The direct detection of intestinal pathogens and viruses often requires costly, tedious, and time-consuming procedures. These requirements developed a test to show that the water was contaminated with sewage-borne pathogens by assessing the hygienic quali

In order to investigate the microbiological contamination of spring water, we performed the standard plate count, coliform and psychrotrophilic bacteria in 109 spring waters in Seoul. Of 109 spring waters, geometric mean of standard plate count was 0.19 CFU/ml, and the highest in Mt. Boolam, 4.43 CFU/ml and Mt. Dobong, 3.86 CFU/ml, but not detected in Mt. Woomyun and Mt. Cheonggye. Four spring waters have shown over 100 CFU/ml in standard plate count. The geometric mean of psychrotrophilic bacteria was 49.2 CFU/ml, the most prevalent spring water was Mt. Nam, 125 CFU/ml, the lowest Mt. Woomyeun. Among a total of 109, coliform was detected from 21 spring waters(19.3%) and the geometric mean of colirorm was 0.005 MPN/100ml. The isolated genera of coliform were 7 isolates of E. coli(33%), 5 Klebsiella(24%), 4 Enterobacter(19%), 3 Citrobacter(14%) and 2 Serratia(10%), respectively. The 22 spring waters(20.2%) failed to meet the standard limits of drinking water based on regulation in Korea. The inappropriate rate of standard plate count in spring water was 4.5%, that of coliform was 81.1% and both of them was 13.6%. There was the significant correlation between standard plate count and psychrotrophilic bacteria in spring water(r=0.95, p<0.01).

This paper deals with a newly developed direction indicator system of a car which displays left turn and U-turn signal differently, so that the following driver can identify the intent of the next car ahead easily. In general, when a car want to change its direction, the driver move the blinker lever below the steering wheel up or down. However, as the left turn and U-turn signal are the same, there always be the risk of rear-end collision by misinterpreting U-turn signal as left turn signal. In this paper, a new direction indicator system which differentiates left turn and U-turn signal is developed. The left turn signal is the same as before, but when a driver want to U-turn, an additional U-turn signal blinks at the rear of the car. By identifying the direction signals clearly, the developed system is expected to alleviate the risk of car accident.

원자력발전소(원전)는 운전기준지진(OBE) 초과지진 발생시 안전성 검사와 시험을 위하여 운전을 정지하여야 하는데, 계측된 지진기록의 누적절대속도(CAV)계산 값이 0.16g-sec를 초과하고 OBE 응답스펙트럼을 초과하면 OBE를 초과한 것으로 고려하게 된다. 이 CAV 기준은 발전소의 지진 특성과 구조물의 특성에 따라 다르므로, 발전소에 적합한 CAV 기준을 설정하여야 한다. 국내 원전에 적합한 CAV 기준 값을 설정하기 위하여, 각 방향에서의 지진하중에 일관되게 반응하도록 고안한 원통모양의 아크릴 봉을 조립한 지진손상표시기(SDI)를 제작, 진동대 시험을 통하여 지진의 세기를 평가하고 국내 원전 내진설계에 적용된 CAV값을 계산한 결과0.3~0.5g-sec으로 나타나 OBE 초과기준으로 CAV기준 값(0.16g-sec)의 적용은 충분히 보수적인 값으로 나타났다. 본 연구를 통하여 개발된 SDI는 발전소 운전원이 OBE 초과 여부를 판단하는데 도움을 줄 수 있을 뿐만 아니라 운전 정지 후 원전의 지진 피해도를 정량적으로 판단하여 조치를 취하는 도구로 활용될 수 있을 것이다.

This paper deals with a newly developed direction indicator system of a car which displays left turn and U- turn signal differently, so that the following driver can identify the Intent of the next car ahead easily. In general, when a car want to change its direction, the driver move the blinker lever below the steering wheel up or down. However, as the left turn and U-turn signal are the same, there always be the risk of rear-end collision by misinterpreting U-turn signal as left turn signal. In this paper, a new direction indicator system which differentiates left turn and U-turn signal is developed. The left turn signal is the same as before, but when a driver want to U-turn, an additional U-turn signal blinks at the rear of the car. By identifying the direction signals clearly, the developed system is expected to alleviate the risk of car accident.

