Hsiao H.-Y.,National Central University |
Huang C.-M.,Kun Shan University |
Hsu M.-Y.,Tung Fang Design University |
Chen H.,National Central University
Separation and Purification Technology | Year: 2011
High-surface-area activated carbon obtained from ultra-thin PAN fibers was evaluated as CO2 adsorbent in a simulated flue gas stream. These carbons were prepared from ultra-thin PAN fibers by means of stabilization, activation, and carbonization. By changing the stabilization temperature, it is possible to control the pore size from supermicropores (0.7-2.0 nm) to mesopores (2-5.5 nm). The surface area of the carbon can be over 2500 m2g -1. Both textural properties and nitrogen functionality influence the CO2 adsorption performance of the adsorbents. The ultra-thin PAN fibers stabilized at 533 K (AC533) achieved the highest CO2 gravimetric equilibrium capacity of 5.53 mmol g-1 in a binary mixture of 15% CO2 in N2 at 323 K, while AC493 had the highest CO2 dynamic adsorption of 2.70 mmol g-1 in a N 2/CO2/H2O mixture (83/10/7% v/v) at 323 K. The textural properties, the micropore surface and micropore volume obtained from micropores below 1.1 nm, have a significant effect on CO2 dynamic adsorption. The stabilization temperature affects the nitrogen group present, as determined by XPS, which enhances the specific adsorbent-adsorbate interaction for CO2. © 2011 Elsevier B.V. All rights reserved.
Lee C.-Y.,National Cheng Kung University |
Shiu L.-C.,National Pigtung Institute of Commerce |
Lin F.-T.,National Cheng Kung University |
Lin F.-T.,Tung Fang Design University |
Yang C.-S.,National Cheng Kung University
Journal of Network and Computer Applications | Year: 2013
Topology control can enhance energy efficiency and prolong network lifetime for wireless sensor networks. Several studies that attempted to solve the topology control problem focused only on topology construction or maintenance. This work designs a novel distributed and reliable energy-efficient topology control (RETC) algorithm for topology construction and maintenance in real application environments. Particularly, many intermittent links and accidents may result in packet loss. A reliable topology can ensure connectivity and energy efficiency, prolonging network lifetime. Thus, in the topology construction phase, a reliable topology is generated to increase network reachable probability. In the topology maintenance phase, this work applies a novel dynamic topology maintenance scheme to balance energy consumption using a multi-level energy threshold. This topology maintenance scheme can trigger the topology construction algorithm to build a new network topology with high reachable probability when needed. Experimental results demonstrate the superiority of the RETC algorithm in terms of average energy consumption and network lifetime. © 2013 Elsevier Ltd. All rights reserved.
Hu S.Y.,Tung Fang Design University |
Lee Y.C.,Tungnan University |
Feng Z.C.,National Taiwan University |
Yang S.H.,National Taiwan Ocean University
Journal of Luminescence | Year: 2012
Al xIn yGa 1-x-yN quaternary alloys with different ratios of Al/In were grown by metal-organic chemical vapor deposition on GaN/Al 2O 3 substrates. The structural and emission properties of the as-grown samples were investigated, respectively, by high-resolution X-ray diffraction and photoluminescence (PL) measurements. The PL emission character is related to the two prominent quenching bands, which have been determined to be located at around 1.1 eV and 1.7 eV above the valence band, respectively, by the method of optical quenching of photoconductivity. PL emission is most intense when the Al/In ratio is 7.5 for the Al xIn yGa 1-x-yN layer. In addition, a stronger quenching phenomenon with Al/In ratio of 5.0 in Al xIn yGa 1-x-yN is observed in accordance with a reduction of the intensity of Al xIn yGa 1-x-yN-related emission peak. © 2011 Elsevier B.V. All rights reserved.
Guo N.R.,Tung Fang Design University |
Li T.-H.S.,National Cheng Kung University
Expert Systems with Applications | Year: 2011
In this paper, a Feature-Extraction Neuron-Fuzzy Classification Model (FENFCM) is proposed that enables the extraction of feature variables and provides the classification results. The proposed classification model synergistically integrates a standard fuzzy inference system and a neural network with supervised learning. The FENFCM automatically generates the fuzzy rules from the numerical data and triangular functions that are used as membership functions both in the feature extraction unit and in the inference unit. To adapt the proposed FENFCM, two modificatory algorithms are applied. First, we utilize Evolutionary Programming (EP) to determine the distribution of fuzzy sets for each feature variable of the feature extraction unit. Second, the Weight Revised Algorithm (WRA) is used to regulate the weight grade of the principal output node of the inference unit. Finally, the proposed FENFCM is validated using two benchmark data sets: the Wine database and the Iris database. Computer simulation results demonstrate that the proposed classification model can provide a sufficiently high classification rate in comparison with that of other models proposed in the literature. © 2010 Elsevier Ltd. All rights reserved.
Lee K.-L.,Far East University of Taiwan |
Hsu C.-M.,Tung Fang Design University |
Pan W.-F.,National Cheng Kung University
Acta Mechanica Solida Sinica | Year: 2013
This study discusses the experimental result of the viscoplastic response and collapse of sharp-notched 316L stainless steel tubes with different notched depths subjected to cyclic bending. The tube bending machine and curvature-ovalization measurement apparatus were used for conducting the symmetric curvature-controlled cyclic bending. To highlight the viscoplastic behavior, three different curvature-rates, 0.0035, 0.035 and 0.35 m -1s-1, were controlled. Observations of a certain curvature-rate reveal that five almost parallel lines corresponding to five different notch-depth (0.2, 0.4, 0.6, 0.8 and 1.0 mm) tubes were presented in the experimental relationship between the cyclic controlled curvature and the number of cycles needed to produce buckling on a log-log scale. However, the slopes for the three different curvature-rates are different. An empirical formulation was proposed to simulate the aforementioned relationship. When comparing with the experimental findings, the simulation was in good agreement with the experimental data. © 2013 The Chinese Society of Theoretical and Applied Mechanics.
