• KIPS Transactions on Computer and Communication Systems
• /
• v.1 no.2
• /
• pp.71-78
• /
• 2012

The digital tachograph is a device that automatically records speed and distance of a vehicle, together with the driver's activity and vehicle status at an accident. It records vehicle speed, break status, acceleration, engine RPM, longitude and latitude of GPS, accumulated distance, and so on. European Commission regulation made digital tachographs mandatory for all trucks from 2005. Republic of Korea made digital tachographs mandatory for all new business vehicles from 2011 and is widening the range of vehicles that must install digital tachographs year by year. This device is used to analyze driver's daily driving information and car accidents. Under a car accident that makes the device reliability unpredictable, it is very important to store driving information with maximum reliability for its original mission. We designed and implemented a practical digital tachograph. This paper presents a storage scheme that consists of a first storage device with small capacity at a high reliability and a second storage device with large capacity at a low cost in order to reliably records data with a hardware at a low cost. The first storage device records data in a SLC NAND flash memory in a log-structured style. We present a reverse partial scan that overcomes the slow scan time of log-structured storages at the boot stage. The scheme reduced the scan time of the first storage device by 1/50. In addition, our design includes a scheme that fast stores data at a moment of accident by 1/20 of data transfer time of a normal method.

• Science of Emotion and Sensibility
• /
• v.17 no.3
• /
• pp.65-74
• /
• 2014

Due to recent interest in user experience and its significance, much research surrounding this theme is now being conducted. In this research, I investigated user experience during usage of a product and the satisfaction acquired by it, as well as the relationship between satisfaction of having used a product and whether the user would be more likely to purchase another product from the same company. The same experiment was conducted in South Korea and the United States of America in order to get more generalized experimental results. I found that amongst the six representative user emotions expressed while using a product, two of them correlated the most. First, 'Satisfaction in Usability' (the emotions aroused by satisfaction with usage or the practicality of the product); and second, 'Discomfort or Displeasure' (uncomfortable or unpleasant emotions expressed while using a product. The above two factors were found to be of the most influence concerning satisfaction of the product. Also 'Satisfaction in Usability' was found to be of the most influence in their preferability towards purchasing an item from the same company in the future. The significance of this finding is that aside from focussing on the attractiveness of the product's exteriors and design, one should be concerned on the ease of usage and effectiveness as well as usability of the product, all of which contribute to how efficiently a consumer will utilize the product. Furthermore, in agreement with previous research concerning the correlation between satisfaction of a product and positive perspective on consecutive purchases, the result of this study shows that the more satisfaction consumers feel after using a product, the more likely they are to purchase additional merchandises from the same company which manufactured the original product.

• Korean Journal of Environmental Agriculture
• /
• v.21 no.1
• /
• pp.57-68
• /
• 2002

In order to elucidate the effect of phenobarbital sodium (PB) and 3-methylcholanthrene (3-MC) on metabolism of insecticide carbofuran in rat. Carbofuran metabolites and its formation rates were determined when orally administered $^{14}C$-carbofuran alone and its combination with PB or 3-MC to rat. $^{14}C$-carbofuran administered orally, alone or in combination with PB or 3-MC, was secreted rapidly within 48 hrs. That is, 79.9 to 81.1% of the original radioactivity was secreted into the urine and 5.7 to 6.5% into the feces. The secretion rate was faster in the combined administration than that in carbofuran alone. Metabolites of carbofuran in main organs, urine, feces and blood of rat were largely 3-hydroxycarbofuran, 3-ketocarbofuran, 3-hydroxycarbofuran phenol, 3-ketocarbofuran phenol, and carbofuran phenol, the major ones being 3-hydroxycarbofuran and 3-ketocarbofuran, respectively, in all administrations of carbofuran alone, carbofuran+PB and carbofuran+3-MC. In addition, formation rate of the two major metabolites detected in the urine was 17.4% and 12.8%, respectively, when carbofuran alone was administered. Meanwhile, when carbofuran was administered with PB or 3-MC, they were 8.6% and 23.5, repectively. These results indicate that the oral administration of PB or 3-MC can reduce carbofuran toxicity by fastening and stimulating the carbofuran metabolism in rat.

