A Model Deformation Approach for 3D Reconstruction

Yung-Yang Chiang,Min-Liang Wang,Huei-Yung Lin,Pei-Yung Lee,Chin-Chen Chang 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.12

In this paper, we present a model deformation approach based on a visual hull technique for improving 3D reconstruction. The proposed approach combines the exquisite 3D model derived by active acquisition methods and the constraints from the rough 3D model derived by passive methods. We take the advantages of active and passive methods to obtain a 3D model with the better quality. The clustering method is adopted to segment 3D models into several sub-models and we then match the sub-models individually via an iterative closest point algorithm. Three testing 3D models are used for evaluating the proposed approach. The results demonstrate the feasibility of the proposed approach.

Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder

Pao-Huan Chen(Pao-Huan Chen),Chun-Ming Shih(Chun-Ming Shih),Chi-Kang Chang(Chi-Kang Chang),Chia-Pei Lin(Chia-Pei Lin),Yung-Han Chang(Yung-Han Chang),Hsin-Chien Lee(Hsin-Chien Lee),El-Wui Loh(El-Wui Lo 대한정신약물학회 2023 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.21 No.2

Objective: Predicting disease relapse and early intervention could reduce symptom severity. We attempted to identify potential indicators that predict the duration to next admission for an acute affective episode in patients with bipolar I disorder. Methods: We mathematically defined the duration to next psychiatric admission and performed single-variate regressions using historical data of 101 patients with bipolar I disorder to screen for potential variables for further multivariate regressions. Results: Age of onset, total psychiatric admissions, length of lithium use, and carbamazepine use during the psychiatric hospitalization contributed to the next psychiatric admission duration positively. The all-in-one found that hyperlipidemia during the psychiatric hospitalization demonstrated a negative contribution to the duration to next psychiatric admission; the last duration to psychiatric admission, lithium and carbamazepine uses during the psychiatric hospitalization, and heart rate on the discharge day positively contributed to the duration to next admission. Conclusion: We identified essential variables that may predict the duration of bipolar I patients’ next psychiatric admission. The correlation of a faster heartbeat and a normal lipid profile in delaying the next onset highlights the importance of managing these parameters when treating bipolar I disorder.

Morphological Responses of Grapevine Root to Copper Stress Given Different Calcium Nutritional Levels

Pei-Yi Chen,Kai-Wei Juang,Bo-Ching Chen,Yung-I Lee 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Customer Knowledge Management -A Case Study of Taiwan`s Plastic Industry

( Yung Ching Ho ),( Hsin Pin Fu ),( Chun Fa Niu ),( Pei Hsiang Chien ) 한국품질경영학회 2004 The Asian Journal on Quality Vol.5 No.2

The Outcome of Antipsychotics-induced Tardive Syndromes: A Ten-year Follow-up Study

Pei-Chien Chou,Yu Lee,Yung-Yee Chang,Pao-Yen Lin,Liang-Jen Wang 대한정신약물학회 2023 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.21 No.3

Objective: Tardive syndrome (TS) is an umbrella term used to describe a group of abnormal movement disorders caused by chronic exposure to dopamine receptor blocking agents. Few follow-up studies have been performed on the outcome of TS in patients using antipsychotics. The purpose of our study was to investigate the prevalence, incidence, remission rate, and factors associated with remission in patients using antipsychotics. Methods: This retrospective cohort study consisted of 123 patients who received continuous treatment of antipsychotics in a medical center in Taiwan, from April 1, 2011 to May 31, 2021. We assessed the demographic and clinical characteristics, prevalence, incidence, remission rate, and factors associated with remission in patients using antipsychotics. TS remission was defined as a Visual Analogue Scale score ≤ 3. Results: Of the 92 patients who completed the 10-year follow-up, 39 (42.4%) were found to have at least one episode of TS, with tardive dyskinesia (TD) being the most prevalent subtype (51.3%). With regard to concurrent physical illness, a history of extrapyramidal symptoms were significant risk factors for TS. During the 10-year follow-up period, the remission rate of TS was 74.3%. The use of antioxidants including vitamin B6 and piracetam was related to the remission of TS. Patients with tardive dystonia had a higher remission rate (87.5%) compared to TD (70%). Conclusion: Our study suggests that TS may be a treatable condition, and the key to a better outcome is early detection and prompt intervention, including closely monitoring antipsychotics-related TS symptoms and using antioxidants.

