Computer-aided patient health monitoring is vital in clinical practices. In regard to this, the body wearable sensor nodes and health-related data collection through these sensor nodes are playing a significant role in the recent past. The sensor networks built upon these body wearable sensor nodes are critical due to the delay sensitivity of the data collected and transmitted in these networks. In

Main disputes of digital integrated circuits testing are increasing test data volume and test power. The proposed encoding schemes are a combination of nine coded and selective pattern compression, Alternate Variable Run length code to reduce test data volume. The test cubes are divided into multiples of 8, 16, 32, and 64 blocks to upsurge the relationship among the successive test patterns which offers

A hotel intelligent guidance system based on ZigBee technology was designed, which was mainly composed of a portable handheld module and a guidance module installed in guestroom corridor. Room guidance data stored in the guidance module are updated and transmitted by the ZigBee network. When users carrying the handheld module approach to guestroom corridor, ZigBee, with the stable function of ad hoc

The device scaling restricted due to the limitation of the subthreshold swing of the MOS transistor, which is not less than 60mV/dec. The researchers are concentrating more on power efficient techniques for advanced, more featured, electronic systems. In place of MOS transistor, which is homojunction, if a heterojunction transistor with low bandgap materials used, the subthreshold swing of the transistor

The multimedia processor is the most powerful and challenging application in real-time world where Hardware Trojans (HTs) is a significant threat in most of the electronic devices which use Integrated Circuit (IC) as a crucial component. Since IC is manufactured by most of the untrusted designers, there is a possibility of inserting malicious attacks in any stages of fabrication. It is mainly added

The Standard (conventional) adaptive algorithms exhibits low convergence rate and minimum noise suppression, or else the system becomes unstable under Gaussian and non-Gaussian (impulsive noise SαS distributions) noise environments. In order to overcome the drawback of traditional algorithms (i.e., to eliminate unwanted noise), the popular algorithm Filtered Cross Minimum Square (FxLMS) is used in

The astonishing development in the field of artificial neural networks (ANN) has brought significant advancement in many application domains, such as pattern recognition, image classification, and computer vision. ANN imitates neuron behaviors and makes a decision or prediction by learning patterns and features from the given data set. To reach higher accuracies, neural networks are getting deeper

In Today's scenario of Public Transportation, Railway is substantially famous and commonly adopted technology for comfortable conveyance. One of the significant concern in traditional network is exploitation of line frequency transformer as these are too bulky owing to the nature of low operating frequency. Searching for the solution, the researchers have found that the high frequency Transformer (HFT)

Silent Data Corruptions (SDCs), those errors that escape detection methods, are critical for system designers because they may result in systems failures. In order to catch SDCs, mechanisms should focus on the behavioural aspects of errors in addition to their physical location or error patterns. Therefore, protection codes like parity, hamming, and the Reed-Solomon code, which heavily depend on the

This paper presents a comprehensive software-based technique that is capable of detecting soft errors in embedded systems. Soft errors can be categorized into Control Flow Errors (CFEs) and data errors. The CFEs change the flow of the program erroneously and data errors also change the results. In this paper, a new comprehensive method is presented to detect both (based on combination of authors’ previous

While energy consumption is the primary concern for the design of real-time systems, reliability and Quality of Service (QoS) are becoming increasingly important in the development of today’s pervasive computing systems. In this paper, we present a reliability-aware energy management (RAEM) scheme for minimizing the energy consumption for (m, k)-constrained real-time systems, which requires that at

The potential applications for drones, especially those in manned areas or into non-segregated airspace, are currently not possible without the development and validation of certain key enabling technologies: “detect and avoid”, “air traffic management”, “command and control (C2) link”, and “security and cyber resilience”. This issue has a high impact on European innovation as identified by SESAR JU

Programming heterogeneous multiprocessor architectures combining multiple processor cores and hardware accelerators is a real challenge. Computer-aided design and development tools try to reduce the large design space by simplifying hardware-software mapping mechanisms. However, energy consumption is not well supported in most of design space exploration methodologies due to the difficulty to estimate

The most crucial Infrared (IR) cameras provide temperature-sensitive images and chest vascular transitions. Hotspots can be used to emphasize that these images reveal new subtle changes due to pathology. The resulting images show clusters that appear to vary in shape and spatial distribution but carry class dependent information. Automated sensing techniques are challenging because of the location

Today's world has witnessed the accumulation of data through social media like Twitter and Facebook, which have been growing enormously day by day. Using these social media, users tweet or post on many topics from anyplace in the world through the Internet. Tweets are used to analyze positive and negative messages to drive polarity scores and also to predict future trends. These polarity scores could

