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2022 12th International Conference on Information Science and Technology (ICIST)最新文献

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An Intrusion Detection Algorithm Based on Hybrid Autoencoder and Decision Tree 基于混合自编码器和决策树的入侵检测算法
2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926895
Xiaoyu Du, Lv Lin, Zhijie Han, Changtao Zhang
{"title":"An Intrusion Detection Algorithm Based on Hybrid Autoencoder and Decision Tree","authors":"Xiaoyu Du, Lv Lin, Zhijie Han, Changtao Zhang","doi":"10.1109/ICIST55546.2022.9926895","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926895","url":null,"abstract":"Intrusion detection can monitor network transmis-sion in real-time. It is an active security protection technology, which plays a great role in network security. In this paper, a method based on a hybrid autoencoder and decision tree is proposed to conduct intrusion detection. The autoencoder is trained through positive sample data to make its parameters fit the normal flow. The gap between normal samples and abnormal samples is distinguished by calculating the loss value, and the gap is standardized as a newly generated feature. This method can not only avoid the information loss caused by dimensionality reduction of high-dimensional data but also ensure speed and accuracy. The intrusion detection algorithm with hybrid auto encoder and decision tree obtained by the method proposed in this paper is stronger than using decision tree alone and many common machine learning methods. For example, compare the decision tree method 1.74 % better in accuracy, 2.16% better in precision, 1.47% better in recall, 1.81 % better in fscore.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117147254","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}
引用次数: 0
Epilepsy prediction based on PTE and TE of EEG signals using DSC-CNN 基于脑电信号PTE和TE的DSC-CNN癫痫预测
2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926907
Yanping Mu, Xiaofeng Zhang, Meng Zhang, Huimin Wang
{"title":"Epilepsy prediction based on PTE and TE of EEG signals using DSC-CNN","authors":"Yanping Mu, Xiaofeng Zhang, Meng Zhang, Huimin Wang","doi":"10.1109/ICIST55546.2022.9926907","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926907","url":null,"abstract":"Epilepsy is a disease caused by abnormal discharge of neurons, which can seriously endanger people's life. Therefore, it is necessary to predict the occurrence of epilepsy timely. The main content of epilepsy prediction is to distinguish the preictal and interictal periods of electroencephalography (EEG) signals. The transfer entropy (TE) and phase transfer entropy (PTE) of EEG signals is computed and sliced to form the features of the EEG signals. Then, these features are inputted to a depthwise separable convolutional neural network (DSC-CNN), which has a small amount of parameters and computation, to classify the two periods of EEG signals. The CHB-MIT scalp EEG dataset are used to evaluate the performance of this scheme. The computation results are also compared to other state-of-the-art algorithms to verify its advantages. Experimental results show that the prediction time with this method reaches 22.6 minutes. The prediction specificity is 99.26% for the prediction time of 15 minutes, and it is 99.52% for the prediction time of 22.6 minutes. Moreover, the DSC-CNN has a small amount of parameters and short running time.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126186484","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}
引用次数: 0
Improved Bloom Filter for Efficient Image Retrieval on Mobile Device 改进的布隆滤波器在移动设备上的有效图像检索
2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926800
Wing W. Y. Ng, Yongzhi Xu, Xing Tian, Yuxiang Yang, Haotian Wu, Ying Gao
{"title":"Improved Bloom Filter for Efficient Image Retrieval on Mobile Device","authors":"Wing W. Y. Ng, Yongzhi Xu, Xing Tian, Yuxiang Yang, Haotian Wu, Ying Gao","doi":"10.1109/ICIST55546.2022.9926800","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926800","url":null,"abstract":"A huge volume of images is uploaded to the mobile cloud environment every day with rapid growth of mobile devices. Different from retrieving image using a personal computer, infor-mation retrieval on mobile devices requires higher efficiency due to limitations in data transmission and memory cost. Therefore, an efficient scalable image retrieval model is proposed in this paper which consists of a two-layer bloom filter. The first layer of the proposed bloom filter generated from the asymmetric cyclical hashing (ACH) is used for primary image existence verification. In order to reduce the false positive rate commonly happening in bloom filters, the second layer of the bloom filter based on secure hashing is applied for verification in the second stage. The proposed model realizes approximated nearest neighbor retrieval with limited cost of storage and protects the stored data from illegal access simultaneously. Experimental results show that the proposed model yields significant better retrieval accuracy than other retrieval methods with more than 6 times faster in retrieval time and a smaller space requirement.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114594058","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}
