• Title/Summary/Keyword: scoring system

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A Study on Layered Weight Based Vulnerability Impact Assessment Scoring System (계층적 가중 기반의 취약점 영향성 평가 스코어링 시스템에 대한 연구)

  • Kim, Youngjong
    • KIPS Transactions on Computer and Communication Systems
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    • v.8 no.7
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    • pp.177-180
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    • 2019
  • A typical vulnerability scoring system is Common Vulnerability Scoring System(CVSS). However, since CVSS does not differentiate among the individual vulnerability impact of the asset and give higher priority for the more important assets, it is impossible to respond effectively and quickly to high-risk vulnerabilities on large systems. We propose a Layered weight based Vulnerability impact assessment Scoring System which can hierarchically group the importance of assets and weight the number of layers and the number of assets to effectively manage the impact of vulnerabilities on a per asset basis.

Computerized Image Analysis of Micronucleated Reticulocytes in Mouse Bone Marrow (컴퓨터 이미지 분석법을 이용한 마우스 골수세포에서 소핵의 계수)

  • 권정;홍미영;고우석;정문구;이미가엘
    • Toxicological Research
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    • v.18 no.4
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    • pp.369-374
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    • 2002
  • The present study was performed to validate an automated image analysis system (Loats Automated Micronucleus Scoring System) for the mouse bone marrow micronucleus assay, comparing with conventional microscopic scoring. Two studies were conducted to provide slides for a comparison of micro-nucleated polychromatic erythrocytes (MNPCEs) values collected manually to those collected by the auto-mated system. Test article A was used as an example of a compound negative for the induction of micronuclei and test article B was wed as a micronucleus-inducing agent to elicit a positive response. Cyclophosphamide was included to provide an positive control in two studies. Bone marrow samples were collected 24 h after administration of test article A and B in male ICR mice. The cells were fixed with absolute methanol and stained with May-Grunwald and Giemsa. The number of MNPCEs was determined by the analysis of 1000 total PCEs per bone marrow sample. In addition to micronucleus scoring, an index of bone marrow toxicity based on PCE ratio (% of PCEs to total erythrocytes) was determined for each sample. The automated and manual scoring was similar when the MNPCEs incidence induced by each test article was less than 10. However manual scoring was able to effectively enumerate micronucleated PCEs in mouse bone marrow when MNPCEs incidence was more than 10, such as cyclophosphamide treatment. Conversely, PCE ratio was superior in computer-assisted image analysis. Taken together, it is suggested that improvement of the automated image analysis may be necessary to render the automatic scoring as sensitive as manual scoring for routine counting of micronuclei, especially because it is superior in objectivity and high throughput scoring.

A Study on Development of Scoring Campaign System (고객 스코어링 캠페인 시스템 개발에 대한 연구)

  • Han, Sang-Tae;Kang, Hyun-Cheol;Choi, Ho-Sik;Jang, Myung-Suk
    • The Korean Journal of Applied Statistics
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    • v.22 no.1
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    • pp.1-16
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    • 2009
  • Recently, most companies are speeding up the movement of modeling and strategically applying IDI (Integration Database Information). This is due to the fact that CRM (Customer Relationship Management) representing communication and relation maintenance with customers, has been raised one of the most important issues for companies. From this point of view, this study is to develop the scoring campaign system connect-ing customer scoring model to marketing layer through data mining techniques which are the core factor for CRM. This developed system makes users easily choose the target customers as well as easily obtain customer scoring results under GUI circumstances which helps users easily apply as a result.

Stratifying Patients with Haematuria into High or Low Risk Groups for Bladder Cancer: a Novel Clinical Scoring System

  • Tan, Guan Hee;Shah, Shamsul Azhar;Ann, Ho Sue;Hemdan, Siti Nurhafizah;Shen, Lim Chun;Abdul Galib, Nurudin Al-Fahmi;Singam, Praveen;Kong, Ho Chee Christopher;Hong, Goh Eng;Bahadzor, Badrulhisham;Zainuddin, Zulkifli Md
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.11
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    • pp.6327-6330
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    • 2013
  • Haematuria is a common presentation of bladder cancer and requires a full urologic evaluation. This study aimed to develop a scoring system capable of stratifying patients with haematuria into high or low risk groups for having bladder cancer to help clinicians decide which patients need more urgent assessment. This cross-sectional study included all adult patients referred for haematuria and subsequently undergoing full urological evaluation in the years 2001 to 2011. Risk factors with strong association with bladder cancer in the study population were used to design the scoring system. Accuracy was determined by the area under the receiver operating characteristic (ROC) curve. A total of 325 patients with haematuria were included, out of which 70 (21.5%) were diagnosed to have bladder cancer. Significant risk factors associated with bladder cancer were male gender, a history of cigarette smoking and the presence of gross haematuria. A scoring system using 4 clinical parameters as variables was created. The scores ranged between 6 to 14, and a score of 10 and above indicated high risk for having bladder cancer. It was found to have good accuracy with an area under the ROC curve of 80.4%, while the sensitivity and specificity were 90.0% and 55.7%, respectively. The scoring system designed in this study has the potential to help clinicians stratify patients who present with haematuria into high or low r isk for having bladder cancer. This will enable high-risk patients to undergo urologic assessment earlier.

