• Journal of the Institute of Electronics Engineers of Korea TC
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• v.46 no.2
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• pp.89-96
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• 2009

As increasing the number of digital control devices installed on aircrafts and their transmission speed, various digital data buses have been introduced to provide reliable and high-speed characteristics. These characteristics of avionics data bus are highly related on the fault-tolerant performance which can make minimize jitter and loss during data transfer. In this paper, we concerned about a new traffic shaping scheme for increasing the reliability of Avionics Full Duplex Switched Ethernet (AFDX) systems based on ARINC 664 standard. We note that the conventional AFDX with a single regulator per virtual link system may produce aggregated traffics as the number of virtual links increasing. The aggregated traffic results in large jitters among frames. To remedy for the jitter and loss of data, we propose a dual regulator scheme for the AFDX system. The purpose of the additional regulator is to additionally regulate aggregated traffics from a number of per virtual link regulators. Using NS-2 simulator, we show that the proposed scheme provides a better performance than the single regulator one. It is worthwhile note that the proposed AFDX with Dual Regulator scheme can be employed to not only aircraft networks but other QoS sensitive networks for robot and industrial control systems.

• The Journal of Small Business Innovation
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• v.21 no.1
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• pp.15-26
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• 2018

SMEs need a strategy to respond to rapid changes in the global business environment of the Fourth Industrial Revolution. In order to overcome such a business environment, SMEs must concentrate on the core competency. Because of the structural characteristics of SMEs, government support is very important, as it is difficult for SMEs to carry out the entire supply chain role. The support of GRIs is very important for ensuring competitiveness through technological innovation of SMEs. Recently, the construction of SMEs network for business expansion is demanded. SMEs can form networks to induce synergistic effects. In order to secure the competitiveness of SMEs by utilizing the advantages of mutually cooperating networks, the necessity of cooperation of SMEs is increasing. The government has proposed various support programs to support network cooperation. In this research, in order to derive an effective strategy of the SME support program, we analyzed the difference in necessity and satisfaction of the GRIs support program. We analyze the differences between government policies and perceptions for SMEs and to derive strategies for supporting SMEs in a systematic approach for the development of SMEs. In a situation where research to revitalize SMEs is insufficient, in consideration of the market demand of SMEs, we grasp the problems of the current system and try to guide improvement strategies. Also, we suggest policies that can derive and utilize support strategies for SMEs. From a long-term perspective, research related SMEs must be conducted and a sustainable support program for SMEs must be developed.

• Journal of the Economic Geographical Society of Korea
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• v.7 no.1
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• pp.45-63
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• 2004

The main purpose of this article is to suggest policy implications for building innovative cluster in Korea by investigating the operating system and role of the Kanagawa Science Park (KSP) located in Kanagawa prefecture, Japan as a central network agent. The KSP established mainly by private and government partnership has played a critical role for building innovative clusters as a way in which increase national competitiveness. But they also provide variety of real service from R&D to commercialization for local firms by facilitating and coordinating networks among regional economic actors such as firms, universities and public research institutes. The regional policy as a way in which increase national competitiveness in Korea is also the establishment of innovative clusters based on regional and industrial characteristics. However, the main problem with building the innovative cluster is the reduction of policy effectiveness due to duplicated supporting and coordinating institutes and institutions established by the each central administration and local governments, aimed at facilitating networks among regional economic actors. In this context, the article suggests that there is a need to build a regional central network agent by designing an organic operating system for the effective management of each network agent in accordance with the process from R&D to commercialization, i.e. an encompassed supporting system, on the basis of benchmarking the KSP operating system in Japan.

