scholarly journals DC ELECTRIC PUMP MODIFIED AS AN INTELLIGENT ACTUATOR

2019 ◽  
Vol 15 (28) ◽  
Author(s):  
Alex Esteban Barbosa Torres
Keyword(s):  
Low Cost ◽  
Signal Transmission ◽  
Industrial Sector ◽  
Open Architecture ◽  
Raspberry Pi ◽  
Electric Pump ◽  
Cost System ◽  
The Family ◽  
Made In

Introduction: This paper describes the research – developed in 2007 by ORCA and SciBas – that modifies an actuator device (AD) – DC electric pump – making it Smart.  Problem: There are currently no intelligent ADs of open architecture with the possibility of being easily manipulated in didactic plants. Objective: To identify and implement circuits to control an AD with signals. Methodology: The AD is developed following the family-standard IEEE 1452: implementing communication interfaces that characterize intelligent transducers connected to systems based on microprocessors, instruments and networks. The integration is made in a configuration platform that displays, records and manipulates AD information through a PC. Results: Obtaining a low-cost system based on Raspberry Pi - as an intelligent core - where the following are integrated: a PSOC 4 microcontroller to interact with the signals of the actuator, a circuit to manage the energy between the pump and the microcontroller, and an integrated signal that goes to a processor Originality: Modify a DC electric pump -as part of a didactic plant system- to have an intelligent AD architecture. The checking of filling and flow rates indicate advantages over traditional instrumentation: noise immunity, effective isolation of circuits from sources, work sequences, effective storage of actuator information, simple calibration, ease of signal transmission and remote control, and the possibility of intelligent presentations. Limitations: In non-didactic plants it is necessary to extend the research to the industrial sector and increase the quality of the elements.

scholarly journals Low Cost System for Laboratory-based Course in IT Education using Raspberry Pi

2020 ◽  
Author(s):  
Tae-Hoon Kim ◽  
Ricardo Calix ◽  
Dhruvkumar Patel
Keyword(s):  
Low Cost ◽  
Raspberry Pi ◽  
Cost System ◽  
It Education

scholarly journals Evaluation of Residents’ Satisfaction with Building Features in Some Public Housing Estates in Benin City, Nigeria

2019 ◽  
Vol 8 (2) ◽  
pp. 117-125
Author(s):  
Kingsley Okechukwu Dimuna ◽  
Abiodun Olukayode Olotuah
Keyword(s):  
Low Cost ◽  
Quality Standard ◽  
Housing Quality ◽  
Benin City ◽  
Neighbourhood Satisfaction ◽  
Level Of Satisfaction ◽  
Acceptable Quality ◽  
The Family ◽  
Housing Estates

Abstract Residential and neighbourhood satisfaction are important indicators of housing quality and conditions which affect individual’s quality of life. This study which was conducted in 2018 evaluated the level of satisfaction in terms building features in six completed and occupied housing estates in Benin city, namely the federal owned estate at Ikpoba hill, and state owned housing estates located at Ugbowo, Oregbeni, Oluku, Evboriaria and Iyekogba. Data were collected from 1000 heads of households and analysed using descriptive statistical tools, categorical regression and factor analyses. The findings showed that the building features significantly affect the level of resident’s satisfaction. The RSI scores for the relatively old estates; EDPA, Ikpoba hill and Oregbeni and are on the dissatisfied region (RSI: 1.1-2.00) while for the relatively newer ones; Andrew Wilson and Oluku, the RSI scores are on the satisfied level (RSI=. 3.1-4.00) with building features features. The study recommends that the design for future low cost housing should consider the family sizes of average Nigerian family, kitchen design that make use of cooking gas, kerosene and outdoor kitchen possible. The paper concludes that the buildings should maintain an acceptable quality standard in terms of functional spaces, structural stability and aesthetics as this will result to resident's housing satisfaction.

Wearable ECG Monitoring and Alerting System Associated With Smartphone

2018 ◽  
pp. 900-916
Author(s):  
Hyuma Watanabe ◽  
Masatoshi Kawarasaki ◽  
Akira Sato ◽  
Kentaro Yoshida
Keyword(s):  
Quality Of Life ◽  
Low Cost ◽  
Daily Activities ◽  
Ecg Monitoring ◽  
Radio Communication ◽  
Analysis Algorithm ◽  
Cost System ◽  
Alerting System ◽  
Clinical Experiment

Heart disease has the second high mortality rate behind cancer in Japan, and requires quick treatment. To take a part in emerging mHealth, the authors developed a wearable electrocardiographic (ECG) monitoring and alerting system “iHeart”. iHeart continuously monitors patient's ECG in his/her daily activities and issues an alert to the patient as well as surrounding people if it detects abnormal heart behaviour. iHeart consists of a wireless ECG sensor and a smartphone to achieve light-weighted, low-cost system that does not degrade the patient's Quality of Life. In parallel, the authors developed ECG analysis algorithm to detect R-wave as well as arrhythmia, and implemented these algorithms in wireless ECG sensor rather than in smartphone to save power consumption of ECG sensor caused by radio communication. The authors proof the practicality and usefulness of our system in clinical experiment. This paper describes the implementation of iHeart, evaluation experiment, and future requirements of the system.

