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Internet of Things for Sustainability: A Case Study of University Campus

Internet of Things for Sustainability: A Case Study of Unive...

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international conference on Innovative Mechanisms for Industry Applications (ICIMIA)

作者： Meenaxi M Raikar Nagaratna Yaligar School of Computer Science and Engineering K. L. E Technological University Hubballi India

Sustainability plays a key role in three different dimensions namely environmental, societal and economics. In line with the seventeen goals set by Sustainable Development Goals (SDG), the objective is to foresee the different options in building a sustainable University campus enabled using Internet of Things (IoT) technology. The different building blocks of sustainable campus infrastructure are water resource administration, waste management, electric appliance management, parking space management, disaster management, garden area management, renewable energy, security aspects and electric vehicle management. The remote monitoring and control of the devices in the campus is facilitated for optimal utilization of the resources thereby achieves sustainability. The device connected to the internet fall in three different sectors namely Personal Area Network (PAN), Wireless Local Area Network (WLAN) and Worldwide Interoperability for Microwave Access (WiMAX). The Message Queue Telemetry Transfer (MQTT) protocol is used for data exchange between the devices. The users can control the devices using the mobile application built using the MIT app inventor platform. The HC-05 and NODEMCU - ESP8266 are the components used to provide user with Bluetooth and Wi-Fi connectivity in the prototype unit developed. The standard Key Performance Indicators are used to evaluate the proposed system for assessment.

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Study on Landslide Susceptibility Evaluation Based on Improved Multivariable Weighted Model: A Case Study of Lushan County, China

Study on Landslide Susceptibility Evaluation Based on Improv...

引用

Software Engineering and Artificial Intelligence (SEAI), IEEE international conference on

作者： Li Zhao Gonghao Duan School of Computer Science and Engineering Wuhan Institute of Technology Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

The evaluation of regional geological hazard susceptibility is of great significance to the prevention and control of geological hazard. In this paper, the "4-20" Lushan earthquake disaster area as the research area, combined with GIS and characteristics of the research area, through correlation analysis, selected 9 influencing factors as the evaluation factors. The study was conducted using a weighted information volume-logistic regression model (WI-LR). The results were classified into five sensitivity levels: very low, low, medium, high and very high. The results show that the landslide prone areas in Lushan County are concentrated in the area below the middle of the county seat, mostly near rivers, faults and areas with peak acceleration greater than 0.4. Among them, WI-LR model (AUC=0.918) > deterministic factor model (CF =0.908) > weighted information quantity model (WI) (AUC=0.896) > information quantity model I (AUC=0.853) > information quantity logistic regression model I-LR (AUC=0.799). It indicates that WI-LR model has high evaluation accuracy.

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AI-based Diagnostic Tool for Liver Disease using Machine Learning Algorithms 14

AI-based Diagnostic Tool for Liver Disease using Machine Lea...

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14th IEEE international conference on Humanoid, Nanotechnology, Information Technology, Communication and control, Environment, and Management, HNICEM 2022

作者： Gamara, Rex Paolo C. Teologo, Antipas T. Neyra, Romano Q. Bandala, Argel A. FEU Institute of Technology Electrical and Electronics Engineering Department Manila Philippines FEU Institute of Technology Engineering Office Manila Philippines De la Salle University - Manila Department of Electronics and Computer Engineering Manila Philippines

ISBN: (纸本)9781665464932

The liver is the human body's largest internal organ. Globally, liver disease is considered the cause of approximately 2 million yearly death - whereas the 11th and 16th worldwide leading causes of death are cirrhosis and liver cancer. In the Philippines, according to the Department of Health (DOH), liver cancer is ranked as the 3rd leading cause of death. In most cases, surgery may be considered a possible cure if detected at an early stage. However, there is no efficient early detection method for liver cancer. In this paper, multiple machine learning methodologies are modeled to provide diagnosis classification of liver disease based on the laboratory parameter readings. Based on the results for all models, the most accurate prediction is made by ANN at 89%, followed by SVM at 79.5%. The results establish that AI-based machine learning approaches may be utilized for assisting medical-related diagnosis. © 2022 IEEE.

关键词： Diseases

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Smart Tracker Device for Women Safety 3

Smart Tracker Device for Women Safety

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3rd international conference on Advances in Computing, Communication control and Networking, ICAC3N 2021

作者： Johri, Prashant Sharma, Vishnu Gupta, Varuna Baghela, Vishwadeepak Singh Galgotias University School of Computer Science and Engineering India GCET Department of CSE Greater Noida India CHRIST University Department of Computer Science New Delhi India

