{"title":"A Topology Overlap-based Algorithm for Identifying Key Nodes in Complex Networks","authors":"Jiawen Zhang, Huameng Gao, Di Lu","doi":"10.1109/CISCE58541.2023.10142933","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142933","url":null,"abstract":"Key node identification is an important tool for analyzing and mastering complex networks, and plays an important role in studying the destructiveness, robustness, and vulnerability of networks and maintaining the stability of networks. In order to identify the critical nodes in complex networks efficiently and accurately, this paper proposes a node importance identification method based on network topology overlap, which makes up for the deficiency of a single criterion of degree centrality in the process of critical node identification by calculating the number of intersections of degree centrality and neighboring nodes. The results show that the algorithm can identify the critical nodes in the actual communication network more accurately and suggest the optimization of anti-destructiveness under deliberate attacks, which effectively improves the stability of the fiber optic communication network through simulation tests and destructiveness analysis in some regions.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"147 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132026162","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}
{"title":"A Hierarchical Data Encryption Algorithm Based on Iteration","authors":"Wanbo Yu, Fei Duan","doi":"10.1109/CISCE58541.2023.10142263","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142263","url":null,"abstract":"In recent years, the application of chaos in the field of encryption is increasing. The chaotic characteristics of chaotic sequences make the encryption effect greatly improved compared with other encryption methods, mainly in encryption time, space and security. This paper mainly applies chaotic system to encrypt data stream hierarchically and continuously. Layers can be modified according to different scenarios, keys are one-dimensional arrays. At the beginning, use the function to generate the KEY1. Generate KEY2 using random function. KEY1. and KEY2 iterate to generate a new key END1 to encrypt the first layer of data. Using the encrypted first layer data as the KEY3. KEY3 and KEY2 iterate to generate a new key END2 to encrypt the next layer of data. Repeat the above operations to achieve hierarchical continuous encryption of data, the key also changes with the content. The encryption time, key space, anti-attack performance and various encryption indexes of the algorithm are analyzed by experiments. It is proved that the algorithm is an encryption method suitable for various situations, with small storage space, energy saving and high security.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"29 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131881669","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}
{"title":"A Broadband Multi-Helix Conformal Sparse Array Design Method","authors":"Jieqi Zhu, Di Huang, Qiang Kong, Peilin Su","doi":"10.1109/CISCE58541.2023.10142650","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142650","url":null,"abstract":"The whole boat/UUV conformal sonar can make full use of the surface space of the installation platform to increase the effective aperture of the array, improve the long-range detection capability of the sonar, and there are no problems such as low operating frequency and limited use conditions of the towed line array. It is the future The development direction of submarine/UUV sonar, but there are many problems such as large-scale array elements and difficulties in realizing data transmission and power supply functions when laying a large-scale acoustic array on the surface of submarine/UUV. In this paper, aiming at the problem of realizing the surface conformal sonar of the whole boat/UUV, a wide-band multi-helix conformal sparse array method is proposed. The element spacing and the number of array elements, through simulation analysis, the number of array elements is 1/10 of the number of close-packed conformal array elements, and has lower side lobes at broadband operating frequencies, which can meet the needs of underwater acoustic detection and reconnaissance, communication, target recognition and other multi-functional requirements.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132907072","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}
{"title":"Research on Data Transmission Mechanism of Crowdsourced Bathymetry based on VDES Technology","authors":"Xiaofei Guo, Lingzhi Wu, Gege Ding, Jie Wen","doi":"10.1109/CISCE58541.2023.10142804","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142804","url":null,"abstract":"In view of few means and insufficient capacity of crowdsourced bathymetry data transmission in China's coastal waters, this paper puts forward the use of application specific message (ASM) which as a part of VHF data exchange system (VDES) to transmit CSB data in coastal waters, based on the transmission requirements of CSB data or even metadata and the analysis on the transmission capacity of ASM. Through calculation, the paper demonstrates the feasibility of transmitting CSB data by ASM in coastal waters, and effectively solves the problem of CSB data transmission.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125188564","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}
Linjie Xia, Qiaoling Shen, Zicheng Wang, Yi Wang, Dewei Shu, Haipeng Li
{"title":"Seq2Seq-Attention based text topic representation","authors":"Linjie Xia, Qiaoling Shen, Zicheng Wang, Yi Wang, Dewei Shu, Haipeng Li","doi":"10.1109/CISCE58541.2023.10142391","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142391","url":null,"abstract":"After the issue of keywords not effectively representing the theme in topic discovery tasks, this paper proposes a text topic representation method based on Seq2Seq-Attention, aiming to create a concise and refined topic representation. Firstly, the Encoder module uses a two-layer bidirectional recurrent neural network for text information feature extraction, the Decoder sub-module uses a two-layer unidirectional recurrent neural network and combines with an attention mechanism model to complete the decoding task and outputs the desired sequence of popular topic characters. Finally, the effectiveness of the method is verified through comparative experiments.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128021623","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}
