Pei-Wei Tsai

Swinburne University of Technology · Department of Computer Science and Software Engineering

Sustainable freight transportation is one of the essential concepts in the smart city. Under this concept, many people connected with mobile devices produce location data and potential opportunities for transporting small objects in a more environmentally friendly and sustainable way. Crowdshipping, which utilises public people as transportation, i...

Smart city seeks safer, resource-oriented, environment friendly, and cost-effective energy solutions, and due to the distributed and independent nature of energy management systems, Energy Smart Grid (ESG) quickly evolves from a widely accepted concept to an industrial reality. To monitor the energy consumption across various domains and assist eff...

Identifying the right accessories for installing the dental implant is a vital element that impacts the sustainability and the reliability of the dental prosthesis when the medical case of a patient is not comprehensive. Dentists need to identify the implant manufacturer from the x-ray image to determine further treatment procedures. Identifying th...

Ontology presents a field knowledge by defining the meaning of domain concepts and relations among them. To conduct the inter-operability between two heterogeneous ontologies, we need to determine a number of entity correspondences, the so-called Ontology Matching (OM). Traditional OM techniques dedicate to find the simple correspondences which can...

Smart Environment (SE) focuses on the initiatives for healthy living, where ecological issues and biodiversity play a vital role in the environment and sustainability. To manage the knowledge on ecology and biodiversity and preserve the ecosystem and biodiversity simultaneously, it is necessary to align the data entities in different ecology and bi...

To integrate massive amounts of heterogeneous biomedical data in biomedical ontologies and to provide more options for clinical diagnosis, this work proposes an adaptive Multi-modal Multi-Objective Evolutionary Algorithm (aMMOEA) to match two heterogeneous biomedical ontologies by finding the semantically identical concepts. In particular, we first...

To address the heterogeneity problem of sensor data, it is necessary to conduct the Sensor Ontology Matching (SOM) process to find the mappings among diverse sensor data with the same semantics connotation. Currently, many Multi-Objective Evolutionary Algorithms (MOEAs) have been used to match the ontologies, which aim at finding a set of solutions...

Data heterogeneity is the obstacle for the resource sharing on Semantic Web (SW), and ontology is regarded as a solution to this problem. However, since different ontologies are constructed and maintained independently, there also exists the heterogeneity problem between ontologies. Ontology matching is able to identify the semantic correspondences...

Evolutionary algorithm is one of the optimization techniques. Cat swarm optimization (CSO)-based algorithm is frequently used in many applications for solving challenging optimization problems. In this paper, the tracing mode in CSO is modified to reduce the number of user-defined parameters and weaken the sensitivity to the parameter values. In ad...

Literature Based Discovery (LBD) aims at building bridges between existing literatures and discovering new knowledge from them. Biomedical ontology is such a literature that provides an explicit specification on biomedical knowledge, i.e., the formal specification of the biomedical concepts and data, and the relationships between them. However, sin...

Vehicle-to-vehicle communication and probabilistic broadcast are important means for information dissemination in vehicular ad-hoc networks (VANETs). In contrast to static ad-hoc networks, high-speed mobility makes wireless connection between two vehicles intermittent. Nevertheless, some kinds of information do not rely on continuous connection for...

Special Issue on: Artificial Intelligence of Things (AIoT): Technologies and Applications Which will be published at the journal of Wireless Communications and Mobile Computing https://www.hindawi.com/journals/wcmc/about/ (The Wiley Hindawi publishing partnership). This special issue aim to cover topics and applications of AIoT (Artificial Intelli...

Location-based services are widely used in mobile applications, which not only bring convenience, but also cause serious privacy concerns. Based on the characteristics of social network, this work proposes a cooperative protection architecture to model the relationship among users, communities and location-based service. Furthermore, in order to co...

The fundamental utility of the Large-Scale Visual Sensor Networks (LVSNs) is to monitor specified events and to transmit the detected information back to the sink for achieving the data aggregation purpose. However, the events of interest are usually not uniformly distributed but frequently detected in certain regions in real-world applications. It...

The book presents selected papers from the Fifteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the Twelfth International Conference on Frontiers of Information Technology, Applications and Tools, held on July 18–20, 2019 in Jilin, China. Featuring the latest research, it provide...

This research presents an optimization problem associated with scheduling of unrelated parallel machines considering the simultaneous effects of start-time-related deterioration, position-related learning and sequence-related setup times, with the aim to achieve an optimized value for the mean weighted tardiness and power consumption minimization....

