• Journal of agricultural medicine and community health
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• v.28 no.1
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• pp.29-37
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• 2003

Objectives: This study was performed to evaluate the pesticide exposure status and acute pesticide poisoning symtoms among agricultural workers at Gangwon-do province alpine area. Alpine area was defined as the area higher than 400m. Methods: We analyzed 257 interviwed questionnaire about pesticide exposure, acute pesticide poisoning symptoms and other variables. Results: The result was shown that agricultural workers at alpine area used more pesticide than general agricultural workers for annual usage days(35.9 days vs 14.4 days), daily usage hours(6.7 hrs vs 2.8hrs, p<0.05). But there was no difference between general and alpine agricultural worker's herbicide exposure. Moreover, the alpine agricultural worker's acute pesticide poisoning symtom score was higher than general agricultural worker's. These difference was also found at result of regression analysis, under control the age, sex, monthly income. Most frequently suffered symptom was headache and dermatological problems. The symptom prevalence of dermatological problem, headache, general weakness, eye irritation, nausea were higher among alpine agricultural workers than general agricultural workers. Conclusions: As a result, agricultural workers at alpine area were more exposed to pesticide and suffered from pesticide poisoning symptoms. To prevent the symptoms and disease from pesticide exposure among agricultural workers at alpine area, more research and political effort will be needed.

• Tuberculosis and Respiratory Diseases
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• v.42 no.6
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• pp.838-845
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• 1995

The determination of ADA(adenosine deaminase) activity in pleural fluid is useful in differental diagnosis of pleural effusion. The conventional method of determining ADA activity used by Giusti was influenced by contamination of ammonia. Additionally, because Giusti's method was mannual method a determining the ADA activities in sample, was not easily automated. In 1993, Oosthuizen HM with collegues developed simple kinetic method for determining ADA activity. It was reliable and suiable method for automation. In this study, we have measured ADA activity in 162 patients with various pleural effusion by Hitachi 747 autoanalyser using the Oosthuizen kinetic method for the purpuse of determination of new diagnostic cut-off value for the tuberculous effusion and evaluation of the correlation between the conventional method and new automated method. This new method of an enzymatic reaction involves 2, 6-dichlorophenolindophenol dye(DICP), adenosine, xanthine oxidase(XO), and nucleoside phosphorylase(NP). The results were as follows: 1) The mean pleural ADA activity of the tuberculous effusion was $52.53{\pm}16.43\;U/L$ and significantly higher than that of other groups(p<0.001). If the diagnostic cut-off value of pleural ADA activity for tuberculous effusion is above 30 U/L, the sensitivity is 96% and the specificity is 90%. 2) The mean pleural to serum ADA activity ratio of the tuberculous effusion was $2.29{\pm}0.96$ and it was also significantly higher than that of other pleural groups(p<0.001). If the diagnostic cut-off value of pleural to serum ADA activity ratio is 1.5, the sensitivity is 80% and the specificity is 88% in the diagnosis of tuberculous pleural effusion. 3) The new kinetic method is correlates well to Giuisti's conventional method(r=0.971). In conclusion, the new kinetic method described is easily automated and seems to be suitable for the routine determination of ADA activity.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.2
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• pp.144-149
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• 2018

The eggs are incubated for 18 days through the generator and incubated in the developing incubator. During the developmental period, the weight loss of the fetus is correlated with the ventricular formation, and the proper ventricular formation is also associated with the healthy embryonic hatching and the egg hatching rate. However, in the incubator period of the domestic hatchery, it is a reality to acquire the resultant side by the Iranian standard weight measurement with the experience of the hatchery and the person concerned and the development period without the apparatus for measuring the present weight. As a result, prevalence of early mortality, hunger and illness during hatching are frequent. Monitoring the reduction of weaning weight is crucial to obtaining chick quality and hatching performance with weight changes within the development machine. Water loss is different depending on the size of eggs, egg shell, and elder group. We can expect to increase the hatching rate by measuring the weight change in real time and optimizing the ventilation change accordingly. There is a need to develop a real-time measurement system that can control 10 to 13% reduction of the total weight during hatching. The system through this study is a way to check the one - time directly when moving the existing egg, and it is impossible to control the measurement of the fetal water evaporation within the development period. Unlike systems that do not affect the hatching rate, four load cells are connected in parallel on the Arduino sketch board and the AT-command command is used to connect the mobile phone and computer in real time. The communication speed of Bluetooth was set to 15200 to match the communication speed of Arduino and Hyper-terminal program. The real - time monitoring system was designed to visually check the change of the weight of the fetus in the artificial incubator. In this way, we aimed to improve the hatching rate and health condition of the hatching eggs.

