釜山地域 신발, 봉제산업의 製造再編成에 관한 實證的 硏究

박재운 釜山大學校 1993 국내석사

GPS 受信機 開發에 관한 硏究

박재운 東亞大學校 1995 국내박사

For the synchronization of highway communication network and the measurement of the exact location, a precise frequency should be used for the systems widly spreaded on the globaly. LORAN_C(Long Range Navigation) or NNSS(Navy Navigation Satellite System) along with others has bun used Lip to now, but the prospect is that a technology utilizing an artificial satellite like GPS(Global Positioning System) upon the requirement of several constraints would be generally used in the future for highly precise accuracy. GPS is a navigation system using an artificial satellite which has been developed since 1973 by the Department of Defense of the United States of America, and the total number of 24 satellites circulate around the earth every 12 hours in the altitude of 20,000㎞. Therefore signals can be received from more than 4 satellites from anywhere on the earth so that the three-dimensional position interpretation and the precise decision time become possible at any time for 24 hours a day, The GPS receiver system implemented in this study is a four channel sequence receiving system using 11 band for a local base. The efficiency of the receiver system was found to be fairly good. L1 of 1575.42㎒ and L2 of 1227.6㎒ is employed for the transmission frequency of GPS. For CDMA(Code Division Multiple Access) direct sequence spread spectrum is adopted. The transmission part of CPS satellite uses the spread spectrum including pseudo-noise code such as C/A code and P code. Data signal transmitted by satellite is the code which has been spreaded by modulo 2 adder and phase-modulated. The modulated signal is transfered to the users through the beam antenna and the amplifier. To extract the necessary navigation data from the spread-modulated signal of GPS satellite, PRN code is removed from the received signal by the Phase noncoherent DLL(Delay Lock Loop), and then the carrier is rejected by Costas Loop and finally the right navigation data is obtained by suppressing additive white Gaussian noise through the data recovery circuit.

단부구속효과를 고려한 철근콘크리트 기둥의 극한강도해석

박재운 弘益大學校 1991 국내박사

사물인터넷 기반 실내 환경 관제시스템에 관한 연구

박재운 동신대학교 일반대학원 2016 국내석사

오늘날 많은 사람들은 공동의 실내 공간에서 학업이나 업무 등의 다양한 일을 수행한다. 그러나 이렇게 함께 공동으로 사용하는 공간은 여러 가지 오염 요인에 의해 업무의 효율 뿐 만아니라 건강에도 좋지 않은 영향을 미치게 될 수 있다. 그래서 무엇보다도 공동으로 사용하는 공간에 대한 쾌적한 환경의 유지가 중요한 요소로 인식되고 있다. 본 논문에서는 이러한 공동으로 사용되는 사무실이나 도서관, 강의실 등의 공간을 보다 쾌적한 환경으로 만들기 위해서 환경적으로 유해한 요소들을 분석하고, 이러한 유해 요소들을 관리하여 보다 좋은 생활환경을 제공하기 위한 통합 실내 환경 관제시스템에 관해 연구하고자 한다. 본 논문에서 설계 및 구현하고자 하는 통합 실내 환경 관제시스템은 실내 환경에 유해한 요소들을 측정하고, 이를 토대로 유해 환경을 자동으로 모니터링 및 개선해주는 시스템이다. 이 시스템은 먼저 환경에 유해한 영향을 미칠 수 있는 요소들을 센서를 통하여 수집하고 서버로 전송하며, 상황에 따라 액추에이터를 구동시킬 수 있도록 MCU(Micro Controller Unit)를 사용한다. 이 시스템의 서버에서는 주기적으로 MCU로부터 전달된 센서 정보들을 저장할 뿐만 아니라, 정보들로부터 유해 정도를 판단하여 실시간으로 여러 장치들을 제어하기 위한 제어정보를 MCU로 전달하여 액추에이터를 구동시킨다. 또 향후 데이터의 통합적인 관리를 위해 DB에 저장한다. 이 관제시스템은 실시간으로 관리자나 사용자들이 웹 환경에서 일반 PC나 스마트폰을 통해 여러 가지 정보를 확인하고 제어할 수 있도록 한다. 제안된 실내 환경 관제시스템은 실내 환경의 상태를 실시간으로 모니터링 할 수 있고 액추에이터를 구동시킴으로써 쾌적한 환경을 제공할 것이다. 또한, 각종 실내 공간에 적용할 수 있을 뿐만 아니라 사람들의 실내 환경오염 인지도 역시 높이는 방안이 될 것이다.

