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Simulation Analysis of Self-balancing Chassis Based on ADMAS Software

Simulation Analysis of Self-balancing Chassis Based on ADMAS...

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international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Yang, Liu Liu, Shunan Liu, Li College of Intelligent Manufacturing Changchun SCI-TECH University Changchun130600 China

ISBN: (纸本)9783030433055

Research and analysis a self-balancing obstacle-crossing vehicle to walk on unstructured and complex ground. In this paper, the overall design scheme is analyzed, and the innovative points of the design research are put forward. The mechanical structure of self-balancing obstacle-crossing chassis was designed, modeled and assembled by using CATIA three-dimensional drawing software. The results of the final datas show that the strength and stiffness of the model design system meet the requirements of static design. The simulation results of ADAMS show that the maximum obstacle-crossing height is 210 mm and the maximum swing angle of swing arm is 37.2°, which verifies that the data designed in this paper meets the original design requirements. © Springer Nature Switzerland AG 2020.

关键词： Chassis

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smart intelligent troubleshooter to solve windows operating system specific issues 2

Smart intelligent troubleshooter to solve windows operating ...

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2nd international conference on Advancements in computing, ICAC 2020

作者： Rajapakshe, D.I.K. Shamil, M.P.P. Paththinisekara, P.M.C.P. Liyanage, S.K. Arachchillage, Udara Srimath S. Samaratunge Kuruppu, Anuththara Faculty of Computing Malabe Sri Lanka

ISBN: (纸本)9781728184128

While working on computers, people frequently confront with various kinds of problems, those beyond their extensive expertise. Microsoft Windows is the widely used Operating System running on numerous personal computers and the reason which gives more irritating problems that require to be addressed. Currently, troubleshooting is considered as a costly and time-consuming approach. The SAITA is an Artificial intelligent Troubleshooting Agent that utilizes natural language generation, machine learning, and dependency resolving and ontology-based methodologies for solving most common Windows-specific issues within a short period of time than the traditional approach. The assistant learns from the accessible data and accomplishes the task for users as performed by human experts. The main objective of this exploration venture is to distinguish the constraints of existing troubleshooting software and create an AI troubleshooting assistant to provide solutions to fix the identified user issues. The use of this assistant would be economical as an IT help desk alternative in the industry. SAITA is developed to serve as a representative troubleshooter for fundamental user issues, service issues, application issues, and perform environment setup by analyzing software. This system will be able to solve the common Windows user's issues as same as a human with less time. © 2020 IEEE.

关键词： Ontology

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Evaluation of smart Phone Open Source Applications for Air Pollution

Evaluation of Smart Phone Open Source Applications for Air P...

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10th international conference on Applied Human Factors and Ergonomics (AHFE) / international conference on Human Factors and Systems Interaction

作者： Zalakeviciute, Rasa Alexandrino, Katiuska Acosta-Vargas, Patricia Perez-Medina, Jorge-Luis Hernandez, Wilmar Univ Las Amer Biodiversidad Medio Ambiente & Salud BIOMAS Calle Jose Queri & Av Granados Bloque 7 Quito 170125 Ecuador Univ Las Amer UDLA Intelligent & Interact Syst Lab SI2 Lab Campus Queri Quito 170125 Ecuador Univ Las Amer Campus Queri Quito 170125 Ecuador

ISBN: (纸本)9783030200404;9783030200398

Global industrialization, urbanization and technological development have been rapidly changing the atmospheric composition. Air pollution is one of the most critical concerns to human and environmental health, causing respiratory, cardiovascular diseases and incidents of cancer, responsible for seven million premature deaths every year. While most of the major cities have some level of air quality monitoring, the data reported on the official websites are not easily accessed, and are rarely communicated to the citizens, mainly limited to the newspaper and television reports of extreme pollution events. A more efficient way to stay informed of the risks of exposure to bad air quality is a mobile application that can be accessed from anywhere. In this study, we evaluate available open source mobile phone applications for Android and iOS systems. Specifically, we analyze the usability and accessibility functions of the applications in the most populous and most contaminated South American capital cities.

关键词： Evaluation Mobile applications Air pollution

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A Content-based intelligent label classification system for warehouse management 7

A Content-based intelligent label classification system for ...

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7th IEEE international conference on Progress in Informatics and computing, PIC 2020

作者： Xie, Zaipeng Lin, Yuxuan Ji, Cheng Zhao, Weiyi Liu, Yao Hohai University Department of Computer Science and Technology Nanjing China

ISBN: (纸本)9781728170862

With the rapid development of the e-commerce business, smart warehouse management has become a critical part of the supply chain for maintaining an optimized cost in stock logistics. The managing of inventory may require substantial labors and expenses on the order fulfillment and the label classification. This paper proposes a warehouse management system that can provide the real-time categorizing service for labels based on a fastText based word text classification algorithm. In this system, a label classifier is presented to facilitate the process of classifying massive labels based on its content. In this classifier, a Huffman tree data structure have been developed and a layered softmax structure is utilized to reduce the computational complexity. Experimental results show that the proposed method is capable of processing efficient label classification tasks where the management efficiency can be improved for the economic benefits of warehouse management. © 2020 IEEE.

