Hsing Wu Institute of Technology
Hsing Wu Institute of Technology
Lan K.-T.,National Taiwan University of Science and Technology |
Lan C.-H.,Hsing Wu Institute of Technology |
Kuo C.-H.,Nanhua University
Journal of Convergence Information Technology | Year: 2012
It is known that the global marine resources are exhausted little by little and the fish amounts are decreasing year by year. To restore and nurture the marine resources, more and more artificial reefs which have been proved to be effective to attract and gather marine lives are widely deployed by the countries adjacent to the sea or ocean. However, few artificial reefs are deployed on a fixed base or with a finite quantity. Besides, the maximum fractal dimension is rarely considered to design and deploy a three dimension artificial reef ecology (3D-ARE). Therefore, the study is working on a better solution of how to deploy a 3D-ARE which has the largest fractal dimension on the basis of the evolutionary technology. In this research, the evolutionary algorithm (EA) is employed to design a 3D-ARE which has the maximal fractal dimension. The larger the fractal dimension is, the better the deployment is. The searching space is very large and complex with many local optimal values to trap the individuals of the population. Therefore, Cauchy mutation which is better at exploring the rugged landscape and expanding searching space is well-applied in this research. By examining and analyzing different sizes of bases and numbers of reefs, the EA on the 3D-ARE design and deployment is confirmed to be feasible. With the conclusion of this study, to construct a 3D-ARE with the limited base-space, resource, and budget is able to achieve. In the future, the possibilities of further research about the related issues will be expectable and practicable.
Chen W.-C.,Chung Hua University |
Chang H.-P.,Hsing Wu Institute of Technology
Advanced Materials Research | Year: 2012
Due to the increasing advancement in technology and limited resources as well as environment being polluted at the same time, the natural solar energy, which has the advantage of environmental protection and being the newly developed approach, will become the rushing field of study around the world in order to implement energy efficiency and reduce carbon pollution. In the meantime, the solar industry technology and new product development have become the considerations to the survival and competitiveness of enterprises. In this study, literature review and expert interviews are utilized to obtain five major key dimensions and 19 subordinate criteria regarding new product development. The Interpretive Structural Model (ISM) is employed to obtain the dimension-dimension and criterion-criterion dependence relationship, and used the Fuzzy Analytic Network Process (Fuzzy ANP) to determine the top priority weight for assessment improvement in the new product development solutions of the enterprises. © (2012) Trans Tech Publications.
Chen C.-Y.,Hsing Wu Institute of Technology |
Kuo J.-T.,China University of Science and Technology |
Chung Y.-C.,China University of Science and Technology
Environmental Technology (United Kingdom) | Year: 2013
The use of matured compost as an inoculation agent to improve the composting of vegetable and fruit wastes in a laboratory-scale composter was evaluated, and the commercial feasibility of this approach in a pilot-scale (1.8×104 L) composter was subsequently confirmed. The effect of aeration rate on the physico-chemical and biological properties of compost was also studied. Aeration rate affected the fermentation temperature, moisture content, pH, O2 consumption rate, CO2 production rate and the formation of odour. The optimal aeration rate was 2.5 L air/kg dry solid/min. The CO2 production rate approached the theoretical value during composting and was linearly dependent on temperature, indicating that the compost system had good operating characteristics. The inoculation of cellulolytic bacteria and deodorizing bacteria to compost in the pilot-scale composter led to an 18.2% volatile solids loss and a 64.3% volume reduction ratio in 52 h; only 1.5ppmv odour was detected. This is the first study to focus on both operating performance and odour removal in a pilot-scale composter. © 2013 Copyright Taylor and Francis GRouép, LLC.
Sung Y.-T.,National Taiwan Normal University |
Chang K.-E.,National Taiwan Normal University |
Yu W.-C.,Hsing Wu Institute of Technology
Computers and Education | Year: 2011
Assuring e-learning quality is of interest worldwide. This paper introduces the methods of e-learning courseware quality assurance (a quality certification system) adopted by the eLQSC (e-Learning Quality Service Centre) in Taiwan. A sequential/explanatory design with a mixed methodology was used to gather research data and conduct data analyses. Sixty-seven e-learning courseware applications were evaluated using the e-Learning Courseware Quality Checklist (eLCQC). Analyses of item difficulty, item discrimination and generalizability indicated that the eLCQC provides high-quality evaluations. After participating in the certification process, the e-learning producers reported having more confidence in enhancing e-learning courseware quality. The certification experience also helped the producers to change their previous design concepts about e-learning courseware and to develop new concepts; further, their increased confidence about courseware design also enhanced their confidence in marketing courseware. © 2010 Elsevier Ltd. All rights reserved.
Hsieh H.-C.,Hsing Wu Institute of Technology |
Chiang M.-L.,Chaoyang University of Technology
Journal of Parallel and Distributed Computing | Year: 2011
Reliability is an important research topic in distributed computing systems consisting of a large number of processors. To achieve reliability, the fault-tolerance scheme of the distributed computing system must be revised. This kind of problem is known as a Byzantine agreement (BA) problem. It requires all fault-free processors to agree on a common value, even if some components are corrupt. Consequently, there have been significant studies of this agreement problem in distributed systems. However, the traditional BA protocols focus on running ⌊(n-1)3⌋+1 rounds of message exchange continuously to make each fault-free processor reach an agreement. In other words, since having a large number of messages results in a large protocol overhead, those protocols are inefficient and unreasonable, especially for some network environments which have large number of processors. In this study, we propose a novel and efficient protocol to reduce the number of messages. Our protocol can collect, compare and replace the received values to find the reliable processors and replace the values sent by the unreliable processors. Subsequently, each processor can agree on a common value through three rounds of message exchange. Furthermore, the proposed protocol can use the minimum number of messages to tolerate the maximum number of faulty components in a distributed system. © 2011 Elsevier Inc. All rights reserved.
