• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.6
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• pp.2005-2021
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• 2014

This paper proposes a novel image authentication scheme, aiming at tampering detection for block truncation coding (BTC) compressed image. The authentication code is generated by using the random number generator with a seed, and the size of the authentication code is based on the user's requirement, with each BTC-compressed image block being used to carry the authentication code using the data hiding method. In the proposed scheme, to obtain a high-quality embedded image, a reference table is used when the authentication code is embedded. The experimental results demonstrate that the proposed scheme achieves high-quality embedded images and guarantees the capability of tamper detection.

• Asian Journal of Innovation and Policy
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• v.9 no.1
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• pp.12-35
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• 2020

Quality performance information has been regarded as a significant step toward managing public performance. Although a correlation between the quality of information and its actual usage among managers in high-accountability policy areas has been found, quality performance information has not been properly provided to practitioners. This study takes an Institutional Analysis and Development approach to assess an appropriate institutional framework that facilitates state agencies and academics to coproduce this information. Based on a conceptual framework, we analyze a public information system of the Workforce Data Quality Initiative in Ohio and carry out a content analysis with NVIVO. It is found that arrangements that can manage the incentive dynamic in this process may help to align heterogeneous stakeholders in a mutually supportive fashion. Also, the research agenda and information resulted from being coproduced for management and academic purposes, simultaneously. This use of administrative data sheds light on how quality performance information can be coproduced under an appropriate institutional arrangement between administration and research communities. It is suggested that accessibility to the information system among various stakeholders should be improved.

• Journal of the Korean Graphic Arts Communication Society
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• v.25 no.2
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• pp.15-28
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• 2007

For the color offset printing, it starts with input of data. The past days, drum scanner or flat scanner used to input of data, but now it changes gradually into using of digital camera because digital camera become popular. The high quality digital camera saves as a data(RAW format), sRGB which have built in digital camera, or Adobe RGB format. sRGB of ICC(International Color Consortium) profile is a standard color gamut of digital camera. Distribution of color gamut in sRGB is less than Adobe RGB have a distribution in ICC profile. sRGB also can not be expressed in some specific part, because distribution of color gamut in sRGB is not able to cover all parts in ICC Profile of international standards CMYK. It is more popular to use Adobe RGB than sRGB to do high quality offset printing and software basis color setting in Europe and Japan. In spite of this data basis, there is a difficulty of doing color correction between the color proofing prints and the final prints. To see how the software color setting effects to RGB data, this thesis will use Gretag Macbeth ColorChecker 24 patch which has the most general natural color chart to compare sRGB and Adobe RGB to check the differences of color changes. It will use the several factors that came out from the process of making ICC Profile to figure out the optimum In-house profile. It also compares the differences of using matt paper and glossy paper to do best quality color proof offset printing, and how the Rendering Intent effects the proof print.

• Ocean and Polar Research
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• v.44 no.4
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• pp.287-296
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• 2022

High-frequency (HF) radar measures sea surface currents from the radio waves transmitted and received by antenna on land. Since the data quality of HF radar measurements sensitively depend on the radio wave environment around antenna, Antenna Pattern Measurements (APM) plays an important role in evaluating the accuracy of measured surface currents. In this study, APM was performed by selecting the times when the background noise level around antenna was high and low, and radial data were generated by applying the ideal pattern and measured pattern. The measured antenna pattern for each case was verified with the current velocity data collected by drifters. The radial velocity to which the ideal pattern was applied was not affected by the background noise level around antenna. However, the radial velocity obtained with APM in the period of high background noise was significantly lower in quality than the radial velocity in a low noise environment. It is recomended that APM be carried out in consideration of the radio wave environment around antenna, and that the applied result be compared and verified with the current velocity measurements by drifters. If it is difficult to re-measure APM, we suggest using radial velocity in generating total vector with the ideal pattern through comparative verification, rather than poorly measured patterns, for better data quality.

• Journal of Information Technology Applications and Management
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• v.27 no.4
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• pp.37-48
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• 2020

This research proposes how to enhance low customer satisfaction with health screening services caused by procedural complexity and limits of health screening. The purpose of this study is to identify sub-components of the service quality provided by general health examination centers. This is a qualitative analysis of in-depth interviews of providers and consumers of medical services. The data were primarily analyzed by affinity diagram, and the data were sorted and analyzed according to the criteria suggested by Donabedian's four components. Four types of quality factors and the health screening service quality components of 39 subordinate items were assessed. Components related to the use of IT facilities comprise a significant amount of the physical factors, and there are high demands for IT facilities among customers.

• Journal of Information Processing Systems
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• v.18 no.2
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• pp.173-187
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• 2022

A special government agency has been charged with implementing quality management to guarantee the quality of wild-simulated ginseng. However, these processes are carried out by use of documents, and this has resulted in information omission and high document management costs. To solve this problem, this study analyzed the existing quality management process by using a smart contract for the existing offline form and proposed a new quality management system for storing and managing all log data in the blockchain. This system reduced documentation management costs about quality management and recorded information in the previous step through the quality management steps, thus forming a step-by-step record chain. Experiments were conducted by implementing this system, which improved data integrity and reliability. Additionally, sensitive information, such as personal information, was included in the system by use of the off-chain technology.

