• 지능정보연구
• /
• 제15권3호
• /
• pp.17-29
• /
• 2009

C 언어는 AVR사의 ATmega128을 기반으로 하는 교육용 로봇 팔의 주 프로그래밍 언어다. C 언어는 교육용 로봇 팔을 제어하고 프로그램 학습하기 원하는 중학교 또는 고등학생들에게는 매우 어렵고 복잡하였다. 더구나, 통합개발환경, 디버딩 및 테스팅 환경도 제공하지 못하였다. 본 연구에서는 이러한 문제를 해결하기 위하여 교육용 로봇을 위한 자바 기반의 통합 개발 플랫폼을 제안하였다. 이 플랫폼은 교육용 로봇 팔을 위한 최신의 초소형 자바 가상 머신(NanoVM), 이클립스 플러그인을 사용한 통합개발환경, 실제 로봇을 연결하지 않아도 테스트 및 디버깅을 할 수 있는 3차원 시뮬레이터를 포함하고 있다. 이러한 자바 개발환경은 어린 학생들이 매우 용이한 교육용 로봇 팔 학습환경을 제공하게 되었다.

• 한국전자통신학회논문지
• /
• 제18권5호
• /
• pp.945-952
• /
• 2023

본 논문에서는 안드로이드 플랫폼 기반의 GRS칩 구동 JNI 코드 응용 SW 설계 안드로이드 플랫폼 기반 동작 제스처 프레임 모듈 설계 제작하였다. 안드로이드 기반 모듈 설계, 안드로이드 기반 모듈 구현, 안드로이드 기반 기능 모듈 구현 설계로 응용애플리케이션 기반 네트워크 지원 API 기술 제안한 직렬 데이터 수신 모듈 설계를 하였다. 안드로이드 OS의 애플리케이션을 통해 무선 통신 디바이스로부터 데이터를 수신하기 위한 직렬 통신 드라이버, 라이브러리, 프레임워크의 클래스와 같은 안드로이드 애플리케이션을 통해 센서의 데이터 정보를 확인할 수 있었다. 또한 안드로이드에서의 어플리케이션들은 자바를 이용하여 좌우상하 4방향의 동작 제스처를 판단할 수 있는 응용 SW를 구현하였다.

• 한국인터넷방송통신학회논문지
• /
• 제20권1호
• /
• pp.45-53
• /
• 2020

본 논문에서는 집단지성 기반 이미지 공유 마켓 플랫폼을 제안 개발한다. 제안된 이미지 공유 마켓 플랫폼의 특징 및 기여도는 다음과 같다. 첫째, 제안된 이미지 공유 플랫폼은 사용자들이 집단 지성적으로 가격을 결정하므로 기존의 플랫폼보다 매우 낮은 가격으로 이미지를 제공할 수 있다. 둘째, 제안된 이미지 공유 플랫폼은 효과적인 웹 접근성을 제공 하므로 다양한 계층의 사용자들 누구나 이미지들을 편리하게 접근하고, 자율적으로 평가할 수 있다. 성능평가 결과 제안된 이미지 공유 마켓 플랫폼은 효과적으로 이미지 공유 서비스를 제공할 수 있음을 보여준다.

• 한국멀티미디어학회논문지
• /
• 제18권9호
• /
• pp.1131-1139
• /
• 2015

The purpose of this research is creating the visualization platform of the user interface to make able to be provide the demanded service while users communication with surrounding space in a smart city environment. This comes from the latest enhanced interface technology and social media, and it uses the shares information to support the proper interface environment according to a life style and spatial properties. "EzCity" which is the user interface platform suggested in this research, can control the enormous amount of public data for the smart city. The core module of user platform is made up with Public data module, Interface module, Visualization module and Service module. The role of this platform is to be provide "Geo-Intelligent Interface Service" for space users to access the data in easier and more practical interface environment. This reinforces the visualization process for data collecting, systematization, visualization and providing service. Also this will be expected to be the base to solve the problem which complexity and rapidly increasing amount of data.

• World Technopolis Review
• /
• 제7권2호
• /
• pp.125-134
• /
• 2018

The purpose of this article is to introduce and describe the case of Fukuoka Next-generation Social System Creation Hub based on the conceptual framework of regional innovation platform strategy. In short, it is a "government-issued" regional innovation platform strategy to improve innovativeness with limited creative capital through "borrowing" not money but network, wisdom, know-how, and ideas from each other between some stakeholder groups in a region. The Fukuoka Industry, Science & Technology Foundation, which is the coordinating institution of the whole program, plays the role of a platformer to unify various projects into the program crossing borders between stakeholder groups for building regional innovation platforms that lends intensive support to feedback loops between the program facilitator and its partners in the program. Thanks to being a government-issued one, it could be tied together with some wide ranging issues of policy on social innovations, such as the "low carbon society" or the "health and longevity society." But at the same time, it is a concern that many regional research institutions that have innovative potential and diverse ideas become governed by the platform without their noticing it and dealt with in the same way based on "selected" and "designated" strategic goals. Therefore, it seems that a regional innovation platform strategy is a kind of "double-edged sword" in public policy in the era of "panopticism of bureaucratic society" in Japan.