Data aggregation is one of the essential and fundamental processes in Wireless Sensor Networks (WSNs). When and how to gather data from the sensors to the sink has a direct impact on the lifetime of the WSNs because the energy consumption is proportion to the frequency of data transmission. In general, sensors in a WSN are randomly distributed for...

The wireless sensor network (WSN) is a system containing the event detection and the data gathering abilities. The data gathering mechanism is the fundamental but important procedure in the WSN environment. The way of the data gathering majorly affects the efficiency of WSNs on retrieving data at the sink node. It is generally known that the cluste...

Open multidimensional data from existing sources and social media often carries insightful information on social issues. With the increase of high volume data and the proliferation of visual analytics platforms, users can more easily interact with and pick out meaningful information from a large dataset. In this paper, we present VisCrime, a system...

This book features papers presented at IIH-MSP 2018, the 14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The scope of IIH-MSP included information hiding and security, multimedia signal processing and networking, and bio-inspired multimedia technologies and systems. The book discusses subjects relat...

Forecasting is an important technique in many industries and business fields for reading the terrain. The category of technology industry stock, which includes 7 independent stocks, in Taiwan Stock Exchange (TWSE) is selected to be the study subject in this paper. The goal is to forecast the return index of the individual stocks base on the informa...

In this study, we focus on analysing the relationship between the foreign exchange rate and the international tourism flow. Three foreign exchange rate forecasting models including GARCH(1,1), EGARCH(1,1), and the IABC forecasting model based on the computational intelligence are employed to produce the forecasting results. The Mean Absolute Percen...

Data gathering is a fundamental task in Wireless Visual Sensor Networks (WVSNs). Features of directional antennas and the visual data make WVSNs more complex than the conventional Wireless Sensor Network (WSN). The virtual backbone is a technique, which is capable of constructing clusters. The version associating with the aggregation operation is a...

Energy saving and effective utilization are an essential issue for wireless sensor network. Most previous cluster based routing protocols only care the relationship of cluster heads and sensor nodes but ignore the huge difference costs between them. In this paper, we present a routing protocol based on genetic algorithm for a middle layer oriented...

Monkey King evolutionary algorithm (MKEA) is a new type and innovation of gene method that can be more effective evolution of the algorithm to reach goal or objective function. In this study and research is applied the monkey king evolutionary algorithm is used to apply the evolutionary particle to find the optimal power flow of system and calculat...

This volume includes papers presented at IIH-MSP 2017, the 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, held on 12–15 August 2017 in Matsue, Shimane, Japan. The conference covered topics ranging from information hiding and security, and multimedia signal processing and networking, to bio-inspired...

This volume includes papers presented at IIH-MSP 2017, the 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, held from 12 to 15 August 2017 in Matsue, Shimane, Japan. The conference addresses topics ranging from information hiding and security, and multimedia signal processing and networking, to bio-i...

The basic K-center problem is a fundamental facility location problem. Given n vertices with some distances, one wants to build k facilities in different vertices, so as to minimize the maximum distance from a vertex to its corresponding facility. This problem is known as the NP-hard problem, and grouping sensor nodes into a cluster is an important...

The most recent return in the investment is one of the most popular element that investors take into consideration because of its fast and direct return characteristic. With the ongoing discussion about stock portfolio design, we construct the investment model by two phases and draw an analogy in this research. The first step is using ISCI in selec...

Unwanted convergence to a local optimum, rather than global optimum, is possible to take place in practical multimodal optimization problems. Communication between artificial agents in the stochastic algorithms is one of the solutions to this issue. This paper proposes a novel parallel optimization algorithm, namely FDA, based on the communication...

The present study adopted a differentiated instruction method to non-English majors at a university. An e-learning system was used as a support system for the students to check homework answers and to upload assignments. In addition, an assignment was distributed after a midterm examination to encourage the undergraduates to practice with online ma...

On the basis of our former work based on Compact Evolutionary Algorithm (CEA), in this paper, we introduce parallel technology into Compact Evolutionary Algorithm (CEA), and design an Parallel Compact Evolutionary Algorithm (PCEA) based ontology matching technology to further improve the efficiency of solving the ontology meta-matching problem. Com...

This work focuses on the NTD/USD exchange rate and the Monitoring Indicator in years of 2006 to 2010 to forecast the foreign exchange rate via Time-series models including GARCH (1,1) and EGARCH (1,1), and a computational intelligence model called IABC. In order to compare the rate forecasting ability of these models, the MAPE is consecutively appl...

This paper proposes an approach for liver segmentation, depending on Antlion optimization algorithm. It is used as a clustering technique to accomplish the segmentation process in MRI images. Antlion optimization algorithm is combined with a statistical image of liver to segment the whole liver. The segmented region of liver is improved using some...

