Evaluation of The Economic Value of World Cultural Heritage

Yung Kun Chen,Tzu Yin Wu,Tsui Fang Hsieh,Chia You Chen 한국문화관광학회 2007 문화관광연구 Vol.9 No.2

Robust Optimal Adaptive Sliding Mode Control with the Disturbance Observer for a Manipulator Robot System

Kun-Yung Chen 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.4

In this paper, a robust optimal adaptive sliding mode control (OASMC) by using disturbance observer (DOB) is successfully proposed and applied in the manipulator robot system. The control gains are on-line adjusted by the DOB to compensate the unknown time-varying disturbances to optimize and stabilize the control system. The optimal control and sliding mode control are integrated based on the Lyapunov stability theory to obtain the optimal sliding mode control (OSMC). Then, the adaptation control gains are on-line adjusted by the DOB to compensate the unknown time-varying disturbances for the control system. The manipulator robot system is given as the control example to demonstrate the proposed OASMC. From the simulation results, the proposed OASMC successfully demonstrates the optimal, adaptive and robust control performances for the manipulator robot system. The novelty of this paper is that the DOB can correctly estimate the unknown time-varying disturbances to on-line adjust the control gain of OASMC to stabilize the manipulator robot system. The proposed OASMC simultaneously has optimal, adaptive and robust control characteristics.

EVALUATION OF THE ECONOMIC VALUE OF WORLD CULTURAL HERITAGE

Yung-Kun Chen,Tzu-Yin Wu,Tsui-Fang Hsieh,Chia-You Chen 세계문화관광학회 2007 Conference Proceedings Vol.8 No.0

This study attempts to assess the economic benefit of the Great Wall of China to tourists via contingent value method (CVM) and travel cost method (TCM). This study found that the economic benefit estimated via indirect observation data and CVM is US$12.49 and the economic benefit estimated via direct observation data and TCM is US$125.31. The recreational economic value for consumers is very high. Therefore, under the concept of sustainable resource development, the responsible agency is encouraged to enhance the core value of the Great Wall through developing its recreational value and preserving its cultural heritage.

Data Hiding for HTML Files Using Character Coding Table and Index Coding Table

( Yung-chen Chou ),( Ping-kun Hsu ),( Iuon-chang Lin ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.11

A data hiding scheme in HTML files is presented in this paper. Web pages are a very popular medium for broadcasting information and knowledge nowadays, and web pages are a good way to achieve the goal of secret message delivery because the different HTML coding codes will render the same screen in any of the popular browsers. The proposed method utilizes the HTML special space codes and sentence segmentation to conceal secret messages into a HTML file. The experimental results show that the stego HTML file generated by the proposed method is imperceptible. Also, the proposed method can conceal one more secret bit in every between-word location.

A Watermarking for HTML Files Based on Multi-channel System

Yung-Chen Chou,Iuon-Chang Lin,Ping-Kun Hsu 보안공학연구지원센터 2013 International Journal of Security and Its Applicat Vol.7 No.3

Integration of Independent Component Analysis with Near Infrared Spectroscopy for Evaluation of Tea Quality

( Yung-kun Chuang ),( Tsung-hsin Wu ),( I-chun Tung ),( Han-chun Hsu ),( Suming Chen ),( Chao-yin Tsai ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

Tea is a widely consumed drink among elderly people in Chinese population. The consumption is growing in different ages because of the founding of many handy-tea-drink stores in Taiwan. However, determination of tea quality is still mainly based on sensory evaluation, which lacks of objectivity in science. Near infrared (NIR) spectroscopy, a rapid nondestructive inspection method, has been widely applied for evaluation of internal quality of agricultural products. Because an NIR spectrum of a mixture on first approximation is the linear addition of individual spectra of the constituents in the mixture, such a spectrum thus can be regarded as an assembly of ‘blind sources’ as the proportion of constituents in the samples remains unknown. Independent component analysis (ICA), a multiuse statistical approach originally used to implement ‘blind source separation’ in signal processing, is capable of disassembling the mixture’s signals with only a small loss of information and does not require any additional information from the source. To date, ICA has not been applied to analysis of the internal quality of tea. Therefore, the objective of the current study was to examine internal quality of tea in terms of quantitative approaches using NIR spectroscopy combined with ICA technique. The internal quality-related indices of tea, including tea polyphenols (TP), free amino acids (FAA), water, and pH value were evaluated simultaneously. The results show that ICA with NIR has the potential to be adopted as an effective method for evaluating internal quality of tea.

