Purpose - The purpose of this study is to find out any potential factors for explanatory variables when calculating the virtual successful bid rate in case of no collusion. Design/methodology/approach - An empirical analysis was conducted in this study with a regression analysis that included 725 bid samples under the public construction technical type bidding. Findings - The result of the basic analysis showed that there are several factors affecting the successful bid rate. First, collusion variable; second, government variable; third, successful bidder design score variable and the number of bidder variable among bidding features; fourth, turnkey variable based on the alternative method; fifth, civil works variable and plant works variable based on building work; sixth, asset variable and the fourth-quarter performance difference variable. However, the technical proposal method variable among bidding features was found to be statistically insignificant in column(4). Research implications or Originality - The significance of this research is that new variable such as the government variable and the fourth-quarter performance difference variable were added in the regression model, which showed statistically significant research results.
Kim, Ji-Beom;Kwon, Min-Soo;Kim, Jung-Gon;Yi, Young;Lee, Woo-Chun;Ha, Jeong-Ku;Jang, Suk-Hwan
Journal of Korean Foot and Ankle Society
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v.21
no.1
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pp.33-38
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2017
Purpose: The patient-reported outcome measure (PROM) is used to quantify the subjective state of patients before and after the treatment. The electronic method was recently developed and used for the completion of PROM, in addition to the conventional paper and pencil method. This study identified whether the results of Foot Function Index (FFI) and Foot and Ankle Outcome Score (FAOS) using the paper and pencil method was different from those using the electronic method. Materials and Methods: Between May 2016 and August 2016, 42 patients who were admitted to the Seoul Foot and Ankle Center two days before surgery were included for evaluation. The mean age was 46 years (range, 21~72 years). There were 29 males and 13 females. To use the electronic method, the PADAS software (PADAS, Seoul, Korea) was implemented using a touch pad. The primary trial of FFI and FAOS was performed using either the paper-and-pencil method or the electronic method. At 24 hours after the primary test, a secondary trial of FFI and FAOS was performed using the other method. Then, we identified the reliability of FFI and FAOS between the two methods by calculating the intraclass coefficient. Results: Twenty-two patients underwent the first trial using the paper-and-pencil method, and 20 patients underwent the first trial using the electronic method. Of the 42 patients, 8 patients were excluded from this study and only 34 patients were included in this study. The reliability of FFI was excellent with an intraclass coefficient of 0.957, and the reliability of FAOS was also excellent with an intraclass coefficient of 0.840. Conclusion: The paper-and-pencil method and the electronic method have the same result for the completion of FFI and FAOS in this study. Therefore, it is commonly considered that the completion of FFI and FAOS using the electronic method can be applied in practice.
The purpose of this study was to investigate of gender difference on dietary behavior and food preferences of elementary school children. This survey was carried out through questionnaire method for 274 male and 257 female of the 6th grade elementary school children in Anyang city. By calculating WLI(weight-length index), 26.9% of students were overweight, and 26.2% were under-weight. Average height of male was 147.9cm and that of female was 148.9cm, and their weight was 40.9 kg and 39.2kg respectively. The average BMI(body mass index) was 18.1 kg/㎡. The self-recognition of health status was different according to gender, male recognized better health status than female. There was no significant difference of parents´ education level and the occupation depending on gender. The 56.7% of students had regularly for breakfast, and 60% for lunch and 42.9% for dinner. The female students had irregular meal time more frequently than male did for dinner(p<0.01). They skipped more breakfast(7.0%) than other meals. Reasons of skipping meal were lack of time to eat(50%), boring side-dishes(17.0%) etc. For snacks, choice depends on taste (55.4%), and they bought at the shop nearby (36.5%) and convenience shop(29.9%). They had a meal outside once a month(42.9%), and selected Korean traditional food(52.5%). For almost all of foods male students´ preference showed higher than female except cucumber. Low score of preference was obtained in such as salted vegetables, soy pastes, and fish(shellfish) groups raw or fermented. The preference level was a little higher in such as vegetables & kimchi group and pot stews. The results assert the importance of nutrition education for the students in puberty. It is necessary breakfast should be taken regularly, and therefore we should carry out the education of importance of nutrition and health for children considering the dietary behavior and food preference for balanced diet.
