检索结果-内蒙古大学图书馆

IEEE International conference on Blockchain and Cryptocurrency (ICBC)

作者： Seng Kuang Yap Zhongli Dong Mark Toohey Young Choon Lee Albert Y. Zomaya Aglive Research Geelong VIC Australia Center for Distributed and High Performance Computing School of Computer Science The University of Sydney NSW Australia University of Nicosia Cyprus School of Computing Macquarie University Sydney NSW Australia

Blockchain technology has attracted significant industry, academic, and governmental attention since its emerged in 2008. Blockchain use cases are now being explored by traditional, transaction-oriented businesses in the finance, insurance, logistics and healthcare sectors to name a few. This has expanded further with the widespread use of Internet of Things (IoT) devices. Massive amounts of data are generated by IoT devices and are recorded in the blockchain. While blockchain provides many advantages, such as immutability and transparency, its serialized nature makes impossible to read in a single query. Multiple requests are required even for simple tasks, such as displaying an account's transaction history. This further leads to the difficulty in understanding the data in the blockchain. In this paper, we address the problem of smart contract visualization in a real-time manner. To this end, we design a visualization dashboard for smart contracts. A visual aid for massive amounts of data helps users understand the blockchain's overall activities, uncover operational risks and provide critical intelligence by visualising unusual activities and connections. Such insights may enable the user to investigate and predict any anomalies or reveal any network vulnerabilities. Cattle farm selected as a use case because the voluminous data can be acquired from IoT sensors on the farm cattle. Our dashboard has been proven to help visualize the life cycle of animals, the distribution of activities and time factor analysis. This visualization can give a user a better perspective of the token functions and results as well as animal management issues.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Programming Languages: A Usage-based Statistical analysis and visualization 21

Programming Languages: A Usage-based Statistical Analysis an...

引用

4th International conference on Information Science and Systems, ICISS 2021

作者： Orlowska, Aleksandra Chrysoulas, Christos Jaroucheh, Zakwan Liu, Xiaodong Edinburgh Napier University Edinburgh United Kingdom

ISBN: (纸本)9781450389136

Understanding the popularity, and its trend, of programming languages can be important to anticipate which languages are best studied for future use, which are widely supported for use in enterprise projects, and investigate which skills are easiest to recruit for. In addition, popularity of languages used together can indicate tight communities of languages. This project aims to discover the current state of language popularity and use historical data to understand their respective trends. data was sourced and processed from GitHub project language data and StackOverflow question tags be-tween 2008 and 2020. This data is then collated into visualizations with the aim of understanding popularity of languages in isolation, and in tandem. Several different visualizations were utilized, each giving different perspectives on the data. The findings were analyzed and discussed with a view to adequately identify the current trends in programming languages. From the results, it is understood that JavaScript is leading programming language in popularity in isolation. HTML and CSS are languages are commonly used in tandem with JavaScript. © 2021 ACM.

关键词： visualization

来源：评论

学校读者我要写书评

暂无评论

Analyzing the Research Hotspots and Trends in Crisis Leadership in the Big data Era —— A Bibliometric visualization analysis Based on WoSCC

Analyzing the Research Hotspots and Trends in Crisis Leaders...

引用

International conference on Big data and Information Analytics (BigDIA)

作者： Jiali Luo Qingqing Yang Guangda Liu College of Systems and Engineering National University of Defense Technology Changsha China

In order to comprehensively understand the development context and evolution trends of international crisis leadership research in the big data era, this study uses the journal papers retrieved from the Science Citation Index Expanded (SCI-EXPANDED) and Social Sciences Citation Index (SSCI) databases of the Web of Science Core Collection (WoSCC) as the main data source, and with the help of visual analysis tool CiteSpace software, carries out a scientific literature metric analysis on the core authors, research countries, research institutions, publishing journals, theme keywords, and hotspot trends of international crisis leadership research. The series of knowledge maps are drawn. The results show that: ① The annual number of publications on crisis leadership research has experienced three stages: a slow growth period (2002-2008), a significant growth period (2009-2019), and a rapid growth period (2020-2023). The cumulative publication volume shows a continuous increase trend. ② The crisis leadership field research literature mainly comes from a few core author groups, and the research of core authors has laid the foundation for crisis leadership. ③ The United States ranks first among the countries conducting research on crisis leadership, followed by England, and China is the most productive country in Asia.

关键词：

来源：评论

学校读者我要写书评

暂无评论

analysis of Cyclical Fluctuations in the Chinese Stock Market Using Non-Harmonic analysis: Market Responses to Major Economic Events

Analysis of Cyclical Fluctuations in the Chinese Stock Marke...

