• Title/Summary/Keyword: Semantic structure

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General Local Transformer Network in Weakly-supervised Point Cloud Analysis (약간 감독되는 포인트 클라우드 분석에서 일반 로컬 트랜스포머 네트워크)

  • Anh-Thuan Tran;Tae Ho Lee;Hoanh-Su Le;Philjoo Choi;Suk-Hwan Lee;Ki-Ryong Kwon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.528-529
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    • 2023
  • Due to vast points and irregular structure, labeling full points in large-scale point clouds is highly tedious and time-consuming. To resolve this issue, we propose a novel point-based transformer network in weakly-supervised semantic segmentation, which only needs 0.1% point annotations. Our network introduces general local features, representing global factors from different neighborhoods based on their order positions. Then, we share query point weights to local features through point attention to reinforce impacts, which are essential in determining sparse point labels. Geometric encoding is introduced to balance query point impact and remind point position during training. As a result, one point in specific local areas can obtain global features from corresponding ones in other neighborhoods and reinforce from its query points. Experimental results on benchmark large-scale point clouds demonstrate our proposed network's state-of-the-art performance.

Lived Experience of Kidney Transplant Recipients with Kidney Graft Failure (이식신장의 기능부전을 경험한 환자의 질병체험)

  • Hwang, Younghui;Min, Kyoungok;Son, Haeng-Mi
    • Journal of Korean Academy of Nursing
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    • v.54 no.1
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    • pp.93-105
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    • 2024
  • Purpose: The study aimed to understand the semantic structure and nature of the disease experience of kidney transplant recipients with kidney graft failure by applying phenomenological research methods. Methods: Data were collected between February and September 2021 through individual in-depth interviews with 12 kidney transplant recipients with kidney graft failure. Colaizzi's phenomenological analysis was used to analyze the meaning of the participants' illness experiences. Results: 5 theme clusters and 15 themes were derived. The five theme clusters are as follows: (1) First transplant giving me a second life; (2) Body and mind becoming sick again; (3) Waiting for a re-transplant with hope and worry; (4) Life supported by gratefulness; (5) Having control over my own life. Conclusion: This study shows that kidney transplant recipients with kidney graft failure experience physical and psychological difficulties during the long disease period and require help from many people, including family members, friends, colleagues, and health care providers, to overcome their difficulties.

The Semantic Structure of Synaptic Activation, Likened to Cho Ji-Hoon's Poem 'Line' (조지훈의 시 「선(線)」으로 비유되는 시냅스 활성화의 의미 구조)

  • Park, In-kwa
    • The Journal of the Convergence on Culture Technology
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    • v.3 no.4
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    • pp.21-26
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    • 2017
  • The purpose of this study was to analyze the structure of neurophysiological healing in Cho Ji-Hoon's poem "Line" and to use it in literature therapy program. Research shows that action potentials in the human body represent the mind. In other words, the electric charges appear to be the signs of the mind, and the action potentials of all the charges of the human body are integrated together to systematize the mind. Cho Ji-Hoon's poem "Line" resembles the process of collecting, analyzing, synthesizing and reproducing information, which is the function of the human neurophysiological synapse. This is a useful form of poetry in terms of its application to literary therapy programs. If we develop such a form of literary therapy program as Cho Ji-Hoon's poem, it will be more effective in healing process.

Meta-Modeling to Detect Attack Behavior for Security (보안을 위한 공격 행위 감지 메타-모델링)

  • On, Jinho;Choe, Yeongbok;Lee, Moonkun
    • Journal of KIISE
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    • v.41 no.12
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    • pp.1035-1049
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    • 2014
  • This paper presents a new method to detect attack patterns in security-critical systems, based on a new notion of Behavior Ontology. Generally security-critical systems are large and complex, and they are subject to be attacked in every possible way. Therefore it is very complicated to detect various attacks through a semantic structure designed to detect such attacks. This paper handles the complication with Behavior Ontology, where patterns of attacks in the systems are defined as a sequences of actions on the class ontology of the systems. We define the patterns of attacks as sequences of actions, and the attack patterns can then be abstracted in a hierarchical order, forming a lattice, based on the inclusion relations. Once the behavior ontology for the attack patterns is defined, the attacks in the target systems can be detected both semantically and hierarchically in the ontology structure. When compared to other attack models, the behavior ontology analysis proposed in this paper is found to be very effective and efficient in terms of time and space.

An Object Extraction Technique for Object Reusability Improvement based on Legacy System Interface (객체 재사용성 향상을 위한 레거시 시스템 인터페이스 기반 객체추출 기법)

  • 이창목;유철중;장옥배
    • Journal of KIISE:Software and Applications
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    • v.31 no.11
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    • pp.1455-1473
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    • 2004
  • This paper suggests a technique, TELOR(Technique of Object Extraction Based on Legacy System Interface for Improvement of Object Reusability) for reuse and reengineering by analyzing the Legacy System interface to distill the meaningful information from them and disassemble them into object units which are to be integrated into the next generation systems. The TELOR method consists of a 4 steps procedure: 1) the interface use case analysis step, 2) the interface object dividing step, 3) the object structure modeling step, and 4) the object model integration step. In step 1, the interface structure and information about the interaction between the user and the Legacy System are obtained. In step 2, the interface information is divided into semantic fields. In step 3, studies and models the structural and collaborative relationship among interface objects. Finally, in step 4, object model integration step, integrates the models and improves the integrated model at a higher level. The objects integration model created through TELOR provides a more efficient understanding of the Legacy System and how to apply it to next generation systems.

