{"title":"Low Complexity MIMO Modulation Classification via Distribution Test Ensembles","authors":"Zikang Gao, Lingiun Zhu, Zhechen Zhu","doi":"10.1109/ICCC47050.2019.9064103","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064103","url":null,"abstract":"Modulation classification in MIMO systems needs to overcome its complexity demand to be viable in a real world environment. The number of mathematics operations required by the state-of-the-art maximum likelihood classifier grows exponentially with the number of transmitting antennas and the orders of candidate modulations. In this paper, we propose a low complexity MIMO system modulation classifier by combining multiple magnitude-based distribution tests using a simple Multi-layer perceptron. The resulting solution provides good classification performance in AWGN channel while outperforming the maximum likelihood classifier in fading channels. Moreover, its computational complexity is much lower and does not scale with the number of transmitting antennas or the orders of candidate modulations.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"21 1","pages":"1548-1553"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79150561","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}
Xinyu Sun, Li Tong, Xie Kai, Yanxiong Sun, Li Ting
{"title":"Color Constancy Algorithms for Multi-source Non-uniform Scenes Based on Local Estimation","authors":"Xinyu Sun, Li Tong, Xie Kai, Yanxiong Sun, Li Ting","doi":"10.1109/ICCC47050.2019.9064461","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064461","url":null,"abstract":"This paper presents a color constancy solution for multi-source non-uniform scenes. Firstly, the image partitioning strategy based on Tk-means is used to realize the conversion of multi-light source non-uniform scene to single source uniform scene. A single source color estimate is then performed on the local scene using the BP neural network algorithm. Aiming at the characteristics of multi-light source non-uniform scene, it is proposed to use FF attention mechanism to estimate the weight of the light source color estimated by each local scene, and obtain a composite light source as an approximate estimation of the scene light source. Finally, the paper reconstructs the image through the diagonal model. The experimental results show that the proposed strategy can solve the color constancy problem of multi-source non-uniform scenes.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"27 1","pages":"209-213"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79594513","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":"DSA-NIE: Double Static Attributes Based Node Importance Evaluation of Inter-Domain Routing System","authors":"Huihu Zhu, Han Qiu, Junhu Zhu, Qingxian Wang","doi":"10.1109/ICCC47050.2019.9064462","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064462","url":null,"abstract":"Assessing the importance of AS nodes is important for the protection of inter-domain routing system security. However, the existing literature on node importance evaluation methods based on static attributes are difficult to accurately characterize nodes. And which based on dynamic attributes have high time complexity. To address these problems, we analyze the relationship between static structural attributes and dynamic attributes after node failure. It is found that the degree can indirectly reflect the impact of the UPDATE packet propagation and the number of routing paths can reflect the impact caused by load redistribution. And then, we build static attribute characterization model of node failure effect. After that an evaluation method DSA-NIE is put forward. Given the two static attributes, DSA-NIE could effectively assessment of the importance of nodes. When compared with SD-KNI algorithm, the time complexity has been reduced to O(lmn). And the experiment result shows that the failure effect of the key nodes assessed by the DSA-NIE is 7.4% higher than the average, and up to 12.9% higher.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"70 1","pages":"355-359"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79930633","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":"Throughput Optimization of Blocked Data Transmission: A Mobile-Relay-UAV-Assisted Approach","authors":"Xinsheng Liu, Jiansong Miao, Pengjie Wang","doi":"10.1109/ICCC47050.2019.9064465","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064465","url":null,"abstract":"Compared with conventional static relaying techniques, mobile relaying offers new degree of freedom (DoA) for the performance improvement in dynamic communication environment. An unmanned aerial vehicle (UAV) system with mobile signal source that utilizes mobile relaying technique is considered first. A novel suboptimal iterative algorithm is proposed to improve the throughput of UAV relay systems by optimizing the trajectory of the relay. Simulation results show that the proposed algorithm significantly outperforms the static relaying and converges faster than the existing algorithms.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"35 1","pages":"792-796"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73332297","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 Technology Related to Intelligent Producing of Globe Based on User Customization","authors":"Jun Ma, Pengfei Dang, Wenzhen Qin, Liang Yu","doi":"10.1109/ICCC47050.2019.9064181","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064181","url":null,"abstract":"Not only the producing technique and the function of the globe has changed with the changing of the users’ requirement and the artificial intelligence’s permeating, but also the requirement of the users’ for the globe is different and complex. For this situation, this article has brought forward the intelligent globe producing technique basing on the user customization, expounded the producing flow, and testified this technique having the excellence of customizing easily, making fast, low cost, high satisfaction and some intelligent assistant deciding ability by the experiment basing on analyzing the two key factors of the globe producing technique and the advantage and disadvantage.