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( Tseng Wen Jui ),( Tseng Kuo Shyong ),( Yang Yi Chih ) 한국해운물류학회(구 한국해운학회) 2003 해운물류연구 Vol.39 No.-
General average system is a special part of maritime law, which is considered to have existed long before insurance policies, and the general average loss is to be made good by the contribution of all concerned, when the adventure is saved. Different insurance policies will cover the sacrifices and extraordinary expenses and general average contributions arising from a general average contributions arising from a general average act. This paper will study the underwriter liability for general average losses according to Marine Insurance Act, 1906. After inductive analysis, this article proposes revised suggestions of the law pertaining to the claim of general average for an underwriter in Taiwan.
Wen-Hsuan Tseng,Wei-Chung Hsu,Tsung-Lin Yang,Tzu-Yu Hsiao,Jia-Feng Wu,Hui-Chuan Lee,Hsiu-Po Wang,Ming-Shiang Wu,Ming-Shiang Wu,Ping-Huei Tseng 대한소화기 기능성질환∙운동학회 2023 Journal of Neurogastroenterology and Motility (JNM Vol.29 No.3
Background/AimsLaryngeal symptoms are largely treated with empiric proton pump inhibitor (PPI) therapy if no apparent pathology shown on ear, nose, and throat evaluation and reflux-related etiologies are suspected. However, treatment response remains unsatisfactory. This study aimed to investigate the clinical and physiological characteristics of patients with PPI-refractory laryngeal symptoms. MethodsPatients with persistent laryngeal symptoms despite PPI treatment for ≥ 8 weeks were recruited. A multidisciplinary evaluation comprising validated questionnaires for laryngeal symptoms (reflux symptom index [RSI]), gastroesophageal reflux disease symptoms, psychological comorbidity (5-item brief symptom rating scale [BSRS-5]) and sleep disturbance (Pittsburgh sleep quality index [PSQI]), esophagogastroduodenoscopy, ambulatory impedance-pH monitoring, and high-resolution impedance manometry were performed. Healthy asymptomatic individuals were also recruited for comparison of psychological morbidity and sleep disturbances. ResultsNinety-seven adult patients and 48 healthy volunteers were analyzed. The patients had markedly higher prevalence of psychological distress (52.6% vs 2.1%, P < 0.001) and sleep disturbance (82.5% vs 37.5%, P < 0.001) than the healthy volunteers. There were significant correlations between RSI and BSRS-5 scores, and between RSI and PSQI scores (r = 0.26, P = 0.010, and r = 0.29, P = 0.004, respectively). Fifty-eight patients had concurrent gastroesophageal reflux disease symptoms. They had more prominent sleep disturbances (89.7% vs 71.8%, P < 0.001) than those with laryngeal symptoms alone but similar reflux profiles and esophageal motility. ConclusionsPPI-refractory laryngeal symptoms are mostly associated with psychological comorbidities and sleep disturbances. Recognition of these psychosocial comorbidities may help optimize management in these patients.
E-quality control: A support vector machines approach
Tseng, Tzu-Liang (Bill),Aleti, Kalyan Reddy,Hu, Zhonghua,Kwon, Yongjin (James) Society for Computational Design and Engineering 2016 Journal of computational design and engineering Vol.3 No.2
The automated part quality inspection poses many challenges to the engineers, especially when the part features to be inspected become complicated. A large quantity of part inspection at a faster rate should be relied upon computerized, automated inspection methods, which requires advanced quality control approaches. In this context, this work uses innovative methods in remote part tracking and quality control with the aid of the modern equipment and application of support vector machine (SVM) learning approach to predict the outcome of the quality control process. The classifier equations are built on the data obtained from the experiments and analyzed with different kernel functions. From the analysis, detailed outcome is presented for six different cases. The results indicate the robustness of support vector classification for the experimental data with two output classes.
Hybrid Type II fuzzy system & data mining approach for surface finish
Tseng, Tzu-Liang (Bill),Jiang, Fuhua,Kwon, Yongjin (James) Society for Computational Design and Engineering 2015 Journal of computational design and engineering Vol.2 No.3
In this study, a new methodology in predicting a system output has been investigated by applying a data mining technique and a hybrid type II fuzzy system in CNC turning operations. The purpose was to generate a supplemental control function under the dynamic machining environment, where unforeseeable changes may occur frequently. Two different types of membership functions were developed for the fuzzy logic systems and also by combining the two types, a hybrid system was generated. Genetic algorithm was used for fuzzy adaptation in the control system. Fuzzy rules are automatically modified in the process of genetic algorithm training. The computational results showed that the hybrid system with a genetic adaptation generated a far better accuracy. The hybrid fuzzy system with genetic algorithm training demonstrated more effective prediction capability and a strong potential for the implementation into existing control functions.
