• Journal of Astronomy and Space Sciences
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• v.36 no.2
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• pp.97-103
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• 2019

An automated signal-acquisition method for the NASA's space geodesy satellite laser ranging (SGSLR) system is described as a selection of two system parameters with specified probabilities. These parameters are the correlation parameter: the minimum received pulse number for a signal-acquisition and the frame time: the minimum time for the correlation parameter. The probabilities specified are the signal-detection and false-acquisition probabilities to distinguish signals from background noise. The steps of parameter selection are finding the minimum set of values by fitting a curve and performing a graph-domain approximation. However, this selection method is inefficient, not only because of repetition of the entire process if any performance values change, such as the signal and noise count rate, but also because this method is dependent upon system specifications and environmental conditions. Moreover, computation is complicated and graph-domain approximation can introduce inaccuracy. In this study, a new method is proposed to select the parameters via a conditional equation derived from characteristics of the signal-detection and false-acquisition probabilities. The results show that this method yields better efficiency and robustness against changing performance values with simplicity and accuracy and can be easily applied to other satellite laser ranging (SLR) systems.

• Journal of information and communication convergence engineering
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• v.13 no.2
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• pp.97-104
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• 2015

In this paper, we propose a data envelopment analysis (DEA) and analytic hierarchy process (AHP) integrated model to improve the selection process in the acquisition of a weapon system which is the key component to the success of the project. In particular, we applied DEA in the first stage to choose a frontier group among the candidates in the selection process of the next-generation fighter system (the 3rd FX) in Korea. Then, by using the Delphi technique, we surveyed military experts and applied AHP to determine the best choice among the candidates. The results of the study match the actual decision made by the Korean government in the weapon system acquisition. The results of the proposed DEA-AHP integrated method in the selection of the next-generation fighter systems in Korea demonstrate the usefulness of the method. In this paper, we also discuss the future implications of the proposed model.

• Management & Information Systems Review
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• v.18
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• pp.69-90
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• 2006

In this empirical study, we try to find major factors influencing the selection of technology acquisition strategy, and to examine the relation between technology acquisition strategies and corporate performances. The results of this study are as follows. Firstly, it is required to make intrinsic efforts for the harmony of technology acquisition strategies, which guarantees the effective acquirement of new technology. Secondly, we should pay particular attention to the harmony of external and internal resources for the corporate growth, Finally, the development of new technology is to be made on the basis of technology acquisition strategy established in terms of resources.

• Journal of Intelligence and Information Systems
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• v.1 no.2
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• pp.123-137
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• 1995

Most of solution methods in scheduling attempt to generate good solutions by either developing algorithms or heuristic rules. However, scheduling problems in the real world require considering more factors such as multiple objectives, different combinations of heuristic rules due to problem characteristics. In this respect, the traditional mathematical a, pp.oach showed limited performance so that new a, pp.oaches need to be developed. Expert system is one of them. When an expert system is developed for scheduling one of the most difficult processes faced could be knowledge acquisition on scheduling heuristics. In this paper we propose a method for the acquisition of knowledge on the selection of scheduling heuristics using Dempster-Shafer Theory(DST). We also show the examples in the multi-objectives environment.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.168-171
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• 2011

One important issue in semantic web is identification and selection of domain concepts for domain ontology learning when several hundreds or even thousands of terms are extracted and available from relevant text documents shared among the members of a domain. We present a novel domain concept acquisition and selection approach for ontology learning that uses affinity propagation algorithm, which takes as input semantic and structural similarity between pairs of extracted terms called data points. Real-valued messages are passed between data points (terms) until high quality set of exemplars (concepts) and cluster iteratively emerges. All exemplars will be considered as domain concepts for learning domain ontologies. Our empirical results show that our approach achieves high precision and recall in selection of domain concepts using less number of iterations.

