• Journal of Korean Society of Transportation
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• v.22 no.1 s.72
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• pp.43-62
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• 2004

Conventionally the estimation method of the origin-destination Matrix has been developed by implementing the expansion of sampled data obtained from roadside interview and household travel survey. In the survey process, the bigger the sample size is, the higher the level of limitation, due to taking time for an error test for a cost and a time. Estimating the O-D matrix from observed traffic count data has been applied as methods of over-coming this limitation, and a gradient model is known as one of the most popular techniques. However, in case of the gradient model, although it may be capable of minimizing the error between the observed and estimated traffic volumes, a prior O-D matrix structure cannot maintained exactly. That is to say, unwanted changes may be occurred. For this reason, this study adopts a conjugate gradient algorithm to take into account two factors: estimation of the O-D matrix from the conjugate gradient algorithm while reflecting the prior O-D matrix structure maintained. This development of the O-D matrix estimation model is to minimize the error between observed and estimated traffic volumes. This study validates the model using the simple network, and then applies it to a large scale network. There are several findings through the tests. First, as the consequence of consistency, it is apparent that the upper level of this model plays a key role by the internal relationship with lower level. Secondly, as the respect of estimation precision, the estimation error is lied within the tolerance interval. Furthermore, the structure of the estimated O-D matrix has not changed too much, and even still has conserved some attributes.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.5
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• pp.410-416
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• 2016

After the Sewol Ferry accident, the importance of maritime safety has been emphasized in Korea. In particular, educational and experience training are not only being conducted for maritime personnel but also in schools and at maritime-related organizations in order to broadly instill maritime safety awareness. Based on SOLAS regulations, safety education for sailors conducted every 10 days passenger boats, and fire-fighting drills and abandon-ship training should be conducted once a month on merchant ships. After the Sewol Ferry accident, the maximum number of trainees was reduced from 40 to 20 in order to improve the effectiveness of these training sessions by requiring all trainees to participate in the actual training. The current training process consists of two steps: textbook-based theoretical training and actual practice. Current training environment provides limited capability from human and facility recourses which limit the numbers of trainee participated and system operation time. By introducing the simulation training, it will improve the trainee skill and performance prior to the on-site training and allow the more effective and rapid progress on actual practice. Therefore, it will be proposed the three-step training method in order to improve the effectiveness on fire-fighting drill in Maritime Safety Education on this study. This study suggests a three step training method that would increase the efficiency of maritime safety education. An image-training step to enhance individual task awareness and equipment usage via simulation techniques after theoretical training has been added. To implement this simulation, a virtual training session will be conducted before actual training, based on knowledge obtained from theoretical training, which is expected to increase the speed with which trainees can adapt during the practical training session. In addition, due to the characteristics of the simulation, repeated training is possible for reaction drills in emergency circumstances and other various scenarios that are difficult to replicate in actual training. The efficiency of training is expected to improve because trainees will have practiced before practical training takes place, which will decrease the time needed for practical training and increase the number of training sessions that can be executed, increasing the efficiency of training overall. This study considers development methods for fire-fighting drill simulations using virtual reality techniques.

• Journal of Global Scholars of Marketing Science
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• v.2
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• pp.17-37
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• 1998

