• Clinical and Experimental Pediatrics
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• v.61 no.8
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• pp.231-238
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• 2018

Purpose: Wasting and underweight are the 2 main indicators of children's undernutrition. We aimed to estimate the prevalence of undernutrition at the national level in Iran. Methods: We performed a search for original articles published in international and Iranian databases including MEDLINE, Web of Science, Google Scholar, Scopus, CINHAL (Cumulative Index to Nursing and Allied Health Literature), Scientific Information Database, Irandoc, Iranmedex, and Magiran during January 1989-August 2017. Seven keywords, in English and Persian, including malnutrition, protein energy malnutrition, growth disorders, underweight wasting, weight loss, children below 5 years old, and children, were used to search the databases. Results: Finally, 17 articles were included in the meta-analysis, based on which the prevalence of underweight and wasting in Iranian children were estimated to be 11% and 5%, respectively. The prevalence rates of underweight among children in the central, western, southern, and northern parts of Iran and at the national level were 24%, 5%, 20%, 17%, and 6%, respectively. The prevalence rates of wasting in the central, western, southern, and northern parts of Iran and at the national level were 9%, 4%, 11%, 5%, and 4%, respectively. Conclusion: Although the prevalence of underweight and wasting in Iran was low, some parts of the country showed high prevalence. The main reason behind this difference in the prevalence of malnutrition may be due to the level of development in different regions.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.100-114
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• 2017

Most of the researchers establish research directions to conduct the study of new fields by getting advice from experts or through the papers of experts. The existing academic data search services provide paper information by field but do not provide experts by field. Therefore, users should decide experts by field using the searched papers by themselves. In this paper, we design and implement an expert search system by discipline through big data processing based on papers that have been published in the academic societies. The proposed system utilizes distributed big data storage systems to store and manage large papers. We also discriminate experts and analyze data related to the experts by using distributed big data processing technologies. The processed results are provided through web pages when a user searches for experts. The user can get a lot of helps for the research of a particular field since the proposed system recommends the experts of the corresponding research field.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.22
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• pp.9985-9996
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• 2014

Background and Aim: Laparoscopic and open rectum surgery for rectal cancer remains controversial. This systematic review compared the short-term and long-term efficiency and complications associated with laparoscopic and open resection for rectal cancer. Materials and Methods: We searched PubMed, Embase, Cochrane Library, ISI Web of Knowledge and the China Biology Medicine Database to identify potential randomized controlled trials from their inception to March 31, 2014 without language restriction. Additional articles were identified from searching bibliographies of retrieved articles. Two reviewers independently assessed the full-text articles according to the pre-specified inclusion and exclusion criteria as well as the methodological quality of included trials. The meta-analysis was performed using RevMan 5.2. Results: A total of 16 randomized controlled trials involving 3,045 participants (laparoscopic group, 1,804 cases; open group, 1,241 cases) were reviewed. Laparoscopic surgery was associated with significantly lower intraoperative blood loss, earlier return of bowel movement and reduced length of hospital stay as compared to open surgery, although with increased operative time. It also showed an obvious advantage for minimizing late complications of adhesion-related bowel obstruction. Importantly, there were no significant differences in other postoperative complications, oncological clearance, 3-year and 5-year or 10 year recurrence and survival rates between two procedures. Conclusions: On the basis of this meta-analysis we conclude that laparoscopic surgery has advantages of earlier postoperative recovery, less blood loss and lower rates of adhesion-related bowel obstruction. In addition, oncological outcome is comparable after laparoscopic and open resection for rectal cancer.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.129-130
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• 2018

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Artificial Intelligence" keyword, one month as of May 19, 2018. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Artificial Intelligence" has been found to be technology (4,122). This study suggests theoretical implications based on the results.

