{"title":"An Analysis Method for Hit Accuracy of Gun-Launched Reconnaissance and Strike Integrated Unmanned Aerial Vehicle","authors":"T. Jiang, Junjie Yin, Xiangsen Ma, Yukun Mao","doi":"10.1109/icicse55337.2022.9828979","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828979","url":null,"abstract":"An analysis method for the hit accuracy of a gun-launched unmanned reconnaissance and strike integrated Unmanned Aerial Vehicle (UAV), guided by a half-strap down seeker, is proposed, while the sensitivity in the guidance blind range is analyzed. First, based on the analysis of UAV motion feature, the calculation of circular error and hit probability values are derived, using trapezoidal double integral method; then, the guidance model, the control model and the steering gear model, based on the constraint of falling angle, are constructed. The Monte Carlo shooting of UAV is used to attack stationary and moving targets at different blind zones of guidance values, while the sensitivity of target circular error probability and collision probability of the UAV is analyzed. The simulation results indicate that, the circular error probability of UAV increases rapidly, while the collision probability decreases rapidly, as the value rises, whereas at values, the hit accuracy decreases more rapidly. This proposed approach can lay a foundation for the analysis of system indicators in reconnaissance and strike integrated UAVs.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124096072","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":"Automatic Depression Recognition Using Multi-scale Facial Behavior Dynamics","authors":"Yajun Zhu","doi":"10.1109/icicse55337.2022.9828962","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828962","url":null,"abstract":"Depression is currently the most common mental health issue that has negative impacts on a large number of people’s life. Although many recent studies proposed to estimate depression severity from human behaviors, the majority of them failed to consider multi-scale behavioral dynamics, which can be crucial clues for depression recognition. In this paper, we propose a novel system that can encode multi-scale short-term and long-term behavioral dynamics for depression recognition. It first extends Dynamic Image Algorithm to extract multi-scale short-term behavioral dynamic feature time-series at the frame-level using different time-windows. Then, we encode the time-series of frame-level short-term dynamic features of a whole video into a spectral representation, which encodes multi-scale long-term behavioral dynamic features. Finally, we feed this video-level multi-scale dynamic representations to standard ANN for depression severity estimation. The experiment results achieved on AVEC 2017 dataset show that the proposed multi-scale facial dynamic encoding approach can provide accurate depression severity prediction than most existing methods that did not consider such temporal information.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130877425","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 Multi Station Power Synthesis Basedon Time Reversal Mirror","authors":"Zhang Xiukun","doi":"10.1109/icicse55337.2022.9828871","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828871","url":null,"abstract":"In the process of transmission, electromagnetic waves will be affected by terrain and ground objects, resulting in reflection, diffraction, and scattering. The receiving end receives signals with different paths superimposed on each other. In this way, the superposition of signals from the same source and different paths will strengthen or attenuate the energy of the signal. The emergence of time reversal technology turns the unfavorable factors of multipath effects into favorable factors, and makes full use of multipath components for superposition, so as to achieve energy focusing Effect. Based on the basic principle of time-reversal mirror and the propagation environment of multipath delay channel, this paper studies the application of time-reversal mirror technology in multi-station power combining. The basic theory of time-reversal mirror application is studied and discussed, and the signal power enhancement characteristics of time-reversal mirror in array signals are deduced, which can effectively Increase the signal synthesis power, thereby improving the signal quality of the multipath channel.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134031888","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":"MARG-UNet: A Single Image Dehazing Network Based on Multimodal Attention Residual Group","authors":"Hao Guo, Jin-Chun Piao","doi":"10.1109/icicse55337.2022.9828891","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828891","url":null,"abstract":"In real life, fog is generated under specific weather conditions, which reduces the color fidelity and information integrity of outdoor images. Although dehazing methods based on the convolutional neural network (CNN) had been rapid and significant progress, there are still problems of non-homogeneous haze that cannot be completely removed in the image, and the image after dehazing appears conspicuous color and structure migration between the hazy-free image and the clean image, which cannot be consistent with the human visual system. Based on the above problems, this paper proposes a dehazing model with encoder-decoder architecture, which enhances the feature extraction ability of non-homogeneous by embedding channel attention and pixel attention in the residual blocks, enhancing the dehazing performance of the model. At the same time, the multiscale structural similarity index (MS-SSIM) loss function and Mean Absolute Error (MAE) loss function is introduced to make inconspicuous color and structure deviation between the dehazing image and the clean image. Experiment results show that the Peak Signal to Noise Ratio (PSNR) is improved by 1.27% without reducing the Structural Similarity (SSIM). The image after dehazing is more matched with the human visual system, which effectively solves the problem of incomplete image dehazing.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114219752","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 Hybrid Schedule Technology Based on Genetic Algorithm and Simulated Annealing for Time-Triggered Ethernet","authors":"Haiying Yuan, Yichen Wang","doi":"10.1109/icicse55337.2022.9828940","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828940","url":null,"abstract":"Time-triggered Ethernet (TTE) places stringent requirements on communication real-time, message security and uses efficient static scheduling algorithms for TT messages to guarantee the service quality of the network. In order to improve the solving performance of TT message schedule, a hybrid schedule technology based on genetic algorithm and simulated annealing is innovatively used in the TTE scheduling solution process. It includes the optimization of coding, selection and crossover. The TT message transmission constraint in the form of penalty functions is combined with TTE objective function to devise an adaptability function with the configurable parameters. In addition, the individual update process is designed by using the idea of annealing. Messages scenarios are set up to comprehensively evaluate the algorithm performance in operational efficiency and solution quality. Experimental results indicate that the hybrid technology combined genetic algorithm and simulated annealing is well qualified for TTE scheduling, which performs well in time consumption and global solution search.