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A creative concept for designing and simulating quaternary logic gates in quantum-dot cellular automata Research Articles

Alireza Navidi, Reza Sabbaghi-Nadooshan, Massoud Dousti,alireza.navidi@srbiau.ac.ir,r_sabbaghi@iauctb.ac.ir,m_dousti@srbiau.ac.ir

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11,   Pages 1441-1550 doi: 10.1631/FITEE.2000590

Abstract: Modeling systems and designing multiple-valued logic gates with QCA have advantages that facilitate theQQCA main logic gates are compared with based on carbon nanotube field-effect transistor (CNFET).

Keywords： 量子点细胞自动机（QCA）；四值逻辑；量子点细胞自动模拟器（QCASim）；四值QCA（QQCA）；四值译码器；四值门    

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Nanoscale cryptographic architecture design using quantum-dot cellular automata Regular Article

Bikash Debnath, Jadav Chandra Das, Debashis De,dr.debashis.de@gmail.com

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 11,   Pages 1578-1586 doi: 10.1631/FITEE.1800458

Abstract: The overall performance of QCA is high compared to traditional complementary metal-oxide semiconductor

Keywords： 量子点元胞自动机（QCA）；多数决定门密码学；加密；解密；纳米级路由    

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Low-power, high-speed, and area-efficient sequential circuits by quantum-dot cellular automata: T-latch and counter study Research Article

Mohammad GHOLAMI, Zaman AMIRZADEH

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 457-469 doi: 10.1631/FITEE.2200361

Abstract:

cellular automata (QCA)%29&ck%5B%5D=abstract&ck%5B%5D=keyword'> is a new nanotechnologyWe propose a new method for implementing a in QCA technology in this paper.The proposed method uses the intrinsic features of QCA in timing and clock phases, and therefore, the

Keywords： Quantum-dot cellular automata (QCA)     Quantum-dot     T-latch     T-flip-flop     Counter     Selective counter     QCADesigner    

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Nano-design of ultra-efficient reversible block based on quantum-dot cellular automata Research Article

Seyed Sajad AHMADPOUR, Nima Jafari NAVIMIPOUR, Mohammad MOSLEH, Senay YALCIN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 447-456 doi: 10.1631/FITEE.2200095

Abstract: Then, two non-resistant QCA ANG and reversible fault-tolerant ANG structures are implemented in QCA technology

Keywords： Nanotechnology     Reversible logic     Energy dissipation     Quantum-dot cellular automata (QCA)     Reversible    

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Reversible binary subtractor design using quantumdot-cellular automata Article

Jadav Chandra DAS, Debashis DE

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1416-1429 doi: 10.1631/FITEE.1600999

Abstract: In the field of nanotechnology, quantum dot-cellular automata(QCA) is the promising archetype that canhas been reported on QCA-basedreversible binary subtractors.In this paper we describethe design and implementation of a DG gate in QCA.The QCA building block of theDG gate is used to achieve new reversible binary subtractors.The proposedcircuits are designed and simulated using QCA Designer-2.0.3.

Keywords： Quantum dot-cellular automata (QCA)     Reversible logic     DG gate     Binary subtractor     Quantum cost    

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Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Strategic Study of CAE 2000, Volume 2, Issue 5,   Pages 44-50

Abstract:

New framework of knowledge representation of fuzzy language field and fuzzy language value structure is shown in this paper. Then the generalized cell automation that can synthetically process fuzzy indeterminacy and random indeterminacy and the generalized inductive logic causal model are brought forward. On this basis, the new logic indeterminate causal inductive automatic reasoning mechanism which is based on fuzzy state describing is brought forward. At the end of this paper its application in the development of intelligent controller is discussed.

Keywords： language field     language value structure     generalized cell automation     generalized inductive logic causal model     automatic reasoning     intelligent controller    

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Introducing scalable 1-bit full adders for designing quantum-dot cellular automata arithmetic circuits Research Article

Hamideh KHAJEHNASIR-JAHROMI, Pooya TORKZADEH, Massoud DOUSTI,p-torkzadeh@srbiau.ac.ir,h.khajehnasir@srbiau.ac.ir,m_dousti@srbiau.ac.ir

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1264-1276 doi: 10.1631/FITEE.2100287

Abstract: This paper represents scalable 1-bit QCA structures based on cell interaction.Our proposed s encompass preference aspects of QCA design, such as a low number of cells used, low latencyAll designs were simulated and verified using QCA Designer-E version 2.2.

