Research on Integrated Decision Control Algorithm for Autonomous Vehicles Under Multi-Task Hybrid Constraints in Intelligent Transportation Scenarios

In order to improve the decision-making and control effect of autonomous vehicles, in this paper, combined with literature research and process analysis, the control algorithm of autopilot vehicle is analyzed, and the driving process is analyzed combined with the flow method. In order to improve the effect of autonomous driving, with the support of improved algorithms, an integrated decision-making control system for autonomous vehicles under multi-task constraints in intelligent traffic scenarios is constructed, and system performance is improved by simulating autonomous driving decisions in a variety of complex situations. Moreover, this paper designs the road driving model according to actual needs, sets the functional modules of the entire system, and build the overall framework of the system. Finally, in order to study the integrated decision-making effect of this system, this paper conducts test research by designing a simulation test method. From the simulation test results, it can be seen that the intelligent decision-making system for autonomous vehicles constructed in this paper has certain effects.

Knowledge Mapping Analysis of Manufacturing Product Innovation Based on CiteSpace

Manufacturing product innovation is increasingly showing a green, low-carbon, systematic ecological innovation development trend. In this paper, using CiteSpace analysis method and assisted by BICOMB2 software, the literature of CNKI (1992–2019) and WOS (1995–2019) database was analyzed to construct the knowledge mapping of manufacturing product innovation, and the research findings were as follows: (i) The research is mainly concentrated in China, the United States, the United Kingdom, Germany and other countries. The number of Chinese scholars’ research is the largest, but the American scholars’ research is the first in novelty and prospective, and its sigma value is as high as 294.17. (ii) In recent years, Shanghai Jiaotong University, Xi’an University of Technology, Hunan University and other research institutions have recently produced more research results on product innovation. Among them, Shanghai Jiaotong University can be ranked first. (ii) “Green product innovation” and “product innovation performance” can continue to be the hot spots for future manufacturing product innovation and development.

Optimal Placement of PMU for Fast Robust Power System Dynamic State Estimation using UKF–GBDT Technique

This paper proposes a fast and robust dynamic state estimation technique based on model transformation method using the proposed hybrid technique. The proposed hybrid method is the combination of Unscented Kalman Filter (UKF) and Gradient Boosting Decision Tree (GBDT), hence commonly referred to as the UKF–GBDT technique. The proposed model transformation approach is accomplished by taking the active power generator measured as input variable and derived frequency as rate of change of frequency measurements of phasor measurement units (PMU) as dynamic generator output variable model. The proposed hybrid technique is also formulated to deal with data quality issues, and the rate of change of frequency and frequency measurements may be skewed in the presence of rigorous disruption or communication problems. This permits to obtain discrete-time linear dynamic equations in state space based on the linear Kalman filter (LKF). With this proper control, this model alleviates filter divergence problems, which can be a severe issue if the nonlinear model is utilized in greatly strained operating system conditions, and gives quick estimate of rotor speeds together with angles through transient modes if only the transient stability with control is concerned. In the case of long-term dynamics, the outcome of governor’s response in long-term system dynamics is offset together with mechanical power at rotor speed and the state vector angles for joint evaluation. At last, the performance of the proposed method is simulated in MATLAB/Simulink and the performance is compared to the existing methods like UKF, GBDT and ANN. The proposed technique is simulated under three case studies like IEEE 14-, 30- and 118-bus systems.

Analysis of the Deformation Characteristics of Loess Based on Thermal–Mechanical Coupling under an Energy Internet

In response to the major challenges faced by China’s transition to green low-carbon energy under the dual-carbon goal, the use of energy Internet cross-boundary thinking will help to develop research on the integration of renewable clean energy and buildings. Energy piles are a new building-energy-saving technology that uses geothermal energy in the shallow soil of the Earth’s surface as a source of cold (heat) to achieve heating in winter and cooling in summer. It is a complex thermomechanical working process that changes the temperature of the rock and soil around the pile, and the temperature change significantly influences the mechanical properties of natural loess. Although the soil temperature can be easily and quickly obtained by using sensors connected to the Internet of Things, the mechanical properties of natural loess will change greatly under the influence of temperature. To explore the influence of temperature on the stress–strain relationship of structural loess, the undrained triaxial consolidation tests were carried out under different temperatures (5, 20, 50 and 70∘C) and different confining pressures (50, 100, 200 and 400[Formula: see text]kPa), and a binary-medium model was introduced to simulate the stress–strain relationship. By introducing the damage rate under temperature change conditions, a binary-medium model of structural loess under variable temperature conditions was established, and the calculation method of the model parameters was proposed. Finally, the calculated results were compared with the test results. The calculation results showed that the established model has good applicability.

An Energy-Efficient Low-Area Double-Node-Upset-Hardened Latch Design

The energy-efficient circuits, though important in IoT and biomedical applications, are vulnerable to soft errors due to their low voltages and small node capacitances. This paper presents an energy-efficient low-area double-node-upset-hardened latch (EEDHL). The proposed latch enhances the radiation hardness by employing a restorer circuit based on a Muller C-element and a memory element. The post-layout simulations show that the EEDHL improves the area–energy–delay product (AEDP) by [Formula: see text]80% compared to the newly reported double-node-upset-resilient latch (DNURL) in STMicroelectronics 65-nm CMOS technology. Synopsys TCAD mixed-mode simulations in 32-nm CMOS technology framework are also used to validate the proposed DNU-hardened latch. The proposed EEDHL effectively mitigates the DNU at the strike with a linear energy transfer (LET) equal to 160[Formula: see text][Formula: see text]/mg in 32-nm CMOS technology.