중소기업간 협력 활동은 사업의 전체 혹은 일정 부분에 대하여 분업이나 협업의 관계를 맺는 공동사업의 형태로 나타난다. 기업간 연결의 강도에 따라 기업들간에 형성되는 분업과 협업의 관계를 시장형, 중간조직형, 위계조직형으로 구분할 때, 중소기업간 공동사업은 중간조직형에 속하는 일종의 기업간 네트워크라고 볼 수 있다. 물론 네트워크형의 협력관계를 추진하는 방식도 업무제휴, 지분제휴, 합작투자, 컨소시엄 등으로 다양하다. 그러나 완전한 자본적 통합에 따른 위계적 조직과는 달리 참여기업들이 독립성을 유지하면서, 네트워크 밖의 기업에 대해 경쟁우위를 확보하기 위해 형성한다는 공통점을 가지고 있다. 기업간 협력관계를 통해 참여 기업들이 얻을 수 있는 혜택에 관한 기존연구들은 크게 두 가지로 나누어 볼 수 있다. 하나는 기업의 생산함수를 중심으로 그 이점을 파악하는 것이고 다른 하나는 관계의 종류에 따라 기업간 거래관계를 관리하는 소위 거래비용의 효율성을 중심으로 혜택을 파악하는 접근방법이다. 전자의 접근방법을 따를 때, 기업간 협력의 근본 유인은 규모의 경제(혹은 비경제), 범위의 경제, 집적의 경제, 구도의 경제 등이 협력관계에서 발생하는 혜택의 근본 원천이다. 기술과 제도의 발전, 시장과 경쟁환경의 변화에 따른 기업간 협력의 필요성은 갈수록 증대되고 있다. 소비자들의 요구는 매우 개성화 다양화되고 종합화되는 추세이다. 더불어 기술개발의 비용이 큰 폭으로 증가하고 있으며, 경쟁의 격화로 기술 및 제품의 진부화도 급속도로 이루어지고 있다. 세계화 상품고도화 서비스산업화 정보화 등으로 특징지워지는 새로운 경쟁환경 아래에서 장기적으로 기업의 경쟁력을 향상시키기 위해서는 시장중심적인 관점에서 형성된 기업간 전략적 연계를 바탕으로, 정보의 집적을 통해 다양한 생산성 향상 혹은 관계효율성 향상의 경제를 추구하는 것이 필연적 전제 조건이 되었다. 기업간 경쟁보다는 최종제품의 생산과 판매를 위해 형성된 기업네트워크간의 경쟁이 중시되는 시대인 것이다. 동서간(東西間) 중소기업(中小企業)의 협력(協力)을 새삼스럽게 논의하는 것은 다분히 정치적이라는 느낌을 준다. 경제적인 관점에서 실익이 있음에도 불구하고 동서간 중소기업의 협력이 이루어지지 못하고 있다면, 그 이유는 기업정보의 수집과 유통상의 문제이거나 문화나 기업관행에 대한 잘못된 선입관에서 비롯된 관계 관리비용 계산상의 문제일 것이다. 현실적으로 이 가능성은 매우 낮다. 산업의 발전 정도나 연관성에 있어서 동서축보다는 남북축을 따라 기업간 협력이 이루어질 수 밖에 없는 우리나라의 현재 상황이 동서간보다는 남북간 경제교류를 유도하고 있는 것이다. 동서간 중서기업 협력체제의 구축에 대한 논의가 본질적으로 정치적 관심에서 비롯되었다는 전제 하에, 구축의 방안을 논의하고자 한다. 경제적으로도 타당하면서 정치적으로 관심을 유발할 수 있는 협력체제 구축방안으로, 기업간 네트워크의 조직 주체로서 최근에 논의되고 있는 새로운 형태의 마케팅회사를 동서간에 공동으로 설립할 것을 제안한다. 영구 지속적 공동사업관계보다는 프로젝트별 공동사업을 전제로 기업들 사이의 효과적인 네트워크를 형성함으로써 일종의 가상적 기업을 결성할 필요가 있다. 이러한 기업간 네트워크 형성의 실행주체가 될 수 있는 새로운 마케팅 전문기업의 형태로는 공동회사(空洞會社)(hollow company), 종합상사(綜合商社)(General Trading Company), 거래형 마케팅회사(Marketing Exchange Company), 변환형 마케팅회사(Marketing Coalition Company) 등을 들 수 있다. 양 지역에서는 소비자환경과 기술환경의 특성 및 양 지역의 경제에 대한 파급효과를 고려하여 가장 적합한 마케팅회사의 유형은 선택하여 육성하고, 이를 중심으로 강력한 양 지역 및 다른 지역에 입지한 기업간의 네트워크를 구축하여야 한다. 마케팅회사를 설립하고 완전한 마케팅 서비스를 제공할 수 있도록 육성하기 위해서는 많은 투자가 필요하다. 마케팅회사의 핵심기능 분야인 금융부문, 정보부문, 영업조직 등은 모두 막대한 투자를 필요로하는 기능영역이다. 정보부문은 기술의 발전과 범세계적인 정보관련기관과의 제휴를 통해 독자적인 구축이 어느 정도 가능하나, 영업조직의 구축을 위해서는 기존업체와의 연대가 필수적인 것으로 판단된다. 지속적으로 효과적인 기업간 네트워크를 형성하고 유지하기 위해서는 또한 기업간 관계를 관리하는 방식과 제도 및 수단에 대한 연구가 필요하다. 양 지역 산 학 관의 공동노력을 통해서 새로운 경제 환경에 가장 적합한 기업 형태로 제시된 바 있는 마케팅 전문회사 중심의 기업간 네트워크를 성공적으로 구축한다면, 양 지역 및 국가 경제의 지속적인 동력원이 될 수 있을 것이다

• Journal of Korean Society for Geospatial Information Science
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• v.8 no.1 s.15
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• pp.51-63
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• 2000

Dynamic traffic assignment(DTA) has been a topic of substantial research during the past decade. While DTA is gradually maturing, many aspects of DTA still need improvement, especially regarding its formulation and solution algerian Recently, with its promise for In(Intelligent Transportation System) and GIS(Geographic Information System) applications, DTA have received increasing attention. This potential also implies higher requirement for DTA modeling, especially regarding its solution efficiency for real-time implementation. But DTA have many mathematical difficulties in searching process due to the complexity of spatial and temporal variables. Although many solution algorithms have been studied, conventional methods cannot iud the solution in case that objective function or constraints is not convex. In this paper, the genetic algorithm to find the solution of DTA is applied and the Merchant-Nemhauser model is used as DTA model because it has a nonconvex constraint set. To handle the nonconvex constraint set the GENOCOP III system which is a kind of the genetic algorithm is used in this study. Results for the sample network have been compared with the results of conventional method.

