• 문화기술의 융합
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• 제5권3호
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• pp.9-23
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• 2019

인공지능 스피커 시장은 디스플레이 탑재라는 새로운 흐름 속에 놓여 있다. 이 연구는 디스플레이 유무에 따른 인공지능 스피커 사용 경험의 차이를 사용 맥락에 따라 분석하고자 한다. 이를 위해 아마존 에코 쇼(Echo Show)와 에코 플러스(Echo Plus)의 온라인 리뷰 텍스트가 어떠한 구조적 차이를 보이며 차별화된 UX 이슈들로 구성되어 있는지 의미연결망 분석을 통해 살펴보고자 한다. 사용자 경험의 물리적 맥락과 사회적 맥락에 따른 에고 네트워크 분석을 실시하여 주요 이슈를 도출하였다. 분석 결과 디스플레이 탑재에 따라 사용자의 기대격차가 발생하고 이로 인해 부정적 경험이 유도되는 것으로 나타났다. 또한, 멀티모달 인터페이스는 침실보다 부엌에서 활용도가 높으며, 가족 구성원 간의 커뮤니케이션 활성화에 기여할 수 있음을 확인하였다. 이러한 발견을 바탕으로 향후 국내에서도 출시될 디스플레이형 스피커가 고려해야 할 사용자 경험 전략을 제안한다.

• 한국정밀공학회지
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• 제18권7호
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• pp.179-185
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• 2001

Porthole die extrusion is profitable to manufacture long tube with hollow section. The material through portholes is gathered within chamber and welded under high pressure. This weldability which classifies the quality of tube product is affected by several variables and die shape. But, porthole die extrusion has been executed on the experience of experts due to the complicated die assembly and complexity of metal flow. Analytic approaches that are useful in profitable die design and in the improvement of productivity are inevitably demanded. Therefore, the objective of this study is respectively to analyze the behavior of metal flow and to determine welding pressure of hot extrusion product according to the various billet temperature, bearing length and tube thickness by FE analysis and its results are compared with tube expanding tests.

• 로봇학회논문지
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• 제15권4호
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• pp.316-322
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• 2020

Endoscopic spine surgery is an advanced surgical technique for spinal surgery since it minimizes skin incision, muscle damage, and blood loss compared to open surgery. It requires, however, accurate positioning of an endoscope to avoid spinal nerves and to locate the endoscope near the target disk. Before the insertion of the endoscope, a guide needle is inserted to guide it. Also, the result of the surgery highly depends on the surgeons' experience and the patients' CT or MRI images. Thus, for the training, a number of haptic simulators for spinal needle insertion have been developed. But, still, it is difficult to be used in the medical field practically because previous studies require manual segmentation of vertebrae from CT images, and interaction force between the needle and soft tissue has not been considered carefully. This paper proposes AI-based automatic vertebrae CT-image segmentation and haptic rendering method using the proposed need-tissue interaction model. For the segmentation, U-net structure was implemented and the accuracy was 93% in pixel and 88% in IoU. The needle-tissue interaction model including puncture force and friction force was implemented for haptic rendering in the proposed spinal needle insertion simulator.

• International Journal of Contents
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• 제15권4호
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• pp.1-7
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• 2019

As the recent developments of artificial intelligence, particularly machine-learning, impact every aspect of society, they are also increasingly influencing creative fields manifested as new artistic tools and inspirational sources. However, as more artists integrate the technology into their creative works, the issues of diversity and fairness are also emerging in the AI-based creative practice. The data dependency of machine-learning algorithms can amplify the social injustice existing in the real world. In this paper, we present an interactive visualization system for raising the awareness of the diversity and fairness issues. Rather than resorting to education, campaign, or laws on those issues, we have developed a web & ML-based interactive data visualization system. By providing the interactive visual experience on the issues in interesting ways as the form of web content which anyone can access from anywhere, we strive to raise the public awareness of the issues and alleviate the important ethical problems. In this paper, we present the process of developing the ML-based interactive visualization system and discuss the results of this project. The proposed approach can be applied to other areas requiring attention to the issues.

• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.15-24
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• 2023

One of the objectives and aspirations of scientists and engineers ever since the development of computers has been to interact naturally with machines. Hence features of artificial intelligence (AI) like natural language processing and natural language generation were developed. The field of AI that is thought to be expanding the fastest is interactive conversational systems. Numerous businesses have created various Virtual Personal Assistants (VPAs) using these technologies, including Apple's Siri, Amazon's Alexa, and Google Assistant, among others. Even though many chatbots have been introduced through the years to diagnose or treat psychological disorders, we are yet to have a user-friendly chatbot available. A smart generative cognitive behavioral therapy with spoken dialogue systems support was then developed using a model Persona Perception (P2) bot with Generative Pre-trained Transformer-2 (GPT-2). The model was then implemented using modern technologies in VPAs like voice recognition, Natural Language Understanding (NLU), and text-to-speech. This system is a magnificent device to help with voice-based systems because it can have therapeutic discussions with the users utilizing text and vocal interactive user experience.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 추계학술발표대회
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• pp.481-483
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• 2022

With the advent of the era of artificial intelligence, more and more fields have begun to use artificial intelligence technology, especially the medical field. Cancer is one of the biggest problems in the medical field. [1] If it can be detected early and treated early, the possibility of cure will be greatly increased. Malignant skin cancer, as one of the types of cancer with the highest fatality rate in recent years has problems such as relying on the experience of doctors and being unable to be detected and detected in time. Therefore, if artificial intelligence technology can be used to help doctors in early detection of skin cancer, or to allow everyone to detect skin lesions or spots anytime, anywhere, it will have great practical significance. In this paper we used attention residual learning convolutional neural network (ARL-CNN) model [2] to classify skin cancer pictures.

