• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.5
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• pp.1037-1042
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• 2018

The neuromorphic technology has been researched for decades, which learns and processes the information by imitating the human brain. The hardware implementations of neuromorphic systems are configured with highly parallel processing structures and a number of simple computational units. It can achieve high processing speed, low power consumption, and low hardware complexity. Recently, the interests of the neuromorphic technology for low power and small embedded systems have been increasing rapidly. To implement low-complexity hardware, it is necessary to reduce input data dimension without accuracy loss. This paper proposed a low-complexity artificial intelligent engine which consists of parallel neuron engines and a feature extractor. A artificial intelligent engine has a number of neuron engines and its controller to process multimodal sensor data. We verified the performance of the proposed neuron engine including the designed artificial intelligent engines, the feature extractor, and a Micro Controller Unit(MCU).

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.6
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• pp.481-488
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• 2021

The satellite telecommand processing system is the only way to provide telecommands for status monitoring, control, and mission execution. Domestic satellites can be divided into science, technology, and multi-purpose satellites, and geostationary satellites. These Satellites uses CCSDS standard protocol to communicate with ground stations. However, existing domestic satellites use only software to decode telecommands which increases cost of software development and verification of the developed software. Performance of software only approach is relatively low compared to hardware. In this paper, we present ASIC processing system specifically designed to decode telecommands. The system consists of a telecommand RAM, a protocol RAM/ROM, an ASIC, an interface unit of FPGA, and a relay block. The system handles general commands and pulse commands that are used in satellites. We established a ground station equipment and test environment to verify the system functionality, The result shows that our system reduces the development cost by 1/5 and improves the performance by 10⁵ times compared to the previous systems that decode telecommands only by software.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.20-33
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• 2021

This study is to suggest improvements of personal information protection in South Korea, according to requiring the safety of process and protection of personal information. Accordingly, based on data collection and analysis through literature research, this study derived the issues and suitable standards of personal information for major artificial intelligence services. In addition, this cases studies were reviewed, focusing on the legal compliance and porcessing compliance for personal information proection in major countries. And it suggested the improvement plan applied in South Korea. As the results, in legal compliance, it is required reorganization of related laws, responsibility and compliance to develop and provide AI, and operation of risk management for personal information protection laws in AI services. In terms of processing compliance, first, in pre-processing and refining, it is necessary to standardize data set reference models, control data set quality, and voluntarily label AI applications. Second, in development and utilization of algorithm, it is need to establish and apply a clear regulation of the algorithm. As such, South Korea should apply suitable improvement tasks for personal information protection of safe AI service.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2000.05a
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• pp.201-209
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• 2000

정보산업의 발달과 함께 일반 사용자들의 데이터베이스의 사용이 증가함에 따라 부정확한 자연어 질의 처리를 할 수 있는 인공 지능적인 질의시스템이 필요하게 되었다. 이러한 질의시스템이 자연어 질의를 처리하려면 불확실한 데이터들에 대한 정보를 제공하는 MetaData가 반드시 필요하고, 데이터베이스 분야와 인공지능 분야의 이론들을 바탕으로 MetaData의 정형화 및 분류가 필요하다. 본 연구에서는 퍼지이론, 확률이론을 기초로 하여 소속척도, 근접추론, 유사관계, 데이터마이닝 기법 등을 이용하여 MetaData를 정형화하고 분류하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.459-465
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• 2000

최근 들어 인공지능과 뇌과학 분야의 연구성과를 힘입어 뇌의 기본기능을 이해하고 재구축하고자 하는 시도가 활발히 전개되고 있다. 뇌의 정보처리 기능을 실험관찰 방법으로 밝히고자 하는 신경과학, 마음의 정보 처리 기능을 역시 실험관찰 방법으로 이해하고자 하는 심리학, 그리고 정보처리모형의 구성법을 제시하는 컴퓨터과학을 통합함으로써 뇌와 마음의 작동을 정보과학의 입장에서 해명하고자 하는 접근방식이 현재 가장 가능성이 있다고 생각된다. 본 논문에서는 그와 같은 맥락에서 인공적으로 뇌를 구현하기 위하여 제안된 CAM-Brain을 소개하고, 로봇을 제어하는 문제에 적용한 예를 통하여 그 가능성을 보이고자 한다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2003.06a
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• pp.86-89
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• 2003

