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Open-Source Hardware Is a Low-Cost Alternative for Scientific Instrumentation and Research 认领 引用 被引量：14
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作者 Daniel K. Fisher Peter J. Gould 《Modern Instrumentation》 2012年第2期8-20,共13页
Scientific research requires the collection of data in order to study, monitor, analyze, describe, or understand a particular process or event. Data collection efforts are often a compromise: manual measurements can b... Scientific research requires the collection of data in order to study, monitor, analyze, describe, or understand a particular process or event. Data collection efforts are often a compromise: manual measurements can be time-consuming and labor-intensive, resulting in data being collected at a low frequency, while automating the data-collection process can reduce labor requirements and increase the frequency of measurements, but at the cost of added expense of electronic data-collecting instrumentation. Rapid advances in electronic technologies have resulted in a variety of new and inexpensive sensing, monitoring, and control capabilities which offer opportunities for implementation in agricultural and natural-resource research applications. An Open Source Hardware project called Arduino consists of a programmable microcontroller development platform, expansion capability through add-on boards, and a programming development environment for creating custom microcontroller software. All circuit-board and electronic component specifications, as well as the programming software, are open-source and freely available for anyone to use or modify. Inexpensive sensors and the Arduino development platform were used to develop several inexpensive, automated sensing and datalogging systems for use in agricultural and natural-resources related research projects. Systems were developed and implemented to monitor soil-moisture status of field crops for irrigation scheduling and crop-water use studies, to measure daily evaporation-pan water levels for quantifying evaporative demand, and to monitor environmental parameters under forested conditions. These studies demonstrate the usefulness of automated measurements, and offer guidance for other researchers in developing inexpensive sensing and monitoring systems to further their research. 展开更多
关键词 Open-Source Hardware Arduino Microcontrollers Sensors Datalogger
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Neurodynamic Optimization Approaches With Fixed-Time Convergence for Nash Equilibrium Seeking:Theory and Hardware Experiment 认领 引用
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作者 Xingxing Ju Xinsong Yang +2 位作者 Chuandong Li Gang Feng Daniel W.C.Ho 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第3期704-714,共11页
The convergence rate is one of the key performance measures for Nash equilibrium(NE)seeking strategies.In this work,we present several novel fast decoupled/coupled time-varying neurodynamic optimization approaches wit... The convergence rate is one of the key performance measures for Nash equilibrium(NE)seeking strategies.In this work,we present several novel fast decoupled/coupled time-varying neurodynamic optimization approaches with fixed-time(FT)convergence to Nash equilibrium seeking in non-cooperative games.The dynamics trajectories are demonstrated to converge to the NE solution within a fixed time from any initial states.The proposed neurodynamic networks exhibit a faster convergence rate with appropriately selected time-varying coefficients.Additionally,the upper bounds of the convergence time of the proposed NE seeking networks are smaller than those for strategies with constant coefficients.The robustness of the proposed NE seeking neurodynamic approaches under bounded perturbations is further studied.The efficacy and practicality of the proposed NE seeking approaches are validated through simulations and field-programmable gate array(FPGA)experiments on duopoly market games. 展开更多
关键词 Fixed-time(FT)convergence hardware implementation Nash equilibrium(NE) neurodynamic optimization approaches
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Towards secure computation and trusted silicon:emerging trends in ISSCC 2026 hardware security 认领 引用
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作者 Wenping Zhu Hanning Wang +1 位作者 Bohan Yang Leibo Liu 《Journal of Semiconductors》 EI CAS CSCD 2026年第7期1-6,共6页
As the semiconductor industry transitions into an era shaped by ubiquitous artificial intelligence,heterogeneous integration,and the prospective impact of cryptanalytically capable quantum computers,hardware security ... As the semiconductor industry transitions into an era shaped by ubiquitous artificial intelligence,heterogeneous integration,and the prospective impact of cryptanalytically capable quantum computers,hardware security is increasingly extending beyond its traditional role as isolated cryptographic engines or standalone blocks[1,2]. 展开更多
