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Three dimensional (3-D) visual immersive system provides a better experience of virtual or remote environments compared with 2-D vision and is thus becoming one of the most active research fields of virtual reality. This paper describes how a 3-D multimode visual immersive system (3DMVIS) is developed, including system architecture, triplet lens module, head orientation tracking circuit, display module,...
Due to the complex physical constraints in working space of robot, optimization for mobile robot operations satisfies not only one criterion but also several criteria. In this paper, a novel multi-objective method for optimal mobile robot path planning based on Whale optimization algorithm (WOA) is proposed. In the proposed method, two criteria of distance and smooth path of the robot path planning...
A restricted hardware condition is difficult for optimization problems. This paper proposes a novel compact flower pollination algorithm for addressing the class of optimization problems in the restricted hardware condition. In this proposed method, the actual population of tentative solutions is not stored, but a novel probabilistic representation on the population is employed based on the single...
Easy convergence to a local optimum, rather than global optimum, could unexpectedly happen in practical multimodal optimization problems. The enhanced diversity agent in optimal algorithms is one of the solutions to this issue. This paper proposes a novel optimization algorithm, namely DPP, based on the communication of the particles in Particle swarm optimization (PSO), with the pollen in Flower...
Challenging task in many practical optimization applications arises from the restricted available hardware devices due to cost or space such as the sensor nodes in wireless sensor networks. This paper proposes a novel hierarchical clustering approach for wireless sensor networks to maintain energy depletion of the network in minimum using compact Genetic Algorithm. In this proposed method, new candidate...
This research focus on developing approach to innovative design problems based on the TRIZ and extension method. The proposed innovative design procedure combines the Su-Field modeling procedure, extension method and Kano-based evaluation model to improve the efficiency and extent of concept evolutions. The extensibility of matter-element helps to transform the descriptions of design problems and...
This research tries to make use of extensibility of matter-element to transfer the descriptions of design problems and solutions into creative fields. By possessing a symbolic system and transformation rules, the Su-Field analysis model can assist designers to diagnose and solve most design problems. The concrete result includes, introducing concept extension of matter-element into symbolic developments...
In this paper aims on adaptive resource allocation in maximize system throughput under total power and target bit error rate (BER) constraints propose the algorithms of adaptive resource allocation on OFDM-based (Orthogonal Frequency Division Multiplexing) cooperative communication systems. For single-source, destination and relay node environment. the optimal power allocation for the sub carriers...
Vision-based Simultaneous Localisation and Mapping (Visual SLAM) is a new hot topic in intelligent robotic applications. A new method for the implementation of a visual SLAM system with monocular vision is proposed in this paper. The general framework of our system is first displayed, and then all the main sub-processes are described step by step. In our design we use the ORB feature to represent...
With improvement in the quality of people's life and the change of their lifestyle, the demand for intelligent water dispensers is increased. This study, therefore, proposes to de-sign a service robot that can not only move autonomously but also serve people intelligently. In this paper, a solution to de-sign an intelligent water-dispensing service robot is proposed. A new integrated system architecture...
Particle filters (PF) are widely used for state estimation in non-linear and non-Gaussian environments. However, conventional particle filters possess some drawbacks such as sample impoverishment and sample size dependency. In this paper, a novel parallel hybrid evolutionary particle filter is proposed to solve those problems from the perspective of evolutionary computation. In the proposed algorithm,...
In this paper, a communication strategy for the parallelized Artificial Bee Colony (ABC) optimization is proposed for solving numerical optimization problems. The artificial agents are split into several independent subpopulations based on the original structure of the ABC, and the proposed communication strategy provides the information flow for the agents to communicate in different subpopulations...
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