Сomputer system for alerting indoor microclimate critical values

2021 ◽  
Vol 3 (1) ◽  
pp. 89-98
Author(s):  
Y Paramud ◽  
A Yanchynskyi
Keyword(s):  
Computer System ◽  
Critical Values ◽  
Sensor Data ◽  
Low Power Consumption ◽  
Cyberphysical Systems ◽  
Alert System ◽  
Operation Algorithm ◽  
Functional Software ◽  
Main Components ◽  
Element Base

An alert system has been studied, in which sensor data can be collected and analyzed for further processing and action. Notifications are generated when data is compared against certain criteria. The ESP8266 microcontroller has been chosen as the basic device for implementing such a system, as this Espressif controller is a highly integrated Wi-Fi SoC solution that meets the demands of the cyberphysical systems industry in low power consumption, compactness and reliability. This solution is one of the most effective for the alert system. On the basis of this microcontroller the technical means of the computer system and the functional software for realization of functions of monitoring and the notification of critical values of a microclimate indoors are designed. The architecture of the computer system is studied. The choice of the main components of the hardware part of the system is substantiated, the element base is considered. A detailed scheme of the software operation algorithm is offered, as well as the results of the developed computer system for alerting the critical values of the indoor microclimate are demonstrated.

scholarly journals Computer System for Converting Gestures to Text and Audio Messages

2021 ◽  
Vol 6 (2) ◽  
pp. 90-97
Author(s):  
Dmytro Borovets ◽  
◽  
Tetyana Pavych ◽  
Yaroslav Paramud
Keyword(s):  
Computer System ◽  
Computing Platform ◽  
Advantages And Disadvantages ◽  
New Information ◽  
Improved Performance ◽  
Conducting Research ◽  
Main Components ◽  
Hardware Costs ◽  
Physical Features ◽  
Element Base

Today, there are quite a large number of deaf- mute and hard-of-hearing people which communicate using gestures. Therefore, it is simply necessary to provide them with modern means of communication with the surrounding world. This paper creates a holistic computer system architecture for converting gestures into text and audio messages. The principles of construction and basic design solutions of a computer system based on a modern element base with increased productivity and minimization of hardware costs and energy consumption have been developed. The most popular existing solutions for gesture recognition are considered and analyzed. The operation of the main components has been described, the principle of functioning of the entire system has been analyzed, and their advantages and disadvantages have been compared. The latest structural components for building a computer system (both physical and software) have been selected and investigated. Physical features include: the state-of-the-art Arduino Nano computing platform, the HC-05 Bluetooth module, the ADXL335 accelerometer, and the latest ZD10-100 Information sensor (flexibility sensor). Software features include: firmware for the Arduino Nano hardware platform, Python-based software for splitting the flow of letters into words, displaying them, and voicing them. The methods of Google Media Translation API and Google Text-to-speech (gTTS) have been analyzed. The expediency of conducting research has improved performance through the use of a new information sensor, which is a flexibility sensor ZD10-100 500 g. The general structural scheme of all systems has been designed.

Based on FPGA Intelligent Physiological Parameters Acquisition

2013 ◽  
Vol 344 ◽  
pp. 107-110
Author(s):  
Shun Ren Hu ◽  
Ya Chen Gan ◽  
Ming Bao ◽  
Jing Wei Wang
Keyword(s):  
High Speed ◽  
Low Cost ◽  
Physiological Parameters ◽  
Sensor Data ◽  
Low Power Consumption ◽  
Physiological Signal ◽  
Pulse Sensor ◽  
Monitoring Applications ◽  
Field Programmable ◽  
Design Ideas

For the physiological signal monitoring applications, as a micro-controller based on field programmable gate array (FPGA) physiological parameters intelligent acquisition system is given, which has the advantages of low cost, high speed, low power consumption. FPGA is responsible for the completion of pulse sensor, the temperature sensor, acceleration sensor data acquisition and serial output and so on. Focuses on the design ideas and architecture of the various subsystems of the whole system, gives the internal FPGA circuit diagram of the entire system. The whole system is easy to implement and has a very good promotional value.

