Computer Vision For Intelligent Robots With AIRS

At present, there are more researches on the automatic driving technology of unmanned vehicles. It needs a main control unit, which enables the vehicle to automatically drive. The main control unit supports the access of various sensors and controllers. It can process data of each device and control the movement state of vehicles. Therefore, the main control unit needs to be tested repeatedly to ensure its functionality and stability. Based on Prescan simulation software and Matlab/Simulink software, this paper studies a hardware-in-the-loop (HIL) test system for testing the main control unit of unmanned vehicles according to the communication protocol and communication method of the real sensor and controller hardware devices. At the same time, this paper studies a simulation method of the main control unit, which can effectively verify the function of the test system and conduct the feasibility test of the communication protocol and communication method used.

Smart home is a house that uses information technology to monitor the environment, control the electric appliance and communicates with the outer world. Smart home is a complex technology, at the same time it is developing. A sample house environment monitor and control system that is one branch of the Smart home is addressed in this paper. The system is based on the embedded system and can act as a security guard of the home. The system can monitor the temperature, humidity, gas density, water immersion of the house and have infrared sensor to guarantees the family security. The system also has network and telephone connection to receive the owner's command and send the alert to the owner. The whole system includes a main control unit and input/output unit. The main chip of the main control unit is the S3C44B0X that is a 16/32 bits RISC processor and based on ARM7 core. In the main control unit, the use of 5 inch LCD and the touch screen provide a well user interface for handlers, the LAN/telephone interface provide the tools to communication. The muC/OS-II software core manages the whole unit work as a whole system. The input unit includes many sensors and its circuit, the information form the input unit is a base of the main control unit. The output is the action part of the main control unit it drives the alert and the switch of the electric appliance

The paper presents the conceptual model and the Proof of Concept of a complex mechatronic system which can executes predefined sequential motion cycles, used to create biofeedback reaction in order to improve the human neuromuscular control, the lower limbs muscles endurance and the coxo-femoral joints mobility. This mechatronic system can be an extremely useful tool in physical therapy, sports, medicine and rehabilitation. The system comprises three parts: a portable data acquisition and wireless transmission electronic module that performs complex analysis of the numerical values acquired from tactile force sensors, a stationary automation panel containing a Main Control Unit (MCU) and digital signal interfaces and a complex mechanical cinematic assembly consisting of solenoid valves, pneumatic cylinders and various mechanical parts. The numerical values of the reaction force are acquired from force signal conditioners, filtered and wireless transmitted to a stationary automation panel. The MCU electronic module is programmed to run a specific software application that ensures the proper execution of the motion cycles in order to obtain the feedback control from the human subject. This is due to the fact that the numerical signals and events issued or received by hardware components of the automation panel (digital inputs/outputs, operator panel action, wireless received data) has to be taken into consideration. This complex mechatronic system is a working progress research project.

In Dynamic Learning Pattern Recognition, the progress needs new ways of reliably detecting and describing dynamic patterns in big data. Additionally, based on the above research, this thesis proposes a novel cycle of the development of the dynamic learning pattern recognition through the combination of Enhanced Prefix Span Algorithm Model, as well as Long Short-Term Memory (LSTM) networks. An important part of our work in solving the issue of identifying dynamic patterns in textual data in online caselaw finding applications of sequential pattern mining methods and deep learning methods. On that basis, this study will then accelerate the traditional PrefixSpan algorithm to extract the sequential patterns of the data set taking into consideration the dynamic nature of the pattern. Then add LSTM networks to model and learn such sequential patterns and thus identify long term dependencies and time information. The suggested methodology has been researched and the performance of the designed methodology compared to other classifiers such as MultinomialNB, Logistical Regression. The findings demonstrate the high performance of the proposed model whose accuracy, recall, and F1-score are 98.45, 98.62, and 97.3, respectively. This study is to combine sequential pattern mining with the deep learning, which serves to the advancement of dynamic learning pattern recognition methods and to give certain promising suggestions in the cases such as natural language processing and predictive modeling. It is an effort by python implementation to promote the efficiency and precision of recognition of learning patterns in different modalities. Here, we apply it in assembling a sound framework of the effective recognition and adaptation to changing patterns within textual data to assist in enhancing and more efficient learning on a variety of modalities in different situations.

As fast development of semiconductor industry，equipment using PLC as main control unit has been widely used. Wafer chemical etching machine based on PLC control technology has some unreasonable design, causing the low process efficiency. After electronic control system upgrade, UPH is to increase 220%, water consumption is to decrease 39% and power consumption is to decrease 69%.

The rolling mill is a kind of mechanical equipment which rolls steel ingot or billet continuously into steel. This paper selected 1150 blooming mill as research subject. In order to realize the automatic control of 1150 blooming mill, hydraulic screw-down devices and the automatic control system of hydraulic screw-down position are used, and Siemens PLC is chose as the control system's main control unit. Then industrial control technologies are used, such as DC digital controller, touch screen, photoelectric-interrupter type position sensor.

In the fifth-generation (5G) network, dependency on the cellular platforms increases due to an increase in the number of cellular and wireless devices. In such network, a hotspot situation arises when the user density goes beyond the threshold capacity. To reduce the load of this hotspot we have proposed a traffic-aware proactive load balancing (TPLBA) strategy. This strategy used a feedback approach to monitor and control the traffic load at the cellular base station or gNodeB. When the traffic load goes beyond a certain value, the main control unit (MCU) present at the base band unit (BBU) takes preventive actions by putting one or more number of F-RRHs at the probable hotspot. These F-RRH share the traffic load of the gNB to maintain the quality-of-service (QoS) of the cellular network. To implement the proposed strategy, we have used Tu-Vienna LTE simulator. Further, the simulation results show that the proposed TPLBA algorithm significantly improves the QoS by improving UE throughput, UE spectral efficiency, and blocking probability.

