International conference on construction engineering and project management
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2022.06a
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pp.1249-1249
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2022
The facade, an exterior material of a building, is one of the crucial factors that determine its morphological identity and its functional levels, such as energy performance, earthquake and fire resistance. However, regardless of the type of exterior materials, huge property and human casualties are continuing due to frequent exterior materials dropout accidents. The quality of the building envelope depends on the detailed design and is closely related to the back frames that support the exterior material. Detailed design means the creation of a shop drawing, which is the stage of developing the basic design to a level where construction is possible by specifying the exact necessary details. However, due to chronic problems in the construction industry, such as reducing working hours and the lack of design personnel, detailed design is not being appropriately implemented. Considering these characteristics, it is necessary to develop the detailed design process of exterior materials and works based on the domain-expert knowledge of the construction industry using artificial intelligence (AI). Therefore, this study aims to establish a detailed design automation algorithm for AI-based condition-responsive exterior wall panels and their back frames. The scope of the study is limited to "detailed design" performed based on the working drawings during the exterior work process and "stone panels" among exterior materials. First, working-level data on stone works is collected to analyze the existing detailed design process. After that, design parameters are derived by analyzing factors that affect the design of the building's exterior wall and back frames, such as structure, floor height, wind load, lift limit, and transportation elements. The relational expression between the derived parameters is derived, and it is algorithmized to implement a rule-based AI design. These algorithms can be applied to detailed designs based on 3D BIM to automatically calculate quantity and unit price. The next goal is to derive the iterative elements that occur in the process and implement a robotic process automation (RPA)-based system to link the entire "Detailed design-Quality calculation-Order process." This study is significant because it expands the design automation research, which has been rather limited to basic and implemented design, to the detailed design area at the beginning of the construction execution and increases the productivity by using AI. In addition, it can help fundamentally improve the working environment of the construction industry through the development of direct and applicable technologies to practice.
Journal of Practical Agriculture & Fisheries Research
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v.12
no.1
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pp.137-150
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2010
Traditionally, like many people in mountain region of the Himalaya, the Lwang communities depend on mix of subsistence agriculture, animal husbandry, and seasonal migrant labor for their livelihoods. These traditional systems are characterized by low productivity, diverse use of available natural resources (largely for home consumption), limited markets, and some aversion for innovation. The potential to generate wealth through commerce has largely been untapped by these mountain residents and thus is undervalued in local and national economies. Introduction of organic tea farming is a part of Lwang community's several initiatives to break the vicious poverty cycle Annapurna Conservation Area Project (ACAP) played facilitating roles in all their efforts since beginning. In five years, the tea plantation emerged as a new means for secured a livelihood. This study aims to analyze the current practices in tea farming both in terms of farm management and soil nutrient status(technical) and the prosperity of the tea farmers (social). The technical aspect covers the soil and tea leaf analysis of various nutrients contents in the soil and tea leaf. Originally, the technical aspect of the study was not planned but later during the consultation with the advisor it was taken into consideration which added value to the research study. The sample were collected from different locations and analyzed on the field itself. The other part of the study i.e. the social aspect was done through questionnaire survey and focus group discussion. the tea farming provided them not only a new opportunity but also earned an identity in the region. This initiative was undertaken as a piloting measure. Now that the tea is in production with processing unit established locally, more serious consideration has to be given for better yield and economic prosperity. This research finding will help the community to analyze their efforts and make correction measures in tea garden management and application of fertilizer. It is also expected to fill up the gaps of knowledge and information required to reduce economic stresses and enhance capacity of farmers to make the tea farming a sustainable and beneficial business. The findings are expected to Sustainability of organic tea farming has direct impacts on biodiversity conservation compared to the other traditional farming practices that are more resource intensive. The study will also contribute to identify key action points required for reducing poverty while conserving environment and enhancing livelihoods
Journal of the Korea Society of Computer and Information
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v.14
no.10
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pp.55-61
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2009
This paper describes a point of production(POP) system which collects and manages real-time shop floor machining information in a wafer dicing process. The system are composed of POP terminal, line controller and network. In the configuration of the system, LAN and RS485 network are used for connection with the upper management system and down stratum respectively. As a bridge between POP terminal and server, a line controller is used. The real-time information which is the base of production management are collected from information resources such as machine, product and worker. The collected information are used for the calculation of optimal cutting condition. The collection of the information includes cutting speed, spout of pure water, accumulated count of cut in process for blade and wafer defect. In order to manage machining information in wafer dicing process, production planning information is delivered to the shop floor, and production result information is collected from the shop floor, delivered to the server and used for managing production plan. From the result of the system application, production progress status, work and non-working hour analysis for each machine, and wafer defect analysis are available, and they are used for quality and productivity improvements in wafer dicing process. A case study is implemented to evaluate the performance of the system.
