• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.2
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• pp.107-120
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• 2019

In this study, the characteristics of watershed and pollution source were investigated in SoOakcheon located in the upper stream of Daecheong Lake. The Dimension Index method was applied to index various watershed and pollution source data. The influence factors of each pollutant source were derived through correlation analysis between selected index and water quality monitoring data. BOD and COD were significantly influenced by population density and land area ratio, T-N by CN and rice area ratio, and T-P by population density and land area ratio, respectively. The discharge load is often used to establish non-point source countermeasures, but there is a difference between the water load and the water load in the lake or river. Therefore, in order to manage non-point pollution efficiently, it is necessary to analyze influential factors with high correlation with water quality and to manage the relevant factors with priority.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2004.05a
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• pp.73-78
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• 2004

For the preliminary stages of ship design it is necessary to develop a basic design, which specifies the main particulars of the vessel. based on the requirements given by the owner. An efficient design enables the shipyard to make a rough estimate of the construction costs and to put forward a favourable quote during the call for tenders. The parametric determination of the main particulars of the vessel involves the application of empirical formulae. These formulae have been created after detailed tests and research by maritime research institutions and researchers had been carried out. Here, the design of a medium sized Bulk Carrier (26000t dwt) with a service speed of 17 knots for carrying rice and rock phosphate has been illustrated. Medium sized Bulk Carriers (25,000t dwt - 50,000t dwt) are in steady demand among small shipping companies. They have a size advantage, in that port size restrictions do not affect their design tremendously. Nevertheless, structurally. they are one of the most difficult to build. During design, the rules of the maritime regulatory bodies were strictly adhered to.

• Mass Spectrometry Letters
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• v.3 no.2
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• pp.43-46
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• 2012

In this study, comprehensive two dimension gas chromatography (2D GC-MS) and 15 T Fourier transform ion cyclotron resonance mass spectrometry (15T FT-ICR MS) connected to atmospheric pressure photo ionization (APPI) have been combined to obtain detailed chemical composition of a diesel oil sample. With 2D GC-MS, compounds with aliphatic alkyl, saturated cyclic ring(s), and one aromatic ring structures were mainly identified. Sensitivity toward aromatic compounds with more than two aromatic rings was low with 2D GC-MS. In contrast, aromatic compounds containing up to four benzene rings were identified by APPI FT-ICR MS. Relatively smaller abundance of cyclic ring compounds were found but no aliphatic alkyl compounds were observed by APPI FT-ICR MS. The data presented in this study clearly shows that 2D GC-MS and 15T FT-ICR MS provides different aspect of an oil sample and hence they have to be considered as complementary techniques to each other for more complete understanding of oil samples.

• Progress in Superconductivity
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• v.5 no.1
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• pp.45-49
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• 2003

We have designed and fabricated the single-layer high $T_{c}$ SQUID magnetometer consisting of a directly coupled grain boundary junction SQUID with an inductance of 100 pH and 16 nested parallel pickup coils with the outermost dimension of 8.8 mm ${\times}$ 8.8 mm. The magnetometer was formed from a YBCO thin film deposited on an STO(100) bicrystal substrate with a misorientation angle of $30^{\circ}$. The SQUID magnetometer was further improved by optimizing the multi-loop pickup coil design for use in unshielded environments. Typical characteristics of the dc SQUID magnetometer had a modulation voltage of 40 $\mu\textrm{V}$ and a white noise of $30fT/Hz^{1}$2/. The SQUID magnetometer exhibited a 1/f noise level at 10 Hz reduced by a factor of about 3 compared with that of the conventional solid type pickup coil magnetometers and a very stable flux locked loop operation in magnetically disturbed environments.s.

