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Review on High-Speed Dynamic Comparators for Analog to Digital Converters J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-14 Komala Krishna, Nandakumar Nambath
This paper presents a comprehensive review of the state-of-art high-speed dynamic comparators. The comparator is a critical block of high-speed, low-power analog-to-digital converters, determining the speed and overall power consumption. Therefore, the design of a high-speed comparator with tolerable offset, noise and power consumption is of utmost importance. Recent work reported on high-speed comparator
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Dual-Notched UWB Orthogonal MIMO Antenna with Improved Gain Characteristics Using Frequency Selective Surfaces for Wireless Communication Applications J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-14 Yalavarthi Usha Devi, Boddapati Taraka Phani Madhav, Sudipta Das, Tanvir Islam, Mohammed El Ghzaoui
In this paper, a complementary split ring resonator (CSRR) loaded compact CPW-fed circular shaped monopole UWB antenna with dual band notch characteristics is designed on an FR-4 substrate. The propounded band-notched UWB antenna is integrated with two frequency selective surface layers referred as bandpass frequency selective surface (FSS-1) and reflector (FSS-2) to offer enhanced radiation performance
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A Proactive Self-Adaptation Approach Based on Ensemble Prediction for Service-Based Systems J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-14 Shenglong Xie, Lu Wang, Qingshan Li, Xiangtian Guo
Service-based systems (SBSs) are a unique category of software systems that dynamically combine various third-party services at runtime to deliver complex and adaptive functionality. This dynamic composition introduces a high level of unpredictability and uncertainty, creating potential anomalies and exerting significant pressure on system maintenance. To tackle this challenge, the conventional approach
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A Deep Neural Network-Fused Mathematical Modeling Approach for Reliable Flight Control of Small Unmanned Aerial Vehicles J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-14 Gang Xu, Weibin Su, Mingbo Pan, Yikai Wang, Zhengfang He, Jiarui Dong, Jiangzheng Zhao
In order to ensure the flight safety of small unmanned aerial vehicles (UAVs), a deep neural network-fused mathematical modeling approach is put up for reliable flight control of small UAVs. First, engine torque, thrust eccentricity and initial stop angle are taken into full consideration. A six-degree-of-freedom nonlinear model is formulated for small UAVs, concerning both ground taxiing and air flight
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Development of CPW Fed Slot Antenna with CSRR for Biomedical Applications J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-14 Koteswararao Seelam, S. V. Rama Rao, Srinivasa Rao Kandula, Abdul Hussain Sharief, Venkata Reddy Adama, S. Ashok Kumar
This paper presents a complementary split-ring resonator (CSRR) loaded coplanar waveguide (CPW) fed with a circular shape, miniaturized diamond slot planar monopole antenna. The proposed antenna for healthcare monitoring biomedical applications uses the industrial medical and scientific band. The antenna design and development to implant the human phantom are proposed. The primary goal of this work
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Impact of Variability on Novel Transistor Configurations in Adder Circuits at 7nm FinFET Technology J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-13 Umayia Mushtaq, Md. Waseem Akram, Dinesh Prasad, Aminul Islam, Bal Chand Nagar
This research work focuses on implementation of the FinFET-based complementary metal-oxide-semiconductor (CMOS) Full Adder circuits for different transistor configurations using ASAP7 FinFET model. First, this work examines FinFET-based AND-OR-invert (AOI) gates using different topologies, and second, a FinFET-based CMOS Full Adder circuit at the 7nm technology node is analyzed with respect to its
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A Radial Basis Function Neural Network-Based Fast Forecasting Model for Regional Economy J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-11 Tangfa Liu, Yan Li, Jianfeng Jiang
The computational intelligence-based digital forecasting for social systems has been a novel tendency. This work takes forecasting of regional economy as the problem scenario, and introduces radial basis function neural network (RBFNN) to deal with this concern. Hence, an RBFNN-based fast forecasting model for regional economy is constructed in this paper. First, the economic flow data are encoded
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Robust Object Detection Using Fire Hawks Optimizer with Deep Learning Model for Video Surveillance J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-11 S. Prabu, J. M. Gnanasekar
