Pub Date : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931220
Yuhui Liu, Lingfei Zhang
Based on a simple branch-and-bound algorithm and correlation coefficients technique, this paper presents an evolutionary algorithm for solving nonlinear integer bilevel programming problem (NIBLPP). First, the upper-level decision variable values are selected as individuals in the population, and for each individual provided in the population, the branch-and-bound method is applied to obtain the optimal solutions to the lower-level problem. In order to make the offspring individuals in the population more diverse and uniformed. A crossover operator based on the sphere is designed which can produce more and better offspring individuals. In addition, the correlation coefficients technique is used to screen out potential better points among these offspring individuals, then the selected points will be further optimized to obtain an accurate solution to the lower-level problem. The simulation results show that the proposed evolutionary algorithm is effective for solving the NIBLPP problem.
{"title":"An Evolutionary Algorithm Driven by Correlation Coefficients to Solve Nonlinear Integer Bilevel Programming Problems","authors":"Yuhui Liu, Lingfei Zhang","doi":"10.1109/ISCIT55906.2022.9931220","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931220","url":null,"abstract":"Based on a simple branch-and-bound algorithm and correlation coefficients technique, this paper presents an evolutionary algorithm for solving nonlinear integer bilevel programming problem (NIBLPP). First, the upper-level decision variable values are selected as individuals in the population, and for each individual provided in the population, the branch-and-bound method is applied to obtain the optimal solutions to the lower-level problem. In order to make the offspring individuals in the population more diverse and uniformed. A crossover operator based on the sphere is designed which can produce more and better offspring individuals. In addition, the correlation coefficients technique is used to screen out potential better points among these offspring individuals, then the selected points will be further optimized to obtain an accurate solution to the lower-level problem. The simulation results show that the proposed evolutionary algorithm is effective for solving the NIBLPP problem.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122732325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931222
Huynh Thai Thi, Ngo Duc Hoang Son, Phan The Duy, V. Pham
Threat hunting is the action of seeking harmful actors lurking in the network or the system in the early stage with the assumption of attackers already broke the cy-ber defense solution. This defense solution requires collecting more knowledge inside and outside to search potential threats in each organization. To leverage the knowledge of multiple organizations and experts for cyber threat detection, there is a need for the collaboration without breaking data among data owners across the cybersecurity community. Meanwhile, Software Defined Networking (SDN) is the flexible and programmable network architecture, which enables network administrator to proactively enforce the security policy in the large-scale network. Obviously, it can help organizations to enforce dynamically threat hunting services. Thus, this work introduces a federated learning (FL) approach for cyber threat hunting in SDN-enabled networks to deploy a proactive APT attack detection and response by leveraging threat intelligence from collaborative parties. Our approach can enrich the outcome of machine learning (ML)-based or deep learning (DL)-based threat detectors in recognizing malicious indicators. The experimental results on NF-UQ-NIDS dataset and FedPlus model aggregation algorithm demonstrate the feasibility of FL-based cyber threat hunting with privacy preservation among data holders in SDN context.
