scholarly journals Silicon dioxide based Nano sensor to measure glucose level in blood

2018 ◽  
Vol 7 (4) ◽  
pp. 2862-2866
Author(s):  
Kavitha Ganesan ◽  
K.Senthil Kumar
Keyword(s):  
Silicon Dioxide ◽  
Glucose Level ◽  
Mass Production ◽  
Response Probability ◽  
Monitoring And Control ◽  
Comparison Results ◽  
Diabetic Person ◽  
The Cost ◽  
And Control ◽  
Level Monitoring

Diabetes is a growing problem affecting many people in the world. Diabetes leads to various complications like lower limb amputations, blindness, cardiovascular disease etc. Diabetes has many complexity that is reduced by individual monitoring and control of glucose level. Glucose level monitoring occur with recent development in Nanotechnology. Nanotechnology develops nanosensors which measure glucose level. Nanosensors fabricated by silicon dioxide in mass production reduces the cost of the nanosensors. Nanosensors made of silicon dioxide read the blood samples of a person without diabetes and a diabetic person with the help of SIGVIEW and analyzed using MATLAB. Statistical analysis is made with comparison of spectrogram, magnitude response, probability distribution, time domain and the autocorrelation of normal blood signals and diabetic signals. Comparison results in separation of a normal and diabetic person with an excellent performance of nanosensors in mass production.

scholarly journals Multi-Blockchain-Based IoT Data Processing Techniques to Ensure the Integrity of IoT Data in AIoT Edge Computing Environments

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3515
Author(s):  
Sung-Ho Sim ◽  
Yoon-Su Jeong
Keyword(s):  
Low Cost ◽  
Third Party ◽  
Monitoring And Control ◽  
Constant Size ◽  
Computing Environments ◽  
Iot Devices ◽  
Cloud Servers ◽  
The Cost ◽  
Processing Techniques ◽  
And Control

As the development of IoT technologies has progressed rapidly recently, most IoT data are focused on monitoring and control to process IoT data, but the cost of collecting and linking various IoT data increases, requiring the ability to proactively integrate and analyze collected IoT data so that cloud servers (data centers) can process smartly. In this paper, we propose a blockchain-based IoT big data integrity verification technique to ensure the safety of the Third Party Auditor (TPA), which has a role in auditing the integrity of AIoT data. The proposed technique aims to minimize IoT information loss by multiple blockchain groupings of information and signature keys from IoT devices. The proposed technique allows IoT information to be effectively guaranteed the integrity of AIoT data by linking hash values designated as arbitrary, constant-size blocks with previous blocks in hierarchical chains. The proposed technique performs synchronization using location information between the central server and IoT devices to manage the cost of the integrity of IoT information at low cost. In order to easily control a large number of locations of IoT devices, we perform cross-distributed and blockchain linkage processing under constant rules to improve the load and throughput generated by IoT devices.

Система дистанційного моніторингу та керування кліматичними параметрами приміщень в процесі промислового виробництва

2020 ◽  
pp. 19-23
Author(s):  
Ігор Бережний ◽  
◽  
Адріан Наконечний ◽  
Keyword(s):  
Energy Efficiency ◽  
Comparative Analysis ◽  
Technological Process ◽  
Remote Monitoring ◽  
High Speed ◽  
Monitoring And Control ◽  
Remote Monitoring And Control ◽  
The Cost ◽  
And Control ◽  
Communication Lines

Based on the research and comparative analysis of existing systems, an algorithm for remote monitoring and control of the technological process using IoT technologies is proposed and developed. We consider a system with flexible algorithms, which combines different data protocols using Wi-Fi technology, which allows you to use this type of system in any industry safely with high speed, energy efficiency and without the cost of communication lines.

Application of a Neural Manufacturing Concept to Process Modeling, Monitoring and Control

1995 ◽  
Vol 387 ◽  
Author(s):  
Chi Yung Fu ◽  
Loren Petrich ◽  
Benjamin Law
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Process Modeling ◽  
Lawrence Livermore National Laboratory ◽  
National Laboratory ◽  
Monitoring And Control ◽  
Artificial Neural ◽  
The Cost ◽  
And Control ◽  
Capital Intensive

AbstractThe cost of a fabrication line, such as one in a semiconductor house, has increased dramatically over the years, and it is possibly already past the point that some new start-up company can have sufficient capital to build a new fabrication line. Such capital-intensive manufacturing needs better utilization of resources and management of equipment to maximize its productivity. In order to maximize the return from such a capital-intensive manufacturing line, we need to work on the following: 1) increasing the yield, 2) enhancing the flexibility of the fabrication line, 3) improving quality, and finally 4) minimizing the down time of the processing equipment. Because of the significant advances now made in the fields of artificial neural networks, fuzzy logic, machine learning and genetic algorithms, we advocate the use of these new tools in manufacturing. We term the applications to manufacturing of these and other such tools that mimic human intelligence neural manufacturing. This paper describes the effort at the Lawrence Livermore National Laboratory (LLNL) [1] to use artificial neural networks to address certain semiconductor process modeling, monitoring and control questions.

