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Study on Aging Characteristics and Chemical Composition of Hydrogenated Transformer Oil
Yi-Hua Qian,Yi-Bin Huang,Qiang Fu,Zhen-Sheng Zhong 대한전기학회 2013 Journal of Electrical Engineering & Technology Vol.8 No.3
Under the condition of Baader aging, the chemical composition variation and the influence of transformer oil aging on electrical properties such as dielectric loss factor and physicchemical properties such as interfacial tension were studied in the aging precess. Moreover, the correlation between hydrogenated transformer oil electrical and physic-chemical properties and its chemical composition variation were also investigated. The results show that these parameters of physic-chemical and electrical properties of hydrogenated transformer oil relate to each other and have closed correlation with chemical composition.
A Versatile Fruit and Vegetable Image Recognition Method based on Deep Convolutional Neural Networks
( Yi-hsuan Huang ),( Ta-te Lin ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Due to the increasing labor costs and shortage of labor in the agricultural industry, automation in agriculture has become ever more important. This paper proposes a versatile and automatic fruit and vegetable recognition method through the use of computer vision and deep neural networks. The proposed method allows for detection, recognition, and localization of selected fruits and vegetables via images or video streams. Therefore, the method can be used in various applications in agriculture such as robotic harvest, greenhouse management, or crop phenotyping. To detect fruits or vegetables in images, traditional image processing algorithms have some limitations due to occlusions and background variations. Different fruits or vegetables may require different algorithms. However, deep convolutional neural networks have brought about a breakthrough in dealing with this problem. The significance of deep neural networks in imaging processing is that features are no longer extracted by image processing algorithms. Instead, the network will learn by itself from the input data and extract the important features, called deep features. Therefore, we apply deep convolutional neural networks with You Only Look Once (YOLO), a real-time object detection algorithm, to build a versatile image recognition model for selected fruits and vegetables. Using YOLO, the models are trained with five kinds of fruits and vegetables: apple, tomato, cucumber, orange and strawberry. There are two kinds of models developed: ‘one vs. all’ and ‘one vs. one’ models. These models are compared to obtain the ensemble model. In addition, the effects of different phenotype between training data sets and testing data sets are also evaluated. Finally, the optimized model is applied in the recognition system and multiple kinds of fruits are recognized. We also tested the method with images and video streams acquired from greenhouses to evaluate the performance of the method.
Taiwan Neurosurgical Spine Society: The New Shining Star
Yi-Hsuan Kuo,Jau-Ching Wu,Wen-Cheng Huang,Ming-Chao Huang,E-Jian Lee,Henrich Cheng 대한척추신경외과학회 2018 Neurospine Vol.15 No.4
As spine surgery flourished in Taiwan and neurosurgeons became more involved in spine surgery towards the end of the 20th century, the Taiwan Neurosurgical Spine Society (TNSS), earlier named the Taiwan Neurospinal Society, was established on March 11, 2001. As its main founder, Dr. Chun-I Huang was elected as the first president of the TNSS. The goals of the TNSS were to promote research, to hold academic seminars, to participate in international conferences, and to exchange clinical experiences. The mission of the TNSS was successful, and the profession of spine surgery in Taiwan advanced during the first decade of the 21st century, culminating in the TNSS joining ASIA SPINE in 2010. Since its establishment, the TNSS has always been supportive of collaboration and communication with the Korean Spinal Neurosurgery Society and the Neurospinal Society of Japan. Through periodical meetings, supported by the TNSS, surgeons worldwide have enjoyed a platform of sharing and mutual learning. To further promote academic research, the TNSS has officially supported the journal Neurospine since 2018. With extensive efforts from local and international surgeons, the TNSS will continue to adhere to its mission and to advance the profession of spine surgery.