In recent years, video surveillance has become an integral part of computer vision research, addressing a variety of challenges in security, memory management and content extraction from video sequences. This paper introduces the Robust Object Detection using Fire Hawks Optimizer with Deep Learning (ROD-FHODL) technique, a novel approach designed specifically for video surveillance applications. Combining
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A Novel Lightweight NIDS Framework for Detecting Anomalous Data Traffic in Contemporary Networks J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-11 Yogendra Kumar, Vijay Kumar, Basant Subba
Network Intrusion Detection Systems (NIDSs) have been proposed in the literature as security tools for detecting anomalous and intrusive network data traffic. However, the existing NIDS frameworks are computation-intensive, thereby making them unsuitable for deployment in resource-constrained networks with limited computational capabilities. This paper aims to address this issue by proposing computationally
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Design, Simulation and Comparative Analysis of Two Stage Operational Amplifier Based on CNTFETs Using Indirect Feedback Frequency Compensation J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-09 Mir Bintul Islam, M. Nizamuddin, S. S. Islam
In the course of this study, an efficient implementation of a high gain and low power two-stage operational amplifier using indirect feedback frequency compensation based on CNTFETs. HSPICE software was used to develop and simulate CNTFETs. The op-amps were designed using 0.9V input supply voltage. The proposed structures were formed either using CNTFETs only known as pure CNTFET-IFFC-2SOA or hybrid
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Machine Learning Based Open Switch Fault Detection and Localization of Inverters J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-06 V. Rinsha, Vivek Kumar Sharma, Nithin Raj, G. Jagadanand
The location and detection of switch faults is a crucial step in improving the dependability of inverters, which is a requirement for critical applications. This paper focuses on a machine learning-based approach for the open-switch fault detection system for cascaded H-bridge (CHB) multilevel inverters (MLI) used in high- and medium-power applications. Each switch failure is taken into account in
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Digital Background Calibration Assisted with Noise-Shaping for a 10-b Bridged SAR ADC J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-05 Shuang Xie, Yong Wang
This paper presents a background calibration method assisted with noise-shaping, for a 10-b bridged SAR ADC. It proposes calibrating the mismatches from the MSB capacitors using the LSBs. First-order noise-shaping has been employed to facilitate the calibration as well as the analog-to-digital conversion. Since noise-shaping is able to shape both the comparator input and quantization noise, it is expected
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Non-Isolated High Gain Interleaved DC–DC Converter with Voltage Multiplier and Switched Capacitor for Renewable Energy Systems J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-05 R. Subbulakshmy, R. Palanisamy
A novel non-isolated high-gain DC–DC converter for green energy employment is presented and analyzed. The proposed converter comprises a switched capacitor cell, passive clamp circuit, coupled inductors, and voltage multiplier unit. An interleaved boost converter (IBC) is placed on the input side of the proposed design. The voltage multiplier unit (VMU) with the secondary windings of the coupled inductors
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Real-Time Early Warning Method of Distribution Transformer Load Considering Meteorological Factor Data J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-02 Shan Li, Wei Huang, Yangjun Zhou, Xin Lu, Zhiyang Yao
The traditional real-time load warning method for distribution transformers has problems such as low recall rate, low warning accuracy, and long warning time, which may lead to potential equipment failures or overload situations not being detected and dealt with in a timely manner, increasing the safety risk of transformer operation and potentially causing safety issues such as equipment damage, fire
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A Convolutional Neural Network Image Compression Algorithm for UAVs J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-03-02 Yongdong Dai, Jing Tan, Maofei Wang, Chengling Jiang, Mingjiang Li
In the task of power line inspection, Unmanned Aerial Vehicles (UAVs) are frequently used for capturing images. With the rapid advancement of sensor technology, the spatial, radiometric, and spectral resolutions of UAV images are constantly improving, leading to an increased storage requirement for individual images. Given that UAVs usually operate with limited computational resources, transmission