• Journal of KIISE:Information Networking
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• v.28 no.1
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• pp.71-81
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• 2001

최근 병렬처리 시스템에 대한 연구는 마이크로 프로세서 제작 기술과 네트워크 기술이 발달함에 따라 고성능의 PC와 워크스테이션 여러대를 고속의 네트워크로 연결하여 구축하는 클러스터링 환경에 관심이 고조되고 있다. 그런데 이러한 클러스터링 시스템의 성능은 수행되는 애플리케이션 프로그램의 병렬성이나 xdhtls 빈도 등의 특성에 따라 달라진다. 그러므로 클러스터링 시스템의 성능을 향상시키기 위해서는 애플리케이션의 이러한 특성을 고려하여 최상의 효과를 얻기 위한 조정작업이 필요하며 그 방법중의 하나가 시스템 상에서 발생하는 통신들에 대하 스케줄링을 수행하는 것이다. 본 논문에서는 Myrinet 스위치를 사용하여 선형으로 구성한 클러스터링 시스테과 2차원 메쉬 형태로 구성한 클러스터링 시스템의 두 가지 모델을 가정하고 이들 모델 상에서 특성 시간에 주어지는 통신요청들에 대하여 순위차원 라우팅을 사용하여 메시지들을 최단시간에 전송할 수 있는 최적 통신스케줄링 알고리즘을 제안한다. 시스템 상에서 같은 방향으로 동시에 링크를 공유한는 통신들의 개수의 최대값을 $L_{MAX}$로 시스템에서 하나의 메시지가 전달되는데 걸리는 시간을 T로 정의하면 알고리즘에 의해 선형 네트워크에서의 통신 요청 집합에 대한 메시지 전송 완료 시간은 최대 $L_{MAX}{\cdot}T$, 메쉬 네트워크에서의 통신요청 집합에 대한 메시지 전송 완료시간은 최대 $frac{3}{2}{\cdot}T$임을 증명하였다.

• Journal of Magnetics
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• v.17 no.4
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• pp.308-315
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• 2012

Experimental investigations of the magnetization, magnetostriction and magnetoelectric (ME) effects were performed on sandwich - type Metglas/PZT/Metglas laminate composites. The results have been analyzed by taking into account the demagnetization contribution. The study has pointed out that the magnetic flux concentration is strongly improved in piezomagnetic laminates with a narrower width leading to a significant enhancement of the ME effects. The piezomagnetic laminates with the optimal area dimension were integrated to form a 2-D geomagnetic device, which simultaneously can precisely detect the strength as well as inclination of the earth's magnetic field. In this case, a magnetic field resolution of better than $10^{-4}$ Oe and an angle precision of ${\pm}0.1^{\circ}$ were determined. This simple and low-cost geomagnetic-field device is promising for various applications.

• The korean journal of orthodontics
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• v.27 no.3 s.62
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• pp.457-471
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• 1997

The Purpose of this study was to estimate relative importance among the causative factors o( arch length discrepancy(ALD) and Possibility of prediction of the ALD in the mixed dentition. The sample consisted of the casts of the 142 young adults who had no abnormal muscle function, no skeletal abnormalities and Class I molar relationship. We classified the sample by gender and the extent of ALD, and measured mesiodistal diameters of each tooth and the dimensions of the dental arch. The computerized statistical analyses was carried out with SPSS win program. The results were as follows ; 1. Most of the variables of spacing group and some variables of dental arch dimension of crowding group were significantly different between genders. But in normal group, there were few differences. 2. In male crowding and female spacing group, mainly measurements of tooth dimension were significantly different from those of normal group. 3. In male spacing and female crowding group, measurements of dental arch dimension were significantly different from those of normal group. 4. The measurements of dimension of dental arch were highly correlated with ALD in correlation analysis and factor analysis. 5. Prediction equations for adult's ALDs by means of what can be measured in the mixed dentition(mesiodistal dimensions of incisors and first molar, intermolar width and arch length) showed R square from $63\%$ to $80\%$.

• The Journal of the Korea Contents Association
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• v.15 no.1
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• pp.123-131
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• 2015

The purpose of this study was to find out the reason why the integration policy of local government in 2010~2014 has failed in the light of multi-dimensional model including normative, structural, constituentive, and technical dimension. Central government pushed integration policy of local government focused on increasing economic efficiency based on the theory of economy of scale on 16 regions and 36 local governments. Only one region(Cheong-Ju and Cheong-Won), however, completed integration procedure in 2014. Although most regions don't have common value on integration, and cultural, political ties in normative and structural dimension, central government pushed the integration policy. Futhermore central government failed to coordinate various interests of the participants and design incentive system including demands of local residents in constituentive and technical dimension. Based on this study central government should consider these policy implications when it propel the integration policy of local government in the future.