{"title":"Federated Learning-Based Cyber Threat Hunting for APT Attack Detection in SDN-Enabled Networks","authors":"Huynh Thai Thi, Ngo Duc Hoang Son, Phan The Duy, V. Pham","doi":"10.1109/ISCIT55906.2022.9931222","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931222","url":null,"abstract":"Threat hunting is the action of seeking harmful actors lurking in the network or the system in the early stage with the assumption of attackers already broke the cy-ber defense solution. This defense solution requires collecting more knowledge inside and outside to search potential threats in each organization. To leverage the knowledge of multiple organizations and experts for cyber threat detection, there is a need for the collaboration without breaking data among data owners across the cybersecurity community. Meanwhile, Software Defined Networking (SDN) is the flexible and programmable network architecture, which enables network administrator to proactively enforce the security policy in the large-scale network. Obviously, it can help organizations to enforce dynamically threat hunting services. Thus, this work introduces a federated learning (FL) approach for cyber threat hunting in SDN-enabled networks to deploy a proactive APT attack detection and response by leveraging threat intelligence from collaborative parties. Our approach can enrich the outcome of machine learning (ML)-based or deep learning (DL)-based threat detectors in recognizing malicious indicators. The experimental results on NF-UQ-NIDS dataset and FedPlus model aggregation algorithm demonstrate the feasibility of FL-based cyber threat hunting with privacy preservation among data holders in SDN context.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"358 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121721226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931193
Zihang Yin, Yang Liu, Cheng Chi, Juan Tian
The industrial Internet identification is an important medium for data interaction between different enterprises. The identification carriers that store the identification are divided into passive identification carriers and active identification carriers according to whether they can obtain information spontaneously. Aiming at the problem of inconsistent identification information among enterprises and the lack of a unified identification and resolution model, this paper proposes an identification and resolution framework for the Industrial Internet. In addition, the network communication capability of the active identification carrier expands the application form of identification, but it lacks a perfect technical framework and the security of the carrier cannot be guaranteed. In this paper, we analyze industrial Internet identification, and we design the technical framework of the active identification carrier and its certification mechanism. It has promoted the innovation and development of the Industrial Internet and helped the digital transformation and upgrading of intelligent manufacturing.
{"title":"Application and Certification Mechanism of Active Identification Carrier in the Industrial Internet","authors":"Zihang Yin, Yang Liu, Cheng Chi, Juan Tian","doi":"10.1109/ISCIT55906.2022.9931193","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931193","url":null,"abstract":"The industrial Internet identification is an important medium for data interaction between different enterprises. The identification carriers that store the identification are divided into passive identification carriers and active identification carriers according to whether they can obtain information spontaneously. Aiming at the problem of inconsistent identification information among enterprises and the lack of a unified identification and resolution model, this paper proposes an identification and resolution framework for the Industrial Internet. In addition, the network communication capability of the active identification carrier expands the application form of identification, but it lacks a perfect technical framework and the security of the carrier cannot be guaranteed. In this paper, we analyze industrial Internet identification, and we design the technical framework of the active identification carrier and its certification mechanism. It has promoted the innovation and development of the Industrial Internet and helped the digital transformation and upgrading of intelligent manufacturing.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114924800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931259
Willian Silva, P. Brito
Deafness makes social interaction considerably more difficult since it inhibits the individual from communicating through the oral-auditory pathway. To facilitate communication between deaf people and listeners, machine translation tools to sign languages can be used. However, according to reports in the literature, about 75% of the deaf community feels dissatisfied with the translation of the existing tools. Among the main causes of this dissatisfaction is the use of inappropriate signs for words with semantic ambiguity. In this work, we propose the addition of a new semantic module to the translation process of the Falibras System, with the objective of improving the quality of the translation with respect to semantic disambiguation of the input text (in Portuguese). The main objectives of the proposed approach are: (1) to know the state of the art regarding the resolution of ambiguities in Portuguese; and (2) to combine existing techniques to develop an ambiguity resolution module for Falibras. The evaluation of the results showed a gain in accuracy, in a comparison with existing work in the literature. The evaluation was conducted based on the Goal-Question-Metric model.
