• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.34-47
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• 2018

As interest in advanced countries regarding the convergence technology development increases, a methodology for identifying the core convergence technology that has a large spill-over effect on the technology and industry is required for the nation's competitiveness enhancement in the convergence technology field. Based on patent citation network analysis using 1,124 USPTO patents in the ICT convergence technology field of the smart factory, this study examined the proposed heterogeneous technology convergence index as a tool for measuring the convergence characteristics of the spillovers compared to other indexes (i.e. other sector ratio index and homogeneous technology convergence index). The proposed heterogeneous technology convergence index was used to investigate core technology sectors among ICT technology sectors of smart factory identified by government ministries. Results found 6 core ICT convergence technology sectors including the manufacturing execution analysis application sector. Also, this study conducted blockmodeling analysis using the IPC codes of patents in the manufacturing execution analysis application sector, and identified that the blocks representing the electronic communication and electric digital data processing technology sectors (Block 3 & 4) are related technology sectors which can be converged with core technology. Based on the findings, the implications for the convergence technology development planning of the smart factory field are discussed.

• Korean Journal of Legislative Studies
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• v.26 no.2
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• pp.35-71
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• 2020

The purpose of this study is to verify the effect of electoral competition on voters deciding on strategic split-ticket voting under the mixed-member electoral system. As result, the more competitive the constituencies are, the more voters choose to vote for the major parties. The results of logistic regression analysis including interaction terms showed that the more competitive the constituencies are, the more voters choose for candidates from the major parties. Also, the finding shows that major party supporters are less affected by electoral competition than minor party supporters in choosing a candidate in the single-seat districts. In the case of minor party supporters, the more competitive the constituencies were, the more likely they were to choose the major party candidate instead of the minor party candidate. Based on these results, it can be inferred that voters are affected by the presence or behavior of other voters in local constituencies under the first-past-the-post rule. Because of the psychology of not wanting their votes to be useless, voters cast their ballots more strategically as the competition in constituencies intensifies, and as the competition in constituencies slackens, such tendencies weaken, and this trait is particularly evident among minor party supporters.

• Journal of KIISE:Databases
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• v.33 no.5
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• pp.495-512
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• 2006

Recently, researches on a future position prediction of moving objects have been progressed as the importance of the future position retrieval increases. New index structures are required to efficiently retrieve the consecutive positions of moving objects. Existing index structures significantly degrade the search performance of the moving objects because the search operation makes the unnecessary extension of the node in the index structure. To solve this problem, we propose a space partition based index structure considering the mobility of moving objects. To deal with the overflow of a node, our index structure first merges it and the sibling node. If it is impossible to merge them, our method splits the overflow node in which moving properties of objects are considered. Our index structure is always partitioned into overlap free subregions when a node is split. Our split strategy chooses the split position by considering the parameters such as velocities, the escape time of the objects, and the update time of a node. In the internal node, the split position Is determined from preventing the cascading split of the child node. We perform various experiments to show that our index structure outperforms the existing index structures in terms of retrieval performance. Our experimental results show that our proposed index structure achieves about $17%{\sim}264%$ performance gains on current position retrieval and about $107%{\sim}19l%$ on future position retrieval over the existing methods.

• The Journal of Information Technology
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• v.3 no.1
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• pp.89-97
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• 2000

Electronic commerce on the network requires a new payment system, electronic cash that carries digitalized information of cash. The new system, however, demands the security and privacy because electronic cash is different from real cash in that it can be easily duplicated, forged, or traced. Therefore, electronic cash system should be guaranteed security and privacy to be used as a new payment mechanism with assurance. First, this paper analyzes the existing electronic cash system involving electronic coins, divisible electronic bills, and electronic license. Then the paper proposes a new electronic cash system which claims to be more efficient in the amount of communication and computation. Finally, this study attempts to solve the problem of electronic license.

• Management & Information Systems Review
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• v.35 no.3
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• pp.195-212
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• 2016

Utilizing intra-day volume weighted average price (VWAP) based on 1 minute return data of stocks traded on the Korean Stock Exchange, this paper examines and analyzes abnormal returns in reaction to patent listing disclosures as well as the cumulative abnormal returns, traded volumes, the interaction of VWAP spreads, the reaction of volumes, the reaction of VWAP spreads and the realized returns obtained from trading using an event driven arbitrage strategy. The results of the aforementioned research topics are follows. First, our analysis suggests that on average, 0.92% positive cumulative returns arise 1 minute after the patent listing disclosure announcement with high statistical significance, thereby reconfirming that the Korean stock market is a semi-strong form of the efficient market. Employing 3 separate panel tests differentiated by the size factor, we find that the abnormal returns of small sized stocks were less than the returns of medium sized stocks, which goes to support recent research findings suggesting that the size premium is no longer existent in the Korean stock market. Secondly, we show that among the event driven type strategies, the most outstanding realized returns are from the market making strategies. Furthermore, placing market order trades only at the bid or ask price resulted in negative returns. This implies that strategies utilizing a combination of market orders and limit orders, order cancelations ratios and order flows can enhance realized returns.

• Journal of the Korean School Mathematics Society
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• v.21 no.4
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• pp.419-443
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• 2018

The purpose of this study was to analyze the problem solving strategies of ordinary students, gifted students, pre-service teachers, and in-service teachers with the 'chicken and pig problem,' which has multiple strategies to obtain the solution. For this study, 98 students in the 6th grade elementary schools, 96 gifted students in a gifted institution, 72 pre-service teachers, and 60 in-service teachers were selected. The researcher presented the "chicken and pig" problem and requested them the solution strategies as many as possible for 30 minutes in a free atmosphere. As a result of the study, the gifted students used relatively various and efficient strategies compared to the ordinary students, and there was a difference in the most used strategies among the groups. In addition, the percentage of respondents who suggested four or more strategies was 1% for the ordinary students, 54% for the gifted students, 42% for the pre-service teachers, and 43% for the in-service teachers. As suggestions, the researcher asserted that various kinds of high-quality mathematical problems and solving experiences should be provided to students and teachers and have students develop multi-strategy problems. As a follow-up study, the researcher suggested that multi-strategy mathematical problems should be applied to classroom teaching in a collaborative learning environment and reflected them in teacher training program.

