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In the process of complex product design, modeling in different fields and different disciplines is often involved. Designers often face many different development kits, platforms, and theories, among which significant differences exist. Especially in the process of algorithm-hardware implementation, it is necessary to have mastery of the knowledge including algorithm, hardware, circuit, and system engineering. In this paper, a modeling method of algorithm-hardware based on SysML is proposed to reduce the difficulty of algorithm-hardware modeling. By using the method, the designers who do not know the knowledge of hardware can also easily build the algorithm-hardware model. In this method, a method of graphical system modeling based on SysML is used, where the elements of the algorithm-hardware model are described by SysML graphical models. Then, the SysML graphical models are converted to Very-High-Speed Integrated Circuit Hardware Description Language. At last, a detecting algorithm of random number is complemented by the modeling method in this paper and the simulation results are presented at the conclusion. [ABSTRACT FROM AUTHOR]

A simple circuit based on modified extra-X second-generation current conveyor (MEXCCII), which is capable of realizing the following grounded immittance functions: a lossless capacitor, a lossy capacitor, a lossy inductor and a lossy frequency-dependent negative conductance, is introduced in this paper. The circuit employs one MEXCCII and three passive components. The use of single active block makes the circuit structure simpler. No component's matching constraint is needed in the proposed circuit. The nonideal study of the proposed grounded immittance circuit is also included. The circuit's performance is examined using 0.18- μ m technology-based PSPICE simulations. Experimental results which are performed using off-the-shelf integrated circuits (ICs) and bread board are also included. The proposed circuit is negligibly affected by the temperature variation and process variation. A single pole high-pass filter as an application of the realized lossy capacitor and a band-pass filter as an application of the realized lossy inductor are also presented in this paper. The realized filters offer the feature of ease of cascadability. [ABSTRACT FROM AUTHOR]

Currently, static circuit power is becoming a major concern, dominating the total power consumption due to the scaling down of CMOS technology. The smaller sizes drastically affect the leakage current, which integrated circuit designers attempt to overcome this issue. Hence, several methods and technologies have been proposed to prevail this phenomenon. One of these methods is using memory structures in logic designs. A Hybrid MTJ/CMOS circuit is one of these promising techniques to design low-power nonvolatile circuits with power gating ability and low overhead for reconfigurable possibilities. In this paper, we have proposed a fully nonvolatile, low-power Full-Adder based on MTJs that uses the spin transfer torque method assisted by the spin hall effect. Simulation results of these designs by HSPICE show that they can work fast with low-power consumption compared to other state-of-the-art nonvolatile full-adders. [ABSTRACT FROM AUTHOR]

The design complexity and outsourcing trend of modern integrated circuits (ICs) have increased the chance for adversaries to implant hardware Trojans (HTs) in the development process. To effectively defend against this hardware-based security threat, many solutions have been reported in the literature, including dynamic and static techniques. However, there is still a lack of methods that can simultaneously detect and diagnose HT circuits with high accuracy and low time complexity. Therefore, to overcome these limitations, this paper presents an HT detection and diagnosis method for gate-level netlists (GLNs) based on different machine learning (ML) algorithms. Given a GLN, the proposed method first partitions it into several circuit cones and extracts seven HT-related features from each cone. Then, we repeat this process for the sample GLN to construct a dataset for the next step. After that, we use K-Nearest Neighbor (KNN), Decision Tree (DT) and Naive Bayes (NB) to classify all circuit cones of the target GLN. Finally, we determine whether each circuit cone is HT-implanted through the label, completing the HT detection and diagnosis for target GLN. We have applied our method to 11 GLNs from ISCAS'85 and ISCAS'89 benchmark suites. As shown in experimental results of the three ML algorithms used in our method: (1) NB costs shortest time and achieves the highest average true positive rate (ATPR) of 100%; (2) DT costs longest time but achieve the highest average true negative rate (ATNR) of 98.61%; (3) Compared to NB and DT, KNN costs a slightly longer time than NB but the ATPR and ATNR values are approximately close to DT. Moreover, it can also report the possible implantation location of a Trojan instance according to the detecting results. [ABSTRACT FROM AUTHOR]

