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Trains are one of the most popular public transportations in Indonesia. The data from the Indonesian Central Bureau of Statistics show an increasing trend in the number of train passengers in Indonesia. However, the improvement of the railway network and service is needed. This study aims to forecast the number of railway passengers in Indonesia to help the government make appropriate improvements in the railway system for the future and evaluate the potential loss due to COVID-19. We use the data from the Indonesian Central Bureau of Statistics, from January 2006 to February 2020 and assume that there is no pandemic of COVID-19. The two models we use are Backpropagation Artificial Neural Network (BPANN) and Seasonal ARIMA (SARIMA). To find the best model, we observe BPANN with various parameters and the potential SARIMA models in MATLAB and R software, respectively. Our finding is that Backpropagation Artificial Neural Network of 12-5-1 with a learning rate of 0.001 has a smaller root mean squared error (RMSE) compared to SARIMA (2,1,0)(0,1,2)12. Hence, it yields a more accurate forecast of the number of train passengers, which helps the railway company to improve and understand the loss due to COVID-19 accurately.

There are differences among programming languages. In contrast to C/C++ in Linux, standard Java timer has some issues, such as uncontrollable execution order, unpredictable start moment and running duration, when it’s applied to handle dense timing tasks. So it could not be directly used by some military applications with strict requirements on time sequence. In this paper, its root cause is analyzed, and then an improved method based on queue and delay feedback is presented, as well as its implementation flow chart. The test results show that, this method is able to not only ensure the correct execution order, but also reduce the uncontrollable delay. So it could satisfy the time sequence demand of military applications.

In order to improve the complexity of chaotic mapping and the security of image encryption algorithms, this paper proposes a new coupled three-dimensional chaotic system based on sine mapping and lorenz mapping. Based on this chaotic system, a new color image encryption algorithm is proposed, which performs index position scrambling and Arnold scrambling on the bit plane of the plaintext image, and then performs an XOR diffusion operation on the scrambled ciphertext to obtain the final ciphertext image. Simulation experiments show that the algorithm has a large key space, a small image correlation coefficient, an information entropy value of 7.9921, and a good encryption effect.

Sparse code multiple access (SCMA) is able to provide high spectral efficiency and massive connectivity, hence it is considered as a promising scheme for the fifth generation (5G) systems. This paper proposed a radio resource allocation scheme based on deep learning for SCMA systems, with the aim to automatically avoid the inter-cell interference. A long short term memory (LSTM) network is adopted to learn the past interference characteristics and predict the interference power in the current subframe. Radio resource blocks with less predicted interference power are then selected for users to transmit signals. Simulation results show that the proposed scheme outperforms the moving average prediction method and has significant gains over the random radio resource block allocation in terms of achievable bit error rate in SCMA systems.

In the article, the protocol for key pre-distribution using a threshold scheme is proposed. The Blom pre-distribution scheme is used as the basis. Shamir secret sharing scheme is used for threshold scheme. A polynomial of three variables is used to form key materials. Messaging between users is required to generate a key. The threshold scheme (3,4) is used to calculate the encryption key.

The research on wide-area backup protection for high-voltage transmission lines has made certain progress in recent years, but there are few reports published on substation-area backup protection for low-voltage 10kV transmission lines. Based on the characteristics of shared information in intelligent substation, a substation-area backup protection scheme to deal with the failure of 10kV line protection device is proposed in this paper. This scheme uses the device self-test information and heartbeat mechanism to monitor the operation status of 10kV line protection devices; to realize the substation-area backup protection for the 10kV transmission lines when any line protection device fails, the protection criterion is constructed by the action results of power directional elements of transformer protections and other 10kV line protections. The proposed scheme can greatly improve the speed of the fault isolation and has low requirements for data demand and synchronization. PSCAD simulation results show that the proposed method is with high correctness and feasibility.

With the arrival of the era of big data, people have gradually realized the importance of data. Data is not just a resource, it is an asset. This paper mainly studies the realization of Web data mining technology based on Python. This paper analyzes the overall architecture design of distributed web crawler system, and then analyzes in detail the principles of crawler’s URL function module, crawler’s web crawl function module, crawler’s web page parsing function module, crawler’s data storage function module and so on. Each function module of the crawler system was tested on the experimental computer, and the data information was summarized for comparative analysis. The main significance of this paper lies in the design and implementation of a distributed web crawler system, which, to a certain extent, solves the problems of slow speed, low efficiency and poor scalability of traditional single computer web crawler, and improves the speed and efficiency of web crawler in grasping information and web page data.

