황해 및 인접 지역 퇴적분지들의 구조적 진화에 따른 층서 (Stratigraphic response to tectonic evolution of sedimentary basins in the Yellow Sea and adjacent areas)
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- 한국석유지질학회지
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- 제8권1_2
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- pp.1-43
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- 2000
황해 및 인접 지역에 위치하는 퇴적 분지들의 구조적 진화에 따른 층서를 이해하기 위한 비교 연구가 통합층서기술을 이용하여 수행되었다. 본 연구의 잠정적 결과로 우리는 각 분지별 퇴적층들의 시
토양정밀조사결과 우리나라에서 밝혀진 235 개(個)의 토양통에 대하여 분류체계를 확립(確立)코저 미국(美國)의 신토양분류법에 준(準)하였는바 60개(個)의 아군으로 구분할 수 있었다. 그러나 수도재배기간중(水稻栽培期間中) 담수상태(湛水狀態)를 유지(維持)하게되는 답토양들은 신분류법(新分類法)에 분류기준(分類基準)이 확립(確立)되어 있지않아 토양형태적특성에 입각(立脚)하여 분류(分類)코저 할때 무리(無理)가 있음을 알 수 있었다. 답토양의 분류상(分類上) 문제시(問題視)된 것은 토양아군의 수준(水準)에서 18개(個)였으며 이들 새로운 아군에 대하여 분류기준(分類基準)을 설정(設定)(Setup)하였는 바 그 분류시안(分類試案)의 내용(內容)을 요약(要略)하면 다음과 같다. Anthro aquic, Aquic Udipsamments; 관개수(灌漑水)의 영향(影響)을 받아 표토(表土)로 부터 50cm이상(以上) 회색화작용(灰色化作用)을 받은 사질계충적토(砂窒系沖積土)이며 사두(沙頭)및 김천통등(金川統等)이 이에 속(屬)한다. Anthroaquic Udipsamments; 관개수(灌漑水)의 영향(影響)을 받아 표토(表土)로 부터 50cm 이내(以內)에서 회색화작용(灰色化作用)을 받은 사질계충적토(砂窒系沖積土)로 백수통(白岫統)이 이에 속(屬)한다. Halic Psammaquents; 개답년대(開畓年代)가 오래되지 않은 간척지의 염해답으로 낙천통이 이에 속(屬)한다. Anthroaquic, Aquic Udifluvents; 관개수(灌漑水)의 영향(影響)을 받아 표토(表土)에서 50cm이상(以上) 회색화작용(灰色化作用)을 받은 사양질 및 식양질계 충적토로 마영통(馬嶺統)이 이에 속(屬)한다. Anthroaquic Udifluvents: 관개수(灌漑水)의 영향(影響)을 받아 표토(表土)로부터 50cm이내(以內)에서 회색화작용(灰色化作用)을 받은 사양질 및 식양질계 충적토로 행곡통(杏谷統)이 이에 속(屬)한다. Fluventic Haplaquepts: 지하수위(地下水位)가 높아 토양은 전층이 회색화(灰色化)된 습답으로 유기물(有機物)의 함량(含量)은 토심(土深)이 깊어짐에 따라 불규칙적(不規則的)으로 감소(減少)되는 회색토(灰色土)로 백구 및 학성통등(鶴城統等)이 이에 속(屬)한다. Fuventic Thapto-Histic Haplaquepts: Fluventic Haplaquepts와 유사(類似)하나 토양단면내에 유기물층이 개재된 습답으로 공덕(孔德) 및 서탄통(西炭統)이 이에 속(屬)한다. Fluventlc Aeric Haplaquepts: Fluventic Haplaquepts보다 지하수위(地下水位)가 비교적(比較的) 낮으므로 토양배수가 약간 불량(不良)한 회색토(灰色土)로 만경(萬頃) 및 전북통등(全北統等)이 이에 속(屬)한다. Fluventic Thapto-Histic Aeric Hapldquepts: Fluventic Thapto-Histic Haplaquepts보다 지하수위(地下水位)가 비교적(比較的) 낮으므로 토양배수가 약간 불량(不良)한 회색토(灰色土)로 봉남통(鳳南統)이 이에 속(屬)한다. Fluventic Aeric Sulfic Haplaquepts: Fluventic Aeric Haplaquepts에 비(比)하여 토심(土深) 50~150cm 사이에 황색반문(黃色斑紋)(PH<4.0)인 유화물집적층이 있는 회색토(灰色土)로 등구통이 이에 속(屬)한다. Fluventic Sulfaquepts: 이들 토양은 주(主)로 강하류(江下流)에서 바다로 유입(流入)되는 지점(地点) 및 간석 소택지에 분포(分布)되며 표토(表土)에서 50cm이내(以內)에 유화물집적층이 있는 습답으로 봉림(鳳林) 및 해척통(海拓統)이 이에 속(屬)한다. Fluventic Aeric Sulfaquepts: Fluventic Sulfaquepts 보다 지하수위(地下水位)가 비교적(比較的) 깊으므로 토양 배수(排水)가 약간 불량(不良)한 회색토(灰色土)로 김해통(金海統)이 이에 속(屬)한다. Anthro aquic Fluvaquentic Eutrochrepts: 관개수(漑水)의 영향(影響)을 받아 표토(表土)로 부터 50cm이상(以上) 회색화(灰色化)되고 염기포화도가 높은(>60%) 토양이며 장유(長有) 및 칠곡통등(漆谷統等)이 이에 속(屬)한다. Anthro aquic Dystric Fluventic Eutrochrepts: Anthro aquic Fluvaquentic Eutrochrepts와 유사(類似)하나 회색화작용(灰色化作用)은 표토(表土)로부터 50cm이내(以內)에서만 나타나는 토양이며 월곡(月谷) 및 경산통등(慶山統等)이 이에 속(屬)한다. Anthro aquic Fluventic Dystrochrepts; Anthro aquic Dystric Fluventic Eutrochrepts에 비(比)하여 염기포화도가 낮은(<60%) 토양으로 고천(高川) 및 비곡통등(秘谷統等)이 이에 속(屬)한다. Anthre aquic Eutrandepts; 염기포화도가 높은 (>50%) 화산회토(火山灰土)로 대정통(大靜統)이 이에 속(屬)한다. Anthre aquic Hapludalfs; 관개수(灌漑水)의 영향(影響)을 받아 표토(表土)로부터 50cm 이내(以內)에서 회색화작용(灰色化作用)을 받은 적황색토(赤黃色土)로 화동(華東) 및 용수통등이 이에 속(屬)한다. Anthro aquic Aquic Hapludalfs; Anthro aquic Hapludalfs에 비(比)하여 회색화작용(灰色化作用)을 더 받은(표토(表土)에서 50cm이상(以上)) 적황색토(赤黃色土)로 덕평(德坪) 및 극락통등이 이에 속(屬)한다.
At the initial stage of Internet advertising, banner advertising came into fashion. As the Internet developed into a central part of daily lives and the competition in the on-line advertising market was getting fierce, there was not enough space for banner advertising, which rushed to portal sites only. All these factors was responsible for an upsurge in advertising prices. Consequently, the high-cost and low-efficiency problems with banner advertising were raised, which led to an emergence of keyword advertising as a new type of Internet advertising to replace its predecessor. In the beginning of 2000s, when Internet advertising came to be activated, display advertisement including banner advertising dominated the Net. However, display advertising showed signs of gradual decline, and