• Title/Summary/Keyword: Level of ITs performance

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A Kill-Assessment Technique Using Hypothesis Testing and Kalman Filter (가설 검증과 칼만 필터를 이용한 격추평가 기법 연구)

  • Kim, Ho-Jeong;Lee, Dong-Gwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.9 no.4
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    • pp.5-14
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    • 2006
  • The correct and opportune decision of reengaging the intercepted target is required in order to enhance the engagement performance of the surface to air missile systems that has the ability to defense or attack against various targets at the same time. The engagement efficiency and success of these systems will be largely enhanced by assigning quickly its system resources to the intercepted target and minimizing the waste of system resources for the target which is not able to attack any more. The kill-assessment algorithm has to be able to evaluate automatically whether various targets intercepted by missiles are killed or not on the basis of the reasonable confidence level. The definition of kill assessment is discussed and the kill assessment algorithm is designed reliably by using Kalman filter and a probability theory. Finally its performance is evaluated and analyzed by the Monte Carlo simulation.

Self-evaluation model for TQM activity

  • Osada, Hiroshi;Yamazaki, Masahiko
    • International Journal of Quality Innovation
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    • v.1 no.1
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    • pp.75-80
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    • 2000
  • Objective evaluation is necessary for the company to know the level of its TQM activity and to improve it. This article proposes self-evaluation model for TQM activity through comparison study of the examination viewpoints for the Deming Prize with criteria of the Malcolm Baldridge National Quality Award. Proposed self-valuation model consists of three evaluation categories i.e. management system, management performance and survey/audit system. Evaluation on these categories is done for process and performance by using scoring method. This self-evaluation model is useful for checking the progress of TQM and make company recognize the strength and weakness of its TQM activity, namely, positioning analysis.

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PREREQUISITE OF SUPERIOR PERFORMANCE : MANAGING COALIGNMENT IN A DYNAMIC CONDITION

  • Yoo, Jae-Wook;Seong, Byeong-Chan
    • Management & Information Systems Review
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    • v.25
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    • pp.35-55
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    • 2008
  • We draw on well-established thinking in the complementary fields of organization theory and strategic management to develop a model explaining why fit among a firm's competitive strategy, its structure, and its technology is a prerequisite for superior performance. The contributions of this theoretical treatise are twofold. Firstly, it helps reduce the disconnect in thinking that exists between the strategy and organization-theory literatures on business-level issues. Secondly, it reveals the importance of managing the coalignment among strategy, structure, and technology which, in turn, forces recognition that competitive advantage does not exist in a static state but in a dynamic condition.

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A Study on DRP System for Logistics Improvement - A Case of a Multi-sourcing Logistics System (물류개선을 위한 DRP시스템에 관한 연구 - 복수공급원이 있는 물류시스템을 중심으로-)

  • 장융남
    • Korean Management Science Review
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    • v.11 no.1
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    • pp.73-90
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    • 1994
  • Recently the recongnition of Logistics becomes important to enterpries as a means for improving their competition, but the Korea enterpries falls for far behind in management techniques for analyzing realities and problems in the Logistics compare to the advanced countries. Especially the function of inventory control which is most undeveloped in them should be improved in Korea. Inventory is very important in Logistics, but there exists trade-off between inventory level and customer in the service level. It is difficult to coordinate both the reduction in the inventory level and the enhancement in the service level. Its effective technique is a DRP system. In general, it deals with arborescent distribution network in which a given channel member has a single source of supply. This article aims to present a DRP system, and more a DRP system which is flexible and responsive in the multisourcing, multi-echelon distribution network. Related research issues are discussed. Finally, using a DRP system on logistics and the management performance. So we can help the physical distribution improvement of the Korean enterprises.

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Physical Layer Diversity and its Effects on the Performance of WLANs (물리 계층의 다양성과 무선 랜의 성능에 미치는 영향)

  • Choi, Sunwoong;Park, Kihong;Kim, Chong-Kwon
    • Journal of KIISE:Information Networking
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    • v.32 no.6
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    • pp.723-731
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    • 2005
  • Wide spread deployment of infrastructure WLANs has made Wi Fi an integral part of today's Internet access technology. Despite its crucial role in affecting end to end performance, past research has focused on MAC protocol enhancement, analysis and simulation based performance evaluation without sufficient consideration for modeling inaccuracies stemming from inter layer dependencies, including physical layer diversity, that significantly impact performance. We take a fresh look at IEEE 802.11 WLANs, and using experiment, simulation, and analysis demonstrate its surprisingly agile performance traits. Contention based MAC throughput degrades gracefully under congested conditions, enabled by physical layer channel diversity that reduces the effective level of MAC contention. In contrast, fairness and jitter significantly degrade at a critical offered load. This duality obviates the need for link layer flow control for throughput improvement but necessitates traffic control for fairness and QoS. We use experimentation and simulation in a complementary fashion, pointing out performance characteristics where they agree and differ.

