• Title/Summary/Keyword: Space Communication

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'Time' in French Cultural Education (한국 대학의 FLE 문화 교육과 '시간'의 문화적 특성 - 한국과 프랑스의 음주 시간을 중심으로 -)

  • Jung, Woo-Hyang
    • Cross-Cultural Studies
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    • v.46
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    • pp.465-495
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    • 2017
  • The purpose of this study is to verify whether the concept of time conveys meanings similar to nonverbal communicative elements in foreign language education. This study surveys cultural traits of time from the French cultural education perspective. Anthropologist Edward T. Hall points out that each cultural community has developed a different perception of time and experience, and that time conveys the meaningful message nonverbally similar to the nonverbal elements such as space, gesture, eye movement, and facial expression. I investigated the time experiences of a drinking party in France and in Korea, from a cultural relativistic point of view. The subject of a drinking party was chosen on the ground that a drinking party is highly related to most people's daily lives and it also indicates how they have a relationship with others. I sought a new direction in foreign language cultural education by analyzing how cultural differences between the two communities, especially the relationships between individuals and organisations, ways to separate leisure and labor, and the nonverbal elements, are presented in the two drinking parties.

Selection of New High-maintenance Children's Activity Spaces based on Children's Life Patterns (어린이 활동양상 설문분석을 통한 신규관리 활동공간 검토)

  • Kim, Ho-Hyun;Choi, In-Seak;Nam, Yi-Hyun;Lee, Jeong-Hun;Yoo, Si-Eun;Park, Choong-Hee;Lee, Jung-Sub
    • Journal of Environmental Health Sciences
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    • v.45 no.2
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    • pp.164-172
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    • 2019
  • Objectives: This study's purpose is finding children's activity spaces that demand environmental safety management. Methods: The method of this study is analysing children's life patterns based on a questionnaire survey. Results: This study analyzed children's life patterns through a questionnaire survey. In total, 2,447 questionnaires were provided to analyze children's life patterns. The results of the questionnaire indicated a highly simple form because many children generally stayed in their home (66%) or nursery facility (2%). In the case of other facilities, playground was ranked first and amusement park was ranked second. In addition, kids cafe (including play facilities installed in shopping centers, etc.), library, and internet cafe were among the responses. Conclusions: The priority for new high-maintenance children's activity spaces are academy (rank 1), kids cafe (rank 2), indoor playground (rank 3).

System Implementation for Fair Automatic Heating Operation Based on Spatial Distributing and Zonal Calorie Measuring (공간분활 및 영역열량측정에 의한 공평 자동난방운영시스템 구현)

  • Han, Sang Cheol;Ryu, Kwang Ryol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.8
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    • pp.910-916
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    • 2019
  • This paper describes the system implementation of the heating operation based on spatial distributing and zonal calorie measuring and analyzing of houses to calculate the fair amount of the heating meterage automatically. The heating space is distributed into 4 zones, which the flow rate and calories are checked by one meter respectively. The system is composed of a heating sources, adjuster of thermostat, valve controller, PC converter and total monitering. The returning temperature in the spatial zones is measured for the heating calorie to calculate the zonal calories according to the rooms temperature. The proposed system results in error by 1% or less in comparing with the dedicated experimental equipment, and reduces energy cost by 7% from conventional system. The fair checking system will be enhanced with building energy management system in the future.

YouTube Channel Ranking Scheme based on Hidden Qualitative Information Analysis (유튜브 은닉 질적 정보 분석 기반 유튜브 채널 랭킹 기법)

  • Lee, Ji Hyeon;Oh, Hayoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.7
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    • pp.757-763
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    • 2019
  • Youtube has become so popular that it is called the age of YouTube. As the number of users and contents increase, the choice of information increases. However, it is difficult to select information that meets the needs of users. YouTube provides recommendations based on their watch list. Therefore, in this study, we want to analyze the channel of user's subject in various angles and provide the proposed scheme based on the crawled channels, measurement of the perception of channels and channel videos through quantitative data and hidden qualitative data analysis. Based on the above two data analysis, it is possible to know the recognition of the channel and the recognition of the channel video, thereby providing a ranking of the channels that deal with the topic. Finally, as a case study, we recommend English learning channels to users based on numerical data statistics and emotional analysis results to maximize flipped learning effect regardless of time and space.

Rebuilding of Image Compression Algorithm Based on the DCT (discrete cosine transform) (이산코사인변환 기반 이미지 압축 알고리즘에 관한 재구성)

  • Nam, Soo-Tai;Jin, Chan-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.1
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    • pp.84-89
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    • 2019
  • JPEG is a most widely used standard image compression technology. This research introduces the JPEG image compression algorithm and describes each step in the compression and decompression. Image compression is the application of data compression on digital images. The DCT (discrete cosine transform) is a technique for converting a time domain to a frequency domain. First, the image is divided into 8 by 8 pixel blocks. Second, working from top to bottom left to right, the DCT is applied to each block. Third, each block is compressed through quantization. Fourth, the matrix of compressed blocks that make up the image is stored in a greatly reduced amount of space. Finally if desired, the image is reconstructed through decompression, a process using IDCT (inverse discrete cosine transform). The purpose of this research is to review all the processes of image compression / decompression using the discrete cosine transform method.