registered minus growth in the year 2009, whereas keyword advertising showed rapid growth and started to outdo display advertising as of the year 2005. Keyword advertising refers to the advertising technique that exposes relevant advertisements on the top of research sites when one searches for a keyword. Instead of exposing advertisements to unspecified individuals like banner advertising, keyword advertising, or targeted advertising technique, shows advertisements only when customers search for a desired keyword so that only highly prospective customers are given a chance to see them. In this context, it is also referred to as search advertising. It is regarded as more aggressive advertising with a high hit rate than previous advertising in that, instead of the seller discovering customers and running an advertisement for them like TV, radios or banner advertising, it exposes advertisements to visiting customers. Keyword advertising makes it possible for a company to seek publicity on line simply by making use of a single word and to achieve a maximum of efficiency at a minimum cost. The strong point of keyword advertising is that customers are allowed to directly contact the products in question through its more efficient advertising when compared to the advertisements of mass media such as TV and radio, etc. The weak point of keyword advertising is that a company should have its advertisement registered on each and every portal site and finds it hard to exercise substantial supervision over its advertisement, there being a possibility of its advertising expenses exceeding its profits. Keyword advertising severs as the most appropriate methods of advertising for the sales and publicity of small and medium enterprises which are in need of a maximum of advertising effect at a low advertising cost. At present, keyword advertising is divided into CPC advertising and CPM advertising. The former is known as the most efficient technique, which is also referred to as advertising based on the meter rate system; A company is supposed to pay for the number of clicks on a searched keyword which users have searched. This is representatively adopted by Overture, Google's Adwords, Naver's Clickchoice, and Daum's Clicks, etc. CPM advertising is dependent upon the flat rate payment system, making a company pay for its advertisement on the basis of the number of exposure, not on the basis of the number of clicks. This method fixes a price for advertisement on the basis of 1,000-time exposure, and is mainly adopted by Naver's Timechoice, Daum's Speciallink, and Nate's Speedup, etc, At present, the CPC method is most frequently adopted. The weak point of the CPC method is that advertising cost can rise through constant clicks from the same IP. If a company makes good use of strategies for maximizing the strong points of keyword advertising and complementing its weak points, it is highly likely to turn its visitors into prospective customers. Accordingly, an advertiser should make an analysis of customers' behavior and approach them in a variety of ways, trying hard to find out what they want. With this in mind, her or she has to put multiple keywords into use when running for ads. When he or she first runs an ad, he or she should first give priority to which keyword to select. The advertiser should consider how many individuals using a search engine will click the keyword in question and how much money he or she has to pay for the advertisement. As the popular keywords that the users of search engines are frequently using are expensive in terms of a unit cost per click, the advertisers without much money for advertising at the initial phrase should pay attention to detailed keywords suitable to their budget. Detailed keywords are also referred to as peripheral keywords or extension keywords, which can be called a combination of major keywords. Most keywords are in the form of texts. The biggest strong point of text-based advertising is that it looks like search results, causing little antipathy to it. But