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"89 1","pages":"2176-2180"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86965208","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":"Max-Min Resource Allocation for Wireless Power Transfer Enabled Massive MIMO Systems","authors":"Kunhao Huang, Zheng-qiang Wang, Xiaoyu Wan, Zi-fu Fan, Yongjun Xu","doi":"10.1109/ICCC47050.2019.9064297","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064297","url":null,"abstract":"This paper investigates the resource allocation algorithm to maximize the minimum user's rate in wireless power transfer (WPT) enabled massive multiple input multiple output (MIMO) systems. In the proposed system, a power beacon (PB) with multiple antennas transmits energy to the sensor node (SN) by WPT, and the SN transmits all the received energy to the base station (BS) with harvest-then-transmit protocol. A closed-form power allocation and optimal time allocation algorithm based on the bisection method is proposed to maximize the system's minimum user's rate. Simulation results show the efficiency of the proposed algorithm in term of minimum user's rate and energy efficiency.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"42 1","pages":"889-893"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86026582","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}
Wenxiang Yang, Zhigong Yang, Yongguo Zhou, F. Wang, Cheng Chen, Yueqing Wang
{"title":"A Comprehensive Analysis of User Job Data on a Petascale Supercomputer Dedicated to CFD","authors":"Wenxiang Yang, Zhigong Yang, Yongguo Zhou, F. Wang, Cheng Chen, Yueqing Wang","doi":"10.1109/ICCC47050.2019.9064094","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064094","url":null,"abstract":"High performance computing (HPC) systems play a crucial role in performing large-scale scientific applications and their efficiencies are imperative to be improved. This paper aims to comprehensively understand job characteristics and the factors that affect system efficiency and performance, which lays a solid foundation for proposing and evaluating job scheduling and resource management methods. To achieve this goal, we collect job data covering two years from a petascale HPC system that is dedicated to computational fluid dynamics (CFD) applications. Furthermore, a detailed analysis about failed jobs and waiting time is conducted based on the dataset. Our analysis excavates some important characteristics of submitted jobs, which can not only help system owners understand and master the situation about CFD applications in the system, but also provide good guidance and ideas for optimizing job scheduling and resource management algorithms.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"6 1","pages":"86-91"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90935373","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":"Load Forecasting for City Cloud NSSA System Structure","authors":"Jing Chang, Dong Liu","doi":"10.1109/ICCC47050.2019.9064105","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064105","url":null,"abstract":"Substantial progress has been achieved in improving the accuracy and speed of load forecasting for city cloud network security situation awareness (NSSA) system structure. In this paper, the radial basis function (RBF) neural network for awareness was optimized by using the alternating gradient algorithm, so as to forecast the load for city cloud NSSA. The modified simulation algorithm based on experimental data was powerful in load forecasting for city cloud NSSA. Compared with the conventional gradient algorithm for network awareness, the modified algorithm featured faster convergence speed and higher load forecasting accuracy.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"3 1","pages":"2024-2028"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88854979","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":"Predicting Remaining Useful Life Using Continuous Wavelet Transform Integrated Discrete Teager Energy Operator with Degradation Model","authors":"Yuhuang Zheng","doi":"10.1109/ICCC47050.2019.9064232","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064232","url":null,"abstract":"Prognostics health management (PHM) for rotating machinery has become an important process for increasing reliability and reducing machine malfunctions in industry. Bearings are one of the most important equipment parts and are also one of the most common failure points. To assess the degradation of a machine, this paper presents a bearing remaining useful life (RUL) prediction method. The method relies on a novel health indicator and an exponential degradation model to predict bearing RUL. The health indicator is extracted by using a continuous wavelet transform spectrogram integrated discrete Teager energy operator to process horizontal vibration signals obtained from bearings. We present an exponential degradation model to estimate RUL using this health indicator. In the training phase, the degradation detection threshold and the failure threshold of this model are estimated by kernel density estimation of 100 bootstrapped samples. These bootstrapped samples are taken from the six training sets. In the test phase, the health indicator and the model are used to estimate the bearing’s current health state and predict the RUL. This method is suitable for evaluating the degradation of bearings. The experimental results show that this method can effectively monitor bearing degradation and predict the RUL.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"61 1","pages":"240-244"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81452068","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 Prosodic Phrase Prediction Based on Shallow Semantic Features","authors":"Mao Ning","doi":"10.1109/ICCC47050.2019.9064230","DOIUrl":"https://doi.org/10.1109/ICCC47050.2019.9064230","url":null,"abstract":"Syntactic structure features can improve the performance of prosodic phrase prediction. But only using the syntactic structure features, the performance of the algorithm is worse than the traditional text features. In this paper, we use the statistical machine learning method (CART, Adaboost and CRF) for prosodic phrase prediction based on the shallow semantic features. Experiments show that the shallow semantic features can effectively improve the performance of prosodic prediction model. And we also optimized the features, and divided them into the global and local semantic structures. The optimized experiments show that the optimized features can improve the performance of the model.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"46 1","pages":"245-250"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81634562","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}