• 제어로봇시스템학회논문지
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• 제22권12호
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• pp.1040-1045
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• 2016

An inventory control system was developed for multiproduct batch plants with an arbitrary number of batch processes and storage units. Customer orders are received by the plant at intervals and in quantities that are subject to random fluctuations. The objective of the plant operation is to minimize the total cost while maintaining inventory levels within the storage or warehouse capacity by adjusting the startup times, the quantities of raw material orders, and production batch sizes. An adaptive model-based control algorithm was developed that uses a periodic square wave model to represent the flows of material between the processes and the storage units. The effectiveness of this approach was demonstrated by performing simulations.

• 한국IT서비스학회지
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• 제10권1호
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• pp.135-149
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• 2011

In this paper, we propose the high-risk group detection model for patients with high blood pressure using case-based reasoning. The proposed model can be applied for public health maintenance organizations to effectively manage knowledge related to high blood pressure and efficiently allocate limited health care resources. Especially, the focus is on the development of the model that can handle constraints such as managing large volume of data, enabling the automatic learning to adapt to external environmental changes and operating the system on a real-time basis. Using real data collected from local public health centers, the optimal high-risk group detection model was derived incorporating optimal parameter sets. The results of the performance test for the model using test data show that the prediction accuracy of the proposed model is two times better than the natural risk of high blood pressure.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권4호
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• pp.268-275
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• 2014

In future, hospitals are expected to automatically issue remote transcriptions. Many general hospitals are planning to encrypt their medical database to secure personal information as mandated by law. The electronic medical record system, picture archiving communication system, and the clinical data warehouse, amongst others, are the preferred targets for which stronger security is planned. In the near future, medical systems can be assumed to be automated and connected to remote locations, such as rural areas, and islands. Connecting patients who are in remote locations to medical complexes that are usually based in larger cities requires not only automatic processing, but also a certain amount of security in terms of medical data that is of a sensitive and critical nature. Unauthorized access to patients' transcription data could result in the data being modified, with possible lethal results. Hence, personal and sensitive data on telemedicine and medical information systems should be encrypted to protect patients from these risks. Login passwords, personal identification information, and biological information should similarly be protected in a systematic way. This paper proposes the use of electronic acupuncture with a built-in multi-pad, which has the advantage of being able to establish a patient's physical condition, while simultaneously treating the patient with acupuncture. This system implements a sensing pad, amplifier, a small signal drive circuit, and a digital signal processing system, while the use of a built-in fuzzy technique and a control algorithm have been proposed for performing analyses.

• 정보처리학회논문지D
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• 제15D권2호
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• pp.187-196
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• 2008

새로운 패러다임의 시스템 개발 접근 방법은 OMG(Object Management Group)에서 MDA(Model Driven Architecture)로 표준화하고 있다. MDA의 핵심 기술은 모델 중심의 시스템 구현을 위한 기술 구조를 정의하는 것으로 시스템의 설계 및 명세에 대한 구현 기술을 플랫폼 독립적 모델(PIM : Platform Independent Model)로 설계한 후, 구현 환경에 적합한 플랫폼 종속적 모델(PSM : Platform Specific Model)로 설계하여 구현환경에 맞는 언어로 변환하는 기술이다. MDA의 핵심인 MOF(Meta-Object Facility), UML, XMI(XML Metadata Interchange), CWM(Common Warehouse Metamodel) 표준 등이 포함된다. MDA 지원 자동화 툴들은 위의 정보들을 갖고 변환 작업을 수행한 후 실행 가능한 시스템으로 생산해 내는 것이다.[1] 본 논문에서는 MDA기반 접근 방법을 적용하여 학사관리 시스템을 설계 및 구현하고, MDA기반 접근 방법에 대한 모델링의 중요성을 강조하였다. 또한 소프트웨어를 효율적으로 개발하는 방법을 제시하여 플랫폼 독립적 모델(PIM)로 작성하고, 플랫폼 종속적 모델(PSM)을 J2EE 플랫폼 기반의 EJB(Enterprise Java Beans)로 변환하는 과정 등을 제시하였다. MDA를 지원하는 자동화 툴 및 편집기(Together Architect 2006 for Eclipse, Edit plus 2)와 데이터베이스 모델링 툴(ER/WIN 4.1)을 사용하여 시스템 설계 및 구현을 하였으며, 전통적 개발 프로세스와 MDA 기반 개발 프로세스에 대한 유효성 분석 결과를 제시하였다.

• 전기학회논문지
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• 제57권11호
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• pp.1910-1915
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• 2008

The load analysis for the distribution system and facilities has relied on measurement equipment. Moreover, load monitoring incurs huge costs in terms of installation and maintenance. This paper presents a new model to analyze wherein facilities load under a feeder every 15 minutes using meter reading data that can be obtained from a power consumer every 15 minute or a month even without setting up any measuring equipment. After the data warehouse is constructed by interfacing the legacy system required for the load calculation, the relationship between the distribution system and the power consumer is established. Once the load pattern is forecasted by applying clustering and classification algorithm of temporal data mining techniques for the power customer who is not involved in Automatic Meter Reading(AMR), a single-line diagram per feeder is created, and power flow calculation is executed. The calculation result is analyzed using various temporal and spatial analysis methods such as Internet Geographic Information System(GIS), single-line diagram, and Online Analytical Processing (OLAP).

• 로봇학회논문지
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• 제18권1호
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• pp.93-98
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• 2023

In this paper, the development of an autonomous electric vehicle for logistics with a robotic arm is introduced. The manual driving electric vehicle was converted into an electric vehicle platform capable of autonomous driving. For autonomous driving, an encoder is installed on the driving wheels, and an electronic power steering system is applied for automatic steering. The electric vehicle is equipped with a lidar sensor, a depth camera, and an ultrasonic sensor to recognize the surrounding environment, create a map, and recognize the vehicle location. The odometry was calculated using the bicycle motion model, and the map was created using the SLAM algorithm. To estimate the location of the platform based on the generated map, AMCL algorithm using Lidar was applied. A user interface was developed to create and modify a waypoint in order to move a predetermined place according to the logistics process. An A-star-based global path was generated to move to the destination, and a DWA-based local path was generated to trace the global path. The autonomous electric vehicle developed in this paper was tested and its utility was verified in a warehouse.

• 전자공학회논문지CI
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• 제48권4호
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• pp.61-67
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• 2011

현재 유통 관리에서 RFID 도입시 기술적으로 성능 개선이 많이 필요한 부분 중 하나가 RFID Tag Anti-Collision 기술이다. 즉 RFID 다중 인식시 발생하는 Tag Collision 현상을 개선할 수 있도록 현존하는 대부분의 RFID 리더기에 적용될 수 있는 새로운 스캐닝 알고리즘을 도입하였다. 본 논문에서는 제시된 알고리즘을 실제로 물류 현장에 적용시켰을 때 다중 인식 성능이 기존보다 30% 가량 개선된 사례를 제시한다. 유통 현장에서 RFID 다중 인식 성능을 높이기 위해 본문에서 제시한 알고리즘을 RFID 리더모듈과 연결된 PDA(컨트롤러)의 미들웨어에 구현하여 탑재하고 실제적으로 RFID 재고조사 실험데이터를 축적하였다. 이를 통해 본 논문에서 제안된 알고리즘이 다중 인식에 있어 미인식 영역을 최소화 하고 기존 RFID 재고 조사 시스템의 성능이 크게 개선되는 것을 현장 적용을 통해 증명하였다.