关键词 hardware security trusted silicon ubiquitous artificial intelligence artificial intelligenceheterogeneous integrationand semiconductor industry standalone blocks cryptographic engines ISSCC
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Software-hardware co-design accelerates materials simulations 认领 引用
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作者 Xiaozhe Wang Wei Zhang En Ma 《Journal of Semiconductors》 EI CAS CSCD 2026年第7期28-31,共4页
Accurate atomistic and electronic-structure calculations based on density functional theory(DFT)and DFT-based ab initio molecular dynamics(AIMD)calculations underpin much of modern computational chemistry and material... Accurate atomistic and electronic-structure calculations based on density functional theory(DFT)and DFT-based ab initio molecular dynamics(AIMD)calculations underpin much of modern computational chemistry and materials science[1].DFT calculations offer quantitative insights into chemical bonding,charge transport,phase stability,reaction pathways,etc[2]. 展开更多
关键词 chemical bondingcharge software hardware co design density functional theory dft dft based ab initio molecular dynamics ab initio molecular dynamics aimd calculations materials simulations materials science density functional theory
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Application of Plan-Do-Check-Act cycle based on software, hardware, environment, liveware model in preventing infection after endoscopic mucosal resection 认领 引用
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作者 Wen Li Chun Liu Hai-Yan Zhang 《World Journal of Gastrointestinal Surgery》 SCIE 2026年第3期114-121,共8页
BACKGROUND Endoscopic mucosal resection(EMR)is widely used for superficial gastrointestinal tumors but carries a notable risk of surgical site infection(SSI),which impairs recovery and increases morbidity.Existing inf... BACKGROUND Endoscopic mucosal resection(EMR)is widely used for superficial gastrointestinal tumors but carries a notable risk of surgical site infection(SSI),which impairs recovery and increases morbidity.Existing infection control strategies often lack systematic integration of human,environmental,and procedural factors.The software,hardware,environment,liveware(SHEL)model offers a comprehensive framework to identify such multidimensional risks,while the Plan-Do-Check-Act(PDCA)cycle enables continuous quality improvement.We hypothesized that integrating the SHEL model into a PDCA-based nursing management protocol would significantly reduce post-EMR SSI rates and enhance patient outcomes compared to conventional care.AIM To investigate the effect of a SHEL-based PDCA cycle in preventing EMR infection.METHODS This study was conducted in Shanxi Bethune Hospital with 140 EMR patients,randomly assigned to control(routine perioperative nursing)or observation(SHEL model-integrated PDCA cycle nursing)groups(n=70 each).Outcomes included postoperative incisional infection rate,recovery,operating room care quality,and patient satisfaction.Data were analyzed using χ2 tests and t-tests.RESULTS The incidence of postoperative SSI in the observation group was significantly lower than that in the control group(5.71%vs 18.57%,P=0.020).Postoperative recovery indicators,including first flatus time(7.34±1.37 hours vs 9.89±1.37 hours,P<0.001),first defecation time(12.59±2.42 hours vs 17.21±2.44 hours,P<0.001),first ambulation time(10.01±1.27 hours vs 12.81±1.51 hours,P<0.001),and hospital stay(7.10±1.66 days vs 12.98±1.80 days,P<0.001),were all significantly shorter in the observation group.Operating room care quality scores and overall patient satisfaction(84.29%vs 65.71%,P=0.011)were also significantly higher in the intervention group.CONCLUSION The SHEL-based PDCA cycle significantly reduces infection rates,accelerates recovery,and improves nursing quality and patient satisfaction after EMR. 展开更多
关键词 Postoperative infection Endoscopic mucosal resection Plan-Do-Check-Act cycle Software,hardware,environment,liveware model Surgical site infection
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Integrated Volt-Energy Storage-Lighting System for Smart Road Lighting Based on Distributed MPPT:A Review of Hardware Design and Economic Analysis 认领 引用
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作者 Xiangran Chen Jierui Feng +3 位作者 Yuying Pan Mingwei Li Yanran Li Yuhan Song 《Journal of Electronic Research and Application》 2026年第3期190-199,共10页
