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Research analysis on the application of big data and artificial intelligence in Chinese medicine diagnosis

Research analysis on the application of big data and artific...

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Cloud computing, Big data and Internet of Things (3CBIT), international conference on

作者： Yanping Zhuang Xuan Zhang Simin Luo Guiling Lin Xiaoyu Tian Yi Chen Mingyin Lai Aimin Gong Department of Traditional Chinese Medicine Hainan Medical University Haikou China

ISBN: (纸本)9781665492263

The application of modern technologies such as big data and artificial intelligence in life and work has inspired scholars to apply them to Chinese medicine diagnosis. And the application of big data is just the right way to digitise and organise and classify millennia of knowledge, experience and literature on Chinese medicine diagnosis. Based on this, the robot will be made intelligent through artificial intelligence-related technology, thus promoting the transmission, development and innovation of Chinese medicine diagnosis. In this paper, the literature is obtained by searching the title "Big data TCM" or "Artificial Intelligence TCM" on CNKI. The obtained literature was read, analyzed and summarized in order to provide theoretical help for further realizing the objectification of TCM diagnosis.

关键词： Technological innovation Cloud computing Big data Internet of Things Artificial intelligence Robots

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Predictive Manufacturing: Enabling technologies, Frameworks and Applications 12th

Predictive Manufacturing: Enabling Technologies, Frameworks ...

引用

12th IFIP WG 5.5/SOCOLNET Advanced Doctoral conference on computing, Electrical and Industrial Systems, DoCEIS 2021

作者： Pulikottil, Terrin Estrada-Jimenez, Luis Alberto Nikghadam-Hojjati, Sanaz Barata, Jose Centre of Technology and Systems UNINOVA Instituto Desenvolvimento de Novas Tecnologias Caparica2829-516 Portugal Department of Electrical and Computer Engineering School of Science and Technology NOVA University of Lisbon Caparica2829-516 Portugal

ISBN: (纸本)9783030782870

The impact of globalization and the recent advancements in Information and Communication technologies has pushed the manufacturing sector towards a new transformation. Current manufacturers with the help of recent advances in Cloud computing, Artificial Intelligence, and Internet of Things are moving towards a new intelligent system called Predictive Manufacturing Systems (PMS). These systems can be used in a wide array of applications, including proactive maintenance, improved quality control and higher performance. This paper provides an overview of the current trends in Predictive Manufacturing Systems in recent years. The paper discusses the developed frameworks, enabling technologies and various applications of Predictive Manufacturing Systems. © 2021, IFIP international Federation for Information Processing.

关键词： data Analytics

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Insights into today’s cyber trends and threats : Meta and Base Classifier Models for Network Traffic Classification

Insights into today’s cyber trends and threats : Meta and B...

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advances in computing, Communication Control and Networking (ICAC3N), international conference on

作者： Rajeev Kumar Kavita Verma Department of Computer Science Chandigarh University Gharuan (Mohali)

The interconnectivity between the computers that provide a single network with lots of advantages is termed as the network. A network is a scenario that allow to collect and connect a number of computers for exchanging the information and offering facilities to other resources. To detect malicious activities from the network various classification techniques are designed. The existing technique is SVM which is applied to classify data into malicious and normal classes. This research work designed a stacking technique in order to classify the network traffic. The base classifier which is used, is known as SVM and meta-classifier is KNN classifier. The proposed model is the hybrid for the network traffic classification. Python is employed to execute the designed technique and the metrics namely accuracy, precision and recall are considered to analyze the designed technique.

关键词： Support vector machines Computers Measurement Computational modeling Stacking Telecommunication traffic Market research

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Burst-traffic based Dynamic Mobile Sink Path Planning in Wireless Sensor Networks

Burst-traffic based Dynamic Mobile Sink Path Planning in Wir...