API 특징을 이용한 Deep Learning기반 악성코드 탐지

박재운 건국대학교 대학원 2017 국내석사

컴퓨터와 인터넷이 지속적으로 발전함에 따라 이에 대한 부작용으로써 악성코드를 이용한 사이버공격이 증가하였다. 또한 공격이 더욱 다양화, 지능화되어 지고 있다. 하지만 기존의 AntiVirus 및 탐지 기술은 이미 알려진 악성코드를 많은 시간과 노력을 투자를 통해 분석을 하고 그 이후에 업데이트를 하여 악성코드를 탐지하고 막는 형식을 띄고 있기 때문에 신·변종 악성코드를 탐색에 어려움이 따른다. 이에 따라 신·변종 악성코드를 탐지하기 위해 오늘날에는 주로 휴리스틱, 행위기반, 서명기반 방식 등의 연구가 진행되어 지고 있다. 악성코드를 탐지하기 위해서는 악성코드를 분석하여 악성코드의 행위를 나타내는 특징을 가진 정보들을 추출하여야한다. 주로 API함수, 바이너리, String, 해쉬, 네트워크 로그 등이 이에 해당한다. Machine Learning은 새로 발견 된 수많은 양의 악성코드를 감지하는 데 필요한 작업을 자동화하는데 주요하고, 정상적 소프트웨어와 악성코드의 일반적 형태를 학습하여 잠재적으로 완전히 새로운 알려지지 않은 악성코드를 탐지하기 위해 사용되어 지고, 실질적으로도 Machine Learning을 활용한 악성코드 탐지기법들이 제안되어 지고 있다. 본 논문에서는 Machine Learning을 학습하기 위해서 필요한 악성코드의 특징으로 악성코드가 실행될 때의 API의 호출 정보를 사용할 것이고 Machine Learning 알고리즘으로는 심화신경망(Deep Neural Network)를 활용한 Deep Learning을 사용하여 악성코드의 탐지율과 오탐율을 확인한 뒤 기존의 Machine Learning과 Deep Learning을 사용 하였을 때를 비교 분석할 것이다. As computers and the Internet continue to evolve, cyber attacks using malicious code have increased as a side effect. In addition, attacks are becoming more diversified and intelligent. However, existing antivirus and detection technologies analyze known malicious code with much time and effort, update it afterwards, detect malicious codes and prevent malicious codes from exploiting new and variant malicious codes. These are difficulties. Thus, in order to detect new and variant malicious codes, researches on heuristic, behavior based, and signature based methods are being carried these today. In order to detect malicious codes, We should extract information which indicate the behavior of malicious code from it. These are mainly API functions, binary, strings, hashes, and network logs. Machine learning is used to automate the tasks required to detect a large number of newly discovered malicious codes and to learn the normal forms of malicious software and potentially entirely new unknown malicious code, Practically, malicious code detection techniques using machine learning have been proposed. In this paper, we use the API call information when malicious code is executed as a feature of malicious code necessary to learn machine learning. As the machine learning algorithm, Deep Learning using deepening neural network will be used. The results of this study will be compared with those of the existing machine learning and deep learning.

