• 제목/요약/키워드: job selection

검색결과 351건 처리시간 0.026초

슈퍼 컴퓨팅 환경에서 메타 컴퓨터를 위한 전산 유체 해석 프로그램의 수행 시간 예측 도구 개발 (Predicting Execution Times of CFD Solvers for the Metacomputing System on a Supercomputing Environment)

  • 강경우;라선욱
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 1999년도 추계 학술대회논문집
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    • pp.187-192
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    • 1999
  • A metacomputing system is constructed by integrating the heterogeneous supercomputers at KORDIC supercomputer center. The implementation is directed toward building up an easy-to-use supercomputing environment for Computational Fluid Dynamics (CFD) simulations. The key feature is an automatic resource selection According to the predicted performance, the system assigns the request job to the most suitable resource which satisfies the user's demands. Verification tests are conducted by using example CFD applications. An overview of the system is given and derivation of performance prediction models is described in details. Discussion is made of the test results to illustrate applicability and usefulness of the proposed models.

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$CO_2$레이저 절단을 위한 전문가 시스템 개발에 관한 연구 (A Study on the Development of an Expert System for $CO_2$ Laser Cutting)

  • 최은석;한국찬;나석주
    • Journal of Welding and Joining
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    • 제12권3호
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    • pp.71-81
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    • 1994
  • Laser cutting is experiencing a rising worldwide acceptance in the industry. Expert systems are necessary for the systematic arrangement and searching of experimental data existing in journal papers, job handbooks, etc.. This paper proposes an expert system for the selection of the appropriate laser cutting variables from the available database. Optimum cutting conditions according to the given cutting velocity were searched and qualitative comments which are difficult to be used as database variables were shown at each velocity using the binary and fuzzy inference. These comments could be informative to unskilled operators of the laser cutting process. Typical cutting conditions of the mild steel and stainless steel were included and the working range and quality variations were displayed graphically. The proposed algorithm was implemented in an IBM compatible personal computer as an expert system for CO$_{2}$ laser cutting to derive the optimum cutting conditions by using the turbo prolog.

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Structural Dashboard Design for Monitoring Job Performance of Internet Web Security Diagnosis Team: An Empirical Study of an IT Security Service Provider

  • Lee, Jung-Gyu;Jeong, Seung-Ryul
    • 인터넷정보학회논문지
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    • 제18권5호
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    • pp.113-121
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    • 2017
  • Company A's core competency is IT internet security services. The Web diagnosis team analyzes the vulnerability of customer's internet web servers and provides remedy reports. Traditionally, Company A management has utilized a simple table format report for resource planning. But these reports do not notify the timing of human resource commitment. So, upper management asked its team leader to organize a task team and design a visual dashboard for decision making with the help of outside professional. The Task team selected the web security diagnosis practice process as a pilot and designed a dashboard for performance evaluation. A structural design process was implemented during the heuristic working process. Some KPI (key performance indicators) for checking the productivity of internet web security vulnerability reporting are recommended with the calculation logics. This paper will contribute for security service management to plan and address KPI design policy, target process selection, and KPI calculation logics with actual sample data.

Efficient Message Scheduling for WDM Optical Networks with Minimizing Flow Time

  • Huang, Xiaohong;Ma, Maode
    • Journal of Communications and Networks
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    • 제6권2호
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    • pp.147-155
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    • 2004
  • In this paper, we propose an efficient sequencing technique, namely minimum Row time scheduling (MFTS), to manage variable-Iength message transmissions for single-hop passive starcoupled WDM optical networks. By considering not only the message length but also the state of the receivers and the tuning latency, the proposed protocol can reduce the average delay of the network greatly. This paper also introduces a new channel assignment technique latency minimizing scheduling (LMS), which aims to reduce the scheduling latency. We evaluate the proposed algorithm, using extensive discrete-event simulations, by comparing its performance with shortest job first (SJF) algorithm. We find that significant improvement in average delay could be achieved by MFTS algorithm. By combining the proposed message sequencing technique with the channel selection technique, the performance of the optical network could be further improved.

