21 research outputs found

    Adaptive weighted least squares algorithm for Volterra signal modeling

    No full text
    Published versio

    Crew scheduling of light rail transit in Hong Kong: From modeling to implementation

    No full text
    This work concerns the problem of crew scheduling for the Hong Kong Light Rail Transit (LRT), which together with Heavy Rail Transit, makes up the two divisions of Kowloon-Canton Railway Corporation. As of early 1996, LRT operates eight routes, two train depots and 57 stations on its operational network. It is rapidly expanding on routes, capacities and territorial coverage, hence pressing needs for timely constructions of crew schedules whenever passenger demand variations necessitate modifications in train timetables, typically every 3-4 months. Computer-assisted manual solutions from old software can take up to 1 month of painstaking work. Our project aims at automating this complex schedule construction, adopting a novel optimization modeling approach amenable for decomposition into separate solution stages by network and heuristics algorithms. The entire crew schedule can be constructed iteratively in less than half an hour on a PC. The implementation runs as a decision support tool, with contributions of an overwhelming reduction in human effort in crew schedule construction and a feasible and better (higher productivity rate) schedule, with possible further manual improvements that can be made. © 1998 Elsevier Science Ltd. All rights reserved.link_to_subscribed_fulltex

    A scale development study of CSR : hotel employees’ perceptions

    No full text
    202207 bchyAccepted ManuscriptSelf-fundedPublishe

    Effectiveness of a tiered intervention model in Chinese: A growth model of reading fluency

    No full text
    Session: InterventionPurpose The present study examined the effectiveness of a tiered intervention model of reading instruction in Chinese. The research questions were whether the intervention helped to improve word reading fluency of ordinary students and poor readers, and what factors may affect the effectiveness of the intervention. Method Participants were 620 Chinese first graders from 11 primary schools in Hong Kong. All the participants attended whole-class Tier 1 intervention from Grade 1 to Grade 2. 104 poor readers attended Tier 2 remedial intervention at Grade 2. All the participants were tested on a standardized one-minute word reading test five times from the beginning of Grade 1 to the end of Grade 2. Results As compared with the local norm, both Tier 1 and Tier students showed significant improvement after 2 years of intervention. Results of latent growth modeling showed that Tier 2 students had a steeper growth slope than Tier 1 students in Grade 2. It was found that schools using Cantonese as the medium of instruction, larger schools, and schools in higher academic banding were significantly associated to higher growth of word reading fluency. Conclusions The present findings support that this tailor-made Chinese intervention program is very effective for improving word reading fluency of Chinese ordinary students and those with reading difficulties. For factors that may affect how well children learn to read, it appears that school resources, student academic ability, and students learning in their mother tongue are some factors for consideration
    corecore