• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.1
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• pp.13-19
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• 2019

The accuracy of machine learning is greatly affected by amount of learning data and quality of data. Collecting existing Web-based learning data has danger that data unrelated to actual learning can be collected, and it is impossible to secure data transparency. In this paper, we propose a method for collecting data directly in parallel by blocks in a block - chain structure, and comparing the data collected by each block with data in other blocks to select only good data. In the proposed system, each block shares data with each other through a chain of blocks, utilizes the All-reduce structure of Parallel-SGD to select only good quality data through comparison with other block data to construct a learning data set. Also, in order to verify the performance of the proposed architecture, we verify that the original image is only good data among the modulated images using the existing benchmark data set.

• The Korean Journal of Community Living Science
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• v.23 no.4
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• pp.441-446
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• 2012

The aim of this study was to evaluate the effect of application of the contents of Korean Information Center of Agricultura Safety and Health (KICASH) with 80 subjects(male: 60, female: 20) from different provinces nationwide in 2011. Subjects were classified according to their sex and familiarity of computer and then categorized into 3 groups with poor, medium and good by self-evaluation. The test for the effectiveness and satisfaction about KICASH was conducted with likert scale from very bad (1point) to very good (5point). Subjects generally tended to give 4 points to contents. And they gave support to KICASH in that they showed about 4 point with intention of application of KICASH for safety and health irrespective of familiarity of computer. However, as they received the information passively, it will be needed to develop more interesting and various contents which they could get more helpful information for their health and safety actively using two-way information communication system in future. Therefore the study can helps improve farmer's health and safety through developing advanced health and safety information system.

• IE interfaces
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• v.21 no.2
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• pp.229-236
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• 2008

Recently, ubiquitous computing paradigm considers as a tool for making innovation and competitive strength in manufacturing industry like other industries. Particularly, the location-based service that enables us to trace real-time logistics make effective management of schedules for inventory control, facilities and equipments, jobs planning, and facilitate the processes of information management and intelligence, which relate with ERP and SCM in organizations. Our study tries to build the location-based system for products of semiconductors in manufacturing place and suggests the good conditions and effective tracking procedures for positions of products. Our study show that the system is good for the saving of time in tracking products, however, it has to be improved in terms of accuracy. The study verifies the application of RFID technology in manufacturing industry and suggests the improvement of photograph process through RFID. In addition, our research introduces the future operation of FAB in semiconductors' processes that relate with real-time automation and RFID in manufacturing company.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.213-226
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• 2021

Given that most of the link prediction algorithms for signed social networks can only complete sign prediction, a novel algorithm is proposed aiming to achieve both link prediction and sign prediction in signed networks. Based on the structural balance theory, the local link tightness and global link tightness are defined respectively by using the structural information of paths with the step size of 2 and 3 between the two nodes. Then the total similarity of the node pair can be obtained by combining them. Its absolute value measures the possibility of the two nodes to establish a link, and its sign is the sign prediction result of the predicted link. The effectiveness and correctness of the proposed algorithm are verified on six typical datasets. Comparison and analysis are also carried out with the classical prediction algorithms in signed networks such as CN-Predict, ICN-Predict, and PSNBS (prediction in signed networks based on balance and similarity) using the evaluation indexes like area under the curve (AUC), Precision, improved AUC', improved Accuracy', and so on. Results show that the proposed algorithm achieves good performance in both link prediction and sign prediction, and its accuracy is higher than other algorithms. Moreover, it can achieve a good balance between prediction accuracy and computational complexity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.1
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• pp.254-276
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• 2019

Since the amount of information on the internet is growing rapidly, it is not easy for a user to find relevant information for his/her query. To tackle this issue, the researchers are paying much attention to Document Summarization. The key point in any successful document summarizer is a good document representation. The traditional approaches based on word overlapping mostly fail to produce that kind of representation. Word embedding has shown good performance allowing words to match on a semantic level. Naively concatenating word embeddings makes common words dominant which in turn diminish the representation quality. In this paper, we employ word embeddings to improve the weighting schemes for calculating the Latent Semantic Analysis input matrix. Two embedding-based weighting schemes are proposed and then combined to calculate the values of this matrix. They are modified versions of the augment weight and the entropy frequency that combine the strength of traditional weighting schemes and word embedding. The proposed approach is evaluated on three English datasets, DUC 2002, DUC 2004 and Multilingual 2015 Single-document Summarization. Experimental results on the three datasets show that the proposed model achieved competitive performance compared to the state-of-the-art leading to a conclusion that it provides a better document representation and a better document summary as a result.

• Journal of The Korean Association For Science Education
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• v.25 no.2
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• pp.122-132
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• 2005

Graphing abilities are critical to understand and convey information in science. And then, to what extent are secondary students in science courses able to understand line graphs? To find clues about the students' interpretation processes of the information in science-related line graphs, this study has the following research question: Is there a difference between the levels of complexity of good and poor readers as they use the thinking aloud method for studying cognitive processes? The present study was designed to provide evidence for the hypothesis that good line graph readers use a specific graph interpretation process when reading and interpreting line graphs. With the aid of the thinking aloud method we gained deeper insight into the interpretation processes of good and poor graph readers while verifying verbal statements with respect to line graphs. The high performing students tend to read much more information and more trend-related information than the low performing students. We support the assumption of differential line graph schema existing in the high performing students in conjunction with general graph schema. Also, high performing students tend to think aloud much more metacognitively than low performing students. High performing students think aloud a larger quantity of information from line graphs than low performing students, and more trend-related sentences than value-related sentences from line graphs. The differences of interpretation processes revealed between good and poor graph readers while reading and interpreting line graphs have implications for instructional practice as well as for test development and validation. Teaching students to read and interpret graphs flexibly and skillfully is a particular challenge to anyone seriously concerned with good education for students who live in an technological society.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.11 no.1
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• pp.27-44
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• 2000