• Journal of Broadcast Engineering
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• v.13 no.2
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• pp.200-213
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• 2008

H.264| MPEG-4 AVC is a new video codingstandard defined by JVT (Joint Video Team) which consists of ITU-T and ISO/IEC. Many techniques are adopted fur the compression efficiency: Especially, an intra prediction in an inter frame is one example but it leads to excessive amount of encoding time due to the decision of a candidate mode and a RDcost calculation. For this reason, a fast determination of the best intra prediction mode is the main issue for saving the encoding time. In this paper, by using the result of statistical relation between intra $16{\times}16$ and $4{\times}4$ intra predictions, the number of candidate modes for $4{\times}4$ intra prediction is reduced. Firstly, utilizing motion vector obtained after inter prediction, prediction of a block mode for each macroblock is made. If an intra prediction is needed, the correlation table between $16{\times}16$ and $4{\times}4$ intra predicted modes is created using the probability during each I frame-coding process. Secondly, using this result, the candidate modes for a $4{\times}4$ intra prediction that reaches a predefined specific probability value are only considered in the same GOP For the experiments, JM11.0, the reference software of H.264|MPEG-4 AVC is used and the experimental results show that the encoding time could be reduced by 51.24% in maximum with negligible amounts of PSNR drop and bitrate increase.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.

• Korean Journal of Head & Neck Oncology
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• v.13 no.1
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• pp.9-15
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• 1997

Malignant histiocytosis(MH)-like hemophagocytic syndrome(HS) is a fatal complication of nasal angiocentric lymphoma(AL) and difficult to distinguish from MH. Ten of total 42 patients with nasal AL had HS and 9 of them were initially suspected to have MH. Five patients had HS as initial manifestation, 3 at the time of relapse, and 2 during the clinical remission of lymphoma. Four patients were treated by combination chemotherapy(CHOP) and others had only supportive care. Immunohistochemical study and in situ hybridization were performed on the specimen obtained from 10 patients. The median survival of all patients from HS was 18 days(range 2 - 44 days) and all had fatal outcome regardless of the treatment-modality. All cases were positive for UCHL1(CD45RO) and Epstein-Barr virus (EBV) by EBER in situ hybridization. MH-like HS is a fatal complication of nasal AL and has a high association with EBV. Reactivation of EBV may contribute to HS and further investigation of predictive factors and effective treatment of HS should be pursued in future.

• Journal of Korean Society of Forest Science
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• v.79 no.2
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• pp.144-161
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• 1990

Pine forest communities developed in Mt. Palgong, southeastern Korea, were studied phytosociologically, with special reference to multiple management of local forests, and were classified into two communities, Pinus densiflora - Quercus mongolica community(I : mountain forest) and P. densiflora-Climbing plants community (II : valley forest) and six subgroups accompanied by several subgroups. Judging from the coincidence method, the division of communities (vegetation units) was closely related to altitude and topography. Based on vegetation units, a vertical distribution map of pine forest communities was prepared. The species composition(%) of pine forest communities under stratification, in upper and lower tree layer, teas I higher than II, in middle and shrubs lacer II higher than I (Total : Upper 15.5%, Middle 28.4%, Lower 34.6%. Shrubs 21.5%. Sum of mean coverage%i of understory vegetation was II twice as high as I (Total. shrubs 28.4%. forbs 11.4%, Graminoids 11.8%, ferns 1.0%). Based on constance, coverage and d.b.h. class etc., an actual growth and occurrence table of tree species and understory vegetation by vegetation unity were prepared, and could assume a criterion for judging potential dominance-growth conditions.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.12
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• pp.1622-1627
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• 2007

