• Asian Pacific Journal of Cancer Prevention
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• v.16 no.13
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• pp.5549-5556
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• 2015

Background: Cancer has important social consequences with cancer registration as the basis of moving towards prevention. The present study aimed to estimate the completeness of registration of the ten most common cancers in patients referred to selected hospitals in Shiraz, Iran by using capture-recapture method. Materials and Methods: This cross-sectional analytical study was performed in 2014 based on the data of 2009, on a total of 4,388 registered cancer patients. After cleaning data from two sources, using capture-recapture common findings were identified. Then, the percentage of the completeness of cancer registration was estimated using Chapman and Chao methods. Finally, the effects of demographic and treatment variables on the completeness of cancer registration were investigated. Results: The results showed that the percentages of completeness of cancer registration in the selected hospitals of Shiraz were 58.6% and 58.4%, and influenced by different variables. The age group between 40-49 years old was the highest represented and for the age group under 20 years old was the lowest for cancer registration. Breast cancer had the highest registration level and after that, thyroid and lung cancers, while colorectal cancer had the lowest registration level. Conclusions: According to the results, the number of cancers registered was very few and it seems that factors like inadequate knowledge of some doctors, imprecise diagnosis about the types of cancer, incorrectly filled out medical documents, and lack of sufficient accuracy in recording data on the computer cause errors and defects in cancer registration. This suggests a necessity to educate and teach doctors and other medical workers about the methods of documenting information related to cancer and also conduct additional measures to improve the cancer registration system.

• Journal of Information Management
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• v.42 no.1
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• pp.221-244
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• 2011

Many records and documents are produced during the process of functions of local councils such as resolution, monitoring and balancing function, representation for the residents, Such records of local councils have importance in terms of objective basis and standards for local policy building and making. The most essential records among these are those of local councils assembly. The fundamental function of local councils is the assembly of individual members of the council and standing committees. For this, the author firstly reviewed the current management system of local council assembly records focusing on Daejeon Yuseonggu Council and conducted researches and interviews with the officers responsible for record keeping. And finally, the author analyzed such researches and findings. From this analysis, the author discovered the problems in the management of record keeping and suggested the improvement for the systematic management firstly in terms of institutional aspects and secondly in terms of the stages of record keeping and management based on ISO 15489, the international standard for information and documentation, records management.

• Journal of The Korean Society of Clinical Toxicology
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• v.12 no.1
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• pp.1-7
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• 2014

Purpose: The purpose of this study is to find differences in the demographics of toxic exposed patients and substance between call based poison information data and hospital based poison information data. Methods: Seoul 1339 call-response data were used as call based poison data and toxic related injury surveillance data of the Korean center for disease control and prevention (KCDC) were used as hospital based poison data. Age, sex, the kind of exposed substance, reasons for exposure, and exposure routes were compared between two data sets. We analyzed the presence or not of documentation on the name and amount of exposed substance, symptoms after exposure in call based poison data. Results: Seoul1339 poison data included a total of 2260 information related to toxic exposure and KCDC poison data included 5650 poison cases. There was no difference in sexual distribution. Pediatric exposure and accidental exposure were more common in call based poison data. The most common exposed substances were household products in call based poison data and medicines in hospital based poison data, respectively. Documents regarding amount and time of toxic exposure and symptoms after toxic exposure were not recorded exactly in call based poison data. Conclusion: There were significant differences in age, reasons for toxic exposure, and the kinds of exposed substances. Poison information data from both pre-hospital and hospital must be considered.

• Proceedings of the Korean Geotechical Society Conference
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• 2004.03b
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• pp.946-951
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• 2004

ITIS is applied to the several tunnel construction sites in Korea. Tunnel construction properties which are acquired from these sites are transferred to information management server(SQL 2000 server)by client application program in real time. Access permission to DB server depends on the user's roles. Some functions which cannot be embodied in SQL Server are serviced through XML and GMS server is used for spatial data based on GIS part. This system is supposed to give engineers the advantages which are not only easy handling of the program and computerized documentation on every information during construction but also analyzing the acquired data in order to predict the structure of ground and rock mass to be excavated later and show the guideline of construction. Neung-Dong tunnel and Mu-Gua express way tunnel are now under construction and with this system they have 3D visualized map of the geology and tunnel geometry and accumulate database of construction information such as tunnel face mapping results, special notes and pictures of construction and 3D monitoring data, all matters on the stability of rock bolts and shotcrete, and so on. Ground settlement prediction program included in ITIS, based on the artificial neural network(ANN) and supported by GIS technology is applying to the subway tunnel. This prediction tool can make it possible to visualize the ground settlement according to the excavation procedures by contouring the calculated result on 3D GIS map and to assess the damage of buildings in the vicinity of construction site caused by ground settlement.

