• Title/Summary/Keyword: attribute of the time(時間屬性)

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Temporal_based Video Retrival System (시간기반 비디오 검색 시스템)

  • Lee, Ji-Hyun;Kang, Oh-Hyung;Na, Do-Won;Lee, Yang-Won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.631-634
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    • 2005
  • Traditional database systems have been used models supported for the operations and relationships based on simple interval. video data models are required in order to provide supporting temporal paradigm, various object operations and temporal operations, efficient retrieval and browsing in video model. As video model is based on object-oriented paradigm, I present entire model structure for video data through the design of metadata which is used of logical schema of video, attribute and operation of object, and inheritance and annotation. by using temporal paradigm through the definition of time point and time interval in object-oriented based model, we can use video information more efficiently by time variation.

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A Study on Temporal Data Models and Aggregate Functions (시간지원 데이터 모델 및 집계함수에 관한 연구)

  • Lee, In-Hong;Moon, Hong-Jin;Cho, Dong-Young;Lee, Wan-Kwon;Cho, Hyun-Joon
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.12
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    • pp.2947-2959
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    • 1997
  • Temporal data model is able to handle the time varying information, which is to add temporal attributes to conventional data model. The temporal data model is classified into three models depending upon supporting time dimension, that are the valid time model to support valid time, the transaction time model to support transaction model, and the bitemporal data model to support valid time and transaction time. Most temporal data models are designed to process the temporal data by extending the relational model. There are two types or temporal data model, which are the tuple timestamping and the attribute timestamping depending on time dimension. In this research, a concepts of temporal data model, the time dimension, types of thc data model, and a consideration for the data model design are discussed Also, temporal data models in terms of the time dimension are compared. And the aggregate function model of valid time model is proposed, and then logical analysis for its computing consts has been done.

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A Study on Game Character Classification Based on Texture and Edge Orientation Feature (질감 및 에지 방향 특징에 기반한 게임 캐릭터 분류에 관한 연구)

  • Park, Chang-Min
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.6
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    • pp.1318-1324
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    • 2012
  • This paper proposes a novel method for Game character classification based on texture and edge orientation feature. The character dose not move(NPC) and move the character is classified. Classification of property within the character of straight line segments are used to extract features. First, the character inside edge feature extraction and then calculates EEDH, SSPD. The extracted attribute represents the energy of a particular direction. Thus, these properties were used to classify of NPC and Monster. The proposed method, the user can reduce the unnecessary time in the game.

Providing Service Model Based on Concept and Requirements of Spatial Big Data (공간 빅데이터의 개념 및 요구사항을 반영한 서비스 제공 방안)

  • Kim, Geun Han;Jun, Chul Min;Jung, Hui Cheul;Yoon, Jeong Ho
    • Journal of Korean Society for Geospatial Information Science
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    • v.24 no.4
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    • pp.89-96
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    • 2016
  • By reviewing preceding studies of big data and spatial big data, spatial big data was defined as one part of big data, which spatialize location information and systematize time series data. Spatial big data, as one part of big data, should not be separated with big data and application methods within the system is to be examined. Therefore in this study, services that spatial big data is required to provide were suggested. Spatial big data must be available of various spatial analysis and is in need of services that considers present and future spatial information. Not only should spatial big data be able to detect time series changes in location, but also analyze various type of big data using attribute information of spatial data. To successfully provide the requirements of spatial big data and link various type of big data with spatial big data, methods of forming sample points and extracting attribute information were proposed in this study. The increasing application of spatial information related to big data is expected to attribute to the development of spatial data industry and technological advancement.

Temporal Video Modeling of Cultural Video (교양비디오의 시간지원 비디오 모델링)

  • 강오형;이지현;고성현;김정은;오재철
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05b
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    • pp.439-442
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    • 2004
  • Traditional database systems have been used models supported for the operations and relationships based on simple interval. video data models are required in order to provide supporting temporal paradigm, various object operations and temporal operations, efficient retrieval and browsing in video model. As video model is based on object-oriented paradigm, 1 present entire model structure for video data through the design of metadata which is used of logical schema of video, attribute and operation of object, and inheritance and annotation. by using temporal paradigm through the definition of time point and time interval in object-oriented based model, we tan use video information more efficiently by me variation.

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An Empirical Comparison Study on Attack Detection Mechanisms Using Data Mining (데이터 마이닝을 이용한 공격 탐지 메커니즘의 실험적 비교 연구)

  • Kim, Mi-Hui;Oh, Ha-Young;Chae, Ki-Joon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.2C
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    • pp.208-218
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    • 2006
  • In this paper, we introduce the creation methods of attack detection model using data mining technologies that can classify the latest attack types, and can detect the modification of existing attacks as well as the novel attacks. Also, we evaluate comparatively these attack detection models in the view of detection accuracy and detection time. As the important factors for creating detection models, there are data, attribute, and detection algorithm. Thus, we used NetFlow data gathered at the real network, and KDD Cup 1999 data for the experiment in large quantities. And for attribute selection, we used a heuristic method and a theoretical method using decision tree algorithm. We evaluate comparatively detection models using a single supervised/unsupervised data mining approach and a combined supervised data mining approach. As a result, although a combined supervised data mining approach required more modeling time, it had better detection rate. All models using data mining techniques could detect the attacks within 1 second, thus these approaches could prove the real-time detection. Also, our experimental results for anomaly detection showed that our approaches provided the detection possibility for novel attack, and especially SOM model provided the additional information about existing attack that is similar to novel attack.

