• Asian-Australasian Journal of Animal Sciences
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• v.12 no.3
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• pp.435-444
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• 1999

This paper summarizes the size and output of the major animal industries in Australia and the feed resource available to maintain production. The most important feed source is pasture but there is also extensive use of cereal grains, pulses and by-products in the intensive animal industries and in supplementing the diet of grazing animals. These resources must be used in ways that ensure sustainable production. We outline a number of Decision Support Systems such as GrazFeed, GrassGro, and AusPig which play an important role in optimizing the way in which resources are used. Waste management with respect to mineral pollution of water courses and methane production as a greenhouse gas are important issues for the animal industries and are also considered.

• The Journal of Information Systems
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• v.6 no.1
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• pp.257-291
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• 1997

Today, executives in the company operate their organizations under highly competitive environments with dynamic technological, economic, and political changes. Under these new environment changes, they play the important role in establishing the future directions and strategic orientations of organizations. In general, executive information systems (EIS) are designed to support these roles of executives. They can help executives access and use the information they require about the organization's internal and external environments. In spite of such potential EIS support for executives, only a limited number of empirical studies have been published in this area. by employing a well-established theory of computer usage behavior (Technology Acceptance Model : TAM), this study systematically investigates the key factors in the successful utilization of an EIS. The empirical results from this study may prove useful for both IS researchers and practitioners.

• Journal of Korean Academy of Nursing Administration
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• v.23 no.1
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• pp.1-7
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• 2017

Nursing research in the United States (US) spans several decades. Many of the priorities/trends have stayed through the years. Today, the goal of producing evidence to support nursing care interventions coupled with the drive for Magnet Recognition has encouraged academic nurses (faculty) to work with nurse clinicians to form research teams. Interdisciplinary research teams have also formed to address growing concerns over patient safety and quality care. These issues are not just US issues but global ones. This article addresses US trends with the link to global research trends. The role that organizations such as the International Council of Nurses (ICN), the World Health Organization (WHO), and the Council of International Neonatal Nurses, Inc. (COINN) pay in shaping research agendas and promoting nursing research is highlighted. It emphasizes the key role that nurses, especially nurse leaders/administrators play in changing health outcomes through support of nursing research.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.6
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• pp.345-352
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• 2015

Recently, by developing many training systems in battle field, the demand for interconnecting and internetworking between Live, Virtual, Constructive training systems has been increased to support efficient data distribution and system control. But, there are lots of problems for them to interwork, because the existing researches only support L-L, V-V, C-C Interoperability. Therefore, we propose L-V-C gateway to provide interoperable simulation environment based on HLA and DDS between them. First, we illustrate FOM Management that parses RPR-FOM XML file to acquire Data information to be shared between them, and generates common data structure and source code used for L-V-C Gateway. L-V-C Gateway created from FOM Management supports Data Conversion and Quality of Service between HLA and DDS. HLA Federate and DDS Domainparticipant in L-V-C Gateway play a role of logical communication channel and relay data from HLA Federation to DDS Domain and vice versa.

• Geomechanics and Engineering
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• v.15 no.1
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• pp.631-643
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• 2018

The estimation of the strength and other mechanical parameters characterizing the tensile behavior of granites can play an important role in civil engineering tasks such as design, construction, rehabilitation and repair of existing structures. The purpose of this paper is to apply data mining techniques, such as multiple regression (MR), artificial neural networks (ANN) and support vector machines (SVM) to estimate the mechanical properties of granites. In a first phase, the mechanical parameters defining the complete tensile behavior are estimated based on the tensile strength. In a second phase, the estimation of the mechanical properties is carried out from different combination of the physical properties (ultrasonic pulse velocity, porosity and density). It was observed that the estimation of the mechanical properties can be optimized by combining different physical properties. Besides, it was seen that artificial neural networks and support vector machines performed better than multiple regression model.

• Korean Journal of Child Studies
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• v.15 no.1
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• pp.23-35
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• 1994

This paper investigated children's learning process concerning age and gender, two of the most apparent social roles. The subjects of the study were 72 Korean preschool children between three to five years of age. The Study was designed to examine problems of developmental sequence and horizontal decalage in understanding of these social roles. Two five-step knowledge sequences of age growth and sex constancy were administered utilizing skill theory (Fischer, 1980). Each step in a sequence had different stories of age or sex role with increasing cognitive complexity, but the two sequences were equivalent in complexity. The children were tested under two different assessment conditions:high support condition of elicited imitation and low support condition of free play and the best story. The findings show that, the understanding of age and sex roles develops through the predicted five-step sequences. The understanding of age role seems to develop earlier than that of sex role although the developmental patterns of the two roles are similar. Variations in the children's performances under different conditions were dramatic, especially for the older children.

• Journal of the Ergonomics Society of Korea
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• v.25 no.4
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• pp.63-69
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• 2006

Consumer satisfaction and feelings with form play an essential role in determining the success of a product. However, contemporary industrial design processes typically employ designer driven, intuitive methods for generating and evaluating form concepts. This paper describes the implementation process of web based design support system that helps assess customer's feelings or sensibilities of forms created in each stages of design process. The present web based approach provides designers with fast and various feedbacks about their design in each stage by using assessment with object VR and web 3D as well as ordinary 2D images. Practical application for exterior design of electric vehicle was illustrated and the further refinement of the design support system was discussed.

• JSTS:Journal of Semiconductor Technology and Science
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• v.16 no.3
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• pp.261-273
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• 2016

Reconfigurable finite impulse response (FIR) filters whose filter coefficients and filter order change dynamically during run-time play an important role in the software defined radio (SDR) systems, multi-channel filters, and digital up/down converters. However, there are not many reports on such reconfigurable designs which can support dynamic variation of filter order and filter coefficients. The purpose of this paper is to provide an architectural solution for the FIR filters to support run-time variation of the filter order and filter coefficients. First, two straightforward designs, namely, (i) single-MAC based design and (ii) full-parallel design are presented. For large variation of the filter order, two designs based on (iii) folded structure and (iv) fast FIR algorithm are presented. Finally, we propose (v) high throughput design which provides significant advantage in terms of hardware and/or time complexities over the other designs. We compare complexities of all the five structures, and provide the synthesis results for verification.

• Journal of Information Technology Services
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• v.2 no.1
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• pp.1-15
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• 2003

Relentless competition and price cutting race make small/medium software business very difficult to maintain their business. Especially small software businesses are often at a disadvantage when they try to win government contracts, Due to the characteristics and importance of software industry, there is no doubt that government support for mall/medium software business is indispensible. In fact, the development of the US software industry has been strongly influenced by government policy during postware period. This paper attempts to examine the general small/medium business supporting policies currently implemented. In addition, policies in the construction industry and the US federal government are explored, in order to find appropriate roles the government should play.

• Journal of the Korea Society of Computer and Information
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• v.23 no.1
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• pp.9-15
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• 2018

Policy polls, which investigate the degree of support that the policy has for policy implementation, play an important role in making decisions. As the number of Internet users increases, the public is actively commenting on their policy news stories. Current policy polls tend to rely heavily on phone and offline surveys. Collecting and analyzing policy articles is useful in policy surveys. In this study, we propose a method of analyzing comments using deep learning technology showing outstanding performance in various fields. In particular, we designed various models based on the recurrent neural network (RNN) which is suitable for sequential data and compared the performance with the support vector machine (SVM), which is a traditional machine learning model. For all test sets, the SVM model show an accuracy of 0.73 and the RNN model have an accuracy of 0.83.