Demo Data from EDBT 2026 / reviewers in the wild / expert
K. C. Cheung
dblp:74/1999
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3Systems, architecture and hardware · 2Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Robot manipulation · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
grasping |
0.0 | 1 | 1995 | An Inertial Sensor for Parts Inspection · ICRA 1995 |
Embedded and real-time systems › sensor systems
inertial sensing |
0.0 | 1 | 1995 | An Inertial Sensor for Parts Inspection · ICRA 1995 |
Embedded and real-time systems
sensor design |
0.0 | 1 | 1995 | An Inertial Sensor for Parts Inspection · ICRA 1995 |
Methods — techniques the papers use, named apart from their topics
vibration analysis · 0.0inertial property measurement · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Automatic Extraction of Bone Boundaries from CT Scans Using an Intelligence-Based ApproachabstractThe objective of extracting bone structure boundaries from computed tomography (CT) data is to serve as input for 3D model reconstruction. Various boundary detection algorithms for CT images have been developed in the last few decades but very few of them are completely automatic. Also, most of them were not capable of dealing with critical locations such as narrow gaps. A novel intelligence-based approach is proposed for automatic extraction of bone boundaries. This approach involves three major steps: gap detection, fuzzy multilevel thresholding and boundary transform (thinning method). Results of applying the approach to CT images are presented, with a discussion of the potential for clinical application. F. Y. Kwan, K. C. Cheung, Ian Gibson |
ICPR | 2 |
| 1995 | An Inertial Sensor for Parts InspectionabstractThis paper describes the development of a sensor which performs parts inspection by measuring the inertial properties of the part. The sensor comprises a measuring platform supported on a column which is fixed to a rigid base. The part under inspection is attached to the platform to form a single body. By measuring the static deflections of the column and the natural frequency of vibration of the system, it is possible to determine the spatial location of the centre of mass of the part. S. M. Tam, K. C. Cheung |
ICRA | 2 |
| 1990 | Initial motion of a rectangular object being pushed or pulledabstractTechniques are described for determining the location of the initial center of rotation (COR) of a rectangular bar being pushed or pulled. The initial COR is the point about which the bar first rotates when the pushing or pulling force is applied. This point characterizes the initial motion of the bar. Also investigated is how the location of the initial COR varies with the magnitude of the exerted force. The minimum effort criterion is proved to be able to predict the quasi-static centre of rotation. It is found that the initial COR always lies between the quasi-static and the impulsive CORs and that it will move towards the impulsive COR as the magnitude of the applied force increases. It is shown that there exists a point on an object such that, when the force is applied at that point, the object will start to rotate about a known point.> K. C. Cheung, Song Huat Yeo |
ICRA | 2 |