• Title/Summary/Keyword: Computer application

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A Survey of Application Layer Protocols of Internet of Things

  • bibi, Nawab;Iqbal, Faiza;Akhtar, Salwa Muhammad;Anwar, Rabia;bibi, Shamshad
    • International Journal of Computer Science & Network Security
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    • v.21 no.11
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    • pp.301-311
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    • 2021
  • The technological advancements of the last two decades directed the era of the Internet of Things (IoT). IoT enables billions of devices to connect through the internet and share their information and resources on a global level. These devices can be anything, from smartphones to embedded sensors. The main purpose of IoT is to make devices capable of achieving the desired goal with minimal to no human intervention. Although it hascome as a social and economic blessing, it still brought forward many security risks. This paper focuses on providing a survey of the most commonly used application layer protocols in the IoT domain, namely, Constrained Application Protocol (CoAP), Message Queuing Telemetry Transport (MQTT), Advanced Message Queuing Protocol (AMQP), and Extensible Messaging and Presence Protocol (XMPP). MQTT, AMQP, and XMPP use TCP for device-to-device communication, while CoAP utilizes UDP to achieve this purpose. MQTT and AMQP are based on a publish/subscribe model, CoAP uses the request/reply model for its structuring. In addition to this, the quality of service provision of MQTT, AMQP, and CoAP is not very high, especially when the deliverance of messages is concerned. The selection of protocols for each application is very a tedious task.This survey discusses the architectures, advantages, disadvantages, and applications of each of these protocols. The main contribution of this work is to describe each of the aforementioned application protocols in detail as well as providing their thorough comparative analysis. This survey will be helpful to the developers in selecting the protocol ideal for their system and/or application.

A Design and Implementation of Local Festivals and Travel Information Service Application

  • Jae Hyun Ahn;Hang Ju Lee;Se Yeon Lee;Ji Won Han;Won Joo Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.11
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    • pp.65-71
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    • 2023
  • In this paper, we design and implement the Walking Life Festival application, which is based on the Android platform and provides information about domestic travel destinations and regional festivals in South Korea. This application utilizes various sensors found in smartphones, including the Step Counter sensor, Step Detector sensor, Acceleration sensor, and GPS sensor. Additionally, it makes use of Google Map API and Public Open API to offer information about domestic travel destinations and local festivals. The application also incorporates an automatic login feature using the Shared Preference API. When storing login information in the database, it encrypts the input plaintext data using a hash algorithm. For Google Maps integration, it creates objects using the Google.maps.LatLngBounds() method and extends the location information through the extends method. Furthermore, this application contributes to the activation of the domestic tourism industry by notifying users about the timing of local festivals related to domestic travel destinations, thus increasing their opportunities to participate in these festivals.

Software Engineering에 關한 報告

  • Lee, 李基式 = -Ki-Sik
    • Communications of the Korean Institute of Information Scientists and Engineers
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    • v.4 no.2
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    • pp.95-103
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    • 1986
  • Computer는 발명되서부터 매년 응용분야가 넓어지고 있다. 현재에는 情 報處理라는 말그대로 어떠한 형태이든가의 복잡하고 다량의 情報가 存在하는 곳 에는 computer를 導入할려고 하든가, 또는 導入이 끝난 곳에서는 보다 큰 大規模 의 system으로 擴張하려고 하는 생각들을 보통 가지고 있다. 이러한 요구에 응하 여 왔던 것이 hardware, oprating system, 그리고 application software이다. 그중 hardware나 operating system은 多小 變化하여 왔지만은, 方式的으로는 application의 특성에 의한 요구에는 별로 틀린것이 없이 대개 같은 종류의 것이 쓰여왔다고 할 수 있다. 따라서 무수히 變하는 application의 複雜한 論理를 實現 하는 것은, 그 책임이 application software 개발자에 걸려있다. 그러므로 이러한 것들은 개발자(designer, programmer) 들의 개인의 기술과 努力에 달렸다고 말할 수 있다.