A GPU-based Two Dimensional Flood Simulation System

Kuo-Chan Hung,Chih-Yung Feng,Kun-Huai Cheng,Pei-Cheng Tsao1,Hung-Kwai Chen 한국방재학회 2016 Journal of Disaster Management Vol.1 No.1

Abstract A GPU-based flood simulation system is developed in this research. The system comprises two main components: a GPU-lized two bdimensional flood simulation model named GLMRT and a web-GIS user interface. GLMRT is designed and constructed with following features. First, GLMRT is constructed based on Lattice Boltzmann method(LBM) and two dimensional shallow water equations. Second, GLMRT is combined with sink/source terms including excess rainfall and pump-like drainage. Third, a dry-wet boundary determining mechanism is considered in GLMRT. Fourth, real DEM data can be used in simulating water movement on the land surface. Finally, GPU accelerated technique is integrated into GLMRT to overcome the issue of time cost in calculation. The web-GIS based user interface is built based on cloud platform to assist data flow organization and real time simulation. The interface integrates real DEM data and receives precipitation estimation products from the Taiwan Typhoon and Flood Research Institute(TTFRI) and Central Weather Bureau(CWB). The simulation results would be displayed on the web-GIS via file and database transfer. Besides, a real time rendering technique based on real time simulation is developed, too. The real time rendering technique displays the simulation results via memory on GPU device and eliminates the time cost in data output. GLMRT solves a 800-second simulation of Zengwen Reservoir virtual dam break with 2,046x1,525 DEM grids (40 m resolution) within 140.11 seconds on the NVIDIA Tesla K20c. Compare to the 60,919 seconds computation time on the Intel?? Xeon?? CPU X5650 2.66GHz, the GLMRT gets a speedup of 438x. On the other hand, using GLMRT alone to simulate a 12-hour rainfall duration induced inundation would spend about 1.2 hours, which can provide buffer time for the requirement of flood prevention operation. Abstract A GPU-based flood simulation system is developed in this research. The system comprises two main components: a GPU-lized two bdimensional flood simulation model named GLMRT and a web-GIS user interface. GLMRT is designed and constructed with following features. First, GLMRT is constructed based on Lattice Boltzmann method(LBM) and two dimensional shallow water equations. Second, GLMRT is combined with sink/source terms including excess rainfall and pump-like drainage. Third, a dry-wet boundary determining mechanism is considered in GLMRT. Fourth, real DEM data can be used in simulating water movement on the land surface. Finally, GPU accelerated technique is integrated into GLMRT to overcome the issue of time cost in calculation. The web-GIS based user interface is built based on cloud platform to assist data flow organization and real time simulation. The interface integrates real DEM data and receives precipitation estimation products from the Taiwan Typhoon and Flood Research Institute(TTFRI) and Central Weather Bureau(CWB). The simulation results would be displayed on the web-GIS via file and database transfer. Besides, a real time rendering technique based on real time simulation is developed, too. The real time rendering technique displays the simulation results via memory on GPU device and eliminates the time cost in data output. GLMRT solves a 800-second simulation of Zengwen Reservoir virtual dam break with 2,046x1,525 DEM grids (40 m resolution) within 140.11 seconds on the NVIDIA Tesla K20c. Compare to the 60,919 seconds computation time on the Intel?? Xeon?? CPU X5650 2.66GHz, the GLMRT gets a speedup of 438x. On the other hand, using GLMRT alone to simulate a 12-hour rainfall duration induced inundation would spend about 1.2 hours, which can provide buffer time for the requirement of flood prevention operation.

