A Framework of an Intelligent Education System for Higher Education Based on Deep Learning

Intelligent learning platforms and education information application platforms are gaining ground, owing to the wide application of modern technologies such as the Internet of Things, big data analysis, artificial intelligence, and cloud computing. However, the current platforms cannot solve specific teaching problems, and the relevant research mostly focuses on primary and secondary education. Therefore, this paper constructs and analyzes a framework of intelligent education system for higher education based on the deep learning. Firstly, the functional block diagram of the system was built up. Next, a face detection algorithm was proposed based on the multi-task convolutional neural network, a face recognition algorithm was developed based on the improved deep convolutional neural network, and the knowledge learning status of students was tracked based on the memory augmented neural network. Finally, the proposed framework was proved effective and swift through experiments. The research results expand the application scope of the deep learning in education.

Improving the Methodology of Placing Peripheral Devices for Monitoring the Technical Condition of Rolling Stock

Purpose. Based on the research work of units and parts of rolling stock undercarriage in transient modes of emergency situations it is proposed to optimize the sequential placing of peripheral contactless devices for technical control of locomotives and cars on railway lines. Methodology. Investigation of transient processes of temperature increase of faulty axle bearings of locomotives and cars during remote technical diagnosing allows one to organize theory and hardware construction of the peripheral systems for testing the rolling stock on the move. Automatic control of the technical state of the rolling stock on the move – the last and in some cases the only possible process step, which allows revealing unacceptable defects in rolling units and thereby prevent emergencies in railway transport. Findings. Based on the research it was proposed a solution to the optimization problem of placing peripheral control devices of rolling stock when moving according to the criteria of the linear and exponential nature of heating defective axle boxes of wheelsets and other units of undercarriage. The risks of train stop on the railway line because of the erroneous classification of normally heated axle boxes as overheated, as well as the consequences of classification of overheated axle box as normally heated axle boxes were evaluated. Originality. Optimization model of placing peripheral control devices based on probabilistic criteria for evaluating the degree of permissible risk that, at a minimum, should not be exceeded during the transition to control technical means. A functional block diagram of test hardware diagnostics for the wheelsets when determining the gradations of digital indicators of defects was proposed. Practical value. The value of the results obtained lies in the improvement of a method of placing technical control peripheral devices and diagnosing rolling stock when determining the distance between the control stations in the same direction and organizing tracking modes for railcars with developing defects. From a technical point, reduced error probability is directly related to traffic safety and diagnostic algorithms.

IMPROVING THE ENERGY EFFICIENCY OF ELECTRIC VEHICLES

Advantages of hybrid and fully electric vehicles is a functional block diagram of the power supply system of an Autonomous vehicle, considered ways to improve the energy efficiency of electric vehicles, the results of modeling the energy performance of the half-bridge LLC resonant Converter with serial resonant circuit.

Study on unified hydraulic drive module with self-adaptation by power and kinematic parameters

When improving technological drives of machines and equipment, an important role is given to unified self-adapting subsystems and modules under the conditions of stochastic loads due to environmental resistance. The objective of this work is to study the principles of performance commonality and self-adaptation of a patented process hydraulic drive module with a working body that carries out the feed movement and the primary motion. At that, the design options of the module are considered. The principle of module performance commonality is discovered in the presented methodology for its study and conservation. This considers the law, purpose, internal adaptive relationships and the self-adaptation algorithm, which are confirmed by a physical experiment. The process of self-adaptation is presented by a functional block diagram and adaptive relationship equations. The equalities take into account the features of different versions of the module. The results of comparative experimental studies have confirmed that the presence of internal adaptive communications in the module hydraulic system structure provides the principle of its self-adaptation and functional efficiency. A functionunified module can be used in the technological hydraulic systems of machines and equipment to stabilize power and to adapt the kinematic parameters of these movements under the conditions of non-stationarity of values of the power parameters of the environmental resistance.