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Advanced technologies in Intelligent Control, Environment, computing & Communication Engineering (ICATIECE), international conference on

作者： Humera Aqeel Lokesh Lodha Department of Computing Science & IT Teerthanker Mahaveer University Moradabad India Department of Engineering & Technology Jaipur National University Jaipur India

ISBN: (纸本)9781665493970

Due to its minimal protocol overhead, priori-trail planing for the mobile nodes is a frequent approach to data gathering in portable wireless sensor networks. Unfortunately, the trail-based methods do not have an effective load balancing mechanism to deal with the influx of WSN traffic that must be delivered to the ground station in a timely manner. In order to evenly distribute the load and prevent traffic jams, this article suggests using dynamic route planning for mobile sinks. It includes a grid-based network split, a priori-trail construction, knowledge and assessment of traffic spikes, a collaborative technique for sharing resources, and a dynamic routing adjustment. The suggested method has been tested experimentally on the NS-3 platform, where it was shown to achieve a low-delay and low-loss rate while balancing both steady and sudden data flows.

关键词： Wireless communication Wireless sensor networks Planing Protocols Packet loss Routing Path planning

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Vision Based Vehicle-Pedestrian Detection and Warning System

Vision Based Vehicle-Pedestrian Detection and Warning System

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advances in computing, Communication Control and Networking (ICAC3N), international conference on

作者： Bhumika Loungani Janvi Agrawal Lija Jacob Department of Data Science Christ University Pune India

Road Sense must be respected and obeyed by both the pedestrian and the driver. Moreover, urbanization has led to a steadfast rise in the fleet of vehicles, their speed, as well as non-compliance with road safety measures, and other such factors have provoked an inescapable increase of accidents in road traffic involving pedestrians. Pedestrian collisions can be predicted and prevented. At the very basic, there has to be vehicle and pedestrian detection along with speed estimation, which can be further applied to Vehicle-Pedestrian Collisions and various emerging fields like Industrial Automation, Transportation, Automotive, Security/Surveillance, or in Dangerous environments. This paper reviews the literature on vehicle and pedestrian detection based on two significant categories: pre-processing phase and detection phase, with a detailed comparative analysis. The papers reviewed cover video-based surveillance systems.

关键词： Automation Machine vision Semantics Estimation Video surveillance Road safety Vehicle dynamics

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Effectiveness Analysis Of Blockchain Mechanisms Using Consensus Algorithms

Effectiveness Analysis Of Blockchain Mechanisms Using Consen...

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advances in computing, Communication Control and Networking (ICAC3N), international conference on

作者： Munish Sabharwal Fayzullo Makhmadiyarovich Nazarov Bunyod Eshtemirov School of Computing Science & Engineering Galgotias University Samarkand State University

Recently, along with the development of information technology, blockchain technology has been developing all over the world. On the basis of blockchain technology, it will be possible to develop the digital economy, ensure information security, and increase reliability in data exchange. Due to the high potential of blockchain technology, it has led to the study of its wide application in various fields. These processes have led to the creation of blockchain-based systems for various purposes. Some blockchain mechanisms can also be used to increase data reliability in information systems that provide services in computer networks. However, at the same time, most of the blockchain-based systems have several disadvantages related to their performance and security. To solve these shortcomings, it is necessary to improve the security of blockchain-based systems. The main component of any blockchain-based system is its important consensus algorithm, which in many ways makes it possible to ensure the authenticity and security of information. Consensus algorithms serve to prove the authenticity of executed transactions. The application of consensus algorithms to the blockchain technology, depending on the functional task, allows to increase the reliability of the data. In this article, the effectiveness of using consensus algorithms based on blockchain mechanisms is studied.

关键词： Computer network reliability Information security Distributed information systems Consensus algorithm Computer networks Blockchains Reliability

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Novel Approach for Group Communications using various Cybersecurity Techniques

Novel Approach for Group Communications using various Cybers...

