Toward secure and private service discovery anywhere anytime
With the advances in and convergence of Internet technologies, embedded computers, and wireless communication, computing devices have become part of our daily life. Hand-held devices and sensors with wireless connections create opportunities for many ...
Three challenges in data mining
In this article, I will discuss three challenges in today's data mining field. These challenges include: the transfer learning challenge, the social learning challenge and the mobile context mining challenge. I pick these three challenges because I ...
Long-term large-scale sensing in the forest: recent advances and future directions of GreenOrbs
- Yunhao Liu,
- Guomo Zhou,
- Jizhong Zhao,
- Guojun Dai,
- Xiang-Yang Li,
- Ming Gu,
- Huadong Ma,
- Lufeng Mo,
- Yuan He,
- Jiliang Wang,
- Mo Li,
- Kebin Liu,
- Wei Dong,
- Wei Xi
We introduce GreenOrbs, our recent effort in exploring the fundamental challenges and future direction of long-term large-scale applications of wireless sensor networks. An integrated framework with more than 1000 sensors has been implemented, including ...
iSensNet: an infrastructure for research and development in wireless sensor networks
This paper describes iSensNet, an infrastructure that we designed and implemented for various research and development projects in wireless sensor networks (WSNs). iSensNet is composed of a WSN platform and an event publish/subscribe middleware. On the ...
Data-driven testing methodology for RFID systems
A radio-frequency identification (RFID) system including hardware and software may be updated from time to time after first time deployment. To ensure the reliability of the system, extensive tests are required. However, enumerating all test cases is ...
Packet transmission policies for battery operated wireless sensor networks
With the concept of "Cognitive Sense of China" and "Smart Planet" proposed, wireless sensor networking is considered to be one of the most important technologies of the new century. In wireless sensor networks, how to extend battery lifetime is a core ...
Development of foundation models for Internet of Things
With the advent of the Internet of Things (IoT) that offers capabilities to identify and connect worldwide physical objects into a unified system, the importance of modeling and processing IoT data has become significantly accentuated. IoT data is ...
Visual data security and management for smart cities
This paper proposes a method to manage and utilize image and video data effectively in a smart city. Applying digital watermarking techniques, a framework for visual data security and management for smart cities is presented. In the framework, a ...
A 3D shape retrieval framework for 3D smart cities
This paper introduces the importance of 3D shape retrieval frameworks in 3D smart cities, and proposes a unified framework for 3D shape retrieval. The proposed method is based on the concept of visual representation, where each object is rendered with ...
Virtual cityscapes: recent advances in crowd modeling and traffic simulation
We survey our recent work on interactive modeling, generation, and control of large-scale crowds and traffic for simulating digital cities. These include multi-agent navigation, simulating large crowds with emerging behaviors as well as interactive ...
Applied research of data sensing and service to ubiquitous intelligent transportation system
High-efficiency transportation systems in urban environments are not only solutions for the growing public travel demands, but are also the premise for enlarging transportation capacity and narrowing the gap between urban and rural areas. Such ...
