• International Journal of Quality Innovation
• /
• v.7 no.3
• /
• pp.98-106
• /
• 2006

Nowadays, agro-firms are confronted with competition from global suppliers in both domestic and export markets. Such competition in sustainable agro-operations is expected to intensify. The survival of these firms in developing countries urgently requires a significant transformation to be competitive. This paper discusses the rationale of adopting a national innovation (NI) approach from an industry-wide perspective. In order to attain sustainable agro-operations in developing countries, the approach stresses appropriate scientific and technological applications and effective linkages of technology transfer via the network between public and private institutions, universities and other research institutions. Central to this approach is the development of the agro-industrial sector whereby agri-chains are formed. An illustrated case of the NI approach is presented with respect to a small island developing state, the Republic of Trinidad and Tobago.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.26 no.3
• /
• pp.46-52
• /
• 2012

During the past decades, energy and Green House Gas(GHG) emissions has risen as a global issue. This paper is about the energy intensity and the GHG intensity in a university campus using the weighting factor of total occupied time to the members of the university. Through this analysis, we could separately estimate GHG intensity per full-time and part-time members under the situation that the measuring data is not perfect. This analyzing procedure could be applied to other non-manufacturing institutions such as school, hospital, governmental institute, office building etc.

• Industrial Engineering and Management Systems
• /
• v.13 no.2
• /
• pp.154-162
• /
• 2014

Effects of food scandals on religious belief, human health and even on causes of death indicate that firms and consumers are vulnerable to integrity risks in the global supply chain. Mitigating the integrity risk and maintaining the credence quality products like halal food is very challenging, if not impossible. Our aim in this research is to show that supply chain integration can mitigate the halal food integrity risk. To illustrate this idea, we have conducted case studies and interviews in seven Malaysian chicken supply chain focal firms. We unpack the halal integrity risks along the supply chain, such as production risk, raw material risk, food security risk, outsourcing practices risk, service risk, and logistics risk. The research argues that supply chain integration, such as internal integration and external integration practices, could minimize the halal integrity risk. The advantages of supply chain integration in mitigating the halal integrity risk are also highlighted in this paper.

• Structural Engineering and Mechanics
• /
• v.66 no.3
• /
• pp.399-409
• /
• 2018

This paper demonstrates the potential application of machine learning algorithms for approximate prediction of the load and deflection capacities of the novel type of Laced Steel Concrete-Composite (LSCC) beams proposed by Anandavalli et al. (Engineering Structures 2012). Initially, global and local responses measured on LSCC beam specimen in an experiment are used to validate nonlinear FE model of the LSCC beams. The data for the machine learning algorithms is then generated using validated FE model for a range of values of the identified sensitive parameters. The performance of four well-known machine learning algorithms, viz., Support Vector Regression (SVR), Minimax Probability Machine Regression (MPMR), Relevance Vector Machine (RVM) and Multigene Genetic Programing (MGGP) for the approximate estimation of the load and deflection capacities are compared in terms of well-defined error indices. Through relative comparison of the estimated values, it is demonstrated that the algorithms explored in the present study provide a good alternative to expensive experimental testing and sophisticated numerical simulation of the response of LSCC beams. The load carrying and displacement capacity of the LSCC was predicted well by MGGP and MPMR, respectively.

• Structural Engineering and Mechanics
• /
• v.76 no.3
• /
• pp.395-412
• /
• 2020

In this article, the values of internal force and deformation of a curved beam under any action with the firm or elastic supports are determined by using structural matrices. The article presents the general differential formulation of a curved beam in global coordinates, which is solved in an orderly manner using simple integrals, thus obtaining the transfer matrix expression. The matrix expression of rigidity is obtained through reordering operations on the transfer notation. The support conditions, firm or elastic, provide twelve equations. The objective of this article is the construction of the algebraic system of order twenty-four, twelve transfer equations and twelve support equations, which relates the values of internal force and deformation associated with the two ends of the directrix of the curved beam. This final algebraic system, expressed in matrix form, is divided into two subsystems: twelve algebraic equations of internal force and twelve algebraic equations of deformation. The internal force and deformation values for any point in the curved beam directrix are determined from these values in the initial position. The five examples presented show how to apply the matrix procedures developed in this article, whether they are curved beams with the firm or elastic support.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.7
• /
• pp.3172-3193
• /
• 2018

