This paper presents a knowledge-based, data-driven method for using data describing action-sound couplings collected from a group of people to generate multiple complex mappings between the performance movements of a musician and sound synthesis. This is done by using a database of multimodal motion data collected from multiple subjects coupled with sound synthesis parameters. A series of sound...

Acoustic vector sensors (AVS), as they were recently developed based upon acoustic particle velocity sensors may improve the performance of Unmanned Aerial Vehicles (UAV) in terms of automatic take off and landing (ATOL), ground surveillance and mid air anti collision. Any sound field can be described by both the scalar value sound pressure and the vector value acoustic particle velocity. Only ...

Sensor networks consist of nodes that can measure characteristics of their local environment, perform computations, and communicate with each other over a wireless network. In recent years, advancements in hardware and lowlevel software have led to viable, medium-scale sensor networks consisting of hundreds of nodes that can instrument unstructured environments at an unprecedented scale. For ex...

Underwater Wireless Sensor Networks (UWSN) share the common challenges of terrestrial Wireless Sensor Network (WSN), however they are significantly different from terrestrial WSN. Mainly, because acoustic wireless communication is the main physical layer technology in UWSN. Acoustic communication offers longer range, but has limitations due to low speed of sound, high error probability, limited...

The rapid growth of network utilization raises a new concept as wireless sensor networks (WSN). Sensor networks consist of spatially distributed autonomous sensor to monitor physical or environmental conditions (i.e. temperature, sound pressure etc.) to develop area monitoring, air quality monitoring, and forest fire detection kind of applications. The major design constraint with WSN is resour...

A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure. Due to the maintenance reason, we may update the software to fix bugs. Because there are more and more sensor nodes using in the vehicle, smart environment, Software updating for wireless sensor networks has become...

Wireless sensor networks (WSN) are used to monitor physical or environmental conditions like temperature, sound, pressure, etc. Due to the monitoring process, it requires more energy and power. But the major drawback is energy consumption and it is difficult to maintain the energy level of each sensor node. To overcome these issues, proposed a new algorithm called SSNC (smart sensor network Usi...

Wireless Sensor Networks (WSNs) consist of sensor nodes those are capable of sensing environmental data such as temperature, humidity, pressure, sound etc. and transmit those data to a basestation through the network. Achieving sufficient coverage in the sensing area is a challenging feature in WSNs. Coverage indicates that how well an area is monitored i. e. , whether each location of an area ...

Wireless Sensor Networks (WSNs) consists of numerous small sensors. These sensors are wirelessly connected to each other for performing same task collectively such as monitoring weather conditions or specifically parameters like temperature, pressure, sound and vibrations etc. For all applications partial or full time synchronization is required and the message exchanged by sensor nodes for dat...

Wireless sensors network is a type of the ad-hoc network. It is comprised of many sensors which are interlinked with each other for performing the same function collectively such as monitoring the weather conditions, temperature, different kind of vibrations and sound etc. Any distributed system requires time synchronization. In particular, time Synchronization is extremely important for Wirele...