335 research outputs found

    Perception of Current and Former Students towards Attended Music Programs

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    The job market for musicians has always been competitive. This study aims to provide a better understanding of the perspectives of music students, and retrospective perception from graduates towards their training in music schools. The vast majority of participants reported that they are happy with their current jobs. More than half of the respondents ranked music schools as very successful in preparing them for the job market. Majority of the respondents believe that music schools should include more job-preparation courses in their offerings to prepare students for the always competitive music job market. More practical curriculum is advocated by some respondents

    Examining the diagnostic accuracy of a delayed sentence imitation test for Cantonese-speaker preschoolers

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    "A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, June 30, 2009."Includes bibliographical references (p. 27-30).Thesis (B.Sc)--University of Hong Kong, 2009.published_or_final_versionSpeech and Hearing SciencesBachelorBachelor of Science in Speech and Hearing Science

    Recycling in the management of solid waste : a study of the governance of Hong Kong's EcoPark

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    published_or_final_versionPolitics and Public AdministrationMasterMaster of Public Administratio

    IoT-based Asset Management System for Healthcare-related Industries

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    The healthcare industry has been focusing efforts on optimizing inventory management procedures through the incorporation of Information and Communication Technology, in the form of tracking devices and data mining, to establish ideal inventory models. In this paper, a roadmap is developed towards a technological assessment of the Internet of Things (IoT) in the healthcare industry, 2010–2020. According to the roadmap, an IoT-based healthcare asset management system (IoT-HAMS) is proposed and developed based on Artificial Neural Network (ANN) and Fuzzy Logic (FL), incorporating IoT technologies for asset management to optimize the supply of resources

    Study protocol for a randomised controlled trial evaluating the effectiveness of strengths model case management (SMCM) with Chinese mental health service users in Hong Kong

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    Introduction Strengths-based approaches mobilise individual and environmental resources that can facilitate the recovery of people with mental illness. Strengths model case management (SMCM), developed by Rapp and Goscha through collaborative efforts at the University of Kansas, offers a structured and innovative intervention. As evidence of the effectiveness of strengths-based interventions come from Western studies, which lacked rigorous research design or failed to assure fidelity to the model, we aim to fill these gaps and conduct a randomised controlled trial (RCT) to test the effectiveness of SMCM for individuals with mental illness in Hong Kong. Methods and analysis This will be an RCT of SMCM. Assuming a medium intervention effect (Cohen’s d=0.60) with 30% missing data (including dropouts), 210 service users aged 18 years or above will be recruited from three community mental health centres. They will be randomly assigned to SMCM groups (intervention) or SMILE groups (control) in a 1:1 ratio. The SMCM groups will receive strengths model interventions from case workers, whereas the SMILE groups will receive generic care from case workers with an attention placebo. The case workers will all be embedded in the community centres and will be required to provide a session with service users in both groups at least once every fortnight. There will be two groups of case workers for the intervention and control groups, respectively. The effectiveness of the SMCM will be compared between the two groups of service users with outcomes at baseline, 6 and 12 months after recruitment. Functional outcomes will also be reported by case workers. Data on working alliances and goal attainment will be collected from individual case workers. Qualitative evaluation will be conducted to identify the therapeutic ingredients and conditions leading to positive outcomes. Trained outcome assessors will be blind to the group allocation. Ethics and dissemination Ethical approval from the Human Research Ethics Committee at the University of Hong Kong has been obtained (HRECNCF: EA1703078). The results will be disseminated to service users and their families via the media, to healthcare professionals via professional training and meetings and to researchers via conferences and publications

    Mainland Chinese Tourists’ Expectations, Perceived Performance of and Satisfaction towards Shopping Malls in Hong Kong

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    Tourists from mainland China constitute one of the world's biggest and fastest-growing travel markets. The Hong Kong Tourism Board expects the frequency of the mainland Chinese tourists to grow steadily. One of the beneficiaries of this phenomenon is Hong Kong’s shopping malls. However, understanding of tourists from mainland China’s expectations from, perceived performance of and satisfaction with the shopping malls’ attributes in Hong Kong is inadequate. This study intends to fill this important gap. A survey questionnaire was employed for data collection. The main results reveal the mainland Chinese tourists’ levels of satisfaction, indifference and dissatisfaction as well as the relationship between shopping malls’ attributes and customer satisfaction

    Six-Digit Stroke-based Chinese Input Method

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    Abstract-During the last three decades, more than one thousand Chinese input methods have been developed. However, people are still looking for better input methods in terms of easy to use, easy to remember, high input speed and small keypad implementation on handheld devices. The well-known strokebased Chinese input method using only five basic stroke types could achieve low learning curve and small numeric keypad implementation but its input speed is limited for complex Chinese characters with a lot of strokes. To tackle this problem, simplified stroke-based Chinese character and phrase coding methods using (3+3) rules are proposed in this paper. The proposed method only uses the first 3 stroke codes and the last 3 stroke codes to represent the first and last radical information of the character for achieving lower average code length and higher hit rate of first character on the candidate list. To further enhance the input speed, a very user-friendly (3+3) phrase coding rule is also proposed for inputting Chinese phrases in terms of 2-character, 3-character and long-character phrases. Three special key assignment designs are developed for practical implementation of the proposed Chinese character and phrase input method using conventional QWERTY keyboard, PC's numeric keypad and mobile phone 12-key keypad. Experimental results have shown that the proposed character coding can achieve lower average code length and higher Hit Rate of First Character as compared with conventional stroke-based method and some well-known Chinese input methods. The proposed coding rules are also very easy to use and remember

    Multiple Block-Size Search Algorithm for Fast Block Motion Estimation

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    Abstract-Although variable block-size motion estimation provides significant video quality and coding efficiency improvement, it requires much higher computational complexity compared with fixed block size motion estimation. The reason is that the current motion estimation algorithms are mainly designed for fixed block size. Current variable block-size motion estimation implementation simply applies these existing motion estimation algorithms independently for different block sizes to find the best block size and the corresponding motion vector. Substantial computation is wasted because distortion data reuse among motion searches of different block sizes is not considered. In this paper, a motion estimation algorithm intrinsically designed for variable block-size video coding is presented. The proposed multiple block-size search (MBSS) algorithm unifies the motion searches for different block sizes into a single searching process instead of independently performing the search for each block size. In this unified search, the suboptimal motion vectors for different block sizes are used to determine the next search steps. Its prediction quality is comparable with that obtained by performing motion search for different block sizes independently while the computational load is substantially reduced. Experimental results show that the prediction quality of MBSS is similar to full search. Block matching, motion estimation, video coding, search pattern, directional search

    A Search Patterns Switching Algorithm for Block Motion Estimation

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