• Title/Summary/Keyword: Feature deletion

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A phonological study and historical view on IC clusters in English (영어 lC 자음군에 관한 역사적 조명과 음운적 고찰)

  • Oh, Kwanyoung
    • English Language & Literature Teaching
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    • v.16 no.4
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    • pp.201-222
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    • 2010
  • The purpose of this study is to investigate /l/-deletion in lC clusters which are composed of a lateral followed by consonants at syllable-final position in English. For this, I have analyzed /l/-deletion in words depending on conditions and theoretical analyses such as Sonority Sequencing Generalization, Cluster Simplification, Complex sounds and merger, and Feature Geometry, but they didn't offer a very satisfactory explanation to the phenomenon. Therefore, I adopted a historical approach in order to determine the cause and origin of /l/-deletion in lC clusters, and then as a phonological analysis tool, I relied on the constraints and their ranking in Optimal Theory framework for explaining /l/-deletion in the clusters more consistently. As a result, I can explain the phenomenon more explicitly than from the above mentioned analyses.

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Correlation between the frequency of word and the deletion of segment (우리말 어휘빈도 정보와 분절음 탈락의 관련성에 대한 연구)

  • Cha Jae-Eun
    • MALSORI
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    • no.47
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    • pp.1-13
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    • 2003
  • The purpose of this paper is to research the correlation between frequency and the deletion of /w, (equation omitted)/ in Korean. For this purpose, I select 11 words from the frequency data, then, analyze the speech of 20 speakers of standard Korean. As a result, I can find that there is correlation between the frequency and the deletion rate of segment. The rate of deletion is higher in high frequency words, while the rate of realization is higher in low frequency words. Although there is correlation between the frequency and the deletion rate of segment, the feature of segment, prosodic environments are more important in segment deletion.

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Interstitial deletion of 5q33.3q35.1 in a boy with severe mental retardation

  • Lee, Jin Hwan;Kim, Hyo Jeong;Yoon, Jung Min;Cheon, Eun Jung;Lim, Jae Woo;Ko, Kyong Og;Lee, Gyung Min
    • Clinical and Experimental Pediatrics
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    • v.59 no.sup1
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    • pp.19-24
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    • 2016
  • Constitutional interstitial deletions of the long arm of chromosome 5 (5q) are quite rare, and the corresponding phenotype is not yet clearly delineated. Severe mental retardation has been described in most patients who present 5q deletions. Specifically, the interstitial deletion of chromosome 5q33.3q35.1, an extremely rare chromosomal aberration, is characterized by mental retardation, developmental delay, and facial dysmorphism. Although the severity of mental retardation varies across cases, it is the most common feature described in patients who present the 5q33.3q35.1 deletion. Here, we report a case of a de novo deletion of 5q33.3q35.1, 46,XY,del(5)(q33.3q35.1) in an 11-year-old boy with mental retardation; to the best of our knowledge this is the first case in Korea to be reported. He was diagnosed with severe mental retardation, developmental delay, facial dysmorphisms, dental anomalies, and epilepsy. Chromosomal microarray analysis using the comparative genomic hybridization array method revealed a 16-Mb-long deletion of 5q33. 3q35.1(156,409,412-172,584,708)x1. Understanding this deletion may help draw a rough phenotypic map of 5q and correlate the phenotypes with specific chromosomal regions. The 5q33.3q35.1 deletion is a rare condition; however, accurate diagnosis of the associated mental retardation is important to ensure proper genetic counseling and to guide patients as part of long-term management.

Tree-structured Classification based on Variable Splitting

  • Ahn, Sung-Jin
    • Communications for Statistical Applications and Methods
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    • v.2 no.1
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    • pp.74-88
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    • 1995
  • This article introduces a unified method of choosing the most explanatory and significant multiway partitions for classification tree design and analysis. The method is derived on the impurity reduction (IR) measure of divergence, which is proposed to extend the proportional-reduction-in-error (PRE) measure in the decision-theory context. For the method derivation, the IR measure is analyzed to characterize its statistical properties which are used to consistently handle the subjects of feature formation, feature selection, and feature deletion required in the associated classification tree construction. A numerical example is considered to illustrate the proposed approach.

