• International Journal of Quality Innovation
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• v.7 no.1
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• pp.35-47
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• 2006

Client-supplier collaboration has been an imperative approach to new product development (NPD), in which a good product specification management system and practice is crucial to the assurance of product quality. This study investigates product specification management in client-supplier collaborative NPD. Based on the interviews and survey study, 12 problems and 13 good practices of product specification management are identified. It also compares the importance and degree of the implementation of the product specification practices in Hong Kong electronics industry. The results suggest that more intensive practices should be implemented for better product specification management.

• Journal of Navigation and Port Research
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• v.32 no.2
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• pp.149-158
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• 2008

This paper discusses the strategies for the future qf the Hong Kong Port and Buasn Port. We assess whether they prepare the ports for the position of being the logistics hub, and as such could assist the ports to maintain their position in the world's container port. We reviewed both the current situation qf the Hong Kong Port and the strategy of the port for the future (Master Plan 2020) to keep the status of logistics hub. With the case study on the Port of Hong Kong, this study attempts to examine what the strategic planning is needed for the Busan Port. We debate the Port of Busan could be seen as a logistics chain for the future. In our discussion, the strategic planning on "Port Vision 2020" for Port of Busan does not address the issues regarding this part, nor does it make any recommendations in terms of the requirement of the logistics private sector.

• Journal of Smart Tourism
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• v.1 no.1
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• pp.31-39
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• 2021

Smart tourism, a promising development trend for destinations, has drawn growing attention from practitioners and academics. Extant research has laid a solid theoretical foundation on the roles of technology and effects of smart tourism on tourists. However, little is known about structured and profound implications for a destination's smart tourism development. Thus, by selecting Hong Kong as a case city, this study proposes a framework of implications for smart tourism development. A qualitative approach was employed to gain insights from smart tourism stakeholders. Results shed light on nine elements that boost the smart tourism development of destinations. These nine elements serve as a significant reference for policy-making. Several theoretical and practical implications are provided for scholars, practitioners, and policy makers.

• Architectural research
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• v.23 no.4
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• pp.55-66
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• 2021

This paper examines the issue of heritage preservation by revitalization based in Hong Kong and in particular highlighting the ways in which preservation and urban development can be complementary forces instead of in opposition. Hong Kong and its architectural history is briefly discussed, before explaining the relevant Government measures that are in place with regards to built heritage. The statutory bodies and the level of protection given to heritage buildings are key factors in establishing a basis for the notion of Hong Kong's heritage preservation policies and as such are important to consider when determining any future urban development. Successful revitalization projects will be discussed which are all direct consequences of Hong Kong's more recent change in policies towards heritage preservation.

• Research in Mathematical Education
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• v.15 no.3
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• pp.209-228
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• 2011

Many studies such as Pepin (1999a; 1999b), Kaiser (2002), and Park & Leung (2006) revealed that there is a strong dependence of mathematics teaching on cultural traditions in different countries. This study was set up as a detailed comparison between the intended curricula in Berlin and Hong Kong to explore how cultural tradition influenced the intended curriculum. In this study, the intended curriculum is what the (local, state or national) curriculum developers stipulate in the official documents. The German educational system is influenced by the curriculum tradition called Didaktik. Didaktik is a tradition about teaching and learning. Since 16th century, Didaktik has been the most important tool for planning, enacting, and thinking about teaching in most of northern and central Europe (Westbury, 1998). On the other hand, the education system in Hong Kong is influenced by both the Anglo-Saxon curriculum tradition and the Confucian heritage culture (CHC). It was found in this study that, although many studies revealed that there is a strong dependence on cultural traditions of mathematics teaching in different countries, other factors such as social factors or the education system also played an important part in shaping the intended mathematics curriculum. So a simplistic view of dependence of the curriculum on cultural traditions is not warranted. The formation of the curriculum is a much more complicated process encompassing various factors including needs of society, advancement of technology, and government policies at different levels.

