• Title/Summary/Keyword: Text consistency

Search Result 50, Processing Time 0.038 seconds

Flame Diagnosis using Image Processing Technique (영상처리 기술을 이용한 연소상태 진단)

  • Lee, Tae-Young;Kim, Song-Hwan;Lee, Sang-Ryong
    • Journal of the Korean Society for Precision Engineering
    • /
    • v.16 no.7
    • /
    • pp.196-202
    • /
    • 1999
  • Recent trend changes a criterion for evaluation of burner that environmental problem is raised as global issue. For efficient driving problem, the higher thermal efficiency and the lower oxygen in exhaust gas, burner is evaluated the better. For environmental problem, burner must satisfy $NO_{X}$ limit and CO limit. Consequently, 'good burner' means on whose thermal efficiency is high under the constraint of $NO_{X}$ and CO consistency. To make existing burner satisfy recent criterion, it is highly recommended to develop feedback control scheme whose output is the consistency of $NO_{X}$ and CO. This paper describes development of real time flame diagnosis technique that evaluate and diagnose combustion state such as consistency of components in exhaust gas, stability of flame in quantitative sense. This study focuses on wave length of luminescence from chemical reaction measurement of the luminescence via optical measuring apparatus and derive correlation with consistency of components in exhaust gas by image processing technique.

  • PDF

The Effect of Text Consistency between the Review Title and Content on Review Helpfulness (온라인 리뷰의 제목과 내용의 일치성이 리뷰 유용성에 미치는 영향)

  • Li, Qinglong;Kim, Jaekyeong
    • Knowledge Management Research
    • /
    • v.23 no.3
    • /
    • pp.193-212
    • /
    • 2022
  • Many studies have proposed several factors that affect review helpfulness. Previous studies have investigated the effect of quantitative factors (e.g., star ratings) and affective factors (e.g., sentiment scores) on review helpfulness. Online reviews contain titles and contents, but existing studies focus on the review content. However, there is a limitation to investigating the factors that affect review helpfulness based on the review content without considering the review title. However, previous studies independently investigated the effect of review content and title on review helpfulness. However, it may ignore the potential impact of similarity between review titles and content on review helpfulness. This study used text consistency between review titles and content affect review helpfulness based on the mere exposure effect theory. We also considered the role of information clearness, review length, and source reliability. The results show that text consistency between the review title and the content negatively affects the review helpfulness. Furthermore, we found that information clearness and source reliability weaken the negative effects of text consistency on review helpfulness.

On Statistical Estimation of Multivariate (Vector-valued) Process Capability Indices with Bootstraps)

  • Cho, Joong-Jae;Park, Byoung-Sun;Lim, Soo-Duck
    • Communications for Statistical Applications and Methods
    • /
    • v.8 no.3
    • /
    • pp.697-709
    • /
    • 2001
  • In this paper we study two vector-valued process capability indices $C_{p}$=($C_{px}$, $C_{py}$ ) and C/aub pm/=( $C_{pmx}$, $C_{pmy}$) considering process capability indices $C_{p}$ and $C_{pm}$ . First, two asymptotic distributions of plug-in estimators $C_{p}$=($C_{px}$, $C_{py}$ ) and $C_{pm}$ =) $C_{pmx}$, $C_{pmy}$) are derived.. With the asymptotic distributions, we propose asymptotic confidence regions for our indices. Next, obtaining the asymptotic distributions of two bootstrap estimators $C_{p}$=($C_{px}$, $C_{py}$ )and $C_{pm}$ =( $C_{pmx}$, $C_{pmy}$) with our bootstrap algorithm, we will provide the consistency of our bootstrap for statistical inference. Also, with the consistency of our bootstrap, we propose bootstrap asymptotic confidence regions for our indices. (no abstract, see full-text)see full-text)e full-text)

  • PDF

A Generation-based Text Steganography by Maintaining Consistency of Probability Distribution

  • Yang, Boya;Peng, Wanli;Xue, Yiming;Zhong, Ping
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.15 no.11
    • /
    • pp.4184-4202
    • /
    • 2021
  • Text steganography combined with natural language generation has become increasingly popular. The existing methods usually embed secret information in the generated word by controlling the sampling in the process of text generation. A candidate pool will be constructed by greedy strategy, and only the words with high probability will be encoded, which damages the statistical law of the texts and seriously affects the security of steganography. In order to reduce the influence of the candidate pool on the statistical imperceptibility of steganography, we propose a steganography method based on a new sampling strategy. Instead of just consisting of words with high probability, we select words with relatively small difference from the actual sample of the language model to build a candidate pool, thus keeping consistency with the probability distribution of the language model. What's more, we encode the candidate words according to their probability similarity with the target word, which can further maintain the probability distribution. Experimental results show that the proposed method can outperform the state-of-the-art steganographic methods in terms of security performance.

