• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.342-347
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• 2022

On Cloud, the important data of the user that is protected on remote servers can be accessed via internet. Due to rapid shift in technology nowadays, there is a swift increase in the confidential and pivotal data. This comes up with the requirement of data security of the user's data. Data is of different type and each need discrete degree of conservation. The idea of data security data science permits building the computing procedure more applicable and bright as compared to conventional ones in the estate of data security. Our focus with this paper is to enhance the safety of data on the cloud and also to obliterate the problems associated with the data security. In our suggested plan, some basic solutions of security like cryptographic techniques and authentication are allotted in cloud computing world. This paper put your heads together about how machine learning techniques is used in data security in both offensive and defensive ventures, including analysis on cyber-attacks focused at machine learning techniques. The machine learning technique is based on the Supervised, UnSupervised, Semi-Supervised and Reinforcement Learning. Although numerous research has been done on this topic but in reference with the future scope a lot more investigation is required to be carried out in this field to determine how the data can be secured more firmly on cloud in respect with the Machine Learning Techniques and cryptographic methods.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.39 no.3
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• pp.117-124
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• 2002

A high speed data link capability is one of the critical factors in determining the performance of the spaceborne SAR system with high resolution because of the strict requirement for the real-time data transmission of the massive SAR data in a limited time of mission. In this paper, based on the data link model characterized by the spaceborne small SAR system, the high rate multi-channel data link module is designed including link storage, link processor, transmitter, and wide-angle antenna. The design results are presented with the performance analysis on the data link budget as well as the multi-mode data rate in association with the SAR imaging mode of operation from high resolution to the wide swath. The designed data link module can be effectively used for the spaceborne and airborne applications which requires to expand the high speed data link capability.

• Journal of Korea Spatial Information System Society
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• v.2 no.1 s.3
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• pp.91-107
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• 2000

Geographic Information Systems(GISs) generally use a very large amount of spatial data. and are implemented on various software and hardware system. If it is impossible to exchange the spatial data efficiently among the different hardware, software, and operation systems, data sharing will be very difficult and duplicated storage & management of the spatial data will result in a great economic loss. To solve such problems, a national organization established a national standard for GIS and constructed spatial databases at the national level. In Korea, SDTS(Spatial Data Transfer Standard) is selected as a national standard for the common data transfer format. In this paper, we design and implement a SDTS Data Management System which can support display, insertion, update, deletion of SDTS data, extraction and creation of a specified area, error checking and reporting, setting and verification of a SDTS profile through the GUI (Graphic User Interface) environment. Hereafter, as GIS industry is continually activated and a demand for the SDTS data increases, a requirement for analysis and trust of the SDTS data will grow bigger, so the necessity of the SDTS Data Management System developed in this paper will also grow rapidly.

• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.829-840
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• 2007

Dirty Data Cleansing technique so far have aimed to integrate large amount of data from various sources and manage data quality resided in DB so that it enables to extract meaningful information. Prompt response to varying environment is required in order to persistently survive in rapidly changing business environment and the age of limitless competition. As system requirement is recently getting complexed, Service Oriented Architecture is proliferated for the purpose of integration and implementation of massive distributed system. Therefore, SOA necessarily needs Data Exchange among services through Data Cleansing Technique. In this paper, we executed quality management of XML data which is transmitted through events between services while they are integrated as a sole system. As a result, we developed Dirty Data Cleansing Service based on SOA as focusing on data cleansing between interactive services rather than cleansing based on detection of data error in DB already integrated.

• The Journal of the Korea Contents Association
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• v.9 no.5
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• pp.61-75
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• 2009

Generally, the development of the database application includes the requirement analysis phase of creating ERD (Entity Relationship Diagram) and process models, coding, and testing. From the above phases, the analysis phase is not most formalized. It is usually hard task because (1) customers don't know the details of the desired system; (2) developers can't with ease understand the business logic of the customers; (3) the outcomes of the analysis, which are ERD and process models, are not easy to understand to the customers. This paper propose that the executional forms, which are better to understand the systems, should be presented to the customers instead of the ERD. These forms should accept the data input so that customers can review the various aspects of the outcome models. The developers should be able to instantly implement the business logic and also should be able to visually demonstrate the logic in order to get the details of it. For this goal, the customer supplied business logic should be able to be implemented by the references between forms, actions, constraints from the perspective of the data flow. The customers try to execute the forms implementing the business logic and review their supplied logic find new necessary business logic of their own. Iterating these processes for the requirement analysis would result in the success of the analysis which is sufficiently detailed without conflicts.

• Journal of Navigation and Port Research
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• v.38 no.3
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• pp.227-232
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• 2014

There are three essential components of eLoran: dLoran, data map of ASF, and the Loran data channel. Particularly, dLoran improves navigation accuracy, which is the core technology of eLoran systems. The requirement of HEA's absolute accuracy, less than 20 meters, can be satisfied via dLoran measurements and their corrections. In this study, dLoran measurements using the Pohang Loran-C (9930M) station signal were conducted at Yeongil Bay. We established a dLoran reference station at Homigot Management Office for navigation aids within the Bay. We estimated the effectiveness of the dLoran between the reference site (Homigot Management Office) and a test site (Heunghwan beach) by measuring TOAs. We verified that the TOA data measured at these two regions were highly correlated. The temporal differences in the data between the dLoran reference station and test site were about 10~30 ns per day, which is equivalent to a ranging error of 3~9 m. This result shows that eLoran can meet the requirement of 8~20 meters position accuracy for maritime HEA by correcting the ASF at the user's receiver.