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Task Scheduling Optimization for UAV Electrical Image Fault Detection with Wireless Power Transfer J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-29 Renshu Wang, Wenbin Wu, Zhiwei Fu, Bojian Chen, Xiaojie Wu
The smooth operation of the power system is of significant importance for ensuring societal stability. Therefore, regular inspections of the power system are necessary. The most efficient method for power inspection is to utilize Unmanned Aerial Vehicles (UAVs) to assist inspection. However, the UAV inspection still needs human resources to operate and manage the UAVs effectively. This paper proposes
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Ensemble Model for Stock Price Forecasting: MapReduce Framework for Big Data Handling: An Optimal Trained Hybrid Model for Classification J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-29 R. Senthamil Selvi, V. Sankari, N. Ramya, M. Selvi
A number of authors have focused on this study to examine how huge data are perceived. A novel big data classification paradigm is introduced by the work’s preprocessing, feature extraction and classification techniques. Data normalization is carried out at the preprocessing stage. The MapReduce framework is then utilized to manage the massive data. Statistical features (mean, median, min/max and SD)
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A High-Gain Directional 1 × 8 Planar Antenna Array for 2.4GHz RFID Reader Applications J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-28 Abdelaaziz El Ansari, Sudipta Das, Tanvir Islam, Sivaji Asha, Najiba El Amrani El Idrissi, Boddapati Taraka Phani Madhav
This research paper deals with a directional high gain PCB 1×8 antenna array for 2.4ISM band utilizations. To achieve this antenna array, a well-matched equal-split 9dB-power splitter is designed and integrated with the suggested antenna array. It exhibits a wide operating range of 506MHz (2.022–2.528GHz) and splits the feed power to 8 equal-in-phase output quantities. Then eight identical patch elements
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Resistive Switching Property of Euforbia Cotinifolia Plant Extract for Potential Use in Eco-Friendly Memory Devices J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-28 Zolile Wiseman Dlamini, Sreedevi Vallabhapurapu, Srinivasu Vijaya Vallabhapurapu
Resistive switching memory devices based on organic materials are intriguing. These devices are biodegradable and nontoxic to living organisms. In this work, using euphorbia cotinifolia plant extract was investigated for its applicability as an active layer of a resistive switching memory device consisting of silver top electrode and indium-doped tin oxide bottom electrode. This study selected Euphorbia
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Spatial–Spectral Total Variation-Regularized Low-Rank Tensor Representation for Hyperspectral Anomaly Detection J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-28 ZhiGuo Du, Xingyu Chen, Minghao Jia, Xiaoying Qiu, Zelong Chen, Kaiming Zhu
Hyperspectral anomaly detection is a vital aspect of remote sensing as it focuses on identifying pixels with distinct spectral–spatial properties in comparison to their background representations. However, existing methods for anomaly detection in HSIs often overlook the spatial correlation between pixels by converting the three-dimensional tensor data into its folded form of independent signatures
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Cross-Subject Brain–Computer Interfaces with Joint Distribution Alignment J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-28 Xianghong Zhao, Longhua Ma, Weiming Cai, Bin Lian, Jialin Cui, Lingjian Ye
Distributions of electroencephalogram (EEG) data vary greatly across different subjects. It is a very important issue how to generalize models across subjects. In this paper, an algorithm is proposed to build high-performance cross-subject motor-imagery brain–computer interfaces (BCIs) for a new subject. First, a novel distance metric is proposed to quantify the joint distribution discrepancy (JDD)
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Nanotube TFET Biosensor with High-Frequency FOMs as Sensing Parameter J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-22 Anju Gedam, Bibhudendra Acharya, Guru Prasad Mishra
This paper proposes a new dielectrically modulated (DM) twin cavity nanotube biosensor and its sensitivity evaluation suitability by the transit time (τ) and device efficiency (gm/Ids). In addition, the vertical structure of the device also helps the uniform spreading of biomolecules within the nanogap cavity region. The inner cavity of the proposed biosensor offers more space for the stabilization
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Edge Perception Temporal Data Anomaly Detection Method Based on BiLSTM-Attention in Smart City Big Data Environment J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-22 Bin Xia, Jun Zhou, Fanyu Kong, Jiarui Yang, Lin Lin, Xin Wu, Qiong Xie