본 논문에서는 온실재배 토마토에서 수분 상태를 고려한 정밀한 관개를 위하여 경직경의 변화에 근거한 자동관개 시스템을 구현하고자 하였으며 이와 같은 작물적 지표에 의한 관개제어시스템을 포트재배(closed feeding system) 조건과 포장재배 조건의 재배에 적용하여 토마토의 수량과 과실의 품질에 대하여 그 적합도를 평가하였다. 작물적 지표에 의한 관개 자동화를 위하여 경직경 측정 센서를 이용하여 측정한 경직경 일증가량(DI)를 관개 개시점의 결정에 이용하고, 동시에 이때의 관개량을 결정하기 위하여 토마토 증산모델을 적용한 마이크로 컴퓨터 자동관개 시스템을 구현하고 그 성능을 평가하였는데, 이 자동 관개 시스템을 이용하여 관개처리한 결과 포트재배에서는 토양수분에 의한 관개방식보다 수량 및 과실의 당도가 증가하였으나 포장조건에서는 관개방법간에 큰 차이가 없었다. 따라서 경직경 증가에 근거한 관개 개시점을 판단하고 관계량을 결정하는 증산모델을 사용하는 컴퓨터 시스템은 특히 closed feeding System에서 유용하며 토양조건에서는 토양의 상태, 작물의 반응 등을 고려하여 적용하여야 할 것으로 판단되었다.

The differentiation of emotions by means of psychophysiological measures has been only moderately successful so far. A major reason for this dilemma may be the lack of appropriate neurophysiological modeling for the various autonomic nervous system based measures being used in emotion research. The aim of the present article is to provide such a neurophysiological background for electrodermal activity which has been frequently used as an indicator of emotional processes. First, the literature is reviewd with respect to the usability of electrodermal measures as an indicators of emotion. second, the neurophysilogical sources of electrodermal phenomena in general are described. Electrodermal activity has different origins in the central nervous system, a limbic-hypothalamic source that dominates during negative emotions as opposed to a premotor and basal ganglia source being predominantly active during positive emotions. Panksepp's model of four basic emotive systems is adopted for demonstrating subcortical structures and pathways possibly involved in the elicitation of both kinds of electrodermal activity in comparison with cardiovascular in dicators of emotional processes.

There were few data for the distribution of the indicator organisms in the commercial plant foods, and for the normal flora and for the foodborne agents within the country. First of all it must be investigated the distribution of the indicator organisms. And also it is very important to prepare the sanitation criteria for the plant foods through the microbiological e×amination and the investigation of tendency to change of the indicator organisms according to the storage temperature and period. The average number of total viable counts for grains was 2.9 × 10^5/g, psychrophilic bacteria 2.9 × 10^6/g, heterotrophic bacteria 3.1 × 10³/g, heat-resistant bacteria 2.1 × 10³/g Pseudomonas aeruginosa 23/g. That for beans was 6.3 × 10²/g, psychrophile 34/g, heterotroph 1.7 × 10²/g. That for sesames was 1.4 × 10^5/g, coliform 350/g, psychrophile 7.4 × 10⁴/g, heterotroph 5.8 × 10⁴/g, Pseud. aeruginosa 2.3 × 10³/g. heat-resistant bacteria 150/g. That for potatoes was 2.0 × 10^7/g, coliform 5.0 × 10⁴/g, psychrophile 1.8 × 10^7/g, heterotroph 1.4 × 10^7/g, heatresistant bacteria 3.3 × 10¹/g, Staphylococcus 2.7 × 10^5/g, fecal streptococcus 4.5 × 10³/g, Pseud. aeruginosa 7.0 × 10³/g. That for mushrooms was 1.2 × 10^8/g, psychrophile 9.4 × 10^7/g, heterotroph 1.0 × 10^9/g, heat-resistant bacteria 1.6 × 10^5/g, Pseud. aeruginosa 1.3 × 10³/g. That for vegetables was 5.9 × 10^(11)/g, coliform 1.8 × 10^6/g, psychrophile 1.1 × 10²/g, heterotroph 8.4 × 10^(11)/g, heatresistant bacteria 7.6 × 10^6/g, Staphylococcus 1.1 × 10^7/g, fecal streptococcus l.1 × 10⁴/g, Pseud. aeruginosa 5.2 × 10⁴/g. That for nuts 3.9 × 10⁴/g, coliform 3.9 × 10³/g, psychrophile 4.0 × 10^8/g, heterotroph 3.2 × 10^8/g, heat-resistant bacteria 400/g. In commercial grains and beans, SPC, psychrophile, heterotroph and heat-resistant bacteria stored at 10℃, 20℃, 30℃ were constant. Staphylococcus, coliform, Pseud. aeruginosa were decreased a little in grains, but were not detected in beans. In mushrooms, all indicator organisms were increased as time goes on and were increased rapidly at 20. In sesames, coliform was not detected at all temperature. psychrophile was increased for 7 days, the otners were constant. In potatoes, SPC, psychrophile, heat-resistant bacteria, heterotroph had a tendency to increase and the others were constant. In vegetables, indicator organisms were had a tendency to increase, psychrophile, heterotroph were rapidly increased after 7 days. In nuts, SPC, coliform, psychrophile, heterotroph, heat-resistant bacteria, Pseud. aeruginosa were constant, staphylococcus and fecal streptococcus were not detected.

