• Journal of the Korea Society of Computer and Information
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• v.22 no.10
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• pp.47-54
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• 2017

In this paper, we propose a connected car platform architecture called Mobile Second for developing of verity convergence services. A Mobile Second platform architecture is designed to provide more powerful and diverse convergence services for vehicles and drivers by applying technologies of Connected Car and ICT Convergence in various ways. The Mobile Second platform is implemented by applying Tizen IVI and Android to hardware platforms for IVI, Nexcom's VTC1010 and Freescale's i.MX6q/dl respectively. The Mobile Second platform provides the driver with the vehicle's information via IVI devices, mobile devices and PCs, etc., and provides Vehicle Selective Gateway(VSG) and Vehicle Control Framework for the driver to control his/her vehicle, and also provides a web framework to enable the use of VSG's APIs for the monitoring and controlling the vehicle information in various mobile environments as well as IVI devices. Since the Mobile Second platform aims to create new variety of services for Connected Car, it includes service frameworks for Smart Care / Self diagonostics, Mood & Entertainment services, and Runtime, libraries and APIs needed for the development of related applications. The libraries given by the Mobile Second Platform provides both a native library for native application support and a Java Script-based library for web application support, minimizing the dependency on the platform and contributing the convenience of developers at the same time.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.85-95
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• 2016

Recently, deep learning and machine learning have attracted considerable attention and many supporting frameworks appeared. In artificial intelligence field, a large body of research is underway to apply the relevant knowledge for complex problem-solving, necessitating the application of various learning algorithms and training methods to artificial intelligence systems. In addition, there is a dearth of performance evaluation of decision making agents. The decision making agent that can find optimal solutions by using reinforcement learning methods designed through this research can collect raw pixel data observed from dynamic environments and make decisions by itself based on the data. The decision making agent uses convolutional neural networks to classify situations it confronts, and the data observed from the environment undergoes preprocessing before being used. This research represents how the convolutional neural networks and the decision making agent are configured, analyzes learning performance through a value-based algorithm and a policy-based algorithm : a Deep Q-Networks and a Policy Gradient, sets forth their differences and demonstrates how the convolutional neural networks affect entire learning performance when using pixel data. This research is expected to contribute to the improvement of artificial intelligence systems which can efficiently find optimal solutions by using features extracted from raw pixel data.

• Korean Journal of Veterinary Service
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• v.43 no.4
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• pp.267-271
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• 2020

The emergence of highly contagious viral diseases of livestock and poultry such as foot-and-mouth disease (FMD), African swine fever (ASF) and highly pathogenic influenza (HPAI) have necessitated the formulation of policies and regulatory frameworks for preventing ingress of exotic diseases and controlling dissemination of endemic diseases within the country. The disease control ratings to manage contagious livestock disease in farms have not being widely used because the evaluation parameters were not being considered inappropriate. The purpose of this study was to reinforce the validity of the parameters for evaluation factors and the objectivity of the scoring criteria in the application of the current disease management rating system. The diseases subject to intensive management were improved by reflecting farm situation. For the evaluation based on the disease grading system of farms, the diseases subject to intensive management were realized, the list of diseases for evaluating the vaccination rate was revised, and the quarantine and sanitation management standards were revised. The effectiveness of the improved livestock disease management system was confirmed through the application of actual pig farms. Therefore, this system will be used as a means to evaluation the biosecurity at the farm units. Through this, it will contribute to establish effective biosecurity measures for each farm by improving and supplementing the present disease grading system.

• Annual Conference of KIPS
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• 2024.05a
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• pp.53-56
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• 2024

Though lots of approaches to develop mobile apps are suggested up to now, developers have difficulties selecting a right one. This study compares native and cross-platform application development approaches, particularly focusing on the shift in preference from Java to Kotlin and the increasing use of Flutter. This research offers practical insights into factors influencing developers' choice of programming languages and frameworks in mobile application development by creating identical applications using Java, Kotlin, and Dart (Flutter). Furthermore, this study explores the best practices for development by examining the quality of code in 45 open-source GitHub repositories. The study evaluates LOC and code smells using semi-automated SonarQube assessments to determine the effects of selecting a specific language or framework on code maintainability and development efficiency. Preliminary findings show differences in the quality of the code produced by the two approaches, offering developers useful information on how to best optimize language and framework selection to reduce code smells and improve project maintainability.