{"title":"A Supervisioned Approach for Semantic Resolution in Portuguese with Neighborhood Analysis Integrated to the Falibras Translator","authors":"Willian Silva, P. Brito","doi":"10.1109/ISCIT55906.2022.9931259","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931259","url":null,"abstract":"Deafness makes social interaction considerably more difficult since it inhibits the individual from communicating through the oral-auditory pathway. To facilitate communication between deaf people and listeners, machine translation tools to sign languages can be used. However, according to reports in the literature, about 75% of the deaf community feels dissatisfied with the translation of the existing tools. Among the main causes of this dissatisfaction is the use of inappropriate signs for words with semantic ambiguity. In this work, we propose the addition of a new semantic module to the translation process of the Falibras System, with the objective of improving the quality of the translation with respect to semantic disambiguation of the input text (in Portuguese). The main objectives of the proposed approach are: (1) to know the state of the art regarding the resolution of ambiguities in Portuguese; and (2) to combine existing techniques to develop an ambiguity resolution module for Falibras. The evaluation of the results showed a gain in accuracy, in a comparison with existing work in the literature. The evaluation was conducted based on the Goal-Question-Metric model.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133357786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931250
Haojun Tang, Xiangyang Zhang, Shengfa Xu, Anqi Zeng, Xiaodong Yang
The visible light communication based on white light-emitting diode has the advantages of no spectrum authentication, fast transmission rate and high confidentiality. In recent years, it has been studied by many researchers. However, the existing research topics rarely involve the research on the height of multiple receivers of visible light communication. Based on the symmetrical layout model, this paper simulates the four heights that often appear in the fourth-grade classroom scene, puts forward the determination scheme of the optimal layout of signal-to-noise ratio at different heights, and determines the optimal layout of channel quality in this sense, that is, the optimal layout of comprehensive height signal-to-noise ratio. By comparing the optimal layout of signal-to-noise ratio of four heights, the optimal layout of comprehensive height signal-to-noise ratio and conventional layout, it is concluded that the optimal layout of comprehensive height signal-to-noise ratio is the best in terms of the uniformity of signal-to-noise ratio of each height. In terms of illumination uniformity of desktop height, the best layout of desktop height signal-to-noise ratio is the best, followed by the best layout of comprehensive height signal-to-noise ratio. Finally, the signal-to-noise ratio distribution, root mean square delay spread distribution and impulse response of the four height planes with the best layout of height signal-to-noise ratio are compared. The results show that the layout has good performance in three height planes: desktop height, seat height and sitting height.
{"title":"Optimization of Transmitter Layout Design in Visible Light Communication with Different Receiver Heights","authors":"Haojun Tang, Xiangyang Zhang, Shengfa Xu, Anqi Zeng, Xiaodong Yang","doi":"10.1109/ISCIT55906.2022.9931250","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931250","url":null,"abstract":"The visible light communication based on white light-emitting diode has the advantages of no spectrum authentication, fast transmission rate and high confidentiality. In recent years, it has been studied by many researchers. However, the existing research topics rarely involve the research on the height of multiple receivers of visible light communication. Based on the symmetrical layout model, this paper simulates the four heights that often appear in the fourth-grade classroom scene, puts forward the determination scheme of the optimal layout of signal-to-noise ratio at different heights, and determines the optimal layout of channel quality in this sense, that is, the optimal layout of comprehensive height signal-to-noise ratio. By comparing the optimal layout of signal-to-noise ratio of four heights, the optimal layout of comprehensive height signal-to-noise ratio and conventional layout, it is concluded that the optimal layout of comprehensive height signal-to-noise ratio is the best in terms of the uniformity of signal-to-noise ratio of each height. In terms of illumination uniformity of desktop height, the best layout of desktop height signal-to-noise ratio is the best, followed by the best layout of comprehensive height signal-to-noise ratio. Finally, the signal-to-noise ratio distribution, root mean square delay spread distribution and impulse response of the four height planes with the best layout of height signal-to-noise ratio are compared. The results show that the layout has good performance in three height planes: desktop height, seat height and sitting height.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123882289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931225
Zhiyang Qiu, Tianer Li, Fenggui Wang
In this paper, a method for UAV positioning in GPS-denied environment through a multi-sensor fusion algorithm is proposed. This method uses IMU and UWB to obtain acceleration and position information respectively. After processing the two sets of data, the position data is obtained, and the more accurate position data is obtained through the Kalman filter algorithm. Through simulation and experimental results, this method of positioning proved to be very effective. This method can significantly reduce the accuracy requirements for the positioning sensors, and obtain relatively high-precision results through the fusion processing of data collected by multiple low-precision sensors. This method can be used in the positioning system of low-cost UAVs, which is of great significance for reducing the cost and promoting commercial applications.