A Correlation between the Severity of Lung Lesions on Radiographs and Clinical Findings in Patients with Severe Acute Respiratory Syndrome

Yung-Liang Wan,Pei-Kwei Tsay,Yun-Chung Cheung,Ping-Cherng Chiang,Chun-Hua Wang,Ying-Huang Tsai,Han-Ping Kuo,Kuo-Chien Tsao,Tzou-Yien Lin 대한영상의학회 2007 Korean Journal of Radiology Vol.8 No.6

Objective: The purpose of this study was to quantify lesions on chest radiographs in patients with severe acute respiratory syndrome (SARS) and analyze the severity of the lesions with clinical parameters. Materials and Methods: Two experienced radiologists reviewed chest radiographs of 28 patients with SARS. Each lung was divided into upper, middle, and lower zones. A SARS-related lesion in each zone was scored using a four-point scale: zero to three. The mean and maximal radiographic scores were analyzed statistically to determine if the scorings were related to the laboratory data and clinical course. Results: Forward stepwise multiple linear regression showed that the mean radiographic score correlated most significantly with the number of hospitalized days (p < 0.001). The second most significant factor was the absolute lymphocyte count (p < 0.001) and the third most significant factor was the number of days of intubation (p = 0.025). The maximal radiographic score correlated best with the percentage of lymphocytes in a leukocyte count (p < 0.001), while the second most significant factor was the number of hospitalized days (p < 0.001) and the third most significant factor was the absolute lymphocyte count (p = 0.013). The mean radiographic scores of the patients who died, with comorbidities and without a comorbidity were 11.1, 6.3 and 2.9, respectively (p = 0.032). The corresponding value for maximal radiographic scores were 17.7, 9.7 and 6.0, respectively (p = 0.033). Conclusion: The severity of abnormalities quantified on chest radiographs in patients with SARS correlates with the clinical parameters.

Customer Knowledge Management--A Case Study of Taiwan's Plastic Industry

Ho, Yung-Ching,Fu, Hsin-Pin,Niu, Chun-Fa,Chien, Pei-Hsiang The Korean Society for Quality Management 2004 The Asian Journal on Quality Vol.5 No.2

This paper investigates customer knowledge management activities of Taiwan's plastic industries. The results demonstrate that the bulk of customer knowledge comes from data related to customer purchase orders and complaints. Furthermore, marketing, production, and research and development are the main departments that developed and reuse customer knowledge. The benefits derived from knowledge management for enterprises do not vary with the position of the vendor on the business scope. In addition, the benefits derived by customers from knowledge management are directly related to the benefits gained by the five major business functions, while the benefits derived from the customer knowledge management are also directly related to customer satisfaction. Summarizing the above results, an Acquisition-Development-Reuse (ADR) model is proposed and can provide the enterprises with a systematic reference model when the business attempts to construct a customer knowledge management system.

EEG Nonlinear Interdependence Measure of Brain Interactions under Zen Meditation

Huang, Hsuan-Yung,Lo, Pei-Chen The Korean Society of Medical and Biological Engin 2008 의공학회지 Vol.29 No.4

This work investigates the characteristics of brain interactions of experienced Zen-Buddhist practitioners by obtaining multichannel EEG (electroencephalogram) data. Brain interactions were compared among three phases-40-minute meditation (M), 5-minute Chakra-focusing practice (Z) and rest with closed eyes (R). The similarity index S, developed in nonlinear dynamical system theory, was employed to measure the degree of possibly asymmetric coupling. Meditators exhibited, overall, stronger interactions among multiple cortical areas in meditation stages M and Z than in the R state. This enhancement was greater in the M stage when the meditator was accompanied by a thought-free and fully consciousness state. In the high-frequency band (>13Hz), the interdependence was also higher in both meditation stages than at baseline rest. However, the interaction strength, especially in the posterior regions, was greatest in the Z stage, which involved internal attention. Few electrode pairs were observed with significant pair-wise asymmetry in the Z state. The similarity is a possible characteristic of dense reciprocal and strong mutual interactions between multiple cortical areas during meditation - especially in the Z state in the high-frequency band. These results demonstrate that profound Zen meditation induces various dynamic states in different phases of meditation, possibly reflected by nonlinear interdependence measure.

