• Journal of International Area Studies (JIAS)
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• v.15 no.1
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• pp.83-108
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• 2011

South America has vast energy resources with the renewable and non-renewable sources. However, many countries in the region are unable to guarantee adequate energy security both of energy supply and demand. Currently the possibility of energy security is high through regional energy integration based on the potential economic benefits. The difference of regulation system with the individual countries in the region impose strong barriers to integration process. Security of energy supply and its demand as well is fundamental issues in this region and regional energy cooperation is essential for getting rid of the insecurity of energy supplies. Despite of this problem, currently Latin American countries made a great effort to make multilateral energy security regime through projecting great energy infrastructure network(e.g. IIRSA) or mechanism especially in South America, which can give countries access to the region's reserve supplies by providing regulations and pricing mechanism with a shared energy market in this region. Brazil's active leading in the formulation of such movement toward energy security integration and participation of energy infrastructure network is good initiative to enforce this great energy security change. Politically and economically, Brazil's geographical position and the level of market size and oil and natural gas resources, in addition the leadership in renewable energy sources make it a sound candidate to take over the coordination of the secure integration of region's energy market. However, on the conditions of existing many obstacles such as, control of the output of the region's power plant, energy flows, the environmental matter within local community must be overcome to make more advance process and steps. Finally, to secure more institutional approach, this region must settle regional disputes resolution regime urgently.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1249-1249
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• 2022

The facade, an exterior material of a building, is one of the crucial factors that determine its morphological identity and its functional levels, such as energy performance, earthquake and fire resistance. However, regardless of the type of exterior materials, huge property and human casualties are continuing due to frequent exterior materials dropout accidents. The quality of the building envelope depends on the detailed design and is closely related to the back frames that support the exterior material. Detailed design means the creation of a shop drawing, which is the stage of developing the basic design to a level where construction is possible by specifying the exact necessary details. However, due to chronic problems in the construction industry, such as reducing working hours and the lack of design personnel, detailed design is not being appropriately implemented. Considering these characteristics, it is necessary to develop the detailed design process of exterior materials and works based on the domain-expert knowledge of the construction industry using artificial intelligence (AI). Therefore, this study aims to establish a detailed design automation algorithm for AI-based condition-responsive exterior wall panels and their back frames. The scope of the study is limited to "detailed design" performed based on the working drawings during the exterior work process and "stone panels" among exterior materials. First, working-level data on stone works is collected to analyze the existing detailed design process. After that, design parameters are derived by analyzing factors that affect the design of the building's exterior wall and back frames, such as structure, floor height, wind load, lift limit, and transportation elements. The relational expression between the derived parameters is derived, and it is algorithmized to implement a rule-based AI design. These algorithms can be applied to detailed designs based on 3D BIM to automatically calculate quantity and unit price. The next goal is to derive the iterative elements that occur in the process and implement a robotic process automation (RPA)-based system to link the entire "Detailed design-Quality calculation-Order process." This study is significant because it expands the design automation research, which has been rather limited to basic and implemented design, to the detailed design area at the beginning of the construction execution and increases the productivity by using AI. In addition, it can help fundamentally improve the working environment of the construction industry through the development of direct and applicable technologies to practice.

• Journal of the Daesoon Academy of Sciences
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• v.26
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• pp.215-253
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• 2016