Representation and History Management of Spatio-Temporal Objects using a Gothic GIS Tool (고딕 GIS 도구를 이용한 시공간 객체의 표현과 이력관리)

  • Paik, Ju-Yeon;Lee, Seong-Jong;Ryu, Keun-Ho
    • Journal of KIISE:Databases
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    • v.27 no.1
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    • pp.101-112
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    • 2000
  • In Geographic Information System, spatial object can be changed in the attribute information, spatial location and the topological relation between them with the change of time. However traditional GIS deletes the old value of aspatial information and replaces them with new value. Therefore. it is difficult to manage thc history of changed spatial object and can not support the spatio-temporal queries including temporal queries. In this paper, we propose a spatio-temporal objected model to solve this problem. We implement the proposed model with spatio-temporal class using Gothic GIS tool. The historical information of an object is stored into the object itself for the effective history management. And, in order to provide the queries for the history of an object and spatio-temporal relationship, we add temporal operators, spatio-temporal operators, and spatio-temporal query operations into Gothic, and improve the facility of the Gothic.

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Analysis of Learning Opportunities Provided in Elapsed Time Instruction: Focusing on Quantitative Objectification (경과시간 수업에서 제공되는 학습기회 분석: 양적 대상화를 중심으로)

  • Han, Chaereen
    • Education of Primary School Mathematics
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    • v.24 no.4
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    • pp.203-216
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    • 2021
  • Seeing the elapsed time as a quantity that can be measured is quite challenging for students while making students see it is also challenging for teachers. Tuning on these challenges, this article reports on what learning opportunities elementary teachers provide when they teach elapsed time focusing on quantitative objectification. I observed three mathematics classrooms where the elapsed time was taught by three elementary teachers and did a narrative analysis on the instructions. All three teachers utilized certain tools to support students access to the elapsed time as a quantity. They appropriated various quantitative attributes of the tool. In the case of the analog clock, one teacher tried to quantification the elapsed time with the number of minute hand's turning, while the other teacher indicated the distance of minute hand's moving. One teacher represented the elapsed time with the longitudinal attribute of the time band. Standing on the findings, the didactical implications of various attempts for quantitative objectification of the elapsed time implemented were discussed.

Design of Smart Platform based on Image Recognition for Lifelog (라이프로그용 영상인식 기반의 스마트 플랫폼 설계)

  • Choi, Youngho
    • Journal of Internet Computing and Services
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    • v.18 no.1
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    • pp.51-55
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    • 2017
  • In this paper, we designed a LBS-based smart platform for Lifelog service that can utilize the other's lifelog information. The conventional Lifelog service means that the system records the daily activities of the smart device user so the user can retrieve the early-recorded information later. The proposed Lifelog service platform uses the GPS/UFID location information and the various information extracted from the image as the lifelog data. Further, the proposed Lifelog platform using DB can provide the user with the Lifelog data recorded by the other service user. The system usually provide the other's Lifelog data within the 500m distance from the user and the range of distance can be adjustable. The proposed smart platform based on image recognition for Lifelog can acquire the image from the smart device directly and perform the various image recognition processing to produce the useful image attributes. And it can store the location information, image data, image attributes and the relevant web informations on the database that can be retrieved by the other use's request. The attributes stored and managed in the image information database consist of the followings: Object ID, the image type, the capture time and the image GPS coordinates. The image type attribute has the following values: the mountain, the sea, the street, the front of building, the inside of building and the portrait. The captured image can be classified into the above image type by the pattern matching image processing techniques and the user's direct selection as well. In case of the portrait-attribute, we can choose the multiple sub-attribute values from the shirt, pant, dress and accessory sub-attributes. Managing the Lifelog data in the database, the system can provide the user with the useful additional services like a path finding to the location of the other service user's Lifelog data and information.

Decision Method of Importance of E-Mail based on User Profiles (사용자 프로파일에 기반한 전자 메일의 중요도 결정)

  • Lee, Samuel Sang-Kon
    • The KIPS Transactions:PartB
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    • v.15B no.5
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    • pp.493-500
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    • 2008
  • Although modern day people gather many data from the network, the users want only the information needed. Using this technology, the users can extract on the data that satisfy the query. As the previous studies use the single data in the document, frequency of the data for example, it cannot be considered as the effective data clustering method. What is needed is the effective clustering technology that can process the electronic network documents such as the e-mail or XML that contain the tags of various formats. This paper describes the study of extracting the information from the user query based on the multi-attributes. It proposes a method of extracting the data such as the sender, text type, time limit syntax in the text, and title from the e-mail and using such data for filtering. It also describes the experiment to verify that the multi-attribute based clustering method is more accurate than the existing clustering methods using only the word frequency.