Proposed in this manuscript is a broadband bandpass filter (BPF) with dual in-band transmission zeros (TZs) and elongated stopband for application in ultra-wideband (UWB) networks. The basic structure is developed on the principle of broadside coupling of microstrip-to-coplanar waveguide (CPW). Semi-elliptical microstrips on the top are arranged in back-to-back manner and coupled to the open circuited

Surface electromyogram (SEMG) shows the vital information of human motor activity. This information can identify the motor activity and controlling assistive and rehabilitative devices. However, its efficient extraction and interpretation plays a very critical role. The present study is focused on lower limb activity classification by selecting the efficient feature vector of the lower limb SEMG signal

An important goal of computer vision research is to give computers human-like cognitive abilities so that the computer can recognize the environment in the visual field, understand the content of emotions, and take appropriate actions. Most of the information that people can perceive is obtained through vision. It is the human goal to make computers have the same visual functions as humans. At present

Location Fixing (LF) of Radar Emitters is carried out in an Electronic Warfare scenario by Sensors with Direction-of-Arrival and signal parameter measurement capabilities, geographically distributed over few tens of kilometres. The present paper brings out the Scenario Simulation and Synchronous generation of Radar Signal at Geographically distributed locations for comprehensive testing of the Emitter

Combined input–output finite-time stability condition with static output-feedback H∞ control is proposed in this work to effectively attenuate the short-duration road disturbance. The control problem is formulated based on the pre-defined condition of input–output finite-time stability with H∞ bound along with pre-established quarter-car active suspension model. Then, a feasible static output-feedback

This paper presents a compact configured 5G dual-band MIMO loop antenna system for laptop computers. The antenna system consists of two identical 95 × 2 mm2 four-antenna units that are arranged on the top edge of the display ground plane and are 10 mm away from the left and right sides. The four-antenna unit, each being a two-dimensional loop antenna of the same structure and size, are constructed

As conventional Complementary Metal Oxide Semiconductor (CMOS) reaches extreme limitation to implement the digital circuits with high density and low power dissipation, alternate devices are necessary. To keep Moore’s Law alive and to implement the processors with tiny devices, the researchers are trying to produce nano-devices, alternatives to conventional devices. Nanowire is a most prominent device

The proposed antenna presents a dual-band monopole antenna with a wide axial ratio bandwidth, by using the modified ground plane. The tilted inverted L-shaped strip with an angle of α is printed on the FR4-epoxy substrate and is excited by the microstrip feedline. The overall dimension of the proposed antenna is 0.408λ0 × 0.326λ0 × 0.013λ0. The ground plane has been modified by introducing a Y-shaped

Reliability of the resistor-capacitor (RC) time constant of a continuous-time (CT) filter, critical in analog systems, has long been an obstacle with integrated circuits. Due to differences in processing, voltage, and temperature in contemporary Complementary Metal Oxide Semiconductor (CMOS) technology, the RC time constant uncertainty of up to 50% can arise, causing challenges such as uncertainty

The existence of unmatched uncertainties is known as a serious challenge for designing a robust sliding mode control (SMC) law for nonlinear systems. To pass over this obstacle, a novel robust passivity-based sliding mode approach is proposed here for a large class of MIMO nonlinear systems. The design procedure is accomplished in two steps in presence of both matched and unmatched uncertainties. First

FinFET provide themselves as a strong candidate for low-power applications. However, the enactment of a device depends upon the precision of fabrication process. The ion implantation technique of source/drain region extends towards the channel region and affects the device performance. In this paper, the DC and short channel performances like transfer characteristic, output characteristic, Subthreshold

In this paper, a photovoltaic system, which can move both east–west directions horizontally and in a north–south vertically, is designed according to the sun’s angle of incidence. Experimental studies have been carried out on this system, which can follow the change of the sun’s daily angle depending on the local time throughout the day. This study was evaluated for one of the cloudy provinces of Turkey:

