Hong Kong Baptist University

About: Hong Kong Baptist University is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: Population & China. The organization has 7811 authors who have published 18919 publications receiving 555274 citations. The organization is also known as: Hong Kong Baptist College & HKBU.

Adaptive image segmentation with distributed behavior-based agents

Abstract: Presents an autonomous agent-based image segmentation approach. In this approach, a digital image is viewed as a two-dimensional cellular environment which the agents inhabit and attempt to label homogeneous segments. In so doing, the agents rely on some reactive behaviors such as breeding and diffusion. The agents that are successful in finding the pixels of a specific homogeneous segment will breed offspring agents inside their neighboring regions. Hence, the offspring agents will become likely to find more homogeneous-segment pixels. In the mean time, the unsuccessful agents will be inactivated, without further search in the environment.

An exploration of Biggs’ constructive alignment in course design and its impact on students’ learning approaches

Abstract: This paper investigates whether instructors’ adoption of constructive alignment has any impact on university students’ learning approaches, which are highly correlated with students’ achievement of learning outcomes. A multi-method model with a combination of qualitative and quantitative design was adopted, using document analysis, interviews and survey. The analysis of covariance results suggested that regardless of individual differences, students would adjust their learning approaches and study behaviours in response to the classroom teaching and learning environment. Students in more ‘constructively aligned courses’ were more likely to adopt deep learning approaches and less likely to use surface learning approaches in their study of a particular course.

Organochlorine hydrocarbons in human breast milk collected in Hong Kong and Guangzhou.

Abstract: In southern China, the awareness of persistent organic pollutant contamination has been increasing as a considerable number of past studies in Hong Kong had reported their trail in the coastal sediments, green-lipped mussels, muscle and viscera of pond fish, and foodstuffs. Hence there is an urgent need to assess their existence, contamination profiles, and potential impact on the public. In the present study, a survey was conducted to examine p,p'-DDT, p,p'-DDE, beta-HCH, and PCB concentrations in human breast milk, one of the most reliable bioaccumulation indicators. Milk samples (115 from Hong Kong and 54 from Guangzhou), in the lactation period from 3-5 weeks were analyzed. The results demonstrated that the mean levels of p,p'-DDT (Hong Kong: 0.39; Guangzhou: 0.70 microg/g of fat), p,p'-DDE (2.48; 2.85), and beta-HCH (0.95; 1.11) were 2-15-fold higher when compared with studies conducted elsewhere ( i.e., United Kingdom, Germany, Sweden, Spain, and Canada), and in contrast the concentration of PCBs (0.035; 0.031) was about 10 times lower. When compared to a similar study conducted 10 years ago in Hong Kong ( p,p'-DDT 2.17 microg/g of fat, p,p'-DDE 11.67, beta-HCH 15.96, and PCB 0.64), a considerable reduction in the levels of their contaminations was observed. The drastic reduction in body burdens in 10 years' time is presumably the result of effective regulatory actions. It is worth noting that body burden correlated positively with maternal age (total DDT, r = 0.93; beta-HCH, r = 0.91; PCBs, r = 0.77) and with historical record of seafood consumption (total DDT, r = 0.89; beta-HCH, r = 0.98; PCBs, r = 0.91) (p < 0.001) and potential uptake of the POPs by breastfed infants may pose adverse health hazards.

Grid-partition index: a hybrid method for nearest-neighbor queries in wireless location-based services

Abstract: Traditional nearest-neighbor (NN) search is based on two basic indexing approaches: object-based indexing and solution-based indexing. The former is constructed based on the locations of data objects: using some distance heuristics on object locations. The latter is built on a precomputed solution space. Thus, NN queries can be reduced to and processed as simple point queries in this solution space. Both approaches exhibit some disadvantages, especially when employed for wireless data broadcast in mobile computing environments.In this paper, we introduce a new index method, called the grid-partition index, to support NN search in both on-demand access and periodic broadcast modes of mobile computing. The grid-partition index is constructed based on the Voronoi diagram, i.e., the solution space of NN queries. However, it has two distinctive characteristics. First, it divides the solution space into grid cells such that a query point can be efficiently mapped into a grid cell around which the nearest object is located. This significantly reduces the search space. Second, the grid-partition index stores the objects that are potential NNs of any query falling within the cell. The storage of objects, instead of the Voronoi cells, makes the grid-partition index a hybrid of the solution-based and object-based approaches. As a result, it achieves a much more compact representation than the pure solution-based approach and avoids backtracked traversals required in the typical object-based approach, thus realizing the advantages of both approaches.We develop an incremental construction algorithm to address the issue of object update. In addition, we present a cost model to approximate the search cost of different grid partitioning schemes. The performances of the grid-partition index and existing indexes are evaluated using both synthetic and real data. The results show that, overall, the grid-partition index significantly outperforms object-based indexes and solution-based indexes. Furthermore, we extend the grid-partition index to support continuous-nearest-neighbor search. Both algorithms and experimental results are presented.