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Multi-Dimensional Practical Teaching Reform of Computer Basic Education in Art Universities

Multi-Dimensional Practical Teaching Reform of Computer Basi...

引用

IEEE international Symposium on Information (IT) in Medicine and Education, ITME

作者： Tong Chen Yaowei Xu Zhejiang Conservatory of Music Hangzhou China School of English Studies Shanghai International Studies University Shanghai China

ISBN: (纸本)9781728194202

In the digital Internet era, the computer has become more important in our lives. To meet the needs of society, we should carry out a series of scientific and practical teaching reforms in university computer courses. Especially in art universities, the computer courses' features still should conform to the characteristics of these art students. the computer basic education practical teaching reform is based on the multi-dimensional teaching methods and the teaching environment of art universities and use the Zhejiang Conservatory of Music as a case. It has carried out a series of effective curriculum reforms and practices: 1. Internet resources, including the ChaoXing online learning platform, Cloud disk, QQ, and WeChat; 2. Inter-school learning, on which the teachers from other schools share the teaching methods and resources with us in computer basic education. 3. other multiple teaching methods, including project-driven and curriculum content adjustment.

关键词： Cloud computing Art Social networking (online) Education Message service Information technology

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5G Network Slice - A URLLC Resource Allocation Perspective

5G Network Slice - A URLLC Resource Allocation Perspective

引用

New Technologies, Mobility and Security (NTMS)

作者： Christiano A. P. Rodrigues Dario Vieira Miguel F. de Castro Federal Uniersity of Ceara (UFC) Fortaleza Brazil EFREI-PARIS Paris France

the fifth generation wireless network, known as 5G, is the first network that was considered to meet some requirements to help IoT become a reality. 5G is also envisioned as a network that will support a diverse set of performance and service requirements and help create a wide range of vertical markets. One of the main facilitators of 5G that will provide such flexibility is slicing a single physical network into multiple isolated logical networks, each with different requirements. Different technologies have been studied to make it possible to create this end-to-end network on demand, such as Software Defined networking (SDN), Network Function Virtualization (NFV) and Cloud computing. However, allocating enough resources to guarantee the desired QoS for specific services even when this virtual network fails remains forgotten by the literature. In this paper, we identify challenges and open issues related to this subject. Moreover, we discuss relevant proposals and point some possible directions to overcome this problem.

关键词： Cloud computing 5G mobile communication Wireless networks Quality of service Ultra reliable low latency communication Network function virtualization Resource management

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Card Price Prediction of Trading Cards Using Machine Learning Methods 22nd

Card Price Prediction of Trading Cards Using Machine Learnin...

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11th international conference on Intelligent networking and Collaborative Systems (INCoS) / 22nd international conference on Network-Based Information Systems (NBiS)

作者： Sakaji, Hiroki Kobayashi, Akio Kohana, Masaki Takano, Yasunao Izumi, Kiyoshi Univ Tokyo Bunkyo Ku 7-3-1 Hongo Tokyo 1138654 Japan RIKEN AIP Ctr Chuo Ku Nihonbashi 1 Chome Mitsui Bldg15th Floor Tokyo 1030027 Japan Chuo Univ Shinjuku Ku 1-18 Ichigata Tamachi Tokyo 1628478 Japan Kitasato Univ Minami Ku 1-15-1 Kitasato Sagamihara Kanagawa 2520373 Japan

ISBN: (纸本)9783030290290;9783030290283

In this paper, we try to predict the card prices of the trading card game using their information. the trading card game market is growing by the increasing popularity of the board game or the digital card game in the e-sports in recent years. the trading card game is a kind of card game which two or more people plays a card with some text or symbols those characteristics expresses a ruling or interaction to the other card. this interaction of cards may work effectively in the game, prices of those card pairs will be increased with the popularity of its combination. We have a hypothesis that card text is useful for prediction of card prices from the importance of card combinations. therefore, in this research, we focus on not only the basic card information but also card text. Moreover, we use several machine learning method for prediction of card prices, and we analyze which machine learning method is an effect.

