W.H. Ip

• LLB, MBA, MSc, PhD
• Professor Emeritus at University of Saskatchewan

Undoped and Ga-doped indium oxide nanowires are synthesized by chemical vapor deposition methods. And single nanowire devices are fabricated by micro-nano processing technology. The electrical and optoelectronic properties of the single undoped and Ga-doped indium oxide nanowire devices are studied. When the undoped and Ga-doped indium oxide nanowi...

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...

With the development of the Internet, people are surrounded by various types of information daily, including obscene videos. The quantity of such videos is increasing daily, making the detection and filtering of this information a crucial step in preventing its spread. However, a significant challenge remains in detecting obscene information in obs...

Identifying drugs from surveillance or other videos presents challenges such as small target sizes, class imbalance, and similarities to other objects. Additionally, the hardware used to capture videos and the video resolution and clarity limit model scalability, leading to poor detection accuracy in traditional models. To address this issue, we pr...

In the face of extreme weather conditions, airport closures, or other circumstances, airlines often experience disruptions to their flight schedules, leading to the frequent operational challenge of disrupted flight recovery. The foundational model for disrupted flight recovery aims to recover as many flights as possible with minimal costs, typical...

Recently, China and the United States have achieved remarkable success in aerospace science and technology over the years. Space has become another field of competition in the technological advancement of various countries. Through space missions, space tourism, moon and Mars exploration, China and the United States can demonstrate the sophisticati...

The use of AI, robots, IoT systems and theories in the design and development of spacecraft, operation of space systems, and their related technologies are known as space informatics. This book relates to state-of-the-art space informatics with metaverse technologies and their integration. It also outlines the latest research and cutting-edge space...

The intricacies of air traffic departure scheduling, especially when numerous flights are delayed, frequently impede the implementation of automated decision-making for scheduling. To surmount this obstacle, a mathematical model is proposed, and a dynamic simulation framework is designed to tackle the scheduling dilemma. An optimization control str...

To control an intelligent system in an unstructured environment, it is desirable to synergize human's and machine's intelligence to deal with changes and uncertainty cost-effectively. A shared control takes the advantages of human's and computers' strengths in decision-making supports, and this helps to improve adaptability, agility, reliability, r...

Violence is a serious threat to societal health; preventing violence in airports, airplanes, and spacecraft is crucial. This study proposes the Violence-YOLO model to detect violence accurately in real time in complex environments, enhancing public safety. The model is based on YOLOv9’s Generalized Efficient Layer Aggregation Network (GELAN-C). A m...

The rapid development of the Internet has facilitated expression, sharing, and interaction on social networks, but some speech may contain harmful discrimination. Therefore, it is crucial to classify such speech. In this paper, we collected discriminatory data from Sina Weibo and propose the improved Synthetic Minority Over-sampling Technique (SMOT...

In order to improve the country’s comprehensive national strength and seize space resources, the implementation of new space systems requires the use of advanced technology in key applications of microelectronics. To further improve device performance, black phosphorus (BP) is used to overcome feature size limitations for its atomic thickness. BP h...

Supply chains all around the globe have experienced unprecedented disruptions such as the COVID-19 pandemic, extreme weather events, industrial mishaps, political conflicts, and war. In response to these disruptions, supply chains have implemented various strategies. However, as the global supply chain industry encompasses a wide range of activitie...

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...

In this paper, the concept of Sustainable Manufacturing (SM) is discussed, and the focus is put on the elimination of wastes in a product’s life cycle. Recent development on enabling technologies to advance SM are surveyed to identify promising research areas. We have found virtual Verification and Validation (V&V) should be promoted to enhance t...

Sustainability issues have been seen as a promising paradigm for achieving a better future. Firms in the logistics service sector are still lacking clear value propositions on sustainable development. While many organizations publish their mission statements publicly as kinds of public information, reviewing mission statements is an appropriate mea...

Modeling the interactions between users and items to accurately predict a user preference on items is very crucial for improving the performance of recommendation. Although existing graph-based methods have achieved great progress in predicting a user preference for recommendation, they usually need additional side information which is difficultly...

Space vehicles such as missiles and aircraft have relatively long tracking distances. Infrared (IR) detectors are used for small target detection. The target presents point target characteristics, which lack contour, shape, and texture information. The high-brightness cloud edge and high noise have an impact on the detection of small targets becaus...

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...

With the development of smart agriculture, deep learning is playing an increasingly important role in crop disease recognition. The existing crop disease recognition models are mainly based on convolutional neural networks (CNN). Although traditional CNN models have excellent performance in modeling local relationships, it is difficult to extract g...

Fault diagnosis is crucial for repairing aircraft and ensuring their proper functioning. However, with the higher complexity of aircraft, some traditional diagnosis methods that rely on experience are becoming less effective. Therefore, this paper explores the construction and application of an aircraft fault knowledge graph to improve the efficien...

