• Advanced Industrial SCIence
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• v.3 no.2
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• pp.17-22
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• 2024

Recently, as the ICT field has been used in various environments, it has become possible to analyze pests by crops, use robots when harvesting crops, and predict by big data by utilizing ICT technologies in a sustainable agricultural environment. However, in a sustainable agricultural environment, efforts to solve resource depletion, agricultural population decline, poverty increase, and environmental destruction are constantly being demanded. This paper proposes an artificial intelligence-based big data processing analysis method to reduce the production cost and increase the efficiency of crops based on a sustainable agricultural environment. The proposed technique strengthens the security and reliability of data by processing big data of crops combined with AI, and enables better decision-making and business value extraction. It can lead to innovative changes in various industries and fields and promote the development of data-oriented business models. During the experiment, the proposed technique gave an accurate answer to only a small amount of data, and at a farm site where it is difficult to tag the correct answer one by one, the performance similar to that of learning with a large amount of correct answer data (with an error rate within 0.05) was found.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.1-8
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• 2024

In the API gateway, API composition is an essential function that can reduce the number of client calls and prevent over-fetching and under-fetching. API composition that operate with IMJ (In-Memory Join) consume a lot of resources, putting a burden on the performance of the API gateway. In this paper, to improve the problem of IMJ-style API composition, we propose SAPIC (Stream-based API Composition), which delivers the data to be composed to the client by streaming. SAPIC calls each MSA API that makes up the client response data and immediately streams the received response data to the client, reducing the resource consumption of the API gateway and providing faster response time compared to IMJ. As a result of a comparison experiment with GraphQL, a representative API combination technology, SAPIC recorded a maximum CPU occupancy rate of approximately 21 to 70 % lower, a maximum heap usage rate of approximately 16 to 74 % lower, and a throughput rate that was 1 to 2.3 times higher than GraphQL.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.372-384
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• 2012

CEO's business network is important to the establishment and growth of companies and it is recognized as an essential element in regional development, but the related research and studies including surveys on the characteristics and performance of the CEO's network and its activities are lacking. This study aimed at companies located in the northwestern part of the Chungnam to survey about CEO's network activities, and research about the characteristics and performance expectancy of the network was carried out. As research methods, we discussed the previous studies, designed and analyzed the research models empirically using the survey. Analysis based 3 stages approach showed that the performance expectancy on human resource such as recruit was not affected by any factors overall. CEO's satisfaction affect significantly to the both of performance expectations of finance and general management by types of the network and its differentiated program. Executive activities, # of joining network, and period of activity affected also conditionally. This study have contributions that enable businessmen can take advantage of strategic use on the region's business network activity.

• International Commerce and Information Review
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• v.14 no.2
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• pp.249-269
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• 2012

The focus of our work is to identify and understand the drivers of alliance performance so that businesses can maximize their chances of a successful alliance-an area that has received little attention in empirical modeling. Although both conceptual and applied research on alliances has increased, an empirically tested comprehensive theoretical model that explains alliance performance has yet to be developed. Using five salient perspective, namely market power theory, transaction cost theory, the resource-based view, institutional theory, real option theory, this paper attempts to provide a theoretical rationale linking motives of global alliance networks on firm's capabilities, partner's capabilities, operating structures, and performances of Korean companies. The key contribution of this study is that it paints a picture of what matters in driving alliance performance. Our work shows the complex nature of driving performance and the interplay of firm's capabilities, partner's capabilities, and operating structures for understanding alliance performances. This study has given us a small but significant step forward towards understanding the intricacies of alliance performance. We are now better able to understand the respective roles played by various alliance factors and derive insights that lead to improved alliance performance.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.8
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• pp.245-252
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• 2015

Recently, parallel processing methods with accelerator have been introduced into a high performance computing and a mobile computing. The photomosaic application can be parallelized by using inherent data parallelism and accelerator. In this paper, we propose a way to distribute the workload of the photomosaic application into a CPU and GPU heterogeneous computing environment. That is, the photomosaic application is parallelized using both CPU and GPU resource with the asynchronous mode of OpenCL, and then the optimal workload distribution rate is estimated by measuring the execution time with CPU-only and GPU-only distribution rates. The proposed approach is simple but very effective, and can be applied to parallelize other applications on a CPU and GPU heterogeneous computing environment. Based on the experimental results, we confirm that the performance is improved by 141% into a heterogeneous computing environment with the optimal workload distribution compared with using GPU-only method.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.1
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• pp.55-72
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• 2002