• Human Ecology Research
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• v.57 no.2
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• pp.281-293
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• 2019

This study aimed to examine the effects of socially prescribed perfectionism, sleep duration, and sleep quality on suicidal ideation in Korean high school students and to investigate if sleep duration and quality moderated the relationship between socially prescribed perfectionism and suicidal ideation. The participants of this study were 840 students (544 boys and 296 girls) from six high schools located in Seoul and Gyeonggi-do. The Suicidal Ideation Questionnaire (Reynolds, 1988) was used to measure suicidal ideation. And the socially prescribed perfectionism was assessed by the Multidimensional Perfectionism Scale (Hewitt & Flett, 1991). The students were asked to respond to a question regarding how long they slept a day as well as the Sleep Quality Scale (Yi, 2005). The data were analyzed with descriptive statistics and hierarchical regressions. The moderating effect of sleep duration and quality were investigated using the analysis procedures proposed by Baron and Kenny (1986). The results showed that the level of socially prescribed perfectionism and sleep quality increased the level of suicidal ideation. In addition, sleep quality moderated the relationship between socially prescribed perfectionism and suicidal ideation. The effect of socially prescribed perfectionism on suicidal ideation was greater when sleep quality was poor, compared to when it was good.

• Korean Journal of Human Ecology
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• v.8 no.1
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• pp.5-18
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• 2005

The purposes of this study were to identify brand image and advertising image perception maps of domestic make-up products. A self-administered questionnaire was used for data collection. KYST, CORAN and SPSS PC(Ver. 12.0) were used for data analysis. The results were as follows: 1. Brand images of Etude, Isa Knox, and Laneige were perceived as unique, stimulative, high quality, elegant, modern, and sophisticated. Brand image of Cathycat was perceived highly in high quality, elegant, modern, and sophisticated, but low in unique and stimulative. Brand image of Lac Vert was perceived high in unique and stimulative, but low in high quality, elegant, modern, and sophisticated. Brand images of Hercyna and Vov were the lowest. 2. Advertisement images of Etude was perceived as modern, sophisticated, familiar, and unique, but Lac Vert was perceived adversely, Advertising images of Laneigne and Isa Knox were high in modern, sophisticated and familiar, but low in uniqueness. And advertising images of Hercyna, Cathycat, and Vov were perceived as modern, sophisticated, and familiar.

• Geophysics and Geophysical Exploration
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• v.22 no.3
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• pp.116-131
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• 2019

In order to obtain high-quality high-resolution marine seismic data, the survey needs to be carried out at very low-sea condition. However, the survey is often performed with a slight wave, which degrades the quality of data. In this case, it is possible to improve the quality of seismic data by detecting the exact location of the sea bottom signal and eliminating the influence of waves or swells automatically during data processing. However, if noise is included or the sea bottom signal is weakened due to sea waves, sea bottom detection errors are likely to occur. In this study, we applied a method reducing such errors by estimating the sea bottom location, setting a narrow detection range and detecting the sea bottom location within this range. The expected location of the sea bottom was calculated using previously detected sea bottom locations for each channel of multi-channel data. The expected location calculated in each channel is also compared and verified with expected locations of other channels in a shot gather. As a result of applying this method to the noisy 8-channel high-resolution air-gun seismic data acquired off Yeosu, the errors in selecting the strong noise before sea bottom or the strong subsurface reflected signal after the sea bottom signal are remarkably reduced and it is possible to produce the high-quality seismic section with the correction of ~ 2.5 m swell effect.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.9
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• pp.3151-3168
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• 2021

Internet of Things (IoT) connects several objects with embedded sensors and they are capable of exchanging information between devices to create a smart environment. IoT smart devices have limited resources, such as batteries, computing power, and bandwidth, but comprehensive sensing causes severe energy restrictions, lowering data quality. The main objective of the proposal is to build a hybrid protocol which provides high data quality and reduced energy consumption in IoT sensor network. The hybrid protocol gives a flexible and complete solution for sensor selection problem. It selects a subset of active sensor nodes in the network which will increase the data quality and optimize the energy consumption. Since the unused sensor nodes switch off during the sensing phase, the energy consumption is greatly reduced. The hybrid protocol uses Dijkstra's algorithm for determining the shortest path for sensing data and Ant colony inspired variable path selection algorithm for selecting active nodes in the network. The missing data due to inactive sensor nodes is reconstructed using enhanced belief propagation algorithm. The proposed hybrid method is evaluated using real sensor data and the demonstrated results show significant improvement in energy consumption, data utility and data reconstruction rate compared to other existing methods.