• Korean Journal of Microbiology
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• v.45 no.4
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• pp.411-415
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• 2009

Some microorganisms are capable of leaching Mn(II) from nonsulfidic manganese ores indirectly via nonenzymatic processes. Such reductive dissolution requires organic substrates, such as glucose, sucrose, or galactose, as a source of carbon and energy for microbial growth. This study investigated characteristics of Mn(II) leaching from manganese nodules by using heterotrophic Bacillus sp. strain MR2 provided with corn starch as a less-expensive substrate. Leaching of Mn(II) at 25.6 g Mn(II) $kg^{-1}$ nodule $day^{-1}$ was accompanied with cell growth, but part of the produced Mn(II) re-adsorbed onto residual $MnO_2$ particles after 24 h. Direct contact of cells to manganese nodule was not necessary as a separation between them with a dialysis tube produced similar amount [24.6 g Mn(II) $kg^{-1}$ nodule $day^{-1}$]. These results indicated an involvement of extracellular diffusible compound(s) during Mn(II) leaching by strain MR2. In order to optimize a leaching process we tested factors that influence the reaction, and the most efficient conditions were $25\sim35^{\circ}C$, pH 5~7, inoculum density of 1.5~2.5% (v/v), pulp density of 2~3 g/L, and particle size <75 ${\mu}m$. Although Mn(II) leaching was enhanced as particle size decrease, we suggest <212 ${\mu}m$ as a proper size range since more grinding means more energy consumption The results would help for the improvement of bioleaching of manganese nodule as a less expensive, energy-efficient, and environment-friendly technology as compared to the existing physicochemical metal recovery technologies.

• Journal of Wetlands Research
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• v.20 no.4
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• pp.363-369
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• 2018

One of the recent environmental problems is climate change due to the increase of atmospheric $CO_2$, which causes ecological changes and various environmental problems. Therefore, various studies are being carried out to reduce $CO_2$ in the world in order to solve various environmental problems caused by increase of $CO_2$. The $CO_2$ reduction using microalgae is an environmentally friendly method by using photosynthesis reaction of microalgae. However, most studies using single species. There is no study on the $CO_2$ fixing efficiency of microalgae in natural rivers. Therefore, this study was to identify the microalgae in the Sum river and to analyze the growth characteristics of microalgae in the river to obtain optimal culture conditions. And the changes of biomass and chlorophyll-a of microalgae were analyzed according to $CO_2$ concentration and injection rate. The purpose of this study was to investigate the fixing efficiency of carbon dioxide in microalgae in natural rivers. Six kinds of dominant species were observed as a result of the identification of microalgae in Sum river(Ankistrodesmus falcatus, Scenedesmus intermedius, Selenodictyum sp., Xanthidium apiculatum var. laeve, Cosmarium pseudoquinarium, Dictyosphaerium pulchellum). All of these species were green algae. Biomass and chlorophyll-a increased with the increase of $CO_2$ concentration and biomass and chlorophyll-a increased faster flow rate at the same $CO_2$ concentration. Also, the quantity of $CO_2$ fixation on the microalgae tended to be higher when the flow rate of injected gas was faster. This study can be referred as being significant in the micro-algae in river. In addition, the optimal conditions for $CO_2$ fixation of microalgae in rivers and the quantification of the quantity of $CO_2$ fixation from microalgae in rivers can be used as basic data for future policy of $CO_2$ reduction.

• Economic and Environmental Geology
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• v.54 no.6
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• pp.689-698
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• 2021

Since the mine reclamation scheme was implemented from 2007 in Korea, various remediation programs have been decontaminated the pollution associated with mining and 254 mines were managed to reclamation from 2011 to 2015. However, as the total amount of contaminated mine drainage has been increased due to the discovery of potential hazards and contaminated zone, more efficient and economical treatment technology is required. Therefore, in this study, the adsorption properties of arsenic was evaluated according to the adsorbents which were derived from water treatment sludge(Alum based adsorbent, ABA-500) and granular ferric hydroxide(GFH), already commercialized. The alum sludge and GFH adsorbents consisted of aluminum, silica materials and amorphous iron hydroxide, respectively. The point of zero charge of ABA-500 and GFH were 5.27 and 6.72, respectively. The result of the analysis of BET revealed that the specific surface area of GFH(257 m²·g^-1) was larger than ABA-500(126~136 m²·g^-1) and all the adsorbents were mesoporous materials inferred from N₂ adsorption-desorption isotherm. The adsorption capacity of adsorbents was compared with the batch experiments that were performed at different reaction times, pH, temperature and initial concentrations of arsenic. As a result of kinetic study, it was confirmed that arsenic was adsorbed rapidly in the order of GFH, ABA-500(granule) and ABA-500(3mm). The adsorption kinetics were fitted to the pseudo-second-order kinetic model for all three adsorbents. The amount of adsorbed arsenic was increased with low pH and high temperature regardless of adsorbents. When the adsorbents reacted at different initial concentrations of arsenic in an hour, ABA-500(granule) and GFH could remove the arsenic below the standard of drinking water if the concentration was below 0.2 mg·g^-1 and 1 mg·g^-1, respectively. The results suggested that the ABA-500(granule), a low-cost adsorbent, had the potential to field application at low contaminated mine drainage.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.27 no.3
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• pp.127-143
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• 2022

