• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.127-133
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• 2021

In industrial IoT environments, sensors generate data for their detection targets and deliver the data to IoT gateways. Therefore, managing large amounts of real-time sensor data is an essential feature for IoT gateways, and key-value storage engines are widely used to manage these sensor data. However, key-value storage engines used in IoT gateways do not take into account the characteristics of sensor data generated in industrial IoT environments, and this limits the performance of key-value storage engines. In this paper, we optimize the key-value storage engine by utilizing the features of sensor data in industrial IoT environments. The proposed optimization technique is to analyze the key, which is the input of a key-value storage engine, for further indexing. This reduces excessive write amplification and improves performance. We implement our optimization scheme in LevelDB and use the workload of the TPCx-IoT benchmark to evaluate our proposed scheme. From experimental results we show that our proposed technique achieves up to 21 times better than the existing scheme, and this shows that the proposed technique can perform high-speed data ingestion in industrial IoT environments.

• Journal of the Korean Society for information Management
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• v.23 no.2
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• pp.265-285
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• 2006

In text categorization a certain level of correctness of labels assigned to training documents is assumed without solid knowledge on that of real-world collections. Our research attempts to explore the quality of pre-assigned subject categories in a real-world collection, and to identify the relationship between the quality of category assignment in training set and text categorization performance. Particularly, we are interested in to what extent the performance can be improved by enhancing the quality (i.e., correctness) of category assignment in training documents. A collection of 1,150 abstracts in computer science is re-classified by an expert group, and divided into 907 training documents and 227 test documents (15 duplicates are removed). The performances of before and after re-classification groups, called Initial set and Recat-1/Recat-2 sets respectively, are compared using a kNN classifier. The average correctness of subject categories in the Initial set is 16%, and the categorization performance with the Initial set shows 17% in $F_1$ value. On the other hand, the Recat-1 set scores $F_1$ value of 61%, which is 3.6 times higher than that of the Initial set.

• Progress in Medical Physics
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• v.21 no.1
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• pp.93-98
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• 2010

The aim of this work was to establish the methodology for event positioning by measuring depth of interaction (DOI) information and to evaluate the system sensitivity and spatial resolution of the new detector for I-125 and Tc-99m imaging. For this purpose, a Monte Carlo simulation tool, DETECT2000 and GATE were used to model the energy deposition and light distribution in the detector and to validate this approach. Our proposed detector module consists of a monolithic CsI(Tl) crystal with dimensions of $50.0{\times}50.0{\times}3.0\;mm^3$. The results of simulation demonstrated that the resolution is less than 1.5 mm for both I-125 and Tc-99m. The main advantage of the proposed detector module is that by using 3 mm thick CsI(Tl) with maximum-likelihood position-estimation (MLPE) method, high resolution I-125 imaging and high sensitivity Tc-99m imaging are possible. In this paper, we proved that our new detector to be a reliable design as a detector for a multi-energy SPECT.

• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.165-193
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• 2022

It can be said that digital technology is at the center of the change in the modern work environment. In particular, in general public institutions that prove their work with records produced by business management systems and document production systems, the record management system is also the work environment itself. Gimpo City applied for the 2021 public cloud leading project of the National Information Society Agency (NIA) to proactively respond to the 4th industrial revolution technology era and implemented a public cloud-based AI-OCR technology enhancement project with 330 million won in support of 330 million won. Through this, it was converted into data beyond the limitations of non-electronic records limited to search and image viewing that depend on standardized index values. In addition, a 98% recognition rate was realized by applying a new technology called AI-OCR. Since digital technology has been used to improve work efficiency, productivity, development cost, and record management service levels of internal and external users, we would like to share the direction of enhancing expertise in the record management and implementation of work environment innovation.

• Journal of the Korean Society for information Management
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• v.2 no.2
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• pp.115-149
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• 1985

The classification systems generally used in library are for the external information such as books and periodicals, so it is difficult to apply them to the internal information of specific organization such as documents and records. Therefore, it is necessary for the information centers of any enterprise or specific organization to found the Record Management System (RMS), and to develop and use the specific classification system which is called the coding system for internal information. Documents and components of nuclear power plant are controlled by coding (numbering) system, but they are different each other greatly. So the coordination of work and the cross reference between components and documents are difficult. In this paper, the unified Record Management Coding System is developed for Nuclear Power Plant unit 7 & 8 in Korea on the basis of the existing document and component coding system. The expected effects are the easy cross reference between components and documents, the effective coordination of work and the consistence of central file.

• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.23-33
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• 2014

The development of the information retrieval field is evolving to the research field searching accurately for the information from thing finding rapidly a large amount of information. Personalization and the semantic web technology is a key technology. The automatic indexing technology about the web document and throughput go beyond the research stage and show up as the practical service. However, there is a lack of research on the document information retrieval field about the attached document type of except the web document. In this paper, we illustrate about the method in which it analyzed the text content of the unstructured documents prepared in the text, word, hwp form and it how to construction OWL ontology. To build TBox of the document ontology and the resources which can be obtained from the document is selected, and we implement with the system in order to utilize as the instant of the constructed document ontology. It is effectually usable in the information retrieval and document management system using the semantic technology of the correspondence document as the ontology automatic construction of this kind of the unstructured documents.

