• 한국환경보건학회지
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• 제44권5호
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• pp.421-432
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• 2018

Objectives: In this study, we started to develop an indoor garden integrated IoT solution based on IAQ (indoor air quality) and interconnection with an environmental database for smart management of indoor gardens. The purpose of this study was to develop and apply an integrated solution for customized air purification from an indoor garden through big data analysis using IoT technology. Methods: An IoT-based IAQ monitoring system was established in three households within a new apartment building. Based on real-time and long-term data collected, $PM_{2.5}$, $CO_2$, temperature, and humidity changes were compared to those of indoor garden applications and the analyzed results were indexed. Results As a result of the installation, all three households had no results exceeding the standard for indoor air pollution on average $PM_{2.5}$ and $CO_2$ indices. In the case of indoor garden installation, the IAQ index increased to the "Good" section after the installation, and readings in the "Bad" section shown before the installation disappeared. The comfort index also did not dip into the "Uncomfortable" section, where it had been preinstallation, and significantly lowered the average score from "Uncomfortable for sensitive groups" to "Good". Overall, the IAQ composite index for the generation of installations decreased the "Good" interval, but "Bad" did not appear. Conclusions In this study on developing an integrated solution for IAQ based on IoT indoor gardens, big data was analyzed to determine IAQ and comfort indexes and an IAQ composite index. Through this process, it became understood that it is necessary to monitor IAQ based on IoT.

• 한국수산과학회지
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• 제46권2호
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• pp.111-118
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• 2013

The Norwegian coastal area is the most efficient region for fishery production in the world's oceans, the Norway is the world's top 10 fisheries countries through efficient fishing and fishing aquaculture technology and its scientific management of fisheries bio-resources, with Norwegian salmon having attained the world's highest level. In the late 1980s, fisheries resources were depleted due to overfishing and fish diseases, resulting in a crisis in the fishing industry that lasted until the early 1990s. Since the national fishery emergency, people involved in the fishing industry, including fishermen, research scientists, and government officers, have tried to overcome the challenges facing the industry and identify an appropriate management model for fisheries bio-resources in the Norwegian coastal area. First, research vessels were used to monitor water and sediment conditions and fishery species, with the long-term aim of predicting fishery resources in real time and collecting information on species diversity, abundance, and distribution. Second, a "Healthy Fish Project" was promoted to counter natural disasters and fish disease problems with the development of vaccines against viruses and bacteria, eventually allowing for a decrease in the use of antibiotics and the production of notably healthier fish in the 2000s. Third, a systematic management model was developed to help with preparations for decreases in the total number of fishermen and increases in the proportion of elderly fishermen in the fishery industry using the development of automatic fishing aquaculture systems and short-chain systems. We could learn from the Norwegian model of fisheries bio-resources, management and could adopt it for the preparation of fishery bio-resources management policy for South Korean coastal areas in the near future.

• Smart Structures and Systems
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• 제17권3호
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• pp.471-489
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• 2016

Modal identification based on ambient vibration data has attracted extensive attention in the past few decades. Since the excitation for ambient vibration tests is mainly from the environmental effects such as wind and traffic loading and no artificial excitation is applied, the signal to noise (s/n) ratio of the data acquired plays an important role in mode identifiability. Under ambient vibration conditions, certain modes may not be identifiable due to a low s/n ratio. This paper presents a study on the mode identifiability of an instrumented cable-stayed bridge with the use of acceleration response data measured by a long-term structural health monitoring system. A recently developed fast Bayesian FFT method is utilized to perform output-only modal identification. In addition to identifying the most probable values (MPVs) of modal parameters, the associated posterior uncertainties can be obtained by this method. Likewise, the power spectral density of modal force can be identified, and thus it is possible to obtain the modal s/n ratio. This provides an efficient way to investigate the mode identifiability. Three groups of data are utilized in this study: the first one is 10 data sets including six collected under normal wind conditions and four collected during typhoons; the second one is three data sets with wind speeds of about 7.5 m/s; and the third one is some blind data. The first two groups of data are used to perform ambient modal identification and help to estimate a critical value of the s/n ratio above which the deficient mode is identifiable, while the third group of data is used to perform verification. A couple of fundamental modes are identified, including the ones in the vertical and transverse directions respectively and coupled in both directions. The uncertainty and s/n ratio of the deficient mode are investigated and discussed. A critical value of the modal s/n ratio is suggested to evaluate the mode identifiability of the deficient mode. The work presented in this paper could provide a base for the vibration-based condition assessment in future.

