The problem of air pollution is significant, as there is a negative impact on human health. This problem is especially relevant in large cities with many people living there and many enterprises. As part of the resear...
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This paper explores contemporary agricultural practices and cutting-edge technologies to improve crop yields. Implementing an intelligent greenhouse model that automates farm tasks, minimizing manual intervention. The...
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ISBN:
(数字)9798350365337
ISBN:
(纸本)9798350365344
This paper explores contemporary agricultural practices and cutting-edge technologies to improve crop yields. Implementing an intelligent greenhouse model that automates farm tasks, minimizing manual intervention. The closed structure of the greenhouse shields plants from adverse weather conditions such as temperature extremes, humidity fluctuations, and variations in air and soil moisture. The study introduces an innovative automatic irrigation system to address the shortcomings of traditional agricultural irrigation methods, emphasizing efficient water consumption control and energy utilization. The proposed system integrates a distributed wireless sensor network, including soil moisture, humidity, and temperature sensors, utilizing the Blynk cloud-based IoT platform and ThinkSpeak, Soil moisture and temperature sensors feed data to NodeMCU V3 ESP8266 WiFi transceiver module controller, A key feature is integrating Android applications and web servers, enabling remote control and monitoring. This technological innovation ensures control over water and energy resources and changes climates, thereby creating sustainable and technologically driven agrarian practices.
Bio-signals play a very critical role in modern medicine, especially for paralyzed patients. The development of Brain-computer Interface (BCI) systems, which allows direct brain-to-external device contact, is made pos...
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ISBN:
(数字)9798331538538
ISBN:
(纸本)9798331538545
Bio-signals play a very critical role in modern medicine, especially for paralyzed patients. The development of Brain-computer Interface (BCI) systems, which allows direct brain-to-external device contact, is made possible by these signals, creating new ways for medical intervention and rehabilitation. Using these bio-signals, modern medicine has made great strides toward developing intelligent devices that enhance the quality of life for people who are paralyzed. These include improved mobility, supported communication devices, and environmentalcontrol. In this survey, we thoroughly assess the latest BCI-based smart devices and their medical applications. By finding and examining current methods, technologies, and practical uses, we seek to showcase the effectiveness and potential of brain-computer interfaces (BCIs) in providing new ways to treat paralysis. Currently, bio-signal-based control systems have been continuously used rapidly in biomedical devices and assistive robots to enhance and improve the quality of life for disabled and elderly individuals. Among these, electromyograph (EMG), electroencephalography (EEG), and electrooculography (EOG) bio-signals are highly used for improving modern technologies. The primary objectives of this paper are to detail the techniques used in Brain-computer interface-based smart devices and their applications, used in healthcare. Additionally, this paper provides an overview of applications controlled through these bio-signals and discusses the research challenges in developing these control systems.
This paper presents a smart garment to monitor the environmental parameters and user's vital signs;the wearable application is meant to monitor workers' conditions in harsh workplaces. The smart jacket integra...
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As Multi-Robot Systems (MRS) become more affordable and computing capabilities grow, they provide significant advantages for complex applications such as environmentalmonitoring, underwater inspections, or space expl...
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ISBN:
(数字)9798350377705
ISBN:
(纸本)9798350377712
As Multi-Robot Systems (MRS) become more affordable and computing capabilities grow, they provide significant advantages for complex applications such as environmentalmonitoring, underwater inspections, or space exploration. However, accounting for potential communication loss or the unavailability of communication infrastructures in these application domains remains an open problem. Much of the applicable MRS research assumes that the system can sustain communication through proximity regulations and formation control or by devising a framework for separating and adhering to a predetermined plan for extended periods of disconnection. The latter technique enables an MRS to be more efficient, but breakdowns and environmental uncertainties can have a domino effect throughout the system, particularly when the mission goal is intricate or time-sensitive. To deal with this problem, our proposed framework has two main phases: i) a centralized planner to allocate mission tasks by rewarding intermittent rendezvous between robots to mitigate the effects of the unforeseen events during mission execution, and ii) a decentralized replanning scheme leveraging epistemic planning to formalize belief propagation and a Monte Carlo tree search for policy optimization given distributed rational belief updates. The proposed framework outperforms a baseline heuristic and is validated using simulations and experiments with aerial vehicles.
There is an increasing amount of integration occurring worldwide in different electric distribution networks between utility-owned / non-utility-owned (customer-owned) digital devices and systems. The development of d...
There is an increasing amount of integration occurring worldwide in different electric distribution networks between utility-owned / non-utility-owned (customer-owned) digital devices and systems. The development of distribution automation, microgrids, and self-healing systems are examples of utility-owned asset growth. On the other hand, non-utility-owned investments include solar electricity generating, electric cars, and behind-the-meter energy storage technologies. The flexibility and scalability of current centralized control systems are limited, making it difficult to properly integrate the growing variety and quantity of devices, even with the potential information and monitoring points provided by these installations. The limitations of latency, scalability, and connection capacity prevent these new gadgets and networks from actively participating as dynamic resources in the centrally controlled framework. In order to improve operational flexibility by coordinating centralized as well as distributedcontrol systems, this article presents a standards-based architecture for distributed energy system controls. In order to improve resilience in the case of severe events and strengthen dependability during routine operations, the suggested system actively incorporates both utility also non-utility assets and uses a distributed design. The outcomes of field trials, complete information from a continuing full-scale deployment at Duke Energy, and laboratory test results are all included in the conclusions that are given.