Role of Salivary Immune Parameters in Patients With Primary Sjögren’s Syndrome

Yu-Hung Hung,Yung-Hung Lee,Pei-Pei Chen,Yuan-Zhao Lin,Chia-Hui Lin,Jeng-Hsien Yen 대한진단검사의학회 2019 Annals of Laboratory Medicine Vol.39 No.1

Background: Several factors, including clinical manifestations and laboratory data, have been used to evaluate the disease activity of Sjögren’s syndrome (SS). We investigated saliva indicators of disease activity in primary SS patients. Methods: We enrolled 138 Taiwanese patients with primary SS and 100 Taiwanese normal controls. Interleukin (IL)-6, IL-17A, tumor necrosis factor-alpha (TNF-α), and rheumatoid factor (RF)-IgA levels in saliva samples were measured using ELISA or fluorescent enzyme-linked immunoassay. Serum IgG, IgA, and IgM levels were measured by nephelometry. Erythrocyte sedimentation rate (ESR) was measured with an automatic ESR analyzer. The t-test and Pearson correlation test were used. Results: IL-6 level was higher in primary SS patients than in normal controls (14.23±14.77 vs 9.87±7.32, P=0.012), but there were no significant differences in IL-17A, TNF-α, and RF-IgA levels. In primary SS patients, IL-6 level correlated weakly with ESR and IgG levels (r=0.252, P=0.015, and r=0.248, P=0.017, respectively), and TNF-α level correlated weakly with IgG level (r=0.231, P=0.024). Conclusions: IL-6 may play a role in SS pathogenesis. Saliva IL-6 might be an indicator of disease activity in primary SS patients.

A GPU-based Two Dimensional Flood Simulation System

Kuo-Chan Hung,Chih-Yung Feng,Kun-Huai Cheng,Pei-Cheng Tsao1,Hung-Kwai Chen 한국방재학회 2016 Journal of Disaster Management Vol.1 No.1

Abstract A GPU-based flood simulation system is developed in this research. The system comprises two main components: a GPU-lized two bdimensional flood simulation model named GLMRT and a web-GIS user interface. GLMRT is designed and constructed with following features. First, GLMRT is constructed based on Lattice Boltzmann method(LBM) and two dimensional shallow water equations. Second, GLMRT is combined with sink/source terms including excess rainfall and pump-like drainage. Third, a dry-wet boundary determining mechanism is considered in GLMRT. Fourth, real DEM data can be used in simulating water movement on the land surface. Finally, GPU accelerated technique is integrated into GLMRT to overcome the issue of time cost in calculation. The web-GIS based user interface is built based on cloud platform to assist data flow organization and real time simulation. The interface integrates real DEM data and receives precipitation estimation products from the Taiwan Typhoon and Flood Research Institute(TTFRI) and Central Weather Bureau(CWB). The simulation results would be displayed on the web-GIS via file and database transfer. Besides, a real time rendering technique based on real time simulation is developed, too. The real time rendering technique displays the simulation results via memory on GPU device and eliminates the time cost in data output. GLMRT solves a 800-second simulation of Zengwen Reservoir virtual dam break with 2,046x1,525 DEM grids (40 m resolution) within 140.11 seconds on the NVIDIA Tesla K20c. Compare to the 60,919 seconds computation time on the Intel?? Xeon?? CPU X5650 2.66GHz, the GLMRT gets a speedup of 438x. On the other hand, using GLMRT alone to simulate a 12-hour rainfall duration induced inundation would spend about 1.2 hours, which can provide buffer time for the requirement of flood prevention operation. Abstract A GPU-based flood simulation system is developed in this research. The system comprises two main components: a GPU-lized two bdimensional flood simulation model named GLMRT and a web-GIS user interface. GLMRT is designed and constructed with following features. First, GLMRT is constructed based on Lattice Boltzmann method(LBM) and two dimensional shallow water equations. Second, GLMRT is combined with sink/source terms including excess rainfall and pump-like drainage. Third, a dry-wet boundary determining mechanism is considered in GLMRT. Fourth, real DEM data can be used in simulating water movement on the land surface. Finally, GPU accelerated technique is integrated into GLMRT to overcome the issue of time cost in calculation. The web-GIS based user interface is built based on cloud platform to assist data flow organization and real time simulation. The interface integrates real DEM data and receives precipitation estimation products from the Taiwan Typhoon and Flood Research Institute(TTFRI) and Central Weather Bureau(CWB). The simulation results would be displayed on the web-GIS via file and database transfer. Besides, a real time rendering technique based on real time simulation is developed, too. The real time rendering technique displays the simulation results via memory on GPU device and eliminates the time cost in data output. GLMRT solves a 800-second simulation of Zengwen Reservoir virtual dam break with 2,046x1,525 DEM grids (40 m resolution) within 140.11 seconds on the NVIDIA Tesla K20c. Compare to the 60,919 seconds computation time on the Intel?? Xeon?? CPU X5650 2.66GHz, the GLMRT gets a speedup of 438x. On the other hand, using GLMRT alone to simulate a 12-hour rainfall duration induced inundation would spend about 1.2 hours, which can provide buffer time for the requirement of flood prevention operation.