Proceedings of the Korean Institute Of Construction Engineering and Management
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2007.11a
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pp.396-400
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2007
Various ways of automated guideway transit construction are being planned recently owing to the policies of the national government and local municipalities as well as increasing investment from the private sector. Particularly, the increase in the private investment is increasing greatly in SOC (Social Overhead Cost). This trend of promoting private sector investment must be conducted on the basis of a thorough analysis of the economic feasibility of the project from the government and construction companies in the private sector. In other words, an accurate cost analysis of initial investment cost (Construction cost), maintenance/repair cost, profit making through the operation of the concerned facilities, cost of dissolution, etc. in terms of the life cycle is very much in need. Nevertheless, the analysis of uncertainty factors and its probabilistic theory are in need of development so that they can be used in the analysis of the economic feasibility of a construction project. First of all, the actual studies on maintenance/repair cost of automated guideway transit are scarce as of yet, prohibiting an accurate computation of the cost and its economic analysis. Accordingly, this study focused on the uncertainty analysis of the economic feasibility for civil engineering structures among automated guideway transit construction projects based on the rapidly increasing investment on such structures from the private sector. For this research purpose, a cost classification system for the automated guideway transit is proposed, first of all, and the data On the cost cycle of the civil structure facilities and their unit cost are collected and analyzed. Then, the uncertainty in the cost is analyzed from the perspective of LCC. In consideration of the current status with almost no. studies on maintenance/repair of such facilities, it is expected that the cost classification system and the uncertainty analysis technique proposed in this study will greatly enhance LCC analysis and economic feasibility studies for automated guideway transit projects in the future.
Park, Do-Hyung;Chung, Jaekwon;Chung, Yeo Jin;Lee, Dongwon
Journal of Intelligence and Information Systems
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v.20
no.4
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pp.1-23
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2014
Market forecasting aims to estimate the sales volume of a product or service that is sold to consumers for a specific selling period. From the perspective of the enterprise, accurate market forecasting assists in determining the timing of new product introduction, product design, and establishing production plans and marketing strategies that enable a more efficient decision-making process. Moreover, accurate market forecasting enables governments to efficiently establish a national budget organization. This study aims to generate a market growth curve for ICT (information and communication technology) goods using past time series data; categorize products showing similar growth patterns; understand markets in the industry; and forecast the future outlook of such products. This study suggests the useful and meaningful process (or methodology) to identify the market growth pattern with quantitative growth model and data mining algorithm. The study employs the following methodology. At the first stage, past time series data are collected based on the target products or services of categorized industry. The data, such as the volume of sales and domestic consumption for a specific product or service, are collected from the relevant government ministry, the National Statistical Office, and other relevant government organizations. For collected data that may not be analyzed due to the lack of past data and the alteration of code names, data pre-processing work should be performed. At the second stage of this process, an optimal model for market forecasting should be selected. This model can be varied on the basis of the characteristics of each categorized industry. As this study is focused on the ICT industry, which has more frequent new technology appearances resulting in changes of the market structure, Logistic model, Gompertz model, and Bass model are selected. A hybrid model that combines different models can also be considered. The hybrid model considered for use in this study analyzes the size of the market potential through the Logistic and Gompertz models, and then the figures are used for the Bass model. The third stage of this process is to evaluate which model most accurately explains the data. In order to do this, the parameter should be estimated on the basis of the collected past time series data to generate the models' predictive value and calculate the root-mean squared error (RMSE). The model that shows the lowest average RMSE value for every product type is considered as the best model. At the fourth stage of this process, based on the estimated parameter value generated by the best model, a market growth pattern map is constructed with self-organizing map algorithm. A self-organizing map is learning with market pattern parameters for all products or services as input data, and the products or services are organized into an $N{\times}N$ map. The number of clusters increase from 2 to M, depending on the characteristics of the nodes on the map. The clusters are divided into zones, and the clusters with the ability to provide the most meaningful explanation are selected. Based on the final selection of clusters, the boundaries between the nodes are selected and, ultimately, the market growth pattern map is completed. The last step is to determine the final characteristics of the clusters as well as the market growth curve. The average of the market growth pattern parameters in the clusters is taken to be a representative figure. Using this figure, a growth curve is drawn for each cluster, and their characteristics are analyzed. Also, taking into consideration the product types in each cluster, their characteristics can be qualitatively generated. We expect that the process and system that this paper suggests can be used as a tool for forecasting demand in the ICT and other industries.