Recently, several studies have shown that linear representation based approaches are very effective and efficient for image classification. One of these linear-representation-based approaches is the Collaborative representation (CR) method. The existing algorithms based on CR have two major problems that degrade their classification performance. First problem arises due to the limited number of available training samples. The large variations, caused by illumintion and expression changes, among query and training samples leads to poor classification performance. Second problem occurs when an image is partially noised (contiguous occlusion), as some part of the given image become corrupt the classification performance also degrades. We aim to extend the collaborative representation framework under limited training samples face recognition problem. Our proposed solution will generate virtual samples and intra-class variations from training data to model the variations effectively between query and training samples. For robust classification, the image patches have been utilized to compute representation to address partial occlusion as it leads to more accurate classification results. The proposed method computes representation based on local regions in the images as opposed to CR, which computes representation based on global solution involving entire images. Furthermore, the proposed solution also integrates the locality structure into CR, using Euclidian distance between the query and training samples. Intuitively, if the query sample can be represented by selecting its nearest neighbours, lie on a same linear subspace then the resulting representation will be more discriminate and accurately classify the query sample. Hence our proposed framework model the limited sample face recognition problem into sufficient training samples problem using virtual samples and intra-class variations, generated from training samples that will result in improved classification accuracy as evident from experimental results. Moreover, it compute representation based on local image patches for robust classification and is expected to greatly increase the classification performance for face recognition task.

• Hwankyungkyoyuk
• /
• v.23 no.2
• /
• pp.65-81
• /
• 2010

Universities which have taken an important role to develop the human resources, became one of emitters of greenhouse gases, they need to find a way to reduce global warming gases through reduction of energy consumption. This study is intented to propose a solution that can reduce the greenhouse gases at universities located in Korea. To conduct this study, we have chosen a university at Wonju in Kangwon province for a case study and investigated the emissions of carbon dioxide from campus facilities and residential area. The data has become a footstone to estimate the assumed amount of carbon emission for top 23 energy consumption universities in Korea. We calculate the amount for carbon emission, not only for facilities in campus, but also for residential buildings, amount for emission is increased severely by showing $9780.94tCO_2$, which is 2.1 times more than average amount for emission of greenhouse gases researched in existing statistics. Universities have difficulty in introducing new energy generation system, as having been done business companies or other commercial facilities but they are required to introduce some educational methods since it is a academic space. Incentive to universities reducing carbon emission in campus is a system to provide incentives with students, professors, administrative personnels and others in campus as a compensation for their efforts to save energy. It is needed to establish the infrastructures for measuring energy consumption in campus.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.10
• /
• pp.8-15
• /
• 2020

A forecasting method using deep learning does not have consistent results due to the differences in the characteristics of the dataset, even though they have the same forecasting models and parameters. For example, the forecasting model X optimized with dataset A would not produce the optimized result with another dataset B. The forecasting model with the characteristics of the dataset needs to be optimized to increase the accuracy of the forecasting model. Therefore, this paper proposes novel optimization steps for outlier removal, dataset classification, and a CNN-LSTM-based hyperparameter tuning process to forecast the daily power usage of a university campus based on the hourly interval. The proposing model produces high forecasting accuracy with a 2% of MAPE with a single power input variable. The proposing model can be used in EMS to suggest improved strategies to users and consequently to improve the power efficiency.

• The Journal of the Korea Contents Association
• /
• v.10 no.4
• /
• pp.340-347
• /
• 2010

Though there are many crimes on and out university campus in Korea, no one knows anything about the size or the types of campus crime. But, there are many theft crimes and sex assault in the library and one-room village near the university campus. This study suggested the establish ways and means needed to improve the campus security system, with the focus on the CPTED(Crime Prevention Through Environmental Design). Various types of crime prevention methods are being considered instead of conventional crime suppression measures. Among them, CPTED is drawing global attention. Crime prevention through environmental design is a multi-disciplinary approach to deterring criminal behavior through environmental design. CPTED strategies rely upon the ability to influence offender decisions that precede criminal acts. A truly safe campus can be achieved only through the cooperation of all students, faculty, staff and visitors. The cooperation and involvement of the entire campus community in campus crime prevention is absolutely necessary. University should adopt a series of policies and procedures designed to ensure that every possible precaution is taken to protect persons and property on campus.

• Natural Product Sciences
• /
• v.20 no.1
• /
• pp.33-38
• /
• 2014

In recent times, the demand for edible medication for the treatment of hyperpigmentation has increased significantly. Therefore, the discovery of a stable, safe and inexpansive antimelanogenic component from natural substances, such as grains, is of particular interest. The levels and activities of some metabolites and/or enzymes can be increased. In the present study, we investigated the antimelanogenic effects of water-soluble extracts from barley (BE), malt (ME) and germinated barley (GBE) in melan-a cells. The inhibitory effects of ME and GBE on melanin production were significantly greater than that of BE. Interestingly, the content of ferulic acid, the proposed active component of barley, was also higher in ME and GBE than in BE by HPLC analysis. Western blot analysis of the expression of melanogenic enzymes in melan-a cells treated with BE, ME or GBE indicated the expression of both tyrosinase and tyrosinase-related protein 2 (TRP-2) significantly decreased after treatment with BE, ME or GBE. These results suggest that besides BE, ME and GBE also inhibit melanin production most likely through suppression of tyrosinase and TRP-2 expression. ME and GBE were more efficacious at inhibiting melanin production than BE was and may also represent potential skin-whitening agents.