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intelligent Noise Mapping using smart Phone on Web platform

Intelligent Noise Mapping using Smart Phone on Web platform

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smart Innovations in Design, Environment, Management, Planning and computing (ICSIDEMPC), international conference on

作者： Rakesh Dubey Shruti Bharadwaj Dr. Susham Biswas Rajiv Gandhi Institute Of Petroleum Technology Amethi Uttar Pradesh INDIA

ISBN: (数字)9781728159706

ISBN: (纸本)9781728159713

Environmental pollution has become very serious due to today's advancement all around the world. Pollutions are of different types which include noise pollution. Noise pollution is considered as one of the most prevalent environmental challenges affecting human health. The rapid growth of population, vehicular density in roads, urbanization, etc., is increasing noise pollution in cities needing techniques to monitor and predict noise or to determine its effects on health. Noise levels of various sources, when integrated with the terrain data, are playing a vital role in determining the extent of noise pollution at various neighboring locations. The technique is tried to be developed over a typical city in India, i.e., Lucknow, with mixed land use pattern is chosen thus far. Further, an important variation in noise levels exists here from a place to another. It also varies with time in this city. It is planned to collect the noise levels of Lucknow from typically very crowded, averagely crowded, and thinly crowded areas. The collected data are also planned to be characterized as peak hour, average hour, and off-peak hour. Noise intensity and frequency data are observed to understand and characterize noise levels with the full spectrum. Once noise data are collected it is planned to be utilized for prediction of noise levels at unknown neighboring locations using terrain data and noise model. As it was understood that the collection of noise data at all source points is difficult, an intelligent technique is planned to be implemented. A smartphone-based technique is thought for it. smartphone with noise App is planned to be utilized to collect the noise data, after the proper calibration of its microphone with Noise Level Meter. A web-based application where people will participate and upload the noise levels with smartphones is planned to serve the purpose. The requirement of terrain data is tried to be managed using a classified web map of google. Predicted noise le

关键词： Urban areas smart phones Pollution Noise level Monitoring Roads Pollution measurement

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A smart Electronic Wheelchair Design Using Artificial Intelligence and intelligent Sensors Association

A Smart Electronic Wheelchair Design Using Artificial Intell...

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intelligent and Innovative Technologies in computing, Electrical and Electronics (IITCEE), international conference

作者： R Balamurugan D. Kanchana B. Anni Princy J Jaisudha P. Malathi E Glory Department of Artificial Intelligence and Machine Learning AJK College of Arts and Science Coimbatore Tamil Nadu India Department of Computer Applications SRM Institute of Science and Technology Chennai Tamil Nadu India Department of Computer and Communication Engineering Panimalar Engineering College Chennai Tamil Nadu India Department of ECE Prince Shri Venkateshwara Padmavathy Engineering College Chennai Tamil Nadu India Department of Data Analytics Saveetha College of Liberal Arts and Sciences SIMATS Chennai Tamil Nadu India Department of Biosciences Saveetha School of Engineering SIMATS Chennai Tamil Nadu India

Since the beginning of the seventeenth century, wheelchairs have been used to transport hospital patients and those with mobility impairments. The power of people is what spreads wheelchairs. Wheelchair users propel themselves forward using their upper bodies or, more commonly, require the assistance of another person to propel them. In this work, we examine how to build an autonomous electric wheelchair for the disabled at the lowest possible cost without sacrificing quality of design or control. This research presents the planning and development of an AI-enhanced electric wheelchair that can be controlled automatically to climb stairs, making it accessible to those with mobility impairments. The chair’s controls allow the user to move it in any direction and raise the landing and staircases to varying heights. The chair’s DC power source (battery used) may be recharged, allowing it to function for an extended period of time. In addition, a safety system was created that monitors and provides feedback on the user’s pulse rate, as well as the wheelchair’s functioning state (including acceleration, climate, and inclination position). This proposed AI based Wheelchair (AIWC) design is suitable for any aged people and the proposed model is cross-validated with the conventional wheelchair design using mobile based operations handling system called Mobile-Wheelchair (MWC) to test the efficiency of the proposed design in clear manner.

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IoT and Lightbend based intelligent Platform for Fire Monitoring System

IoT and Lightbend based Intelligent Platform for Fire Monito...

