This study is aimed to find out whether there is difference in the physiological change of a human body according to the illumination and color of interior space or not and to specify the effect of the condition of illumination and color, respectively on the attention. In order to do so, White and Green were selected for colors and 4,000k, 5,000k, and 6000k were done for color temperature, and then attention was identified. Examining the results, the more color temperature increased, the more attention improved (P < 0.05), and in the case of EEG, α wave decreased while performing the task of attention (P < 0.01), and β wave decreased more in Green than White in color condition, and it increased more in 4,000k than 5,000k and 6,000k (p < 0.05) in color temperature condition. To sum up, color condition didn't contribute to the attention much, in the case of color temperature, when it is 6,000k, it is judged that it helped to improve attention. It is considered that relaxation contributed to improving attention, as β wave and sympathetic nerve decreased in 6,000k (p < 0.05). It is judged that the relaxation of tensions which happened due to a beta wave and the reduction of sympathetic nervous system activity in 6,000k, a condition of high color temperature, contributed to the improvement of concentration. In further researches, it is intended that a test will be conducted for the subjects of different ages, and the correlation between color temperature and color stimulation and the influence of them on human body would be observed in subdivided, various test conditions through various color temperature and color stimulation.

This study aims to analyze the performance of the beneficiaries of the SMEs(Small and Medium Enterprises) support project that has been handled online on the 'BizOK System', which is the integrated support system for SMEs in Incheon, by comparing before and after receiving support. Various performance indicators can be used, but this study used the rate of increase in sales, exports and employed manpower collected by the 'BizOK System'. Moreover, to analyze the trend of business performance by corporate feature, this study grouped the businesses into 7 categories including sales, business history, number of employees and capital. The results of this study are expected to be used in drawing implications for business support policies by utilizing them as basic data for enhancing efficiency of the support project and establishing corporate policies.

Network externality can be defined as the effect that one user of a good or service has on the value of that product to other people. When a network externality is present, the value of a product or service is dependent on the number of others using it. There exist asymmetries in network externalities between the online and traditional offline marketing channels. Technological capabilities such as interactivity and real-time communications enable the creation of virtual communities. These user communities generate significant direct as well as indirect network externalities by creating added value through user ratings, reviews and feedback, which contributes to eliminate consumers’ concern for buying products without the experience of ‘touch and feel’. The offline channel offers much less scope for such community building, and consequently, almost no possibility for the creation of network externality. In this study, we analyze the effect of network externality on the competition between online and conventional offline marketing channels using game theory. To do this, we first set up a two-period game model to represent the competition between online and offline marketing channels under network externalities. Numerical analysis of the Nash equilibrium solutions of the game showed that the pricing strategies of online and offline channels heavily depend not only on the strength of network externality but on the relative efficiency of online channel. When the relative efficiency of online channel is high, the online channel can greatly benefit by the network externality. On the other hand, if the relative efficiency of online channel is low, the online channel may not benefit at all by the network externality.

PURPOSES:Emulsified asphalt is critical for road construction. The objective of applying asphalt emulsion as an adhesive is to prevent the phenomenon of debonding between the upper and lower layers. The quantity and veriety of bituminous material can be varied according to the type of pavement and site conditions. The objective of this study is to reveal the optimum application rates of the emulsified asphalt materials by types of tack-coats using Interface Shear Strength(ISS).METHODS:In the research, emulsified asphalt was paved on the surface of the divided mixture. The specimens of paving asphalt emulsion were utilized to evaluate the bond strength of tack-coat materials. In the evaluation process, NCHRP Report 712 was utilized to investigate the Interface Shear Strength, which reflects the bond capacity of asphalt emulsion. Then, the optimum residual application rates by tack-coat types were determined using regression analysis.RESULTS:As a consequence of squared R values investigated from 0.7 to 1 as part of the regression analysis, the tendency of predicted ISS values was compared with the results. The optimum residual application rates of AP-3, RS(C)-4, QRS-4, and BD-Coat were determined to be 0.78ℓ/m2, 0.51ℓ/m2, 0.53ℓ/m2, and 0.73ℓ/m2, respectively, utilizing 4th regression analysis.CONCLUSIONS:Based on the result of this study, it was not feasible to conclude whether higher residual application of tack-coat material leads to improved bond capacity. Rather, the shearing strength varies depending on the type of pavement.