Smart street lights are the key carrier of smart cities and dual carbon goals.Aiming at the problems of high energy consumption of street lamps,extensive control,lack of dynamic adaptation capabilities of existing sma... Smart street lights are the key carrier of smart cities and dual carbon goals.Aiming at the problems of high energy consumption of street lamps,extensive control,lack of dynamic adaptation capabilities of existing smart street lamps,and the vulnerability of centralized photovoltaics to shadows and module aging,this paper proposes a distributed MPPT photovoltaic-energy storage-lighting integrated system.The system hardware integrates high-precision sampling,STM32 main control,DC-DC conversion and lithium iron phosphate battery management;The software integrates traffic flow monitoring,people flow statistics and multi-factor linear regression dimming algorithm to realize perception and dynamic dimming.Through the three-layer architecture of perception-processing-cloud,the system not only improves the efficiency of photovoltaic power generation and adapts to complex lighting,but also has been preliminarily verified to have significant technical feasibility and economic value in terms of power generation efficiency,energy saving and cost reduction,and full life cycle costs. 展开更多
关键词 Distributed MPPT Smart street lamps Hardware design Investment income analysis Shadow inhomogeneity
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From hardware store to hospital:a COVID-19-inspired,cost-effective,open-source,in vivo-validated ventilator for use in resource-scarce regions 认领 引用 被引量：1
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作者 Matthew H.Park Yuanjia Zhu +9 位作者 Hanjay Wang Nicholas ATran Jinsuh Jung Michael JPaulsen Annabel M.Imbrie‑Moore Samuel Baker Robert Wilkerson Mateo Marin‑Cuartas Danielle M.Mullis Y.Joseph Woo 《Bio-Design and Manufacturing》 SCIE EI CAS CSCD 2022年第1期133-140,共8页
Resource-scarce regions with serious COVID-19 outbreaks do not have enough ventilators to support critically ill patients,and these shortages are especially devastating in developing countries.To help alleviate this s... Resource-scarce regions with serious COVID-19 outbreaks do not have enough ventilators to support critically ill patients,and these shortages are especially devastating in developing countries.To help alleviate this strain,we have designed and tested the accessible low-barrier in vivo-validated economical ventilator(ALIVE Vent),a COVID-19-inspired,cost-effective,open-source,in vivo-validated solution made from commercially available components.The ALIVE Vent operates using compressed oxygen and air to drive inspiration,while two solenoid valves ensure one-way flow and precise cycle timing.The device was functionally tested and profiled using a variable resistance and compliance artificial lung and validated in anesthetized large animals.Our functional test results revealed its effective operation under a wide variety of ventilation conditions defined by the American Association of Respiratory Care guidelines for ventilator stockpiling.The large animal test showed that our ventilator performed similarly if not better than a standard ventilator in maintaining optimal ventilation status.The FiO2,respiratory rate,inspiratory to expiratory time ratio,positive-end expiratory pressure,and peak inspiratory pressure were successfully maintained within normal,clinically validated ranges,and the animals were recovered without any complications.In regions with limited access to ventilators,the ALIVE Vent can help alleviate shortages,and we have ensured that all used materials are publicly available.While this pandemic has elucidated enormous global inequalities in healthcare,innovative,cost-effective solutions aimed at reducing socio-economic barriers,such as the ALIVE Vent,can help enable access to prompt healthcare and life saving technology on a global scale and beyond COVID-19. 展开更多
关键词 COVID-19 Ventilator Open-source
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LearningEMS:A Unified Framework and Open-Source Benchmark for Learning-Based Energy Management of Electric Vehicles 认领 引用 被引量：2
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作者 Yong Wang Hongwen He +9 位作者 Yuankai Wu Pei Wang Haoyu Wang Renzong Lian Jingda Wu Qin Li Xiangfei Meng Yingjuan Tang Fengchun Sun Amir Khajepour 《Engineering》 SCIE EI CSCD 2025年第11期370-387,共18页
An effective energy management strategy(EMS)is essential to optimize the energy efficiency of electric vehicles(EVs).With the advent of advanced machine learning techniques,the focus on developing sophisticated EMS fo... An effective energy management strategy(EMS)is essential to optimize the energy efficiency of electric vehicles(EVs).With the advent of advanced machine learning techniques,the focus on developing sophisticated EMS for EVs is increasing.Here,we introduce LearningEMS:a unified framework and open-source benchmark designed to facilitate rapid development and assessment of EMS.LearningEMS is distinguished by its ability to support a variety of EV configurations,including hybrid EVs,fuel cell EVs,and plug-in EVs,offering a general platform for the development of EMS.The framework enables detailed comparisons of several EMS algorithms,encompassing imitation learning,deep