• Title/Summary/Keyword: Description Model

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Anomaly Detection and Diagnostics (ADD) Based on Support Vector Data Description (SVDD) for Energy Consumption in Commercial Building (SVDD를 활용한 상업용 건물에너지 소비패턴의 이상현상 감지)

  • Chae, Young-Tae
    • Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
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    • v.12 no.6
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    • pp.579-590
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    • 2018
  • Anomaly detection on building energy consumption has been regarded as an effective tool to reduce energy saving on building operation and maintenance. However, it requires energy model and FDD expert for quantitative model approach or large amount of training data for qualitative/history data approach. Both method needs additional time and labors. This study propose a machine learning and data science approach to define faulty conditions on hourly building energy consumption with reducing data amount and input requirement. It suggests an application of Support Vector Data Description (SVDD) method on training normal condition of hourly building energy consumption incorporated with hourly outdoor air temperature and time integer in a week, 168 data points and identifying hourly abnormal condition in the next day. The result shows the developed model has a better performance when the ${\nu}$ (probability of error in the training set) is 0.05 and ${\gamma}$ (radius of hyper plane) 0.2. The model accuracy to identify anomaly operation ranges from 70% (10% increase anomaly) to 95% (20% decrease anomaly) for daily total (24 hours) and from 80% (10% decrease anomaly) to 10%(15% increase anomaly) for occupied hours, respectively.

A Study on the User Task in Resource Description & Access (RDA에 나타난 이용자 과업에 대한 연구)

  • Lee, Kyung-Ho
    • Journal of Korean Library and Information Science Society
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    • v.43 no.1
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    • pp.99-122
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    • 2012
  • This study deals with the user task that is the goal of development of RDA (Resource Description & Access), an international standard for future bibliographic description. RDA seeks to implement the user task based on FRBR-FRAD model. User task could be composed of two areas: (1) find, identify, select, and obtain of bibliographic resources in information seeking and (2) find, identify, clarify, and understand of entities related to resources (i.e., person, family, corporate, concept, etc.). This research analyzes how the resource is defined with entity, attributes, and relationship in RDA based on the conceptual model of FRBR-FRAD. And this finally shows the ways of supporting user task in RDA.

A New Distance Measure for a Variable-Sized Acoustic Model Based on MDL Technique

  • Cho, Hoon-Young;Kim, Sang-Hun
    • ETRI Journal
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    • v.32 no.5
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    • pp.795-800
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    • 2010
  • Embedding a large vocabulary speech recognition system in mobile devices requires a reduced acoustic model obtained by eliminating redundant model parameters. In conventional optimization methods based on the minimum description length (MDL) criterion, a binary Gaussian tree is built at each state of a hidden Markov model by iteratively finding and merging similar mixture components. An optimal subset of the tree nodes is then selected to generate a downsized acoustic model. To obtain a better binary Gaussian tree by improving the process of finding the most similar Gaussian components, this paper proposes a new distance measure that exploits the difference in likelihood values for cases before and after two components are combined. The mixture weight of Gaussian components is also introduced in the component merging step. Experimental results show that the proposed method outperforms MDL-based optimization using either a Kullback-Leibler (KL) divergence or weighted KL divergence measure. The proposed method could also reduce the acoustic model size by 50% with less than a 1.5% increase in error rate compared to a baseline system.

Standardized Description Method of Semiconductor IP Interfaces (반도체 IP 인터페이스의 표준화된 기술 방법)

  • Lee, Seongsoo
    • Journal of IKEEE
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    • v.18 no.3
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    • pp.349-355
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    • 2014
  • In semiconductor IP reuse, precise understanding of semiconductor IP interfaces is essential for integrated chip design. However, in general, these interfaces are described in the original designer's description style. Furthermore, their description method are not unified, so it is very difficult for the chip integration designer to understand them. This paper proposes a standardized description method of semiconductor IP interfaces. It consists of 9 items such as IP information, description level, model provision, data type, interface information, port information, signal information, protocol information, and source file. The proposed method helps the chip integration designer to understand semiconductor IP interfaces and to integrate them into a single chip.

A Comparative Study on the Description for Architectural Drawings (건축도면 아카이브의 기술요소 비교 연구)

  • Chang, Yun-Mee;Chung, Yeon-Kyoung
    • Journal of Korean Society of Archives and Records Management
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    • v.10 no.2
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    • pp.53-74
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    • 2010
  • Architectural drawings are the records containing a lot of information about constructions and an architectural drawing has a lot of technical, physical and significant uniqueness. The most important thing required to preserve and utilize architectural drawings is description. However, there is still no standard for the description of architectural drawings in Korea. Therefore this study proposes description elements for architectural drawings based upon examining a generic character of architectural drawings and analyzing several standards and guidelines that can be used as the description rule application model for architectural drawings.

Categorization and Stereotyping Toward Obese Women's Appearance

  • Lee, Seung-Hee
    • Journal of Fashion Business
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    • v.9 no.6
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    • pp.1-11
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    • 2005
  • The purpose of this study were to examine how people categorize obese individuals and if they have stereotyping about obese individuals. Twenty-five female volunteer subjects participated in this study. Subjects were undergraduate students in Textiles and Clothing courses at a midwestern university, US. Subjects were asked to give their one-word responses to four statements or questions regarding their impressions of six stimuli. The six stimuli consisted of magazine photographs of women; the magazines were general interest and fashion publications. Subjects then recorded their answers in the boxes for each of the six pictures. As the results, the relevant question as to whether or not more negative attributes would be assigned to the obese model's photographs was confirmed for the Description of Model variable, but not for the Personality of Model or for the Liking the Model variables. There was significant difference in means between the positive and negative descriptions of the Description of Model variable in the direction of negativity toward the obese group seems to confirm that, not only do people categorize others based on appearance, but there was a tendency to favor the average-size group and to view as negative the obese group.

