• Advances in environmental research
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• v.1 no.1
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• pp.15-35
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• 2012

Mercury (Hg) is a global environmental pollutant that has been the cause of many public concerns. One particular concern about Hg in aquatic systems is its trophic transfer and biomagnification in food chains. For example, the Hg concentration increases with the increase of food chain level. Fish at the top of food chain can accumulate high concentrations of Hg (especially the toxic form, methylmercury, MeHg), which is then transferred to humans through seafood consumption. Various biological and physiochemical conditions can significantly affect the bioaccumulation of Hg-including both its inorganic (Hg(II)) and organic (MeHg) forms-in fish. There have been numerous measurements of Hg concentrations in marine and freshwater fish worldwide. Many of these studies have attempted to identify the processes leading to variations of Hg concentrations in fish species from different habitats. The development of a biokinetic model over the past decade has helped improve our understanding of the mechanisms underlying the bioaccumulation processes of Hg in aquatic animals. In this review, I will discuss how the biokinetic modeling approach can be used to reveal the interesting biodynamics of Hg in fish, such as the trophic transfer and exposure route of Hg(II) and MeHg, as well as growth enrichment (the increases in Hg concentration with fish size) and biomass dilution (the decreases in Hg concentration with increasing phytoplankton biomass). I will also discuss the relevance of studying the subcellular fates of Hg to predict the Hg bioaccessibility and detoxification in fish. Future challenges will be to understand the inter- and intra-species differences in Hg accumulation and the management/mitigation of Hg pollution in both marine and freshwater fish based on our knowledge of Hg biodynamics.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.1
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• pp.139-144
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• 2007

A broadcast authentication is important and fundamental consideration for security in wireless sensor networks. Perigg et al suggests ${\mu}-TESLA$ used a key chain. But it is unavoidable the delay of time to authenticate packets. so it is hard to meet the property that most application of sensor are performed in real-time. To cope with these problems we propose an efficient broadcast authentication scheme which has no delay of time and provides re-keying mechanism. we also describe an analysis of security and efficiency for this scheme.

• Atmosphere
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• v.34 no.1
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• pp.1-21
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• 2024

Private companies are increasingly required to take more substantial actions on climate change. This study introduces the principle and cases of climate (physical) risk estimation for 11 private companies in Korea. Climate risk is defined as the product of three major determinants: hazard, exposure, and vulnerability. Hazard is the intensity or frequency of weather phenomena that can cause disasters. Vulnerability can be reflected in the function that explains the relationship between past weather records and loss records. The final climate risk is calculated by multiplying the function by the exposure, which is defined as the area or value of the target area exposed to the climate. Future climate risk is estimated by applying future exposure to estimated future hazard using climate model scenarios or statistical trends based on weather data. The estimated climate risks are developed into three types according to the demand of private companies: i) climate risk for financial portfolio management, ii) climate risk for port logistics management, iii) climate risk for supply chain management. We hope that this study will contribute to the establishment of the climate risk management system in the Korean industrial sector as a whole.

• Journal of Microbiology and Biotechnology
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• v.16 no.2
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• pp.205-211
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• 2006

A quantitative analytical method to detect new lines of genetically modified (GM) maize, NK603 and TC1507, has been developed by using a real-time polymerase chain reaction (PCR). To detect these GM lines, two specific primer pairs and probes were designed. A plasmid as a reference molecule was constructed from an endogenous DNA sequence of maize, a universal sequence of a cauliflower mosaic virus (CaMV) 35S promoter used in most GMOs, and each DNA sequence specific to the NK603 and TC1507 lines. For the validation of this method, the test samples of 0, 0.1, 0.5, 1.0, 3.0, 5.0, and 10.0% each of the NK603 and TC1507 GM maize were quantitated. At the 3.0% level, the biases (mean vs. true value) for the NK603 and TC1507 lines were 3.3% and 15.7%, respectively, and their relative standard deviations were 7.2% and 5.5%, respectively. These results indicate that the PCR method developed in this study can be used to quantitatively detect the NK603 and TC1507 lines of GM maize.

• Journal of Information Technology Applications and Management
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• v.10 no.1
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• pp.1-17
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• 2003

As the increase of internal users, there are many enterprises and organizations that regard the internal as the great ■marketing superhighway■. But the entrance of too many e-Business enterprises and shopping sites makes them to compete each other Consequently many sites are created and disappeared in the cyberspace. Although fascination and speculation surrounds the impact of the e-Business on business models via benefit-based concept, there is little evidence underlying all this speculation. This article provides on such data set. It reports on critical Issues that e-Business enterprises found salient as they browsed through e-Business model infrastructure on the world wide web, internet-based. We gathered domestic e-Business enterprise's kinds of business model during 2000∼2002 via KMAC's (Korea Management Association Consultants) K-WPI and K-WPC. We classified e-Business models as shopping mall, auction, community. value-chain, collaboration, information brokerage, advertising, Internet service, marketing that we had identified from the existing literature on business models. This study translated these models to the e-Business model context and explored their relative salience. The results suggest that e-Business manager need to think more about how they perform on the issues known to affect decision making for designing e-Business models. We offer advice for enhancing the effectiveness of business models.