• International Journal of Internet, Broadcasting and Communication
• /
• 제14권4호
• /
• pp.121-131
• /
• 2022

We look at the initial stage of Meta (previous Facebook)'s new metaverse platform and investigate its platform design in pre-launch and ignition life stage. From the Rocket Model (RM)'s theoretical logic, the results reveal that Meta firstly focuses on investing in key content developers by acquiring virtual reality (VR), video, music content firms and offering production support platform of the augmented reality (AR) content, 'Spark AR' last three years (2019~2021) for attracting high-potential developers and users. In terms of three matching criteria, Meta develops an Artificial Intelligence (AI) powered translation software, partners with Microsoft (MS) for cloud computing and AI, and develops an AI platform for realistic avatar, MyoSuite. In 'connect' function, Meta curates the game concept submitted by game developers, welcomes other game and SNS based metaverse apps, and expands Horizon Worlds (HW) on VR devices to PCs and mobile devices. In 'transact' function, Meta offers 'HW Creator Funding' program for metaverse, launches the first commercialized Meta Avatar Store on Meta's conventional SNS and Messaging apps by inviting all fashion creators to design and sell clothing in this store. Mata also launches an initial test of non-fungible token (NFT) display on Instagram and expands it to Facebook in the US. Lastly, regarding optimization, especially in the face of recent data privacy issues that have adversely affected corporate key performance indicators (KPIs), Meta assures not to collect any new data and to make its privacy policy easier to understand and update its terms of service more user friendly.

• 산경연구논집
• /
• 제14권2호
• /
• pp.35-44
• /
• 2023

Purpose: The purpose of this study is to investigate factors that affect overall attitudes on accommodations sharing platform businesses and effects of overall attitudes on sustainability of accommodation sharing platform and contribution to the tourism industry with the perspectives of millennials and generation Z. Research design, data and methodology: This study conducted an online survey. This study applied factor, ANOVA, and regression analysis to test hypotheses. Results: The results found that factors including economic, trust, environment, local market facilitation, and the quality of residents' life affect overall attitudes toward accommodation sharing, while social and experience aspects do now show significance on overall attitudes. Effects of overall attitudes on sustainability of the accommodation sharing platform and contribution to the tourism industry showed significance. Conclusions: The results provide managerial and policy implications. The results implied how millennials and generation Z perceive significant factors such as local market facilitation for economic benefits and environment aspects with usage of accommodation sharing support characteristics of millennials and generation Z. How to foster social aspects to interact with millennials and generation Z and experience aspects to enhance values of the accommodation sharing that shares experiences remained future issues for better development of sharing platform businesses.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권8호
• /
• pp.2292-2313
• /
• 2023

With improving computing performance, various digital platforms are being developed to enable easily utilization of high-performance computing environments. EDISON 1.0 is an online simulation platform widely used in computational science and engineering education. As the research paradigm changes, the demand for developing the EDISON 1.0 platform centered on simulation into the EDISON 2.0 platform centered on data and artificial intelligence is growing. Herein, a data framework, a core module for data-centric research on EDISON 2.0 digital platform, is proposed. The proposed data framework provides the following three functions. First, it provides a data repository suitable for the data lifecycle to increase research reproducibility. Second, it provides a new data model that can integrate, manage, search, and utilize heterogeneous data to support a data-driven interdisciplinary convergence research environment. Finally, it provides an exploratory data analysis (EDA) service and data enrichment using an AI model, both developed to strengthen data reliability and maximize the efficiency and effectiveness of research endeavors. Using the EDISON 2.0 data framework, researchers can conduct interdisciplinary convergence research using heterogeneous data and easily perform data pre-processing through the web-based UI. Further, it presents the opportunity to leverage the derived data obtained through AI technology to gain insights and create new research topics.

• 한국인공지능학회지
• /
• 제11권4호
• /
• pp.1-8
• /
• 2023

In this paper, we propose a black ice detection platform framework using Convolutional Neural Networks (CNNs). To overcome black ice problem, we introduce a real-time based early warning platform using CNN-based architecture, and furthermore, in order to enhance the accuracy of black ice detection, we apply a multi-scale dilation convolution feature fusion (MsDC-FF) technique. Then, we establish a specialized experimental platform by using a comprehensive dataset of thermal road black ice images for a training and evaluation purpose. Experimental results of a real-time black ice detection platform show the better performance of our proposed network model compared to conventional image segmentation models. Our proposed platform have achieved real-time segmentation of road black ice areas by deploying a road black ice area segmentation network on the edge device Jetson Nano devices. This approach in parallel using multi-scale dilated convolutions with different dilation rates had faster segmentation speeds due to its smaller model parameters. The proposed MsCD-FF Net(2) model had the fastest segmentation speed at 5.53 frame per second (FPS). Thereby encouraging safe driving for motorists and providing decision support for road surface management in the road traffic monitoring department.

• 디지털산업정보학회논문지
• /
• 제19권4호
• /
• pp.147-154
• /
• 2023

With the recent popularity of smartphones, many games are being developed on mobile-based platforms. As a result, it has brought about many changes in the way mobile game is developed. Especially mobile platforms, which are divided into Android and IOS, can now be applied to each platform without additional development through cross-platform. This means that it is necessary to move away from the method of developing each using separate development tools and implement the development process through cross-platform unique features. In this paper, we studied various methods to increase the productivity and quality of game development for the development of mobile games, and a formal framework considering the development process was developed. The framework consists of process, development domain, and platform support parts, each playing its own role. Items of the detailed framework must be reflected so that detailed response data for efficient application of game development can be established in actual mobile game development. The framework was developed by approaching it from two domains, the need for a framework and the framework implementation of key item response data.