引用次数: 0
Control of nonlinear systems with predefined constraints using neural networks 基于神经网络的预定义约束非线性系统控制
2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926890
Fei Gao, Lu Zhang, Zhi Weng
{"title":"Control of nonlinear systems with predefined constraints using neural networks","authors":"Fei Gao, Lu Zhang, Zhi Weng","doi":"10.1109/ICIST55546.2022.9926890","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926890","url":null,"abstract":"This paper proposes a new nonlinear mapping to address the output constraint problem. We transform the constrained tracking error into an equivalent unconstrained one. Then adaptive neural network (NN) control with predefined constraints is studied for nonlinear systems. The proposed scheme guarantees that all the signals in the closed-loop system are bounded and the system output asymptotically tracks the reference trajectory without the violation of the predefined constraints. Finally, we give a numerical example to show effectiveness of the proposed scheme.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131292513","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}
引用次数: 0
Adaptive Sliding Mode Control for Motor Cyber Physical System 电机网络物理系统的自适应滑模控制
2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926905
Zhenhai Miao, Meng Li, Zepei Sun, Yong Chen
{"title":"Adaptive Sliding Mode Control for Motor Cyber Physical System","authors":"Zhenhai Miao, Meng Li, Zepei Sun, Yong Chen","doi":"10.1109/ICIST55546.2022.9926905","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926905","url":null,"abstract":"In this paper, the control problem of remote motor in cyber physical system (CPSs) under external disturbance is studied. An adaptive sliding mode reaching law and a double-threshold event-triggered strategy is proposed. Firstly, to reduce the chattering of the sliding mode surface, a new adaptive reaching law is designed, and the reachability is confirmed. In addition, a double-threshold event triggered strategy is proposed in order to effectively lower the system's consumption of communication resources. Finally, the stability of the system is proved. Furthermore, the effectiveness of the method is verified using a servo motor system.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116022493","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}
引用次数: 0
Time Series Segmentation and Clustering Method Based on Cloud Model 基于云模型的时间序列分割与聚类方法
2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926837
Jinwu Li, Yan Zhang
{"title":"Time Series Segmentation and Clustering Method Based on Cloud Model","authors":"Jinwu Li, Yan Zhang","doi":"10.1109/ICIST55546.2022.9926837","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926837","url":null,"abstract":"In order to effectively evaluate the time series with high dimensionality and uncertainty, a time series segmentation and clustering method integrating cloud model analysis is proposed. The entropy and super entropy of the cloud model are used to identify the subsequence with the worst stability, further divide the subsequence, and dynamically realize segmentation to form a cloud model sequence. At the same time, the effectiveness evaluation indicator of segmented aggregation is constructed by the cloud model to determine the optimal number of segments. For different cloud model sequences, the cloud models are matched through the relationship of time window, and the similarity measures are given. The results of experiments indicate that the proposed method can effectively determine the number of time series segments, and greatly compress the original sequence, retain the basic characteristics of the data and improve the clustering efficiency of time series.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123947319","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}
引用次数: 0
Multi-Class Pavement Disease Recognition Using Object Detection and Segmentation 基于目标检测和分割的多类路面病害识别
2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926783
Kun Zhang, Mingkai Zheng, Qing Yu, Yi Liu
{"title":"Multi-Class Pavement Disease Recognition Using Object Detection and Segmentation","authors":"Kun Zhang, Mingkai Zheng, Qing Yu, Yi Liu","doi":"10.1109/ICIST55546.2022.9926783","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926783","url":null,"abstract":"Pavement disease is an important factor threatening road safety. Most traditional disease recognition methods often rely on manual detection, which is time-consuming and inefficient. In this work, by introducing the object detection and segmentation into the detection of pavement diseases, a multi-class pavement disease detection method is proposed. First, diseases are located based on YOLOv4. CSPDarknet53 is used as the backbone network. The feature extraction performance is further improved by spatial pyramid pooling. Then, on the basis of pavement disease location, the pyramid scene parsing network (PSPNet) is employed to extract the pixel of the disease area to realize the accurate analysis of the anomaly. The feasibility of the proposed method is verified by a pavement disease detection experiment using the actual road dataset collected from a province in eastern China, including seven common diseases.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125948155","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}
