Chilli is one of the most important crops to the Indian economy as India is the largest producer and exporter of chilli, so it is essential that the crop is grown in a healthy and suitable environment. As chilli crops...
详细信息
The limitations of centralized optimization methods in managing electric power distribution systems operations have led to the distributed paradigm of computing and decision-making. Unfortunately, the existing distrib...
详细信息
ISBN:
(纸本)9781728161273
The limitations of centralized optimization methods in managing electric power distribution systems operations have led to the distributed paradigm of computing and decision-making. Unfortunately, the existing distributed optimization algorithms are limited in their applicability to managing fast varying phenomena such as those resulting from highly variable distributed Energy Resource (DER) generation patterns. They require a large number of communication rounds (in the order of 10(2) to 10(3)) among the computing agents to solve one instance of the optimization problem. Related real-time distributed control methods are equally limited in their applications to power distribution systems with fast-changing DER generation;they require hundreds of rounds of communication and thus are slow in tracking the network-level optimal solutions. In this paper, we propose a novel distributed voltage controller that provides a fast-tracking of rapidly varying DER generation profiles while simultaneously converging to network-level optimal solutions within a few communication rounds. The proposed control algorithm leverages the radial topology of the system, which reduces the required communication rounds to reach the network-level optimum solution by order of magnitude. The novelty lies in carefully reducing the electrical network model from the perspective of each distributed controller and enabling appropriate data sharing among upstream and downstream nodes to achieve fast convergence. The simulation results demonstrate the effectiveness of the proposed approach in minimizing the feeder losses while maintaining the node voltage within the pre-specified limits.
Large, open, public events, such as marathons and festivals, have always presented a unique safety challenge. These sprawling events, which can take up entire city blocks or stretch for many miles, can draw tens to hu...
详细信息
ISBN:
(纸本)9781665423243
Large, open, public events, such as marathons and festivals, have always presented a unique safety challenge. These sprawling events, which can take up entire city blocks or stretch for many miles, can draw tens to hundreds of thousands of spectators and in some cases have open admission. As it is impracticable to guarantee the subjection of every event-goer to a security screening, we propose a crowd-based explosive detection system that uses a multitude of low-cost ChemFET sensors which are distributed to attendees. As the sensors offer limited accuracy, we further propose a server-based decision-making framework that utilizes a two-level feedback loop between the sensors and the server and explores spatial and temporal locality of the collected data to overcome the inherent low-accuracy of individual sensors. We thoroughly explore two distinct detection schemes, stressing their performance under a myriad of conditions, thus showing that such a crowd-based detection system comprised of low-cost and low-accuracy sensors can deliver high detection accuracy with minimal false positives.
In this study, we focus on the problem of managing a hybrid, shared IoT-based monitoring system, in which stationary sensor devices are complemented with user-carried personal devices embedded with sensing capabilitie...
详细信息
ISBN:
(纸本)9781728169972
In this study, we focus on the problem of managing a hybrid, shared IoT-based monitoring system, in which stationary sensor devices are complemented with user-carried personal devices embedded with sensing capabilities. The envisioned crowd-assisted monitoring system must support the sharing of the sensing infrastructure among multiple concurrent sensing tasks that can have highly varying QoS requirements. In such a scenario, a key issue is to maximise the utilisation efficiency of the physical sensing resources and the QoS satisfaction of sensing tasks while limiting the redundancy of collected data. As in previous research, we advocate the use of an IoT Broker, an intermediary entity that (i) interacts with the IoT applications to collect their QoS requirements (i.e., spatial coverage, data notification frequency);and (ii) coordinates with the redundant sensor deployments and mobile devices to selectively activate and configure the data streams that are needed to fulfil application requirements in a cost-efficient way. Then, we have developed an optimisation framework to jointly select the set of physical sensing resources to activate and the data update frequency for maximising the overall sensing performance while limiting redundant data. A key feature of our proposed framework is to be privacy-friendly as it only requires coarse-grained space-time knowledge of device location. Extensive simulations under realistic WSN deployments and real-life mobility patterns confirm the efficiency of the proposed solution in terms of data-coverage gain and reduction of data redundancy with respect to classical non-hybrid monitoring systems.
