Abstract：This paper introduces the present situation of enterprise human resource information system, points out the existing insufficiency at the present stage, and looks forward to the future development trend of human resource information system. This paper proposes a set of data-driven human resource information system framework according to the demand of the current enterprise digital transformation, and elaborates the technology realization mode of each layer in the framework, which provides a reliable system foundation for the enterprise digital transformation.

Abstract：In recent years, utilizing mobile charging devices to supplement the energy of wireless sensor nodes, which can eliminate the limitation on network lifetime caused by the battery power, has been a research hotspot of the wireless sensor network. In this paper, we first introduce the research actuality of the charging strategy of the wireless sensor network by using mobile charging devices from different aspects. Then, the paper summarizes research results obtained by charging strategies using mobile charging vehicle or unmanned aerial vehicle, which include charging manner selection, travelling path optimization, the number of charging device minimization, and etc. At last, the challenge and future research direction of the wireless charging policy are discussed.

Abstract：This article introduced our country industry development present situation，analyzed the problems of industrial Internet data security from both international and domestic aspects, and put forward solution for industrial Internet data security from the implementation of safety laws and regulations, establishing and improving the data security system and establishing an independent and controllable advanced technology system. It provides reference for further improving the level of industrial Internet data security in China.

Abstract：At present, there are some problems such as lag and low prediction accuracy when using gated recurrent units(GRU) neural network to predict traffic. This paper proposes an improved GRU model for traffic prediction. Firstly, based on GRU neural network, a network model integrating Bi-GRU neural network and artificial neural network is proposed, which satisfies the input of multi-dimensional vectors such as traffic features, time features and event features. At the same time, in order to improve the accuracy of some time periods, the training samples are classified into date classes, and a separate network model is generated for each type of date. It can greatly improve the accuracy of prediction and improve the lag of prediction. Finally, in order to improve the prediction accuracy of peak traffic, the experimental results show that the proposed goal can be achieved by the means of sample propensity balance and user-defined loss function.

Abstract：The Internet has an important impact on people′s life and work. However, there are a large number of harmful gambling websites hidden in cyberspace, which is easy to cause losses and troubles to netizens, it can even disturb society order. Therefore, it is of great significance to study the efficient recognition method of such websites. In this paper, the deep residual neural network is used to solve the problem of gambling web page recognition, and the algorithm GamblingRec is designed based on principle of deep residual network. The results show that the accuracy of GamblingRec reaches 95.16%, and the positive sample recall rate is 93.21%，which indicates that the method based on deep residual neural network can be applied for gambling web page recognition, and can achieve high recognition performance.

Abstract：In the digital isolator system, due to the existence of circuit parasitics and random noise, the waveform of the digital signal will be severely distorted. Aiming at this problem, a voltage-current mode high-speed Schmitt trigger is proposed, which can effectively restore the signal waveform. The main structure of the circuit uses a combination of a current amplifier and a transconductance operational amplifier. When inputting high-speed data, the current amplifier provides a fast feedforward path to increase the response speed of the comparator and realize the high-speed flip of the Schmitt trigger. This design adopts the GF_0.18 μm_BCD process, under the condition of the power supply voltage of 5 V, it can realize the shaping of the 500 MHz high-speed signal, the transmission delay of the signal is 652 ps.

Abstract：In the current self-destruction technology, the self-destruction monitoring method is single, the self-destruction execution is long, and the self-destruction is incomplete and unstable, which leads to the low success rate of self-destruction. A real-time monitoring and execution circuit system with both self-destruction monitoring and execution is designed. The circuit system designed two self-destruct monitoring methods, packaging and disassembly and power-on timing, which made the self-destruct monitoring methods more diverse and the results more accurate. At the same time, MOS tube was used as the switching characteristic to reduce the time of self-destruct execution. The experimental results show that the circuit system can carry out real-time monitoring of the working chip through the self-destruct monitoring circuit when the supply voltage is 3.3 V and the storage voltage of tantalum capacitor is 20 V. Meanwhile, the test results show that the time from the monitoring to the self-destruct signal to the start of the self-destruct execution is 0.28 ms.