The core objective of our paper is that to overcome the challenges of secure data sharing problem in cloud where users can access data if they acquire a certain set of attributes or credentials. At present, there is only one way for implementing such procedures is by employing a reliable server to mediate access control, store the data. The service providers have whole control over cloud applications, client’s data and hardware. However, if the data stored in the cloud server is conceded, then the data confidentiality will be compromised. With simplified CP-ABE data is confidential even though storage server is un trusted. Hence privacy of cloud data is enhanced by proposing a methodology that uses a privacy policy, encrypts the data based upon various group of attributes related to the user. The decryption of the data can be done only when his/her attributes match with the privacy policy. Simplified CP-ABE makes it easier to secure, broadcast and control the access of sensitive information, specifically across the cloud’s server and decrease collision resistance.

In this paper, a MATLAB Simulink model of a Quadruped Robot is presented alongside its remote, control and monitor user interface that has been developed by using the fundamentals of Internet of Things on a Node-Red Flow and the FRED-Cloud Server. Robotics and Automation over the recent years have developed exponentially and hence have been a key factor in the rise of Industry 4.0 which has usurped manual supervision and operation in industrial and manufacturing processes around the globe. The design and creation of technologically advanced robots integrated with computer-based software for their automation has not only successfully made the tasks facile to manage within short spans of time, but also has increased the efficiency notably. The stability and mobility of quadruped robots is considered to be ideal on differing terrains with minimal subtle changes, thereby making it an asset. Internet of Things on the other hand, has paved its way over the control of robots as well, with its unparalleled benefits. This paper is focused on the design and execution of the Quadiuped model which includes the observation of the various significant graphs achieved post simulation with respect to electrical values such as power and current consumption, and a visual animation of the robot running in the workspace. Furthermore, a single platform is developed and displayed that allows a user to log in for security puiposes and thereby, operate and monitor the functions and conditions of the bot easily, ranging from remote visual support, directional integrity, damage control and more, without the need of multiple platforms to carry out varying tasks with respect to control.

The quality assessment of water is the need of the hour as water pollution has reached to an alarming level. The pollution of natural water bodies due to mine drainage system and mining activities is a major environmental concern worldwide. There are many potential reasons of water pollution such as agricultural, sewage, oil, radioactive materials, dumping & mining activities etc. Mining activities are responsible for the contamination of watercourses with metal and increment of sediment levels in it, however acid mine drainage can be viewed as the most lethal means of polluting watercourse. In this study an analysis was done on the water samples collected from different coal mines of Jharkhand and Telangana State. The WQI for each sample were calculated and correlated with their physico-chemical parameters. The lowest grades of the water samples are mainly due to the presence of the strongest correlated parameters. It was observed that the iron content in the samples has the strongest correlation with a Pearson coefficient of 0.9977 and highest significance with a P value lower than 0.001.

Petroleum is non-renewable supply of energy and also the diminution of natural fuel resources, leads to explore for various fuels for cars. The critical search for various fuels for compression ignition engines has been paying interest on fuels obtained from hydrogen and linseed oil plays a significant role in alternate fuel for C.I Engines. The aim of this research effort is to appraise the property of Linseed oil and Hydrogen as dual blend recital on a variable Compression ratio diesel engine. This really provides the discharge individualism of linseed oil amalgamated with gas and its blends with diesel and are taken up for study. Vertical, 4-stroke, water cooled VCR engine with Linseed oil blends for a extensive series of engine load conditions such as Diesel, B10, B20, B40 along with 5lpm, 10lpm and 15lpm of hydrogen were performed. The brake thermal competence of B20 is found nearly closer to diesel fuel with minimum vibrations and less emissions of CO, hydro carbons HC and slight increase in NOx when compared to fossil fuels. During the experiments, vibrations, performance uniqueness of the test engine was analysed and compared with the precise VCR diesel vibrations, fuel performance. The results obtained by using Python module and the best suited code is derived and found that the combined increase of compression ratio and injecting timing increases the brake thermal efficiency and reduces specific fuel consumption. This module helps and reduces each load variations and performances compared tp experimental. Diesel (25%) saved, will greatly meet the demand of fuel in automobiles.

