• Title/Summary/Keyword: Search Strategy

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A Development of Simulator for Analysis of Anti-Submarine Search Patterns Using HMS (HMS를 이용한 대잠탐색 패턴분석을 위한 시뮬레이터 개발)

  • Shin, Seoung-Chul;Park, Young-Man
    • Journal of the Korea Society for Simulation
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    • v.19 no.2
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    • pp.99-106
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    • 2010
  • In the anti-submarine warfare, a search using HMS is used as a basic strategy. The importance of HMS operation strategy is increasing, but it is hard to develop effective anti-submarine search strategy due to reciprocal actions among sea environments, search patterns, sonar operational tactics, anti-submarine search strategy, etc. In this research, a simulator was invented so as to analyze anti-submarine search patterns used when an HMS-carrying ship searches for submarine in various anti-submarine search environments. The simulator reflects various factors that influence anti-submarine search, and with consideration of search patterns of anti-submarine ships as well as evasive movement of submarines, it can simulate various anti-submarine search operations such as a collaborative anti-submarine operation by a single or multiple forces. Also, the simulator will contribute to developing and improving systematic and efficient HMS operational tactics in anti-submarine warfare.

Research on the Sharing Strategy of Electronic Book Resources in Universities in the Internet Era

  • Guiya Gao
    • Journal of Information Processing Systems
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    • v.19 no.5
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    • pp.590-601
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    • 2023
  • University books are an important information resource. University book resources can be shared not only in the traditional paper form, but also electronic form under the background of the Internet. In order to better manage the sharing of electronic book resources in universities, this study put forward three resource sharing strategies: centralized sharing strategy, distributed sharing strategy, and centralized-distributed sharing strategy by analyzing the combined development of books and the Internet as well as the significance and development of book resource sharing. The centralized sharing strategy, however simple, was difficult to handle large traffic; while the resource nodes were independent and self-consistent, the distributed sharing strategy was not easy to find and had a high repetition rate. Combining the advantages of both strategies, the centralized-distributed sharing strategy was more suitable for the heterogeneous form of university book sharing. Finally, a teaching resources sharing platform for university libraries was designed based on the strategy of centralized and distributed sharing, and three interfaces including platform login, resource search, and resource release were displayed. The results of the simulated comparison experiment showed that centralized and distributed sharing strategies had limitations in resource searching and had low efficiencies; the efficiency of the centralized strategy reduced with an increase in search subjects; however, the centralized-distributed sharing strategy was able to search more resources efficiently and main stability.

A Critical Review of Online Search Strategy Models (온라인 탐색전략에 관한 비판적 고찰)

  • 유재옥
    • Journal of the Korean Society for information Management
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    • v.12 no.1
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    • pp.143-161
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    • 1995
  • This paper defines online search strategy as a global approach to the resolution of online searching. Five search strategy models including Brief Search. Building Blocks Strategies. Successive Facet Strategies, Successive Fractions Approach, and Citation Pearl Growing, are critically reviewed. Applicability and adaptability of each strategy are examined in the real concrete online searching environment.

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The Strategy and the Tactics for Online Searching (온라인 검색(檢索)에 있어서 검색전략(檢索戰略)과 전술(戰術))

  • Lee, Hyyj-Je
    • Journal of Information Management
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    • v.26 no.1
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    • pp.80-98
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    • 1995
  • Search strategies is a means to make an efficient search. Among several studies of search strategy, Bates' $\ulcorner$Search Tactics$\lrcorner$ has been often cited and introduced, but their studies have been superficial. In this paper, the contents of Bates' $\ulcorner$Search Tactics$\lrcorner$ are examined in detail, and we try to represent the actual online search process based upon Bates' $\ulcorner$Search Tactics$\lrcorner$. The following three kinds of survey are made in order to clarify which and how tactics are used: (1) Interview with 7 searchers who belong to different types of organizations, and use different kinds of databases (2) Analysis of some online search records. (3) Analysis of written applications for a newspaper database during one year. In conclusion, Bates' tactics falls into categories and new several tactics which often used are added. The following five factors affect online search activities, search strategy, and search tactics. (1) the difficulty of search requests (2) the kinds of databases (3) the charging policy for each online search (4) the presence of the user during the search (5) the searcher' online experience In the limited condition, typical tactics are suggested, but in order to generalize the pattern of using tactics, further investigation is necessary.