Today organizations are deeply involved in the Big Data era as the amount of data has been exploding with un-predictable rate and coming from various sources. To process and analyze this massive data, privacy is a major concern together with utility of data. Thus, privacy preservation techniques which target at the balance between utility and priva...

Taiwan is an isolated island located in the south East Asia. Since Taiwan is lack of nature resources, thus, a huge part of the economy is export-oriented. To stimulate the economy to grow and activate the international trading, the Free Trading Agreement (FTA) is an activator to allow larger quantity of trading over the world. The foreign exchange...

Modeling human actions in a format that is suitable for computer systems to understand is a target for behavior analysis systems. This work introduces a high level design for a behavioral analysis system based on action sequences. The design is introduced in terms of process modeling. System processes are presented in terms of a set of data flow di...

A wireless sensor network is a sensing system composed of a few or thousands of sensor nodes. These nodes, however, are powered by internal batteries, which cannot be recharged or replaced, and have a limited lifespan. Traditional two-tier networks with one sink node are thus vulnerable to communication gaps caused by nodes dying when their battery...

In this paper, a soft computing method, a probability theory, and a graph theoretic approach are utilized to describe this phenomenon. Uncertain random spectra, namely, natural tenacity, are established in this paper for assessing the survivability of MWSNs. We propose an elaborate mathematical formulation that relates the survivability to the natu...

Stacking storage structure has to be used in profile automated warehouse, which results that the above ones of a rack must to be removed before the rack moving. So the delay of the procedure increases. Aiming at the problem, we firstly defined the mixing-degree of the whole stacking-storage as an important indicator of warehouse wholeness, which ca...

Wireless Sensor Network (WSN) is widely used for the data gathering, especially for environmental monitoring. However, since the sensors are resources limited, energy saving and lifetime prolonging become more and more important. In this paper, we focus on the cluster and network coding based data aggregation for the area monitoring. At first, an e...

Now warehousing & logistics industry develops rapidly with the B2C, C2C economy. However, traffic congestion, network disruption and segmentation inevitably appear, always with data loss in logistics information system, which makes warehousing & logistics scheduling more difficult. Delay and disruption tolerant networking (DTN) can moderate it. So...

In order to support semantic inter-operability in many domains through disparate ontologies, we need to identify correspondences between the entities across different ontologies, which is commonly known as ontology matching. One of the challenges in ontology matching domain is how to select weights and thresholds in ontology aligning process in ord...

This volume of Smart Innovation, Systems and Technologies contains accepted papers presented in IIH-MSP-2016, the 12th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The conference this year was technically co-sponsored by Tainan Chapter of IEEE Signal Processing Society, Fujian University of Technology...

This volume of Smart Innovation, Systems and Technologies contains accepted papers presented in IIH-MSP-2016, the 12th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The conference this year was technically co-sponsored by Tainan Chapter of IEEE Signal Processing Society, Fujian University of Technology...

Taiwanese economy is extremely export-oriented. However, Taiwan also starts to actively look for opportunities for participation, because of the slowdown of multinational liberalizations, and as a result of the advance of the regional economic integration trend. As an example, Taiwan vigorously participates in FTAs with countries in Asia and Centra...

Finding an alternative renewable energy source instead of using traditional energy such as electricity or gas is an important research trend and challenge. This paper presents a new hybrid algorithm that uses Krill Herd (KH) optimization algorithm and Adaptive Neuro-Fuzzy Inference System (ANFIS) to be able to fit for wind speed forecasting, which...

Modeling human actions in a format that is suitable for computer systems to understand is a target for behavior analysis systems. This work introduces a high level design for a behavioral analysis system based on action sequences. The design is introduced in terms of process modeling. System processes are presented in terms of a set of data flow dia...

This paper presents an adaptive approach based on chicken swarm optimization algorithm (ACSO) for community detection problem in complex social networks. The proposed approach is able to define dynamically the number of communities for complex social network. The basic chicken swarm algorithm by its nature is continuous which can’t fit for communit...

Starting from the mid-20th century, Taiwanese economy is extremely exportoriented due to the lack of natural resources. To ensure the growing of the economy, Taiwan government keeps actively looking for opportunities for participation in the world economic system to avoid the slowdown of multinational liberalization. As one example, Taiwan vigorous...

In this paper, the evolved bat algorithm is improved by replacing the fixed value, which is determined by the media, with the periodic signal. The familiar periodic signal exists in the natural environment is the sine/cosine signal. We take the cosine signal in our design of improving the searching capacity of the evolved bat algorithm. Three test...

