• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
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• pp.518-526
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• 1986

This paper gives the detail of the work carried out to develop real-time control software for Flexible Manufacturing Systems. A basic design philosophy to implement such software is proposed. The major features are the partitioning of complicated control actions into simplified ones, structured programming and multi-threaded transaction-based tasks. The software operates on the basis of passing task-to-task messages via mailboxes, causing appropriate actions to be taken by each task. Each task represents a separate subprocess so that the subprocesses can be run simultaneously. The task-to-task message could be easily replaced by computer-to-computer communication, using LAN, demonstrating that the software methods developed produce a flexible designs for control software of an FMS. A method of linking such software to simulation software is suggested as a potentially powerful additional design-tool.

• Journal of Information Processing Systems
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• 제14권3호
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• pp.621-630
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• 2018

Selection of a suitable task from the extensively available large set of tasks is an intricate job for the developers in crowdsourcing software development (CSD). Besides, it is also a tiring and a time-consuming job for the platform to evaluate thousands of tasks submitted by developers. Previous studies stated that managerial and technical aspects have prime importance in bringing success for software development projects, however, these two aspects can be more effective and conducive if combined with human aspects. The main purpose of this paper is to present a conceptual framework for task assignment model for future research on the basis of personality types, that will provide a basic structure for CSD workers to find suitable tasks and also a platform to assign the task directly. This will also match their personality and task. Because personality is an internal force which whittles the behavior of developers. Consequently, this research presented a Task Assignment Model (TAM) from a developers point of view, moreover, it will also provide an opportunity to the platform to assign a task to CSD workers according to their personality types directly.

• 한국산학기술학회논문지
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• 제15권9호
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• pp.5652-5659
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• 2014

소프트웨어를 구성하는 모듈들은 각 모듈에 주어지는 업무들이 동시에 처리될 수 있도록 멀티태스킹이 가능하도록 개발되며, 또한 처리중인 업무들은 완전처리된 업무들과 처리중 모듈고장으로 완전처리 되지 않는 불완전 처리업무로 세분화한다. 이러한 경우 여러 모듈에 동시에 업무가 주어졌을 때, Farlie [11]의 결합확률분포를 기반으로 모듈간의 의존성을 고려하여 업무의 완전처리확률을 평가할 수 있는 모형을 제안하며, 이를 통하여 모듈의존성 모수 값이 커질수록 소프트웨어에 주어진 업무의 완전처리확률은 점점 커짐을 보이고자 한다.

• 한국IT서비스학회지
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• 제9권4호
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• pp.169-185
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• 2010

According to software growth, also software maintenance has been continuously improving. In addition, the existing concept of software maintenance process demands operational management and improvement of service task. However, when we perform maintenance task, we have several constraints about applying service based requirement to system. Therefore, in order to solve these problems, we need a study of task of process for service based maintenance. In this paper, we propose a Service based Software Maintenance Process. Proposed process based on MaRMI-RE standard for software development and maintenance and compares it with the service based representative standards. In a related works, we study activity of ITIL and identify activities and tasks for maintenance. After this, identified activities and tasks compare with activities of MaRMI-RE. And then, we derive activities and tasks of a Service based Software Maintenance Process. Finally, we validate a result by comparing the proposed process with a general service operational process.

• Communications for Statistical Applications and Methods
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• 제17권6호
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• pp.891-898
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• 2010

소프트웨어는 독립적으로 개발된 모듈들을 통합하는 개발과정을 거치며, 통합된 소프트웨어는 가용도, 소프트웨어에 내재된 결함의 제거 수 및 주어진 업무(task)들의 처리능력에 의하여 성능이 평가된다. 본 연구에서는 Lee와 Park (2003)의 마코프 불완전 수리모형을 기반으로 모듈들로 구성된 소프트웨어의 업무처리 능력을 평가할 수 있는 업무의 완전처리확률(completion probability)을 유도하며, 이와함께 개발된 소프트웨어가 출하되는 최적의 시점을 결정하는 방안을 제시하고자 한다.