2005학년도 대학입시가 제7차 선택중심 교육과정에 미치는 영향 : 일반계 고등학교 일반사회영역을 중심으로

박재운 경북대학교 교육대학원 2005 국내석사

In the 7th curriculum, the government adopted the selection -centered curriculum in the 2nd and the 3rd grade of high school not only to meet the local and the school's peculiar characteristics and students' demand for education to the full, but also to expand students' right for option. The bottom line of choosing the curriculum is to operate the curriculum equivalent to students' course, aptitude, demand and scholastic ability. Accordingly, we require systematic education that makes students consider their ability, interest, concern and aptitude, so they can opt for their college and major in close connect in with advanced subjects selected in high school. The point of 7th selection-centered curriculum is to help students choose appropriate subjects based on their quality, course and scholastic aptitude. Unfortunately, under the current situation of focusing on college entrance, it is very difficult to set up curriculum which helps decide scholastic courses and choose the appropriate subjects according to his or her aptitude. Today, we are facing serious educational problems ― that is, schools tend to organize a curriculum composed of subjects which are favorable to the students for the college entrance. Students tend to choose several subjects which are beneficial to themselves for the college scholastic ability test, since the grade they earned in the college scholastic ability test is crucial for choosing college or college coursework. In addition, Standard Point System gives rise to imbalance depending on the degree of how difficult examination subjects are. So, it is urgent to improve education reality in that selection-centered curriculum has been being operated out of balance; It is difficult to achieve the goals of social studies that are intended to build the quality of the democratic citizen because the range of option is so narrow for them to study in high school and they are practically forced to select some of social studies depending on high school curriculum and the number of available teaching staff and consequently, the most of selected subjects have little to do with the major subjects in college. To operate the 7th selection-centered curriculum effectively and efficiently under the current system, which expands students' right for option, we should try to improve the process of curriculum organization and curriculum operation, have to necessarily make devices that lessen the percentage of high school record reflection in the college entrance and boost close connection considerably between high school education and college education. Of course, parents and students who rely on private education should change their mind-set: we should value selection-centered curriculum that emphasize students' expectation, aptitude, ability and courses particularly in the college entrance.

中.高等學校 敎科書의 口語英語에 나타난 談話不變化詞 硏究 : -well, all right, ok를 中心으로-

박재운 大邱大學校 1993 국내석사

우리나라 항만물류산업의 국민경제 기여도 및 총산출 분해를 통한 성장기여요인 분석 : 산업연관분석을 중심으로

박재운 부산대학교 2007 국내박사

The objective of this dissertation is to figure out the importance of port-logistics industry in the national economy of Korea through the input-output analysis to understand the exact position of the industry in Korean economy. In particular, this dissertation examines the main influential factors on the growth of the port-logistics industry by the decomposition of total supply and demand equations. The major findings of this study are as follows. First, it is found that the ratio of the port-logistics industry to national economy is increasing in the most indies except for the value-added ratio. This result shows that the port-logistics industry is a rapidly growing industry with high potential. Second, the port-logistics industry's contribution ratio to the national economy measured by the decomposition of total output is appeared to be higher than other industries. Among the major influential factors, demand for export and import -substitution for intermediary goods play key roles on the growth of national economy. In case of the major influential factors by decomposition of total import, import-substitution for intermediary goods and import of intermediary goods by the expansion of export and import of final goods by the expansion of final consumption are the major factors that give impacts on the increase in the import. Third, absolute gap-based growth factors for the industry by decomposition of total output are import-substitution for intermediary goods, technological change, and demand for export. In case of deviation from proportional growth factors by decomposition of total output, demand for export, final demand are the major factors that give impact on the increase in the output. Forth, major growth factors for the industry by decomposition of total import are import for intermediary goods by the expansion of export, import-substitution for intermediary goods, and import-substitution for final goods. In conclusion, demand for export has an important and major impact on the expansion of the total output and the increase in import. Thus, for the sustainable development and growth of the port-logistics industry, it is required to raise the ratio of localization of parts and components and intermediary materials. It is also required to lower the ratio of import dependency for the intermediary goods and final products.

茶山 丁若鏞의 體育思想에 關한 硏究

박재운 韓國敎員大學校 大學院 1993 국내석사

中.高等學校 敎科書의 日語英語에 나타난 談話不變化詞 硏究

박재운 대구대학교 1993 국내석사