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https://www.readbyqxmd.com/read/28098822/application-of-fault-tree-analysis-and-fuzzy-neural-networks-to-fault-diagnosis-in-the-internet-of-things-iot-for-aquaculture
#1
Yingyi Chen, Zhumi Zhen, Huihui Yu, Jing Xu
In the Internet of Things (IoT) equipment used for aquaculture is often deployed in outdoor ponds located in remote areas. Faults occur frequently in these tough environments and the staff generally lack professional knowledge and pay a low degree of attention in these areas. Once faults happen, expert personnel must carry out maintenance outdoors. Therefore, this study presents an intelligent method for fault diagnosis based on fault tree analysis and a fuzzy neural network. In the proposed method, first, the fault tree presents a logic structure of fault symptoms and faults...
January 14, 2017: Sensors
https://www.readbyqxmd.com/read/28091620/role-of-molecular-conformations-in-rubrene-polycrystalline-films-growth-from-vacuum-deposition-at-various-substrate-temperatures
#2
Ku-Yen Lin, Yan-Jun Wang, Ko-Lun Chen, Ching-Yuan Ho, Chun-Chuen Yang, Ji-Lin Shen, Kuan-Cheng Chiu
We report on the optical and structural characterization of rubrene polycrystalline films fabricated from vacuum deposition with various substrate temperatures (Tsub). Depending on Tsub, the role of twisted and planar rubrene conformational isomers on the properties of rubrene films is focused. The temperature (T)-dependent inverse optical transmission (IOT) and photoluminescence (PL) spectra were performed on these rubrene films. The origins of these IOT and PL peaks are explained in terms of the features from twisted and planar rubrene molecules and of the band characteristics from rubrene molecular solid films...
January 16, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28075347/sdtcp-towards-datacenter-tcp-congestion-control-with-sdn-for-iot-applications
#3
Yifei Lu, Zhen Ling, Shuhong Zhu, Ling Tang
The Internet of Things (IoT) has gained popularity in recent years. Today's IoT applications are now increasingly deployed in cloud platforms to perform Big Data analytics. In cloud data center networks (DCN), TCP incast usually happens when multiple senders simultaneously communicate with a single receiver. However, when TCP incast happens, DCN may suffer from both throughput collapse for TCP burst flows and temporary starvation for TCP background flows. In this paper, we propose a software defined network (SDN)-based TCP congestion control mechanism, referred to as SDTCP, to leverage the features, e...
January 8, 2017: Sensors
https://www.readbyqxmd.com/read/28062391/personal-health-records-a-systematic-literature-review
#4
REVIEW
Alex Roehrs, Cristiano André da Costa, Rodrigo da Rosa Righi, Kleinner Silva Farias de Oliveira
BACKGROUND: Information and communication technology (ICT) has transformed the health care field worldwide. One of the main drivers of this change is the electronic health record (EHR). However, there are still open issues and challenges because the EHR usually reflects the partial view of a health care provider without the ability for patients to control or interact with their data. Furthermore, with the growth of mobile and ubiquitous computing, the number of records regarding personal health is increasing exponentially...
January 6, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28042863/evaluating-the-more-suitable-ism-frequency-band-for-iot-based-smart-grids-a-quantitative-study-of-915-mhz-vs-2400-mhz
#5
Ruben M Sandoval, Antonio-Javier Garcia-Sanchez, Felipe Garcia-Sanchez, Joan Garcia-Haro
IoT has begun to be employed pervasively in industrial environments and critical infrastructures thanks to its positive impact on performance and efficiency. Among these environments, the Smart Grid (SG) excels as the perfect host for this technology, mainly due to its potential to become the motor of the rest of electrically-dependent infrastructures. To make this SG-oriented IoT cost-effective, most deployments employ unlicensed ISM bands, specifically the 2400 MHz one, due to its extended communication bandwidth in comparison with lower bands...
December 31, 2016: Sensors
https://www.readbyqxmd.com/read/28042831/a-novel-secure-iot-based-smart-home-automation-system-using-a-wireless-sensor-network
#6
Sandeep Pirbhulal, Heye Zhang, Md Eshrat E Alahi, Hemant Ghayvat, Subhas Chandra Mukhopadhyay, Yuan-Ting Zhang, Wanqing Wu
Wireless sensor networks (WSNs) provide noteworthy benefits over traditional approaches for several applications, including smart homes, healthcare, environmental monitoring, and homeland security. WSNs are integrated with the Internet Protocol (IP) to develop the Internet of Things (IoT) for connecting everyday life objects to the internet. Hence, major challenges of WSNs include: (i) how to efficiently utilize small size and low-power nodes to implement security during data transmission among several sensor nodes; (ii) how to resolve security issues associated with the harsh and complex environmental conditions during data transmission over a long coverage range...