The average number of total viable counts for the commercial pork tested was 19/g, coliform 1.8/g, psychrophilic bacteria 15/g, heterotrophic bacteria 12/g, fecal streptococcus 6.2/100 g, Pseudomonas aeruginosa 13/100 g and none of heat-resistant bacteria and Staphylococcus was detected. That for the commercial beef tested was 130/g, coliform 5.2/g, psychrophile 140/g, heterotroph 28/g, Staphylococcus 1.2/g, fecal streptococcus 9.5/100 g, Pseud. aeruginosa 1.9/100 g and heat-resistant bacteria was not detected. That for the commercial chicken tested was 8800/g, coliform 53/g, psychrophile 4600/g, heterotroph 4700/g, fecal streptococcus 9.9/100 g, Pseud. aeruginosa 2.5/100 g. That for milk was 4700/ml, psychrophile 120/ml, heterotroph 420/ml and the others were not detected. That for the commercial cheese was 3.2/g, psychrophile 2.3/g, heterotroph 1.6/g, Staphylococcus 1/g, fecal streptococcus 9.1/g. That for fermented milk was 10^7/ml, heatresistant bacteria 10^6/ml, fecal streptococcus 2400/100 ml, lactobacillus 3.2 × 10^(15)/ml, in accordance with lactic acid bacteria and the others were not detected. There was not detected any indicator organisms from ham, sausage, butter, eggs and quails in the commercial fooods tested. SPC, coliform, psychrophile and heterotroph in commercial meats stored at 10℃ were increased rapidly as time goes on but heat-resistant bacteria, staphylococcus, fecal streptococcus and Pseud. aeruginosa were constant. At 20℃, SPC, coliform, psychrophile, heterotroph and fecal streptococcus were the highest at 7 days and heat-resistant bacteria, staphylococcus and Pseud. aeruginosa were increased a little. At 30℃, all indicators were increased rapidly for 3 and 7 days and then decreased rapidly. All indicator organisms were increased at the level of 10/g for 14 days in meat products stored at 10℃, but SPC, psychrophile and heterotroph in meat products stored at 20℃ were increased at the level of 10^5/g. It showed that the indicators in meat products stored at 30℃ had a tendency to increase at the level of l0₂/g relative to those stored at 20℃. SPC, psychrophile and heterotroph in milk stored at 10 increased up to the level of 10₄/ml, but coliform, staphylococcus, fecal streptococcus and Pseud. aeruginosa were not detected. As stored at 20℃ and 30℃, they were increased rapidly for 1 or 3 days and then constant for a long time.

In the present work we introduce a new flare activity indicator, MAD and examine its characteristics by analyzing a set of successive three days' observations of a typical active region, AR2372. The computed MAD is compared with conventional activity indicator such as separator. It is found that. (1) MAD traces very well the separator, (2) it. singles out. local discontinuity of magnetic field lines and (3) it. is a good measure of describing the evolutionary status of active region.