The tourism rail transit project has broad development prospects in China. The new type of rail transit represented by trams and monorails is suitable for the demand of the project of the rail transit, and the traction power supply system is great significance for the normal operation of the new type rail transit. This paper introduces the external power supply, medium-voltage loop network and traction power supply of new type of rail transit project. Through the comparison of technical schemes, the selection for several important engineering schemes in the new rail transit power supply system engineering design are obtained.

In clinical practice, augmentative and alternative communication (AAC) is an effective training tool to improve the communication skills of individuals with language impairment, hearing impairment, and autism. However, there are few studies on the development of augmentative communication systems based on Mandarin Chinese in China. This study presents an augmentative communication system developed using the MATLAB GUI platform. The system consists of two parts: a learning part and a communication part, where the learning part provides the basis of the vocabulary content for the system, covering 5558 words, and its content is mainly a word list designed based on the content of special school language textbooks. The communication part provides the system with a complete discourse training content, mainly by arranging and combining the vocabulary content of the learning part to form a complete discourse. This aided communication system can expand the vocabulary of people with language expression disorders and improve their social communication skills. In addition, the effectiveness of the system was tested in a single-subject experiment, and the results showed that the augmentative communication system is effective in learning pronunciation, expanding vocabulary, and improving the social communication.

This article discusses the key points of developing a secure RESTful web service API for keeping a student achievement journal. The relevance of using web services has been analyzed. The classification of web applications is given. The features of the Single Page Application architecture were considered. Comparative characteristics of architectural styles of application programming interfaces are given. Requirements to be met by RESTful API services are considered. The basic principles of API security were analyzed. A list of the main vulnerabilities that may appear during the development of the REST API is given. An overview of popular authentication schemes (methods) is given. Comparative characteristics of web frameworks of the Python programming language are given. The main tools used in the development of web API applications are listed. The process of creating a secure prototype of a RESTful web service API in Python using the Flask microframework and a tool for describing the Swagger specifications is presented. The process of configuring the application was examined in detail. The main recommendations for securing a web application, database and web server settings are listed. The key points of ensuring the protection of the developed web application are considered. The results obtained were analyzed.

the paper introduces IRS to assist offloading, and the propagation Environment can be intelligently changed by changing the reflection unit of the IRS, This article proposes an IRS-assisted MEC power distribution Internet of Things system, and studies the gain effect of IRS in the MEC system. In this system, the single antenna equipment can choose to unload a small part of its computing task to the edge computing node of the distribution Internet of things through the multi antenna access point with the help of IRS. In this paper, the delay minimization problem of the whole system is established, the DNQ reinforcement learning algorithm is used to solve the problem, which can effectively change the coverage of smart substations.

With a view to expanding serviceability in different applications, the slope climbing ability of a quadruped robot is important. In this paper, a gait scheme i.e. walking algorithm for slope climbing is proposed. It differs from the previous studies in terms of the posture of the robot while climbing. The presented scheme is designed such a way that the body of the robot maintains horizontal posture with positive static stability which can be used for carrying a load and disabled while climbing the slope. For this proposed scheme, different parameters of gait are shown. The algorithm is tested with a multibody simulation and based on the results of transformation of the inertial frame about the world frame; it is proven to be steady.

Radiative cooling uses space cold source to cool the object, and the radiative cooling film made by using this principle can be applied to automobiles effectively to save the refrigeration resources of automobiles. However, due to the limitation of economy, time, space and other factors, it is difficult to carry out comprehensive research on the actual film-forming cooling effect. Based on the principle of passive radiative cooling, a set of simulation models is developed, which is applied to the selection of infrared radiation materials for automotive radiative cooling film and the study of the influence of environmental factors on the radiative cooling effect. SiO2 was finally selected as infrared radiation material. At the same time, the theoretical cooling temperature of the radiative cooling film applied to the passenger compartment of automobiles can reach 6.8°C under the conditions of 35°C ambient temperature, 0.99 atmospheric transmittance and 10 heat transfer coefficient, using SiO2 as infrared radiation material and PE as dispersion substrate. At the same time, the cooling effect of the radiative cooling film is positively correlated with the ambient temperature, atmospheric transmittance to some extent.

