• 제목/요약/키워드: classification criterion

검색결과 284건 처리시간 0.038초

Implementation of Class-Based Low Latency Fair Queueing (CBLLFQ) Packet Scheduling Algorithm for HSDPA Core Network

  • Ahmed, Sohail;Asim, Malik Muhammad;Mehmood, Nadeem Qaisar;Ali, Mubashir;Shahzaad, Babar
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권2호
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    • pp.473-494
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    • 2020
  • To provide a guaranteed Quality of Service (QoS) to real-time traffic in High-Speed Downlink Packet Access (HSDPA) core network, we proposed an enhanced mechanism. For an enhanced QoS, a Class-Based Low Latency Fair Queueing (CBLLFQ) packet scheduling algorithm is introduced in this work. Packet classification, metering, queuing, and scheduling using differentiated services (DiffServ) environment was the points in focus. To classify different types of real-time voice and multimedia traffic, the QoS provisioning mechanisms use different DiffServ code points (DSCP).The proposed algorithm is based on traffic classes which efficiently require the guarantee of services and specified level of fairness. In CBLLFQ, a mapping criterion and an efficient queuing mechanism for voice, video and other traffic in separate queues are used. It is proved, that the algorithm enhances the throughput and fairness along with a reduction in the delay and packet loss factors for smooth and worst traffic conditions. The results calculated through simulation show that the proposed calculations meet the QoS prerequisites efficiently.

웨딩 잡지에 나타난 한복의 문양 및 모티프 분석 (An Analysis of Patterns and Motifs in Hanbok Introduced in Wedding Magazine)

  • 김재임;이혜숙;김순아
    • 복식문화연구
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    • 제13권6호통권59호
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    • pp.999-1010
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    • 2005
  • The purposes of this study were to investigate used patterns in Hanbok and to find out a classification and a characteristic of motifs. The data made use of 111 pictures constituted Gegory(a Korean jacket) and Chima(a skirt) in photographs collected in wedding magazine(Wedding 21'). The data was analyzed by frequency, contents analysis. Pattern's use or not in Hanbok and a sort, a arrangement, a way of expression of patterns using frequency Classified and characteristics of motifs were analyzed contents analysis. The results of this study were as follows. First, a sort of patterns was lots of flower motifs of the plant pattern. An arrangement of and expression of patterns used mainly a partial arrangement and embroidery expression. Second, the subjects classified using criterion of classification of a external feature, forms of expression, and simplicity/complexity of line. Third, the motifs classified into plants, an animal, geometry, abstraction, and a natural object. The plant motifs were perceived the focus of flower, a combination of a flower and a stem in the plant motifs. The subjects perceived as a simplicity/complexity of flower and a drawing line of a flower and a stem.

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2007년 한국프로야구에서 도루성공모형 (Steal Success Model for 2007 Korean Professional Baseball Games)

  • 홍종선;최정민
    • 응용통계연구
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    • 제21권3호
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    • pp.455-468
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    • 2008
  • 야구경기의 승패에 영향을 미치는 중요한 요인으로 간주되는 도루의 성공모형을 개발하기 위하여 2007년 한국프로야구 기록자료를 바탕으로 로지스틱 회귀모형들을 제안한다. 또한 한국프로야구의 도루성공과 실패에 대해 판별분석을 실시하고 분류 기준값을 결정하였으며, 판별분석 분류표를 이용해 로지스틱 회귀분석과 판별분석의 효율성을 비교한다. 전체적인 모형의 정확도는 로지스틱 회귀모형이 판별분석보다 더 좋은 것으로 나타났고, 연속형 자료를 범주형으로 변환한 자료에 대한 로지스틱 회귀모형도 유사한 효율성을 갖고있다.

하이브리드 신경회로망을 이용한 화자인식에 관한 연구 (A Study on Speaker Identification Using Hybrid Neural Network)

  • 신청호;신대규;이재혁;박상희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1997년도 추계학술대회 논문집 학회본부
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    • pp.600-602
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    • 1997
  • In this study, a hybrid neural net consisting of an Adaptive LVQ(ALVQ) algorithm and MLP is proposed to perform speaker identification task. ALVQ is a new learning procedure using adaptively feature vector sequence instead of only one feature vector in training codebooks initialized by LBG algorithm and the optimization criterion of this method is consistent with the speaker classification decision rule. ALVQ aims at providing a compressed, geometrically consistent data representation. It is fit to cover irregular data distributions and computes the distance of the input vector sequence from its nodes. On the other hand, MLP aim at a data representation to fit to discriminate patterns belonging to different classes. It has been shown that MLP nets can approximate Bayesian "optimal" classifiers with high precision, and their output values can be related a-posteriori class probabilities. The different characteristics of these neural models make it possible to devise hybrid neural net systems, consisting of classification modules based on these two different philosophies. The proposed method is compared with LBG algorithm, LVQ algorithm and MLP for performance.