• 한국임상약학회지
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• 제27권3호
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• pp.150-160
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• 2017

Background: Recently, a fixed combination of grazoprevir and elbasvir (GE) has been introduced to the arsenal of chemotherapeutics to fight against this virus. The study aimed to provide information on the efficacy and safety of GE for the treatment of HCV infection by performing a meta-analysis of literature data. Methods: PubMed and EMBASE database searches were conducted. Among the literature retrieved, pivotal Phase III clinical studies were analyzed. Statistical analysis of the data was performed by RevMan. Results: Four pivotal Phase III clinical studies compared the efficacy and safety of GE. When HCV patients were treated with GE for 12 weeks, the sustained virologic response, defined as the viral RNA level below the lower limit of quantification at 12 weeks after the cessation of therapy (SVR12), was 94.7%. The clinical advantage of GE involves its use by patients with cirrhosis and/or renal failure without dose adjustment. If the genotype (GT) of the causative virus was GT1a with NS5A polymorphism or GT4 with resistance to peginterferon/ribavirin, treatment with GE plus ribavirin for 16 weeks resulted in a better outcome compared to treatment with GE alone for 12 weeks. Adverse events reported during the four clinical studies were 71.09% in the GE arms and it was 76.61% in the non-GE arms, with the most frequent events being mild central nervous system symptoms. Conclusion: GE was generally safe and effective for the treatment of HCV infection. However, since HCV mutates very rapidly and becomes resistant to antiviral agents, long-term monitoring should be mandatory.

• 한국물환경학회지
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• 제32권4호
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• pp.367-374
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• 2016

In this study, the RDII impact on sewer designing in the upstream monitoring area (A site) was considered. Based on the long-term (1/1/2011~12/31/2011) rainfall and flow data consisting of 10-min interval sampling in the nearby design area (B site), the maximum RDII/DWF ratio was selected. The sewer network system at B site was evaluated by the Manning equation. Scenario 1 considering the hourly maximum flow with respect to the flow velocity showed that none of the sewer pipes satisfied the minimum flow velocity condition (0.6 m/s), and 40 pipes did not achieve half of the velocity condition. In scenario 2 considering I/I, 1 the pipes satisfied 0.6 m/s, and 35 pipes showed 0.3 m/s. Scenario 3 reflected the effect of RDII. Velocities in 26 pipes were less than 0.3 m/s, and 4 pipes satisfied the velocity condition. With respect to the allowance rate, 17 pipes were shown to have more than 99%, and none of the pipes satisfied less than 95% of the allowance rate in scenario 1. In scenario 2, 17 Ed: Per the Table pipes showed more than 99% and one pipe showed less than 95%. In scenario 3, 16 pipes showed more than 99% of the allowance rate, and 19 pipes showed less than 95%. Based on these results, it is predicted that deposition would occur due to the slow flow velocity; however, capacity would not be a problem.

• 한국도로학회논문집
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• 제19권2호
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• pp.103-112
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• 2017

PURPOSES : In this study, field performance evaluation of crack treatment of pavement and the feasibility of surface treatment of pavement are presented. The performance and cost of preventive maintenance methods have been previously verified, and the methods are being used in many developed countries and cities. However, the performance and cost of the system have not been verified in domestic, field applications. Therefore, in order to improve performance, the field performance is evaluated, and a reasonable cost is proposed. METHODS : Visual Inspection was conducted to evaluate the field application and performance of the preventive maintenance method. In addition, the PCI index was calculated from the results of visual inspection of the application area of the surface treatment method, and the performance life of each method was predicted. For the economic evaluation, life cycle cost analysis was performed using the life cycle cost analysis program. RESULTS :In order to evaluate and quantify the field performance of crack repair material, the residue condition of the pavement surface after crack treatment, rather than the performance of the material, is evaluated. In addition, the crack resistance and performance life of surface treatment methods are evaluated. The cost of currently available treatment methods are compared to the common pavement cut and overlay method, and it is determined that the preventive method is not economical based on life cycle cost analysis. CONCLUSIONS :Because of the characteristics of cracking, it is necessary to conduct the evaluation of currently applied methods and the analysis of the cause of damage, by visual inspection. Moreover, in order to evaluate the performance and economic suitability of the currently applied surface treatment methods, it is necessary to acquire information on application sections by monitoring their long-term conditions and performance.

