Chiou-Jye Huang

Chiou-Jye Huang
National Chi Nan University · Department of Electrical Engineering

Doctor of Engineering

About

131
Publications
24,003
Reads
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2,273
Citations
Additional affiliations
January 2018 - January 2021
Jiangxi University of Science and Technology
Position
  • Professor
September 2016 - January 2018
Beijing Institute of Technology
Position
  • Professor (Associate)
June 2011 - July 2016
Industrial Technology Research Institute
Position
  • Researcher

Publications

Publications (131)
Conference Paper
This paper develops a novel nonlinear backstepping design for the control of half-car active suspension systems to improve the inherent tradeoff between ride quality and suspension travel. Since ride quality depends on a combination of vertical displacement and angular displacement of the vehicle body, an active suspension controller must be able t...
Article
The study investigates a novel fuzzy feedback linearization strategy for control. The main contributions of this study are to construct a control strategy such that the resulting closed-loop system is valid for any initial condition with almost disturbance decoupling performance, and develop the feedback linearization design for some class of nonli...
Article
This paper describes the application of a road-adaptive nonlinear control integrated with active suspensions into a half-car model by employing road-adaptive algorithm schemes. We augment this controller with a road-adaptive algorithm which continuously monitors suspension travel and adjusts online the shape of the filter nonlinearity in response t...
Article
Full-text available
In aspect of the natural language processing field, previous studies have generally analyzed sound signals and provided related responses. However, in various conversation scenarios, image information is still vital. Without the image information, misunderstanding may occur, and lead to wrong responses. In order to address this problem, this study...
Article
Full-text available
Electricity load forecasting is one of the hot concerns of the current electricity market, and many forecasting models are proposed to satisfy the market participants’ needs. Most of the models have the shortcomings of large computation or low precision. To address this problem, a novel deep learning and data processing ensemble model called SELNet...
Article
The coronavirus disease 2019 pandemic continues as of March 26 and spread to Europe on approximately February 24. A report from April 29 revealed 1.26 million confirmed cases and 125 928 deaths in Europe. To refer government and enterprise to arrange countermeasures. The paper proposes a novel deep neural network framework to forecast the COVID-19...
Article
Full-text available
More parking systems are developing toward automatic identification (ID) and control, where infrared (IR) technology is a low-cost and the most used approach for data transmission and ID. However, interference is caused by sunlight or two neighboring vehicles in a conventional IR-sensor-based parking system; therefore, a new methodology using a spl...
Article
A Ubiquitous Power Internet of Things is fundamentally an Internet of Things, but focused upon power systems. Being able to predict these prices accurately may help with the identification of customer needs and the effective regulation of the power grid by power producers. It may also help electric power traders to manage risks, make correct decisi...
Preprint
Full-text available
The coronavirus disease 2019 pandemic continues as of March 26 and spread to Europe on approximately February 24. A report from April 29 revealed 1.26 million confirmed cases and 125 928 deaths in Europe. This study proposed a novel deep neural network framework, COVID-19Net, which parallelly combines a convolutional neural network (CNN) and bidire...
Preprint
Full-text available
COVID-19 is spreading all across the globe. Up until March 23, 2020, the confirmed cases in 173 countries and regions of the globe had surpassed 354,000, and more than 15,300 deaths had resulted. The confirmed cases outside of China had also reached over 81,000, with over 3,200 deaths. In this study, a Convolutional Neural Network (CNN) was propose...
Preprint
In the modern power market, electricity trading is an extremely competitive industry. More accurate price forecast is crucial to help electricity producers and traders make better decisions. In this paper, a novel method of convolutional neural network (CNN) is proposed to rapidly provide hourly forecasting in the energy market. To improve predicti...
Article
Full-text available
The computer is an important medium that allows people to connect to the internet. However, people with disabilities are unable to use a computer mouse and thus cannot enjoy internet benefits. Nowadays, there are various types of assistive technologies for controlling a computer mouse, but they all have some operational inconveniences. In this pape...
Article
Full-text available
With the fast expansion of renewable energy system installed capacity in recent years, the availability, stability, and quality of smart grids have become increasingly important. The renewable energy output forecasting applications have also been developing rapidly in recent years, and such techniques have particularly been applied in the fields of...
Article
Full-text available
In many industries and medical power system applications, dual power source design is often used to ensure that the equipment runs continuously, even when the main power supply is shut down. However, the voltage feedback between two independent power supplies and low loss output are critical issues for the system energy dissipation. Without using a...
Article
Full-text available
Most of the OBU (On Board Unit) devices of vehicles use MCU to control the infrared transmission and reception for the infrared-oriented parking systems. However, the more battery power of the OBU device will be dissipated. In this paper, a non-processor OBU device is proposed to reduce its standby power consumption. Besides, when the OBU device re...
Article
Full-text available
Theo Jansen linkage is an appealing mechanism to implement a bio-inspired motion for a legged robot. The oval orbit that is generated by the Theo Jansen linkage, possessing a transversal axis longer than a lateral axis, achieves energy efficient walking comparing to the circular orbit that is generated by the four-bar linkage. However, the ensemble...
