• Title/Summary/Keyword: HITS

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Optimal Bankruptcy with a Continuous Debt Repayment

  • Lim, Byung Hwa
    • Management Science and Financial Engineering
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    • v.22 no.1
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    • pp.13-20
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    • 2016
  • We investigate the optimal consumption and investment problem when a working debtor has an option to file for bankruptcy. By applying the duality approach, the closed-form solutions are obtained for the case of CRRA utility function. The optimal bankruptcy time is determined by the first hitting time when the financial wealth hits the wealth threshold derived from the optimal stopping time problem. Moreover, the numerical results show that the investment increases as the wealth approaches the threshold and the value gain from the bankruptcy option is vanished as wealth increases.

Safety Evaluation of Press Operation using Eye Movement (눈움직임을 이용한 프레스작업의 안전성 평가에 대한 연구)

  • 박경수;김유창
    • Journal of the Korean Society of Safety
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    • v.11 no.1
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    • pp.129-132
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    • 1996
  • This paper presents an experiment which examines eye movement characteristics of novice and experienced workers in the press operation. Significant difference between the novice and the experienced workers was observed in fixation time, eye movement patterns, and spatial distribution of fixations when the top die hits the bottom die. There were no significant difference between the novice and the experienced workers in eye movement time. The results could be used to set up a guide to train the novice workers and to determine how long the novice should be trained.

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Improved Link-based Retrival with Content Analysis (내용분석을 통한 향산된 링크기반 검색)

  • 이경희;김민수;김민구
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10a
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    • pp.151-153
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    • 2004
  • 정보검색이 발달함에 따라 인터넷 환경에서의 정보 검색은 하이퍼링크 정보를 분석하여 이용하는 추세에 있다. 최근에는 주어진 주제어나 질의어에 대해 가장 적합한 검색 방법을 결정하기 위해 하이퍼텍스트 기반 링크 구조를 분석하는 알고리즘이 늘어나고 있는 실정이다. Bharat〔2〕은 HITS 알고리즘의 문제점을 지적하고 이를 개선하기 위한 방법을 제안하였다. 본 논문에서는 Bharat이 제시한 확장 질의어를 만드는 방법에 대한 문제점 제기와 이 문제에 대한 개선 안을 제시하고자 한다.

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Velocity Estimation of a Compass Gait Biped Robot by Using Impact Condition and Initial Condition Reset (충돌 조건과 초기치 리셋을 이용한 컴퍼스 이족 로봇의 속도 추정)

  • Son, Young-Ik
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.11
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    • pp.2266-2268
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    • 2009
  • In this paper, a simple method of angle velocity estimation is presented for a passive dynamic biped robot. The estimation problem is not an easy task because its dynamic model is a hybrid system involved with an impact condition. Instead of designing a complex observer for hybrid systems we simply utilize the impact condition to reset the initial condition of the high-pass filter when the non-support leg hits the slope. The approach has been verified by simulation results.

그래프 기반 아웃라이어 검출 방법

  • Jeong, Seo;Kim, Sang-Wook
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.159-160
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    • 2010
  • 아웃라이어란 데이터 셋 내에서 다른 객체들과 상대적으로 이질적인 객체를 의미한다. 본 논문에서는 기존 그래프 기반 아웃라이어 검출 방법의 문제점을 분석한다. 이를 통해, HITS 를 기반으로 하는 새로운 그래프 기반 아웃라이어 검출 방법을 제안한다. 마지막으로, 다양한 실험을 통하여 제안하는 방법이 아웃라이어 검출에 적합함을 보인다.

Parameter Setting for an Outlier Detection Algorithm (아웃라이어 검출 방법을 위한 매개변수 설정)

  • Jeong, Seo;Kim, Sang-Wook;Bae, Duck-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.1281-1282
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    • 2011
  • 아웃라이어란 데이터 셋에서 다른 객체들과 비교해 상대적으로 이질적인 객체를 의미한다. 본 논문에서는 HITS 기반 아웃라이어 검출 방법의 매개변수 변화에 따른 성능 변화를 분석하고, 매개변수 설정을 위한 가이드라인을 제안한다.

