ng
IEEE Internet of Things Journal
Cited by: Papers (9)
Passive indoor localization for mobile Wi-Fi devices, e.g., smartphones, has attracted increasing attention from research communities recently. Existing passive localization techniques leverage received signal strength (RSS) of packets transmitted by target Wi-Fi devices and do not require a dedicated software installed on the devices. However, RSS-based passive localization techniques: 1) are dev...Show More
Data Rate Fingerprinting: A WLAN-Based Indoor Positioning Technique for Passive Localization
Yaoxin Duan;Kam-Yiu Lam;Victor C. S. Lee;Wendi Nie;Kai Liu;Hao Li;Chun Jason Xue
Received signal strength (RSS)/channel state information (CSI) fingerprinting techniques have been widely adopted for wireless local area network (WLAN)-based indoor localization. However, in most of the RSS/CSI fingerprinting techniques, an application/software has to be installed on the target for uploading RSS/CSI information to the localization system. As a result, RSS/CSI fingerprinting canno...Show More
RT-DAP: A Real-Time Data Analytics Platform for Large-Scale Industrial Process Monitoring and Control
Song Han;Tao Gong;Mark Nixon;Eric Rotvold;Kam-Yiu Lam;Krithi Ramamritham
2018 IEEE International Conference on Industrial Internet (ICII)
Year: 2018 | Conference Paper |
Cited by: Papers (6)
In most process control systems nowadays, process measurements are periodically collected and archived in historians. Analytics applications process the data, and provide results offline or in a time period that is considerably slow in comparison to the performance of many manufacturing processes. Along with the proliferation of Internet-of-Things (IoT) and the introduction of "pervasive sensors" ...Show More
Advances in Automation Technologies for Lower Extremity Neurorehabilitation: A Review and Future Challenges
Wenhao Deng;Ioannis Papavasileiou;Zhi Qiao;Wenlong Zhang;Kam-Yiu Lam;Song Han
The world is experiencing an unprecedented, enduring, and pervasive aging process. With more people who need walking assistance, the demand for lower extremity gait rehabilitation has increased rapidly over the years. The current clinical gait rehabilitative training requires heavy involvement of both medical doctors and physical therapists, and thus, are labor intensive, subjective, and expensive...Show More
Multiple Power Path Loss Fingerprinting for Sensor-Based Indoor Localization
Yaoxin Duan;Kam-Yiu Lam;Victor C. S. Lee;Wendi Nie;Hao Li;Joseph K. Y. Ng
Previous fingerprinting techniques proposed for sensor-based indoor localization assume that the fingerprint database is constructed by the measurement of received signal strength (RSS) at a fixed transmit power of the transmitter sensors. In order to improve the performance of the fingerprinting technique, we consider using the measurement of path loss rather than RSS to better distinguish the si...Show More
Tracking Indoor Activities of Patients with Mild Cognitive Impairment Using Motion Sensors
Nelson Wai-Hung Tsang;Umair Mujtaba Qureshi;Kam-Yiu Lam;Joseph Kee-Yin Ng;Song Han;Ioannis Papavasileiou
2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)
Year: 2017 | Conference Paper |
Cited by: Papers (13)
In order to maintain a healthy living both physiologically and psychologically, it is important for patients with mild cognitive impairment (MCI) to maintain active in daily life. In this paper, we demonstrate how to use simple motion sensors, e.g., accelerometers, gyroscopes and magnetometers, to design and develop a system, called ActiveLife, for effective tracking of the daily living activities...Show More
Online Mode Switch Algorithms for Maintaining Data Freshness in Dynamic Cyber-Physical Systems
Song Han;Kam-Yiu Lam;Deji Chen;Ming Xiong;Jiantao Wang;Krithi Ramamritham;Aloysius K. Mok
Maintaining the freshness of real-time data is one of the crucial design issues in cyber-physical systems (CPS). Past studies have focused on designing update algorithms to minimize the workload imposed by a fixed set of update tasks while ensuring the temporal validity of data. In this paper, we revisit this problem in dynamic cyber-physical systems (DCPS) which may exhibit multi-modal behavior. ...Show More
SmartMind: Activity Tracking and Monitoring for Patients with Alzheimer's Disease
