• Journal of Information Technology Applications and Management
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• v.23 no.3
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• pp.87-97
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• 2016

This paper proposes a fast sound source localization method using a TDOA sign-based algorithm. We present an L-shaped microphone set-up which creates four major regions in the range of $0^{\circ}{\sim}360^{\circ}$ by the intersection of the positive and negative regions of the individual microphone pairs. Then, we make an initial source region prediction based on the signs of two TDOA estimates before computing the azimuth value. Also, we apply a threshold and angle comparison to tackle the existing front-back confusion problem. Our experimental results show that the proposed method is comparable in accuracy to previous three microphone array methods; however, it takes a shorter computation time because we compute only two TDOA values.

• Journal of the Society of Naval Architects of Korea
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• v.57 no.3
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• pp.140-151
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• 2020

It is important to identify the location of ship hull blocks with exact block identification number when scheduling the shipbuilding process. The wrong information on the location and identification number of some hull block can cause low productivity by spending time to find where the exact hull block is. In order to solve this problem, it is necessary to equip the system to track the location of the blocks and to identify the identification numbers of the blocks automatically. There were a lot of researches of location tracking system for the hull blocks on the stockyard. However there has been no research to identify the hull blocks on the stockyard. This study compares the performance of 5 Convolutional Neural Network (CNN) models with multi-view image set on the classification of the hull blocks to identify the blocks on the stockyard. The CNN models are open algorithms of ImageNet Large-Scale Visual Recognition Competition (ILSVRC). Four scaled hull block models are used to acquire the images of ship hull blocks. Learning and transfer learning of the CNN models with original training data and augmented data of the original training data were done. 20 tests and predictions in consideration of five CNN models and four cases of training conditions are performed. In order to compare the classification performance of the CNN models, accuracy and average F1-Score from confusion matrix are adopted as the performance measures. As a result of the comparison, Resnet-152v2 model shows the highest accuracy and average F1-Score with full block prediction image set and with cropped block prediction image set.

• Journal of Food Hygiene and Safety
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• v.35 no.6
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• pp.574-580
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• 2020

In this study we sought to determine the food fraud by discriminating species of commercial seafood product such as Larimichthys polyactis, Larimichthys crocea, Pennahia argentatus, and Miichthys miiuy, which are difficult to morphologically discriminate. After amplifying the mitochondrial cytochrome c oxidase subunit I gene of the reference fish, the DNA sequences of the amplified PCR products were analyzed. As a result, a 655 bp sequence for species identification was selected for use as DNA barcodes. To confirm the DNA data and primer set, the DNA barcode sequence of each fish was compared to that in that in the NCBI. All of the DNA barcode data were matched with the gene sequence of each fish in the NCBI. A total of 32 processed seafood products (8 L. polyactis, 12 L. crocea, 3 Pennahia argentatus, and 9 Miichthys miiuy) were investigated. Homology of 97% or more in DNA sequences was judged as the same species. As a result of the monitoring, there were no discovered cases of forgery or alteration. However, the use of a raw material name having no matching standard name in the Korea Food Code may cause consumer confusion. Therefore, it is suggested that the standard name or scientific name be co-labeled with the raw material name on seafood products to prevent consumer confusion.

• Phonetics and Speech Sciences
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• v.9 no.1
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• pp.19-26
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• 2017

The main objective of this study is to investigate the influence of utterance internal pause in English speaking evaluation. To avoid possible confusion with other errors caused by segmental and prosodic inaccuracy, stem utterances with two different length obtained from a native speaker were manipulated to make a set of stimuli tokens through insertion of pauses whose length and position vary. After a total of 90 participants classified into three proficiency groups rated the stimuli, the scored data set was statistically analyzed in terms of the mixed effects model. It was confirmed that predictors such as pause length, pause position and utterance length significantly influence raters' evaluation scores. Especially, a dominating effect was found in such a way that raters gradually deducted scores in accordance with the increase of pause duration. In another experiment, a tree-based statistical learning technique was utilized to check which of the significant predictors played a more influential role than others. The findings in this paper are expected to be practically informative for both the test takers who are preparing for an English speaking test and the raters who desire to develop more objective rubric of speaking evaluation.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.3
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• pp.36-41
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• 2010

An advanced form of Multistage Feature-based Classification Model(AMFCM), called AMFCM, is proposed in this paper. AMFCM like MFCM does not use the concatenated form of available feature vectors extracted from original data to classify each data, but uses only groups related to each feature vector to classify separately. The prpposed AMFCM improves the contribution rate used in MFCM and proposes a confusion table for each local classifier using a specific feature vector group. The confusion table for each local classifier contains accuracy information of each local classifier on each class of data. The proposed AMFCM is applied to the problem of music genre classification on a set of music data. The results demonstrate that the proposed AMFCM outperforms MFCM by 8% - 15% on average in terms of classification accuracy depending on the grouping algorithms used for local classifiers and the number of clusters.

