도시저소득층의 사회관계망에 관한 연구 : 영구임대주택 주민을 중심으로

김영일 성심여자대학교 1995 국내석사

서울地下鐵 工事現場 覆工板 腐蝕速度 側定 및 安定性 評價

김영일 서울시립대학교 2011 국내석사

한 글 요 약 복공판은 지하철 및 지하차도 공사시 차량통행을 위해서 상부에 설치되는 임시 가설구조물로서, 형식에 따라 차이가 있으나 강재 SS400을 공히 용접을 이용한 접합으로 제작되고 있으며, 통과하는 차륜을 직접 지지하는 구조로서 매우 중요한 역할을 하고 있다. 이러한 중요한 역할을 하는 복공판이 설치되는 지하철 공사장의 현장 환경여건은 상대습도가 높고 분진이 많으며 특히 겨울철 염화칼슘 포설 등으로 부식이 빠르게 진행될 수밖에 없는 매우 열악한 상태이나 이러한 공사현장 환경에서의 부식속도 및 단면감소량 예측에 관한 연구가 미비하여 가시설 복공판 설계시 부식손상을 고려한 내하력 저감이 고려되지 못하고 있는 실정이다. 또한 서울지하철 설계기준에서는 공사착공시 신강재 복공판을 설치하도록 규정하고 있으나, 복공판은 부위별로 강재를 용접하여 제작하는 관계로 선정시험 및 관리시험 기준이 기준이 미흡하고, 필요시마다 피로시험을 할수없는 것이 공사장의 현실이며, 또한 복공판 선정시험시 도로교설계기준을 적용 휨재하시험을 통하여 처짐을 확인하는것이 일반적 관리방식이나, 설치후 관리시험은 전혀 이루어지지 않고 있어 구조적 안정성을 장담할수 없는 실정이다. 특히 본인이 지하철공사장에서 약16여년간 근무경험을 통해 볼때 복공판은 용접부 탈락에 의한 손상보다는 처짐에 의한 복공판 손상이 대부분 이루어진다는 것이 개인적 소견이며, 따라서 본 연구에서는 지하철공사장 환경에서의 복공판 부식속도와 단면감소량을 측정하고 휨재하 실험을 실시하였으며, 구조해석을 수행하여 그결과를 실험결과와 비교분석 하였다. 그래서 그결과를 가지고 현장 관리자들이 향후 복공판 장기사용 계획수립과 공용기간중 구조적 안정성을 확보할수 있도록 제시하였다. Deckplate subway and underground roadways for vehicular traffic during construction is installed on the upper structure as a temporary hypothesis, depending on the type of SS400 steel, but both are made by welding, bonding, and direct support to pass a structure with wheels so has an important role. This plays an important role Deckplate installation site environmental conditions of the subway construction and high relative humidity, dust and many, especially in winter due to chloride corrosion laid no choice but to proceed quickly and very poor environmental conditions or the construction site and cross-section reduction in the corrosion rate Study on Prediction of the lack of design and corrosion damage gasiseol Deckplate considering carrying capacity is reduced have not been considered. The Seoul Metropolitan Subway Corporation Started in design standards shall be installed at Deckplate New but Deckplate welded steel parts produced by each selection test and manage the relationship, the lack of testing standards, and requires that every construction site of blood tests that can not be reality, and also during the selection test Deckplate hwimjaehasiheomeul bridge design standards applied by checking on deflections and general management, post-installation management have not made any tests to assure structural stability, there is little data. I work under, especially the subway about 20 years, judging by the experience of working in the damage eliminated Deckplate Weld Deckplate damage by deflection rather than the most personally made that finding, and underground construction environment in this study, the corrosion rate and the cross section Deckplate hwimjaeha reduction experiments were carried out to measure, perform structural analysis and the result was compared with the experimental results. As a result, field managers have so Deckplate long-term use in the future planning and ensured the structural integrity to the public during the period presented.