Abstract：Aiming at the problem that the traditional multi-channel S-type thermocouple temperature measurement system has low measurement accuracy and each channel is quite different, a high-precision S-type thermocouple temperature measurement system based on FPGA is proposed.The system uses FPGA as controller, with modular design, and uses AD590 to perform cold junction compensation for S-type thermocouples.A high-precision ADC is used to convert the collected temperature analog signal into a digital signal and transmit it to the upper computer for display and locates the temperature value through the look-up table method to improve the temperature measurement accuracy.After many tests, it is verified that the temperature acquisition accuracy of this temperature measurement circuit is better than 0.2%F.S. At present, the circuit design has been applied to engineering practice, which provides an effective and reliable means for the design of temperature measuring circuit of S-type thermocouple.

Abstract：A large-scale and long-distance distributed explosion sound wave test system based on BeiDou satellite navigation system and LoRa wireless communication technology is proposed for the characteristics test of the acoustic signal in the far field of the explosion field. The system uses FPGA as the core controller and acquisition and storage of explosion sound wave signals is realized by using stored testing technology.Time synchronization as well as node positioning information in long-distance distributed measurement is achieved by the timing and positioning function of BeiDou satellite navigation system. On the other hand, linear spread spectrum modulation technology of LoRa is used to form a large-scaler distributed sensor network with long-distance and low power consumption. The experimental result indicates that the proposed distributed test system acquired valid data at the same time realizes time synchronization of 100 ns, positioning accuracy of 2 m and large-scale network coverage of 2 km.

Abstract：In this paper, a new gray-scale tracking sensor is designed to solve the problem that the gray-scale tracking sensor cannot automatically adjust the reference voltage when the ambient light changes. The sensor combines a microprocessor with a traditional gray-scale tracking sensor circuit. The microprocessor performs fusion calculation on the detection voltage signals collected by the multi-channel traditional grayscale sensor circuit to obtain the optimal reference voltage under the ambient light to solve the problem that the traditional grayscale tracking sensor reference voltage cannot adapt to the ambient light and there is the problem of tracking misjudgment. Experiments show that the sensor design scheme improves the tracking accuracy of the gray-scale tracking sensor and the environmental adaptability of the traditional gray-scale tracking sensor.

Abstract：The rapid increase in the number of users in wireless networks has brought huge challenges to the existing network architecture, and how to increase the system capacity effectively is an urgent problem to be solved. Due to the superior performance in improving spectrum efficiency and increasing system capacity, Device-to-Device(D2D) communication and sparse code multiple access(SCMA) as the key technics in the development of 5G in the future have been extensively studied. Aiming at the communication resource allocation problem in the SCMA system in the single-cell scenario, this paper aims to maximize the system throughput and ensure the minimum threshold rate of all users, and model it as an alliance game to solve it. Due to the problems of high complexity and slow convergence in traditional alliance game algorithms, this paper proposes to establish a priority sequence to guide the initialization and formation process of alliances, thereby reducing the number of algorithm iterations and reducing system complexity. Finally, the feasibility of the algorithm is verified by simulation.

Abstract：Applying software-defined networking to the Internet of Vehicles can significantly improve its performance. However, this method also faces security issues that traditional SDN has to deal with. This paper proposes a robust controller placement method based on the targeted node attack problem that the control plane may face in the software-defined vehicular networking architecture. This method combines the traditional SDN control plane deployment problem. Firstly, the control plane robustness problem is modeled as the connectivity redundancy problem between the switch and the controller. Secondly, a robustness metric is designed to measure the robustness of the control plane. The simulation results demonstrate that the robustness of this method is better than the deployment scheme based on delay reliability.