December 30, 2016: Sensors
https://www.readbyqxmd.com/read/28029119/reverse-engineering-and-security-evaluation-of-commercial-tags-for-rfid-based-iot-applications
#7
Tiago M Fernández-Caramés, Paula Fraga-Lamas, Manuel Suárez-Albela, Luis Castedo
The Internet of Things (IoT) is a distributed system of physical objects that requires the seamless integration of hardware (e.g., sensors, actuators, electronics) and network communications in order to collect and exchange data. IoT smart objects need to be somehow identified to determine the origin of the data and to automatically detect the elements around us. One of the best positioned technologies to perform identification is RFID (Radio Frequency Identification), which in the last years has gained a lot of popularity in applications like access control, payment cards or logistics...
December 24, 2016: Sensors
https://www.readbyqxmd.com/read/28028385/hplc-estimation-of-iothalamate-to-measure-glomerular-filtration-rate-in-humans
#8
Iltaf Shah, James Barker, Declan P Naughton, Stephen J Barton, Syed Salman Ashraf
Glomerular filtration rate (GFR) is usually determined by estimation of iothalamate (IOT) clearance. We have developed and validated an accurate and robust method for the analysis of IOT in human plasma and urine. The mobile phase consisted of methanol and 50 mM sodium phosphate (10:90; v/v). Flow rate was 1.2 mL/min on a C18 reverse phase column, Synergi-hydro (250 × 4.6 mm) 4 µm 80 Å, with an ultraviolet detector set to 254 nm. Acetonitrile was used for the deproteination and extraction of IOT from human plasma and urine...
2016: Chemistry Central Journal
https://www.readbyqxmd.com/read/27999538/robotic-and-virtual-reality-bcis-using-spatial-tactile-and-auditory-oddball-paradigms
#9
REVIEW
Tomasz M Rutkowski
The paper reviews nine robotic and virtual reality (VR) brain-computer interface (BCI) projects developed by the author, in collaboration with his graduate students, within the BCI-lab research group during its association with University of Tsukuba, Japan. The nine novel approaches are discussed in applications to direct brain-robot and brain-virtual-reality-agent control interfaces using tactile and auditory BCI technologies. The BCI user intentions are decoded from the brainwaves in realtime using a non-invasive electroencephalography (EEG) and they are translated to a symbiotic robot or virtual reality agent thought-based only control...
2016: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/27999282/secure-distributed-detection-under-energy-constraint-in-iot-oriented-sensor-networks
#10
Guomei Zhang, Hao Sun
We study the secure distributed detection problems under energy constraint for IoT-oriented sensor networks. The conventional channel-aware encryption (CAE) is an efficient physical-layer secure distributed detection scheme in light of its energy efficiency, good scalability and robustness over diverse eavesdropping scenarios. However, in the CAE scheme, it remains an open problem of how to optimize the key thresholds for the estimated channel gain, which are used to determine the sensor's reporting action...
December 16, 2016: Sensors
https://www.readbyqxmd.com/read/27983654/performance-prediction-of-a-mongodb-based-traceability-system-in-smart-factory-supply-chains
#11
Yong-Shin Kang, Il-Ha Park, Sekyoung Youm
In the future, with the advent of the smart factory era, manufacturing and logistics processes will become more complex, and the complexity and criticality of traceability will further increase. This research aims at developing a performance assessment method to verify scalability when implementing traceability systems based on key technologies for smart factories, such as Internet of Things (IoT) and BigData. To this end, based on existing research, we analyzed traceability requirements and an event schema for storing traceability data in MongoDB, a document-based Not Only SQL (NoSQL) database...
December 14, 2016: Sensors
https://www.readbyqxmd.com/read/27941656/an-open-platform-for-seamless-sensor-support-in-healthcare-for-the-internet-of-things
#12
Jorge Miranda, Jorge Cabral, Stefan Rahr Wagner, Christian Fischer Pedersen, Blaise Ravelo, Mukhtiar Memon, Morten Mathiesen
Population aging and increasing pressure on health systems are two issues that demand solutions. Involving and empowering citizens as active managers of their health represents a desirable shift from the current culture mainly focused on treatment of disease, to one also focused on continuous health management and well-being. Current developments in technological areas such as the Internet of Things (IoT), lead to new technological solutions that can aid this shift in the healthcare sector. This study presents the design, development, implementation and evaluation of a platform called Common Recognition and Identification Platform (CRIP), a part of the CareStore project, which aims at supporting caregivers and citizens to manage health routines in a seamless way...
December 8, 2016: Sensors
https://www.readbyqxmd.com/read/27920270/think-like-a-hacker-insights-on-the-latest-attack-vectors-and-security-controls-for-medical-device-applications
#13
Mandeep Khera
Ready or not, the Internet of things (IoT) is here. No longer just a buzz term, it'll continue to grow at an unprecedented pace over the next few years expecting to reach over 25 billion connected devices by 2020. History shows us that most fast growth technology solutions focus on solving business problems first and security is an afterthought. Unfortunately, IoT is following the same trend. Most IoT devices, apps, and infrastructure were developed without security in mind and are likely going to become targets of hackers...
