
Chun-Ho WuHang Seng University of Hong Kong · Supply Chain and Information Management
Chun-Ho Wu
BEng, Ph.D.
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159
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Introduction
Chun-Ho Wu currently works at the Supply Chain and Information Management (SCM), The Hang Seng University of Hong Kong. Chun-Ho does research in Industrial Engineering, IIoT & A.I. Applications, and Teaching Methods. He has worked in different R&D projects such as 'Energy, Environment and Safety Cloud Applications (EES-Cloud) for Smart Cities' and 'Development of a IoT Healthcare Platform for Elderly Fitness Exercises'.
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Publications
Publications (159)
Traditional cell classification methods generally extract multiple features of the cell manually. Moreover, the simple use of artificial feature extraction methods has low universality. For example, it is unsuitable for cervical cell recognition because of the complexity of the cervical cell texture and the large individual differences between cell...
Purpose – Due to the rapid growth of blockchain technology in recent years, the fusion of blockchain and the Internet of Things (BIoT) has drawn considerable attention from researchers and industrial practitioners and is regarded as a future trend in technological development. Although several authors have conducted literature reviews on the topic,...
Due to the rapid development of the Internet of Things (IoT), logistics and supply chain operations have been digitally transformed. Physical objects are interconnected to perform real-time monitoring and decision support through cyber-physical systems. Besides machine-to-machine communications, humans play an essential role in IoT-empowered supply...
Blockchain has facilitated the emergence of automation and decentralization concepts, leading to significant organizational and operational changes in businesses, e.g., decentralized autonomous organizations (DAOs). In DAOs, management decisions are made collectively and automatically through smart contracts without a central authority, which resul...
In the wake of the global disruption caused by the coronavirus pandemic, digital channels have emerged as a significant driver of business sales. As such, the value of digital business management has received considerable attention from industrial practitioners. Beyond conventional promotion techniques, collaboration with digital market influencers...
Recent advances in Industry 4.0 technologies drive robotic objects' decentralisation and autonomous intelligence, raising emerging space security concerns, specifically invasion detection. Existing physical detection methods, such as vision-based and radar-based techniques, are ineffective in detecting small-scale objects moving at low speeds. Ther...
Digital transformation (DT) and automation technologies have significantly impacted logistics and supply chain management (LSCM), enhancing business performance. Efforts to automate processes alongside machine and robotic automation aim to improve reliability, consistency, efficiency, and cost-effectiveness. While existing research has explored spe...
In practical data analysis, individual measurements usually include two or more responses, and some statistical correlations often exist between the responses. Especially in medical data analysis, observations are often binary responses. A class of multi-response logistic regression model based on a joint modeling approach is investigated in this p...
In the context of sustainable development, while the benefits of incorporating environmental, social, and governance (ESG) considerations into supplier management have been widely discussed in recent years, a significant gap in the literature remains. Specifically, there is a lack of a standardized decision analytics framework for ESG-oriented supp...
Currently, a large number of pornographic images on the Internet severely affect the growth of adolescents. In order to create a healthy and benign online environment, it is necessary to recognize and detect these sensitive images. Current techniques for detecting pornographic content are still in an immature stage, with the key issue being low det...
In this paper, we propose a Bayesian quantile regression (QR) approach to jointly model multivariate ordinal data. Firstly, a multivariate latent variable model is used to link the multivariate ordinal data and latent continuous responses and the multivariate asymmetric Laplace (MAL) distribution is employed to construct the joint QR-based working...
Along with the rapid development of industries and the acceleration of urbanisation, the problem of air pollution is becoming more serious. Exploring the relevant factors affecting air quality and accurately predicting the air quality index are significant in improving the overall environmental quality and realising green economic development. Mach...
Despite the ongoing success of artificial intelligence applications, the deployment of deep learning models on end devices remains challenging due to the limited onboard computational resources. A way to tackle this challenge is model compression through network pruning, which removes unnecessary parameters to reduce model size without significantl...
Contribution:
This research explores the effectiveness of a proposed teaching strategy in blockchain education, finding that it enhances learning outcomes, cognitive well-being, and student engagement in tertiary education, ultimately resulting in a shallower learning curve for STEM knowledge.