In this paper, based on the high-order discrete scheme, a two-way fluid-solid coupling numerical simulation is for the damping valve plate. According to the discrete method, the governing equations of fluid structure coupling of damping valve plate are studied, including the basic conservation laws; Meanwhile, it analyzes the discretization of the control equation, including the discretization method and the high-order discretization format when the finite volume method is adopted. And based on this discrete format, a numerical simulation was performed on the damping valve, the oil flow condition is analyzed, and the velocity of the throttling hole at different time points and the throttling pressure are analyzed.

In this paper, the processing method of dynamic time variables in the route planning nodethat we designed involves the field of route planning, including determining the route time and stay time, combining the floating reserved time to determine the redundancy; after the entity has visited a node, the current value is calculated Redundancy: According to the calculated redundancy value, combined with the preset redundancy threshold, the entity’s route and stay time are reminded. By converting the dynamic time variable into a fixed value, the model can complete the search for the optimal path within a limited time. At the same time, the concept of reserved floating time is introduced, thereby retaining the dynamic characteristics of time, so that visitors can have sufficient time stay, and can complete the stay according to the fixed time requirements, can effectively track the stay time and make corresponding processing in the corresponding situation to ensure the stay ability. The proposed scheme has better performance.

The state of art simulation modelling in managing traffic flow within a busy central business district (CBD) is demonstrated in this article. The objectives of this article were to; identify the existing condition of the street V/C ratios within the CBD area, and to develop various simulations modelling. The development of microscopic traffic simulations encompassing 5 streets within the CBD area in Pekanbaru, Indonesia using the PTV Vissim application was performed as a case study. The existing conditions of these 5 streets were very busy (Level of Service C and D) with on-street parking and on-street traders (vendors) along the streets. Several simulations model based on 4 traffic management approaches were applied; (i) controlling on street traders (vendors) activity, (ii) controlling parking lots, and (iii) changing the on-street parking angle and (iv) combination of these approaches. The simulation results have indicated that the optimum simulation modelling in managing CBD traffic flow within these 5 streets was conducted by managing the on-street parking angle at the position of 300 as well as controlling on street traders activity. Hence, by conducting simulations using this application improved the streets Level of services (LOS) within this CBD area from D (0,75

The application of the Finite Element Method as one of the numerical methods to solve various engineering problems is of course inseparable from the development of computers with various other related fields such as Computer Aided Design (CAD) and Computer Aided Engineering (CAE) which continuously becomes a concentration of interest in the engineering field. Element analysis has so far been in great demand by various industries due to its reliability and speed in terms of optimization in the world of design and analysis. There are many finite element software such as Abaqus, Nastran, Ansys, CosmosWork, LS-Dyna, Pro-Mecanica, SAP2000. However, the application is paid at a relatively high cost and has quite strict licensing rules, of course this is an obstacle for students at the University of Riau who want to use it. From these problems the author is interested in developing a programming application that can be an alternative to analyzing a structure. The solution that the author can propose is to develop an application using the python programming language to analyze a two-dimensional (2D) frame structure that is under load and is in an elastic condition. From the results of the research that has been carried out, the simulation results of the frame A model obtained data on the 2nd frame model of frame A, the horizontal displacement of -0.06098 m, the vertical displacement of -0.00002857 m, and the angular displacement of 0.00762 rad. These results are compared with manual solutions, analytical solutions, and previous research, it can be concluded that the results of calculations in the developed application show values that are close to that comparison, where the percentage error is not more than 3%, with the highest percentage difference of 2.5%.

The dependencies of the loss coefficient on the value of reverse- and zero-sequence current unbalance coefficients are obtained, allowing estimating the energy efficiency of power transformers operation at different unbalance characteristics. The electricity losses were calculated from these dependencies and from data obtained from instrumental measurements at rural substations supplying household consumers. It was obtained that the power transformer with «the star-zigzag with zero» scheme is 6 times more energy efficient than the power transformer with «the star–star with zero» scheme. However, with small values of the currents asymmetry (for five cases studied), the power transformer with «the star-zigzag with zero» scheme has overestimated power losses.