Symmetric Coexisting Attractors in a Novel Memristors-Based Chuas Chaotic System

This paper introduces a charge-controlled memristor based on the classical Chuas circuit. It also designs a novel four-dimensional chaotic system and investigates its complex dynamics, including phase portrait, Lyapunov exponent spectrum, bifurcation diagram, equilibrium point, dissipation and stability. The system appears as single-wing, double-wings chaotic attractors and the Lyapunov exponent spectrum of the system is symmetric with respect to the initial value. In addition, symmetric and asymmetric coexisting attractors are generated by changing the initial value and parameters. The findings indicate that the circuit system is equipped with excellent multi-stability. Finally, the circuit is implemented in Field Programmable Gate Array (FPGA) and analog circuits.

Software Architecture Design of Animation Studies Platform Using Structure-Behavior Coalescence Method

Animation education in the new media era is moving toward the goal of cultivating high-end talents. The development of an architecture-oriented animation studies platform provides guarantee for the training of talents in terms of teaching quality. This research uses the Internet as the medium and mobile phones and computer clients as the main technology platforms, starting from the software architecture and constructing the system model of the animation studies platform according to the Structure-Behavior Coalescence (SBC) method. The core theme of Model-Based Systems Engineering (MBSE) is a modeling language with model consistency of systems structure and systems behavior. This paper developed Structure-Behavior Coalescence State Machine (SBC-SM) as the formal language for the MBSE animation studies platform design model singularity. The model consistency will be fully guaranteed in the MBSE animation studies platform design when the SBC state machine approach is adopted. It not only improves the efficiency of platform development but also reduces the difficulty and risk of platform development.

Effective Communication-Based Reactive Power Sharing Scheme for Meshed Microgrid in an Islanded Mode

Microgrids (MGs) are the most sought out and feasible solution for the present energy crisis. MG is a group of Distributed Generators (DGs) interacting with each other to provide energy to a defined local area. The inclusion of DGs into the conventional power system at various voltage levels has altered the topology of the power system and their control techniques. Hence, the MGs can no longer be considered as a traditional radial network but rather a meshed network. The control and operation of such practical MGs become a challenge, especially when operated in the islanded mode. This research paper considers a realistic meshed MG operating in an islanded mode for study. In an islanded MG, the issues of real and reactive power sharing among DGs are addressed so that the power contribution of each DG is proportional to its rating, thus preventing overload and ensuring reliable operation. A communication-based virtual impedance estimation is proposed in addition to the droop controller for proportionate real and reactive power sharing among DGs in a meshed MG. With the increased complexity of meshed MG, the proposed communication-based control scheme offers an efficient reactive power sharing between DGs without the feeder and network impedance requirements. A MATLAB simulation study proves the effectiveness of the proposed control strategy for a meshed MG with equal DG ratings and unequal DG ratings under changing load conditions.

Container-Based Fast Service Migration Method for Mobile Edge Computing

Mobile edge computing (MEC) provides users with low-latency, high-bandwidth, and high-reliability services by migrating the computing power of the cloud computing center to the edge of the network. It is thus being considered an effective solution for the contradiction between the limited computing capabilities of Internet of Things (IoT) devices and the rapid development of delay-sensitive real-time applications. In this study, we propose and design a container union file system based on the differencing hard disk and dynamic loading strategy to address the excessively long migration time caused by the bundling transmission of the file system and container images during container-based service migration. The proposed method involves designing a mechanism based on a remote dynamic loading strategy to avoid the downloading of all container images, thereby reducing the long preparation time before which stateless migration can begin. Furthermore, in view of the excessive latency of the edge service during the stateful migration process, a strategy for avoiding the transmission of the underlying file system and container images is designed to optimize the service interruption time and service quality degradation time. Experiments show that the proposed method and strategy can effectively reduce the migration time of container-based services.

3.48-nW 58.4ppm/∘C Sub-threshold CVR with Four Transistors and Two Resistors

In this paper, an ultra-low power CMOS voltage reference capable of operating at sub-1[Formula: see text]V input supply is proposed. Four transistors biased in weak inversion are used to generate the required complementary-to-absolute-temperature (CTAT) and proportional-to-absolute-temperature (PTAT) voltages of the proposed circuit. Self-biasing of nature of the proposed configuration in the form of operational amplifier (opamp)-free ensure nano-power operation and eliminate the need for lateral bipolar junction transistors (BJTs) and offset cancelation techniques. A prototype of the circuit is designed and simulated in a standard 0.18-[Formula: see text]m CMOS process. Post-layout simulation results show that the circuit generates a reference voltage of 494[Formula: see text]mV with temperature coefficient (TC) of 58.4[Formula: see text]ppm/∘C across [Formula: see text]C to 85∘C; while the consuming power is lowered to 3.48[Formula: see text]nW at the minimum supply of 0.8[Formula: see text]V. The line sensitivity is 0.7%/V for the supply voltages from 0.8[Formula: see text]V to 1.8[Formula: see text]V, whereas the power supply ripple rejection (PSRR) is [Formula: see text]49.06[Formula: see text]dB at 1[Formula: see text]Hz. Monte Carlo simulation results of the voltage reference show a mean value of 497.2[Formula: see text]mV with [Formula: see text]/[Formula: see text] of 1.7%, demonstrating the robustness of the generated reference voltage against the process variations and mismatch.