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...

When an aircraft malfunctions, quickly and accurately identifying the faulty unit is essential for ensuring normal operation. Unfortunately, maintenance engineers often struggle to acquire the necessary fault-related knowledge due to poor management and utilization of aircraft fault documents. To address this issue, we introduce knowledge graph tec...

China’s Belt and Road Initiatives (BRI) is an ambitious infrastructure project conceived in 2013 by President Xi Jinping with development and investment initiatives stretching from Asia and Europe that reflect the original Silk Road with business networks through countries such as Afghanistan, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and U...

So far, no research has used the partial order algorithm for the mining of hospital medical technology. This paper proposed a novel knowledge discovery method of hospital medical technology based on partial ordered structure diagrams, constructed attribute partial ordered structure diagram and object partial ordered structure diagram for the formal...

In this work, we propose a road pavement damage detection deep learning model based on feature points from a local minimum of grayscale. First, image blocks, consisting of the neighborhood of feature points, are cut from the image window to form an image block dataset. The image blocks are then input into a convolutional neural network (CNN) to tra...

Aspect-oriented Fine-grained Opinion Extraction (AFOE) aims to extract the aspect terms, corresponding opinion terms and sentiment polarity in a target sentence. Most previous methods treat AFOE as word-level or span-level task, which ignore the complementarity of these two tasks. To integrate the merits of word-level and span-level information, we...

Due to the intensified environmental protection consciousness of enterprises and consumers, the green winner determination (GWD) considering environmental performance becomes very important for the 4PL transportation service procurement. In this paper, a new GWD method is studied, which considers different types of attributes including those relate...

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...

Intification of geological salient landforms is a primary requirement for spacecraft motion estimation and obstacle avoidance. As a large volume of high-resolution images are acquired by the Mars Reconnaissance Orbiter, growing number of approaches are proposed to develop automated approaches to detect a particular landform on Mars. However, most e...

Space research is of great significance to increasingly decentralized and distributed space systems, and path planning in space systems has become a research hotspot for maintaining its safety, security, and reliability. To explore the passable path connecting the starting point and the target point, and optimize a smooth trajectory that can be tra...

The papers in this special section focus on industrial information integration in space applications. With continuous growth in the complexity, scale, and dynamics of space systems, information integration (II) becomes an essential strategy for managing system complexity and tackling dynamic changes and uncertainties in space missions. Space II (SI...

Modeling the interactions between users and items to accurately predict ratings is very crucial for improving the performance of recommendation. Although existing graph-based methods have achieved great progress in predicting ratings for recommendation, they usually need additional side information which is difficultly obtained, and ignore the temp...

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...

E-commerce marketing forces are taking advantage of microblogs to deliver their advertisements to promote product information. The success of product information diffusion in microblog depends greatly on user behaviors -- browsing, commenting and reposting. In this paper, we divide user behaviors of Sina Weibo into four types corresponding to four...

Fruit usually plays a vital role in people's daily life. Many kinds of fruits are rich in vitamins and trace elements, which have high edible value. Pests and diseases are a considerable problem in the process of fruit planting. The quality and quantity of fruit can be effectively improved by the detection and preventing pests and diseases. However...

This paper aims to present a comprehensive survey on information integration (II) in space informatics. With an ever-increasing scale and dynamics of complex space systems, II has become essential in dealing with the complexity, changes, dynamics, and uncertainties of space systems. The applications of space II (SII) require addressing some distinc...

The rise of the Internet has created a need to secure verification for accessing the certain information. The cloud based biometric system can provide a convenient way to realize it. In recent years, various Artificial Intelligence models have been researched for single b iometric but rare for multi-modal biometric. This article presents new a mult...

This paper examines the environmental impact produced by multi-vehicle transportation on a sustainable supply chain (SC) network. The relevance of green principles is gaining momentum day by day, which has forced the governments to introduce carbon emission schemes for the transportation associated with the firms. Various countries around the globe...

In the world of social networking, consumers tend to refer to expert comments or product reviews before making buying decisions. There is much useful information available on many social networking sites for consumers to make product comparisons. Sentiment analysis is considered appropriate for summarising the opinions. However, the sentences poste...

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...

Defect detection is one of the important issues for preventive maintenance in many industries, particularly in aviation to ensure safety. Continuous safety checks during the in-service inspection guarantee the safety of an aircraft and spacecraft and defect detection are usually done by experienced engineers. Recently, the autonomous inspection sys...

High-tech industries promote the combination of technology and innovation, with many successful products developed through innovative ideas. In the high-tech industry, product performance is usually indicated by product innovation, product design, and product reliability. The development of space equipment involves high-tech industries. This articl...