A program for analysing lattice parameter of a crystal structure has been successfully created based on Python programming language using the Google Collaboratory service, so it can be accessed through a PC or smartphone as long as internet access is available. This program can be used to calculate lattice parameter of a crystal structure with x-ray diffraction data as the input. Crystal structures that can be calculated for its lattice parameter are cubic and tetragonal. The program will ask for the type of crystal structure of the data, along with diffraction angles and miller indices. The input will be processed using the Cramer-Cohen method according to the previously entered crystal structure. By also entering the wavelength used, the output of this program is the lattice parameter in the angstrom unit. The percentage of error of this program’s output is extremely low.

As a general course for college students, Fundamentals of Computer Culture plays an important role in the training of professional talents. However, there is a large gap in the ability and quality of college students. In order to promote the creative teaching reform of this course and improve the theoretical and skill levels of college students, our college proposed a reform scheme of multi-layer blended teaching to realize an all-round reform of curriculum system, teaching content, teaching arrangement, teaching method and means, teaching assessment, etc. It also gives a detailed introduction to the reform plan and its implementation in the paper, and provides a creative solution for the teaching reform of the Fundamentals of Computer Culture in other universities, which has great practical value.

The aim of the research is to develop and implement a scheme and method for measuring the characteristics of static and sliding friction areas in the contact patch of an elastic wheel with a solid support when they appear, exist and disappear. The characteristics are understood as: the relative location of static and sliding friction in relation to the vector of the translational speed of the wheel axis; their size and location in the contact patch when they appear, spread and disappear; the values of the moments on the wheel, corresponding to the appearance, spread and disappearance of static and sliding friction. A scheme and a method for measuring these characteristics have been developed and implemented. The measurements are indirect. It has been experimentally established that, in the general case, the geometric center of static friction in the contact patch moves towards the moment acting in the plane of the wheel rotation relative to the rotation axis by an amount proportional to the moment. The maximum value of this displacement according to the moment that is maximum in terms of sliding conditions, and is one third of the contact patch length for all types and conditions of a solid support. The research results are valid for elastic wheels with a radial stiffness not exceeding 12000000 N/m, the main plane of which is perpendicular to the reference plane. The research results can find application in design modeling of stability and controllability of vehicles.

This scientific paper deals with the reliability models of technical systems based on the continuous-time Markov chains. An offered by the author calculation method for the operational availability factor of technical systems based on the methods for calculation of the probabilities of the system states and probability of system faultless functioning using the reliability models based on the continuous-time Markov chains is discussed. Finally, an example of calculation of the operational availability factor for the fault-tolerant data processing system with two identical and independent nodes is also given.

From the point of view that the traditional electronic data (documents in image, PDF, etc) is difficult to track and trace, taking image copyright as an example, this paper studies a new scheme to solve the problem of replication detection and traceability based on blockchain. With the decentralization and trust removing of blockchain, both copyright storage and evidence of infringement are stored in a tamper proof and transparent way. Based on the judgment of image similarity, a “resource reverse tracing strategy” is designed to control the infringement timely. The infringement evidence can reach the creator quickly, which provides convenience for the creator’s rights protection. This method changes traditional tracing methods of image copyright. Also, it can be applied to the tracing problem of reuse of electronic invoice, short video, music, etc, and brings new ideas for the related problem.

For large-scale search and rescue (SAR) tasks that require complete coverage of the workspace, it is important to increase the efficiency and obtained sensor data quality. A novel path planner named SAR-A* to this problem is introduced, which takes into account the sensor performance and practical prior information. Firstly, the workspace is decomposed into plenty of hexagonal cells which are treated as waypoints for A* algorithm. Target present probability is then modeled to Gaussian distribution and the performance of the side-scan sonar (SSS) is evaluated. The proposed path planner is validated in a complex terrain scenario which proves that the SAR-A* path planner can increase confidence in locating the target quickly, and is suitable for the large-scale SAR.

This paper presents calculations of electronic states in AlxGa1-x As semiconductor nanostructures and simulates the envelope wave functions of quantum energy levels in a one-dimensional quantum well with infinitely high walls of a given width at various values of x. For the analysis of results the authors choose the function wtmm from the Matlab library that fixes the extremums and which is a characteristic of the fractality of the envelope wave functions of quantum energy levels.