scholarly journals Ontology-driven approach for describing industrial socio-cyberphysical systems’ components

2018 ◽  
Vol 161 ◽  
pp. 03027 ◽  
Author(s):  
Nikolay Teslya ◽  
Igor Ryabchikov
Keyword(s):  
Internet Of Things ◽  
Business Processes ◽  
Raw Materials ◽  
Cyberphysical Systems ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Ontological Approach ◽  
Exchange Information ◽  
Upper Level ◽  
Main Components

Nowadays, the concept of the industrial Internet of things is considered by researchers as the basis of Industry 4.0. Its use is aimed at creating a single information space that allows to unite all the components of production, starting from the processed raw materials to the interaction with suppliers and users of completed goods. Such a union will allow to change the established business processes of production to increase the customization of end products for the consumer and to reduce the costs for its producers. Each of the components is described using a digital twin, showing their main characteristics, important for production. The heterogeneity of these characteristics for each of the production levels makes it very difficult to exchange information between them. To solve the problem of interaction between individual components this paper proposes to use the ontological approach to model the components of industrial socio-cyberphysical systems. The paper considers four scenarios of interaction in the industrial Internet of things, based on which the upper-level ontology is formed, which describes the main components of industrial socio-cyberphysical systems and the connections between them.

scholarly journals Predicting fire hazard areas using vegetation indexes, Case Study: Forests of Golestan province, Iran

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Akram Karimi ◽  
Sara Abdollahi ◽  
Kaveh Ostad-Ali-Askari ◽  
Saeid Eslamian ◽  
Vijay P. Singh
Keyword(s):  
Fire Hazard ◽  
Sensor Data ◽  
Alert System ◽  
Natural Fire ◽  
Vegetation Indexes ◽  
Golestan Province ◽  
Fire Area ◽  
Test Category ◽  
Percent Accuracy

Every year, hundreds of fires occur in the forests and rangelands across the world and damage thousands hectare of trees, shrubs, and plants which cause environmental and economic damages. This study aims to establish a real time forest fire alert system for better forest management and monitoring in Golestan province. In this study, in order to prepare fire hazard maps, the required layers were produced based on fire data in Golestan forests and MODIS sensor data. At first, the natural fire data was divided into two categories of training and test samples randomly. Then, the vegetation moisture stresses and greenness were considered using six indexes of NDVI, MSI, WDVI, OSAVI, GVMI and NDWI in natural fire area of training category on the day before fire occurrence and a long period of 15 years, and the risk threshold of the parameters was considered in addition to selecting the best spectral index of vegetation. Finally, the model output was validated for fire occurrences of the test category. The results showed the possibility of prediction of fire site before occurrence of fire with more than 80 percent accuracy.

scholarly journals TMATLAB – IS THE MATHEMATICAL COMPUTER SYSTEM FOR SCIENTIFIC RESEARCH AND TECHNICAL CALCULATIONS

2010 ◽  
Vol 9 (1) ◽  
Author(s):  
Svitlana I. Pochtoviuk
Keyword(s):  
Computer System ◽  
Educational System ◽  
Scientific Research ◽  
Informational Technology ◽  
Main Components ◽  
Higher Institutions

In the article the implementation of new informational technology into the educational system of higher institutions and the main components of the computer mathematics system are considered.

scholarly journals An Unsupervised Learning-Based Spatial Co-Location Detection System from Low-Power Consumption Sensor

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4773
Author(s):  
David Ishak Kosasih ◽  
ByungGook Lee ◽  
Hyotaek Lim ◽  
Mohammed Atiquzzaman
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Unsupervised Learning ◽  
Detection System ◽  
Geographic Location ◽  
Structural Similarity ◽  
Sensor Data ◽  
Low Power Consumption ◽  
Convolutional Autoencoder ◽  
Location Detection