• Journal of Information Processing Systems
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• 제14권1호
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• pp.129-139
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• 2018

The crowdsourcing software development (CSD) is growing rapidly in the open call format in a competitive environment. In CSD, tasks are posted on a web-based CSD platform for CSD workers to compete for the task and win rewards. Task searching and assigning are very important aspects of the CSD environment because tasks posted on different platforms are in hundreds. To search and evaluate a thousand submissions on the platform are very difficult and time-consuming process for both the developer and platform. However, there are many other problems that are affecting CSD quality and reliability of CSD workers to assign the task which include the required knowledge, large participation, time complexity and incentive motivations. In order to attract the right person for the right task, the execution of action plans will help the CSD platform as well the CSD worker for the best matching with their tasks. This study formalized the task assignment method by utilizing different situations in a CSD competition-based environment in artificial intelligence (AI) planning. The results from this study suggested that assigning the task has many challenges whenever there are undefined conditions, especially in a competitive environment. Our main focus is to evaluate the AI automated planning to provide the best possible solution to matching the CSD worker with their personality type.

• Journal of Computational Design and Engineering
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• 제1권4호
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• pp.243-255
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• 2014

The present study describes the development of control hardware and software for a mobile welding robot. This robot is able to move and perform welding tasks in a double hull structure. The control hardware consists of a main controller and a welding machine controller. Control software consists of four layers. Each layer consists of modules. Suitable combinations of modules enable the control software to perform the required tasks. Control software is developed using C programming under QNX operating system. For the modularizing architecture of control software, we designed control software with four layers: Task Manager, Task Planner, Actions for Task, and Task Executer. The embedded controller and control software was applied to the mobile welding robot for successful execution of the required tasks. For evaluate this imbedded controller and control software, the field tests are conducted, it is confirmed that the developed imbedded controller of mobile welding robot for shipyard is well designed and implemented.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.38-40
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• 2021

의료 데이터 분야는 레코드 수는 많지만 응답값이 없기 때문에 인공지능을 적극적으로 활용하지 못하고 있다. 이러한 문제점을 해결하기 위해 자기지도학습(Self-Supervised learning)을 의료 분야에 적용하는 연구가 등장하고 있다. 자기지도학습은 model이 레이블링이 없는 데이터의 semantic 표현을 이해할 수 있도록 pretext task와 supervision을 학습한다. 그러나, 자기지도학습의 성능은 pretext task로 학습한 표현에 의존하므로 데이터의 특성에 적합한 pretext task를 정의할 필요가 있다. 따라서 본 논문에서는 의학 데이터 중 활용도가 높은 x-ray 이미지에 적용할 수 있는 pretext task를 실험적으로 탐색하고 그 결과를 분석한다.

• 정보처리학회논문지D
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• 제18D권1호
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• pp.45-56
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• 2011

저전력을 소모하는 임베디드 시스템 개발의 중요성이 증대되고 있다. 저전력 소모의 시스템 개발은 하드웨어 측면에서 많이 연구되어 왔지만, 소프트웨어의 동작이 하드웨어 전력 소모를 유발하기 때문에 소프트웨어의 소모 전력을 분석하는 것 또한 중요한 이슈중의 하나이다. 본 논문에서는 임베디드 소프트웨어 개발 과정에서 작성되는 설계 모델을 이용하여 에너지 효율적인 태스크 도출 방법을 제시한다. 이를 위하여 먼저 태스크 분할 기준을 제시하고, 이를 이용한 UML 설계 모델의 분할 과정을 설명한다. 제안된 태스크 도출 방법은 성능과 함께 전력 소모에 많은 영향을 미치는 임베디드 소프트웨어 개발에 활용하여 선행적으로 에너지 소모량을 절감할 기회를 제공할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권11호
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• pp.3523-3543
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• 2022

Autonomous vehicles are gradually being regarded as the mainstream trend of future development of the automobile industry. Autonomous driving networks generate many intensive and delay-sensitive computing tasks. The storage space, computing power, and battery capacity of autonomous vehicle terminals cannot meet the resource requirements of the tasks. In this paper, we focus on the task scheduling problem of autonomous driving in software-defined edge networks. By analyzing the intensive and delay-sensitive computing tasks of autonomous vehicles, we propose an emotion model that is related to task urgency and changes with execution time and propose an optimal base station (BS) task scheduling (OBSTS) algorithm. Task sentiment is an important factor that changes with the length of time that computing tasks with different urgency levels remain in the queue. The algorithm uses task sentiment as a performance indicator to measure task scheduling. Experimental results show that the OBSTS algorithm can more effectively meet the intensive and delay-sensitive requirements of vehicle terminals for network resources and improve user service experience.