The paper presents calculations of electron states in semiconductor nanostructures AlxGa1–x As (x=0) and simulates the energy spectrum of the electron in a one-dimensional quantum well with infinitely high walls of a given width (from 10 to 30 atomic monolayers) using MATLAB application. The data is visualized using a wavelet transform with different wavelet functions.

The world has recorded an increasing interest and staggering investment in renewable technology in the last two decades, specifically in solar photovoltaic (PV). Concentrating PV (CPV) is one of PV’s technology advancements and is gaining popularity for integration in a building. Various CPV designs are currently being investigated by researchers. The aim of this paper is to design and develop a MATLAB programme that can predict the electrical properties of a static concentrator that is designed with a ±40° acceptance angle. The programme was utlizied to determine the angular characteristics of the static concentrator between acceptance angle of -50° and 50°. It is proposed that the optoelectronic gain, Copto-e values be incorporated into the model to simulate a CPV design. The incident angle values (within ±50°) were chosen to demonstrate that the static concentrator could collect solar energy within its designed acceptance angle of ±40°. The current-voltage and power-voltage characteristics are generated for each simulation, and critical parameters such as the maximum power, open-circuit voltage, short-circuit current, and optoelectronic gain were identified and measured. The programme was found to be able to determine the electrical properties for the static concentrator.

While the research of the celestial body is essential to understand the universe, it requires considerable costs in time and equipment. However, the computation methods can be used to analyze the astrophysics process in a simple approach. In this paper, a model of computing the motion of solar system based on Euler’s method is established. The model divided the process into infinite small time steps, and iteration is used to represent integration and update the position of planets over the process. The NumPy and matplotlib are used to visualize the motion. By the analysis of momentum and energy through the process and the application in the 2-body situation, the model is proved to be valid and accurate.

Nowadays datacenters face a big challenge, because the development of cloud services requests a large amount of capital input, high maintenance skills and cost. The major disadvantages of current datacenter network include the high cost of equipment and maintenance, QoS, failure recovery time, network virtualization etc. In this paper, we proposed a software defined datacenter network. The programmable controller is responsible for the management of the traffic scheduling including topology discovery, routing and Quality of Service. The SDN is based on Fat-tree network architecture and max-min fairness. A Genetic Algorithm optimized Radial Basis Function neural network is used to compute the service weight for maximizing the utilization of network resource. An experiment of the network bearing different kinds of services based on Openflow is described. This well-designed fat-tree network has high efficiency in traffic distribution, and has integrated the traditional network architecture and new SDN technology.

With the rapid development of cloud computing, various network attack methods are becoming more advanced, and the attack speed is getting faster. Traditional security protection solutions can no longer adapt to new network attacks, bringing significant challenges to security protection in virtualized network environments such as cloud computing. Based on these problems, this paper proposes a dynamic calling mechanism of security functions for software-defined security based on software-defined network technology. This mechanism defined the strategies of dynamically scheduling of virtual security service nodes in the virtualized network environment. The strategies describe the network’s data flow and virtual security devices by extending the attribute-based access control policy model. It can dynamically construct the mapping relationship between network flow and virtual security devices according to users’ security requirements, thus forming a personalized security service chain for specific network flows. This mechanism can protect the “north-south” network flow at the IoT edge agent according to the user security business requirements.

When CPU enters the era of instruction level parallelism, the execution cycle of instructions has become shorter and shorter. Meanwhile, the processing speed of CPU has become faster and faster. However, only from the execution process of CPU instructions, there is a key factor that limits the speed of CPU processing instructions, namely, the branch instruction processing. The branch predictor is used to predict the execution result of the current branch instruction (taken/non-taken), which can make the program counter get the target instruction to continue to execute according to the prediction result before calculating the target jump address. If the prediction is correct, it will greatly improve the execution efficiency of CPU. This paper starts from the two basic categories of static branch prediction and dynamic branch prediction. Then analyse their prediction principle, prediction accuracy and component consumption used for prediction. For static branch predictor, its hardware consumption is less than that of dynamic branch predictor, and its accuracy is also lower than that of dynamic branch predictor. Moreover, their shortcomings are pointed out in this paper. At last, based on the original branch predictor, better branch predictors developed in recent years are introduced. In the future, considering the hardware consumption, I think the development of branch predictor will continue to optimize the branch predictor combining global history and local history, from the number of stored entries, the correlation between branch instructions and so on. On the premise of executing a large number of instructions, every little improvement in the efficiency of the predictor will bring huge benefits.

