• Title/Summary/Keyword: 장소이동

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Place-shifting of TV Content by the Use of Slingbox and the Copyright (슬링박스를 이용한 TV프로그램의 장소이동 시청의 저작권법상의 성격)

  • Cho, Youn-Ha
    • The Journal of the Korea Contents Association
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    • v.13 no.7
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    • pp.158-167
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    • 2013
  • This research examines the legal liability of place-shifting of TV contents by the use of the Slingbox. The place-shifting of TV contents is fair use because it is a non-commercial private use based on the relevant case law regarding time-shifting and device-shifting such as Sony, RIAA and Napster. But the sharing of place-shifting function is likely to be liable for copyright infringement. And place-shifting may not be fair use based on the cases which denied fair use of time-shifting and space-shifting because the consumers' convenience for the use of the copyrighted work is against the purpose of legislation of copyright law. Place-shifting is unlikely to have a significant effect on the potential market for TV contents because it presents lucrative new platforms to disseminate TV contents to computers and mobile devices. However it is likely to have negative effect because various devices can be the follow-up marketplaces of the copyright holders of TV contents. This study proposes the "innovative medium defense," a new doctrine to analyze liability of innovative media.

Real-Time Place Recognition for Augmented Mobile Information Systems (이동형 정보 증강 시스템을 위한 실시간 장소 인식)

  • Oh, Su-Jin;Nam, Yang-Hee
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.5
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    • pp.477-481
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    • 2008
  • Place recognition is necessary for a mobile user to be provided with place-dependent information. This paper proposes real-time video based place recognition system that identifies users' current place while moving in the building. As for the feature extraction of a scene, there have been existing methods based on global feature analysis that has drawback of sensitive-ness for the case of partial occlusion and noises. There have also been local feature based methods that usually attempted object recognition which seemed hard to be applied in real-time system because of high computational cost. On the other hand, researches using statistical methods such as HMM(hidden Markov models) or bayesian networks have been used to derive place recognition result from the feature data. The former is, however, not practical because it requires huge amounts of efforts to gather the training data while the latter usually depends on object recognition only. This paper proposes a combined approach of global and local feature analysis for feature extraction to complement both approaches' drawbacks. The proposed method is applied to a mobile information system and shows real-time performance with competitive recognition result.

Lookahead Place Memory for Vision-Language Navigation Tasks (시각-언어 이동 작업을 위한 장소 미리보기 메모리)

  • Oh, Suntaek;Kim, Incheol
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.992-995
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    • 2020
  • 시각-언어 이동 작업은 에이전트가 주어진 지시를 따라 특정 실내 공간 내에서 목적 위치로 이동하는 작업이다. 시각-언어 이동 작업의 특성상 자연어 지시 속에 등장하는 랜드마크인 장소 정보를 인지하는 것은 작업을 수행하는 데 큰 도움이 된다. 본 논문에서는 환경을 구성하는 주요 장소 정보를 저장하기 위한 장소 미리보기 메모리를 제안한다. 에이전트는 장소 미리보기 메모리에 저장된 장소 정보를 고려하여 작업을 수행하게 된다. 본 논문에서는 Matterport3D 시뮬레이션 환경에서의 실험을 통해 R2R 벤치마크 데이터 집합에서 가장 높은 성능을 보였다.

A MapReduce-Based Distributed Data Mining Approach to Next Place Prediction for Mobile Users (이동 사용자의 다음 장소 예측을 위한 맵리듀스 기반의 분산 데이터 마이닝)

  • Kim, Jong-Hwan;Lee, Seok-Jun;Kim, In-Cheol
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.04a
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    • pp.777-780
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    • 2014
  • 본 논문에서는 휴대용 기기 사용자들의 이동 궤적을 기록한 대용량의 GPS 위치 데이터 집합으로부터 각 사용자의 이동 패턴 모델을 학습해내고, 이 모델을 적용하여 각 사용자의 다음 방문 장소를 효율적으로 예측할 수 있는 맵리듀스 기반의 분산 데이터 마이닝 시스템을 소개한다. 본 시스템은 크게 사용자별 이동 패턴 모델을 학습하는 후단부와 실시간으로 다음 방문 장소를 예측하는 전단부로 구성된다. 이 중에서 후단부는 주요 장소 추출, 이동 궤적 변환, 이동 패턴 모델 학습 등 총 3개의 맵리듀스 작업 모듈들로 구성된다. 이에 반해, 본 시스템의 전단부는 이동 경로 후보군 생성, 다음 장소 예측 등 총 2개의 맵리듀스 작업 모듈들로 구성된다. 그리고 본 시스템을 구성하는 각각의 작어마다 분산처리를 극대화할 수 있도록 맵과 리듀스 함수를 설계하였다. 끝으로, 대용량의 GeoLife 벤치마크 데이터 집합을 이용하여 본 논문에서 소개한 시스템의 예측 성능을 분석하기 위한 실험을 수행하였고, 이를 통해 본 시스템의 높은 성능을 확인할 수 있었다.

