Chih-Yung Chang

• Tamkang University

With the extensive popularity of baseball, fans are eager to relive exciting moments such as strikeouts, catching, and home runs. However, manually extracting these highlights from long videos is time-consuming and labor-intensive. To address this, this paper introduces a mechanism called CCM (capturing captivating moments), which aims to effective...

Recently, violence detection systems developed using unified multimodal models have achieved significant success and attracted widespread attention. However, most of these systems face two critical challenges: the lack of interpretability as black-box models and limited functionality, offering only classification or retrieval capabilities. To addre...

Weakly Supervised Monitoring Anomaly Detection (WSMAD) utilizes weak supervision learning to identify anomalies, a critical task for smart city monitoring. However, existing multimodal approaches often fail to meet the real-time and interpretability requirements of edge devices due to their complexity. This paper presents TCVADS (Two-stage Cross-mo...

Deep learning has achieved remarkable success in processing and managing unstructured data. However, its "black box" nature imposes significant limitations, particularly in sensitive application domains. While existing interpretable machine learning methods address some of these issues, they often fail to adequately consider feature correlations an...

Recently, research based on pre-trained models has demonstrated outstanding performance in violence surveillance tasks. However, these black-box systems face challenges regarding explainability during training and inference processes. An important question is how to incorporate explicit knowledge into these implicit models, thereby designing expert...

Area coverage is a critical issue in wireless sensor networks ( WSNs ). Existing studies mainly used the Boolean Sensing Model ( BSM ) and battery-powered sensors with fixed sensing radius, potentially reducing network lifetime and monitoring quality. This paper proposes an area coverage algorithm called JMLA , which employs rechargeable sensor...

Energy recharging is one of the most important issues in wireless rechargeable sensor networks (WRSNs). Many energy-recharging algorithms have been proposed using multiple mobile chargers. However, the number of mobile chargers that significantly impact the network lifetime of the given WRSNs still can be improved. This paper proposes an energy rec...

With the increasing popularity of watching baseball videos, there is a growing desire among fans to enjoy the highlights of these videos. However, the extraction of the highlights from lengthy baseball videos faces a significant challenge due to its time-consuming and labor-intensive nature. To address this challenge, this paper proposes a novel me...

In Wireless Sensor Networks ( WSNs ), target coverage is a critical issue. Many existing studies have been proposed for constructing the target coverage, aiming to enhance the surveillance quality while extending the network lifetime. However, they predominantly utilize Boolean Sensing Model (BSM), which may lack accuracy. Additionally, these stud...

Recharging strategies for sensors within wireless sensor networks (WSNs) have emerged as a critical concern in recent years. Prior research has investigated harnessing energy from the ambient environment. However, due to environmental volatility, the reliability of such energy sources cannot be assured. Alternative approaches have utilized mobile c...

This paper mainly discusses the asymmetric face recognition problem where the number of names in a name list and the number of faces in the photo might not be equal, but each face should be automatically labeled with a name. The motivation for this issue is that there had been many meetings in the past. After each meeting, the participant took grou...

Restaurant Site Selection (RSS) plays a pivotal role in the success of launching a new restaurant. The core elements of RSS encompass foot traffic and the consumption capacity potential at prospective sites. Previous studies often relied on data gleaned from social media or the Internet, utilizing statistical or machine learning methods to predict...

The uncertainty of hand gestures, the variability of gestures across subjects, and the high cost of collecting a large amount of annotated data lead to a great challenge to the robust recognition of gestures, and thus it remains quite crucial to capture the informative features of hand movements and to mitigate inter-subject variations. To this end...

The wireless recharging technology of wireless sensor networks (WSNs) has received much attention in recent years. In literature, many studies assumed that the sensors are static and aimed to increase the number of recharged sensors and reduce the traveling path of the mobile charger. Since the given WSNs consisted of a large number of sensors whic...

Advances in wireless charging technology give great new opportunities for extending the lifetime of a wireless sensor network (WSN) which is an important infrastructure of IoT. However, the existing greedy algorithms lacked learning from the experiences of energy dissipation trends. Unlike the existing studies, this article proposes a reinforcement...

Document similarity recognition is one of the most important problems in natural language processing. This paper proposes a plagiarism comparison mechanism called JCF. Initially, the TF–IDF scheme is applied to build a bag of words as the representation of the common features of all documents. Then, the plagiarism comparison is carried out in a coa...