it fails to attract much attention because of the fact that most keyword advertising is in the form of texts. Image-embedded advertising is easy to notice due to images, but it is exposed on the lower part of a web page and regarded as an advertisement, which leads to a low click through rate. However, its strong point is that its prices are lower than those of text-based advertising. If a company owns a logo or a product that is easy enough for people to recognize, the company is well advised to make good use of image-embedded advertising so as to attract Internet users' attention. Advertisers should make an analysis of their logos and examine customers' responses based on the events of sites in question and the composition of products as a vehicle for monitoring their behavior in detail. Besides, keyword advertising allows them to analyze the advertising effects of exposed keywords through the analysis of logos. The logo analysis refers to a close analysis of the current situation of a site by making an analysis of information about visitors on the basis of the analysis of the number of visitors and page view, and that of cookie values. It is in the log files generated through each Web server that a user's IP, used pages, the time when he or she uses it, and cookie values are stored. The log files contain a huge amount of data. As it is almost impossible to make a direct analysis of these log files, one is supposed to make an analysis of them by using solutions for a log analysis. The generic information that can be extracted from tools for each logo analysis includes the number of viewing the total pages, the number of average page view per day, the number of basic page view, the number of page view per visit, the total number of hits, the number of average hits per day, the number of hits per visit, the number of visits, the number of average visits per day, the net number of visitors, average visitors per day, one-time visitors, visitors who have come more than twice, and average using hours, etc. These sites are deemed to be useful for utilizing data for the analysis of the situation and current status of rival companies as well as benchmarking. As keyword advertising exposes advertisements exclusively on search-result pages, competition among advertisers attempting to preoccupy popular keywords is very fierce. Some portal sites keep on giving priority to the existing advertisers, whereas others provide chances to purchase keywords in question to all the advertisers after the advertising contract is over. If an advertiser tries to rely on keywords sensitive to seasons and timeliness in case of sites providing priority to the established advertisers, he or she may as well make a purchase of a vacant place for advertising lest he or she should miss appropriate timing for advertising. However, Naver doesn't provide priority to the existing advertisers as far as all the keyword advertisements are concerned. In this case, one can preoccupy keywords if he or she enters into a contract after confirming the contract period for advertising. This study is designed to take a look at marketing for keyword advertising and to present effective strategies for keyword advertising marketing. At present, the Korean CPC advertising market is virtually monopolized by Overture. Its strong points are that Overture is based on the CPC charging model and that advertisements are registered on the top of the most representative portal sites in Korea. These advantages serve as the most appropriate medium for small and medium enterprises to use. However, the CPC method of Overture has its weak points, too. That is, the CPC method is not the only perfect advertising model among the search advertisements in the on-line market. So it is absolutely necessary that small and medium enterprises including independent shopping malls should complement the weaknesses of the CPC method and make good use of strategies for maximizing its strengths so as to increase their sales and to create a point of contact with customers.