Seung-Kyu Yoo;Jae-Kyu Choi;Ju-Hyung Kim;Jae-Jun Kim
International conference on construction engineering and project management
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2011.02a
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pp.432-438
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2011
The purpose of the present thesis is to develop bankruptcy prediction models capable of being applied to the Korean construction industry and to deduce an optimal model through comparative evaluation of final developed models. A study population was selected as general contractors in the Korean construction industry. In order to ease the sample securing and reliability of data, it was limited to general contractors receiving external audit from the government. The study samples are divided into a bankrupt company group and a non-bankrupt company group. The bankruptcy, insolvency, declaration of insolvency, workout and corporate reorganization were used as selection criteria of a bankrupt company. A company that is not included in the selection criteria of the bankrupt company group was selected as a non-bankrupt company. Accordingly, the study sample is composed of a total of 112 samples and is composed of 48 bankrupt companies and 64 non-bankrupt companies. A financial ratio was used as early predictors for development of an estimation model. A total of 90 financial ratios were used and were divided into growth, profitability, productivity and added value. The MDA (Multivariate Discriminant Analysis) model and BLRA (Binary Logistic Regression Analysis) model were used for development of bankruptcy prediction models. The MDA model is an analysis method often used in the past bankruptcy prediction literature, and the BLRA is an analysis method capable of avoiding equal variance assumption. The stepwise (MDA) and forward stepwise method (BLRA) were used for selection of predictor variables in case of model construction. Twenty two variables were finally used in MDA and BLRA models according to timing of bankruptcy. The ROC-Curve Analysis and Classification Analysis were used for analysis of prediction performance of estimation models. The correct classification rate of an individual bankruptcy prediction model is as follows: 1) one year ago before the event of bankruptcy (MDA: 83.04%, BLRA: 93.75%); 2) two years ago before the event of bankruptcy (MDA: 77.68%, BLRA: 78.57%); 3) 3 years ago before the event of bankruptcy (MDA: 84.82%, BLRA: 91.96%). The AUC (Area Under Curve) of an individual bankruptcy prediction model is as follows. : 1) one year ago before the event of bankruptcy (MDA: 0.933, BLRA: 0.978); 2) two years ago before the event of bankruptcy (MDA: 0.852, BLRA: 0.875); 3) 3 years ago before the event of bankruptcy (MDA: 0.938, BLRA: 0.975). As a result of the present research, accuracy of the BLRA model is higher than the MDA model and its prediction performance is improved.
Korean Journal of Construction Engineering and Management
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v.25
no.2
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pp.3-10
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2024
The purpose of this study is to analyze the effects of smart construction equipment applied at the construction site of the first smart city in the Korea and derive an application strategy for the utilization of smart construction equipment. To achieve this, aythors examined the practical effects and issues of safety systems and construction systems utilizing machine guidance (MG) technology, which is a representative smart construction equipment used in civil engineering construction sites. Both the MG safety system and MG construction system were found to be sufficiently effective in improving construction productivity. However, there are challenges that need to be addressed, such as the approval process for work results using MG systems, system changes due to frequent replacement of on-site equipment, and usability improvements for elderly on-site workers. The study presented some solutions that have been implemented on-site to address these issues. The utilization effects and issues presented in the study were analyzed through direct feedback from workers and managers who have utilized the MG technology on-site for a considerable period of time. These results can be used as preliminary data for the similar construction projects, considering the limited availability of empirical analysis data for equipment automation.
