• Title/Summary/Keyword: Computer software fields

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Analysis on the International Comparison of Computer Education in Schools (국외 컴퓨터 교육과정의 변화 분석)

  • Sung, Jung Sook;Kim, Hyeoncheol
    • The Journal of Korean Association of Computer Education
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    • v.18 no.1
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    • pp.45-54
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    • 2015
  • A whole society has become software-driven and each independent fields has become convergence based on computing as the new digital economy era has come. This change affect computational literacy using computational thinking is emphasized the importance as the core competence for the future living. It means that supply of manpower with understanding software principle will decide the fate of the country. For this reason, each country are reinforcing computer science education or computing education. In this paper, we researched and analysed on new global trends of computer education in school especially focused on national curriculum and policy.

Development of Smart Safety Management System using IoT based assistant equipment for Industrial Fields (산업현장에서 IoT 기반의 작업자 보조기기를 활용한 스마트 안전 관리 시스템 개발)

  • Kim, Ju-Su;Umarov, Jamshid;Kim, Deo-Hoo;Lee, Chol-U;Oh, Ryum-Duck
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2015.01a
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    • pp.93-94
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    • 2015
  • 최근 산업 현장에서 재해는 설비의 다양화, 인적 구성의 복잡성, 작업환경의 변화 등으로 다양하게 발생되고 있다. 특히 경제적 자립도가 취약한 중소기업에서는 관리능력이 미흡하여 안전에 대한 조직 및 관리, 교육 등이 큰 문제점으로 대두되고 있다. 우리나라의 안전관리의 현실은 대기업 중심으로 이루어지고 있는 실정이나 재해율은 일본 등 주변국보다 2~4배 높은 수준으로 선진국에 비해 아직도 매우 심각한 문제이다. 한편, 환경과 재난방지, 헬스케어 등과 같은 분야에 널리 활용되고 있는 고도화된 IoT 기술은 최근 빌딩, 도시 관제 시스템뿐만 아니라 산업 현장의 설비와 인력관리 등 IoT 기술의 활용이 활발해지는 추세다. 본 논문에서는 IoT를 활용한 기술 개발을 통해 다양한 분야의 산업현장에 산재하고 있는 각종 위험인자를 포함하여 작업자의 근로 환경 정보를 영상 및 센싱 데이터를 이용하여 인지하고 작업자에게 현장 위해요인을 파악함으로써 합리적인 대책의 마련을 통해 작업자의 안전을 보장하고, 이와 더불어 업무지원 정보를 실시간으로 제공하여 인명피해의 감소, 작업능률과 생산성 향상을 야기할 수 있는 스마트 안전제어 및 원격 업무 지원을 위한 지능형 산업안전 관리 시스템을 개발하였다.

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Artificial Intelligence in Aviation (항공분야의 인공지능)

  • Hyun, WooSeok
    • Korean journal of aerospace and environmental medicine
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    • v.29 no.2
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    • pp.59-66
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    • 2019
  • Artificial Intelligence (AI) born in 1956 is a general term that implies the use of a computer to make intelligent machines with minimal human intervention. AI is a topic dominating diverse discussions on the future of professional employment, change in the social standard and economic performance. In this paper, I describe fundamental concepts underlying AI and their significance to various fields including aviation and medicine. I highlight issues involved and describe the potential impacts and challenges to the industrial fields. While many benefits are expected in human life with AI integration, problems are needed to be identified and discussed with respect to ethical issues and the future roles of professionals and specialists for their wider application of AI.

Python-based Software Education Model for Non-Computer Majors (컴퓨터 비전공자를 위한 파이썬 기반 소프트웨어 교육 모델)

  • Lee, Youngseok
    • Journal of the Korea Convergence Society
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    • v.9 no.3
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    • pp.73-78
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    • 2018
  • Modern society has evolved to such an extent that computing technology has become an integral part of various fields, creating new and superior value to society. Education on computer literacy, including the ability to design and build software, is now becoming a universal education that must be acquired by everyone, regardless of the field of study. Many universities are imparting software education to students to improve their problem-solving ability, including to students who are not majoring in computers. However, software education contains courses that are meant for computer majors and many students encounter difficulty in learning the grammar of programming language. To solve this problem, this paper analyzes the research outcomes of the existing software education model and proposes a Python-based software education model for students who are not majoring in computer science. Along with a Python-based software education model, this paper proposed a curriculum that can be applied during one semester, including learning procedures, and teaching strategies. This curriculum was applied to a liberal arts class and a meaningful result was derived. If the proposed software education model is applied, the students will be interested in the computer literacy class and improve their computational thinking and problem-solving ability.