The purpose of this study was to investigate the biomechanical of K-Pop dance movement. The study was conducted on 15 male and 15 female subjects in 20-30 age groups. And they choose 150 K-Pop dance choreographies in the top 10 ranking of the main charts. We analyzed the RoM, joint moment and impulse force of the highlight movements. First, During the K-Pop dance motion, the usage of knee joints are more than the hip joints and the ankle joints, and female dancers has a larger range of motion than the male dancers. Second, male dancer uses more than female dancers when they compared the load of male dancers and female dancers. In particular, flexion and extension of the hip joints are mostly used in this study. Third, the impulse force of male dancers was greater than of female dancers, but it was statistically insignificant, this is equal to the impulse on walking. In conclusion, Female dancers use more range of motion than male dancers, but male dancer choreography requires greater torque, which can strain joints. Most choreographic exercises involve movements such as hip joint, knee joint, flexion of ankle joint, extension, rotation, and jumping.

With increasing number construction of high-rise building which has about 40 to 60 floors there have been many kinds of problem which related with usage from vibration. To predict response acceleration, it is important to assess correct natural frequency. However, due to the noise of MEMS sensor, it is difficult to measure dynamic characteristic such as natural frequency when measuring ambient vibration using MEMS sensor within cell phone. Therefore, a comparative analysis on vibration measuring applications was performed after measuring ambient vibration of 2 skyscrappers which have height between 133.5~244.3m that are located in Seoul and Observation tower using I-jishin APP with noise reduction function of MEMS sensor in order to verify the effectiveness of low noise type vibration measurement APP.

Riboswitches are structured RNA motifs that can directly bind specific metabolites. The binding of metabolites further regulates downstream metabolism eliminating the need for any regulatory proteins. We searched for novel bacterial vitamin B1 binding riboswitches in the metagenome of sun-dried saline soil. Soil microbial metagenomes were studied using NGS analysis. A total of approximately 50 Gb of the sequence data was obtained by Hi-seq and 454 GS FLX sequencing, and these sequences were subjected to riboswitch search. Hi-seq generated 614 contigs showing similarity to riboswitches, while 454-based sequencing generated 383 similar contigs. We matched whole metagenome contigs to local BLAST databases constructed using 91 previously known bacterial vitamin B1 thiamine pyrophosphate (TPP)-box motifs, and 11 SAM S-box motifs. Repetitive BLAST comparisons to local BLAST databases with nucleotide sequences from NGS identified 14 novel TPP-box motifs, and 7 S-box motifs respectively from the metagenome contigs. Further, RNA secondary structure analysis with public databases Rfam, and RibEx using these 21 riboswitch candidates revealed one contig, D8PYI to possess the most probable TPP-box structure. We constructed intragenic synthetic riboswitches to investigate whether the TPP-box motif region in D8PYI could harness gene expression in the presence of TPP. Construction of biosensors containing 100~400 bp fragments of D8PYI contigs, and in vivo imaging using the biosensors displayed TPP-specific changes in the expression of a green fluorescence protein reporter. In this regard, the adaptation of in silico riboswitch screening from environmental metagenomes could provide biosensors for detection of specific metabolites.

Even though cars have a good effect on modern society, traffic accidents do not. There are traffic laws that define the regulations and aim to reduce accidents from happening; nevertheless, it is hard to determine all accident causes such as road and traffic conditions, and human related factors. If a traffic accident occurs, the traffic law classifies it as ‘Negligence of Safe Driving’ for cases that are not defined by specific regulations. Meanwhile, as Korea is already growing rapidly elderly population with more than 65 years, so are the number of traffic accidents caused by this group. Therefore, we studied predictive and comparative analysis of the number of traffic accidents caused by ‘Negligence of Safe Driving’ by dividing it into two groups : All-ages and Elderly. In this paper, we used empirical monthly data from 2007 to 2015 collected by TAAS (Traffic Accident Analysis System), identified the most suitable ARIMA forecasting model by using the four steps of the Box-Jenkins method : Identification, Estimation, Diagnostics, Forecasting. The results of this study indicate that ARIMA (1, 1, 0)(0, 1, 1)12 is the most suitable forecasting model in the group of All-ages; and ARIMA (0, 1, 1)(0, 1, 1)12 is the most suitable in the group of Elderly. Then, with this fitted model, we forecasted the number of traffic accidents for 2 years of both groups. There is no large fluctuation in the group of All-ages, but the group of Elderly shows a gradual increase trend. Finally, we compared two groups in terms of the forecast, suggested a countermeasure plan to reduce traffic accidents for both groups