성격 특성이 항공사 객실 승무원의 정서적 고갈에 미치는 영향 (The Effect of Personality Traits on Emotional Exhaustion among Flight Attendants)

  • 이동명;이영주
    • 한국항공운항학회지
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    • 제16권1호
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    • pp.37-45
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    • 2008
  • This study examines hypotheses that four personality traits(extroversion, emotional stability, openness to experience, and agreeableness) have effect on emotional exhaustion among flight attendants. Questionnaires were collected from 344 flight attendants working for two airlines in Korea. From the hierarchical regression analysis, this research could find out some results such as follows. First, extroversion, emotional stability, and agreeableness, with the exception of openness to experience, decrease the level of emotional exhaustion. Second, according to the results of these analyses organizations should consider employee's personality fitting to job in selection process.

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CADRAM - Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing

  • Abdullah, M.;Surputheen, M. Mohamed
    • International Journal of Computer Science & Network Security
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    • 제22권3호
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    • pp.95-100
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    • 2022
  • Cloud computing platform is a shared pool of resources and services with various kind of models delivered to the customers through the Internet. The methods include an on-demand dynamically-scalable form charged using a pay-per-use model. The main problem with this model is the allocation of resource in dynamic. In this paper, we have proposed a mechanism to optimize the resource provisioning task by reducing the job completion time while, minimizing the associated cost. We present the Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing CADRAM system, which includes more than one agent in order to manage and observe resource provided by the service provider while considering the Clients' quality of service (QoS) requirements as defined in the service-level agreement (SLA). Moreover, CADRAM contains a new Virtual Machine (VM) selection algorithm called the Node Failure Discovery (NFD) algorithm. The performance of the CADRAM system is evaluated using the CloudSim tool. The results illustrated that CADRAM system increases resource utilization and decreases power consumption while avoiding SLA violations.

A Study on Impact of Deep Learning on Korean Economic Growth Factor

  • Dong Hwa Kim;Dae Sung Seo
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권4호
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    • pp.90-99
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    • 2023
  • This paper deals with studying strategy about impact of deep learning (DL) on the factor of Korean economic growth. To study classification of impact factors of Korean economic growth, we suggest dynamic equation of microeconomy and study methods on economic growth impact of deep learning. Next step is to suggest DL model to dynamic equation with Korean economy data with growth related factors to classify what factor is import and dominant factors to build policy and education. DL gives an influence in many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently, young generations will take a big impact on their job selection because generative AI can do well as much as humans can do it everywhere. Therefore, policy and education methods should be rearranged as new paradigm. However, government and officers do not understand well how it is serious in policy and education. This paper provides method of policy and education for AI education including generative AI through analysing many papers and reports, and experience.

Distribution of Six Major Factors Enhancing Organizational Effectiveness

  • Didit DARMAWAN
    • 유통과학연구
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    • 제22권4호
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    • pp.47-58
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    • 2024
  • Purpose: Achieving organizational effectiveness is the ultimate goal that every business entity or institution targets. To achieve this, organizations need to consider various factors that have an impact on their performance. This article analyzes the distribution influence of six main elements that have a central role in shaping sustainable organizational effectiveness, which are organizational culture, job satisfaction, interpersonal communication, talent management, knowledge management, and information technology. Research Design Data and Methodology: This research uses a quantitative approach, focusing on manufacturing companies located in Surabaya as the main object, involving twenty manufacturing companies as research targets, and 10 employees in each company. The sample selection process was carried out through the application of random sampling techniques. The analysis in this research uses the multiple linear regression method and uses SPSS version 26 software. Results: Distribution of six major factors used in this research are related to each other and contribute significantly to overall organizational effectiveness. Conclusion: Organizations that can combine the distribution of a positive culture, prioritize employee satisfaction, encourage effective communication, manage talent and knowledge efficiently, and utilize information technology wisely will have greater potential to achieve their goals and survive in the intensely competitive business environment.

