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Yang C.-C.,NTUT | Huang J.T.,National Taipei University of Technology
Digest of Technical Papers - IEEE International Conference on Consumer Electronics | Year: 2012

Cloud computing service has become the newest application of the computer revolution. While many people still don't know much about the benefit of it, yet the techniques could be applied to one's life by bio-detection and open-software. Cloud-Computing helps provide the best efficiency for human beings, and it presents acquisition (user interface service), business (marketing driven usage), access (internet & intranet), and technology (unlimited, dynamic and flexible). For instance, the heart beat detection can be detected by the portable sensors which typically send the health information though the RFID, gather into the media gateway (mini-computer), and then upload it to the public server system. In a few seconds, the animated heart graphic with the calculated data soon replies back to the mobile computing gateway, displaying the 3D graphics of heart in order to prevent the heart stroke or monitor diseases. All this performance is going through the wireless radio frequency methodology, and its arithmetic process is finished by the remote computing servers that decrease the loading of mobile media devices. The tremendous value is the lowest cost for common users and the capability to provide the best medical care from the integration of the cyber system. Very much of product sense in the "Cloud Computer" will be the trend to compound the Bio- and Open-applications. © 2012 IEEE.


Chen C.-W.,Instrument Technology Research Center | Cheng H.-P.,NTUT | Lin Y.-W.,Instrument Technology Research Center
ACRA 2016 - 8th Asian Conference on Refrigeration and Air-Conditioning | Year: 2016

This study employs the particle swarm optimization algorithm to determine the optimum operation of each refrigerant compressor unit within the refrigeration system to obtain the most energy-saving operation for maximum operation efficiency of the system (energy consumption efficiency), according to the actual required refrigeration capacity at load side, actual performance and operation condition of each unit. The results reflect that the particle swarm optimization algorithm can obtain the optimum solution and increase the coefficient of performance of the original refrigeration system by 7.98%.


Chen C.-W.,Instrument Technology Research Center | Lee C.-W.,NTUT
Advanced Science Letters | Year: 2013

Despite the number and variety of design tools available today, chiller system designers have little guidance or effective methodologies for determining some of the most basic characteristics of their chiller system designs. The result is that the most economic benefit configurations generally are not obtained nor are the highest potential overall chiller system operating efficiencies achieved. To assist in improving the power efficiency of chiller system, this study tries to employ the equal marginal utility theory in economics, and applied a typical chiller system for analysis. The result for analysis is that it is possible to reduce the power consumption at part load conditions of the s by 9.49% by optimizing all on-line components' power input without making any major configuration chan ping, ductwork or cooling coil). © 2013 American Scientific Publishers All rights reserved.


Tseng K.-H.,NTUT | Hsieh C.-L.,NTUT | Lien Y.-F.,NTUT
ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control | Year: 2015

Energy shortage has become a serious problems, as petrochemical, natural gas, and other energy sources are gradually depleted, while hydraulic energy is not sufficient, and there are doubts regarding the safety of nuclear energy. Consequently, renewable energy sources, such as solar, wind, tidal, and other energy sources, are actively being developed in order to promote green energy education. Taiwan's Bureau of Energy and the Ministry of Education subsidize schools at all levels to establish solar and wind power generation systems. In addition to teaching purposes, the generated power is directly integrated into the power grid as an auxiliary power source for lighting. However, these systems are not properly maintained after establishment due to management problems. As these systems cannot work properly, it results in waste of sources. It is pitiful that such usable energy is not used. This study proposes a Cloud Renewable Energy Management System to integrate the solar and wind power generation systems in schools at all levels to help all the schools with the management of renewable energy management systems © 2015 IEEE.


Wang C.-C.,NTUT | Wu M.-C.,NTUT | Ou S.-Y.,NTUT | Lin K.-J.,NTUT | Lin C.-R.,NTUT
Science China Technological Sciences | Year: 2010

The Photovoltaic Array has a best optimal operating point where the array operating can obtain the maximum power. However, the optimal operating point can be compromised by the strength of solar radiation, angle, and by the change of environment and load. Due to the constant changes in these conditions, it has become very difficult to locate the optimal operating point by following a mathematical model. Therefore, this study will focus mostly on the application of Fuzzy Logic Control theory and Three-point Weight Comparison Method in effort to locate the optimal operating point of solar panel and achieve maximum efficiency in power generation. The Three-point Weight Comparison Method is the comparison between the characteristic curves of the voltage of photovoltaic array and output power; it is a rather simple way to track the maximum power. The Fuzzy Logic Control, on the other hand, can be used to solve problems that cannot be effectively dealt with by calculation rules, such as concepts, contemplation, deductive reasoning, and identification. Therefore, this paper uses these two kinds of methods to makesimulation successively. The simulation results show that, the Three-point Comparison Method is more effective under the environment with more frequent change of solar radiation; however, the Fuzzy Logic Control has better tacking efficiency under the environment with violent change of solar radiation. © 2010 Science China Press and Springer-Verlag Berlin Heidelberg.


