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Construction of supply chain information sharing mode in big data environment

Construction of supply chain information sharing mode in big...

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

作者： Liu, Jiahui Lu, Guangqiu Wang, Haiqin Qingdao Binhai University QingdaoShandong266555 China

ISBN: (纸本)9789811525674

With the complexity of supply chain network structure and the globalization of supply chain development, information sharing in supply chain becomes more and more important. Supply chain information sharing can not only improve the overall performance of the supply chain, promote cooperation and communication between supply chain nodes, reduce the "bullwhip effect" caused by information non-sharing, but also improve the response speed of supply chain to customer demand, which is conducive to the formation of core competitiveness of enterprises. With the arrival of the era of big data, information sharing has new opportunities and corresponding challenges in supply chain: on the one hand, the development of new technologies such as cloud computing and big data analysis technology has provided new sharing modes and channels for information sharing in supply chain;on the other hand, most of them have to face challenges. According to the storage and processing of massive information caused by massive data in the environment, new challenges are posed to enterprises. Based on the change of information sharing in supply chain under big data environment, it is very important to build a new information sharing mode. Based on the analysis of the advantages and disadvantages of three traditional information sharing modes, this paper constructs an identity-based and role-based information sharing mode using advanced storage platform and data prediction and mining methods in large data environment, which solves the problem of limited data storage and operation speed. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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Identifying People Based on Machine Learning Classification of Foods Consumed in Order to Offer Tailored Healthier Food Options 3rd

Identifying People Based on Machine Learning Classification ...

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3rd international conference on intelligent Human Systems Integration (IHSI) - Integrating People and intelligent Systems

作者： Kim, Jenna Lin, Shuhao Ferrara, Giannina Hua, Jenna Seto, Edmund Univ Washington Comp Sci Dept Seattle WA 98195 USA Univ Illinois Dept Kinesiol & Nutr Chicago IL 60612 USA Inst Hlth Metr & Evaluat Seattle WA 98121 USA Stanford Univ Stanford Prevent Res Ctr Stanford CA 94305 USA Univ Washington Sch Publ Hlth Seattle WA 98195 USA

ISBN: (纸本)9783030395124;9783030395117

Using food recall data collected from over 8000 Americans, we used Machine Learning to classify a person's demographic characteristics (age, gender, race, and income) based on the foods they consumed in a 24-h period. The best-performing models predicted gender correctly 61%, race 44%, and age 43% of the time on independent validation data. The model was subsequently used to provide tailored recommendations for healthier food options based on low-calorie and low-fat options for specific food groups that are typically consumed by other Americans that match the person's demographics. This system is part of a larger smart Human-Centered System that assists users in recording the foods they consume, recognizes nutritional content of the food, offers tailored recommendations for consuming healthier foods, and tracking behavior change over time.

关键词： intelligent interfaces for Human-Artificial systems Artificial intelligence Diet and nutrition Health

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Research on multi- node frame early warning system of power grid based on abnormal data extraction

Research on multi- node frame early warning system of power ...

引用

2020 international conference on Mechatronics Technology and intelligent Manufacturing, ICMTIM 2020

作者： Sui, Bing Chen, Xiaodong Li, Zhengwen Zhao, Jun Tian, Jingfu Liaoning Electric Power Dispatching and Control Center State Grid Corporation of China Shenyang Liaoning110000 China

Nowadays, the collection of electrical energy measurement data is mainly completed by smart meters, electrical energy data monitoring equipment and electrical energy data management equipment. Due to system defects, equipment failures and human factors, it is prone to abnormal data collection. The design concept of online early warning system for extracting abnormal features of electrical energy data based on multi- node real-time computing framework is proposed in the paper to analyze the hardware and software of the online early warning system for extracting abnormal features of electrical energy data. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： data mining

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1st international conference on intelligent computing Techniques for smart Energy Systems, ICTSES 2018

1st International conference on Intelligent Computing Techni...