With radio frequency (RF), the mobile charger (MC) can wirelessly transmit energy to the sensor nodes in the network. The wireless energy transfer enhances the lifetime of sensor nodes in wireless rechargeable sensor networks (WRSNs). Most of the studies improved the efficiency of MC or perpetuated the lifetime of WRSNs. At the same time, none of t...

With the growing elderly population of the world population, the number of elderly people who live alone is continuously growing. Providing them with high-quality healthcare has become a major concern nowadays. In order to detect the elderly people’s sudden danger of elderly living alone, this paper proposes a path construction mechanism, called J...

This paper mainly discusses the asymmetric face recognition problem where the number of names in a name list and the number of faces in the photo might not be equal, but each face should be automatically labeled with a name. The motivation for this issue is that there had been many meetings in the past. After each meeting, the participant took grou...

Background: Tafamidis has been used for treatment of transthyretin cardiac amyloidosis (ATTR-CA). However, Tc-99 m pyrophosphate (PYP) cardiac scan for follow-up after tafamidis therapy has not been reported. Methods: From May 2017 to March 2022, five patients with or without tafamidis therapy had received two Tc-99 m PYP cardiac scans. Tc-99 m...

Introduction Kawasaki disease (KD) may increase the risk of myocardial infarction or sudden death. In children, delayed KD diagnosis and treatment can increase coronary lesions (CLs) incidence by 25% and mortality by approximately 1%. This study focuses on the use of deep learning algorithm-based KD detection from cardiac ultrasound images. Method...

This paper mainly discusses the asymmetric face recognition problem where the number of names in a name list and the number of faces in the photo might not be equal, but each face should be automatically labeled with a name. The motivation for this issue is that there had been many meetings in the past. After each meeting, the participant took grou...

With the help of wireless power transfer (WPT) technology, the mobile charger (MC) can transfer energy to the sensor nodes. This technology provides a new solution to prolong the lifetime of wireless rechargeable sensor networks (WRSNs). However, most of the existing studies focused on improving the charging efficiency or minimizing the latency whi...

PurposeThis study aimed to evaluate the performance of a therapeutic vibrating mesh-type nebulizer for the pulmonary delivery of radioaerosols for lung scintigraphy in healthy subjects.Methods Six healthy subjects (mean age of 28.7 ± 6.2 years) inhaled 2 mL Tc-99m diethylenetriaminepentaacetic acid and normal saline solution (20 mCi) via a therapeu...

Barrier coverage is a fundamental issue in wireless sensor networks (WSNs). Most existing works have developed centralized algorithms and applied the Boolean Sensing Model (BSM). However, the critical characteristics of sensors and environmental conditions have been neglected, which leads to the problem that the developed mechanisms are not practic...

In wireless sensor networks (WSNs), area coverage is an important issue that aims to schedule a minimal number of sensors to cover the given monitoring area without any hole. Many of the existing strategies investigated that sensors are battery powered and considered Boolean Sensing Model (BSM). However, BSM affects the actual sensing quality since...

In wireless rechargeable sensor networks ( WRSNs ), target coverage is an important issue. However, most studies assumed that the sensors were powered by battery with fixed sensing radiuses. Furthermore, most existing studies applied the Boolean Sensing Model ( BSM ) which cannot reflect the physical features of sensing. As a result, the detectio...

Semantic segmentation of remote sensing images plays a vital role in land resource management, yield estimation, and economic evaluation. Therefore, this paper proposes a multi-scale skip connection network with the Atrous convolution to deal with the segmentation problems of the multi-modal and multi-scale high-resolution remote sensing images. Fi...

This study aimed to evaluate the performance of a therapeutic vibrating mesh-type nebulizer for the pulmonary delivery of radioaerosols for lung scintigraphy in healthy subjects. Six healthy subjects (mean age of 28.7 ± 6.2 y) inhaled 2 mL of Tc-99m diethylenetriaminepentaacetic acid (DTPA) and normal saline solution (20 mCi) via the therapeutic vi...

Wireless recharging using a mobile charger has been widely discussed in recent years. Most of them considered that all sensors were equally important and aimed to maximize the number of recharged sensors. The purpose of energy recharging is to extend the lifetime of sensors whose major work is to maximize the surveillance quality. In a randomly dep...

