Development of an IoT-Based Prosthetic Control System

2017 ◽  
Vol 29 (6) ◽  
pp. 1049-1056 ◽  
Author(s):  
Osamu Fukuda ◽  
Yuta Takahashi ◽  
Nan Bu ◽  
Hiroshi Okumura ◽  
Kohei Arai ◽  
...  

This paper attempts to develop a novel prosthetic control system based on an Internet of Things (IoT) paradigm. The proposed method is able to employ not only information from muscle activities of the user and status of a prosthetic hand but also a wide range of data obtained from objects and items in the environment. The sensor data can be static features, dynamic statuses, and even contextual information of the operation. Fusion of these sensor data composes a rich information foundation to support multi-DoF and dexterous prosthetic hands. It is expected that much more reliable reasoning and more autonomous control decision can be developed using an IoT-based control system. The proposed method is verified with a case study using objects with simple sensor units and a Myo armband for electromyographic (EMG) signals.

2017 ◽  
Vol 57 (7) ◽  
pp. 883-898 ◽  
Author(s):  
Huy Quan Vu ◽  
Gang Li ◽  
Rob Law ◽  
Yanchun Zhang

Approaches to traditional travel diary construction rely on tourist participation and manual recording; hence, they are not only time-consuming but also limited in the scale and the number of samples. Online social network platforms have been used as alternative data sources for capturing the movements and travel patterns of tourists at a large scale. However, they fail to provide detailed contextual information on tourist activities for further analysis. In this paper, we present a new approach to travel diary construction based on the venue check-in data available in mobile social media with rich information on locations, time, and activities. Our case study focuses on the inbound tourism in Hong Kong using a data set composed of 17,355 check-ins generated by 600 tourists. We demonstrate how the proposed travel diary can provide useful practical implications for applications in location management, transportation management, impact management, and tourist experience promotion among others.


2018 ◽  
Vol 7 (2) ◽  
pp. 8-13
Author(s):  
Ainnur Rahayu Pratiwi

The control system in the cigarette oven room at the Indokretek Factory is currently still manual by means that every 2 hours the oven room will be checked to get the appropriate results. In addition, the Indokretek Factory has a limit on working hours from 07.00-16.00 WIB, so that when it passes the working hour, no one controls the cigarette oven room. The telecontrolling system that is designed can be used for sensor readings, processing sensor data and sending it to firebase until it can be received by the user through the telecontrolling system application in the cigarette oven room so that it can be used for realtime monitoring of the oven room at any time. The system designed to transmit information in the form of temperature and humidity values ??with sensor accuracy with an average temperature value of 0.583% and a humidity of 0.79975%. The network quality test results show that operator B has the lowest delay value and the highest throughput value of 38.62 ms and 9.237869 Kbps, while operator C has the lowest packet loss value of 0.619% so that it includes network quality with very good quality according to standards TIPHON.