ISBN: (纸本)9781665438117

Internet of Things (IoT) technologies assists by which machines, circuits, and many types of devices and interfaces communicate with one another. This IoT technology is useful for several purposes, especially in the field of Networking and Run-time data storage. Considering Women safety as our primary objective, we have used this technology and some other hardwares, including Raspberry Pi, to help the user in case of any emergency. Here also, with the help of IoT we are trying to make a device which can track the runtime location and the live, exact and efficient coordinates of the system which is in track. In the above context, in case of emergencies, it is very important to know the right place for the person to perform several important and critical actions whatsoever present at the right *** GPS coordinates can be used to solve and analyse this problem. Additionally, we intend to add a voice recorder in case the women want to record any suspicious activity or information that can be helpful in the future for evidence purposes. In this paper, IoT is acting directly by receiving a person's GPS links from his server. Furthermore, we are combining the web interface with Google Maps on a single server so that the user's location can be tracked immediately using real-time *** application can be used for wildlife, school-aged children, parent safety, and transportation services where location is a key factor. Although there are several direct and indirect usages of this project, the main use to which the project is concentrated is the use of this device to help our loved ones in the time of need. © 2021 IEEE.

关键词： Internet of things

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Hybrid Model for Robotic Surveillance using Advance Computing Techniques with IoT

Hybrid Model for Robotic Surveillance using Advance Computin...

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Pervasive Computing and Social Networking (ICPCSN), international conference on

作者： N.K. Darwante Ashutosh Sonawane Ankush Suralkar Rindhe Viraj Pralhad P. William Department of Electronica and Computer Engineering Sanjivani College of Engineering Savitribai Phule Pune University Pune India Department of Information Technology Sanjivani College of Engineering Savitribai Phule Pune University Pune India

The primary purpose of this research is to design and construct a surveillance robot with the potential to reduce the number of people killed in combat. The Internet of Things (IoT) technology is utilised to tackle the issues that arise from directing the movement of the robot through short-range communication. The movement of the robot may be controlled from almost any location in the globe using an Android smartphone. This research work is divided into five different phases: manually running the robot via the use of IoT technology; automatically controlling the robot through the use of an Android device or a personal computer; Wireless Streaming live video captured by a night vision camera equipped with audio, advanced computational capabilities, and metal detecting sensors. The execution will begin as soon as the metal detector and the advanced computer sensors identify the robot and cause it to stop moving. These days, the remote monitoring and surveillance of the homes is more important than ever before. Additionally, the camera is equipped with a face recognition technology that enables it to identify the person whose motion was detected and prompted the camera's activation. The in-vehicle voice assistant will start a conversation with the caller if they are approved to use the system. It is only when there is an unauthorised person present that a notification will be delivered. Along with the notice, a live webcam broadcast will begin, and it will also contain photographs of the intruder. The participants in this research are being monitored using Internet of Things (IoT)-based robots that make use of an Arduino UNO microcontroller. These robots may be controlled by a computer or a smartphone. The objective is to design a remote-controlled spy car that is capable of carrying out continuous surveillance in hostile conditions. The robot is equipped with a wireless camera, which enables it to collect real-time streaming throughout the day as well as during the n

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Research on Centralized and Automatic control of Filter Rod Conveying in Wrapping Workshop

Research on Centralized and Automatic Control of Filter Rod ...

引用

international conference on Artificial Intelligence and computer Information Technology (AICIT)

作者： Xingke Li Anqi Hu Delun Shi Zhenan Yu Hao Pang Qian Xie Wuhan Cigarette Factory China Tobacco Hubei Industrial Co. Ltd Wuhan China

ISBN: (数字)9798350365443

ISBN: (纸本)9798350365450

This paper explores the research and implementation of an Information Technology (IT) and Operational Technology (OT) integration upgrade for the filter rod conveying process in cigarette packing workshops. By centralizing control over filter rod exchange stations, receivers, emitters, and unloading machines, and using industrial Ethernet for device interconnectivity, the system consolidates data from individual machines through an edge controller. This data is then stored, analyzed, and presented by the cigarette packing data acquisition system. The goal is to achieve comprehensive real-time monitoring of filter rod production and equipment information. Intelligent analysis algorithms enable real-time processing of data from the filter rod conveying process and its associated equipment. Based on these analyses, the system automatically adjusts equipment parameters and operating states, reducing equipment failure rates and filter rod losses during production. Furthermore, real-time monitoring and early warning capabilities improve the system's ability to detect and respond to equipment failures or abnormalities, effectively reducing downtime and maintenance costs.

关键词： conferences Production Receivers Ethernet Filtering algorithms Information filters Real-time systems Maintenance Information technology Wrapping

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Testing and Research of Human Factor Engineering Optimization Productivity in Intelligent Manufacturing System

Testing and Research of Human Factor Engineering Optimizatio...