Kam-Yiu Lam;Nelson Wai-Hung Tsang;Song Han;Joseph Kee-Yin Ng;Sze-Wei Tam;Ajit Nath
2015 IEEE 29th International Conference on Advanced Information Networking and Applications
Year: 2015 | Conference Paper |
Cited by: Papers (11)
In this paper, we introduce SmartMind, an activity tracking and monitoring system to help Alzheimer's diseases (AD) patients to live independently within their living rooms while providing emergent help and support when necessary. Allowing AD patients to handle their daily activities not only can release some of the burdens on their families and caregivers, but also is highly important to help the...Show More
SmartMood: Toward Pervasive Mood Tracking and Analysis for Manic Episode Detection
Kam-Yiu Lam;Jiantao Wang;Joseph Kee-Yin Ng;Song Han;Limei Zheng;Calvin Ho Chuen Kam;Chun Jiang Zhu
This paper describes SmartMood, a mood tracking and analysis system designed for patients with mania. By analyzing the voice data captured from a smartphone while the user is having a conversation, statistics are generated for each behavioral factor to quantitatively describe his/her mood status. By comparing the newly generated statistics with those under normal mood, SmartMood tries to identify ...Show More
Block-Based Multi-Version B$^+$ -Tree for Flash-Based Embedded Database Systems
Jiantao Wang;Kam-Yiu Lam;Yuan-Hao Chang;Jen-Wei Hsieh;Po-Chun Huang
IEEE Transactions on Computers
Cited by: Papers (12)
In this paper, we propose a novel multi-version B$^+$ -tree index structure, called block-based multi-version B$^+$ -tree ( BbMVBT), for indexing multi-versions of data items in an embedded multi-version database (EMVDB ) on flash memory. An EMVDB needs to support streams of update transactions and version-range queries to access different versions of data items maintained in the database. In BbMV...Show More
Space-efficient multiversion index scheme for PCM-based embedded database systems
2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)
Year: 2014 | Conference Paper |
Embedded database systems are widely adopted in various control and motoring systems, e.g., cyber-physical systems (CPSes). To support the functionality to access the historical data, a multiversion index is adopted to maintain multiple versions of data items and their index information. However, CPSes are usually battery-powered embedded systems that have limited energy, computing power, and stor...Show More
Capturing and Analyzing Pervasive Data for SmartHealth
Joseph Kee-Yin Ng;Jiantao Wang;Kam-Yiu Lam;Calvin Ho Chuen Kam;Song Han
2014 IEEE 28th International Conference on Advanced Information Networking and Applications
Year: 2014 | Conference Paper |
In this paper, we study how mobile computing and wireless technologies can be explored to provide effective ubiquitous healthcare services. Instead of reinventing the wheels, we make use of smartphones, off-the-shelf components, and existing technologies in ubiquitous computing (i.e. wireless and mobile positioning technologies, and data acquisition techniques and processing via sensors) to develo...Show More
Garbage collection for multi-version index on flash memory
Kam-Yiu Lam;Jiantao Wang;Yuan-Hao Chang;Jen-Wei Hsieh;Po-Chun Huang;Chung Keung Poon;Chun Jiang Zhu
2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Year: 2014 | Conference Paper |
In this paper, we study the important performance issues in using the purging-range query to reclaim old data versions to be free blocks in a flash-based multi-version database. To reduce the overheads for using the purging-range query in garbage collection, the physical block labeling (PBL) scheme is proposed to provide a better estimation on the purging version number to be used for purging old ...Show More
Schedulability Analysis of DeferrableScheduling Algorithms for MaintainingReal-Time Data Freshness
Song Han;Deji Chen;Ming Xiong;Kam-Yiu Lam;Aloysius K. Mok;Krithi Ramamritham
IEEE Transactions on Computers
Cited by: Papers (24)
Although the deferrable scheduling algorithm for fixed priority transactions ( DS-FP) has been shown to provide a better performance compared with the More-Less (ML) method, there is still a lack of any comprehensive studies on the necessary and sufficient conditions for the schedulability of DS-FP. In this paper, we first analyze the necessary and sufficient schedulability conditions for DS-FP, a...Show More