Abstract：To meet the requirements of human-computer interaction of OpenFOAM deployed in the cloud GUI, this paper designs and implements an OpenFOAM mesh generation client software. The client software uses plug-in architecture design, which consists of public module, custom module and mesh generation plugins. The GUI of mesh generation is implemented by plugins, which improves the scalability of the software.The client and the OpenFOAM service deployed in the cloud form a C/S architecture. The client remotely invokes the OpenFOAM mesh generation computing service on the cloud through the mesh generation protocol, and builds a user interaction interface according to the service interface specification, realizing cloud collaboration mesh calculation function. An example of mesh generation is given to illustrate that the client software can implement a complete mesh generation process by remotely invoking the service.

Abstract：Based on the classification and application of the kernel based extreme learning machine(KELM)，combined with the strong global optimization ability and fast convergence characteristics of the lion swarm optimization(LSO) algorithm, an LSO optimization KELM algorithm is proposed. The test accuracy is taken as the fitness function of LSO to optimize KELM, and the evaluation standard for data classification test is obtained according to the mobile position to obtain the optimal fitness value. Using UCI data set simulation test, the experimental results show that compared with KELM classification, LSO optimization KELM can obtain better classification accuracy. Compared with sparrow search algorithm(SSA) optimization KELM, LSO optimization KELM has faster convergence speed and better classification performance.

Abstract：This article focuses on network information cryptography technology.The strategic significance of cyberspace has become increasingly prominent. Technologies such as artificial intelligence, edge computing, and dynamic reconfiguration are widely used in cyberspace. In the future, network information systems will also face new threats and attack risks while introducing emerging technologies. This paper focuses on the characteristics of future network information system multi-domain integration, ubiquitous perception, intelligence, service customization and endogenous security, conducts security and confidentiality demand analysis and security threat and risk analysis, and designs a technology including cryptographic software and hardware platform technology, cryptography algorithms and protocols, cryptographic applications and security goals, hierarchical cryptographic architecture oriented to the future network information system.

Abstract：In this paper, a virtual training system based on VR and AR technology for cable connector fabrication is presented. Firstly, the cable connector fabrication circumstance is reconstructed through virtual reality and augment reality technology, and the cable connector components and primary tools are added into the circumstance for the trainees to use. Secondly, the hand gestures of trainees are caputured and recognized by means of deep learning method and compared with the stardand gestures to check the normalization of these gestures. So the trainees can be assessed during the whole course of training process and obtain a better feedback results. The whole system consists of four parts: theoretical study, cable connector fabrication simulation, troubleshooting and assessment. Because the electric porwe operation scenes are highly reconstructed in the simulation system, it can bring a safe environment without a litttle danger for training person so that the risk is lowered and training efficiency is boosted. Moreover, the system can help to improve the standardization of operation for all the cable connector fabrication people.

Abstract：Aiming at the problem that GAMP software lacks the function of real-time precise point positioning at this stage, this paper analyzes and studies the principle and process of the post precise point positioning algorithm in the software, compares the different data sources and processing methods of the real-time and post precise point positioning, and combines with the processing method of existing real-time data processing software. On the basis of GAMP, a real-time data stream receiving and preprocessing module is added. At the same time, the source of satellite precise orbit and clock bias changes from post precise ephemeris file to broadcast ephemeris combined with real-time corrections. Through the real-time precise point positioning experiment of four stations and UBLOX-F9T module, it can be found that the static real-time precision point positioning accuracy can reach centimeter level and the dynamic accuracy can reach decimeter level, which meets the needs of real-time precise point positioning.

Abstract：In order to solve the problems of the traditional non-intelligent cycling platform with single function, no data interaction with the cycling platform client, uneven resistance adjustment, general riding experience, an embedded intelligent riding platform based on FreeRTOS real-time operating system is designed. The design scheme of riding resistance selects the magnetoresistive type, which aims to reduce the noise and improve the riding experience. In terms of hardware circuit, the main control module, power supply module, speed measurement module and magnetoresistance control module are designed according to the functional needs of the system. The program design part includes Bluetooth communication, ANT+ communication, speed calculation, power fitting, sleep and wake-up, and magnetoresistance control. Finally, an experimental device is made to test the wireless communication function, gear control function, and client adaptation function of the riding platform. The experimental results show that, the system has good real-time performance and high reliability, which can meet the preset functional requirements.