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Editing Design Features Constrained by Feature Depedencies (구속조건을 가진 디자인 피쳐의 수정)

  • Woo, Yoon-Hwan
    • Korean Journal of Computational Design and Engineering
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    • v.12 no.5
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    • pp.395-404
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    • 2007
  • Feature-based modeling and history-based modeling are the two main paradigms that are used in most of current CAD systems. Although these modeling paradigms make it easier for designers to create solid model, it may pose dependency constraints on features that are interacting one with another. When editing such features, these constraints often cause unpredictable and unacceptable results. For example, when a parent feature is deleted, the child features of the parent feature are also deleted. This entails re-generations of the deleted features, which requires additional modeling time. In order to complement this situation, we propose a method to delete only the features of interest by disconnecting the dependency constraints. This method can provide designers with more efficient way of model modification.

A Restrictive Virus Tropism, Latency and Reactivation of Pseudorabies Virus Following Irreversible Deletion of Bsrl Restriction Site in the Thymidine-kinase Gene

  • Mohd Lila Mohd Azmi;Zeenathul, Nazariah-Allaudin;Abdel-Wahid Saeed Ali;Che Abdul Rahim Mohamed;Kamarudin, Awag-Isa
    • Journal of Microbiology
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    • v.40 no.1
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    • pp.1-10
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    • 2002
  • At the dose of 1000 p.f.u. per mouse,100% mortality occurred in mice inoculated with wild-type pseudorabies virus (PrV). In contrast, upon stable deletion of 10 bp nucleotides at the Bsrl site within the TK gene, PrV was rendered to be completely apathogenic. The deletion also caused the virus to be less capable of replicating in respiratory as well as in nervous system tissues. Although animals were exposed to high titers of TK-deleted PrVs, the virus failed to replicate to a high titer as compared to the pathogenic parental virus. In contrast to previous studies the deletion in the TK gene did not prevent the virus from establishing latency. Upon immunosuppression, the latent virus? however, reactivated but replicated at low titers. Interestingly, TK-deleted virus established latency and reactivation, that are occurred only in trigeminal ganglia and the cerebrums and no other tissues involved. Following reactivation, there was no indication of virus shedding in respiratory tissues as confirmed by virus isolation and polymerase chain reaction (PCR) technique targeting at the gB gene of PrV, The non-pathogenic virus with non-shedding characteristics, upon reactivation of the latent virus, would be the important feature of a live virus vaccine candidate.

Feature Extraction of Letter Using Pattern Classifier Neural Network (패턴분류 신경회로망을 이용한 문자의 특징 추출)

  • Ryoo Young-Jae
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.2
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    • pp.102-106
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    • 2003
  • This paper describes a new pattern classifier neural network to extract the feature from a letter. The proposed pattern classifier is based on relative distance, which is measure between an input datum and the center of cluster group. So, the proposed classifier neural network is called relative neural network(RNN). According to definitions of the distance and the learning rule, the structure of RNN is designed and the pseudo code of the algorithm is described. In feature extraction of letter, RNN, in spite of deletion of learning rate, resulted in the identical performance with those of winner-take-all(WTA), and self-organizing-map(SOM) neural network. Thus, it is shown that RNN is suitable to extract the feature of a letter.