A Business Model for Personalized Promotion Systems on Using WLAN Localization and NFC Techniques
2013 27th International Conference on Advanced Information Networking and Applications Workshops
Year: 2013 | Conference Paper |
Although wireless local area networks (WLAN) have been shown to be an effective technique for localization of moving objects, their potential for business applications still have a lot of rooms for exploration. In this paper, we propose a novel business model for sales promotion in retail chain stores with the use of WLAN localization and near field communication (NFC) technologies. The objectives...Show More
On Co-Scheduling of Update and Control Transactions in Real-Time Sensing and Control Systems: Algorithms, Analysis, and Performance
Song Han;Kam-Yiu Lam;Jiantao Wang;Krithi Ramamritham;Aloysius K. Mok
Maintaining sensor data validity while exercising timely control is crucial in real-time sensing and control systems. The goal of scheduling algorithms deployed in such systems is to maintain the validity of real-time sensor data so as to maximize the schedulability of update transactions with minimum update workload so that control actions occur on time. In this paper, we first propose a dynamic ...Show More
Adaptive encoding scheme for real-time video streaming over mobile networks
2012 Third Asian Himalayas International Conference on Internet
Year: 2012 | Conference Paper |
Cited by: Papers (1)
Advances in mobile technologies have continuously improved the capability and data access of mobile devices. High resolution camera, large multi-touch screen and improving data rate make video communication more ready to replace voice communication on mobile phones. However, connectivity and data rate are not guaranteed in mobile networks which make it hard to maintain a jitter-free streaming of l...Show More
On Co-scheduling of Periodic Update and Application Transactions with Fixed Priority Assignment for Real-Time Monitoring
Jiantao Wang;Kam-yiu Lam;Song Han;Sang H. Son;Aloysius K. Mok
2012 IEEE 26th International Conference on Advanced Information Networking and Applications
Year: 2012 | Conference Paper |
Cited by: Papers (1)
In a real-time database system for detection of critical events,On co-scheduling of periodic update and application transactions with fixed priority assignment for real-time monitoring meeting the deadlines of the application transactions and maintaining the quality of the real-time data objects are two critical issues in ensuring the effectiveness of performing the real-time monitoring tasks. Unf...Show More
On Least Idle Slot First Co-scheduling of Update and Control Tasks in Real-Time Sensing and Control Systems
2011 IEEE 17th International Conference on Parallel and Distributed Systems
Year: 2011 | Conference Paper |
Cited by: Papers (2)
Typical real-time sensing and control systems consist of a set of update tasks for installing sensor measurements from the operation environment and a set of control tasks to access to these measurements for making control decisions. Although configuring the sensors with higher sampling rates could improve the accuracy of the measurements and control quality in general, scheduling high frequent up...Show More
Deferrable Scheduling for Maintaining Real-Time Data Freshness: Algorithms, Analysis, and Results
IEEE Transactions on Computers
Cited by: Papers (42)
The periodic update transaction model has been used to maintain the freshness (or temporal validity) of real-time data. Period and deadline assignment has been the main focus of past studies, such as the More-Less scheme [25], in which update transactions are guaranteed by the Deadline Monotonic scheduling algorithm [16] to complete by their deadlines. In this paper, we propose a deferrable schedu...Show More
Quality of service guarantee for temporal consistency of real-time transactions
The more-less (ML) scheme has been shown to be an efficient approach for maintaining temporal consistency of real-time data objects. Although ML provides a deterministic guarantee in temporal consistency, the number of update transactions that can be supported in a system is limited. This is due to its use of the worst-case computation time in deriving deadlines and periods of update transactions....Show More
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