Modeling of reinforced concrete structural members for engineering purposes

  • Mazars, Jacky;Grange, Stephane
    • Computers and Concrete
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    • v.16 no.5
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    • pp.683-701
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    • 2015
  • When approached using nonlinear finite element (FE) techniques, structural analyses generate, for real RC structures, large complex numerical problems. Damage is a major part of concrete behavior, and the discretization technique is critical to limiting the size of the problem. Based on previous work, the ${\mu}$ damage model has been designed to activate the various damage effects correlated with monotonic and cyclic loading, including unilateral effects. Assumptions are formulated to simplify constitutive relationships while still allowing for a correct description of the main nonlinear effects. After presenting classical 2D finite element applications on structural elements, an enhanced simplified FE description including a damage description and based on the use of multi-fiber beam elements is provided. Improvements to this description are introduced both to prevent dependency on mesh size as damage evolves and to take into account specific phenomena (permanent strains and damping, steel-concrete debonding). Applications on RC structures subjected to cyclic loads are discussed, and results lead to justifying the various concepts and assumptions explained.

Utilizing AI Foundation Models for Language-Driven Zero-Shot Object Navigation Tasks (언어-기반 제로-샷 물체 목표 탐색 이동 작업들을 위한 인공지능 기저 모델들의 활용)

  • Jeong-Hyun Choi;Ho-Jun Baek;Chan-Sol Park;Incheol Kim
    • The Journal of Korea Robotics Society
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    • v.19 no.3
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    • pp.293-310
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    • 2024
  • In this paper, we propose an agent model for Language-Driven Zero-Shot Object Navigation (L-ZSON) tasks, which takes in a freeform language description of an unseen target object and navigates to find out the target object in an inexperienced environment. In general, an L-ZSON agent should able to visually ground the target object by understanding the freeform language description of it and recognizing the corresponding visual object in camera images. Moreover, the L-ZSON agent should be also able to build a rich spatial context map over the unknown environment and decide efficient exploration actions based on the map until the target object is present in the field of view. To address these challenging issues, we proposes AML (Agent Model for L-ZSON), a novel L-ZSON agent model to make effective use of AI foundation models such as Large Language Model (LLM) and Vision-Language model (VLM). In order to tackle the visual grounding issue of the target object description, our agent model employs GLEE, a VLM pretrained for locating and identifying arbitrary objects in images and videos in the open world scenario. To meet the exploration policy issue, the proposed agent model leverages the commonsense knowledge of LLM to make sequential navigational decisions. By conducting various quantitative and qualitative experiments with RoboTHOR, the 3D simulation platform and PASTURE, the L-ZSON benchmark dataset, we show the superior performance of the proposed agent model.

TMUML: A Singular TM Model with UML Use Cases and Classes

  • Al-Fedaghi, Sabah
    • International Journal of Computer Science & Network Security
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    • v.21 no.6
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    • pp.127-136
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    • 2021
  • In the systems and software modeling field, a conceptual model involves modeling with concepts to support development and design. An example of a conceptual model is a description developed using the Unified Modeling Language (UML). UML uses a model multiplicity formulation approach, wherein a number of models are used to represent alternative views. By contrast, a model singularity approach uses only a single integrated model. Each of these styles of modeling has its strengths and weaknesses. This paper introduces a partial solution to the issue of multiplicity vs. singularity in modeling by adopting UML use cases and class models into the conceptual thinging machine (TM) model. To apply use cases, we adopt the observation that a use-case diagram is a description that shows the internal structure of the part of the system represented by the use case in addition to being useful to people outside of the system. Additionally, the UML class diagram is recast in TM representation. Accordingly, we develop a TMUML model that embraces the TM specification of the UML class diagram and the internal structure extracted from the UML use case. TMUML modeling introduces some of the advantages that have made UML a popular modeling language to TM modeling. At the same time, this approach supplies UML with partial model singularity. The paper details experimentation with TMUML using examples from the literature. Our results indicate that mixing UML with other models could be a viable approach.

Estimating Customer Value under B2B Environment Using Description and Prediction Models (B2B 거래에서 서술모델과 예측모델을 이용한 고객가치 산정)

  • 박찬주;박윤선;주상호;유우연
    • Korean Management Science Review
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    • v.20 no.2
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    • pp.135-149
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    • 2003
  • Developing a proper program for customer evaluation is one of the most imminent tasks to implement CRM (Customer Relationship Management). Design of the Customer Value model is an important key to the customer evaluation progrgm. This paper proposes two models for estimating Customer Value. The first one is a Description Model for Customer Value based on customer CSI (Customer Satisfaction Index) data. This model represents as quantitative numbers what customers feel from the company or the service. The second one is a Prediction Model which employs factor analysis and regression to predict customer value. This paper exploits the two models to evaluate Customer Value as well as for customer behavior prediction.