As the demand for automation (or autonmation) or clean workplace has grown, the interest in the knowledge and skill regarding safety is rising in manager duty. Moreover, the importance of severity rate of injury has increased due to the enlargement of industry scale, even safety management area has developed. Thus, it is important that production managers, the core of the line process, realize the safety in their production line, even if a safety manager acts as a staff. However, in the duty oriented National Competency Standard (NCS), the education about the safety duty of production management part is insufficient. According to NCS, it is calculated production managers receive only 6.7% of whole safety education regarding the duty related the safety management for production manager in mechanical industry. However, the ability in safety is more demanded from production managers as the concept of “production and safety” turns into the concept of “production with safety”. And then in this paper, we will compare and analyze the safety management duty in Korean NCS and the safety management duty in State Leaders Connecting Learning to Work in US manufacturing industry, in terms of the duty of the production manage in mechanical industry (05). And, we will develop the safety duty education system for production manager, by classifying the safety education in domestic mechanical industry into knowledge education, skill education, and attitude education with using AHP(Analytic Hierarchy Process).

PURPOSES:This study aimed to analyze the experimental and numerical behavior of warm mix asphalt pavement prepared using steel slag and RAP and to conduct economic analysis of pavement construction.METHODS :For developing high performance asphalt pavement, we performed three evaluations: fundamental analysis, experimental testing, and 3D finite element analysis. In particular, 3D finite element analysis was conducted on several pavement structures by adopting the results of experimental tests.RESULTS :Through the various evaluations, it was established that steel slag was effective for use as asphalt mixture aggregate. Moreover, asphalt mixture constituting steel slag and RAP demonstrated higher performance behavior compared with conventionally used asphalt mixture. Furthermore, based on the 3D FE modeling, we established that the developed asphalt pavement constituting steel slag and RAP can be utilized for thin layer pavement with comparable performance behavior.CONCLUSIONS:Warm mix asphalt pavement prepared using steel slag and RAP is more competitive and economic compared to hot-mix asphalt pavement. Moreover, it can be applied for preparing thin layer asphalt pavements with reasonable performance. The developed warm mix asphalt pavement prepared using steel slag and RAP can be an alternative pavement type with competitive performance based on the reasonable economic benefit it provides.

The Automobile HVAC system is a habitat for odor-associated fungal communities. We investigated the odorassociated fungal community in an automobile HVAC system using a high-throughput DNA sequencing method. The fungal community structure was evaluated via metagenome analysis. At the phylum level, Ascomycota and Basidiomycota were detected, accounting for 43.41% and 56.49% of the fungal community in the HVAC system, respectively. Columnosphaeria (8.31%), Didymella (5.60%), Davidiella (5.50%), Microxyphium (4.24%), unclassified Pleosporales (2.90%), and Cladosporium (2.79%) were abundant at phylum of Ascomycota and Christiansenia (36.72%), Rhodotorula (10.48%), and Sporidiobolus (2.34%) were abundant at phylum of Basidiomycota. A total of 22 genera of fungi were isolated and identified from the evaporators of the HVAC systems which support fungal growth and biofilm formation. Among them, Cladosporium, Penicillium, Aspergillus and Alternaria are the most representative odor-associated fungi in HVAC systems. They were reported to form biofilm on the surface of HVAC systems with other bacteria by hypha. In addition, they produce various mVOCs such as 3-methyl-1-butanol, acetic acid, butanoic acid, and methyl isobutyl ketone. Our findings may be useful for extending the understanding of odor-associated fungal communities in automobile HVAC systems.

The IRR (internal rate of return) is often used by investors for the evaluation of engineering projects. Unfortunately, it is widely known that it has serial flaws. Also, External rate of returns (ERRs) such as ARR (Average Rate of Return) or MIRR (MIRR, Modified Internal Rate of Return) do not differentiate between the real investment and the expenditure. The PRR (Productive rate of return) is faithful to the conception of the return on investment. The PRR uses the effective investment instead of the initial investment. In this paper, we examined two cases of the engineering project. the one is a traditional engineering project with financing activity, another is the project with R&D. Although the IRR has only one value, it overestimates or underestimate profitabilities of Engineering Projects. The ARR and the MARR assume that a returned cash reinvest other projects or assets instead of the project currently executing. Thus they are only one value of a project’s profitability, unlike the IRR. But the ARR does not classify into the effective investment and non-investment expenditure. It only accepts an initial expenditure as for an investment. The MIRR also fails to classify into the investment and the expenditure. It has an error of making a loss down as the investment. The IRR works as efficiently as a NPW (Net Present Worth). It clearly expresses a rate of return in respect of an investment in an engineering project with a loan. And it shows its ability in an engineering project with a R&D investment.