Intelligent Character Recognition System for Account Payable by using SVM and RBF Kernel

  • Farooq, Muhammad Umer;Kazi, Abdul Karim;Latif, Mustafa;Alauddin, Shoaib;Kisa-e-Zehra, Kisa-e-Zehra;Baig, Mirza Adnan
    • International Journal of Computer Science & Network Security
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    • v.22 no.11
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    • pp.213-221
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    • 2022
  • Intelligent Character Recognition System for Account Payable (ICRS AP) Automation represents the process of capturing text from scanned invoices and extracting the key fields from invoices and storing the captured fields into properly structured document format. ICRS plays a very critical role in invoice data streamlining, we are interested in data like Vendor Name, Purchase Order Number, Due Date, Total Amount, Payee Name, etc. As companies attempt to cut costs and upgrade their processes, accounts payable (A/P) is an example of a paper-intensive procedure. Invoice processing is a possible candidate for digitization. Most of the companies dealing with an enormous number of invoices, these manual invoice matching procedures start to show their limitations. Receiving a paper invoice and matching it to a purchase order (PO) and general ledger (GL) code can be difficult for businesses. Lack of automation leads to more serious company issues such as accruals for financial close, excessive labor costs, and a lack of insight into corporate expenditures. The proposed system offers tighter control on their invoice processing to make a better and more appropriate decision. AP automation solutions provide tighter controls, quicker clearances, smart payments, and real-time access to transactional data, allowing financial managers to make better and wiser decisions for the bottom line of their organizations. An Intelligent Character Recognition System for AP Automation is a process of extricating fields like Vendor Name, Purchase Order Number, Due Date, Total Amount, Payee Name, etc. based on their x-axis and y-axis position coordinates.

A software package for fuzzy control design on a laptop computer

  • Kanda, Masae;Tateishi, Shogo;Hayashi, Shinji;Araki, Mika;Tomita, Takehiko
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10b
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    • pp.1944-1949
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    • 1991
  • In coming years fuzzy control techniques will be increasingly applied to plants in such fields as industry and public works. For this reason, it is extremely important that a high-quality support tool for systems configuration be developed. In this paper we will describe a comprehensive, user-friendly design tool for configuration of fuzzy control systems, called FZtool, that runs on a compact and cost-effective laptop computer.

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Selecting usability evaluation methods (사용성 평가 방법들의 선택에 관한 연구)

  • 박경수;임치환
    • Proceedings of the ESK Conference
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    • 1996.10a
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    • pp.153-159
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    • 1996
  • Usability evaluation can be valuable tool for analyzing and improving computer software. Various usability evaluation methods have been developed in the fields of human-computer interaction and software ergonomics. Although there are several useful methods available, designers or engineers engaged in usability evaluations should really select the most suitable methods for each specific system being evaluated. Even different systems within the same organization may require different evaluation methods to maximize the quality of the data obtained from each evaluation. In this paper, the taxonomy of evaluation methods based on the development life cycle is presented and comparative analysis between methods is performed. In addition, the implications for selecting appropriate usability methods and using them collectively are discussed.

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A Recognition Method for Moving Objects Using Depth and Color Information (깊이와 색상 정보를 이용한 움직임 영역의 인식 방법)

  • Lee, Dong-Seok;Kwon, Soon-Kak
    • Journal of Korea Multimedia Society
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    • v.19 no.4
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    • pp.681-688
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    • 2016
  • In the intelligent video surveillance, recognizing the moving objects is important issue. However, the conventional moving object recognition methods have some problems, that is, the influence of light, the distinguishing between similar colors, and so on. The recognition methods for the moving objects using depth information have been also studied, but these methods have limit of accuracy because the depth camera cannot measure the depth value accurately. In this paper, we propose a recognition method for the moving objects by using both the depth and the color information. The depth information is used for extracting areas of moving object and then the color information for correcting the extracted areas. Through tests with typical videos including moving objects, we confirmed that the proposed method could extract areas of moving objects more accurately than a method using only one of two information. The proposed method can be not only used in CCTV field, but also used in other fields of recognizing moving objects.

An Iterative CRT Based Image Watermarking on DCT Domain

  • Choi, Ji-Su;Kim, Gye-Young
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.2
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    • pp.41-48
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    • 2019
  • Digital image watermarking techniques have been studied in various fields in order to protect the copyright of multimedia contents mostly composed by images. JPEG compression is a representative copyright attack for image watermarking. The CRT-based watermarking methods in DCT domain have been studied, because these are robust for JPEG compression attack. In this paper, we propose a new method with improved performance compared with the existing CRT based methods in DCT domain. The proposed method selects the DCT block according to the denseness at the watermark insertion phase, and iteratively adjust the CRT Conditional coefficients at the watermark extraction. This paper shows that it is more robust for the JPEG compression attacks through experimental results.

A Study on the Implementation of Smart Farm Environment Control System Using Unity and Photon (Unity와 Photon을 활용한 스마트 팜 환경 제어 시스템 구현에 관한 연구)

  • Jung, Hyeon Ji;Lee, Wan Bum
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.1
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    • pp.104-107
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    • 2021
  • Unity programs are largely recognized as game development tools. However, it has many functions built in, so it can be applied to various fields as well as game development. Therefore, in this paper, we propose a smart farm environmental control program using Unity and Photon. The proposed program has vast compatibility that is not limited to specific devices, and it is very easy to build network systems for remote control. In addition, the proposed programs were installed on various devices such as pc and smartphones, making it easy to control the smart farm environment system. Through experiments, it was confirmed that data transmission and reception between Windows and Android, other operating system environments, and that smart farm systems were operating normally.