reinforcement learning(RL),offline RL,model predictive control,and dynamic programming.We rigorously evaluated these algorithms across multiple perspectives:energy efficiency,consistency,adaptability,and practicability.Furthermore,we discuss state,reward,and action settings for RL in EV energy management,introduce a policy extraction and reconstruction method for learning-based EMS deployment,and conduct hardware-in-the-loop experiments.In summary,we offer a unified and comprehensive framework that comes with three distinct EV platforms,over 10000 km of EMS policy data set,ten state-of-the-art algorithms,and over 160 benchmark tasks,along with three learning libraries.Its flexible design allows easy expansion for additional tasks and applications.The open-source algorithms,models,data sets,and deployment processes foster additional research and innovation in EV and broader engineering domains. 展开更多
关键词 Energy management Electric vehicles Reinforcement learning Machine learning Open-source benchmark
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The Development of Artificial Intelligence:Toward Consistency in the Logical Structures of Datasets,AI Models,Model Building,and Hardware? 认领 引用
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作者 Li Guo Jinghai Li 《Engineering》 SCIE EI CSCD 2025年第7期13-17,共5页
The aim of this article is to explore potential directions for the development of artificial intelligence(AI).It points out that,while current AI can handle the statistical properties of complex systems,it has difficu... The aim of this article is to explore potential directions for the development of artificial intelligence(AI).It points out that,while current AI can handle the statistical properties of complex systems,it has difficulty effectively processing and fully representing their spatiotemporal complexity patterns.The article also discusses a potential path of AI development in the engineering domain.Based on the existing understanding of the principles of multilevel com-plexity,this article suggests that consistency among the logical structures of datasets,AI models,model-building software,and hardware will be an important AI development direction and is worthy of careful consideration. 展开更多
关键词 consistency datasets model building ai models artificial intelligence ai explore potential directions hardware artificial intelligence
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Low-Complexity Hardware Architecture for Batch Normalization of CNN Training Accelerator 认领 引用 被引量：1
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作者 Go-Eun Woo Sang-Bo Park +2 位作者 Gi-Tae Park Muhammad Junaid Hyung-Won Kim 《Computers, Materials & Continua》 SCIE EI 2025年第8期3241-3257,共17页
On-device Artificial Intelligence(AI)accelerators capable of not only inference but also training neural network models are in increasing demand in the industrial AI field,where frequent retraining is crucial due to f... On-device Artificial Intelligence(AI)accelerators capable of not only inference but also training neural network models are in increasing demand in the industrial AI field,where frequent retraining is crucial due to frequent production changes.Batch normalization(BN)is fundamental to training convolutional neural networks(CNNs),but its implementation in compact accelerator chips remains challenging due to computational complexity,particularly in calculating statistical parameters and gradients across mini-batches.Existing accelerator architectures either compromise the training accuracy of CNNs through approximations or require substantial computational resources,limiting their practical deployment.We present a hardware-optimized BN accelerator that maintains training accuracy while significantly reducing computational overhead through three novel techniques:(1)resourcesharing for efficient resource utilization across forward and backward passes,(2)interleaved buffering for reduced dynamic random-access memory(DRAM)access latencies,and(3)zero-skipping for minimal gradient computation.Implemented on a VCU118 Field Programmable Gate Array(FPGA)on 100 MHz and validated using You Only Look Once version 2-tiny(YOLOv2-tiny)on the PASCALVisualObjectClasses(VOC)dataset,our normalization accelerator achieves a 72%reduction in processing time and 83%lower power consumption compared to a 2.4 GHz Intel Central Processing Unit(CPU)software normalization implementation,while maintaining accuracy(0.51%mean Average Precision(mAP)drop at floating-point 32 bits(FP32),1.35%at brain floating-point 16 bits(bfloat16)).When integrated into a neural processing unit(NPU),the design demonstrates 63%and 97%performance improvements over AMD CPU and Reduced Instruction Set Computing-V(RISC-V)implementations,respectively.These results confirm that our proposed BN hardware design enables efficient,high-accuracy,and power-saving on-device training for modern CNNs.Our results demonstrate that efficient hardware implementation of standard batch normalization is achievable without sacrificing accuracy,enabling practical on-device CNN training with significantly reduced computational and power requirements. 展开更多
