Compared structural approach with communicative approach, the former puts too much emphasis on linguistic knowledge and neglects the language application, while the latter lays too much emphasis on the communicative c...Compared structural approach with communicative approach, the former puts too much emphasis on linguistic knowledge and neglects the language application, while the latter lays too much emphasis on the communicative classroom activities and neglects the systematic study of linguistic knowledge. Both of them cannot meet the requirements of improving the non-English major students＇ argumentative writing scores. So based on the Lexical Approach theory, taking the College English Integrated Course 4 （LI, 2003） as the main teaching material and lexical phrases as teaching and learning units, this study explores the effectiveness of the Lexical Approach in improving non-English major students＇ argumentative writing through classroom activities of input, absorption, and output of lexical phrases. The results show that lexical phrases have more effects on students＇ English competence than single words. They can help to improve the argumentative writing scores and cultivate an interest in learning English independently.展开更多
Due to the influence of terrain structure,meteorological conditions and various factors,there are anomalous data in automatic dependent surveillance-broadcast(ADS-B)message.The ADS-B equipment can be used for position...Due to the influence of terrain structure,meteorological conditions and various factors,there are anomalous data in automatic dependent surveillance-broadcast(ADS-B)message.The ADS-B equipment can be used for positioning of general aviation aircraft.Aim to acquire the accurate position information of aircraft and detect anomaly data,the ADS-B anomaly data detection model based on deep learning and difference of Gaussian(DoG)approach is proposed.First,according to the characteristic of ADS-B data,the ADS-B position data are transformed into the coordinate system.And the origin of the coordinate system is set up as the take-off point.Then,based on the kinematic principle,the ADS-B anomaly data can be removed.Moreover,the details of the ADS-B position data can be got by the DoG approach.Finally,the long short-term memory(LSTM)neural network is used to optimize the recurrent neural network(RNN)with severe gradient reduction for processing ADS-B data.The position data of ADS-B are reconstructed by the sequence to sequence(seq2seq)model which is composed of LSTM neural network,and the reconstruction error is used to detect the anomalous data.Based on the real flight data of general aviation aircraft,the simulation results show that the anomaly data can be detected effectively by the proposed method of reconstructing ADS-B data with the seq2seq model,and its running time is reduced.Compared with the RNN,the accuracy of anomaly detection is increased by 2.7%.The performance of the proposed model is better than that of the traditional anomaly detection models.展开更多
An embedded system generally comprises gffour parts （embedded microprocessor unit, peripheral hardware equipment, embedded operating system, and user application）, and its core function is to complete the control of...An embedded system generally comprises gffour parts （embedded microprocessor unit, peripheral hardware equipment, embedded operating system, and user application）, and its core function is to complete the control of different equipments as well as necessary monitoring and management measures. Initialization is to set a variable as ＂default value＂, including system initialization, software initialization and hardware initialization. However, these three types of initialization are classified in accordance with different layers. This is studied in this paper.展开更多
文摘Compared structural approach with communicative approach, the former puts too much emphasis on linguistic knowledge and neglects the language application, while the latter lays too much emphasis on the communicative classroom activities and neglects the systematic study of linguistic knowledge. Both of them cannot meet the requirements of improving the non-English major students＇ argumentative writing scores. So based on the Lexical Approach theory, taking the College English Integrated Course 4 （LI, 2003） as the main teaching material and lexical phrases as teaching and learning units, this study explores the effectiveness of the Lexical Approach in improving non-English major students＇ argumentative writing through classroom activities of input, absorption, and output of lexical phrases. The results show that lexical phrases have more effects on students＇ English competence than single words. They can help to improve the argumentative writing scores and cultivate an interest in learning English independently.
基金supported by the National Key R&D Program of China(No.2018AAA0100804)the Talent Project of Revitalization Liaoning(No.XLYC1907022)+5 种基金the Key R&D Projects of Liaoning Province(No.2020JH2/10100045)the Capacity Building of Civil Aviation Safety(No.TMSA1614)the Natural Science Foundation of Liaoning Province(No.2019-MS-251)the Scientific Research Project of Liaoning Provincial Department of Education(Nos.L201705,L201716)the High-Level Innovation Talent Project of Shenyang(No.RC190030)the Second Young and Middle-Aged Talents Support Program of Shenyang Aerospace University.
文摘Due to the influence of terrain structure,meteorological conditions and various factors,there are anomalous data in automatic dependent surveillance-broadcast(ADS-B)message.The ADS-B equipment can be used for positioning of general aviation aircraft.Aim to acquire the accurate position information of aircraft and detect anomaly data,the ADS-B anomaly data detection model based on deep learning and difference of Gaussian(DoG)approach is proposed.First,according to the characteristic of ADS-B data,the ADS-B position data are transformed into the coordinate system.And the origin of the coordinate system is set up as the take-off point.Then,based on the kinematic principle,the ADS-B anomaly data can be removed.Moreover,the details of the ADS-B position data can be got by the DoG approach.Finally,the long short-term memory(LSTM)neural network is used to optimize the recurrent neural network(RNN)with severe gradient reduction for processing ADS-B data.The position data of ADS-B are reconstructed by the sequence to sequence(seq2seq)model which is composed of LSTM neural network,and the reconstruction error is used to detect the anomalous data.Based on the real flight data of general aviation aircraft,the simulation results show that the anomaly data can be detected effectively by the proposed method of reconstructing ADS-B data with the seq2seq model,and its running time is reduced.Compared with the RNN,the accuracy of anomaly detection is increased by 2.7%.The performance of the proposed model is better than that of the traditional anomaly detection models.
文摘An embedded system generally comprises gffour parts （embedded microprocessor unit, peripheral hardware equipment, embedded operating system, and user application）, and its core function is to complete the control of different equipments as well as necessary monitoring and management measures. Initialization is to set a variable as ＂default value＂, including system initialization, software initialization and hardware initialization. However, these three types of initialization are classified in accordance with different layers. This is studied in this paper.
