Electronic Technologies in Communications Engineering

The influence of modern electronic technology on communication engineering is explained in this paper.Based on the development status of communication engineering,the characteristics and application strategies of modern electronic technology in communication engineering are discussed,including the optimization and improvement of wireless communication system.

Innovation and Practice of Teaching Methods in Digital and Adaptive Learning:Taking Communication Engineering Major as an Example

This paper proposes teaching reforms in communication engineering majors,emphasizing the implementation of digital and adaptive teaching methodologies,integrating emerging technologies,breaking free from the constraints of traditional education,and fostering high-caliber talents.The reform measures encompass fundamental data collection,recognition of individual characteristics,recommendation of adaptive learning resources,process-oriented teaching management,adaptive student guidance and early warning systems,personalized evaluation,and the construction of an integrated service platform.These measures,when combined,form a comprehensive system that is expected to enhance teaching quality and efficiency,and facilitate student development.

Probe into the course teaching reform of ＂communication engineering budget＂

＂Communication project budget＂ is a professional course of the communication engineering specialty. Combined with the requirements of the teaching reform, from three aspects of the theoretical teaching, the experimental teaching, and the engineering practice, the author carries on the reform and practice, to cultivate the active thinking and practical ability of the students, and the effects of the re-form are fully in line with the orientation of cultivating the highly-skillful and applied talents.

Analysis of Efficient 32 Bit Adder Using Tree Grafting Technique

Adder with high efficiency and accuracy is the major requirement for electronic circuit design.Here the optical logic gate based adder circuit is designed for better performance analysis of optical input signals varied with the wavelength.Efficiency of the adder can be improved by increasing the speed of operation,reducing the complexity and power consumption.To maintain the high efficiency with accuracy,a new combination of adder has been proposed and tested in this work.A new adder by combining the logics of Brent Kung,Sklansky and Kogge Stone adders by Tree Grafting Technique(BSKTGT)has been tested along with individual Brent Kung,Sklansky,Kogge Stone,Knowles,Han Carlson and Ladner Fischer adders.All the existing and proposed adders have been designed and tested for efficiency with the help of Cadence platform with 45 nm technology.Efficiency in terms of Size reduction,Power reduction,Power Delay Product(PDP)and accuracy in adding 8 bit,16 bit and 32 bit values had been tested for all the adders and found that the 32 bit BSKTGT adder performed well in all aspects and have produced better efficiency with the power consumption of 52.512426μW with 3.16%of power saving over Brent Kung adder,utilised an area of 631.191 with 8.55%reduction over Kogge Stone Adder,has the cell count of 132 which is 10.61%reduction over Brent Kung Adder and PDP value of 122.6695 J,which is 0.46%less than that of the Han Carlson Adder.

A two-stage short-term traffic flow prediction method based on AVL and AKNN techniques

Short-term traffic flow prediction is one of the essential issues in intelligent transportation systems(ITS). A new two-stage traffic flow prediction method named AKNN-AVL method is presented, which combines an advanced k-nearest neighbor(AKNN)method and balanced binary tree(AVL) data structure to improve the prediction accuracy. The AKNN method uses pattern recognition two times in the searching process, which considers the previous sequences of traffic flow to forecast the future traffic state. Clustering method and balanced binary tree technique are introduced to build case database to reduce the searching time. To illustrate the effects of these developments, the accuracies performance of AKNN-AVL method, k-nearest neighbor(KNN) method and the auto-regressive and moving average(ARMA) method are compared. These methods are calibrated and evaluated by the real-time data from a freeway traffic detector near North 3rd Ring Road in Beijing under both normal and incident traffic conditions.The comparisons show that the AKNN-AVL method with the optimal neighbor and pattern size outperforms both KNN method and ARMA method under both normal and incident traffic conditions. In addition, the combinations of clustering method and balanced binary tree technique to the prediction method can increase the searching speed and respond rapidly to case database fluctuations.

Single-Site Indoor Fingerprint Localization Based on MIMO-CSI

In order to achieve higher accuracy and lower cost of indoor localization,we propose a positioning method using multiple input and multiple output(MIMO)channel state information(CSI)as a fingerprint.The method can be divided into three stages,feature extraction,offline training and online localization.In the feature extraction,the segmented average and principal component analysis(PCA)are used to reduce the data dimension and decrease system complexity.In the offline training,the deep neural network(NN)model is trained to implement the position classification.In the online localization,the data are input into the trained NN model first,and then its output is further processed by weighted k-nearest neighbor(WKNN)technology to estimate the position.Experimental results show that the proposed method can significantly reduce the positioning error compared to other methods and the average error is 1.39m in a complex indoor environment.

通信工程本科嵌入式系统教育探索(英文)

In this paper,that the embedded systems have been an essential component in communication technology is first introduced.Then,the embedded system knowledge required for an engineer for working in the communication field is analyzed.Finally,considerations of our undergraduate program and efforts in embedded system education are presented.

Construction of Software Design and Programming Practice Course in Information and Communication Engineering

Innovation and entrepreneurship education is becoming one of the important goals of higher education in China.According to the requirements of the Ministry of Education to deepen the reform of innovation and entrepreneur-ship education in colleges and universities,we propose a core principle of“from basis to comprehensiveness,and then to innovation”to construct the software design and programming practice course in the information and communication engineering discipline.We have integrated specialized knowledge teaching with innovation and entrepreneurship training,implemented a series of experimental projects that integrate theory with practice,and explored mixed teaching methods and diversified examination methods.In this paper,details about software design and programming practice course construction are shown from aspects of teaching content,teaching methods,and examination methods.These course construction experiences will benefit teachers who engage in innovative practical courses in the information and communication engineering discipline.

An IPC-based Prolog design pattern for integrating backward chaining inference into applications or embedded systems

Prolog is one of the most important candidates to build expert systems and AI-related programs and has potential applications in embedded systems. However, Prolog is not suitable to develop many kinds of components, such as data acquisition and task scheduling, which are also crucial. To make the best use of the advantages and bypass the disadvantages, it is attractive to integrate Prolog with programs developed by other languages. In this paper, an IPC-based method is used to integrate backward chaining inference implemented by Prolog into applications or embedded systems. A Prolog design pattern is derived from the method for reuse, whose principle and definition are provided in detail. Additionally, the design pattern is applied to a target system, which is free software, to verify its feasibility. The detailed implementation of the application is given to clarify the design pattern. The design pattern can be further applied to wide range applications and embedded systems and the method described in this paper can also be adopted for other logic programming languages.