2015 ◽  
Vol 2015 (DPC) ◽  
pp. 000973-000994 ◽  
Author(s):  
James Meyer

In today's world, electronics need to be as small as possible. This is especially true for a wide range of electronics from UAV controllers, cellphones, to implantable medical devices. One approach to achieving small system size is the System in Package (SIP). This approach incorporates a complete system (processor, memory, etc) into one small package. On the SIP, packaged parts are replaced by dies directly mounted to the substrate via flip-chip or wire-bond technology. SIP allows the designer flexibility to create a small system with only functionality that is required. A designer can pick and choose what parts are needed for a design and is not limited to the functionality of a single signal chip. Since the first level part packaging is eliminated, the overall board size decreased leading to an overall reduction in area and weight. Not only is there a reduction in size of each packaged part, but routing area is also reduced. The line widths and spacings can be reduced along with via size. The system used in the case study is a typical system with a FPGA, flash memory, DDR3 memory, ADC, DAC, voltage monitors, power supply monitor and control. The design is a complete system capable of processing analog sensor data, recording the data in external memory and controlling analog outputs. Such a system can be used for data collection, vehicle control, data processing, etc. In terms of signal integrity, the SIP offers many advantages over a traditional PWB. Given the small nature of overall package generally means shorter routes. A shorter route has the advantage of a reduced propagation delay. Also, a shorter trace will have a lower insertion loss and improved return loss. Many parts require data busses signals to match in length. This is very important for DDR3 memory. A mismatch in trace length will cause skew between the data signals and the data strobe. On a smaller board, there is an overall improvement for matching signal traces. Power distribution is another area of improvement for the SIP. A smaller board size means the board resonances will be shifted higher in frequency, alleviating possible power rail noise issues. Overall, the power planes are less lossy. Also, decoupling capacitors will be placed closer to the active components reducing the inductive path from the active device and the capacitor. This will allow decoupling for parts switching at fast rates. Given the shorter distances between transceivers within the system, the drive strength can be reduced. Decreased drive strength will reduce the amount of power dissipated by the transceiver. This presentation details a case study for a system in package design. A comparison will be made between the system laid out on a traditional printed wiring board (PWB) and the same system laid out on a substrate (SIP). Comparisons of the area, weight, route-ability and signal integrity will be made.


2013 ◽  
Vol 16 (1) ◽  
pp. 59-67

<p>The Soil Science Institute of Thessaloniki produces new digitized Soil Maps that provide a useful electronic database for the spatial representation of the soil variation within a region, based on in situ soil sampling, laboratory analyses, GIS techniques and plant nutrition mathematical models, coupled with the local land cadastre. The novelty of these studies is that local agronomists have immediate access to a wide range of soil information by clicking on a field parcel shown in this digital interface and, therefore, can suggest an appropriate treatment (e.g. liming, manure incorporation, desalination, application of proper type and quantity of fertilizer) depending on the field conditions and cultivated crops. A specific case study is presented in the current work with regards to the construction of the digitized Soil Map of the regional unit of Kastoria. The potential of this map can easily be realized by the fact that the mapping of the physicochemical properties of the soils in this region provided delineation zones for differential fertilization management. An experiment was also conducted using remote sensing techniques for the enhancement of the fertilization advisory software database, which is a component of the digitized map, and the optimization of nitrogen management in agricultural areas.</p>


Oxford Studies in Ancient Philosophy provides, twice each year, a collection of the best current work in the field of ancient philosophy. Each volume features original essays that contribute to an understanding of a wide range of themes and problems in all periods of ancient Greek and Roman philosophy, from the beginnings to the threshold of the Middle Ages. From its first volume in 1983, OSAP has been a highly influential venue for work in the field, and has often featured essays of substantial length as well as critical essays on books of distinctive importance. Volume LV contains: a methodological examination on how the evidence for Presocratic thought is shaped through its reception by later thinkers, using discussions of a world soul as a case study; an article on Plato’s conception of flux and the way in which sensible particulars maintain a kind of continuity while undergoing constant change; a discussion of J. L. Austin’s unpublished lecture notes on Aristotle’s Nicomachean Ethics and his treatment of loss of control (akrasia); an article on the Stoics’ theory of time and in particular Chrysippus’ conception of the present and of events; and two articles on Plotinus, one that identifies a distinct argument to show that there is a single, ultimate metaphysical principle; and a review essay discussing E. K. Emilsson’s recent book, Plotinus.


2021 ◽  
Vol 13 (8) ◽  
pp. 4211
Author(s):  
Maciej Kozłowski ◽  
Andrzej Czerepicki ◽  
Piotr Jaskowski ◽  
Kamil Aniszewski

Urban traffic can be curbed in various ways, for instance, by introducing paid unguarded parking zones (PUPZ). The operational functionality of this system depends on whether or not the various system features used to document parking cases function properly, including those which enable positioning of vehicles parked in the PUPZ, recognition of plate numbers, event time recording, and the correct anonymisation of persons and other vehicles. The most fundamental problem of this system is its reliability, understood as the conformity of control results with the actual state of matters. This characteristic can be studied empirically, and this article addresses the methodology proposed for such an examination, discussed against a case study. The authors have analysed the statistical dependence of the e-control system’s measurement errors based on operational data. The results of this analysis confirm the rationale behind the deployment of the e-control system under the implementation of the smart city concept in Warsaw.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Martin Pullinger ◽  
Jonathan Kilgour ◽  
Nigel Goddard ◽  
Niklas Berliner ◽  
Lynda Webb ◽  
...  

