The purpose of this paper is to analyze the problems and the sources of defective products and draw improvement plans in a small plastic boat manufacturing process using TOC (Theory Of Constraints) and statistical analysis. TOC is a methodology to present a scheme for optimization of production process by finding the CCR (Capacity Constraints Resource) in the organization or the all production process through the concentration improvement activity. In this paper, we found and reformed constraints and bottlenecks in plastic boat manufacturing process in the target company for less defect ratio and production cost by applying DBR (Drum, Buffer, Rope) scheduling. And we set the threshold values for the critical process variables using statistical analysis. The result can be summarized as follows. First, CCRs in inventory control, material mix, and oven setting were found and solutions were suggested by applying DBR method. Second, the logical thinking process was utilized to find core conflict factors and draw solutions. Third, to specify the solution plan, experiment data were statistically analyzed. Data were collected from the daily journal addressing the details of 96 products such as temperature, humidity, duration and temperature of heating process, rotation speed, duration time of cooling, and the temperature of removal process. Basic statistics and logistic regression analysis were conducted with the defection as the dependent variable. Finally, critical values for major processes were proposed based on the analysis. This paper has a practical importance in contribution to the quality level of the target company through theoretical approach, TOC, and statistical analysis. However, limited number of data might depreciate the significance of the analysis and therefore it will be interesting further research direction to specify the significant manufacturing conditions across different products and processes.

절화용으로 재배중인 스프레이 국화의 탄수화물 함량 과 각 품종 별 함량에 대한 변이계수, 유전력 및 유전 자 전이율 등의 통계학적 분석을 실시하였던 바 그 결 과를 요약하면 다음과 같다. 화서 조직, 줄기조직, 화서 에 부착된 엽조직, 줄기에 부착된 엽조직의 당 함량을 분 석한 결과, 줄기조직 및 화서 부분의 줄기는 sucrose, fructose 및 glucose 등 3종류의 당이 모두 검출되었으며 대부분의 품종에서 fructose 함량이 가장 높았다. 반면 줄 기와 화서에 부착된 잎 조직에서는 sucrose는 전혀 검출 할 수 없었으며, fructose 및 glucose 등 2종류의 당만이 검출되었고 대부분의 품종에서 fructose 함량이 높았다. 아 울러 이들 조직 내의 유리당의 함량은 품종 간 상당한 차이를 나타내고 있어 통계학적 유의차가 인정되었다. 변 이계수, 표현형 변이계수, 유전 변이계수, 유전력 및 유 전자 전이율은 유리당의 종류에 관계없이 매우 높은 경 향을 나타내었으며 오차 또는 환경 변이계수와 유전자 전 이는 대단히 낮은 편이었다. 화서와 줄기 조직 내 전분 함량은 품종 간 통계학적 유의차는 인정되었으며 표현형 변이계수, 유전 변이계수, 오차 또는 환경 변이계수를 포 함한 변이계수는 중정도 수준의 변이율을 나타내었으나, 화서를 포함한 줄기 조직은 변이율이 낮고 화서 내 엽 조직은 높은 편이었다. 유전력은 중정도에서 다소 높은 수준까지 차이를 나타내었는데 화서 내 엽 조직이 낮은 편이었고 화서와 줄기 내 잎의 조직이 높은 편이었다. 유 전자 전이는 대단히 낮았고 유전자 전이율 또한 전반적 으로 낮은 편이었다.

