• 융합신호처리학회논문지
• /
• 제23권2호
• /
• pp.50-61
• /
• 2022

This work demonstrates the design and evaluation of Aqua-Aware, a lightweight miniaturized light emitting diode (LED) based underwater compact sensor node which is used to obtain different characteristics of the underwater environment. Two optical sensor nodes have been designed, developed, and evaluated for a short and medium link range called as Aqua-Aware short range (AASR) and Aqua-Aware medium range (AAMR), respectively. The hardware and software implementation of proposed sensor node, algorithms, and trade-offs have been discussed in this paper. The underwater environment is emulated by introducing different turbulence effects such as air bubbles, waves and turbidity in a 4-m water tank. In clear water, the Aqua-Aware achieved a data rate of 0.2 Mbps at communication link up to 2-m. The Aqua-Aware was able to achieve 0.2 Mbps in a turbid water of 64 NTU in the presence of moderate water waves and air bubbles within the communication link range of 1.7-m. We have evaluated the luminous intensity, packet success rate and bit error rate performance of the proposed system obtained by varying the various medium characteristics.

• Structural Engineering and Mechanics
• /
• 제83권2호
• /
• pp.259-272
• /
• 2022

The branch of electronics that uses an organic solar cell or conductive organic polymers in order to yield electricity from sunlight is called photovoltaic. Regarding this crucial issue, an artificial intelligence-based predictor is presented to investigate the vibrational behavior of the organic solar cell. In addition, the generalized differential quadrature method (GDQM) is utilized to extract the results. The validation examination is done to confirm the credibility of the results. Then, the deep neural network with fully connected layers (DNN-FCL) is trained by means of Adam optimization on the dataset whose members are the vibration response of the design-points. By determining the optimum values for the biases along with weights of DNN-FCL, one can predict the vibrational characteristics of any organic solar cell by knowing the properties defined as the inputs of the mentioned DNN. To assess the ability of the proposed artificial intelligence-based model in prediction of the vibrational response of the organic solar cell, the authors monitored the mean squared error in different steps of the training the DNN-FCL and they observed that the convergency of the results is excellent.

• 한국인공지능학회지
• /
• 제6권1호
• /
• pp.1-10
• /
• 2018

Compressed Air is an important energy source used in most factories nowadays. The automation trend using air compressor has been gradually increasing with the interest of the 4th industry in recent years. With the air compressor system, it is possible to construct the device at low cost and easily achieve automation and energy saving. In addition, With trend of FA, miniaturation and light weight manufacturing trend expand their use in the electronics, medical, and food sectors. Research method is to design the technology for the remote control of the following information as USN base. Development of flexible sensing module from real time observation module for fusion of IT technology in compressed air systems, design and manufacture of flexible sensing module, and realiability assessment. Design of real-time integrated management system for observation data of compressed air system - Ability to process observation data measured in real time into pre-processing and analysis data. This study expects unconventionally decreasing effect of energy cost that takes up 60~70% of air compressor layout and operation and maintenance management cost through USN(Ubiquitous Sensor Network) technology by using optimum operational condition from real time observation module. In addition, by preventing maintenance cost from malfunction of air compressor beforehand, maintenance cost is anticipated to cut back.

• 공학교육연구
• /
• 제26권3호
• /
• pp.12-19
• /
• 2023

The purpose of this study is to develop the Artificial Intelligence thinking-based education program for improving AI literacy and verify its effectiveness for beginner. This program consists of 17 sessions, was designed according to the "ABCDE" model and is a project-based program. This program was conducted on 51 first-year middle school students and 36 respondents excluding missing values were analyzed in R language. The effect of this program on ethics, understanding, social competency, execution plan, data literacy, and problem solving of AI literacy is statistically significant and has very large practical significance. According to the result of this study, this program provided learners experiencing Artificial Intelligence education for the first time with Artificial Intelligence concepts and principles, collection and analysis of information, and problem-solving processes through application in real life, and served as an opportunity to enhance AI literacy. In addition, education program to enhance AI literacy should be designed based on AI thinking.

• 패션비즈니스
• /
• 제26권2호
• /
• pp.28-47
• /
• 2022

Rapid development of information and communication technology is leading the digital transformation (hereinafter, DT) of various industries. At this point in rapid online transition, fashion manufacturers operating offline-oriented businesses have become highly interested in DT and artificial intelligence (hereinafter AI), which leads DT. The purpose of this study is to examine the development status and application case of AI-based digital technology developed for the fashion industry, and to examine the DT stage and AI application status of domestic fashion manufacturers. Hence, in-depth interviews were conducted with five domestic IT companies developing AI technology for the fashion industry and six domestic fashion manufacturers applying AI technology. After analyzing interviews, study results were as follows: The seven major AI technologies leading the DT of the fashion industry were fashion image recognition, trend analysis, prediction & visualization, automated fashion design generation, demand forecast & optimizing inventory, optimizing logistics, curation, and ad-tech. It was found that domestic fashion manufacturers were striving for innovative changes through DT although the DT stage varied from company to company. This study is of academic significance as it organized technologies specialized in fashion business by analyzing AI-based digitization element technologies that lead DT in the fashion industry. It is also expected to serve as basic study when DT and AI technology development are applied to the fashion field so that traditional domestic fashion manufacturers showing low growth can rise again.