This paper suggests a new operational transconductance amplifier (OTA) based electronically tunable transimpedance-mode first-order universal filter (FOUF). The suggested FOUF produces all-pass (AP), high-pass (HP) and low-pass (LP) filter responses simultaneously. It employs three OTAs, two grounded resistors and only one grounded capacitor. Owing to use of grounded passive elements, the suggested FOUF is suitable for integrated circuit implementation. It operates at low power supply voltages. Additionally, the resonance frequency of the suggested AP filter can be adjusted in a wide frequency range. However, the suggested FOUF consists of only one matching condition. Moreover, a sinusoidal quadrature oscillator (QO) application that is derived from the suggested FOUF topology is given. The suggested FOUF and its QO application are simulated by using 0.18- μ m TSMC technology parameters in the SPICE program to validate the presented theory. Finally, an experimental test is performed to demonstrate workability of the suggested AP filter. [ABSTRACT FROM AUTHOR]

With the development of system engineering and related technology, modeling and simulation of complex systems need to include many disciplines, modeling languages, simulation environments, etc. By using unified modeling language to build models, barriers among different fields can be broken; the efficiency of model integration can be improved. Generally, a complex system contains some integrated circuit modules, which can be used for control or calculation of the system. Compared with system model, integrated circuit model is more fine-grained and lower-level and contains logic for control and algorithms. Thus, a method that modeling integrated circuit by unified modeling language is necessary. In this paper, a unified modeling language is introduced, called X language, and a modeling method of algorithm-hardware based on the X language is proposed. First of all, the hardware characteristics of the Kalman filter algorithm are extracted by analyzing the algorithm. Second, X language models are built to describe the algorithm-hardware. Then, the X language models are converted to Very-High-Speed Integrated Circuit Hardware Description Language (VHDL). Finally, the algorithm-hardware models are simulated and verified. The results show that the algorithm-hardware modeling method based on X language is feasible. [ABSTRACT FROM AUTHOR]

Electrical engineering models often rely on complex circuit configurations that facilitate the dynamic flow of electrically charged particles within a closed conductive network. These circuits serve as essential tools for simulating and analyzing diverse electrical systems and components. This paper introduces a study on nonlinear fractional circuits modeling through the development of a stochastic neuro-computational artificial intelligent-based solver to address mathematical models governing the Fractional order Caputo–Fabrizio stiff electric circuit model (FO-CFSECM) by manipulating the knacks of layered recurrent neural networks (LRNNs) trained with Gradient-based local search algorithm (GLA). In fractional calculus, the Caputo–Fabrizio (CF) fractional order derivative (FOD) emerges as a powerful instrument, binding its capabilities to deliver remarkably accurate solutions for fractional stiff systems. The objective of this work is to exploit the numerical treatment comprehensively for the dynamics of fractal Resistor–Capacitor (RC) and fractal Resistor–Inductor (RL) circuit models by introducing the CF fractional operator. Through the application of artificial intelligence-based soft computing and advanced back-propagative deep neural networks, a deeper understanding of the behavior and distinctive characteristics inherent in these models is sought. The Levenberg–Marquardt optimizer serves as an efficient training GLA tool for learning of LRNNs weights of fractal RL/RC circuit models. The comparative studies on variants of FO-CFSECM demonstrate that LRNNs achieve an impressive mean square error (MSE) ranging from 10−9 to 10−19 and absolute error (AE) within 10−6 to 10−8. The accuracy, reliability, and efficiency of LRNNs for solving the FO-CFSECM were further validated through MSE, AE, controlling parameters of state transitions, error histograms, and correlation measures. [ABSTRACT FROM AUTHOR]

Full adders are a core component and play an essential role in the design of contemporary very-large-scale integration (VLSI) integrated circuits. Low-power, high-speed adder design has been the subject of numerous different sorts of research. The never-ending process is still in progress. The saturation point for MOS-based VLSI circuit design has been reached. As a consequence, many additional issues arise when MOS devices are scaled down to the nanoscale range, including an increase in leakage power and a vulnerability to PVT variation. Hence, MOSFET alternatives have been looked after by VLSI industries. Future nanoscale VLSI circuits would benefit greatly from the use of FINFETs in place of MOS transistors. In this paper, two diode-connected transistors-based low power, high speed, and low-power–delay product (PDP) adiabatic logic full adders are proposed using 7 nm technology. DCT TSAA-I, DCT TSAA-II, DCT TCAA-I, and DCT TCAA-II are the names of the proposed structures. Power, speed, and power–delay product (PDP) performance of the proposed adders are compared with those of traditional full adders. According to the simulation outcomes, the proposed adder architectures offer the least PDP in comparison to the adders taken into consideration. On power and delay, the impact of changing variables like temperature, supply voltage, load capacitance, and frequency is seen. A 7 nm FINFET model has been used in the simulations, which were conducted using the Hspice simulation tool. [ABSTRACT FROM AUTHOR]