Keywords： Quantum-dot cellular automata (QCA)     Full adder     Ripple carry adder (RCA)     Add/sub circuit     Multiplier    

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Two-dimensional Controllable Cellular Automata BasedPseudo Random Bit Sequence Generator

Zhu Baoping,Ma Qian,Liu Fengyu

Strategic Study of CAE 2007, Volume 9, Issue 6,   Pages 43-47

Abstract:

A novel cellular automata (CA) — two-dimensional controllable CA — is proposed in this paper.  According to characteristics of two-dimensional controllable CA,  a pseudo random generating method based on two-dimensional controllable CA with a trapezoidal structure is presented.  Simulation demonstrates that pseudo random bit sequence generator based on the two-dimensional controllable CA with a trapezoidal structure is easily implemented,  and can generate high speed bit sequence and excellent statistical properties.  This novel CA is widely used in symmetrical cryptography.

Keywords： cellular automata     pseudorandom number generators     controllable     cryptography    

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Cellular automata based multi-bit stuck-at fault diagnosis for resistive memory Research Article

Sutapa SARKAR, Biplab Kumar SIKDAR, Mousumi SAHA

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1110-1126 doi: 10.1631/FITEE.2100255

Abstract: This paper presents a group-based dynamic scheme intended for resistive random-access memory (ReRAM). Traditional static random-access memory, dynamic random-access memory, NAND, and NOR flash memory are limited by their scalability, power, package density, and so forth. Next-generation memory types like ReRAMs are considered to have various advantages such as high package density, non-volatility, scalability, and low power consumption, but has been a problem. Unreliable memory operation is caused by permanent stuck-at faults due to extensive use of write- or memory-intensive workloads. An increased number of stuck-at faults also prematurely limit chip lifetime. Therefore, a cellular automaton (CA) based dynamic stuck-at fault-tolerant design is proposed here to combat unreliable cell functioning and variable cell lifetime issues. A scalable, block-level fault diagnosis and recovery scheme is introduced to ensure readable data despite multi-bit stuck-at faults. The scheme is a novel approach because its goal is to remove all the restrictions on the number and nature of stuck-at faults in general fault conditions. The proposed scheme is based on Wolfram's null boundary and periodic boundary CA theory. Various special classes of CAs are introduced for 100% fault tolerance: (SACAs), (TACAs), and (MACAs). The target micro-architectural unit is designed with optimal space overhead.

Keywords： Resistive memory     Cell reliability     Stuck-at fault diagnosis     Single-length-cycle single-attractor cellular automata     Single-length-cycle two-attractor cellular automata     Single-length-cycle multiple-attractor cellular automata    

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A novel multiple-outlier-robust Kalman filter Research Articles

Yulong HUANG, Mingming BAI, Yonggang ZHANG,heuedu@163.com,mingming.bai@hrbeu.edu.cn,zhangyg@hrbeu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 422-437 doi: 10.1631/FITEE.2000642

Abstract: This paper presents a novel multiple-outlier-robust Kalman filter (MORKF) for linear stochastic discrete-time systems. A new is first proposed to evaluate the similarity between two random vectors from dimension to dimension. Then, the proposed MORKF is derived via maximizing a based cost function. The MORKF guarantees the convergence of iterations in mild conditions, and the boundedness of the approximation errors is analyzed theoretically. The selection strategy for the similarity function and comparisons with existing robust methods are presented. Simulation results show the advantages of the proposed filter.

Keywords： Kalman filtering     Multiple statistical similarity measure     Multiple outliers     Fixed-point iteration     State estimate    

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Binary neural networks for speech recognition Regular Papers

Yan-min QIAN, Xu XIANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 701-715 doi: 10.1631/FITEE.1800469

Abstract:

Recently, deep neural networks (DNNs) significantly outperform Gaussian mixture models in acoustic modeling for speech recognition. However, the substantial increase in computational load during the inference stage makes deep models difficult to directly deploy on low-power embedded devices. To alleviate this issue, structure sparseness and low precision fixed-point quantization have been applied widely. In this work, binary neural networks for speech recognition are developed to reduce the computational cost during the inference stage. A fast implementation of binary matrix multiplication is introduced. On modern central processing unit (CPU) and graphics processing unit (GPU) architectures, a 5–7 times speedup compared with full precision floatingpoint matrix multiplication can be achieved in real applications. Several kinds of binary neural networks and related model optimization algorithms are developed for large vocabulary continuous speech recognition acoustic modeling. In addition, to improve the accuracy of binary models, knowledge distillation from the normal full precision floating-point model to the compressed binary model is explored. Experiments on the standard Switchboard speech recognition task show that the proposed binary neural networks can deliver 3–4 times speedup over the normal full precision deep models. With the knowledge distillation from the normal floating-point models, the binary DNNs or binary convolutional neural networks (CNNs) can restrict the word error rate (WER) degradation to within 15.0%, compared to the normal full precision floating-point DNNs or CNNs, respectively. Particularly for the binary CNN with binarization only on the convolutional layers, the WER degradation is very small and is almost negligible with the proposed approach.

Keywords： Speech recognition     Binary neural networks     Binary matrix multiplication     Knowledge distillation     Population count    

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Design and analysis of carbon nanotube FET based quaternary full adders Article

Mohammad Hossein MOAIYERI,Shima SEDIGHIANI,Fazel SHARIFI,Keivan NAVI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10,   Pages 1056-1066 doi: 10.1631/FITEE.1500214

Abstract: CMOS binary logic is limited by short channel effects, power density, and interconnection restrictions. The effective solution is non-silicon multiple-valued logic (MVL) computing. This study presents two high-performance quaternary full adder cells based on carbon nanotube field effect transistors (CNTFETs). The proposed designs use the unique properties of CNTFETs such as achieving a desired threshold voltage by adjusting the carbon nanotube diameters and having the same mobility as p-type and n-type devices. The proposed circuits were simulated under various test conditions using the Synopsys HSPICE simulator with the 32 nm Stanford comprehensive CNTFET model. The proposed designs have on average 32% lower delay, 68% average power, 83% energy consumption, and 77% static power compared to current state-of-the-art quaternary full adders. Simulation results indicated that the proposed designs are robust against process, voltage, and temperature variations, and are noise tolerant.

Keywords： Nanoelectronics     Carbon nanotube FET     Multiple-valued logic     Quaternary logic    

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Stochastic Earned Duration Analysis for Project Schedule Management Review

Fernando Acebes,David Poza,José Manuel González-Varona,Adolfo López-Paredes

Engineering 2022, Volume 9, Issue 2,   Pages 148-162 doi: 10.1016/j.eng.2021.07.019

Abstract:

Earned duration management (EDM) is a methodology for project schedule management (PSM) that can be considered an alternative to earned value management (EVM). EDM provides an estimation of deviations in schedule and a final project duration estimation. There is a key difference between EDM and EVM: In EDM, the value of activities is expressed as work periods; whereas in EVM, value is expressed in terms of cost. In this paper, we present how EDM can be applied to monitor and control stochastic projects. To explain the methodology, we use a real case study with a project that presents a high level of uncertainty and activities with random durations. We analyze the usability of this approach according to the activities network topology and compare the EVM and earned schedule methodology (ESM) for PSM.

Keywords： Earned duration management     Earned value management     Stochastic project control     Duration forecasting     Uncertainty    

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Safe navigation of quadrotorswith jerk limited trajectory None

Shu-peng LAI, Meng-lu LAN, Ya-xuan LI, Ben M. CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 107-119 doi: 10.1631/FITEE.1800719

Abstract:

Many aerial applications require unmanned aerial systems operate in safe zones because of the presence of obstacles or security regulations. It is a non-trivial task to generate a smooth trajectory satisfying both dynamic constraints and motion limits of the unmanned vehicles while being inside the safe zones. Then the task becomes even more challenging for real-time applications, for which computational efficiency is crucial. In this study, we present a safe flying corridor navigation method, which combines jerk limited trajectories with an efficient testing method to update the position setpoints in real time. Trajectories are generated online and incrementally with a cycle time smaller than 10 μs, which is exceptionally suitable for vehicles with limited onboard computational capability. Safe zones are represented with multiple interconnected bounding boxes which can be arbitrarily oriented. The jerk limited trajectory generation algorithm has been extended to cover the cases with asymmetrical motion limits. The proposed method has been successfully tested and verified in flight simulations and actual experiments.

