Books/Book Chapters/Edited Books

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Subject: search.filters.subject.Electronics & Communication Engineering

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    Hybrid Energy Storage Systems for Renewable Energy Integration and Application
    (IGI Global, 2023) Tarana A Chandel; ;
    Energy storage has an important role in integration and application of upcoming micro and smart grid network. The various environmental issues are directly related to energy generations. With the growing environmental affects, engineers, entrepreneurs, and policymakers are transforming towards energy storage solution. Hybrid energy systems carry distinct generation technology along with storage on a single system, upgrading all the benefits in contrast to a system that is dependent on a single source. The storage of energy is necessary to fulfil the demand of the consumers, thus enhancing the storage technology at distribution section of power supply. This chapter also throws deep light on different types of storage systems and their hopeful market areas. The study also aims to identifying the technical challenges facing the formation of storage systems globally. It also focuses on typical HESS-utility, energy storage integral designing, concept of energy management system and an ideal proposal for the power flow based on maximal clipping.
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    Analysis of various image processing approaches in detecting and predicting lung cancer
    (Routledge, 2023) Mohd. Munazzer Ansari; Shailendra Kumar; ; ; ;
    Image processing is one of the centre area that utilised in different domains. It is utilised to categorise cancer influenced areas in lung image. Early discovery of lung cancer can build the opportunity of endurance among people. Recognisable proof of cancer influenced areas in lung is basically started with image processing techniques. The techniques are followed by pre-processing having image enhancement along with noise removal using filtering techniques then Image segmentation with feature extraction. Finally, Classification of lung cancer and performance comparison of chronological data of lung cancer. Typically, Digital Image Processing follows numerous strategies to join various shapes in an image into a solitary unit. Despite the fact that Computed Tomography (CT) can be more proficient than X-ray. For detecting and predicting lung cancer, digital image processing techniques can be very much useful for radiologists. In this study, here MATLAB software is used and we discussed about an efficient study on performance analysis techniques in lung cancer detection and prediction by using different image processing methodologies.
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    Simulation study of small signal common source amplifier using series and parallel networks of like fetes through PSPICE
    (Routledge, 2023) Ghouse Mohiuddin K; Monauwer Alam; Naimur Rahman Kidwai; Satyendra Nath Tiwari; ;
    Common Source FET amplifiers are one of the popular amplifiers used in smallsignal amplification of analogue electronics circuits. Study of common source FET amplifier circuit with modifying the various components possibly produce useful results which will be used in enhancing the circuit designs based on applications needs. Frequency response, voltage gain, input impendence, power dissipation of RC coupled FET common source amplifier are studied by using network of FETs connected in series and parallel with PSpice simulation software
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    Statistical evaluation of e-learning through virtual lab for haemodialysis machine: Barriers and future scope
    (Routledge, 2023) Hassan,Usman; Bajpai, Shrish; Kidwai,Naimur Rahman; ; ;
    Due to the Covid-19 scenario across the world, the university education system for the student moved towards offline mode to online mode. The classes can run in online mode through the different meeting platforms but the lab cannot be conducted through the video. The virtual lab is a boon for the technical student as they can perform the experiment with internet-enabled devices (laptop or smartphone). The virtual lab can be operated at any time and students can perform the experiment multiple times without visiting the actual lab. For medical background students, many machines having the electronics components can be covered through the virtual labs. The medical instrument is very costly and it cannot be available in every institute the haemodialysis is among one of the electronics instruments which need to be studied by biomedical engineering, lab technicians and nursing undergraduate university students. In this paper, we conduct a short survey among the undergraduate students who worked with haemodialysis machine virtual lab and real haemodialysis machine. The result of the survey is very encouraging and most students are comfortable with the haemodialysis virtual lab.
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    An Approach to Assess the Impact of Rapid Urbanization on Land Surface Temperature Using Sentinel-2 and Landsat-8 Images
    (Springer Singapore, 2023) Saurabh Srivastava , Tasneem Ahmed
    Sentinel-2 and Landsat-8 satellite images are effective ways for the Earth's surface monitoring, and their images are readily accessible for interpretation and analysis of land surface monitoring. Satellite images are frequently used in land surface monitoring applications such as urban planning, vegetation monitoring, and territorial planning administrations. The advent of satellite images has created a viable framework for tracking land changes in cities. Urban heat is thought to be the cause of higher temperature values in urban areas when compared to their surroundings. The link between the land surface and the atmosphere is influenced by land surface temperature (LST), which is an essential parameter in many scientific fields. Sentinel-2 and Landsat-8 images of Lucknow city taken over the summer months from 2017 to 2021 are used in this study to determine the correlation between urban areas and LST to assess the impact of rapid urbanization on land surface temperature rise. Urban area monitoring will be useful for policymakers in the future for planned urbanization and managing resources to develop sustainable and smart cities.