Tunability of correlated color temperature (CCT) and dimmability are the two major sought after features of functional solid-state lighting. This paper presents a low-cost, efficient, single-inductor-dual-output buck driver that facilitates CCT-control and dimming of a light emitting diode (LED) module composed of cool-white and warm-white chips. The proposed driver is designed based on two familiar integrated circuits (ICs), namely LM2596 and NE556. LM2596 serves as the main switching regulator and amplitude modulation (AM) controller whereas NE556 serves as the constant-frequency, dual-output pulse-width-modulation (PWM) controller. The exponential model of LED is exploited for improved estimation of the design parameters of the LED module and the driver circuit. The developed driver prototype is tested for its electrical, photometric, and colorimetric performances. The driver offers a full-load efficiency of about 90% for a 12-W test LED module. Under different operating modes, the LED system can produce warm, cool, or neutral white light and at the same time, the produced illuminance can be varied over a wide range. Moreover, the light flicker is imperceptible since the PWM frequency is set according to IEEE-1789 guideline. [ABSTRACT FROM AUTHOR]

Side-channel attacks (SCAs) are powerful noninvasive attacks that can be used for leaking the secret key of integrated circuits (ICs). Numerous countermeasures were proposed to elevate the security level of ICs against SCAs. Unfortunately, it is quite inconvenient to predict the security levels of these countermeasures since no solid mathematical model exists in the literature. In this paper, neural network (NN)-based entropy is proposed to model the resilience of a system against SCAs. The NN-based entropy model well links the side-channel leakages and probabilities with the neurons and weights of NNs, respectively. In such a circumstance, the NN-based entropy can be used for modeling the robustness of countermeasures since a one-to-one relationship is established between the NN-based entropy and the measurement-to-disclose (MTD) enhancement ratio related with the countermeasures. As demonstrated in the result, the proposed NN-based entropy metric shows 100% consistency with the MTD enhancement ratio if multiple SCA countermeasures are employed into a system. [ABSTRACT FROM AUTHOR]

First-order allpass filters are analog filters with a unit magnitude response, but they change the phase shift between input and output signals at various frequencies. This paper presents the transadmittance-mode first-order allpass filters based on the modified current-controlled current differencing transconductance amplifier (M-CCCDTA). The proposed filters utilize a single M-CCCDTA and a grounded capacitor with no external resistors, making them well suited for implementation in an integrated circuit. The gain and phase response of the proposed filters can be adjusted electronically and separately. Also, the high output impedance of the proposed filters at both the input voltage node and the output current node makes cascading easy without the need for buffer devices. A quadrature sinusoidal oscillator based on the proposed first-order allpass filter has been designed as an example of an application. The PSpice simulation and actual experiments are utilized to validate the functionality of the proposed filters. The simulation and experimental results are consistent with the idea of anticipation. [ABSTRACT FROM AUTHOR]