Ho Y.-L.,Hsing Wu Institute of Technology |
Peng W.-N.,Ardentec Corporation
Advances in Information Sciences and Service Sciences | Year: 2012
According the fast changes of customer desire, the core subject of business administration for an enterprise is to create its competitive advantage. Based on the research motivation of efficient and fast decision, the main objective is to construct a mathematical model with the considerations of production yield, multi-production intervals, multi-order, multi-plant, multi-material purchase, diverse order deadline, inventory cost, quantity discounts for each material, material holding cost, and the production setup cost to provide a referenced decision-making platform under the current complicated competitive environment. This work tries to combine the synchronized, real-time and the high computing capability of computer to handle the integrated problem of production planning, material purchasing and inventory planning for diverse products with different deadlines under the considerations of the least cost with finite production capacity. In addition, this model can not only be categorized as an Integer Nonlinear Programming (INLP) problem, but function as a decision-making tool for real-time analyses of the planning for multi-order by multi-plant production. Moreover, the above-mentioned mathematical model is constructed by using the syntax of Lingo 11.0 extended version, and the built-in Global Solver is selected as the solving method to search the global optimum. A exemplified case is then followed to describe the solving results. Through the proposed model, a factory can use the proposed model to solve other cases easily by changing its input parameters only.
Ho Y.-L.,Hsing Wu Institute of Technology
Journal of Convergence Information Technology | Year: 2012
This study provides a hybrid method of two-plant production decision. The Back-Propagation Network (BPN) is firstly applied to predict the future market demand of the target product for the next two years. A system dynamics (SD) model is then constructed to simulate the cost-orientated production decision of two plants. BPN is applied in this study because of its high-speed computing power, fast recall speed, high learning accuracy, and fault tolerance. In addition, the proposed system model can be divided into 4 subsystems, demand, judgement, production, and human resource. The proposed model considers that time delay of material demand and order demand would be affected by the amount of market demand, cycle time and the total human resource input, cost-orientated judgement of production decision, production capacity, product shortage, and human resource policy to satisfy the practical applications. The BPN results can offer an accurancy prediction of market demand, and SD simulation results can provide the references of cost-orientated production decision of two plants under the constrained production capacity, employee strategy, material inventory and product shortage situations. Besides, some unpredictable situation inserted, SD model can quickly simulate the changes of system behavior, and then make enterprise have enough time to prepare those unpredictable situations. This work shows that any enterprise can apply the proposed hybid method to solve its case easily by changing input data only.
Lee P.-F.,Hsing Wu Institute of Technology |
Huang C.-P.,Hsing Wu Institute of Technology
Proceedings - 2011 8th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2011 | Year: 2011
This study proposes an effective low-error point cloud simplification method to retain the physical features of the models. The value of Discrete Shape Operator (DSO) is adopted to extract the features points of the models, and those are postponed to simplify. The value of DSO is defined as the discrete sum over the directional curvature and torsion. The proposed method improves the Quadric Error Metric of vertex pair contraction, it not only effectively simplifies the point cloud model and keeps the features of object model, but also decreases the preprocessing time cost associated with feature analysis. This study also proposes a method to obtain unique simplified model for each model and the time cost involved in calculating DSO is about 17.29% of the execution time. The unique simplified model obtained by this study can significantly reduce the computation cost about 72.72% than mesh simplification which reconstruct original points first. © 2011 IEEE.
Hu F.-L.,Hsing Wu Institute of Technology |
Chuang C.C.,Hsing Wu Institute of Technology
Journal of Internet Banking and Commerce | Year: 2012
The Internet has become an important channel for retailers to effectively reach their target customers or expand into new markets. Due to the low switching costs for customers and few entry barriers for competitors, competition in the online environment has become fierce. Value creation for consumers is important in the success of retaining customers. The Internet provides a new way for retailers to create value for a wider range of customers. Understanding how to offer value through the interaction between website attributes and visitors can help online retailers enhance customer loyalty intention to the site. This study examined the effects of three components of perceived value on customer loyalty intention to an e-retailer's website. Perceived value components--utilitarian value, trust, and hedonic value--were hypothesized to have direct and positive effects on customer loyalty intention toward an e-retailer's website. Data were collected from 243 students through five different colleges and 418 office workers in the urban cities of Northern and Central Taiwan by using a paper-pencil survey. A Structural Equation Modeling technique was employed to test the research model. The result shows that trust and utilitarian value both had significant effects on e-loyalty intention; however, hedonic value did not appear to have a positive effect on e-loyalty. © Fu-Ling Hu and Chao Chao Chuang, 2011.
Chen M.-L.,Hsing Wu Institute of Technology
Engineering Economist | Year: 2012
In this study an experiment was conducted to examine the effect of leader reward and punishment behaviors on subordinates budget reports, especially at different levels of reward/punishment. The results indicated that hands-off behavior is the least effective in controlling budgetary slack among four leader behaviors, even if intrinsic honesty is effective in slack reduction. Large punishments relative to slack creation (the difference between budget requests and needs) can change subordinates from the possible slack creation to reasonable cost reporting, whereas with small punishments subordinates become less cooperative. Rewards have only a small effect, whereas adding punishments to rewards has a profound effect on slack reduction. © 2012 Copyright Taylor and Francis Group, LLC.