In 2007, according to the records, I made an on-the-spot survey of the place where Doju Cho Jeongsan and his family might have lived in exile in Manchuria and released a paper in which I decided that the site could be the Shuidongchun (village) of Luotongshanzhen in Liuhexian, Jilin Province. Thereafter, sponsored by the Doju Cho Jeongsan's Memorial Project from 2008 to 2013, many times, I carried out the field investigations and researches on Liuhexian, including the visits of the institutions which have the historical documents, in order to find the data related to the participation of him and his family in the anti-Japanese movement. I was, hence, able to reconfirm that the village had been the place of their exile, based on my collected data and the oral reports which the local historians and ethnic Korean elders had provided. In this study, using the historical documents and maps and the oral materials, I made an attempt to prove the historical truth thoroughly once again. First, the existing sources of Doju Cho and his family's settling in Manchuria from March 1909 to 1917, were carefully analyzed which were described in The Jin-gyeong. In doing so, the misspelling of the names and the spatio-temporal errors of the people's activities were corrected. Next, I researched on another town, Shuitungou of Liuhexian in Fengtian Province (in West Gando of Manchuria), which it is known that Doju and his family stayed in, and the Laogushan (mountain), which it is believed that Doju cultivated himself in. Finally, through the attempt, I reached the conclusion that Doju and his family had settled at Shuidongchun (once called Shuidonggou or Shuitongchun) of Luotongshanzhen (once called Datonggou) in Liuhexian, Jilin Province. In the Liuhexian-related documents and maps published in the eras of Republican China and Manchuria, the place name called Shuitungou was not found. However, I discovered a map in the era of Republican China on which Shuitongchun was recorded as Shuidonggou. In addition, considering the administration system of Republic China, tun(屯) and gou(溝) could not be used together in the place names. Accordingly, Shuitungou was more likely misspelled as Korean people in those days mispronounced Shuidonggou. Furthermore, people in China has habitually called the Dagushan(大孤山), located in the north of Gushanzizhen of Liuhexian, as the Laogushan(老孤山). This means that the Korean people who lived in the area then perhaps recorded the mountain as the Nogosan(老姑山), the mountain of the old goddess, according to Korean enunciation, because they had the custom of worshipping the mountain goddess. I tried my best to find the historical documents regarding Doju and his family's anti-Japanese activities to prove the location of exile in which they settled in northeastern China (Manchuria). However, I was not able to reach the initial goal completely due to the shortage of objective evidences, only to leave tasks to be solved. I hope that this study can give a little help to researchers who are interested in this matter.

• Journal of the Daesoon Academy of Sciences
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• v.25_1
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• pp.1-22
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• 2015

This paper took Jeonkyeong (典經) of Daesunjinrihoe(大巡眞理會) as the basic text and studied how Kangjeungsan(姜甑山), the Sangje (上帝), had embraced Chinese myth in process of formation of his religious thought focusing on Yan Emperor(炎帝) Shennong(神農) myth and Shanrangang(禪讓) myth (namely Danchu myth). First when we examine the myth surrounding Kangjeungsan's birth, it deeply emraced a feeling-birth myth(感生神話), we could realize that this is a universe motif through myth of hero birth in East Asia. Further judging from the analysis of geographic space of Kangjeungsan's activity, it included a variety of mythical and Daoist related place names. I think this is because of the fact that birth place of Kangjeungsan and the surrounding area is the locality of Xian(仙) tradition where major characters of Danhak sect(丹學派) have been turned out, and that Korean way of Xian suppressed by the regulatory system has been widely rooted in the public. Especially it's interesting that Jeungsan, the pen name of Kangjeungsan, ambiguously connotes Siru mountain(甑山), a place of his training, and the spiritual realm of the 『Zhouyicantongqi(周易參同契)』. Then I examined the God of fire Shennong myth which has been actively admitted and embraced by Kangjeungsan. Kangjeungsan put the root of his pedigree on Shennong and there is a close affinity between Shennong and Dongyi(東夷) such as Buyeo(夫餘), Goguryeo(高句麗), etc. These Dongyi spirits are losers against the Chinese major myth and beings of ressentiment. At the same time the predecessor of Jiutianyingyuanleishengpuhuatianzun(九天應元雷聲普化天尊) who shares mythical characteristics with the God of fire Shennong was a formerly Taishi(太師) Wenzhong(聞仲) of Yin(殷) dynasty. He was defeated and died by Zhou(周) dynasty, and was deified. The fact that Kangjeungsan regarded himself as a descendent of Shennong and possessed divinity of Jiutianyingyuanleishengpuhuatianzun connotes that he represents all beings of ressentiment such as family of Yin and Dongyi. However, Kangjeungsan set a religious milestone by turning revenge for such ressentiment at tribe level into religious sublimation. At the end Shanrang myth which has been critically embraced by Kangjeungsan was reviewed. According to the existing Shanrang myth, Danchu(丹朱) was unworthy and not succeeded in the succession to the throne. Then good natured Emperor Shun(舜) succeeded to the throne from Emperor Yao(堯). However, the reality of Shanrang myth was a violent change of sovereign power and Danchu was a victim in the process of such violent change. Kangjeungsan shrewdly grasped the reality of ancient China and cast light on presence of Danchu. And he emphasized the need of religious sublimation of revenge, Haewon(解冤). His such awareness of culture had a close relation with revisionist standpoint of independent Danhak sect expressing a skeptical glance at systematic, commensurate and authentic historical view of Chinese civilization. And further Kangjeungsan cosmologically and causationally reinterpreted revenge of Danchu. He established a universal salvation theology which has a corresponsive connotation in regard to embracement of Shennong myth. In conclusion, embracement of Chinese myth by Kangjeungsan was a creative work of reinterpretation resulting in an inherent religious connotation through a process of appropriation, that is independent and selective introjection.

