Recently, there have been many construction projects on soft ground with growth of industry and various construction problems concerning soft soil behavior also have been reported. Especially, foundation piles of abutments and (or) buildings which were constructed on the soft ground have been suffering from a lot of stability problems of inordinary displacement due to lateral flow of soft ground. Although many researches for this phenomena have been carried out, it is still difficult to assess the mechanism of lateral flow on soft ground quantitatively. And reliable design method for judgement of lateral flow occurrence is not established yet. In this study, PNN (probabilistic neural network) and CNN (committee neural network) theories were applied for judgment of lateral flow occurrence based on eat data compiled from Korea and Japan. Predictions of PNN and CNN models for new data which were not used during model development are compared with those predicted by conventional empirical methods. It was found that the developed PNN and CNN models can predict more precise and reliable judgment of lateral flow occurrence than conventional empirical methods.
Park, Seojeong;Lee, Soobin;Kim, Woo Jung;Song, Min
Journal of the Korean Society for information Management
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v.39
no.1
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pp.91-117
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2022
The number of depressed patients in Korea and around the world is rapidly increasing every year. However, most of the mentally ill patients are not aware that they are suffering from the disease, so adequate treatment is not being performed. If depressive symptoms are neglected, it can lead to suicide, anxiety, and other psychological problems. Therefore, early detection and treatment of depression are very important in improving mental health. To improve this problem, this study presented a deep learning-based depression tendency model using Korean social media text. After collecting data from Naver KonwledgeiN, Naver Blog, Hidoc, and Twitter, DSM-5 major depressive disorder diagnosis criteria were used to classify and annotate classes according to the number of depressive symptoms. Afterwards, TF-IDF analysis and simultaneous word analysis were performed to examine the characteristics of each class of the corpus constructed. In addition, word embedding, dictionary-based sentiment analysis, and LDA topic modeling were performed to generate a depression tendency classification model using various text features. Through this, the embedded text, sentiment score, and topic number for each document were calculated and used as text features. As a result, it was confirmed that the highest accuracy rate of 83.28% was achieved when the depression tendency was classified based on the KorBERT algorithm by combining both the emotional score and the topic of the document with the embedded text. This study establishes a classification model for Korean depression trends with improved performance using various text features, and detects potential depressive patients early among Korean online community users, enabling rapid treatment and prevention, thereby enabling the mental health of Korean society. It is significant in that it can help in promotion.
Chung, Youngkun;Lee, Mi-Young;Yang, Shi Chun;Kang, Seoktae
Journal of Appropriate Technology
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v.5
no.1
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pp.18-24
/
2019
Citarum river in West Java, Indonesia plays strategic roles for Jakarta metropolitan areas. Besides it provides major source of water supply such as domestics and drinking water including Jakarta, it also provides water for hundreds of industries through its cascade reservoirs. However, recently, Citarum river basin has been seriously suffering from water and groundwater pollution as well as the lowering-down of groundwater level due to the extreme use of water resources in dry season by domestic and industrial activities. This project objectives are design and installation of industrial wastewater treatment/recycle facilities to overcome the problem of water pollution and the lowering-down of groundwater level in Bandung. For these, cyclone type dissolved air flotation (DAF), CYFLOAT, was successfully installed as the appropriate technology for the target textile industry with 100 ton/day of capacity. The CYFLOAT system can remove the 96.8% of particulates, which are known as a critical factor to recycle the wastewater, within 40 min of residence time. Furthermore, The CYFLOAT system can reduce the operational cost and land use. The project was carried out in strong partnership with local institute including UNPAR, IBT, and PUSKIM for the sustainability of the technology to textile industry complex in Indonesia.
