Speaker diarization using low-cost wearable wireless sensors

2012 ◽  
Author(s):  
Muhannad Quwaider ◽  
Subir Biswas
Keyword(s):  
Wireless Sensors ◽  
Low Cost ◽  
Speaker Diarization

scholarly journals Proposal and Application of Bluetooth Mesh Profile for Smart Cities’ Services

Smart Cities ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Adonay Veiga ◽  
Claudia Abbas
Keyword(s):  
Environmental Sustainability ◽  
Wireless Sensors ◽  
Mesh Networks ◽  
Smart Cities ◽  
Low Cost ◽  
Mesh Network ◽  
Traffic Light ◽  
Communications Technologies ◽  
Multicast Communications ◽  
Further Development

‘Smart cities’ is a concept that embraces many technologies and solutions in sensing and carrying a city’s data through a network for further processing and analysis. Smart cities’ main priority is citizens and environmental sustainability. In practice, wireless sensors networks over mesh networks are the approach employed most of the time. In terms of wireless communications technologies, Bluetooth low energy offers a robust, low cost, and low power consumption option. The recently published Bluetooth mesh profile specification addresses the most relevant challenges on that paradigm, adding secure multicast communications capabilities. A framework to create Smart Cities services was proposed and a traffic light service was used to demonstrate specification applicability for smart cities’ services. The proposed service showed that data may be collected and shared between devices in a mesh network through and over a metropolitan area. The specification’s strengths were demonstrated and some topics for further development were identified.

Low cost wireless sensors for distribution grid intelligence and resiliency

2017 ◽  
Author(s):  
Arnab Kundu ◽  
Asis Nasipuri ◽  
Badrul Chowdhury ◽  
Darshan Prabhu ◽  
Krupa Mahesh ◽  
...  
Keyword(s):  
Wireless Sensors ◽  
Low Cost ◽  
Distribution Grid

scholarly journals Remote monitoring of an object using a wireless sensor network based on NODEMCU ESP8266

2019 ◽  
Vol 16 (3) ◽  
pp. 1154
Author(s):  
Hicham Ouldzira ◽  
Ahmed Mouhsen ◽  
Hajar Lagraini ◽  
Mostafa Chhiba ◽  
Abdelmoumen Tabyaoui ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Wireless Sensors ◽  
Smart Cities ◽  
Low Cost ◽  
Effective Means ◽  
Access Point ◽  
Wireless Sensor ◽  
Ecosystem Monitoring ◽  
Mobile Access ◽  
Remote Surveillance

<p>In recent years, wireless sensors networks (WSNs) have been imposed as an effective means of interconnection with simultaneous communication and information processing. They allow operating with sensors at low cost and low power consumption in various application areas such as ecosystem monitoring, detection and monitoring of objects and smart cities, etc.This paper describes the development of a system to detect the presence of an object and monitor it. This prototype is based on four NodeMcu modules (a static access point that provides the WIFI network, a server, a client and a mobile access point attached to the remote surveillance object) programmed under Arduino IDE and communicating between them via the HTTP protocol. The remote monitoring of the object for a linear disposition of the nodes used is based on the existence of the mobile access point in the HTTP client field.</p>

scholarly journals Novel wireless sensors for in situ measurement of sub-ice hydrologic systems

2014 ◽  
Vol 55 (65) ◽  
pp. 41-50 ◽  
Author(s):  
E.A. Bagshaw ◽  
B. Lishman ◽  
J.L. Wadham ◽  
J.A. Bowden ◽  
S.G. Burrow ◽  
...  
Keyword(s):  
Wireless Sensors ◽  
Low Cost ◽  
Water Pressure ◽  
Greenland Ice Sheet ◽  
Field Testing ◽  
Wireless Data ◽  
Sensor Platforms ◽  
Hydrologic Systems ◽  
Drainage Channels

AbstractWireless sensors have the potential to provide significant insight into in situ physical and biogeochemical processes in sub-ice hydrologic systems. However, the nature of the glacial environment means that sensor deployment and data return is challenging. We describe two bespoke sensor platforms, electronic tracers or ‘ETracers’, and ‘cryoegg’, for untethered, wireless data collection from glacial hydrologic systems, including subglacial channels. Both employ radio frequencies for data transmission, are designed to endure harsh environmental conditions and can withstand low temperatures, high pressure, turbulence and abrasion. We discuss the design, optimization and field testing of the ETracers and cryoegg, culminating in test deployments beneath the Greenland ice sheet. The small, low-cost ETracers were able to travel through subglacial drainage channels, from where they returned water pressure measurements through 100 m of ice, and could measure water depth in crevasses. The larger cryoegg was able to return multi-parameter data from moulins through 500 m of wet ice to receivers up to 2 km away, and from 12 m depth in a proglacial lake to a receiver on the shore. The tests demonstrate that the cryoegg and ETracers are low-power, versatile, robust wireless sensor platforms suitable for glacial environments, which may be used with portable, low-cost receiving equipment.

Estimating Pedestrian Densities, Wait Times, and Flows with Wi-Fi and Bluetooth Sensors

2017 ◽  
Vol 2644 (1) ◽  
pp. 72-82 ◽  
Author(s):  
Abdullah Kurkcu ◽  
Kaan Ozbay
Keyword(s):  
Data Collection ◽  
Mobile Devices ◽  
Public Transportation ◽  
Wireless Sensors ◽  
Low Cost ◽  
Wait Times ◽  
Wireless Data ◽  
Detection Zone ◽  
Or Groups ◽  
Monitoring Technologies

Monitoring nonmotorized traffic is gaining more attention in the context of transportation studies. Most of the traditional pedestrian monitoring technologies focus on counting pedestrians passing through a fixed location in the network. It is thus not possible to anonymously track the movement of individuals or groups as they move outside each particular sensor’s range. Moreover, most agencies do not have continuous pedestrian counts mainly because of technological limitations. Wireless data collection technologies, however, can capture crowd dynamics by scanning mobile devices. Data collection that takes advantage of mobile devices has gained much interest in the transportation literature as a result of its low cost, ease of implementation, and richness of the captured data. In this paper, algorithms to filter and aggregate data collected by wireless sensors are investigated, as well as how to fuse additional data sources to improve the estimation of various pedestrian-based performance measures. Procedures to accurately filter the noise in the collected data and to find pedestrian flows, wait times, and counts with wireless sensors are presented. The developed methods are applied to a 2-month-long collection of public transportation terminal data carried out with the use of six sensors. Results point out that if the penetration rate of discoverable devices is known, then it is possible to accurately estimate the number of pedestrians, pedestrian flows, and average wait times in the detection zone of the developed sensors.

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