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A Study on the Relationship between Internet Search Trends and Company's Stock Price and Trading Volume (인터넷 검색트렌드와 기업의 주가 및 거래량과의 관계에 대한 연구)

  • Koo, Pyunghoi;Kim, Minsoo
    • The Journal of Society for e-Business Studies
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    • v.20 no.2
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    • pp.1-14
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    • 2015
  • In this paper, we investigate the relationship between Internet search trends and stock market. Under the assumption that investors may use Internet search engine to obtain information for companies of their interests before taking actual investment actions, the relationship between the changes on Internet search volume and the fluctuation of trading volume as well as stock price of a company is analyzed with actual market data. A search trend investment strategy that reflects the changes on Internet search volume is applied to large enterprises' group and to small and medium enterprises' (SMEs) group, and the correlation between profit rate and trading volume is analyzed for each company group. Our search trend investment strategy has outperformed average stock market returns in both KOSPI and KOSDAQ markets during the seven-year study period (2007~2013). It is also shown that search trend investment strategy is more effective to SMEs than to large enterprises. The relationship between changes on Internet search volume and stock trading volume is stronger at SMEs than at large enterprises.

A Study on a New Function Optimization Method Using Probabilistic Tabu Search Strategy (확률적 타부 탐색 전략을 이용한 새로운 함수 최적화 방법에 관한 연구)

  • Kim, Hyung-Su;Hwang, Gi-Hyun;Park, June-Ho
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.11
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    • pp.532-540
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    • 2001
  • In this paper, we propose a probabilistic tabu search strategy for function optimization. It is composed of two procedures, one is Basic search procedure that plays a role in local search, and the other is Restarting procedure that enables to diversify search region. In basic search procedure, we use Belief space and Near region to create neighbors. Belief space is made of high-rank neighbors to effectively restrict searching space, so it can improve searching time and local or global searching capability. When a solution is converged in a local area, Restarting procedure works to search other regions. In this time, we use Probabilistic Tabu Strategy(PTS) to adjust parameters such as a reducing rate, initial searching region etc., which makes enhance the performance of searching ability in various problems. In order to show the usefulness of the proposed method, the PTS is applied to the minimization problems such as De Jong functions, Ackley function, and Griewank functions etc., the results are compared with those of GA or EP.

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The Influence of SMEs' Innovation Activitiesaccording to Types of Strategy ontheir Perception to the Opening of Economies: The Moderating Effects of External Search and Market Entry Strategy (중소기업의 전략 유형에 따른 혁신활동이 대외개방 인식에 미치는 영향: 외부 지식 탐색 및 시장진입전략의 조절 효과를 중심으로)

  • Lee, Jong-Seon;Park, Ji-Hoon
    • Journal of Technology Innovation
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    • v.21 no.1
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    • pp.199-228
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    • 2013
  • Globalization has been accelerated in today's business environment. In this situation, the opening of economies can be either an opportunity or a treat for small and medium sized enterprises (SMEs) who have limited resources. Especially, managerial perception to the opening of economies carries on significant meaning because managerial perception determines future responses and strategies. Therefore, this study examined which innovation activities are related with SMEs' positive perception to the opening of economies. The activities of innovation are classified by types of generic strategy. Also, this study scrutinized the moderating effects of external search strategy and market entry strategy. In order to test hypotheses, this study analyzed data on Korean manufacturing firms collected in the Korean Innovation Survey (KIS). As a result, SMEs conducting innovation for differentiation strategy perceived the opening of economies positively. Search breadth and search depth moderated this relationship negatively and the first entry strategy moderated this relationship positively.