• Journal of Korean Library and Information Science Society
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• v.14
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• pp.217-240
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• 1987

The purpose of this study is to analyse the current theses acquisition in university libraries and to suggest some useful findings for the more efficient acquisition of the theses. The results of the study can be summarized as follows (1) Depositary copies of each thesis in the libraries should be increased. (2) Under cooperative efforts, libraries must establish the exchange system of the theses by region or subject or characteristics of universities. (3) Each library should set up concrete selection criteria for the receiving of theses. (4) Development of purchase system would be necessary for economic and prompt acquisition of theses. (5) Theses should be microformed so as to save their storage space. (6) To give su n.0, pport to effective acquisition activity, various bibliographies about theses should be published.

• International journal of advanced smart convergence
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• v.10 no.1
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• pp.56-61
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• 2021

Neighbor path selection is to pre-select alternate routes in case geographically correlated failures occur simultaneously on the communication network. Conventional heuristic-based algorithms no longer improve solutions because they cannot sufficiently utilize historical failure information. We present a novel solution model for neighbor path selection by using machine learning technique. Our proposed machine learning neighbor path selection (ML-NPS) model is composed of five modules- random graph generation, data set creation, machine learning modeling, neighbor path prediction, and path information acquisition. It is implemented by Python with Keras on Tensorflow and executed on the tiny computer, Raspberry PI 4B. Performance evaluations via numerical simulation show that the neighbor path communication success probability of our model is better than that of the conventional heuristic by 26% on the average.

• Journal of the military operations research society of Korea
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• v.3 no.2
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• pp.49-77
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• 1977

Weapon systems are curcial instruments for the security of a nation and critical elements for the victory in a war. Since modern weapon systems tend to be capital-intensive with high precision and quality, they become more and more complex and diversified; their acquisition costs become huge; and their technological obsolescence becomes accelerated. Therefore, the systematic management of weapon acquisition process would be one of the most important defense tasks at the national level. To analyze such problems and find solutions, this paper has studied various aspects related to the efficient management of weapon system acquisition. After brief summarization of the general characteristics of weapon systems, their effectiveness, and developmental trend, the paper discusses the defense management policies and techniques for the weapon systems. Specifically, four alternative acquisition methods such as indigenous R & D, foreign purchase, co-production and joint-production are discussed and analyzed by systems approach. The systems analysis procedure to evaluate and select weapon acquisition method is as follows; 1) to analyze the merits and demerits of the alternative methods, 2) to screen unrealistic alternatives through the consideration of significant factors such as political, economic, military, technological, and social constraints, 3) to evaluate and select an optimal one among the remaining acquisition methods after the cost-effectivenss analysis. For the base of cost-effectivess analysis, cost analysis model as well as effectiveness analysis model of each acquisition method are developed.

• Korean Journal of Construction Engineering and Management
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• v.13 no.1
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• pp.77-86
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• 2012

Progress measurement provides project participants with valuable information in terms of 'current status', 'corrective countermeasure', and 'forecast of future risks'. However, the managerial effort (or workload) required to acquire and maintain detailed progress data has been the major barrier to practical implementation. Even though recent efforts in utilizing data acquisition technologies (DATs) have actively attempted to automate the progress measurement process, previous DAT research has only been focused on limited construction tasks or selected technologies. This paper proposes a DAT selection algorithm that automatically assign an appropriate DAT for every commodity item for an entire constriction project. Five different criteria were identified and developed in order to comprehend specific requirements for automating the progress measurement of each commodity group. A case-study and also a survey from practitioners were conducted in order to validate the proposed methodology.

• Journal of Korean Library and Information Science Society
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• v.43 no.3
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• pp.457-479
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• 2012

This paper strives to illustrate the selection processes in public libraries. It specifically attempts to survey the budget allocation, collection development policy, usage of selection criteria, and priority of selection decision in collection development units in public libraries. Staff structure, committee activities, methods of selection, usage of selection tools and librarians' recognitions about selection process are also investigated. Data are drawn from a survey with 315 public libraries in the country. Specific statistics to be analyzed via literature, although not detailed in nature, are scrutinized as well. As a conclusion, the paper discusses such an issue as current situation in selection of materials public libraries and possible impetus toward a better collection development process.