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사업체 규모 및 출하특성 자료를 이용한 화물운송시장 분할 (Freight Market Segmentation Using Company Size and Shipment Characteristics Data)

  • 최창호;남두희
    • 대한교통학회지
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    • 제24권4호
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    • pp.103-113
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    • 2006
  • 화물운송시장의 분할은 운송시장의 효율화를 기하고 운송인이 물동량을 유치하기 위한 전략을 알기 위해 사용된다 화주 개개인의 성향을 파악하기 어려우므로 화주를 동질성을 갖는 몇 개의 군집으로 묶어 집단의 성향을 파악한다. 우리나라의 경우 표준산업분류의 배열순서에 따라 시장분할을 하여 왔다. 본 연구는 제조업체를 대상으로 새로운 운송시장 분할 가능성을 평가하였다. 연구의 결과 시장분할을 위한 적정 기준은 연간 입 출하량으로 우수한 분할능력을 보였다 또한 표준산업분류표의 배열순서에 따른 시장분할과 다른 결과를 도출하였다 본 연구는 물동량 발생 주체인 제조업체의 규모와 출하특성을 나타내는 자료를 이용하여 운송시장을 분할한 시도로서 의의가 있다.

스타일에 따른 웹 문서의 자동 분류 (Automatic Classification of Web documents According to their Styles)

  • 이공주;임철수;김재훈
    • 정보처리학회논문지B
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    • 제11B권5호
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    • pp.555-562
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    • 2004
  • 스타일 또는 장르는 문서의 주제와는 다른 문서를 보는 또 하나의 관점이 될 수 있다. 그렇기 때문에 문서의 스타일은 문서 분류의 기준으로 사용될 수 있다. 문서의 스타일에 따른 자동 분류 시스템에 대한 여러 연구들이 수행되어 왔다. 그러나 이런 연구들의 대부분이 일반 문서를 대상으로 수행하였으며, 몇몇 일부의 연구만이 웹 문서를 대상으로 스타일 분류에 대한 연구를 수행하였다. 웹 문서는 일반 문서와는 달리 URL HTML을 갖고 있다. 본 연구에서는 이와 같은 URL과 HTML로부터 추출한 자질들을 웹 문서의 스타일 분류에 사용해 보고자 한다. 실험을 통해서 이와 같은 자질들이 웹 문서의 스타일 분류에 어떤 영향을 미치는지를 밝혀보고자 한다.

점증적 모델에서 최적의 네트워크 구조를 구하기 위한 학습 알고리즘 (An Learning Algorithm to find the Optimized Network Structure in an Incremental Model)

  • 이종찬;조상엽
    • 인터넷정보학회논문지
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    • 제4권5호
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    • pp.69-76
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    • 2003
  • 본 논문에서는 패턴 분류를 위한 새로운 학습 알고리즘을 소개한다. 이 알고리즘은 학습 데이터 집합에 포함된 오류 때문에 네트워크 구조가 너무 복잡하게 되는 점증적 학습 알고리즘의 문제를 해결하기 위해 고안되었다. 이 문제를 위한 접근 방법으로 미리 정의된 판단기준을 가지고 학습 과정을 중단하는 전지 방법을 사용한다. 이 과정에서 적절한 처리과정에 의해 3층 전향구조를 가지는 반복적 모델이 점증적 모델로부터 유도된다 여기서 이 네트워크 구조가 위층과 아래층 사이에 완전연결이 아니라는 점을 주목한다. 전지 방법의 효율성을 확인하기 위해 이 네트워크는 EBP로 다시 학습한다. 이 결과로부터 제안된 알고리즘이 시스템 성능과 네트워크 구조를 이루는 노드의 수 면에서 효과적임을 발견할 수 있다.