Keywords： Quadrotor     Unmanned aerial vehicle     Motion planning    

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An algorithm for identifying symmetric variables based on the order eigenvalue matrix Article

Xiao-hua LI, Ji-zhong SHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1644-1653 doi: 10.1631/FITEE.1601052

Abstract: To simplify the process for identifying 12 types of symmetric variables in Boolean functions, we propose a new symmetry detection algorithm based on minterm expansion or the truth table. First, the order eigenvalue matrix based on a truth table is defined according to the symmetry definition of a logic variable. By analyzing the constraint conditions of the order eigenvalue matrix for 12 types of symmetric variables, an algorithm is proposed for identifying symmetric variables of the Boolean function. This algorithm can be applied to identify the symmetric variables of Boolean functions with or without don’t-care terms. The proposed method avoids the restriction by the number of logic variables of the graphical method, spectral coefficient methods, and AND-XOR expansion coefficient methods, and solves the problem of completeness in the fast compu-tation method. The algorithm has been implemented in C language and tested on MCNC91 benchmarks. The application results show that, compared with the traditional methods, the new algorithm is an optimal detection method in terms of the applicability of the number of logic variables, the Boolean function including don’t-care terms, detection type, and complexity of the identification process.

Keywords： Boolean function     Symmetric variable     Boolean logic algebra system     Order eigenvalue matrix     Truth table    

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Title Author Date Type Operation

A creative concept for designing and simulating quaternary logic gates in quantum-dot cellular automata

Alireza Navidi, Reza Sabbaghi-Nadooshan, Massoud Dousti,alireza.navidi@srbiau.ac.ir,r_sabbaghi@iauctb.ac.ir,m_dousti@srbiau.ac.ir

Journal Article

Nanoscale cryptographic architecture design using quantum-dot cellular automata

Bikash Debnath, Jadav Chandra Das, Debashis De,dr.debashis.de@gmail.com

Journal Article

Low-power, high-speed, and area-efficient sequential circuits by quantum-dot cellular automata: T-latch and counter study

Mohammad GHOLAMI, Zaman AMIRZADEH

Journal Article

Nano-design of ultra-efficient reversible block based on quantum-dot cellular automata

Seyed Sajad AHMADPOUR, Nima Jafari NAVIMIPOUR, Mohammad MOSLEH, Senay YALCIN

Journal Article

Reversible binary subtractor design using quantumdot-cellular automata

Jadav Chandra DAS, Debashis DE

Journal Article

Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Journal Article

Introducing scalable 1-bit full adders for designing quantum-dot cellular automata arithmetic circuits

Hamideh KHAJEHNASIR-JAHROMI, Pooya TORKZADEH, Massoud DOUSTI,p-torkzadeh@srbiau.ac.ir,h.khajehnasir@srbiau.ac.ir,m_dousti@srbiau.ac.ir

Journal Article

Two-dimensional Controllable Cellular Automata BasedPseudo Random Bit Sequence Generator

Zhu Baoping,Ma Qian,Liu Fengyu

Journal Article

Cellular automata based multi-bit stuck-at fault diagnosis for resistive memory

Sutapa SARKAR, Biplab Kumar SIKDAR, Mousumi SAHA

Journal Article

A novel multiple-outlier-robust Kalman filter

Yulong HUANG, Mingming BAI, Yonggang ZHANG,heuedu@163.com,mingming.bai@hrbeu.edu.cn,zhangyg@hrbeu.edu.cn

Journal Article

Binary neural networks for speech recognition

Yan-min QIAN, Xu XIANG

Journal Article

Design and analysis of carbon nanotube FET based quaternary full adders

Mohammad Hossein MOAIYERI,Shima SEDIGHIANI,Fazel SHARIFI,Keivan NAVI

Journal Article

Stochastic Earned Duration Analysis for Project Schedule Management

Fernando Acebes,David Poza,José Manuel González-Varona,Adolfo López-Paredes

Journal Article

Safe navigation of quadrotorswith jerk limited trajectory

Shu-peng LAI, Meng-lu LAN, Ya-xuan LI, Ben M. CHEN

Journal Article

An algorithm for identifying symmetric variables based on the order eigenvalue matrix

Xiao-hua LI, Ji-zhong SHEN

Journal Article