The improvement of edge perception layer anomaly detection performance has an immeasurable driving effect on the development of smart cities. However, many existing anomaly detection methods often suffer from problems such as ignoring the correlation between multiple source temporal sequences and losing key features of a single temporal sequence. Therefore, a new anomaly detection method using BiLSTM
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A Statistical Model-Based Approach for Reproducing Intermittent Faults in Electrical Connectors under Varying Vibration Loading Conditions J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-22 Xinglong Zhou, Kuntao Ye, Sheng Li, Songhua Liu
The performance of electrical connectors can be significantly impacted by periodic variations in contact resistance caused by vibrational stress. Intermittent faults resulting from such stress are characterized by their random and fleeting nature, making it difficult to study and replicate them. This paper proposes a novel method for reproducing intermittent faults in electrical connectors. To implement
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New Approaches for Realizing Transconductance-boosted VDTA Structures J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-22 Parveen Rani, Priyanka Gupta, Gurumurthy Komanapalli, Rajeshwari Pandey
This paper presents two new transconductance-boosted architectures of the voltage differencing transconductance amplifier (VDTA). The first architecture (VDTA-I) relies on the technique of transconductance enhancement using partial positive feedback which is realized through negative impedance implemented using a cross-coupled amplifier. The second architecture (VDTA-II) incorporates the concept of
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A Biometric Key-Enhanced Multimedia Encryption Algorithm for Social Media Blockchain J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-22 Tao Liu, Zhongyang Yu
Social media blockchain is emerging as a promising solution to deal with privacy issues, by putting user privacy in edge nodes rather than centralized nodes. Under the protection of information encryption, only those who have cryptographic keys can get access to key information. This work aims at multimedia information in social media blockchain and utilizes the RSA encryption mechanism to construct
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CFOA-Based Sinusoidal Oscillator with Complete Resistive Tuning and Low Parametric Sensitivity J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-21 Gandikota Nagachandrika, Komanapalli Gurumurthy
In this paper, a second-order sinusoidal oscillator (SO) has been presented using current-feedback operational amplifiers (CFOAs) as the active element. The proposed oscillator uses five resistors and two grounded capacitors in its circuit design, making it simple and cost-effective to implement. Its design allows for greater control and flexibility in designing the oscillator circuit, making it an
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Mole Fraction and Device Reliability Analysis of Vertical-Tunneling-Attributed Dual-Material Double-Gate Heterojunction-TFET with Si0.7Ge0.3 Source Region at Device and Circuit Level J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-21 Km. Sucheta Singh, Satyendra Kumar
This paper puts forward a new vertical-tunneling-attributed dual-material double-gate heterojunction-TFET (VTDMDG-HTFET). The device structure of VTDMDG-HTFET includes Si0.7Ge0.3 material for the designing of source region. The mechanism of vertical tunneling in VTDMDG-HTFET provides superior electric field at tunneling interface and leads to improved transfer characteristics. VTDMDG-HTFET also includes
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Battery Thermal Management System for Electric Vehicle (EV)/Hybrid EV (HEV) with the Incorporation of POA-FSO Strategy J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-20 P. Justin Raj, V. Vasan Prabhu, V. Krishna Kumar
A hybrid technique is proposed for electric vehicles (EVs) or hybrid electric vehicles (HEVs) with a battery thermal management system (BTMS). The proposed hybrid method is the combined execution of the Pelican Optimization Algorithm (POA) and Firebug Swarm Optimization (FSO). The hunting behavior of pelicans is improved with the help of the FSO technique; hence, it is named the POA-FSO strategy. Here
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A Spatiotemporal Deep Learning-Based Smart Discovery Approach for Marine Pollution Incidents from the Data-Driven Perspective J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-20 Jinjin Zheng, Ning Li, Song Ye