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Asynchronous Multilevel Search Strategy for Fast Acquisition of AltBOC Signals

  • Kim, Binhee;Kong, Seung-Hyun
    • Journal of Positioning, Navigation, and Timing
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    • v.4 no.4
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    • pp.161-171
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    • 2015
  • Alternative binary offset carrier (AltBOC) signals can be approximated by four synchronized direct sequence spread spectrum (DSSS) signals, each pair of which is a quadrature phase shift keyed (QPSK) signal at a different frequency. Therefore, depending on the strength of an incoming AltBOC signal, an acquisition technique can reduce the mean acquisition time (MAT) by searching the four DSSS signals asynchronously; the search for each of the four DSSS signals can start at one of the evenly separated hypotheses on the two-dimensional hypothesis space. And detection sensitivity can be improved by multiple levels when different numbers of search results for the same hypothesis are combined. In this paper, we propose a fast AltBOC acquisition technique that has an asynchronous search strategy and efficiently utilizes the output of the four search results to increase the sensitivity level when sensitivity improvement is needed. We provide a complete theoretical analysis and demonstrate with numerous Monte Carlo simulations that the MAT of the proposed technique is much smaller than conventional AltBOC acquisition techniques.

A Study on Big Data Based Investment Strategy Using Internet Search Trends (인터넷 검색추세를 활용한 빅데이터 기반의 주식투자전략에 대한 연구)

  • Kim, Minsoo;Koo, Pyunghoi
    • Journal of the Korean Operations Research and Management Science Society
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    • v.38 no.4
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    • pp.53-63
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    • 2013
  • Together with soaring interest on Big Data, now there are vigorous reports that unearth various social values lying underneath those data from a number of application areas. Among those reports many are using such data as Internet search histories from Google site, social relationships from Facebook, and transactional or locational traces collected from various ubiquitous devices. Many of those researches, however, are conducted based on the data sets that are accumulated over the North American and European areas, which means that direct interpretation and application of social values exhibited by those researches to the other areas like Korea can be a disturbing task. This research has started from a validation study against Korean environment of the former paper which says an investment strategy that exploits up and down of Google search volume on a carefully selected set of terms shows high market performance. A huge difference between North American and Korean environment can be eye witnessed via the distinction in profit rates that are exhibited by the corresponding set of search terms. Two sets of search terms actually presented low correlation in their profit rates over two financial markets. Even in an experiment which compares the profit rates with two different investment periods with the same set of search terms showed no such meaningful result that outperforms the market average. With all these results, we cautiously conclude that establishing an investment strategy that exploits Internet search volume over a specified word set needs more conscious approach.

The Impact of External Search Strategy on Radical Innovation Performance (외부지식 탐색 전략이 급진적 혁신성과에 미치는 영향)

  • Ahn, He Soung;Kim, Juhee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.13 no.2
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    • pp.101-113
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    • 2018
  • This paper investigates the relationship between external search strategy and radical innovation performance. As the discrepancies that can exist among the varying sources of external knowledge is overlooked, the existing literature on the effect of external search strategy on radical innovation performance remains inconclusive. This study aims to reconcile such mixed findings by recognizing that external knowledge can be distinctive depending on the environment in which its source is embedded in; specifically, this paper examines the relationship between external search strategy and radical innovation performance by distinguishing external search from 'market' and 'non-market' relationships. We test our hypotheses with a sample of 431 firms from the manufacturing industries from the 2010 STEPI survey. Our empirical findings suggest that external search strategy from market relationships positively influences radical innovation performance, while the influence of external search strategy from non-market relationships is found to be not significant. Our research suggests that in order to improve radical innovation performance, firms must be able to maintain a cooperative relationship with other actors connected with market relationships and to effectively exploit the market knowledge obtained from these actors.