Improved speed, reduced delay, reduced size and reduced power are the most important requirements of integrated circuits. The carry select adder (CSA) is one of the most important adders in most data processors for performing arithmetic operations. The speed of parallel adders can be enhanced CSA, which widens the area to speed and eliminates propagation delays. The major problem faced in CSA is inefficient area due to the usage of multiple pairs of Ripple carry adders (RCAs) for generating the sums and carry. This research paper proposes the modified 32-bit square root carry select adder (MSCSLA) to improve the direct digital synthesizer's performance (DDS). DDS plays an effective role in the digital system due to its ability of broad frequency generation. Phase accumulator is the main component in the DDS synthesizer, where the speed of the adder is enhanced through MSCSLA. The general square root CSA still consumes more power due to the assembly of more RCAs. Hence, in the proposed approach, certain sets of RCAs are replaced with BEC1 (Binary to excess 1 convertor) to improve the speed and reduce the delay of the adder. Finally, the continuous sinusoidal waveform is attained by attenuating the high-frequency components by adopting a low pass filter. The entire structure of DDS is designed using Xilinx Verilog coding. The Simulation result shows better outcomes in terms of area, delay, power, and high performance in the DDS synthesizer compared to the existing CSAs. When compared to the existing adders, the area occupied by the proposed MSCSLA model is attained to be 636 μ m2, the power is achieved as 50.125 μ W and delay is attained to be 1.280 ns, which are comparatively less. When comparing delay and maximum frequency with the existing techniques, the proposed model obtained minimum delay and maximum frequency. The overall power consumption by the proposed model is also attained to be lower than the existing techniques. [ABSTRACT FROM AUTHOR]

In this paper, Pseudo-Boolean Satisfiability (PB-SAT)-based congestion reduction and overflow minimization techniques are introduced for constructing congestion-aware rectilinear Steiner trees for global routing in IC design. Since congestion in different routing channels is a big issue in routing nets, various congestion minimization approaches have been proposed by many researchers. However, the increasing complexity of integrated circuits and the reduction of their size make the congestion problem more complicated. The proposed method can produce a congestion-free routing solution by generating a suitable rectilinear Steiner tree for circuit nets. To reduce the complexity of the problem, the nets are solved individually using a Minimum Bounding Box (MBB)-based heuristic technique. The algorithm is validated by utilizing the well-known ISPD 98 global routing benchmarks. Experimental results prove that the methodology is capable of routing most of the nets within the given routing capacity satisfying all the routing parameters. The results also show that the algorithm can produce congestion-aware Steiner trees efficiently within a nominal time-bound. [ABSTRACT FROM AUTHOR]

The ancient Vedic mathematics is well known for quicker handy multiplications but its recognition as an integrated circuit core against existing hardware multipliers is not established. As optimized hardware implementation of binary multiplier is one of the prominent unsolved problems in computer architecture, this paper proposes efficient Urdhava Tiryakbhyam Vedic multiplier architecture and compares it with the set of hierarchical multiplication algorithms which generate multiplication result in a single clock cycle. Two innovative algorithms are proposed here, one with a compact structure and another for faster execution. Also, its optimized transistor level layout is designed and implemented. To maintain homogeneity for comparison, all the algorithms are programmed on a common HDL language platform and analyzed with the same tool and technology. Final results indicate that the proposed architecture delivers 15.5% less power delay product (PDP) compared to closest competitor algorithm. [ABSTRACT FROM AUTHOR]

In the analog and mixed-signal integrated circuits, voltage references that are independent of various factors such as temperature drift, noise, supply voltage, etc., and efficient in terms of power as well as area, are highly in demand to improve the efficiency of the overall circuits. Voltage references are one of those circuits that have applications in both high-power systems and low-power system-on-chip (SoC) designs for wireless connectivity like the internet of the things (IoT) or the internet of the medical things (IoMT). They are responsible for providing a stable bias or reference voltage. Thus, voltage reference influences directly or indirectly the performance of these systems. A comparative study between the techniques used in bandgap voltage references and CMOS voltage references, in terms of performance parameters such as line sensitivity, output noise, PSRR, temperature coefficient, etc., is presented in this paper so that we can choose the voltage references as per the applications and environment. [ABSTRACT FROM AUTHOR]

This paper presents a scalable Fully-digital differential analog voltage comparator designed in Semi-Conductor Laboratory (SCL) 180 nm complementary metal-oxide semiconductor technology. The proposed design is based on a digital design approach and is easily configurable to lower technology nodes. This design methodology makes the circuit less sensitive to process variations and takes fewer design efforts suitable for Systems-on-a-Chips (SOCs) application. The proposed circuit is designed and simulated in Cadence Virtuoso Analog Design Environment at the supply voltage ranging from 1 V to 1.8 V. The fully-digital analog voltage comparator has been synthesized using Synopsys Design Vision and auto-placed & auto-routed using Synopsys IC Compiler. This proposed comparator has a resolution of up to 7-bit at a supply voltage of 1.8 V and a worst-case operating frequency of about 750 MHz at the TT corner. The obtained value of the offset voltage and delay is 0.55 mV and 0.72 ns, respectively. The simulated results have shown that the power dissipation of the proposed scalable analog voltage comparator is 1 5 0 μ W @ 1 V and 3 1 2 μ W @ 1. 8 V supply voltage, respectively. Also, the RC extracted post-layout simulations have been implemented to verify the performance, which does not affect the results much. [ABSTRACT FROM AUTHOR]