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international conference on Inventive Research in computing Applications (ICIRCA)

作者： Yun Gao Xi'an University of Architecture and Technology Xi'an China

ISBN: (数字)9781728153742

ISBN: (纸本)9781728153759

intelligent monitoring based mechanism study of fire spread in high-rise buildings under complicated conditions is conducted in this research. With the rapid development of national economy since China's reform and opening up in the past 40 years, the construction scale and quantity of high-rise buildings in various regions of China have been increasing day by day in recent years. Once a fire breaks out in high-rise buildings, it is likely to cause the serious casualties and huge property losses. High-rise building fire cases occur year by year all over the world. Although experts and scholars at home and abroad have been doing a lot of theoretical and Experimental Research on the smoke and evacuation of the built high-rise buildings. However, there are very few studies on smoke law and evacuation of complex high-rise buildings under construction in case of fire. It is of great practical significance to study such problems. We combined the smart building methodologies to construct the efficient system for the data based analysis and intelligent platform based assistance.

关键词： Buildings Fires Monitoring Heat transfer Heating systems Combustion

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Visual Analysis of the Bibliometric data Associated with the Calibration of Car-Following Models

Visual Analysis of the Bibliometric Data Associated with the...

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international conference on Distributed computing in Sensor Systems (DCOSS)

作者： Mădălin-Dorin Pop Mihai V. Micea Computer and Information Technology Department Politehnica University of Timişoara Timişoara România

ISBN: (数字)9798350369441

ISBN: (纸本)9798350369458

intelligent transportation systems (ITS) use the latest technologies for real-time traffic control and monitoring to ensure efficient traffic management and reduce the risks of traffic accidents. The microscopic level of traffic modeling is the most appropriate level for controlling and monitoring the interaction between vehicles based on car-following scenarios. However, the data retrieved from sensor networks can be affected by measurement errors, and consequently the implementation of appropriate mechanisms to overcome their propagation to the control system is mandatory. This paper aims to analyse the current research in the calibration of car-following models and provide valuable insights of recent developments in this field. To achieve this goal, VOSviewer has been chosen as a visualisation tool to create bibliographic maps based on the output from the well-known scientific database Clarivate analytics Web of Science (WoS). The maps obtained provide a visual representation of the main institutions involved in this field of research and identify the research interests based on author and indexing keywords. Furthermore, this paper analyses the top five clusters identified based on the analysis of co-occurrence keywords, presenting discussions about the connections existing within these clusters.

关键词： Analytical models Visualization Computational modeling Bibliometrics Transportation Traffic control data models

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Prediction of Marketing Information intelligent System Based on 5G Network

Prediction of Marketing Information Intelligent System Based...

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Artificial Intelligence and Autonomous Robot Systems (AIARS), international conference on

作者： Di Kang Haiyan Hao School of Smart Tourism Hainan College of Software Technology Qionghai China School of Computing and artificial intelligence Hainan College of Software Technology Qionghai China

ISBN: (数字)9798350376173

ISBN: (纸本)9798350376180

To succeed in the market, it is necessary to have an accurate and timely grasp of the market situation and development, and to formulate plans and allocate resources based on current market demand and development trends, in order to meet market needs and gain competitive advantages. The original market planning and decision-making relied on manual writing and experience, making it difficult to meet the requirements of the constantly developing market economy. Therefore, with marketing as the mainstay and a pragmatic attitude, the station has established a 5G network based analysis and prediction system for goods sales information, following the path of technological innovation. The system uses computers to input, store, manage, retrieve, process, analyze, and predict sales information. Its biggest feature is the organic integration of market information both inside and outside the site. A comprehensive and efficient analysis and processing were conducted to meet the needs of actual work, and the future development direction was predicted, truly achieving a targeted understanding of oneself. The experimental results showed that the data transmission speed of the marketing information intelligent system based on 5G technology for prediction and analysis was at least about 125Mbps, while the data transmission speed of the marketing information intelligent system based on traditional systems for prediction and analysis was always maintained at around 25Mbps.

