2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)最新文献

{"title":"Research on Antenna Altitude Setting of Shore-base Microwave Over-The-Horizon Radar","authors":"Wei Song, Hang Zhu, Ming Tan, Haiyan Lv","doi":"10.1109/CISCE58541.2023.10142408","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142408","url":null,"abstract":"Evaporation duct can increase radar detection range remarkably. Since this characteristic, the shore-based microwave over-the-horizon radar could be set on islands for sea area having no mountains and far away from main land, which can monitor distant targets on the sea continuously and efficiently. In order to find the best antenna altitude for shore-based microwave radar installed in tropic water island-reefs of Western Pacific, the statistic probability of evaporation duct heights were made and the average detect ranges were simulated for different radar frequency and antenna altitude with marine hydrometeorology data collected in recent 50 years, using the method of predicting radar detection range on the condition of evaporation duct. The Statistical results show that evaporation duct often occurs on the sea of Western Pacific, and the duct heights are always over 10 m. As a result, the average radar detection ranges are well above line-of-sight distance, which means it is very propitious to set shore-based microwave over-the-horizon radar. By comparison, OTH radar of C or X band is more suitable to be fixed on South China Sea than S or Ku band radar. When frequency is about 9 GHz and antenna altitude is at about 10m, the radar would get the furthest detection range.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"81 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":"134112007","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":"Rain Attenuation Effect and Countermeasures on Ka-Band Satellite Communications","authors":"Ling Zhang, Xinghua Zhang, Yu Zhao, J. Wang, Yi-yong Lin","doi":"10.1109/CISCE58541.2023.10142720","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142720","url":null,"abstract":"The wavelength of Ka-band is very close to the raindrop diameter, so it will cause large attenuation when the Ka-band signal through the rain layer. The rain attenuation will effect the signal transmission. According to method of ITU-R model, this paper estimates the rain attenuation of Ka-band satellite communication in region A, B and C. The result shows the rain attenuation will have great impact on Ka -band satellite communication in these areas and this paper describes the measures to reduce the impact.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"10 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":"123671995","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 Low-Loss and Wideband Quadrature Hybrid Coupler for Millimeter-Wave Attenuators","authors":"Wenzhu Zhang, Pengwei Chen, Jun Liu, Jiang Luo, Bin You","doi":"10.1109/CISCE58541.2023.10142509","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142509","url":null,"abstract":"In this paper, a novel quadrature hybrid coupler, composed of parallel-stripline (PSL) and a 180-degree phase inverter, is employed for millimeter-wave attenuator design. For verification, a reflection-type attenuator using this hybrid coupler has been implemented in a 0.13-μm SiGe BiCMOS process. The different attenuation levels of 0 dB (reference state), 2 dB, 4 dB, and 8 dB are achieved by adjusting the reflective loads. Capacitive compensation is used to improve the phase variation at high attenuation levels of 8 dB. The proposed attenuator demonstrates a simulated insertion loss (in the reference state) of less than 1.5 dB, a phase shift of less than 3.2 degrees, and an input/output return loss better than 15 dB within the operating frequency range of 170 GHz to 200 GHz.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"1 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":"124515688","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":"Chinese Character Skeleton Extraction Based on Linear Span Network","authors":"Lu Qin, Lin Shi","doi":"10.1109/CISCE58541.2023.10142731","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142731","url":null,"abstract":"Chinese character skeletons are key representations which abstract structures of Chinese characters into skeletons. Extraction the skeleton from images of Chinese characters is a fundamental task in field of Chinese character process. Existing image skeleton thinning algorithms for extracting Chinese character skeletons produced bifurcations which could not accurately reflect topological features and writing trajectories of Chinese characters. Existing image skeleton extraction methods based on deep neural networks also had difficulty in obtaining accurate single-pixel Chinese character skeletons. Here we proposed a hybrid Chinese character skeleton extraction method to resolve the above problems. Firstly, a dynamic skeleton extraction algorithm was proposed to automatically obtain a dataset using a customized digitalization platform of Chinese handwriting process. Secondly, an improved linear span network was trained using the dataset to extract the Chinese character skeletons. Thirdly, the extracted skeletons were refined using an image-thinning algorithm to obtain single-pixel Chinese character skeletons. Results showed that our method not only preserved the topological structures and writing trajectories of Chinese characters but also maintained connectivity at intersections of strokes which avoided generating burrs and bifurcations.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"88 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":"124824326","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 and Implementation of Enterprise Sensitive Information Monitoring System Based on RPA","authors":"Chunhui Zhao, Qing Qian, Jia Xue, Jie Pu, G. Yu, Nan Zhang","doi":"10.1109/CISCE58541.2023.10142313","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142313","url":null,"abstract":"In order to eliminate hidden network risks and curb confidentiality violations in a timely closed loop,enterprises deploy a network sensitive information monitoring system for sensitive information monitoring of office terminals of key personnel. As the granularity of the supervision of network sensitive information becomes more and more refined,the monitoring coverage becomes more and more extensive and the requirements for monitoring and early warning timeliness are getting higher and higher,it is difficult to meet the needs of traditional guarding methods to carry out self-examination and self-defense of sensitive information. This paper proposes the design and deployment scheme of enterprise sensitive information system based on RPA digital technology, which realizes 7*24-hour sensitive data monitoring duty,makes up for and breaks through the shortcomings of ‘difficult discovery’, ensures full coverage of enterprise office terminal monitoring,opens up the online supervision chain of sensitive information and effectively promotes the improvement of information supervision capabilities.