检索结果-内蒙古大学图书馆

5th Hamzanwadi International conference of Technology and Education 2019

作者： Hafiz, Alwan Kaelani, Aswan Universitas Hamzanwadi Lombok Timur Indonesia

The aims of this research is to find out whether there were significant differences between student achievement which is taught using a visual audio media with student achievement in teaching without using media audio visual media in learning pemboyaq dance for ViiI grade student in junior high school 2 Keruak in the 2016/2017 academic year. This is an actual experimental research which conducted at class ViiI grade in junior high school that consist of 5 classes. The sample in this research were student of class ViiI.1 as an experimental group with 28 students consist of 12 boys and 16 girls, and class ViiI.2 as a control group with 26 students consist of 11 boys and 15 girls. The sampling technique with random sampling and data analysis using inferential statistic. The test results using statistic obtained number which shows that t-count > t-table or (2.247) > t-table value (2.0095). This hypothesis proposed in chapter ii is acceptable. Thus, there is an influence on pemboyaq dance for eight grade students in junior high school. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation 35

VALUE: A Multi-Task Benchmark for Video-and-Language Underst...

引用

35th conference on Neural Information Processing Systems - Track on datasets and Benchmarks, NeurIPS datasets and Benchmarks 2021

作者： Li, Linjie Lei, Jie Gan, Zhe Yu, Licheng Chen, Yen-Chun Pillai, Rohit Cheng, Yu Zhou, Luowei Wang, Xin Eric Wang, William Yang Berg, Tamara L. Bansal, Mohit Liu, Jingjing Wang, Lijuan Liu, Zicheng Microsoft Corporation United States UNC Chapel Hill United States UC Santa Cruz United States UC Santa Barbara United States Tsinghua University China

Most existing video-and-language (VidL) research focuses on a single dataset, or multiple datasets of a single task. In reality, a truly useful VidL system is expected to be easily generalizable to diverse tasks, domains, and datasets. To facilitate the evaluation of such systems, we introduce Video-And-Language Understanding Evaluation (VALUE) benchmark, an assemblage of 11 VidL datasets over 3 popular tasks: (i) text-to-video retrieval;(ii) video question answering;and (iii) video captioning. VALUE benchmark aims to cover a broad range of video genres, video lengths, data volumes, and task difficulty levels. Rather than focusing on single-channel videos with visual information only, VALUE promotes models that leverage information from both video frames and their associated subtitles, as well as models that share knowledge across multiple tasks. We evaluate various baseline methods with and without large-scale VidL pre-training, and systematically investigate the impact of video input channels, fusion methods, and different video representations. We also study the transferability between tasks and conduct multitask learning under different settings. The significant gap between our best model and human performance calls for future study for advanced VidL models. © 2021 Neural information processing systems foundation. All rights reserved.

关键词： Video analysis

来源：评论

学校读者我要写书评

暂无评论

Intelligent Image Collection: Building the Optimal dataset

Intelligent Image Collection: Building the Optimal Dataset

引用

IEEE/CVF Winter conference on Applications of Computer Vision (WACV)

作者： Gwilliam, Matthew Farrell, Ryan Brigham Young Univ Provo UT 84602 USA

ISBN: (数字)9781728165530

ISBN: (纸本)9781728165530

Key recognition tasks such as fine-grained visual categorization (FGVC) have benefited from increasing attention among computer vision researchers. The development and evaluation of new approaches relies heavily on benchmark datasets;such datasets are generally built primarily with categories that have images readily available, omitting categories with insufficient data. This paper takes a step back and rethinks dataset construction, focusing on intelligent image collection driven by: (i) the inclusion of all desired categories, and, (ii) the recognition performance on those categories. Based on a small, author-provided initial dataset, the proposed system recommends which categories the authors should prioritize collecting additional images for, with the intent of optimizing overall categorization accuracy. We show that mock datasets built using this method outperform datasets built without such a guiding framework. Additional experiments give prospective dataset creators intuition into how, based on their circumstances and goals, a dataset should be constructed.

关键词： Birds Loss measurement visualization Training Testing Image recognition Task analysis

来源：评论

学校读者我要写书评

暂无评论

Behavioral Sentiment analysis of Depressive States 11

Behavioral Sentiment Analysis of Depressive States

引用

11th IEEE International conference on Cognitive Infocommunications (CogInfoCom)

作者： Esposito, Anna Raimo, Gennaro Maldonato, Mauro Vogel, Carl Conson, Massimiliano Cordasco, Gennaro Univ Campania L Vanvitelli Dept Psychol Naples Italy Int Inst Adv Sci Studies IIASS Vietri Italy Univ Napoli Federico II Dept Neurosci Naples Italy Trinity Coll Dublin Sch Comp Sci & Stat Dublin Ireland

ISBN: (纸本)9781728182131

The need to release accurate and incontrovertible diagnoses of depression has fueled the search for new methodologies to obtain more reliable measurements than the commonly adopted questionnaires. In such a context, research has sought to identify non-biased measures derived from analyses of behavioral data such as voice and language. For this purpose, sentiment analysis techniques were developed, initially based on linguistic characteristics extracted from texts and gradually becoming more and more sophisticated by adding tools for the analyses of voice and visual data (such as facial expressions and movements). This work summarizes the behavioral features accounted for detecting depressive states and sentiment analysis tools developed to extract them from text, audio, and video recordings.

