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Nitin Asthana

Bio: Nitin Asthana is an academic researcher from SRM University. The author has contributed to research in topics: Transfer of learning & Artificial intelligence. The author has an hindex of 1, co-authored 1 publications receiving 7 citations.

Papers
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Proceedings ArticleDOI
25 Apr 2019
TL;DR: The hardware is designed such that it shall send a prior alert to the sewage worker to ensure their safety, if damaging gaseous constituents increase in concentration over time, and serves a social cause as well.
Abstract: This project aims at providing smart solutions to monitor poisonous sewage gases and works on a system of live sewage level detection and monitoring. Whenever, a certain threshold is crossed, an alert is sent to the observer who is examining the conditions from a remote location. The information is then forwarded along with different gas ppm values indicating whether it is safe for the worker to clean or work in that environment or not. The remotely placed IoT monitoring equipment and IoT platform are integrated to create proposed system. This requires calibration of gas sensors for industrial purposes and determining the correct threshold levels for septic plants and facilities. The hardware is designed such that it shall send a prior alert to the sewage worker to ensure their safety, if damaging gaseous constituents increase in concentration over time. Various types of sensors are utilized to monitor parameters present in sewage like gas, temperature etc. When the threshold value is lesser than the sensed values, this system alerts the sewage worker/cleaner by sending SMS and call alerts by analyzing concentrations of different toxic gases and graphing out their results for real-time monitoring thereby aiding in protection from hazardous diseases and hence serves a social cause as well. In the proposed system, sample values for sensors have been recorded and plotted on ThingSpeak analysis tool. Carbon monoxide and methane sensors charted values up-to 2.3 and 60 ppm respectively, and this breached threshold and GSM module was utilized for sending alert to mobile number fed in the code.

22 citations

Journal ArticleDOI
TL;DR: In this article , a quantum machine learning model was proposed to classify images using a quantum classifier, which uses hybrid transfer learning technique along with the classical pre-trained network and variational quantum circuits as their final layers on a small scale of dataset.
Abstract: Quantum machine learning, an important element of quantum computing, recently has gained research attention around the world. In this paper, we have proposed a quantum machine learning model to classify images using a quantum classifier. We exhibit the results of a comprehensive quantum classifier with transfer learning applied to image datasets in particular. The work uses hybrid transfer learning technique along with the classical pre-trained network and variational quantum circuits as their final layers on a small scale of dataset. The implementation is carried out in a quantum processor of a chosen set of highly informative functions using PennyLane a cross-platform software package for using quantum computers to evaluate the high-resolution image classifier. The performance of the model proved to be more accurate than its counterpart and outperforms all other existing classical models in terms of time and competence.

Cited by
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Journal ArticleDOI
TL;DR: In this article, the authors introduced an application case based on IOT sensor control and supporting maintenance business, and introduced a method of bringing the IOT into the membrane bioreactor (MBR) system of industrial wastewater treatment which can continuously and accurately monitoring the nodes of the system.
Abstract: Anoxic–oxic process is also called anaerobic aerobic process and used widely with the membrane bioreactor (MBR) for wastewater treatment, particularly in China, thanks for their high efficiency, good-quality permeate and easy operation. However, because the content of the feed wastewater fluctuates in a large range and the operation condition of the system needs to be controlled accurately, it is very important to find an efficient way to constantly monitor the nodes of the system, and adjust the operation parameters, including the quantities used in the chemical treatment. Therefore, it is necessary to use Internet of things technology (IOT) sensing and control equipment to realize the dynamic monitoring of sewage treatment process parameters, so as to serve the drug delivery and equipment online control. This study introduces an application case based on IOT sensor control and supporting maintenance business. Through the practical application of this technology in an environmental protection sewage treatment enterprise in Wuxi, this study introduces a method of bringing the IOT into the MBR system of industrial wastewater treatment which can continuously and accurately monitoring the nodes of the system. Based on this study, an analysis and decision-making system based on real-time monitoring data can be realized to adjust operation parameters in time. In this method, the IOT is introduced into the MBR system of industrial wastewater treatment. The results show that with the support of IOT, the sewage treatment system runs stably and the treatment efficiency is significantly improved.

12 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a systematic mapping study of the literature to address the impact of IoT on occupational well-being, analyzing the progress of Industry 4.0 during the last decade.

12 citations

Journal ArticleDOI
TL;DR: The remote monitoring function of the industrial interconnection of the intelligent high-speed loom is realized and the visual interface can achieve a better human–computer interaction effect, which can meet the needs of the industry for the intelligent remote monitoring system of the high- speed loom.
Abstract: In this paper, the design of the remote monitoring system for the industrial interconnection of the intelligent high-speed loom is carried out from the hardware system and the software system. The overall design scheme of the system is as follows. The transmission control protocol/internet protocol communication protocol based on the socket programming interface is used for data transmission between the local executor and the cloud server. The browser/server architecture is selected for data communication between the web server and remote client. The data interaction between the web server and the remote client is realized by Ajax (Asynchronous JavaScript and XML). Finally, the remote monitoring function of the industrial interconnection of the intelligent high-speed loom is realized. The effective communication distance of the hardware circuit control board of the intelligent high-speed loom monitoring system is 150 m, which meets the needs of the industrial field. The client-side of the system can be compatible with different browsers and can monitor the running state of high-speed loom in real-time. Once the loom breaks down, the system can judge the cause of the failure through algorithm analysis, and the visual interface can achieve a better human–computer interaction effect, which can meet the needs of the industry for the intelligent remote monitoring system of the high-speed loom. The effective communication distance of the hardware circuit control board of the intelligent high-speed loom monitoring system is 150 m, which meets the needs of the industrial field.

6 citations

Journal ArticleDOI
27 Mar 2022-Sensors
TL;DR: A review of the current state of the art in the field of gas-sensing measurement can be found in this paper , where the authors provide overall conclusions of how the different set-ups impact the obtained results.
Abstract: Measurements of the properties of gas-sensitive materials are a subject of constant research, including continuous developments and improvements of measurement methods and, consequently, measurement set-ups. Preparation of the test set-up is a key aspect of research, and it has a significant impact on the tested sensor. This paper aims to review the current state of the art in the field of gas-sensing measurement and provide overall conclusions of how the different set-ups impact the obtained results.

5 citations