• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.203-208
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• 2022

The occurrence of Type 2 Diabetes Mellitus (T2DM) is hoarding globally. All kinds of Diabetes Mellitus is controlled to disrupt over 415 million grownups worldwide. It was the seventh prime cause of demise widespread with a measured 1.6 million deaths right prompted by diabetes during 2016. Over 90% of diabetes cases are T2DM, with the utmost persons having at smallest one other chronic condition in UK. In valuation of contemporary applications of Big Data (BD) to Diabetes Medicare by sighted its upcoming abilities, it is compulsory to transmit out a bottomless revision over foremost theoretical literatures. The long-term growth in medicine and, in explicit, in the field of "Diabetology", is powerfully encroached to a sequence of differences and inventions. The medical and healthcare data from varied bases like analysis and treatment tactics which assistances healthcare workers to guess the actual perceptions about the development of Diabetes Medicare measures accessible by them. Apache Spark extracts "Resilient Distributed Dataset (RDD)", a vital data structure distributed finished a cluster on machines. Machine Learning (ML) deals a note-worthy method for building elegant and automatic algorithms. ML library involving of communal ML algorithms like Support Vector Classification and Random Forest are investigated in this projected work by using Jupiter Notebook - Python code, where significant quantity of result (Accuracy) is carried out by the models.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.271-278
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• 2015

Recently, bit data is difficult to easily collect the desired data because big data is collected via the Internet. Big data is higher than the rate at which the data type and the period of time for which data is collected depending on the size of data increases. In particular, since the data of all different by the intended use and the type of data processing accuracy and computational cost is one of the important items. In this paper, we propose data processing method using a dual-chain in a manner to minimize the computational cost of the data when data is correctly extracted at the same time a multi-layered process through the desired number of the user and different kinds of data on the Internet. The proposed scheme is classified into a hierarchical data in accordance with the intended use and method to extract various kinds of data. At this time, multi-processing and tie the data hash with the double chain to enhance the accuracy of the reading. In addition, the proposed method is to organize the data in the hash chain for easy access to the hierarchically classified data and reduced the cost of processing the data. Experimental results, the proposed method is the accuracy of the data on average 7.8% higher than conventional techniques, processing costs were reduced by 4.9% of the data.

• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.1-6
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• 2018

In smart cities, data from various kinds of sensors are collected and processed to provide smart services to the citizens. Noise information services with noise maps using the collected sensor data from various kinds of ubiquitous sensor networks is one of them. This paper presents a research result which generates three dimensional (3D) noise maps in real-time for smart cities. To make a noise map, we have to converge many informal data which include big image data of geographical Information and massive sensor data. Making such a 3D noise map in real-time requires the processing of the stream data from the ubiquitous sensor networks in real-time and the convergence operation in real-time. They are very challenging works. We developed our own methodology for real-time distributed and parallel processing for it and present it in this paper. Further, we developed our own real-time 3D noise map generation system, with the methodology. The system uses open source softwares for it. Here in this paper, we do introduce one of our systems which uses Apache Storm. We did performance evaluation using the developed system. Cloud computing was used for the performance evaluation experiments. It was confirmed that our system was working properly with good performance and the system can produce the 3D noise maps in real-time. The performance evaluation results are given in this paper, as well.

• Spatial Information Research
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• v.20 no.2
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• pp.137-153
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• 2012

Until now, many indexing methods that can reduce update cost have been proposed for managing massive moving objects. Because indexing methods for moving objects have to be updated periodically for managing moving objects that change their location data frequently. However these kinds indexing methods occur big load that exceed system capacity when the number of moving objects increase dramatically. In this paper, we propose the update frequency reducing method to combine MapReduce and existing indices. We use the update request grouping method for each moving object by using MapReduce. We decide to update by comparing the latest data and the oldest data in grouping data. We reduce update frequency by updating the latest data only. When update is delayed, for the data should not be lost and updated periodically, we store the data in a certain period of time in the hash table that keep previous update data. By the performance evaluation, we can prove that the proposed method reduces the update frequency by comparison with methods that are not applied the proposed method.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.4
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• pp.767-779
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• 2013

A field of privacy protection lacks statistical information about the current status, compared to other fields. On top of that, since it has not been classified as a concrete separate field, the related survey is only conducted as a part of such concrete areas. Furthermore, this trend of being regarded as a part of fields such as informatization, information protection and law will continue in the near future. In this paper, a novel and practical way for collecting and storing a big amout of data from 110,000 privacy policies by data controller is proposed and the real analysis results is also shown. The proposed method can save time and cost compared with the traditional survey-based method while maintaining or even advancing the accuracy of results and speediness of process. The collected big personal data can be used to set up various kinds of statistical models and they will play an important role as a breakthrough of observing the present status of privacy information protection policy. The big data concept is incorporated into the privacy protection and we can observe the method and some results throughout the paper.