关键词： Forecasting

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Proceedings of 2020 IEEE/ACM Workshop on Machine Learning in High Performance computing Environments, MLHPC 2020 and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, AI4S 2020 - Held in conjunction with SC 2020: the international conference for High Performance computing, networking, Storage and Analysis

Proceedings of 2020 IEEE/ACM Workshop on Machine Learning in...

引用

6th IEEE/ACM Workshop on Machine Learning in High Performance computing Environments, MLHPC 2020 and 1st Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, AI4S 2020

ISBN: (纸本)9780738110783

the proceedings contain 11 papers. the topics discussed include: accelerate distributed stochastic descent for Nonconvex optimization with momentum;accelerating GPU-based machine learning in python using MPI library: a case study with MVAPICH2-GDR;deep learning-based low-dose tomography reconstruction with hybrid-dose measurements;EventGraD: event-triggered communication in parallel stochastic gradient descent;a benders decomposition approach to correlation clustering;high-bypass learning: automated detection of tumor cells that significantly impact drug response;deep generative models that solve PDEs: distributed computing for training large data-free models;automatic particle trajectory classification in plasma simulations;reinforcement learning-based solution to power grid planning and operation under uncertainties;and predictions of steady and unsteady flows using machine-learned surrogate models.

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Concept Proposal of Multi-layer Defense Security Countermeasures Based on Dynamic Reconfiguration Multi-perimeter Lines 22nd

Concept Proposal of Multi-layer Defense Security Countermeas...

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11th international conference on Intelligent networking and Collaborative Systems (INCoS) / 22nd international conference on Network-Based Information Systems (NBiS)

作者： Tanimoto, Shigeaki Takahashi, Yuuki Takeishi, Ayaka Wangyal, Sonam Dechen, Tenzin Sato, Hiroyuki Kanai, Atsushi Chiba Inst Technol Fac Social Syst Sci Chiba Japan Univ Tokyo Informat Technol Ctr Tokyo Japan Hosei Univ Fac Sci & Engn Tokyo Japan

ISBN: (纸本)9783030290290;9783030290283

With the rapid progress of the Internet, security incidents are increasing and are becoming more sophisticated. Current trends in security incidents include not only cyber security threats such as viruses, malware, and unauthorized access, but also methods of stealing information, such as phishing, shoulder hacking, and electromagnetic wave eavesdropping. thus, security incidents tend to diversify, and it is therefore important to consider physical countermeasures and psychological countermeasures other than the cyber security countermeasures typically taken. In this paper, in addition to the current cyber security countermeasures, we propose new multi-layer defense security countermeasures taking into consideration non-cyber security countermeasures that reflect physical viewpoints and psychological viewpoints. Specifically, we propose the concept of multi-layer defense security countermeasures based on dynamic reconfiguration multi-perimeter lines. Furthermore, a desktop simulation is performed with TPO (time, place, occasion) conditions in the office as specific perimeter lines, and the effectiveness of the concept is clarified. this contributes to the construction of a new paradigm of information security management in the digital transformation era.

关键词： Personal computing

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Sentimental Analysis of Twitter Comments on Covid-19

Sentimental Analysis of Twitter Comments on Covid-19

引用

international conference on Confluence the Next Generation Information Technology Summit (Confluence)

作者： Supriya Raheja Anjani Asthana Amity University Noida India

ISBN: (数字)9781665414517

ISBN: (纸本)9781665430340

the rise of social media offers users to share their state of mind and opinions in all aspects of their life. Vast amount of textual content is available and needs techniques to use of information meaningfully by separating and examining them. Sentimental Analysis mines the opinion of human being for a viewpoint. In this Pandemic condition of Corona, whole world is sharing their opinions on the social media. this paper shows a analysis of sentiments to get the opinion of people if they are positivity during this situation or not. the paper is using the technique of polarity to know the opinion is positive, negative, or nonpartisan [1]. three main keywords "COVID", "Corona virus" and "COVID-19" are used to check the polarity.