This paper intends to investigate commercial fish and shellfish 25 species (fish 8 species, shellfish 7 species, crustacean 3 species, molusc 4 species and echinodermata) for the distribution of sanitary indicator organisms (total viable counts, coliforms, staphylococci, vibrios, and enterococci) and diatributional change of indicator organisms according to storage temperature and period. The logarithmic mean of total viable counts for total commercial fish and shellfish 25 species was 5.41±0.26 CFU/g, and in accordance with fish and shellfishes, crustacean 6.76±0.67 CFU/g, shellfish 5.67±0.56 CFU/g, echinodermata 5.47±0.50 CFU/g, fish 5.021±0.38 CFU/g, and mollusc 5.03±0.65 CFU/g. The logarithmic mean of enterococci was 2.36±0.37 CFU/g, and in accordance with fish and shellfish, crustacean 3.44±0.12 CFU/g, shellfish 3.87±0.45 CFU/g, echinodermata 3.38±0.0 CFU/g, fish 2.16±0.41 CFU/g and mollusc 0.01±0.0 CFUIg. The logarithmic mean of vibrios was 1.60±0.59 CFUIg, and in accordance with fish and shellfish, crustacean 4.23±0.11 CFU/g, shellfish 3.58±0.90 CFUIg, echinodermata 1.64±0.34 CFU/g, fish 1.79±0.67 CFU/g and mollusc 1.07±0.61 CFU/g. The logarithmic mean of staphylococci was 1.60±0.59 CFU/g, and in accordance with fish and shellfish, shellfish 0.01±0.00 CFU/g, echinodermata 3.51±0.60 CFU/g, fish 1.68±0.64 CFU/g, crustacean 0.34±0.33 and mollusc 2.90±0.11 CFU/g. The logarithmic mean of coliforma was 2.2±0.32 CFU/g, and in accordance with fish and shellfish, echinodermata 3.58±0.89 CFU/g was highest, shellfish 3.25±0.30 CFU/g, crustacean 3.23±0.49 CFU/g, fish 2.18±0.63 CFU/g, peeled shellfish 1.80±0.51 CFU/ g and mollusc 1.55±0.95 CFU/g. As the results of research of the change of the contaminated indicator microflora in working with storage period at 10℃, 20℃ and 30℃, total viable counts was increased without storage temperature and enterococci were decreased slowly at 10℃, but increased at 20 and 30℃ Vibrios were decreased slowly at 10℃, decreased at 20℃ and 30℃ in 2 days after increased rapidly. Staphylococci were increased promptly without storage temperature in 2 days, then the total viable counts were maintained. Coliforms were increased at 10℃ by 7 days, then decreased or maintained after 14 days, changed at 20℃ in accordance with fish species in 2 days, then returned to the initial total viable count, and decreased rapidly at 30℃ on 2 days. By the way, there were no difference among the species.

For F,G,K stars, their photometric data and metallicity, [Fe/H] are collected and their correlations between δ δ (U-B) and [Fe/H] for each spectral group are examined, using a reference sequence which is defined by the stars in Woolley's catalogue and other reference sequences. Detailed examination shows that the reference sequence by Woolley's catalogue appears to be properly defined for the calculation of δ δ (U-B) of population I stars in the solar neighborhood. It is suggested that accuracies of metallicities derived from δ δ (U-B) can be improved if we derive the correlations between [Fe/H] and δ δ (U-B) from the stars in each spectral group.

From UBVRI photometry and space motion data of 232 late type dwarf stars, it is found that for the stars of (R-I)<0.5, Δ (U-B) and Δ (B-V) color excesses are correlated with their orbital eccentricities. Therefore, Δ (U-B) and Δ (B-V) color excesses can be used as possible photometric abundance indicators for the stars of (R-I)<0.5. For the stars of (R-I) ≥ 0.5, the correlation between color excess and orbital eccentricity is not clear. However, it is interesting to note that the high orbital eccentricity stars show some blue deficiencies and these blue deficiencies seem to be correlated with orbital eccentricity.

This study analyzed the status of climate-change indicator plants native to the main islands of the Korean peninsula, while elucidating their distribution characteristics. Information on flora from over 129 island locations, comprising more than 100 species of native plants, was collected, compiled into a database, and utilized as raw data. The distribution of 193 climate-change indicator plants was confirmed. The distribution area of broadleaf evergreen trees and ferns, including Mallotus japonicus and Cyrtomium falcatum, was relatively wide. In contrast, the distribution of common northern plants such as Corydalis turtschaninovii and Malus baccata was limited. If global warming persists, northern plant distribution is expected to decrease rapidly in the Korean Peninsula island region, while the northern limit line of the southern plants is expected to migrate further northward. During this process, it is likely that the plant congregation structure and species diversity within the island region will change dynamically. In this study, comparative analyses between species and regions were conducted by assessing the relative frequency of their occurrence, and six types of botanical geographic distribution patterns were noted.

The study aims to investigate determinants of performance indicator and perceptions of existing and potential customers in accommodation sharing. This study uses data of Airbnb in Busan and Jeju from January 1 to December 31 in 2018, provided by AirDNA. The total number of listed accommodation sharing were 5,109 accommodations in Busan and 11,502 accommodations in Jeju. More than 90 property types of registered accommodation are subcategorized and re-classified in this study. Study 1 examined current usage and effects of factors on performance indicator in tourism destinations by applying Airbnb data. Study 2 investigated effects of perceived factors on satisfaction, intention to use, loyalty, and tourism competitiveness by applying online survey data. This study applies statistical analyses such as factor and regression analyses, ANOVA, t-test, and MANOVA. Results of Study 1 showed that usage and effects of accommodation sharing differ from regulation that is related to sharing types. Effects also differ based on travel destinations. Results of Study 2 showed how customers perceive accommodation sharing differ from pure meaning of sharing. The results of Study 1 and 2 found significant effects of price and service factors on performance indicator and customer satisfaction. The findings of Study 2 showed significant effects on loyalty and tourism competitiveness.