Purpose : This study aimed at understanding the lived experience of new graduate nurse in hospital setting.Method : This study was based on a phenomenological approach. For this study, 8 new graduate nurses participated. The unstructured in-depth interviews were carried out from June to October, 1998. The data was analyzed Van Kaam's method.Results : Clinical new graduate nurses experienced clinical adaptation and endeavor, professional conflict of nursing, disability of nursing performance, work stress and management, maladaptation of human relationships, diverse emotions of interpersonal relationships, change of personal identity, difference between theory and reality of nursing.Clinical adaptation and endeavor included to get familiar with hospital life, satisfaction and worth for nursing, to get familiar with scoldings, calm down by oneself, efforts for self-development. Professional conflicts of nursing included future uncertainties in the hospital, dissatisfactions in work, doubts and regrets in nursing.Disability of nursing performance included lack of knowledges and skills, desolate working, stresses from mistake in working. Work stress and management included psychological signs and symptoms, physical signs and symptoms, management of stress. Maladaptation of human relationships included unsuitabilities in nursing unit climate, difficulties in human relationship. Diverse emotions of interpersonal relationships included regrets and absurdities to clients, thanks and regrets to colleagues, difficulties with doctors, sense of rivalry with colleague nurses. Change of personal identity included to become narrowing life circle, change of personality. The differences between theoretical knowledge and practice included needs of systematic pre-education for clinical nursing practice, differences between nursing educations and clinical practices.Conclusion : Therefore, the human resource management reflecting new graduate nurses' experiences should be developed.

• Smart Structures and Systems
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• v.21 no.4
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• pp.421-433
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• 2018

Carbon fiber reinforced polymer (CFRP) cable has good mechanical properties and corrosion resistance. However, the anchorage of CFRP cable is a big issue due to the anisotropic property of CFRP material. In this article, a high-efficient bonding anchorage with novel configuration is developed for CFRP cables. The acoustic emission (AE) technique is employed to evaluate the performance of anchorage in the fatigue test and post-fatigue ultimate bearing capacity test. The obtained AE signals are analyzed by using a combination of unsupervised K-means clustering and supervised K-nearest neighbor classification (K-NN) for quantifying the performance of the anchorage and damage evolutions. An AE feature vector (including both frequency and energy characteristics of AE signal) for clustering analysis is proposed and the under-sampling approaches are employed to regress the influence of the imbalanced classes distribution in AE dataset for improving clustering quality. The results indicate that four classes exist in AE dataset, which correspond to the shear deformation of potting compound, matrix cracking, fiber-matrix debonding and fiber fracture in CFRP bars. The AE intensity released by the deformation of potting compound is very slight during the whole loading process and no obvious premature damage observed in CFRP bars aroused by anchorage effect at relative low stress level, indicating the anchorage configuration in this study is reliable.

• Journal of Broadcast Engineering
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• v.22 no.6
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• pp.693-701
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• 2017

In this paper, we propose a new method for music genre classification using spikegram and deep neural network. The human auditory system encodes the input sound in the time and frequency domain in order to maximize the amount of sound information delivered to the brain using minimum energy and resource. Spikegram is a method of analyzing waveform based on the encoding function of auditory system. In the proposed method, we analyze the signal using spikegram and extract a feature vector composed of key information for the genre classification, which is to be used as the input to the neural network. We measure the performance of music genre classification using the GTZAN dataset consisting of 10 music genres, and confirm that the proposed method provides good performance using a low-dimensional feature vector, compared to the current state-of-the-art methods.

• Asian-Australasian Journal of Animal Sciences
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• v.20 no.10
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• pp.1490-1495
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• 2007

Insulin-like growth factor binding protein-4 (IGFBP-4) is a member of the IGF super family, and regulates the action of IGFs. The polymorphism of porcine IGFBP-4 gene in 17 pig breeds (total n = 570) was detected by PCR-SSCP, and alleles A and B were detected. In these pig breeds, it was found that exotic pig breeds carried high frequencies of allele A, while Chinese native pig breeds carried high frequencies of allele B. The role of porcine IGFBP-4 was investigated in 172 F2 offspring of a $Lantang{\times}Lantang $ population. Forty eight growth traits were recorded for analyzing the association between IGFBP-4 gene polymorphism and quantitative performance traits. In this resource family, pigs with AA genotype had higher fore-body weight, bone weight of mid-body, bone weight of rear-body, fore-leg weight and rear-leg weight than those pigs with BB genotype (p<0.05); while pigs which carried BB genotype had higher back-fat thickness at C point and lard weight than those pigs with AA genotype (p<0.05); pigs with AA genotype had higher body weight than those with BB genotype; for meat quality traits, pigs with AA genotype had higher meat color than those of BB genotype (p<0.01), and pigs with BB genotype had higher marbling than those of AA and AB genotypes (p<0.01 and p<0.05, respectively).Based on these results, it is necessary to do more studies on IGFBP-4 before using the IGFBP-4 locus for the application of marker-assisted selection programs.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.550-556
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• 2018

This study conducted AHP analysis to find out the directional of human resource management through policy priorities for personnel innovation of local public officials. The results of the study were derived using the AHP analysis methodology. The results of the study are summarized as follows. First, the interchange of personnel system was the most important measure among the measurement areas of interchange of personnel system, education training system, recruitment management system and appointment management system. Second, from the point of view of evaluation item, it is as follows. In the personnel interchange system, it was found that the conversion of personnel management based on job performance and performance was important. In the position management system, it is important to appoint and expand professional positions. In the recruitment management system, the introduction of personality and aptitude tests used in the private sector is important. Development of customized curriculum programs is important in the education and training system.