Self-Reported Speech Problems in Adolescents and Young Adults with 22q11.2 Deletion Syndrome: A Cross-Sectional Cohort Study

  • Spruijt, Nicole E.;Vorstman, Jacob A.S.;Kon, Moshe;Molen, Aebele B. Mink Van Der
    • Archives of Plastic Surgery
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    • v.41 no.5
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    • pp.472-479
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    • 2014
  • Background Speech problems are a common clinical feature of the 22q11.2 deletion syndrome. The objectives of this study were to inventory the speech history and current self-reported speech rating of adolescents and young adults, and examine the possible variables influencing the current speech ratings, including cleft palate, surgery, speech and language therapy, intelligence quotient, and age at assessment. Methods In this cross-sectional cohort study, 50 adolescents and young adults with the 22q11.2 deletion syndrome (ages, 12-26 years, 67% female) filled out questionnaires. A neuropsychologist administered an age-appropriate intelligence quotient test. The demographics, histories, and intelligence of patients with normal speech (speech rating=1) were compared to those of patients with different speech (speech rating>1). Results Of the 50 patients, a minority (26%) had a cleft palate, nearly half (46%) underwent a pharyngoplasty, and all (100%) had speech and language therapy. Poorer speech ratings were correlated with more years of speech and language therapy (Spearman's correlation=0.418, P=0.004; 95% confidence interval, 0.145-0.632). Only 34% had normal speech ratings. The groups with normal and different speech were not significantly different with respect to the demographic variables; a history of cleft palate, surgery, or speech and language therapy; and the intelligence quotient. Conclusions All adolescents and young adults with the 22q11.2 deletion syndrome had undergone speech and language therapy, and nearly half of them underwent pharyngoplasty. Only 34% attained normal speech ratings. Those with poorer speech ratings had speech and language therapy for more years.

Feature-Based Non-manifold Geometric Modeling System to Provide Integrated Environment for Design and Analysis of Injection Molding Products (사출 성형 제품의 설계 및 해석의 통합 환경을 제공하기 위한 특징 형상 기반 비다양체 모델링 시스템의 개발)

  • 이상헌;이건우
    • Korean Journal of Computational Design and Engineering
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    • v.1 no.2
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    • pp.133-149
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    • 1996
  • In order to reduce the trial-and-errors in design and production of injection molded plastic parts, there has been much research effort not only on CAE systems which simulate the injection molding process, but also on CAD systems which support initial design and re-design of plastic parts and their molds. The CAD systems and CAE systems have been developed independently with being built on different basis. That is, CAD systems manipulate the part shapes and the design features in a complete solid model, while CAE systems work on shell meshes generated on the abstract sheet model or medial surface of the part. Therefore, it is required to support the two types of geometric models and feature information in one environment to integrate CAD and CAE systems for accelerating the design speed. A feature-based non-manifold geometric modeling system has been developed to provide an integrated environment for design and analysis of injection molding products. In this system, the geometric models for CAD and CAE systems are represented by a non-manifold boundary representation and they are merged into a single geometric model. The suitable form of geometric model for any application can be extracted from this model. In addition, the feature deletion and interaction problem of the feature-based design system has been solved clearly by introducing the non-manifold Boolean operation based on 'merge and selection' algorithm. The sheet modeling capabilities were also developed for easy modeling of thin plastic parts.

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An Efficient Algorithm based on Self-Organizing Feature Maps for Large Scale Traveling Salesman Problems (대규모 TSP과제를 효과적으로 해결할 수 있는 SOFM알고리듬)

  • 김선종;최흥문
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.8
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    • pp.64-70
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    • 1993
  • This paper presents an efficient SOFM(self-organizing feature map) algorithm for the solution of the large scale TSPs(traveling salesman problems). Because no additional winner neuron for each city is created in the next competition, the proposed algorithm requires just only the N output neurons and 2N connections, which are fixed during the whole process, for N-city TSP, and it does not requires any extra algorithm of creation of deletion of the neurons. And due to direct exploitation of the output potential in adaptively controlling the neighborhood, the proposed algorithm can obtain higher convergence rate to the suboptimal solutions. Simulation results show about 30% faster convergence and better solution than the conventional algorithm for solving the 30-city TSP and even for the large scale of 1000-city TSPs.

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