关键词： depression sentiment analysis speech videos texts faces language behaviors

来源：评论

学校读者我要写书评

暂无评论

The Cancer Positive Journey: A System Design Thinking Perspective 8th

The Cancer Positive Journey: A System Design Thinking Perspe...

引用

8th International conference on Research into Design, ICoRD 2021

作者： Shah, Alishka National Institute of Design Paldi Ahmedabad380007 India

ISBN: (纸本)9789811601187

Background Breast cancer, one of the most common invasive cancers for women both in the developed and developing world, poses a threat as a multi-dimensional malignancy branching out into an array of medical, physical, financial, social, emotional and sexual turmoil. This paper reports research that has been carried out in an academic pursuit for answers to queries encapsulating the social perception, impact and aftermath of breast cancer—affiliated healthcare systems, effective caregiving, healthy coping and holistic healing mechanisms. Objective The study aims at presenting the illness and its negative imprints as a cumulative concern, instead of singularly scrutinizing it through a clinical lens. It urges practitioners and caregivers to innovate and intervene at three identified and overlapping target phases of the journey: (i) awareness and diagnosis, (ii) short-term healing and (iii) long-term recovery. Methodology With underlying system design practices, this qualitative study was conducted as a part of a visual communication project under the graphic design department at National Institute of Design, Ahmedabad. The deployed methodology made use of empathy mapping, opportunity mapping, gigamaping, interviews and questionnaires as tools to engage the two stakeholder groups, one including health care providers, patients and their support systems personifying direct stakeholders of the journey and the second being a group of general participants embodying indirect stakeholders. Conclusion This approach devised cancer positive, a collective and curative movement, which provides a systemic solution to downsize the trauma of the illness, foster interpersonal relationships and eradicate the perceived and actual stigma attached to breast cancer. The proffered system provides strategies for accessible and responsive caregiving, remote monitoring, telemedicine and behavioural modification by proposing an allocated breast cancer data unit. This paper primarily elaborates

关键词： Systems analysis

来源：评论

学校读者我要写书评

暂无评论

Topic Tomographies (TopTom): a visual approach to distill information from media streams

引用

COMPUTER GRAPHICS FORUM 2019年第3期38卷 609-621页

作者： Gobbo, B. Balsamo, D. Mauri, M. Bajardi, P. Panisson, A. Ciuccarelli, P. Politecn Milan Milan Italy ISI Fdn Turin Italy Univ Turin Turin Italy

In this paper we present Top Tom, a digital platform whose goal is to provide analytical and visual solutions for the exploration of a dynamic corpus of user-generated messages and media articles, with the aim of i) distilling the information from thousands of documents in a low-dimensional space of explainable topics, ii) cluster them in a hierarchical fashion while allowing to drill down to details and stories as constituents of the topics, iii) spotting trends and anomalies. Top Tom implements a batch processing pipeline able to run both in near-real time with time stamped data from streaming sources and on historical data with a temporal dimension in a cold start mode. The resulting output unfolds along three main axes: time, volume and semantic similarity (i.e. topic hierarchical aggregation). To allow the browsing of data in a multiscale fashion and the identification of anomalous behaviors, three visual metaphors were adopted from biological and medical fields to design visualizations, i.e. the flowing of particles in a coherent stream, tomographic cross sectioning and contrast-like analysis of biological tissues. The platform interface is composed by three main visualizations with coherent and smooth navigation interactions: calendar view, flow view, and temporal cut view. The integration of these three visual models with the multiscale analytic pipeline proposes a novel system for the identification and exploration of topics from unstructured texts. We evaluated the system using a collection of documents about the emerging opioid epidemics in the United States.

关键词： CCS Concepts • Human‐centered computing → visualization • Information systems → Document topic models Expert search

来源：评论

学校读者我要写书评

暂无评论

An automated visual recognition system to counteract illegal dumping in smart cities 26

An automated visual recognition system to counteract illegal...