Wireless charging is one of the most important issues in wireless sensor networks (WSNs), which aims to cope with the energy limitation problem of the sensors. Many of the existing researches applied the mobile charger to recharge the sensors for maintaining the perpetual lifetime of sensor networks. However, when choosing sensors to be recharged,...

The zero echo time (ZTE) technique has improved the detection of lung nodules in PET/MRI but respiratory motion remains a challenge in lung scan. We investigated the feasibility and performance of fractionated deep-inspiration breath-hold (FDIBH) three-dimensional (3D) ZTE FDG PET/MRI for assessing lung nodules in patients with proved malignancy. S...

Data collection is one of the most important issues in Wireless Sensor Networks (WSNs). Many data collection algorithms have been proposed for collecting data using multiple mobile sinks. However, the anchor selection strategy, which significantly impacts the network lifetime, still can be improved. In addition, the collaboration between multiple m...

McCune-Albright syndrome is a rare condition consisting of triad of fibrous dysplasia, hyperfunctioning endocrinopathy, and café au lait macules of skin. A 31-year-old man was diagnosed with fibrous dysplasia 18 years before presenting with pathologic fracture. No workup for polyostotic fibrous dysplasia was performed at that time. He now presented...

Barrier coverage problem is an important issue in wireless sensor networks (WSNs). Many solutions have been proposed for constructing a defense barrier aiming to maximize the surveillance quality while prolonging the network lifetime. However, most of them assumed that the sensor nodes are battery powered without considering the rechargeable sensor...

The power of end-to-end deep learning techniques to automatically learn latent high-level features from raw signals has been demonstrated in numerous application fields, however, few studies systematically investigate how to properly encode the time-series firings of binary environment sensors that typically work in an event-triggering scheme and h...

Data collection using mobile sink has received much attention in the past years. In the literature, most studies assumed that the mobile sink was controllable and the proposed algorithm made decisions to control the path, speed, and stop locations. However, there still exists some challenges in using the controllable mobile sink, including limited...

Barrier coverage aims at constructing defense barriers to detect the intruder crossing the predefined boundary in a given wireless sensor network. In literature, most studies considered the battery-powered sensors and applied the Boolean Sensing Model (BSM). The battery-powered sensors have the constraint of limited lifetime while the BSM will affe...

Advances in wireless sensor networks and increasing Internet-of-Things devices give great opportunities for smart homecare of the elderly. Smart homecare has been a promising issue and received much attention recently. Irregularity detection is one of the most important issues in smart homecare for assessing the health condition of the elderly. How...

Unmanned Aerial Vehicle (UAV) swarm networks have been presented as a promising paradigm for conducting monitoring, and inter-connecting tasks in unattended or even hostile environments. However, harsh deployment scenario may make the UAVs susceptible to large-scale damage, and thus degrades the connectivity and performance of the network. None of...

Data collection is one of the most important issues in Wireless Sensor Networks (WSNs). Many data collection algorithms have been proposed for collecting data using a mobile sink. However, the appropriateness and the number of the selected anchors, which significantly impact the network lifetime of the given WSNs, still can be improved. This paper...

In wireless sensor networks (WSNs), target coverage is an important issue which aims at finding a set of sensors to monitor the targets for maximizing both the surveillance quality and network lifetime. However, most of them assumed that each sensor is battery powered and the Boolean Sensing Model (BSM) is applied. Sensors powered by battery have a...

Data collection is one of the most fundamental and important operations in applications of wireless sensor networks (WSNs). Recent research has shown that using mobile sink to collect data brings many advantages to WSNs, such as improving energy efficiency of sensor nodes and prolonging network lifetime. However, the limited speed of mobile sink le...

Barrier coverage problem is one of the most crucial issues in wireless sensor networks (WSNs) which have been applied to a wild range of applications. A lot of algorithms have been proposed to cope with this problem. However, the majority researches apply the Boolean Sensing Model (BSM) and the sensing frequency of the sensor is not considered, whi...

Data collection is one of the most important research topics in WSNs. In literature, many studies have proposed centralized solutions to cope with the data collection problem. However, most of them considered controllable mobile sink which is controlled by an algorithm to determine its speed, path, stop locations as well as the performed task. In f...