In this paper, a mixture signal, which is composed of a periodical signal and an increasing level Direct Current (DC) signal, is used in this paper to amplify the diversity brought to the artificial agents in Evolved Bat Algorithm (EBA). In order to test the accuracy on finding the near best solutions, three test functions with known global optimum...

In this paper, an idea of utilizing the directional information to guide the artificial agents in the searching process is led in to the Evolved Bat Algorithm (EBA). By properly using the directional information, the guided artificial agents can present higher searching accuracy than the agents in the conventional EBA. The advantage of our proposed...

In this paper, we propose a hybrid evolutionary algorithm based on a new elitist strategy to address the problem of optimizing the multiple ontology alignments simultaneously. Comparing with the conventional approach, our method is able to deal with multiple pair of ontologies at a time, and through a new elitist strategy, avoid the bias improvemen...

An analytical solution is undertaken to describe the wave-induced flow field and the surge motion of a permeable platform structure with fuzzy controllers in an oceanic environment. In the design procedure of the controller, a parallel distributed compensation (PDC) scheme is utilized to construct a global fuzzy logic controller by blending all loc...

Existing methods used in the foreign exchange rate forecasting are mostly in the branch of the time series methods. The time series models usually do not focus on the short-term forecasting, but the chronic forecasting. Models for the short-term forecasting still remains blank. In addition, conventional foreign exchange rate forecasting methods onl...

Ontology is constructed or researchers to overcome the heterogeneous problem in a domain, but merely using ontology may raise the heterogeneous problem to a higher level. To solve the heterogeneous problem between two ontologies, it is necessary to determine the relationships that hold between the entities in them. The process of finding these corr...

In this paper, GARCH, EG ARCH and GJR models are used to fit the volatilities of stock returns for two markets in China, namely, the Shanghai Stock Exchange (SSE) and the Shenzhen Stock Exchange (SZSE) in both the developing and the developed stages. We also compare the performance of the volatilities and the leverage effects both across and within...

A Wireless Sensor Networks (WSNs) system is composed of sensors, which are capable of producing data by sensing the environment and transmit the data through the network back to the data process center. Because there are various kinds of attacks and energy exhausted, coverage loopholes is easy appeared in wireless sensor networks. Repairing of the...

This paper deals with the problem of the global stabilization for a class of tension leg platform (TLP) nonlinear control systems. It is well known that, in general, the global asymptotic stability of the TLP subsystems does not imply the global asymptotic stability of the composite closed-loop system. Finding system parameters for stabilizing the...

Evolved Bat Algorithm (EBA) is one of the optimization method in swarm intelligence published in recent years. However, the searching ability of the artificial agents are sometimes limited from its original design. To overcome this drawback, a mixture signal composed of a periodical signal and a level linearly decreased Direct Current (DC) signal i...

The deployment problem (DP) of a wireless sensor network (WSN) is no doubt a critical issue because the strategies it takes will not only strongly impact the overall performance but also the power consumed by the sensors in such a system. This means that a good solution to the deployment problem (DP) cannot just “enhance its performance,” it can al...

It is known that sensor nodes equipped with limited battery power in wireless sensor network, the sensor network will paralyze if sensor node run out of its energy. Therefore energy awareness is an essential consideration for wireless sensor network. Recent advances in wireless sensor networks have led to many new protocols specifically for saving...

The wireless sensor network (WSN) is composed of a set of sensor nodes. It is deemed suitable for deploying with large-scale in the environment for variety of applications. Recent advances in WSN have led to many new protocols specifically for reducing the power consumption of sensor nodes. A new scheme for predetermining the optimized routing path...

The diversity created during the searching process in swarm intelligence algorithms plays an important part that affects the exploration ability. The searching result can be further improved if the algorithm gives consideration to both the exploitation and the exploration. In this paper, the evolved bat algorithm is improved by replacing the fixed...

This study presents a kind of fuzzy robustness design for nonlinear time-delay systems based on the fuzzy Lyapunov method, which is defined in terms of fuzzy blending quadratic Lyapunov functions. The basic idea of the proposed approach is to construct a fuzzy controller for nonlinear dynamic systems with disturbances in which the delay-independent...

Investment portfolio construction is always a popular issue for the investors. In this paper, we utilize Investment Satisfied Capability Index (ISCI) to sieve out the potential candidate stocks and then use Evolved Bat Algorithm (EBA) to construct the portfolio for stock investment. Three years historical daily Return on Investment (ROI) data from...