Measuring blood and platelet function is vital for the development and use of drugs that combat cardiovascular disease, such as anti-platelet drugs and other medicines that reduce the risk of ...thrombosis. We propose combining mass- produced microfluidic devices with open-source robotic instrumentation to enable development of affordable and portable, yet high-throughput and high- performance haematological testing. A time- and distance-resolved fluid flow analysis by Raspberry Pi imaging integrated with controlled sample addition and illumination, enables simultaneous tracking of capillary rise in 120 individual capillaries within 5 minutes. We showed that time-resolved microcapillary rise imaging permits blood function measurement by measuring thrombin-triggered activation of global haemostasis. Thrombin stimulation slowed vertical fluid velocity, consistent with a dynamic increase in viscosity. Microfluidic systems expand haematological testing towards high-efficiency, multi-parameter blood analysis necessary for understanding and improving cardiovascular health.
A healthy and regular diet is needed to maintain the body's immunity, the benefits that can be used for mothers and fetuses to help in the growth and development of the fetus in the mother's womb so ...that the eating patterns that are consumed must have good quality and nutrition, because good diet can be increase the development of the fetus while in the womb, so it is necessary to make an application with the aim of providing information on a dietary pattern of raspberry-based pregnant women using the telegram chatbot. In this study using the Software Development Life Cycle (SDLC) method where this method has a plan in the form of planning, analysis (analysis), design (design), implementation (implements) and management (maintenance). The results of this study use the telegram chatbot as a medium of information that can be delivered easily because the working principle of the chatbot on the telegram has a button feature that makes it easier for user friendly-based use so as to reduce the system error. Users will get results in the form of a PDF document (information on diet, nutritional content, and examples of foods that can be consumed) or images of good solutions and nutrition so that they can be downloaded easily through mobile phones with a minimum specification in the form of Android and Notebook and Personal Computer (PC).
Smart home applications are ubiquitous and have gained popularity due to the overwhelming use of Internet of Things (IoT)-based technology. The revolution in technologies has made homes more ...convenient, efficient, and even more secure. The need for advancement in smart home technology is necessary due to the scarcity of intelligent home applications that cater to several aspects of the home simultaneously, i.e., automation, security, safety, and reducing energy consumption using less bandwidth, computation, and cost. Our research work provides a solution to these problems by deploying a smart home automation system with the applications mentioned above over a resource-constrained Raspberry Pi (RPI) device. The RPI is used as a central controlling unit, which provides a cost-effective platform for interconnecting a variety of devices and various sensors in a home via the Internet. We propose a cost-effective integrated system for smart home based on IoT and Edge-Computing paradigm. The proposed system provides remote and automatic control to home appliances, ensuring security and safety. Additionally, the proposed solution uses the edge-computing paradigm to store sensitive data in a local cloud to preserve the customer’s privacy. Moreover, visual and scalar sensor-generated data are processed and held over edge device (RPI) to reduce bandwidth, computation, and storage cost. In the comparison with state-of-the-art solutions, the proposed system is 5% faster in detecting motion, and 5 ms and 4 ms in switching relay on and off, respectively. It is also 6% more efficient than the existing solutions with respect to energy consumption.
In this work, we integrated a Raspberry Pi (RPi) board, an open-sourced hardware, with a spectrometer, a high voltage DC power source, and a plasma system to develop a multi-tasking monitoring system ...for metallic elements in solution. In this system, RPi precisely controls voltage pulses, synchronizes them with the spectrometer, and performs real-time analysis using data acquired in real-time. This integration enables continuous monitoring of multiple metallic elements in solutions of varying conductivities. Synchronization of voltage pulses and spectrometer triggering is crucial for reliable measurements and prolongs the lifetime of the electrode. This multitasking capability significantly improves the quality of the overall spectroscopic data and enables operation in a long-term manner. Two operating modes are proposed, namely regular detection mode (RDM) and event-based mode (EBM). RDM is used to identify the existence of metallic elements and EBM is used for quantification upon detection. A 24-h long-term test shown in this work demonstrates the system capability in of utilizing RDM to monitor the presence of Pb and Mg every 30 min. Injection of Pb- and/or Mg-containing solutions is performed to activate EBM for quantification analysis. Instant warning messages can be sent upon metal detection showcasing the system potential for real-time monitoring and efficient quantification. We believe this work can contribute to multiple fields such as environmental monitoring, industrial quality control, or process monitoring.
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•Plasma spectroscopy for simultaneous multi-element analysis robust against interferences.•Using Raspberry Pi for the remote and long-term operation.•Active pulse selection to adapt various solution conditions.•Regular detection mode and event-based mode for improved operation flexibility.•Real-time monitoring of heavy metal can be performed with instant message alerts.
Synopsis: The Raspberry Pi-based system enables rapid, real-time, and long-term monitoring of metallic elements in water, aiding in environmental protection.
A microgrid (MG) is a cyber-physical system with coupled power and communication networks. The centralized secondary control of MGs with periodical communications restricts system efficiency and ...resilience. This article proposes a distributed event-triggered secondary control scheme in islanded MGs with its cyber-physical implementation. The proposed control scheme operates with the reduced frequency of communications depending on the MG states change "events" (e.g., load variations and communication failures). Besides, the secondary control objectives, including frequency/voltage regulation and accurate real/reactive power sharing, are decoupled into two timescales. Instead of designing event-triggering conditions (ETCs) for each secondary control functions, only ETCs for power sharing control in slower timescale are designed. Thus, the communication burden is significantly reduced since communications among neighbor controllers are only needed at the event-triggered time. The proposed controller has been tested on a hardware-in-the-loop (HIL) platform, where the physical system is modeled in the OPAL-RT and the cyber system is realized in Raspberry Pis. The control effectiveness is validated by the HIL results.