• Computers and Concrete
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• v.34 no.3
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• pp.355-365
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• 2024

TECSolverApp is an application that calculates the total equivalent seismic load (base shear) and shows the design spectra in accordance with the Turkish Earthquake Code (TEC). TECSolverApp software can present the spectral acceleration-period graph and the base shear (in terms of unit building weight) in MATLAB and .NET Core frameworks according to TEC 2007 and TEC 2018. In the software, three different building period evaluation options were provided, as entering the period directly, empirical calculation, and using the period calculation formula. In different period calculation scenarios, particular design input parameters such as site-specific spectral acceleration coefficients, local soil class, building importance coefficient, and structural system behavior coefficient are expected. TECSolverApp was produced in two different programming languages and published in MATLAB App Designer and ASP.NET Core MVC environments. To be shared in MATLAB App Designer, it was aimed at availability through the program and distributability as a desktop application. By deploying in ASP.NET Core MVC, open-source cross-platform coding and web-based accessibility were targeted. One of the strongest aspects of TECSolverApp is its developability thanks to software architecture. In this respect, it can be foreseen that other international seismic codes can be added to the calculations in the future.

• The Journal of the Korean dental association
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• v.50 no.3
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• pp.110-117
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• 2012

Dental computer-aided design (CAD) and computer-aided manufacturing (CAM) technology have rapidly progressed over the past 30 years. The technology, which can be used in the dental laboratory, the dental office and the form of production centers, has become more common in recent years. This technology is now applied to inlays, onlays, crowns, fixed partial dentures, removable partial denture frameworks, complete dentures, templates for implant installation, implant abutments, and even maxillofacial prostheses. Dentists and dental technicians, who want to use these techniques, should have certain basic knowledge about that. This article gives an overview of CAD/CAM technologies, histories and how it applies in prosthetic dentistry.

• The Journal of Society for e-Business Studies
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• v.7 no.3
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• pp.105-120
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• 2002

The importance of contents industry is growing up in various industries because of internet and digital economy. Recently, contents industry is challenging to new businesses such as total service industry with digital contents. It is important to classify digital contents to use it in contents industries and information and telecommunication service industries. Previous contents classification frameworks is based on contents quality, business model and application methods. They didn't consider business processes, interfaces of business unit and interactions in contents industries. In this paper, we present core business processes in digital contents industries, a corresponding digital contents classification, and analysis method of digital contents industry.

• Journal of Information Processing Systems
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• v.12 no.2
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• pp.226-233
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• 2016

Cloud computing is a distributed computing model that has lot of drawbacks and faces difficulties. Many new innovative and emerging techniques take advantage of its features. In this paper, we explore the security threats to and Risk Assessments for cloud computing, attack mitigation frameworks, and the risk-based dynamic access control for cloud computing. Common security threats to cloud computing have been explored and these threats are addressed through acceptable measures via governance and effective risk management using a tailored Security Risk Approach. Most existing Threat and Risk Assessment (TRA) schemes for cloud services use a converse thinking approach to develop theoretical solutions for minimizing the risk of security breaches at a minimal cost. In our study, we propose an improved Attack-Defense Tree mechanism designated as iADTree, for solving the TRA problem in cloud computing environments.

• Journal of Korean Society of Forest Science
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• v.78 no.1
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• pp.1-10
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• 1989

The Forest Planning Model(FORPLAN) is a conceptually complex model which has been designated as the "primary analysis tool for forest planning" for all American National Forests. This paper defines eight FORPLAN components and shows the three model design frameworks that can be represented in FORPLAN version 1 and version 2.

• Korean System Dynamics Review
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• v.8 no.1
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• pp.211-227
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• 2007

Like the saying "You can't manage what you can't measure," performance measurement is considered as one of the most important management activities for the organizations in either private or public sector. Performance measurement, however, has thus far relied too much on financial statements. Realizing the importance of a more scientific and comprehensive performance measurement, many organizations have adopted several different systems in order to objectively estimate their balanced performance results. The Balanced Scorecard (BSC) has become a popular means to measure performance. But the BSC has also received some criticisms. In this paper four limitations in the use of the BSC are discussed : BSCs focus on unidirectional causality, are unable to distinguish delays between actions and their impacts on performance, integrate insufficiently strategy with operational measures, and lead to internal biases. We propose a system dynamics approach with causal loop diagram(CLD) to develop a Dynamic BSC in order to overcome these limitations. The results suggest that developing a BSC with system dynamics is a promising approach to supplement existing BSC frameworks.