This study was undertaken to evaluate the effects of chlorine dioxide on reducing E. coli O157:H7 and L. monocytogenes on broccoli served in foodservice institutions. Broccoli samples inoculated with $10^6$ CFU/mL of E. coli O157:H7 and L. monocytogenes were treated with chlorine dioxide. Treatments with 5, 10, and 20 ppm for 1, 5, and 10 min were not sufficient in controlling E. coli O157:H7 on broccoli. L. monocytogenes were effectively reduced by $2.19{\sim}2.48log\;CFU/g\;and\;3.31{\sim}3.87log\;CFU/g$ with 10 and 20 ppm chlorine dioxide for 1, 5, and 10 min treatment, respectively, compared with the control. E. coli O157:H7 and L. monocytogenes population were significantly negatively correlated with concentration and treatment time of chlorine dioxide. These results show that the use of chlorine dioxide was effective in sanitizing L. monocytogenes on broccoli and the level of concentration was more associated with populations of E. coli O157:H7 and L. monocytogenes than treatment time of chlorine dioxide on broccoli.

• Korean Journal of Psychosomatic Medicine
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• v.24 no.2
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• pp.227-235
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• 2016

Objectives : The aims of this study were to know the frequency of cognitive dysfunction among patients with autoimmune thyroid disorders, and to reveal influencing factors on it, especially to clarify association with autoimmune thyroid antibodies. Methods : From sixty-five female patients with autoimmune thyroid disorders, demographic data were obtained by structured interview. Their cognitive funtions were measured using the MMSE-K and the MoCA-K tests. Depression was evaluated by the K-HDRS. Results : 1) Among patients with autoimmune thyroid disorders, 7.69% of them were below 24 on the MMSE-K, while 10.77% were below 22 on the MoCA-K. The frequency of cognitive deficit was not significantly different according to having positivity to antimicrosomal antibodies or not. 2) The antimicrosomal antibody-positive patients had significantly higher antithyroglobulin antibody titers, antimicrosomal antibody titers, and TSH concentration, while had significantly lower free T4 levels(p<0.05, respectively). 3) The total scores of the MMSE-K and the MoCA-K had significant correlation with age, marital status, antithyroglobulin antibody titers and K-HDRS(p<0.05, respectively). 4) The regression analysis revealed that variables such as age, education, autoimmune thyroid antibodies, thyroid function and depression did not influence on cognitive function of patients with autoimmune thyroid disorders. Conclusions : Our results could not support that cognitive function of patients with autoimmune thyroid disorders had correlation with autoimmune thyroid antibodies.

• Korean Journal of Psychosomatic Medicine
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• v.23 no.1
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• pp.3-11
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• 2015

Objectives:To determine the influence of parental behaviors on the onset and severity of eating disorders, this study compared aspects of perceived parental styles, according to eating disorder subtypes and age at onset in Korean women with eating disorders. Methods:One hundred and sixty-seven patients with eating disorders[Anorexia Nervosa (AN), N=49; Bulimia Nervosa(BN), N=118] were recruited for this study. Perceived parent behaviors were assessed with Parental Behavior Inventory(PBI) self-rating scale. The study subjects also completed the Eating Disorder Inventory -2 (EDI-2) to assess the severity of eating disorder symptoms. Results:In anorexia nervosa, early onset group(<16 years) reported low paternal affection and high paternal rational expression, low maternal interference than group with age at onset over 16 years. The severity of eating disorder symptoms was negatively associated with mother affection and rational expression in two subtypes of eating disorder(AN and BN). On stepwise regression analysis, paternal affection and maternal over-protection were associated with age of onset only in AN group and maternal affection was associated with the severity of symptoms in both groups of eating disorder. Conclusions:Considering the role of family function and perceived parental styles could help improve the management of eating disorders. These results emphasize the importance of fathers' role in the eating disorder on the age of onset, a relatively unexplored area of eating disorder research. Also, we investigated the importance of mothers' affection on the severity of symptoms.