A Comparison of the Fitness Functions to Identify the Motor-Table System: Simulations and Experiments

Yuan-Chou Jing,Kun-Yung Chen 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.4

The different state-error fitness functions (FFs) are proposed and compared numerically and experimentally to identify a motor-table system by using self-learning particle swarm optimization (SLPSO). Firstly, the completed mathematical model containing both of mechanical and electrical equations is successfully formulated. Secondly, the FFs containing different state-errors are compared by using PSO and SLPSO to identify the unknown parameters. It is found that the identify performance of the SLPSO algorithm by using FF with full-state error of displacement, velocity and current is the best than the other methods. Thus, the FF with full-state errors is adopted in experiments for a real mechatronic motor-table system. Then, the unknown parameters are successfully identified by the SLPSO algorithm. The contributions of this paper are: (1) the more states of the system are measured and used in the FF, the more parameters of system are accurately identified by the proposed identification approach, (2) the FF with full-state errors is performed in a real mechatronic motor-table system, and the unknown parameters are successfully identified by the SLPSO algorithm in experimental results.

Event-Triggered Media Stream Bandwidth Adjustment in IoT-Based Home Networks

Chao-Yu Hsu,Chin-Lin Hu,Kun-Sheng Huang,Yung-Hui Chen,Jiun-Long Huang 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09

As the coming maturity of Internet of Things, many home-networked devices with various sensors are deployed in residential environments. It is important to accommodate many devices that compete for bandwidth allocation to transmit data inwards and outwards through a certain home network domain. This paper proposes a novel mechanism which can adjust media stream qualities and transmission bandwidth allocations to different devices. This mechanism is agile against dynamic changes of data workload and finite network resources between inside and outside of a home network. Practical demonstration exhibits that the effects are able to maintain differentiated media transfer services in IoT-based home networks.

Determination of Geographical Origin of Tea using Near Infrared Spectroscopy

( Tsung-hsin Wu ),( I-chun Tung ),( Han-chun Hsu ),( Suming Chen ),( Chao-yin Tsai ),( Yung-kun Chuang ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

Tea is one of the most consumed beverages in the world. Every tea has its own aroma and flavor characteristics due to geographic differences in environment and climate. Oolong tea, a very popular kind of partial fermentation tea in Taiwan, is generally more expensive and enjoyable. While tea leaves produced from the other countries are generally cheaper and not easily discernible, many stores mainly use cheaper tea leaves which are imported from Vietnam, India, and China, where adulteration and counterfeit may happen in tea market. To date, determination of geographical origin of tea is mainly depends on sensory evaluation, which lacks of objectivity in science. Therefore, determination of geographical origin of tea is necessary. Near infrared spectroscopy (NIRS) is a rapid and nondestructive analytical method which has become a powerful tool by associating with chemometrics for food industry. In the present study, the quality-related constituents of tea, including total polyphenols, total free amino acids, pH value, and water were evaluated by NIRS with modified partial least square regression (MPLSR). The calibration models built by MPLSR showed satisfied results. For total polyphenols, the results of the calibration model were Rc = 0.983 and SEC = 4.268 mg/g. The results of free amino acids were R_c = 0.913 and SEC = 3.368 mg/g. The results of pH value were R_c = 0.972 and SEC = 0.105. The results of moisture were R_c = 0.969 and SEC = 0.470 %. To identify the geographical origin of tea, the qualitative method of support vector machine (SVM) will also be applied in this study. The SVM result of identify the partially fermented tea origins was achieved and the accuracies for calibration and prediction sets were both 100%. In summary, NIRS associated with chemometrics provides a useful tool for internal quality inspection and origin identification of tea.