The method for extraction of meaningful places based on behavior information of user (실생활 정보를 이용한 사용자의 의미 있는 장소 추출 방법)

  • Lee, Seung-Hoon;Kim, Bo-Keong;Yoon, Tae-Bok;Lee, Jee-Hyong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.4
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    • pp.503-508
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    • 2010
  • Recently, the advance of mobile devices has made various services possible beyond simple communication. One of services is the predicting the future path of users and providing the most suitable location based service based on the prediction results. Almost of these prediction methods are based on previous path data. Thus, calculating similarities between current location information and the previous trajectories for path prediction is an important operation. The collected trajectory data have a huge amount of location information generally. These information needs the high computational cost for calculating similarities. For reducing computational cost, the meaningful location based trajectory model approaches are proposed. However, most of the previous researches are considering only the physical information such as stay time and the distance for extracting the meaningful locations. Thus, they will probably ignore the characteristics of users for meaningful location extraction. In this paper, we suggest a meaningful location extracting and trajectory simplification approach considering the stay time, distance, and additionally interaction information of user. The method collects the location information using GPS device and interaction information between the user and the others. Using these data, the proposed method defines the proximity of the people who are related with the user. The system extracts the meaningful locations based on the calculated proximities, stay time and distance. Using the selected meaningful locations the trajectories are simplified. For verifying the usability of the proposed method, we collect the behavioral data of smart phone users. Using these data, we measure the suitability of meaningful location extraction method, and the accuracy of prediction approach based on simplified trajectories. Following these result, we confirmed the usability of proposed method.

Design of a MapReduce-Based Mobility Pattern Mining System for Next Place Prediction (다음 장소 예측을 위한 맵리듀스 기반의 이동 패턴 마이닝 시스템 설계)

  • Kim, Jongwhan;Lee, Seokjun;Kim, Incheol
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.8
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    • pp.321-328
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    • 2014
  • In this paper, we present a MapReduce-based mobility pattern mining system which can predict efficiently the next place of mobile users. It learns the mobility pattern model of each user, represented by Hidden Markov Models(HMM), from a large-scale trajectory dataset, and then predicts the next place for the user to visit by applying the learned models to the current trajectory. Our system consists of two parts: the back-end part, in which the mobility pattern models are learned for individual users, and the front-end part, where the next place for a certain user to visit is predicted based on the mobility pattern models. While the back-end part comprises of three distinct MapReduce modules for POI extraction, trajectory transformation, and mobility pattern model learning, the front-end part has two different modules for candidate route generation and next place prediction. Map and reduce functions of each module in our system were designed to utilize the underlying Hadoop infrastructure enough to maximize the parallel processing. We performed experiments to evaluate the performance of the proposed system by using a large-scale open benchmark dataset, GeoLife, and then could make sure of high performance of our system as results of the experiments.

Urban Machine Space as (Non-)Place: Interpreting Semiotic Representations of Subway Space in Daegu ((비-)장소로서 도시 기계 공간 -대구 지하철 공간의 기호적 재현에 대한 해석-)

  • Lee, Hee-Sang
    • Journal of the Korean Geographical Society
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    • v.44 no.3
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    • pp.301-322
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    • 2009
  • This paper is an attempt to explore semiotic representations of subway space as the urban machine space of local mobility in terms of space, time and place. For this, the second section of the paper reviews the contours of the urban space of mobility in terms of 'machine space', 'non-place' and 'cognitive map'. The third section interprets the sings of 'spatial' and 'temporal' representations of subway space in Daegu, and suggests the implications of the semiotic representations. It is uncovered that various sign-scapes which coexist in the subway space in coordinated or contradictory ways product the space into multiple and complex techno-social spaces. That is, the spatio-temporal representations of the subway space form the space of 'non-place' on the one hand and the space of 'place' on the other hand, and involve the spatialization of 'memory' on the one hand and the spatialization of 'forgetting' on the other hand. Thus, the subway space should be regarded to be not only the space of 'mobility' which people move in and through, but also the space of 'identity' which has effects on the ways for them to see the machine space and its urban space.