Barrier coverage is one of the most important issues in intruder detection applications. Visual sensors can give more accurate information of intruder but also raise the problem of large data volume for information exchange and processing. Constructing a disjoint full-view barrier using minimal number of visual sensors has been the main goal for ha...

Behavior identification plays an important role in supporting homecare for the elderly living alone. In literature, plenty of algorithms have been designed to identify behaviors of the elderly by learning features or extracting patterns from sensor data. However, most of them adopted probabilistic models or supervised learning to identify behaviors...

PET imaging agents have been wildly applied in oncology, neuroscience and cardiology. Recently, many research institutions and universities have devoted themselves into development of novel CNS-related PET imaging agents. Moreover, more and more attention has been paid on clinical application of PET imaging in neuroscience field, particularly for d...

Barrier coverage is an important issue aiming at finding a set of sensors from a given wireless sensor network for detecting the illegal crossing of a boundary. A large number of algorithms have been proposed for prolonging the network lifetime. However, most of them assumed that each sensor is battery powered and the Boolean Sensing Model (BSM) is...

Smart parking problems have received much attention in recent years. In literature, many smart parking allocation algorithms that considered the parking grid reservation and recommendation have been proposed. However, the parking policies for maximizing parking rate and benefits still can be improved. This paper proposes a smart parking allocation...

The irregularity detection of daily behaviors for the elderly is an important issue in homecare. Plenty of mechanisms have been developed to detect the health condition of the elderly based on the explicit irregularity of several biomedical parameters or some specific behaviors. However, few research works focus on detecting the implicit irregulari...

Smart parking is a common demand of citizen, especially for people living in a smart city. It is an important issue since it not only determines the required parking time of drivers but also impacts the urban population and traffic congestion. In this paper, an intelligent parking algorithm is presented based on the predictions of traffics and driv...

The inherent complexity of human physical activities makes it difficult to accurately recognize activities with wearable sensors. To this end, this paper proposes a hierarchical activity recognition framework and two different feature selection methods to improve the recognition performance. Specifically, according to the characteristics of human a...

Background Short imaging protocol to quantify myocardial blood flow (MBF) and myocardial flow reserve (MFR) may enhance the clinical application of ¹³N-ammonia cardiac PET. We assessed the flow quantitation of ¹³N-ammonia PET implementing simple retention model and two-compartment model. Methods Fourteen healthy volunteers (HVT) and twenty-three c...

In the last 3 decades, the development of positron emission tomography-computed tomography (PET-CT)/ positron emission tomography-magnetic resonance (PET-MR) scanners and the evolution of tumor-related radiopharmaceuticals give us valuable insights into the characteristics of each tumor, including metabolism, specific antigen expression, membrane p...

Data collection problems have received much attention in recent years. Many data collection algorithms that constructed a path and adopted one or more mobile sinks to collect data along the paths have been proposed in wireless sensor networks (WSNs). However, the efficiency of the established paths still can be improved. This paper proposes a coope...

A directional wireless sensor network (DWSN) consists of a number of directional sensors. Many types of directional sensors have been widely used in constructing a wireless sensor network for IoT applications. These types of sensors include infrared sensors, microwave sensors, ultrasonic sensors, cameras, and radar. Compared with an omni-directiona...

Activity recognition is an important step towards monitoring and evaluating the functional health of an individual, and it potentially promotes human-centric ubiquitous applications in smart homes particularly for senior healthcare. The nature of human activity characterized by a high degree of complexity and uncertainty, however, poses a great cha...

Barrier coverage is one of the most important issues in wireless sensor networks. In literature, many studies have proposed solutions to the barrier coverage problem. However, most of them discussed the traditional application which aimed for intruder detection and used the Boolean Sensing Model (BSM). In fact, the barrier coverage issue can be app...

Barrier coverage in the area of wireless sensor networks (WSNs) has received much attention in the past few years. To guarantee the competent monitoring quality of intruder detection, it is necessary that the barrier satisfies the k-barrier coverage. However, the efficient construction of the k-barrier whilst maximizing the network lifetime of a gi...

Data collection is one of the paramount concerns in wireless sensor networks (WSNs). Many data collection algorithms have been proposed for collecting data in particular monitoring regions. However, the efficiency of the paths for such data collection can be improved. This paper proposes an energy-aware path construction algorithm (EAPC), which sel...