Usefulness of the Clock Drawing Test as a Cognitive Screening Instrument for Mild Cognitive Impairment and Mild Dementia: an Evaluation Using Three Scoring Systems

  • Kim, Sangsoon;Jahng, Seungmin;Yu, Kyung-Ho;Lee, Byung-Chul;Kang, Yeonwook
    • Dementia and Neurocognitive Disorders
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    • v.17 no.3
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    • pp.100-109
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    • 2018
  • Background and Purpose: Although the clock drawing test (CDT) is a widely used cognitive screening instrument, there have been inconsistent findings regarding its utility with various scoring systems in patients with mild cognitive impairment (MCI) or dementia. The present study aimed to identify whether patients with MCI or dementia exhibited impairment on the CDT using three different scoring systems, and to determine which scoring system is more useful for detecting MCI and mild dementia. Methods: Patients with amnestic mild cognitive impairment (aMCI), vascular mild cognitive impairment (VaMCI), mild Alzheimer's disease (AD), mild vascular dementia (VaD), and cognitively normal older adults (CN) were included. All participants were administered the CDT, the Korean-Mini Mental State Examination (K-MMSE), and the Clinical Dementia Rating scale. The CDT was scored using the 3-, 5-, and 15-point scoring systems. Results: On all three scoring systems, all patient groups demonstrated significantly lower scores than the CN. However, while there were no significant differences among patients with aMCI, VaMCI, and AD, those with VaD exhibited the lowest scores. Area under the Receiver Operating Characteristic curves revealed that the three CDT scoring systems were comparable with the K-MMSE in differentiating aMCI, VaMCI, and VaD from CN. In differentiating AD from CN, however, the CDT using the 15-point scoring system demonstrated the most comparable discriminability with K-MMSE. Conclusions: The results demonstrated that the CDT is a useful cognitive screening tool that is comparable with the Mini-Mental State Examination, and that simple CDT scoring systems are sufficient for differentiating patients with MCI and mild dementia from CN.

Scoring models to detect foreign exchange money laundering (외국환 거래의 자금세탁 혐의도 점수모형 개발에 관한 연구)

  • Hong, Seong-Ik;Moon, Tae-Hee;Sohn, So-Young
    • IE interfaces
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    • v.18 no.3
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    • pp.268-276
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    • 2005
  • In recent years, the money Laundering crimes are increasing by means of foreign exchange transactions. Our study proposes four scoring models to provide early warning of the laundering in foreign exchange transactions for both inward and outward remittances: logistic regression model, decision tree, neural network, and ensemble model which combines the three models. In terms of accuracy of test data, decision tree model is selected for the inward remittance and an ensemble model for the outward remittance. From our study results, the accumulated number of transaction turns out to be the most important predictor variable. The proposed scoring models deal with the transaction level and is expected to help the bank teller to detect the laundering related transactions in the early stage.

Development of a Boat Operator Computer Scoring System Based on LiDAR and WAVE (LiDAR 및 WAVE 기반 동력수상레저기구 조종면허 실기시험 전자시스템 개발)

  • Moon, Jung-Hwan;Yun, Jea-Jun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.4
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    • pp.504-510
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    • 2019
  • Practical test items were analyzed to extend the existing scoring method for boat operator licenses to an electronic scoring method. We have attempted to digitize the method within the current practical test system scope and have developed an electronic scoring system using LiDAR sensors and WAVE communication. The results of the study are as follows; the first, the scoring data entered into the LiDAR and examiner score device on the boat were transferred from an integrated processing unit to a land control center through WAVE communication. The system was constructed and verified to store and manage examinee data. Second, when testing the meandering task, accurate distance measurement was achieved by using LiDAR instead of visually observing the stick (3 m), and an accurate distance was displayed through the examiner score device quickly. Finally, we confirmed that it is possible to smoothly transmit and process the WAVE communication used to transfer the score data acquired from the boat to the monitoring center at a high speed without loss.

Implementation of OMR Answer Paper Scoring Method Using Image Processing Method (영상처리기법을 활용한 OMR 답안지 채점방법의 구현)

  • Kwon, Hiok-Han;Hwang, Gi-Hyun
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.3
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    • pp.169-175
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    • 2011
  • In this paper, an automatic scoring system of the OMR answer sheet is implemented using Gray Scale and image segmentation method. The proposed method was used to extract the OMR data on multiple-choice answer sheet from captured image. In addition, On-line scoring system is developed and implemented to mark the short-answer type on the reverse side. Therefore, teachers can mark the short-answer type for anytime and anywhere within the available time. There were many advantages to mark of the multiple-choice answer sheet without additional OMR reader. In the future, the grading of short-answer type will be more efficient if it were performed by using an automatic scoring system based on image processing.

Quantitative Scoring Criteria on the Importance of Software Weaknesses (소프트웨어 보안약점의 중요도에 대한 정량 평가 기준 연구)

  • Ahn, Joonseon;Bang, Ji-Ho;Lee, Eunyoung
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.6
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    • pp.1407-1417
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    • 2012
  • In order to protect a software system from security attacks, it is important to remove the software security weaknesses through the entire life cycle of software development. To remove the software weaknesses more effectively, software weaknesses are prioritized and sorted continuously. In this paper, we introduce the existing scoring systems for software weakness and software vulnerability, and propose a new quantitative standard for the scoring system, which helps evaluate the importance of software weakness objectively. We also demonstrate the practicability of the proposed standard by scoring 2011 CWE/SANS Top 25 list with the proposed standard and comparing it to the original score of MITRE.