引用

26th International DMS conference on visualization and visual Languages, DMSVIVA 2020

作者： Coccoli, Mauro De Francesco, Vincenzo Fusco, Antonio Maresca, Paolo DIBRIS University of Genoa Genoa Italy DIETI Federico II Naples University Naples Italy Asia Napoli S.p.A. Naples Italy

ISBN: (纸本)1891706519

In this paper we will describe the prototype form of an automated visual recognition system designed to mitigate illegal dumping, as the outcome of an experiential learning activity. The presented solution relies on the sensor networks of a smart city where the waste management system is supposed to be integrated with other municipality services for environment control and management. In particular, we want to take advantage of the pictures, frames and videos continuously recorded by cameras installed in the cities for traffic monitoring, for surveillance or any other reason. Such data are processed by means of cognitive computing techniques and a specific algorithm of image analysis has been trained to identify trash, especially bulky waste, where it should not be, and trigger an alarm to the municipality. Besides, an organization plan is also proposed for intelligent waste collection as well as some organizational ideas for scalability. The learning activity has been conducted within the program "Party Cloud Challenge per Genova" promoted by IBM in collaboration with the city municipality of Genoa, Italy. © 2020 DMSVIVA 2020 - Proceedings of the 26th International DMS conference on visualization and visual Languages. All rights reserved.

关键词： Waste management

来源：评论

学校读者我要写书评

暂无评论

新时代社会主义意识形态凝聚力和引领力建设研究综述 ——基于CiteSpace的文献计量与可视化分析

引用

昆明理工大学学报（社会科学版） 2024年第6期24卷 71-80页

作者：王肖东东北师范大学思想政治教育研究中心吉林长春130024

全国宣传思想文化工作会议强调新时代新征程要着力建设具有强大凝聚力和引领力的社会主义意识形态。新时代以来,我国学者围绕“建设具有强大凝聚力和引领力的社会主义意识形态”开展系列研究。以中国学术期刊全文数据库为数据源,依托Cit... 详细信息

全国宣传思想文化工作会议强调新时代新征程要着力建设具有强大凝聚力和引领力的社会主义意识形态。新时代以来,我国学者围绕“建设具有强大凝聚力和引领力的社会主义意识形态”开展系列研究。以中国学术期刊全文数据库为数据源,依托CiteSpace数据处理工具,从整体研究态势、发文机构及作者、研究热点及趋势、研究视角等方面对党的十八大以来关于新时代社会主义意识形态凝聚力和引领力建设的相关文献进行可视化分析及质性分析。研究发现:整体发文量呈上升态势;研究机构和学者形成了一定合作关系;研究热点聚焦学理阐释、话语权建设、习近平总书记关于意识形态建设的重要论述以及互联网和全媒体融合发展带来的机遇和挑战等方面;研究趋势呈现出理论深究向实践探索的延伸、现实性和时代性的彰显;研究视角含括科学内涵阐释、内在逻辑厘析、现实状况考察、实践对策探寻、网络视域探究。未来研究应以多学科视野拓展研究广度和深度,以多元化研究方式丰富研究类型,以现实性为落脚点推进研究微观聚焦。

关键词：社会主义意识形态凝聚力引领力新时代 CiteSpace

来源：评论

学校读者我要写书评

暂无评论

visual exploration of Time Series Anomalies with Metro-Viz 19

Visual Exploration of Time Series Anomalies with Metro-Viz

引用

ACM SIGMOD International conference on Management of data (SIGMOD)

作者： Eichmann, Philipp Solleza, Franco Tatbul, Nesime Zdonik, Stan Brown Univ Providence RI 02912 USA Intel Labs Cambridge MA USA MIT 77 Massachusetts Ave Cambridge MA 02139 USA

ISBN: (纸本)9781450356435

This demo presents a novel data visualization solution for exploring the results of time series anomaly detection systems. When anomalies are reported, there is a need to reason about the results. We introduce Metro-Viz - a visual tool to assist data scientists in performing this analysis. Metro-Viz offers a rich set of interaction features (e.g., comparative analysis, what-if testing) backed by data management strategies specifically tailored to the workload. We show our tool in action via multiple time series datasets and anomaly detectors.

关键词： time series anomaly detection visual analysis

来源：评论

学校读者我要写书评

暂无评论

A visual analytics system of data gathered from colonial seabirds 23

A visual analytics system of data gathered from colonial sea...

引用

23rd International conference on the Information visualisation (IV) - Incorporating Biomedical visualization, Learning Analytics and Geometric Modelling and Imaging

作者： Palleschi, Alessia Crielesi, Matteo Univ Roma La Sapienza Engn Comp Sci Rome Italy

ISBN: (纸本)9781728128382

visual environment techniques can support an easy exploration of large datasets. A visual environment has been developed to explore the breeding data of a monogamous and nest-site faithful seabird, the Scopoli's shearwater. The aim was to provide a tool, easy-to-use for ornithologists, to examine the history of the nests, and the relationships of the various factors affecting the variability in the breeding success during a four year time period. The tool is based on four coordinated views, linked to each other and to the dataset, each showing a different grouping of data according with spatial, temporal, and categorical criteria. This tool can help the ornithologists to pick up easily the similarities and differences between the nests and offers a new instrument for the first exploration of data.

关键词： visual Analytics Shearwater breeding biology analysis of breeding data pair fidelity nest fidelity

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：