Nowadays, robots generally have a variety of capabilities, which often form coalition replacing human to work in dangerous environment, such as rescue, exploration, etc. In these operating conditions, the energy supply usually cannot be guaranteed. If resources some are consumed too fast, number future tasks will affected. This paper develop novel task allocation method based on Gini coefficient make full use limited multi-robot system maximize tasks. At same time, considering consumption,...

Aspect-level sentiment classification is a fine-grained task in analysis. In recent years, researchers have realized the importance of relationship between aspect term and sentence many models based on deep learning network been proposed. However, these end-to-end neural lack flexibility do not consider word information existing methods. Therefore, we propose lexicon-enhanced attention (LEAN) bidirectional LSTM. LEAN only can catch words but also concentrate specific sentence. Moreover,...

This study introduces a novel framework for video-based 3D human pose and shape estimation, termed Selective sampling Temporal Positional Encoding (STPE). Our method leverages selective advanced positional encoding to tackle the temporal complexities of video data high cost scarcity annotated datasets. Inspired by Masked Autoencoder (MAE), our approach adopts strategy that efficiently captures essential dynamics motion from partial views, significantly reducing reliance on continuous frames....

In this paper, image enhancement is considered as an optimization problem and improved PSO(Particle Swarm Optimization) used to solve it. Also in it, parameterized transformation function used, which uses global local information of the image. And objective criterion for measuring - taking fully consideration entropy edge proposed. The main job paper tries achieve best with help PSO parameters optimization. Results have been proved out better compared other techniques, such HE(Histogram...

In the rapidly evolving domain of question answering systems, ability to integrate machine comprehension with relational reasoning stands paramount. This paper introduces a novel architecture, Dependent Syntactic Semantic Augmented Graph Network (DSSAGN), designed address intricate challenges multi-hop answering. By ingeniously leveraging synergy between syntactic structures and semantic relationships within knowledge graphs, DSSAGN offers breakthrough in interpretability, scalability,...

Nano-TiO2 has always been one of the most important topics in research photocatalysts due to its special activity and stability. However, it difficult obtain nano-TiO2 with high dispersion, a small particle size photocatalytic activity. In this paper, powder was prepared by combining high-gravity technique direct precipitation method an impinging stream-rotating packed bed (IS-RPB) reactor followed Fe3+ in-situ doping. TiOSO4 NH3·H2O solutions were cut into very liquid microelements...

A real-time operating system (RTOS) provides a platform for the design and implementation of wide range applications in systems, embedded mission-critical systems. This paper presents formal model general RTOS known as RTOS+ that enables specific target to be rigorously efficiently derived real-world applications. The methodology denotational mathematics, Real-Time Process Algebra (RTPA), is described formally modeling refining architectures, static behaviors, dynamic behaviors RTOS+....

A real-time operating system (RTOS) provides a platform for the design and implementation of wide range applications in systems, embedded mission-critical systems. This paper presents formal model general RTOS known as RTOS+ that enables specific target to be rigorously efficiently derived real-world applications. The methodology denotational mathematics, Real-Time Process Algebra (RTPA), is described formally modeling refining architectures, static behaviors, dynamic behaviors RTOS+....

An adaptive region-segmentation based multi-focus image fusion method is presented using a Laplacian pyramid transform which decomposes the pre-registered source images into approximate and detail coefficients. In order to avoid disadvantage of fixed-size blocks, differential evolution scheme designed compute optimal-size block. Firstly, with coefficients, blocks are iteratively calculated by an algorithm. The initial decision diagram then completed comparing regional sum-modified energy two...

The paper studied the research status of fuzzy decision on complex phenomenon. It proposed that current researches focus subjective and objective randomness in language information about this field, uncertainty factors influencing alternatives. To solve above problems, a new kind method was presented with cloud model SPA. used for study "The rural energy development utilization plan" to establish renewable model, corresponding solution given. An active result obtained experiment compared...

This article describes functions and advantages of the OpenCV library, explains meaning, development status, applications, difficulties face detection technology, analysis idea Adaboost classifier algorithm, achieves procedures for using OpenCV, proposes improved method based on original algorithm.

With the rapid growth of knowledge bases (KBs), how to take full advantage structured infomation becomes increasingly important. Knowledge base-based question answering (KB-QA) is one most promising approaches access substantial knowledge. Meantime, as neural network-based (NN-based) methods develop, NN-based KB-QA has already achieved impressive results. However, previous works limitations which did not express proper information and adequate use information. Hence, we present a...

Soft-Man is put forward as a intelligent tool and technology which humanoid with higher level. can favorably cooperate within group at various levels. Due to the development of object agent in software engineering, so that, methodology engineering will be developing from object-oriented (O/O), agent-oriented (A/O) oriented (S/O). Our research on based two ways: Linux kernel rebuilding Java technology. The main results follows: concepts models generalized Soft-Man; personal model,...

There have been considerable attempts to incorporate semantic knowledge into coreference resolution systems: different sources such as WordNet and Wikipedia used boost the performance. In this paper, we propose new ways extract feature. This feature, along with other features named entity can be build an accurate class (SC) classifier. addition, analyze SC classification errors use relaxed agreement features. The proposed classifier relaxation of on ACE2 evaluation our baseline system by...

At present, robot embedded systems have some common problems such as closure and poor dynamic evolution. Aiming at resolving this situation, our paper focuses on improvements to the system sets up a new architecture, we propose syncretic mechanism of SoftMan (SM). In system, structural organization group its modes are particularly important in establishing task coordination mechanism. This paper, therefore, proposes model based group, studies detail process allocation for resource...

It is difficult for traditional data mining algorithms to mine semantic information from text set because of its complexity and high dimension. To solve this problem, the categories words appearing in tourism emergency reports are studied, a association rule algorithm presented based on these categories. Association also gained rules, which can better describe contents texts. Quantum-inspired genetic utilized improve effectiveness rule-searching process. Experiments show results than methods.

This paper deals with a new state-constrained control (SCC) system of vehicle, which includes multi-layer controller, in order to ensure the vehicle’s lateral stability and steering performance under complex environment. In this system, constraint strategy input state constraints is applied calculate steady-state yaw moment. It ensures vehicle by tracking desired rate value limiting allowable range side slip. Through linkage three-layer tire load optimized achieve minimal velocity reduction....

A cognitive model is proposed to construct autonomous nonplayer characters with learning (LANPCs) by defining three functions, respectively sensing, reasoning and effecting. The the product of functions. LANPCs can acquire knowledges from game world function where a discretization method based on linguistic variables be used solve possible uncountable worlds keep inequality reasoning. also change effecting which map discrete attributes into continuous procedures. Q-learning guides how obtain...

This paper presents a visual navigation method based on guideline recognition for wheeled robot to inspect equipment and instrument in unattended substation. Wheeled collects the road information via camera recognizes guideline. According deviation of guideline's actual location intended use PID control technology controls left right wheel's speed moving direction. The practical application substation shows that is simple reliable, fully able meet requirements patrol robot.