Background: In the context of Industry 4.0, blockchai...
The autonomous remote inspection method based on unmanned aerial vehicle (UAV) has potential benefits in solving the safety inspection problem of large-scale industrial facilities. However, the low coverage rate caused by unsatisfactory trajectory quality is the main challenge of autonomous inspection operations. Therefore, in order to effectively...
Ordinal data frequently occur in various fields such as knowledge level assessment, credit rating, clinical disease diagnosis, and psychological evaluation. The classic models including cumulative logistic regression or probit regression are often used to model such ordinal data. But these modeling approaches conditionally depict the mean character...
In real applied fields such as clinical medicine, environmental sciences, psychology as well as economics, we often encounter the task of conducting statistical inference for longitudinal data with ordinal responses. The traditional methods of longitudinal data analysis are often inclined to model continuous responses, which are no longer suitable...
The emergence of blockchain technology has seen applications increasingly hybridise cloud storage and distributed ledger technology in the Internet of Things (IoT) and cyber-physical systems, complicating data management in decentralised applications (DApps). Because it is inefficient for blockchain technology to handle large amounts of data, effec...
The growing demand for cold chain e-fulfilment services has created challenges for implementing low-carbon practices due to the use of extensive energy and insulation materials required to maintain the desired service quality throughout the supply chain. This study applies the Fuzzy Best Worst Method with group decision-making capabilities to ident...
The increasing volume of scientific publications has created a need for more efficient and effective literature review processes. Bibliometric analysis is a quantitative approach to analysing bibliographic data extracted from research studies to identify publishing patterns and trends within specific knowledge domains. Science mapping is a widespre...
Pallet loading operations support palletisation and truckload optimisation for e-fulfilment processes. Currently, the pallet loading problem is optimised offline using available cargo information, which is advantageous compared to typical freight operations but results in inefficiency when handling fragmented e-commerce orders. This research develo...
Industry 4.0 is reshaping the manufacturing landscape, bringing about revolutionary changes in both product manufacturing and collaborative interactions among value chain constituents. Within the manufacturing value chain process, sustainable and resilient supplier management is recognized as a strategic endeavor that drives value creation such as...
This studyanalyses the viticulture sector's evolution, emphasizing the need for a novel wine management system. A surge in wine consumption during the 20th century, attributed to lifestyle changes and rising disposable incomes, has necessitated more accessible and efficient management systems. However, existing wine-centric mobile applications and...
The intrinsic value of brand names has led to the widespread presence of counterfeits in multi-industries. Although government enforcement plays a role in combating counterfeits, it is difficult to fundamentally curb counterfeiting. This paper examines how the brand-name firm adopts the blockchain-technology-supported (BTS) platform in dealing with...
The breakout of COVID-19 has made consumers pay attention to the quality and source of fresh produce sold on e-commerce platforms, while the information traceability feature of blockchain can effectively monitor fresh produce quality and cope with fresh produce safety issues. Considering influencing factors such as the cost of blockchain technology...
our new teaching case - "Ka Shui: Digital Transformation" prepared by Ka Shui & The Hang Seng University of Hong Kong. This case explores the challenges and opportunities of implementing digitalization in an #OBM business. It delves into the role of #industry4 (i4.0), highlighting its contributions and limitations. The case also assesses potential...
A majority of government and international organisations have chosen English as their official language since it is the only language in the world with the status of a global language and a world language. One of the key components of learning a language is oral communication; however, students frequently overlook the value of oral communication, w...
During COVID-19, the explosive growth of demand for fresh agricultural products on E-commerce platform has increased the difficulty of maintaining the greenness and freshness in delivery. The traditional cold chain delivery is effective in keeping greenness, but its information asymmetry makes the freshness-keeping activities unable to be regulated...
The proliferation of Industry 4.0 (I4.0) technologies has created a new manufacturing landscape for manufacturing, requiring that companies follow I4.0 trends to stay competitive. However, in this novel digital automated environment, these companies must also ensure that lean manufacturing principles are upheld. This study proposes a data-driven fr...