조선왕조초기(朝鮮王朝初期)부터 농업초기정책(農業初期政策)은 지역농업(地域農業)의 현실적(現實的) 조건(條件)과 결부(結付)된 농사직설(農事直說)과 같은 농서(農書) 발간(發刊)에 의해 부여(附與)되었다. 그 책(冊)들은 새롭고, 집약적(集約的)인 농업기술(農業技術)을 제공(提供)하였다. 이 농서(農書)는 그 당시(當時)에 농촌지역(農村地域)에서 경험(經驗)된 우수한 농업기술(農業技術)을 수집(蒐集)하여 만든 것이다. 농사직설(農事直說)에 따르면 벼 재배(栽培)는 무삶이(담수직파법(湛水直播法)), 건삶이(건답직파법(乾畓直播法)), 이앙법(移秧法) 그리고 산도법(山稻法)(육도법(陸稻法))으로 분화(分化)되었다. 이들 농법(農法)에 구비된 고도기술적특성(高度技術的特性)은 과학적제초기술(科學的除草技術)과 적극적인 시비법(施肥法), 축력(畜力)과 인력용(人力用)의 농기(農機)로 일관되게 체계화(體系化)시킨 농작업방법(農作業方法)에 근거(根據)를 두고 있다는 점이다. 해안(海岸)의 습지(濕地)와 황지(荒地)의 개간(開墾)은 화경(火耕)와 윤목(輪木)이라 칭하는 제초장비(除草裝備)로 인하여 가능케 되었다. 또한 벼의 묘령단계(苗令段階)에서 토양(土壤)의 간인(間引), 토기작업(土寄作業)과 동시에 섬세한 제초작업(除草作業)을 할 수 있도록 분화(分化), 발달(發達)된 호미가 있었다. 직파(直播)벼재배(栽培)는 저류지(貯溜地)와 소택(沼澤)을 만들어 평야수전(平野水田)의 직파재배(直播栽培)를 가능케 하였으며, 곡간지답(谷間地畓)은 보(洑)를 만들어 개간했다. 이들은 관수(灌水)에 의해 제초를 쉽게 하는 동시에 관수중(灌水中) 무기영양(無機營養)을 통(通)한 토양비옥도(土壞肥沃度) 유지 및 벼의 생리적(生理的) 호조건(好條件)을 부여하여 논의 생산성(生産性)을 증대시킬 수 있었다. 또한 이앙(移秧)을 하면 더욱 성력재배(省力栽培)가 가능하였을 것이지만 전국적인 물의 사용제약성(使用制約性)때문에 이앙법(移秧法)을 원칙적으로 금해 오지 않을 수 없었다. 건전재배(乾田栽培)에서 직파재배(直播栽培)가 수립되었으며, 수도(水稻)가 직파(直播)되고 유묘기까지 건토(乾土)에 재배(栽培)되었으며 농사직설(農事直說)에서처럼 비올때 관수토양(灌水土壤)에 재배(栽培)되었다. 조선중기(朝鮮中期)(AD 1495-1725)에는 벼 농사(農事)에서의 제초효율(除草效率)과 편리성(便利性) 때문에 정조식(正條式) 이앙법(移秧法)을 포함한 탁월한 성력농법(省力農法)(한정록(閑情錄))과 벼 이앙에 근거(根據)(농사직설(農事直說))하여 못자리(묘대) 기술(벼의 조기이앙(早期移秧)이 강조(强調)되었다. 비료분(肥料分)을 다량투입(多量投入)하고 우력(牛力)을 이용(利用)하여 심경(深耕)해야 한다는 일련(一連)의 기술(技術)들은 토지(土地)와 노동생산성(勞動生産性)을 향상 시키는 것이었다. 농가집성(農家集成)때보다 산림경제(山林經濟)때에 발전된 사항은 오늘날의 육묘대법(陸苗垈法)과 마찬가지인 건앙법(乾秧法)을 개발하여 이앙재배(移秧栽培)하게 만든 것이며, 답이모작(畓二毛作)을 확립(確立)시켜서 답작(畓作)의 노동(勞動) 및 토지생산성(土地生産性)을 높이게 된 것이다. 이결과 소경영생산양식(小經營生産樣式)을 경영형(經營型) 부농적(富農的) 생산양식(生産樣式)으로 변화시켜 광작농법사회(廣作農法社會)를 태동(胎動)시켰다. 우하영(禹夏永)(1741-1812) 은 천일록(千一錄)을 통하여 당시의 광작농(廣作農)이 갖는 폐단을 집약적(集約的) 농법(農法)으로 개혁하고자 하였고, 그가운데 탁월한 견해로서 농지(農地)를 토질(土質)에 따라 이앙법(移秧法)과 grooving 파종법(播種法)(전(田))으로 땅(토지(土地))의 이용을 구분한 것이다. 특히 서유가(徐有架)(산림경제(山林經濟))가 주장한바 이앙(移秧)의 유리성(有利性)은 제초노력이 절감되고 묘대(苗垈)와 본답(本畓)의 토지기력(土地氣力)을 얻기 때문에 벼의 좋은 생육(生育)을 기대할 수 있다는 것이었다. 또는 벼를 뽑았다가 다시 심기 때문에 새롭게 기력이 얻어진다는 것이었다. 물론 이앙법(移秧法)에 앞선 재평가(再評價), 이모작(二毛作)의 한계성(限界性), 반답법(反畓法)의 제약론(制約論), 광작(廣作)의 폐단에 처한 금지론(禁止論)이 있었다. 그당시 이지연(李止淵)에 의해서 벼의 수도수분생이(水稻水分生理), 토지(土地) 및 제초(除草)의 편리성(便利性)을 고려한 수도직파재배법(水稻直播栽培法)이 쓰여 졌는데 그것은 가장 안정한 농가소득을 확보하는 창조적인 작부체계(作付體系)였다.
To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.