The sensor nodes are distributed over the specific geographical region within the wireless sensor network. Since nodes are randomly deployed, network could have low as well as densely deployed network areas. The DBSCA...
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Usually movement of goods from one location to another requires human input. This is a tiring job in industries where goods are picked and placed in bulk and the weight of goods to be carried is beyond human potential...
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This paper aims to solve challenges concerning cost, manual labor, and efficiency in aquaponics by designing and implementing NeuroAqua, an optimized and automated AI and IoT-based aquaponics system, in both a lab set...
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ISBN:
(数字)9798350372977
ISBN:
(纸本)9798350372984
This paper aims to solve challenges concerning cost, manual labor, and efficiency in aquaponics by designing and implementing NeuroAqua, an optimized and automated AI and IoT-based aquaponics system, in both a lab setting (small-scale) and a field setting (large-scale) in Ouroboros Farms in Half Moon Bay, CA. In the system, wireless sensors monitor key factors for system effectiveness and send data to a cloud database. NeuroAqua integrates 6 types of sensors, collecting data regarding the environment, water, and nutrients, such as air temperature, humidity, pH, light, Nitrogen, Phosphorus, Potassium, and Total Dissolved Solids. Camera module sensors were also developed to capture and monitor plant growth automatically. These 6 types of sensors were implemented in both settings and successfully collected 8 plant growth samples (2 types of plants in 4 different settings) each across 2 weeks from NeuroAqua. NeuroAqua transformed the data from the sensors into a structured database, which was fed to the machine learning (ML) models for data analysis. It also feeds data to our online monitoring system and sends out alarms when the tested values fall below or exceed the normal range. NeuroAqua is the first aquaponics system to implement a comprehensive automatic machine learning system into a real farm setting.
distributed wireless networks are capable of delivering solutions for countless engineering and viable applications. The sensor nodes of these wireless networks tolerate tons of limitations namely low computation capa...
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Wireless sensor Networks (WSN) focus on designing energy efficient mechanisms by selecting an optimal Cluster Head (CH) and implementing secure routing protocols. The WSN aims to reduce energy consumption while dynami...
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ISBN:
(数字)9798331508456
ISBN:
(纸本)9798331508463
Wireless sensor Networks (WSN) focus on designing energy efficient mechanisms by selecting an optimal Cluster Head (CH) and implementing secure routing protocols. The WSN aims to reduce energy consumption while dynamically maximizing network efficiency. However, secure routing and Cluster Head (CH) selection in dynamic networks is optimal but challenging in WSNs. To overcome this problem, a hybrid optimization-based algorithm, Harris Hawks Optimization with Arithmetic Optimization Algorithm HHAOA is proposed to choose the optimal CHs in a dynamic network. The proposed HHAOA is utilized for solving coverage and connectivity issues in the routing algorithm. The proposed HHAOA system minimizes energy consumption for superior network performance. Additionally, multi-hop transmission and distance-based fitness function are employed for efficient CH and route path selection to ensure that coverage and connectivity parameters are taken into consideration for model proficiency with minimal energy consumption. The fitness function is used to measure the distance between CH and Base Station (BS), node degree, location factor, energy and distance for optimal CH and routing path selection. The proposed HHAOA consumes 63 (J) energy for 100 nodes with a throughput of 98 (kbps) for each100 rounds.
With the development of distributed generation (DG), fault self-healing technology in active distribution network (ADN)has also become a focus of research. This article proposes a fault self-healing method based on hi...
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ISBN:
(数字)9798350365443
ISBN:
(纸本)9798350365450
With the development of distributed generation (DG), fault self-healing technology in active distribution network (ADN)has also become a focus of research. This article proposes a fault self-healing method based on hierarchical reinforcement learning (HRL). Firstly, by obtaining the topology, network parameters, and DG parameters of the ADN, a simulation model of the ADN is constructed. Subsequently, a reinforcement learning framework for real-time control of ADN was established, and the self-healing strategy for distribution network faults was modeled based on a hierarchical decision-making mechanism. Afterwards, a layered objective reward function is modeled to generate reward signals based on the operational status of the distribution network; Using HRL algorithm to train in a distribution network simulation environment, a fault self-healing strategy model is obtained. Finally, based on the actual fault line information and the fault self-healing strategy model, a distribution network fault self-healing strategy is generated to achieve self-healing of the ADN. The self-healing method is evaluated on the ieee33-node system, which indicate its rationality and effectiveness fully verified.