• Journal of the Korea Convergence Society
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• v.6 no.1
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• pp.77-83
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• 2015

Though the SNA (social network analysis ; SNA) has been used for various fields, esp. social science field, ig. politics, journalism, and science of public administration as well as natural science field, there are few studies about the introduction of analysis tools. In order to perform the SNA, collecting data which are fit for the purpose, statistical values deduction and visualized results made by analysis tool are necessary, but the studies, which explain them systematically, are not sufficient yet. So, in this study, we are intended to introduce the analytic process, from the data input to the interpretation, with proven data. using the R program, which is free, in order to help researchers who have any plan to study using the SNA. The proven data in this study are quoted ones in the domestic scientific journals of food, which are those supplied citation index DB of Korean scientific journals. As a study methodology, the SNA is a new paradigm to substitute existing research methods as well as a complement of statistical analysis. Therefore, this study would contribute to vitalization of the SNA.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2383-2389
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• 2011

Ubiquitous applications require hybrid continuous query processing which processes both on-line data stream and spatial data in the disk. In the hybrid continuous spatial query processing, disk access costs for the high-volume spatial data should be minimized. However, previous indexing methods cannot reduce the disk seek time, because it is difficult that the data are stored in contiguity with others. Also, existing methods for the space-filling curve considering data cluster have the problem which does not cluster available data for queries. Therefore, we propose the region storage structure for efficient data access in hybrid continues spatial query processing. This paper shows that there is an obvious improvement of query processing costs through the contiguous data storing method and the group processing for user queries based on the region storage structure.

• Journal of Korean Medical classics
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• v.18 no.4 s.31
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• pp.15-26
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• 2005

통과연구(通過硏究)${\ulcorner}$의학입문(醫學入門)${\lrcorner}$중대어삼음삼양각자이육기배속원리(中對於三陰三陽各自以六氣配屬原理), 육기납지(六氣納支), 절기방위(節氣方位), 표본음양속성(標本陰陽屬性), 경맥납지(經脈納支), 맥체(脈體), 치법(治法), 중기등진행분류급고찰(中氣等進行分類及考察), 득출결론여하(得出結論如下) : 1. 삼음삼양적속성여지지적배속불일치(三陰三陽的屬性與地支的配屬不一致). 태양화궐음수연이지지여진술화사해(太陽和厥陰雖然以地支與辰戌和巳亥), 인신상배속(寅申相配屬), 단시실제상표본적음양속성여납지적원리시부동적(但是實際上標本的陰陽屬性與納支的原理是不同的). 인차(因此), 재구별표본음양적특성상(在區別標本陰陽的特性上), 절기(節氣), 방위등불능성위일정기준(方位等不能成爲一定基準). 2. 삼음삼양본기적오행속성화경맥납지(三陰三陽本氣的五行屬性和經脈納支), 유가능불일치(有可能不一致). 양명조금지본(陽明操金之本), 불시수양명대장(不是手陽明大腸), 실제상족양명위재시본(實際上足陽明胃才是本), 소양상화지본(少陽相火之本), 역불시수소양삼초(亦不是手少陽三焦), 실제상족소양담재본(實際上足少陽膽才本). 3. 삼음삼양안조종화규율기치법각이(三陰三陽按照從化規律其治法各異). 제일(第一), 표여본적음양속성상반시용반치법(標與本的陰陽屬性相反時用反治法). 소음본열표한(少陰本熱標寒), 태양본한표열(太陽本寒標熱), 차한열부정(且寒熱不定), 고태양열인한용(故太陽熱因寒用), 이소음한인열용(而少陰寒因熱用). 제이(第二), 표여본적음양속성상동시용정치법(標與本的陰陽屬性相同時用正治法). 태음표본균한(太陰標本均寒), 소양표본균열(少陽標本均熱), 고태음한인한용(故太陰寒因寒用), 색인색용(塞因塞用), 이소양통인통용(而少陽通因通用). 제삼(第三), 표여본적음양속성상반(標與本的陰陽屬性相反), 차여중기적음양속성부동시(且與中氣的陰陽屬性不同時), 불능용정치혹반치법(不能用正治或反治法), 응구종어중진행치료(應驅從於中進行治療). 즉불능구니어궐음화양명적소정치법(卽不能拘泥於厥陰和陽明的所定治法), 응수기종중진행치료(應隨機從中進行治療). 4. ‘소음태양(少陰太陽) 종본종표(從本從標)’ 재응용어치료시(在應用於治療時), 가해석여하(可解釋如下): 제일(第一), 혹자종본(或者從本), 혹자종표(或者從標). 제이(第二), 혹자종본(或者從本), 혹자종표(或者從標), 단치료상유기선후지별(但治療上有其先後之別). 제삼(第三), 소음한인열용(少陰寒因熱用). 태양열인한용(太陽熱因寒用), 고동시구종어표본(故同時驅從於標本). 5. 재(在)‘양명궐음(陽明厥陰) 부종표본(不從標本) 종호중(從乎中)’적(的)‘종호중(從乎中)’, 가이해위재치법운용중가이(可理解爲在治法運用中可以)‘수기취중(隨機取中)’지의(之意).

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.371-382
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• 2017

This study aims to analyze the research trend of cultural policy-related papers based on 832 key words among 186 whole articles in the Journal of Cultural Policy by the Korea Culture & Tourism Institute from October 2008 to January 2017. The analysis was performed using a big data analysis technique called the Semantic Network Analysis. The Semantic Network Analysis consists of frequency analysis, density analysis, centrality analysis including degree centrality, betweenness centrality, and eigenvector centrality. Lastly, the study shows a figure visualizing the results of the centrality analysis through Netdraw program. The most frequently exposed key words were 'culture', 'cultural policy/administration', 'cultural industry/cultural content', 'policy', 'creative industry', in the order. The key word 'culture' was ranked as the first in all the analysis of degree centrality, betweenness centrality and eigenvector centrality, followed by 'policy' and 'cultural policy/administraion'. The key word 'cultural industry/cultural content' with very high frequency recorded high points in degree centrality and eigenvector centrality, but showed relatively low points in betweenness centrality.