Abstract：A six-channel audio signal evaluation system based on FPGA is designed and implemented.64 kS/s 16-bit analog-to-digital converter(ADC) AD73360 is used to sample common-used audio signals. A nested state machine is adopted to pump input data into a FIFO according to states jumps. The data in FIFO is uploaded into the MATLAB GUI(Graphical User Interface) on computer by USB protocol. The GUI is used to process data and display the results. The system is equipped with auxiliary ARM to calculate and correct the baud rate of communication between FPGA and GUI, keeping from losing codes. The results show the system can sample audio signals in a high precision. The system provides a whole solution for sampling audio signals with true fidelity.

Abstract：For semiconductor devices, such as IGBT，the high junction temperature will seriously affect the operation characteristics, and such affect the reliability of power electronic devices constructed by them. The real-time on-line temperature monitoring technology based on NTC thermistor is proposed in this paper. By using the negative temperature coefficient(NTC) thermistor integrated inside IGBT module, temperature signals are converted to frequency signals and transferred to the logic processing chip(CPLD) via fiber isolation. The temperature is displayed in real time on computer after logic processing. It has the advantages of high reliability and accurate display. Finally, an engineering prototype of real-time on-line temperature monitoring technology is built to verify the effectiveness of this technology by testing the frequency values at different temperatures under the experiment of the power electronic device.

Abstract：For the dynamic characteristics of communication power supply when there is an inflow of big data traffic, a design of half-bridge LLC resonant converter based on variable universe fuzzy-PID control is proposed, which can realize the fast response control. Based on the traditional-PID control, it′s also adopted fuzzy mathematics and fast scalar multiplication algorithms that can help to improve the fast convergence characteristic of the system. Later, MATLAB/simulink software was used to simulate this strategy, compared with the traditional PID control scheme. Finally, an experimental prototype was designed for experimental verification. The experimental results show that the LLC resonant converter under variable universe fuzzy PID control has faster response speed and better dynamic characteristics.

Abstract：In order to make better use of RF energy of space radio waves, a broadband antenna covering resonant frequency from 1 to 14 GHz is designed, and a rectified antenna is designed for 2.4 GHz. The main part of the antenna is a circular patch. By opening a circular slot on the ground, the surface current intensity of the radiation unit is changed to achieve broadband resonance and enhance radiation. The antenna is the best resonant point at 2.4 GHz, and the maximum gain corresponding to this frequency band is 6.26 dBi. In order to miniaturize the rectifier antenna, the matching rectifier circuit and the collecting antenna are integrated.After testing: the maximum conversion efficiency of the rectifier antenna at 2.4 GHz is 56.76%, and the corresponding maximum output DC voltage is 2.61 V.

Abstract：Aiming at the wide measurement range of weak dynamic electric field signals in marine electromagnetic exploration, a method of Programmable Gain Ultra Low Noise Acquisition(PGULNA) for electric field signals is proposed in this paper, and the system design and implementation are given. The designed programmable gain ultra-low noise acquisition circuit takes the low-noise operational amplifier as the core, takes the internal resistance network of the D/A converter as the programmable feedback resistor, and adjusts the circuit gain by changing the digital control quantity of the D/A converter. The theoretical noise analysis of the designed PGULNA circuit is given, and the theoretical analysis result of background noise density is 1.84 nV/√Hz@1 Hz. The laboratory environment test results show that the consistency between circuit channels is good, the background noise density is about 2.6 nV/√Hz@1 Hz, and the programmable gain can be adjusted from 1 to 128 times by 8 levels, which can meet the requirements of collecting weak electric field signals in a wide measurement range in Marine electromagnetic exploration.