• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.55-57
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• 2001

캐쉬 대체 알고리즘은 캐쉬 적재공간의 한계성을 극복하는 방법 중에 하나이다. 기존의 많은 대체 알고리즘의 문제점인 대체 기준치의 부정확성 및 불충분성을 해결하기 위해 인기도를 제안하였다. 인기도는 인기 검색어의 순위를 정규화 한 값으로, 대량의 자료를 바탕으로 얻어진 통계치이다. 인기도 산출의 기반이 되는 인기 검색어는 시간적 흐름에 민감하고, 사회 전반적인 경향을 반영하며, 많은 중복을 가지고 있다. 인기도는 각 검색 엔진별로 단일 인기도와 누적 인기도를 산출한 후에, 이를 모두 병합하여 산출된다. 이것을 병합 인기도라고 하며, 이는 임의의 검색어에 0에서 1사이의 소수값으로 부여된다. 인기도는 메타 검색 엔진에서 캐쉬 대체를 수행할 때 적용될 수 있으며, 다수의 자료 입력 경향에 관한 정보가 존재하는 문제 영역에 사용될 수 있다.

• Information Systems Review
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• v.17 no.3
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• pp.183-202
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• 2015

In recent years, various Social Network Service (SNS) is emerging as a new means of communication were enjoying a lot of popularity among consumers. Accordingly, an online word-of-mouth marketing through the SNS is prevalent. At this moment, the majority of companies selects the SNS used as resources of online word-of-mouth marketing on the assumption that the more a SNS is popular (followers or visitors based), the more it has an influence. In addition, the existing studies about the popularity or influence on the SNS were not distinguish them separately. The former researchers used popularity mixed with Influence. Therefore, this study, we have conducted a survey with people in their twentieswho use SNS most to do an empirical analysis of the relationship between popularity and Influence on the SNS. According to the results of this study, it has a weak correlation between popularity and Influence. So, it is necessary to distinguish between popularity and influence.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.284-288
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• 2009

이 연구에서는 1인기업을 운영하고 있는 1인기업가의 창업동기를 이해하기 위해 Naffziger 등이 제안한 창업동기모델을 적용한 사례연구를 실시하고 그 결과를 제시하였다. 연구 결과, 1인기업 창업에 영향을 미치는 동기로는 개인적 환경, 개인적 특질 등이 있었으며, 창업 당시의 사업 환경은 조사 대상 1인기업의 창업에 영향을 미치지 않은 것으로 나타났다. 개인적 환경 중에서는 학력, 경험 및 네트워크가 1인기업 창업에 큰 영향을 미치는 것으로 판단된다. 사례연구 결과 Naffziger의 창업동기모델에서 별도의 창업동기라고 보고 있는 사업 아이디어와 개인적 목표는 개인적 환경, 개인적 특질 등 기타 창업동기에 영향을 받는 요인으로 보아 이를 수정한 1인기업 창업동기모델을 제안한다.

• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.485-494
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• 2008

Huge amounts of various web items such as keywords, images, and web pages are being made widely available on the Web. The popularities of such web items continuously change over time, and mining temporal patterns in popularities of web items is an important problem that is useful for several web applications. For example, the temporal patterns in popularities of search keywords help web search enterprises predict future popular keywords, enabling them to make price decisions when marketing search keywords to advertisers. However, presence of millions of web items makes it difficult to scale up previous techniques for this problem. This paper proposes an efficient method for mining temporal patterns in popularities of web items. We treat the popularities of web items as time-series, and propose gapmeasure to quantify the similarity between the popularities of two web items. To reduce the computation overhead for this measure, an efficient method using the Fast Fourier Transform (FFT) is presented. We assume that the popularities of web items are not necessarily following any probabilistic distribution or periodic. For finding clusters of web items with similar popularity trends, we propose to use a density-based clustering algorithm based on the gap measure. Our experiments using the popularity trends of search keywords obtained from the Google Trends web site illustrate the scalability and usefulness of the proposed approach in real-world applications.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.9
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• pp.678-685
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• 2019