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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v.7
no.10
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pp.91-101
/
2017
Nation-wide support is being strengthened to vitalize pre-entrepreneur and startup initiatives. However, it is found that they have been suffering from the lack of necessary information in preparation for the start-up operation. In order to support more proactive and robust start-up process in aspect of contents or service, it is necessary to carefully analyze their information needs and information seeking behaviors. Information seeking behavior analysis is a method for improving information services in accordance with the information needs of the information service users in libraries and information service institutes. This study analyzed information seeking behaviors of pre-entrepreneur and startup. Focus-group interview as the representative method of exploring information seeking behaviors was conducted. Content analysis was introduced to search the business-establishing process, information-seeking status, and utilization level of startup-related information resources and their perception. It is expected that contents and services for pre-entrepreneur and startup would be improved by reflecting their information seeking behaviors based on the results of this study.
Kim, Jeong-Hwa;Lee, Hyeong-min;Shin, Hee-yeon;Kim, Hari;Yang, Seung-Bo;Cho, Seung-Yeon;Park, Seong-Uk;Ko, Chang-Nam;Park, Jung-Mi
The Journal of the Society of Stroke on Korean Medicine
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v.19
no.1
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pp.21-30
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2018
■ Objectives This case study is to report the two cases of Gami-Guibitang on cognitive impairment after stroke with improved recall memory. ■ Methods We used Korean medicine treatments including Gami-guibitang, acupuncture and moxibustion to treat patients who had cognitive impairment after stroke for at least two months. We observed the changes of symptoms by measuring Korean version of Mini-mental status examination (MMSE-K), Clinical Dementia Rating (CDR) and Global Detration Scale (GDS). ■ Results After treatment, the patient's symptoms were improved including MMSE-K, CDR and GDS. Improvement appeared to be prominent in recall memory. The general condition were also improved after treatment. ■ Conclusion This clinical case study suggests that Korean medicine including Gami-guibitang could be used to treat patients who had cognitive impairment after stroke especially suffering from degraded recall memory.
Daechung Reservoir has been suffering from severe cyanobacterial blooming periodically due to the water pollutants from the watershed, especially nutrients from nonpoint sources. As a countermeasure, an artificial wetland was constructed to mitigate the pollutant load from the watershed by utilizing the vegetation. We investigated the water quality of the influent and outflow of the wetland during years 2014~2020 to evaluate the performance of pollutant removal through the wetland. Major pollutants (e.g. BOD, COD, SS, T-N, and T-P) were largely reduced during the retention in the wetland while nutrients removal was more efficient than that of organic matters. Pollutant removal efficiency for different inflow concentrations was also investigated to estimate the wetland's capability as a way of managing nonpoint sources. The efficiency of water treatment was significantly higher when inflow concentrations were above 75th percentile for all pollutant, implying the wetland can be applied to the pre-treatment of high pollution load including initial rainfall runoff. Furthermore, the yearly variation of removal efficiency for seven years was analyzed to better understand long-term trends in water treatment of the wetland. The annual treatment efficiency of T-P was very high in the early stages of vegetation growth with high concentration of inflow water. However, it was confirmed that the concentration of inflow water decreased, vegetation stabilized, and the treatment efficiency gradually decreased as the soil was saturated. The findings of the study suggest that artificial wetlands can be an effective method for controlling harmful algal blooms by alleviating pollutant load from the tributaries of Daechung Reservoir.
KSCE Journal of Civil and Environmental Engineering Research
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v.43
no.1
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pp.119-129
/
2023
In many cases, trauma is overcome in a short periodtime, but for some, trauma results in long-term mental health issues such as in the form of post-traumatic stress disorder (PTSD). Natural disasters cause different types and extent of damage, meaning the degree of stress experienced also varies. In the case of damage to a house, the impact can be considerable. Therefore, this study examined the trauma experienced by households whose homes were damaged by natural disasters and to confirm the characteristics of psychological trauma. It was confirmed that traumas was greater when a house was damaged, compared with damage to other types of items. In addition, even in the case of trauma occurring, factors that affect the pattern of change to someone's mental state vary depending on the state's classification. And In addition, health services is significantly analyzed in all variables, and it was considered that the provision of basic services related to safety after a disaster is paramount. However, while psychological counseling has a positive effect on short-term traumas that manifests as anxiety and depression, it has an adverse effect on PTSD because of the depth and complexity of the suffering in PTSD, meaning the type of psychological support needs changing.