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1st international conference on intelligent computing Techniques for smart Energy Systems, ICTSES 2018

ISBN: (纸本)9789811502132

The proceedings contain 111 papers. The special focus in this conference is on international conference on intelligent computing Techniques for smart Energy Systems. The topics include: intelligent power sharing control for hybrid system;GWO based PID controller optimization for robotic manipulator;a 26 W power supply based on luo converter with improved power factor and total harmonic distortion;optimal strategic bidding using intelligent gravitational search algorithm for profit maximization of power suppliers in an emerging power market;synchrophasor measurements assisted Naïve bayes classification based real-time transient stability prediction of power system;device modeling and characteristics of solution processed perovskite solar cell at ambient conditions;control and remote sensing of an irrigation system using ZigBee wireless network;Analysis and classification of maximum power point tracking (MPPT) techniques: A review;A study and comprehensive overview of inverter topologies for grid-connected photovoltaic systems (PVS);IOT based smart writer;design and implementation of arduino based control system for power management of household utilities;comparative analysis of various classifiers for gesture recognition;Interfacing python with DIgSILENT power factory: Automation of tasks;recent development in perovskite solar cell based on planar structures;artificial intelligence based optimization techniques: A review;optimal location and sizing of microgrid for radial distribution systems;constraint tariff model to reduce the amount of cross subsidy incorporated in electricity tariff using iterative optimization technique;titration machine: A new approach using arduino;hybrid method for cluster analysis of big data;a new radio frequency harvesting system;optical gain tuning in type-I Al0.45Ga0.55As/GaAs0.84P0.16/Al0.45Ga0.55As Nano-heterostructure.

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Personal Information Security Risks and Legal Prevention from the Perspective of Network Security

Personal Information Security Risks and Legal Prevention fro...

引用

international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Wang, Zhe Fuzhou University of International Studies and Trade Fuzhou350202 China

ISBN: (纸本)9783030433055

In the era of big data, with the advancement of information technology and the popularization of mobile Internet, digital life has brought great convenience to people, and also brought a series of social problems. In recent years, large-scale leakages of citizens’ personal information have occurred from time to time, and the citizens’ rights and interests have been damaged and it is difficult to get timely relief. The leakage of personal information and data has also become an issue of increasing concern. This paper first introduces the basic overview of personal information security risks from the perspective of network security, then states the legal problems of personal information network security risks, and finally proposes corresponding countermeasures. © Springer Nature Switzerland AG 2020.

关键词： Cybersecurity

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The Politics of Artificial Intelligence Behaviour and Human Rights Violation Issues in the 2016 US Presidential Elections: An Appraisal 3rd

The Politics of Artificial Intelligence Behaviour and Human ...

引用

international conference on data Management, analytics and Innovation (ICDMAI)

作者： Assibong, Patrick A. Wogu, Ikedinachi Ayodele Power Sholarin, Muyiwa Adeniyi Misra, Sanjay Damasevicius, Robertast Sharma, Neha Covenant Univ Ota Ogun State Nigeria Kaunas Univ Technol Kaunas Lithuania Soc Data Sci Pune Maharashtra India

ISBN: (纸本)9789811393648;9789811393631

The outcry from organizations and concerned bodies responsible for regulating and protecting the security and privacy of citizens' data have suddenly been on the increase since the unearthing of the recent scandal regarding data gathered from the users of Facebook by Cambridge Analytica (CA) without prior consent. data belonging to over 87 million Facebook users were admittedly passed on to third-party organizations who used them to manipulate the views and opinions of American citizens, a move largely believed influenced and altered the results and outcome of the 2016 US presidential elections in favour of certain individuals, an action largely believed undermines the Fundamental Human Rights (FHR) of the citizens affected. The Marxian Alienation Theory and Derrider's critical and qualitative analytical method for evaluating arguments and data gathered on the subject matter of the paper were adopted for the study, with the view to highlight the inimical influences of AI politicking on the FHR of Americans and her institution of democracy. The paper observed that the Facebook and CA scandal has given room for questioning the integrity and credibility of future election outcomes in American. There is an alarming dearth of viable regulations and ethical codes governing the reckless use of AI politicking platforms in the public domain. The paper suggests measures of improving and securing the private rights and data of citizens generally. It also suggests measures for preserving the sanctity and credibility of future election results in American.

关键词： Artificial intelligence behaviour Artificial intelligence politicking American elections American politics Cambridge Analytica Facebook Fundamental human rights Human rights violations Marxian alienation theory Presidential elections

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A Role of Law in Network Security Supervision Based on Public Internet Perspective

A Role of Law in Network Security Supervision Based on Publi...

引用

international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Chen, Caihong Fuzhou University of International Studies and Trade Fuzhou350202 China

ISBN: (纸本)9783030433055

In recent years, with the accelerated implementation of national big data development strategies, the innovation and application of big data technology have become increasingly active, generating and aggregating massive types of network data with increasing types and increasing application values, which have become key production factors for the development of the digital economy. Common network security problems include leaking user information without permission, abusing and disseminating data through the Internet, and conducting illegal transactions, etc., and there is an upward trend. Therefore, it is particularly urgent to manage network data security in the Internet industry. Network security issues are emerging one after another. This requires us to study how to prevent and respond to endless network security issues in the context of big data, and how to give full play to the legal role in network security supervision in order to face the new era of new technologies. Threats and challenges. © Springer Nature Switzerland AG 2020.