As society gradually relies on technologies to prevent dangers and detect the environment, the processing of data transmission and analysis becomes important. In recent years, firefighters are sacrificed during rescue...
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Internet of Things (IoT) is an escalating trend in today's world, and has proved to be a game changer in the field of technology. More and more sensors and devices are being connected together to develop new syste...
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ISBN:
(纸本)9781728185194
Internet of Things (IoT) is an escalating trend in today's world, and has proved to be a game changer in the field of technology. More and more sensors and devices are being connected together to develop new systems to solve real world problems. With the increase in technology and automation, security has become a major concern. The first line of defense for any property is always a security system, which alerts the owners regarding intrusion in real time. Currently, there exist multiple security systems, which make use of various motion sensors to detect any motion and notify the owner about the intrusion. However, most of these systems do not provide the features of zone barriers, facial recognition, remote camera surveillance and power failure detection, combined with ease of use, economic viability and power efficiency. The main objective of the proposed architecture is to overcome all these problems by developing a smart security and surveillance system which makes use of multiple ultrasonic sensors to detect intrusion attempts on the property of the owner, in order to notify them of the presence of an unauthorized person. Also, the system provides a warning to the person who has intentionally or unintentionally entered the property, so that they can step back in time, without triggering any alarm. With the help of a remote camera surveillance feature, the owner can monitor the surroundings of their property remotely. This system will issue an alert to the owner in case of a power failure as well. This system provides face recognition as an authentication procedure, in order to allow the valid entrants to enter into their property. All these features combined, create a flexible and reliable security system, which can be used in various properties, such as homes, offices, museums and so on.
Current work in the field of smart contracts is primarily aimed at developers and directly connected to an underlying cryptocurrency. Those self-enforcing contracts are suitable for financial applications, but often d...
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ISBN:
(纸本)9781665416238
Current work in the field of smart contracts is primarily aimed at developers and directly connected to an underlying cryptocurrency. Those self-enforcing contracts are suitable for financial applications, but often disregard regular agreements that do not rely on digital money or are difficult to specify in the form of program code. In order to promote social interaction and self-organization for all types of users, we present Fides, a framework for creating contracts based on natural language that focuses on security and privacy. The use of natural language, detached from the actual payment process, allows everyone to create digital contracts inside a decentralized peer-to-peer network without relying on an inefficient Blockchain solution. These agreements are not only intended for interactions between humans, but can also be established between devices by automation.
This article proposes a multilevel coordinated voltage control (CVC) strategy for facilitating distributed residential demand response for network voltage optimization. The proposed CVC scheme coordinates multiple hom...
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This article proposes a multilevel coordinated voltage control (CVC) strategy for facilitating distributed residential demand response for network voltage optimization. The proposed CVC scheme coordinates multiple home energy management systems (HEMS) connected on a low-voltage radial distribution network through a sensitivity-based approach to minimize voltage deviations in multiple timescales owing to high photovoltaic (PV) penetrations and load variability. In order to mitigate the effects of uncertain PV output and load during actual system operation, a day-ahead two-stage robust optimization (TSRO) model has been developed, which optimizes network operation in the longer timescale, for worst-case realization of uncertainties in shorter timescales. This is sequentially followed by fully distributed hour-ahead CVC which is decomposed into network optimization and energy management subproblems through alternating direction method of multipliers. In order to counteract the effects of real-time uncertainties, local adjustments are performed by redispatching HEMS at individual households to locally adapt to unforeseen variations, thereby minimizing real-time voltage deviations. Extensive simulations are performed on the modified Dutch LV network. Simulation results demonstrate effectiveness of the proposed multilevel CVC approach to robustly handle uncertainties while ensuring reliable operation and maximum user-comfort.
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