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advances in computing, Communication & Materials (ICACCM), 2020 international conference on

作者： Jayanth Anala Dhanush Reddy Pothala Ruthvik Reddy. T Manikandan K School of Computer Science and Engineering Vellore Institute of Technology Vellore

ISBN: (纸本)9781665474405

Internet surfers and smartphone owners frequently utilize chatting software, although these software applications are built with security encryption, cyber-attacks are created to break this encryption. This paper is concerned with the finding of the best cryptography algorithm, which is better safe for assaults, simple to encrypt and has more security features. When a message is being transmitted, message security is a crucial factor to take into account. Many cryptographic methods are used to do this. We will be comparing different types of cryptographic algorithms and coming up with a better and most secure application. We opted to compare Ron Rivest, Adi Shamir and Leonard Adleman algorithm (RSA), the Triple data Encryption Standard (3DES) algorithm and the Elliptic curve cryptography(ECC) since these three algorithms are the ones that messaging platforms utilize the most. As previously said, we'll use a few metrics to compare different cryptographic methods.

关键词： Measurement Three-dimensional displays Protocols Software algorithms NIST Elliptic curve cryptography Software

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Hindi and Kannada Twitter Sentiment Analysis Using Machine Learning Algorithm

Hindi and Kannada Twitter Sentiment Analysis Using Machine L...

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advances in computing, Communication Control and Networking (ICAC3N), international conference on

作者： Sumana Pradeep Kanchan Dept. of Computer Science and Engineering NMAM Institute of Technology-Affiliated to NITTE (Deemed to be University) Karkala India

Sentiment analysis is an important task in natural language processing. Twitter sentiment analysis (SA) is the most frequently researched discipline today. Only a few researchers have concentrated on multilingual twitter sentiment analysis, while the majority of scholars have worked on English twitter sentiment analysis. Recently, there seems to be a large increase in the quantity of data sets transmitted via social media in a variety of languages. This work examines the semantic nature of a text in order to classify positive and negative tweets using Hindi and Kannada language models, respectively. Machine learning models such as Naïve Bayes Classifier, KNeighbors’ Classifier, Decision Tree Classifier and Random Forest Classifier are used to tackle the classification task.

关键词： Sentiment analysis Analytical models Machine learning algorithms Social networking (online) Computational modeling Blogs Semantics

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Research Fronts on Plant Protection Unmanned Aerial Vehicle (UAV) from the Joint of Papers and Patents

Research Fronts on Plant Protection Unmanned Aerial Vehicle ...

引用

Cloud computing, Big data and Internet of Things (3CBIT), international conference on

作者： Hongjun Li Xiaona Liu Xiongkui He Library China Agricultural University Beijing China CAAS Institute of Food Science and Technology Beijing China College of Science China Agricultural University Beijing China

ISBN: (纸本)9781665492263

Plant protection unmanned aerial vehicle (UAV) has been greatly developed since the new millennium, and therefore many new technologies and products have emerged. It is difficult for researchers to seek key technologies and fronts from millions of publications. This paper established a process of publication search strategy and took plant protection UAV as an example to test the strategy. The search strategy of combination of paper and patent is a feasible method for screen research fronts. Agronomy and crop science is the most widely used field of plant protection UAV, followed by forestry and horticulture. China is a leading country on plant protection UAV and contributes most of the publications. South China Agriculture University, Shenzhen Dajiang Technology Co. Ltd. and Spanish National Research Council are among the top organizations. The fronts of plant protection UAV include detection and recognition of target and variable spraying, droplet deposition and drift, flight path design and anti-crash function, releasing of nature enemy.

关键词： Patents Target recognition Horticulture Spraying Crops Organizations Forestry

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Role of iot and big data support in healthcare

Role of iot and big data support in healthcare

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international conference on Computational Intelligence and Communication Technology, CICT 2019

作者： Yadav, Vikash Kundra, Parul Verma, Dhananjaya Department of Computer Science & Engineering ABES Engineering College Ghaziabad India Department of Computer Applications ABES Engineering College Ghaziabad India

ISBN: (纸本)9789811512742

Healthcare is one of the major sectors in any country, both in terms of the revenue that it generates and the services that it is providing to mankind, and also, it provides employment opportunities to millions of people. Healthcare sector comprises of technology-enabled health services, multi-facility hospitals, on board healthcare services and telemedicine, multifunction medical devices and specialized machines. In this paper, the role of Internet of things with the help of new technologies involved and big data has been shown towards the field of healthcare. © Springer Nature Singapore Pte Ltd. 2021.

关键词： Medical imaging

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