• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2012년도 추계학술발표대회
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• pp.1045-1048
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• 2012

스마트 뱅킹을 사용하는 인구가 늘어나고 있으며 보안상의 위협이 대두되고 있다. 스마트 뱅킹의 경우 작은 보안상의 위험이 큰 금전적인 피해를 줄 수 있기 때문에 강력한 보안이 요구된다. 본 논문에서는 2-Factor 인증과 클라우드에 저장된 인증서를 통해서 스마트 뱅킹 서비스를 안전하게 사용하는 방법을 제안하였다. 인증서 중복저장에 의한 문제점을 해결하고자 인증서를 클라우드 서비스를 통해 제공하고, 저장된 인증서의 제3자에 의한 접근을 막기 위해 2-Factor 인증 기법으로 사용자를 인증한다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.371-373
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• 2023

factor 들이 많은 데이터의 군집화는 어려움을 요한다. K-means 클러스터링을 사용하여 군집화를 할 때, 각 데이터들이 가진 factor 의 개수가 상이한 경우 비슷한 성향을 가진 데이터임에도 불구하고 클러스터링이 적합하게 되지 않는 현상이 발생한다. 이러한 문제점을 해결하기 위해 최적의 군집화 개수를 결정하는 실루엣 기반 방법을 제안하고 제안기법의 성능을 평가한다.

• 대한간호학회지
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• 제14권2호
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• pp.84-92
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• 1984

This article examined relationships between selected variables, such as demographic background, care, treatment variables, environmental characteristics, and patient's daily behavior and mood change. Relationship were determined between independent variabltherapeutic-rapeutie approach, demographic data, environmental management approach-,and dependent variable-patient's daily behavioral and mood change. 35 patients selected within some criteria in a psychiatric ward, were obserbed during 5 weeks by use of Wyatt's Behavior & Mood Rating Scale ac-cording to the object of the study. At the same time, the frequence of the care and treatment were collected. Criteria for sample selection and independent variables as an influential factor to the patient behavioral change, based on a literature revienw and clinical experiences. Pearson's correlation and multiple regression analysis were used to determine the influfntial factors to the patient behavioral change. Systematic reading (r=.8324), Psychiatrist's individual interview (r=.5764), tranquilizer (r=.3441) and hospitalization processing date (r=.4143) were related with patient's behavioral change. That is these 4 variables can be said to influence to the patient's behavior and mood. A stepwise multiple regression analysis of the effect of the independent varibles of systematic reading, psychintrists individual interview, tranquilizer and hospitalization processing date on the dependent variable, patient's behavioral change was carried out. Systematic reading with on R²of. 69 revealed to be the main influential factor to the patient's behavior and mood change, as the next factor psychiatrist individual interview. A total inclusion of these factors revealed a 73% prediction for the patient's behavior and mood change. But the most influential factor was the interaction of the systematic reading and psychiatrist's individual interview.

• 한국전자통신학회논문지
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• 제16권1호
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• pp.19-24
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• 2021

본 논문에서는 아파치 스파크를 이용하여 머신러닝을 분산 처리할 때의 성능 요인을 분석하고 효율적인 분산 처리를 위한 실행 환경을 실험을 통해 제시한다. 먼저, 분산 클러스터 환경에서 머신러닝을 수행할 때 고려해야 하는 성능 요인으로 클러스터의 성능, 데이터의 규모, 스파크 엔진의 속성으로 구분하여 분석한다. 그리고 하둡 클러스터에서 동작하는 스파크 MLlib을 이용하여 회귀분석을 수행할 때 노드의 구성과 스파크 Executor의 설정을 변화하면서 성능을 측정한다. 실험 결과 최적의 Executor 개수는 데이터의 블록의 수에 영향을 받으나 클러스터 규모에 따라 최대값, 최소값은 각각 코어의 수, 워커 노드의 수로 제한됨을 실증하였다.

