• Title/Summary/Keyword: Data-Dependent Operation

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Adaptive Process Decision-Making with Simulation and Regression Models (시뮬레이션과 회귀분석을 연계한 적응형 공정의사결정방법)

  • Lee, Byung-Hoon;Yoon, Sung-Wook;Jeong, Suk-Jae
    • Journal of the Korea Society for Simulation
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    • v.23 no.4
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    • pp.203-210
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    • 2014
  • This study proposes adaptive decision making method having feed-back structure of regression and simulation models to support the quick decision making of production managers by managing and integrating the mutual relationship among historical data. For that, from historical data that have extracted and accumulated from each process, we first selected major constraint resources that are used as independent variables in regression model. The regression model is designed by using the dependent variables (objectives) that defined above by managers and independent variables selected in previous step and simulation model that are composed of constraint resources is designed. In process of simulation run, we obtain the multiple feasible solutions (alternatives) by using meta-heuristic method. Each solution is substituted by regression equation and we found the optimal solution that is minimum of difference between values obtained by regression model and simulation results. The optimal solution is delivered and incorporated to production site and current operation results from production site is used to generate new regression model after that time.

Implementation of a Mobile Sensor Device Capable of Recognizing User Activities (사용자 움직임 인식이 가능한 휴대형 센서 디바이스 구현)

  • Ahn, Jin-Ho;Park, Se-Jun;Hong, Eu-Gene;Kim, Ig-Jae;Kim, Hyoung-Gon
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.10
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    • pp.40-45
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    • 2009
  • In this paper, we introduce a mobile-type tiny sensor device that can classify the activities of daily living based on the state-dependent motion analysis using a 3-axial accelerometer in real-time. The device consists of an accelerometer, GPS module, 32bit micro-controller for sensor data processing and activity classification, and a bluetooth module for wireless data communication. The size of device is 50*47*14(mm) and lasts about 10 hours in operation-mode and 160 hours in stand-by mode. Up to now, the device can recognize three user activities ("Upright", "Running", "Walking") based on the decision tree. This tree is constructed by the pre-learning process to activities of subjects. The accuracy rate of recognizing activities is over 90% for various subjects.

Perceived Organizational Culture and Psychological Empowerment of Employees in Casino Companies (카지노 종사자의 조직문화 인식과 심리적 임파워먼트)

  • Lee, Youngran;Chang, Jihyun
    • The Journal of Industrial Distribution & Business
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    • v.8 no.5
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    • pp.65-75
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    • 2017
  • Purpose - The purpose of this study is to verify a role of organizational culture as antecedents to influence psychological empowerment of organizational members, focusing on service workers of casino companies. Therefore, this study sought to examine the question of each clan, adhocracy, market, and hierarchy culture that the workers perceive to influence their psychological empowerment. Thus, the current study examined the relationship between organizational culture and the psychological empowerment by empirical analysis. Research design, data, and methodology - This study chose four domestic casino companies that are run only for foreigners. Using an offline survey, it analyzed the questionnaire data of the 249 surveys collected from employees working in the sales and service sectors. Independent variables were four types of organizational culture: clan, adhocracy, market, and hierarchy. Dependent variables were four subcategories of psychological empowerment: meaning, competence, self-determination, and impact. As research methods, the study applied descriptive statistics, factor analysis, reliability analysis, correlation analysis, and multiple regression analysis, using SPSS 21.0 statistical program. Results - Among the organizational culture types, the clan and adhocracy cultures, which emphasize flexibility and autonomy, were relatively more important for the psychological empowerment of workers than the hierarchy and market cultures. Clan culture was the most important factor in terms of meaning and competence, and adhocracy culture was the most important factor in self-determination and impact. However, the hierarchy and market cultures that pursue control and stability were also cultural types that positively affected psychological empowerment of the workers. Hierarchy culture showed positive effects on meaning, competence, and impact except self-determination, and market culture had positive effect only on competency. Conclusions - The study found that organizational culture is an important predictor of psychological empowerment of the employees in casino companies and that important organizational culture types may be different for each sub-factor of psychological empowerment. It suggests that casino companies have to try to recognize and secure diverse organizational culture in order to activate psychological empowerment of their employees because they can provide quality service for customers. Therefore, it is necessary to create a harmonious and balanced culture between promoting flexible and autonomous organizational atmosphere, and stably controlling and operating the organization.