Due to the changes in future war environment and the technological development of the aviation weapon system, it is required to carry out on the analysis of the Manned-Unmanned aerial vehicles Teaming(MUM-T). Conventional manned-unmanned aerial vehicles operate according to the air strategy missions and vehicles' performance. In this paper, we analyze conventional aerial vehicle's mission to derive various kinds of missions of MUM-T after analyzing the unmanned aircraft systems roadmap issued by US DoD and the air strategy of US Air Force. Next, we identify the basic operations of the vehicles to carry out the missions, select the MUM-T based Suppression of Enemy Air Defense missions(SEAD), and analyze the procedure for performing the missions step by step. In this paper, we propose a procedure of the mission in the context of physical space and timeline for the realization of the concept of MUM-T.

• Journal of KIISE:Databases
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• v.29 no.2
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• pp.148-157
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• 2002

Caching in meta-search engines can improve the response time of users' request. We describe the cache scheme in our meta-search engine in terms of its architecture and operational flow. In particular, we propose a popularity-driven cache algorithm that utilizes popularities of queries to determine cached data to be purged. The popularity is a value that represents the normalized occurrence frequency of user queries. This paper presents how to collect popular queries and how to calculate query popularities. An empirical performance evaluation of the popularity-driven caching with the traditional schemes (i.e., least recently used (LRU) and least frequently used (LFU)) has been carried out on a collection of real data. In almost all cases, the proposed replacement policy outperforms LRU and LFU.

• Vending industry
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• v.10 no.2
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• pp.80-83
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• 2010

아이디어도 좋다. 시장성도 좋아 제품을 내놓자마자 인기를 끈다. 소량 다품종 영역의 특수자판기가 이런 흐름을 타기는 쉬운 일이 아니다. 보통 10개의 제품이 있다하면 7~8할은 실패하기 마련인 게 특수자판기 세계이다. 그런데 힘들게 인기상품의 범주에 들었음에도 불구하고 대외 악재 때문에 실패를 봐야했던 아이템이 있다. 한때 어린이들을 대상으로 큰 인기를 끌었던 달고나 자판기가 바로 그것. '사탕과자', '뽑기'를 만들어 먹을 수 있는 제품 컨셉은 시장이 어필을 했으나 기본적으로 자판기가 가장 중요시해야할 사회적 책임을 등한시 한 탓에 시장에 철퇴를 맞는 아픔을 맛봐야 했다. 비운의 아이템으로 끝난 달고나 자판기는 자판기 마케팅에 있어 어떤 시사점을 남겼는지를 살펴봤다.

• The Transactions of the Korea Information Processing Society
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• v.13 no.8
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• pp.374-381
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• 2024

Documentation repositories on GitHub are used to share information that is helpful in performing various tasks. Popular documentation repositories have an advantage in attracting contributors who can help manage and extend documentation repository. Therefore, it is important to understand the characteristic of documentation repositories helpful to obtain popularity for developing strategies attracting attention of users. This paper presents a study on GitHub documentation repositories. To conduct the study, we collected 566 documentation repositories from GitHub and manually categorized their topic into 30 topics. Based on the stargazer score of the collected documentation repositories, we divided the collected documentation repositories into popular and unpopular documentation repository groups and investigated the topics in the popular documentation group. Then we statistically examined the differences in README characteristics of the popular and unpopular documentation repository groups. As a result, we found that the studied documentation repositories have 23 popular topics. We also found that the popular and unpopular documentation repository groups have differences in 5 README characteristics. The result of our study indicates that what documentation repository become popular in GitHub.

• 베이커리
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• no.11 s.376
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• pp.110-111
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• 1999

• 베이커리
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• no.5 s.310
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• pp.114-115
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• 1994