Sheng C.-Y.,Institute of Mechanical and Electrical Engineering | Lan Y.-M.,Institute of Mechanical and Electrical Engineering | Li W.-L.,NTUT | Su C.-C.,Institute of Mechanical and Electrical Engineering
International Journal of Mechanical Sciences | Year: 2014

Although there are many studies in the area of system parameter identification, none of them can be used to calibrate the probes of atomic force microscopes (AFM). We had derived a single-DOF identification method that was proven reliable. However, the original, patented SDOF method was found not sufficiently accurate in some cases when applying to an AFM. This study primarily aims to generalize a method for SDOF systems to multi-DOF systems. Before doing that, we focused on two-DOF structural systems. Unlike the currently used method, the present method can be applied in situ or when the AFM probe is well installed inside the probe clip. To improve the precision of the method, a TDOF model was adopted for observing the dynamic responses. The TDOF system was decomposed into two SDOFs in principal coordinates by using their mode shapes. It is well known that by mode superposition, two modal responses can be superimposed into the system ones. Thus, the present identification method starts by giving a wideband excitation and acquires the responses that were used to lock the damped natural frequency. The excitation frequency was thus changed to find the location where the phase lag is 90. As a result, the system dissipative energy can be computed under such conditions. Once the energy was obtained, the system damping was readily found, followed by the other system parameters. The present identification method was numerically verified using the MATLAB Simulink Toolbox. The numerical results clearly showed good consistency and very small errors. However, the system quality factors tended to have large identification errors for systems under slightly large damping.Nevertheless, the new method can identify the structural parameters of TDOF systems with viscous damping. In addition to the numerical verification, the method was also experimentally validated. The same procedures as those in an AFM were exactly followed, except that the model was a cantilever beam instead of an AFM probe. The system parameters could be successfully identified even under different damping conditions mimicking air, water as well as #40 lubricants.©2013 Published by Elsevier Ltd.


Wu H.-T.,NTUT | Tuan C.-W.,NTUT | Ke K.-W.,NTUT
Applied Mechanics and Materials | Year: 2013

Optical ring networks have been widely implemented as the major metro network architectures. However, as the network coverage expands, the system performance of the single ring structure degrades significantly. In this paper, we propose an interconnected ring topology to enhance the network throughput and efficiency. The carried out simulation results have revealed the superiority of employing such an interconnected architecture. We also discuss the increased complexities and fairness issues induced by such design. © (2013) Trans Tech Publications, Switzerland.


Solar energy directly converses light energy into DC power without fuel, no moving parts, no pollution, and no noise with long life-span more than about twenty years. Its application is extensive and the set up of solar generation can be scattered and in a small amount on demand which is the most available of all renewable energy, and is the most practical and effective energy. There are many kinds of solar cell, such first generation as Mono-crystalline Silicon, Multi-crystalline Silicon, and Amorphous Silicon, the second generation as Film Photovoltaic and the third generation as Dye-Sensitized (DSSCs) etc. The utilization of solar energy is greatly influenced by environmental change with the main reason of solar radiation. This research collects the data from the test of Mono-crystalline Silicon, Multi-crystalline Silicon, and Film Photovaltaic solar cells in different solar radiation, and then conducts the analysis and research thereby. Using the program written by Labview, collect the data of voltage, current, and the power, solar radiation, and temperature emitted by solar cells under test for analysis. And then discuss the results of the collected data by Matlab for data analysis. © (2012) Trans Tech Publications, Switzerland.


Wang C.-S.,NTUT
IEICE Transactions on Information and Systems | Year: 2013

Product return is a critical but controversial issue. To deal with such a vague return problem, businesses must improve their information transparency in order to administrate the product return behaviour of their end users. This study proposes an intelligent return administration expert system (iRAES) to provide product return forecasting and decision support for returned product administration. The iRAES consists of two intelligent agents that adopt a hybrid data mining algorithm. The return diagnosis agent generates different alarms for certain types of product return, based on forecasts of the return possibility. The return recommender agent is implemented on the basis of case-based reasoning, and provides the return centre clerk with a recommendation for returned product administration. We present a 3C-iShop scenario to demonstrate the feasibility and efficiency of the iRAES architecture. Our experiments identify a particularly interesting return, for which iRAES generates a recommendation for returned product administration. On average, iRAES decreases the effort required to generate a recommendation by 70% compared to previous return administration systems, and improves performance via return decision support by 37%. iRAES is designed to accelerate product return administration, and improve the performance of product return knowledge management. © 2013 The Institute of Electronics, Information and Communication Engineers.


Lo R.-C.,NTUT | Hsu H.-C.,NTUT
International Journal of Pattern Recognition and Artificial Intelligence | Year: 2016

This study proposes a method to detect thick circular curves, called circular bands, using the extended Hough Transform. This method enables the direct input of a binary image without requiring pre-processing in edge detection or a post-processing stage to recover the band in the original image. Thus, the useful positional relationships among the pixels of a circular band are preserved for subsequent processing. Several experiments involving the recognition of general circular band objects, traffic signs, and a tunnel entrance in real scenes were conducted to establish the feasibility and applicability of the proposed approach. © 2016 World Scientific Publishing Company

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