The Effects of Traditional Market Support Projects and Competition Intensity of Stores on Store Sales and Number of Visitors (전통시장 지원사업과 경쟁 강도가 점포매출액과 방문고객 수에 미치는 영향)

  • Lee, Chul-Sung
    • Journal of Distribution Science
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    • v.17 no.3
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    • pp.97-105
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    • 2019
  • Purpose - The purpose of this study is to investigate the effect of the government support project on traditional market and the interaction effect between the government support project and the competition intensity. Therefore, this study focuses on the competition intensity of individual stores in traditional markets, unlike the traditional research flow, which is beyond the competitive structure of traditional markets and large retailers. Research design, data, and methodology - This study is based on the data of 'Statistics of Traditional Market in 2017'. In this study, a multiple regression equation was constructed using the number of government support projects as an independent variable, competition intensity as an interaction, and sales per store, number of customers per store as a dependent variable for analysis. A multiple regression equation was constructed for the main effect analysis. To investigate the effect of the interaction, cohen(1980)'s regression equation and two-way ANOVA were used. Results - First, according to this study, the traditional market participated in the government support project showed that the sales and the number of visitors per store in the traditional market were higher than those in the non-participation market. Second, the impact of government support projects on sales per store(also number of visiting customers per store) can be different depending on the competition intensity. More specifically, if the market is politically supported by a market with a high level of competition, it may be more effective than the market with no support. Conclusions - Based on the results of the study, we suggested academic and practical implications and suggested that competition intensity of stores in the traditional market should be considered in the future. The implications of this study are as follows. First, the effects of the government's traditional market support project were analyzed empirically. Second, this study is different from the previous studies in that it examined the competitive strengths and the effects of individual stores in traditional markets, away from competition between traditional market and large retailers. Third, it provided practical implications for the operation of government support projects.

Two-Dimensional Hydrodynamic and Water Quality Simulations for a Coinjunctive System of Daecheong Reservoir and Its Downstream (대청호와 하류하천 연속시스템의 2차원 수리·모의)

  • Jung, Yong Rak;Chung, Se Woong;Ryu, In Gu;Choi, Jung Kyu
    • Journal of Korean Society on Water Environment
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    • v.24 no.5
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    • pp.581-591
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    • 2008
  • Most of our rivers are fragmented by the presence of at least one large dam. Dams are often the most substantial controller of the flow regimes and aquatic environments of natural river system. The quality of downstream water released from a stratified reservoir is highly dependent on upstream reservoir water quality. Thus, an integrated modeling approach is more efficient, compared to fragmented modeling approach, and necessary to better interpret the impact of dam operation on the down stream water quality. The objectives of this study were to develop an integrated reservoir-river modeling system for Daecheong Reservoir and its downstream using a two-dimensional laterally averaged hydrodynamic and water quality model, and evaluate the model's performance against field measurement data. The integrated model was calibrated and verified using filed data obtained in 2004 and 2006. The model showed satisfactory performance in predicting temporal variations of water stage, temperature, and suspended solid concentration. In addition, the reservoir-river model showed efficient computation time as it took only 3 hours for one year simulation using personal computer (1.88 Ghz, 1.00 GB RAM). The suggested modeling system can be effectively used for assisting integrated management of reservoir and river water quality.

Big Data Analytics for Countermeasure System Against GPS Jamming (빅데이터 분석을 활용한 GPS 전파교란 대응방안)

  • Choi, Young-Dong;Han, Kyeong-Seok
    • Journal of Advanced Navigation Technology
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    • v.23 no.4
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    • pp.296-301
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    • 2019
  • Artificial intelligence is closely linked to our real lives, leading innovation in various fields. Especially, as a means of transportation possessing artificial intelligence, autonomous unmanned vehicles are actively researched and are expected to be put into practical use soon. Autonomous cars and autonomous unmanned aerial vehicles are required to equip accurate navigation system so that they can find out their present position and move to their destination. At present, the navigation of transportation that we operate is mostly dependent on GPS. However, GPS is vulnerable to external intereference. In fact, since 2010, North Korea has jammed GPS several times, causing serious disruptions to mobile communications and aircraft operations. Therefore, in order to ensure safety in the operation of the autonomous unmanned vehicles and to prevent serious accidents caused by the intereference, rapid situation judgment and countermeasure are required. In this paper, based on big data and machine learning technology, we propose a countermeasure system for GPS interference that supports decision making by applying John Boyd's OODA loop cycle (detection - direction setting - determination - action).