• Journal of Korea Artificial Intelligence Association
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• 제2권1호
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• pp.1-6
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• 2024

In this paper, we develop an AI-based recommendation system that matches the specifications of smartphones from company 'S'. The system aims to simplify the complex decision-making process of consumers and guide them to choose the smartphone that best suits their daily needs. The recommendation system analyzes five specifications of smartphones (price, battery capacity, weight, camera quality, capacity) to help users make informed decisions without searching for extensive information. This approach not only saves time but also improves user satisfaction by ensuring that the selected smartphone closely matches the user's lifestyle and needs. The system utilizes unsupervised learning, i.e. clustering (K-MEANS, DBSCAN, Hierarchical Clustering), and provides personalized recommendations by evaluating them with silhouette scores, ensuring accurate and reliable grouping of similar smartphone models. By leveraging advanced data analysis techniques, the system can identify subtle patterns and preferences that might not be immediately apparent to consumers, enhancing the overall user experience. The ultimate goal of this AI recommendation system is to simplify the smartphone selection process, making it more accessible and user-friendly for all consumers. This paper discusses the data collection, preprocessing, development, implementation, and potential impact of the system using Pandas, crawling, scikit-learn, etc., and highlights the benefits of helping consumers explore the various options available and confidently choose the smartphone that best suits their daily lives.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 가을학술발표대회논문집
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• pp.235-236
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• 2023

The process of construction site supervision plays a crucial role in ensuring safety and quality assurance in construction projects. However, traditional methods of supervision largely depend on human vision and individual experience, posing limitations in quickly detecting and preventing all defects. In particular, the thorough supervision of expansive sites is time-consuming and makes it challenging to identify all defects. This study proposes a new construction supervision system that utilizes vision processing technology and Artificial Intelligence(AI) to automatically detect and analyze defects as a solution to these issues. The system we developed is provided in the form of an application that operates on portable devices, designed to a lower technical barrier so that even non-experts can easily aid construction site supervision. The developed system swiftly and accurately identifies various potential defects at the construction site. As such, the introduction of this system is expected to significantly enhance the speed and accuracy of the construction supervision process.

• 경영정보학연구
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• 제22권2호
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• pp.77-99
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• 2020

스마트 스피커는 인공지능을 활용하여 음악, 일정, 날씨, 상품 등 다양한 정보와 콘텐츠들을 검색, 이용할 수 있는 대화형 음성 기반 서비스를 제공하는 기기이다. 인공지능 기술은 데이터가 축적될수록 이를 활용하여 더욱 정교하고 최적화된 서비스를 이용자에게 제공한다. 따라서 스마트 스피커 제조사들은 초기에 공격적인 마케팅을 통해 플랫폼 구축에 힘썼다. 하지만 스마트 스피커의 사용빈도는 월 1회 미만이 전체의 3분의 1 이상을 차지하고, 사용자 만족도도 49%에 그치는 것으로 나타났다. 이에 지속적인 이용활성화와 만족도 증진을 위해 스마트 스피커의 사용자 경험을 강화할 필요성이 대두되었다. 이에 본 연구에서는 스마트 스피커의 사용자 경험을 분석하고, 이를 바탕으로 스마트 스피커의 사용자 경험 강화 방안을 제시하고자 한다. 본 연구는 사용자가 직접 작성한 실제 리뷰 데이터를 수집하여 스마트 스피커 사용자 경험 차원을 기반으로 분석 결과를 해석했다는 점에서 의의가 있다. 또한 스마트 스피커 사용자 경험 차원을 개발하여 텍스트 마이닝 결과를 해석한 것에서 학술적 의의가 있다. 본 연구 결과를 통해 스마트 스피커 제조사에게 실무적으로 사용자 경험 강화를 위한 전략을 제안할 수 있다.

• 공학교육연구
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• 제11권4호
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• pp.19-33
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• 2008

본 연구의 목적은 인공지능 채팅로봇 수업방법과 컴퓨터 흥미도가 교수-학습에 미치는 영향을 살펴보는 것으로 연구결과는 다음과 같다. 첫째, 인공지능 채팅로봇 수업방법과 컴퓨터 흥미도가 학업성취도에 미치는 영향을 살펴본 결과, 컴퓨터 흥미도 수준이 집단간 학업성취도에 미치는 효과는 없었다. 둘째, 인공지능 채팅로봇 수업방법과 컴퓨터 흥미도가 학습동기에 미치는 영향을 살펴본 결과, 컴퓨터 흥미도가 집단간 학습동기에 미치는 효과가 나타났다. 셋째, 사후 피드백을 분석한 결과를 살펴보면, 인공지능 채터봇 채팅수업(방법)의 장점은 '새로움(신선함), '시공초월', '반복학습'이었고, 단점은 '답변고정', '정서성 부족'이었다. 그리고 제안점으로는 '문제해결중심'이 도출되었다. 넷째, 학업성취도, 학습동기, 피드백 간의 관계를 살펴본 결과, 학업성취도, 학습동기, 피드백 간의 상관관계는 모두 없는 것으로 드러났다. 이런 점들은 인공지능 채터봇에 대한 다각적 교수설계전략의 필요성을 제시해준다.