The purpose of this study is to explore ways to get children in the information age of today to develop good reading habits and make reading a central part of their lives from an early age. The results of the study are as follows : 1. First of all, it is important for children to gain the habit of reading books from their early childhood during activities such as eating food, sleeping, studying, playing, going errands and watching TV etc. 2. The habituation of reading is formed by repeating and reenforcing the habit once it is acquired. Then we will do it easily, unconsciously and automatically. 3. Habituation is formed by the course of formalizing, training, reenforcing, and motivating like other daily activities. 4. The prerequisites of habituation for reading are the early integration of reading books, putting reading books at the core of curriculum, developing an interest in reading, motivating to read books, giving good rewards for reading, and simply encouraging reading. 5. Lastly, other ways to form good reading habits are inducing interests in books and reading books, and reading in the course of learning.

• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.335-346
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• 2015

The electronic commerce site (EC site) has become an important marketing channel where consumers can purchase many kinds of products; their access logs, including purchase records and browsing histories, are saved in the EC sites' databases. These log data can be utilized for the purpose of web marketing. The customers who purchase many product items are good customers, whereas the other customers, who do not purchase many items, must not be good customers even if they browse many items. If the attributes of good customers and those of other customers are clarified, such information is valuable as input for making a new marketing strategy. Regarding the product items, the characteristics of good items that are bought by many users are valuable information. It is necessary to construct a method to efficiently analyze such characteristics. This paper proposes a new latent class model to analyze both purchasing and browsing histories to make latent item and user clusters. By applying the proposal, an example of data analysis on an EC site is demonstrated. Through the clusters obtained by the proposed latent class model and the classification rule by the decision tree model, new findings are extracted from the data of purchasing and browsing histories.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.14
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• pp.103-152
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• 2000

English contract law has traditionally taken the view that it is not the duty of the parties to a contract to give information voluntarily to each other. In English law, one of the principal distinctions between insurance contract law and general contract law is the existence of the doctrine of utmost good faith in insurance law. The doctrine gives rise to a variety of duties, some of which apply before formation of the contract while others apply post-formation. This article is, therefore, designed to analyse the overall structure and problems of the doctrine of utmost good faith in English marine insurance law. The results of analysis are as following : First, the requirement of utmost good faith in marine insurance law arises from the fact that many of the relevant circumstances are within the exclusive knowledge of the assured and it is impossible for the insurer to obtain the facts to make a appropriate calculation of the risk that he is asked to assume without this information. Secondly, the duty of utmost good faith provided in MIA 1906, s. 17 has the nature as a bilateral or reciprocal, overriding and absolute duty. Thirdly, the Court of Appeal in Skandia held that breach of the pre-formation duty of utmost good faith did not sound in damages since the duty did not arise out of an implied contractual term and the breach did not constitute a tort. Instead, the Court of Appeal held that the duty was an extra-contractual duty imposed by law in the form of a contingent condition precedent to the enforceability of the contract. Fourthly, the scope of the duty of utmost good faith is closely related to the test of materiality and the assured is required to disclose only material circumstances subject to MIA 1906, s. 18(1) and 20(1). The test of materiality, which had caused a great deal of debate in English courts over 30 years, was finally settled by the House of Lords in Pan Atlantic and the House of Lords rejected the 'decisive influence' test and the 'increased risk' test, and the decision of the House of Lords is thought to accept the 'mere influence' test in subsequent case by the Court of Appeal. Fifthly, the insurer is, in order to avoid contract, required to provide proof that he is induced to enter into the contract by reason of the non-disclosure or misrepresentation of the assured. Sixthly, the duty of utmost good faith is, in principle, terminated before contract is concluded, but it is undoubtful that the provision under MIA 1906, s. 17 is wide enough to include the post-formation duty. The post-formation duty is, however, based upon the terms of marine insurance contract, and the duty lies entirely outside s. 17. Finally, MIA 1906, s. 17 provides expressly for the remedy of avoidance of the contract for breach of the duty. This means rescission or retrospective avoidance of the entire contract, and the remedy is based upon a fairly crude 'all-or-nothing' approach. What is needed in English marine insurance law is to introduce a more sophiscated or proportionate remedy.

• Science of Emotion and Sensibility
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• v.17 no.3
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• pp.39-48
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• 2014

Good and bad luck is an important factor that frequently affects human information processing. However, in spite of its significance, few studies have been done to examine how good and bad luck influences information processing and reasoning. The current research was performed to explore the effect of good and bad luck on reasoning and, for this, two experiments were conducted. In experiment 1, participants were primed with good or bad luck and were asked to make an inference for a given murder case and include as many as clues for it, while in experiment 2, participants were asked to exclude as many as clues for the same murder case. Results show that, in experiment 1, participants who were primed with good luck included more clues than those who were primed with bad luck. However, in Experiment 2, it was found that participants who were primed with bad luck excluded more clues than those who were primed with good luck. Findings from this study indicate that priming good luck enhances holistic thinking which leads to including more and excluding less clues whereas priming bad luck increases analytic thinking which leads to including less and excluding more clues. Implications of this study for inference and decision making, consumer behavior, and addict psychology are discussed.