• Journal of Environmental Health Sciences
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• v.49 no.1
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• pp.22-29
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• 2023

Background: The existing research results on the combined toxicity of these pollutants using mammals, such as rodents, are insufficient, especially in relation to changes in the immune system. Objectives: This study aims at evaluating the cellular immune response to PE-MPs solely or when combined with Pb, which possess excellent adsorption capacity with PE-MPs and is commonly co-exposed in our daily lives. Methods: The study investigated the cellular immune function of 9-week ICR mice with 28 days exposure to PE-MPs (2 mg/mouse/day) and Pb (0.1 mM in distilled water) individually and in combination. PE-MPs were administered via gastric intubation while the lead intake was conducted via the oral drinking water route. Cellular immunity was evaluated by analyzing the production for T_H1 cytokines namely, TNF-α and IFN-𝛾 and T_H2 cytokines, IL-4 and IL-6 in culture supernatants from polyclonally activated splenic mononuclear cells ex vivo. Results: Both the PE-MPs only and the PE-MPs+Pb exposure group revealed an increased T_H1 response with elevated TNF-α and IFN-𝛾 levels and downregulated T_H2 response with low IL-4, and IL-6 production levels compared to the control group. Furthermore, an increased IFN-𝛾/IL-4 ratio was found in the PE-MPs only and PE-MPs+Pb exposure groups, which indicated the skewedness to T_H1 response. Meanwhile, reduced blood hemoglobin levels and increased levels of IL-4, the dominant T_H2 cytokine in the Pb-only exposure group, were observed. Conclusions: Our current findings on the predominance of T_H1 immune response in the PE-MPs and PE-MPs+Pb groups suggest that PE-MPs could be responsible for the predominant induction of the cellular immune changes. This finding could be used as an important landmark in research related to T_H1 predominance, such as autoimmune diseases. It suggests that additional research on immune modulation using longer exposure durations or the same exposure route is required to elucidate stronger findings.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.1
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• pp.9-18
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• 2023

Predicting the compressive strength of high-performance concrete (HPC) is challenging because of the use of additional cementitious materials; thus, the development of improved predictive models is essential. The purpose of this study was to develop an HPC compressive-strength prediction model using an ensemble machine-learning method of combined bagging and stacking techniques. The result is a new ensemble technique that integrates the existing ensemble methods of bagging and stacking to solve the problems of a single machine-learning model and improve the prediction performance of the model. The nonlinear regression, support vector machine, artificial neural network, and Gaussian process regression approaches were used as single machine-learning methods and bagging and stacking techniques as ensemble machine-learning methods. As a result, the model of the proposed method showed improved accuracy results compared with single machine-learning models, an individual bagging technique model, and a stacking technique model. This was confirmed through a comparison of four representative performance indicators, verifying the effectiveness of the method.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.200-208
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• 2022