In this research paper, a simple design of an ultra-wideband (UWB) multi-input multi-output (MIMO) antenna with low envelope correlation coefficient (ECC), high isolation, enhanced gain, radiation efficiency and reconfigurable band notching functionality is proposed. Two symmetrical slots are carefully integrated into the partial ground plane of the conventional monopole to provide a notched band at 5.8 GHz for the WLAN system. This notching method is simple and does not endure negative effect performance or any design complexity. The notched band is then controlled using PIN diodes. A complete biasing circuit is integrated on the same partial ground plane to bias the PIN diodes in forward and reverse directions. To reduce the complexity of the design that may be increased due to the reconfiguration circuit, isolation enhancement is accomplished by orthogonal placement of the elements rather than using any additional decoupling structures. A prototype of the MIMO UWB structure is fabricated and its performance parameters are experimentally tested. The captivating agreement between simulation and measurement demonstrates that the proposed antenna system is a good candidate for UWB applications with an operating band extending from 3 to 11 GHz, notch-band reconfiguration freedom, and isolation of more than 20 dB. [ABSTRACT FROM AUTHOR]

This paper introduces the experimental results obtained after processing an electrocardiographic signal by a full-custom, low-complexity, Sigma-Delta Modulator integrated circuit, designed and fabricated using the C5N CMOS technology available through MOSIS. By exploiting a large oversampling ratio, it was possible to obtain an effective number of bits equal to 11 at the proposed single-bit modulator's output. The resulting bitstream was captured with a logic-state analyzer and processed offline. After decimation and digital filtering, the electrocardiographic signal was reconstructed and plotted in the time domain. Commonly referred quality metrics over the retrieved signal were calculated. A total signal-to-noise and distortion ratio, superior to 66 dB, was achieved by analyzing the entire system. The proposed approach shows the feasibility of processing electrocardiographic signals using low-cost and straightforward CMOS technology circuits. Since the proposed converter uses a single voltage supply of 1.5 V, exhibits a power consumption of 38 μ W, and uses a silicon area of 0.052 mm2, it is suitable for single battery-operated systems on a chip. [ABSTRACT FROM AUTHOR]

As the feature sizes of integrated circuits are reduced to the nanometer scale, the total soft error rate (SER) in memory and the proportion of multiple bit upsets (MBUs) are significantly increasing. In order to ensure the information reliability, many error correction codes with strong error correction ability were proposed, such as Reed–Somolon (RS) code and Bose–Chaudhuri–Hocquenghem (BCH) code. However, these error correction codes have limited error correction capability, high algorithm complexity and large data redundancy. In this paper, a novel fault tolerance method for locating and correcting multiple bit errors in memory is proposed based on data similarity. The proposed method uses the inner product as the metric to analyze the similarity of the pre-protected data from the vertical and horizontal dimensions, respectively, and to construct the model of error location and correction. This method performs encoding and decoding in units of blocks and detecting and correcting in units of words, so it can correct any number of bits in a corrupted word with low redundancy overhead. Finally, irradiation tests were conducted on a commercial SRAM, and the feasibility of the proposed method is verified by using heavy ion 8 6 Kr 2 6 + as irradiation source. [ABSTRACT FROM AUTHOR]

In the past 20 years, semiconductor manufacturing technology has advanced rapidly, but the advancement of integrated circuit (IC) testers has been slow. Using obsolete testers to inspect advanced wafers has become a significant challenge for test manufacturers. In this research, we used DITM (digital IC testing model) to discuss the impact of the test guardband (TGB) on quality and yield. Considering the interaction between semiconductor fabrication capability parameters and test capability parameters, we proposed an estimation method [deductive estimation method (DEM)] to analyze the electrical distribution changes of products after chip production and deduce the yield of future products. The deductive estimation method can correctly depict the future test yield (Y t) curve using the chip frequency data published by IRDS (International Roadmap for Devices and Systems) in 2017. Furthermore, test manufacturers can measure whether the current test capabilities can cope with future semiconductor chip manufacturing capabilities by predicting the trends. Next, test manufacturers can maintain high-quality and high-yield chip output by pre-adjusting the hardware testing capabilities of ATE (automated test equipment) or proposing more effective chip testing methods. [ABSTRACT FROM AUTHOR]

