Real-time systems are widely implemented in the Internet of Things(IoT) and safety-critical systems, both of which have generated enormous social value. Aiming at the classic schedulability analysis problem in real-ti...
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Real-time systems are widely implemented in the Internet of Things(IoT) and safety-critical systems, both of which have generated enormous social value. Aiming at the classic schedulability analysis problem in real-time systems, we proposed an exact Boolean analysis based on interference(EBAI) for schedulability analysis in real-time systems. EBAI is based on worst-case interference time(WCIT), which considers both the release jitter and blocking time of the task. We improved the efficiency of the three existing tests and provided a comprehensive summary of related research results in the field. Abundant experiments were conducted to compare EBAI with other related results. Our evaluation showed that in certain cases, the runtime gain achieved using our analysis method may exceed 73% compared to the stateof-the-art schedulability test. Furthermore, the benefits obtained from our tests grew with the number of tasks, reaching a level suitable for practical application. EBAI is oriented to the five-tuple real-time task model with stronger expression ability and possesses a low runtime overhead. These characteristics make it applicable in various real-time systems such as spacecraft, autonomous vehicles, industrial robots, and traffic command systems.
Nonaqueous absorbents have shown great potential in lowering regeneration energy for energy-efficient CO2 capture. The effect of reaction media with varying solvent characteristics (polarity, solubility parameter and ...
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Manganese oxides have received extensive attention in Oxygen Reduction Reaction(ORR)***-ever,the poor electrical conductivity and oxygen adsorption capacity of manganese oxides limit their development,so it is necessa...
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Manganese oxides have received extensive attention in Oxygen Reduction Reaction(ORR)***-ever,the poor electrical conductivity and oxygen adsorption capacity of manganese oxides limit their development,so it is necessary to prepare catalysts with highly active *** propose a method to introduce an ionically conductive medium and induce structural distortion via thermodynamics,re-sulting in novel peak-splitting highly active structures for enhanced oxygen reduction *** the aid of refined structural analysis,High-angle annular dark-field(HAADF-STEM)imaging,and theoretical calculations,it is elucidated that this peak-splitting structure results from thermodynamically induced structural distortions and atomic *** introduction of the ionically conductive medium promotes the formation of Ag-O-Mn conductive bond bridges,which regulate the energy level matching of manganese oxides and oxygen *** thermodynamically induced structural distortion ex-poses new atomic planes in the material,and the creation of this highly active surface is accompanied by a redistribution of surface charges,which modulates the adsorption of manganese active sites with oxy-gen intermediates and greatly enhances the oxygen reduction ***,this Ag-OMS-2 with a novel split structure exhibits excellent activity at 0.836 V,superior to Pt/C kinetics and good *** preparation of such highly active structures is instructive for the development of manganese oxides.
The vibration signals of rolling bearings exhibit nonlinear and non-stationary characteristics under the influence of noise. In intelligent fault diagnosis, unprocessed signals will lead to weak fault characteristics ...
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This paper studies the time-varying formation-containment tracking control problems for unmanned aerial vehicle(UAV)swarm systems with switching topologies and a non-cooperative target,where the UAV swarm systems cons...
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This paper studies the time-varying formation-containment tracking control problems for unmanned aerial vehicle(UAV)swarm systems with switching topologies and a non-cooperative target,where the UAV swarm systems consist of one tracking-leader,several formation-leaders,and *** formation-leaders are required to accomplish a predefined time-varying formation and track the desired trajectory of the tracking-leader,and the states of the followers should converge to the convex hull spanned by those of the ***,a formation-containment tracking protocol is proposed with the neighboring relative information,and the feasibility condition for formation-containment tracking and the algebraic Riccati equation are ***,the stability of the control system with the designed control protocol is proved by constructing a reasonable Lyapunov ***,the simulation examples are applied to verify the effectiveness of the theoretical *** simulation results show that both the formation tracking error and the containment error are convergent,so the system can complete the formation containment tracking control *** the actual battlefield,combat UAVs need to chase and attack hostile UAVs,but sometimes when multiple UAVs work together for military interception,formationcontainment tracking control will occur.
Achieving high thermal stability in the 6xxx series alloys remains a challenging task,which limits their engineering ***,Al-Mg-Si-Cu alloys with various Mg/Si ratios(0.5,1,2,and 4)were fab-ricated by twin-roll casting...
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Achieving high thermal stability in the 6xxx series alloys remains a challenging task,which limits their engineering ***,Al-Mg-Si-Cu alloys with various Mg/Si ratios(0.5,1,2,and 4)were fab-ricated by twin-roll casting(TRC),and the microstructure evolution and mechanical properties during long-term thermal exposure of 150 ℃/1000 h were *** results disclosed that alloys with a high Mg/Si ratio exhibited better thermal *** alloys with the Mg/Si ratio of 2(Mg/Si~2)achieved a stable high yield strength of~330 MPa and meanwhile maintained a satisfactory fracture elongation(>10%)throughout the thermal exposure *** excellent thermal stability can be attributed to the microstructure consisting of high-density L phases and fine α-AlFeSi phases,which was related to the optimized Mg/Si ***,L phases were dominated in peak-aged Mg/Si~2 alloys,while the counterparts in alloys with the Mg/Si ratio of 1(Mg/Si~1)were β"and Q'*** the thermal exposure process,the L phases remained stable without coarsening,which was mainly due to the high coherence and low interfacial energy of the L-matrix ***,the main Fe-containing phases in Mg/Si~2 and Mg/Si~1 alloys were fine near-spheroidal α-AlFeSi and large-size needle-like β-AlFeSi,re-spectively,which lead to a better ductility of Mg/Si~2 *** work may provide a strategy for the preparation of 6xxx series alloys with high thermal stability.