Sung T.-W.,Fujian University of Technology |
Lin F.-T.,Tung Fang Design University
2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 | Year: 2016
ZigBee is a standard for wireless sensor network and Internet of things based on IEEE 802.15.4 low-data rate wireless network standard. Operations of a ZigBee network tightly depend on the self-organizing network joining among ZigBee coordinator, routers, and end devices. The network configuration parameters and distributed address assignment mechanism defined in ZigBee specification will cause the occurrence of ZigBee orphan devices in some conditions and this situation will affect the functions and operations of a ZigBee network. This study focuses on the orphan devices problem and proposes a 2-phase scheme to decrease the number of orphan devices. The study is still on going and some preliminary results are presents in the paper. Some key points need to be concerned in the works are also presents. © 2016 IEEE.
Hsueh S.-L.,Tung Fang Design University |
Hsu C.-M.,Tung Fang Design University
Communications in Computer and Information Science | Year: 2011
Besides attaching importance to knowledge for adults, community colleges also cultivate members' civic awareness and encourage them to spontaneously participate in public affairs. Moreover, they arouse people's concern for society. This study used the Delphi method, and fuzzy logic to establish a multi-criteria quantitative assessment model as the basis for assessing the effectiveness of energy conservation promotion at community colleges, and to enable supervision units to assess and review the effectiveness of energy conservation promotion at community colleges according to the values calculated. The assessment model established in this study could be used to inspect the effectiveness of community colleges' focus on self-development and could act as a reference for the government to assess project subsidies for community colleges. © 2011 Springer-Verlag Berlin Heidelberg.
Liu K.-S.,Tung Fang Design University |
Hsueh S.-L.,Tung Fang Design University |
Wu W.-C.,Tung Fang Design University |
Chen Y.-L.,Tung Fang Design University
Energies | Year: 2012
The construction industry is a high-pollution and high-energy-consumption industry. Energy-saving designs for residential buildings not only reduce the energy consumed during construction, but also reduce long-term energy consumption in completed residential buildings. Because building design affects investment costs, designs are often influenced by investors' decisions. A set of appropriate decision-support tools for residential buildings are required to examine how building design influences corporations externally and internally. From the perspective of energy savings and environmental protection, we combined three methods to develop a unique model for evaluating the energy-saving design of residential buildings. Among these methods, the Delphi group decision-making method provides a co-design feature, the analytical hierarchy process (AHP) includes multi-criteria decision-making techniques, and fuzzy logic theory can simplify complex internal and external factors into easy-to-understand numbers or ratios that facilitate decisions. The results of this study show that incorporating solar building materials, double-skin facades, and green roof designs can effectively provide high energy-saving building designs. © 2012 by the authors.
Hsueh S.-L.,Tung Fang Design University |
Yan M.-R.,Chinese Culture University
Energy Procedia | Year: 2011
Man consumes energy and community, the basic unit of urban development, is also an integrated energy -consuming unit. Sustainable community construction is a development model for local redevelopment which integrates culture and local features. Hence, incorporating a low-carbon concept into a sustainable community construction model will help reduce a community's carbon footprint. Community energy-saving polices can be effectively promoted by guidance, evaluation, feature development and sustainable management as well as heritage programs. This study applies Delphi method, analytic hierarchy process (AHP), and fuzzy logic in building a quantitative evaluation model for sustainable community construction low-carbon development effectiveness, to compare community low-carbon and energy saving development levels by calculating quantitative values as the basis for merits. In addition to testing the effectiveness of self-development of features, this study can also provide the government with a reference and criteria to evaluate the performance of low-carbon community construction projects. © 2011 Published by Elsevier Ltd.
Hsueh S.-L.,Tung Fang Design University |
Hsu K.-H.,Council for Cultural Affairs |
Liu C.-Y.,Tung Fang Design University
Procedia Engineering | Year: 2012
Artificial intelligence is a scientific tool that is both supportive and has many applications and has been widely applied in different domains and industries. In the globalize competitive environment, raising firm competitiveness and reducing investment risk are serious issues that must be confronted by decision makers. Artificial intelligence helps enhance industrial development by providing the benefits of lending support to management, aiding in decision making, assisting in the design process, and helping in practical applications. In recent years, Taiwan has been actively promoting the implementation of the cultural and creative industries in developments from various sectors, and has established relevant subsidy policies. The goal is to improve Taiwan's influence in the knowledge economy. Selecting a set of proper tools to evaluate effectiveness in industrial development and policy promotion will help enhance overall execution efficiency and improve final results. This research uses the fuzzy logic theory in artificial intelligence to process the imprecise and vague linguistic meanings in decision making. By further combining the group decision-making technique from Delphi, we developed a multi-criteria evaluation model for developmental effectiveness in the cultural and creative industries. This model evaluates the developmental effectiveness of the inputs from each sector into the cultural and creative industries through first performing a quantified value transformation process by the fuzzy logic inference system. Decision making units may base the evaluation upon the quantified values. Lastly, this model is presented via a case study to illustrate the use of this model and to demonstrate the capability of the model. © 2011 Published by Elsevier Ltd.