scholarly journals Individualized tracking of self-directed motor learning in group-housed mice performing a skilled lever positioning task in the home cage

2018 ◽  
Vol 119 (1) ◽  
pp. 337-346 ◽  
Author(s):  
Gergely Silasi ◽  
Jamie D. Boyd ◽  
Federico Bolanos ◽  
Jeff M. LeDue ◽  
Stephen H. Scott ◽  
...  
Keyword(s):  
Motor Learning ◽  
Radio Frequency Identification ◽  
Home Cage ◽  
Low Cost ◽  
Motor Task ◽  
Training Group ◽  
Cortical Reorganization ◽  
Raspberry Pi ◽  
Internet Connection ◽  
Cost System

Skilled forelimb function in mice is traditionally studied through behavioral paradigms that require extensive training by investigators and are limited by the number of trials individual animals are able to perform within a supervised session. We developed a skilled lever positioning task that mice can perform within their home cage. The task requires mice to use their forelimb to precisely hold a lever mounted on a rotary encoder within a rewarded position to dispense a water reward. A Raspberry Pi microcomputer is used to record lever position during trials and to control task parameters, thus making this low-footprint apparatus ideal for use within animal housing facilities. Custom Python software automatically increments task difficulty by requiring a longer hold duration, or a more accurate hold position, to dispense a reward. The performance of individual animals within group-housed mice is tracked through radio-frequency identification implants, and data stored on the microcomputer may be accessed remotely through an active internet connection. Mice continuously engage in the task for over 2.5 mo and perform ~500 trials/24 h. Mice required ~15,000 trials to learn to hold the lever within a 10° range for 1.5 s and were able to further refine movement accuracy by limiting their error to a 5° range within each trial. These results demonstrate the feasibility of autonomously training group-housed mice on a forelimb motor task. This paradigm may be used in the future to assess functional recovery after injury or cortical reorganization induced by self-directed motor learning. NEW & NOTEWORTHY We developed a low-cost system for fully autonomous training of group-housed mice on a forelimb motor task. We demonstrate the feasibility of tracking both end-point, as well as kinematic performance of individual mice, with each performing thousands of trials over 2.5 mo. The task is run and controlled by a Raspberry Pi microcomputer, which allows for cages to be monitored remotely through an active internet connection.

scholarly journals Smart Bike System

2020 ◽  
pp. 312-317
Author(s):  
Suvarna Gaikwad ◽  
Parth Dode ◽  
Shubham Chhipa ◽  
Shubhangi Vaikole
Keyword(s):  
Operating System ◽  
Open Source ◽  
Operating Systems ◽  
Computer Technology ◽  
Current System ◽  
Raspberry Pi ◽  
The World ◽  
And Control ◽  
Made In

<p>Vehicles being the most widely used machines need to get smarter compared to their current technology. The necessity described by the younger generation of users, the millennials, for their devices to be smart and their vision to have more computerized and smarter applications of various sensors. The invention and development of better-computerized systems for infotainment and control of vehicles have taken speed and research is done mainly in an open-source on Linux kernel-based operating systems. The Smart Bike System is a Raspberry pi based operating system(AGL) for bikes tracks the various components of the bike like Speed, Quantity of fuel, Distance covered in a single trip, Temperature, Date and Time. We make a note that the current system of dashboards for representing the various aspects of a bike is old. A significant improvement would be made in the quality of the bike and the way people use it if the current computer technology of the world embraces the vehicular system. Automotive Grade Linux(AGL) is an (open source tech) operating system for automobiles which when installed on a computer in synchronization with the parts of a motor-bike has an ability to display more information in a more colorful and animated format like a computer desktop but specifically for automobiles.</p>

scholarly journals Development of Smart Vehicle Security and Entertainment System (SSES) using Raspberry Pi

2020 ◽  
Vol 9 (3) ◽  
pp. 4077-4083 ◽  
Keyword(s):  
Low Cost ◽  
Cost Effective ◽  
Security System ◽  
Local Network ◽  
Raspberry Pi ◽  
Main Concept ◽  
Embedded Devices ◽  
Vehicle Owner ◽  
Cost System ◽  
Vehicle Security

This paper deals with development of a Vehicle Security and Entertainment System, which is being used to monitor, track the vehicle, and to offer local entertainment system. The development system makes used of two embedded devices to split the entertainment system from the security system to ensure isolation and security. The security system is equipped with camera, distress signal switch and GPS/GPRS module to track, report a problem, and monitor the vehicle by sending data to a centralized database server where vehicle owner can access and retrieve these data to guarantee the safety of the passengers and the vehicle too. The second system is the entertainment system, where this system uses a powerful Intel atom embedded device and local network to allow users to connect and offer entertaining services. These services include, E-Book library and multimedia streaming. The main concept of research to develop a low cost system to secure and entertain passengers on vehicles like buses, train and even cars. The development is cost effective and as well as can be modified to add extra modules or to develop extra entertainment services. If the vehicle is stolen the system is able to send a distress signal to the owner or company. They can help the passengers by monitoring through the vehicle camera. In this research we have successfully developed and tested the system.