• Journal of Information Technology and Architecture
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• v.9 no.4
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• pp.423-432
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• 2012

EA (Enterprise Architecture) is an SI (System Integration) approach, i.e., a comprehensive plan for SI, which shows the elements of SI and the relationships among them. Since EA can be utilized in every stages of SI, the more large-scaled and complicated SI projects are, the more important EA is. Although many central government agencies and wide local governments implemented EA, the current level of EA utilization is still low. One of the reasons is the low level of EA updating. Some reasons of the low level of EA updating are the low frequency of EA updating, and the shortage of workers, as well. In order to improve the frequency of EA updating and alleviate the workloads of SI officers, MLTM (Ministry of land, transport, and maritime affairs) standardized the processes and documents for SI projects, and implemented PMS (Project Management System) that can support the unifying management of SI projects and be connected with EA system. We expect that EA information are updated efficiently, the level of EA utilization is boosted, and the qualities of SI products are improved, by the implementation of the PMS connected with EA system.

• Journal of IKEEE
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• v.8 no.2 s.15
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• pp.186-194
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• 2004

Due to the exponential growth of information on the internet, it is getting difficult to find and organize relevant informations. To reduce heavy overload of accesses to information, automatic text classification for handling enormous documents is necessary. In this paper, we describe structure and implementation of a document classification system for web documents. We utilize SVM for documentation classification model that is constructed based on training set and its representative terms in a directory. In our system, SVM is trained and is used for document classification by using word set that is extracted from information and communication related web documents. In addition, we use vector-space model in order to represent characteristics based on TFiDF and training data consists of positive and negative classes that are represented by using characteristic set with weight. Experiments show the results of categorization and the correlation of vector length.

• Journal of Navigation and Port Research
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• v.29 no.10 s.106
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• pp.907-913
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• 2005

The rapid growth of economy in china leads to concentrate throughput volume of World to North East Asia. Ports in North East Asia have to cope with rapid changes in environments. In order for a port to compete in the global market, it must provide proper productivity and promptly services of port. The system of information hold a key in port-logistic industries. Most ports make every effort to set up and operate the system of Information. Busan port already set up the system of port-logistic information such as Port-MIS, KROIS. But it is not activated yet because of problems of documentation duplication and system connectivity and so on. The purpose of this research is to make a model which can activate the system of port-logistic information. In addition, We suggest a definite and feasible model by group and types of port-logistic industry.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.31-42
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• 2022

The purpose of this study is to analyze the reference data of the National R&D Report database built by the Korea Institute of Science and Technology Information(KISTI) to derive problems and to find complementary points for the construction technical items in the system. To this end, we investigated the descriptions of references in the National R&D Report constructed in the KISTI DB and analyzed the construction process, guidelines, types, items, etc. Based on this, the appropriateness and accuracy of the classification results of the reference types constructed with the DB were checked. As a result, the problems of the items built into the system and corrections to the construction guidelines were derived. Through this, database construction can proceed efficiently and data quality is expected to improve. In addition, a follow-up study was proposed on the convergence service plan that can be provided in the future through standardization of technical regulations.

• Nuclear Engineering and Technology
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• v.52 no.7
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• pp.1355-1366
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• 2020

A review of the documentation and an interpretation of the NEA-1517/74 and NEA-1517/80 shielding benchmarks (measurements of photon leakage flux from a hollow sphere with a central 14 MeV neutron source) from the SINBAD database with the Monte Carlo code MCS and the most up-to-date ENDF/B-VIII.0 neutron data library are conducted. The two analyzed benchmarks describe satisfactorily the energy resolution of the photon detector and the geometry of the spherical samples with inner beam tube, tritium target and cooling water circuit, but lack information regarding the detector geometry and the distances of shields and collimators relatively to the neutron source and the detector. Calculations are therefore conducted for a sphere model only. A preliminary verification of MCS neutron-photon calculations against MCNP6.2 is first conducted, then the impact of modelling the inner beam tube, tritium target and cooling water circuit is assessed. Finally, a comparison of calculated results with the libraries ENDF/B-VII.1 and ENDF/B-VIII.0 against the measurements is conducted and shows reasonable agreement. The MCS and MCNP inputs used for the interpretation are available as supplementary material of this article.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.6
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• pp.15-29
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• 2018

This paper proposes an enhanced object tracking algorithm to compensate the lack of temporal information in existing particle swarm optimization based object trackers using the trajectory of the target object. The proposed scheme also enables the tracking and documentation of the location of an online updated set of distractions. Based on the trajectories information and the distraction set, a rule based approach with adaptive parameters is utilized for occlusion detection and determination of the target position. Compare to existing algorithms, the proposed approach provides more comprehensive use of available information and does not require manual adjustment of threshold values. Moreover, an effective weight adjustment function is proposed to alleviate the diversity loss and pre-mature convergence problem in particle swarm optimization. The proposed weight function ensures particles to search thoroughly in the frame before convergence to an optimum solution. In the existence of multiple objects with similar feature composition, this algorithm is tested to significantly reduce convergence to nearby distractions compared to the other existing swarm intelligence based object trackers.