引用次数: 0
Enriching Style Transfer in multi-scale control based personalized end-to-end speech synthesis 基于个性化端到端语音合成的多尺度控制丰富风格迁移
2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926908
Zhongcai Lyu, Jie Zhu
{"title":"Enriching Style Transfer in multi-scale control based personalized end-to-end speech synthesis","authors":"Zhongcai Lyu, Jie Zhu","doi":"10.1109/ICIST55546.2022.9926908","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926908","url":null,"abstract":"Personalized speech synthesis aims to transfer speech style with a few speech samples from the target speaker. However, pretrain and fine-tuning techniques are required to overcome the problem of poor performance for similarity and prosody in a data-limited condition. In this paper, a zero-shot style transfer framework based on multi-scale control is presented to handle the above problems. Firstly, speaker embedding is extracted from a single reference speech audio by a specially designed reference encoder, with which Speaker-Adaptive Linear Modulation (SALM) could generate the scale and bias vector to influence the encoder output, and consequently greatly enhance the adaptability to unseen speakers. Secondly, we propose a prosody module that includes a prosody extractor and prosody predictor, which can efficiently predict the prosody of the generated speech from the reference audio and text information and achieve phoneme-level prosody control, thus increasing the diversity of the synthesized speech. Using both objective and subjective metrics for evaluation, the experiments demonstrate that our model is capable of synthesizing speech of high naturalness and similarity of speech, with only a few or even a single piece of data from the target speaker.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129431593","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}
引用次数: 0
Distributed Leader-Following Optimal Control for Linear Multi-Agent Systems with Nonzero Leader's Control Input 具有非零领导控制输入的线性多智能体系统分布式领导跟随最优控制
2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926963
Guan Huang, Zhuo Zhang, Weisheng Yan
{"title":"Distributed Leader-Following Optimal Control for Linear Multi-Agent Systems with Nonzero Leader's Control Input","authors":"Guan Huang, Zhuo Zhang, Weisheng Yan","doi":"10.1109/ICIST55546.2022.9926963","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926963","url":null,"abstract":"This paper studies the distributed leader-following optimal control problem for multi-agent systems (MASs). In particular, a class of linear MASs with leader's bounded unknown control input is considered. We propose a dynamical sliding mode control protocol to address the presence of nonzero control input of leader. Meanwhile, we design a distributed optimal nominal control protocol to achieve leader-following consensus control of MASs. Under the nominal control protocol, the energy cost performance of the MASs can be optimized by solving the algebraic Riccati equation (ARE). Finally, a numerical simulation of multi spacecraft consensus tracking control example is provided to verify the effectiveness of the proposed algorithm.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131250379","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}
引用次数: 0
Practical Adaptive Event-triggered Finite-time Stabilization for A Class of Second-order Systems 一类二阶系统的实用自适应事件触发有限时间镇定
2022 12th International Conference on Information Science and Technology (ICIST) Pub Date : 2022-10-14 DOI: 10.1109/ICIST55546.2022.9926865
Wenhui Dou, Shihong Ding, Chen Ding
{"title":"Practical Adaptive Event-triggered Finite-time Stabilization for A Class of Second-order Systems","authors":"Wenhui Dou, Shihong Ding, Chen Ding","doi":"10.1109/ICIST55546.2022.9926865","DOIUrl":"https://doi.org/10.1109/ICIST55546.2022.9926865","url":null,"abstract":"This paper considers the practical adaptive event-triggered finite-time stabilization problem for a class of second-order systems. First, by using the adding a power integrator (API) technique, a novel adaptive event-triggered control method is proposed to assure the practical finite-time stability of the closed-loop system. Under the constructed adaptive law, the control gain changes dynamically according to whether the state enters or leaves the predefined domain. In addition, via utilizing the Lyapunov method, the practical finite-time stability (PFTS) of the closed-loop system is proved, and the control system does not exist in the Zeno behavior. Finally, the effectiveness of the designed algorithm is verified by the simulation results.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114233975","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}
引用次数: 0
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