• Asian Journal for Public Opinion Research
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• v.7 no.2
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• pp.94-112
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• 2019

Objective: The objective of this study was to compare the quality of life (QOL) of patients with end-stage renal disease (ESRD) between patients receiving hemodialysis (HD) and patients receiving continuous ambulatory peritoneal dialysis (CAPD) and to compare personal characteristic factors relating to the quality of life in patients with ESRD. Method: This study used a descriptive research design. The sample was recruited using purposive sampling that included 76 ESRD patients receiving either HD or CAPD at a dialysis clinic in Phraphutthabat Hospital, Saraburi Province, Thailand. Data was collected using the Quality of Life Questionnaire for Chronic Kidney Disease ($KDQOL-SF^{TM}$) version 1.3. Independent t-test and ANOVA procedures were used to analyze study data. Results: The results revealed that the HD patients had a moderate level of QOL. The highest scoring dimension of QOL was the encouragement of staff at the dialysis unit and patient satisfaction with the treatment (${\bar{X}}=100$, SD=.00), followed by social support (${\bar{X}}=89.29$, SD =16.88) and cognitive function (${\bar{X}}=88.57$, SD=11.82). On the other hand, the lowest scoring QOL dimension was physical problems (${\bar{X}}=50$, SD=51.89), and pain (${\bar{X}}=50$, SD=39.03), followed by work status (${\bar{X}}=53.57$, SD=45.84) and burden from kidney disease (${\bar{X}}=58.48$, SD=31.07). The CAPD patients also had a moderate QOL. The highest scoring QOL dimension was the encouragement of staff in the renal unit and patient satisfaction with the treatment (${\bar{X}}=100$, SD=.00), followed by social support (${\bar{X}}=95.61$, SD=14.20) and cognitive function (${\bar{X}}=88.83$, SD=13.52). The worst scoring QOL dimensions were work status (${\bar{X}}=44.44$, SD=42.72), general health (${\bar{X}}=53.61$, SD=39.05), and pain (${\bar{X}}=62.70$, SD=41.14). The difference overall and in each dimension of QOL in ESRD patients who were treated with HD and CAPD was not statistically significantly different. The QOL was not significantly different among patients with different personal characteristics except for income and duration of treatment; in those cases, the difference in QOL was statistically significant (p=.05). Conclusion: The overall QOL and life expectancy of patients with ESRD treated with HD and CAPD are not affected by gender, age, marital status, education, occupation, or type of health coverage. QOL was not significantly different, except for patients with different incomes and duration of renal replacement therapy, whose QOL was significantly different. The QOL of patients receiving dialysis should be studied to develop a QOL program for patients with chronic kidney disease who receive dialysis.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.291-306
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• 2020

Nowadays, Data-Network-AI (DNA)-based intelligent services and applications have become a reality to provide a new dimension of services that improve the quality of life and productivity of businesses. Artificial intelligence (AI) can enhance the value of IoT data (data collected by IoT devices). The internet of things (IoT) promotes the learning and intelligence capability of AI. To extract insights from massive volume IoT data in real-time using deep learning, processing capability needs to happen in the IoT end devices where data is generated. However, deep learning requires a significant number of computational resources that may not be available at the IoT end devices. Such problems have been addressed by transporting bulks of data from the IoT end devices to the cloud datacenters for processing. But transferring IoT big data to the cloud incurs prohibitively high transmission delay and privacy issues which are a major concern. Edge computing, where distributed computing nodes are placed close to the IoT end devices, is a viable solution to meet the high computation and low-latency requirements and to preserve the privacy of users. This paper provides a comprehensive review of the current state of leveraging deep learning within edge computing to unleash the potential of IoT big data generated from IoT end devices. We believe that the revision will have a contribution to the development of DNA-based intelligent services and applications. It describes the different distributed training and inference architectures of deep learning models across multiple nodes of the edge computing platform. It also provides the different privacy-preserving approaches of deep learning on the edge computing environment and the various application domains where deep learning on the network edge can be useful. Finally, it discusses open issues and challenges leveraging deep learning within edge computing.