A Watermarking for Text Document Images using Edge Direction Histograms (에지 방향 히스토그램을 이용한 텍스트 문서 영상의 워터마킹)

  • 김영원;오일석
    • Journal of KIISE:Software and Applications
    • /
    • v.31 no.2
    • /
    • pp.203-212
    • /
    • 2004
  • The watermarking is a method to achieve the copyright protection of multimedia contents. Among several media, the left documents show very peculiar properties: block/line/word patterning, clear separation between foreground and background areas. So algorithms specific to the text documents are required that meet those properties. This paper proposes a novel watermarking algorithm for the grayscale text document images. The algorithm inserts the watermark signals through the edge direction histograms. A concept of sub-image consistency is developed that the sub-images have similar shapes in terms of edge direction histograms. Using Korean, Chinese, and English document images, the concept is evaluated and proven to be valid over a wide range of document images. To insert watermark signals, the edge direction histogram is modified slightly. The experiments were performed on various document images and the algorithm was evaluated in terms of imperceptibility and robustness.

A multi-channel CNN based online review helpfulness prediction model (Multi-channel CNN 기반 온라인 리뷰 유용성 예측 모델 개발에 관한 연구)

  • Li, Xinzhe;Yun, Hyorim;Li, Qinglong;Kim, Jaekyeong
    • Journal of Intelligence and Information Systems
    • /
    • v.28 no.2
    • /
    • pp.171-189
    • /
    • 2022
  • Online reviews play an essential role in the consumer's purchasing decision-making process, and thus, providing helpful and reliable reviews is essential to consumers. Previous online review helpfulness prediction studies mainly predicted review helpfulness based on the consistency of text and rating information of online reviews. However, there is a limitation in that representation capacity or review text and rating interaction. We propose a CNN-RHP model that effectively learns the interaction between review text and rating information to improve the limitations of previous studies. Multi-channel CNNs were applied to extract the semantic representation of the review text. We also converted rating into independent high-dimensional embedding vectors representing the same dimension as the text vector. The consistency between the review text and the rating information is learned based on element-wise operations between the review text and the star rating vector. To evaluate the performance of the proposed CNN-RHP model in this study, we used online reviews collected from Amazom.com. Experimental results show that the CNN-RHP model indicates excellent performance compared to several benchmark models. The results of this study can provide practical implications when providing services related to review helpfulness on online e-commerce platforms.

Analyzing Issues on Environment-Friendly Agriculture Using Topic Modeling and Network Analysis (토픽모델링과 네트워크분석을 활용한 친환경농업 이슈분석에 관한 연구)

  • Shin, Ye-Eun;Shin, Eun-Seo;Kim, Sang-Bum;Choi, Jin-Ah;Kim, Myunghyun;Han, Seokjun;An, Kyungjin
    • Journal of Korean Society of Rural Planning
    • /
    • v.29 no.4
    • /
    • pp.35-53
    • /
    • 2023
  • This study attempts to identify the flow of key topics and issues of research trends related to environment-friendly agriculture conducted around the 2000s in South Korea and compare them with the environment-friendly agriculture promotion plan to seek the level of consistency and the direction of future development of environment-friendly agriculture. For the analysis of environment-friendly agriculture research trends and policy consistency, 'topic modeling', which is suitable for subject classification of large amounts of unstructured data, and 'text network analysis', which visualizes the relationship between keywords as a network and interprets its characteristics, were utilized. Overall, active discussions were held on 'technical discussions for the production and cultivation of environment-friendly agricultural products' and 'food safety & consumer awareness', and keywords such as production, cultivation, consumption, and safety were consistently linked to other keywords regardless of time. In addition, it was found that the issue of environment-friendly agriculture was partially consistent with the policy direction of the period. Considering the fact that the ongoing '5th Environment-Friendly Agriculture Promotion Phase' emphasizes the strengthening of rural environment management and aims to ensure the continuous quantitative and qualitative development of environment-friendly agriculture, active discussions and research on its environmental contributions and management methods are needed.

Typography for Efficient Visual Flow of Text Focused on Hangul (텍스트의 효율적 시각흐름을 위한 타이포그래피-한글을 중심으로-)

  • 신경주;김지현
    • Archives of design research
    • /
    • v.11 no.3
    • /
    • pp.187-196
    • /
    • 1998
  • This study is intended to suggest the method of text arrangement in order to enhance visual perception which would help darify its communication. One hundred subjects without restriction of gender and profession participated in each experiment :their reading time was measured by the 0.01 second. The Analysis of Variance(two-way ANOVA without interaction) was performed for each experiment and the p value was 0.0001 which implies that there was a strong consistency among test results. Based on the first results, it is found that there is a consistent relationship between type size and text line length, and the following discovery was made ; the most effective ratio of type size to line length is approximately 1 :8. Judging from the Second and Third results, it seems that the vertical text arrangement is most efficient for reading regardless of text line length. So to make same rreading direction is more important than to narrow down the eye moving distance between column and column for efficient visual flow. This research supports the view that considering efficient eye movement on text, it is important to understand the mentioned variables that affect visual interpretation.

  • PDF