This paper presents the potential application of a laser communication terminal (LCT) capable of transmitting real-time large-capacity environmentalmonitoring data, which is gathered through distributed acoustic sens...
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ISBN:
(数字)9788986510225
ISBN:
(纸本)9798350353877
This paper presents the potential application of a laser communication terminal (LCT) capable of transmitting real-time large-capacity environmentalmonitoring data, which is gathered through distributed acoustic sensing (DAS) systems and smart internet of things (IoT) sensors that can be installed in underground facilities. A DAS system capable of monitoring the environment in underground facilities can sense up to 10,000 points per channel, generating large-capacity of raw data at a rate of 1 giga samples per second (Gs/s) per channel. Furthermore, with the continuous increase in data acquired from smart IoT sensors, there is a demand for communication technology that can transmit large-capacity data at gigabit speeds in real-time to repeaters or control centers. The developed LCT offers a communication speed of 2.5 Gbps at a distance of approximately 700 meters and has been designed and manufactured to be compact and lightweight for easy installation and application in underground facilities.
The Chemical Pollutants system, which combines sophisticated data processing capabilities with networked sensors to identify and control chemical pollutants, transforms environmentalmonitoring. It collects real-time ...
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ISBN:
(数字)9798331539948
ISBN:
(纸本)9798331539955
The Chemical Pollutants system, which combines sophisticated data processing capabilities with networked sensors to identify and control chemical pollutants, transforms environmentalmonitoring. It collects real-time data on pollutants using extremely accurate sensors, which are then evaluated using cloud infrastructure and a reliable wireless connection. Predictive insights using machine learning algorithms provide notable improvements: 97% accuracy in sensor data, 3 seconds of data transmission latency, and $\mathbf{99.5\%}$ system uptime. There are now 1200 daily active users, and the prediction model’s accuracy is $\mathbf{92\%}$. environmentally, it resulted in a 30% decrease in PM2.5 levels, a halving of high pollution alerts to 10 per month, and an 85% increase in public awareness. The number of policy changes tripled to four each year, while community engagement quadrupled to twelve. The results highlight the system’s contribution to improving the timeliness and quality of environmental data, influencing public health and policy, and highlighting its efficacy and potential for wider environmental management use.
An intelligent traffic monitoring system is underway in India, addressing the prevalent challenges in the diverse traffic landscape, including accidents due to factors like careless driving and inadequate infrastructu...
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ISBN:
(数字)9798350361155
ISBN:
(纸本)9798350361162
An intelligent traffic monitoring system is underway in India, addressing the prevalent challenges in the diverse traffic landscape, including accidents due to factors like careless driving and inadequate infrastructure. The project utilizes Raspberry Pi and advanced computer vision techniques to establish a sophisticated monitoring infrastructure. The system's key goals involve vehicle recognition, speed estimation, and detection of violations like triple riding and helmet non-compliance. Violations, especially speeding incidents, are meticulously recorded, compiled in an Excel spreadsheet, and promptly forwarded via email for review and resolution. The integration of webcams with Raspberry Pi enables real-time traffic surveillance. Beyond enhancing traffic management, this technology aims to tackle road safety issues prevalent in various Indian traffic scenarios. Overall, the initiative emphasizes the crucial role of traffic system monitoring in ensuring safe and efficient road usage, reducing journey times and mitigating environmental impacts.
Smart farming technology allows farmers to control and analyse variables in real-time, helping them optimize crop growth and manage their operations more efficiently. The use of specialized sensors, data collection to...
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ISBN:
(数字)9798350380583
ISBN:
(纸本)9798350380590
Smart farming technology allows farmers to control and analyse variables in real-time, helping them optimize crop growth and manage their operations more efficiently. The use of specialized sensors, data collection tools, and advanced analytics in Internet of Things (IoT) systems is helping to bridge the gap between physical farm conditions and digital monitoring. In this study, we aim to develop a system that monitors soil conditions to support smart farming. The system provides farmers with live data on key environmental factors, such as temperature, humidity, soil moisture, and soil temperature, to improve crop yield and product quality. The IoT setup for this intelligent farming solution includes components like the DHT11 and humidity sensors, a DS18B20 temperature probe, LDR, water pump, and a 12V LED strip, all controlled by a NodeMCU. When the system is activated, it continuously monitors soil and environmental conditions and sends this information to the cloud for real-time access. If the soil moisture falls below a set threshold, the system automatically triggers irrigation. Our experimental results show that this model improves decision-making for managing farming conditions.
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