Recently, many attempts to run numerical ocean models in cloud computing environments have been tried actively. A cloud computing environment can be an effective means to implement numerical ocean models requiring a large-scale resource or quickly preparing modeling environment for global or large-scale grids. Many commercial and private cloud computing systems provide technologies such as virtualization, high-performance CPUs and instances, ether-net based high-performance-networking, and remote direct memory access for High Performance Computing (HPC). These new features facilitate ocean modeling experimentation on commercial cloud computing systems. Many scientists and engineers expect cloud computing to become mainstream in the near future. Analysis of the performance and features of commercial cloud services for numerical modeling is essential in order to select appropriate systems as this can help to minimize execution time and the amount of resources utilized. The effect of cache memory is large in the processing structure of the ocean numerical model, which processes input/output of data in a multidimensional array structure, and the speed of the network is important due to the communication characteristics through which a large amount of data moves. In this study, the performance of the Regional Ocean Modeling System (ROMS), the High Performance Linpack (HPL) benchmarking software package, and STREAM, the memory benchmark were evaluated and compared on commercial cloud systems to provide information for the transition of other ocean models into cloud computing. Through analysis of actual performance data and configuration settings obtained from virtualization-based commercial clouds, we evaluated the efficiency of the computer resources for the various model grid sizes in the virtualization-based cloud systems. We found that cache hierarchy and capacity are crucial in the performance of ROMS using huge memory. The memory latency time is also important in the performance. Increasing the number of cores to reduce the running time for numerical modeling is more effective with large grid sizes than with small grid sizes. Our analysis results will be helpful as a reference for constructing the best computing system in the cloud to minimize time and cost for numerical ocean modeling.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.517-528
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• 2007

Domestic or international existing researches regarding rail damage factors are focused on laying, vehicle conditions, driving speed and driving habits and overlook characteristics of track structure (elasticity, maintenance etc). Also in ballast track, as there is no special lateral spring stiffness of track also called as ballast lateral resistance in concrete track, generally, existing study shows concrete track has 2 time shorter life cycle for rail replacement than ballast track due to abrasion. As a result of domestic concrete track design and operation performance review, concrete track elasticity is lower than track elasticity of ballast track resulting higher damage on rail and tracks. Generally, concrete track has advantage in track elasticity adjustment than ballast track and in case of Europe, in concrete track design, it is recommended to have same or higher performance range of vertical elastic stiffness of ballast track but domestically or internationally review on lateral spring stiffness of track is very minimal. Therefore, through analysis of service line track on site measurement and analysis on performance of maintenance, in this research, dynamic characteristic behaviors of commonly used ballast and concrete track are studied to infer elasticity of service line track and experimentally prove effects of track lateral spring stiffness that influence curved rail damage as well as correlation between track elasticity by track system and rail damage to propose importance of appropriate elastic stiffness level for concrete and ballast track.

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.985-996
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• 2006

As the internet technologies develop, the geographic information system environment is changing to the web-based service. Since geospatial information of the existing Web-GIS services were developed independently, there is no interoperability to support diverse map formats. In spite of the same geospatial information object it can be used for various proposes that is duplicated in GIS separately. It needs intelligent strategies for optimal replica selection, which is identification of replication geospatial information objects. And for management of replication objects, OMG, GLOBE and GRID computing suggested related frameworks. But these researches are not thorough going enough in case of geospatial information object. This paper presents a model of location service, which is supported for optimal selection among replication and management of replication objects. It is consist of tree main services. The first is binding service which can save names and properties of object defined by users according to service offers and enable clients to search them on the service of offers. The second is location service which can manage location information with contact records. And obtains performance information by the Load Sharing Facility on system independently with contact address. The third is intelligent selection service which can obtain basic/performance information from the binding service/location service and provide both faster access and better performance characteristics by rules as intelligent model based on rough sets. For the validity of location service model, this research presents the processes of location service execution with Graphic User Interface.