• Journal of Intelligence and Information Systems
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• v.15 no.3
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• pp.17-29
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• 2009

C programming is a main programming for the Educational Robot Arm which is based on AVR ATmega128. The development environment is not integrated, so it is complex and difficult to study for middle or high school students who want to learn programming and control the educational robot arm. Furthermore, there is no debug and testing environment support. This paper presents a Java-based development platform for the educational robot arm. This platform includes: an up-to-date tiny Java Virtual Machine (NanoVM) for the educational robot arm; An Eclipse based Java integrated development environment as an Eclipse plug-in; a 3D simulator on the PCs to support testing and debugging programs without real robots. The Java programming environment makes development for educational robot arm easier for students.

• The KIPS Transactions:PartB
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• v.9B no.1
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• pp.23-28
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• 2002

A fundamental problem in building an intelligent agent is that an agent does not understand the meaning of its perception or its action. One reason that an agent cannot understand the world is partially caused by a syntactic approach that converts a semantic feature into a simple string. To solve this problem, Cohen introduces a semantic approach that an agent autonomously learns a meaningful representation of physical schemas, on which some advanced conceptual structures are built, from physically interacting with environment using its own sensors and effectors. However, Cohen does not deal with a meta level of conceptual primitive that makes recognizing a schema possible. We propose that negation is a meta schema that enables an agent to recognize a physical schema. We prove some semantic aspects of negation.

• Journal of Korean Library and Information Science Society
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• v.15
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• pp.153-178
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• 1988

This paper consists of three chapters. Changes and objectives of library automation are discussed in chapter 1 and 2 respectively. The dominant trends in library automation which begun in 1960's can be described ; the 1960's was dominated by primitive local systems and the 1970's by online networks. And in the 1980's, there is a return to local system but with various options to networks. The major objectives of library automation are to improve speed of technical process, to get economic efficiency, and to provide better services. But the library planning automation should take account of experiences of the others that those objectives are not easily achieved. The impact of automation on a library is discussed in chapter 3. First, emphasis of libraries shifts from a collection orientation to an access orientation. Computer allowed to access not only to materials of their own library but also to those of others. Second, libraries should reconsider all their activities and services. Those must be reorganized by several principles such as rationalization, intelligent use of automation, and maximizing of human self-fulfillment. Third, change on organizational structure is anticipated. Flat organization in stead of existing hierarchy will provide rapid communication for problem - solving and intensify professionalism. Machine with proper capabilities and well programed software are prerequisites for library automation. But beyond these prerequisites, human factor should be stressed as well as mechanical factor. Therefore, understanding of changes due to automation, aggressive acceptance of trend, and su n.0, pport of organization are required in order to get successful results.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.5
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• pp.499-506
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• 2007

The tiny camera module used in a modern cellular phone requires precise assembly processes. To meet the requirement of high resolution and functionality, the number of parts used in a camera module becomes larger and larger. As the market grows rapidly, an automatic camera phone assembly process is required. However, diverse production line and short life cycle make it difficult to build an affordable assembly line. To attack this problem, a flexible and expandable lens assembly system is proposed. To save the manufacturing line set-up time, modular concept is adopted. Also, each module is designed to have intelligence to simplify the set-up process. The assembly system is built up on the standard flat-form that includes a vibration free base, air and electric supplies, and electronic controllers, etc. Furthermore, the assembly cell has the capability of handling tiny, thin, or transparent parts which are very difficult to identify without machine vision.

• IEMEK Journal of Embedded Systems and Applications
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• v.15 no.3
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• pp.119-127
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• 2020

The detection and recognition of abnormal driving becomes crucial for achieving safety in Intelligent Transportation Systems (ITS). This paper presents a feature extraction method based on spectral data to train a neural network model for driving behavior recognition. The proposed method uses a two stage signal processing approach to derive time-saving and efficient feature vectors. For the first stage, the feature vector set is obtained by calculating variances from each frequency bin containing the power spectrum data. The feature set is further reduced in the second stage where an intersection method is used to select more significant features that are finally applied for training a neural network model. A stream of live signals are fed to the trained model which recognizes the abnormal driving behaviors. The driving behaviors considered in this study are weaving, sudden braking and normal driving. The effectiveness of the proposed method is demonstrated by comparing with existing methods, which are Particle Swarm Optimization (PSO) and Convolution Neural Network (CNN). The experiments show that the proposed approach achieves satisfactory results with less computational complexity.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.228-234
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• 2007