Analysis of the Effect of Carbon Dioxide Reduction by Changing from Signalized Intersection to Roundabout using Tier 3 Method (Tier 3 방법을 이용한 회전교차로 도입에 따른 $CO_2$ 감축효과)

  • Lee, Jung-Beom;Lee, Seung-Hoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.10 no.5
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    • pp.105-112
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    • 2011
  • Delay reduction of vehicles at the intersection is highly dependent on the signal operation method. Improper traffic operation causes the violation of the traffic regulations and increasing traffic congestion. Delay because of congestion has contributed to the increase in carbon dioxide in the atmosphere. The focus of this paper is to measure the amount of carbon dioxide when the intersection is changed to roundabout. Even though, Intergovernmental Panel on Climate Change(IPCC) recommends Tier 1 method to measure the amount of greenhouse gas from vehicles, this paper used Tier 3 method because we could use the data of average running distance per each vehicle model. Two signalized intersections were selected as the study area and the delay reductions of roundabout operation were estimated by VISSIM microscopic simulation tool. The control delay for boksu intersection reduced from 28.6 seconds to 4.4 seconds and the KRIBB intersection sharply reduced from 156.4 seconds to 23.6 seconds. In addition, carbon dioxide for two intersections reduced to 646.5 ton/year if the intersection is changed to roundabout. Future research tasks include testing the experiment for networks, as well as for various intersection types.

Decision Making for Train Maintenance Facility using Simulation and Entropy measurement (시뮬레이션과 엔트로피 척도를 이용한 철도 차량기지 대안 선정)

  • Kim, Kyung-Rok;Chun, Hyun-Jae;Lee, Hong-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.8
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    • pp.2809-2817
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    • 2010
  • The scholarly concern of train industry has been improved, since country focuses on this field. Especially, train maintenance facility has been studied for construction, because the facility is important to inspect the train that transports passenger and cargo. Various operation plans and criteria are considered to build train maintenance facility. In this paper, the decision making of train maintenance facility for construction is studied and analyzed with simulation, because mathematical theory is restricted to consider various operation plans and criteria. Through simulation, we analyze warm-up after selecting dependent factors, and extract data. The data is used to select a alternative in this problem, Multiple Attribute Decision Making(MADM). Previous study is difficult, complex and subjective for decision making. However, entropy measurement we used help decision maker for decision making, easily, simply, and objectively. This method can have decision maker choose the best alternative in case the train maintenance facility construction is fast revitalized.

A Study on the cost allocation method of the operating room in the hospital (수술실의 원가배부기준 설정연구)

