• Title/Summary/Keyword: Automatic Platform

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A Study on the Efficient Implementation Method of Cloud-based Smart Farm Control System (효율적인 클라우드 기반 스마트팜 제어 시스템 구현 방법)

  • Choi, Minseok
    • Journal of Digital Convergence
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    • v.18 no.3
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    • pp.171-177
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    • 2020
  • Under the influence of the Fourth Industrial Revolution, there are many tries to promote productivity enhancement and competitiveness by adapting smart farm technology that converges ICT technologies in agriculture. This smart farming technology is emerging as a new paradigm for future growth in agriculture. The development of real-time cultivation environment monitoring and automatic control system is needed to implement smart farm. Furthermore, the development of intelligent system that manages cultivation environment using monitoring data of the growth of crops is required. In this paper, a fast and efficient development method for implementing a cloud-based smart farm management system using a highly compatible and scalable web platform is proposed. It was verified that the proposed method using the web platform is effective and stable system implementation through the operation of the actual implementation system.

A Study on the Privacy Policy of Behavioral Advertising (행태 광고의 개인정보 조치사항에 관한 연구)

  • Kong, Hee-Kyung;Jun, Hyo-Jung;Yoon, Seokung
    • Journal of the Korea Convergence Society
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    • v.9 no.3
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    • pp.231-240
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    • 2018
  • Recently, personal information processing are becoming more important in the behavioral advertising based on online and mobile platform. The behavioral advertising analyzes and utilizes individual's search & purchase history, hobbies, and tendency based on the personal behavior information collected using the automatic collection device. Therefore, it collects and stores other types of personal information which did't defined in Privacy Act and can analyze personal behavior. This characteristics may cause disclosure of personal information and exposure to intrusion. In this paper, we investigate and analyze the privacy policy of the advertising agencies, and discussded the measures to be taken in collecting, storing and using personal information suitable for behavior information.

A Study on the Chronotope of Mobile Game (모바일 게임의 크로노토프 연구)

  • Lee, Jin
    • Journal of the Korean Society for Computer Game
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    • v.31 no.4
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    • pp.29-36
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    • 2018
  • The purpose of this paper is to examine the temporal and spatial characteristics of mobile games through Mikhail Bakhtin's chronotope concept in order to examine the changes of mobile games and gaming. Based on chronotope, a concept that refers to the inner relation between time and space reproduced in the novel, I examined the inner relation between the space - time experience in the mobile game platform and the reconstruction of the mobile game text. The mobile game builds the present-here world based on the player's will while superimposing the act of playing through the mixed platform of existence based on the player with the time and space of everyday life. The chronotope of a mobile game with players as platforms is created in the current space of now-here rather than connecting to the virtual world. In this paper, I review the role of chronotope reproduction in mobile games, focusing on role-playing games and location based games. In the mobile role-playing game, an unhistorical chronotope appears in which the player has a loose sense of distance around the automatic combat system, while the narrative and relational experience is weakened. In a location-based game, a chronotope of player-driven generation that generates amusing meanings through the overlap of the virtual world and the real world appears.

A Basic Study of Obstacles Extraction on the Road for the Stability of Self-driving Vehicles (자율주행 차량의 안전성을 위한 도로의 장애물 추출에 대한 기초 연구)

  • Park, Chang min
    • Journal of Platform Technology
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    • v.9 no.2
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    • pp.46-54
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    • 2021
  • Recently, interest in the safety of Self-driving has been increasing. Self-driving have been studied and developed by many universities, research centers, car companies, and companies of other industries around the world since the middle 1980s. In this study, we propose the automatic extraction method of the threatening obstacle on the Road for the Self-driving. A threatening obstacle is defined in this study as a comparatively large object at center of the image. First of all, an input image and its decreased resolution images are segmented. Segmented areas are classified as the outer or the inner area. The outer area is adjacent to boundaries of the image and the other is not. Each area is merged with its neighbors when adjacent areas are included by a same area in the decreased resolution image. The Obstacle area and Non Obstacle area are selected from the inner area and outer area respectively. Obstacle areas are the representative areas for the obstacle and are selected by using the information about the area size and location. The Obstacle area and Non Obstacle area consist of the threatening obstacle on the road. Through experiments, we expect that the proposed method will be able to reduce accidents and casualties in Self-driving.

A Study on Automatic Classification of Profanity Sentences of Elementary School Students Using BERT (BERT를 활용한 초등학교 고학년의 욕설문장 자동 분류방안 연구)

  • Shim, Jaekwoun
    • Journal of Creative Information Culture
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    • v.7 no.2
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    • pp.91-98
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    • 2021
  • As the amount of time that elementary school students spend online increased due to Corona 19, the amount of posts, comments, and chats they write increased, and problems such as offending others' feelings or using swear words are occurring. Netiquette is being educated in elementary school, but training time is insufficient. In addition, it is difficult to expect changes in student behavior. So, technical support through natural language processing is needed. In this study, an experiment was conducted to automatically filter profanity sentences by applying them to a pre-trained language model on sentences written by elementary school students. In the experiment, chat details of elementary school 4-6 graders were collected on an online learning platform, and general sentences and profanity sentences were trained through a pre-learned language model. As a result of the experiment, as a result of classifying profanity sentences, it was analyzed that the precision was 75%. It has been shown that if the learning data is sufficiently supplemented, it can be sufficiently applied to the online platform used by elementary school students.

