• Title/Summary/Keyword: real-time task

Search Result 762, Processing Time 0.032 seconds

Design of Probabilistic Model for Optimum Manpower Planning in R&D Department (연구개발 부문 적정인력 산정을 위한 확률적 모형설계에 관한 연구)

  • Kim, ChongMan;Ahn, JungJin;Kim, ByungSoo
    • Journal of Korean Society for Quality Management
    • /
    • v.41 no.1
    • /
    • pp.149-162
    • /
    • 2013
  • Purpose: The purpose of this study was to design of a probabilistic model for optimum manpower planning in R&D department by Montecarlo simulation. Methods: We investigate the process and the requirement of manpower planning and scheduling in R&D department. The empirical distributions of necessary time and manpower for R&D projects are developed. From the empirical distributions, we can estimate a probability distribution of optimum manpower in R&D department. A simulation method of estimating the probability distribution of optimum manpower is considered. It is a useful tool for obtaining the sum, the variance and other statistics of the distributions. Results: The real industry cases are given and the properties of the model are investigated by Montecarlo Simulation. we apply the model to the research laboratory of the global company, and investigate and compensate the weak points of the model. Conclusion: The proposed model provides various and correct information such as average, variance, percentile, minimum, maximum and so on. A decision maker of a company can easily develop the future plan and the task of researchers may be allocated properly. we expect that the productivity can be improved by this study. The results of this study can be also applied to other areas including shipbuilding, construction, and consulting areas.

A Transmitter Initiated Bandwidth Reservation Method for Real-time Traffic (실시간 트래픽을 위한 송신측 주도의 대역폭 예약 방법)

  • Kim, M.J.;Eom, J.H.;Jang, Y.S.;Kim, S.H.
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2006.10d
    • /
    • pp.497-501
    • /
    • 2006
  • 디지털 미디어 장치의 발달로 인하여 네트워크 상에서 발생되는 실시간 트래픽을 지원해주는 연구들이 많이 진행되고 있다. 그중에서도 기존의 LAN (Local Area Network) 시장의 약 80% 가량을 점유하고 있는 이더넷 기술과 연동하는 기술이 많이 고려되고 있다. 하지만 기존 이더넷 기술이 가진 몇 가지 문제점들로 인하여 이더넷 기술만을 가지고는 실시간 트래픽을 지원하기에는 부족하다. 그래서 IEEE 802.1 AVB TG (IEEE 802.1 Audio/Video Bridging Task Group)에서 기존의 이더넷 장비 등에 최소한의 변경으로 실시간 트래픽을 지원해주기 위한 표준화가 진행 중이다. 현재 IEEE 802.1 AVB TG에서는 해당 규격을 지원하는 네트워크 환경에서 작동하는 장비들 간에 어떻게 동기를 맞추어 갈 것인지, 이들 장비의 실시간 트래픽을 위한 대역폭 확보는 어떻게 할 것인지, 그리고 확보된 대역폭을 바탕으로 하여 실시간 트래픽과 비실시간 트래픽을 어떻게 동시에 지원할 것인지가 주요 논의 과제이다. 본 논문은 주요 논의 과제 중에서도 실시간 트래픽을 위한 대역폭 확보 방안에 그 비중을 두었다. 실시간 트래픽의 대역폭을 확보하기 위해서는 대역폭 예약이 필수이다. 대역폭 예약을 송신측, 즉 실시간 트래픽을 발생시키는 장치에서 주도하여 진행하는 방법을 제안한다. 그리고 제안한 방법을 OPNET 네트워크 시뮬레이터를 통해 실험하고, 그 결과를 분석하였다.