• Korean Journal of Community Nutrition
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• v.21 no.2
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• pp.190-199
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• 2016

Objectives: The purpose of this study was to identify the differences in nutrient intake according to using diuretics, symptom severity and degree of physical functioning in heart failure patients. Methods: A secondary data analysis was conducted by using baseline data of an intervention study for heart failure patients. In this study, 131 heart failure patients were included. Data were collected using medical records, NYHA (New York Heart Association functional classification) class, and 6-minute-walking test and 24-hour diet recall. Data were analyzed using descriptive statistics and Chi-square test by SPSS 21.0. Nutrient intake was assessed using CAN-pro 2.0. Results: Majority of the participants consumed total calorie less than Estimated Energy Requirement (EER) and consumed carbohydrates more than 65% of their total calorie intakes. 24.4% of the participants consumed fat more than 30% of their total calorie intakes and 23.7% consumed saturated fat more than 7% of their total calorie intakes. 100.0% of the participants consumed protein less than 7% of their total calorie intakes and 73.3% of the participants consumed more than recommended intakes of sodium. More than 90.0% of the participants consumed less than adequate intakes of potassium (90.1%) and Vitamin D (91.6%), respectively. 100% and 62.6% of the participants consumed less than Estimated Average Requirement (EAR) of magnesium and Vitamin $B_1$, respectively. Nutrient intakes in heart failure patients were different for potassium intake according to the usage of diuretics. The participants with symptom severity tended to intake protein less properly and the participants walking more than 300.0 m tended to intake sodium improperly high. Conclusions: The findings of this study indicated the need for screening nutrient intakes of heart failure patients. It is necessary to increase the intake of total calories and most nutrients and to restrict sodium intakes among heart failure patients.

• Journal of Society of Preventive Korean Medicine
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• v.6 no.2
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• pp.1-18
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• 2002

The subjects were 420 workers who received oriental and western health examination both in the workplaces for 1 month. This study was planned for the reflection of western health examination results through evaluation of Sasang constitution with use of data from western health examination, and for the presentation of basic data applicable to constitutional medicine with preventive medicine. Data that were collected in field research were analyzed into frequencies, One-Way ANOVA, Chi-square testing by the study purposes, and the research results were as follows: 1. The distribution of Sasang constitution in 420 subjects was Taeumin > Soumin > Soyangin, and the general characteristics of subject by Sasang constitution were no significant difference. 2. For the measured values for body by the subject of Sasang constitution, Taeumin had higher value for height, body weight, systolic and diastolic blood pressure than other 2 constitutions. Soumin had the lowest values in average for all items, and on the other hand, Soyangin had high pulse pressure compared to other constitutions. It was significant difference between constitutions. 3. For the hematological average, Taeumin had high average for FBS, Total-C, GPT, and Taeumin ,and Soyangin had high in Hb compared to Soumin. Soyangin had the highest average for ${\gamma}-GPT$, and there were significant differences between FBS, Total-C, Hb, GPT, ${\gamma}-GTP$, excepting for GOT. 4. For the result of health examination by the Sasang constitution of subject, Taeumin showed the highest percentage in the items of obesity, primary care, secondary suspicion, and showed significant difference by the constitution. For the distribution of the past disease history by the health examination result of Sasang constitution, Taeumin and Soumin had high prevalence rate for hypertension, liver disease, and Soyangin had high prevalence rate for liver disease, hypertension. For the requirement of lifestyle improvement to the subject, the highest requirements by the Sasang constitution were physical exercise for Soumin, regulation of body weight for Taeumin, and it showed significant difference. For the requirement of primary care by the constitution, the highest requiremetns were obesity control for Taeumin, blood pressure control for Soumin, Soyangin, and liver suspicion was the highest distribution for each constitution in the case of having decision for secondary suspicion.

• Journal of Korean Society of Rural Planning
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• v.11 no.4 s.29
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• pp.75-91
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• 2005

This study designs an integrated data architecture to systematically manage the agricultural statistics database. Managing the agricultural statistics is important since it provides data for policies and decision making for agribusinesses. Ministry of Agriculture and the National Statistical Office collect the basic agricultural statistic data which provides the basis of logical decision making and agricultural policies. However, the agricultural statistic data has not well been used. The data has not been consistently collected nor managed. The raw data has not been organized nor processed to meet various demands. The needs has been arisen for a consistent agricultural statistics system to increase the relevance, accessibility, and efficiency of data for various users. There are massive amount of data accumulated over a long time period. Introducing the new system and reorganizing the data will bear large risks. A systematic method is required to reduce the risks in planing, building, and maintaining the database without hindering administration. This study provides a design of the agricultural statistics system architecture based on the user requirement analysis (URA) and similar systems abroad. We have also build a prototype to check the implementability of the system design.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.165-166
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• 2017

It is demanding to receive information of data in real time anywhere and analyze it with meaningful data. Research on the platform for such analysis is actively underway. In this paper, we try to find out what are important factors in solving the problems of collecting and analyzing IoT data in real time. How much better than existing data collection methods and analytical methods can be the basis for judging the value of the data. It is important to accurately collect and store data more quickly and quickly from many sensors in real time in real time, and analytical methods that can derive values from the stored data. Therefore, an important requirement of the analysis platform in the IoT environment is to process large amount of data in real time and to centralize and manage it.