In order to improve the anti-disturbance ability and reduce the sensitivity to faults for the quadrotor UAV, the robust sliding mode adaptive control strategy based on iterative learning is designed in this paper. Firstly, the dynamic model of the quadrotor UAV is established. Secondly, the iterative learning observer is designed to track the states of the UAV system, and the convergence analysis of

This paper mainly studies the numerical simulation of the force process of the runner blades in the transient process of the pump-turbine. In this paper, dynamic simulation technology is used to carry out three-dimensional numerical simulation of the transient process of pump-turbine, and the star-ccm+ simulation software is combined with the CATIA parameterized model to realize the automatic update

In this paper, the modified artificial bee colony optimization algorithm, in which the accept–reject method is used as a part of the solution process in order to limit the random search space, is proposed for solving the optimization problems. The accept–reject method can find points of desirable quality and high accuracy with the help of probabilistic functions and limited the random search space

In this paper, the coordinated control of vehicle to grid (V2G) power control and proportional-integral (PI) tuned with particle swarm optimization (PSO), based on H-infinity control, are integrated to control the frequency regulation of interconnected power system in Smart Grid (SG) environment. The plug-in hybrid electric vehicle (PHEV) can compensate the deficient load frequency control (LFC) capacity

The supply chain is composed of parties that directly or indirectly fulfill customer needs, including not only manufacturers and suppliers, but also transporters, warehouses, retailers, and even customers themselves. The supply chain includes all functions to accept and meet customer needs. This article aims to study the application of intelligence based on the Internet of Things in supply chain adaptive

A novel antenna miniaturization technique of microstrip-fed slot antenna, using a folded slot topology, is highlighted. Antennas are designed with slits on both sides of folded slot and metallic strips on the bottom of the substrate. An unfolded radiating slot of 30.00 mm length is folded to 15.44 mm, without compromising the radiation pattern or return loss characteristics. The proposed antenna exhibits

With the rapid development of information technology, mobile in recent years, with the rapid development of information technology, mobile 5G, virtual reality, augmented reality, big data, cloud computing, artificial intelligence, etc. are gradually integrated into people's lives, work and Learning brings infinite possibilities for the future. From a learning perspective, in order to allow learners

In this work, a novel triband antenna is developed for wireless local area network (WLAN), worldwide interoperability for microwave access (WiMAX), and Bluetooth application. The proposed antenna is printed on a low-cost FR-4 substrate and has an overall size of 25 mm × 40 mm × 1.6 mm. Coplanar waveguide (CPW) line with characteristic impedance of 50 Ω is used as feed for the designed antenna. A prototype

Porcelain art is a classic art treasure in the history of human civilization. After thousands of years of development, it carries the wisdom and sweat of the ancients and draws us a masterpiece that spans thousands of years. China is the hometown of porcelain. As the essence of Chinese art, porcelain has retained the traditional artistic characteristics of our country for thousands of years. Porcelain

In recent years, Deep Learning (DL) models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM), have been widely used for Human Activities Recognition (HAR). They have achieved considerable performance improvements over classical Machine Learning (ML) approaches due to their excellent feature representation capabilities. Simple human

With the development of cities, more and more problems have been exposed, and the consumption concept of green travel has become more and more popular. The public Internet of Things electric bicycle system includes perception level, central control level, data processing level, system service level and system management level. Perception level is used to collect public bicycle equipment and citizen

Rectilinear Steiner tree (RST) construction is an important part of recent VLSI physical design. This article presents an efficient satisfiability (SAT) based approach to construct an obstacle-avoiding Rectilinear Steiner tree for a given set of pins in the presence of a given set of rectilinear obstacles. Initially, a spanning tree is generated without considering the obstacles and the net is decomposed

With the rapid development of microelectronics technology, digital image processing technology has deepened our lives. In the past, image processing mostly used software processing. Due to the large number of processing algorithms and the complexity of the algorithm, it could not meet the real-time requirements. Therefore, this paper proposes a method for parallel processing of ultrasound images based