본 연구에서는 FT-IR 스펙트럼데이터의 다변량 통계분석 기법을 활용하여 인도수집 옥수수 계통 및 품종으로부터 단백질 함량이 높은 옥수수를 신속하게 선발할 수 있는 선발체계를 확립함과 동시에 lysine과 tryptophan의 함량분석을 목적으로 연구를 수행하였다. 총 48시료의 인도수집 옥수수 계통 및 품종과 국내산 품종을 이용하여 종자로부터 FT-IR 스펙트럼을 조사하였으며, 무작위로 선발된 24시 료를 대상으로 총 단백질 함량을 조사하였다. 대조구로 사용한 광평옥 모계(GPO1)의 경우 단백질 함량 이 9.34 ± 0.3mg/g dw인데 비하여 H4 계통의 경우 단백질 함량이 10.26 ± 0.5mg/g dw로 48개 옥 수수 시료 중에서 가장 높게 나타났다. 특히 옥수수 H4, H6, H11, 그리고 H12 계통의 경우 총 단백질 함량이 각각 10mg/g dw 이상으로 측정되어 광평옥 모계(9.34mg/g dw)와 부계(9.36mg/g dw) 및 이 들의 F1(9.14mg/g dw)보다 총 단백질 함량이 높은 계통으로 판명되었다. Cross-validation test에서 옥수수 종자 내 총 단백질 함량예측 PLS regression model의 regression coefficient(R2) 는 0.77로 비교적 정확하게 총 단백질 함량예측이 가능한 것으로 나타났다. 따라서 본 PLS regression model을 이용하여 단백질 함량이 높은 사일리지 옥수수 계통의 선발이 가능할 것으로 기대되며, 더 나아가 다양 한 옥수수 계통의 신속한 대사체 수준 평가가 가능할 것으로 예상된다.

PURPOSES : This study estimated the load effect of a single heavy truck to develop a live load model for the design and assessment of bridges located on an expressway with a limited truck entry weight. METHODS: The statistical estimation methods for the live load effect acting on a bridge by a heavy vehicle are reviewed, and applications using the actual measurement data for trucks traveling on an expressway are presented. The weight estimation of a single vehicle and its effect on a bridge are fundamental elements in the construction of a live load model. Two statistical estimation methods for the application of extrapolation in a probabilistic study and an additional estimation method that adopts the extreme value theory are reviewed. RESULTS : The proposed methods are applied to the traffic data measured on an expressway. All of the estimation methods yield similar results using the data measured when the weight limit has been relatively well observed because of the rigid enforcement of the weight regulation. On the other hand, when the estimations are made using overweight traffic data, the resulting values differ with the estimation method. CONCLUSIONS: The estimation methods based on the extreme distribution theory and the modified procedure presented in this paper can yield reasonable values for the maximum weight of a single truck, which can be applied in both the design and evaluation of a bridge on an expressway.

This study suggests a prediction model of ground motion spectral shape considering characteristics of earthquake records in Korea. Based on the Graizer and Kalkan’s prediction procedure, a spectral shape model is defined as a continuous function of period in order to improve the complex problems of the conventional models. The approximate spectral shape function is then developed with parameters such as moment magnitude, fault distance, and average shear velocity of independent variables. This paper finally determines estimator coefficients of subfunctions which explain the corelation among the independent variables using the nonlinear optimization. As a result of generating the prediction model of ground motion spectral shape, the ground motion spectral shape well estimates the response spectrum of earthquake recordings in Korea.

The study of water environment system using a multivariate analysis in Changnyeong-Haman weir section has been conducted. The purpose of this study is to establish better understanding related water qualities in the Changnyeong-Haman weir section which can provide useful information. The data were consisted of water quality data and algae data including WT(water temperature), pH, DO, EC, COD, SS, T-N, NH3-N, T-P, PO4-P, Chl-a, TOC, d-silica, t-silica, Cyanobacteria, Diatoms, and Green algae. Statistical analyses used in this study were correlation analysis, principal components, and factor analysis. According to correlation analysis on COD and TOC, it revealed that the each value of correlation coefficient was 0.843. On the other result, a negative correlation was observed between diatoms and d-silica. Furthermore, the results of principal component analysis to the overall water quality were classified into four main factors with contribution rate 81.071%.

이 논문에서는 고속철도교량 설계를 위한 활하중 모델을 통계 및 확률적 방법으로 검토하고, 하중조합의 하중계수가 주는 안전율을 분석하였다. 이 연구는 철도교량 설계기준에 대한 한계상태설계법 개발의 일환이며, 이를 위하여 경부고속철도를 운행하는 열차를 대상으로 약 한달 동안 실측하여 데이터를 수집하고 분석하였다. 이 데이터를 대상으로 교량의 설계수명에 맞도록 4가지 통계 방법들을 적용하여 설계하중을 추정하여 비교․검토하였다. 또한, 철도교량의 설계하중조합이 주는 안전율을 검토하기 위하여 신뢰도지수를 구하고 이를 분석하였다. 실측 데이터로부터 추정한 활하중효과에 대하여, 현행 고속철도 설계활하중인 표준열차하중의 0.75배를 적용한 설계활하중 효과의 크기가 최소 30～22% 더 크게 나왔다. 신뢰도분석을 통하여, 극한한계상태만을 기준으로 본다면, 추가적인 하중계수 감소의 가능성이 있음을 알 수 있다.