The Implementation of non-linear Activation Functions (AFs) within the Artificial Neural Network (ANN) on the Field Programmable Gate Array (FPGA) is substantial due to the various applications it performs. Accuracy, speed and complexity are the most crucial factors considered in this implementation. Building non-linear AFs in a reconfigurable ANN requires either sequential operations and/or additional

Inspite of progressive growth of cryptography, encrypting sensitive information of an image is still a computationally complex task. After reviewing existing literature, it is now known that security problems are yet not solved and there is an open scope of further research. In most recent times, it has been noticed that neural network has proven cost effective optimization mechanism in offering security

Deep learning and, in particular, convolutional neural networks (CNN) achieve very good results on several computer vision applications like security and surveillance, where image and video analysis are required. These networks are quite demanding in terms of computation and memory and therefore are usually implemented in high-performance computing platforms or devices. Running CNNs in embedded platforms

In embedded graphics systems, the graphics processing unit (GPU) also consumes significant amount of frame buffer memory bandwidth. Frame buffer compression is widely adopted to alleviate both memory bandwidth and power consumption issues for the display controller, but rarely has it been applied to addressing GPU’s consumption. This paper proposes a real-time fixed-ratio frame buffer compression technique

This paper proposes a novel dual bridge asymmetric cascaded multilevel inverter to produce 21 level output which requires twelve switches and three sources only when compared with the conventional topologies such as multilevel DC link (MLDCL) and dual H-bridge (DHB). The successful working of the projected topology is validated by carrying out the simulation in MATLAB/Simulink. Modified GWO based PI

Embedded processors rely on the efficient use of instruction-level parallelism to answer the performance and energy needs of modern applications. Though improving performance is the primary goal for processors in general, it might lead to a negative impact on energy consumption, a particularly critical constraint for current systems. In this paper, we present SoMMA, a software-managed memory architecture

In recent years, the interest in probabilistic real-time has grown, as a response to the limitations of traditional static Worst-Case Execution Time (WCET) methods, in performing timing analysis of applications running on complex systems, like multi/many-cores and COTS platforms. The probabilistic theory can partially solve this problem, but it requires strong guarantees on the execution time traces

The signature verification is broadly used for personal identification. The person is identified automatically using signature verification method to avoid forgery persons. The signature verification is classified into the static method and the dynamic method. The static verification method is based on stored images and the dynamic verification method is based on dynamic features of the signature.

Timely detection of Hardware Trojans (HTs) has become a major challenge for secure integrated circuits. We present a run-time methodology for HT detection that employs a multi-parameter statistical traffic modeling of the communication channel in a given System-on-Chip (SoC), named as SIMCom. The main idea is to model the communication using multiple side-channel information like the Hurst exponent

The output of renewable energy is the power of low voltage and high current rated designs. Due to the output voltage being too low it does not meet the required maximum voltage load requirements. Therefore, in order to meet the high voltage load, the required limit of the power converter (DC-DC) is used to increase the voltage to the maximum. . The DC output voltage from a renewable energy source is

A method is proposed for probabilistic testability analysis of digital circuits focusing on calculating the probabilistic controllability measures in terms of signal probabilities with the goal of assessment of pseudorandom test quality in digital circuits. The structure of the circuit is modeled as a macro-level network, where macros denote Fan-out-Free Regions (FFRs) of the circuit, which are represented

Modulation Index (MI) variant sinusoidal-pulse-width-modulation (SPWM) is desirable for converter applications in maintaining output voltage under variable input and load environments. Enabling a high-speed switching and resolution, field-programmable gate-arrays (FPGAs) have been dominating in digital control of power electronics. This paper proposes an FPGA-based high-frequency high-resolution digital

In this article, we propose a scheduling based temperature and power-aware heuristic for multi-core systems. Instead of using a fixed value of temperature threshold in load balancing techniques, the proposed heuristic suggests adjusting the value of threshold temperature as a function of the workload. As the workload reduces, the value of the threshold is lowered accordingly and vice versa. Lowering

Gait deviations such as asymmetry are one of the characteristic symptoms of motor dysfunctions that contribute to the risk of falls. Our objective is to measure gait abnormalities such as asymmetry of the lower limbs in order to evaluate the diagnosis more objectively. For the measurement we use inertial measurement unit (IMU) sensors and force sensors, which are integrated in wristbands and insoles

One of the main factors used to analyze the performance of microstrip patch antennas in Android-based mobile applications, rather than licensing-based antenna design software due to its cost-effectiveness. It can be used to develop significant mobile applications to calculate the gain, return loss, and efficiency in different types of microstrip patch antenna with various input parameters. A literature