시외버스 유동량으로 본 지역간 연계구조

  • 임석희
    • Proceedings of the KGS Conference
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    • 2003.11a
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    • pp.144-148
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    • 2003
  • 1) 연구의 배경와 목적 정보통신기술의 비약적 발전은 공간이동에 있어서 '거리' 개념의 근본적인 변화를 가져오고 있다. 흔히 '시간에 의한 공간소멸' 또는 '시공간 압축'이라고 표현되는 그와 같은 변화는 일상적 생활공간에서뿐만 아니라 전지구적 범위에 이르기까지 장소와 장소, 지역과 지역 간에 발생하는 정보의 흐름을 실시간(real time)으로 연결한다. 그러나 정보통신기술의 발달이 장소와 장소, 지역과 지역 간에 발생하는 모든 통행을 대체하지는 못한다. (중략)

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Mobilities and Phenomenology of Place, A Perspective for the Popular Narrative Studies -David Seamon's Life Takes Place (모빌리티와 장소 현상학, 대중서사 연구의 한 관점 -데이비드 시먼의 『삶은 장소에서 일어난다』를 중심으로)

  • Kim, Tae-Hee
    • Journal of Popular Narrative
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    • v.25 no.4
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    • pp.469-506
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    • 2019
  • More than a few existing studies on popular narratives that pay attention to 'place' tend to adopt as their theoretical framework the celebrated distinction between space and place. According to this distinction, to put it simply, space is allegedly mobile, whereas place is static. Given this distinction, and in this age of high-mobility, where the spaces of mobilities seem to rapidly and extensively undermine the places of immobilities, would studies on popular narratives focusing on 'place' still remain convincing? Referring to David Seamon's recent book Life Takes Place: Phenomenology, Lifeworlds, and Place Making, this article aims to consider the possibility of studies on popular narratives in the era of high-mobility. To explore the concept of 'place' through phenomenological methodology, Seamon's book uses a theoretical framework called the 'progressive approximation,' which is attentive to synergistic relationality. According to this approach, the place should first be put under scrutiny as a whole, i.e. as the monad of place. Phenomenological studies on the monad of place as a whole identify places as the fundamental condition for human beings. Then, in accordance with the 'progressive' order of research, places are studied as dyads, i.e. as binary oppositions. Through these analyses, movement/rest, insideness/outsideness, the ordinary/the extra-ordinary, the within/the without, homeworld/alienworld are identified as the five dyads of place. To make a detour around these binary oppositions and confrontations, however, phenomenological studies on place now advance to the higher order of six place triads including place interaction, place identity, place release, place realization, place intensification, and place creation, whereby the study of place progressively approaches the 'approximate' essence of place. Reflectively asking himself about the idea of 'place' in the high-mobility era, the author of this informative and insightful book submits an answer that place is still the fundamental sine qua non of human beings. However, this answer is more likely to be bounded by the binary opposition of space/place, and movement/rest accordingly. In this article, I suggest as an alternative and hopefully more promising answer a perspective of transcending this kind of a dead-end dichotomy and of performing 'place-making' through the mobilities themselves, while presenting a noticeable example of the manner in which research on popular narratives could begin from this perspective.

Meaningful Location Extraction Method for User Path Prediction (이동 경로 예측을 위한 의미 있는 장소 추출 방법)

  • Kim, Jaekwang;Lee, Seunghoon;Lee, Jee-Hyong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.04a
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    • pp.321-323
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    • 2012
  • 최근 모바일 기기 보급의 확산과 관련 기술의 발전으로 인해 사용자의 편의를 제공하는 다양한 서비스들이 제공되고 있다. 이러한 서비스 중에서 대표적인 것으로 사용자의 이동 경로를 파악하고 예측하여 알맞은 위치기반서비스(Location-based Service; LBS)를 제공하는 것이다. 위치기반서비스를 제공하기 위한 가장 핵심 기술은 사용자의 이동 경로를 파악하는 것인데, 기존의 이동 경로 파악 기술은 이전의 이동 경로 자료를 기반으로 현재 이동 경로를 유추하였다. 그러나 이전의 이동 경로 자료가 점점 증가함에 따라 방대한 자료를 보관하고 가공하는데 많은 비용이 발생하는 문제점이 있다. 본 논문에서는 이동 경로를 예측하기 위한 방법으로 사용자가 일정 지점에 머무는 시간 정보, 이동 거리 그리고 다른 사용자와의 소통 정보를 활용한다. 이 정보들을 활용하여 사용자에게 의미 있는 장소를 추출하고 이를 기반으로 사용자의 이동 경로를 예측할 때, 기존 방법과 비교하여 적은 비용으로 효과적인 경로 예측을 할 수 있다.