{"title":"Design of A Positioning System for UAV in GPS-denied Environment","authors":"Zhiyang Qiu, Tianer Li, Fenggui Wang","doi":"10.1109/ISCIT55906.2022.9931225","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931225","url":null,"abstract":"In this paper, a method for UAV positioning in GPS-denied environment through a multi-sensor fusion algorithm is proposed. This method uses IMU and UWB to obtain acceleration and position information respectively. After processing the two sets of data, the position data is obtained, and the more accurate position data is obtained through the Kalman filter algorithm. Through simulation and experimental results, this method of positioning proved to be very effective. This method can significantly reduce the accuracy requirements for the positioning sensors, and obtain relatively high-precision results through the fusion processing of data collected by multiple low-precision sensors. This method can be used in the positioning system of low-cost UAVs, which is of great significance for reducing the cost and promoting commercial applications.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121687428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931278
Yong Liang, Zhun Zhao, Linlin Xiong, G. Wang
The control of electromagnetic spectrum in the launch site area is very important to ensure the normal operation of frequency using electronic equipment during space launch. In view of the explosive growth of electromagnetic spectrum monitoring data, low utilization of spectrum data and great difficulty in abnormal spectrum monitoring, this paper analyzes the application of big data technology in electromagnetic spectrum management and control from the aspects of electromagnetic spectrum sensing, electromagnetic spectrum data storage, mining and utilization, and studies and designs the electromagnetic spectrum management and control system of launch site based on big data.
{"title":"Research on Electromagnetic Spectrum Management and Control System of Launch Site Based on Big Data","authors":"Yong Liang, Zhun Zhao, Linlin Xiong, G. Wang","doi":"10.1109/ISCIT55906.2022.9931278","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931278","url":null,"abstract":"The control of electromagnetic spectrum in the launch site area is very important to ensure the normal operation of frequency using electronic equipment during space launch. In view of the explosive growth of electromagnetic spectrum monitoring data, low utilization of spectrum data and great difficulty in abnormal spectrum monitoring, this paper analyzes the application of big data technology in electromagnetic spectrum management and control from the aspects of electromagnetic spectrum sensing, electromagnetic spectrum data storage, mining and utilization, and studies and designs the electromagnetic spectrum management and control system of launch site based on big data.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127610785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931207
Yang Liu, Zheng Xue, G. Han, Chang Liu, Canliang Liao
In VANETs, due to software or hardware mal-function, a failure node may absorb the network traffic and drop all packets. Failure management (i.e. identifying the failure node), plays a vital role in this situation. This task is performed by selected vehicles in the network, which are called 'agents'. Improper choice of agents can degrade the final failure node detection performance severely. For distributed schemes, agent selection for VANETs is challenging because of quick topology changes. In this paper, a fuzzy logic based agent selection method is proposed. This method comprehensively considers velocity, leadership, and routes of candidate vehicles. When the appropriate agent is selected, we deploy a neural network based failure node detection algorithm on it. We use numerical simulations to validate the effectiveness of the proposed method.
{"title":"Fuzzy Logic Based Agent Selection for Failure Management in VANETs","authors":"Yang Liu, Zheng Xue, G. Han, Chang Liu, Canliang Liao","doi":"10.1109/ISCIT55906.2022.9931207","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931207","url":null,"abstract":"In VANETs, due to software or hardware mal-function, a failure node may absorb the network traffic and drop all packets. Failure management (i.e. identifying the failure node), plays a vital role in this situation. This task is performed by selected vehicles in the network, which are called 'agents'. Improper choice of agents can degrade the final failure node detection performance severely. For distributed schemes, agent selection for VANETs is challenging because of quick topology changes. In this paper, a fuzzy logic based agent selection method is proposed. This method comprehensively considers velocity, leadership, and routes of candidate vehicles. When the appropriate agent is selected, we deploy a neural network based failure node detection algorithm on it. We use numerical simulations to validate the effectiveness of the proposed method.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115626557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vision transformers (ViTs) have made remarkable achievements in various computer vision applications such as image classification, object detection, and image segmentation. Since the self-attention mechanism introduced by itself can model the relationship between all pixels of the input image, the performance of the ViTs model is significantly improved compared to the traditional CNN network. However, their storage, runtime memory and computing requirements hinder their deployment on edge devices. This paper proposes a ViT pruning method with knowledge distillation, which can prune the ViT model and avoid the performance loss of the model after pruning. Based on the idea that knowledge distillation can make the student model improve the performance of the model by learning the unique knowledge of the teacher model, the convolution neural network (CNN) which has the unique ability of parameter sharing and local receptive field is used as a teacher model to guide the training of the ViT model and enable the ViT model to obtain the same ability. In addition, some important parts may be cut during pruning, resulting in irreversible loss of model performance. To solve this problem, this paper designs the importance score learning module to guide the pruning work, and determines that the pruning work removes the unimportant parts of the model. Finally, this paper compares the pruned model with other methods in terms of accuracy, Floating Point Operations(FLOPs) and model parameters on ImageNet-1k.