So Jung Ki;Chul Hwan Park;Kyunghwa Han;Jae Min Shin;Ji Young Kim;Tae Hoon Kim
Journal of the Korean Society of Radiology
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v.82
no.6
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pp.1493-1504
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2021
Purpose This study aimed to evaluate the utility of the 16-cm axial volume scan technique for calculating the coronary artery calcium score (CACS) using non-enhanced chest CT. Materials and Methods This study prospectively enrolled 20 participants who underwent both, non-enhanced chest CT (16-cm-coverage axial volume scan technique) and calcium-score CT, with the same parameters, differing only in slice thickness (in non-enhanced chest CT = 0.625, 1.25, 2.5 mm; in calcium score CT = 2.5 mm). The CACS was calculated using the conventional Agatston method. The difference between the CACS obtained from the two CT scans was compared, and the degree of agreement for the clinical significance of the CACS was confirmed through sectional analysis. Each calcified lesion was classified by location and size, and a one-to-one comparison of non-contrast-enhanced chest CT and calcium score CT was performed. Results The correlation coefficients of the CACS obtained from the two CT scans for slice thickness of 2.5, 1.25, and 0.625 mm were 0.9850, 0.9688, and 0.9834, respectively. The mean differences between the CACS were -21.4% at 0.625 mm, -39.4% at 1.25 mm, and -76.2% at 2.5 mm slice thicknesses. Sectional analysis revealed that 16 (80%), 16 (80%), and 13 (65%) patients showed agreement for the degree of coronary artery disease at each slice interval, respectively. Inter-reader agreement was high for each slice interval. The 0.625 mm CT showed the highest sensitivity for detecting calcified lesions. Conclusion The values in the non-contrast-enhanced chest CT, using the 16-cm axial volume scan technique, were similar to those obtained using the CACS in the calcium score CT, at 0.625 mm slice thickness without electrocardiogram gating. This can ultimately help predict cardiovascular risk without additional radiation exposure.
Transportation project appraisal should be precise in order to increase the social welfare and efficiency, and it has been evaluated by only a single criterion analysis such as benefit/cost analysis. However, this method cannot assess some qualitative items, and cannot get a proper solution for the clash of interests among various groups. Therefore, the multi-criteria analysis, which can control these problems, is needed, and then Saaty has developed one of these methods, AHP(Analytic Hierarchy Process) method. In AHP, the project is evaluated through weighted score of the criteria and the alternatives, which is surveyed by a questionnaire of specialists. It is based on some strict suppositions such as reciprocal comparison, homogeneity, expectation, independence relationship between multi-criteria, but supposing that each criterion has independence relation with others is too difficult in two reasons. First, in real situation, there cannot be perfect independence relationship between standards. Second, individuals, even though they are specialists of that area, do not feel the degree of independence relation as same as others. This paper develops a modified AHP method for solving this dependence relationship between multi-criteria. First of all. in this method, the degree of dependence relationship between multi-criteria that the specialist feels is surveyed and included to the weighted score of multi-criteria This study supposes three methods to implement this idea. The first model products the degree of dependence relationship in the first step for calculating the weighted score, and the others adjust the result of weighted score from the basic AHP method to the dependence relationship. One of the second methods distributes the cross weighted score to each standard by constant ratio, and the other splits them using Fuzzy measure such as Bel and Pl. Finally, in order to validate these methods, this paper applies them to evaluate the alternatives which can control public resentments against Korean rail path in a city area.
Purpose: We compared the quality of life (QOL) and nutritional outcomes following both Billroth I (BI) and Billroth II (BII) reconstructions after a subtotal gastrectomy in order to identify which reconstruction would produce a better QOL and nutritional outcomes and to provide better follow-up management. Materials and Methods: We studied 273 patients without evidence of recurrent disease following a curative distal subtotal gastrectomy for gastric cancer. Among them, 135 underwent a BI reconstruction and 138 a BII reconstruction. The nutritional status was assessed by using levels of hemoglobin, serum albumin, iron, and vitamin B12 and by calculating the relative body weight, the body mass index, and the percentage of body fat. The QOL was measured by using the Troidl score and by treatment-specific symptoms based on the criteria, somewhat modified by the authors, of Korenaga and others. Results: There was no significant difference in QOL between the BI and the BII groups. More than half of the patients revealed anemia, regardless of the type of reconstruction. The serum vitamin $B_{12}$ level of the BII group was lower than that of the BI group. The BII group showed a tendency toward lower hemoglobin levels and serum iron concentrations than the BI group did. Conclusions: The quality of life was not impaired in most patients after either a BI or a BII reconstruction. However, both resulted in iron deficiency anemia, although the incidence was higher after a BII reconstruction. The patient's serum iron and vitamin B12 should be measured periodically and these must be administered if the measurements reveal a below normal range.