Developing a semi-automatic data conversion tool for Korean ecological data standardization

  • Lee, Hyeonjeong;Jung, Hoseok;Shin, Miyoung;Kwon, Ohseok
    • Journal of Ecology and Environment
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    • v.41 no.3
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    • pp.78-84
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    • 2017
  • Recently, great demands are rising around the globe for monitoring and studying of long-term ecological changes. To go with the stream, many researchers in South Korea have attempted to share and integrate ecological data for practical use. Although some achievements were made in the meantime, we still have to overcome a big obstacle that existing ecological data in South Korea are mostly spread all over the country in various formats of computer files. In this study, we aim to handle the situation by developing a semi-automatic data conversion tool for Korean ecological data standardization, based on some predefined protocols for ecological data collection and management. The current implementation of this tool works on only five species (libythea celtis, spittle bugs, mosquitoes, pinus, and quercus mongolica), helping data managers to quickly and efficiently obtain a standardized format of ecological data from raw collection data. With this tool, the procedure of data conversion is divided into four steps: data file and protocol selection step, species selection step, attribute mapping step, and data standardization step. To find the usability of this tool, we utilized it to conduct the standardization of raw five species data collected from six different observatory sites of Korean National Parks. As a result, we could obtain a common form of standardized data in a relatively short time. With the help of this tool, various ecological data could be easily integrated into the nationwide common platform, providing broad applicability towards solving many issues in ecological and environmental system.

A Study on the Development of a Welding Carriage System for Vertical Weld (수직 용접을 위한 용접 캐리지 시스템 개발에 관한 연구)

  • Byun, Hong-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.6
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    • pp.246-254
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    • 2016
  • Thick-shell welding for super-sized oil storage tanks is currently done manually, which causes deterioration in quality and a lack of uniformity due to frequent rewelding. The limitations of the external environment must also be considered for manual welding. This paper describes the development of a carriage system for automatic vertical welding to increase reliability, reduce cost, and enhance productivity. The system consists of a welding platform, carriage device, and control unit, which were conceptually designed according to design specifications and manufactured with modular parts. In addition, the structure was analyzed for safety and to predict design problems in advance, and the results are reflected in reviewing the design. To evaluate the performance of the system, a tensile test, bending test, and weld time test were carried out, and the results were satisfactory. The time required for automatic weld was greatly improved by more than 87%, compared to the manual welding time.

Automatic Dynamic Memory Management Techniques for Memory Scarce Java system (메모리가 적은 자바 시스템을 위한 자동 동적 메모리 관리 기법)

  • Choi, Hyung-Kyu;Moon, Soo-Mook
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.8
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    • pp.378-384
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    • 2008
  • Many embedded systems are supporting Java as their software platform via Java virtual machine. Java virtual machine manages memory automatically by providing automatic memory management, i.e. garbage collector. Because only scarce memory is available to embedded system, Java virtual machine should use small memory and manage it efficiently. This paper introduces two memory management techniques to exploit small memory in Java virtual machine which can execute multiple Java applications concurrently. First, compaction based garbage collection is introduced to overcome external fragmentation problem in presence of immovable memory area. Then garbage collector driven class unloading is introduced to reduce memory use of unnecessary loaded classes. We implemented these techniques in working embedded system and observed that they are very efficient, since more Java applications are able to be executed concurrently and memory use is also reduced with these techniques.

Design of a Knowledge Framework for Structured Journalism Service based on Scientific Column Database (구조화된 저널리즘 서비스를 위한 과학 칼럼 정보 지식화 프레임워크 설계)

  • Choi, Sung-Pil;Kim, Hye-Sun;Kim, Ji-Young
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.1
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    • pp.341-360
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    • 2015
  • This paper proposes a noble service architecture based on scientific infographic as well as semi-automatic knowledge process for 'KISTI's Scent of Science' database, which has been highly credited as a science journalism service in Korea. Unlike other specialized scientific databases for domain experts and scientists, the database aims at providing comprehensible and intuitive information about various important scientific concepts which may seem not to be easily understandable to general public. In order to construct a knowledge-base from the database, we deeply analyze the traits of the database and then establish a semi-automatic approach to identify and extract various scientific intelligence from its contents. Furthermore, this paper defines a scientific infographic service platform based on the knowledge-base by offering its detailed structure, methods and characteristics, which shows a progressive future direction for science journalism service.

Software Architecture of KHU Automatic Observing Software for McDonald 30-inch telescope (KAOS30)

  • Ji, Tae-Geun;Byeon, Seoyeon;Lee, Hye-In;Park, Woojin;Lee, Sang-Yun;Hwang, Sungyong;Choi, Changsu;Gibson, Coyne A.;Kuehne, John W.;Prochaska, Travis;Marshall, Jennifer;Im, Myungshin;Pak, Soojong
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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    • pp.69.4-70
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    • 2018
  • KAOS30 is an automatic observing software for the wide-field 10-inch telescope as a piggyback system on the 30-inch telescope at the McDonald Observatory in Texas, US. The software has four packages in terms of functionality and is divided into communication with Telescope Control System (TCS), controlling of CCD camera and filter wheel, controlling of focuser, and script for automation observing. Each interconnect of those are based on exe-exe communication. The advantage of this distinction is that each package can be independently maintained for further updates. KAOS30 has an integrated control library that combines function library connecting each device and package. This ensures that the software can extensible interface because all packages are access to the control devices independently. Also, the library includes the ASCOM driver platform. ASCOM is a standard general purpose library that supports Application Programming Interface (API) of astronomical devices. We present the software architecture of KAOS30, and structure of interfacing between hardware and package or package and package.

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