Marine pollution incidents (MPI) are often a dynamic process of time and space interaction. Currently, the monitoring of MPI is basically realized by manual analysis from expert experience. Such working mode has an obvious time lag, and is not useful for timely disposal. As a result, intelligent algorithms that can make quick discovery for MPI from massive monitoring data remain a practical demand
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Automatic Dependent Surveillance-Broadcast Deceptive Jamming Detection Method Based on Track Data J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-20 Jiahe Li, Yazhou Zhou
The characteristics of automatic dependent surveillance-broadcast (ADS-B) technology, such as unencrypted channels and open data protocols, make it extremely vulnerable to various intentional or unintentional spoofing and jamming, which seriously threatens air traffic safety. Traditional approaches do not update their high-bit data for a long time, which causes the situations of the same encoding results
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Design and Analysis of Low Power and High-Speed Dynamic Comparator with Transconductance Enhanced in Latching Stage for ADC Application J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-19 Anurag Yadav, Subodh Wairya
The increasing demand for low voltage, power efficient, high-speed analog-to-digital converters (ADCs) results in the improvement of speed and power of regenerative dynamic comparator. In this paper, a dual-tail dynamic comparator is used with two extra transistors in the latch stage. These extra transistors help in the increase of transconductance of the latch stage, which helps decrease the delay
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Subnetwork Based Traffic Aware Rerouting for CMesh Bufferless Network-on-Chip J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-16 Rose George Kunthara, Rekha K. James, Simi Zerine Sleeba, John Jose
On-chip interconnection networks are primarily designed for efficient, high-performance Tiled Chip Multi-Processors (TCMP) architectures. Bufferless Network-on-Chip (NoC) is a better design option owing to their simpler router structure, area and power efficiency. Deflection routers have similar network performance of buffered designs at low to medium network traffic as deflections are minimal. But
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An Internet of Medical Things-Based Mental Disorder Prediction System Using EEG Sensor and Big Data Mining J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-16 V. D. Ambeth Kumar, Sowmya Surapaneni, D. Pavitra, R. Venkatesan, Marwan Omar, A. K. Bashir
In the colloquy concerning human rights, equality, and human health, mental illness and therapy regarding mental health have been condoned. Mental disorder is a behavioral motif that catalyzes the significant anguish or affliction of personal functioning. The symptoms of a mental disorder may be tenacious, degenerative, or transpire as a single episode. Brain sickness is often interpreted as a combination
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CMOS VM/CM Tow–Thomas-Equivalent Biquad Filters and a Linear VCO Using Recently Proposed CMOS Transconductors J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-16 Manish Rai, Raj Senani, Abdhesh Kumar Singh
The main objective of this paper is to present novel applications of two recently proposed CMOS transconductors in realizing voltage mode/current mode Tow–Thomas (TT)-equivalent biquads and a linear voltage-controlled oscillator (VCO), all exhibiting a number of advantages over the previously known circuits to realize the same functions. The workability of all the propositions has been demonstrated
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An Enhanced Group Abnormity Detection Model in Social Networks Through Multi-Scale Knowledge Graph-Based Deep Learning J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-16 Yibo Zhang, Jierui Zhang
In area of group abnormity detection, deep learning-based methods have received more attention in recent years. But existing research works mostly failed to well-integrate complex graph-level characteristics of social network context into feature representation. To deal with this issue, this paper proposes an enhanced group abnormity detection model in social networks through multi-scale knowledge
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Shale Gas Production Prediction Based on PCA-PSO-LSTM Combination Model J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-15 Dengxin Chen, Cheng Huang, Mingqiang Wei
During the shale gas extraction process, affected by the internal pressure of the geological layer and other factors, the internal pressure will gradually decrease with time, and the production will also decrease, and it is necessary to rely on artificial pressurization and other ways to keep the production stable. Accordingly, we analyzed the high-frequency data of shale gas production obtained from
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Fully Pipelined FPGA Acceleration of Binary Convolutional Neural Networks with Neural Architecture Search J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-14 Mengfei Ji, Zaid Al-Ars, Yuchun Chang, Baolin Zhang