The Robotics and Automation industries are led in different divisions in everyday life. It is effectively used to satisfy the requirements of varying and enduring requirements. The task is intended ...to build up a mechanical vehicle utilizing the cell phone for remote activity, joined with camera and firearm. The robot alongside weapon is utilized to shoot consequently in a particular district by identifying the obscure picture of person and different questions through the assistance of camera with night vision capacities. This is somewhat robot is useful to Arm Forces for security framework.
With over a decade of intensive research and development, wireless sensor network technology has been emerging as a viable solution to many innovative applications. In this paper, we describe a ...wireless sensor network system that we have developed using open-source hardware platforms, Arduino and Raspberry Pi. The system is low-cost and highly scalable both in terms of the type of sensors and the number of sensor nodes, which makes it well suited for a wide variety of applications related to environmental monitoring. Overall system architecture and the design of hardware and software components are presented in details in this paper. Some sample deployment and measurement results are also presented to demonstrate the usefulness of the system.
•A fast and accurate image processing software is developed for real-time operation in single board computers.•A low-cost and portable vision-based real-time displacement system using Raspberry Pi is ...developed.•A new method is proposed to evaluate on-site measurement accuracy of the developed system in the field.•The accuracy and efficiency of the developed system are validated under controlled and uncontrolled conditions.
Vision-based real-time displacement measurement systems can measure the structural displacements without contact and output the results immediately, overcoming some drawbacks of traditional contact-type sensors and off-line vision sensors in field applications. However, high cost and complexity of installation restrict the widespread application of the off-the-shelf vision-based real-time displacement systems. In this work, a fast image processing software is developed for operation in single board computers (SBC), firstly, based which a low-cost and portable vision-based real-time displacement measurement system using Raspberry Pi is constructed for civil structural health monitoring. To evaluate the performance of the system in field applications, a new method for validation of on-site measurement accuracy is proposed. The experimental results show that the constructed system accurately measured multipoint structural displacements of a long-span suspension bridge in real-time, with at least 1/17 pixel accuracy, providing a cost-efficient, convenient, high-precision, and contactless approach to obtain the displacement responses of infrastructures in the field.
•This paper proposes a novel IoT sensing system for drive-by SHM.•The system architecture and design of the IoT sensing system are presented.•IoT sensing system design based on Raspberry Pi and 4G is ...presented.•The data collection and storage are designed and achieved on cloud.•Experimental validations are conducted to validate the accuracy of the IoT system.
Vehicles equipped with various types of sensors have the great potentials to effectively evaluate the health conditions of a population of bridges at a low cost. However, existing drive-by structural health monitoring (SHM) methods acquire vehicle vibration responses offline and export them to a computer for postprocessing. Furthermore, the vehicle trajectory information on the bridge is important for scaling up the drive-by SHM for in situ applications, which is not synchronously measured by existing systems. Therefore, a single-board computer-based IoT sensing system for continuous and real-time drive-by bridge health monitoring is developed in this study. The developed IoT sensing system integrates a triaxial microelectromechanical system (MEMS) accelerometer, temperature sensor, GPS and 4G module on Raspberry Pi 4 Model B. The sensor node can be mounted on a moving vehicle to collect the triaxial acceleration responses, temperature and GPS information. A graphical user interface (GUI) is developed based on the Python Tkinter package to remotely control the sensor node and visualise the collected data in real time. The fast Fourier transform of the measured acceleration responses is performed on the sensor node inboard processor. The raw data are sent to both the cloud server and remote terminal computer through a 4G module. The goal is to provide a low-cost, accurate and scalable sensing system for easy implementation of drive-by bridge health monitoring. The system architecture and workflow of the developed IoT sensing system are presented in detail. A series of experimental tests are conducted to validate the accuracy of the measured acceleration responses and feasibility of using the developed IoT sensing system for drive-by SHM applications.
Traditional manual visual grading of fruits has been one of the important challenges faced by the agricultural industry due to its laborious nature as well as inconsistency in inspection and ...classification process. Automated defects detection using computer vision and machine learning has become a promising area of research with a high and direct impact on the domain of visual inspection. In this study, we propose an efficient and effective machine vision system based on the state-of-the-art deep learning techniques and stacking ensemble methods to offer a non-destructive and cost-effective solution for automating the visual inspection of fruits’ freshness and appearance. We trained, tested and compared the performance of various deep learning models including ResNet, DenseNet, MobileNetV2, NASNet and EfficientNet to find the best model for the grading of fruits. The proposed system also provides a real time visual inspection using a low cost Raspberry Pi module with a camera and a touchscreen display for user interaction. The real time system efficiently segments multiple instances of the fruits from an image and then grades the individual objects (fruits) accurately. The system was trained and tested on two data sets (apples and bananas) and the average accuracy was found to be 99.2% and 98.6% using EfficientNet model for apples and bananas test sets, respectively. Additionally, a slight improvement in the recognition rate (0.03% for apples and 0.06% for bananas) was noted while applying the stacking ensemble deep learning methods. The performance of the developed system has been found higher than the existing methods applied to the same data sets previously. Further, during real-time testing on actual samples, the accuracy was found to be 96.7% for apples and 93.8% for bananas which indicates the efficacy of the developed system.
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