As the industrial scale is getting enlarged and the people’s quality of life is growing, the electric energy consumption has been rapidly increasing every year and the frequency of electrical accidents such as electrical shock This paper gives statistical analysis of the number of casualties caused by the electrical shock, five hundred people every year, but it still exceeded the shaping risk of electrical accidents to anyone in KOREA. In this paper, for the electrical shock of the in 2014 act by occupation, voltage electrical equipment, location, accident type and months. In order to acquire electrical shock in 2014, we visited police stations and hospitals and analyzed records of accidents. The result showed that the electrical shock alone caused 37 people deaths and 569 injuries.

본 연구는 2009 개정 수학 교과서가 이전의 2007 개정 수학 교과서와 비교하여 스토리텔링의 요소가 어떻게 얼마나 반영되었는지를 분석하는 것을 목표로, 2007 개정 교육과정에 따른 두 출판사의 교과서 와 익힘책을 동일한 출판사의 2009 개정 교육과정에 따른 교과서와의 문항을 비교 분석하였다. 구체적 으로 두 교과서는 전체적인 교과서 구조 측면에서, 그리고 실생활연계, 수학적 흥미, 창의성과 의사소통 이라는 세가지 스토리텔링형 유형 측면에서 분석되었다. 연구 분석 결과, 새로 개정된 2009 A와 2009 B에서 다음과 같은 공통적인 특징을 발견할 수 있다. 첫 째, 스토리텔링을 반영한 전체적인 문제의 수나 스토리텔링적 요소에서는 2009 개정 교과서와 이전 교 과서간에 큰 차이가 발견되지 않았다. 둘째, 2009 개정 교과서는 학생들의 참여를 유도하는 활동이 증 가하였다. 셋째, 2009 개정 교과서는 자기주도적 학습의 요소가 증가하였다. 이상에서 분석한 결과를 토대로, 2009 개정 교육과정과 「수학 교육 선진화 방안」이 추구하는 스토리 텔링이 잘 구현된 수학 교과서 개발을 위해 첫째, 개정 교육과정에서 강조하는 스토리텔링이 무엇인지, 현재의 교과서가 어떤 점에서 변화되었는지를 명확히 한 후 이에 대한 연수가 필요하며 둘째, 수학 교 과 내용과 일상생활과의 연계를 위한 다양한 소재를 발굴할 필요가 있으며 셋째, 이야기적 요소를 보충 하고 넷째, 다양한 활동을 이끌고 다섯째, 공학적 도구를 다양하게 사용하는 기회가 주어져야 함을 제 안하였다.

Recently, management based on statistical data has become a big issue and the importance of the statistics has been emphasized for the management innovation in the defense area. However, the Military Management based on the statistics is hard to expect because of the shortage of the statistics in the military. There are many military information systems having great many data created in real time. Since the infrastructure for gathering data form the many systems and making statistics by using gathered data is not equipped, the usage of the statistics is poor in the military. The Analytical Defense Statistics System is designed to improve effectively the defense management in this study. The new system having the sub-systems of Data Management, Analysis and Service can gather the operational data from interlocked other Defense Operational Systems and produce Defense Statistics by using the gathered data beside providing statistics services. Additionally, the special function for the user oriented statistics production is added to make new statistics by handling many statistics and data. The Data Warehouse is considered to manage the data and Online Analytical Processing tool is used to enhance the efficiency of the data handling. The main functions of the R, which is a well-known analysis program, are considered for the statistical analysis. The Quality Management Technique is applied to find the fault from the data of the regular and irregular type. The new Statistics System will be the essence of the new technology like as Data Warehouse, Business Intelligence, Data Standardization and Statistics Analysis and will be helpful to improve the efficiency of the Military Management.