Background: The Pediatric Balance Scale (PBS) was developed to assess of balance ability in children with balance problem. The PBS was translated into Korean and its reliability had been studied. However, it had need to be verified using psychometric characteristics including item fit and rating scale. Objects: The purpose of this study was to investigate the item fit, item difficulty, and rating scale of the Korean version of PBS using Rasch analysis. Methods: In total, 40 children with cerebral palsy (CP) (boy=17, girl=23) who were diagnosed with level 1 or 2 according to the Gross Motor Function Classification System participated in this study. The PBS was performed, and was verified regarding the item fit, item difficulty, rating scale, and separation index and reliability using Rasch analysis. Results: In this study, the ‘transfer’, and ‘turning to look behind left and right shoulders while standing still’ item showed misfit statistics. in total 40 children with CP. Also, ‘transfer’, ‘standing unsupported with feet together’ and ‘standing with one foot in front’ items showed misfit statistics in diplegia CP group. Regardless of the classification of CP, the most difficult item was ‘standing on one foot’, whereas the easiest item was ‘sitting with back unsupported and feet supported on the floor’. The 4 rating scale categories of PBS were acceptable with all criteria. Both item and person separation indices and reliability showed acceptable values. Conclusion: The PBS has been proven reliable, valid and is an appropriate tool, but it needs to modify the items of PBS according to CP classification.

In this paper, a study on noise reduction characteristics of the precast floating track system, being developed as measures to mitigate noise and vibration of existing as well as constructing elevated railroad stations, is presented using numerical analysis. One of the most prominent sound analysis program, Virtual Lab., is utilized in investigating noise reduction performance of the precast floating track system, and structural velocity data, obtained from vibration analysis on a model-updated elevated railroad station considering vehicle-track-structure interaction, are used for the input of the sound analysis. The sound analysis is performed using the finite element method, and noise reduction performance before and after installing the precast floating track system is compared at three enclosed areas in the Daecheon Station, selected as a representative of elevated railroad stations in this nation. From the comparison result, it is seen that the precast floating track system can decrease noise by average of 5dB∼8dB when the Saemaeul train passing through the station and 10dB∼15dB when the KTX train passing through. Also, the noise reduction characteristics is different depending on the type of train and the distance from the track.

본 연구에서는 초고층건축물의 풍진동 모니터링을 위한 시스템식별기법의 현장적용성을 평가하였다. 실제 아웃리거-벨트월 을 횡력저항 시스템으로 가지는 실제 63층 RC구조물을 대상으로 상시 및 강풍시 응답을 모니터링하였으며, 진동수영역분해(FDD), 랜덤감소(RDT)기법, 부분공간시스템식별(SSI)법을 사용하여 진동특성을 식별하였다. 건물의 평면이 정방형이고, 두 개의 횡방향 모드의 진동수는 매우 유사하였다. 모든 식별기법에서 태풍과 같이 강한 외력이 존재할 경우 뿐만 아니라 상시미진동 에서도 구조물의 모드 특성을 식별할 수 있었다. 현장에서의 적용성 평가결과, 계산속도는 FDD가 가장 빨랐으며, RDT가 가장 간단한 프로그래밍 절차를 가지고 있음을 확인하였다.

PURPOSES:This study suggests a specific methodology for the prediction of road surface temperature using vehicular ambient temperature sensors. In addition, four kind of models is developed based on machine learning algorithms.METHODS:Thermal Mapping System is employed to collect road surface and vehicular ambient temperature data on the defined survey route in 2015 and 2016 year, respectively. For modelling, all types of collected temperature data should be classified into response and predictor before applying a machine learning tool such as MATLAB. In this study, collected road surface temperature are considered as response while vehicular ambient temperatures defied as predictor. Through data learning using machine learning tool, models were developed and finally compared predicted and actual temperature based on average absolute error.RESULTS:According to comparison results, model enables to estimate actual road surface temperature variation pattern along the roads very well. Model III is slightly better than the rest of models in terms of estimation performance.CONCLUSIONS :When correlation between response and predictor is high, when plenty of historical data exists, and when a lot of predictors are available, estimation performance of would be much better.