The programmable logic unit (PLU) has been proposed to realize a high‐speed operation. The idea is to perform computation obtained by a static data flow scheme using the stepwise arithmetic logics distributed in the memory. This paper describes the configuration of the prototype PLU, the basic concepts of the computation and the synchronization between the PLU and the main control unit (CU). Then theoretical discussions are made on the computation time for the arithmetic and the iterative programs. It is shown that the high‐speed processing is realized by the effects of the parallel computation and of the pipelined computation, mapping many templates of a loop program on the PLU. Furthermore, the multiprogramming for the computer with PLU is proposed to utilize effectively the waiting time for the computation in the PLU. The throughput improvement is indicated by theoertical analysis, comparing the computer using PLU with the traditional sequential computer. Finally, the usefulness of the PLU is demonstrated.

In this paper, researches have been carried out on how to improve microprocessor system reliability using fault tolerant theory and technique. A kind of three module redundant fault-tolerant microprocessor system structure has been proposed which can mask both transient fault and permanent fault. This fault-tolerant system has been realized in hardware using microcontroller 80c552 as core. The fault-tolerant system consists of three functional modules with the same hardware and a fault-masking network. The three modules are alternative in function and the fault-masking network is used for fault-detection and fault-tolerance. The fault-tolerant microprocessor system has been applied in robotization automatic drilling machine and as the main control unit which executes key tasks. Its powerful fault-tolerance and high reliability have been proved by practice.

For high-speed data acquisition and real-time transmission and processing requirements of ultrasonic measurement system, a wireless USB-based ultrasonic data transmission method was presented, combining wireless communication technology with the advantages of USB interface technology. The system consists of ultrasonic signal acquisition module, data transmission module, data acquisition module and the computer. The system uses Cypress Semiconductor's PSoC CYRF69213 chip for wireless data transmission and the chip microcomputer inside as the main control unit. This chip recorded data to the computer and displayed through USB interface. The system is a single-chip USB interface design with very few external components. The system has an USB interface advantages such supporting hot-swappable, plug and play features and the realization of wireless transmission of data without the need for layout of communications cables. The transmission system has good stability, small size, low power, high-performance features, which has a good application prospects.

Design and manufacture a multi-function verification device for electric vehicle DC charging pile. This device is suitable for all levels of measurement department, charging pile Use Company and DC charger manufacturer. The accuracy of the DC charging pile verification device is 0.05, which is used for full-function verification before charging pile installation. It is mainly composed of high-precision standard electric energy meter, high-power program-controlled DC electronic load, main control unit and various functional modules. The DC charging pile verification device adopts the latest design technology and has stable and reliable performance.

For qualifying the reliability and enhancing the performance of automotive power electronic unit (PEU), a testing system based on energy-consuming platform is developed, which adopts advanced sensing and automatic control technologies to simulate the real working environment of PEU. The system mainly includes high and low voltage energy supply units, electronic load unit, dummy load units, hydraulic water cooling unit, test console unit, temperature control unit and main control unit, and experiments are implemented on the system for PEU products. Meanwhile, system capability index CGK and GR&R are 1.912 and 2.74% separately calculated by measurement system analysis (MSA) method used data obtained from a large number of tests, which indicates that the accuracy, stability and repeatability of testing system are excellent. All analysis results demonstrate that the system meets the performance indicator requirement of testing, and can provide accurate test data for the development of PEU.

In this paper, an architecture of a ZigBee wireless sensor network for application in smart irrigation system is proposed. After a brief overview of the most important features of ZigBee standard related to Wireless Sensor Network (WSN) operation, Arduino-based sensor node for acquisition of soil moisture and air temperature is described. This node is equipped with XBee S2 communication module in order to be part of the established WSN. Furthermore, we presented the reception of the collected data on the main control unit, designed on the Waspmote microcontroller platform equipped with XBee S2 coordinator. All necessary steps required to establish the communication between Waspmote platform and XBee S2 coordinator device are described, even though Waspmote platform is designed to communicate only with Xbee routers and end devices. Proposed architecture allows flexible implementation with reliable data transfer that provides necessary information for autonomous decision-making in smart irrigation system.

In the modern industry, electro-hydraulic actuators (EHAs) have been applied to various applications for precise position pressure/ force control tasks. However, operating EHAs under sensor faults is one of the critical challenges for the control engineers. For its enormous nonlinear characteristics, sensor fault could lead the catastrophic failure to the overall system or even put human life in danger. Thus in this paper, a study on mathematical modeling and fault tolerant control (FTC) of a typical EHA for tracking control under sensor-fault conditions has been carried out. In the proposed FTC system, the extended Kalman-Bucy unknown input observer (EKBUIO) -based robust sensor fault detection and identification (FDI) module estimates the system states and the time domain fault information. Once a fault is detected, the controller feedback is switched from the faulty sensor to the estimated output from the EKBUIO owing to mask the sensor fault swiftly and retains the system stability. Additionally, considering the tracking accuracy of the EHA system, an efficient brain emotional learning based intelligent controller (BELBIC) is suggested as the main control unit. Effectiveness of the proposed FTC architecture has been investigated by experimenting on a test bed using an EHA in sensor failure conditions.

A weigh-in-motion device is developed to solve defects in the current method. A vehicle carrying capacitive sensor is adopted as the load weighing component, and an embedded MCU is used as main control unit in this device. The device achieved real-time monitoring and displaying for static loads, transient loads and overloads of vehicle. An alarm is issued if vehicle is overloaded. The information of vehicle loads may be send to inspectors by wireless communication device. The test results show that the measurement error of this device is less than 10% and its precision is better than one class WIM system provided by ASTM E131-02.