• Title/Summary/Keyword: Web application analysis

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Performance Comparison Analysis of Deep Learning-based Web Application Services on Cloud Platforms (클라우드 플랫폼에서의 딥러닝 기반 웹 어플리케이션 서비스 성능 비교 분석)

  • Kim, Ju-Chan;Bum, Junghyun;Choo, Hyun-Seung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.224-226
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    • 2021
  • 최근 코로나바이러스감염증-19(COVID-19)가 확산됨에 따라 화상회의, 온라인 게임, 스트리밍 등과 같은 다양한 온라인 서비스들의 트래픽이 크게 증가하면서 원활한 서비스 제공을 위한 서버 자원 관리의 중요성이 강조되고 있다. 이에 따라 서버 자원을 전문적으로 관리해주는 클라우드 서비스의 수요도 증가하는 추세이다. 하지만 대다수의 국내 기업들은 성능의 불확실성, 보안, 정서적 이질감 등을 이유로 클라우드 서비스 도입에 어려움을 겪고 있다. 따라서 본 논문에서는 클라우드 서비스의 성능의 불확실성을 해소하기 위해 클라우드 시장 BIG3 기업(아마존, 마이크로소프트, 구글)의 클라우드 서비스의 성능을 비교하였다.

Measuring Industry Regulations Using an Agent-based Model: The Case of Online Games in Korea

  • Taekyung Kim;Seongmin Jeon;Jongil Kim
    • Asia pacific journal of information systems
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    • v.29 no.2
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    • pp.165-180
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    • 2019
  • As game industry prospers, the negative side of games becomes highlighted as well as its contributions to economy growth. In spite of strong arguments for the necessity to regulations as a means to decrease addiction or overindulgence, research has produced future suggestions rather than quantifiable evidence. In this paper, we propose adopting a simulation approach in addition to quantitative approaches to better understand optimal regulatory levels since a simulation approach can visualize unexpected side effects of regulations. In this study, we suggest the application of an agent-based model (ABM) as a smart service to measure the effects of regulatory policies. We review cases applying ABM in various domains and consider the possibility of using an ABM to understand the effectiveness of web board-game regulations. We find that the ABM approach would be useful in several areas, such as the analysis of regulatory effects that reflect a variety of characteristics, the measurement of micro-regulatory effects, and the simulation of regulations.

DTLS-based CoAP Security Mechanism Analysis and Performance Evaluation (DTLS 기반의 CoAP 보안 메커니즘 분석 및 성능평가)

  • Han, Sang woo;Park, Chang seop;Cho, Jung mo
    • Convergence Security Journal
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    • v.17 no.5
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    • pp.3-10
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    • 2017
  • Standard Protocol Optimized for Resource-Constrained IoT Environment Constrained Application Protocol (CoAP) supports web-based communication between a sensor node in the IoT environment and a client on the Internet. The CoAP is a Request / Response model that responds to the client's CoAP Request message by responding with a CoAP Response message from the server. CoAP recommends the use of CoAP-DTLS for message protection. However, validation of the use of DTLS in the IoT environment is underway. We analyze CoAP and DTLS security mode, evaluate performance of secure channel creation time, security channel creation step time, and RAM / ROM consumption through Cooja simulator and evaluate the possibility of real environment application.

The Role of High-throughput Transcriptome Analysis in Metabolic Engineering

  • Jewett, Michael C.;Oliveira, Ana Paula;Patil, Kiran Raosaheb;Nielsen, Jens
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.10 no.5
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    • pp.385-399
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    • 2005
  • The phenotypic response of a cell results from a well orchestrated web of complex interactions which propagate from the genetic architecture through the metabolic flux network. To rationally design cell factories which carry out specific functional objectives by controlling this hierarchical system is a challenge. Transcriptome analysis, the most mature high-throughput measurement technology, has been readily applied In strain improvement programs in an attempt to Identify genes involved in expressing a given phenotype. Unfortunately, while differentially expressed genes may provide targets for metabolic engineering, phenotypic responses are often not directly linked to transcriptional patterns, This limits the application of genome-wide transcriptional analysis for the design of cell factories. However, improved tools for integrating transcriptional data with other high-throughput measurements and known biological interactions are emerging. These tools hold significant promise for providing the framework to comprehensively dissect the regulatory mechanisms that identify the cellular control mechanisms and lead to more effective strategies to rewire the cellular control elements for metabolic engineering.

Teachers' Perception and Attitude on Corporal Punishment : Application of Qualitative Content Analysis Method (체벌에 관한 교사들의 인식과 태도 : 질적 내용분석)

  • Choi, Tae-Jin
    • Journal of Fisheries and Marine Sciences Education
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    • v.25 no.2
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    • pp.375-392
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    • 2013
  • The This study attempted to analyze what perception and attitude teachers have on corporal punishment. For these purpose, 458 writings about corporal punishment that 140 teachers loaded on web-site were collected and were analyzed using qualitative content analysis. : First, each writing was open-coded according to specific theme or meaning relating to corporal punishment using Nvivo program. Second, coded materials were classified as a high category when having similar theme or meaning. As a result of this process, 2 highest categories, 6 high categories and 24 subcategories were yielded. Teachers with positive view on corporal punishment tend to think that corporal punishment has some educational values or usefulness and their views were classified as very positive view, limited-permissive view, and inevitable view. They thought that corporal punishment were closely related to teachers' authority. Teachers have negative views on corporal punishment on the basis that corporal punishment causes side effects, is contrary to essentials of education, violates human rights etc. Negative views that teachers have on corporal punishment were classified as absolutely negative view and negative view focused on side effects. They thought that corporal punishment were not related to teachers' authority. Comments have been made on positive view on corporal punishment from the perspective of reflective analysis and implications of the results on theory and practice were discussed with comments on research limitations.

