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Kaohsiung, Taiwan

National Kaohsiung University of Applied science is a university located in Yanchao District, Kaohsiung, Taiwan. Wikipedia.

Yu M.-C.,National Kaohsiung University of Applied Sciences
Expert Systems with Applications | Year: 2011

ABC analysis is a popular and effective method used to classify inventory items into specific categories that can be managed and controlled separately. Conventional ABC analysis classifies inventory items three categories: A, B, or C based on annual dollar usage of an inventory item. Multi-criteria inventory classification has been proposed by a number of researchers in order to take other important criteria into consideration. These researchers have compared artificial-intelligence (AI)-based classification techniques with traditional multiple discriminant analysis (MDA). Examples of these AI-based techniques include support vector machines (SVMs), backpropagation networks (BPNs), and the k-nearest neighbor (k-NN) algorithm. To test the effectiveness of these techniques, classification results based on four benchmark techniques are compared. The results show that AI-based techniques demonstrate superior accuracy to MDA. Statistical analysis reveals that SVM enables more accurate classification than other AI-based techniques. This finding suggests the possibility of implementing AI-based techniques for multi-criteria ABC analysis in enterprise resource planning (ERP) systems. © 2010 Elsevier Ltd. All rights reserved.

Wang H.-Y.,National Kaohsiung University of Applied Sciences
Construction and Building Materials | Year: 2011

In the high-tech industry in Taiwan, the use of LCD glass products have increased significantly in recent years, which produces a large amount of waste LCD glass during the manufacturing process. This study is based on the 0.485 w/b and 10%, 20%, 30%, 40%, and 50% substitution amount to discuss the effect of glass powder proportions on cement in cement mortar. The research found that of cement mortar by the waste liquid crystal glass powder substitution cement, along with the substitution quantity increase, the set time decreases progressively also the compressive strength gradually reduces. A 10% substitution amount is considered the best in durability tests involving sodium hydroxide, sodium sulfate, and concentrated sulfuric acid resistance. According to the microstructure, the internal structure of the mortar body appears rather dense on the 28th day. Thus, this compound can be used as a substitute for cement and achieve goals of resource development and utilization as well as environmental protection. © 2010 Elsevier Ltd. All rights reserved.

Purpose: To perform a validation test of the quantitative analysis of normal tissue effects in the clinic (QUANTEC) guidelines against quality of life (QoL) questionnaire datasets collected prospectively from patients with head and neck (HN) cancers, including HN squamous cell carcinoma (HNSCC) and nasopharyngeal carcinoma (NPC). Methods and materials: QoL questionnaire datasets from 95 patients with NPC and 142 with HNSCC were analyzed separately. The European Organization for Research and Treatment of Cancer H&N35 QoL questionnaire was used as the endpoint evaluation. The primary endpoint (grade 3+ xerostomia) was defined as moderate to severe xerostomia 3 and 12 months after the completion of RT, and excluded patients with grade 3 + xerostomia at the baseline. The Lyman-Kutcher-Burman normal tissue complication probability (NTCP) model was used to describe the incidence of xerostomia. Negative predictive values (NPVs) were used to determine the rate of correctly predicting the lack of complications. Results: NTCP fitted parameters were TD50 = 37.8 Gy (CI: 29.1-46.9 Gy), m = 0.59 (CI: 0.48-0.80) and TD50 = 43.9 Gy (CI: 33.2-52.8 Gy), m = 0.48 (CI: 0.37-0.76) at the 3-month and 12-month time points, respectively. For QUANTEC validation, HN and HNSCC data validation gave similar results at 3 months; at mean doses to the spared parotid of ≤20 and ≤25 Gy, the QoL dataset showed approximately 22% and 28% rates of xerostomia, respectively. At 12 months, the rates of xerostomia were approximately 13% and 19%, respectively. For NPC cases, the dataset showed approximately 0% and 33% (∼67% NPV) rates of xerostomia at 3 months. At 12 months, both rates of xerostomia were approximately 0% (∼100% NPV), which differed significantly from the results for the HNSCC cohort. Conclusion: The QoL datasets validated the QUANTEC guidelines and suggested that the modified QUANTEC 20/20-Gy spared-gland guideline is suitable for clinical use in HNSCC cohorts to effectively avoid xerostomia, and the QUANTEC 25-Gy guideline is justified for NPC cohorts. © 2013 Elsevier Ireland Ltd. All rights reserved.

Tsai S.-C.,National Kaohsiung University of Applied Sciences
Computers and Education | Year: 2010

This study reports on the development of ESP (English for Specific Purposes) multimedia courseware on oral presentations, and its integration into self-study learning and elective courses for students with different English proficiencies, as one solution to problems in ESP courses in Taiwan. The courseware design is based on Mayer's multimedia learning cognitive theory, and the language learning focus draws on Chapelle's suggested criteria for development of multimedia CALL. Evaluation of student performance with two different formats for courseware integration is based upon data from pre- and post-tests for preparing speech texts, and a questionnaire survey. The courseware provides authentic materials with a logical situational layout and a friendly interface design for learning ESP for oral presentations in international business and technical settings and offers rich and flexible learning activities with corresponding on-line self-evaluation so that students actively engage in cognitive processing. Students with different English proficiencies have different concerns about giving a presentation. Meanwhile, after students' self-study for six weeks, regardless of level of proficiency, students' learning effectiveness and satisfaction with the courseware integration were significantly improved, by qualitative and quantitative analysis. Such students' improvement suggests success of the courseware design and learning effectiveness with its integration. © 2010 Elsevier Ltd. All rights reserved.

Lee C.-H.,National Kaohsiung University of Applied Sciences
Expert Systems with Applications | Year: 2012

Due to the explosive growth of social-media applications, enhancing event-awareness by social mining has become extremely important. The contents of microblogs preserve valuable information associated with past disastrous events and stories. To learn the experiences from past events for tackling emerging real-world events, in this work we utilize the social-media messages to characterize real-world events through mining their contents and extracting essential features for relatedness analysis. On one hand, we established an online clustering approach on Twitter microblogs for detecting emerging events, and meanwhile we performed event relatedness evaluation using an unsupervised clustering approach. On the other hand, we developed a supervised learning model to create extensible measure metrics for offline evaluation of event relatedness. By means of supervised learning, our developed measure metrics are able to compute relatedness of various historical events, allowing the event impacts on specified domains to be quantitatively measured for event comparison. By combining the strengths of both methods, the experimental results showed that the combined framework in our system is sensible for discovering more unknown knowledge about event impacts and enhancing event awareness. © 2012 Elsevier Ltd. All rights reserved.

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