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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.
Evaluating Green Supply Chain Management with Incomplete Information
Tseng, Ming-Lang,Lin, Ru-Jen,Chiu, Anthony Shun Fung Korean Institute of Industrial Engineers 2012 Industrial Engineeering & Management Systems Vol.11 No.2
There has been a growing interest in firms' environmental sustainability activities to improve environmental practices in their supply chain. This study aims to deal with supplier evaluation of firm's green supply chain management (GSCM) criteria with incomplete information. Nevertheless, the suitable supplier is a key strategic direction in eliminating environmental impact on supply chain management for manufacturing firms. The firm's GSCM criteria and supplier selection need to be unified as a system to improve the firm's performance.
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.
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%.
Black Hole along with Other Attacks in MANETs: A Survey
Tseng, Fan-Hsun,Chiang, Hua-Pei,Chao, Han-Chieh Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.1
Security issue in mobile ad hoc network (MANET) is a promising research. In 2011, we had accomplished a survey of black hole attacks in MANETs. However network technology is changing with each passing day, a vast number of novel schemes and papers have been proposed and published in recent years. In this paper, we survey the literature on malicious attacks in MANETs published during past 5 years, especially the black hole attack. Black hole attacks are classified into non-cooperative and collaborative black hole attacks. Except black hole attacks, other attacks in MANET are also studied, e.g., wormhole and flooding attacks. In addition, we conceive the open issues and future trends of black hole detection and prevention in MANETs based on the survey results of this paper. We summarize these detection schemes with three systematic comparison tables of non-cooperative black hole, collaborative black hole and other attacks, respectively, for a comprehensive survey of attacks in MANETs.
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.
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.
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.