• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.391-394
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• 2007

상위(HOST)시스템은 TCP/IP 환경이 적용 되어야 하며, 하위(P/C)시스템은 BSC프로토콜을 그대로 사용가능 해야 한다. G/W시스템은 이 두가지 NETWORK환경을 모두 지원 해야 한다. LAN카드는 TCP/IP프로토콜을 지원할 것이며 BSC카드는 모뎀을 통해서 BSC 프로토콜을 지원할 것이다. 시스템은 산업용 PC보다 성능이 뛰어난 Unix시스템을 사용할것이다. G/W시스템의 역할은 각기 형태가 다른 전문을 재편성 하는 기능을 추가한다. 상위(HOST)시스템으로 부터 받는 지시 데이터의 SIZE를 하위(P/C)시스템에서 적용 가능한 수준으로 재조정 되어야 한다. 반대로 하위(P/C)시스템에서 송신되는 전문 형태를 상위(HOST)시스템에 맞게 재조정 되어야 한다.

• Journal of Internet Computing and Services
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• v.16 no.6
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• pp.89-95
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• 2015

Traditional frequent pattern mining discovers valid patterns with no smaller frequency than a user-defined minimum threshold from databases. In this framework, an enormous number of patterns may be extracted by a too low threshold, which makes result analysis difficult, and a too high one may generate no valid pattern. Setting an appropriate threshold is not an easy task since it requires the prior knowledge for its domain. Therefore, a pattern mining approach that is not based on the domain knowledge became needed due to inability of the framework to predict and control mining results precisely according to the given threshold. Top-k frequent pattern mining was proposed to solve the problem, and it mines top-k important patterns without any threshold setting. Through this method, users can find patterns from ones with the highest frequency to ones with the k-th highest frequency regardless of databases. In this paper, we provide knowledge both on frequent and top-k pattern mining. Although top-k frequent pattern mining extracts top-k significant patterns without the setting, it cannot consider both item quantities in transactions and relative importance of items in databases, and this is why the method cannot meet requirements of many real-world applications. That is, patterns with low frequency can be meaningful, and vice versa, in the applications. High utility pattern mining was proposed to reflect the characteristics of non-binary databases and requires a minimum threshold. Recently, top-k high utility pattern mining has been developed, through which users can mine the desired number of high utility patterns without the prior knowledge. In this paper, we analyze two algorithms related to top-k high utility pattern mining in detail. We also conduct various experiments for the algorithms on real datasets and study improvement point and development direction of top-k high utility pattern mining through performance analysis with respect to the experimental results.

• Korean journal of applied entomology
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• v.59 no.4
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• pp.383-391
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• 2020

The vertical distribution and dispersion of the two-spotted spider mite, Tetranychus urticae and its predator, Phytoseiulus persimilis, were investigated within and between green pepper plants. We also tested the effect of an artificial bridge with threads on dispersal of P. persimilis between the plants. The extent of spread of T. urticae depended on its infested density and location. When 10 adults of T. urticae were inoculated on upper leaf, they stayed on the upper leaf until 5 days after inoculation. However, when 100 adults were inoculated on an upper leaf, they dispersed to the lower leaf within a day. In condition that 10 adults of T. urticae were inoculated on the lower leaf, they started to move toward upward within a day. In the absence of T. urticae, P. persimilis tended to move to the leaves where T. urticae was present when both T. urticae and P. persimilis were inoculated together within a plant. An artificial bridge with threads between two plants was helpful to disperse P. persimilis to neighboring plants. Therefore, it would be expected that the dispersal of P. persimilis can be promoted by supplying the artificial bridges among plants and by narrowing the distances between plants.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.37-44
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• 2020

AI technology has developed in the form of decision support technology in law, patent, finance and national defense and is applied to disease diagnosis and legal judgment. To search real-time information with Deep Learning, Big data Analysis and Deep Learning Algorithm are required. In this paper, we try to predict the entrance rate to high-ranking universities using a Deep Learning model, RNN(Recurrent Neural Network). First, we analyzed the current status of private academies in administrative districts and the number of students by age in administrative districts, and established a socially accepted hypothesis that students residing in areas with a high educational fever have a high rate of enrollment in high-ranking universities. This is to verify based on the data analyzed using the predicted hypothesis and the government's public data. The predictive model uses data from 2015 to 2017 to learn to predict the top enrollment rate, and the trained model predicts the top enrollment rate in 2018. A prediction experiment was performed using RNN, a Deep Learning model, for the high-ranking enrollment rate in the special education zone. In this paper, we define the correlation between the high-ranking enrollment rate by analyzing the household income and the participation rate of private education about the current status of private institutes in regions with high education fever and the effect on the number of students by age.

