• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제13권2호
• /
• pp.91-99
• /
• 2013

An autonomous unmanned underwater vehicle is a type of marine self-propelled robot that executes some specific mission and returns to base on completion of the task. In order to successfully execute the requested operations, the vehicle must be guided by an effective navigation algorithm that enables it to avoid obstacles and follow the best path. Architectures and principles for intelligent dynamic systems are being developed, not only in the underwater arena but also in related areas where the work does not fully justify the name. The problem of increasing the capacity of systems management is highly relevant based on the development of new methods for dynamic analysis, pattern recognition, artificial intelligence, and adaptation. Among the large variety of navigation methods that presently exist, the dynamic window approach is worth noting. It was originally presented by Fox et al. and has been implemented in indoor office robots. In this paper, the dynamic window approach is applied to the marine world by developing and extending it to manipulate vehicles in 3D marine environments. This algorithm is provided to enable efficient avoidance of obstacles and attainment of targets. Experiments conducted using the algorithm in MATLAB indicate that it is an effective obstacle avoidance approach for marine vehicles.

• Journal of Welding and Joining
• /
• 제17권5호
• /
• pp.40-46
• /
• 1999

The sensors employed in the robotic are welding system must detect the changes in weld characteristics and produce the output that is in some way related to the change being detected. Such adaptive systems, which synchronise the robot arm and eyes using a primitive brain will form the basis for the development of robotic GMA(Gas Metal Arc) welding which increasingly higher levels of artificial intelligence. The objective of this paper is to realize the mapping characteristics of bead height through learning. After learning, the neural estimation can estimate the bead height desired from the learning mapping characteristic. The design parameters of the neural network estimator(the number of hidden layers and the number of nodes in a layer) are chosen from an estimation error analysis. A series of bead of bead-on-plate GMA welding experiments was carried out in order to verify the performance of the neural network estimator. The experimental results show that the proposed neural network estimator can predict the bead height with reasonable accuracy and guarantee the uniform weld quality.

• 보건행정학회지
• /
• 제28권3호
• /
• pp.272-279
• /
• 2018

Since the introduction of new health technology assessment in 2007, benefit coverage process of health insurance related to new health technology has become an upgraded system through the evidence-based decisions. As a result of enforcing this system for 10 years, however, there have been several rising concerns. It needs to support the insufficient evidence of medical technologies, introduce reassessment system for post management of market entry technologies, and improve evaluation methods and process. In addition, there is the possibility of emerging an unheard-of medical technology, fused various categories like artificial intelligence, robot, information technology, physics and life science in the fourth industrial revolution. Now, new updated system introduced to improve new technology assessment, such as 'limited health technology assessment system,' 'system for postponement of new health technology assessment,' 'one-stop service system,' and 'integrated operation of approval for medical devices and new health technology assessment.' Therefore it needs to prepare the improvement plan for new health technology assessment to be established more advanced system, and we have to resolve concerns by communication with various healthcare experts and patients now and for ever.

• 한국게임학회 논문지
• /
• 제20권3호
• /
• pp.85-94
• /
• 2020

작업자-로봇 간 협업은 다품종 소량생산 기반의 스마트팩토리에서 중요한 요소가 된다. 기존 제조 공장을 스마트화하기 위해 AI 기반의 기술이 도입되고 있지만 이 경우 단기적 생산성 향상에 그친다. 이를 해결하기 위한 협업 지성은 인간의 팀워크, 창의력 등과 AI의 속도, 정확성 등이 결합되어 서로의 단점을 적극적으로 보완 할 수 있다. 그러나 현재 자동화설비는 돌발사태 발생 시 재해강도가 높기 때문에 안전대책이 요구된다. 따라서 본 논문에서는 깊이 영상 카메라를 이용하여 작업자 및 설비를 가상 세계에 구현하고, 시뮬레이션을 통해 작업자의 안전을 판별하는 공장 안전 제어 시스템을 설계하고 구현한다.

• 한국정보통신학회논문지
• /
• 제11권10호
• /
• pp.1977-1985
• /
• 2007

문자 인식은 인공지능의 한 분야로써 자동화 시스템, 로봇, HCI 분야에서 그 응용성 이 증대되고 있는 첨단 기술이다. 본 논문에서는 숫자, 기호, 영어, 한글이 여러 가지 형태로 조합되어 사용될 수 있는 영역에서의 문자 인식을 위해 인식 문자 집합과 대표 문자를 도입하였다. 여러 가지 조합의 언어 집합에 따른 소규모 인식기를 계층적으로 조합하여 인식 결과의 정확성을 높이고 시간 비용을 줄일 수 있는 효율적인 인식기 구조를 제안하였다. 그리고 학습 성능이 우수한 Delta-bar-delta 알고리즘을 이용하여 개별 소규모 인식기를 학습한 다음 다양한 개별 문자를 대상으로 그 인식 성능을 살펴본 결과 99%의 인식률을 획득함으로써 혼용 언어 문자 인식의 효율성과 신뢰성을 증명하였다.

