• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.5
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• pp.575-580
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• 2006

It is important matter that inflect well allocated frequency resource in cellular network and is still more serious element in environment that provide multimedia services. This paper describes model and algorithm that increase two elements that is frequency allocation and job scheduling that consider multimedia service traffic special quality by emphasis that do mapping present in CDMA cellular system. We proposed the model composed three parts (channel allocation algorithm, mapping algorithm and scheduling algorithm) and simulation results.

• Journal of Korean Academy of Nursing
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• v.35 no.4
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• pp.680-685
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• 2005

Purpose. The purpose of the study was to categorize nursing students' subjectivity in their attitude toward their jobs, and thereby understand the differences among these attitude types. Methods. The study used a Q-method to measure nursing students' attitude toward jobs identity types. In-depth and objective interviews and literature review formed Q sample. The P sample consisted of 25 nursing students. Results. The results of the study show that nursing students can be categorized into three types, depending on their attitudes toward their jobs. The firs type, 'interest-oriented' students, strongly disagree to the follow-ing: giving priority to job over marriage, standing unfair treatment in the workplace, the importance of pro-motion opportunity, irresponsibility, and uncertainty. The 'reward-oriented' students, on the other hand, strongly disagree to the following: indifference to career prospects, employment-related relocation of residence, irresponsibility, standing difficulties, and compromises with others. The third type of nursing students is the possession-oriented students, who strongly disapprove of irresponsibility, refusal to compromise with reality, standing unfair job allocation or promotion and career uncertainty. Conclusions. The study on nursing college students' attitude toward their jobs is meaningful in the following aspects: First, the study clarifies nursing college students' attitudes toward their job by categorizing it. Second, the study confirms the changing attitudes of nursing students toward jobs with the change of times and calls for proper educational programs to foster healthy career attitudes. Third, proper decision-making as regards jobs and job allocation for nurses, or their career attitudes, is beneficial to individuals, the medical industry, and society.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1415-1421
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• 2016

There are considerable concern on the methods for the efficient utilization of the test-resources as increasing of the number of the tests for functionality and performance verification of weapon systems. Furthermore, with an increase in the complexity of the resource assignment the decision support is required. Test resource allocation is basically the same problems as conventional NP-hard FJSP(Flexible Job Shop Problem), therefore empirical test resource allocation method that has been used in many decades is limited in the time performance. Although research has been conducted applying the genetic algorithm to the FJSP, it is limited in the test resource allocation domain in which more than one machine is necessary for a single operation. In this paper, a variable group genetic algorithm is proposed. The algorithm is expected to improve the test plan efficiency by automating and optimizing the existing manual based allocation. The simulation result shows that the algorithm could be applicable to the test plan.

• Management & Information Systems Review
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• v.12
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• pp.77-99
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• 2003

This study has uncovered some important relationships among employees perceptions of distributive justice and procedural justice and organizational commitment and job satisfaction and organizational effectiveness. The present study attempts, first, to identify the perceived justice in promotion and transfer, performance evaluation, pay raise, job allocation and job fire. Second, to determine the relative importance of DJ(distributive justice) and PJ(procedural justice). Add to that two's justice's impact organizational committment, job satisfaction and to examine relationships of organizational committment, job satisfaction. Third, to examine relationships of organizational committment, job satisfaction and organizational effectiveness. The research is the identification of a modest but significant relationship between the two justice and organizational commitment and job satisfaction and organizational effectiveness. The result make it clear that employee find that right personnel management of fairness.

• Journal of Information Technology Services
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• v.20 no.3
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• pp.57-73
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• 2021

Recently, online job websites have been activated as unemployment problems have emerged as social problems and demand for job openings has increased. However, while the online job platform market is growing, users have difficulty choosing their jobs. When users apply for a job on online job websites, they check various information such as job contents and recruitment conditions to understand the details of the job. When users choose a job, they focus on various details related to the job rather than simply viewing and supporting the job title. However, existing online job websites usually recommend jobs using only quantitative preference information such as ratings. However, if recommendation services are provided using only quantitative information, the recommendation performance is constantly deteriorating. Therefore, job recommendation services should provide personalized services using various information about the job. This study proposes a recommended methodology that improves recommendation performance by elaborating on qualitative preference information, such as details about the job. To this end, this study performs a topic modeling analysis on the job content of the user profile. Also, we apply LDA techniques to explore topics from job content and extract qualitative preferences. Experiments show that the proposed recommendation methodology has better recommendation performance compared to the traditional recommendation methodology.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.1
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• pp.1-11
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• 2003

Fragmentation is the main performance bottleneck of large, multi-user multicomputer system. This paper presents an L-Shaped Submesh Allocation(LSSA) strategy, which lifts the restriction on the rectangular shape formed by allocated processors in order to address the problem of fragmentation. LSSA can manipulate the shape of the required submesh to fit into the fragmented mesh system. Thus, LSSA accommodates incoming jobs faster than other strategies and results in the reduction of job response time. Extensive simulations show that LSSA performs more efficiently than other strategies in terms of the external fragmentation, the job response time and the system utilization.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.1
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• pp.33-40
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• 2008

This paper presents a new scheduling scheme in wireless distributed network. To overcome the limited information about unfamiliar mobile nodes and to reduce the required system performance, we propose a scheduling algorithm of job allocation based on the trust model. The suggested scheduler evaluate an unfamiliar mobile node's trust and make reference to the trust value of neighboring scheduler. This scheduling algorithm can avoid malicious or selfish mobile nodes by assigning low trust values. We also present a trust evaluation metric and show the efficiency of suggested scheduling algorithm by performance evaluation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.311-313
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• 2023

병렬 기계 작업장에서 자원을 효율적으로 활용하기 위해서는 처리할 작업을 적절한 기계에 할당해야 한다. 특정 작업을 처리할 기계를 선택할 때 휴리스틱을 사용할 수도 있으나, 특정 작업장에 맞춤화된 휴리스틱을 개발하는 것은 쉽지 않다. 반면, 본 논문에서는 이종 병렬 기계 작업장을 위한 작업 할당 모형을 개발하는데 강화학습을 응용하고자 한다. 작업 할당 모형을 학습하는데 필요한 에피소드들은 상용 시뮬레이션 소프트웨어인 FlexSim을 이용하여 생성하였다. 아울러, stable-baseline3 라이브러리를 이용하여 강화학습 알고리즘을 생성된 에피소드들에 적용하였다. 실험 결과를 통해 시뮬레이션과 강화학습이 작업장 운영관리에 유용함을 알 수 있었다.

• Journal of the Korea Society of Computer and Information
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• v.22 no.4
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• pp.17-24
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• 2017

In this paper, we propose an efficient dynamic workload balancing strategy which improves the performance of high-performance computing system. The key idea of this dynamic workload balancing strategy is to minimize execution time of each job and to maximize the system throughput by effectively using system resource such as CPU, memory. Also, this strategy dynamically allocates job by considering demanded memory size of executing job and workload status of each node. If an overload node occurs due to allocated job, the proposed scheme migrates job, executing in overload nodes, to another free nodes and reduces the waiting time and execution time of job by balancing workload of each node. Through simulation, we show that the proposed dynamic workload balancing strategy based on CPU, memory improves the performance of high-performance computing system compared to previous strategies.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.492-494
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• 2002

We established the job classification method that a classification standard is clear, and can subdivide job by using the raw data of time-and-motion study performed to analyze the medical staffs job elements. The final target of this study is to optimize job allocation and calculate human cost of medical staffs in hospitals.