Long-Range Binocular Vision Target Geolocation Using Handheld Electronic Devices in Outdoor Environment

ABSTRACT Electrically conductive protein nanowires appear to be widespread in the microbial world and are a revolutionary “green” material for the fabrication of electronic devices. Electrically conductive pili (e-pili) assembled from type IV pilin monomers have independently evolved multiple times in microbial history as have electrically conductive archaella (e-archaella) assembled from homologous archaellin monomers. A role for e-pili in long-range (micrometer) extracellular electron transport has been demonstrated in some microbes. The surprising finding of e-pili in syntrophic bacteria and the role of e-pili as conduits for direct interspecies electron transfer have necessitated a reassessment of routes for electron flux in important methanogenic environments, such as anaerobic digesters and terrestrial wetlands. Pilin monomers similar to those found in e-pili may also be a major building block of the conductive “cables” that transport electrons over centimeter distances through continuous filaments of cable bacteria consisting of a thousand cells or more. Protein nanowires harvested from microbes have many functional and sustainability advantages over traditional nanowire materials and have already yielded novel electronic devices for sustainable electricity production, neuromorphic memory, and sensing. e-pili can be mass produced with an Escherichia coli chassis, providing a ready source of material for electronics as well as for studies on the basic mechanisms for long-range electron transport along protein nanowires. Continued exploration is required to better understand the electrification of microbial communities with microbial nanowires and to expand the “green toolbox” of sustainable materials for wiring and powering the emerging “Internet of things.”

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Assessing the accommodation response after near visual tasks using different handheld electronic devices

Arquivos Brasileiros de Oftalmologia ◽

10.5935/0004-2749.20170004 ◽

2017 ◽

Vol 80 (1) ◽

Cited By ~ 3

Author(s):

Aikaterini I. Moulakaki ◽

Alberto Recchioni ◽

Antonio J. Del Águila-Carrasco ◽

José J. Esteve-Taboada ◽

Robert Montés-Micó

Keyword(s):

Electronic Devices ◽

Visual Tasks ◽

Handheld Electronic Devices

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Parametric thermal modeling of heat transfer in handheld electronic devices

2008 11th Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems ◽

10.1109/itherm.2008.4544324 ◽

2008 ◽

Cited By ~ 1

Author(s):

Jaeho Lee ◽

David W. Gerlach ◽

Yogendra K. Joshi

Keyword(s):

Heat Transfer ◽

Thermal Modeling ◽

Electronic Devices ◽

Handheld Electronic Devices

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Assessing Vehicle Profiling Accuracy of Handheld LiDAR Compared to Terrestrial Laser Scanning for Crash Scene Reconstruction

Sensors ◽

10.3390/s21238076 ◽

2021 ◽

Vol 21 (23) ◽

pp. 8076

Author(s):

Jairaj Desai ◽

Jidong Liu ◽

Robert Hainje ◽

Robert Oleksy ◽

Ayman Habib ◽

...

Keyword(s):

Laser Scanning ◽

Measurement Accuracy ◽

Electronic Devices ◽

Terrestrial Laser Scanning ◽

Light Detection And Ranging ◽

Mean Square ◽

Profiling Techniques ◽

Subsequent Measurement ◽

Maximum Root ◽

Handheld Electronic Devices

Forensic crash investigation often requires developing detailed profiles showing the location and extent of vehicle damage to identify impact areas, impact direction, deformation, and estimated vehicle speeds at impact. Traditional damage profiling techniques require extended and comprehensive setups for mapping and measurement that are quite labor- and time-intensive. Due to the time involved, this damage profiling is usually done in a remote holding area after the crash scene is cleared. Light detection and ranging (LiDAR) scanning technology in consumer handheld electronic devices, such as smartphones and tablets, holds significant potential for conducting this damage profile mapping in just a few minutes, allowing the mapping to be conducted at the scene before the vehicle(s) are moved. However, there is limited research and even scarcer published literature on field procedures and/or accuracy for these emerging smartphones and tablets with LiDAR. This paper proposes a methodology and subsequent measurement accuracy comparisons for survey-grade terrestrial laser scanning (TLS) and handheld alternatives. The maximum root mean square error (RMSE) obtained for profile distance between handheld (iPad) and survey-grade TLS LiDAR scans for a damaged vehicle was observed to be 3 cm, a level of accuracy that is likely sufficient and acceptable for most forensic studies.