Investigation of Key Factors to measure on-site Performance of a Construction firm

  • Lee, Young-Dai;Kim, Jung-Ki;Acharya, Nirmal Kumar
    • Korean Journal of Construction Engineering and Management
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    • v.8 no.6
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    • pp.246-262
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    • 2007
  • The performance of projects has always been an area of interest in the construction industry. Roles of all construction supply chain partners are necessary; however the role of a contractor firm in the construction project is pivotal. So, this research intended to explore a Construction Firm's performance criteria which could measure the level of performance of that firm in an ongoing project. Data was collected from construction professionals working in three principal project participant organizations, namely Owner, Consultant and Contractor. A total of 113 nos. of performance measuring items were sorted from literature review and used to collect data. Statistical tools processed by SPSS program was employed to analyze the data. Out of total 113 items, only 65 nos. of variables were found to be acceptable to every population group of this study. Factor analysis revealed 12 key performance predicting factors (KPPF) with 53 predictive indicators. 12 KPPFS with index weight are: work progress and smoothening (9.3%), change order management and work accuracy (9.1%), business relationship building (8.1%), adequacy of construction work procedure (8.6%), quality performance (8.0%), health and site safety adequacy (8.8%), Innovative contractor (8.0%), adequacy of construction site information (6.8%), compliance with contract plan/specification requirements (8.9%), creditworthiness and financial capability (8.3%), intra-agency relationship and responsiveness (7.0%) and resource management (9.2%). These results could be useful to project management body to evaluate performance of its contractor firm on site as well as the contractor itself to assess own performance and its subcontractors on-site.

Development of a customized GPTs-based chatbot for pre-service teacher education and analysis of its educational performance in mathematics (GPTs 기반 예비 교사 교육 맞춤형 챗봇 개발 및 수학교육적 성능 분석)

  • Misun Kwon
    • The Mathematical Education
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    • v.63 no.3
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    • pp.467-484
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    • 2024
  • The rapid advancement of generative AI has ushered in an era where anyone can create and freely utilize personalized chatbots without the need for programming expertise. This study aimed to develop a customized chatbot based on OpenAI's GPTs for the purpose of pre-service teacher education and to analyze its educational performance in mathematics as assessed by educators guiding pre-service teachers. Responses to identical questions from a general-purpose chatbot (ChatGPT), a customized GPTs-based chatbot, and an elementary mathematics education expert were compared. The expert's responses received an average score of 4.52, while the customized GPTs-based chatbot received an average score of 3.73, indicating that the latter's performance did not reach the expert level. However, the customized GPTs-based chatbot's score, which was close to "adequate" on a 5-point scale, suggests its potential educational utility. On the other hand, the general-purpose chatbot, ChatGPT, received a lower average score of 2.86, with feedback indicating that its responses were not systematic and remained at a general level, making it less suitable for use in mathematics education. Despite the proven educational effectiveness of conventional customized chatbots, the time and cost associated with their development have been significant barriers. However, with the advent of GPTs services, anyone can now easily create chatbots tailored to both educators and learners, with responses that achieve a certain level of mathematics educational validity, thereby offering effective utilization across various aspects of mathematics education.

Review of Intelligent Transportation Systems Model Deployment Initiative (지자체 지능형교통체계 구축사업의 평가와 발전방안)

  • Nam Doohee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.4 no.2 s.7
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    • pp.33-43
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    • 2005
  • In autumn 2000, the Korea Ministry of Construction and Transportation (MOCT) announced that Daejeon metropolitan city, Jeonju and Jeju were chosen to showcase deployment of Intelligent Transportation Systems(ITS). The program called the Advanced Transportation Systems Model Deployment Initiatives makes a significant step in Intelligent Transportation Infrastructure (In) in Korea. The Initiative is poised to increase the performance and efficiency of the area's roadway and transportation systems to meet growth demand. Three citie's $\$$50 million Model Deployment Initiative project is poised to increase the performance and efficiency of the area's roadway and transportation systems to meet growth demand. The effort particularly focused on the traveler information systems that should raise the level of ITS awareness in Korea. In this paper, project management, funding, private investment, procedures and detailed review of ITS Model Deployment Initiatives are discussed.

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A Study of LLVM-based Embedded System Performance Analyzer (LLVM 기반의 임베디드 시스템 성능 분석기의 연구)

  • Cho, Doosan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.577-582
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    • 2022
  • For developing a new embedded system, an application program/an emulator and a compiler are developed simultaneously. In order to provide the optimal performance of all system components, local optimization should be carried out for the developing process. For this purpose, if a source-level performance analyzer is developed, it is possible to optimize the application program's source code by the performance evaluation. In general, the performance of an application program is determined in the loop iterations. The Intermediate Representation (IR) code generator generates IR code from the source code, and evaluates the execution time with the instructions in the intermediate representation code. If the source code is improved based on the evaluated result, better results can be obtained in the final application code. This study describes the source-level performance analyzer that can be used during the simultaneous development of the new embedded system and its application programs. The performance analyzer makes it possible to more quickly optimize the performance of the new embedded system.

An Effective Multivariate Control Framework for Monitoring Cloud Systems Performance

  • Hababeh, Ismail;Thabain, Anton;Alouneh, Sahel
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.1
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    • pp.86-109
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    • 2019
  • Cloud computing systems' performance is still a central focus of research for determining optimal resource utilization. Running several existing benchmarks simultaneously serves to acquire performance information from specific cloud system resources. However, the complexity of monitoring the existing performance of computing systems is a challenge requiring an efficient and interactive user directing performance-monitoring system. In this paper, we propose an effective multivariate control framework for monitoring cloud systems performance. The proposed framework utilizes the hardware cloud systems performance metrics, collects and displays the performance measurements in terms of meaningful graphics, stores the graphical information in a database, and provides the data on-demand without requiring a third party software. We present performance metrics in terms of CPU usage, RAM availability, number of cloud active machines, and number of running processes on the selected machines that can be monitored at a high control level by either using a cloud service customer or a cloud service provider. The experimental results show that the proposed framework is reliable, scalable, precise, and thus outperforming its counterparts in the field of monitoring cloud performance.