2022 3rd Information Communication Technologies Conference (ICTC)最新文献_第5页

Blind Interference Alignment Scheme for Dynamic TDD Systems 动态TDD系统的盲干涉对准方案

2022 3rd Information Communication Technologies Conference (ICTC) Pub Date : 2022-05-06 DOI: 10.1109/ictc55111.2022.9778505

Yuanhao Chen, Liang Wu, Zaichen Zhang, J. Dang, Bingcheng Zhu, Lei Wang

引用次数: 1

Research on Smart Home System Based on STM32 基于STM32的智能家居系统研究

2022 3rd Information Communication Technologies Conference (ICTC) Pub Date : 2022-05-06 DOI: 10.1109/ictc55111.2022.9778723

Pei-gui Liu, Chi Xiao, Junhan He, Yan Wang

{"title":"Research on Smart Home System Based on STM32","authors":"Pei-gui Liu, Chi Xiao, Junhan He, Yan Wang","doi":"10.1109/ictc55111.2022.9778723","DOIUrl":"https://doi.org/10.1109/ictc55111.2022.9778723","url":null,"abstract":"With the continuous development of science and technology and economy, people’s living standards are constantly improving, which makes the research and development of intelligent equipment attract much attention. Taking smart home as the research object, this paper designs a remote network home system based on Android platform control and voice control through the combination of software and hardware. The system is composed of STM32 single chip microcomputer and each module. It designs and realizes three functions: outdoor rainfall monitoring function, indoor fire monitoring and alarm function and indoor light intensity monitoring function. The environmental information collected by each sensor is transmitted to the STM32 main control chip, which responds and judges and sends at commands to each module, such as stepper motor module, buzzer module, display screen, etc. At the same time, it is connected with the mobile app through the Bluetooth module to realize the functions of real-time monitoring and remote control. At the same time, the sound control module will intelligently identify the control command and transmit the identified command to the main control chip, so as to realize the sound control function.","PeriodicalId":123022,"journal":{"name":"2022 3rd Information Communication Technologies Conference (ICTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128928607","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: 1

Design of an Active Dual-Controlled Broadband Absorber in the Terahertz Range 太赫兹有源双控宽带吸收器的设计

2022 3rd Information Communication Technologies Conference (ICTC) Pub Date : 2022-05-06 DOI: 10.1109/ictc55111.2022.9778674

Yixuan Gao, Ye Cheng

引用次数: 0

Research on Laser Polarization Image Reconstruction Based on Wavelet Transform and Deep Learning 基于小波变换和深度学习的激光偏振图像重建研究

2022 3rd Information Communication Technologies Conference (ICTC) Pub Date : 2022-05-06 DOI: 10.1109/ictc55111.2022.9778706

Peipei Zhang, Xi Zhang

{"title":"Research on Laser Polarization Image Reconstruction Based on Wavelet Transform and Deep Learning","authors":"Peipei Zhang, Xi Zhang","doi":"10.1109/ictc55111.2022.9778706","DOIUrl":"https://doi.org/10.1109/ictc55111.2022.9778706","url":null,"abstract":"The traditional laser polarization image recoustruction method is affected by environmental noise, resalting in poor image reconstruction effect. For this reason, a wavelet transform and deep learning laser polarization image recoustruction method is designed. The convolutional neural network is ased to denoise the image, the wavelet transform method is ased to ertract the image terture featares, and the overall nested network edge detection method in deep learning is introdaced to detect the edge. In addition, the featare fasion modale in the wavelet transform is ased for processing, adding Multiscale Dilated Dense Block MDDB, Erperimental Laser Polarization Image Reconstruction. The erperimental comparison resalts show that the method proposed in this paper can accurately identify the target in the image, malse foll ase of the activation function in it to learn and identify the image featares, effectively prevent the loss of important information in the image feature learning and identification. This method significantly improves the quality of reconstructed images and achieves better visual effects.","PeriodicalId":123022,"journal":{"name":"2022 3rd Information Communication Technologies Conference (ICTC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121286337","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

Artificial Rich Scattering-Assisted MIMO Systems Using Passive Backscatter Devices 利用无源后向散射装置的人工丰富散射辅助MIMO系统

2022 3rd Information Communication Technologies Conference (ICTC) Pub Date : 2022-05-06 DOI: 10.1109/ictc55111.2022.9778563

A. Al-nahari, R. Jäntti, Muhammad Usman Sheikh

{"title":"Artificial Rich Scattering-Assisted MIMO Systems Using Passive Backscatter Devices","authors":"A. Al-nahari, R. Jäntti, Muhammad Usman Sheikh","doi":"10.1109/ictc55111.2022.9778563","DOIUrl":"https://doi.org/10.1109/ictc55111.2022.9778563","url":null,"abstract":"Reconfigurable intelligent surfaces (RIS) are emerging as a promising technology for the future 6G networks. One of the challenges of IRS systems is that they require feedback control which in turn means that they have to have receiver and microcontroller that consume power. In this paper, we propose to use passive chipless backscatter devices to shape the channel between the transmitter and the receiver. We propose a novel artificial rich scattering (ARS)-assisted MIMO system, that uses passive chipless backscatter devices to shape the channel covariance matrix by increasing its rank even if the direct transmission channel has strong line-of-sight (LoS) component. In particular, we conduct a large system analysis and show that the achievable rate is independent of the phase shift matrix at the backscattering nodes. Moreover, by introducing large number of passive scattering elements in the system, we can improve the system capacity even with the presence of strong LoS component in MIMO channel. We also consider the case of ARS-assisted MISO case when the channel state information (CSI) is available at the transmitter side and derive tight lower bound on the ergodic rate.","PeriodicalId":123022,"journal":{"name":"2022 3rd Information Communication Technologies Conference (ICTC)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123239229","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: 1