scholarly journals A New Seven-Segment Profile Algorithm for an Open Source Architecture in a Hybrid Electronic Platform

Electronics ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 652 ◽  
Author(s):  
José R. García-Martínez ◽  
Juvenal Rodríguez-Reséndiz ◽  
Edson E. Cruz-Miguel
Keyword(s):  
Velocity Profile ◽  
Open Source ◽  
Low Cost ◽  
High Stress ◽  
Rate Of Change ◽  
Open Architecture ◽  
Raspberry Pi ◽  
Field Programmable ◽  
Acceleration And Deceleration ◽  
S Curve

The velocity profiles are used in the design of trajectories in motion control systems. It is necessary to design smoother movements to avoid high stress in the motor. In this paper, the rate of change in acceleration value is used to develop an S-curve velocity profile which presents an acceleration and deceleration stage smoother than the trapezoidal velocity profile reducing the error at the end of the duty-cycle pre-established in one degree of freedom (DoF) application. Furthermore, a new methodology is developed to generate a seven-segment profile that works with negative velocity and displacement constraints applying an open source architecture in a hybrid electronic platform compounded by a system on a chip (SoC) Raspberry Pi 3 and a field programmable gate array (FPGA). The performance of the motion controller is measured through the comparison of the error obtained in real-time application with a trapezoidal velocity profile. As a result, a low-cost platform and an open architecture system are achieved.

scholarly journals Low-Cost Image Search System on Off-Line Situation

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 153 ◽  
Author(s):  
Mery Diana ◽  
Juntaro Chikama ◽  
Motoki Amagasaki ◽  
Masahiro Iida
Keyword(s):  
Low Cost ◽  
Model Performance ◽  
Cosine Similarity ◽  
Raspberry Pi ◽  
Image Search ◽  
Search Tasks ◽  
Cost System ◽  
Network Properties ◽  
General Average ◽  
Fully Connected

Implementation of deep learning in low-cost hardware, such as an edge device, is challenging. Reducing the complexity of the network is one of the solutions to reduce resource usage in the system, which is needed by low-cost system implementation. In this study, we use the general average pooling layer to replace the fully connected layers on the convolutional neural network (CNN) model, used in the previous study, to reduce the number of network properties without decreasing the model performance in developing image classification for image search tasks. We apply the cosine similarity to measure the characteristic similarity between the feature vector of image input and extracting feature vectors from testing images in the database. The result of the cosine similarity calculation will show the image as the result of the searching image task. In the implementation, we use Raspberry Pi 3 as a low-cost hardware and CIFAR-10 dataset for training and testing images. Base on the development and implementation, the accuracy of the model is 68%, and the system generates the result of the image search base on the characteristic similarity of the images.

scholarly journals Raspberry PI 3 RF signal generation system

2019 ◽  
Vol 13 (2) ◽  
pp. 294-299
Author(s):  
Juan Carlos Martínez-Quintero ◽  
Edith Paola Estupiñán-Cuesta ◽  
Víctor Daniel Rodríguez-Ortega
Keyword(s):  
Low Cost ◽  
Signal Generator ◽  
Raspberry Pi ◽  
Generation System ◽  
Rf Components ◽  
Harmonic Components ◽  
Teaching Learning ◽  
Generator Design ◽  
Rf Signal

Radio frequency signal generators (RF) are instruments used to test reception equipment and RF components like filters, amplifiers, attenuators, among others. On the other hand, they reinforce the teaching-learning processes and they are widely used in research in the telecommunications field. This document provides the first stage of a low-cost signal generator design by using RaspBerry Pi 3, with the documentary exploration about this kind of applications. After that, a recognition of the RaspBerry Pi 3 is done at hardware and software level. Finally, an application of an FM signal generator with RaspBerry in a frequency of 101.3 MHz is evaluated, which does not require any additional hardware. This signal was captured using a spectrum analyzer, which determined good quality of the modulated signal in terms of power, bandwidth and SNR (Signal Noise Ratio). However, there are some unwanted harmonic components

Relatives and Patients as Partners in the Management of Schizophrenia

1990 ◽  
Vol 156 (5) ◽  
pp. 654-660 ◽  
Author(s):  
Jo Smith ◽  
Max Birchwood
Keyword(s):  
Clinical Practice ◽  
Service Provision ◽  
Expressed Emotion ◽  
Family Management ◽  
Clinical Services ◽  
Clinical Context ◽  
The Family ◽  
Therapeutic Programme ◽  
Made In

Considerable advances have been made in the family management of schizophrenia but there remains a major challenge for the psychiatric services to integrate these innovations into clinical practice. A number of important issues need to be considered in developing routine clinical services: the problem of engaging families in a therapeutic programme; the utility of the concept of ‘expressed emotion’; and procedures for clinical practice. The latter include the needs of low-EE families; maintaining quality of intervention in a clinical context; responding to the multiplicity of needs of the patient and family; and integrating family interventions with ongoing rehabilitation practice. A model of service provision is described.

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