With the implementation of the Northeast Revitalization Strategy, the tourism industry in Heilongjiang Province had an increasingly greater impact on regional economic development. Based on the tourism panel data of Heilongjiang Province from 2005 to 2021, this paper used DEA-BCC and Malmquist Index to analyze the static and dynamic changes of the tourism industry.The results of the study were as follows: (1) Static: The OE value reached strong DEA effectiveness in 2010, 2013, and 2019, indicated that tourism resources had been fully utilized. The SE value changed dramatically between 0.354 and 1, and the PTE value approached 1. OE was mainly affected by SE changes. (2) Dynamic: The total factor productivity (TFP) was overall greater than 1 and grew at an average annual rate of 13.8%. The variation in TFP was primarily influenced by the index of technological progress, indicated that the tourism industry in Heilongjiang Province made full use of technology for resource development, with a relatively high level of development efficiency. Therefore, the future focus of Heilongjiang Province's tourism industry will be on adjustments in industrial scale, technological innovation, and policy optimization.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.9
no.5
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pp.83-94
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2014
Before economical crisis in 1997, domestic company focused on increasing the size of outward experience which including organization. The result of increasing outward experience without substance was economical crisis, so after that time, many companies have been changing their focus from insourcing to strengthen the core competence to secure global market. This is becoming a cause of following that companies are reducing their outward experience. Especially, to process tasks more effectively and to cope with rapid change of business environment, such as incoming raw material from overseas/high raising of salary/rising property prices, many companies decided outsourcing method. At most of hypothesis, the result was that outsourcing can affect positively to the business. First, introducing of outsourcing during focusing on core competence can be positive effect for company performance such as business management /productivity /procurement /administration /product competitiveness /technology. Second, the result that analyzed based on a point of view of population statics after outsourcing was positive effect at the most of research. Third, result of effectiveness for every outsourcing type classified by 4M was also can be positive at the most of research. Fourth, the characteristic of population statics can be positive effect at the most of category when select outsourcing companies. Research result of outsourcing was various based on the goal of outsourcing. It is revealed by investigation of domestic/overseas treatise that there are opposite two opinions. In this research, there is no consistent result that the outsourcing can give effects on business performance, but most of hypothesis indicates that outsourcing can give positive effect on the business performance.In this research, based on the outsourcing intensity, mutual relation was analyzed. The assumption of the reason of outsourcing is economical and organizational. First, sampling numbers of research was too small so it is too difficult to get significant business performance result. (Sampling : 150, Replied : 106, Rate of Reply : 71%) Second, tried to compare significant differences of outsourcing methods which were divided based on 4M, but the there is gaps between the number of Cell and too difficult to make replier understand. Third, it is tried to find the degrees of effect that the point of view of popular statics can effect on business performances and selection of outsourced companies.
Background : A continuous healthcare quality improvement is needed to provide high quality healthcare service as well as to maintain trust in terms of satisfying the needs of the patients. Recently it also became an essential issue. in hospital management, recognized for it's competitive potentiality among healthcare organization groups. This study was conducted to analyze patient complaints and issues received by the Quality Improvement Department. Its purpose is to improve healthcare qualities within the hospital, as well as establish policies and appropriate strategies in hospital management. Method : From July 1st to September 30th of the year 1999, we analyzed all complaints and issues made by various patients and their families, which were received through 24 hour phone consultation, numerous suggestion boxes, letters and E-mails, The issues were classified into 16 different categories based on a Patient Satisfaction Assessment Tool. All data were segregated according to the departmental frequencies and their contents. To come up with for environmental and patient satisfaction improvement, all complaints or issues were communicated with hospital administrators, medical and nursing staff and employees. Comprehensive customer satisfaction activities including improving phone etiquette were discussed in Customer Satisfaction Team, CQI Team and each Department. All opportunities for improvement were implemented. Feedback actions were discussed. Results : A total of 317 cases were collected. Issues regarding parking and other accommodation facilities were most common complaints that were 14.5% of total. Issues regarding admission rooms (10.7%), admission procedures (10.7%), waiting room environment (8.8%), nurses and nurse assistants (7.6%), physicians (6.6%) and others (23%) followed. Thirteen of 45 departments received more than 8 complaints. The Nursing Department had the most complaint, receiving 9.8% of total complaints. Complaints regarding the Nursing Department were predominantly related to the environment of patient rooms. The Department of Psychiatry for phone etiquette (4.7%), Department of Otolaryngology for the nursing staff's attitude and phone etiquette (4.4%), and the Admission Department followed. As a part of efforts to improve patient satisfaction, a new parking structure was built and reallocation of the parking space was done. Renovation of other accommodation facilities were carried out by hospital administration, Monthly phone call and answering attitude survey was done by QI Department. Based on this survey we made a phone etiquette manual and distributed throughout the hospital. Compare to the last year, Patient Satisfaction Index measured by Korea Productivity Center using National Customer Satisfaction Index was improved 7 points. According to our organization's own study, we confirmed the phone etiquette was improved 11% than last year. Conclusions : Issues related to parking and other accommodation facilities ranked first followed by complaints made regarding the patient care area, the admission and cashier process, and nurses' and doctors' attitude. The Nursing and Psychiatry Departments need improvement regarding phone etiquette. Results were shared and played a vital role in policymaking and strategic planning of the hospital. It is imperative that we keep our database updated by listening to and solving the needs of each patient. The CQI activities can be achieved only by full commitment of the hospital top management supported by related personal.