In this study, we investigated the amino acids content of shiitake mushrooms grown in eight different media and under three different temperature conditions. The sawdust media were supplemented with 4 kinds of nutrients - rice bran, barley, bean curd refuse, and red ginseng refuse in an 8:2 ratio with or without 0.5% calcium chloride, and the fruiting temperature was set to low (13–15oC), medium (18–20oC), or high temperatures (24–26oC). Seventeen amino acids were detected, and the content varied depending on the compositions of the media. The highest total amino acid content (209.7 mg/g) was measured in mushrooms from the media with red ginseng refuse, and the glutamic acid content was the highest (51.3 mg/g) in mushrooms from the media with barley. In terms of fruiting temperature, the amino acid content was the highest (38.2%) at medium temperature followed by the content at low (32.5%) and high temperature (29.3%). The amino acid composition of shiitake mushrooms was similar between the medium and low temperature conditions.

This study explored spatiotemporal variability of water quality in correspondence with hydrometeorological factors in the four stations of Euiam Reservoir located in the upstream region of the North-Han River from May 2012 to December 2015. Seasonal effect was apparent in the variation of water temperature, DO, electric conductivity and TSS during the study period. Stratification in the water column was observed in the near dam site every year and vanished between August and October. Increase of nitrogen nutrients was observed when inflowing discharge was low, while phosphorus increase was distinct both during the early season with increase of inflowing discharge and the period of severe draught persistent. Duration persisting high concentration of Chl-a (>25 mg m-3: the eutrophic status criterion, OECD, 1982) was 1~2 months of the whole year in 2014~2015, while it was almost 4 months in 2013. Water quality of Euiam Reservoir appeared to be affected basically by geomorphology and source of pollutants, such as longitudinally linked instream islands and Aggregate Island, inflowing urban stream, and wastewater treatment plant discharge. While inflowing discharge from the dams upstream and outflow pattern causing water level change seem to largely govern the variability of water quality in this particular system. In the process of spatiotemporal water quality change, factors related to climate (e.g. flood, typhoon, abruptly high rainfall, scorching heat of summer), hydrology (amount of flow and water level) might be attributed to water pulse, dilution, backflow, uptake, and sedimentation. This study showed that change of water quality in Euiam Reservoir was very dynamic and suggested that its effect could be delivered to downstream (Cheongpyeong and Paldang Reservoirs) through year-round discharge for hydropower generation.

In order to distribute agricultural robots to the fields, based on the review of Japanese trends, three preliminary tasks and implications for the development of agricultural robots in Korea are derived as followings. The first result is that farmers are small-scale, agricultural robot is necessary to standardize through the public-private partnerships and reduce the supply price through the utilization of existing technologies and components. Secondly, the car-based robots are GPS-based system, and it is necessary to construct a nation-wide regional base stations that can trensmit the GPS correction signals free of charge in real time. Third, additional research is needed to cope with the unexpected situation in the fields, such as obstacle avoidance technology, robot safety evaluation technology, and safety standard development. In addition, although agricultural robots are being developed in Korea, a step-by-step approach is necessary for solving the above-mentioned pre-requisites for field distribution. In the first stage, it is necessary to supply an autonomous straight guidance system that assists the worker. The second stage is the spread of cooperation system between human and robot. The third stage is a complete robot system, in which the robot works on its own. Therefore, the supply of agricultural robots needs to be approached sequentially.

취업난을 해결하기 위하여 국가적인 차원에서 다양한 취업지원프로그램을 지원하고 있으며 교육과학기술부는 교육역량강화 사업을 실시하여 취업을 지원하는 대학 및 지자체 평생교육 원과 같은 기관을 통하여 취업을 지원하기 위한 다양한 정책과 방안을 모색하고 있다. 그럼에도 불구하고 교육 수혜자들의 요구가 직접적으로 반영되어지기에는 아직 한계가 있 을 수 있다. 본 연구에서는 보다 직접적인 교육 수혜자들의 요구에 대한 탐색을 통하여 취업지원 교육에 있어 강화 되어야할 부분들을 모색하고자하였으며, 이에 본 연구는 취업지원교육에 참여하여 구직 활동 및 취업역량강화를 필요로 하는 대상자들을 중심으로 코칭기반 역량강화 교육을 실시하고 코칭 질문을 바탕으로 하는 인터뷰를 통하여 대상자의 요구를 깊이 있게 탐색하고 연구하고자 인터뷰내용을 중심으로 다빈도 용어도출을 통한 질적 연구형식에 부합하도록 구 성하여 전개하였다. 취업지원 교육에 있어 코칭에 기반을 둔 요구도 조사를 양적연구 및 후속 연구를 위한 방향 성을 제시하고자하였다.