关键词： COVID-19 Social networking (online) Pandemics Blogs Media Corona

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Lexicon A Linguistic Approach for Sentiment Classification

Lexicon A Linguistic Approach for Sentiment Classification

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international conference on Confluence the Next Generation Information Technology Summit (Confluence)

作者： Ankita Sharma Udayan Ghose USICT Guru Gobind Singh Indraprastha University New Delhi India

ISBN: (数字)9781665414517

ISBN: (纸本)9781665430340

It is known that social media has become a part and parcel in everyone's life. Human emotions are constantly being expressed in real time on various social networking sites. the availability of an enormous amount of opinion rich data from various social networking sites has fueled interest in opinion mining and sentiment analysis. there are mainly two approaches for performing sentiment analysis that is a lexicon-based approach and a machine learning based approach. In this paper, we chose to limit our study to just the lexicon-based approach of sentiment analysis. Lexicon based approach relies on the lexicons for classifying input data. Lexicon is a set of words, idioms, phrases, etc. having a semantic meaning. In this paper, prior research done in lexicon-based sentiment analysis has been studied; Also, a review of some state-of-the-art lexicon-based solutions have been presented for polarity classification of Sentiment Analysis. this paper is mainly oriented towards the various lexicons used for polarity classification.

关键词： Sentiment analysis Systematics Social networking (online) Semantics Machine learning Linguistics Real-time systems

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ICPE 2020 - Companion of the ACM/SPEC international conference on Performance Engineering

ICPE 2020 - Companion of the ACM/SPEC International Conferen...

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11th ACM/SPEC international conference on Performance Engineering, ICPE 2020

ISBN: (纸本)9781450371094

the proceedings contain 16 papers. the topics discussed include: performance anomaly and change point detection for large-scale system management;extended abstract of performance analysis and prediction of model transformation;issues arising in using kernel traces to make a performance model;how to apply modeling to compare options and select the appropriate cloud platform;towards performance modeling of speculative execution for cloud applications;kubernetes: towards deployment of distributed IoT applications in fog computing;acceleration opportunities in linear algebra applications via idiom recognition;and tutorial on benchmarking big data analytics systems.

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A Comprehensive Survey on Effective Feature Selection Approaches for Text Sentiment Classification Process

A Comprehensive Survey on Effective Feature Selection Approa...

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international conference on Confluence the Next Generation Information Technology Summit (Confluence)

作者： Abha Kiran Rajpoot Parma Nand Ali Imam Abidi Sharda University Greater Noida India

ISBN: (数字)9781665414517

ISBN: (纸本)9781665430340

Feature Selection (FS) is the selection of certain features by using a criterion assessment application. In the age of technological advancements and innovations, there has been a significant rise in the use of different social networking applications such as Facebook, YouTube, Twitter, and e-commerce platforms such as Amazon, Alibaba, Flipkart, and others. It has increased the use of sentiment analysis in the different real-world applications so that there is a classification of text in different preset polarities such as optimistic, pessimistic, and impartial. the current research aims to find out the selection process involved in choosing the optimal features for classification using sentimental textual data. the study presents the scope of the sentimental analysis using textual data, fundamentals of the classification process, and the significance of the feature selection schemes so that there is an implementation of effective feature selection for text classification and analysis of sentiments.

关键词： Technological innovation Sentiment analysis Social networking (online) Text categorization Blogs Web pages Feature extraction

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Optimal Placement of distributed Generators for Maximum Savings using PSO-SSA Optimization Algorithm

Optimal Placement of Distributed Generators for Maximum Savi...

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international conference on Confluence the Next Generation Information Technology Summit (Confluence)

作者： Rafi Vempalle Dhal P. K Electrical and Electronics Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (数字)9781665414517

ISBN: (纸本)9781665430340

Hybrid optimization is used by reconfiguration, type-1 and type-2 distributed generators (DG) placement to enhancing savings. For reconfiguration and DG positioning the PSO and SSA are used, respectively. For this algorithm, the main goal is to optimize the economy by cutting down losses, involving failure costs. On two radial distribution systems (RDS), which are 33 (RDN) and 69 (RDN), the suggested algorithm is tested. DG's implementation and maintenance costs are included in the aim of hybrid optimization during DG installation, along with restructuring and without restructuring.

关键词： Maintenance engineering Generators Hybrid power systems Optimization

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