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Data Base의 效率的 管理 및 이를 위한 文書化에 관한 硏究
鄭洪 啓明大學校 産業技術硏究所 1988 産業技術硏究所 論文報告集 Vol.10 No.-
As the computerized operations are rising in the data processing field of every organization, database systems are being increasingly used to process bulky volumes of data effectively. Database systems have many benefits such as the integrity and security of data, but we have to design and implement the systems appropriately to utilize the strong points of them, Also it is very important to maintain them in good order. In this paper, I approached the function of a DBA(Database Administrator) who takes charge of the management of database and the related documentation, and studied the methods of protection and security of database which are the most important duty of DBA. I also discussed the contents and procedures of documentation for the efficient operation of database, and the introduction of DD/DS(Data Dictionary/Directory System) for the documentation.
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정홍 啓明大學校 産業技術硏究所 1996 産業技術硏究所 論文報告集 Vol.19 No.1
In recent years, their have been a number of application of fuzzy logic, especially in fuzzy reasoning systems. In most of these applications, the main design objective is to construct a fuzzy system to approximate a desired control or decision. This paper designs a fuzzy reasoning model for decision making systems, simulates it to the determination of wage level of employees appling four linguistic and fuzzy rules, and evaluates the practical availability of the model.
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정홍,최승진,정민화,박기윤,허희수,이용진 한국뇌학회 2003 한국뇌학회지 Vol.3 No.1
인간의 생물학적 청각정보 처리와 대뇌에서 일어나는 능동적 추론과정에 기초하여 실시간 음성 인식 성능을 향상한다. Non-negative Matrix Factorization(NMF)과 Principle Component Analysis(PCA)를 이용한 음성 정보 표현과 특징 추출 그리고 차원 축소에 관한 방법을 제시하고 효율적으로 메모리를 구성하기 위해 기존의 최적화된 정적 네트워크를 동적으로 운영하는 방법인 대어휘 연속음성 인식용 반-동적 네트워크 디코더를 소개한다. 연속음성 인식시스템의 인식률을 향상하기 위해 형태소와 어절의 생성규칙을 확률적으로 모델링하여 두 단계의 작업을 동시에 처리하기 위한 재귀적 계산구조를 제안한다. We improved speech recognition performance based on biological human auditory information processing and active reasoning in the brain. First we suggest feature extraction and data dimension reduction for speech signal using Non-negative Matrix Factorization(NMF) and Principal Component Analysis(PCA). Then we propose a semi-dynamic network decoding framework for large vocabulary continuous speech recognition(LVCSR) that can handle an optimized static search network dynamically. Finally we propose an integrated recursive computation structure that model generating rule of morpheme and a Korean word, called Eojeol. using probability for continuous speech recognition.
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A Combined Method for Knowledge Discovery in Databases
정홍 啓明大學校 産業技術硏究所 1998 産業技術硏究所 論文報告集 Vol.21 No.2
This paper suggests a combined method for discovering knowledge from a large database. Our approach applies an attribute-oriented concept hierarchy ascension technique to extract generalized data from actual data in databases, induction of decision trees to measure the value of information, and knowledge reduction of rough set theory to remove dispensable attributes and attribute values. The combined algorithm first reduces the size of database for the concept generalization, reduces the number of attributes by way of eliminating condition attributes which have little influence on decision attribute, and finally induces simplified decision rules removing the dispensable attribute values by analyzing the dependency relationships among the attributes.
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鄭洪 啓明大學校 産業技術硏究所 1987 産業技術硏究所 論文報告集 Vol.9 No.-
While the use of computers is rising, it is evident that computer-based information systems must timely provide an accurate and reliable information to the users who are concerned. Although the system is well designed and programmed, it is of no use if the input data is not accurate or reliable. Errors mostly occur at the stage of preparing input data among whole procedures of data processing This paper analyses the origins and types of errors existing in the input data, studies a variety of error checking procedures and techniques including the detection and correction of errors, and suggests the preventive techniques of such errors
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정홍 대한요로생식기감염학회 2013 Urogenital Tract Infection Vol.8 No.1
Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) in the absence of any identifiable pathology such as cancer, curable infection, or anatomic abnormalities is defined as “urologic pain or discomfort in the pelvic region, associated with urinary symptoms and/or sexual dysfunction, lasting for at least 3 of the previous 6 months”. However, etiologic factors of CP/CPPS remain unknown. The traditional marker of inflammation, namely white blood cells in prostatic fluids, dose not correlate with the predominant symptom of pelvic pain. The role of normal bacterial flora in prostate in inciting the inflammatory response has also been reconsidered. Nanobacterial infection might be an important etiologic factor of type III prostatitis. An imbalance toward increased proinflammatory and decreased anti-inflammatory cytokines has been implicated, and its correlation with pelvic pain has also been observed to some extent. Pelvic pain also correlates with the neurotrophin (nerve growth factor) implicated in neurogenic inflammation and central sensitization. Finally, psychological stress may produce measurable biochemical changes and affect other processes. Here, the author reviewed the existing literature on etiology involved in the mechanisms of CP/CPPS.
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정홍 啓明大學校 産業技術硏究所 1997 産業技術硏究所 論文報告集 Vol.20 No.-
This paper studies a method for making efficient classification rules in the ID3 using the rough set theory. Decision tree technique of the ID3 always uses all the attributes in a table of examples for making a new decision tree, but rough set technique can in advance eleminate dispensable attributes. And the former generates only one type of classification rules, but the latter generates all the possibles types of them. The rules generated by the rough set technique are the simplist form as proved by the rough set theory. Therefore, ID3, applying the rough set technique, can reduct the size of the table of examples, generate the simplist form of the classification rules, and also implement an effective classification system.
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