Research and Development of Monitoring and Control Platform in Active Magnetic Bearing

2017 ◽  
Author(s):  
Yan Xunshi ◽  
Zhou Yan ◽  
Zhao Jingjing ◽  
Sun Zhe ◽  
Shi Zhengang
Keyword(s):  
Magnetic Bearing ◽  
Active Magnetic Bearing ◽  
Data Sampling ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Display Module ◽  
Processing Module ◽  
Previous Design ◽  
The Cost ◽  
And Control

In order to cut cost and simplify redevelopment, the paper proposes a new design for monitoring and control system in active magnetic bearing. Data sampling and processing module is separated with data display module. Singlechip processor is used to sample data from the DSP controller, and processes the data into the needed form. A touch-screen only for display takes on the processed data to customers. The design makes the systems easy to develop and shrink the cost to one tenth of previous design.

Developments in Pipeline Instrumentation

1987 ◽  
Vol 20 (1) ◽  
pp. 7-17 ◽  
Author(s):  
R A Furness
Keyword(s):  
Large Scale ◽  
Future Trends ◽  
Monitoring And Control ◽  
The Past ◽  
Control Equipment ◽  
Pipeline Monitoring ◽  
The Many ◽  
The Cost ◽  
New Generation ◽  
And Control

Pipelines are an integral part of the world's economy and literally billions of pounds worth of fluids are moved each year in pipelines of varying lengths and diameters. As the cost of some of these fluids and the price of moving them has increased, so the need to measure the flows more accurately and control and operate the line more effectively has arisen. Instrumentation and control equipment has developed steadily in the past decade but not as fast as the computers and microprocessors that are now a part of most large scale pipeline systems. It is the interfacing of the new generation of digital and sometimes ‘intelligent’ instrumentation with smaller and more powerful computers that has led to a quiet but rapid revolution in pipeline monitoring and control. This paper looks at the more significant developments from the many that have appeared in the past few years and attempts to project future trends in the industry for the next decade.

scholarly journals Automatic control of industrial peak loads

2009 ◽  
Vol 22 (3) ◽  
pp. 329-339
Author(s):  
Marija Kacarska ◽  
Vesna Arnautovski-Toseva ◽  
Sanja Veleva
Keyword(s):  
Automatic Control ◽  
Transfer Functions ◽  
Peak Load ◽  
Electrical Energy ◽  
Load Shedding ◽  
Monitoring And Control ◽  
Industrial Plants ◽  
Industrial Energy ◽  
The Cost ◽  
And Control

Automatic control of equipment is anticipated to represent the next logical step in the progression from passive monitoring toward plant wide automation. Automatic transfer functions, load-shedding and load sequencing are expected to find increasing application. In this paper a device named Peak Load for monitoring and control of power consumption in industrial plants is presented. It is a PLC based maxigraph developed upon the analysis of efficient and optimized use of the electrical energy and is planned to be used by medium and big industrial energy consumers with purpose to decrease the cost of their production. .

Enabling Cross-technology Communication from LoRa to ZigBee via Payload Encoding in Sub-1 GHz Bands

2022 ◽  
Vol 18 (1) ◽  
pp. 1-26
Author(s):  
Junyang Shi ◽  
Di Mu ◽  
Mo Sha
Keyword(s):  
Low Power ◽  
Mesh Networks ◽  
Area Network ◽  
Monitoring And Control ◽  
Wide Area Network ◽  
Wireless Monitoring ◽  
Wireless Mesh ◽  
Communication Approach ◽  
The Cost ◽  
And Control

Low-power wireless mesh networks (LPWMNs) have been widely used in wireless monitoring and control applications. Although LPWMNs work satisfactorily most of the time thanks to decades of research, they are often complex, inelastic to change, and difficult to manage once the networks are deployed. Moreover, the deliveries of control commands, especially those carrying urgent information such as emergency alarms, suffer long delay, since the messages must go through the hop-by-hop transport. Recent studies show that adding low-power wide-area network radios such as LoRa onto the LPWMN devices (e.g., ZigBee) effectively overcomes the limitation. However, users have shown a marked reluctance to embrace the new heterogeneous communication approach because of the cost of hardware modification. In this article, we introduce LoRaBee, a novel LoRa to ZigBee cross-technology communication (CTC) approach, which leverages the energy emission in the Sub-1 GHz bands as the carrier to deliver information. Although LoRa and ZigBee adopt distinct modulation techniques, LoRaBee sends information from LoRa to ZigBee by putting specific bytes in the payload of legitimate LoRa packets. The bytes are selected such that the corresponding LoRa chirps can be recognized by the ZigBee devices through sampling the received signal strength. Experimental results show that our LoRaBee provides reliable CTC communication from LoRa to ZigBee with the throughput of up to 281.61 bps in the Sub-1 GHz bands.

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