Kim, Young Sang;Joo, No Ah;Lee, Jeong Jae;Lee, Sook Ju
KSCE Journal of Civil and Environmental Engineering Research
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v.28
no.1C
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pp.1-8
/
2008
Recently, there have been many construction projects on soft ground with growth of industry and economy. Therefore foundation piles of abutments and(or) buildings had been suffering from a lot of stability problems of inordinary displacement due to lateral flow of soft ground. Although many researches about lateral flow have been carried out, it is still difficult to assess the mechanism of lateral flow in soft ground quantitatively. And reasonable design method for judgement of lateral flow occurrence in soft ground is not established yet. In this study, six PNN (Probabilistic Neural Network) models were developed according to input variables and database compiled from Korea and Japan for the judgment of lateral flow occurrence. PNN models were compared with present empirical methods. It was found that the developed PNN models can give more precise and reliable judgment of lateral flow occurrence than empirical methods.
Gihong Min;Junghyun Shin;Eun-Kyung Jo;Seula Lee;Jihun Shin;Dongjun Kim;Jaemin Woo;Yoon-Hyeong Choi;Wonho Yang
Journal of Environmental Health Sciences
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v.49
no.3
/
pp.169-177
/
2023
Background: The Korea Centers for Disease Control and Prevention (KCDC) has identified cases of people suspected of suffering lung disease potentially caused by chloromethylisothiazolinone/methylisothiazolinone (CMIT/MIT) used in humidifier disinfectants (HDs). The Korean Ministry of Environment (MoE) epidemiological investigation and toxicity test study found that HDs caused health damage such as asthma and lung disease. Objectives: The main purposes of this study were to classify the HD exposure rating and to analyze the exposure characteristics that affect exposure to CMIT/MIT HDs. Methods: The exposure characteristics and socio-demographic characteristics of victim participants using CMIT/MIT HDs were investigated through questionnaires. An inhalation no observed adverse effect level (NOAEL) for CMIT/MIT was produced based on inhalation toxicity values. Exposure ratings (class 1~class 2) were cross-tabulated with clinical ratings (acceptable~unacceptable). A correlation analysis was conducted with the main exposure characteristics that affect the exposure concentration of CMIT/MIT HDs. Results: The concentration in indoor air of CMIT/MIT was 8.75±25.40 ㎍/m3, and the exposure concentration was 2.30±6.29 ㎍/m3. The CMIT/MIT exposure rating of 67 participants with high exposures of not more than MOE 100 were evaluated as 14.5%, while the damage participants who matched the clinical rating made up 4.5%. The exposure concentration of CMIT/MIT showed a positive correlation with the daily usage amount and usage frequency, and a negative correlation with volume of the indoor environment. Conclusions: A new exposure rating could be suggested and calculated based on the MOE, and the factors affecting the exposure concentration could be identified.
KSCE Journal of Civil and Environmental Engineering Research
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v.26
no.4D
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pp.635-647
/
2006
Korean construction companies first advanced to the international markets in 1960's and so far have brought more than 4,900 projects which account for 193 billion dollars approximately. With the large increase of national employment and income being followed by the achievement, Korea's construction industry has made an enormous contribution to the improvement of domestic economy for the last 40 years. However, recently the increased risk in international markets as well as the sharpening competition with foreign companies promising in terms of advanced technologies and low labor cost have been driving Korean construction away from the market shares. According to ENR (Engineering News Record, 1994~2003), it is revealed that 15.1% of top 225 global contractors are suffering from loss in international construction markets. This phenomenon is largely due to the highly uncertain characteristics of international projects, which are inherently exposed to various and complicated risky situations. Furthermore, especially for Korean construction companies, it is often the case that the failure in an international construction project cannot be offset by even a sufficient number of successful domestic achievements. Therefore, not only the selective screening among the nominated projects which have strong possibility of collapse but the systematic strategies for controlling potential risk factors are also considered indispensable in international construction portfolio management. The purpose of this study is to first analyze the causal relationships of the profit-influencing variables and the project success, and develop the profitability forecasting model in international construction projects.
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