Single Electronic Drive Controlling Two Synchronous Motors Via Modified Vector Control

Danbing Seto,Fanping Sun,jacek F Gieras,Nobert A.M Hootsmans,M.Hootsmans 전력전자학회 2003 JOURNAL OF POWER ELECTRONICS Vol.3 No.1

A novel control scheme of using a single electronic drive to synchronize two synchronous motors is investigated analytically. The developed control strategy extends the conventional vector control technology Specifically, it utilizes the property that the motion of two motors can be independently controlled by the q-axis currents provided the desired q-axis currents can be achieved by adjusting physical armature currents. The latter part is indeed guaranteed by adding a position offset to one of the motors This work has a potential of cost saving in practice where the cost of drive is a major concern.<br/>

A Cloud Model-based Knowledge Mapping Method for Historic Building Maintenance based on Building Information Modelling and Ontology

Pin-Chan Lee,Wei Xie,Tzu-Ping Lo,Danbing Long,Xiaofei Tang 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.8

The maintenance of historic buildings requires a systematic approach to construct and reuse maintenance knowledge. Maintenance knowledge of historic buildings has extensive and specific knowledge, but a small number of experts provide most of experience. With the rapid development of building information modelling (BIM), it can facilitate maintenance management of historic buildings. Recently, research on connecting ontology and BIM was discussed to promote building knowledge management (BKM). However, BKM is less applied in historic buildings and connection strength is also less discussed. Connection strength of knowledge mapping can increase the performance of knowledge retrieval. Therefore, this study aims to build connection between maintenance ontology of historic buildings and BIM, and also proposes a cloud model-based knowledge mapping method to evaluate the connection strength. This study uses FMEA (failure mode and effects analysis) to connect ontology and BIM, and the grey relational analysis to evaluate the connection strength. Meanwhile, cloud model is integrated into FMEA to better deal with uncertain information to increase the reliability. This study adopts a real case to valid the practicability. The results show the proposed method can evaluate the connection strengths with uncertain information and obtain the maintenance knowledge more efficiently.

Dynamic Analysis of Construction Safety Risk and Visual Tracking of Key Factors based on Behavior-based Safety and Building Information Modeling

Pin-Chan Lee,Junhao Wei,Hsin-I Ting,Tzu-Ping Lo,Danbing Long,Luh-Maan Chang 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.10

Construction has long been seen as a high-risk industry. Many studies conduct risk management by controlling construction risk indicators, but few studies associate risk indicators with time and space to propose long-term risk management methods. Therefore, this study proposes a dynamic analysis and visual tracking method based on behavior-based safety (BBS). This study establishes a BBS observation checklist and records workers’ unsafe behavior. The risk level of unsafe behavior is then determined by grey clustering model. When a high risk occurs, an improved grey correlation model is used to track key indicators that affect risk. In order to achieve visual risk management, this study develops semantic logic to predefine the relationship between components and space. In schedule simulation of BIM, the key indicators of BBS are transformed into an executable visual inspection between work items, components, and space through ARC. This method makes it easier for construction managers to combine time and space to manage safety risk and to adopt appropriate strategies in a timely manner to improve the efficiency of safety management.

A Risk Management System for Deep Excavation Based on BIM-3DGIS Framework and Optimized Grey Verhulst Model

Pin-Chan Lee,Li-Long Zheng,Tzu-Ping Lo,Danbing Long 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.3

Risk management of deep excavation is always an important issue. One of the core problems is to accurately simulate and predict the time series of displacement collected from the site sensors to monitor the risk variation. Meanwhile, the applications of building information modelling (BIM) and geographic information system (GIS) can integrate the construction structures into the surrounding environment, visualizing various information and supporting decision making for risk treatment. Therefore, this paper proposes a risk management system to monitor the risk variation for deep excavation based on optimized grey Verhulst model (GVMm), BIM-3DGIS framework and risk monitoring. The grey Verhulst model (GVM) has demonstrated well performance on saturation curve, such as displacement of deep excavation. This paper establishes the GVMm by improving GVM to predict the displacement more precisely. BIM-3DGIS framework is also built by integrating BIM and 3DGIS in the application level for the efficiency of system operation and the interaction with the risk management platform. BIM-3DGIS framework, working with the risk management platform, can monitor the risk variation of deep excavation effectively and provide visual decision-making supports. A real case of deep excavation is used as an illustrative example to verify the practicability. The results show that the prediction precision of GVMm is better than that of GVM. The application scenarios also demonstrate the effectiveness of the risk management system.

An Efficient Design Support System based on Automatic Rule Checking and Case-based Reasoning

Pin-Chan Lee,Tzu-Ping Lo,Ming-Yang Tian,Danbing Long 대한토목학회 2019 KSCE Journal of Civil Engineering Vol.23 No.5

A well building design support system can not only meet the rules but also automatically recommend the appropriate alternatives for designers, but most modifications now are conducted in the manual way. Although the method of automatic rule checking can effectively identify the compliance of rules in Building Information Modeling (BIM) models, recommendation supports are still lacked in applications. This paper aims to propose a design support system, using automatic rule checking to identify the compliance of rules and adopting case-based reasoning to provide recommendations via ontology and semantics. The AHP-TOPSIS (Analytic hierarchy process-Technique for Order Preference by Similarity to an Ideal Solution) method is used to give reliable recommendations rank. A real case is adopted as an illustrative example. Results show that the proposed system can increase the design efficiency in both design checking and modifying. Similar applications can be extended to other fields and rules.

Genetic Diversity and Physiological Response to Drought Stress of Chamaecyparis obtuse from Six Geographical Locations

( Tae-lim Kim ),( Kyungmi Lee ),( Wonwoo Cho ),( Danbe Park ),( Il Hwan Lee ),( Hyemin Lim ) 한국육종학회 2021 Plant Breeding and Biotechnology Vol.9 No.2

Water deficit is a critical factor obstructing the growth and survival of plant. Therefore, researchers have been trying to develop drought-resistant varieties. To find indicators of drought stress-tolerance of cypress (Chamaecyparis obtusa), we analyzed the response of cypress seedlings from six provenances of Korea (Jeju, Suwon, Seoul, Seongnam, Yong-in, and Osan) to drought stress. Additionally, the genetic diversity of C. obtusa from the six provenances were determined using microsatellite markers. We confirmed that populations from Suwon and Seongnam were relatively separated from other populations through genetic distance and cluster analysis. We examined their physiologic and metabolic responses after drought treatment for five weeks. Almost all of the cypress seedlings showed a reduced shoot growth rate under drought treatment compared to controls. In addition, temperature of drought treated cypress seedling leaves was 1.2-2℃ higher than that of the controls. Almost all of the drought stress-treated cypress showed increased carbon metabolite contents and pigments. In particular, the cypress seedlings from Osan showed the highest increase in all of the measured metabolites. Therefore, it is suggested that the seedlings from Osan are susceptible to drought stress. Conversely, the seedlings from Jeju, Suwon, and Yong-in showed a lower sensitivity to drought treatment. These results indicate that the cypress trees from the six provenances have a different response to drought stress. In addition, it is confirmed that previously identified indicators of drought stress, especially those that measure total soluble sugar, carotenoid, and H2O2, can be used in the selection of drought resistance cypress. These findings may useful in studies concerned with the metabolic and physiological responses of young cypress to drought.