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"887 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125234947","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":"Neural Data-to-Text Generation Guided by Predicted Plan","authors":"Hanning Gao, Zhihua Wei","doi":"10.1109/icicse55337.2022.9828913","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828913","url":null,"abstract":"Data-to-text generation task aims to generate natural language text from structured data and has made great progress in recent years with the help of end-to-end neural network models. However, these end-to-end approaches often ignore the structure of the output text and convey the information in the input data in a random order. When faced with the data-to-text generation task, a person tends to make a plan for the complex input before writing the final text, which is inconsistent with end-to-end approaches. In this paper, we propose a novel plan-guided data-to-text generation framework consisting of a plan generator GT5 and a text generator Share-T5. The plan generator GT5 first predicts a plan based on the input data and then the text generator Share-T5 generates the target text based on the input data and the predicted plan. Empirical comparisons with strong baselines on two benchmark datasets show that our proposed plan-guided data-to-text generation framework can significantly improve the performance of plan prediction and text generation.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115918462","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 and Analysis of Anti-jamming Performance on the Joint Tactical Information Distribution System","authors":"Jiaqi Liang, Yue Li, Hongbo Liu","doi":"10.1109/icicse55337.2022.9828971","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828971","url":null,"abstract":"The Joint Tactical Information Distribution System (JTIDS) is the communication component of Link-16. In order to have a deeper understanding of the communication of Link-16, this paper studies and analyzes the anti-jamming performance of JTIDS. This paper establishes the signal transmission model of JTIDS and jamming model first, analyzes the signal encoding, modulation and transmission process. Then the effects of broadband/partial-band jamming and comb jamming on JTIDS are studied respectively. It turns out that partial-band jamming is more effective than broadband jamming, and comb jamming is more destructive to message data. And in some cases, the signals of JTIDS can be transmitted normally even if they are swamped by noise jamming.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130041374","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":"ICICSE 2022 Cover Page","authors":"","doi":"10.1109/icicse55337.2022.9828985","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828985","url":null,"abstract":"","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123988605","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}
Antonio B. da Costa, Maria A. C. Meireles, Francisco Caio de Barros, Gaspar Mota, Lennon C. Chaves, Lidia Roque
{"title":"TSS Script: Automation Tool Applied in the Preparation of True Single SKU Testing Environment","authors":"Antonio B. da Costa, Maria A. C. Meireles, Francisco Caio de Barros, Gaspar Mota, Lennon C. Chaves, Lidia Roque","doi":"10.1109/icicse55337.2022.9828981","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828981","url":null,"abstract":"Considering the advance of globalization in the software development process, companies are gradually more committed to improving their technologies by using the software testing approach. Software testing which could be performed manually or automatically, is an impactful activity throughout the development process, as it ensures business requirements are met and leads to customer satisfaction. Studies indicate that the use of automation in tests can reduce execution time and provide greater precision in the results obtained. Therefore, this work presents the development of a tool called TSS Script that automates the device setup process, in order to validate its requirements. This work aims to obtain significant gains in execution time and in the reduction of errors during the test environment preparation. Particularly, to obtain the gains regarding the time, the executions performed in an automated and manual way were timed. In addition, a research based on interviews was developed to raise the main impacts about the tool usage, such as: acceptance of its use, its relevance, obtaining data/results and even the possible improvements that can be included in the automated process. The results describe the gains in the execution time from the testing process and the reduction of human errors in device preparation, thus adding quality and speed in the device setup process for TSS tests.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117184590","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 Cell Sleep Mechanism Based on Clustering and Load Prediction in Ultra-Dense Networks","authors":"Y. Liu, Dongyao Wang, Xiaobao Sun, Jin-ming Wu","doi":"10.1109/icicse55337.2022.9828890","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828890","url":null,"abstract":"An essential technical means to achieve network expansion in the 5G is to increase the density of small cells, that is, ultra-density network technology. At present, the switch status of cell base stations in ultra-density cells is adaptively adjusted, and cell sleep has become a research hotspot. However, with the rapid rise of the traffic in the network, the load volatility of the cell is also increasing, which is specifically reflected in the variation of the load of the cell with the change of region and time. In view of the high complexity and low energy-saving effect of existing cell sleep technical solutions, this paper proposes a cell sleep mechanism based on clustering and load prediction. The solution first clusters the cells in the current scene, then for the cells in the cluster, the load prediction scheme is used to determine the dormant cells, so as to ensure throughput with lower complexity and achieve the purpose of energy saving. This paper builds a system-level simulation platform for LTE (Long Term Evolution) ultra-density network. The simulation results show that the cell sleep algorithm based on clustering and load prediction can ensure user experience and save energy consumption while expanding the network capacity, thereby providing 5G mobility management and effective technical support for network expansion.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129302178","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}