The literature on quality management system (QMS) assumes that product and process performance data are authentic and easily accessible. This assumption, while ideologically sound, is questionable in practise because the authenticity and accessibility of data cannot be guaranteed in many circumstances. Inaccurate, incomplete, inconsistent, and inac...
In the research of multi-attribute decision-making (MADM), the best-worst method is now regarded as promising to support decision-makers in solving discrete multi-criteria decision problems. To extend its capabilities in handling data vagueness and decision makers’ ambiguity, the fuzzy best worst method (FBWM) was introduced in 2017. However, its g...
Purpose
Blockchain has been considered as a disruptive technology and every industry stands to benefit from it. According to Deloitte, increasing number of managers claim that their firms will suffer loss in competitive advantage if they do not adopt blockchain. Despite this motivation, insufficient knowledge on how can blockchain add value inhibit...
Solder paste printing (SPP) is one of the critical processes for the printed circuit board assembly to reliably apply the solder paste on raw PCBs for the component placement through surface mount technology. Although computerised SPP machines have been developed in the past few years, the reliance on domain experts cannot be neglected to fine-tune...
In recent aerospace missions, space logistics have proven essential in storing, delivering and returning crew and materials between terrestrial facilities and space stations. Unlike classical commercial logistics, space logistics operations are cost-prohibitive and mission-driven, and its replenishment cycle for essential materials is relatively lo...
This book covers research trends of data science and management involving cutting edge technologies and novel research directions from diverse fields of industries, business and government sectors. It involves usage of various advanced tools and techniques for understanding different data collected at the grassroot level to generate actionable insi...
Although blockchain is regarded as a promising and revolutionary technology, not everyone, particular non-technical students, can effectively understand and appraise its mechanism. To spread knowledge of blockchain technology, an online educational game for learning blockchain concepts named ‘BlockTrainHK’ is designed and developed from the React N...
This study proposes a platform that integrates blockchain technology, the Internet of Things (IoT), and big data analytics to enhance supply chain visibility and resolve data quality problems. Through simulations and fuzzy association rule mining, the research demonstrates how this platform can improve data accuracy and timeliness, enabling automat...
Collective Intelligence for Smart Cities begins with an overview of the fundamental issues and concepts of smart cities. Surveying the current state-of-the-art research in the field, the book delves deeply into key smart city developments such as health and well-being, transportation, safety, energy, environment and sustainability. In addition, the...
Smart living is an emerging technology that has attracted a lot of attention all around the world. As a key technology of smart space, which is the principal part of smart living, the SLAM system has effectively expanded the ability of space intelligent robots to explore unknown environments. Loop closure detection is an important part of SLAM syst...
The rapid development of advanced technologies has affected the healthcare industry regarding healthcare services delivery and the use of equipment for healthcare treatments. In China, due to the high coverage of mobile broadband and the high penetration rate of internet users, mobile healthcare solutions are a promising solution for the government...
The ageing population is a profound and pervasive challenge all over the world. More people are living to old age with disabling conditions and chronic diseases. This phenomenon leads to the increasing demands for healthcare services in terms of short-term and long-term healthcare services. Such healthcare services simply focus on delivering acute...
The ageing population has been a severe problem in the world. With the increasing aged population problem, society would face challenges in different dimensions, especially to the healthcare industry or healthcare system of a country. The demand for long-term care services would rise due to chronic diseases and physical deterioration among older pe...
During the past decade, IoT and cloud technology integration has been widely adopted in the healthcare industry to provide better healthcare solutions to the elderly. Considering the problems of resource shortage and the restriction of physical movement of patients, the complementary nature of the IoT and cloud, such as accessibility, security, dat...
Falls are one of the most common and problematic issues for the elderly, especially for the elderly living alone or going out independently. Falling can cause severe injuries to the elderly such as disability, hospitalisations and premature death. Aligning with the government policy, i.e. “Aging in place”, this chapter aims to design an IoT-based i...