타일링을 통해 손실 압축된 데이터에 대해 점대칭 확장(point symmetric extension)을 사용하면 경계에서의 인공물(artifact)들을 줄일 수 있다 실제 확장 샘플 없이 경계 필터(boundary filter)를 사용하는 것과 같은 효과를 내는 방법을 리프팅(lifting)을 사용하여 수행할 수 있다. 본 논문에서 사용된 필터는 PR 특성을 준수하고, 경계근처에서 어떠한 후처리 기술이나 이웃하는 타일들로부터의 추가정보 없이 경계 인공물들을 현저히 감소시켰다.

• Annual Conference of KIPS
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• 2018.05a
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• pp.365-368
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• 2018

인공지능 기술이 발달하면서 챗봇 플랫폼이 주목받고 있다. 챗봇이란 규칙 또는 인공지능(AI)을 이용해 사용자와 상호작용을 하는 대화형 인터페이스다. 챗봇에서 대화를 처리하는 방법은 규칙기반 대화 시스템, 검색기능 대화 시스템, 생성기반 대화 시스템이 있다. 본 논문에서는 규칙 기반 대화 시스템을 바탕으로 하는 모바일 영화 챗봇 서비스를 개발하였다. 이를 통하여 사용자는 더 편리하게 영화 관련 정보를 제공받을 수 있다.

• Informatization Policy
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• v.30 no.3
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• pp.69-91
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• 2023

The impact of technological advancements on employment is a matter of ongoing debate, with discussions on the effects of AI technology development on employment being particularly scarce. This study employs the natural language processing technique (SBERT) and patents to calculate an occupation-based AI exposure score and to analyze employment trends by group. It proposes a method for calculating the AI exposure score based on the similarity between Korean patent information and US job descriptions and linking SOC(U.S.) and KSCO(Korea). The analysis of domestic AI patent applications and regional employment data in the KOSIS Database since 2013 reveals a K-shaped polarization pattern in Korean employment trends among groups with above and below average levels of AI exposure.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.240-247
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• 2020

There have been many efforts to understand the trends of IT environments that have been rapidly changed. In a view point of management, it needs to prepare the social systems in advance by using Big-data these days. This research is for the implementation of Issue Analysis System for the Big-data based on Artificial Intelligence. This paper aims to confirm the possibility of new technology for Big-data processing through the proposed Issue Analysis System using. We propose a technique for semantic reasoning and pattern analysis based on the AI and show the proposed method is feasible to handle the Big-data. We want to verify that the proposed method can be useful in dealing with Big-data by applying latest security issues into the system. The experiments show the potentials for the proposed method to use it as a base technology for dealing with Big-data for various purposes.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.8
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• pp.315-320
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• 2014

Composition is a creative activity of a composer in order to express his or her emotion into melody based on their experience. However, it is very hard to implement an automatic composition program whose composition process is the same as the composer. On the basis that the creative activity is possible from the imitation we propose a method to implement an automatic composition system using the learning capability of ANN(Artificial Neural Networks). First, we devise a method to convert a melody into time series that ANN can train and then another method to learn the repeated melody with melody bar for correct training of ANN. After training of the time series to ANN, we feed a new time series into the ANN, then the ANN produces a full new time series which is converted a new melody. But post processing is necessary because the produced melody does not fit to the tempo and harmony of music theory. In this paper, we applied a tempo post processing using tempo post processing program, but the harmony post processing is done by human because it is difficult to implement. We will realize the harmony post processing program as a further work.