  • PDF

A Study on Beauty Artists' Perception Degree about Self-Technic (헤어미용 실무자들의 자기 기술력 인식정도에 관한 고찰)

  • Lee, Kye-Suk;Na, Young-Soon
    • Journal of the Korean Society of Fashion and Beauty
    • /
    • v.2 no.1 s.1
    • /
    • pp.46-56
    • /
    • 2004
  • This study is an investigation research regarding Beauty Artists' perception degree about self-Technic. Therefore by grasping the field which the beauty artists recognize the insufficiency while they perform their task, the result which executed a question investigation for 430 workers at the beauty shops which are located in the Jeollabuk-do area is the same following. As a result on the subject, after the beauty artists receive a fundamental beauty care education, and when they are engaged in a real beauty care shop, in order not for them to have difficulties in business accomplishment, more realistic and active curriculum has to be made up. To do like this, more researches and more efforts in the center of the beauty care group and the educational institution are demanded. In addition, so as to grow as the expert of the beauty care artist, the systemic and internal educational training program which considers the curriculum contents, a time and the place must be provided, by developing as levels and steps of the beauty artists.

  • PDF

A study on hypothetical switching software through of the analysis of failure data (고장 데이터 분석을 통한 교환 소프트웨어 특성 연구)

  • 이재기;신상권;이영목
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.23 no.8
    • /
    • pp.1915-1925
    • /
    • 1998
  • The switching system software is large scale, real-time multi-task system which requires high reliability. The reliability assessment of large-scale software is very important for the success of software development project. For this raeson, the software quality measurement is much more important. In this paper, we have learned about the software reliability, metho of the analysis of failure data and estimation of software quality. To estimate the software reliability, using the failure data found during of the system test. We apply the two software reliability growth models, named Goel-Okumoto(G-O) and S-shaped model, to estimate the software reliability. Also, we compared with the results and we reviewed fully not only development cycle but validation and verification of the test data, for each software versions. This paper presents a software reliability model that suitale the software development project and the activeity of quality control for the switching system.

  • PDF

Pilot Study of Nurses with VDT Work to Prevent Musculosketal Disorders and Back-Pain Problems (VDT 작업 간호사들의 근골격계질환과 요통 문제예방을 위한 기초연구)

  • 권영국
    • Journal of the Korea Safety Management & Science
    • /
    • v.4 no.2
    • /
    • pp.57-70
    • /
    • 2002
  • Back pain is painful for people at a lower lumber(L4/L5 or L5/S1). It is experienced as a most frequent disaster 70% of workers have suffered from back-pain. Especially, the occurrence rate of back pain for nurses is very high. Therefore, this study investigates female nurses who worked as a part of a medical cost management team, which mainly deal with the medical insurance in a general hospital at Seoul area. These nurses had different job tasks, which used computers for 50% of their time, so it can be treated as VDT workers. As a first step of this project, a muscle fatigue was measured for these special VDT workers. First, survey for nurses was conducted to figure out what is a real problem of them. Second, to evaluate an experimental data, a medical cost management team was chosen for subjects. Areas of measurement were 3 places that were the trapezius (TR), the medial deltoid (MD), and the erector spine muscle (ES: L4/L5). These areas are most frequently used, so they were chosen for this study. Measurements were taken before work and after work. From these measurements, it was revealed that a fatigue really comes from their main VDT task excluding natural fatigue after work, so their work environment need to be corrected.

A Study of Peak Finding Algorithms for the Autocorrelation Function of Speech Signal

  • So, Shin-Ae;Lee, Kang-Hee;You, Kwang-Bock;Lim, Ha-Young;Park, Ji Su
    • Journal of the Korea Society of Computer and Information
    • /
    • v.21 no.12
    • /
    • pp.131-137
    • /
    • 2016
  • In this paper, the peak finding algorithms corresponding to the Autocorrelation Function (ACF), which are widely exploited for detecting the pitch of voiced signal, are proposed. According to various researchers, it is well known fact that the estimation of fundamental frequency (F0) in speech signal is not only very important task but quite difficult mission. The proposed algorithms, presented in this paper, are implemented by using many characteristics - such as monotonic increasing function - of ACF function. Thus, the proposed algorithms may be able to estimate both reliable and correct the fundamental frequency as long as the autocorrelation function of speech signal is accurate. Since the proposed algorithms may reduce the computational complexity it can be applied to the real-time processing. The speech data, is composed of Korean emotion expressed words, is used for evaluation of their performance. The pitches are measured to compare the performance of proposed algorithms.