Recently, with the MZ generation's entry into society and the social participation of the female population, conflicts are occurring between workplace groups that value WLB and existing groups that emphasize collaboration due to differences in work orientation. Public institutions and companies that utilize work-life balance support systems show differences in job Commitment depending on the nature of the work and the activation of the support system. Accordingly, it is necessary to verify the effectiveness of the WLB support system actually operated by the company and present universally valid standards. The purpose of this study is, first, to verify the effectiveness of the support system for work-life balance and to find practical consensus amid changes in policies and perceptions of the working environment. Second, the influence of work-life balance level and job immersion according to work characteristics was analyzed to verify the mutual influence in order to establish standards for WLB operation that reflects work characteristics. For the study, a 2X2 matrix model was used to analyze the impact of work-life balance and work characteristics on job commitment, and four hypotheses were established. First, analysis of the job involvement level of conflict-type group members, second, analysis of the job involvement level of leading group members, third, analysis of the job involvement level of agreeable group members, and fourth, analysis of the job involvement level of cooperative group members. To conduct this study, an online survey was conducted targeting employees working in public institutions and large corporations. The survey was conducted for a total of 9 days from October 23 to 31, 2023, and 163 people responded, and the analysis was based on a valid sample of 152 people, excluding 11 copies that were insincere responses or gave up midway. As a result of the study's hypothesis testing, first, the conflict type group was found to have the lowest level of job engagement at 1.43. Second, the proactive group showed the highest level of job engagement at 4.54. Third, the conformity group showed a slightly lower level of job involvement at 2.58. Fourth, the cooperative group showed a slightly higher level of job involvement at 3.80. The academic implications of the study are that it subdivides employees' personalities into factors based on the level of work-life balance and nature of work. The practical implications of the study are that it analyzes the effectiveness of WLB support systems operated by public institutions and large corporations by grouping them.
This study focused on finding how to raise the positive effect of a service employee on the organization by strengthening his sympathetic feeling at the position of business, not the position of customer and how to reduce the negative effect. The specific objectives of the study are: First, the effect factors of the empathy abilities (cognitive empathy, emotional empathy) of a service employee are largely classified as the social support (supervisor support, co-worker support) to the service employee and the self-soothing ability. Therefore, this study tries to verify the relationship between the self-soothing ability, and social support and empathy which are preceding factors of the empathy of a service employee. Second, it also tries to verify the relationship between job stress and empathy ability(cognitive empathy, emotional empathy) of a service employee. As a result of the verification of the study hypothesis, first, the social support was distinguished as supervisor support and co-worker support, and the empathy ability was distinguished as cognitive empathy and emotional empathy. As a result of verifying the relationship between social support and empathy ability, the supervisor support did not have a positive effect on cognitive empathy while the co-worker support did have a positive effect of cognitive empathy. The supervisor support had a positive effect on emotional empathy and the co-worker support had a positive effect on emotional empathy. Second, the self-soothing ability of a service employee had a positive effect on empathy ability and a positive effect on both cognitive empathy and emotional empathy. Finally, the empathy ability(cognitive empathy, emotional empathy) of a service employee was shown to have a negative effect on the job stress of a service employee.
Journal of the Economic Geographical Society of Korea
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v.17
no.2
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pp.335-348
/
2014
This study investigates the technical level and industrial structure for the case of the Gazelle industry in Chungnam Province. As a results of the empirical study, the Gazelle industry of Chungnam Province shows a competitive position in terms of scale and growth capacity, which. in turn, provides income and tax collection effects due to the high level of industrial efficiency. Among the Gazelle industry of Chungnam Province, low-level technology industry, compared to high and middle-level technology industries, accelerates higher level of agglomeration and industrial growth, which provides a rapid change of industrial structure of the province. Theses research results imply that research and development investment in the Gazelle industry is essential and industrial development strategy should be conducted via step-by-step with business scale quotient (BQ) and industrial growth rate (IG). Meanwhile, there should be a serious policy review whether low-level technology industry is better off for the province compared to high and middle-level technology industries. This study expects that regional industrial policy applying the concept of Gazelle industry can accelerate regional development since the Gazelle industry contributes to the high level of income growth and employment creation.