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    2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)
    (IEEE, 2022) Chandra, Harshit; Bajpai, Shrish
    Hyperspectral (HS) image has rich spectral information content, which facilitates multiple applications including remote sensing. Due to the big data size of the HS image, compression is a required process for the efficiency of image storage and transmission. However, the complexity of the compression algorithms turns real-time compression into a very challenging task. A novel listless set partitioned hyperspectral image compression algorithm is proposed. The proposed compression algorithm uses zero block cube tree structure to exploit the inter and intra sub-band correlation to achieve the compression. From the result, it has been clear that the proposed compression algorithm has low coding complexity with at-par coding efficiency. Thus, it can be a suitable contender for low-resource hyperspectral image sensors.
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    2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)
    (IEEE, 2023) Chandra, Harshit; Bajpai, Shrish
    Computational complexity with the coding efficiency of any hyperspectral image sensor is a challenging issue. 3D-SPIHT has reasonable complexity and generates an embedded bit-stream. Due to the linked lists, the processing of the compression through the 3D-SPIHT gets slow at the high bit rates. This manuscript presents a low-complexity version of 3D-SPIHT which uses the array structure instead of linked lists. These arrays are independent of each other. The coding memory required by the arrays is the same as the linked list used in 3D-SPIHT. Through the use of array, the coding complexity is reduced and coding efficiency is increased with the use of parity of the bit plane. Thus, the proposed compression scheme is an optimum solution for the resource-constraint hyperspectral image sensor.
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    2023 International Conference on IoT, Communication and Automation Technology (ICICAT)
    (2023) Ahmed, Hasnain Nabi; Khan, Abdul Rahman Asad; Bajpai, Shrish
    This paper proposes a novel and non-invasive approach for detecting the freshness of Hairtail fish using a compact microstrip patch antenna operating at 2.45 GHz. The antenna, with dimensions of 38.6 mm×47.6 mm×1.6 mm , was used to measure the resonant frequency and return loss of fresh and stale fish at different distances. The results indicate that the proposed method is reliable and effective for detecting the freshness of fish, which is important for reducing food waste and ensuring food safety. This method offers a practical solution for the seafood industry to monitor and maintain the quality of their products during transportation and storage.
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    2022 IEEE Bombay Section Signature Conference (IBSSC)
    (IEEE, 2022) Mohammad, Umar; Yasin, Mohd Yusuf; Tang, Fang
    Filter circuits from the very beginning have played a vital role in the broader areas of signal processing and communications systems. In the paper, a new paradigm of bilateral filtering has been presented. The scheme presents a new class of filters that have the ability to work on the either side of the device. The working of the presented circuits in this study commensurates to the working of the transceivers. The initial verification of the circuits was done using nodal analysis and then put for simulation verifications. The Active device used to realise the proposed circuits is the translinear circuit scheme of second generation current conveyor-CCCII. Basic filter signals like low-pass, high-pass, band-pass and band-stop responses were perceived and authenticate the theory proposed. The simulation work was done on Hspice tool using the 45nm PTM CMOS technology node. The detailed analysis of the proposed circuits is open for the readers in this study. The power consumption of the proposed circuits is in the range of 100−200μW with ± 1 V rail to rail voltages. The Proposed circuit is expected to get applicable as the major analog front-end circuit in numerous biomedical devices.
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    2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
    (IEEE, 2022) Ahmad, Qazi Saeed; Khan, Imran Ullah
    Multicarrier transmission is a difficult method for high velocity information transmission over a dispersive media. An Orthogonal Frequency Division Multiplexing (OFDM) plot stays a multicarrier balance as well as multiplexing plan which utilizes a comparative handling technique letting the synchronized transmission of information organized a few completely fanned out, orthogonal sub-transporters. One significant test in multicarrier transmission is PAPR. There are a few strategies and procedures for PAPR decrease. All techniques point significant decrease in PAPR. However, these techniques need to deal with the issue of misfortune in information rate, communicate signal influence increment, BER increment, process intricacy increment, etc. Thusly, there is no particular technique to diminish PAPR that has the best answer for all multicarrier information transmission frameworks. As opposed to the PAPR decrease method should be thoroughly picked in accordance with differed framework necessities.