For the improvement of productivity of beekeepers and to develop new management strategy through the analysis of current honeybee-keeping management types and evaluation of related skills and basis in Korea were surveyed. The serial surveys were carried out in 2008 for a total of 253 beekeepers from different localities in Korea. The results revealed that 145.9 colonies of honeybee were managed by each beekeeper in Korea. The beekeepers group who were younger than 55 years possessed 191.7 colonies. The older age group of beekeepers kept rather smaller number of colonies. The career groups over 15 years in apiculture were keeping 176.0 colonies in average. The numbers of bee colonies were not significantly different among localities and educational backgrounds. The migratory apiaries with 145.9 hives were dominant than those fixed ones with 83.0 (p<0.01). It was observed that 57.8% of apiaries were located in the vicinity of farmer's house, whereas 30.3% were managed in mountain area; however older group (65.4%) preferred to keep it near their houses (p<0.05). The proportion (35.7%) of part-time fixed apiary was the highest among four apiary management types. The younger group and high career group operated full-time migratory apiary (38.8% and 40.3%) (p<0.05), respectively. However, the older group and low career group preferred as part-time fixed one (43.2% and 46.6%), respectively (p<0.001). There was no significant difference among localities. The surveyed beekeepers produced propolis, commercial colonies, pollen, royal jelly, and pollination hives in addition to honey. The group of less than 15 years career and mountain apiary mainly produced propolis and pollen. However, those who dwell in small and middle areas mainly produced propolis and commercial colonies. The levels related to beekeeping skills and basis were evaluated as intermediate from 3.11 and 2.86 points on 5 points scale, respectively. More careered group having skill level of 3.33 point and basis level of 3.02 showed higher levels than less careered one. The levels of skill and basis evaluated from age groups and localities were similar with each other with no significance.
A liquid fertilizer treated with slurry composting and biofiltration (SCB) process has been applied increasingly on agricultural field but the effects on the soil properties and crop production has not been throughly evaluated. This study was conducted to investigate the effect of the SCB application on soil chemical properties and the growth of radish and corn. SCB liquid fertilizer as a basal fertilization was treated with five levels based on $6kg\;10a^{-1}$ for radish and $10kg\;10a^{-1}$ for corn. The experimental design was the completely randomized block design with five levels and three replicates. Electrical conductivity (EC), $NO_3$-N, Exch. K and Exch. Na increased depending on the treatment levels of SCB. There were no changes in soil organic matter, Avail. $P_2O_5$, Exch. Ca and Exch. Mg. EC, $NO_3$-N and Exch. Na content decreased as precipitation increased. Especially, they decreased up to the initial condition before the treatment after the heavy rainy season in 2008. Although Exch. K decreased at the rainy season, they remained relatively higher content after the experiment on August, 2008. Fresh weight and the amount of N uptake of radish increased due to the levels of SCB, but corn did not present any significant increase. It is recommended that we need to decide the proper amount of SCB as well as the application method on the field to increase the productivity and decrease environmental stress. Additional experiments also need to clarify the effect of the trace element and heavy metal accumulations due to long term application of SCB.
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