• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1255-1258
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• 2003

Today with the sheep of information which is produced the variety is increasing geometrical progression. To recently the internet being supplied quickly, will reach and the computer users whom it uses increase and the documents which have become digital anger are increasing. From the dissertation which it sees directness it extracts a weight with possibility work and it uses it summarizes a statistics algorithm technique and a sentence. The summary literature course which the summary and the person due to a statistics algorithm summarize an agreement ratio it compares and it compares. And being more accurate like this statistical base summary method more little more, the good hit rate is high and it proposes the document summary algorithm method which is good.

• Cross-Cultural Studies
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• v.37
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• pp.267-286
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• 2014

The purpose of this study is to improve the writing skills through activities to read and summarize the internet children newspaper article. The subjects of study are the college students of A2-B1 level in the French writing classes. The range of study was as follows: - As the previous activity of writing, activities of teaching and learning of vocabularies to comprehend the internet children newspaper article. - learn about the rules of summary - writing the summary The children's newspaper used in this study has the advantage that can increase the learning motivation of learners as having a topicality by itself and a level of easy language. The summary activities can be called a comprehensive activities of teaching and learning that combine the critical reading ability that can distinguish important information and secondary one with the creative writing ablility that can reconstruct one's own style from the selected content. In addition, the summary assists the understanding of a text and is a help to its memory. It is the strategy of reading comprehension and also is simultaneously the strategy of writing that can write with one's own vocabulary by newly structuring the text. The results of this study will provide a vitality for the education environment and field of study of French language that have been neglected the writing ability. Moreover it will be the motivation to propose a way of a balanced French language communication to our French language learners weighted on oral communication.

• Journal of Software Assessment and Valuation
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• v.15 no.2
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• pp.25-33
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• 2019

In copyright dispute on software, appraisal procedure is needed, which is regarded as an implementation of the right to fast trial. Considering that, in practice, there has been a long discussion of attempting to operate the software appraisal as a summary procedure. This was done usually by reducing the resources devoted to the summary procedure, however, this way inevitably makes difference in a result obtained through the procedure. Therefore, this research reviewed the previous operation of summary procedure in software appraisal, focusing on intrinsic nature of the summary procedure and role of software appraisal in the trial process.

• Journal of Environmental Health Sciences
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• v.40 no.5
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• pp.385-396
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• 2014

Objectives: By conducting a meta-analysis of cohort studies reporting standardized mortality ratios (SMRs) for workers exposed to trichloroethylene, we attempted to adjust for healthy hired effect by applying the same methods as described in a recent report from the Agricultural Health Study. Methods: Among all cohort studies that evaluated the association between all cancer, non-Hodgkin's lymphoma (NHL), kidney cancer, liver cancer and occupational exposure to trichloroethylene, a total of 10 studies reporting SMR values were selected. A random-effects model was used to estimate the summary SMRs or rSMRs and 95% confidence intervals. Relative SMR ($rSMR=SMR_x/SMR_{not\;x}$) was calculated comparing observed and expected counts for all cancer, NHL, kidney cancer, and liver cancer with an independent referent set of values consisting of the observed and expected counts for other causes. Results: The SMR values for all causes ranged from 0.68 to 1.03, suggesting moderate to weak healthy worker effect for the selected studies. When the healthy worker hire effect was taken into account, the summarized risk became statistically significant; the summary SMR of all cancer was 0.95 (0.91-1.00) and the summary rSMR of all cancer was 1.10 (1.04-1.15). The summary SMR of NHL was 1.04 (0.93-1.14) and the summary rSMR of NHL was 1.23 (1.04-1.46). The summary SMR of kidney cancer was 1.08 (0.88-1.33) and the summary rSMR of kidney cancer was 1.23 (1.02-1.49). The summary SMR of liver cancer was 0.88 (0.78-0.99), and the summary rSMR of liver cancer was 0.95 (0.84-1.07). Conclusion: The rSMR method is useful to determine summary risk adjusted for healthy worker effect through meta-analysis.

• Journal of KIISE:Software and Applications
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• v.36 no.7
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• pp.590-606
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• 2009

We present a static analyzer that detects memory leaks in C programs. It achieves relatively high accuracy at a relatively low cost on SPEC2000 benchmarks and several open-source software packages, demonstrating its practicality and competitive edge against other reported analyzers: for a set of benchmarks totaling 1,777 KLOCs, it found 332 bugs with 47 additional false positives (a 12.4% false-positive ratio), and the average analysis speed was 720 LOC/sec. We separately analyze each procedure's memory behavior into a summary that is used in analyzing its call sites. Each procedural summary is parameterized by the procedure's call context so that it can be instantiated at different call sites. What information to capture in each procedural summary has been carefully tuned so that the summary should not lose any common memory-leak-related behaviors in real-world C program. Because each procedure is summarized by conventional fixpoint iteration over the abstract semantics ('a la abstract interpretation), the analyzer naturally handles arbitrary call cycles from direct or indirect recursive calls.