关键词 Convolutional neural network normalization batch normalization deep learning training hardware
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Swiftly accessible retinomorphic hardware for in-sensor image preprocessing and recognition:IGZO-based neuro-inspired optical image sensor arrays with metallic sensitization island 认领 引用
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作者 Kyungmoon Kwak Kyungho Park +7 位作者 Jae Seong Han Byung Ha Kang Dong Hyun Choi Kunho Moon Seok Min Hong Gwan In Kim Ju Hyun Lee Hyun Jae Kim 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2025年第6期494-510,共17页
In-optical-sensor computing architectures based on neuro-inspired optical sensor arrays have become key milestones for in-sensor artificial intelligence(AI)technology,enabling intelligent vision sensing and extensive ... In-optical-sensor computing architectures based on neuro-inspired optical sensor arrays have become key milestones for in-sensor artificial intelligence(AI)technology,enabling intelligent vision sensing and extensive data processing.These architectures must demonstrate potential advantages in terms of mass production and complementary metal oxide semiconductor compatibility.Here,we introduce a visible-light-driven neuromorphic vision system that integrates front-end retinomorphic photosensors with a back-end artificial neural network(ANN),employing a single neuro-inspired indium-g allium-zinc-oxide photo transistor(NIP)featuring an aluminum sensitization layer(ASL).By methodically adjusting the ASL coverage on IGZO phototransistors,a fast-switching response-type and a synaptic response-type of IGZO photo transistors are successfully developed.Notably,the fabricated NIP shows a remarkable retina-like photoinduced synaptic plasticity under wavelengths up to 635 nm,with over256-states,weight update nonlinearity below 0.1,and a dynamic range of 64.01.Owing to this technology,a 6×6 neuro-inspired optical image sensor array with the NIP can perform highly integrated sensing,memory,and preprocessing functions,including contrast enhancement,and handwritten digit image recognition.The demonstrated prototype highlights the potential for efficient hardware implementations in in-sensor AI technologies. 展开更多
关键词 retinomorphic hardware in-sensor preprocessing image recognition neuro-inspired optical sensors indium-gallium-zinc-oxide metallic sensitization layer
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Spiking Neural Networks:A Comprehensive Survey of Training Methodologies,Hardware Implementations and Applications 认领 引用
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作者 Ameer Hamza KHAN Xinwei CAO +4 位作者 Chunbo LUO Shiqing ZHANG Wenping GUO Vasilios NKATSIKIS Shuai LI 《Artificial Intelligence Science and Engineering》 2025年第3期175-207,共33页
Spiking neural networks(SNN)represent a paradigm shift toward discrete,event-driven neural computation that mirrors biological brain mechanisms.This survey systematically examines current SNN research,focusing on trai... Spiking neural networks(SNN)represent a paradigm shift toward discrete,event-driven neural computation that mirrors biological brain mechanisms.This survey systematically examines current SNN research,focusing on training methodologies,hardware implementations,and practical applications.We analyze four major training paradigms:ANN-to-SNN conversion,direct gradient-based training,spike-timing-dependent plasticity(STDP),and hybrid approaches.Our review encompasses major specialized hardware platforms:Intel Loihi,IBM TrueNorth,SpiNNaker,and BrainScaleS,analyzing their capabilities and constraints.We survey applications spanning computer vision,robotics,edge computing,and brain-computer interfaces,identifying where SNN provide compelling advantages.Our comparative analysis reveals SNN offer significant energy efficiency improvements(1000-10000×reduction)and natural temporal processing,while facing challenges in scalability and training complexity.We identify critical research directions including improved gradient estimation,standardized benchmarking protocols,and hardware-software co-design approaches.This survey provides researchers and practitioners with a comprehensive understanding of current SNN capabilities,limitations,and future prospects. 展开更多
关键词 spiking neural networks brain-inspired computing specialized hardware energy-efficient AI event-driven computation
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Open-Source Codes of Topology Optimization: A Summary for Beginners to Start Their Research 认领 引用 被引量：12
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作者 Yingjun Wang Xinqing Li +1 位作者 Kai Long Peng Wei 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第10期1-34,共34页