• Journal of Korean Society for Geospatial Information Science
• /
• v.24 no.1
• /
• pp.25-33
• /
• 2016

In order to visualize point based Location-Based Social Network Services(LBSNS) data on multi-scaled tile map effectively, it is necessary to apply tile-based clustering method. Then determinating reasonable numbers and size of tiles is required. However, there is no such criteria and the numbers and size of tiles are modified based on data type and the purpose of analysis. In other words, researchers' subjectivity is always involved in this type of study. This is when Modifiable Areal Unit Problem(MAUP) occurs, that affects the results of analysis. Among LBSNS, geotagged Twitter data were chosen to find the influence of MAUP in scale effects perspective. For this purpose, the degree of spatial autocorrelation using spatial error model was altered, and change of distributions was analyzed using Morna's I. As a result, positive spatial autocorrelation showed in the original data and the spatial autocorrelation was decreased as the value of spatial autoregressive coefficient was increasing. Therefore, the intensity of the spatial autocorrelation of Twitter data was adjusted to five levels, and for each level, nine different size of grid was created. For each level and different grid sizes, Moran's I was calculated. It was found that the spatial autocorrelation was increased when the aggregation level was being increased and decreased in a certainpoint. Another tendency was found that the scale effect of MAUP was decreased when the spatial autocorrelation was high.

• Journal of Intelligence and Information Systems
• /
• v.14 no.1
• /
• pp.1-17
• /
• 2008

Data mining is defined as the process of discovering meaningful and useful pattern in large volumes of data. In particular, finding associations rules between items in a database of customer transactions has become an important thing. Some data structures and algorithms had been proposed for storing meaningful information compressed from an original database to find frequent itemsets since Apriori algorithm. Though existing method find all association rules, we must have a lot of process to analyze association rules because there are too many rules. In this paper, we propose a new data structure, called a Frequent Pattern Network (FPN), which represents items as vertices and 2-itemsets as edges of the network. In order to utilize FPN, We constitute FPN using item's frequency. And then we use a clustering method to group the vertices on the network into clusters so that the intracluster similarity is maximized and the intercluster similarity is minimized. We generate association rules based on clusters. Our experiments showed accuracy of clustering items on the network using confidence, correlation and edge weight similarity methods. And We generated association rules using clusters and compare traditional and our method. From the results, the confidence similarity had a strong influence than others on the frequent pattern network. And FPN had a flexibility to minimum support value.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.4
• /
• pp.1968-1975
• /
• 2011

This study was performed to propose a development guide for the periphery of local industrial park in the region of Hongseng-gun located at the mid-west of Chungnam province., which is a representative agrarian society, has been approached to a super-aged society where the region shows a continuous decrease in population, and the composition ratio of old ages is about 17.1%. Also, the region is a period of a low ebb due to the traditional agriculture based industrial structure in producing mainly simple productions. Many local governments in agrarian and fishing regions have been efforted for luring some businesses in their regions by constructing industrial complex competitively in order to solve such structural problems in such local regions. However, in some cases, these efforts cause certain destructions in the local original natural environment due to such development of industrial complex and the decrease in the settlement environment of residents. The objective of this study is to establish a local development plan for building the sustainable and comfortable settlement environments based on the settlement of the residents and the labors in such industrial complex by preventing sprawl developments in the construction of general industrial complex. This study was processed as following procedures. First, this study drew the trend in the change of the local society of H-gun through collecting literatures and analyzing it. Second, this study proposed a proper level of settlement environments required to the development of surroundings in such industrial complex based on the survey of the consciousness of residents using a statistical method. Finally, this study proposed a development guide for the surroundings based on the proposed level of settlement environments.