This paper first introduces the basic concept, principle and application of wavelet transform. Then, the performance characteristics of Haar wavelet, dbN wavelet and symN wavelet, two different threshold shrinkage algorithms Visushrink and Bayesshrink, and two common threshold functions are described in detail. Finally, Matlab software programming is used to realize the simulation of the original image based on different wavelet bases in the influence of Gaussian noise, Poisson noise and salt and pepper noise, different threshold acquisition algorithm, different threshold function, and compare their peak signal to noise ratio (PSNR) value to complete the Image processing performance analysis.

The basic structure of the manipulator is simplified with the 6-DOF manipulator as the research object, and the coordinate system is established based on the D-H method. At the same time, Matlab is used for simulation, and the quintic polynomial interpolation is used for trajectory planning and simulation to verify that the manipulator can move according to the established trajectory.

The scoop cooling system is widely used in advanced ships which usually requires a water inlet device protruding out of the board. The structure of the water inlet device not only determines the cooling water flow into the system, but also affects the additional resistance of the hull. The ratio of the static pressure difference between windward side of the device and the environment and the dynamic pressure head of the cooling water entering the flow channel is defined as the scoop lift head. The scoop lift head and additional resistance are used to describe the hydraulic performance of the water inlet device of the scoop cooling system, and a theoretical analysis method for the performance of the water inlet device of the scoop cooling system is proposed. The actual ship parameters are used to verify the scoop cooling capability and drag resistance characteristics of the water inlet device.

Chronic pumping of water from aquifers leads to groundwater depletion, leading to an alarming scarcity of groundwater supply. Early detection of low aquifers levels can prevent the complete exhaustion of groundwater. We propose a Groundwater Optimization model using Multi-Criteria Decision Making (MCDM) techniques based on field values of bore wells like aquifer level, availability of nearby bore wells, and depletion to recharge ratio. In order to achieve higher accuracy than the existing models, we take both predefined values and on-site values of individual bore wells. The hardware components include a calibrated pressure transducer, water sensor, GSM module, Raspberry Pi, and IoT module. They are used in order to send the in-field data. When the aquifer level drops below the threshold level, an SMS alert is sent to the owner of the bore well. The threshold level is dynamically determined using the key steps of MCDM methods. The MCDM methods are implemented in Python code to determine and fix the threshold for the instance. The frequency of data logging is adjusted by studying the input patterns, which saves storage. When the water level drops below the threshold level an aquifer recharge technique is sent as a recommendation. The proposed optimization model has the potential to be applied to a larger geographical area in the future.

With the rapid development of computer network, the information security of database becomes more and more important. In database security protection, SQL statements need to be parsed and reconstructed. However, the database audit products on the market lack accurate analysis of SQL statements. Therefore, this paper constructs an SQL parser from four aspects: lexical analysis, syntax analysis, SQL spanning tree optimization and error detection.

The surveillance camera network covering the city, while protecting the safety of people’s lives and property, generate a large amount of surveillance video data every day, but few videos contain useful information. Surveillance cameras in sparsely crowded areas may capture most of the video in the background. A large number of surveillance videos bring greater storage pressure, and also increase the difficulty of the staff’s work. In this paper, we use the auto-encoder network to extract features of video frames. By comparing the feature differences between video frames, we can automatically select key video clips and key frame images that contain useful information to slim down the surveillance video. Through experiments on actual cameras, we found that this method can achieve the purpose of reducing the pressure of storage and traversal.

With the development of Internet of Things technology, digital sports training will become a hot topic in the field of sports science. Digital exercise training is a training mode of monitoring the quality of the training in real time in the process of using technology to train practitioners and adjusting the physical training process according to the data. By combing the main application of international Internet of technology in sports training, this paper proposes the use of technology to monitor the movement intensity, and realizes the sports scheme intelligently recommended technical scheme, and implements it, and carries out the practical application and achieves commercial benefits according to the monitoring results.