The purpose of this research is to propose an effective traffic safety countermeasure to reduce both violations of road traffic acts and accident rates related to the driver's characteristics by measuring them using Q analysis method, a microscopic statistics analysis method. As a result, violators of the road traffic act could be divided into five driving characteristics and causers of traffic accident could be classified into six driving characteristics. By understanding these characteristics, We could establish a proper traffic safety countermeasure for each driving characteristic. The accomplishments of this research are as follows: The first, We could classify the decisive driving characteristics, which cause road traffic acts and traffic accidents, into internal and external causes. The relationship between each driver's characteristic and the occurrence of the road traffic act and traffic accident could be recognized more clearly. We could find the dangerous driver samples who have Accidents proneness. The second, As a result of analyzing the characteristics of these factors, We could sort out and suggest countermeasure for reducing violation of road traffic acts and traffic accidents as a priority countermeasure and complementary countermeasure. Finally, transportation companies most closely related to automobile accidents can judge new personnels on the basis of their driving characteristics before hiring, and also apply this principle to the traffic safety education vigorously.
The Journal of Korean Institute of Communications and Information Sciences
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v.30
no.3A
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pp.209-216
/
2005
This paper generally relates to the field of wireless local area networks(WLANs), and more particularly, to AP selection and association methods for the performance of a station. In these days, IEEE 802.11 Wireless LAN network is widely deployed and used as an emerging service to connect high-speed Internet in the public wireless environment. But, if there are many users in hot spot area, they suffer a severe decrease of performance. Thus it needs an association and access control mechanism especially when it is used in the public environment. In this paper, we suggest a selection and association method using Beacon or Probe Response frames based IEEE 802.11. Station selects AP using the information of the capacity area in a Beacon or a Probe Response frame. According to the present paper, an association method for a public WLAN service, which includes a WLAN user terminal and an AP for relaying WLAN communications to and from the user terminal, includes the steps of the user terminal asking the AP's states for access to a radio channel; and the station selects and associates with the AP According to the above-described selection in a high speed wireless Internet service based on public WLAN technologies that are currently in operations. Further, it is possible to improve the efficiency of network management.
Physical and chemical properties of artificial soil produced by firing process were analyzed and compared with normal dry field soil and soil quality standards. Material used for production was water and wastewater treatment sludge, chabizite, and lime. The mixed material was thermally treated in the firing kiln at about $300^{\circ}C$ and $1,000^{\circ}C$, respectively, as per designed process. General properties of the artificial soil were classified as sand by unified soil classification method and similar to the dry-field soil, and even soil conditioning effect were expected when it is mixed properly with normal soil. The artificial soil is high in pH and permeability compared to the dry-field soil. Heavy metal concentrations of the artificial soil met the soil quality standards for the farmland. Overall, the artificial soil was thought to be an appropriate soil which can be returned safely to the nature without significant adverse effect. The cost for the artificial soil production process needs to be lowered for practical application as a sludge treatment, therefore, commercializing of the artificial soil is under review.
The Journal of the Korean life insurance medical association
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v.25
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pp.63-77
/
2006
The definition of 'critical cancer' in critical insurance(CI) is more insurance meanings than medical meanings. The difference between critical cancer of insurance and critical cancer of medical cancer is made difficult problem to the underwriting of insurer, contractor and medical doctor. The limited factors of underwriting in critical cancer of critical insurance as follows: (1) the limitation factors in the definition of 1st item critical cancer in CI 1) the definition differences of meanings in insurer, contractor, and medical doctor 2) the meanings of "the table of malignance" 3) the definition difference between 'critical cancer' and 'a large of medical expense cancer' (2) the limitation factors in the definition of second item critical cancer in CI 1) The limitation in the change of cancer character 2) The missing malignancy in pathological result due to localized cancer 3) The differences in the test result of hospital (3) the limitation factors in the definition of third item critical cancer in CI. 1) the lower items disobey the higher items 2) clinical malignancy of benign cancer pathologically 3) others: (1) low grade of malignant melanoma (2) early prostate cancer. (3) malignancy related HIV (4) all skin cancer excepted malignant melanoma (5) accepted clinically and a medical certificate by medical doctor as critical cancer of premalignant lesion, carcinoma-in-situ, and borderline cancer.
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