• 전자공학회논문지B
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• 제28B권9호
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• pp.703-711
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• 1991

In this paper, an efficient storage reclamation algorithm for RISC parallel processing in the object orented programming environments is presented. The memory management for the dynamic memory allocation and the frequent memory access in object oriented programming is the main factor that decreases RISC parallel processing performance. The proposed algorithm can be efficiently allocated the memory space of RISCy computer which is required the frequent memory access, so it can be increased RISC parallel processing performance. The proposed algorithm is verified the efficiency by implementing C language on SUN SPARC(4.3 BSD UNIX).

• The Journal of the Acoustical Society of Korea
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• 제20권1E호
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• pp.7-13
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• 2001

In this paper we propose a new subspace tracking algorithm based on the PASTd (Projection Approximation Subspace Tracking with deflation). The algorithm is obtained via introducing the variable forgetting factor which adapts itself to the time-varying subspace environments. The tracking capability of the proposed algorithm is demonstrated by computer simulations in an abruptly changing DOA scenario. The estimation results of the variable forgetting factor PASTd(VFF-PASTd) outperform those of the PASTd in the nonstationary case as well as in the stationary case.

• 한국산업융합학회 논문집
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• 제3권3호
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• pp.229-236
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• 2000

This paper proposes on the Hanguel character CAI system using image processing. For this, firstly, the characters written by elementary school students or foreigners arc captured by CCD camera. Secondly, Recognition is accomplished by pre-processing, thinning and recognition processes. Thirdly, strokes are separated and beauty evaluation is done by matching feature value of the input image from the similarity measure function. In particular, this paper describe to define the similarity measuring function using extracted factor values after getting the beauty evaluation factor values of the consonant in the entire CAI system. Finally, the effectiveness of the proposed system is demonstrated by experiments.

• 한국항공우주학회지
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• 제34권9호
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• pp.97-103
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• 2006

본 논문에서는 디지털 폐루프 신호처리를 이용한 광섬유자이로를 설계하고 성능 시험한 결과를 제시하였다. 회전 입력에 대한 자이로의 피드백 제어를 위해 디지털 세로다인 변조기법이 적용되었고, 환산계수의 안정화를 위해 변조진폭 및 광전력 제어회로를 설계하였다. 프로토타입 광섬유자이로를 시험한 결과, 바이어스 안정도 0.34 deg/hr, 환산계수 비선형도약 100ppm , 회전감지 영역 ${\pm}500$ deg/sec의 성능을 얻었다.

• 한국안전학회지
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• 제25권6호
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• pp.161-168
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• 2010

A series of fatigue tests have been performed on the non-load carrying fillet welded joints in order to quantitatively assess the fatigue characteristics due to the grindings and TIG(Tungsten Inert Gas) welding treatments. From the results of fatigue tests, it has been shown that the fatigue strengths at $2{\times}106$ load cycles were improved in the case of the grinding sand TIG welding treatments, and we could know that it is satisfying fatigue strength prescribed in fatigue design standard in general. Besides, from the results of fracture mechanics approaches, the geometric shape correction factors were the most dominant factors in the initial fatigue crack growth, but as the fatigue crack develops, the finite plate correction factor were became the most dominant factor, and the fatigue life on non-load carrying fillet welded joints could be relatively exactly estimated by using the relations between fatigue crack growth rate and stress intensity factor obtained from finite element analysis and existing proposed formulae.

• Journal of Information Processing Systems
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• 제17권1호
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• pp.163-177
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• 2021

Many methods of discovering social networking communities or clustering of features are based on the network structure or the content network. This paper proposes a community discovery method based on topic models using a time factor and an unsupervised clustering method. Online community discovery enables organizations and businesses to thoroughly understand the trend in users' interests in their products and services. In addition, an insight into customer experience on social networks is a tremendous competitive advantage in this era of ecommerce and Internet development. The objective of this work is to find clusters (communities) such that each cluster's nodes contain topics and individuals having similarities in the attribute space. In terms of social media analytics, the method seeks communities whose members have similar features. The method is experimented with and evaluated using a Vietnamese corpus of comments and messages collected on social networks and ecommerce sites in various sectors from 2016 to 2019. The experimental results demonstrate the effectiveness of the proposed method over other methods.