• Title/Summary/Keyword: 성능의 척도

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Movement Pattern Analysis based on Transmission Performance over Underwater MANET (수중 MANET에서 전송성능기반 이동패턴분석)

  • Kim, Young-Dong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.6
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    • pp.1083-1088
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    • 2019
  • Even though the transmission performance is very important factor for not only study and development but also for design, implementation, and operation of underwater MANET. There is a trend of using it as a measurement factor for comparing and analyzing degree of network performance. In this paper, movement pattern using transmission performance is analyzed to enlarge the use of transmission performance in underwater MANET. The relation between transmission performance and movement pattern is firstly considered and then through this consideration, causing effects of movement pattern to transmission performance is studied. Results of this study can be used as an important base to predict and analyze movement pattern through measuring of transmission performance of moving objects in underwater environments.

Optimal Time Structure for Tag Cognizance Scheme based on Framed and Slotted ALOHA in RFID Networks (RFID 망에서 프레임화 및 슬롯화된 ALOHA에 기반한 Tag 인식 방식을 위한 최적 시간 구조)

  • Choi, Cheon-Won
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.47 no.9
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    • pp.29-36
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    • 2010
  • Consider an RFID network configured as a star such that a single reader is surrounded by a crowd of tags. In the RFID network, prior to attaining the information stored at a tag, the reader must cognize the tags while arbitrating a collision among tags' responses. For this purpose, we present a tag cognizance scheme based on framed and slotted ALOHA, which statically provides a number of slots in each frame for the tags to respond. For the evaluation of the cognizance performance, we choose the cognizance completion probability and the expected cognizance completion time as key performance measures. Then, we present a method to numerically calculate the performance measures. Especially, for small numbers of tags, we derive them in a closed form. Next, we formulate a problem to find an optimal time structure which either maximizes the cognizance completion probability under a constraint on the cognizance time or minimizes the expected cognizance completion time. By solving the problem, we finally obtain an optimal number of slots per frame for the tags to respond. From numerical results, we confirm that there exist a finite optimal number of slots for the tags to respond. Also, we observe that the optimal number of slots maximizing the cognizance completion probability tends to approach to the optimal number of slots minimizing the expected cognizance completion time as the constraint on the cognizance time becomes loose.

Illegal Cash Accommodation Detection Modeling Using Ensemble Size Reduction (신용카드 불법현금융통 적발을 위한 축소된 앙상블 모형)

  • Lee, Hwa-Kyung;Han, Sang-Bum;Jhee, Won-Chul
    • Journal of Intelligence and Information Systems
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    • v.16 no.1
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    • pp.93-116
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    • 2010
  • Ensemble approach is applied to the detection modeling of illegal cash accommodation (ICA) that is the well-known type of fraudulent usages of credit cards in far east nations and has not been addressed in the academic literatures. The performance of fraud detection model (FDM) suffers from the imbalanced data problem, which can be remedied to some extent using an ensemble of many classifiers. It is generally accepted that ensembles of classifiers produce better accuracy than a single classifier provided there is diversity in the ensemble. Furthermore, recent researches reveal that it may be better to ensemble some selected classifiers instead of all of the classifiers at hand. For the effective detection of ICA, we adopt ensemble size reduction technique that prunes the ensemble of all classifiers using accuracy and diversity measures. The diversity in ensemble manifests itself as disagreement or ambiguity among members. Data imbalance intrinsic to FDM affects our approach for ICA detection in two ways. First, we suggest the training procedure with over-sampling methods to obtain diverse training data sets. Second, we use some variants of accuracy and diversity measures that focus on fraud class. We also dynamically calculate the diversity measure-Forward Addition and Backward Elimination. In our experiments, Neural Networks, Decision Trees and Logit Regressions are the base models as the ensemble members and the performance of homogeneous ensembles are compared with that of heterogeneous ensembles. The experimental results show that the reduced size ensemble is as accurate on average over the data-sets tested as the non-pruned version, which provides benefits in terms of its application efficiency and reduced complexity of the ensemble.