• The Journal of Information Technology and Database
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• v.2 no.2
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• pp.25-34
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• 1995

In this paper, we present design philosophy and implementation issues of a functionality testing tool for object-oriented database systems. A testing tool has been developed to validate UniSQL/X functionalities with C++ interface. A testing tool is designed under consideration of scaleability, simplicity and extendibility. The schema is deliberately constructed to verify the object-oriented functionalities such as abstraction, inheritance and aggregation. Each test item has been derived under various black box techniques such as equivalent partitioning and boundary-value analysis. The testing tool consists of six phases, namely, database creation, database population, construction of testindex, compilation and link, execution and result reporting, and final cleanup. The prototype provides more than 140 test items at 90 programs.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.45-51
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• 2020

Recently, many games provide data related to the users' game play, and there have been a few studies that predict opponent move by combining machine learning methods. This study predicts opponent move using match data of a real-time strategy game named ClashRoyale and a multi-label classification based on machine learning. In the initial experiment, binary card properties, binary card coordinates, and normalized time information are input, and card type and card coordinates are predicted using random forest and multi-layer perceptron. Subsequently, experiments were conducted sequentially using the next three data preprocessing methods. First, some property information of the input data were transformed. Next, input data were converted to nested form considering the consecutive card input system. Finally, input data were predicted by dividing into the early and the latter according to the normalized time information. As a result, the best preprocessing step was shown about 2.6% improvement in card type and about 1.8% improvement in card coordinates when nested data divided into the early.

• The Korean Journal of Financial Studies
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• v.9 no.1
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• pp.163-187
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• 2003

본 연구는 옵션가격 및 거래량 자료를 이용하여 옵션시장의 가격발견 기능에 대해서 분석을 시도하였다. 이를 위해 먼저 옵션가격과 거래량 정보가 현물시장을 선행하는 현상에 대해서 분석해 보았다. 옵션가격은 실제 현물지수를 약 1시간 정도 선행하는 것으로 관찰되었다. 콜옵션 가격이 풋옵션에 비해서 상대적으로 옵션시장에서 높게 거래되는 경우 이는 현물주식시장에서의 주가상승을 예고하는 것으로 나타났다. 옵션 거래량 정보 역시 현물시장의 가격움직임을 예측하는데 유효한 것으로 관찰되었다. 콜옵션의 풋옵션 대비 상대적인 거래증가는 투자자의 낙관적인 장세전망을 반영해 일단 현물지수의 상승을 야기하는 것으로 나타났으나 이후 투자자의 풋옵션을 통한 헤지(hedge) 수요의 증가로 이어지는 것으로 조사되었다. 두 번째로 본 연구는 이러한 옵션시장의 가격발견 기능을 이용하여 매매전략을 수립하고 이를 통하여 투자이익을 극대화시킬 수 있는지에 대해서 살펴보았다. 콜옵션 가격(거래량)이 풋옵션 가격(거래량)에 비해 고평가(증가) 되었을 경우 이는 주가상승을 미리 예고하고 있는 신호로 받아들어져 주식을 매입하고 반대로 콜옵션 가격(거래량)이 풋옵션 가격(거래량)에 비해 저평가(감소) 되었다면 주가하락을 예측하기 때문에 주식을 매도함으로써 투자이익을 증대시킬 수 있을 것이다. 실증분석 결과는 우선 옵션 가격정보를 이용하여 현물시장에서 지수 바스켓 포트폴리오를 매매하려는 전략은 30분 내외의 단기 투자에는 유효하나 그 이상의 투자기간을 가지는 경우에는 예상과는 다른 결과를 초래하였다. 반면 옵션시장에서의 콜옵션과 풋옵션의 상대적인 거래량 정보는 현물주식시장의 움직임을 예측하는데 옵션 가격정보에 비해서 보다 효과적인 것으로 판단되었다. 조사한 모든 일중 및 1일(overnight) 투자수익률에서 옵션 거래량의 상대적 비율에 의거한 투자전략은 통계적으로 유의한 투자수익률의 차이를 가져왔다.

• Management & Information Systems Review
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• v.38 no.1
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• pp.1-21
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• 2019

This study focuses on (1) the relationship between the network intensity of top managers and the R&D investment of Korean firms, and (2) the moderating effects of the type (related-division vs. unrelated-division) and system (physical division vs. spin-offs) of corporate division on this relationship. The sample of this study was all type and/or system of corporate division implemented by Korean firms during 18-years (1999-2016) study periods. The results of multiple regression analyses as follow. First, as was expected in hypothesis 1 the network intensity of top managers has a strong positive linear relation with the R&D investment of Korean firms. Second, regarding the moderating effect of division type the results show that related-divisions significantly intensify the positive relationship of the network intensity of top managers with the R&D of Korean firms although unrelated-divisions did not. Third, in the analysis of moderating effect of corporate division system the results present the stronger positive moderating effect of spin-offs rather than physical divisions. The findings of the study implies that strong network intensity of top managers can be beneficial to long-term decision such as R&D investment of Korean firms. They accords to network theory that emphasize the importance of strong network effect among top managers based on their trust. The findings also implies that researchers and practitioners should consider organizational-level factors such as organizational structure, culture, corporate governance, etc as well as individual-level factors such as the characteristics and relationships of organizational members when making the decision for firm.