Topology optimization(TO),a numerical technique to find the optimalmaterial layoutwith a given design domain,has attracted interest from researchers in the field of structural optimization in recent years.For beginner... Topology optimization(TO),a numerical technique to find the optimalmaterial layoutwith a given design domain,has attracted interest from researchers in the field of structural optimization in recent years.For beginners,opensource codes are undoubtedly the best alternative to learning TO,which can elaborate the implementation of a method in detail and easily engage more people to employ and extend the method.In this paper,we present a summary of various open-source codes and related literature on TO methods,including solid isotropic material with penalization(SIMP),evolutionary method,level set method(LSM),moving morphable components/voids(MMC/MMV)methods,multiscale topology optimization method,etc.Simultaneously,we classify the codes into five levels,fromeasy to difficult,depending on their difficulty,so that beginners can get started and understand the form of code implementation more quickly. 展开更多
关键词 Topology optimization open-source code optimization methods code classification beginners
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A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain 认领 引用 被引量：30
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作者 Deyi Li Hongbo Gao 《Engineering》 SCIE EI CAS 2018年第4期464-470,共7页
The type, model, quantity, and location of sensors installed on the intelligent vehicle test platform are different, resulting in different sensor information processing modules, The driving map used in intelligent ve... The type, model, quantity, and location of sensors installed on the intelligent vehicle test platform are different, resulting in different sensor information processing modules, The driving map used in intelligent vehicle test platform has no uniform standard, which leads to different granularity of driving map information, The sensor information processing module is directly associated with the driving map information and decision-making module, which leads to the interface of intelligent driving system software module has no uniform standard, Based on the software and hardware architecture of intelligent vehicle, the sensor information and driving map information are processed by using the formal language of driving cognition to form a driving situation graph cluster and output to a decision-making module, and the out- put result of the decision-making module is shown as a cognitive arrow cluster, so that the whole process of intelligent driving from perception to decision-making is completed, The formalization of driving cognition reduces the influence of sensor type, model, quantity, and location on the whole software architec- ture, which makes the software architecture portable on different intelligent driving hardware platforms. 展开更多
关键词 Driving brain Intelligent driving Hardware platform framework
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Fault self-repair strategy based on evolvable hardware and reparation balance technology 认领 引用 被引量：13
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作者 Zhang Junbin Cai Jinyan +1 位作者 Meng Yafeng Meng Tianzhen 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2014年第5期1211-1222,共12页
In the face of harsh natural environment applications such as earth-orbiting and deep space satellites, underwater sea vehicles, strong electromagnetic interference and temperature stress,the circuits faults appear ea... In the face of harsh natural environment applications such as earth-orbiting and deep space satellites, underwater sea vehicles, strong electromagnetic interference and temperature stress,the circuits faults appear easily. Circuit faults will inevitably lead to serious losses of availability or impeded mission success without self-repair over the mission duration. Traditional fault-repair methods based on redundant fault-tolerant technique are straightforward to implement, yet their area, power and weight cost can be excessive. Moreover they utilize all plug-in or component level circuits to realize redundant backup, such that their applicability is limited. Hence, a novel selfrepair technology based on evolvable hardware（EHW） and reparation balance technology（RBT） is proposed. Its cost is low, and fault self-repair of various circuits and devices can be realized through dynamic configuration. Making full use of the fault signals, correcting circuit can be found through EHW technique to realize the balance and compensation of the fault output-signals. In this paper, the self-repair model was analyzed which based on EHW and RBT technique, the specific self-repair strategy was studied, the corresponding self-repair circuit fault system was designed, and the typical faults were simulated and analyzed which combined with the actual electronic devices. Simulation results demonstrated that the proposed fault self-repair strategy was feasible. Compared to traditional techniques, fault self-repair based on EHW consumes fewer hardware resources, and the scope of fault self-repair was expanded significantly. 展开更多