{"title":"Design of Intelligent Push System for Teaching Resources Based on User Interest Preference","authors":"Wenyue Li, Yajuan Bai, Lingchun Meng","doi":"10.1109/CISCE58541.2023.10142816","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142816","url":null,"abstract":"Aiming at the personalized online learning needs of teachers and students, this paper proposes an intelligent push system based on user interest preferences. This system identifies users with similar interests based on measuring the similarity between different users. Then, by analyzing and integrating the resources and ratings that all users are interested in, accurately identify the user's bias weight and mark it. Explore and automatically push resources that meet the personalized learning needs of teachers and students in the resource platform, further improving the utilization rate of learning resources in the teaching resource platform.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"154 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120861944","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}
{"title":"CNN-based Articulatory Feature Recognition for Kunqu-Singing Pronunciation Evaluation","authors":"Yizhi Wu, Meng-Fu Huang","doi":"10.1109/CISCE58541.2023.10142856","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142856","url":null,"abstract":"In order to achieve ‘Accurate pronunciation and proper melody’ in Kunqu-singing, the automatic evaluation of pronunciation based on ASR (Automatic Speech Recognition) can be greatly beneficial for learners. In modern phonetics, the articulatory feature describes the articulatory movement during speech production, which directly impact the quality and characteristics of pronunciation. To provide effective feedback for mispronunciation detection in Kunqu-singing, we propose a CNN-based articulatory feature recognition model. To tackle the issue of limited training corpus, we incorporate transfer learning into the model training by utilizing both Jingju and Kunqu corpus. The experimental results from our self-built Kunqu corpus show that the incorporation of transfer learning led to a 6% improvement in the recognition rate of articulatory feature, and the average recognition rate of various articulatory features reached 83.7%, which is 24.4% better than phoneme recognition.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"102 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120874108","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}
{"title":"A Dual-cluster Heads Clustering Algorithm for Wireless Sensor Network Based on Improved Fuzzy C-means","authors":"Wangsheng Fang, Xu Wang","doi":"10.1109/CISCE58541.2023.10142908","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142908","url":null,"abstract":"A dual-cluster heads clustering algorithm for wireless sensor network based on improved fuzzy C-means is proposed to address the limited energy and uneven node load issues in wireless sensor network. In the clustering phase, the proposed algorithm calculates the optimal number of clusters for current network nodes and uses the FCM algorithm optimized by the sparrow search algorithm to cluster nodes, solving the sensitivity problem of the FCM algorithm to initial clustering centers. In the cluster head selection phase, a dual-cluster heads mechanism is introduced to alleviate the energy load of a single cluster head, where the primary cluster head is responsible for data collection, fusion, and transmission, and the secondary cluster head is responsible for data relay. When selecting the primary and secondary cluster heads, two fitness functions are constructed based on the remaining energy of nodes, the communication distance within the cluster, and the distance from nodes to the base station. The primary and secondary cluster heads are selected according to different fitness functions. Simulation results show that the proposed algorithm can effectively balance network energy consumption and prolong the network lifetime.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124360445","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}
{"title":"Design of Millimeter Wave Radar Broadband Microstrip Antenna for Blast Furnace","authors":"Danyang Jiang, Qingwen Hou, Xianzhong Chen","doi":"10.1109/CISCE58541.2023.10142740","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142740","url":null,"abstract":"In this paper, a wideband microstrip array antenna based on millimeter-wave radar is proposed, to achieve strong anti-interference ability and high resolution for detecting the burden surface of blast furnaces. The antenna consists of a Chebyshev main radiation patch array and a button-shaped coplanar parasitic element array. The coplanar parasitic elements alter the coupling between antenna patches to widen the bandwidth. It improves the limitation of the angular resolution of the previous millimeter-wave array antenna due to the problem of insufficient bandwidth. Simulation results show that the −10 dB impedance bandwidth is 7.89 GHz and the antenna main gain reaches 13.92 dBi. The antenna is suitable for high-gain and high anti-interference millimeter-wave radar systems and has greatly reduced dimensions of approximately twenty millimeters, making it applicable for placement in the protective cabin of a blast furnace detection system. It has great potential for solving issues related to the impact of internal environments on blast furnace operations.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117124344","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}
{"title":"Dynamic overlapping community detection algorithm based on topic segmentation","authors":"Junjie Jia, LiFang Li","doi":"10.1109/CISCE58541.2023.10142768","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142768","url":null,"abstract":"The study of dynamic overlapping semantic communities is an important research content for people to analyze the development pattern of events, monitor the trend of public opinion and commercial personalized recommendation. However, existing dynamic community detection algorithms ignore the influence of attributes on community structure, which not only affects the accuracy of community structure but also fragments the relationship between community and topic, and the similarity of topics within the community is not high. Therefore, this paper proposes a dynamic community detection algorithm based on topic division (DOCTS), which uses node attribute features to make topics, combines the network structures of adjacent moments to get weighted subnetworks, then uses Louvain algorithm to detect weighted subnetworks to get topic sub-communities, and finally, merges and optimizes the communities that will have high similarity to get overlapping topic communities. It is verified in real dataset Facebook that the algorithm can effectively detect communities in dynamic networks and also analyze the community structure based on topic evolution.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115944153","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}