유통·호텔 종사원의 팀에 대한 몰입의 선행요인과 결과요인에 관한 연구 (A Study of Precedence and Result Factors on Team Commitment on Distribution and Hotel Employees)

  • 류백현;이승일
    • 유통과학연구
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    • 제14권2호
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    • pp.113-121
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    • 2016
  • Purpose - The purpose of this study is to identify team commitment affecting employees' innovative activities and factors affecting team commitment including empowerment by leaders and job enrichment factors. In other words, so as to explain outcome variables of innovative activities, this study aims to emphasize employees' attachment roles towards their groups within nomological network, and identify the motives encouraging employees' innovative activities. The research purpose is significant due to the realistic situation of hotel industry. The reason why innovative activities are important can be found in recent changes of business environment. Also, unlike other various studies on precedence factors encouraging employees' innovative activities, this study classified those precedence factors into job and leader characteristics, and it emphasized the importance of team commitment as the process that job and leader characteristics are connected to innovative activities. Research design, data and methodology - The survey for this study was conducted during October 6th ~ November 10th in 2014 to the employees who are working in 5-star hotels in Korea. As for the selection of hotels and sampling method, convenience sampling method was used to the employees in 5-star hotels. Self-report method was used in the survey, judging that the employees' characteristics would be relatively homogeneous. 311 questionnaires were distributed in total, and 275 reponses were collected. After excluding the missing and unreliable responses, 245 questionnaires were used in the research. SPSS and AMOS programs were used for the analysis. Results - First, empowering leadership had positive effects on hotel employees' team commitment. It indicates that hotel employees are more committed to their team when their leaders set examples, provide information, and involve employees in decision-making process. Second, as a result of the relationship analysis in task diversity, task significance, task identity and team commitment, task diversity and task significance had significant effect on team commitment, while task identity had no significant effect on team commitment. It indicates that team commitment is enhanced when the employees can conduct diverse types of jobs and get more opportunities to talk with the guests. Also, the repetition for the same jobs in hotel rooms and the space for preparing food and beverage do not lead to team commitment, even though the employees fulfill their duties to the end. Third, hotel employees' team commitment has positive effect on their innovative activities. It indicates that employees voluntarily conduct innovative activities when they are attached to their team and identifies themselves with the team. Conclusions - There are theoretical and practical implications in this study. First, in terms of the theoretical perspective, this study proposes structural framework in team commitment, and it identifies the psychological mechanism in team commitment from the aspect of social exchange, which resulted in identification of precedence factors related to team commitment. In addition, this study presents new possibilities for relevant studies about team commitment by examining the effect on team commitment when the importance of innovative activities is emphasized in recent business environment.

문헌정보학과 학생의 직장으로서의 도서관·정보센터 이미지 분석 (Study about Library and Information Center's Image of Library and Information Science Students as Workplace)

  • 조재인;이지원
    • 한국문헌정보학회지
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    • 제50권3호
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    • pp.113-132
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    • 2016
  • 소비자에게 형성된 심상 분석을 통해 마케팅 전략을 수립하는데 주로 활용되고 있는 포지셔닝(Positioning) 기법은 공공시설, 기업, 대학이 공중에게 주는 이미지 분석을 비롯해 다양한 영역에서 활용되고 있다. 본 연구는 문헌정보학과 학생이 직장으로서 도서관 정보센터에 대하여 가지고 있는 이미지를 포지셔닝 기법을 통하여 분석하였다. 분석 결과, 학생들은 공공, 대학, 학교, 국가도서관을 유사한 이미지의 직장으로 인식하는 반면, 포털과 전문도서관은 이들과는 이질적인 진출처로 인식하고 있었으며, 직무에 있어서는 이용자봉사업무와 기술업무, 문화프로그램 업무를 각각 상이한 직무 군집으로 인식하고 있는 것으로 나타났다. 한편, 만족스러운 업무와 고용안정성이라는 이미지는 국가도서관과 공공도서관이 가장 크게 나타났으며, 보수가 가장 높을 것으로 기대되는 곳은 포털 업체, 성장가능성이 가장 높을 것으로 기대되는 곳은 전문도서관으로 포지셔닝되었다. 한편, 학생들이 가장 중요하게 생각하는 직장선택준거는 고용안정성으로 나타났으며, 가장 선호하는 직장으로는 공공도서관이 선택되었는데, 이러한 공공도서관 선호 집중 현상은 수도권대학보다는 지방대학 학생들에게 더욱 강하게 나타났다.