Journal of the Korean Association of Geographic Information Studies
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v.15
no.1
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pp.119-132
/
2012
Recently, forest soil sediment disasters resulting from locally concentrated heavy rainfall have been occurring frequently in steep slope areas. The importance of landslide hazard map is emerging to analyze landslide vulnerable areas. This study was carried out to develop HyGIS-Landslide based on Hydro Geographic Information System in order to analyze forest soil sediment disaster in the mountainous river basin. HyGIS-Landslide is one of HyGIS components designed by considering the landslide hazard criteria of Korea Forest Service. It could show the distribution of landslide hazard areas after calculating the spatial data. In this system, the user could reset the weight of hazard criteria to reflect the regional characteristics of the landslide area. This component provided user interface that could make the latest spatial data available in the area of interest. HyGIS-Landslide could be applied to the surveyor's compensation score and it was possible to reflect the landslide risk exactly through it. Also, it could be used in topographic analysis techniques providing spatial analysis and making topographical parameters in HyGIS. Finally the accuracy could be acquired by calculating the landslide hazard grade map and landslide mapping data. This study applied HyGIS-Landslide at the Gangwon-do province sample site. As a result, HyGIS-Landslide could be applied to a decision support system searching for mountainous disaster risk region; it could be classified more effectively by re-weighting the landslide hazard criteria.
Journal of the Korean Association of Geographic Information Studies
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v.16
no.2
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pp.75-87
/
2013
This study developed a GIS-based suitability assessment model of coastal zoning system that is needed in the substantial classification of coastal zoning system according to the establishment of law about coastal zoning system. First, this study investigated several kinds of regulations, GIS database and application system related coastal area. Also, grid data model was selected as the GIS analytical model for calculating items of suitability assessment of coastal zoning system. And Grid-based analytical method was suggested for calculating items composing of sea and spatial location characteristics including physical one. Critical values of items were presented using standards that were suggested in coastal regulations and land suitability assessment. Especially, this study presented a calculation method of continuous pattern as fuzzy set function for reflecting the characteristics of GIS data. And this study classified the suitability grade using Z-score and developed model designating coastal zone as conservation management priority, utilization management priority, and planning management priority. This study is judged that very efficient business performance is possible if we consider the spatial coverage of study area and GIS database when the suitability assessment model of coastal zoning system that is suggested in this study, is applied to business works.
We propose a method to analyze the user reviews and ratings of the products in the online shopping mall and automatically extracts the features of the products to determine the characteristics of a product. By judging whether a rating is given by a specific feature of a product, our method distributes the score to each feature. Conventional methods force users to wastes time reading overflowing number of reviews and ratings to decide whether to buy the product or not. Moreover, it is difficult to grasp the merits and demerits of the product, because of the way reviews and ratings are provided. It is structured in a way that it is impossible to decide which rating is given to the which characteristics of the product. Therefore, in this paper, to resolve this problem, we propose a method to automatically extract the feature of the product from the user review and distribute the score to appropriate characteristics of the product by calculating the rating of each feature from the overall rating. proposed method collects product reviews and ratings, conducts morphological analysis, and extracts features and emotional words of the products. In addition, a method for determining the polarity of a sentence in which the feature appears is given a weight value for each feature. results of the experiment and the questionnaires comparing the existing methods show the usefulness of the proposed method. We also validates the results by comparing the analysis conducted by the product review experts.
Journal of the Korea Institute of Information and Communication Engineering
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v.25
no.2
/
pp.308-313
/
2021
In this study, tweets about the 2019 Koreas-US DMZ Summit were collected along with a time sequence and analyzed by a sequential topic modeling method, Dynamic Topic Modeling(DTM). In microblogging services such as Twitter, unstructured data that mixes news and an opinion about a single event occurs at the same time on a large scale, and information and reactions are produced in the same message format. Therefore, to grasp a topic trend, the contextual meaning can be found only by performing pattern analysis reflecting the characteristics of sequential data. As a result of calculating the DTM after obtaining the topic coherence score and evaluating the Latent Dirichlet Allocation(LDA), 30 topics related to news reports and opinions were derived, and the probability of occurrence of each topic and keywords were dynamically evolving. In conclusion, the study found that DTM is a suitable model for analyzing the trend of integrated topics in a specific event over time.
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