检索结果-内蒙古大学图书馆

An integrated assessment of food waste model through intuitionistic fuzzy cognitive maps

JOURNAL OF CLEANER PRODUCTION 2023年第1期418卷

作者： Emir, Oguz Ekici, Sule Onsel Istanbul Kultur Univ Dept Ind Engn Istanbul Turkiye Istanbul Univ Cerrahpasa Dept Ind Engn Istanbul Turkiye

In recent years, the waste management field has received substantial attention from policymakers, organizations, academics, and researchers due to increased focus on sustainability and carbon footprint reduction as well as concerns around rapid depletion of natural resources, public health, and environmental impact. Studies on food waste management have become especially important given the dramatic growth of the world's population and global hunger and malnutrition crisis. Considering the fact that one-third of the world's food supply is wasted or lost annually while hundreds of millions of people are living with food insecurity, it is easy to understand the importance of research studying appropriate food waste management actions for sustainability. Since the subject of food waste involves complicated linkages, the determination of a suitable model is pivotal. Integrated assessment models (IAMs) have been commonly used to uncover hidden patterns and present insights to policymakers. Furthermore, these models are well-designed to integrate data, information, and multidisciplinary knowledge into a single framework. This project presents a Fuzzy Cognitive Map (FCM) extended with intuitionistic fuzzy sets using the documentary coding method. This intuitionistic FCM (iFCM) is used to analyze the primary factors, explore the interactions between food waste factors, and prioritize some policies to reduce food waste by incorporating hesitancy weight factors representing the lack of information. Then several what-if scenario analyses are generated to review the interrelationships between factors in the developed model and facilitate a decision-making process for researchers. Eventually, it is concluded that food waste reduction is achievable with the implementation of the right policies, and this also improves the other concepts such as the intention not to food waste, shopping routines, and planning routines.

关键词： Food waste document coding Fuzzy cognitive map Intuitionistic fuzzy sets Intuitionistic fuzzy cognitive map

来源：评论

学校读者我要写书评

暂无评论

Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010

引用

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION 2011年第5期18卷 557-562页

作者： de Bruijn, Berry Cherry, Colin Kiritchenko, Svetlana Martin, Joel Zhu, Xiaodan Natl Res Council Canada Inst Informat Technol Ottawa ON K1A 0R6 Canada

Objective As clinical text mining continues to mature, its potential as an enabling technology for innovations in patient care and clinical research is becoming a reality. A critical part of that process is rigid benchmark testing of natural language processing methods on realistic clinical narrative. In this paper, the authors describe the design and performance of three state-of-the-art text-mining applications from the National Research Council of Canada on evaluations within the 2010 i2b2 challenge. Design The three systems perform three key steps in clinical information extraction: (1) extraction of medical problems, tests, and treatments, from discharge summaries and progress notes;(2) classification of assertions made on the medical problems;(3) classification of relations between medical concepts. Machine learning systems performed these tasks using large-dimensional bags of features, as derived from both the text itself and from external sources: UMLS, cTAKES, and Medline. Measurements Performance was measured per subtask, using micro-averaged F-scores, as calculated by comparing system annotations with ground-truth annotations on a test set. Results The systems ranked high among all submitted systems in the competition, with the following F-scores: concept extraction 0.8523 (ranked first);assertion detection 0.9362 (ranked first);relationship detection 0.7313 (ranked second). Conclusion For all tasks, we found that the introduction of a wide range of features was crucial to success. Importantly, our choice of machine learning algorithms allowed us to be versatile in our feature design, and to introduce a large number of features without overfitting and without encountering computing-resource bottlenecks.

关键词： natural language processing semantics classification/*methods computerized medical records systems patient discharge/*statistics & numerical data text mining concept detection relation extraction document coding machine learning modeling physiologic and disease processes linking the genotype and phenotype identifying genome and protein structure and function visualization of data and knowledge

来源：评论

学校读者我要写书评

暂无评论

Segmentation-driven compound document coding based on H.264/AVC-INTRA

引用

IEEE TRANSACTIONS ON IMAGE PROCESSING 2007年第7期16卷 1755-1760页

作者： Zaghetto, Alexandre de Queiroz, Ricardo L. Univ Brasilia Dept Elect Engn BR-70910900 Brasilia DF Brazil

In this paper, we explore H.264/AVC operating in intraframe mode to compress a mixed image, i.e., composed of text, graphics, and pictures. Even though mixed contents (compound) documents usually require the use of multiple compressors, we apply a single compressor for both text and pictures. For that, distortion is taken into account differently between text and picture regions. Our approach is to use a segmentation-driven adaptation strategy to change the H.264/AVC quantization parameter on a macroblock by macroblock basis, i.e., we deviate bits from pictorial regions to text in order to keep text edges sharp. We show results of a segmentation driven quantizer adaptation method applied to compress documents. Our reconstructed images have better text sharpness compared to straight unadapted coding, at negligible visual losses on pictorial regions. Our results also highlight the fact that H.264/AVC-INTRA outperforms coders such as JPEG-2000 as a single coder for compound images.

关键词： compound document compression document coding H.264/AVC mixed raster content

来源：评论

学校读者我要写书评

暂无评论

HIGH QUALITY SCANNED BOOK COMPRESSION USING PATTERN MATCHING

HIGH QUALITY SCANNED BOOK COMPRESSION USING PATTERN MATCHING

引用

IEEE International Conference on Image Processing

作者： Zaghetto, Alexandre de Queiroz, Ricardo L. Univ Brasilia BR-70910900 Brasilia DF Brazil

ISBN: (纸本)9781424479948

This paper proposes a hybrid approximate pattern matching/ transform-based compression engine. The idea is to use regular video interframe prediction as a pattern matching algorithm that can be applied to document coding. We show that this interpretation may generate residual data that can be efficiently compressed by a transform-based encoder. The novelty of this approach is demonstrated by using H. 264/AVC, the newest video compression standard, as a high quality book compressor. The proposed method uses segments of the originally independent scanned pages of a book to create a video sequence, which is encoded through regular H.264/AVC. Results show that the proposed method outperforms AVC-I (H.264/AVC operating in pure intra mode) and JPEG2000 by up to 4 dB and 7 dB, respectively. Superior subjective quality is also achieved.

关键词： H.264/AVC compression engine data compression document coding high quality scanned book compression hybrid approximate pattern matching pattern matching video coding video compression video interframe prediction

来源：评论

学校读者我要写书评

暂无评论

Digitizing, coding, annotating, disseminating, and preserving documents 06

Digitizing, coding, annotating, disseminating, and preservin...

引用

Proceedings of the 2006 international workshop on Research issues in digital libraries

作者： George Nagy Rensselaer Polytechnic Institute Troy NY

ISBN: (纸本)9781595936080

We examine some research issues in pattern recognition and image processing that have been spurred by the needs of digital libraries. Broader -- and not only linguistic -- context must be introduced in character recognition on low-contrast, tightly-set documents because the conversion of documents to coded (searchable) form is lagging far behind conversion to image formats. At the same time, the prevalence of imaged documents over coded documents gives rise to interesting research problems in interactive annotation of document images. At the level of circulation, reformatting document images to accommodate diverse user needs remains a challenge.

关键词： preservation digitization archiving document processing document coding document administration

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：