한국과학기술원 인간친화복지로봇 연구센터에서 개발 중인 ISH(Intelligent Sweet Home)는 다양한 서비스 로봇 및 인간-기계 인터페이스(HMI:Human-Machine Interface)를 통해서 노약자 및 장애인의 일상 생활을 도와 줄 수 있는 지능형 주거 공간이다. ISH에서는 홈네트워크를 통해 연결된 가전 기기 및 환경 정보 취득이 가능한 센서 장비, 그리고 지능형 침대, 휠체어, 이동 보조 로봇 등이 거주자가 독립 생활을 영위할 수 있도록 여러 가지 서비스를 제공한다. 하지만 노약자 및 장애인의 관점에서 서비스 양의 증가뿐만 아니라, 이를 쉽고 편하게 운용할 수 있는 서비스 질의 측면 또한 중요하게 고려하여야 한다. 이러한 이유 때문에, ISH에서는 집사 로봇(steward robot)의 개념을 도입하여 거주자와 복잡한 시스템의 효율적인 매개체로 사용하고 있다. 사용자의 편의를 추구하기 위한 공학적인 접근방법 중의 하나로, 본 논문에서는 집사 로봇의 작업 계획 기능에 대해서 설명하도록 한다. 작업 계획 시스템을 이용하여, 집사 로봇은 사용자의 상위 레벨 명령을 해석하여 각 로봇 또는 제어 가능 개체들을 제어하게 된다. 제안하는 시스템은 STRIPS(STanford Research Institute Problem Solver) 상태 표현 방법과 그래프계획(Graphplan) 방법에 기반하여 작업 계획을 수행한다. 또한 작업 계획 속도를 증가 시키기 위하여 공간 추상화(world abstraction)와 하위 목표 계획(subgoal planning)의 개념을 적용하였다. 그리고 ISH에서 정의된 시나리오를 이용한 상위 레벨 명령을 통해 제안된 시스템의 효용성을 검증하도록 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.579-582
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• 2011

Variable mechanism perceives height and location of the person who use Kiosk system then control the machine to proper height and location. In this paper, we propose ADALINE-Fuzzy logic system control method for control height and direction of the variable kiosk. To prove usefulness of proposed system, we performed Widrow-Hoff delta rule experiment and carried out examination and comparison of control performance about heigh and direction of the person using kiosk system.

• Transactions of the Korean Society of Mechanical Engineers
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• v.18 no.4
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• pp.805-815
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• 1994

The development of automatic production systems has a trend toward Computer Integrated Manufacturing System(CIMS) in recent years. In hardware configuration, CIMS are composed of intelligent CAD/CAM work stations, multifunction CNC machining centers including material handling systems. The DNC systems present the key element of automation hierarchy in a FMS. A DNC system is one which connects a number of numerically-controlled machines to a common memory in a digital computer for part program storage with provision for on-demand distribution of part program data to machines using communication in hierarchical structure of central computer, control computer and cell controller. This paper describes the development of Behind-the-Tape-Reader(BTR) type DNC system using CYBER 180-830 as a central computer and IBM PC-386 cell control computer and NC lathe with FANUC 5T NC controller. In this system, the connection between central computer and cell control computer is done via RS-232C serial interface board, and the connection between cell control computer and FANUC 5T controller is done via parallel interface board. The software consists of two module, central computer communication module for NC program downloading and status uploading, NC machine running module for NC operating.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.17 no.6
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• pp.71-76
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• 2008

The focus of this paper is the designing a flexible three fingered hand system with 16 D.O.F for dynamic manipulation with an intelligent controller, and to build a useful database for dynamic manipulation based on the experimental results. The weight of the hand module is only 0.7 kg, but flexible motion and powerful grasping are possible. To achieve such a dynamic motion in a robotic hand, we have developed a flexible fingered hand with a control system incorporating image recognition system in which we deal with the problems of not only accuracy and range of motion but also the flexibility of hand. The fingers are arranged so as to grasp both circular and prismatic objects. In order to achieve the light mechanism, we reduced the number of joints and fingers as much as possible. We used three fingers, which is the minimum number to achieve a stable grasp.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3270-3294
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• 2020

Some things come easily to humans, one of them is the ability to navigate around. This capability of navigation suffers significantly in case of partial or complete blindness, restricting life activity. Advances in the technological landscape have given way to new solutions aiding navigation for the visually impaired. In this paper, we analyze the existing works and identify the challenges of path selection, context awareness, obstacle detection/identification and integration of visual and nonvisual information associated with real-time assisted mobility. In the process, we explore machine learning approaches for robotic path planning, multi constrained optimal path computation and sensor based wearable assistive devices for the visually impaired. It is observed that the solution to problem is complex and computationally intensive and significant effort is required towards the development of richer and comfortable paths for safe and smooth navigation of visually impaired people. We cannot overlook to explore more effective strategies of acquiring surrounding information towards autonomous mobility.