引用

Data Analytics, Computing and Artificial Intelligence (ICDACAI), international conference on

作者： Lihua Shuai School of Management Guangzhou College of Technology and Business Guangzhou China

ISBN: (数字)9798331519032

ISBN: (纸本)9798331519049

Intelligent manufacturing realizes the optimization of product input and output by organically integrating various equipment and virtual data network. An intelligent production system based on human factor engineering technology is put forward to solve the problem that the relationship between each process is not close at present. The system is composed of four parts: production, testing, assembly and storage, and the production process of products is realized through online operation between each part. The system uses a driver program completed by the input terminal, which is controlled by PLC timing and logic. The threads of multiple job stations are sorted with minimum completion time and minimum machine load as optimization objectives. control the system according to the operation plan issued by the CNC system. The mechanism of humancomputer interaction to shorten the human-computer interaction gap is explained from three aspects: behavior, intention and cognition. Experiments show that this design has the advantages of small storage space and small demand for computer resources. It can meet the production process requirements.

关键词： Productivity Job shop scheduling Processor scheduling Ergonomics Human factors Aerospace electronics control systems Timing Optimization Testing

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An Improved Gradient-Based Image Sharpness Evaluation Method for Variable Focusing Window

An Improved Gradient-Based Image Sharpness Evaluation Method...

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computer Science, Electronic Information Engineering and Intelligent control Technology (CEI), IEEE international conference on

作者： Zeyue Ren Huawei Wang Fanzi Kong Qing Liu Yongqing Yang Xi'an Institute of Optics and Precision Mechanics of CAS Xi'an China University of Chinese Academy of Sciences Beijing China Xi'an Key Laboratory of Spacecraft Optical Imaging and Measurement Technology Xi'an China

ISBN: (数字)9798350372052

ISBN: (纸本)9798350372069

To address the focusing challenges of varying scales at different time points of moving target images in space, we propose an improved gradient-based image sharpness evaluation method for variable focusing window. The method obtains the target focusing window adaptively and computes the sharpness evaluation value by convolving the image within the focusing window with a multi-directional gradient operator weighted factor. Experiments show that the method exhibits strong sensitivity and anti-interference capabilities, contributing to the improved performance of the space imaging autofocus system.

关键词： computer science Sensitivity Focusing Collaboration Robustness Optimization Intelligent control

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The Construction of Decision Model of Multi-channel Closed-loop Supply Chain Based on Big Data 3

The Construction of Decision Model of Multi-channel Closed-l...

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3rd international conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT2023

作者： Xu, Ying Zhu, Lin Wu, Hua Ningbo University of Finance & Economics Zhejiang Ningbo315175 China Sias International University Henan Zhengzhou451150 China

In today's era, science and technology have undergone tremendous development, and the research on big data technology has become more and more mature. Many areas of human life have begun to apply big data technology, and big data technology has indeed brought more convenience to human life. With innovation, human life has also become better because of the development of big data. With the increase of people's awareness of environmental protection and sustainable development, more and more scholars have begun to pay attention to the research of multi-channel closed-loop supply chain. The return products caused by reverse logistics greatly affect the supply chain inventory system and the butterfly effect of the supply chain. This paper uses the Agent technology in big data to construct a multi-channel closed-loop supply chain decision model, and applies the Agent technology to the research of multi-channel closed-loop supply chain inventory and butterfly effect. This paper analyzes the functional agents included in each structural agent in the closed-loop supply chain, designs the simulation process, and designs the final data collection and analysis. Through the analysis of the simulation results, find out the influence of the reverse logistics recycling and return links and the changes in inventory control parameters on the butterfly effect of the members of the closed-loop supply chain at all levels, and provide guidance for the members of the closed-loop supply chain to formulate reasonable and effective inventory control strategies Sexual opinions. © 2023 Elsevier B.V.. All rights reserved.

关键词： Supply chains

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Application of computer Algorithm in New Media Content Recommendation System

Application of Computer Algorithm in New Media Content Recom...

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Data Analytics, Computing and Artificial Intelligence (ICDACAI), international conference on

作者： Qiangyin Wu Changchun Humanities and Sciences College Changchun China

ISBN: (数字)9798331519032

ISBN: (纸本)9798331519049

Nowadays, the information acquisition channels of media have gradually shifted to the Internet, and the decline of traditional media has become a foregone conclusion in the face of new media backed by big data, and the strong rise of new media has also changed the mode of information push. This personalized push mechanism has always had the problem of poor alignment with the customer's interest points. Therefore, this paper proposes to optimize the content recommendation system by using the computer algorithm represented by the Bayesian classification algorithm, which not only improves its performance, but also tries to alleviate the information cocoon phenomenon brought by the current new media. In the final comparison experiment on the average absolute error between the user's predicted rating and the actual rating, the average absolute error of the experimental group based on the proposed method was 0.2974, while the average absolute error of the control group using the conventional system was 0.3481. In other words, this method greatly improves the control of the content recommendation system over the user's preferences, so as to push the content that they are more interested in.

关键词： Technological innovation Software algorithms Media Prediction algorithms Software Classification algorithms Bayes methods Internet Recommender systems Optimization

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