• Journal of Distribution Research
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• v.9 no.2
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• pp.101-122
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• 2004

In this study, two alternative models are developed and tested in order to investigate the relationship between retailer image and its private brand attitude. The halo effect model hypothesizes that retailer image is related as a halo in private brand evaluation and the summary construct model hypothesizes that retailer image functions as a summary construct of private brand evaluation. The results indicate there are moderating effects of 1) familiarity with a private brand and 2) the characteristics of a product category High familiarity is related with the summary construct model and low familiarity the halo effect model. In private brand food, the summary construct model fits better and explains more adequately that private brand evaluation influences retailer image as a summary construct. In private brand clothes, however, the halo effect model performs better in explaining the relationship between retailer image and private brand attitude.

• Journal of Information Processing Systems
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• v.9 no.4
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• pp.602-620
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• 2013

Many previous research studies on extractive text summarization consider a subset of words in a document as keywords and use a sentence ranking function that ranks sentences based on their similarities with the list of extracted keywords. But the use of key concepts in automatic text summarization task has received less attention in literature on summarization. The proposed work uses key concepts identified from a document for creating a summary of the document. We view single-word or multi-word keyphrases of a document as the important concepts that a document elaborates on. Our work is based on the hypothesis that an extract is an elaboration of the important concepts to some permissible extent and it is controlled by the given summary length restriction. In other words, our method of text summarization chooses a subset of sentences from a document that maximizes the important concepts in the final summary. To allow diverse information in the summary, for each important concept, we select one sentence that is the best possible elaboration of the concept. Accordingly, the most important concept will contribute first to the summary, then to the second best concept, and so on. To prove the effectiveness of our proposed summarization method, we have compared it to some state-of-the art summarization systems and the results show that the proposed method outperforms the existing systems to which it is compared.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.460-462
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• 2003

본 논문에서는 모바일 환경에서. 사용자의 상황정보와 개인적 선호도 정보를 고려하여 사용자에게 적합한 영화를 선택. 추천하고 선택된 영화의 요약(Summary)을 서비스 할 수 있는 시스템을 제안한다. 제안된 시스템은 사용자가 이동하는 상황에 따라 변하는 위치, 시간 정보와 개인적 선호도인 영화장르 정보에 기반한 영화선택 서비스를 제공하고, 선택된 영화 콘텐츠의 요약을 MPEG-7 메타데이터로 기술하고, 이를 이용해 요약을 효과적으로 소모할 수 있게 한다. 제안된 시스템을 통해, 모바일 환경 기반 영화 선택 및 서비스 시스템(Mobile Environment-Based Movie Selection and Summary Service System)을 실현하고, 그 효용성을 입증하였다.

• ETRI Journal
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• v.43 no.2
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• pp.288-298
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• 2021

Abstractive text summarization is a process of making a summary of a given text by paraphrasing the facts of the text while keeping the meaning intact. The manmade summary generation process is laborious and time-consuming. We present here a summary generation model that is based on multilayered attentional peephole convolutional long short-term memory (MAPCoL; LSTM) in order to extract abstractive summaries of large text in an automated manner. We added the concept of attention in a peephole convolutional LSTM to improve the overall quality of a summary by giving weights to important parts of the source text during training. We evaluated the performance with regard to semantic coherence of our MAPCoL model over a popular dataset named CNN/Daily Mail, and found that MAPCoL outperformed other traditional LSTM-based models. We found improvements in the performance of MAPCoL in different internal settings when compared to state-of-the-art models of abstractive text summarization.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.10A
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• pp.1021-1028
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• 2002

This paper proposes a method to extract the content curve that reflects changes in video content from the MPEG video in the compressed domain, and also describes a video summary generation technique which can read video effectively and rapidly from the content curve. Existing video summary techniques have a disadvantage of taking significant amount of time to generate the video summary due to complex calculations in the decoding process. Moreover, the existing techniques, which use video content curve, require to perform many calculations to process the high dimensional content curve. However, the proposed technique generates video summary fast via the linear approximation of the proposed curve, after extraction the two dimensional content curve directly. In addition, the proposed technique has a merit that the user can set any number of key-frames and amount of calculation that form the video summary.