It has been widely accepted that the pressure management of water distribution systems using pressure reducing valves(PRVs) would be an effective method for controlling leakages. A pressure reducing valve (PRV) regulates outlet pressure regardless of fluctuating flow and varying inlet pressure, thereby reducing leakage and mitigating the stress on the water distribution system. However, the operation of a PRV is vulnerable to its mechanical condition and hydraulic operability. In this research, the effect of PRVs installed in water distribution system are evaluated in terms of hydraulic pressure reduction and mechanical performance by analyzing measured pressure data with statistical approach. A statistical approach using the moving average filter and frequency analysis based on fourier transform is presented to detect abnormally operated PRVs that have been densely installed in water distribution system. The result shows that the proposed approach can be a good performance evaluation method by simply measuring pressures for the PRVs.

This study have been conducted to analyze the feasibility of establishing Contamination Warning System(CWS) that is capable of monitoring early natural or intentional water quality accidents, and providing active and quick responses for domestic C_water supply system. In order to evaluate the water quality data set, pH, turbidity and free residual chlorine concentration data were collected and each statistical value(mean, variation, range) was calculated, then the seasonal variability of those were analyzed using the independent t-test. From the results of analyzing the distribution of outliers in the measurement data using a high-pass filter, it could be confirmed that a lot of lower outliers appeared due to data missing. In addition, linear filter model based on autoregressive model(AR(1) and AR(2)) was applied for the state estimation of each water quality data set. From the results of analyzing the variability of the autocorrelation coefficient structure according to the change of window size(6hours~48hours), at least the window size longer than 12hours should be necessary for estimating the state of water quality data satisfactorily.

This study considered network quotient (NQ) of deluxe hotel employees and schematized characteristic attributes of being selected by employees with image through correspondence analysis in terms of cognition degree. Self-administrated questionnaires were completed by employees (292 samples) and data were analysed by frequency, t-test, one-way ANOVA, reliability and correspondence analysis. First, the hotel employees indicated the high average value in “participating in special education or seminar for improving ability (3.85±0.76). Second, as a result of analyzing difference according to gender, the average value in men was higher than in women. It was indicated that the higher age and career lead to a rise even in the average value of relationship index. Third, in consequence of carrying out correspondence analysis in order to prepare image map according to cognition level on relationship index in hotel employees, the measurement item that is placed in the closest distance to the response as saying of not so very was the response as saying of “having a lunch (dinner) engagement twice or three times a week.” On the other hand, the response as saying of “tending to have many acquaintances compared to coworkers” was schematized in the close distance to the response as saying of very so.

막대나 히스토그램과 같은 그래픽 요소는 통계자료의 탐색적 분석을 위한 정보 시각화 도구로 자주 활용되어왔다. 이에 비해단계구분도나 유선도와 같은 전통적 주제도는 지리참조된 통계자료의 공간 분포 및 패턴 분석을 위한 유용한 시각화 기법으로 인식되었다. 그러나 통계학 분야에서 최근 제안된 연결형 마이크로맵은 공간통계자료의 탐색적 분석을 위한 효과적인 시각화 도구로서 많은 관심을 받고 있다. 이에 본 연구는 서울특별시 자치구를 대상으로 생산된 공간통계자료를 시각화할 수 있는 연결형 마이크로맵을 R 프로그래밍 언어를 이용하여 구현하여 제시하였다. 그리고 본 연구는 기존 주제도와 차별적인 연결형 마이크로맵의 특징을 고찰하였다. 연결형 마이크로맵은 전통적 주제도의 한계를 해결하고 정보 손실을 최소화할 수 있는 효과적인 시각화 기법으로서 그 활용도가 높아질 것으로 기대된다.