• The KIPS Transactions:PartD
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• v.12D no.2 s.98
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• pp.199-210
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• 2005

We need XML generate various kinds of XML data to evaluate XML database systems. Existing XML data generators are developed to generate XML data that are suitable for particular evaluation methods, and their functionalities are limited in terms of generating XML data This paper introduces a new XML data generator, WeXGene, that not only improves the drawbacks of existing data generators but also adds new data generation functionalities. For generating XML data WeXGene uses the user data files and the structure definition files, which specify SDTD(Symbolic DTD) or input parameters. The user data file is a text data file that has column data or row data. It is also possible that WeXGene generates XML data without accessing the user data file. This paper presents the design details, overall system architecture, and data generation process of WeXGene. An analytic comparison with other XML data generators is also presented.

• Journal of KIISE:Databases
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• v.37 no.2
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• pp.113-120
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• 2010

XML is broadly using for data storing and processing. XML is specified its structural characteristic and user can query with XPath when information from data document is needed. XPath query can process when the tern and structure of document and query is matched with each other. However, nowadays there are lots of data documents which are made by using different terminology and structure therefore user can not know the exact idea of target data. In fact, there are many possibilities that target data document has information which user is find or a similar ones. Accordingly user query should be processed when their term usage or structural characteristic is slightly different with data document. In order to do that we suggest a XML document ranking method based on path similarity. The method can measure a semantic similarity between user query and data document using three steps which are position, node and relaxation factors.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.3
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• pp.134-148
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• 2007

There is not enough knowledge on how to use, build, and apply ubiquitous technologies such as the ubiquitous sensor network, GIS, statistic analysis system, mobile GPS system etc. Also there are other questions such as, how should the knowledge information resources be managed and web decision making system developed for national park management. The purpose of this study is to propose a framework for the national park integrated management system based on ubiquitous information technology. This study will include followings: 1) this study explores what ubiquitous information technologies are needed for national park management, 2) this study proposes building strategies about the spatial and attribute database using ubiquitous information technologies, and links methods among geographic information system, analysis program, sensor network, etc. The results of this study will contribute towards deciding a direction for national park policy in preparation for the ubiquitous computing oriented society.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.438-453
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• 2014

This paper proposes a system to translate an RDB into an OWL ontology which enables the users to navigate the ontology in GUI. In order to accomplish the goals mentioned previously, the system overcame two difficulties. First, our system defines a new mapping algorithm to map between DB elements and ontology ones. Comparing with existing solutions, our algorithm is able to generate ontologies from more DB structures. Second, our system provides the same data generated by a reasoner to the users. Note that this operation does not load ABox ontology on a reasoner. In addition, Tableau-based reasoners have the tractability problem on a large ABox (e.g., large ABoxes translated from DBs practically cannot be served). To solve this, our system internally runs SQL queries to retrieve the same data as the one from a reasoner every time ABox elements are queried.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.219-225
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• 2015

There has been an exponential growth in the distribution and possession of sensitive information because of the emergence of various information channels such as smart devices, social media, etc. This enables the internet based web or mobile service operation institutions collecting the more personal information with ease, and in turn causes the issues of the privacy concerns. Followings are the results of this study: First, the information privacy concern has the negative effects upon the trust. Second, the information privacy concern has the negative effects upon the provision intention of personal information and the trust has positive effects upon the offering intention of personal information. At last, the offering intention of the personal information has the positive effects upon the behavior to provide the personal information.

• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.137-143
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• 2012

The learners using learning content through the smart devices can access to the Internet from anytime and anywhere. However, with the rapid increase of learning content on the Web, it will be time-consuming for learners to find contents they really want to and need to study. Therefore, e-learning systems should not only provide flexible content delivery, but support adaptive harmonizing fusion content. The harmonizing fusion content it is a very important in fusion e-learning service. The representative method to provide synchronization between fusion content is a provide absolute time value between of the contents. However, this method is occurs a problem transferring time delay. Also, to enter an absolute time value for the duration of the each content is several problems arise. In this paper introduces a new smart e-smart service support the harmonizing media based technology to create synchronized learning presentation.