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3 produkter
3 produkter
Häftad, Engelska, 2021
671 kr
Skickas inom 10-15 vardagar
Acoustic-Based Applications for Vertebrate Vocalization is designed to help researchers improve their findings and knowledge of vertebrate vocalization by focusing on the integration of acoustic features with new technologies, such as the Internet of Things (IoT), cloud computing, and virtual and cognitive reality. The book addresses the most common challenges in vertebrate vocalization-based research via suitable audio signal processing techniques, data collection, data pre-processing, acoustic feature engineering, extraction, and selection for multidisciplinary applications, i.e. feature classification, vertebrate communication, behavioral analysis, and signal pattern analysis. The book is an important reference for scholars, researchers, industry practitioners, teachers, and students across a number of disciplines, including bioengineering, audio engineering, systems engineering, biotechnology, signal processing, biology, zoology, and animal sciences.
E-bok
Engelska, 2021896 kr
Läs direkt efter köp
Acoustic-Based Applications for Vertebrate Vocalization is designed to help researchers improve their findings and knowledge of vertebrate vocalization by focusing on the integration of acoustic features with new technologies, such as the Internet of Things (IoT), cloud computing, and virtual and cognitive reality. The book addresses the most common challenges in vertebrate vocalization-based research via suitable audio signal processing techniques, data collection, data pre-processing, acoustic feature engineering, extraction, and selection for multidisciplinary applications, i.e. feature classification, vertebrate communication, behavioral analysis, and signal pattern analysis. The book is an important reference for scholars, researchers, industry practitioners, teachers, and students across a number of disciplines, including bioengineering, audio engineering, systems engineering, biotechnology, signal processing, biology, zoology, and animal sciences.
E-bok
PDF, Engelska, 2020384 kr
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Document from the year 2020 in the subject Engineering - Computer Engineering, , language: English, abstract: Sensor nodes have restricted storage, computational and energy resources, these restrictions place a limit on the types of deployable routing mechanisms. Routing protocol disseminates information that enables the sensor nodes to select routes to communicate with other nodes on the network and the choice of the route is determined by the routing algorithms. Thus the routing protocol helps the nodes to gain knowledge about the topology of the network to which it is attached directly. There are mainly two types of routing processes: one is static routing and the other is dynamic routing. In a static routing, the routing tables are set up in a static manner in the nodes. The network routes for the packet are initially set between the nodes. However, if any node on the specified route fails, the data may not reach the destination. In a dynamic routing, routing tables in the routers often change whenever the possible routes change. Dynamic routing is more suitable as the nodes in WSNs may frequently change their position and die at any moment. The routing protocols are classified into single hop and multi hop routing. In a single hop routing, sensor node directly communicates with the sink to share the gathered information. Energy consumption is high in the network using single hop protocol. In multi hop routing, data is routed through the intermediate nodes to the base station. Each node transfers sensed data to the immediate node which in turn transfers the data to the next immediate node and finally the data reaches the base station. Energy consumption in this kind of routing protocol is less and thus the lifetime of the nodes is high. The major challenge to the efficient operation of wireless sensor network lies in its ability to deliver the sensed information from the nodes to the sink within the specific time duration without the loss of data packets with high security. The sensor nodes depend on the battery source for their operation which has limited capacity. Thus the energy resource of the sensor nodes has to be used efficiently in order to increase the operational lifetime of the network.