  • Kim, Hwi-Jung;Jung, Key-Sun;Choi, Sung-Woo
    • Korea Journal of Hospital Management
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    • v.8 no.1
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    • pp.135-164
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    • 2003
  • The operating room is the major facility that costs the highest investment per unit area in a hospital. It requires commitment of hospital resources such as manpower, equipments and material. The quantity of these resources committed actually differs from one type of operation to another. Because of this, it is not an easy task to allocate the operating cost to individual clinical departments that share the operating room. A practical way to do so may be to collect and add the operating costs incurred by each clinical department and charge the net cost to the account of the corresponding clinical department. It has been customary to allocate the cost of the operating room to the account of each individual department on the basis of the ratio of the number of operations of the department or the total revenue by each operating room. In an attempt to set up more rational cost allocation method than the customary method, this study proposes a new cost allocation method that calls for itemizing the operation cost into its constituent expenses in detail and adding them up for the operating cost incurred by each individual department. For comparison of the new method with the conventional method, the operating room in the main building of hospital A near Seoul is chosen as a study object. It is selected because it is the biggest operating room in hospital A and most of operations in this hospital are conducted in this room. For this study the one-month operation record performed in January 2001 in this operating room is analyzed to allocate the per-month operation cost to six clinical departments that used this operating room; the departments of general surgery, orthopedic surgery, neuro-surgery, dental surgery, urology, and obstetrics & gynecology. In the new method(or method 1), each operation cost is categorized into three major expenses; personnel expense, material expense, and overhead expense and is allocated into the account of the clinical department that used the operating room. The method 1 shows that, among the total one-month operating cost of 814,054 thousand wons in this hospital, 163,714 thousand won is allocated to GS, 335,084 thousand won to as, 202,772 thousand won to NS, 42,265 thousand won to uno, 33,423 thousand won to OB/GY, and 36.796 thousand won to DS. The allocation of the operating cost to six departments by the new method is quite different from that by the conventional method. According to one conventional allocation method based on the ratio of the number of operations of a department to the total number of operations in the operating room(method 2 hereafter), 329,692 thousand won are allocated to GS, 262,125 thousand won to as, 87,104 thousand won to NS, 59,426 thousand won to URO, 51.285 thousand won to OB/GY, and 24,422 thousand won to DS. According to the other conventional allocation method based on the ratio of the revenue of a department(method 3 hereafter), 148,158 thousand won are allocated to GS, 272,708 thousand won to as, 268.638 thousand won to NS, 45,587 thousand won to uno, 51.285 thousand won to OB/GY, and 27.678 thousand won to DS. As can be noted from these results, the cost allocation to six departments by method 1 is strikingly different from those by method 2 and method 3. The operating cost allocated to GS by method 2 is about twice by method 1. Method 3 makes allocations of the operating cost to individual departments very similarly as method 1. However, there are still discrepancies between the two methods. In particular the cost allocations to OB/GY by the two methods have roughly 53.4% discrepancy. The conventional methods 2 and 3 fail to take into account properly the fact that the average time spent for the operation is different and dependent on the clinical department, whether or not to use expensive clinical material dictate the operating cost, and there is difference between the official operating cost and the actual operating cost. This is why the conventional methods turn out to be inappropriate as the operating cost allocation methods. In conclusion, the new method here may be laborious and cause a complexity in bookkeeping because it requires detailed bookkeeping of the operation cost by its constituent expenses and also by individual clinical department, treating each department as an independent accounting unit. But the method is worth adopting because it will allow the concerned hospital to estimate the operating cost as accurately as practicable. The cost data used in this study such as personnel expense, material cost, overhead cost may not be correct ones. Therefore, the operating cost estimated in the main text may not be the same as the actual cost. Also, the study is focused on the case of only hospital A, which is hardly claimed to represent the hospitals across the nation. In spite of these deficiencies, this study is noteworthy from the standpoint that it proposes a practical allocation method of the operating cost to each individual clinical department.

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The Factor Analysis of Land Surface Temperature(LST) Change using MODIS Imagery and Panel Data (MODIS 영상 자료와 패널 자료를 이용한 지표면온도변화 요인분석)

  • BAE, Da-Hye;KIM, Hong-Myung;HA, Sung-Ryong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.1
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    • pp.46-56
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    • 2018
  • This paper aimed to identify main factors of community characters, which have an effect on the land surface temperature(LST) change and estimate the impacting coefficient(ratio) of factors in a significant level of statistics. Chungcheongbuk-do province was selected and then partitioned into city and county areas for the sake of convenience of modeling. LST time series data and the community character data were developed based on Terra Satellite MODIS data and collected from the National Statistical Office, respectively. By the cause and effect relationship between community characters and LST, regression coefficients were estimated using a penal model. In a panel modeling, LST and community characters were used as a dependent variable and explanatory variables, respectively. Panel modeling analysis was carried out using statistical package STATA14 and one-way fixed effect model was selected as the most suitable model to evaluate the regression coefficients in the study area. The impacting ratio of LST change by any explanatory variable derived from the regression coefficients of the panel model fixed. Impacting ratios for industrial areas, elevation ${\times}$ building, energy usage, average window speed, non-urban management area, agricultural, nature and environmental conservation, average precipitation were 3.746, 2.856, 2.742, 0.553, 0.102, 0.071 and 0.003, respectively.