Noise Measurement by Percentage of Effective Linear Attenuation Coefficient of Water in CT Image of AAPM CT Performance Phantom (AAPM CT 성능 팬텀의 CT영상에서 물 유효선감쇠계수의 백분율에 의한 노이즈 측정)

  • Jong-Eon, Kim;Sang-Hun, Lee
    • Journal of the Korean Society of Radiology
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    • v.16 no.6
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    • pp.771-778
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    • 2022
  • The purpose of this study is to present a method of measuring noise by the percentage of effective line attenuation coefficient of water that can be used for quality control of CT image noise using AAPM CT performance phantom in clinical practice. In the CT images obtained by scanning the AAPM CT performance phantom with a 120 kVp CT X-ray beam, the mean CT number was measured for each pin and water in the CT number linearity insert part. The effective energy was determined as the photon energy with the largest correlation coefficient from the correlation coefficients of the linear regression analysis of the measured mean CT number for each pin and water and the linear attenuation coefficient for each photon energy. And for water and acrylic, the contrast scale was calculated as 0.000188 cm-1 · HU-1 from the measured mean CT number and effective line attenuation coefficient. Using the calculated contrast scale, the effective line attenuation coefficient of water, and the standard deviation measured in the water of the alignment pin part of the AAPM CT performance phantom, The noise measurement value by the percentage of effective line attenuation coefficient of water obtained 0.31 ~ 0.52% in the range of 100 ~ 300 mAs.

Trends of Baseband SoC Technology in the LTE Femtocell (LTE 펨토셀 베이스밴드 SoC 기술 개발 동향)

  • Kim, J.Y.;Lee, J.H.;Koo, B.T.;Eum, N.W.
    • Electronics and Telecommunications Trends
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    • v.28 no.2
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    • pp.58-69
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    • 2013
  • LTE 기반의 펨토셀 활용과 개발에 대한 요구는 LTE로의 이동통신 서비스가 본격화되면서, 최근 몇 년간 중요한 이슈로 자리매김하고 있다. 기지국 장비의 재설치와 주파수의 효율적인 활용 측면에서 펨토셀 기지국은 이동통신 서비스 사업자와 가입자에게 동시에 중요한 역할을 수행할 것으로 보인다. 이러한 펨토셀 기지국의 필요성을 충족시켜 주기 위해서는 펨토셀 기지국의 형상과 기능에서 그 본래의 요구를 만족시켜 주는 것이 중요하다. 무엇보다도, LTE 기반의 펨토셀 기지국은 기기의 간편한 설치와 매크로셀 기지국의 오프로딩이라는 역할을 충실히 수행할 수 있는지가 핵심적 평가 요소가 될 것이다. 이를 위해서는 펨토셀 기지국의 핵심 부품인 베이스밴드 SoC(System on a Chip) 성능 및 기능이 펨토셀 기지국 전체의 경쟁력을 판단하는 데 중요한 척도 중에 하나가 될 것이다. 본고에서는 이러한 관점에서 ETRI가 개발한 LTE 펨토셀 기지국의 베이스밴드 SoC를 중심으로 그 형상과 개발 과정을 기술하고 해외 업체들의 베이스밴드 칩셋의 형상과 개발상황에 대해서 자세히 기술하기로 한다.

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Comparison of Edge Detection using Linear Rank Tests in Images (영상에서 선형순위검정법을 이용한 에지검출 비교)

  • Lim Dong-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.6 s.38
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    • pp.17-26
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    • 2005
  • In this paper we propose three nonparametric tests such as Wilcoxon test, Median test and Van der Waerden test, based on linear rank statistics for detecting edges in images. The methods used herein are based on detecting changes in gray-levels obtained using an edge-height parameter between two sub-regions in a 5$\times$5 window We compare and analysis the performance of three statistical edge detectors in terms of qualitative measures with the edge maps and objective, quantitative measures.

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Comparison of Performance Measures for Credit-Card Delinquents Classification Models : Measured by Hit Ratio vs. by Utility (신용카드 연체자 분류모형의 성능평가 척도 비교 : 예측률과 유틸리티 중심으로)

  • Chung, Suk-Hoon;Suh, Yong-Moo
    • Journal of Information Technology Applications and Management
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    • v.15 no.4
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    • pp.21-36
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    • 2008
  • As the great disturbance from abusing credit cards in Korea becomes stabilized, credit card companies need to interpret credit-card delinquents classification models from the viewpoint of profit. However, hit ratio which has been used as a measure of goodness of classification models just tells us how much correctly they classified rather than how much profits can be obtained as a result of using classification models. In this research, we tried to develop a new utility-based measure from the viewpoint of profit and then used this new measure to analyze two classification models(Neural Networks and Decision Tree models). We found that the hit ratio of neural model is higher than that of decision tree model, but the utility value of decision tree model is higher than that of neural model. This experiment shows the importance of utility based measure for credit-card delinquents classification models. We expect this new measure will contribute to increasing profits of credit card companies.