引用

International conference on Systems and Informatics (ICSAI)

作者： Li Ma Yuki Kojima Keisuke Nomoto Masya Hasegawa Shigeki Hirobayashi Graduate School of Science and Engineering University of Toyama Toyama Japan

ISBN: (数字)9798331510138

ISBN: (纸本)9798331510145

This study employs Non-Harmonic analysis (NHA) to investigate the cyclical characteristics and market response patterns of the Chinese stock market during two critical periods: 2006–2008 and 2014–2016. By analyzing daily frequency data from the Shanghai Composite Index (SSEC), the study identifies the dynamic behavior of short-term (32–64 days), medium-term (128 days), and long-term (256 days and beyond) cycles. The findings demonstrate that short-term cycles capture the market's immediate reactions, medium-term cycles serve as a transition between short-term and long-term trends, and long-term cycles reflect the market's adaptation to macroeconomic conditions. Under the influence of major events, such as the Lehman Brothers collapse and the RMB devaluation, the market exhibited a dynamic transition from short-term speculative activity to long-term adjustment. The application of NHA effectively uncovers market patterns across various time scales, offering significant insights for understanding market behavior, risk management, and policy-making.

关键词： Economics visualization Fluctuations Statistical analysis Electric shock Refining Market research Risk management Indexes Stock markets

来源：评论

学校读者我要写书评

暂无评论

Speech Mastery Detection Using Advanced Natural Language Processing (NLP) and Automatic Speech Recognition (ASR) Techniques

Speech Mastery Detection Using Advanced Natural Language Pro...

引用

Artificial Intelligence and Signal Processing (AISP), INDIA, International conference on

作者： Pratikhya Raut Korikana Anitha Sasubilli Sowmya Kongara Vinnu Department of Electronics and Communication Engineering Velagapudi Ramakrishna Siddhartha Engineering College Deemed to be University Andhra Pradesh India

ISBN: (数字)9798350350654

ISBN: (纸本)9798350350661

In today's globalized world, English communication skills are essential for career advancement and cross-cultural collaboration, enhancing access to information and opportunities. Automatic speech recognition, or ASR, is a separate machine-driven method for transcription and decoding spoken language. An ASR system typically uses a microphone to capture a speaker's audio input, analyze it using a model, algorithm, or pattern, and output the results, which are often text messages (Lai, Karat, Yankelovich, 2008). This paper provides a thorough method for utilizing Python-based tools and modules to extract and analyze linguistic characteristics from audio data. The suggested approach turns spoken language into text using voice recognition technology, and then it uses natural language processing (NLP) methods to extract different linguisticmetrics. Word count, sentence count, vocabulary size, average sentence length, average word length, sentiment score, speech pace, frequency of pauses, and average length of pauses are some of these measures. The technique also determines the speaker's speaking style. Keywords: audio analysis, linguistic features, natural language processing, pause detection, speech recognition, sentiment analysis, visualization.

关键词： Training Vocabulary Sentiment analysis Signal processing algorithms Linguistics Feature extraction Size measurement Frequency measurement Speech processing Automatic speech recognition

来源：评论

学校读者我要写书评

暂无评论

The analysis Description Language ecosystem: Latest developments and physics applications 42

The Analysis Description Language ecosystem: Latest developm...

引用

42nd International conference on High Energy Physics, ICHEP 2024

作者： Sekmen, Sezen Ünel, Gökhan Prosper, Harrison B. Fedyukovich, Grigory Riley, Daniel Şen, Burak Waltenberger, Wolfgang Lee, Junghyun Adıgüzel, Aytül Özcan, Erkcan Sansar, Ahmetcan Demirbağ, Demircan Şahan, Kağan Başpehlivan, Feyza Kyungpook National University Department of Physics Daegu Korea Republic of University of California Department of Physics and Astronomy IrvineCA United States Florida State University Department of Physics TallahasseeFL United States Middle East Technical University Department of Physics Ankara Turkey University of Vienna Faculty of Physics Wien Austria Istanbul University Department of Physics Istanbul Turkey Boğaziçi University Department of Physics Istanbul Turkey TOBB University of Economics and Technology Ankara Turkey

We present latest developments in analysis Description Language (ADL), a declarative domain-specific language describing the physics algorithm of a HEP data analysis decoupled from software frameworks. Analyses written in ADL can be integrated into any framework for various tasks. ADL is a multipurpose construct with uses ranging from analysis design to preservation, reinterpretation, queries, visualisation, combination, etc. The most advanced infrastructure to execute ADL on events is the CutLang runtime interpreter. Recent technical developments include an automated interface with different data types, generation of the abstract syntax tree, a visualization tool that that auto-converts analysis flows to graphs, incorporation of trained machine learning models and a Jupyter-based plotting tool. We also report physics implications including a large scale LHC analysis implementation and validation effort for beyond the standard model reinterpretation purposes and studies with ATLAS and CMS open data. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

关键词： Computer hardware description languages

来源：评论

学校读者我要写书评

暂无评论

Research on Forest Landscape based on Big data and CiteSpace visualization analysis

Research on Forest Landscape based on Big data and CiteSpace...