韓國敎會의 歷史的 罪 告白의 必然性

김영일 관동대학교 2001 국내석사

法華經의 譬喩와 그 思想 硏究

김영일 東國大學校 大學院 1998 국내석사

The purpose of this thesis is to study the thoughts and figurative usages such as similes, metaphors and parables in the Lotus Su￣tra. This thesis consists of 3 chapters. In chapter Ⅰ, I examined the concepts and characteristics of figurative usages through the Sanskrit etymology. So we can say that upama￣ style is similar to metaphor, while aupamya is close to parable. Chapter Ⅱ, contains figurative usages in the stories found in the Lotus Su￣tra. There are such stories as 'Lotus', 'The burning House', 'The Poor Son' and so on. Styles can be divided into two parts, one is upama￣ and the other is Aupamya. The former's main feature is that it is a short metaphor, and the latter is a parable. 'The Lotus' follows the style of upama￣ and 'The seven parables of the Lotus Su￣tra' follows Aupamya. The figurative usages can be classified into General Metaphor(總喩) and Partial Metaphor(別喩) in terms of content. In chapter Ⅲ, I looked into the thoughts that appear in those metaphors and parables of the Lotus Su￣tra through Sechin's(世親) and Chuntae's(天台) commentaries on it. In terms of 'The Lotus' Sechin(世親) explains it from two points of view, that is 'Out of Dirty Water' and 'Lotus Blossoms', and Chuntae(天台) explains it with 'Six metaphors on the Lotus Su￣tra'. Both of them view that metaphor as the concept, 'The Vehicle of Oneness'(一乘). But in terms of the 'Seven parables of the Lotus Su￣tra', it is interpreted by Sechin(世親) as the parables to enlighten seven kinds of people, who represent all people, into the doctrine of 'The Vehicle of Oneness'. As for Chuntae(天台) he divides that into Choˇk Mun(迹門) and Pon Mun(本文). He is saying that the first 6 parables are things that are designed to explain 'The Truth of the one method of salvation of the Three Vehicles.'(開三顯一) and the last is to explain the Buddha's earthly life and the final revelation of the Buddha'(開近顯遠). The other figurative usages are rarely seen in the commentary of Sechin(世親), I chose Chuntae's commentary as main reference, and it contained The Vehicle of Oneness, the doctrine of spreading Su￣tras for the people and one simple rhetoric expression. Unlike Sechin, Chuntae's commentary is characterized by his emphasis on the figurative usages since he believed that 'Dharma is metaphor'(法譬一如). At the same time, he applied those figurative usages to his 'Five periods and Eight kinds of Doctrine'(五時八敎) and systemized them into one theory. In Conclusion, the meaning of the figurative usages in the Lotus Su￣tra is that those different and beautiful metaphors can express the thoughts of the Lotus Su￣tra more effectively and be easy ways to understand Buddhism for the laypeople. Finally, it is meaningful that the Buddha used parables or metaphors rather than abstract theories to teach people since we can better relate these parables or metaphors to our everyday lives.

Hesperetin의 혈소판응집 및 동맥혈관평활근 세포증식 억제효과

김영일 충북대학교 대학원 2006 국내박사

오차 저감을 위한 가상 부하패턴 군집화 및 분류 방법

김영일 忠南大學校 大學院 2012 국내박사

본 논문에서는 배전선로의 효율적인 운영을 위해 필요한 부하분석 및 의사결정 정보를 제공하는데 있어서 기반이 되는 가상 부하패턴의 생성방법을 제안하였다. 기존의 가상 부하패턴 생성방법은 산업분류 코드 만을 이용하여 대표 부하패턴을 생성하는 방법과 fuzzy C-means와 PNN을 이용한 방법, K-means와 C5.0을 이용한 방법 등이 있었다. 이러한 방법들은 고객 분류를 위해 대부분 산업분류 코드만을 사용하거나, 미AMR 고객이 갖고 있지 않은 속성정보인 부하형태 인덱스를 사용하고 있다. 산업분류 코드만을 사용할 경우에는 동일 산업분류 내에 부하패턴이 상이한 고객이 다수 존재하면 오차가 커지는 단점이 있고, 부하형태 인덱스를 사용할 경우에는 미AMR 고객의 부하형태 인덱스 값을 전력사에서 미리 알고 있어야 하는 단점이 있다. 본 논문에서는 이러한 단점들을 극복하고 국내 전력사에 적합한 군집화 및 분류 방법을 제안하기 위해, 기존의 군집화 방법 3종과 분류 방법 2종을 교차 실험하여 최적의 성능을 갖는 군집화 방법과 분류 방법을 선정하였다. 최종적으로 선정된 모델은 K-means 군집화 방법을 통해 AMR 고객을 군집화하며, 이 때 군집의 수는 지역별로 군집화 평균오차 감소율이 1% 이상 감소하지 않는 최대 군집의 수를 선정하게 된다. 분류 방법은 신경망 모델을 기반으로 하는 PNN 분류 방법을 사용하며, 분류를 위한 고객 속성정보는 산업분류 코드와 월 전력사용량, 계약종별 코드를 사용하게 된다. Electric power utility companies install electric meters that automatically read the amount of power usage of customers every 15 minutes. The initial AMR (Automatic Meter Reading) data is used to measure peak load of each customers or apprehend power usage pattern. Recently, as IT technology has been developed, researches of the Smart Grid that integrates the information technology with power grids to provide the real-time and bi-directional information exchange between power utilities and customers are increased. Especially in smart distribution fields, researches for distribution load analysis, decision support, and life-time estimation of obsolete equipment using AMR data are proceeded to optimize the energy efficiency and build an intelligent power system. This paper proposed the VLP (Virtual Load Profile) modeling mechanism that is needed to process the load analysis and decision support of distribution line. Traditional approaches of VLP generation are TLP (Typical Load Profile) generation method using only industrial code, method using fuzzy C-means and PNN (Probabilistic Neural Network) algorithm, and method using K-means and C5.0 algorithm. These methods use only industrial code for customer classification input parameter or LSI (Load Shape Index) that non-AMR customers don't have. These methods have a disadvantage; If VLP is generated using only industrial code, an error of VLP is increased when some industrial code groups have many customers with different load patterns; If VLP is generated using LSI, utilities must have LSI values of non-AMR customers in database. To overcome the disadvantage, this paper proposed the clustering and classification method by analyzing the 6 kinds of experimental result combined 3 clustering methods and 2 classification methods and choosing the best performance pair. The proposed method is named as KCPC (K-means Clustering and PNN Classification) method. The KCPC method uses K-means clustering to cluster the AMR customer. The number of clusters of each region is decided by maximum number of clusters that don't decrease the average error decreasing rate under 1 per cent any more. The KCPC method uses PNN classification method. Industrial code, monthly power amount, and contract code are selected as classification input parameter among the customer attributes. The meaning of the KCPC method in this paper is that the VLP estimation error of non-AMR customers is reduced about 12 per cent than traditional industrial code only classification method. This error reduction amount would be a 370MW per quarter hour by assuming the entire power generation capability of Korea as 65GW. The KCPC method will be applied to DAS (Distribution Automation System) for effective distribution management and DRMS (Demand Response Management System) for power consumption control of customers. For the future works, the research for power consumption estimation will be proceeded by reflecting the correlation of power usage, weather, and temperature into an VLP estimation method based on neural network.

