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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.

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.

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.

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.

Chen C.-W.,Instrument Technology Research Center | Lee C.-W.,NTUT | Lin Y.-W.,Instrument Technology Research Center
Energy and Environment | Year: 2014

In response to the needs of energy policy in Taiwan, it is important and urgent to promote energy efficiency in energy-intensive systems and equipment, especially air conditioning. Conventional refrigeration systems rely on experienced human beings to operate the load of components. This method is inefficient and non-reliable and causes excessive energy consumption. The present study applies the equal marginal utility theory (EMUT) from economics to a typical refrigeration system for energy saving analysis. The result of the analysis suggests that energy consumption in part-load conditions of the system was reduced by 4.74% by optimising the load on online components without significantly modifying the configuration (replacement of equipment or resetting of parameters) of the equipment. Therefore, optimising the energy use on the basis of the EMUT is highly recommended for decreasing energy consumption in air-conditioning systems.

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