• Proceedings of the Korean Geotechical Society Conference
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• 2009.09a
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• pp.651-659
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• 2009

There are a great number of man-made and natural slopes in many parts of the world including Hong Kong and Mainland China. For example, there are over 40,000 slopes in Hong Kong registered by the Hong Kong Government. Landslides due to slope failures can often cause catastrophes that involve the loss of both lives and important facilities. GPS has been demonstrated to have great potentials for use in monitoring slope stability and landslides. However, the high hardware cost of GPS has limited the wide spread use of GPS for such applications. The multi-antenna GPS technology initiated by the research group and our collaborators has significantly reduced the cost of GPS and provided a solution to a number of associated problems such as data management and power supply. This paper discusses practical applications of multi-antenna GPS technology in slope monitoring, including system design, setting up, data transmission and management, and data quality analysis and control. Some slope monitoring examples are given to illustrate the points discussed.

• Structural Engineering and Mechanics
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• v.15 no.1
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• pp.115-134
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• 2003

The Ting Kau Bridge in Hong Kong is a cable-stayed bridge comprising two main spans and two side spans. The bridge deck is supported by three towers, an end pier and an abutment. Each of the three towers consists of a single reinforced concrete mast which reduces its section in steps, and it is strengthened by transverse cables and struts in the transverse vertical plane. The bridge deck is supported by four inclined planes of cables emanating from anchorages at the tower tops. In view of the threat from typhoons, the dynamic behaviour of long-span cable-supported bridges in the region is always an important consideration in their design. This paper is devoted to the ambient vibration measurements of the bridge for evaluation of dynamic characteristics including the natural frequencies and mode shapes. It also describes the modelling of the bridge. A few finite element models are developed and calibrated to match with the field data and the results of subsequent structural health monitoring of the bridge.

• Wind and Structures
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• v.10 no.5
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• pp.401-420
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• 2007

Field measurements of the wind-induced response of two residential reinforced concrete buildings, among the tallest in the world, have been performed during two typhoons. Natural periods and damping values have been determined and compared with other field measurements and empirical predictors. Suitable and common empirical predictors of natural period and structural damping have been obtained that describe the trend of tall, reinforced concrete buildings whose structural vibrations have been measured in the collection of studies in Hong Kong compiled by the authors. This data is especially important as the amount of information known about the dynamic parameters of buildings of these heights is limited. Effects of the variation of the natural period and damping values on the alongwind response of a tall building for serviceability-level wind conditions have been profiled using the gust response factor approach. When using this approach on these two buildings, the often overestimated natural periods and structural damping values suggested by empirical predictors tended to offset each other. Gust response factors calculated using the natural periods and structural damping values measured in the field were smaller than if calculated using design-stage values.

• Smart Structures and Systems
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• v.29 no.1
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• pp.63-75
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• 2022

The raw data collected by structural health monitoring (SHM) systems may suffer multiple patterns of anomalies, which pose a significant barrier for an automatic and accurate structural condition assessment. Therefore, the detection and classification of these anomalies is an essential pre-processing step for SHM systems. However, the heterogeneous data patterns, scarce anomalous samples and severe class imbalance make data anomaly detection difficult. In this regard, this study proposes a convolutional neural network-based data anomaly detection method. The time and frequency domains data are transferred as images and used as the input of the neural network for training. ResNet18 is adopted as the feature extractor to avoid training with massive labelled data. In addition, the focal loss function is adopted to soften the class imbalance-induced classification bias. The effectiveness of the proposed method is validated using acceleration data collected in a long-span cable-stayed bridge. The proposed approach detects and classifies data anomalies with high accuracy.

• Investigative Magnetic Resonance Imaging
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• v.25 no.4
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• pp.293-299
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• 2021

Purpose: To accelerate magnetic resonance fingerprinting (MRF) by developing a flexible deep learning reconstruction method. Materials and Methods: Synthetic data were used to train a deep learning model. The trained model was then applied to MRF for different organs and diseases. Iterative reconstruction was performed outside the deep learning model, allowing a changeable encoding matrix, i.e., with flexibility of choice for image resolution, radiofrequency coil, k-space trajectory, and undersampling mask. In vivo experiments were performed on normal brain and prostate cancer volunteers to demonstrate the model performance and generalizability. Results: In 400-dynamics brain MRF, direct nonuniform Fourier transform caused a slight increase of random fluctuations on the T2 map. These fluctuations were reduced with the proposed method. In prostate MRF, the proposed method suppressed fluctuations on both T1 and T2 maps. Conclusion: The deep learning and iterative MRF reconstruction method described in this study was flexible with different acquisition settings such as radiofrequency coils. It is generalizable for different in vivo applications.