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

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

引用

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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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...

引用

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

引用

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...

引用

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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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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Machine Learning Based data Reduction in WSN for smart Agriculture 1

引用

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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Cutting Edge IoT Technology for smart Indian Pharma

Cutting Edge IoT Technology for Smart Indian Pharma

引用

Advance computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Pushpendu Rakshit Pramod Kumar Srivastava Amity Business School Mumbai Amity University Maharashtra India

ISBN: (纸本)9781728177427

Indian pharmaceutical industry has been anticipated best over the years across world. It's a larger supplier of medical facilities to entire world and a leading nation in pharma manufacturing. Internet of things provides the pharma industry with a selection of new personalized market opportunities, better controlled environment of pharma manufacturing, prevent maintenance of equipment and improve diversified supply chain management system. Owing to the deficiencies in transparency, the pharmaceutical manufacturing may be unable to warrant innocuous and safe medicinal production and circulation. Adoption of internet of things could represent a new competitive advantage for pharma companies exhibiting pharma IoT. This is a conceptual explorative research demonstrates future of Indian pharma, which is in a verge to become self-reliant nation. The use of internet of things, artificial intelligence, big data analytics and tracking of customers carrying internet connected digital devices (TCCICDD) and sensors implanted in wearables would help to locate the customer medical history with health monitoring. This would also alert both the clinical manufacturers and users resulting in designing personalized based better future of Indian pharma industry. Future Pharma would see the business link paraphernalia across development and dispersal by using better, more reliable larger volumes of data to revolutionize manufacturing.

关键词： Wearable computers Medical services Companies Manufacturing Internet of Things Medical diagnostic imaging intelligent sensors

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intelligent Agriculture - Agricultural Monitoring and Control Management System

Intelligent Agriculture - Agricultural Monitoring and Contro...

引用

international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Chen, Kaifeng Li, Zhuo Ma, Lili Tang, You Electrical and Information Engineering College Jilin Agricultural Science and Technology University Jilin CityJilin132101 China Smart Agricultural Engineering Research Center of Jilin Province Jilin CityJilin132101 China College of Food Science and Technology Hebei Agricultural University Baoding071001 China

ISBN: (纸本)9783030433055

In the past, agricultural production was affected by changes in the farming environment and the weather, and production conditions were also changeable. However, with the continuous development of society, the continuous progress of science and technology, the accumulation of means of subsistence, human beings have a new definition of agriculture, and intelligent agriculture will become the development trend of agricultural production in the future. intelligent agriculture refers to the detection of various important influencing factors in agricultural production, connecting various information through the network, so as to realize the intelligent management, remote monitoring and resource sharing of these factors, improve production and scientific management and control. With the development of the Internet of things (IoT) technology and the great changes in the mobile application market, the present life has gradually developed into a mobile-centered, intelligent and diversified life. People can monitor the status of the field, remotely manage and control the light or water anytime and anywhere through their mobile devices or the Internet. Under this large industry background, in order to expand the application of Internet of things technology in intelligent agriculture and explore the core technology of Internet of things, relying on its three-terminal framework technology: sensor, server and application, the project of "intelligent agriculture - agricultural monitoring and control management system" based on C/S framework is designed and implemented. © Springer Nature Switzerland AG 2020.

关键词： Information management

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Regional value-added trade network: Topological features and its evolution

Regional value-added trade network: Topological features and...

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1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Ju, Shan School of International Economics and Trade Shandong University of Finance and Economics JinanShandong250014 China

ISBN: (纸本)9789811525674

Using the OECD-ICIO (2018) database, this paper constructs an ASEAN+3 value-added trade network and calculates its topological features, including the network as a whole and degree centralities of nodes from 2005 to 2015. Among aggregate topological features, the biggest fluctuation is index of average degree with downward trend while the other four indicators of average geodesic distance, reciprocity correlation, average clustering coefficient and degree assortativity are stable. In addition, the values of degree assortativity have been negative. From the perspective of nodes centralities, Japan and China have been top two according to the results of out-degree centrality and out-closeness centrality of nodes while Malaysia, Singapore, Vietnam, and Thailand rank high on the indices of in-degree centrality and in-closeness centrality of nodes. Brunei Darussalam has been less involved in ASEAN+3 value-added trade network during the sample period. The hub countries such as Japan, China, Malaysia and Singapore need to advance the regional economic cooperation based on the advantages of countries and existing production network. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Complex networks

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Research on smart party building identity online based on blockchain

Research on smart party building identity online based on bl...

引用

2020 international conference on Cyberspace Innovation of Advanced Technologies, CIAT 2020

作者： Yang, Qubo Zhu, Xiaobing Organization Department of Party Committee Wuhan Donghu University Wuhan China School of Computer Science Wuhan Donghu University Wuhan China

ISBN: (纸本)9781450387828

Under the background of 5g mobile communication technology, artificial intelligence technology will drive the upgrading and innovation of Party building. Key technologies such as blockchain, big data, Internet of things, virtual reality, cloud computing and other key technologies will realize the precision of Party building information, the intellectualization of Party building environment, the situational scene of Party member education and the efficient communication between the party and the masses, and construct a new mode of intelligent party building from the four dimensions of technical environment, Party member's own development, intelligent work and intelligent learning. Changing the thinking, tamping the hardware, defining the position and perfecting the mechanism are the important guarantee for the construction of the new mode of the wisdom party construction. © 2020 ACM.

关键词： Blockchain

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