In this chapter, we highlight and analyze the role of the Internet of Medical Things (IoMT), Edge and Cloud Computing Infrastructures to develop the new generation of healthcare systems for the elderly. The fast development in Edge computing technologies leads to the implementation and decentralized deployment of healthcare systems at a large scale...
Long-term care is caring for the elderly with physical or mental disabilities. Typically, it can be divided into two main types, which are home-based Care and Residential Care. For home-based care organisations mainly provide a wide range of long-term care services such as personal care, supportive care, specialised nursing care and domestic aid to...
The Healthcare sector is one of the important service sectors in the world. Advanced technologies, i.e. artificial intelligence (AI) and data mining techniques, have been implemented to improve the reliability and quality of delivering healthcare-related services. The objective of AI in healthcare is to analyse complex health and medical data by us...
Due to the ageing population worldwide, healthcare services have become increasingly concerned about their capacity to sustain the quality of life among the elderly. With most of the elderly who prefer staying at home, home care nursing service delivery is increasing in demand. However, in the home care nursing service, it is a common problem world...
Due to the increasing ageing population, how can caregivers effectively provide long-term care services to meet the older adults' needs with finite resources is emerging. In addressing this issue, nursing homes are striving to adopt smart health with the internet of things and artificial intelligence to improve the efficiency and sustainability of...
Virtual teams play a crucial role in today's knowledge-based organisation for overcoming challenges in our dynamic world, especially in the current situation of the COVID-19 pandemic. Teams play a key role in today's knowledge-based organization for overcoming challenges in our dynamic world. Drawing on social information processing theory, this st...
The speedily aging population leads to a continuously increasing demand for elderly healthcare services in terms of capacity and quality. However, there is a lack of resources provided by elderly homes, daycare centers and hospitals. Many domestic healthcare services are unable to take care of all of the elderly. The implementation of Internet of T...
Transport and citizens’ mobility (T&M) activities represent a key sector in the worldwide economies, contributing to social and economic progress in modern societies. T&M activities also constitute an important source of energy consumption, as well as environmental and social issues. In the face of sharp urbanization worldwide, metropolitan areas h...
Smart cities provide more benefits in terms of environment and increase the quality of life, efficiency in projects regarding smart cities, and solving urban problems (Benevolo, 2016). Internet of things (IoT), cloud computing, and big data collective intelligence would be three key elements to complete and perfect smart cities. Hence, with those t...
Due to the special handling requirements for various project cargo orders, it is time-consuming for workers to search for such information manually. In addition, considering workers with different experiences in handling project cargo orders may affect the quality of the mobile crane selection. The improper crane used to handle the oversize cargo m...
Parking coordinates transportation and land use in urban areas as one of the most critical assets to bring revenues to cities. Averagely, in big cities such as New York, San Francisco, Los Angeles and Melbourne, parking coverage takes more than 31% of land use. Hence, an IoT-based advanced automobile parking navigation platform (IAPNP) is designed...
In this chapter, the concept of semantic data streams and semantic stream processing are discussed as topics of interest in the context of smart cities and collective intelligence. The discussion is done from the perspective of the semantic web. In order to do so, the semantic web technology basis is first elaborated. The RDF-Stream format is discu...
The concept of \"Smart City\” has been a proliferating topic in the past two decades. Among the widespread discussion on this concept, two main features could be observed. The first one aims to leverage information and communications technology (ICT) infrastructures and innovative solutions to tackle citywide issues, including economic development,...
The city’s smart firefighting IoT platform mainly contains three components: fire monitoring, fire extinguishing, and fire management. In China, the city’s smart firefighting IoT platform serves as one of the most important IoT application platforms for nationwide IoT architecture implementation. In the chapter, a smart firefighting IoT platform wo...
In this chapter, one of the emerging technologies, namely blockchain, is discussed to create the foundation of technology and information management in the peer-to-peer network to enhance the functionalities and reliability of connected systems in smart cities. Three areas are involved in the blockchain discussion, namely (i) definition and overvie...
The current carbon-based energy network is undergoing changes and revolutions driven by the ever-growing concerns on carbon emissions and air pollutions and the safety and convenience of energy consumption. This global evolutionary transformation is toward a smart energy network as it is reinforced by the emergence of low-cost bandwidth and the rap...