Spatial co-location detection is the task of inferring the co-location of two or more objects in the geographic space. Mobile devices, especially a smartphone, are commonly employed to accomplish this task with the human object. Previous work focused on analyzing mobile GPS data to accomplish this task. While this approach may guarantee high accuracy from the perspective of the data, it is considered inefficient since knowing the object’s absolute geographic location is not required to accomplish this task. This work proposed the implementation of the unsupervised learning-based algorithm, namely convolutional autoencoder, to infer the co-location of people from a low-power consumption sensor data — magnetometer readings. The idea is that if the trained model can also reconstruct the other data with the structural similarity (SSIM) index being above 0.5, we can then conclude that the observed individuals were co-located. The evaluation of our system has indicated that the proposed approach could recognize the spatial co-location of people from magnetometer readings.

Computer system architecture for image and spectral processing

1987 ◽  
Vol 45 ◽  
pp. 92-95
Author(s):  
Peter Rez ◽  
D.J. Fathers
Keyword(s):  
Computer System ◽  
Data Storage ◽  
Digital Information ◽  
Spectral Processing ◽  
Good Definition ◽  
Imaging And Spectroscopy ◽  
Main Components ◽  
Definition Of ◽  
Electrical Connections

In this paper we shall discuss digital imaging and spectroscopy systems from the perspective of a system designer and we shall concentrate on those design choices that limit performance in microscopy and analysis applications. The hardware of a computer system can be broken down into three main components. These are the processor which performs arithmetic and logical operations, the memory for storing data and instructions and the peripherals for long term data storage (disks, tapes) and communication with the outside world. Linking these components is a data highway or bus for passing digital information from one section of the machine to another. A good definition of a bus is a set of interconnections with a defined procedure (protocol) for information transmission. In many small systems the bus is not only a set of electrical connections but is also an enclosure (a backplane) into which the different modules (processor, memory, peripheral controllers) are added.

ENTERPRISE MANAGEMENT IN THE CONDITIONS OF DIGITALIZATION OF THE ECONOMY

2021 ◽  
Vol 296 (4) ◽  
pp. 142-146
Author(s):  
OKSANA MYKOLIUK ◽  
Keyword(s):  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Digital Transformation ◽  
Enterprise Management ◽  
Cyberphysical Systems ◽  
Innovative Technologies ◽  
Digital Development ◽  
Information And Communication ◽  
Main Components ◽  
Effective Development

The article investigates the role of digital transformation processes and their impact on enterprise management. It is emphasized that the introduction of innovative technologies in the enterprise will open new opportunities for further effective development and implementation of positive changes. The need to optimize management processes in the enterprise by adapting them to the conditions of digitalization, which requires the use of qualitatively new approaches to digital transformation of economic entities. The essence and meaning of the term “digitalization” is revealed, the main goals and directions of digital development are defined. The importance of digitalization of the economy as an innovative dynamic process, which is based on the active introduction of innovations and information and communication technologies in the economic activity of enterprises, is substantiated. The main components of the digital economy (support infrastructure, e-business, e-commerce) are identified and their impact on innovative business development is studied. The classification of enterprises according to the level of digitalization is carried out and the necessity of their orientation in the direction of introduction of cyberphysical systems, the Internet of Things, big data, 3D-modeling and 3D-graphics into their own activity is substantiated. The state of digital transformation at domestic enterprises is analyzed, the ratio of the use of digital technologies in business activity is revealed. The main problems faced by enterprises on the way to the introduction of innovative technologies are identified. The presence of the necessary conditions for the implementation of the domestic digital breakthrough and technological transition of enterprises to a higher level has been determined. It is concluded that the digitalization of business is a condition for improving its competitive position in the market and the driving force of the country’s economy and its investment attractiveness.