An Improvement of Finding Neighbors in Flocking Behaviors by Using a Simple Heuristic (단순한 휴리스틱을 사용하여 무리 짓기에서 이웃 에이전트 탐색방법의 성능 개선)

  • Jiang, Zi Shun;Lee, Jae-Moon
    • Journal of Korea Game Society
    • /
    • v.11 no.5
    • /
    • pp.23-30
    • /
    • 2011
  • Flocking behaviors are frequently used in games and computer graphics for realistic simulation of massive crowds. Since simulation of massive crowds in real time is a computationally intensive task, there were many researches on efficient algorithm. In this paper, we find experimentally the fact that there are unnecessary computations in the previous efficient flocking algorithm, and propose a noble algorithm that overcomes the weakness of the previous algorithm with a simple heuristic. A number of experiments were conducted to evaluate the performance of the proposed algorithm. The experimental results showed that the proposed algorithm outperformed the previous efficient algorithm by about 21% on average.

Self-Collision Detection/Avoidance for a Rescue Robot by Modified Skeleton Algorithm (보완 골격 알고리듬을 이용한 구난로봇의 자체 충돌감지/회피)

  • Lee, Wonsuk;Hong, Seongil;Park, Gyuhyun;Kang, Younsik
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.18 no.4
    • /
    • pp.451-458
    • /
    • 2015
  • This paper handles self-collision avoidance for a rescue robot with redundant manipulators. In order to detect all available self-collisions in advance, minimum distances between arbitrary robot parts should be monitored in real-time. For the minimum distance estimation, we suggest a modified method from a previous skeleton algorithm which has less computation burden and realize collision avoidance based on a potential function using the proposed algorithm. The resultant command by collision avoidance should not disturb a given primary task, so null-space of joint solution from a CLIK is utilized for collision avoidance by a gradient projection method.

Design and Implementation of School Affairs Management System using PHP on the Internet (인터넷 상에서 PHP를 이용한 학사관리 시스템의 설계 및 구현)

  • Moon, Jin-Yong;Koo, Yong-Wan
    • The Transactions of the Korea Information Processing Society
    • /
    • v.7 no.10
    • /
    • pp.3148-3154
    • /
    • 2000
  • In this paper. the design and implementationof the on-line registration system for the school affairs is described. The environments for the system configurations include a PC server under Linux Iperating System. Apache Web-server, and MySQL as database engine. In addition, PHP, which becomes a popular Internet server-based script language lately, is used to implement a real-time database. In order to avoid overload problems during short-term registration period, which deconstraces the typical surge of traffics, the proposed system is designed to minimize the unnecessary interfacing tasks. On administrator side task, the sytem is designed to have environments by separating the dechcated server that restricts the scope of specific database thasks. In doing so, it become possibal to build an optical system by distributing, balancing the transaction load, maintainimg the security and efficient administrative tasks.

  • PDF

Application of Deep Learning Algorithm for Detecting Construction Workers Wearing Safety Helmet Using Computer Vision (건설현장 근로자의 안전모 착용 여부 검출을 위한 컴퓨터 비전 기반 딥러닝 알고리즘의 적용)

  • Kim, Myung Ho;Shin, Sung Woo;Suh, Yong Yoon
    • Journal of the Korean Society of Safety
    • /
    • v.34 no.6
    • /
    • pp.29-37
    • /
    • 2019
  • Since construction sites are exposed to outdoor environments, working conditions are significantly dangerous. Thus, wearing of the personal protective equipments such as safety helmet is very important for worker safety. However, construction workers are often wearing-off the helmet as inconvenient and uncomportable. As a result, a small mistake may lead to serious accident. For this, checking of wearing safety helmet is important task to safety managers in field. However, due to the limited time and manpower, the checking can not be executed for every individual worker spread over a large construction site. Therefore, if an automatic checking system is provided, field safety management should be performed more effectively and efficiently. In this study, applicability of deep learning based computer vision technology is investigated for automatic checking of wearing safety helmet in construction sites. Faster R-CNN deep learning algorithm for object detection and classification is employed to develop the automatic checking model. Digital camera images captured in real construction site are used to validate the proposed model. Based on the results, it is concluded that the proposed model may effectively be used for automatic checking of wearing safety helmet in construction site.