{"title":"A Knowledge- Distillation - Integrated Pruning Method for Vision Transformer","authors":"Bangguo Xu, Tiankui Zhang, Yapeng Wang, Zeren Chen","doi":"10.1109/ISCIT55906.2022.9931309","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931309","url":null,"abstract":"Vision transformers (ViTs) have made remarkable achievements in various computer vision applications such as image classification, object detection, and image segmentation. Since the self-attention mechanism introduced by itself can model the relationship between all pixels of the input image, the performance of the ViTs model is significantly improved compared to the traditional CNN network. However, their storage, runtime memory and computing requirements hinder their deployment on edge devices. This paper proposes a ViT pruning method with knowledge distillation, which can prune the ViT model and avoid the performance loss of the model after pruning. Based on the idea that knowledge distillation can make the student model improve the performance of the model by learning the unique knowledge of the teacher model, the convolution neural network (CNN) which has the unique ability of parameter sharing and local receptive field is used as a teacher model to guide the training of the ViT model and enable the ViT model to obtain the same ability. In addition, some important parts may be cut during pruning, resulting in irreversible loss of model performance. To solve this problem, this paper designs the importance score learning module to guide the pruning work, and determines that the pruning work removes the unimportant parts of the model. Finally, this paper compares the pruned model with other methods in terms of accuracy, Floating Point Operations(FLOPs) and model parameters on ImageNet-1k.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115942554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The measurement of microwave signals is of great significance because microwave signals carry important information in electronic warfare. However, conventional electronic microwave measurement systems are not suitable for transient frequency measurements of high-speed signals. A microwave frequency measurement technique is proposed and demonstrated based on frequency-power mapping. In this scheme, two optical carriers enter the phase modulator (PM) separately for phase modulation. The modulated signals are transmitted to a photodetector through a single-mode fiber. Besides, microwave frequency can be estimated by measuring the microwave power. This scheme avoids the bias drift problem of the intensity modulator and makes the system more stable. Therefore, this scheme is a promising IFM method. In addition, it is vital for its application in electronic warfare and high-resolution sensor systems.
{"title":"Microwave Frequency Measurement Based on Frequency-Power Mapping","authors":"Junkai Li, Hui Liu, Qunying Yang, Qing-an Ding, Zhe-Xin Dai, Jianyu Li, Jun Li, Qun Niu","doi":"10.1109/ISCIT55906.2022.9931200","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931200","url":null,"abstract":"The measurement of microwave signals is of great significance because microwave signals carry important information in electronic warfare. However, conventional electronic microwave measurement systems are not suitable for transient frequency measurements of high-speed signals. A microwave frequency measurement technique is proposed and demonstrated based on frequency-power mapping. In this scheme, two optical carriers enter the phase modulator (PM) separately for phase modulation. The modulated signals are transmitted to a photodetector through a single-mode fiber. Besides, microwave frequency can be estimated by measuring the microwave power. This scheme avoids the bias drift problem of the intensity modulator and makes the system more stable. Therefore, this scheme is a promising IFM method. In addition, it is vital for its application in electronic warfare and high-resolution sensor systems.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131234855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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