关键词： Computers Technological innovation 5G mobile communication Decision making Writing Market research data communication intelligent systems Predictive analytics Pragmatics

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ENCL: Empirical Evaluation of Consumer Behaviour Analysis Model Using Internet of Things (IoT) Based Enhanced Neural Classification Logic

ENCL: Empirical Evaluation of Consumer Behaviour Analysis Mo...

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Innovative computing, intelligent Communication and smart Electrical Systems (ICSES), international conference on

作者： S. Sudha Merlin K. Malathy Ravi S Arun M Raut S.P H. Fawareh Department of Electrical and Electronics Engineering DMI College of Engineering Palanchur Chennai Department of MCA S.A. Engineering College Chennai Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai Dept of Computer Science and Engineering Kings College of Engineering Punalkulam Thanjavur Department of Civil Engineering Yeshwantrao Chavan College of Engineering Nagpur India Software Engineering Dept Faculty of Information Technology Zarqa University Zarqa Jordan University of Business and Technology Jeddah Saudi Arabia

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

The proliferation of consumer data can be attributed to “the Internet of Things (IoT),” which makes it easier to access and more detailed than before. In this research our purpose is to evaluate the effectiveness of a consumer behavior analysis model using data from IoT. The quality of the model is evaluated on multiple parameters - accuracy, predictability and business sense for marketing. It uses the analytics of huge amounts for data from IoT devices to predict patterns, customer preferences and trends. The proposed method called as Enhanced Neural Classification Logic (ENCL) is cross-validated with the already existing method, which is termed as Consumer behavior Forecasting Strategy (CBFS), and helps users to share gather or process information in a fast and cost-effective way through the proposed method. The results are useful to grasp the promise of IoT in more effective consumer behavior analysis. The research portrays the strengths, weaknesses and possible areas of improvement in this model which will be beneficial for both academic and industry practitioners. As such, the objective of this study is to show how an IoT-based consumer behavior analysis can increase business growth and customer satisfaction. The experimental evaluations demonstrate significant improvements in predictive performance over traditional methods, providing actionable insights for targeted marketing and strategic decision-making. The results highlight ENCL's potential to transform consumer behavior analysis by delivering more precise and nuanced understandings of market dynamics.

关键词： Analytical models Consumer behavior Accuracy Computational modeling Neural networks Predictive models data models Internet of Things Logic Business

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A NodeRED-based dashboard to deploy pipelines on top of IoT infrastructure

A NodeRED-based dashboard to deploy pipelines on top of IoT ...

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international conference on smart computing (smartCOMP)

作者： Giuseppe Tricomi Zakaria Benomar Francesco Aragona Giovanni Merlino Francesco Longo Antonio Puliafito Universita degli Studi di Messina Italy CINI: National Interuniversity Consortium for Informatics Rome Italy

ISBN: (数字)9781728169972

ISBN: (纸本)9781728169989

With the widespread emergence of the Internet of Things (IoT), our environment and locations are turning progressively into smart environments ranging from individual houses/offices to schools, factories, and hospitals. Even more interesting, with the rise of Fog/Edge paradigms, the IoT application scope has been extended to provide critical services. By pushing resources such as compute and storage to the network edge, IoT-based services are taking benefits from their proximity to provide better performances. However, albeit an exciting development in and by itself, Edge/Fog computing platforms currently do not provide a convenient level of flexibility and efficiency to support the dynamic composition of services with a data-oriented approach. In this context, the Function-as-a-Service computing paradigm rises as a convenient/suitable paradigm to be adopted in the IoT landscape. For the sake of providing flexible IoT Edge/Fog deployments, this paper introduces a system providing FaaS services based on a distributed IoT infrastructure. Besides, we provide a dashboard based on Node-RED that exploits, in the backend, the FaaS system to make the users able to conceive customized applications using the resources (i.e., sensors and actuators) that the IoT devices can host.

关键词： Pipelines FAA Turning Sensor systems and applications Production facilities Internet of Things intelligent sensors

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A smart Wireless System to Automate Production of Crops and Stop Intrusion Using Deep Learning

A Smart Wireless System to Automate Production of Crops and ...