In this paper, we present a fully pipelined and semi-parallel channel convolutional neural network hardware accelerator structure. This structure can trade off the compute time and the hardware utilization, allowing the accelerator to be layer pipelined without the need for fully parallelizing the input and output channels. A parallel strategy is applied to reduce the time gap in transferring the output
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Area-Efficient and Wideband Tunable Quadrature Colpitts Oscillator with Active Inductors J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-14 Atefeh Ebrahimi, Sadegh Hosseini, Emad Ebrahimi
This study presents a new wide-tunable, area-efficient and low-phase noise quadrature voltage-controlled oscillator(QVCO). Initially, a modified Colpitts voltage-controlled oscillator (VCO) is proposed in which all transistors are cross-connected in a self-biased scheme to increase negative resistance and facilitate the startup condition. Besides, instead of a passive inductor, a modified tunable active
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Mole Fraction-Based Approach for Sensitivity Analysis of Dual Material Control Gate Polarity Controlled Tunnel Field Effect Transistor for Applications in Biomedical Engineering J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-14 Maturkar Shreyanshi, Sangeedh, Kaushal Kumar Nigam, Ajay Singh Raghuvanshi, Dharmender
The fabrication complexity and cost associated with nanoscale devices are major concerns. Therefore, to address these challenges, we have introduced a mole fraction-based approach for the sensitivity analysis of a dual material control gate cavity on a source electrically doped polarity-controlled tunnel field effect transistor (DMCG-CS-ED-PC-TFET)-based biosensor for label-free detection of biomolecule
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A Latency-Aware End-Edge Cooperative Insulator Detection Method with High Energy Efficiency and Accuracy J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-14 Wei Qiang
A prerequisite to ensure the stability of the power supply system is suitable functioning of transmission line equipment. However, the increasing deployment of transmission lines in modern power systems has introduced significant challenges to line inspection. While deep learning-based image detection techniques have shown promise in improving the efficiency and accuracy of insulator detection, they
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Voltage-Mode Multifunction and Universal Biquads with Two CFOAs J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-14 Mehmet Dogan, Erkan Yuce, Zafer Dicle
In this paper, a new voltage-mode (VM) multifunction filter including only two grounded capacitors, three resistors, and two current feedback operational amplifiers is introduced. This filter with one high input impedance and two low output impedances can simultaneously provide band-pass filter (BPF) and low-pass filter (LPF) responses with an adjustable gain. A universal VM filter topology with three
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Designing and Application of Modified SCSO-Based LADRC Controller for Dicing Saw Chuck Table Systems J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-14 Jun Shi, Wei Zhu, Xiaoning Li, Weifeng Cao
In this paper, the linear active disturbance rejection control (LADRC) is applied to the position control of a dicing saw chuck table, which is used to improve the steady-state accuracy and anti-interference ability of the control system. Aiming at the problem that LADRC parameters are difficult to adjust, a parameter adjustment method based on an improved sand cat swarm algorithm is proposed. The
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High-Performance MOS-C Realization of Mixed-Mode Third-Order Sinusoidal Oscillator J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-09 Atul Kumar, Bhartendu Chaturvedi, Shafali Jagga
A newly designed third-order mixed-mode orthogonally tuned quadrature oscillator, generating sinusoidal voltage and current waveforms, is introduced in this paper. The reported circuit is realized using two dual-X current conveyor transconductance amplifiers (DXCCTAs), two active MOS-based grounded resistors and three grounded capacitors. MOS-C realization of the proposed oscillator with all grounded
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A Single-Stage LED Driver Based on Boost Circuit and CLCL-T Resonant Converter J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-09 Jianguang Ma, Ying Sun, Zhijun Liu
This paper proposed a single-stage AC-DC converter based on boost circuit and CLCL-T resonant converter for improving the performance of the LED driver. In practice, the two-stage LED driver is not suitable for low-power lighting applications. To overcome the problems, by integrating the boost power factor correction (PFC) circuit and CLCL-T resonant DC–DC converter, the proposed LED driver exhibits