The Effects of Incentives to Employees on The innovation and Financial Performance of Chinese Firms
Yi Huang,Sunghwan Kim 한국재무학회 2022 한국재무학회 학술대회 Vol.2022 No.11
본 연구는 첨단기술기업과 인센티브 관련 활동이 2,517개 중국 상장된 기업의 재무성과 및 기술혁신에 미치 는 영향을 상하이 및 선전 증권거래소에 조사하였다. 또한 본 연구는 RESSET 데이터베이스와 CSMAR 데이터 베이스에서 21,277개의 기업연도 관측치를 병합한 패널 데이터를 사용하였다. 특히 본 연구에서는 LM과 Hausman 검정과 같은 모델 선택 과정을 통해 REM과 OLS와 같은 다른 인기 있는 회귀모형에 비해 선택이 가 장 적합한 모델인 FEM을 사용하였다. 본 연구의 결과를 요약하면 다음과 같다. 첫째, 핵심기술직원에 대한 지분 인센티브 제공이 장단기적으로 기업의 기술혁신에 긍정적인 영향을 미친다. 둘째, 경영진 지분이 단기적으로 기업의 기술혁신에 긍정적인 영향을 미치지만, 장기적으로는 그렇지 않다. 셋째, 핵심기술직원에 대한 지분 인센티브 제공이 장단기적으로 기업성과에 부정적인 영향을 미친다. 넷째, 경영진 지분이 단기적으로 그리고 3년 이내의 기업성과에 긍정적인 영향을 미친다. This study investigated the effects of high-tech firms, and incentive-related activities on the financial performance and technological innovation of 2,517 Chinese listed firms on Shanghai and Shenzhen Stock Exchanges. Moreover, this study used 21,277 firm-year panel data, extracted from a merged data set of the RESSET database and the CSMAR database. In particular, this study used an FEM, selection as the best-fit model over other popular regression models, such as REM and OLS, through a model selection process such as LM and Hausman tests. First, equity incentives of technician employees positively affect technological innovation in the short and long run. Second, management shareholding has a positive effect on technological innovation in the short run, but not in the long run. Third, equity incentives of technician employees have a negative effect on performance in the short and long run. Fourth, management shareholding has a positive effect on performance in the short run and within 3 years.
The Effect of Beta-Herding on Taiwan’s Market: DCC-MIDAS Approach
Yi Chang Chen Cong Huang,Chunxiu Qiu,Yantong Jin,Xinyi Ma 한국유통과학회 2017 KODISA ICBE (International Conference on Business Vol.2017 No.-
The aim of this study is to investigate the herding of beta transmission between return and volatility. We have used the dynamic conditional correlation model with the mixed-data sampling (DCC-MIDAS) model for the analysis. Evidence demonstrates that herding is a key transmitter in Taiwan’s stock market. The significant estimation of DCC-MIDAS explains the herding phenomenon is highly dynamic and time-varying in herding behavior. By means of time-varying beta of herding based on our rolling forecasting method and robustness check of the Markov switching regression approach using four types of portfolios, we find evidence of superior forecasting ability of the model indicates that there are conditional correlations between betas and herding. The evidence also reveals herding formation in Taiwan’s markets during the subprime crisis period.
Huang, Chang-Yi,Nixon, Peter F.,Duggleby, Ronald G. Korean Society for Biochemistry and Molecular Biol 1999 Journal of biochemistry and molecular biology Vol.32 No.1
Pyruvate decarboxylase (PDC) catalyzes the conversion of pyruvate to acetaldehyde as the penultimate step in alcohol fermentation. The enzyme requires two cofactors, thiamin diphosphate (ThDP) and $Mg^{2+}$, for activity. Zymomonas mobilis PDC shows a strong preference for pyruvate although it will use the higher homologues 2-ketobutyrate and 2-ketovalerate to some extent. We have investigated the effect of mutagenesis of valine 111 and leucine 112 on the substrate specificity. V111 was replaced by glycine, alanine, leucine, and isoleucine while L112 was replaced by alanine, valine, and isoleucine. With the exception of L112I, all mutants retain activity towards pyruvate with $k_{cat}$ values ranging from 40% to 139% of wild-type. All mutants show changes from wild-type in the affinity for ThDP, and several (V111A, L112A, and L112V) show decreases in the affinity for $Mg^{2+}$. Two of the mutants, V111G and V111A, show an increase in the $K_m$ for pyruvate. The activity of each mutant towards 2-ketobutyrate and 2-ketovalerate was investigated and some changes from wild-type were found. For the V111 mutants, the most notable of these is a 3.7-fold increase in the ability to use 2-ketovalerate. However, the largest effect is observed for the L112V mutation which increases the ability to use both 2-ketobutyrate (4.3-fold) and 2-ketovalerate (5.7-fold). The results suggest that L112 and, to a lesser extent, V111 are close to the active site and may interact with the alkyl side-chain of the substrate.