Pharmacophore Modeling and Molecular Dynamics Simulation to Find the Potent Leads for Aurora Kinase B

  • Sakkiah, Sugunadevi;Thangapandian, Sundarapandian;Kim, Yong-Seong;Lee, Keun-Woo
    • Bulletin of the Korean Chemical Society
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    • v.33 no.3
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    • pp.869-880
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    • 2012
  • Identification of the selective chemical features for Aurora-B inhibitors gained much attraction in drug discovery for the treatment of cancer. Hence to identify the Aurora-B critical features various techniques were utilized such as pharmacophore generation, virtual screening, homology modeling, molecular dynamics, and docking. Top ten hypotheses were generated for Aurora-B and Aurora-A. Among ten hypotheses, HypoB1 and HypoA1 were selected as a best hypothesis for Aurora-B and Aurora-A based on cluster analysis and ranking score, respectively. Test set result revealed that ring aromatic (RA) group in HypoB1 plays an essential role in differentiates Aurora-B from Aurora-A inhibitors. Hence, HypoB1 used as 3D query in virtual screening of databases and the hits were sorted out by applying drug-like properties and molecular docking. The molecular docking result revealed that 15 hits have shown strong hydrogen bond interactions with Ala157, Glu155, and Lys106. Hence, we proposed that HypoB1 might be a reasonable hypothesis to retrieve the structurally diverse and selective leads from various databases to inhibit Aurora-B.

Real-Time Source Classification with an Waveform Parameter Filtering of Acoustic Emission Signals (음향방출 파형 파라미터 필터링 기법을 이용한 실시간 음원 분류)

  • Cho, Seung-Hyun;Park, Jae-Ha;Ahn, Bong-Young
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.2
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    • pp.165-173
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    • 2011
  • The acoustic emission(AE) technique is a well established method to carry out structural health monitoring(SHM) of large structures. However, the real-time monitoring of the crack growth in the roller coaster support structures is not easy since the vehicle operation produces very large noise as well as crack growth. In this investigation, we present the waveform parameter filtering method to classify acoustic sources in real-time. This method filtrates only the AE hits by the target acoustic source as passing hits in a specific parameter band. According to various acoustic sources, the waveform parameters were measured and analyzed to verify the present filtering method. Also, the AE system employing the waveform parameter filter was manufactured and applied to the roller coaster support structure in an actual amusement park.

Optimal Associative Neighborhood Mining using Representative Attribute (대표 속성을 이용한 최적 연관 이웃 마이닝)

  • Jung Kyung-Yong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.43 no.4 s.310
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    • pp.50-57
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    • 2006
  • In Electronic Commerce, the latest most of the personalized recommender systems have applied to the collaborative filtering technique. This method calculates the weight of similarity among users who have a similar preference degree in order to predict and recommend the item which hits to propensity of users. In this case, we commonly use Pearson Correlation Coefficient. However, this method is feasible to calculate a correlation if only there are the items that two users evaluated a preference degree in common. Accordingly, the accuracy of prediction falls. The weight of similarity can affect not only the case which predicts the item which hits to propensity of users, but also the performance of the personalized recommender system. In this study, we verify the improvement of the prediction accuracy through an experiment after observing the rule of the weight of similarity applying Vector similarity, Entropy, Inverse user frequency, and Default voting of Information Retrieval field. The result shows that the method combining the weight of similarity using the Entropy with Default voting got the most efficient performance.

Comparative proteomics and global genome-wide expression data implicate role of ARMC8 in lung cancer

  • Amin, Asif;Bukhari, Shoiab;Mokhdomi, Taseem A;Anjum, Naveed;Wafai, Asrar H;Wani, Zubair;Manzoor, Saima;Koul, Aabid M;Amin, Basit;Qurat-ul-Ain, Qurat-ul-Ain;Qazi, Hilal;Tyub, Sumira;Lone, Ghulam Nabi;Qadri, Raies A
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.9
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    • pp.3691-3696
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    • 2015
  • Background: Cancer loci comprise heterogeneous cell populations with diverse cellular secretions. Therefore, disseminating cancer-specific or cancer-associated protein antigens from tissue lysates could only be marginally correct, if otherwise not validated against precise standards. Materials and Methods: In this study, 2DE proteomic profiles were examined from lysates of 13 lung-adenocarcinoma tissue samples and matched against the A549 cell line proteome. A549 matched-cancer-specific hits were analyzed and characterized by MALDI-TOF/MS. Results: Comparative analysis identified a total of 13 protein spots with differential expression. These proteins were found to be involved in critical cellular functions regulating pyrimidine metabolism, pentose phosphate pathway and integrin signaling. Gene ontology based analysis classified majority of protein hits responsible for metabolic processes. Among these, only a single non-predictive protein spot was found to be a cancer cell specific hit, identified as Armadillo repeat-containing protein 8 (ARMC8). Pathway reconstruction studies showed that ARMC8 lies at the centre of cancer metabolic pathways. Conclusions: The findings in this report are suggestive of a regulatory role of ARMC8 in control of proliferation and differentiation in lung adenocarcinomas.