• Proceedings of the Korea Concrete Institute Conference
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• 2004.05a
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• pp.304-307
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• 2004

Direct tensile tests were carried out for the tensile members of MMA-modified polymer concrete with different steel kinds and steel diameters and steel ratios to figure out the effect of tensile strength of polymer concrete. In the experiments, MMA-modified polymer concrete with $1000\;kgf/cm^2$ of compressive strength, steel with $5200\;kgf/cm^2$ of tensile strength, and the tensile members with 100 cm of constant length were used. Experimental results showed that, regardless of steel kinds, diameters and steel content, the strain energy exerted by concrete till the initial crack was $14-15\%$ of the total energy till the point of yield: The energy was much larger than the one of high-strength cement concrete. The behaviors of tensile members of MMA-modified polymer concrete were in relatively good agreement with the model suggested by Gupta-Maestrini (1990), which was idealized by the effective tensile stress-strain relationship of concrete and the load-strain relationship of members, while those showed a big difference from CEB-FIP model and ACI-224 equation suggested for the load-displacement relationship that was defined as the cross sectional stiffness of effective axis. Modified ACI-224 model code about the load-displacement relationship for the tensile members of MMA-modified polymer concrete and theoretical equation for the polymer concrete tensile stiffness of polymer concrete suggested through the results of this study are expected to be used in an accurate structural analysis and resign for the polymer concrete structural members.

• Journal of Fashion Business
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• v.17 no.3
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• pp.85-98
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• 2013

Fabric industry has been developing enough to introduce diverse stretch materials to apparel market, so that tightly fitting leggings designs are taking over not only sports wear but also women's clothing. This study is aimed at developing prototype designs for leggings pants using stretch material that are appropriate for the lower part of body being functional, comfortable, and beautiful. As well, the study is intended to be of a reference in manufacturing such products. Some of the most popular leggings on the market in their kinds and materials were primarily selected to be tested in two ways: wear test and appearance test. Again, the test pants went through the same kinds of two tests, which turned out two designs. Finally, the test pants were treated to yield the most desirable prototype design. In conducting all these tests, some major defects causing discomfort and shortcomings of the leggings pants on the market were exposed and through the wear tests, the drawbacks were seen to be complemented in a big way. Thus, it is hopefully expected that this study will serve as a good reference for developing stretch pants.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.3
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• pp.105-114
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• 2012

Various RFID-based smart-walk systems have been developed for guiding disabled people. The system sends appropriate message whenever the disabled people arrived at a specific point. We propose universal design concept and optimization techniques for the smart-walk systems. Universal design concept can be adopted for supporting various kinds of disabled such as a blind person, a hearing-impaired person, or a foreigner in a system. It can be supported by storing appropriate messages set in the message database table depending on the kinds of the disabled. System optimization can be done by analyzing operational log(stream) data accumulated in the system. Useful information can be extracted by analyzing or mining the accumulated operational log data. We show various analysis results from the operational log data.

• Journal of The Korean Society of Agricultural Engineers
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• v.51 no.3
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• pp.15-24
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• 2009

This study tried to develop a tentative evaluation system on greentourism potentials(GTP) of rural villages. The GTP evaluation system consisted of 45 detail criteria within three kinds of large scale criteria, which are human resources of residents capability, amenity resources of tourists attraction, and income resources through exchange activity between rural and urban areas. The evaluation criteria were adapted from several decades existing studies considering the hardware(facility and amenity resources) and software(human resources and programs on tourism)resources in rural villages. Two kinds of test study areas, which are subdivisions of county in a typical rural area(Boori) and an suburbanized area surrounding a big city(Chooboo), located on Keumsan county in Chungnam province, were selected to test the GTP evaluation system. The results showed that the average GTP values of each village in Boori are higher than those of Chooboo, due to higher values in criteria on amenity resources and income resources, which the typical rural area may have higher value in such criteria.

• Journal of the Korean Society of Food Culture
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• v.3 no.2
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• pp.153-162
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• 1988

$D{\acute{o}}ck$ (Korean rice cake) is a peculiar food of Korea made of grain. By means of cooking from, it is defined as 'Pulvberzed food of grain' $D{\acute{o}}ck$ was one of the daily food, but development of boild rice had narrowed it's use to the food of festive days and ceremonies. $D{\acute{o}}ck$ is used as a main food of all Kinds of ceremonies from one's birth to death, such as the Three seven day(a baby's twenty-first day of life), one hunderdth day, birthday, wedding, both brithday, funeral and sacrifical rites, vocational ceremonies, such as a sacrifice to spirits and a srevics for a big catch of fish. It is also used as a present and seasonal food. A large variety of $D{\acute{o}}ck$ is available and its recipe is scientific and reasonable. In this treatise, the Kinds of $D{\acute{o}}ck$ and the frequency of them, the material, the recipe, the measuring unit of material, cooking kitchen utensils and the cooking terms are studied from the books published in Korea from 1670 to 1943. 1. $D{\acute{o}}ck$ was classified as Tcbin $D{\acute{o}}ck$(steamed), Chin $D{\acute{o}}ck$(strikn), Chijin $D{\acute{o}}ck$(fried) and Salmun $D{\acute{o}}ck$(boiled), according to its way of cooking. 2. There were 122 Kinds of $D{\acute{o}}ck$, 57 were Tchin $D{\acute{o}}ck$, 35 Chin $D{\acute{o}}ck$, 20 Chijin $D{\acute{o}}ck$, and 10 Salmun $D{\acute{o}}ck$. 3. There were 34 Kinds of measuring units. Of them, 13 for volume, 4 for weight, 9 for quantity, 4 for length and 4 for the rest. 4. There were 55 Kinds of cooking Kitchen utensils but now many of them are not used because of mechanization or automation of tools of living. 5. There were 143 Kinds of cooking terms. Of them 49 for the preparing process, 25 for the mixing process, 27 for well-forming process 10 for process of getting ready to cook, 14 for heating process, 10 for cutting process, 5 for dishin process and 3 for process of soaking in sugar or honey.