Takming University of Science and Technology

About: Takming University of Science and Technology is a education organization based out in Taipei, Taiwan. It is known for research contribution in the topics: Supply chain & The Internet. The organization has 320 authors who have published 527 publications receiving 6410 citations.

Two-Machine Flow-Shop Scheduling with Job Delivery Coordination

Abstract: This study considers a class of two-machine flow-shop scheduling problems with job delivery coordination. Both vehicle capacity and transportation times are also investigated. The objective is to minimize the mean arrival time of jobs. Two integer programming models are developed to optimally solve this problem. These two integer programming models are Models 1 and 2. Model 1 adopts the concept of assignment problem to formulate the proposed problems, while Model 2 bases on the dichotomous constraints models. Model 2 is theoretically better than Model 1 in size complexity analysis.

Study on the flow situations of lightguiding plates by micro injection molding

Abstract: This study investigates the flow characteristics of microinjection-molded lightguiding plates. This study also analyzes the position of melt fronts on lightguiding plates. Viscous heating, temperature and velocity distribution are utilized to analyze delay or advancement of the melt front experimentally and using three-dimensional (3D) numerical simulation. A slow injection speed reduces viscous heating. As viscous heating decreases, the temperature distribution decreases and plastic viscosity increases. A high plastic viscosity increases flow resistance and melt plastic velocity decreases. The advancing melt front of a lightguiding plate is delayed in this situation. The key of this research is that the plastic melt front can arrive the end position at the same time on filling stage of lightguiding plate for microinjection molding. In this research, the authors find increasing the injection speed can help the previous situation. Experimental results demonstrate that filling in the experiment is very close to that in 3D numerical simulation.

Region Growing Approach on Detecting Drivable Space for Intelligent Autonomous Vehicles

Abstract: In this paper, an image segmentation method called region growing, using threshold estimated from previous indicated road region, is proposed to determine that the pixels in the image belong to road region or not. With a defined initial partial road region, the whole road region can be obtained. On the other hand, with a prior bird-eye view map of the area where the vehicle drives, the contours of road region extracted from captured images are matching with the contour on the map by iterative closest point to obtain the vehicle position. The experimental results show that in structured road, with the localization by road signs, stop lines, and lane lines, the global positions of vehicle can be estimated while the relative movements are very close to GPS data.

An exploration of the Chinese Entrepreneur Aptitude Scale in a sample of college students in Taiwan

Abstract: Small and medium enterprises constitute the majority of Taiwanpsilas businesses, and entrepreneurship lies at the heart of these enterprises. A literature review shows that entrepreneurspsila demographic characteristics and psychological traits have a crucial impact on entrepreneurial outcomes. Over the past few years, technological and vocational education in Taiwan has developed substantially, fostering many successful entrepreneurs. Completed questionnaires from 1,053 students from the Transworld Institute of Technology in Taiwan and the Chinese Entrepreneur Aptitude Scale (CEAS), constructed by Chen and Wu [11], formed the basis of our empirical analysis. Our research objectives are as follows. First, we aim to explore the reliability and validity of the CEAS and to establish a normative score among surveyed students. Second, we compare the scaling scores differences between the genders, departments, and classes in the sample. Finally, we compare the student samplepsilas CEAS results with models of Taiwanese entrepreneurial youth. We then discuss the findings in terms of their implications for entrepreneurial education and management and future research.

Premiums on Exchange-Traded Funds As A Sentiment Indicator: Evidence From Taiwan

Abstract: (ProQuest: ... denotes formulae omitted.)IntroductionRecent literature in finance has turned to non-economic factors such as investor sentiment as possible determinants of asset prices. That motivates to study the effects of investor sentiment on asset prices comes from the fact that fundamental based models do not fully explain asset price movement in the short to medium term. Researchers have explored the possible effect of investor sentiment on asset prices. Baek et al. (2005) suggest that shifts in investor sentiment may explain short-term movements in asset prices better than any other set of fundamental factors. Brown and Cliff(2005) find evidence that investor sentiment affects future asset prices in the long run. Verma and Soydemir (2006) provide evidence that U.S. investor sentiment have strong effects not only on U.S. stock market returns but also on international stock market returns. However, whether investor sentiment affects asset prices is still open to debate.Institutional and individual investors are two major types of investors who compete to obtain limited profitability in financial markets. Research on investor sentiment has focused on individual investors for two main reasons: (1) data on the sentiment of institutional investors are much less available; (2) the "investors" in the theoretical framework for the role of investor sentiment in determining stock prices are referred to a certain group of investors who may not be making investment decisions based on a company's fundamentals. Such "noise traders," as they are referred to, are capable of affecting stock prices by way of unpredictable changes in their sentiments and are often supposed to be individual investors.Following the "noise trader" model of Delong et al. (1990), several empirical studies examine the influence of investor sentiment. Studies use indirect and direct measures of investor sentiment. Indirect measures of investor sentiment include the closed-end fund (CEF) discount, trading activity-based measures, market performance-based measures, IPO related measures, the dividend premium, and derivative-related variables (Verma and Soydemir, 2006). Overall, these studies do not provide a consensus on whether the proxies chosen are appropriate. They also show mixed results as to links between sentiment and stock returns. Direct measures of investor sentiment use sentiment survey data that indicate the expectations of market participants. Fisher and Statman (2000) used data from Merrill Lynch, which compiles the responses of strategists about their recommended portfolios monthly as the measure of the sentiment of the large investors. Fisher and Statman (2000) and Verma and Soydemir (2006) also use survey data from Investors Intelligence and the American Association of Individual Investors to stand for investor sentiments. Kling and Gao (2008) use daily survey data on Chinese institutional investors' forecasts to measure investors' sentiment.CEFs have the market price in the market trading and the net asset value (NAV) calculated according to the market value of assets the funds hold at the same time. When the market price is higher than the NAV, it is the premium, while if the reverse happens it is the discount. CEFs in financial markets are generally traded by individual investors and at discounts. The discounts fluctuate violently. The investor sentiment is proposed as a tenable reason for explaining this phenomenon. The CEF discount was therefore treated as a proxy of individual investor sentiment.However in the market with less CEF issued and listed, using CEF discount to act as a proxy for investor sentiment will be challenged. Such as Taiwan, in 1988 the first CEF was launched. From 1988 to 1998, although 30 CEFs were issued, most of them subsequently turned into open-end. After 1998, no new CEF issuance has ever occurred. As of June 30, 2003, which is the starting date for the data period for this research, only three CEFs remained in the market, and thereafter two of them also transferred to open-end in 2005. …