통계적 분석기법을 이용한 선박디젤기관의 고장진단 및 예측시스템에 관한 연구

김영일 韓國海洋大學校 2005 국내박사

Recently acceleration of ship automation makes ship's crew decreased and ship's schedule fast. That results in making harbour time short and lack of ship's maintenance time. Therefore prediction maintenance using fault diagnosis system is more important to prevent accidents by shortage of maintenance. While monitoring points for ship machineries were about 600 in 1980's ship, but now over 10,000 points. So almost all systems of ship can be monitored by central control and monitoring system. With this background and circumstance, various kinds of study for fault diagnosis of machineries are carried out. Almost ship monitoring systems are event driven alarm system which warn only when the signal is over or under set point. These kinds of system cannot warn while signal is growing to abnormal state until the signal is over or under the set point and cannot play a role for preventive maintenance system. And fault diagnosis is started by expert engineer after warning from the monitoring system. There is few study which automatically diagnose the fault from ship's monitored signal. The bigger control and monitoring system is, the more important fault diagnosis and predictive maintenance is to reduce damage brought forth by system fault. This paper proposes fault diagnosis and prediction system which is able to diagnose and forecast the fault from present operating condition by analyzing monitored signals with present ship monitoring system without additional sensors. For this all kinds of ship's engine room monitored data are classified with combustion subsystem, heat exchange subsystem and electric motor and pump subsystem by analyzing ship's operation data. To extract dynamic characteristics of these subsystems, log book data of container ship of H shipping company are used. Even though almost all machineries installed on the ship including main propulsion diesel engine and various auxiliary machineries have non linear characteristics and produce different output data dependent on the operating environment, if those machineries are operating under normal condition state, correlation coefficient(CC) between monitored data of related machine each other will be high. From analyzing this data having high CC, correlation level of interactive data can be understood. Knowledge base of abnormal detection can be built by referring level of CC(Fault Detection CC, FDCC) to detect abnormal data among monitored data from monitoring system and knowledge base of diagnosis built by referring CC among interactive data for related machine each other to diagnose fault part. Fault place can be ascertained by investigating specific data of fault part with decision making tree like answer tree. And fault prediction can be made by regression analysis of monitored data. To verifying capability of fault detection, diagnosis and prediction, Fault Management System(FMS) is developed by C++. Simulation experiment by FMS is carried out with population data set made by log book data of 2 months duration from a large full container ship of H shipping company. For fault detecting and diagnosing experiment from population data set, three kinds of random number are generated by computer. One is generated on the base of average and covariance of population data set, other on the base of parts of population data and the other on the base of fault detection range(FDR). In the simulation experiment FMS is ascertained to detect abnormal data from monitored data set including generated random number by abnormal detection module with abnormal detection knowledge base and diagnose the fault by abnormal diagnosis module with abnormal diagnosis knowledge base and also forecast predictive fault by fault prediction module. If the FMS is developed to include maintenance manual and ship's inventory database inside near future, the system will be able to recommend how to maintain the diagnosed fault and necessary spare parts.