引用

3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME), International conference on

作者： Xinya Lin Han Xu Jianwen Dong Fujian Agriculture and Forestry University Fuzhou China

In order to fully grasp the development and research status of forest landscape ecology, this paper analyzed the literatures related to forest landscape from 1982 to 2020 on CNKI and Wanfang data Service platform. Based on Python language environment, this paper uses Scrapy framework to extract literature data, and uses CiteSpace visual analysis software to draw knowledge map. It analyzes and visualizes the amount of articles published, research groups, research hotspots and trends. The results showed that: (1) the development process of forest landscape ecology research was divided into three stages: initial exploration period from 1982 to 2002, rapid development period from 2003 to 2008, and stable development period from 2009 to present. (2) The number of scholars in this field is relatively large and scattered, and the influential core author group and institutional group has not yet been formed; (3) The hot research directions are forest landscape pattern, sustainable development of forest, and forest landscape planning and design. (4) The focus of forest landscape ecology research has gradually shifted from geographic information system to eco-tourism, urban forest and planning and design, and the research has become specialized and meticulous.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An analysis of the Research Situation of China’s National Security—Based on the Perspective of Social Network analysis 1

引用

11th International conference on Frontier Computing, FC 2021

作者： Wu, ZhengJi Yang, LiangBin University of International Relations Beijing China

ISBN: (数字)9789811680526

ISBN: (纸本)9789811680519

[Objective/Meaning] As a new discipline, national security has developed rapidly in China in recent years. It is more intuitive and clearer to use social networks to conduct research situation analysis. [Methods] The main methods of this study include: keyword analysis, bi-cluster thematic analysis, citation curve analysis, author role research, research institution role research. [Procedures] This article is based on the keywords of "National Security|National Security Concept" in the CNKI database from 1997 to 2016, using SCI, CSSCI, Peking University core journals and other databases as the journal source, using the network analysis software Ucinet, Gephi professional functions and the drawing software Origin8 conducts research and analysis on keywords, authors, research institutions, and the number of citation documents, draws network maps, citation curves, and explores the development trend of China’s national security studies. [Results/Conclusions] Although China’s national security studies are an emerging discipline, preliminary construction has been completed. From the traditional level of national security studies to "network security", "data security", and "ideology" Security "and other soft power security transitions. It is precisely because of the numerous branches and rapid updates of the discipline of international security that the relationships between scholars involved in research are not as close as in other disciplines. However, the number of institutions participating in the research is very large. Among them, Peking University, the Chinese Academy of Sciences, and the Institute of International Relations are the main institutions. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： National security

来源：评论

学校读者我要写书评

暂无评论

A visual comparative analysis of research progress on digital transformation in China and other countries

A visual comparative analysis of research progress on digita...

引用

2021 International conference on E-Commerce and E-Management, ICECEM 2021

作者： Zhang, Ruying Bai, Quanmin Zhang, Xu Wang, Jinying Qilu University of Technology Shandong Institute of Science and Technology Development Strategy Shandong Academy of Sciences Jinan China

ISBN: (纸本)9781665410250

Digital transformation has become one of the current areas of widespread interest among scholars in China and other countries. This paper uses a combination of quantitative and qualitative approaches to systematically compare and analyze 403 foreign and 302 Chinese literatures from 2008 to 2020 in terms of research foundations, research hotspots and research trends, and to grasp the similarities, differences and development trends of their research progress. The research results show that: (1) In recent years, both China and foreign research as a whole has shown rapid development, but the high citation characteristics of foreign literature are obvious, and there are strong collaborative relationships among scholars, and some cooperative groups have begun to form;(2) Both China and foreign research pay attention to the driving role of digital technology for digital transformation at the technical level, the supporting role of national related strategies at the macro level, and the transformation of enterprises at the micro level;(3) In terms of research trends, the continuity of foreign research content is stronger, the system is in a state of gradual improvement, and more emphasis is placed on the driving role of digital technology. In recent years, China has begun to increase research on data governance. On this basis, this paper elaborates and outlooks future research directions based on four dimensions: Chinese scenario, dual dimension of technology and management, influencing factors and behavioral strategies, common problems and individual needs. © 2021 IEEE.

关键词： visualization Digital transformation Collaboration Market research data governance Electronic commerce

来源：评论

学校读者我要写书评

暂无评论

A bibliometric analysis of house prices determination

引用

AIP conference Proceedings 2023年第1期2896卷

作者： Nerda Zura Zaibidi Siti Aisyah Saupi Muhammad Ridhuan Bos Abdullah Zuraidah Sulaiman School of Quantitative Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia School of Economics and Finance Universiti Utara Malaysia 06010 Sintok Kedah Malaysia Azman Hashim International Business School Universiti Teknologi 81310 Johor Malaysia

This paper presents a bibliometric analysis on house price determination based on articles in Scopus database. The objective of this paper is to analyse scientific research on house price by using bibliometric approach. This paper analysed 408 articles from Scopus database. VOSviewer software was used for data visualization, while Microsoft Excel was used for data analysis. This paper presents year of publications, most active journals, keywords analysis and most influential country. The analysis reveals that the highest number of reported publications is in 2008 and most articles were published in Journal of Urban Economics. Of the 612 keywords, 25 were brought into visualization and United States is the most influential countries.

关键词：

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：