The automated process for dental caries detection draws increasing attention with the technological innovation in machine learning methods. This is a core issue in dental diseases especially in the detection of caries as it leads to serious health ailments. This paper takes an effort to adequately segment and identify dental diseases. There are four main steps. The preprocessing technique uses binary

Automated computer-aided soft computing methods are presently used to detect the tumor regions in brain images. In this paper, the tumor cells are detected in the brain Magnetic Resonance Imaging (MRI) using the Extended Linear Boosting (ELB) classification method as one type of soft computing process. This paper proposes an effective brain tumor detection and segmentation method using the ELB classification

For efficient working of the power system, an accurate approach for short-term load forecasting (STLF) is suggested. To improve the accuracy of forecasting, various weather conditions, such as temperature, humidity, dew point, wind chill, and wind speed, are considered and their impact on the accuracy of load forecasting is studied in detail in terms of Mean Absolute Percentage Error (MAPE), Root Mean

ABSTRACT Electric vehicles and hybrid vehicles are the gateway to the future of transportation. The policymakers all around the world are pushing for a transition to electric and hybrid vehicles as soon as possible because of its environment-friendly nature and also reducing dependency on the fossil fuels. But with the introduction of electric vehicles comes the challenge of developing the charging

In this paper, some affine and rational functions are applied to define a class of LDPC codes, called RLDPC codes, which can be classified in two types, type-I and type-II, depending on being equivalent or not with APM-LDPC codes, respectively. Then, for each type, some explicit methods are provided to generate RLDPC codes with girth at least 6. While, cyclotomic cosets are used to generate type-I

The Electricity Demand Prediction (EDP) and Generation Expansion Planning (GEP) make a real-world planning problem more optimal. In this study, the EDP problem has been solved using the optimization techniques such as Differential Evolution (DE), Genetic Algorithm (GA) and Artificial Immune System (AIS) for Tamil Nadu state, India. The electricity demand has been predicted and validated in terms of

The rapidly drop of frequency in the microgrid (MG) system when it operates under island operation has caused frequency stability problems. In case, generators and renewable energy sources cannot supply enough power to restore the frequency, the load shedding will be proceeded. This paper proposes the load shedding method based on the coordinate multiple load shedding factors when the MG system operates

ABSTRACT The aim of this article is to apply Hybrid Nelder–Mead – Grey Wolf Optimizer (HNMGWO) in congestion management problem with optimal congestion cost by rescheduling generators in the power system. When the transmission power lines are overloaded in the power system, the following strategies are followed: generator rescheduling and installation of FACTS devices on the lines and load curtailment

This paper studies the precise clock management technology for the power consumption information collection system which demands precise requirements of the electric power meter clock. The causes of the clock deviation of the collection system and the problems caused by the clock deviation are analysed first; Then the key technologies for achieving accurate time synchronization are explained; Next

ABSTRACT This research report investigates the effect of fabrication methodology in the sensitivity performance of the ZnO (Zinc Oxide)-based piezoelectric vibration sensor. For that, two types of synthesising techniques, namely, normal hydrothermal (H) method and refresh hydrothermal (R) methods were used for the growth of ZnO nanorods on rigid substrates. Insights into the structural and morphological

In order to study the working mechanism of piezoelectric composite cantilever beam and improve the ability of predicting the power generation performance of piezoelectric composite cantilever vibration energy harvester (CVEH), the simple and high-precision analysis models of equivalent mass and equivalent stiffness of CVEH are proposed. The natural frequency method is used to compare the calculation

ABSTRACT This paper focuses on the Fault-Tolerant Tracking Control (FTTC) design for a PV pumping system using an Induction Motor (IM) drive. This control strategy offsets the effect of the sensor faults and ensures the transfer of optimal power to unit motor–pump. First, to simultaneously estimate the system states and the sensor faults, we developed a Takagi Sugeno (TS) fuzzy descriptor observer