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international conference on smart Systems and Inventive Technology (ICSSIT)

作者： M Shrihari Amrita School of Arts and Sciences Mysore India

ISBN: (数字)9781728158211

ISBN: (纸本)9781728158228

The idea of automating the production of crops has existed since the early 90s and one of the major issues both scientists and farmers face, is the question of irrigation. An irrigation system is a dynamic system that is predominantly dependent on external covariant. This paper provides a methodology by utilizing a custom-built mathematical model which includes wireless sensors as a data source that is processed on Google Cloud there by providing a smart IoT enabled architecture that can be scaled even on large farms. Based on Holistic Agricultural surveys, around 35% of crops get destroyed due to animals and humans. This intelligent system is enabled with deep learning neural networks implemented with Tensorflow to identify animals based on its threat level and human intruders who are not authorized on the farm, and immediately report the intrusion to the farmer. The system is equipped with an android application that provides remote access to the system and surveillance through live video streaming.

关键词： Sensors Irrigation Cloud computing Animals Mathematical model Tensile stress

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An Efficient Edge Analytical Model on Docker Containers for Automated Monitoring of Public Restrooms in India

An Efficient Edge Analytical Model on Docker Containers for ...

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international Symposium on Advanced Networks and Telecommunication Systems (ANTS)

作者： Rajasi Gore Shashwati Banerjea Neeraj Tyagi Sanu Saurav Deepesh Acharya Vishesh Verma Motilal Nehru National Institute of Technology Allahabad Prayagraj Uttar Pradesh India

ISBN: (数字)9781728192901

ISBN: (纸本)9781728192918

The Government of India proposed “Clean India Mission” in 2014 that has led to the establishment of many public restrooms across the country. The purpose of this mission is to provide hygienic toilets to prevent open defecation and eradicate water-borne diseases. These restrooms are assigned human resources. However, the majority of them are in bad condition for usage. For increasing the availability of toilets, there is a requirement of a smart sanitation system for its automated monitoring. Moreover, rural and semi-urban restroom locations suffer from limited network connectivity. Thus, restroom state analysis needs to be performed near the site for seamless monitoring. This paper proposes an edge analytics framework based on the Internet of Things (IoT) and fog computing to analyze restroom data at the network edge and provide intelligent decisions. The machine learning model runs over Docker containers for analyzing data for the resource-constraint fog nodes. The choice of a machine learning model for the analysis depends on the model's performance in classification and on Docker containers over Raspberry Pi. Results show Adaptive Neuro-Fuzzy Inference System (ANFIS) is suitable over Docker containers for handling restroom data at the edge of the network.

关键词： Analytical models Adaptation models Computational modeling Machine learning Containers data models Monitoring

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Proposing Model for Security of IoT Devices in smart Logistics: A Review

Proposing Model for Security of IoT Devices in Smart Logisti...

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international conference on computing, Mathematics and Engineering Technologies (iCoMET)

作者： Arbab Waseem Abbas Safdar Nawaz Khan Marwat Salman Ahmed Abdul Hafeez Khalil Ullah Ihsan Ullah Khan Department of Computer Systems Engg University of Engineering & Technology Peshawar Pakistan Department of Computer Science University of Engineering & Technology (Jalozai Campus) Pakistan Department of Software Engg University of Malakand Dir Lower Pakistan Frequency Allocation Board (FAB) Islamabad Pakistan

ISBN: (数字)9781728149707

ISBN: (纸本)9781728149714

The information technology's new revolution is Internet of Things (IoT), where physical world is connected to the internet. IoT applications are diversified such as smart health, smart industry, smart homes and most importantly smart logistics for perishable items conservation. Although IoT devices have revolutionized world but due to their constrained nature they are at the cost of a greater risk of personal data loss, security breaches and misuse. In this research, a review is presented for proposing two state of the art modules i.e. communication model of smart logistics and security of IoT devices in smart Logistics. As the smart logistics have perishable items i.e. fruits, vegetables, meat, medicine, chemicals, and cosmetics etc. which are sensitive to temperature, humidity and pressure etc. If the sensors monitoring these items have been handled abnormally due to security attacks, it will give huge loss. Therefore, security of smart logistics is of paramount importance in this research. In order to expedite research in this emergent area of IoT, in this research paper a brief review on progress of IoT in smart logistics, and its security has been presented.

关键词： Logistics Security Containers Protocols Monitoring intelligent sensors

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