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Structural Analysis and Performance Evaluation of Quick Change Power Chuck for Lathe Operations (선반용 급속 교환 파워 척의 구조해석 및 성능평가)

  • 유중학
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.8 no.5
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    • pp.90-95
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    • 1999
  • Chucking for workpieces is very important for productivity and efficiency in lathe operations. In point of productivity top jaws of the chuck should be changed as quickly as possible in order to reduce idle times wherever workpieces are regripped. A quick change power chuck which can change top jaws quickly by using a jaw change handle without any assembly/disassembly processes of screws is analyzed for this study. strength and stiffness of top jaws by centrifugal force are considered for the design. Structural analysis for the chuck is executed and the finite element method is introduced using MSC/NASTRAN software. Also, the performance of the chuck is evaluated by experiments.

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Image database for location recognition of robots for indoor environments (실내 서비스 로봇의 장소 인식을 위한 영상 데이터베이스 구축)

  • Sung, Ki-Yeop;Moon, Seung-Bin;Ryuh, Young-Sun
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1882-1883
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    • 2011
  • 서비스 로봇은 효과적인 작업 수행을 위해 장소 인식을 정확하고 빠르게 할 필요가 있다. 이러한 장소 인식을 위해 영상 센서를 사용하여 데이터베이스와 비교하여 장소를 인식하는 방식이 많이 사용되고 있다. 현재 사용 가능한 영상 데이터베이스는 하나의 공간에서 다양하게 얻을 수 있는 영상을 수집하여 갖추고 있지 않다. 본 논문에서 제안하는 SEFEX database는 병원 실내에서 촬영된 영상 데이터베이스로 총 25개 촬영장소 (회전 영상 촬영 장소 15가지, 주행 영상 촬영 장소 10가지), 기준 영상 총 100장 (회전 영상 : 60장, 주행영상: 40장)과 시험 영상 총 250장 (회전 영상 : 150장, 주행 영상: 100장)의 사진으로 구성되어 있다. 이 영상 데이터베이스를 이용하여 제조사나 연구자가 장소 인식 성능 평가의 척도나 알고리즘의 평가 척도로 사용할 수 있을 것으로 예상되며, 새로운 장소 인식 방법의 개발 등의 장소 인식 분야에 사용될 것으로 기대된다.

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A Similar Music Retrieval System using Improved Uniform Scaling (향상된 균일 스케일링을 이용한 유사 음악 검색시스템)

  • Lee, Hye-Hwan;Shim, Kyu-Seok
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10c
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    • pp.183-188
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    • 2006
  • 허밍을 통한 유사 검색 질의가 주어질 때 효과적으로 음악 데이터베이스를 검색하는 시스템에 대한 연구는 다양한 방향으로 진행되어 왔다. 최근에는 음악 데이터와 허밍 질의를 시계열 데이터로 보고 시계열 데이터 유사 검색과 관련하여 제안되어 왔던 여러 가지 거리 척도(distance measure)나 인덱싱 기법등을 적용하여 효과적으로 질의를 처리하려는 시도가 계속 되고 있다. 허밍 질의의 특성을 고려한 균일 스케일링(Uniform Scaling)을 사용하여 효과적인 유사 검색을 하는 방법은 가장 최근 제시된 방법 중 하나이다. 본 논문에서는 허밍을 통한 유사 검색 시스템인 Humming BIRD(Humming Based similaR miDi music retrieval system)를 제안하고 구현하였다. 슬라이딩 윈도우를 사용하여 음악의 임의의 부분에 대한 허밍 질의를 처리할 수 있도록 하였으며 효율적인 검색을 위해 중심을 일치시킨(center-aligned) 균일 스케일링을 제안하고 이 거리의 하한을 계산하는 하계 함수를 사용하여 탐색 공간(search space)을 효과적으로 줄여 더 빠르고 효과적인 유사 검색을 가능하도록 하였으며 실험을 통해 중심을 일치시킨된 균일 스케일링이 이전과 같은 검색 결과를 얻으면서도 효과적으로 검색함을 탐색 공간을 줄이는 가지치기 성능을 비교함으로써 보였다.

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