Pre-insertion resistor (PIR) is an important component of circuit breaker. The healthiness of the circuit breaker (CB) depends upon that of PIR contact. With the increasing demand of uninterrupted power supply, failure in major equipment like CB may incur huge loss to the utility. The existing study reveals that mechanical failures are more dominant than other types of failures. Thus, many industries

Plant-based medicines have been a part of primary healthcare since time immemorial. Natural products have received increasing attention to treat several regenerative diseases due to their availability and fewer side effects than conventional drugs. Towards this, Neem, commonly known as ‘Divine Life-giving tree’, has been investigated for its efficiency against MCF7, breast cancer cell lines. Ethanolic

In this paper, a scheme is proposed for selecting the bounds of controller parameters required for tuning proportional integral and derivative controllers for linear time-invariant multi input multi output (MIMO) systems. In an evolutionary optimization algorithm, the judicious selection of the tuning range of proportional integral and derivative controller parameters is of primary consideration for

A compact ultra-wideband Multiple-Input-Multiple Output (MIMO) Monopole antenna is proposed for frequency-notched applications. The proposed MIMO antenna consists of two identical Monopole antennas excited by two microstrip feeds. A stub is attached to the ground plane to improve isolation and impedance bandwidth. A quarter wavelength spur line is embedded on the feeding part of the antenna to achieve

This paper presents a path-finder algorithm (PFA) of meta-heuristic optimization for the performance enhancement of the bias compensated normalized maximum correntropy criteria (BCNMCC) based voltage source converter (VSC) control for a three-phase three-wire grid-tied dual-stage PV system. The DC link voltage (VDC) variations during induced dynamic conditions are minimized by PFA optimized PI controller

ABSTRACT A Novel Hybrid Choke High Gain Antenna (HCHGA) that operates at 15 GHz is presented in this article, HCHGA is a circularly polarized one that effectively mitigates the multipath effects. The proposed antenna has good impedance matching with S11 of −20.99 dB with a gain of 10.26 dB, and an axial ratio of 1.74 dB. The radiation patterns of the antenna are orthogonal to the antenna surface without

In this article, a coplanar waveguide (CPW) based compact low loss notch filter (NF) with sharp roll–off is proposed. At the beginning, the proposed NF is designed using an array of conventional Multiple Split Ring Resonator structure (MSRR), then it is replaced by modified MSRR structure in array to improve the sharpness factor in dB/GHz. This array of modified MSRR structure is behaving like a metamaterial

ABSTRACT Machine Translation (MT) depends upon the MT evaluation for comparing several MT systems and gives a measure of their efficiency in terms of translation sentences. Consequently, MT evaluation has become an integral part of the MT procedure and it has led to the development of several MT evaluation metrics which can automatically assess the MT systems. Lexical metrics like BLEU have been mostly

ABSTRACT This paper proposes a novel Improved Artificial Electric Field Algorithm (IAEF)-based AGC in a multi-area power system to minimize the area control error and to obtain an optimal solution. Here, four area AGC systems equipped with the PID controller are examined for the study processes. Also, an optimal gain value for the PID controller is obtained by employing an IAEFA; thus minimizing the

In recent decades, automatic human emotion detection plays a crucial role in human and machine interaction. Electroencephalograph (EEG) based human emotion detection is a challenging process due to the diversity, and complexity of human emotions. For recognizing diverse emotions, a novel model is presented in this paper. Initially, an average mean reference technique is used to eliminate the environmental

Data mining technology is an effective way to solve the problem of rich data and poor knowledge. Cluster analysis is an important content of data mining, including analysis ideas based on partition, hierarchy, density, grid and model. Neural network clustering is a typical clustering method based on model thinking. It is an organic combination of brain cognitive science and data mining. It has a strong