Aiming at the demand for rapid detection of highway pavement damage, many deep learning methods based on convolutional neural networks (CNNs) have been developed. However, CNN methods with raw image data require a high-performance hardware configuration and cost machine time. To reduce machine time and to apply the detection methods in common scena...

With the rapid growth of cloud computing, efficient operational optimization and resource scheduling of complex cloud business processes rely on real-time and accurate performance prediction. Previous research on cloud computing performance prediction focused on qualitative (heuristic rules), model-driven, or coarse-grained time-series prediction,...

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...

Aspect-oriented Fine-grained Opinion Extraction (AFOE) aims to extract the aspect terms, corresponding opinion terms and sentiment polarity in a target sentence. Most previous methods treat AFOE as word-level or span-level task, which ignore the complementarity of these two tasks. To integrate the merits of word-level and span-level information, we...

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...

This book discusses an emerging area in computer science, IT, and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision making for cross-platforms that contain heterogeneous data assoc...

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...

Simultaneous localization and mapping (SLAM) has become a well-established method for evaluating the motion of a mobile robot equipped with camera sensors. In this chapter, we discuss a new approach for implementing a Monocular SLAM system that can track the unconstrained motion of a single camera. This approach, modified Oriented FAST and Rotated...

With the popularization of satellite technology and the normal development of satellite use, the number of mission planning and operation of satellites has increased significantly, including large and intelligent satellites, as well as small and low-cost satellites. With the large-scale use of satellites, people’s demand for scheduling systems has...

Many satellites launched each year become inoperable ahead of time because of failing to enter their orbits. These satellites not only occupy precious orbital resources but also have a harmful effect on another spacecraft. Therefore, it is a hot research topic to clear such satellites or carry out on-orbit maintenance to extend the satellite life....

Colored Petri net (CPN) modeling method was widely used to describe resource type and execution logic in workflows. To facilitate the understanding, we introduced the development, classification and application of CPN. In the first part, a real-world case is from the Russian and Chinese interplanetary exploration named Phobos-Grunt space project wh...

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...

Property valuation is a complex issue that has always been the focal point for the real estate industry. The traditional valuation models used for appraisals cannot meet real-world demand anymore due to the improper processing of correlated information of nearby facilities. In this study, we propose a Spatial Neural Network (SNN) model, called Prop...

The rapid development of intelligent manufacturing provides strong support for the intelligent medical service ecosystem. Researchers are committed to building Wise Information Technology of 120 (WIT 120) for residents and medical personnel with the concept of simple smart medical care and through core technologies such as Internet of Things, Big D...

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...

The design and development of space instruments are considered to be distinct from that of other products. It is because the key considerations are vastly different from those that govern the use of products on planet earth. The service life of a space instrument, its use in extreme space environments, size, weight, cost, and the complexity of main...

Scheduling semiconductor wafer manufacturing systems has been viewed as one of the most challenging optimization problems owing to the complicated constraints, and dynamic system environment. This paper proposes a fuzzy hierarchical reinforcement learning (FHRL) approach to schedule a SWFS, which controls the cycle time (CT) of each wafer lot to im...

In recent years, deep learning has achieved remarkable results in the text-image retrieval task. However, only global image features are considered, and the vital local information is ignored. This results in a failure to match the text well. Considering that object-level image features can help the matching between text and image, this article pro...

With increasingly massive amounts of high-resolution images of Mars, automated detection of geological landforms on Mars has received widespread interest. It is significant for acquiring knowledge of distant planetary surfaces and processes, or manifold onboard applications such as spacecraft motion estimation and obstacle avoidance. This is a chal...

The development of Driverless Car, Unmanned Aerial Vehicle, Human–Computer Interaction and Artificial Intelligence has promoted the Internet of Things (IoT) industry, in which, Visual Simultaneous Localization and Mapping (VSLAM) is an important Localization and Mapping technique. Closed loop detection can alleviate the error accumulation during th...

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...

Emotion-Cause Pair Extraction (ECPE) is a prediction task aiming to extract the emotions and their corresponding causes in a target document. The existing methods for this problem mainly focus on modeling the dependence between emotion clauses and related cause clauses and the interaction among emotion-cause pairs. However, these methods ignore the...

Network design plays an essential role in logistics supply chain management. Under fourth-party logistics (4PL), an industry innovator mode helps to balance the service satisfaction of both suppliers and customers. In this study, this “balancing” advantage is investigated, and a novel network is proposed for 4PL platforms. Specifically, a mixed-int...

Cardiechema is a way to reflect cardiovascular disease where the doctor uses a stethoscope to help determine the heart condition with a sound map. In this paper, phonocardiogram (PCG) is used as a diagnostic signal, and a deep learning diagnostic framework is proposed. By improving the architecture and modules, a new transfer learning and boosting...