With the rapid development of Chinese urbanization and industrialization level, the Chinese real estate transaction area continues to grow, and the country's decoration industry is expanding. Due to the rapid expa...
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Recently,multimodal sentiment analysis has increasingly attracted attention with the popularity of complementary data streams,which has great potential to surpass unimodal sentiment *** challenge of multimodal sentime...
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Recently,multimodal sentiment analysis has increasingly attracted attention with the popularity of complementary data streams,which has great potential to surpass unimodal sentiment *** challenge of multimodal sentiment analysis is how to design an efficient multimodal feature fusion ***,existing work always considers feature-level fusion or decision-level fusion,and few research works focus on hybrid fusion strategies that contain feature-level fusion and decision-level *** improve the performance of multimodal sentiment analysis,we present a novel multimodal sentiment analysis model using BiGRU and attention-based hybrid fusion strategy(BAHFS).Firstly,we apply BiGRU to learn the unimodal features of text,audio and *** we fuse the unimodal features into bimodal features using the bimodal attention fusion ***,BAHFS feeds the unimodal features and bimodal features into the trimodal attention fusion module and the trimodal concatenation fusion module simultaneously to get two sets of trimodal ***,BAHFS makes a classification with the two sets of trimodal features respectively and gets the final analysis results with decision-level *** on the CMU-MOSI and CMU-MOSEI datasets,extensive experiments have been carried out to verify BAHFS’s superiority.
The harmonic elimination task of three-level neutral point clamped (3L-NPC) inverters is related to a complicated engineering optimization problem, which mainly involves constrained nonlinear transcendental equations ...
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ISBN:
(数字)9798331511241
ISBN:
(纸本)9798331511258
The harmonic elimination task of three-level neutral point clamped (3L-NPC) inverters is related to a complicated engineering optimization problem, which mainly involves constrained nonlinear transcendental equations with multiple solutions. In order to solve the problems of difficult initial value determination, slow convergence rates and susceptibility to local optima trapping in the process of using traditional numerical algorithms, This paper introduces a novel selective harmonic elimination pulse width modulation (SHEPWM) framework, enhanced by an adaptive restart genetic algorithm, to address the limitations of conventional optimization methods. By introducing the adaptive restart mechanism, the performance and robustness of the solution algorithm can be improved, so as to circumvent entrapment in local optima and secure the global optimum across the entire solution space. The simulation results show that there are divergent trends in the switching angles and the total harmonic distortion (THD) values of the output voltage obtained by the proposed method, but all of them can effectively eliminate the specified low-order harmonics. These findings verifies the practical applicability and solution diversity of the proposed method, as well as provides new ideas and methods for solving optimization problems in other engineering fields.
With the development of modern science and economy, congestions and accidents are brought by increasing traffics. And to improve efficiency, traffic signal based control is usually used as an effective model to allevi...
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To realize the automatic loading process of parts, one of the core tasks is to identify the geometric contour of the part’s surface and the angular direction. Since the angular direction of each part is not the same ...
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Networked life has now become one of our major life forms. In social networks, each individual has its own attributes and certain functions, which makes the current network present characteristics that the previous ne...
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Crowd phenomena are widespread in human society, but they cannot be observed easily in the real world, and research on them cannot follow traditional ways. Simulation is one of the most effective means to support stud...
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Crowd phenomena are widespread in human society, but they cannot be observed easily in the real world, and research on them cannot follow traditional ways. Simulation is one of the most effective means to support studies about crowd phenomena. As modelbased scientific activities, crowd science simulations take extra efforts on member models, which reflect individuals who own characteristics such as heterogeneity, large scale, and multiplicate connections. Unfortunately, collecting enormous members is difficult in reality. How to generate tremendous crowd equivalent member models according to real members is an urgent problem to be solved. A crowd equivalence-based massive member model generation method is proposed. Member model generation is accomplished according to the following steps. The first step is the member metamodel definition, which provides patterns and member model data elements for member model definition. The second step is member model definition, which defines types, quantities, and attributes of member models for member model generation. The third step is crowd network definition and generation, which defines and generates an equivalent large-scale crowd network according to the numerical characteristics of existing networks. On the basis of the structure of the large-scale crowd network, connections among member models are well established and regarded as social relationships among real members. The last step is member model generation. Based on the previous steps, it generates types, attributes, and connections among member models. According to the quality-time model of crowd intelligence level measurement, a crowd-oriented equivalence for crowd networks is derived on the basis of numerical characteristics. A massive member model generation tool is developed according to the proposed method. The member models generated by this tool possess multiplicate connections and attributes, which satisfy the requirements of crowd science simulations well. T
In this paper, the Crowd Intelligence Network Model is applied to the simulation of epidemic spread. This model combines the multi-layer coupling network model and the two-stage feedback member model to study the epid...
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his paper presents a comprehensive analysis of the energy consumption characteristics of a Silicon (Si)-based Reconfigurable IoT (RIoT) node developed in the initial phase of the SUPERIOT project, focusing on key oper...
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This paper proposes an asymptotic rejection algorithm for rejecting exotic disturbances in nonlinear *** produced by nonlinear exosystems are nonharmonic and periodic.A new internal model is proposed to deal with thes...
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This paper proposes an asymptotic rejection algorithm for rejecting exotic disturbances in nonlinear *** produced by nonlinear exosystems are nonharmonic and periodic.A new internal model is proposed to deal with these ***,an adaptive output feedback controller is designed to ensure that the system’s state variables asymptotically converge to zero,and disturbances can be completely *** proposed algorithm has various applications,such as active vibration *** proposed algorithm is demonstrated to completely reject the nonharmonic periodic disturbances produced by a van der Pol oscillator.
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