December 4, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27918437/managing-the-quality-of-experience-in-the-multimedia-internet-of-things-a-layered-based-approach
#14
Alessandro Floris, Luigi Atzori
This paper addresses the issue of evaluating the Quality of Experience (QoE) for Internet of Things (IoT) applications, with particular attention to the case where multimedia content is involved. A layered IoT architecture is firstly analyzed to understand which QoE influence factors have to be considered in relevant application scenarios. We then introduce the concept of Multimedia IoT (MIoT) and define a layered QoE model aimed at evaluating and combining the contributions of each influence factor to estimate the overall QoE in MIoT applications...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27918424/optimized-energy-harvesting-cluster-head-selection-and-channel-allocation-for-iots-in-smart-cities
#15
Saleem Aslam, Najam Ul Hasan, Ju Wook Jang, Kyung-Geun Lee
This paper highlights three critical aspects of the internet of things (IoTs), namely (1) energy efficiency, (2) energy balancing and (3) quality of service (QoS) and presents three novel schemes for addressing these aspects. For energy efficiency, a novel radio frequency (RF) energy-harvesting scheme is presented in which each IoT device is associated with the best possible RF source in order to maximize the overall energy that the IoT devices harvest. For energy balancing, the IoT devices in close proximity are clustered together and then an IoT device with the highest residual energy is selected as a cluster head (CH) on a rotational basis...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27916962/lightweight-sensor-authentication-scheme-for-energy-efficiency-in-ubiquitous-computing-environments
#16
Jaeseung Lee, Yunsick Sung, Jong Hyuk Park
The Internet of Things (IoT) is the intelligent technologies and services that mutually communicate information between humans and devices or between Internet-based devices. In IoT environments, various device information is collected from the user for intelligent technologies and services that control the devices. Recently, wireless sensor networks based on IoT environments are being used in sectors as diverse as medicine, the military, and commerce. Specifically, sensor techniques that collect relevant area data via mini-sensors after distributing smart dust in inaccessible areas like forests or military zones have been embraced as the future of information technology...
December 1, 2016: Sensors
https://www.readbyqxmd.com/read/27916929/a-framework-to-implement-iot-network-performance-modelling-techniques-for-network-solution-selection
#17
Declan T Delaney, Gregory M P O'Hare
No single network solution for Internet of Things (IoT) networks can provide the required level of Quality of Service (QoS) for all applications in all environments. This leads to an increasing number of solutions created to fit particular scenarios. Given the increasing number and complexity of solutions available, it becomes difficult for an application developer to choose the solution which is best suited for an application. This article introduces a framework which autonomously chooses the best solution for the application given the current deployed environment...
December 1, 2016: Sensors
https://www.readbyqxmd.com/read/27916841/market-model-for-resource-allocation-in-emerging-sensor-networks-with-reinforcement-learning
#18
Yue Zhang, Bin Song, Ying Zhang, Xiaojiang Du, Mohsen Guizani
Emerging sensor networks (ESNs) are an inevitable trend with the development of the Internet of Things (IoT), and intend to connect almost every intelligent device. Therefore, it is critical to study resource allocation in such an environment, due to the concern of efficiency, especially when resources are limited. By viewing ESNs as multi-agent environments, we model them with an agent-based modelling (ABM) method and deal with resource allocation problems with market models, after describing users' patterns...
November 29, 2016: Sensors
https://www.readbyqxmd.com/read/27886091/a-testbed-to-evaluate-the-fiware-based-iot-platform-in-the-domain-of-precision-agriculture
#19
Ramón Martínez, Juan Ángel Pastor, Bárbara Álvarez, Andrés Iborra
Wireless sensor networks (WSNs) represent one of the most promising technologies for precision farming. Over the next few years, a significant increase in the use of such systems on commercial farms is expected. WSNs present a number of problems, regarding scalability, interoperability, communications, connectivity with databases and data processing. Different Internet of Things middleware is appearing to overcome these challenges. This paper checks whether one of these middleware, FIWARE, is suitable for the development of agricultural applications...
November 23, 2016: Sensors
https://www.readbyqxmd.com/read/27886087/state-of-the-art-trends-and-future-of-bluetooth-low-energy-near-field-communication-and-visible-light-communication-in-the-development-of-smart-cities
#20
REVIEW
Gonzalo Cerruela García, Irene Luque Ruiz, Miguel Ángel Gómez-Nieto
The current social impact of new technologies has produced major changes in all areas of society, creating the concept of a smart city supported by an electronic infrastructure, telecommunications and information technology. This paper presents a review of Bluetooth Low Energy (BLE), Near Field Communication (NFC) and Visible Light Communication (VLC) and their use and influence within different areas of the development of the smart city. The document also presents a review of Big Data Solutions for the management of information and the extraction of knowledge in an environment where things are connected by an "Internet of Things" (IoT) network...
November 23, 2016: Sensors
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