• 산업공학
• /
• 제7권2호
• /
• pp.99-105
• /
• 1994

The Artificial Intelligence Lab of Industrial Engineering Department, Korea University is continuing to develop expert systems for quality control methods such as acceptance control, process control and reliability analysis. As a series of these efforts, The Artificial Intelligence Lab of Industrial Engineering Department, Korea University is continuing to develop expert systems for quality control methods such as acceptance control, process control and reliability analysis. As a series of these efforts, this paper concerns an expert system for design of experiment. The system includes factorial experiments, response surface methodology and Taguchi method. PROLOG is used as a language with dBASE III＋ for the data base management system and C for calculations and graphics. This system selecting the appropriate method and analyzing the data obtained can be implemented on an IBM PC 386 or a higher level machine.

• 한국전자통신학회논문지
• /
• 제17권4호
• /
• pp.633-640
• /
• 2022

다양한 분야에 서비스 로봇이 적용됨에 따라 각 임무에 적합한 영상처리 알고리즘을 빠르고 정확하게 수행할 수 있는 영상처리 프로세서에 관한 관심이 높아지고 있다. 본 논문에서는 로봇에 적용 가능한 영상처리 프로세서 설계방법을 소개한다. 제안한 프로세서는 CPU, GPU, FPGA가 융합된 형태로 AGX 보드, FPGA 보드, LiDAR-Vision 보드, Backplane 보드로 구성된다. 제안한 방법은 시뮬레이션 실험을 통해 검증한다.

• International journal of advanced smart convergence
• /
• 제12권2호
• /
• pp.90-95
• /
• 2023

With the rapid development of deep learning and artificial intelligence, generative models have achieved remarkable success in the field of image generation. By combining the stable diffusion method with Web UI technology, a novel solution is provided for the application of AI painting generation. The application prospects of this technology are very broad and can be applied to multiple fields, such as digital art, concept design, game development, and more. Furthermore, the platform based on Web UI facilitates user operations, making the technology more easily applicable to practical scenarios. This paper introduces the basic principles of Stable Diffusion Web UI technology. This technique utilizes the stability of diffusion processes to improve the output quality of generative models. By gradually introducing noise during the generation process, the model can generate smoother and more coherent images. Additionally, the analysis of different model types and applications within Stable Diffusion Web UI provides creators with a more comprehensive understanding, offering valuable insights for fields such as artistic creation and design.

• 한국컴퓨터정보학회논문지
• /
• 제26권1호
• /
• pp.37-44
• /
• 2021

이 연구는 대학생들의 인공지능 소양을 신장하기 위한 교육 콘텐츠의 설계와 개발에 관한 것이다. 우선 인공지능 교육 콘텐츠를 설계하고 교육 프로그램을 구성하였다. 콘텐츠는 8개의 인공지능 영역에서 총 15차시로 구성되었다. 콘텐츠는 지식-기능-태도의 내용을 함께 담고 있으며 학습단계는 5단계로 구성하였다. 콘텐츠의 개발은 온라인 자료의 형태로 구성하고 시뮬레이션과 워크시트를 포함하였다. 또한 교수학습방법을 제공하고 각 콘텐츠별로 평가 문항을 개발하였다. 콘텐츠의 적합성을 살펴보기 위해 전문가 대상으로 타당도 검사를 실시하였다. 설계 내용에 대한 내용타당도 검사 결과 전체 평균은 .71이상을 나타냈고, 개발된 콘텐츠의 수업 적합도의 CVI값은 .82로 타당성이 높게 나왔다. 본 연구에서 개발된 콘텐츠들이 대학 교양교육에서 인공지능 소양을 향상시키기 위한 효과적인 프로그램으로 활용될 것으로 기대된다.

• 한국융합학회논문지
• /
• 제9권8호
• /
• pp.185-198
• /
• 2018

본 논문은 학교에서 진화론과 함께 지적 설계론도 가르쳐야 한다는 요구가 강해지고 있는 상황에서 그에 대한 판단의 이론적 기초 자료로 활용하기 위한 목적으로 쓰였다. 진화론과 달리 경험적 증거가 거의 없는 지적 설계론이 과학이론이 될 가능성을 검증하기 위해 문헌들을 통해 지능이 무엇인지 밝히고, 그 지능의 흔적이 실제 자연 속에서 발견되고 있는지를 확인해 보았다. 자연에서 지능의 흔적인 '지적 요소'가 경험적으로 발견되면 지적 설계론도 과학이론으로서 인정받게 되어 진화론과 함께 학교 교육의 대상이 될 수 있지만 그렇지 않다면 논쟁할 가치조차 없어지게 된다. 지금까지 지능에 대한 문헌들을 종합한 결과 지능의 정체와 그 흔적을 찾을 수 있었으며, 그 흔적이 사고, 지식, 문명 등 인간으로부터 비롯된 다양한 인위적 산물에서 뿐만 아니라 자연의 모든 현상에서도 발견되고 있음이 확인되었다. 이런 결과를 바탕으로 본 논문은 진화론과 지적 설계론 간의 첨예한 대립과 갈등의 문제를 해결할 방법과 함께 진화론과 지적 설계론이 학교교육의 현장에서 어떻게 다루어져야 되는지에 대한 논의를 제공하고 있다.