Dry type air core reactor is often operated outdoors, and its insulation performance is affected by climate, insulation aging, voltage fluctuation and other factors, which makes it encounter various problems in operat...
详细信息
As the age profile of various societies keeps going up all over the world, in addition to the continuous surge in the populace suffering from long term illnesses, including diabetes, hypertension, cardiovascular probl...
详细信息
This research presents the design and control of an automatic monitoring system of the main water parameters for rainbow trout culture, which is a freshwater species distributed in the high Andean zones along with the...
详细信息
ISBN:
(纸本)9781665406918
This research presents the design and control of an automatic monitoring system of the main water parameters for rainbow trout culture, which is a freshwater species distributed in the high Andean zones along with the Andes mountain range, which will be given through mechatronic systems. This work presents the control and monitoring of temperature, dissolved oxygen level, pH, and water level independently so that monitoring and control are simple. The procedure shows the use of different sensors that capture the water parameters such as the use of a Ceratex analog sensor to measure the pH, also the PT100 that will help us to calculate the temperature, and finally an Oxymax sensor for dissolved oxygen, all this helps us to extend the species and prevent its extinction, For the part of the programmed environment the information will be sent and displayed in the visual environment of the system, parallel to this the controller will act based on the information received, to maintain the water parameters in the appropriate range for rainbow trout, which are dissolved oxygen greater than 6 mg / l and less than 8. 5mg/l, within the temperature level, the species lives in waters of 9° to 14° C and with a pH of 6.6 to 7.9. In addition, the automatic mechatronic system implemented will facilitate and improve the monitoring and control of water parameters for rainbow trout culture.
This paper presents a scalable open source IoT architecture. The proposed sensor network transforms a bicycle into a mobility way that records, stores and displays information acquired from multiple integrated sensors...
详细信息
ISBN:
(纸本)9783030222635;9783030222628
This paper presents a scalable open source IoT architecture. The proposed sensor network transforms a bicycle into a mobility way that records, stores and displays information acquired from multiple integrated sensors, such as body sensors, bicycle sensors, ambient sensors, and smartphones. The system uses a Raspberry Pi 3 as a storage server and Broker MQTT interconnecting different nodes that collect measurements of bicycle distance/speed, ambient temperature and humidity, measurements of accelerations and angular velocities in the three axes. This architecture is configured as an access point connected through ieee 802.11 using MQTT as a communication protocol. The information obtained is stored in a database using SQLite and displayed in real time on a smartphone, tablet or computer. Our prototype incorporates changes in the previously proposed architecture by improving the connection of new sensor nodes by modifying the access point and integrating the sensor node of temperature and humidity into the network.
Dry-type air-core reactor widely used in power systems is affected by many factors such as the manufacturing process, operating environment, insulation aging. The insulation performance has deteriorated, resulting in ...
详细信息
Modern society is heavily reliant on information and communication technologies, which has made it more vulnerable to a wide range of cyber-attacks in recent decades. A distributed Denial-of-Service (DDOS) attack, for...
详细信息
ISBN:
(纸本)9781665447539
Modern society is heavily reliant on information and communication technologies, which has made it more vulnerable to a wide range of cyber-attacks in recent decades. A distributed Denial-of-Service (DDOS) attack, for example, uses the strength of hundreds or even thousands of infected computer systems to attack data-processing services and online businesses sites, increasing as a result disruption and financial losses, and therefore denying services to legitimate customers. The study of distributed denial-of-service attacks is an important area of research which has been addressed by various approaches. In this review, we are mainly focusing on AI methods namely, Bayesian networks, K-nearest neighbor algorithm, fuzzy logic, Neural Network, Support Vector Machine, and Genetic Algorithm to address distributed denial-of-service attacks.
暂无评论