PURPOSES: This study has been conducted to determine a homogeneous segment and integration to improve the efficiency of short-term traffic count. We have also attempted to reduce the traffic monitoring budget. METHODS: Based on the statistical approach, a homogeneous segment in the same road section is determined. Statistical analysis using t-test, mean difference, and correlation coefficient are carried out for 10-year-long (2004-2013) short-term count traffic data and the MAPE of fresh data (2014) are evaluated. The correlation coefficient represents a trend in traffic count, while the mean difference and t-score represent an average traffic count. RESULTS : The statistical analysis suggests that the number of target segments varies with the criteria. The correlation coefficient of more than 30% of the adjacent segment is higher than 0.8. A mean difference of 36.2% and t-score of 19.5% for adjacent segments are below 20% and 2.8, respectively. According to the effectiveness analysis, the integration criteria of the mean difference have a higher effect as compared to the t-score criteria. Thus, the mean difference represents a traffic volume similarity. CONCLUSIONS : The integration of 47 road segments from 882 adjacent road segments indicate 8.87% of MAPE, which is within an acceptable range. It can reduce the traffic monitoring budget and increase the count to improve an accuracy of traffic volume estimation.

This study understood what effect was produced on the purchasing decision making of outdoor wear by a shopping orientation, fashion involvement and demographic characteristics offered practical suggestions as to what effect was produced on the store selection criteria, product selection criteria for purchasing decision making in purchasing outdoor wear. This research was conducted through a questionnaire survey, and 397 males in were collected for analysis. The results were as follows. First, shopping orientation group was classified into hedonic shopping orientation group and utilitarian shopping orientation group. And it was classified into high fashion involvement group and low fashion involvement group according to fashion involvement. Product selection criteria were classified into 2 factors such as intrinsic attributes and extrinsic attributes. And store selection criteria were classified into 4 factors such as store atmosphere, store environment, promotion and salesmen. Second, there was partly significant difference in product selection criteria, and store selection criteria between utilitarian shopping group and hedonic shopping group. Third, there was significant difference in product selection criteria and store selection criteria between high fashion involvement group and low fashion involvement group. Finally, there was significant difference in the and according to age, job, and income among demographic characteristics.

In order to research the wave characteristics in Suyeong bay on typhoon in 2011, this study was carried out observation of wave on typhoon "Ma-on",calculation of wave characteristics using STWAVE and comparison with significant wave heights between observ

The efficient safety estimation for a business should analyze an accident data by considering every possible and potential factor. Thus, we consider several factors to build the safety estimation model to meet fairness and rationality. This paper present the yearly statistic data of accident from KOSHA analyze the data by industry, scale, year of service of a employee, age and other factors; build the safety estimation model for the business based on the accident report derived the analysis. The estimation model is established by the weights for accident type, degree, scale, industry, year of service, and age of the employee derived from ANP(Analytic Network Process).

This paper is to survey the research process and the problems in statistics of The Chronicle of Korea Fishery. The contents of The Chronicle were researched by two groups. One group is the managers of every province, the other group is the officers of every county. The managers performed the literature investigation research and field study and also arranged the reports from the county officers. But the managers seemed not to pay the full attention about the consistency of contents. The main contents about fishery are the number of coastal households and population, the number of fishery households and population, the number of fishing boats and fishing net. The body of The Choronicle and the table of fishing affairs in the appendages must be carefully compared to use the statistics. Though these statistics lack the consistency, the number of fishery households and boats deserves the attention. The fishing households account for less than 3% of all households, and about one third of fishing households has fishing boat.

The objective of this study is to investigate consumer preferences, perception and consumption patterns for fish products. To investigate the difference in consumer responses according to the characteristics of the population parameters, data were collected from the survey of 404 Koreans and analyzed. The results are as follows: First, the differences of age; for the question of the reason why do you eat fish products, the younger generation (20〜30s)’s most answer was‘The Taste’while the older age groups(40〜50s and over 60s)’most respond was‘For Health’. Second, the differences of sex; women relatively considered‘The Quality’of fish products more important than men when selecting the products. Whereas, men thought‘The Taste’of fish products more important than women when they choose fish products. In addition, when the bad news or hygiene accidents about fish products are reported on media, women reacted more negatively for fish products purchase than men. Third, the differences of family members; the respondents who lived with 3 or more family members showed higher preference rates about purchasing trimmed fresh fish at the store than respondents who lived with 2 or less family members. On the other hand, single households relatively bought processed fish products and RTE(Ready To Eat) fish products more than other family member groups. In addition, single households preference rates about eating fish products as a main dish were very high compared to other groups.