• International journal of advanced smart convergence
• /
• 제9권4호
• /
• pp.173-178
• /
• 2020

As the fourth industrial revolution, in which people, objects, and information are connected as one, various fields such as smart energy, smart cities, artificial intelligence, the Internet of Things, unmanned cars, and robot industries are becoming the mainstream, drawing attention to big data. Among them, Smart Grid is a technology that maximizes energy efficiency by converging information and communication technologies into the power grid to establish a smart grid that can know electricity usage, supply volume, and power line conditions. Smart meters are equient that monitors and communicates power usage. We start with the goal of building a virtual smart grid and constructing a virtual environment in which real-time data is generated to accommodate large volumes of data that are small in capacity but regularly generated. A major role is given in creating a software/hardware architecture deployment environment suitable for the system for test operations. It is necessary to identify the advantages and disadvantages of the software according to the characteristics of the collected data and select sub-projects suitable for the purpose. The collected data was collected/loaded/processed/analyzed by the Hadoop ecosystem-based big data platform, and used to predict power demand through deep learning.

• 식품과학과 산업
• /
• 제49권4호
• /
• pp.19-30
• /
• 2016

Food industry in Korea is one of the most important manufacturing field since the history of this country. Recent days all industries in the world move to $4^{th}$ industrial revolution beginning from 1st revolution. This means that connections between human to human, human to things and things to things should be settled down. food industry in this country should escape from the conventional manufacturing fields until now and accept new or cutting edge technology NT including artificial intelligence robot system and platform system using Internet of Thing. To overcome the saturation condition of domestic food market, it should be extended our market to overseas. To do this Korean food industry should be reformed the processing system to convergence and fusion inner or multi-disciplinary research in not only research field but also manufacturing field. The food industry must introduce new technology and concept of controlling all manufacturing systems. This paper present the fields should be convergence and the field study together and the new techniques, methods and new products be developed in the future.

• 식품과학과 산업
• /
• 제50권2호
• /
• pp.60-73
• /
• 2017

Recently, the whole world is facing an unprecedented moment of opportunity, so-called The Fourth Industrial Revolution. As emphasized in the World Economic Forum held in January of 2016 at Davos, the Fourth Industrial Revolution is not merely a changes of technological devices. The fundamental of the revolution is new, innovative, and visionary business models which change the whole systems dramatically. One of the greatest challenges is to feed an expected population of 9 billion by 2050 in a impactful way. The system should be sustainable as well as beneficial in improving the lives of people in the food chain along with the ecological health of environment. The technological advances of the Fourth Industrial Revolution are expected to improve our food system. The smart farm technology such as precision planting and irrigation techniques will improve the yields of food materials. The smart food transportation and logistics systems will substantially improve the safety and human nutrition. The adaptation the Fourth Industrial Revolution technology will induce the smart supply chains, smart production, and smart products in food industry due to its flexibility and standardization. This will lead the manufactures to adapt to customers' changing product specifications and traceable services in a timely manner.

• 한국의류산업학회지
• /
• 제23권6호
• /
• pp.790-798
• /
• 2021

With digital technology innovation, increased data access and mobile network use by consumers, products and services are changing toward pursuing differentiated values for personalization, and personalized markets are rapidly emerging in the fashion industry. This study aims to identify trends in digital customized automation technology by deriving types of digital customizing and analyzing cases by type, and to present directions for the development of digital customizing processes and the use of technology in the future. As a research method, a literature study for a theoretical background, a case study for classification and analysis of types was conducted. The results of the study are as follows. The types of digital customizing can be classified into three types: 'cooperative customization', 'selective composition and combination', 'transparent suggestion', and automation technologies shown in each type include 3D printing, 3D virtual clothing, robot mannequin, human automatic measurement program, AR-based fitting service, big data, and AI-based curation function. With the development of digital automation technology, the fashion industry environment is also changing from existing manufacturing-oriented to consumer-oriented, and the production process is rapidly changing with IT and artificial intelligence-based automation technology. The results of this study hope that digital customized automation technology will meet various needs of personalization and customization and present the future direction of digital fashion technology, where fashion brands will expand based on the spread of digital technology.

• 센서학회지
• /
• 제30권6호
• /
• pp.429-435
• /
• 2021

In this study, the creation of emotional dialogue was investigated within the process of developing a robot's natural language understanding and emotional dialogue processing. Unlike an English-based dataset, which is the mainstay of natural language processing, the Korean-based dataset has several shortcomings. Therefore, in a situation where the Korean language base is insufficient, the Korean dataset should be dealt with in detail, and in particular, the unique characteristics of the language should be considered. Hence, the first step is to base this study on a specific Korean dataset consisting of conversations on emotional topics. Subsequently, a model was built that learns to extract the continuous dialogue features from a pre-trained language model to generate sentences while maintaining the context of the dialogue. To validate the model, a chatbot system was implemented and meaningful results were obtained by collecting the external subjects and conducting experiments. As a result, the proposed model was influenced by the dataset in which the conversation topic was consultation, to facilitate free and emotional communication with users as if they were consulting with a chatbot. The results were analyzed to identify and explain the advantages and disadvantages of the current model. Finally, as a necessary element to reach the aforementioned ultimate research goal, a discussion is presented on the areas for future studies.