Monitoring the farm field data parameters is one of the important criteria for farmers to keep track of the cultivations and its progress. Internet of Things (IoT) powered system can be implemented in the farm field, with the help of sensors to sense the data from the farm field in the Real-Time cloud. The data collected at the farm field can be accepted after proper authentication from the farmer

ABSTRACT A new motion estimation method and its hardware implementation are presented in this paper. In this method, all the frames are firstly gray coded. After that, the two most significant bits from the current frame and reference frame are used to compute the motion vector. Besides, a diamond search algorithm is used in place of the full-search algorithm. The motion estimation scheme proposed

As macroscopic Breast Cancer (BC) imaging diagnostics do not provide satisfied data, microscopic image analysis is used to get optimum cell-nuclei segmentation for image categorization. The paper presents a Novel Hybrid Segmentation Method which uses the energy detail coefficients attained from Non-Subsampled Contourlet Transform for cell-nuclei segmentation of BC histopathological images. NHSM solves

With the increase in traffic on cloud servers due to the shifting of various services, information security has become a matter of major concern. This paper describes the security issues influencing cloud computing, compares the performance of traditional and the latest security techniques, and focuses on the challenges facing its implementation. Traditional schemes like RSA, ElGamal, and Pailler Algorithms

A six-port MIMO antenna system for forthcoming mobile applications (Sub 6 GHz) is presented in this paper. Four F-shaped antenna elements are placed at four extreme corners and two at the middle side edges of 0.8 mm thick FR4 substrate. An open-ended slot is carved into the ground plane to improve the impedance matching. The proposed antenna operates in the frequency range of 3.4–3.6 GHz (LTE Band

An ultra-low power 8-Transistor Modified Gate Diffusion Input (MGDI) Carbon Nano Tube Field Effect Transistor (CNTFET) Full Adder (FA) has been presented in this paper. The proposed 8-T MGDI CNTFET Full Adder outperforms other adders in terms of Power Consumption, Propagation Delay and the PDP at different levels of Power Supply and Temperatures. The power consumption of the proposed 10 nm CNTFET 8-T

The machine learning techniques can be used for clinical investigations in breast cancer diagnosis. The researchers investigated various machine learning algorithms, such as Support Vector Machine, Naïve Bayes, Logistic Regression (LR), Random Forest, Decision Tree and K Nearest Neighbor to diagnose the disease. Early detection of breast cancer cells from the features is essential. Feature selection

The aim of this study is to examine the influence of the variation of the intrinsic impedance on the phase of a Gaussian pulse during propagation through a biological tissue. This paper describes a method for varying the intrinsic impedance while retaining the characteristics of the propagation medium. The propagation medium is considered as the superposition of four semi-infinite layers each characterized

In this paper, an ensemble deep transfer learning (EDTL) based on Faster R-CNN is introduced for the vehicle detection in UAV images. We perform a weighted-averaging ensemble transfer learning comprising six base learners using a ResNet50 that have already pre-trained on ImageNet dataset. The weights of the six base learners as well as the final decision threshold are adaptively optimized via genetic

In this research article, a high-performance and compact 2-port slotted hexagonal structure multiple-input multiple-output (MIMO) system is presented. This structure is designed by using novel technology that includes the hexagonal structure with a slotted rotate C-shape structure for obtaining better isolation parameters and commercial 5G applications. The overall design size is 40 × 26 mm2, which

This study is a unique approach for the design and implementation of True Random Number Generator (TRNG) using ADPLL, on Field-Programmable Gate Array (FPGA) board Artrix-7 (XC7A35T-CPG236-1) and the simulation was done on Vivado v.2015.2 design suite. TRNG is solely based on the different seeds of entropy like Jitter, and metastability was produced from Ring Oscillator, Flip Flop (FF) and other primitives

Alzheimer’s Disease (AD) is a neurological disorder that destroys memory and other significant mental functions. One of the most accurate methods to identify the disease-causing genes is to monitor gene expression values in various samples. Selecting significant genes for classification is important in gene expression studies. In this study, the experimental data are taken from the gene expression