In this study, an automatic information collection system and geographic information construction algorithm for the transportation disadvantaged using electric mobility aids are implemented using an object recognition model. Recognizes objects that the disabled person encounters while moving, and acquires coordinate information. It provides an improved route selection map compared to the existing geographic information for the disabled. Data collection consists of a total of four layers including the HW layer. It collects image information and location information, transmits them to the server, recognizes, and extracts data necessary for geographic information generation through the process of classification. A driving experiment is conducted in an actual barrier-free zone, and during this process, it is confirmed how efficiently the algorithm for collecting actual data and generating geographic information is generated.The geographic information processing performance was confirmed to be 70.92 EA/s in the first round, 70.69 EA/s in the second round, and 70.98 EA/s in the third round, with an average of 70.86 EA/s in three experiments, and it took about 4 seconds to be reflected in the actual geographic information. From the experimental results, it was confirmed that the walking weak using electric mobility aids can drive safely using new geographic information provided faster than now.

• Journal of The Korean Society of Agricultural Engineers
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• v.65 no.2
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• pp.21-33
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• 2023

While the main purpose of irrigation reservoirs is to supply agricultural water, the needs of environmental flow and flood control has been expanded. The agricultural reservoirs have been operated in the form of carry-over system until now. Therefore, the supply of agricultural water is difficult when the storage rate is not sufficiently secured after large volume of irrigation. In addition, there are regulation of the upper storage rate for some large reservoirs during the flood season, but lower storage rate is not regulated. Accordingly, this study aims to evaluate the capacity of agricultural water and environmental flow supply by setting the management lower storage rate of reservoir. The changes in the supply of agricultural and environmental flow was simulated according to the three different regulating lower storage rate scenarios. As a result, it was judged effective in terms of water supply managing the lower storage rate up to 30% when the initial storage rate of farming period is above annual average for the Naju reservoir considering existing water management practice. If the lower storage rate would have been controlled above 30%, the supply of agricultural water might be increased and non-effective discharge amount would be decreased compared to other scenarios during dry period of 2016-2018.

• Journal of Advanced Navigation Technology
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• v.27 no.2
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• pp.190-196
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• 2023

Recently, following the development of LIDAR technology which can detect distance from the object, the interest for LIDAR based 3D object detection network is getting higher. Previous networks generate inaccurate localization results due to spatial information loss during voxelization and downsampling. In this study, we propose an attention-based convergence method and a camera-LIDAR convergence system to acquire high-level features and high positional accuracy. First, by introducing the attention method into the Voxel-RCNN structure, which is a grid-based 3D object detection network, the multi-scale sparse 3D convolution feature is effectively fused to improve the performance of 3D object detection. Additionally, we propose the late-fusion mechanism for fusing outcomes in 3D object detection network and 2D object detection network to delete false positive. Comparative experiments with existing algorithms are performed using the KITTI data set, which is widely used in the field of autonomous driving. The proposed method showed performance improvement in both 2D object detection on BEV and 3D object detection. In particular, the precision was improved by about 0.54% for the car moderate class compared to Voxel-RCNN.

• Journal of the Korean Geotechnical Society
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• v.23 no.2
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• pp.71-83
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• 2007

Liquefaction resistance depends strongly upon the degree of saturation, which is expressed in terms of the pore pressure coefficient, B. The B-value has been widely used to quantify the state of saturation of laboratory samples. However, it is practically impossible to determine in situ state of saturation by using the B-value. So, P-wave velocity can be alternatively used as a convenient index for evaluating the in situ state of saturation. In this paper, the Stokoe type torsional shear (TS) testing system was modified to saturate the specimen, with which it is also possible to measure P ($V_p$), S-wave velocity ($V_s$) and the excess pore water pressure buildup In order to examine the effect of B-value for nearly saturated sands. A series of the tests were carried out at 3 relative densities (40%, 50% and 75%) and various B-values using Toyoura sand. Based on the test results, the variations of $V_p\;and\;V_s$ with B-value were analyzed and compared with a existing theoretically derived formula. The normalized pore water pressure, $du/{\sigma}{_0}'$ and cyclic threshold shear strain, ${\gamma}^c_{th}$ with B-value were also analyzed. Additionally the test results related to pore water pressure were analyzed by $V_p$ to apply to the field seismic analysis.