Suggestion to Use Unmanned Vehicle with IoT about LoRa Network (LoRa망을 이용한 무인이동체 IoT 활용법 제안)

  • Lee, Jae-Ung;Jang, Jong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.12
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    • pp.1691-1697
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    • 2018
  • There has been a steady study of unmanned vehicle. So far, continuous research has brought news of the commercialization of unmanned vehicle. In addition, it has been applied in a variety of fields with another industry. A lot of research has been done, too, to apply inert driving indoors. Using LoRa network, which is a network dedicated to IoT, unmanned vehicle control system that is applied to LoRa network from a small space, or from an office hospital to a factory, is installed to increase efficiency when the performs special tasks. This paper presents solutions to a variety of problems by using LoRa network, which is dedicated to IoT, to recognize an unmanned vehicle as a single object, to communicate with surrounding objects, and to receive information necessary for driving indoors from a cloud server.

AHRS Sensor Data Correction for Improved Immersion in VR (VR의 몰입감 향상을 위한 AHRS 센서 데이터 값 보정)

  • Oh, Am-Suk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.11
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    • pp.1413-1420
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    • 2018
  • The VR / AR market has grown significantly due to the development of virtual reality and augmented reality in the core technology field of the 4th Industrial Revolution. Since VR is basically focused on space and time, and the human brain is very sensitive to temporal events, it is important to make accurate I / O interface technology, one of the virtual reality technologies, not to affect the brain's cognitive ability. VR depends on the technology of the hardware such as the display and the sensor for biometric signal recognition. In this paper, in order to prevent the sensitive brain from affecting the sensor device in consideration of hardware dependency of VR, it is necessary to make various corrections to lower the motion to photon (MTP) to 20m / s or less experiments on the method and filtering were carried out.

Real-Time Port Logistics Location Tracking System using IP-RFID (IP-RFID를 이용한 실시간 항만물류 위치 추적 시스템)

  • Park, Byung-Kwon;Park, Min-Sun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.11
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    • pp.1531-1537
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    • 2018
  • In maritime logistics, a large number of containers are transported to the destination through a port in the form of composite transportation such as ships, trucks, and railways. Logistics parties such as shipping companies and consignors prefer having the real-time information on the entry and exit of the logistics hubs of the freight. Particularly, a port is an important space that connects the maritime and inland areas. Hence, the interest about freight of the logistics party in port is high. This study describes tracking the location of freight by using GPS dynamically based on area type rather than point type. This presents dynamic information of location tracking when the freight enters, exits from, and passes through a certain port area. I suggest a real-time location of the container cargos tracking algorithm in port-entry, port-exit, and port inside using Active IP-RFID technology based on the location tracking algorithm of previous research.

Measurement of the Visibility of the Smoke Images using PCA (PCA를 이용한 연기 영상의 가시도 측정)

  • Yu, Young-Jung;Moon, Sang-ho;Park, Seong-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.11
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    • pp.1474-1480
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    • 2018
  • When fires occur in high-rise buildings, it is difficult to determine whether each escape route is safe because of complex structure. Therefore, it is necessary to provide residents with escape routes quickly after determining their safety. We propose a method to measure the visibility of the escape route due to the smoke generated in the fire by analyzing the images. The visibility can be easily measured if the density of smoke detected in the input image is known. However, this approach is difficult to use because there are no suitable methods for measuring smoke density. In this paper, we use principal component analysis by extracting a background image from input images and making it training data. Background images and smoke images are extracted from images given as inputs, and then the learned principal component analysis is applied to map of as a new feature space, and the change is calculated and the visibility due to the smoke is measured.

Delineation of Rice Productivity Projected via Integration of a Crop Model with Geostationary Satellite Imagery in North Korea

  • Ng, Chi Tim;Ko, Jonghan;Yeom, Jong-min;Jeong, Seungtaek;Jeong, Gwanyong;Choi, Myungin
    • Korean Journal of Remote Sensing
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    • v.35 no.1
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    • pp.57-81
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    • 2019
  • Satellite images can be integrated into a crop model to strengthen the advantages of each technique for crop monitoring and to compensate for weaknesses of each other, which can be systematically applied for monitoring inaccessible croplands. The objective of this study was to outline the productivity of paddy rice based on simulation of the yield of all paddy fields in North Korea, using a grid crop model combined with optical satellite imagery. The grid GRAMI-rice model was used to simulate paddy rice yields for inaccessible North Korea based on the bidirectional reflectance distribution function-adjusted vegetation indices (VIs) and the solar insolation. VIs and solar insolation for the model simulation were obtained from the Geostationary Ocean Color Imager (GOCI) and the Meteorological Imager (MI) sensors of the Communication Ocean and Meteorological Satellite (COMS). Reanalysis data of air temperature were achieved from the Korea Local Analysis and Prediction System (KLAPS). Study results showed that the yields of paddy rice were reproduced with a statistically significant range of accuracy. The regional characteristics of crops for all of the sites in North Korea were successfully defined into four clusters through a spatial analysis using the K-means clustering approach. The current study has demonstrated the potential effectiveness of characterization of crop productivity based on incorporation of a crop model with satellite images, which is a proven consistent technique for monitoring of crop productivity in inaccessible regions.