Article
With the development of the concept of Industry 4.0, research relating to robots is being paid more and more attention, among which the humanoid robot is a very important research topic. The humanoid robot is a robot with a bipedal mechanism. Due to the physical mechanism, humanoid robots can maneuver more easily in complex terrains, such as going...
Article
Full-text available
To efficiently manage unstable wind power generation, precise short-term wind speed forecasting is critical. To overcome the challenges in wind speed forecasting, this paper proposes a new convolutional neural network algorithm for short-term forecasting. In this paper, the forecasting performance of the proposed algorithm was compared to that of f...
Article
Full-text available
In modern society, air pollution is an important topic as this pollution exerts a critically bad influence on human health and the environment. Among air pollutants, Particulate Matter (PM2.5) consists of suspended particles with a diameter equal to or less than 2.5 μm. Sources of PM2.5 can be coal-fired power generation, smoke, or dusts. These sus...
Article
Full-text available
The power generation potential of a solar photovoltaic (PV) power generation system is closely related to the on-site solar radiation, and sunshine conditions are an important reference index for evaluating the installation of a solar PV system. Meanwhile, the long-term operation and maintenance of a PV system needs solar radiation information as a...
Article
Full-text available
Electricity price is a key influencer in the electricity market. Electricity market trades by each participant are based on electricity price. The electricity price adjusted with the change in supply and demand relationship can reflect the real value of electricity in the transaction process. However, for the power generating party, bidding strateg...
Article
Full-text available
The photovoltaic (PV) systems generate green energy from the sunlight without any pollution or noise. The PV systems are simple, convenient to install, and seldom malfunction. Unfortunately, the energy generated by PV systems depends on climatic conditions, location, and system design. The solar radiation forecasting is important to the smooth oper...
Article
Full-text available
One of the most important research topics in smart grid technology is load forecasting, because accuracy of load forecasting highly influences reliability of the smart grid systems. In the past, load forecasting was obtained by traditional analysis techniques such as time series analysis and linear regression. Since the load forecast focuses on agg...
Article
Full-text available
This paper endeavors to apply a novel intelligent damping controller (NIDC) for the static synchronous compensator (STATCOM) to reduce the power fluctuations, voltage support and damping in a hybrid power multi-system. In this paper, we discuss the integration of an offshore wind farm (OWF) and a seashore wave power farm (SWPF) via a high-voltage,...
Article
Thickness-dependent dielectric electrical and reliability characteristics of dense and porous low-k films were investigated in this study. Experimental results obtained using metal-insulator-silicon (MIS) structures reveal that the dielectric strength and dielectric breakdown time of low-k dielectric films are inversely proportional to the physical...
Article
The effects of different cleaning solutions and various immersion times on the physical, electrical, and reliability characteristics of dense and porous low-k dielectric films were investigated in this study. After immersing into a wet cleaning solution, both low-k dielectric films are needed to remove the physically-adsorbed water by a post-baking...
Article
The aim of this retrospective observational study is to evaluate the effectiveness and impact on glycemia of the administration of 10 gram glucose and 10 units insulin in treating hyperkalemia during living donor liver transplantation (LDLT). In LDLT, patients whose serum potassium exceeded 5.4 mEq/L and were treated with 10 gram glucose and 10 U r...
Article
Boron is a specific dopant used in semiconductor manufacturing, specifically for ultra-shallow junction (USJ) formation and stable SiGe stressed channel formation in advanced generation. Aggressive device scaling over the last decade led to precise implantation control requirements. In this paper, a non-destructive and fast technology for inline Bo...
Article
Background The study's purpose was to evaluate the effects of total removal of the asictes through laparotomy on the lung function of adult patients undergoing living donor liver transplantation. Basis Procedure One hundred eleven patients were reviewed retrospectively. Patients were grouped into 3 groups: GI had ascites <1000 mL, GII between 1000...
Article
Objective This study aimed to determine whether coronary vein size can serve as a predictor of hemodynamic instability during inferior vena cava clamping in living-donor liver transplantations. Methods Fifty-two patients' hemodynamic data before and after clamping were retrospectively analyzed and compared with the use of linear regression and rep...
Article
Full-text available
This study proposes an efficient approach for the model of photovoltaic systems power output by employing evolutionary programming algorithm schemes. The PV system power output is primarily influenced by the weather, the solar irradiance and the module temperature. The EP algorithm is employed for adjusting the optimal value of the fill factor to a...
Conference Paper
In this paper, an artificial immune based algorithm (AIA) is proposed for production scheduling of aluminum foil factory. The objective function is to minimize the total tardiness. The AIA algorithm has a systematic immune mechanism which mainly is built on the clonal selection and affinity maturation principles of the immune system. Machine-based...
Conference Paper
In general, company responds to customers' diversified needs, the necessity to make production system more versatile and flexible. The assembly line must change from fixed assembly lines to mixed-model assembly lines (MMAL). Because an assembly line is dynamic, and when system disturbance occur, rescheduling is necessary to adjust or regenerate an...
Article