• Journal of KIISE
• /
• v.43 no.1
• /
• pp.106-118
• /
• 2016

Recently, as the generation and sharing of web data have increased, the importance of a social semantic web that combines the semantic web and the social web has also been increasing. In this paper, we propose a trust evaluation scheme based on provenance by extending the PROV model in the social semantic web environment. The proposed scheme manages the provenance of web data and adds the necessary elements for trust evaluation in the PROV model of W3C. The extended PROV model supports data management and provenance tracing. The proposed trust evaluation scheme considers various parameters such as user trust, original data trust, and user evaluation. The evaluated trust is managed as provenance. When processing a query, the proposed scheme generates a result by considering the trust. Therefore, the proposed scheme can manage the provenance of web data and compute data trust correctly by using such various parameters. The evaluated trust becomes a criterion to determine whether the query result can be trusted or not. In order to show the validity of the proposed scheme, we verify its performance using SPARQL queries.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.36 no.3
• /
• pp.195-201
• /
• 2016

Eddy current testing (ECT) is commonly applied for the inspection of automated production lines of metallic products, because it has a high inspection speed and a reasonable price. When ECT is applied for the inspection of a metallic object having an uneven target surface, such as the spline gear of a spline shaft, it is difficult to distinguish between the original signal obtained from the sensor and the signal generated by a defect because of the relatively large surface signals having similar frequency distributions. To facilitate the detection of defect signals from the spline gear, implementation of high-order filters is essential, so that the fault signals can be distinguished from the surrounding noise signals, and simultaneously, the pass-band of the filter can be adjusted according to the status of each production line and the object to be inspected. We will examine the infinite impulse filters (IIR filters) available for implementing an advanced filter for ECT, and attempt to detect the flaw signals through optimization of system design parameters for detecting the signals at the system level.

• Korean journal of food and cookery science
• /
• v.20 no.1
• /
• pp.76-80
• /
• 2004

The potato tubers of Solanum tuberosum L. contain potato glycoalkaloids (PGA), a class of naturally occurring toxicants. The primary constituents of this class of compounds in potatoes are $\alpha$-chaconine and $\alpha$-solanine. The purpose of this study was to examine the effects of various cooking methods on the PGA contents in the common Korean potato Irish Cobbler variety and those in commercially produced potato products consumed in Korea. After cooking, most potatoes showed big decreases in their PGA contents compared to the uncooked samples, with the exception of baked potatoes, which maintained 90.86％ of their PGA contents. The PGA levels in boiled and blanched potatoes were reduced by 91.68 and 84.17％, respectively. However, the levels in samples boiled in 1％ salted water were only reduced by 52.10％. Potatoes fried and sauteed in oil had their PGA contents reduced to 49.42 and 49.51％ of their original levels. The reductions in the relative PGA contents by cooking method were in the order boiling〉blanching〉boiling with 1％ NaCl〉steaming〉sauteing〉frying〉microwaving〉baking. The highest remaining PGA content of the potato products in Korea was in potato chips, at 69.57mg/100g, but made with imported potatoes.

• Journal of Korea Multimedia Society
• /
• v.14 no.5
• /
• pp.669-680
• /
• 2011

R-trees are widely used in various areas such as geographical information systems, CAD systems and spatial databases in order to efficiently index multi-dimensional data. As data sets used in these areas grow in size and complexity, however, range query operations on R-tree are needed to be further faster to meet the area-specific constraints. To address this problem, there have been various research efforts to develop strategies for acceleration query processing on R-tree by using the buffer mechanism or parallelizing the query processing on R-tree through multiple disks and processors. As a part of the strategies, approaches which parallelize query processing on R-tree through Graphics Processor Units(GPUs) have been explored. The use of GPUs may guarantee improved performances resulting from faster calculations and reduced disk accesses but may cause additional overhead costs caused by high memory access latencies and low data exchange rate between GPUs and the CPU. In this paper, to address the overhead problems and to adapt GPUs efficiently, we propose a novel approach which uses a GPU as a buffer to parallelize query processing on R-tree. The use of buffer algorithm can give improved performance by reducing the number of disk access and maximizing coalesced memory access resulting in minimizing GPU memory access latencies. Through the extensive performance studies, we observed that the proposed approach achieved up to 5 times higher query performance than the original CPU-based R-trees.