The Effect of Elements of Apparel Design on Impression Formation Part I : Emphasis on the Effect of Form and Color of Cloths (의상디자인요소가 의복착용자의 인상에 미치는 영향(제1보) -의복 형태와 색채의 영향을 중심으로-)

  • 이주현;조긍호
    • Journal of the Korean Society of Clothing and Textiles
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    • v.19 no.5
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    • pp.747-764
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    • 1995
  • The purpose of the present study were 1) to identify the dimensional structure of impression formed of a female figure, 2) to analyze effects of several elements of apparel design on impression formation of the figure in suit. The experimental materials developed for this study were a set of stimuli and a response scale. The stimuli consisted of 60 drawings made by identical manipulations of 3 indepndent variables in 3 clothing styles(suit, dress and pants with blouse). The independent variables were (1) five clothing colors (red, blue, yellow, white and black), (2) two lengths(short/long) of suit skirt, dress, and pants (3) two types of blouse and dress collars (shirt collar/ribbon collar). The 7-point semantic differential response scale to measure the dependent variables (formed impressions of the female figure) was composed of 37 bipolar adjectives. Further- more, two open-ended questions were used for interpretation of the reponses. The study proceeded in three independent experimental part was based on the 3 clothing styles using a 5(color)$\times$2(length)$\times$2(collar) factorial design. Subject were 200 female undergraduate students reandomly assigned to one of 20 combinations in each part of the experiment. The data were analyzed by factor analysis, 3-way ANOVA and Multiple Classification Analysis. Five factors emerged to account for the dimensional structure of impression of the female figure in specific attire. These factors included three basic dimensions of impression identified as potency, activity and evaluation, confirming the results of previous studies. Result from open-ended questionaire supported the theoretical perspective of Schneider, Hastorf and Ellsworth on the procedure of impression formation.

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A Study on the Transformal Usage of Visual Information in Architectural Diagrams - Focusing on the Projects by Rem Koolhaas and MVRDV - (건축다이어그램에 나타난 시각정보의 변음방식에 관한 연구 - 렘 쿨하스와 MVRDV의 프로젝트를 중심으로 -)

  • Park, Young-Ho
    • Korean Institute of Interior Design Journal
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    • v.17 no.6
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    • pp.71-81
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    • 2008
  • The purposes of this research are to correctly understand the relationship between a visual communication structure and a semantic communication structure when integrating and changing various architectural visual information. This study will classify various diagrams, which have been actively applied to the works of Rem Koolhaas and MVRDV when designing architecture, and based on the classification, it will analyze how the expression viewpoints inherent in the diagrams are changed and applied to processing and changing architectural visual information. The transformal usage of the visual information of architectural diagrams is classified into an analysis-centered processing method and a concept-centered processing method, and the characteristics of their usage are analyzed. The former shows an observer-centered expression viewpoint which effectively delivers an architect's analyzed architectural information or intent to a customer or an observer. It also allows an easy perception of the analyzed data, and uses qualitative expression viewpoints. The method combines systematic expression viewpoints, which value a relationship with visual information, and various architectural visual information; uses the combined expression viewpoints as one diagram for delivering various information simultaneously and for changing visual information. The latter shows author-centered subjective expression viewpoints, which are different from reproduction-centered fixed expression viewpoints. This method uses arbitrary expression viewpoints that overly extort, change or manipulate visual information. It shows simultaneous expression viewpoints that integrate various architectural visual information via omniscient expression viewpoints, such as reversing or projecting the points of viewing subjects, which human beings cannot perceive.

Similarity Evaluation of Popular Music based on Emotion and Structure of Lyrics (가사의 감정 분석과 구조 분석을 이용한 노래 간 유사도 측정)

  • Lee, Jaehwan;Lim, Hyewon;Kim, Hyoung-Joo
    • KIISE Transactions on Computing Practices
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    • v.22 no.10
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    • pp.479-487
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    • 2016
  • People can listen to almost every type of music by music streaming services without possessing music. Ironically it is difficult to choose what to listen to. A music recommendation system helps people in making a choice. However, existing recommendation systems have high computation complexity and do not consider context information. Emotion is one of the most important context information of music. Lyrics can be easily computed with various language processing techniques and can even be used to extract emotion of music from itself. We suggest a music-level similarity evaluation method using emotion and structure. Our result shows that it is important to consider semantic information when we evaluate similarity of music.

A Method for Non-redundant Keyword Search over Graph Data (그래프 데이터에 대한 비-중복적 키워드 검색 방법)

  • Park, Chang-Sup
    • The Journal of the Korea Contents Association
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    • v.16 no.6
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    • pp.205-214
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    • 2016
  • As a large amount of graph-structured data is widely used in various applications such as social networks, semantic web, and bio-informatics, keyword-based search over graph data has been getting a lot of attention. In this paper, we propose an efficient method for keyword search over graph data to find a set of top-k answers that are relevant as well as non-redundant in structure. We define a non-redundant answer structure for a keyword query and a relevance measure for the answer. We suggest a new indexing scheme on the relevant paths between nodes and keyword terms in the graph, and also propose a query processing algorithm to find top-k non-redundant answers efficiently by exploiting the pre-calculated indexes. We present effectiveness and efficiency of the proposed approach compared to the previous method by conducting an experiment using a real dataset.