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"50 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":"128232637","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":"AU-Shaped Fourier Unit Transformer for Single Image Deblurring","authors":"Hongmei Zhang, Yongde Guo","doi":"10.1109/CISCE58541.2023.10142927","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142927","url":null,"abstract":"There are many causes of image blurring, including optical, atmospheric, artificial and technical factors, etc. It is important to deblur images in daily production life. To achieve better results, different methods are needed to deal with different causes of blurring. From the technical aspect, blurred image processing methods are divided into three main categories, namely image enhancement, image restoration and super-resolution reconstruction. Overall, although blurred image processing algorithms have achieved a very wide range of applications, but image algorithms have their own limitations after all, we can not pin all problems on the image algorithm, for different kinds of blurred problems, to be treated differently. For blurring or image quality degradation caused by lens out of focus, dust obscuring, line aging, camera failure, etc., with the help of video diagnostic system, must be repaired in time to solve the problem at the source. For low light and other priority to choose day and night type high-sensitivity cameras, for rain and fog, motion and pre-sampling caused by image quality degradation, you can use the “video enhancement server” contains a variety of blur image processing algorithms to improve image quality. The purpose of single-image deblurring is to restore blurry images to sharp images and recover the texture detail features of the image. The Transformer model is able to capture the correlation of the blurry pixels over long distances, which has significant performance on image deblurring tasks, but its computational complexity grows quadratically with increasing spatial resolution. In addition, some methods use convolution to reduce image resolution, but it leads to information loss. In this paper, we propose an effective Transformer model, named Fourier Unit Transformer (FUformer), based on Fourier transform constructing the shallow features extraction module and the self-attention module, which can reduce computational complexity and fuse image local and global features to recover image texture details. Experimental results show that the proposed method performs well on the deblurring task. Code will be available at https://github.com/zox-iii/FUformer.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"151 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":"125367403","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":"DANNA: A Dimension-Aware Neural Network Accelerator for Unstructured Sparsity","authors":"Xinyu Liu, Haigang Feng","doi":"10.1109/CISCE58541.2023.10142599","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142599","url":null,"abstract":"With the development of technology in deep neural network (DNN) pruning, Neural Acceleration Processor can be designed to get more efficiency advantage by exploiting all sparsity in neural network. However, sparse data has irregular coordination, which result that the exist sparse designs have serious storage waste and high latency. In this work, we present a Dimension-Aware Neural Network Acceleration (DANNA) to optimize those problems. Specifically, DANNA employs novel Dimension-first dataflow and custom microarchitecture, which substantially reduce both memory amounts and memory access collision (hash collision). Furthermore, DANNA leverages a fixed channel-share-LUT based on channel reuse characteristics in convolution to replace the traditional tedious coordinator comparison, which saves consumption of logic.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"108 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":"121672807","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":"Efficient Federated Learning Method for Cloud-Edge Network Communication","authors":"Jing Duan, Jie Duan, Xuefeng Wan, Yang Li","doi":"10.1109/CISCE58541.2023.10142819","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142819","url":null,"abstract":"Traditional federated learning (FL) decomposes the server's training tasks to the client for parallel learning, which increases the computational burden on the client and increases the communication overhead for model exchange between the server and the client. Although split federated learning divides the model and trains it on the client and server respectively, the computational pressure of client training is reduced, but the intermediate features and gradient information between the client and the server introduce additional communication costs. At the same time, if the number of clients is too large, the calculation pressure of the server-side parallel training model will also increase greatly. In this paper, we propose a split federated learning method based on client-side clustering, which reduces the additional communication between the client and the server by clustering the client according to the data distribution and compressing the activation vector of the split layer by vector quantization. It can also reduce the computing overhead of the server. The experimental results show that the method proposed in this paper can reduce the communication cost by 51.2% and the training time by 33.3% while maintaining the same accuracy.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"1 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":"131172844","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":"Data transfer management policy optimization for unified memory","authors":"Hengliang Guo, Long Zhang, Yi Zhang, Jianan Li","doi":"10.1109/CISCE58541.2023.10142582","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142582","url":null,"abstract":"OpenMP 4.5 refines the offload feature to better support heterogeneous computing. Explicit specification programming is currently required to optimize data transfer in OpenMP offload programs, but manual programming is not efficient or performant. Although DCU-supported unified memory provides a scheme for compilers to implicitly manage data transfers, target offload programs using unified memory perform poorly when program requests exceed the physical memory size. Therefore, this paper proposes a UMAT scheme for automatically optimizing unified memory-based data transfer management, which guides runtime management of data transfers by calculating the access frequency of data objects in the unified memory space. Test results show that the scheme has significant performance improvement for target offload programs using unified memory.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"19 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":"131854111","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":"High Efficient Secret Key Reconciliation Scheme Based on Cascade Algorithm","authors":"Keming Tian, Gang Xin, Jian Zhang, Long Li","doi":"10.1109/CISCE58541.2023.10142787","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142787","url":null,"abstract":"In the quantum key generation scheme, key reconciliation is used to eliminate inconsistent key bitstream between partners. The speed of reconciliation and the retention length of data are the main indicators for evaluating a reconciliation method. The Cascade algorithm is developed based on the BINARY reconciliation. By forward backtracking, Cascade can correct even-numbered errors hidden in the data. However, its computational complexity seriously affects the reconciliation speed, and the final length of key generated is relatively low. In this paper, an optimization method BFR-Cascade algorithm is proposed to reduce the computational complexity. Meanwhile, the final unified deletion rule (FUDR) is applied to increase retention length of data. Compared with Cascade algorithm, the proposed method can achieve 54% higher reconciliation speed when the signal-to-noise ratio (SNR) is 8dB, and the retention length of data is increased by at least 44% through FUDR.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"146 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":"114785780","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}