• Science of Emotion and Sensibility
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• v.20 no.3
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• pp.39-48
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• 2017

In order to verify the effectiveness of marketing in the basketball stadium, this study measured and analyzed the gaze frequency and interest when the pupil was expanded by using the eye-tracking technology among various neuro marketing techniques of marketing. To analyze the section where the pupil size get expanded, interval of pupil size was higher than 2.275% (2 sigma data) and higher than 0.135% high (3 sigma data). Overall the valid data was analyzed by inflection points according to gaze frequency. We also analyzed the correlation between overall valid data and the ranges where the pupil size was significantly increased. The result showed that the correlation between overall valid data and pupil size 2 sigma data showed the highest correlation with 0.805. The pupil size 2 sigma data and pupil size 3 sigma data showed a correlation with 0.781, overall the valid data and pupil size 2 sigma data showed a correlation with 0.683. Therefore, it is concluded that, the section where the pupil size was expanded and the section at which gaze frequency is higher in the eye-tracking data were similar. However, the correlation between data of pupil size is determined to be significantly expanded and overall the valid data is decreased.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.49 no.6
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• pp.18-24
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• 2012

This paper reports the test results of a 50MHz/s 10 bits DAC developed with $0.18{\mu}m$ CMOS process for the wireless sensor network application. The 10bits DAC, not likely a typical segmented type, has been designed as a current driving type with double step thermometer decoding architecture in which 10bits are divided into 6bits of MSB and 4bits of LSB. MSB 6bits are converted into 3 bits row thermal codes and 3 bits column thermal codes to control high current cells, and LSB 4 bits are also converted into thermal codes to control the lower current cells. The high and the lower current cells use the same cell size while a bias circuit has been designed to make the amount of lower unit current become 1/16 of high unit current. All thermal codes are synchronized with output latches to prevent glitches on the output signals. The test results show that the DAC consumes 4.3mA DC current with 3.3V DC supply for 2.2Vpp output at 50MHz clock. The linearity characteristics of DAC are the maximum SFDR of 62.02dB, maximum DNL of 0.37 LSB, and maximum INL of 0.67 LSB.

• ETRI Journal
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• v.10 no.3
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• pp.170-178
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• 1988

SS(Signalling System) No.7 신호 방식은 통신망 내의 각 노드들 간에 공통적으로 별도의 채널을 이용하여 회선관련 신호 정보 및 비회선 관련 신호 정보를 교환하는 신호방식이다. SS No.7 신호 방식의 각 계위 프로토콜 중에서 비회선 관련 신호 정보를 교환하기 위하여 상위 프로토콜로 TC(Transaction Capabilities)와 TC-User들을 CCITT에서 권고하고 있다. 본 고에서는 국내에 도입할 SS No.7 신호방식의 하위 프로토콜인 SCCP (Signalling Connection Control Part)와 MTP(Message Transfer Part) 프로토콜의 특성에 따른 TC 및 TC-User 프로토콜의 설계시에 고려되어야 할 사항들을 살펴본다.

• Electronics and Telecommunications Trends
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• v.12 no.5 s.47
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• pp.95-106
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• 1997

집적회로 설계에서 소비 전력은 집적도가 증가함에 따라서 중요한 설계 사양으로 전력 소비를 낮추기 위한 저전력 설계 기술에 대한 연구가 많이 진행되고 있다. 저전력 설계 기술은 소비 전력에 대한 정확한 예측 기술과 예측된 결과를 이용한 최적화 기술로 나뉘어 진다. 이들 기술은 논리 수준에서 많은 연구가 진행되었으며 현재, 효과적인 예측과 최적화가 가능한 행위 및 아키텍처 수준의 상위 수준에서 저전력 설계에 대한 연구가 진행되고 있다. 저전력 설계를 위한 최적화 기술, CAD 환경, 그리고 툴에 대하여 살펴보고 상위수준합성 시스템인 HYPER에 대하여 간략하게 소개한다

• Annual Conference on Human and Language Technology
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• 1989.10a
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• pp.252-256
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• 1989

글의 이해의 핵심과정이란 글에 대한 응집성있는 의미표상의 형성과정이라고 간주하고, 참조적 응집성 처리, 상위주제적 인과성 응집성 처리, 상위주제적 대비적 응집성 처리, 글 전체 구조적 응집성 처리의 특성들을 우리말 덩이글을 사용한 실험 결과들을 근거로 논하고 이와 관련하여 한국어 이해의 일반특성에 대한 논의를 제시하였다.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.120-125
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• 2007

블로그와 관련된 초기의 연구들은 주로 블로그를 사용하는 사용자를 동질성을 지닌 그룹으로 보고 연구를 진행하였다. 하지만 최근 블로그 인구가 크게 증가하여, 더 이상 동질성을 지는 그룹으로 보기에는 한계가 있다. 본 논문에서는 블로그 사용자(이하 블로거)를 구분하는 특성 요인을 추출하여, 블로거 세분화 작업을 수행한다. 세분화된 블로거 그룹의 전자상거래 이용행태, 콘텐츠 유료 구매 등과의 연관성을 분석하여 다른 인터넷 유저들과의 상대적 가치에 대해서 평가해보고자 한다. 또한 분석된 블로거 그룹의 특성을 활용하여, 하위 블로거의 상위 블로거로의 전환요인이 무엇인지에 대해서 탐구해보고자 한다.