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배경일,황치원 대전대학교 한방병원 2000 惠和醫學 Vol.9 No.2
In the literatual study on the Resuscitation(蘇生術) of Jayaeksa(自縊死) and Yiksusa(溺水死), the result were as follows; 1. For prognosis, a medical treatment is possible for day time and summer season and simhaon(心下溫) but hard for night time acceleration of yin and simhabulon(心下不溫). 2. Airway security and heart massage are similar to the current resuscitation. 3. As the artificial respiration, mouth to mouth breathing, mouth to nose breathing and mouth to ear brearhing were used. 4. The instruments used for artificial respiration are bamboo tube, green onion leaf, reed pipe etc. 5. As the single herb medication gesim(桂心), sesin(細辛), johyub(??莢), indigojuice(藍汁), gegoanhyul(鷄冠血), yangsangjin(梁上塵), gehyul(鷄血), chongyub(蔥葉), songjayu(松子油), gesibaek(鷄屎白), banha(半夏), jogak(??角), yukge(肉桂), feces(屎), alchohol(酒), vinegar(酢) etc. were used. 6. As the medication chuibub(吹法), guanbub(觀法), dropping(滴法), hukbibub (??鼻法), rubbing(擦法), myunguabub(綿裏法), whoha(喉下), and gunaebub(口內法) were used. 7. The parts of using moxibustion are injung(人中), jigon(地坤), acroarthrosubside(四肢關節陷沒部), umbilicus(臍中), etc.
문화통계 데이터베이스 설계의 일반적인 접근방식에 관한 연구
배상빈,문경일 호남대학교 정보통신연구소 2005 정보통신연구 Vol.15 No.-
A culture statistical database system is a database system that can model, store and manipulate culture data in a manner well suited to the needs of users who want to perform statistical analyses on the culture data. Culture statistical databases have some special characteristics and requirements that are not supported by existing commercial database management systems. From the end user's perspective, whether the statistical calculations are being performed in the database or in a statistical package can be quite transparent, especially from a functionality viewpoint. However, once the datasets to be analyzed grow beyond a certain size, the statistical package approach becomes infeasible, either due to its inability to handle large volumes of data, or the unacceptable computation times which make interactive analysis impossible. In addition, an increasing number of applications today want the ability to perform interactive and on-line analysis of this data in real time, such as "what-if" analysis in forecasting. The emergence of multiple gigabyte corporate data warehouses, with on-line analytical processing and data mining type of analyses on them, is a good example of this trend. Hence, there is an increasing need for supporting culture statistical functions directly inside the database system. In this article we provide a general overview of culture statistical database design, with specific focus on the various technical issues and proposed approaches. By its very nature, the treatment here is brief, and many details have been omitted.