• 중국학논총
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• no.58
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• pp.91-119
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• 2018

As for the various pathological phenomena of the society which is getting worse without any improvement, the film paints the phenomenon nakedly with the cold and cynical gaze on the basis of realism. These attempts originated in the Chinese art world, and they cynically sketched a Chinese society that lost hope after 6·4. The cynicism of the art world contains meanings such as instruction, meanness, passion, indifference, and mockery. In particular, the distrust of the social system after 6·4 and the collapse of the Soviet and Eastern European socialist nations gave the Chinese people a skeptical view of socialism. This situation of the times has a cynical viewpoint to face as it is instead of prudent criticism. This cynical view was embraced by filmmakers who were not silent on The pathological phenomenon of society, and they were directed to films. is a film about the love, separation, suicide, frustration and reconciliation of youth in the era of identity confusion after 6·4. The characters in the film did not mention a single word about the state power that made them do it. based on the characteristics of women in northeast China and the murder that occurred around a woman with a beauty that was not like a laundry employee. Centered around the unresolved slice murder case, expressed human moral ambiguity that does not distinguish good fortune from human instinct for struggle for survival, and portrayed the scenery of a very cold northeast small city. But it does not show any criticism of the crime. Based on the true story of the 2000s, the portrays the uncomfortable aspects of China that established Chinese socialism. A film composed of four short episodes conveys the destiny set by God.

• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.1
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• pp.187-198
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• 2005

The structure of a Web site can prevent the search robots or crawling agents from confusion in the midst of huge forest of the Web pages. We formalize the view on the World Wide Web and generalize it as a hierarchy of Web objects such as the Web as a set of Web sites, and a Web site as a directed graph with Web nodes and Web edges. Our approach results in the optimal hierarchical structure that can maximize the weight, tf-idf (term frequency and inverse document frequency), that is one of the most widely accepted content centric measures in the information retrieval community, so that the measure can be used to embody the semantics of search query. The experimental results represent that the optimization model is an effective alternative in the dynamically changing Web environment by replacing conventional heuristic approaches.

• Korean Journal of Organic Agriculture
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• v.31 no.1
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• pp.63-77
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• 2023

The purpose of this study is to help operate and manage the new food period, use-by-date by investigating consumer perception of various food periods, and change of purchasing and consumption period by food period label. Compared to the purchasing period of sell-by-date, the ratio of the purchasing period also increased as the proposed period of the use-by-date and the best before date increased. The use-by-date should be set at least 15 days to reduce food waste as the consumption period is the same as the sell-by-date. This can be said to have an anchoring effect that changes the purchasing and consumption period of consumers depending on how much the food period is indicated even for the same product. In order to reduce consumer confusion and food waste due to sell-by-date, it is considered to label the sell-by-date and use-by-date or use-by-date and best before date in parallel.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.1
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• pp.61-68
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• 2015

In recent times, the median filtering (MF) detector as a forensic tool for the recovery of forgery images' processing history has concerned broad interest. For the classification of MF image, MF detector should be designed with smaller feature set and higher detection ratio. This paper presents a novel method for the detection of MF in altered images. It is transformed from BMP to several kinds of MF image by the median window size. The difference distribution values are computed according to the window sizes and then the values construct the feature set same as the MF window size. For the MF detector, the feature set transformed to the model specification which is computed using latent growth modeling (LGM). Through experiments, the test image is classified by the discriminant into two classes: the true positive (TP) and the false negative (FN). It confirms that the proposed algorithm is to be outstanding performance when the minimum distance average is 0.119 in the confusion of TP and FN for the effectivity of classification.

• Korean Journal of Agricultural and Forest Meteorology
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• v.17 no.4
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• pp.348-357
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• 2015

The main purpose of this study is to understand the potential geographic distribution of P. koraiensis, which is known to be one of major economic tree species, based on the RCP (Representative Concentration Pathway) 8.5 scenarios and current geographic distribution from National Forest Inventory(NFI) data using ecological niche modeling. P. koraiensis abundance data extracted from NFI were utilized to estimate current geographic distribution. Also, GARP (Genetic Algorithm for Rule-set Production) model, one of the ecological niche models, was applied to estimate potential geographic distribution and to project future changes. Environmental explanatory variables showing Area Under Curve (AUC) value bigger than 0.6 were selected and constructed into the final model by running the model for each of the 27 variables. The results of the model validation which was performed based on confusion matrix statistics, showed quite high suitability. Currently P. koraiensis is distributed widely from 300m to 1,200m in altitude and from south to north as a result of national greening project in 1970s although major populations are found in elevated and northern area. The results of this study were successful in showing the current distribution of P. koraiensis and projecting their future changes. Future model for P. koraiensis suggest large areas predicted under current climate conditions may be contracted by 2090s showing dramatic habitat loss. Considering the increasing status of atmospheric $CO_2$ and air temperature in Korea, P. koraiensis seems to experience the significant decrease of potential distribution range in the future. The final model in this study may be used to identify climate change impacts on distribution of P. koraiensis in Korea, and a deeper understanding of its correlation may be helpful when planning afforestation strategies.