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A Small Target Segmentation-Based Assistive Medical Diagnosis Method via Multimedia Data Analysis J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-09 Tao Chen, Yanfeng Huang, Yuping Li
The assistive medical diagnosis via multimedia data analysis has been a hot research topic in the area of intelligent health management, which saves a lot of human labor for the hospital. In that, a typical task is to detect and extract key small targets from the medical images. How to ensure detection speed and recognition precision is of great importance to the final practicability of the intelligent
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An Example of Intelligent Security System Based on Deep Learning J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-09 Adnan Ramakić, Zlatko Bundalo, Dušanka Bundalo
In this paper, an example of an intelligent security system based on deep learning approach has been analyzed and described. Security is an important element in many aspects of human life. Depending on customer requirements, different levels of security may be required and implemented. Nowadays, artificial intelligence is becoming an indispensable part in many areas of human life and accordingly security
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Optimal Scheduling of Park-Level IES by Considering Combined Weights J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-05 Zihao Yang, Xiran Zhou, Ruijie Si, Xiangyu Cai, Haoqian Cui, Yannan Dong, Haixin Wang, Junyou Yang, Zhe Chen, Shiyan Hu
To address the carbon emission issue of combined heat and power (CHP) units in park-level integrated energy system (IES), this paper proposes an optimization scheduling model of park-level IES by considering combined weights. Firstly, a park-level IES is established within a designated park area, incorporating gas storage (GS), power to gas (P2G), carbon capture and storage (CCS), CHP units, wind power
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The Dynamics and Theoretical Analysis Underlying Periodic Bursting in the Nonsmooth Murali–Lakshmanan–Chua Circuit J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-02-05 Jinchen Song, Nan Ma, Zhengdi Zhang, Yue Yu
Motivated by the study of multiple time scale system dynamics, we analyze the Murali–Lakshmanan–Chua (MLC) dissipative circuit exhibiting periodic bursting with different types of oscillations in this paper. Such patterns can be analyzed by treating the slow variable as a parameter of the nonsmooth fast subsystem. The discontinuous bifurcation structure of the subsystem can be described by the generalized
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An Improved Convolution Neural Network-Based Fast Estimation Method for Construction Project Cost J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-01-29 Yun Zeng, Honglin Chen
At present, most network models do not fully consider the prior information on construction project cost, and do not do much research to find out more information or effectively utilize the information the find on construction project cost; conversely, some previous networks mainly consider the depth of the network for the reconstruction results. In addition, there is no detailed discussion on the
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IoT Ecosystem Security via Distributed Ledger Technology (Blockchain versus IOTA): A Bibliometric Analysis Research J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-01-29 Jaspreet Singh, Gurpreet Singh, Deepali Gupta, Shalli Rani, Gautam Srivastava
The increasing popularity and adoption of the Internet of Things (IoT) ecosystem in various domains has brought attention to the security breaches linked with this paradigm. As the number of IoT devices continues to grow, it is essential to ensure that they are secured to protect against potential threats and attacks. IoT network proliferation of interconnected devices has significantly raised security
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Event-Triggered Fractional PID-Based Load Frequency Control in Islanded Microgrids Under Cloud-Edge Collaborative Framework J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-01-29 Min Zheng, Ci Chen, Yajian Zhang, Mengfan Ruan, Peike Li
To address the issue of frequency stability in microgrids with limited communication resources and bandwidth, this paper proposed an event-triggered control method based on a cloud-edge collaborative architecture. Firstly, to address the limited communication resources, event-triggered detector is set up at the edge to upload state variables and update control instructions only when the frequency deviation
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Speaker Emotion Recognition System Using Artificial Neural Network Classification Method for Brain-Inspired Application J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-01-29 Mahesh K. Singh