Stock Trend Prediction Based on ARIMA-LightGBM Hybrid Model 基于ARIMA-LightGBM混合模型的股票走势预测

2022 3rd Information Communication Technologies Conference (ICTC) Pub Date : 2022-05-06 DOI: 10.1109/ictc55111.2022.9778304

Xiuyan Zheng, Jiajing Cai, Guangfu Zhang

{"title":"Stock Trend Prediction Based on ARIMA-LightGBM Hybrid Model","authors":"Xiuyan Zheng, Jiajing Cai, Guangfu Zhang","doi":"10.1109/ictc55111.2022.9778304","DOIUrl":"https://doi.org/10.1109/ictc55111.2022.9778304","url":null,"abstract":"As an important part of capital market, stock market is playing an increasingly important role in social and economic development. Stock trend prediction model research has been a popular topic of study among specialists and academics in the fields of economic finance and data analysis. In this paper, Gree Electric Appliance stock is selected as the research object. When the training set and test set are determined, the ARIMA model and LightGBM model, which are commonly used for forecasting, are used to predict the trend of the stock respectively, and then the benefits and drawbacks of these two models in stock trend prediction are analyzed and summarized. On this basis, we propose the ARIMA-LightGBM hybrid model to predict the stock change trend of Gree Electric Appliances stock in six months. In the proposed hybrid model, The ARIMA model was used for the six-month prediction of exogenous variables. Secondly, the LightGBM model is used to model the exogenous variables predicted by the ARIMA model to obtain the predicted stock trend in the next six months. By comparing with the actual Gree Electric Appliances stock price trend, the results show that the prediction accuracy of the proposed ARIMA-LightGBM hybrid model is better than that of the LightGBM model. At the end of the paper, we also put forward some valuable investment strategies based on the forecast results.","PeriodicalId":123022,"journal":{"name":"2022 3rd Information Communication Technologies Conference (ICTC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123531418","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: 3

The Design and Construction of Load Balancing Architecture Based on KNTML 基于KNTML的负载均衡体系结构的设计与构建

2022 3rd Information Communication Technologies Conference (ICTC) Pub Date : 2022-05-06 DOI: 10.1109/ictc55111.2022.9778419

Yunman Fan, Yusheng Yang, Feng Zhu, Quan He, An Fang

引用次数: 0

A Multi-dimensional Resource Allocation Algorithm Based on Task Splitting and Adjustment in Satellite Networks 卫星网络中基于任务分割与调整的多维资源分配算法

2022 3rd Information Communication Technologies Conference (ICTC) Pub Date : 2022-05-06 DOI: 10.1109/ictc55111.2022.9778755

Qu Hua, Wang Hongqiang, Z. Jihong, Yu Yongyue

{"title":"A Multi-dimensional Resource Allocation Algorithm Based on Task Splitting and Adjustment in Satellite Networks","authors":"Qu Hua, Wang Hongqiang, Z. Jihong, Yu Yongyue","doi":"10.1109/ictc55111.2022.9778755","DOIUrl":"https://doi.org/10.1109/ictc55111.2022.9778755","url":null,"abstract":"Currently, most resource allocation algorithms in satellite networks only focus on single resource allocation scenarios. But there are many kinds of resources in the actual satellite network, and these resources restrict each other. In addition, most satellite network systems treat the services requested by users as an independent and indivisible task. However, the duration of the task is different and satellites have time windows to execute tasks, as well as multiple resource constraints. With the increase of tasks, the number of tasks that the satellite network system can complete and the resources utilization will be limited. For the above problems, this paper proposes a multi-dimensional resource allocation algorithm based on task splitting and adjustment, including task splitting algorithm (TSA) and dynamic task adjustment algorithm (DTAA). First, build a model that takes task completion rate, resource utilization and distriction window utilization as the optimization targets in a single distriction window, and solve the problem of lower resource utilization by splitting the last task that cannot be executed in the distriction window. Then, build a dynamic task adjustment model among multiple distriction windows, and solve the conflict problem of task execution through the original window task adjustment or the new window task adjustment strategy. Finally, compare the algorithm with the existing decoupled resource algorithm (DRA) and improved greedy algorithm (IGA), and verify its gains in the number of tasks completed, resource utilization and distriction window utilization through simulation experiments.","PeriodicalId":123022,"journal":{"name":"2022 3rd Information Communication Technologies Conference (ICTC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121758457","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