PENGENDALIAN MODUL OVERHEAD HANDLING STATION BERBASIS SEQUENTIAL FUNCTION CHART

Abstrak: Penelitian ini berisi hasil pengujian dan simulasi pada stasiun penanganan overhead dimana stasiun berada dalam otomasi sistem distribusi. Tujuan dari penelitian ini adalah untuk membuat suatu program di bidang komputasi dan overhead handling station agar berjalan bila dikombinasikan dengan program yang sesuai yang telah dibuat. Modul stasiun penanganan overhead ini adalah bagian dari mesin otomasi yang mendistribusikan simulasi proses objek berongga dan tidak berongga, maka PLC harus mengendalikan semua sistem modul stasiun penanganan overhead yang sesuai dengan sistem yang Anda inginkan. Untuk mengendalikan sistem kerja, bahasa pemrograman yang mudah dipahami sangat dibutuhkan seperti functional block diagram (FBD) dimana diagram blok fungsional adalah metode yang dapat menggambarkan fungsi antara variabel input dan output. Dalam FBD ada metode bagan fungsi sekuensial (SFC) yang mengendalikan aktivitas sekuensial program. Jadi penelitian ini membahas tentang pengendalian modul pengolahan yang menggunakan bahasa pemrograman FBD dengan menggunakan metode SFC.

SISTEM OTOMASI PADA MODUL PROCESSING DENGAN MENGGUNAKAN SEQUENTIAL FUNCTIONAL CHART

Automation is a technology that can be used to implement an instructional process or an automatic procedure. In this framework that has been using an instructional program that combined with a control system to process an instruction or commands. This processing module is a part of the automation which checking a process simulation of hollow and not hollow objects, then a PLC is use to control the process as designed be needed to control all of the working processing modules systems works. working system, a programming language that easily to be understood is needed such as functional block diagram (FBD) is use to program a plc system which functional block diagram (FBD) is a method that can describe a function between input and output variable, in FBD there is a Sequential Function Chart method (SFC ) which control the program sequential activity. So this research discusses the control of processing module which based on FBD programming language by using the SFC method.

OTOMASI PADA MODUL SISTEM PENGUMPAN BERBASIS SEQUENTIAL FUNCTION CHART

Abstrak: Era globalisasi ini, mesin sistem manual dibiarkan dan diubah oleh mesin sistem otomatis untuk membantu operasi manusia. Dengan demikian makalah ini akan menjelaskan tentang bagaimana objek kerja dalam distribusi otomatis dibuat khusus untuk modul pengumpan (stasiun makan dan stasiun pengangkat) yang dibuat secara modular. Stasiun pakan dalam bentuk papan yang digerakkan oleh pneumatik tanpa batang dan berfungsi sebagai tempat kerja pendorong dimana di angkat sekrup untuk melanjutkan kerja benda ke stasiun berikutnya. Stasiun pengangkat berbentuk palet di lantai 3 yang digerakkan dengan motor DC gerak sudut yang diubah oleh sekrup timah menjadi gerakan linier untuk menyesuaikan ketinggian. Semua proses distribusi ini dikendalikan oleh PLC (Programmable Logic Controller) dalam kapasitas 26 I / O (16 input dan 10 output). Salah satu bahasa pemrograman yang mudah dipelajari adalah Functional Block Diagram (FBD). Pada FBD, ada metode Sequential Function Chart (SFC) untuk menentukan urutan pekerjaan program. Hasilnya adalah mesin simulasi stasiun makan dan stasiun pengangkat dalam skala laboratorium yang dapat memberi makan benda kerja di stasiun berikutnya sepanjang gerak diagram setiap stasiun.

PENGENDALIAN MODUL STORAGE STATION BERBASIS SEQUENTIAL FUNCTION CHART

Abstrak: Otomasi industri merupakan hal yang tidak bisa dihindari untuk meningkatkan produktifitas, kualitas dan keselamatan. Oleh karena itu, simulasi mesin otomasi sangatlah penting untuk dibuat agar sistem kerjanya dapat diketahui secara pasti dan dapat dipastikan aman bagi operator. Proses yang biasa digantikan dengan otomasi adalah proses pemindahan barang dan proses pengecekan, sehingga sudah tidak membutuhkan tenaga manual lagi. Modul Storage Station adalah bagian dari mesin simulasi untuk pengecekan. Dibutuhkan PLC untuk mengontrol kedua modul tersebut sehingga dapat berjalan sesuai dengan yang diinginkan. Salah satu bahasa pemrograman yang mudah dimengerti adalah Functional Block Diagram (FBD). Pada FBD, terdapat sebuah metode yaitu metode Sequential Function Chart (SFC) untuk mengatur urutan kerja dari program. Penelitian ini membahas mengenai pengendalian modul Storage Station yang menggunakan bahasa pemrograman FBD dengan menggunakan metode SFC. Hasil yang didapatkan adalah mesin simulasi untuk modul Storage Station dalam skala laboratorium yang mampu mendeteksi material, warna, dan lubang dari benda kerja beserta diagram gerakan dari masing-masing modul.