关键词： Network security

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smart Security System Using IoT and Mobile Assistance 2nd

Smart Security System Using IoT and Mobile Assistance

引用

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

作者： Indumathi, J. Asha, N. Gitanjali, J. Anna Univ Dept Informat Sci & Technol Chennai Tamil Nadu India Vellore Inst Technol Sch Informat Technol Vellore Tamil Nadu India

ISBN: (纸本)9789811501357;9789811501340

The digital era has witnessed giant strides in the utilization of security systems, which perform certain pre-programmed tasks when a secured zone is breached. The prevailing traditional security systems have evolved embracing the cutting-edge technologies from time to time. The avalanche-like explosion of things and their connectivity through Internet have opened several new boulevards of exploration. The unification of security system based on the IoT platform has the potential of interrelating real time with the devices and makes them smart, with issues like privacy. To keep the issues in the bay, a new intrusion detection system is the need of the hour. Hence, a wireless intrusion detection smart security system is designed and developed to overcome the research gaps in the existing systems. The smart security system is built on the Internet of things. The system is a lightweight, low cost, extensible, flexible wireless IoT-based-smart security system which will permit the mobile devices and computers to remotely trail the happenings at the location, record the activities and save them in the prefixed cloud storage account. The system uses the hardware (things) to sense and fetch the data which is processed by the embedded software. On the occurrence of an abnormal activity (like breaching by an intruder), a valid signal is detected, and it sends signal to the board directing it to run the alert module. The alert module activates the GSM API to immediately alert the end-user by mobile. This system thus provides a wireless, incessant service to all the stakeholders by phone regarding the breaches occurring in the environment. This implemented smart security system using IoT with mobile assistance also integrates the various alarms, sends alert as pre-programmed, tracks the movements automatically, uses the state-of-the-art appropriate latest technologies to alert the concerned stakeholders and waits for actions to be taken.

关键词： smart security systems Internet of things (IoT) Global system for mobile communication (GSM) Short message service (SMS)

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New Method of Traffic Flow Forecasting Based on QPSO Strategy for Internet of Vehicles 4

New Method of Traffic Flow Forecasting Based on QPSO Strateg...

引用

4th IEEE international conference on smart Internet of Things, smartIoT 2020

作者： Zhang, De-Gan Du, Jing-Yu Zhang, Ting Fan, Hong-Rui Tianjin University of Technology Tianjin Key Lab of Intelligent Computing Novel Software Technology Tianjin300384 China Tianjin University of Technology Ministry of Education Key Laboratory of Computer Vision and System Tianjin China

ISBN: (纸本)9781728165141

We propose a new method of traffic flow forecasting based on quantum particle swarm optimization strategy (QPSO) for Internet of Vehicles (IOV). Establish a corresponding model based on the characteristics of the traffic flow data. The genetic simulated annealing method is applied to the quantum particle swarm method to obtain the optimized initial cluster center, and is applied to the parameter optimization of the radial basis neural network prediction model. The function approximation of radial basis neural network can be used to obtain the required data. In addition, in order to compare the performance of the methods, a comparison study with other related methods such as QPSO-RBF is also performed. Our method can reduce prediction errors and get better and more stable prediction results. © 2020 IEEE.

关键词： Forecasting

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Enhancing Healthcare Access through Remote Infant Screening 20

Enhancing Healthcare Access through Remote Infant Screening

引用

6th EAI international conference on smart Objects and Technologies for Social Good, GOODTECHS 2020

作者： Mutanu, L. Gupta, K. Gohil, J. Karania, D. Ali, A. Department of Computing United States International University NairobiKA Kenya

ISBN: (纸本)9781450375597

In many countries, babies are required to visit a healthcare facility periodically from birth until they reach the age of five for growth monitoring. However, many parents in marginalized areas are not able to do so which results in high infant mortality rates. In this paper, we present the early results of an affordable remote screening system developed using an IoT device that measures a baby's temperature, height, weight, and skin conditions and sends them to a healthcare provider for decision making. The device captures essential data using sensors, after which an image recognition algorithm is used to access the infant's skin. analytics are conducted on the data and alerts generated for timely intervention. The results obtained show that it is possible to develop an affordable and functional remote screening device to enhance healthcare access. We plan to scale it to measure the infant' s breathing patterns and heart rate. © 2020 ACM.

关键词： Internet of things

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