This paper develops a decentralized approach using multi-agent based framework to solve the mixed-model assembly line problem. A three-level multi-agent system is proposed. Tabu search technique is applied in the line balancing process. A modified ranked positional weight is developed and used to produce the initial solution. And a restricted neigh...
Article
This research applies agent-based negotiation approach to construct a multi-agent-based framework and solve parallel machines rescheduling with eligibility. The proposed architecture comprises three types of agents: job agents, machine agents, and supervisor agent. The decision model is built in each job/machine agent for bid selection to ensure be...
Conference Paper
In order to disseminate photovoltaic (PV) technologies into remote rescue applications in Taiwan, a feasibility study on grid-tie PV System with battery back-up was done. A 3.2kWp back-up PV system has been installed in a remote police station (22°44'59.46"N, 120°43'38.83"E) located in the mountain region of southern Taiwan. In this paper, the desi...
Article
Full-text available
The paper deals with a novel fuzzy feedback linearization control of dynamic positioning marine vehicle with the almost disturbance decoupling performance. The main contribution of this study is to construct a controller such that the resulting dynamic positioning marine vehicle is valid for any initial and desired positions with the following char...
Article
This work presents a novel fiber-optic sensing system to measure the local air-volume (void) fraction of bubbly flows caused by breaking waves near a submerged breakwater. Initially, a sensing system with a single fiber-optic probe is developed to detect the local void fractions of bubbly flows. The rating curve between the time fraction ratio of t...
Article
This work presents a novel fiber-optic sensing system to measure the local air-volume (void) fraction of bubbly flows caused by breaking waves near a submerged breakwater. Initially, a sensing system with a single fiber-optic probe is developed to detect the local void fractions of bubbly flows. The rating curve between the time fraction ratio of t...
Article
This paper examined the impact of the number of thermal cycles and augmented strain on hot cracking in AZ31 and AZ61 magnesium alloy. Statistical analyses were performed. Following observation using a scanning electron microscope (SEM), an energy dispersive spectrometer (EDS) was used for component analysis. Results showed that AI content in magnes...
Article
Full-text available
Building integrated photovoltaic is an art and trend using PV module to replace building material on the outer wall. The semi-transparent c-Si PV module is installed to replace the tiled roof in this study. PV power generation prediction is follow with module performance, installation site and meteorological data. A simple model is created to simul...
Article
The first standard CMOS IC foundry flow is presented for the monolithic integration of MEMS sensor, analog readout circuit and wafer level capping on standard 0.18um 1P6M technology. The sensor and circuit parts are fabricated at first on the same 8″ substrate using a standard 0.18um 1P6M CMOS process. The sensor part is then micromachined and rele...
Article
This study aims to investigate how aluminum content in magnesium alloys AZ61 and AZ80 impacts the hot cracking susceptibility of magnesium alloys. Differences in aluminum content are known to influence the total crack length of hot cracking. Magnesium alloy AZ61's total crack length was the longest in one thermal cycle, while AZ80's total crack len...
Article
A novel method was proposed based on the binocular vision and the particle image gray difference(PIGD) method to measure simultaneously the particle velocity field and the particle size distribution in the liquid spray. The corresponding measuring hardware platform was built, the software system was developed, and the preliminary validating experim...
Article
The Thevenin equivalent circuits, voltage (current) gain and equivalent input (output) resistance play a very important role in electrical and electronic circuit analysis such as impedance matching effect and frequency responses of famous filters. This study has proposed a simple and unified algorithm for the determinations of the Thevenin equivale...
Article
This paper proposes a GA-based algorithm for flowshop scheduling problems (FSP) with multiple objectives which are makespan, total tardiness and total flow time. The algorithm analyzes the effects of crossover, intensification and diversification strategies in multi-objective genetic algorithms (MOGA). Firstly, OPX, 2PX, and SJOX crossover mechanis...
Article
Problem statement: Two methods for performance appraisal that are discussed in this study and they are Management By Objective (MBO) and Assessment Centre techniques. Employees are appraised for several reasons, the most important of which is to realize the best use of human resources and to plan for future needs; reward and punishment are secondar...
Article
In the present study, the bubble growth, departure and the following flow pattern evolution during flow boiling in the mini-tube were visualized and quantitatively investigated, along with the simultaneous measurement of the local heat transfer coefficient around a specified nucleation site. Liquid nitrogen was employed as the working fluid and the...
Article
In contrast with fully controllable systems, a super articulated mechanical system (SAMS) is a controlled underactuated mechanical system in which the dimensions of the configuration space exceed the dimensions of the control input space. The objectives of the research are to develop a novel SAMS model which is called beam–cart–seesaw system, and r...
Article
The study proposes a novel feedback linearization and almost disturbance decoupling control of nonlinear multiple-input-multiple-output (MIMO) systems. The goal of cancer immunotherapy is focused on eliciting an immune system response against the tumor. The study investigates a novel feedback linearization control strategy of nonlinear MIMO tumor-i...
Article
A novel tracking and almost disturbance decoupling problem of multi-input, multi-output (MIMO) nonlinear systems based on feedback linearization and a multi-layered feedforward neural network approach has been proposed. The feedback linearization and neural network controller guarantees exponentially global uniform ultimate bounded stability and al...