Emotion detection from facial expression has been well studied. There are numerous techniques has been discussed for the accuracy of emotion detection, however the methods suffer with higher false classification ratio. Towards the development of emotion detection, a novel region based multi feature similarity approach has been presented in this article. Considering, shape and geometry measure alone

The technological advancements have led to evolution of sophisticated devices called smartphones. By providing extensive capabilities, they are becoming more and more popular. The Android based smartphones are preferred furthermore, due to their open-source nature. This has also led to the development of large number of malwares targeting these smartphones. Thus to protect the devices, some countermeasures

In this paper, an efficient image codec is proposed using Magnetic Resonance Images (MRI). During the past few years, frequency domain analyzes such as Discrete Cosine Transform and Discrete Wavelet Transform (DWT) have been widely used in the field of image compression due to their well localized property of its coefficients in both frequency and space domain. This work also deals with image compression

Design of adder plays a major role in deciding overall performance of system as it is a major building block through generations of design in an innovative design of circuits. In VLSI system and signal processing field applications, various versions of adders are utilized. In applications of signal processing, in recent days, major role is contributed by Finite Impulse Response (FIR) filter. Various

Cyber Physical Systems (CPS) integrate physical processes with electronic computing devices and digital communication channels. Their proper operation might be affected by two main sources of abnormality, security attacks and failures. The topics of fault diagnosis and security attack analysis in CPS have been studied extensively in a stand-alone manner. However, considering the co-existence of both

Switched Reluctance Motor (SRM) are widely used in drives market because of its elegant features such as simple arrangement, manufacturing cost, minimal maintenance and wide speed range. Significant investigation has been conducted to lengthen the feasibility of SRM drive technologies in various aspects such as control strategy, torque ripple minimization, an optimal winding arrangement, etc. Even

A probability-based sigmoid function approximation (P-SFA), which is based on piecewise linear function and neuron's values statistical probability distribution in each layer, is proposed to lower the complexity of neural network hardware implementation with only addition circuit. The sigmoid function is divided into three fixed regions, and the number of sub-regions with different sizes in each fixed

One common technology for underground object detection is Ground Penetrating Radar. For landmine detection, it is vital to have a fast and accurate method. It becomes more difficult when it comes to online detection. A fast and low power consuming algorithm needs to be developed for better CPU performances. This paper uses synthetic data from GprMax program and proposes a 3-step method to locate and

The paper deals with design of Cascaded H-Bridge Multilevel Inverter (CHB-MLI) with separate DC source to each inverter using multiple carrier Phase Disposition PWM such as symmetric disposition, phase opposition disposition and alternative phase opposition disposition to reduce the Total Harmonic Distortion (THD) and to improve the power quality of the supply voltage and current. In early days, the

Demand of Very Large Scale Integration (VLSI) circuits with very high speed and low power are increased due to communication system's transmission speed increase. During computation, heat is dissipated by a traditional binary logic or logic gates. There will be one or more input and only one output in irreversible gates. Input cannot be reconstructed using those outputs. In low power VLSI, reversible

Quantum-dot Cellular Automata (QCA) is an emerging nanotechnology with remarkable performance and energy efficiency. Computation and information transfer in QCA are based on field forces rather than electric currents. As a consequence, new strategies are required for design automation approaches in order to cope with the arising challenges. One of these challenges is the transport of information, which

The blackouts in the power grid are forced to premonitor the conditions of the grid. Phasor Measurement Units (PMU) have become highly inevitable in the Wide Area Measurement System (WAMS). Continuous measurement of current and voltage phasors has become more reliable owing to very high stability showcased by Non-recursive DFT algorithm. Design and Modelling of PMU are implemented both in software

IoT provides a platform for every device to be connected by means of a stable internet connection. The interoperability of the devices helps to communicate and exchange data between one another and increases the power consumption of devices. When creating a new IoT system or rebuilding the existing ones, the low power circuit design is considered as an essential factor. In the low power circuit design

This paper deals with Landsman Converter (LC) based Multilevel Inverter (MLI) fed induction motor. This work proposes Landsman converter between DC-source &inverter. This effort considers closed loop response of Landsman-converter-multilevel-inverter-system (LCMLI) with PI, Fractional Order PID controller (FOPID), Proportional Resonant (PR) &Hysteresis Controller (-HC). The-purpose of the recommen

This research propose a VLSI based temperature to digital converter (TDC) which is implemented with the aid of CMOS technology whose precise functionality is to sense the temperature-dependent source-gate voltage (VSG) of PMOS Transistor. It measures an inaccuracy of ± 40 mK on 20 samples from one batch ranging between −60 ◦C to +60 ◦C temperature. This result is mainly due to the generation of pmos