Single Event Transients (SETs) have become a major reliability concern for integrated circuits used in critical applications. Research to improve the radiation robustness of digital circuits has been conducted, assessing all abstraction levels (from the device up to the system). This study evaluates transistor-level radiation-hardened techniques in combinational logic, such as transistor folding, sizing and reordering. In addition, the efficiency of using supergates, including series-parallel and non-series-parallel CMOS structures, to harden the combinational logic is discussed. The dependence of input signals probability on a logic cell susceptibility to SET is assessed. Moreover, a new concept of electrical masking is introduced. The robustness of the investigated logic cells was evaluated regarding their SET rate. The CREME96 tool was used to generate the SET rates, and an electrical model was used to perform particle hit simulations. Obtained results have indicated that modifying the structure of logic gates can substantially improve circuit robustness without necessarily worsening its performance. Besides, using supergates in combinational logic design has demonstrated to be a promising hardening strategy. The most robust supergate implementation of a five-input logic function provided up to 2 8. 1 % SET rate reduction regarding an approach based on standard cells, along with lower critical delay (5 6. 9 %) and average power (5 5. 6 %). [ABSTRACT FROM AUTHOR]

In order to solve the problem that the test time is long and the test efficiency is affected in the process of IC test. With the increase in the complexity of integrated circuits, it is difficult now to diagnose the faults. To overcome this situation, there is a need to upgrade the test strategies. Based on the fault probability model, the order of test types and test vector is being adjusted. To improve the test efficiency, the high-quality test types and test vectors are loaded first, and the fault circuits are hit earlier. A hierarchical dynamic method for IC test flow is proposed. The Bayesian probability model was established by counting the failure rates of each test type and each test vector in the sample integrated circuit, and the loading sequence of each test vector was adjusted according to the probability of hitting the fault point. As the test progresses, the test data are collected constantly, the test failure rates of test type and test vector are dynamically updated, and the loading sequence of test type and test vector is adjusted synchronously. It is proved that the final circuit test time is reduced to 32.172s by the dynamic adjustment method, and the test time is reduced by 53.9%. The use of dynamically adjusted test process can find the fault circuit earlier, significantly reduce the test time of the fault circuit, and improve the test efficiency. [ABSTRACT FROM AUTHOR]

A current-mode first-order filter configuration simultaneously providing noninverting and inverting low-pass (LP) and high-pass (HP) responses depending on passive element choice is proposed. In addition, all-pass filter (APF) responses can be easily obtained with interconnection of LP and HP output currents. The proposed filter employs only two differential voltage current conveyors, a grounded resistor and a grounded capacitor, so it is suitable for integrated circuit realization. It provides the feature of high output impedance. It does not need any passive element matching constraints. A voltage-mode oscillator based on the inverting APF is presented as a typical application. The performance of the proposed configuration is verified through many SPICE simulation and experimental test results. [ABSTRACT FROM AUTHOR]

Physical Unclonable Functions (PUFs) are considered to be a promising technology that provides a hardware root-of-trust for integrated circuit (IC) applications. PUFs exploit the intrinsic process variations that map a set of challenges to a set of responses. The intrinsic process variations are caused by uncontrollable deviations in the IC manufacturing process, which are unique and random from die to die and wafer to wafer. As the PUF output is device-specific, PUFs can, therefore, be used in IC identification and authentication, and cryptographic key generation. Nevertheless, many different successful attack techniques have already revealed vulnerabilities in certain PUFs, including invasive, semi-invasive and noninvasive attacks. In this work, we survey some of the known attacks on PUFs. We also survey the countermeasures to these types of attack presented in recent literature, and finally, discuss the future challenges. Through this survey, the susceptibility of PUFs to attacks is highlighted and this information may be used to improve the quality of future PUF-based application designs. [ABSTRACT FROM AUTHOR]