关键词： Classification (of information)

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MEDIDRONE—A Predictive analytics-Based smart Healthcare System 6th

MEDIDRONE—A Predictive Analytics-Based Smart Healthcare Sys...

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6th international conference on Big data and Cloud computing Challenges, ICBCC 2019

作者： Sangeetha, D. Rathnam, M. Venkata Vignesh, R. Chaitanya, Jitta Sai Vaidehi, V. Department of Information Technology Anna University Madras Institute of Technology Campus Chennai India School of Computing Science and Engineering VIT Chennai India

ISBN: (纸本)9789813298880

Health care is one of the constitutional rights of the people in India. Every resident of this country has the right to the highest attainable standard of health both physically and mentally. But, in India, the number of active Primary Health care Centers (PHCs) is very less in number, especially in the remote regions. Even in places where there are sufficient PHCs, there is a shortage of doctors, staffs, and medicine. Proper medication should be offered to people in rural areas in order to improve their health, thereby reducing the number of deaths. The trending technologies like Internet of Things (IoT), Artificial Intelligence (AI), and Predictive analytics have a key role in improving the medication and in providing preventive medical care. Therefore, exploiting these technologies to diagnose and monitor patients remotely using Body Area Network (BAN) devices and smartphones, the MEDIDRONE is proposed. The MEDIDRONE has been designed to provide on-time emergency services to the people in rural villages using drones. In addition, predictive models have been trained to provide people with insights from the data collected for their long-term welfare. The MEDIDRONE besides providing health insights and alerts to the people, also addresses the issue of unemployment in rural areas. The MEDIDRONE intends to provide the task of periodically collecting the vital signs of the people in the village as a paid work to medical practitioners, social workers, and unemployed people which could improve the economic status of the country. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Drones

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An Operation Method for Uplink Science Meta data Transmission Based on Satellite-to-Ground Large-Loop Comparison

An Operation Method for Uplink Science Meta Data Transmissio...

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international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Xi, Tao Li, Jiancheng Wei, Jun Wang, Heng Tai, Nengjian Guo, Hongjian Gao, Yaruixi Zhang, Shaoyu State Key Laboratory of Astronautic Dynamics Xi’an710043 China

ISBN: (纸本)9783030433055

The distribution of satellite-to-ground secret key is an important experiment for some Science experiments satellite. To finish the secret key distribution experiment, it is necessary for the satellite and ground to interact and cooperate with each other to complete information exchange for uplink and downlink science meta data transmission for 8 times in 24 h. In view of the strict constraint to ground system, the requirement of high reliability, particularly the new challenge to ground system that uplink science meta data transmission function is required, this paper put forward an operation method for uplink science meta data transmission based on satellite-to-ground large-loop comparison to effectively cooperate with the secret key distribution experiment, designed the information interface between systems and accomplished the scientific experiment task quickly and efficiently by optimizing the experiment flow. © Springer Nature Switzerland AG 2020.

关键词： Satellites

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Post study of Blockchain in smart health environment 5

Post study of Blockchain in smart health environment

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5th IEEE international conference on Innovative Technologies in intelligent Systems and Industrial Applications, CITISIA 2020

作者： Kaur, Mansukhdeep Murtaza, Mohsin Habbal, Mostafa Masters of Information Technology Study Group Australia School of Computing and Mathematics Study Group Australia

ISBN: (纸本)9781728194370

Blockchain technology is being popular day by day and also serving in many applications and areas such as Internet of Things, Cloud computing, Big data, Healthcare and many more because of its security strengths and benefits. It has been proven that blockchain applications are being utilized in healthcare to deliver secure data and to manage the medical data safely. Moreover, blockchain is transforming the traditional medical practices in effective ways such as diagnosing the problems effectively and treating through secure information sharing. There is no doubt to say that in future, blockchain will be performing in personalized, valid and secure healthcare by combining the medical information of patient and providing in a secure and updated setup. In this research paper, securities of healthcare applications and traditional and recent security developments are discussed. Due to Covid-19, it has become challenging for healthcare officials and government to protect and record individuals sensitive data safely. Also, spread of misleading information has been also increased during the pandemic and inability of existing platform for information validation leads to public *** of blockchain-based tracking systems is essential for accurate and valid information sharing among people and Government. This paper focus on information security issues raised by Covid-19 pandemic as well as implementation of blockchain-based platform in healthcare to record and protect covid-19 related information and contact tracing. © 2020 IEEE.

关键词： Blockchain

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smart Home Monitoring and Automation Energy Efficient System Using IoT Devices 2nd

Smart Home Monitoring and Automation Energy Efficient System...