Multiplication is a fundamental operation in most signal and image processing applications. In this paper, a new architecture for a Vedic multiplier implementing ‘Urdhava-tiryakbhyam’ methodology is proposed. The presented architecture is completely modular and is conceived to be implemented in model-based designs where the configurability is of utmost importance. This architecture is prone to be implemented

Recent innovation in Internet of Things (IoT) is viewed as a fundamental base for power electronics converters. IoT gadgets have characteristically restricted responsiveness that may not be sufficient period for basic signal generators with stringent requests on correspondence delay. Practically denoted, it remains a remarkable issue to consolidate IoT innovation with existing grids. This paper demonstrates

Large steam turbines used for electrical power generation demand governing systems of very high integrity (safety) and availability. The latest generation of electronic governors uses microprocessors in a distributed, two level architecture to achieve the required integrity and availability and in addition provides greater configuration flexibilities and wider facilities than earlier governors. Rolling

The health monitoring of induction motor is considered as a developing technology for online detection of faults that actually even take place at initial stage. In the current paper, an embedded system has been designed and simulated to simulate two major faults namely broken rotor bar fault and abnormal gear teeth fault. An extensive review of induction machine faults, diagnostic techniques of induction

Electroencephalography is one of the important medical methods to evaluate and treat neurophysiology to combat disease related to seizure. The automatic seizure detection system aims to provide a balanced mechanism by excavating deep knowledge of the basic signal and kinetic domains. Contingent alert is given to initiate treatment to reduce the risk of injury in patients with epilepsy and to overcome

Power quality is considered to be the major challenging one in the realization of the smart grid. So as to compensate for the issues occurring in power quality, active power filter (APFs) is mainly chosen as they are capable of filtering fast and has some active compensation. Also, load current related power quality constraint can be solved, such as unbalanced power, huge (Total harmonic distortion)

Pattern classification applications can be found everywhere, especially the ones that use computer vision. What makes them difficult to embed is the fact that they often require a lot of computational resources. Embedded computer vision has been applied in many contexts, such as industrial or home automation, robotics, and assistive technologies. This work performs a design space exploration in an

Field-programmable gate arrays (FPGAs) have travelled far from just being utilized as glue logic to an entire system solution. This is mostly due to their generalized re-configurable nature, lower non-recurring engineering (NRE) expense, and also fast time to market. Owing to the reconfigurable nature of FPGA, a new field called reconfigurable computing that can change the circuit configuration after

This paper presents a design and development of Multi Sector Space Vector Pulse Width Modulation scheme (MS-SVPWM) for the speed control of brushless direct current (BLDC) motor drive. This control scheme is developed to enhance the performance of BLDC under wide range of speed and load variation. The hardware prototype is developed for 400 W, 30 V, 3000 rpm BLDC motor. The drive consists of uncontrolled

This research work focuses to put forward a novel inverter topology of multilevel voltage output. The presented topology is devised by means of switched-capacitor technique (SCT) and switched-capacitor cells count is decided by output levels quantity. In the technique introduced, SCT inverter is in a flexible configuration and has the capability to self-balance the capacitor's voltage with no use of

Since their appearance, programmable logic controllers (PLCs) are massively and predominantly used as the central controller in automation systems. Unfortunately, due to the poor performance of the majority of these devices, the typical role of PLCs in automation systems becomes restricted to a simple controller, since applications with more sophisticated computational requirements tend to be handled

This paper analyses and rectifies the shortcomings of reversible contrast mapping (RCM) algorithm for invisible watermarking. The proposed corrected RCM algorithm is tested by taking a gray scaled video input. The quality of services and structural similarity index matrix (SSIM) of each frame of the input video are tested in software environment. The video is obtained by OV7670 camera through Zed-board

Research on FPGA controlled three phase Photovoltaic (PV) inverter using Multi-Carrier Pulse Width Modulation (MC-PWM) is presented in this article. In this proposed work, reduced active switching count, transformers, Single DC input (SDC), modular topologies and redundancy are key advantages. The proposed three-phase five level Multilevel Inverter (MLI) with SDC source using three-phase transformer

Advances in computer vision have led to the development of promising solutions for challenging problems in agriculture. Fruit grading and sorting are complex problems which require a great deal of human expertise. In this paper, we propose a non-destructive system for sorting and grading tomatoes, which is confounding even for expert human sorters. The proposed system performs classifications of tomatoes

Web services playing a vital role in the World Wide Web and generates huge amount of information across various domains of internet. Due to this evolution data in the form of articles, reports, digital galleries and web data of companies were increased everyday. To handle the huge volume of data each and every day, automatic query classification based on internet is more significant method. Research