• Journal of the Korean association of regional geographers
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• v.14 no.5
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• pp.521-535
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• 2008

This paper aims to explore the spatial distribution and locational characteristics of the shipbuilding industry in the south-east region of Korea. The geography of the Korea's shipbuilding industry illustrates an absolute spatial concentration into the south-east region, including Gyeongnam, Busan and Ulsan. In view of the type of agglomeration, it is argued that the south-east region's shipbuilding industry has been evolved as an Advanced Hub & Spoke cluster, which is characterized by interconnected relationships between a couple of gigantic customer firms and the majority of small and medium-sized supplier firms. A survey on the locational factors of the firms presents that traditional locational factors, such as physical infrastructure, land, labour and industrial linkages, are more important than new economic geographical locational factors, such as knowledge, learning, innovation and networks. According to firm's evaluation of the Gyeongnam region's locational environments for the shipbuilding industry is, however, rather different to the result of firm's location decision factors. The shipbuilding firms in Gyeongnam see that the Gyeongnam region retains regional advantages in terms of agglomeration economies, geographical proximity to customers, the infrastructure of transportation and communication and the quality of life. On the contrary, firms recognize that the Gyeongnam region suffers from the lack of R&D and production workforce and a weak basis of industry-university -government networks.

• Fisheries and Aquatic Sciences
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• v.24 no.10
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• pp.330-339
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• 2021

Oyster (Crassostrea gigas) is a marine bivalve mollusk widely distributed in coastal areas, and have been long widely used in industrial resources. Several studies demonstrated that fermented oyster (FO) extract attribute to bone health, but whether administration of FO play as an endocrine disruptor has not been studied. Therefore, in the present study, we investigated the effect of FO on the endocrine system in vitro and in vivo. As the results of the competitive estrogen receptor (ER) and androgen receptor (AR) binding affinities, FO was not combined with ER-α, ER-β, and AR. However, 17β-estradiol and testosterone, used as positive control, were interacted with ER and AR, respectively. Meanwhile, oral administration of 100 mg/kg and 200 mg/kg of FO doesn't have any harmful effect on the body weight, androgen-dependent sex accessory organs, estrogen-dependent-sex accessory organs, kidney, and liver in immature rats. In addition, FO supplementation has no effect on the serum levels of luteinizing hormone (LH), follicle stimulating hormone (FSH), testosterone, and 17β-estradiol. However, the relative weight of androgen- and estrogen-dependent organs were significantly increased by subcutaneously injection of 4.0 mg/kg of testosterone propionate (TP) and by orally administration of 1.0 ㎍ of 17α-ethynyl estradiol (EE) in immature male and female rats, respectively. Furthermore, TP and EE administration markedly decreased the serum LH and FSH levels, which are similar those of mature Sprague-Dawley (SD) rat. Furthermore, the testosterone and 17β-estradiol levels were significantly enhanced in TP and EE-treated immature rats. Taken together, our findings showed that FO does not interact with ER and AR, suggesting consequentially FO does not play as a ligand for ER and AR. Furthermore, oral administration of FO did not act as an endocrine disruptor including androgenic activity, estrogenic activity, and abnormal levels of sex hormone, indicating FO may ensure the safety on endocrine system to develop dietary supplement for bone health.

• Journal of Ecology and Environment
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• v.47 no.4
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• pp.272-281
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• 2023

Ecosystem observatories are burgeoning globally in an endeavour to detect national and global scale trends in the state of biodiversity and ecosystems in an era of rapid environmental change. In this paper we highlight the additional importance of regional scale outcomes of such infrastructure, through an introduction to the Great Western Woodlands TERN (Terrestrial Ecosystem Research Network) SuperSite, and key findings from three gradient plot networks that are part of this infrastructure. The SuperSite was established in 2012 in the 160,000 km² Great Western Woodlands region, in a collaboration involving 12 organisations. This region is globally significant for its largely intact, diverse landscapes, including the world's largest Mediterranean-climate woodlands and highly diverse sandplain shrublands. The dominant woodland eucalypts are fire-sensitive, requiring hundreds of years to regrow after fire. Old-growth woodlands are highly valued by Indigenous and non-Indigenous communities, and managing impacts of climate change and the increasing extent of intense fires are key regional management challenges. Like other TERN SuperSites, the Great Western Woodlands TERN SuperSite includes a core eddy-covariance flux tower measuring exchanges of carbon, water and energy between the vegetation and atmosphere, along with additional environmental and biodiversity monitoring around the tower. The broader SuperSite incorporates three gradient plot networks. Two of these represent aridity gradients, in sandplains and woodlands, informing regional climate adaptation and biodiversity management by characterising biodiversity turnover along spatial climate gradients and acting as sentinels for ecosystem change over time. For example, the sandplains transect has demonstrated extremely high spatial turnover rates in plant species, that challenge traditional approaches to biodiversity conservation. The third gradient plot network represents a 400-year fire-age gradient in Eucalyptus salubris woodlands. It has enabled characterisation of post-fire recovery of vegetation, birds and invertebrates over multi-century timeframes, and provided tools that are directly informing management to reduce stand-replacing fires in eucalypt woodlands. By building regional partnerships and applying globally or nationally consistent methodologies to regional scale questions, ecological observatories have the power not only to detect national and global scale trends in biodiversity and ecosystems, but to directly inform environmental decisions that are critical at regional scales.