• 한국지반공학회지:지반
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• 제11권4호
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• pp.125-140
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• 1995

배수형터널의 설계개념은 배수시 설비 정상적으로 가동된다는 가정하에서 터널 라이닝에 작용하는 수압의 영향을 고려하지 않는 것이 일반적이다. 그러나 이와 같은 설계개념은 지하수위가 터널 하단부 아래로 저하되는 경우에는 합당하지만, 지하수의 공급원이 충분하여 지하수위 저하가 크지 않은 정상류 상태인 하천 인접구간 등에서는 침투력이 라이닝에 작용할 수 있으므로 이 경우 수압을 고려하지 않으면 터널 안정에 문제가 발생할 수 있다. 따라서 본 연구에서는 주변 지하수위 저하가 거의 없는 서울지하철 $\bigcirc$호선중 4개 공구중 대표 단면 2개에 대해 배수형터널 내부의 과다유입수가 터널 안정성에 미치는 영향을 검토하기 위하여 침투류 해석 및 라이닝 검토를 유한요소법을 이용하여 검토하였다. 그 결과 터널의 라이닝에 대한 수압이 당초 설계에 비해 다소 크게 나타났으며 터널구조물의 장기적인 안전을 위하여는 차수공의 설치 또는 영구계측 등의 대책이 필요할 것으로 판단되었다.

• 한국토양비료학회지
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• 제37권6호
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• pp.357-364
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• 2004

우리나라 논과 밭토양의 질의 현황에 대한 평가방법을 개발하고자 2000년부터 2003년까지 실시한 농업환경변동조사사업의 결과를 이용하여 세부지표 즉 토양의 주요특성의 선정, 선정된 각 지표의 점수화 또는 등급화와 정량화 방법과 각 세부지표를 종합하여 한개의 토양의 질 지표로 만드는 방법을 검토하였다 한편, 본 시안을 이용하여 전국수준에서 우리나라 논 밭 시설원예지 토양의 질 현황에 대한 평가를 시도한 결과 논토양은 매우 높음, 밭토양은 높음, 그리고 시설원예지 토양은 보통으로 나타났다.

• 한국측량학회지
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• 제33권4호
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• pp.305-316
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• 2015

GPS 상시관측소와 위성 신호 전송 과정에서 발생되는 대류권에서의 GPS 신호 지연은 가강수량을 복원하는데 사용되고 있다. 지상 기반의 GPS를 이용한 수증기 탐측 기술은 태풍 모니터링, 기후변화 추적을 장기간 수증기 관측 분야에서 유용하다. 본 연구에서는 2014년 영동지방에 폭설이 내리는 동안 우리나라의 GPS 가강수량 변화 추세를 분석하였다. GPS 가강수량이 증가된 이후 강설이 발생되는 경향이 나타났으며, 강릉과 울진에서 최대 GPS 가 강수량이 발생한 일정 시간 이후에 최대 신적설이 기록되었다. 또한 이번 폭설 이벤트 동안 고층기상관측시스템으로부터 분석된 K-index와 total index 및 GPS 가강수량에는 밀접한 상관관계가 있는 것으로 분석되었다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2019년도 학술발표회
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• pp.160-160
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• 2019

Water is a limited source that needs to be properly managed and distributed to the ever-growing population of the world. Rapid urbanization and development have increased the overall water demand of the world drastically. However, there is loss of billions of liters of water every year due to leakages in water distribution systems. Such water loss means significant financial loss for the utilities as well. World bank estimates a loss of $14 billion annually from wasted water. To address these issues and for the development of efficient and reliable leakage management techniques, high efforts have been made by the researchers and engineers. Over the past decade, various techniques and technologies have been developed for leakage management and leak detection. These include ideas such as pressure management in water distribution networks, use of Advanced Metering Infrastructure, use of machine learning algorithms, etc. For leakage detection, techniques such as acoustic technique, and in recent yeats transient test-based techniques have become popular. Smart Water Grid uses two-way real time network monitoring by utilizing sensors and devices in the water distribution system. Hence, valuable real time data of the water distribution network can be collected. Best results and outcomes may be produced by proper utilization of the collected data in unison with advanced detection and management techniques. Long term reduction in Non Revenue Water can be achieved by detecting, localizing and repairing leakages as quickly and as efficiently as possible. However, there are still numerous challenges to be met and future research works to be conducted in this field.