A Study of Structure-Fluid Interaction Technique for Submarine LOX Tank under Impact Load of Underwater Explosion (수중폭발 충격하중을 받는 잠수함 액화산소 탱크의 구조-유체 상호작용 기법에 관한 연구)

  • KIM JAE-HYUN;PARK MYUNG-KYU
    • Journal of Ocean Engineering and Technology
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    • v.19 no.1 s.62
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    • pp.20-25
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    • 2005
  • The authors performed the underwater explosion analysis for the liquified oxygen tank - a kind of fuel tank of a mid-size submarine, and tried to verify the structural safety for this structure. First, the authors reviewed the theory and application of underwater explosion analysis, using a Structure-Fluid Interaction technique and its finite element modeling scheme. Next, the authors modeled the explosive and sea water as fluid elements, the LOX tank as structural elements, and the interface between the two regions as the ALE scheme. The effect on shock pressure and impulse of fluid mesh size and shape are also investigated. Upon analysis, it was found that the shock pressure due to explosion propagated into the water region, and hit the structure region. The plastic deformation and the equivalent stress were apparent at the web frame and the shock mount of LOX structure, but these values were acceptable for the design criteria.

Comparative Analysis of the Status of Restaurant Start-ups Before and After the Lifting of Social Distancing Through Big Data Analysis

  • Jong-Hyun Park;Yang-Ja Bae;Jun-Ho Park;Gi-Hwan Ryu
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.353-360
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    • 2023
  • This paper explores notable shifts in the restaurant startup market following the lifting of social distancing measures. Key trends identified include an escalated interest in startups, a heightened focus on the quality and diversity of food, a relative decline in the importance of delivery services, and a growing interest in specific industry sectors. The study's data collection spanned three years, from April 2021 to May 2023, encompassing the period before and after social distancing. Data were sourced from a range of online platforms, including blogs, news sites, cafes, web documents, and intellectual forums, provided by Naver, Daum, and Google. From this collected data, the top 50 words were identified through a refinement process. The analysis was structured around the social distancing application period, comparing data from April 2021 to April 2022 with data from May 2022 to May 2023. These observed trend changes provide founders with valuable insights to seize new market opportunities and formulate effective startup strategies. In summary, We offer crucial insights for founders, enabling them to comprehend the evolving dynamics in food service startups and to adapt their strategies to the current market environment.

Application of Sensor Fault Detection Scheme Based on AANN to Risk Measurement System (AANN-기반 센서 고장 검출 기법의 방재시스템에의 적용)

  • Kim Sung-Ho;Lee Young-Sam
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.11 no.2
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    • pp.92-96
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    • 2006
  • NLPCA(Nonlinear Principal Component Analysis) is a novel technique for multivariate data analysis, similar to the well-known method of principal component analysis. NLPCA operates by a feedforward neural network called AANN(Auto Associative Neural Network) which performs the identity mapping. In this work, a sensor fault detection system based on NLPCA is presented. To verify its applicability, simulation study on the data supplied from risk management system is executed.

The Development of GIS-based Small Hydropower Package Tool (GIS기반 소수력 Package Tool 개발)

  • Heo, June-Ho;Jeong, Sang-Man;Park, Wan-Soon;Lee, Chul-Hyung
    • 한국태양에너지학회:학술대회논문집
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    • 2009.04a
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    • pp.139-144
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    • 2009
  • The generation of small hydropower as compared to other different developed environmental methods produces one of the clean energies. In such manner, various application system development through IT technique is being developed for an advanced small hydropower energy resources data mining. However, existing data analysis of New & Renewable Information System for small hydropower resources application is incomplete therefore it limits expressing these information on the Web. Thus for positive usage of small hydropower resources, a more systematic and precise analysis system should be built. This study seeks to develop a map of the domestic small hydropower resources problems to further improve small hydropower resources, developed through Package Tool which can accurately evaluate a wide range of small hydropower basin in a short period of time. Small hydropower Package Tool was calculated using existing Analysis System small hydropower resources which did not provide diverse capabilities resulting to 840 standard basin classified by A and facility capacity, etc., and to assume a 40% annual capacity, expected annual electricity production was calculated. Small hydropower for the national water system of small hydropower resources potential calculated in terms of resources for the development of small hydropower will be utilized as basic data.

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Implementation of R-language-based REST API and Solution for Security Issues (R 언어 기반의 REST API 구현 및 보안문제의 해결 방안)

  • Kang, DongHoon;Oh, Sejong
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.1
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    • pp.387-394
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    • 2019
  • Recently, the importance of big data has been increased, and demand for data analysis for the big data is also increased. R language is developed for data analysis, and users are analyzing data by using algorithms of various statistics, machine learning and data mining packages in R language. However, it is difficult to develop an application using R. Early study proposed a method to call R script through another language such as PHP, Java, and so on. However, it is troublesome to write such a development method in addition to R in combination with other languages. In this study, we introduce how to write API using only R language without using another language by using Plumber package. We also propose a solution for security issues related with R API. If we use propose technology for developing web application, we can expect high productivity, easy of use, and easy of maintenance.