scholarly journals Smart eNose Food Waste Management System

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shazmina Gull ◽  
Imran Sarwar Bajwa ◽  
Waheed Anwar ◽  
Rubina Rashid
Keyword(s):  
Machine Learning ◽  
Computer System ◽  
Food Item ◽  
Learning Algorithm ◽  
Sensor Data ◽  
Machine Learning Algorithm ◽  
Gas Emission ◽  
Food Items ◽  
Arduino Uno ◽  
Food Wastage

The modern age is an era of fast-growing technology, all thanks to the Internet of Things. The IoT becomes a prime factor of human life. As in this running world, no one cares about the wastage of food. However, this causes environment pollution as well as loss of many lives. A lot of researchers help in this era by introducing some great and beneficial projects. Our work is introducing a new approach by utilizing some low-cost sensors. In this work, Arduino UNO is used as a microcontroller. We use the eNose system that comprises MQ4 and MQ135 to detect gas emission from different food items, i.e., meat, rice, rice and meat, and bread. We collect our data from these food items. The MQ4 sensor detects the CH4 gas while the MQ135 sensor detects CO2 and NH3 in this system. We use a 5 kg strain gauge load cell sensor and HX711 A/D converter as a weight sensor to measure the weight of food being wasted. To ensure the accuracy and efficiency of our system, we first calibrate our sensors as per recommendations to run in the environment with the flow. We collect our data using cooked, uncooked, and rotten food items. To make this system a smart system, we use a machine learning algorithm to predict the food items on the basis of gas emission. The decision tree algorithm was used for training and testing purposes. We use 70 instances of each food item in the dataset. On the rule set, we implement this system working to measure the weight of food wastage and to predict the food item. The Arduino UNO board fetches the sensor data and sends it to the computer system for interpretation and analysis. Then, the machine learning algorithm works to predict the food item. At the end, we get our data of which food item is wasted in what amount in one day. We found 92.65% accuracy in our system. This system helps in reducing the amount of food wastage at home and restaurants as well by the daily report of food wastage in their computer system.

scholarly journals Inspection and control system for experiments in space robotics

2021 ◽  
Vol 2 (3) ◽  
pp. 4094-4104
Author(s):  
Glaydson Luiz B Lima ◽  
Osamu Saotome ◽  
Ijar M. Da Fonseca
Keyword(s):  
Data Processing ◽  
Computer System ◽  
Sensor Data ◽  
Robotic Arm ◽  
Space Robotics ◽  
Kinect Sensor ◽  
Space System ◽  
Position Detection ◽  
Dynamics And Control ◽  
And Control

The communication subsystem is one among the various subsystems of a telerobotic space system. It is responsible for coordinating the commands received from the teleoperator control subsystem to the robotic arm, for reading signals from the sensors, and for stating the communication of the telerobot  with the ground station. The telerobotic experiment under development by the ITA space robotics research group was developed with the purpose of investigating a robotic space system dynamics and control, including  the study of the  working and integration of all subsystems involved in the teleoperation control. The lab experiment consists of two identical units of robot manipulators, each of them mounted on its own floating air-supported  platform. The objective is to simulate computationally the operations of rendezvous and capture in the microgravity' orbital environment, emulated by the floating manipulators' dynamics. The closed circuit for this system involves the in time position detection, transmission and data processing by using a position-tracking (X, Y, and Z) computer system combined with a Kinect sensor (RGB-D). The computer system comprises two computers  capable of processing the positional images with greater accuracy. One of them receive and send the sensor data to a second computer which performs the data processing by proper algorithms in Matlab® and Simulink and sends commands to the robotic arm via WIFI (UDP protocol) network. The robot receives and executes the control signals moving the robotic arms whose position is again detected by the kinect sensor and informed back to the computer system, closing the  control mesh and allowing the safe capture of the target. This work deals with the communication subsystem of the space robot experiment and its ability to set an integrated and efficient communication satisfying the telerobot control requirements

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