关键词 Evolutionary algorithm Evolvable hardware Fault Self-repair Fault-tolerant Genetic algorithm particle swarm optimization Reparation balance technology
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List-Serial Pipelined Hardware Architecture for SCL Decoding of Polar Codes 认领 引用 被引量：4
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作者 Zhongxiu Feng Cong Niu +3 位作者 Zhengyu Zhang Jiaxi Zhou Daiming Qu Tao Jiang 《China Communications》 SCIE CSCD 2023年第3期175-184,共10页
For polar codes,the performance of successive cancellation list(SCL)decoding is capable of approaching that of maximum likelihood decoding.However,the existing hardware architectures for the SCL decoding suffer from h... For polar codes,the performance of successive cancellation list(SCL)decoding is capable of approaching that of maximum likelihood decoding.However,the existing hardware architectures for the SCL decoding suffer from high hardware complexity due to calculating L decoding paths simultaneously,which are unfriendly to the devices with limited logical resources,such as field programmable gate arrays(FPGAs).In this paper,we propose a list-serial pipelined hardware architecture with low complexity for the SCL decoding,where the serial calculation and the pipelined operation are elegantly combined to strike a balance between the complexity and the latency.Moreover,we employ only one successive cancellation(SC)decoder core without L×L crossbars,and reduce the number of inputs of the metric sorter from 2L to L+2.Finally,the FPGA implementations show that the hardware resource consumption is significantly reduced with negligible decoding performance loss. 展开更多
关键词 successive cancellation list decoding po-lar codes hardware implementation pipelined archi-tecture
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Detecting Compromised Kernel Hooks with Support of Hardware Debugging Features 认领 引用 被引量：3
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作者 Shi Wenchang Zhou HongWei +1 位作者 Yuan JinHui Liang Bin 《China Communications》 SCIE CSCD 2012年第10期78-90,共13页
Although there exist a few good schemes to protect the kernel hooks of operating systems, attackers are still able to circumvent existing defense mechanisms with spurious context infonmtion. To address this challenge,... Although there exist a few good schemes to protect the kernel hooks of operating systems, attackers are still able to circumvent existing defense mechanisms with spurious context infonmtion. To address this challenge, this paper proposes a framework, called HooklMA, to detect compromised kernel hooks by using hardware debugging features. The key contribution of the work is that context information is captured from hardware instead of from relatively vulnerable kernel data. Using commodity hardware, a proof-of-concept pro- totype system of HooklMA has been developed. This prototype handles 3 082 dynamic control-flow transfers with related hooks in the kernel space. Experiments show that HooklMA is capable of detecting compomised kernel hooks caused by kernel rootkits. Performance evaluations with UnixBench indicate that runtirre overhead introduced by HooklMA is about 21.5%. 展开更多
关键词 operating system kernel hook integrity hardware control flow
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Spectral Efficiency of Superimposed Pilots in Cell-Free Massive MIMO Systems with Hardware Impairments 认领 引用 被引量：3
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作者 Yao Zhang Meng Zhou +2 位作者 Haitao Zhao Longxiang Yang Hongbo Zhu 《China Communications》 SCIE EI CSCD 2021年第6期146-161,共16页
In this paper,the spectral efficiency(SE)of an uplink hardware-constrained cell-free massive multi-input multi-output(MIMO)system with maximal ratio combining(MRC)receiver filters in the context of superimposed pilots... In this paper,the spectral efficiency(SE)of an uplink hardware-constrained cell-free massive multi-input multi-output(MIMO)system with maximal ratio combining(MRC)receiver filters in the context of superimposed pilots(SPs)is investigated.Tractable closed-form SE expressions for the considered system are derived,which share us with opportunities to explore the impacts of the hardware quality coefficient,the length of coherence interval,and the power balance factor between pilot and data signals.Numerical results indicate that the achievable SE deteriorates as the hardware quality decreases and is more susceptible to the hardware impairments at the user equipments(UEs).Besides,we observe that SPs outperform regular pilots(RPs)in terms of SE and this performance gain is heavily dependent on the values of power balance factor and coherence interval.However,the superiorities of SPs over RPs have vanished when severe hardware imperfections are considered. 展开更多