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Photon-counting linear discriminant analysis for face recognition at a distance

  • Yeom, Seok-Won
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제12권3호
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    • pp.250-255
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    • 2012
  • Face recognition has wide applications in security and surveillance systems as well as in robot vision and machine interfaces. Conventional challenges in face recognition include pose, illumination, and expression, and face recognition at a distance involves additional challenges because long-distance images are often degraded due to poor focusing and motion blurring. This study investigates the effectiveness of applying photon-counting linear discriminant analysis (Pc-LDA) to face recognition in harsh environments. A related technique, Fisher linear discriminant analysis, has been found to be optimal, but it often suffers from the singularity problem because the number of available training images is generally much smaller than the number of pixels. Pc-LDA, on the other hand, realizes the Fisher criterion in high-dimensional space without any dimensionality reduction. Therefore, it provides more invariant solutions to image recognition under distortion and degradation. Two decision rules are employed: one is based on Euclidean distance; the other, on normalized correlation. In the experiments, the asymptotic equivalence of the photon-counting method to the Fisher method is verified with simulated data. Degraded facial images are employed to demonstrate the robustness of the photon-counting classifier in harsh environments. Four types of blurring point spread functions are applied to the test images in order to simulate long-distance acquisition. The results are compared with those of conventional Eigen face and Fisher face methods. The results indicate that Pc-LDA is better than conventional facial recognition techniques.

PCA에 의한 도서분류에 관한 연구(II) (A Study on the Classification of Islands by PCA(II))

  • 이강우;남수현
    • 수산경영론집
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    • 제15권1호
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    • pp.58-80
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    • 1984
  • The classification of islands is prerequisite for establishing a development policy to vitalize many-sided function of islands. We try to classify the 440 inhabited islands which exist in Jeon-Nam area and Kyong-Nam area by means of PCA. PCA begins with making correlation matrix of orignal variables. From this matrix we can comprehend the rough relationships between two variables. Next, we look for the eigenvalues which are roots of characteristic equation of correlation matrix. The number of eigenvalues is equal to that of original variables. We choose the largest eigenvalue λ$_1$among them and then look for the eigenvector of correlation matrix corresponding to the largest eigenvalue. Linear combination of eigenvector obtained above and original variables is namely first Principal Component (PC). Using an eigenvalue criterion(λ$\geq$ 1), we choose 3 PCs in Jeon-Nam area and 2 PCs in Kyong-Nam area. But we decide to consider only two PCs in both areas to faciliate a comparative analysis. Now, loss of information is 31.7% in Jeon-Nam area and 26.64% in Kyong-Nam area. PCs extracted by preceding procedure have characteristics as follows. The first PC relates to aggregate size of islands in case of both areas. The second PC relates to income per household, factors of agricultural production and factors of fisheries production in Jeon-Nam area, but in Kyong-Nam area it means distance from island and income per household. A classification of islands can be attained by plotting component scores of each island in graph used two PCs as axes and grouping similiar islands. 6 groups are formed in Jeon-Nam area and 5 groups in Kyong-Nam area. The result of this study in kyong-Nam area accords with prior result of study.

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역대의가(歷代醫家)의 맥상(脈象) 분석(分類)에 대한 연구 (Study on Classification of Pulse Condition of the Chronological Medical Practitioners)

  • 박재원;김병수;강정수
    • 동의생리병리학회지
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    • 제22권6호
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    • pp.1347-1353
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    • 2008
  • Pulse condition is the essential division for conducting pulse diagnosis which is one of the most fundamental and important diagnostics in traditional Korean/Chinese medicine. We studied the pulse condition referred to classics of traditional medicine for a full understanding in present time and come to a conclusion like below. The reference to pulse condition was concluded to 'twenty four pulse conditions' which is the fundamental conception generally accepted in present age since it had first mentioned in "Huangdi Neijing" and after it had passed through "Nanjing", "pulse pattern identification-chapter of normal pulse"of Zhang Zhongjing and reached "Maijing"of Wang Shuhe. Although medical partitioners had different views to some extent about pulse condition, there were no significant differences in the main theoretical frame. Even though there had been a diversity of opinions on the classification of pulse-condition between various medical practitioners, the method of Dae-dae and the method of systematic endeavored by Zhou Xueting and Zhou Xuehai who were medical scholars in the Ch'ing dynasty have been a criterion for the classification of pulse-condition up to date. We were able to recognize that the change of pulse condition caused by pathological situation should be compared to physiological pulse condition for detecting the deficiency and excess by researching the analyzing methods of pulse condition mentioned in the "Lingshu", and the book of Hua Shou and Zhou Xuehai). To sum up, first normal pulse which is the physiological pulse condition should be a standard for detecting physiological pulse condition. Secondly, Zhou Xueting insisted that relaxed pulse should be a standard pulse condition for detecting normal pulse.