AbstractThe IDEAL household energy dataset described here comprises electricity, gas and contextual data from 255 UK homes over a 23-month period ending in June 2018, with a mean participation duration of 286 days. Sensors gathered 1-second electricity data, pulse-level gas data, 12-second temperature, humidity and light data for each room, and 12-second temperature data from boiler pipes for central heating and hot water. 39 homes also included plug-level monitoring of selected electrical appliances, real-power measurement of mains electricity and key sub-circuits, and more detailed temperature monitoring of gas- and heat-using equipment, including radiators and taps. Survey data included occupant demographics, values, attitudes and self-reported energy awareness, household income, energy tariffs, and building, room and appliance characteristics. Linked secondary data comprises weather and level of urbanisation. The data is provided in comma-separated format with a custom-built API to facilitate usage, and has been cleaned and documented. The data has a wide range of applications, including investigating energy demand patterns and drivers, modelling building performance, and undertaking Non-Intrusive Load Monitoring research.


Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1377
Author(s):  
Musaab I. Magzoub ◽  
Raj Kiran ◽  
Saeed Salehi ◽  
Ibnelwaleed A. Hussein ◽  
Mustafa S. Nasser

The traditional way to mitigate loss circulation in drilling operations is to use preventative and curative materials. However, it is difficult to quantify the amount of materials from every possible combination to produce customized rheological properties. In this study, machine learning (ML) is used to develop a framework to identify material composition for loss circulation applications based on the desired rheological characteristics. The relation between the rheological properties and the mud components for polyacrylamide/polyethyleneimine (PAM/PEI)-based mud is assessed experimentally. Four different ML algorithms were implemented to model the rheological data for various mud components at different concentrations and testing conditions. These four algorithms include (a) k-Nearest Neighbor, (b) Random Forest, (c) Gradient Boosting, and (d) AdaBoosting. The Gradient Boosting model showed the highest accuracy (91 and 74% for plastic and apparent viscosity, respectively), which can be further used for hydraulic calculations. Overall, the experimental study presented in this paper, together with the proposed ML-based framework, adds valuable information to the design of PAM/PEI-based mud. The ML models allowed a wide range of rheology assessments for various drilling fluid formulations with a mean accuracy of up to 91%. The case study has shown that with the appropriate combination of materials, reasonable rheological properties could be achieved to prevent loss circulation by managing the equivalent circulating density (ECD).


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 405
Author(s):  
Marcos Lupión ◽  
Javier Medina-Quero ◽  
Juan F. Sanjuan ◽  
Pilar M. Ortigosa

Activity Recognition (AR) is an active research topic focused on detecting human actions and behaviours in smart environments. In this work, we present the on-line activity recognition platform DOLARS (Distributed On-line Activity Recognition System) where data from heterogeneous sensors are evaluated in real time, including binary, wearable and location sensors. Different descriptors and metrics from the heterogeneous sensor data are integrated in a common feature vector whose extraction is developed by a sliding window approach under real-time conditions. DOLARS provides a distributed architecture where: (i) stages for processing data in AR are deployed in distributed nodes, (ii) temporal cache modules compute metrics which aggregate sensor data for computing feature vectors in an efficient way; (iii) publish-subscribe models are integrated both to spread data from sensors and orchestrate the nodes (communication and replication) for computing AR and (iv) machine learning algorithms are used to classify and recognize the activities. A successful case study of daily activities recognition developed in the Smart Lab of The University of Almería (UAL) is presented in this paper. Results present an encouraging performance in recognition of sequences of activities and show the need for distributed architectures to achieve real time recognition.


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