• International Journal of Advanced Culture Technology
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• v.3 no.2
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• pp.1-14
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• 2015

The purpose of this paper is to reveal two problems in the existing inventory systems in retail market, and to suggest a Two-Bin System under Automatic Ordering System considering only base-stock. Large retailers already have a sophisticated inventory system based on an automatic ordering principle. However, why does the out-of-stock (OOS) happen in large discount stores in spite of having a good inventory system? This paper suggests two systems after finding the root causes concerning the previous question. For evaluating the performance of each system, the random 200 data set in each sample group was generated from MINITAB 16 and obeyed the Poisson distribution. The existing inventory system in retail market cannot help generating OOS due to indwelling contradiction in itself. The reasons are the ordering deadline and the relationship between ordering quantity and base stock. This paper also demonstrates that these previous studies on inventory fall into the closed loop. Also the paper shows that the performance of the replenishment policy was better than traditional methods dealing with ordering quantity and base stock.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.1C
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• pp.17-23
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• 2012

RFID(Radio Frequency IDentification) is now being applied in the lots of fields as an alternative of barcode system. However, it is restricted within product manufacturing, sales, and delivery parts. In this paper, research results regarding an actual progress of an RFID-based system and its effect are described. In addition, this paper confirms that the RFID-based process of manufacture gives much better return of investment than the barcode-based one. Therefore, the results of this paper are highly expected to contribute to make many people, who might hesitate to replace the barcode and apply RFID system to the process of manufacture, a positive decision.

• Journal of Korean Society for Quality Management
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• v.12 no.1
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• pp.35-44
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• 1984

Spandex is a elastomeric fiber in which the-fiber-forming substance is a long chain polymer consisting of at least 85% segmented polyurethane. In the polyurethanes there are the additional oxygen atoms in the main chains of the molecule. The effect of these oxygen atoms is to make the molecule flexible. From a physical point of view, elasicity and recovery from stretch are the most important properties of polyurethane, so its use had now expanded into many knitting industry. In this paper, we wish to Test the effect of some finishing conditions on the quality of polyurethane.

• The Journal of Information Systems
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• v.30 no.1
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• pp.21-44
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• 2021

Purpose The opportunities and approaches to big data have grown in various ways in the digital era. Business analytics is nowadays an inevitable strategy for organizations to earn a competitive advantage in order to survive in the challenged environments. The purpose of this study is to analyze the intellectual structure of business analytics literature to have a better insight for the organizations to the field. Design/methodology/approach This research analyzed with the data extracted from the database Web of Science. Total of 427 documents and 23,760 references are inserted into the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure of the business analytics. We performed clustering analysis, burst detection and timeline analysis with the data. Findings We identified seven sub- areas of business analytics field. The top four sub-areas are "Big Data Analytics Infrastructure", "Performance Management System", "Interactive Exploration", and "Supply Chain Management". We also identified the top 5 references with the strongest citation bursts including Trkman et al.(2010) and Davenport(2006). Through timeline analysis we interpret the clusters that are expected to be the trend subjects in the future. Lastly, limitation and further research suggestion are discussed as concluding remarks.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.20-25
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• 2021

In the background of the rapid development of the IoT, smart home work is becoming more and more important to each science and technology company. Smart home provides a safe, comfortable, high-quality, high-performance smart home living space compared to general homes, and at the same time It is responding to the low-carbon, eco-friendly global trend. Growth drivers driving the smart home market are increasing the number of Internet users, increasing disposable income in developing countries, increasing the importance of remote home monitoring, and increasing the need for energy saving and low carbon. In 2013-2014, Xiaomi launched a series of smart routers and smart home hardware devices. In 2015, it announced the latest product of the Xiaomi Ecological Chain, the "Smart Home Package," and in 2016 launched the MIJIA brand to invest in various smart product companies. In 2017, Xiaomi announced a plan to build an open smart hardware MIOT platform. We investigated the management strategy of Xiaomi home smart service based on IOT. The management strategy was divided into cost lead strategy, differentiation strategy of Xiaomi home service, and AIOT strategy of Xiaomi smart home.