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This paper is aimed to evidence some relevant aspects related to the optimization of machining processes. There are studied two widely used machining procedures, that are drilling and grinding. Materials to be machined are obtained by special techniques and have special mechanical characteristics, that do need special machining conditions. The optimization is based on determining regression models for process output variables studied and on decentralized, distributed real-time control system based on the virtual projection method. [ABSTRACT FROM AUTHOR]

This paper investigates the behavior of the Nao humanoid robot moving and avoiding obstacles in virtual environment and the integration in the Versatile Intelligent Portable Robot Platform (VIPRO). In order to achieve better results the robot walk was developed using a preview controller and the object that Nao will find in his path is pre-processed and stored in robot database. The stability during the walk was achieved by using the ZMP method which allows the dynamical control of the mechanism. [ABSTRACT FROM AUTHOR]

In this paper we analyze and compare several tools of robot simulation. The conducted analysis is aimed to provide a background for choosing the right simulation tool to be integrated into the VIPRO platform which is needed for virtual testing and simulation of the NAO robot. The dynamic simulations required to proper test the behavior of the robot must be made in a high fidelity environment. The results obtained from the analysis have provided not only the means to choose the best tool for the required virtual specifications of VIPRO platform but also a list of tools which a researcher can use according to his needs. [ABSTRACT FROM AUTHOR]

The paper refers to a method and device for controlling the haptic robot designed for moving and navigating of the robots in uncertain environments, allowing actuation in crisis situations or natural disaster in which human life is in danger. An innovative haptic robot control system, in real time with the increase of motion stability, avoiding obstacles, the variable speed or forces, at a low cost and higher performances is developed, with applications in transportation of nuclear materials, military applications, space experiments, MEMS /NMM applications, applications on inaccessible land. [ABSTRACT FROM AUTHOR]

Neutrosophic LA-semigroup is a midway structure between a neutrosophic groupoid and a commutative neutrosophic semigroup. Rings are the old concept in algebraic structures. We combine the neutrosophic LA-semigroup and ring together to form the notion of neutrosophic LA-semigroup ring. Neutrosophic LAsemigroup ring is defined analogously to neutrosophic group ring and neutrosophic semigroup ring. [ABSTRACT FROM AUTHOR]

In this paper we extend soft neutrosophic rings and soft neutrosophic N-ring. We have given examples and soft neutrosophic fields to soft neutrosophic birings, to illustrate the theory of soft neutrosophic birings, soft soft neutrosophic N-rings and soft neutrosophic bifields neutrosophic N-rings and soft neutrosophic fields and and soft neutrosophic N-fields. We also extend soft neu-soft neutrosophic N-fields and display many properties of trosophic ideal theory to form soft neutrosophic biideal these. [ABSTRACT FROM AUTHOR]

In this paper we present the generalization of neutrosophic rings and neutrosophic fields. We also extend the neutrosophic ideal to neutrosophic biideal and neutrosophic N-ideal. We also find some new type of notions which are related to the strong or pure part of neutrosophy. We have given sufficient amount of examples to illustrate the theory of neutrosophic birings, neutrosophic N-rings with neutrosophic bifields and neutrosophic N-fields and display many properties of them in this paper. [ABSTRACT FROM AUTHOR]

Interest in the synthesis and fabrication of gallium oxide (Ga2O3) nanostructures as wide bandgap semiconductor-based ultraviolet (UV) photodetectors has recently increased due to their importance in cases of deep-UV photodetectors operating in high power/temperature conditions. Due to their unique properties, i.e., higher surface-to-volume ratio and quantum effects, these nanostructures can significantly enhance the sensitivity of detection. In this work, two Ga2O3 nanostructured films with different nanowire densities and sizes obtained by thermal oxidation of Ga on quartz, in the presence and absence of Ag catalyst, were investigated. The electrical properties influenced by the density of Ga2O3 nanowires (NWs) were analyzed to define the configuration of UV detection. The electrical measurements were performed on two different electric contacts and were located at distances of 1 and 3 mm. Factors affecting the detection performance of Ga2O3 NWs film, such as the distance between metal contacts (1 and 3 mm apart), voltages (5–20 V) and transient photocurrents were discussed in relation to the composition and nanostructure of the Ga2O3 NWs film. [ABSTRACT FROM AUTHOR]

In this paper, an intelligent water shooting robot system for situations of carrier shake and target movement is designed, which uses a 2 DOF (degree of freedom) robot as an actuator, a photoelectric camera to detect and track the desired target, and a gyroscope to keep the robot's body stable when it is mounted on the motion carriers. Particularly, for the accurate shooting of the designed system, an online tuning model of the water jet landing point based on the back-propagation algorithm was proposed. The model has two stages. In the first stage, the polyfit function of Matlab is used to fit a model that satisfies the law of jet motion in ideal conditions without interference. In the second stage, the model uses the back-propagation algorithm to update the parameters online according to the visual feedback of the landing point position. The model established by this method can dynamically eliminate the interference of external factors and realize precise on-target shooting. The simulation results show that the model can dynamically adjust the parameters according to the state relationship between the landing point and the desired target, which keeps the predicted pitch angle error within 0.1°. In the test on the actual platform, when the landing point is 0.5 m away from the position of the desired target, the model only needs 0.3 s to adjust the water jet to hit the target. Compared to the state-of-the-art method, GA-BP (genetic algorithm-back-propagation), the proposed method's predicted pitch angle error is within 0.1 degree with 1/4 model parameters, while costing 1/7 forward propagation time and 1/200 back-propagation calculation time. [ABSTRACT FROM AUTHOR]

Large scale, complex, networked enterprises, as may be considered (trans)national energy systems, multi-national manufacturing enterprises, smart cities a.s.o. are structures that can be characterized as systems of systems (SoS) and, as such, require specific modelling paradigms and control architectures to ensure their successful running. Their main characteristic is the necessity of solving practically one-of-a-kind problems with respect to the external context and internal configuration, thus dealing with dynamically evolving flows of data and information. The paper introduces the concept of intelligent cyber-enterprise, as an integrating paradigm that uses information and knowledge dynamics, in order to model and control SoS, especially focusing on the importance of appropriately adapt external and internal perception of an enterprise through a new generation of sensorial systems—the perceptive interfaces. The authors analyze sensing and perception in relation to intelligent cyber enterprise model and propose an implementation for a perceptive system interface. [ABSTRACT FROM AUTHOR]

The interaction between humans and an NAO robot using deep convolutional neural networks (CNN) is presented in this paper based on an innovative end-to-end pipeline method that applies two optimized CNNs, one for face recognition (FR) and another one for the facial expression recognition (FER) in order to obtain real-time inference speed for the entire process. Two different models for FR are considered, one known to be very accurate, but has low inference speed (faster region-based convolutional neural network), and one that is not as accurate but has high inference speed (single shot detector convolutional neural network). For emotion recognition transfer learning and fine-tuning of three CNN models (VGG, Inception V3 and ResNet) has been used. The overall results show that single shot detector convolutional neural network (SSD CNN) and faster region-based convolutional neural network (Faster R-CNN) models for face detection share almost the same accuracy: 97.8% for Faster R-CNN on PASCAL visual object classes (PASCAL VOCs) evaluation metrics and 97.42% for SSD Inception. In terms of FER, ResNet obtained the highest training accuracy (90.14%), while the visual geometry group (VGG) network had 87% accuracy and Inception V3 reached 81%. The results show improvements over 10% when using two serialized CNN, instead of using only the FER CNN, while the recent optimization model, called rectified adaptive moment optimization (RAdam), lead to a better generalization and accuracy improvement of 3%-4% on each emotion recognition CNN.