• Information Systems Review
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• v.26 no.2
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• pp.45-57
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• 2024

This study develops a deep learning-based methodology for predicting Crude Palm Oil (CPO) prices. Palm oil is an essential resource across various industries due to its yield and economic efficiency, leading to increased industrial interest in its price volatility. While numerous studies have been conducted on palm oil price prediction, most rely on time series forecasting, which has inherent accuracy limitations. To address the main limitation of traditional methods-the absence of stationarity-this research introduces a novel model that uses the ratio of future prices to current prices as the dependent variable. This approach, inspired by return modeling in stock price predictions, demonstrates superior performance over simple price prediction. Additionally, the methodology incorporates the consideration of lag values of independent variables, a critical factor in multivariate time series forecasting, to eliminate unnecessary noise and enhance the stability of the prediction model. This research not only significantly improves the accuracy of palm oil price prediction but also offers an applicable approach for other economic forecasting issues where time series data is crucial, providing substantial value to the industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.209-212
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• 2008

During several years, lots of industrial and individual products have been developed based on the text or graphic LCD module which has been gave the short developing period to the developer. With the advent of home networks and intelligent robots, the need for interaction between human and instruments has been increased. Recently, goods with a TFT-LCD come out. But in spite of a simple required performance, the complicated microprocessor, such as ARM processor, is required to interface the TFT-LCD and touch screen. Our research and development is to develope an embedded TFT-LCD module in order to use or apply to the goods through the simple interface by the general users as well as the developers. We adopt the RTOS(real time operating system) in order to operate TFT-LCD independently and various communication protocols are provided in order to offer the simple interface to users and developers.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.193-206
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• 2008

Medical diagnosis can be considered a classification task which classifies disease types from patient's condition data represented by a set of pre-defined attributes. This study proposes a hybrid genetic algorithm based classification method to develop classifiers for multidimensional pattern classification problems related with medical decision making. The classification problem can be solved by identifying separation boundaries which distinguish the various classes in the data pattern. The proposed method fits a finite number of regional agents to the data pattern by combining genetic algorithms and local adaptive operations. The local adaptive operations of an agent include expansion, avoidance and relocation, one of which is performed according to the agent's fitness value. The classifier system has been tested with well-known medical data sets from the UCI machine learning database, showing superior performance to other methods such as the nearest neighbor, decision tree, and neural networks.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.2
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• pp.167-180
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• 2006

The Ruhr region used to be a large industrial area, working as an engine of economic growth of the Germany. However, the region has been suffering from economic and social problems originating from de-industrialization. Since the 1970s, various levels of governments have attempted to solve the problems with policies of regional innovation, e.g., establishing technology parks, competence centers, and business incubators to promote start-ups, technology transfers, and networks between governments, businesses, universities, public research institutes, and the public. In this context, this paper attempts to analyse governance of regional innovation policies of the Ruhr area, based on an analytical framework developed by a groups of researchers, i.e.. Bae et al (2006), The paper concludes that the roles of governments are important in creating and implementing regional innovation policies of the Ruhr area, the policies heavily rely on the R&D capacity of local universities and public research institutes; and various levels of governments have different roles to play.