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2nd international conference on computing, Communications and data Engineering (CCODE)

作者： Suneetha, K. Sreekanth, M. SVEC Dept MCA A Rangampet India

ISBN: (纸本)9789811501357;9789811501340

Wastage of electricity is one of the main problems which we are facing nowadays. In home and working areas, people will be engaged with too many activities. Sometimes, there might be a chance to forget to turn off various electrical appliances like lights, fans, servers, if there were nobody in the room or area/passage. This leads to huge power consumption. Also, it is very difficult to physically challenged persons and old-age people to access the appliances every time manually. To avoid all such situations, we proposed "smart Home System." It is the process of automating home appliances in which the various electric and electronic appliances are wired up to a central computer control system so they can be handled more efficiently. "smart Home" helps to overcome the problems that usually people face in daily life. Behind this, it needs the involvement of multiple complex hardware components in controlling the smart home project and there is a fair amount of software architecture that is responsible for driving the hardware components. Moreover, there is a need to employ persons to monitor such simple tasks. This manual approach is time-consuming and also very costly. Thus, automation is the better alternative through which these tasks can be completed automatically without human effort and also accessed remotely from anywhere and anytime with less effort. Everyone is showing interest in making their home smarter to ease their daily activities. The proposed smart Home system has the capability to control the home appliances based on the environment. Here, different boards like Raspberry Pi 3 and Arduino UNO are going to be deployed which can take control over the appliances and act accordingly. People can also be notified, if there are any fire/gas leakages inside the home. This security system facilitates the user to take necessary actions as soon as possible to secure their home. It also involves the deployment of different kinds of sensors which can able to detec

关键词： Internet of things Raspberry Pi 3 and Arduino UNO Sensors MQ2

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Machine Learning Based data Reduction in WSN for smart Agriculture 1

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34th international conference on Advanced Information Networking and Applications, AINA 2020

作者： Salim, Christian Mitton, Nathalie Inria Villeneuve d’Ascq France

ISBN: (数字)9783030440411

ISBN: (纸本)9783030440404

Nowadays, the agriculture domain faces a lot of challenges for a better usage of its natural resources. For this purpose, and for the increasing danger of climate change, there is a need to locally monitor meteorological data and soil conditions to help make quicker and more adapted decision for the culture. Wireless Sensor Networks (WSN) can serve as a monitoring system for those types of features. However, WSN suffer from the limited energy resources of the motes which shorten the lifetime of the overall network. Every mote periodically captures the monitored feature and sends the data to the sink for further analysis depending on a certain sampling rate. This process of sending big amount of data causes a high energy consumption of the sensor node and an important bandwidth usage on the network. In this paper, a Machine Learning based data Reduction Algorithm (MLDR) is introduced. MLDR focuses on environmental data for the benefits of agriculture. MLDR is a data reduction approach which reduces the amount of transmitted data to the sink by adding some machine learning techniques at the sensor node level by keeping data availability and accuracy at the sink. This data reduction helps reduce the energy consumption and the bandwidth usage and it enhances the use of the medium while maintaining the accuracy of the information. This approach is validated through simulations on MATLAB using real temperature data-sets from Weather-Underground sensor network. Results show that the amount of sent data is reduced by more than 70 while maintaining a very good accuracy with a variance that did not surpass 2°. © 2020, Springer Nature Switzerland AG.

关键词： data reduction

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16th international conference on Distributed computing and Internet Technology, ICDCIT 2020

16th International Conference on Distributed Computing and I...

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16th international conference on Distributed computing and Internet Technology, ICDCIT 2020

ISBN: (纸本)9783030369866

The proceedings contain 29 papers. The special focus in this conference is on Distributed computing and Internet Technology. The topics include: A Very Gentle Introduction to Multiparty Session Types;trust: Anthropomorphic Algorithmic;Prospero’s Books: A Distributed Architecture for AI: Invited Extended Abstract;uniform Circle Formation by Swarm Robots Under Limited Visibility;Identifying Reduced Features Based on IG-Threshold for DoS Attack Detection Using PART;transcript Management Using Blockchain Enabled smart Contracts;healthChain: A Secure Scalable Health Care data Management System Using Blockchain;distributed and Lazy Auditing of Outsourced data;an Efficient and Novel Buyer and Seller’s Distributed Ledger Based Protocol Using smart Contracts;text Document Clustering Using Community Discovery Approach;word2vec’s Distributed Word Representation for Hindi Word Sense Disambiguation;a Distributed and Trusted Web of Formal Proofs;a Framework Towards Generalized Mid-term Energy Forecasting Model for Industrial Sector in smart Grid;online Context-Adaptive Energy-Aware Security Allocation in Mobile Devices: A Tale of Two Algorithms;a Hybrid Approach for Fake News Detection in Twitter Based on User Features and Graph Embedding;multi-Winner Heterogeneous Spectrum Auction Mechanism for Channel Allocation in Cognitive Radio Networks;community Detection in Social Networks Using Deep Learning;bearing Fault Classification Using Wavelet Energy and Autoencoder;resource Scheduling for Tasks of a Workflow in Cloud Environment;design of a Scheduling Approach for Budget-Deadline Constrained Applications in Heterogeneous Clouds;secure Content-Based Image Retrieval Using Combined Features in Cloud;verifying Implicitly Quantified Modal Logic over Dynamic Networks of Processes;distributed Graph analytics;preface.

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