ICRAI

Text classification primarily from learning these two classifications based on semantic understanding and based on supervised machine to consider. Questions also consist of text, so the questions to achieve automatic classification are the ...

We propose computer vision based approach for effectively computing the vegetation coverage of the image to determine the structure of the vegetation and to understand wildlife habitat. To deal with the variation of lighting condition, two-stage ...

ELM is an efficient algorithm for single-hidden feed-forward networks, but, with the increase of data, it is weak in some points, such as computational complexity and network structure, so by introducing principal components analysis, a new improved ELM ...

In view of the advantages and disadvantages of particle swarm optimization (PSO) algorithm, an improved adaptive chaos optimization particle swarm optimization (ACPSO) algorithm is proposed. The chaos system has the characteristics of ergodicity, ...

The facility layout problem (FLP) is a fundamental problem of combinatorial optimization encountered in manufacturing and administrative organizations; it is concerned with the arrangement of a number of facilities so as to minimize the cost resulting ...

It is inefficient when the target changes in pose variation, scale and partial occlusion. In this paper, a new target tracking algorithm with collaborative sparse representation of multifeature is proposed, which is based on the particle filter ...

When a complex scene such as rotation within a plane is encountered, the recognition rate of facial expressions will decrease much. A facial expression recognition algorithm based on CNN and LBP feature fusion is proposed in this paper. Firstly, ...

This paper presents a new simple method to determine the intrinsic parameters of camera suffering from radial lens distortion. First, it is based on a single image and used the assumption that the principal point is set as the distortion center, under ...

Monocular Visual odometry is an important technique in mobile robot localization and navigation. This paper first empirically studies two kinds of commonly used monocular visual odometry (MVO): descriptor-based methods and optical flow based methods. ...

In the visual robotics area, we should dope out a solution to detect small objects. We need to explore much more precise detection methods to achieve better performance. In this paper, a small object detection method based on the Relevance Vector ...

This paper presents an approach for navigating an autonomous agent in a simulated room environment with multiple obstacles. It presents a technique for depth map estimation using stereoscopic images - a vital intermediate technique for autonomous ...

The application of big data techniques will contribute to the transforming and upgrading in shipbuilding industry and produce a profound influence in the development of intelligent ship. An overall framework of shipbuilding big data platform is ...

Aircraft conflict detection plays a main role in the air traffic controller's task to maintain flight safety. Due to the impact of uncertainty on the aircraft motion, in particular, stochastic winds, the actual trajectory differs from the planned ...

In recent years, the localization of a vehicle has become an important task in the field of intelligent transportation systems (ITS). It is well known that sensor fusion helps to create more robust and accurate systems for autonomous vehicles. This ...

This paper presents the definition of tensor fields of type (r, s) on C1 fuzzy compact manifolds, and in view of the fact that the definition is abstract concept, therefore presents the theorem which concretely shows the local expressions of tensor ...

EEG-based control is increasingly being studied to support disabled people. The good results of EEG signal classification will help make control more effectively. In this paper, a novel approach proposes the classification of EEG signals based on the ...

This paper studies the event-triggered output feedback control for uncertain linear control systems. Firstly, an event-triggered control system with an output feedback controller is studied. Secondly, stability criterions are established to guarantee ...

In this paper, the consensus problem of second-order multi-agent systems is investigated. Distributed static event-triggered control and dynamic event-triggered control are developed for the agents to reduce the frequency of actuator updating thus save ...

As fractional order chaotic system (FOCS) is the deterministic and nonlinear system which displays unpredictable, noisy and complex behavior. The vast applicability of FOCS in physics and engineering is accompanied by a problem of synchronization. The ...

At present, the control of intelligent robots is too simple, and the control process of the robot is insecure. We put forward a set of MFC host control system for safe operation of the robot. The system is in the form of the combination of the host ...

This paper presents a novel approach based on the particle swarm optimization (PSO) for globally localizing a mobile robot with a single laser scan, under the assumption that the initial pose of the robot is unknown. The environment map is first ...

In the current emotional robot task allocation, emotional attenuation will cause the task to be reallocated and produce additional time-consuming, the existing algorithm does not estimate the emotional attenuation of the robot, then many allocated robot ...

Machine translation has witnessed many advances in recent years and has become ever more accessible. However, no matter how good an automated translation is, a proficient human translator does a better job. In this project, we attempt to identify areas ...