고속도로에서의 여가성 도로구간 판별에 관한 연구

김영일 明知大學校 大學院 2003 국내석사

최근 주5일 근무제의 도입과 경제의 발전으로 인해 여가에 대한 관심이 증가되고 있다. 여가의 관심은 여가통행의 증가로 이어지고, 통행의 증가는 도로의 비효율적인 문제를 발생 시킬 수 있다. 도로는 그 지역의 특성에 따라 다른 통행특성을 지닌다. 가령 도심의 간선도로와 관광지의 관광도로는 그 기능과 특성이 다르게 나타나는데, 시간별·계절별 통행분포의 차이가 그 특성을 설명해준다. 이는 여가통행의 특성상 휴일과 어느 특정월에 집중되는 현상등을 수반하는데, 이러한 특성을 가지고 여가성 도로구간을 판별하는 연구를 수행하였다. 본 연구에서는 한국도로공사의 2002년 TCS자료를 가공하여 고속도로의 여가통행 특성을 나타내는 변수를 선정하였다. 선정된 변수는 SAS 8.01 통계 패키지를 이용하여 주성분분석 및 판별분석을 통해 여가성 도로구간을 판별하였다. 변수들의 분석을 통하여 여가성 통행과 양의 상관관계를 갖는 휴일계 수와 최대월계수, 음의 상관관계를 갖는 AADT, 화물차혼입율 등 높은 상관성을 보이는 4개의 변수로 분류하였다. 다변량분석 기법을 이용한 판별 결과 여가성 도로는 관광지나, 위락단지가 밀집되어있는 서해안선, 영동선, 중앙선 등이 분포하고 있으며, 비여가성 도로구간으로는 경부선, 신갈-안산선, 남해선 등이 분포되었다. 또한 판별된 자료를 근거로 변수들의 여가성 도로구간의 기준을 제시하였다. 판별된 여가성 통행이 높은 여가성 도로구간은 이에 대응하는 시설물 설치나 정보제공과 같은 고속도로 운영전략 및 관리와 도로 설계 시 필요할 것이다. The concern of the leisure is increased to introduction of the 5 work-days of week and the economy development. The concern of the leisure leads to the increase of the leisure passing and the increased of passing can order nonefficient problem of the road. The road has different passing characteristic according to the characteristic of the area. For example CBD street and resort road appears so that we are different characteristic and ability. The difference of a season passing distribution explains the characteristic. This accompanies the characteristic holiday of the leisure passing and any phenomenon which is concentrated on the month. We accomplished research to distinguish a leisure road interval with such characteristic. This stydy processed 2002 year the TCS data of The Korea Highway Coperation, and selected the variable to express a leisure passing characteristic of the highway. The variable to be selected uses SAS a 8.01 statistics package, and distinguished a leisure road interval through the principal analysis and discriminant analysis. The maximum month rate and the holiday rate to have the senior relation of the quantity with a leisure passing through the analysis of variables and AADT and freight car rate which has a negative senior relation. We classified such interrelationship as 4 variables to the criteria. The back to a non-leisure road interval of Kyungbu Route Singal - Ansan Route was distributed as did others. Also We presented the criteria of variables of a leisure road interval on the basis also the data to be distinguished. A leisure passing high interval will need to highway operation strategy like the established of facilities or information display.

합리적 수계관리를 위한 오염부하량 산정기법의 평가와 개선

김영일 全北大學校 2007 국내박사

Wit the rise of living standard and the development of technologies, people’s life is getting more convenient and the sources of pollutants are increasing. To cope with the environmental problem and to improve water quality environment, the Total Maximun Daily load management system has been introduced. Aiming at both local development and water quality preservation, the water quality total maximum daily load system sets the target water quality of each section of water system based on scientific grounds and controls the total pollution load of the section to achieve the target. The success of the water quality management system depends on how to estimate pollution load rationally and how to allot the load to each drainage area. As the estimated discharged load and the quota load for each drainage area have a considerable impact on the industry and economy of the corresponding area, the estimation of the pollution load and the allocation of load Removal fraction must be made scientifically as well as in consideration of the economic level and local characteristics of each drainage area. With the full application of the total pollution load management system, the present study purposed to make a technological review of existing pollution load estimation methods, development load estimation methods and load Removal fraction allocation methods and, through this, to identify problems in the technological guidelines for discharged load estimation and water quality total pollution load management and to suggest scientific and rational water system management methods. When we examined the existing technological guidelines for estimating pollution load in three river basins and calculated the pollution loads after revising the methods of estimating Inhabitants load, Land-use load and sewage treatment plant load, etc., the load was adjusted to 83.3% for Jeonju A, 81.4% for Tapchon A and 79.1% for Wonpyeong A, showing the possibility for adjusting pollution load according to the situation of each locality

Methicillin-내성 포도상구균의 각종 항균제에 대한 내성양상과 Plasmid DNA의 특성

김영일 전남대학교 대학원 1994 국내박사