关键词 cell-free massive MIMO hardware impairments superimposed pilots spectral efficiency
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A self-healing strategy with fault-cell reutilization of bio-inspired hardware 认领 引用 被引量：2
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作者 Zhai ZHANG Yao QIU +3 位作者 Xiaoliang YUAN Rui YAO Yan CHEN Youren WANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2019年第7期1673-1683,共11页
The self-healing strategy is a key component in designing the bio-inspired embryonics circuit with the structure of cell arrays. However, the existing self-healing strategies of embryonics circuits mainly focus on per... The self-healing strategy is a key component in designing the bio-inspired embryonics circuit with the structure of cell arrays. However, the existing self-healing strategies of embryonics circuits mainly focus on permanent faults inside the modules of cells such as the function module and the configuration register, while little attention is paid to transient faults. From the point of view of obtaining high efficiency of hardware utilization, it would be a huge waste of hardware resources by permanent elimination when a cell only suffers a transient fault which can be repaired by a configuration mechanism. A new self-healing strategy, the Fault-Cell Reutilization Self-healing Strategy(FCRSS) which presents a method for reusing transient fault cells, is proposed in this paper. The circuit structures of all the modules in the cells are described in detail. In the new strategy, two processes of elimination and reconfiguration are combined. Within the process of fault-cell elimination, cells with transient faults in the embryonics circuit array could be reused simultaneously to replace the functions of the cells on their left side in the same row. Therefore, transient fault-cells in a transparent state can be reconfigured to realize the fault-cell reutilization. Finally,a circuit simulation, resource consumption, a reliability analysis and a detailed normalization analysis are presented. The FCRSS can improve the hardware utilization rate and system reliability at the expense of a small amount of hardware resources and reconfiguration time. Following the conclusion, the method of determining the optimal self-healing strategy is presented according to the environmental conditions. 展开更多
关键词 Bio-inspired hardware Embryonics Fault-cell reutilization Reliability analysis Self-healing strategy Transient fault
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HSPM:A Better Model to Effectively Preventing Open-Source Projects from Dying 认领 引用 被引量：1
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作者 Zhifang Liao Fangying Fu +3 位作者 Yiqi Zhao Sui Tan Zhiwu Yu Yan Zhang 《Computer Systems Science & Engineering》 SCIE EI 2023年第10期431-452,共22页
With the rapid development of Open-Source(OS),more and more software projects are maintained and developed in the form of OS.These Open-Source projects depend on and influence each other,gradually forming a huge OS pr... With the rapid development of Open-Source(OS),more and more software projects are maintained and developed in the form of OS.These Open-Source projects depend on and influence each other,gradually forming a huge OS project network,namely an Open-Source Software ECOsystem(OSSECO).Unfortunately,not all OS projects in the open-source ecosystem can be healthy and stable in the long term,and more projects will go from active to inactive and gradually die.In a tightly connected ecosystem,the death of one project can potentially cause the collapse of the entire ecosystem network.How can we effectively prevent such situations from happening?In this paper,we first identify the basic project characteristics that affect the survival of OS projects at both project and ecosystem levels through the proportional hazards model.Then,we utilize graph convolutional networks based on the ecosystem network to extract the ecosystem environment characteristics of OS projects.Finally,we fuse basic project characteristics and environmental project characteristics and construct a Hybrid Structured Prediction Model(HSPM)to predict the OS project survival state.The experimental results show that HSPM significantly improved compared to the traditional prediction model.Our work can substantially assist OS project managers in maintaining their projects’health.It can also provide an essential reference for developers when choosing the right open-source project for their production activities. 展开更多
关键词 Project survival prediction open-source ecosystem open-source project open-source health graph neural networks
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