A Study on Unsafe Mobile Web Application of HTML5 (HTML5의 안전하지 않는 모바일 웹 어플리케이션에 대한 고찰)

  • Jung, Hoon-Young;Seo, Hee-Suk
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.755-758
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    • 2011
  • 현재 인터넷의 최대의 관심사는 HTML5의 등장으로 인한 Web Page의 변화이다. 다양한 분야에서 영향을 미칠 것으로 최근 들어 급격히 무선 네트워크 사용률이 증가한 스마트폰에서도 Web Application이 등장하고 있다. 하지만 Web Application은 Native Application보다 소스 보안에 대해 매우 취약하며 본 연구에서는 이에 대한 분석과 보안을 위해 요구되는 HTML5 기능에 대해 언급한다.

Comparison of Image Procesing Technique (영상처리 기술 비교)

  • Shin, Seong-Yoon;Rhee, Yang-Won
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2010.07a
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    • pp.149-150
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    • 2010
  • This paper contains some simple daily used and research used complex methods, describe their theories and analysis implement results, for deeper comprehension. After that, take an actual application of car license location, elaborate the common algorithm responsibility, and meanwhile take some subtle new attempts for algorithm development.

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A Design of an Internet TV Web Application (인터넷 텔레비전 웹 응용 시스템 설계)

  • Yim, Jaegeol;Lee, Kangjai;Park, Byeonghoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.261-264
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    • 2014
  • 인터넷 TV는 인터넷만 사용할 수 있으면 접속이 가능하다는 장점이 있다. 인터넷은 세계어디에서도 사용 가능한 실정임으로 인터넷 TV야말로 우리 고장 문화와 소식을 세계에 알리는 최적의 방법이라고 생각한다. 따라서 본 논문은 지역의 문화와 소식을 알리는 인터넷 TV 시스템을 설계한다.

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Development of Web Application Service to Football Data Management (축구 데이터 운용 웹 서비스 개발)

  • Cho Kyu Cheol;Lee Hae Chan
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.257-260
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    • 2023
  • 본 논문에서는 Vue.js와 Spring Boot 프레임워크를 사용하여 사용자 편의성을 제공하기 위해 Gird System, Data Table, Chart 등의 기능을 활용하여 축구 데이터를 표현한 웹 응용서비스를 개발하였다. Rapid API의 Open REST API 중 하나인 API-FOOTBALL에 액세스하여 국내에서 쉽게 찾아보기 어려운 세계 축구 리그의 순위표, 일정, 팀 및 선수의 세부 정보 데이터를 활용하였다.

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Development of Educational Application for Physical Computing using Android Smartphone (안드로이드 스마트폰을 활용한 피지컬 컴퓨팅을 위한 교육용 앱의 개발)

  • Kim, Tae-Woo;Chun, Seok-Ju
    • Journal of The Korean Association of Information Education
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    • v.22 no.6
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    • pp.639-649
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    • 2018
  • Physical computing, a concrete operational activity using tools, can help children to understand principles of computer science by observing interactions between a computer and the real world directly. This study aims to design and develop an android application to utilize students' smart phones as a tool of physical computing education. The application includes one class designed to collect data using android smart phone sensors and another designed to transfer the data to a computer which students can use to learn programming. The physical computing application can be used to help students understand the principles of computer science more easily in schools not equipped with physical computing tools.

Feature Analysis for Detecting Mobile Application Review Generated by AI-Based Language Model

  • Lee, Seung-Cheol;Jang, Yonghun;Park, Chang-Hyeon;Seo, Yeong-Seok
    • Journal of Information Processing Systems
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    • v.18 no.5
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    • pp.650-664
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    • 2022
  • Mobile applications can be easily downloaded and installed via markets. However, malware and malicious applications containing unwanted advertisements exist in these application markets. Therefore, smartphone users install applications with reference to the application review to avoid such malicious applications. An application review typically comprises contents for evaluation; however, a false review with a specific purpose can be included. Such false reviews are known as fake reviews, and they can be generated using artificial intelligence (AI)-based text-generating models. Recently, AI-based text-generating models have been developed rapidly and demonstrate high-quality generated texts. Herein, we analyze the features of fake reviews generated from Generative Pre-Training-2 (GPT-2), an AI-based text-generating model and create a model to detect those fake reviews. First, we collect a real human-written application review from Kaggle. Subsequently, we identify features of the fake review using natural language processing and statistical analysis. Next, we generate fake review detection models using five types of machine-learning models trained using identified features. In terms of the performances of the fake review detection models, we achieved average F1-scores of 0.738, 0.723, and 0.730 for the fake review, real review, and overall classifications, respectively.