AIEE

The new conscious learning mode here is end-to-end (3D-to-2D-to-3D) and free from annotations of 2D images and 2D motor images, such as a bounding box for a patch to be attended to. The algorithm directly takes that of the Developmental Networks that ...

TWSVM is an algorithm model with good classification performance in machine learning. By finding two non-parallel hyperplanes, the model makes any hyperplane as close as possible to one kind of data and as far as possible to the other kind of data. In ...

The relationship between Facebook posts and the corresponding reaction feature is an interesting subject to explore and understand. To achieve this end, we test state-of-the-art Sinhala sentiment analysis models against a data set containing a decade ...

The dosage of coagulant plays a critical role in ensuring effluent quality, however the complexity of the coagulant chemical theory and affected by many factors (turbidity, pH, conductivity, flow rate, etc.) that it is difficult to determine the optimal ...

Self-driving car is an intelligent vehicle that can sense the surrounding environment and navigate without driver manipulation. Self-driving car technology can be traced back to the 1920s and 1930s, but with the development of key technologies and the ...

Abstract: As the distribution network business hub, the distribution network production command center faces the need to improve the efficiency of the distribution network production command business. This article draws on international mainstream ...

Facing the design and development of complex products, the traditional design innovation model cannot complete the design problem well. The main reason is that there are many factors in the design process, but the process design process cannot solve the ...

Abstract. With the accelerated integration of artificial intelligence technology in the intelligent manufacturing process and the international production division networks, its impact on the evolution of the global value chain needs further in-depth ...

Abstract: With the development of cutting-edge technologies such as artificial intelligence, Internet of things, big data and cloud computing, the fresh e-commerce and logistics distribution industry will usher in a comprehensive intelligent era. The ...

At present, many indoor scene classification algorithms are based on abstract feature descriptions and lack semantic interpretation for classification results. For robot applications, these classification methods fail to reuse prior knowledge of ...

Dissolved gases in oil analysis has been a significant conventional condition detection method for condition evaluation for power transformers. But false data and wrong data do exist in DGA on-line monitoring system, which often lead to misjudgment. To ...

Abstract: A metrology verification device for dynamic detection of road traffic interval velocity measurement system using GNSS (Global Navigation Satellite System) technology is introduced in this paper. It uses C8051F500 microcontroller as the main ...

Abstract. The security of the elderly in an aging society has become a social problem attracting much attention, among which the problem of secondary injury caused by the fall has attracted wide concern of researchers. The application of fall detection ...

This article presents the design and prototyping of an electronic mask as personal protective equipment for the virus pandemic known as COVID – 19. Needs were identified such as: tightness and comfort. Requirements for use for long periods of time; this ...

Metros have been becoming a mainstream means of transportation in China. The research of various aspects of metro transportation has developed rapidly. However, how to construct a practical control model has always been a research hotspot. In this paper,...

Abstract: Based on reverse engineering, this paper collects 3D data from the car rearview mirror to obtain point cloud data. The geometric data of the three-dimensional model is processed by the reverse software Geomagic. Use Solidworks software to ...

Abstract: Online tool monitoring is an inevitable requirement for the development of intelligent manufacturing systems. The existing problem of the non-image tool wear direct measurement method is Low accuracy and low efficiency. The common problem of ...

In order to improve the quality and efficiency of the cotton industry and control the serious problem of residual film pollution in cotton fields, it is imperative to carry out mechanized residual film recovery. However, there are many problems with ...

Abstract: Regarding the agronomic requirements of the combined operation machine of cotton straw crushing and returning to field and residual film recovery, the existing straw crushing and returning machines cannot are still insufficient. In this work, ...

Abstract: In view of the situation that the potatoes need to be picked up manually in the segmented harvest, a small self-propelled potato pickup machine that can replace picking potatoes by hand is designed. In this paper, we analyze the influence of ...

Abstract: In order to solve the problem of poor separation effect of soil and potato during mechanical harvest of potato in sticky soil, a potato soil separation device with lateral laying of potato was designed. The amplitude of shaking wheel, linear ...

Abstract: Pumps and valves are generally indispensable parts of the hydraulic system and a component that integrates the functions of pumps and valves plays an important role in the integration and lightweight development of hydraulic systems. In this ...