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A Robust Biometric Authentication System for Handheld Electronic Devices by Intelligently Combining 3D Finger Motions and Cerebral Responses

IEEE Transactions on Consumer Electronics ◽

10.1109/tce.2021.3055419 ◽

2021 ◽

Vol 67 (1) ◽

pp. 58-67

Author(s):

Santosh K. Behera ◽

Pradeep Kumar ◽

Debi P. Dogra ◽

Partha P. Roy

Keyword(s):

Electronic Devices ◽

Biometric Authentication ◽

Authentication System ◽

Handheld Electronic Devices

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M-Learning: An Integrative Approach to Increase Student Engagement

LETRAS ◽

10.15359/rl.1-67.7 ◽

2020 ◽

pp. 145-175

Author(s):

Vivian Vargas Barquero ◽

Natin Guzmán Arce

Keyword(s):

Costa Rica ◽

Student Engagement ◽

Foreign Language ◽

Real Time ◽

Mobile Devices ◽

Electronic Devices ◽

Integrative Approach ◽

Learning And Teaching ◽

Language Classroom ◽

Handheld Electronic Devices

M-learning utilizes handheld electronic devices as didactic tools for facilitating learning and teaching within real-time access in the language classroom. Current studies on m-learning suggest that the incorporation of electronic devices can lead to greater student engagement and better performance. Using a questionnaire, 22 professors from the major Bachelor’s in the Teaching of English as a Foreign Language from the Universidad Nacional (Costa Rica) were surveyed about how mobile devices are being implemented in the language classroom.

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Features of Language Learning in Handheld Electronic Devices

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.63-64.94 ◽

2011 ◽

Vol 63-64 ◽

pp. 94-97

Author(s):

Gao Da He ◽

Hui Chen

Keyword(s):

Learning Environment ◽

Foreign Language ◽

Language Learning ◽

Language Learners ◽

Electronic Devices ◽

Foreign Language Learners ◽

Language Input ◽

Handheld Electronic Devices

Handheld electronic devices promote M-learning greatly. Foreign language learners favour the learning environment in handheld electronic devices. The authors explore the features of language learning in handheld electronic devices from the prospective of language input theory.The paper discusses the comprehension, nature and authenticity, abundance and varieties in language learning with handheld electronic devices.

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Wi-PoS: A Low-Cost, Open Source Ultra-Wideband (UWB) Hardware Platform with Long Range Sub-GHz Backbone

Sensors ◽

10.3390/s19071548 ◽

2019 ◽

Vol 19 (7) ◽

pp. 1548 ◽

Cited By ~ 4

Author(s):

Ben Van Herbruggen ◽

Bart Jooris ◽

Jen Rossey ◽

Matteo Ridolfi ◽

Nicola Macoir ◽

...

Keyword(s):

Energy Consumption ◽

Open Source ◽

Long Range ◽

Indoor Localization ◽

Average Energy ◽

Multipath Fading ◽

Outdoor Environment ◽

Ultra Wideband ◽

Hardware Platform ◽

Open Source Hardware

Ultra-wideband (UWB) localization is one of the most promising approaches for indoor localization due to its accurate positioning capabilities, immunity against multipath fading, and excellent resilience against narrowband interference. However, UWB researchers are currently limited by the small amount of feasible open source hardware that is publicly available. We developed a new open source hardware platform, Wi-PoS, for precise UWB localization based on Decawave’s DW1000 UWB transceiver with several unique features: support of both long-range sub-GHz and 2.4 GHz back-end communication between nodes, flexible interfacing with external UWB antennas, and an easy implementation of the MAC layer with the Time-Annotated Instruction Set Computer (TAISC) framework. Both hardware and software are open source and all parameters of the UWB ranging can be adjusted, calibrated, and analyzed. This paper explains the main specifications of the hardware platform, illustrates design decisions, and evaluates the performance of the board in terms of range, accuracy, and energy consumption. The accuracy of the ranging system was below 10 cm in an indoor lab environment at distances up to 5 m, and accuracy smaller than 5 cm was obtained at 50 and 75 m in an outdoor environment. A theoretical model was derived for predicting the path loss and the influence of the most important ground reflection. At the same time, the average energy consumption of the hardware was very low with only 81 mA for a tag node and 63 mA for the active anchor nodes, permitting the system to run for several days on a mobile battery pack and allowing easy and fast deployment on sites without an accessible power supply or backbone network. The UWB hardware platform demonstrated flexibility, easy installation, and low power consumption.

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