In the general sense, a data stream can be defined as an unbound sequence of time-varying, coherent data, which is in the process of being transmitted. The broad definition shows many of the typical properties of data streams, which should be understood very clearly as they form the fundamentals of many challenges related to processing data streams...
Science, technology, engineering and mathematics (STEM) education is a globalized trend of equipping students to facilitate technological and scientific developments. Among STEM education, technology education (TE) plays a significant role in teaching applied knowledge and skills to create and add value to systems and products. In higher education,...
The estimation of the difference between the new competitive advantages of China's export and the world’s trading powers have been the key measurement problems in China-related studies. In this work, a comprehensive evaluation index system for new export competitive advantages is developed, a soft-sensing model for China’s new export competitive ad...
Due to the global ageing population, the increasing demand for long-term care services for the elderly has directed considerable attention towards the renovation of nursing homes. Although nursing homes play an essential role within residential elderly care, professional shortages have created serious pressure on the elderly service sector. Effecti...
Customised product design is attracting increasing attention. However, consumers can be overwhelmed by the variety of products. To confront this challenge, this paper presents a two-step recommendation approach for customised products. First, an adaptive specification process captures customer requirements in an accelerated manner by presenting the...
Pallet management as a backbone of logistics and supply chain activities is essential to supply chain parties, while a number of regulations, standards and operational constraints are considered in daily operations. In recent years, pallet pooling has been unconventionally advocated to manage pallets in a closed-loop system to enhance the sustainab...
For companies to gain competitive advantage, an effective customer relationship management (CRM) approach is necessary. Based on customer purchase behaviour and ordering patterns, companies can be classified into different categories in terms of providing customised sales and promotions for customers. However, companies that lack an effective CRM s...
Scene text detection has become an important research topic. It can be broadly applied to much industrial equipment, such as smart phones, intelligent scanners, and IoT devices. Many existing scene text detection methods have achieved advanced performance. However, text in scene images is presented with differing orientations and varying shapes, re...
As important immune cells in the human body, white blood cells play a very significant role in the auxiliary diagnosis of many major diseases. Clinically, changes in the number and morphology of white blood cells and their subtypes are the prediction index for important, serious diseases, such as anaemia, malaria, infections, and tumours. The appli...
This book gathers high-quality papers presented at the 5th International Conference on Intelligent Computing, Communication & Devices (ICCD 2019), held in Xi'an, China on November 22–24, 2019. The contributions focus on emergent fields of intelligent computing and the development of a new generation of intelligent systems. Further, they discuss vir...
Amid the coronavirus outbreak, many countries are facing a dramatic situation in terms of the global economy and human social activities, including education. The shutdown of schools is affecting many students around the world, with face-to-face classes suspended. Many countries facing the disastrous situation imposed class suspension at an early s...
The increasing need for improving the utilisation of existing nursing staff and better workload distribution has made nursing staff demand modelling and nurse scheduling critical. However, both rely on human experience, often leading to ineffective planning. This study describes the use of cloud computing together with mobile devices for planning t...
In recent years, conventional artificial method leads to low efficiency in the classification of cervical cell, which requires professional completion. Therefore, the classification process is increasingly dependent on artificial intelligence. The traditional image classification method needs to extract a large number of features. Redundant feature...
New product development to enhance companies’ competitiveness and reputation is one of the leading activities in manufacturing. At present, achieving successful product design has become more difficult, even for companies with extensive capabilities in the market, because of disorganisation in the fuzzy front end (FFE) of the innovation process. Tr...
With the rapid spread of the pandemic due to the coronavirus disease 2019 (COVID-19), the virus has already led to considerable mortality and morbidity worldwide, as well as having a severe impact on economic development. In this article, we analyze the state-level correlation between COVID-19 risk and weather/climate factors in the USA. For this p...
With the rapid growth of perishable food e-commerce businesses, there is a definite need for logistics services providers to manage parcel shipments with multi-temperature requirements. E-commerce characteristics, including time-critical delivery, fragmented orders, and high product variety, should be further considered to extend the ontology of mu...