New advancements in deep learning issues, motivated by real-world use cases, frequently contribute to this growth. Still, it’s not easy to recognize the speaker’s emotions from what they want to say. The proposed technique combines a deep learning-based brain-inspired prediction-making artificial neural network (ANN) through social ski-driver (SSD) optimization techniques. When assessing speaker emotion
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Deep Reinforcement Learning-Based Motion Control for Unmanned Vehicles from the Perspective of Multi-Sensor Data Fusion J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-01-29 Hongbo Wei, Xuerong Cui, Yucheng Zhang, Haihua Chen, Jingyao Zhang
In this paper, the vehicle position points obtained by multi-sensor fusion are taken as the observed values, and Kalman filter is combined with the vehicle kinematics equation to further improve the vehicle trajectory. To realize this, mathematical principles of deep reinforcement learning are analyzed, and the theoretical basis of reinforcement learning is also analyzed. It is proved that the controller
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Improving Haze Detection Using Deep Learning-Based Optimal Contrast Limited Adaptive Histogram Equalization J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-01-24 Shivani Joshi, Rajiv Kumar, Vipin Rai, Praveen Kumar Rai, Manoj Singhal
When gathering optical satellite pictures, light reflected from the surface due to water vapor, snow, fog, haze, and more tiny particles in the environment is generally seen as a gap in the propagation process. Haze has a greater number of suspended particles like aerosols and water droplets. These particles have absorption effects and scattering in the light. Although haze translucency grants a chance
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Compact K-Band Current Mode Tunable Active Only Bandpass Filter Using 32nm CNTFET-Based MOCCCII J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-01-24 Shabnam Mirnezamis, Massoud Dousti, Mehdi Dolatshahi
A low-power and compact carbon nanotube field-effect transistor (CNTFET)-based K-band electronically tunable band-pass filter (BPF) is presented. The filter is designed using second-generation multiple-output current-controlled current conveyor (MOCCCII). The presented active only current-mode BPF employs three MOCCCIIs and two CNTFETs as capacitors. This BPF can be tuned by varying the parasitic resistance
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Monitoring Rubbish on Roads in Real Time by Deep Neural Network J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-01-24 Yan Fu, Tiaozong Xiao, Zichen Xu
Monitoring and managing litter on the roadways is important not only for preserving the cleanliness and esthetic appeal of our cities but also for safeguarding the overall health and sanitary environment of citizens. With the development of artificial intelligence, it is now possible to design algorithms capable of autonomously assessing the sanitation status of roadways. In this paper, we propose
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NAND/NOR Polar Logic Circuits Using a Single Current Conveyor J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-01-24 Sudhanshu Maheshwari
This paper presents a new polar logic circuit using a single current conveyor, two MOS switches and two resistors in each case. Thus, polar NAND and NOR circuits are proposed. The circuits’ operation details and simulation results are given in support of the proposed theory. The circuits are designed using CMOS CCII+ with ±2V supply voltage. The polar logic levels at the output are −1 and 1 V for logic
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Realization of nth Order Wave Active Low-Pass Filter Using Differential Difference Current Conveyor J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-01-22 Sweta Kumari, Deva Nand
A wave active filter (WAF) based on a differential difference current conveyor (DDCC) is presented in this paper. An active filter formation depends entirely on wave quantity processing. The wave method is demonstrated for the basic wave active elements (WAEs) of active filters such as a series inductor and a shunt capacitor. The novelty of the proposed work is that the mathematical operations required
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Analysis of a Low-Power OTA-Based Neural Amplifier Design for EEG Signal Acquisition J. Circuits Syst. Comput. (IF 1.5) Pub Date : 2024-01-22 Sourav Nath, Lokenath Kundu, Swagata Devi, Koushik Guha, K. L. Baishnab
This paper presents the design of an efficient operational transconductance amplifier (OTA) to be explicitly used for electroencephalogram (EEG) signal acquisition in neural amplifiers (NAs). The central objective of this study revolves around addressing the fundamental compromise between noise and power in the design of NAs. The overarching goal is to effectively mitigate this trade-off by introducing