The low work hardening is a prominent deficiency for high-strength titanium(Ti)*** gradient design of oxygen content was adopted to realize the coupling deformation of{332}twinning and dislocation slip in the Ti-15Mo ...
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The low work hardening is a prominent deficiency for high-strength titanium(Ti)*** gradient design of oxygen content was adopted to realize the coupling deformation of{332}<113>twinning and dislocation slip in the Ti-15Mo *** oxygen gradient alloy exhibited an optimal balance of yield/tensile strength(700 and 848 MPa)and elongation(25%),with remarkable work hardening *** dominated dislocation slip deformation and the solution strengthening of oxygen atoms in the oxygen-rich region resulted in a remarkable increase in yield *** successive formation of{332}<113>twins and piled-up geometrically necessary dislocations around the twin boundaries in the oxygen-free region induced remarkable back stress strengthening,maintaining the high work hardening rate,which resulted in a stable increase in *** twins and dislocations formed at the crack tips effectively hindered the cracking behavior,avoiding premature *** present study provides a novel idea for designing oxygen layer-distributed Ti alloys,which further improves the strength-ductility tradeoff.
In the wake of the era of big data,the techniques of deep learning have become an essential research direction in the machine learning field and are beginning to be applied in the steel *** sintering process is an ext...
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In the wake of the era of big data,the techniques of deep learning have become an essential research direction in the machine learning field and are beginning to be applied in the steel *** sintering process is an extremely complex industrial *** the main process of the blast furnace ironmaking industry,it has great economic value and environmental protection significance for iron and steel *** is also one of the fields where deep learning is still in the exploration *** order to explore the application prospects of deep learning techniques in iron ore sintering,a comprehensive summary and conclusion of deep learning models for intelligent sintering were presented after reviewing the sintering process and deep learning models in a large number of research ***,the mechanisms and characteristics of parameters in sintering processes were introduced and analysed in detail,and then,the development of iron ore sintering simulation techniques was ***,deep learning techniques were introduced,including commonly used models of deep learning and their ***,the current status of applications of various types of deep learning models in sintering processes was elaborated in detail from the aspects of prediction,controlling,and optimisation of key *** speaking,deep learning models that could be more effectively implemented in more situations of the sintering and even steel industry chain will promote the intelligent development of the metallurgical industry.
A model-free control (MFC) method is proposed to improve the dynamic response performance of permanent magnet synchronous linear motors (PMSLMs) and reduce motor parameter changes during motor operation. The MFC is es...
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A model-free control (MFC) method is proposed to improve the dynamic response performance of permanent magnet synchronous linear motors (PMSLMs) and reduce motor parameter changes during motor operation. The MFC is established based on an ultra-local model that uses only the input and output of the system without using any PMSLM parameters. Compared with the conventional proportional-integral (PI) control method, the robustness of the MFC system is superior and can counteract the effects of changing motor parameters and external disturbances. Simulations and experiments are conducted with steady-state operation, sudden addition and subtraction of loads, and motor parameter perturbations. The results confirm that the proposed method is useful and robust to uncertainties in motor parameters and helps improve the dynamic performance of the PMSLM.
As a new type of green battery system,aqueous zinc-ion batteries(AZIBs)have gradually become a research hotspot due to their low cost,high safety,excellent stability,high theoretical capacity(820 mAh·g^(-1))of zi...
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As a new type of green battery system,aqueous zinc-ion batteries(AZIBs)have gradually become a research hotspot due to their low cost,high safety,excellent stability,high theoretical capacity(820 mAh·g^(-1))of zinc anode,and low redox potential(-0.76 V *** hydrogen electrode(SHE)).AZIBs have been expected to be an alternative to lithium-ion batteries for large-scale commercial energy storage ***,they are facing thorny issues such as degradation of cycling performance,zinc dendrites,and side *** the same time,these problems cause short cycling life of batteries,thus severely limiting their commercial *** recent years,many more researches have been conducted on the modification of anode and cathode materials of AZIBs,but there is a lack of in-depth discussion on the characteristics and mechanism of electrolyte *** this review,we will make a systematic summary of the current problems with two electrodes in AZIBs,as well as the types and functions of electrolyte ***,we further systematically describe the modulation mechanism of electrolyte additives in the performance of the cathode and *** prospects and development directions of additive modulation strategies for AZIBs electrolytes are prospected.
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