A novel approach to predict surface roughness in machining operations using fuzzy set theory
Tseng, Tzu-Liang (Bill),Konada, Udayvarun,Kwon, Yongjin (James) Society for Computational Design and Engineering 2016 Journal of computational design and engineering Vol.3 No.1
The increase of consumer needs for quality metal cutting related products with more precise tolerances and better product surface roughness has driven the metal cutting industry to continuously improve quality control of metal cutting processes. In this paper, two different approaches are discussed. First, design of experiments (DOE) is used to determine the significant factors and then fuzzy logic approach is presented for the prediction of surface roughness. The data used for the training and checking the fuzzy logic performance is derived from the experiments conducted on a CNC milling machine. In order to obtain better surface roughness, the proper sets of cutting parameters are determined before the process takes place. The factors considered for DOE in the experiment were the depth of cut, feed rate per tooth, cutting speed, tool nose radius, the use of cutting fluid and the three components of the cutting force. Finally the significant factors were used as input factors for fuzzy logic mechanism and surface roughness is predicted with empirical formula developed. Test results show good agreement between the actual process output and the predicted surface roughness.
Tseng, Hui-Kuan 세종대학교 국제경제연구소 1995 Journal of Economic Integration Vol.10 No.3
In a two-country model of monopolistic competition where PPP holds at aggregate price levels, this paper examines whether market imperfections alone can fail flexible exchange rates to insulate aggregate output from foreign monetary shocks. It finds that the possibility of insulation hinges on whether monopolists can freely adjust their individual prices to optimum If monopolists keep rigid their individual prices, these shocks will destabilize domestic aggregate output; and the greater the drgree of monopoly power, the larger the output fluctuations. The study conveys an implication for recent menu-costs models that price adjustment costs not only can cause price stickiness and non-neutrality of money, as they have shown but can fail flexible rate to achieve insulation as well.
Tseng, Kuo-Ching,Chen, Chun-Tse,Cheng, Chun-An The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.2
This paper proposes a novel high-efficiency high-step-up interleaved converter with a voltage multiplier, which is suitable for electric vehicle power management applications. The proposed interleaved converter is capable of achieving high step-up conversion by employing a voltage-multiplier circuit. The proposed converter lowers the input-current ripple, which can extend the input source's lifetime, and reduces the voltage stress on the main switches. Hence, large voltage spikes across the main switches are alleviated and the efficiency is improved. Finally, a prototype circuit with an input voltage of 24 V, an output voltage of 380 V, and an output rated power of 1 kW is implemented and tested to demonstrate the functionality of the proposed converter. Moreover, satisfying experimental results are obtained and discussed in this paper. The measured full-load efficiency is 95.2%, and the highest measured efficiency of the proposed converter is 96.3%.
Fuzzy AHP Approach to TQM Strategy Evaluation
Tseng, Ming-Lang,Lin, Yuan-Hsu,Chiu, Anthony SF,Chen, Chia Yi Korean Institute of Industrial Engineers 2008 Industrial Engineeering & Management Systems Vol.7 No.1
In recent years, many electronics producing firms have looked upon total quality management (TQM) strategy as a means by which they could maintain competitive advantage. This empirical research evaluates TQM strategic factors in order to determine the critical success factors in environmental uncertainty. Fuzzy analytic hierarchy process (FAHP) is the proposed research methodology to discuss and tackle the different decision criteria like effective leadership, people management, customer focus, strategic plan and process management, being involved in identifying the TQM strategic critical success factors with uncertainty. The result shows that effective leadership is the most critical success factor in TQM strategy.
Automated quality characterization of 3D printed bone scaffolds
Tseng, Tzu-Liang Bill,Chilukuri, Aditya,Park, Sang C.,Kwon, Yongjin James Society for Computational Design and Engineering 2014 Journal of computational design and engineering Vol.1 No.3
Optimization of design is an important step in obtaining tissue engineering scaffolds with appropriate shapes and inner micro-structures. Different shapes and sizes of scaffolds are modeled using UGS NX 6.0 software with variable pore sizes. The quality issue we are concerned is the scaffold porosity, which is mainly caused by the fabrication inaccuracies. Bone scaffolds are usually characterized using a scanning electron microscope, but this study presents a new automated inspection and classification technique. Due to many numbers and size variations for the pores, the manual inspection of the fabricated scaffolds tends to be error-prone and costly. Manual inspection also raises the chance of contamination. Thus, non-contact, precise inspection is preferred. In this study, the critical dimensions are automatically measured by the vision camera. The measured data are analyzed to classify the quality characteristics. The automated inspection and classification techniques developed in this study are expected to improve the quality of the fabricated scaffolds and reduce the overall cost of manufacturing.