{"title":"Detection of Weak Small Image Target Based on Brain-Computer Interface","authors":"Fengyu Xie, Hui Shen, Yang Yu, Zeqi Ye, D. Hu","doi":"10.1109/ICET51757.2021.9451162","DOIUrl":"https://doi.org/10.1109/ICET51757.2021.9451162","url":null,"abstract":"The paper proposes an innovative frame for enhanced detection of targets in images based on EEG. In this study, we have achieved the process of long-term EEG signal in single trial. We have designed the experimental paradigms and performed the experiment on 12 subjects. We analyzed the EEG signals by extracting dynamic features. We determined the target detection according to single-trial EEG, simultaneously the target position by eye movement signals. The results proved that the method we adopted is significantly useful and reached satisfactory accuracy. Furthermore, the research can be used as a supplementary means for target detection of machine learning. By the fusion of human experience and intelligence, this work breaks through some bottlenecks of traditional target detection, such as the detection of uncertain targets, small targets, severely distorted targets and incomplete targets. It can significantly improve the detection rate of image information and compatible migration capability.","PeriodicalId":316980,"journal":{"name":"2021 IEEE 4th International Conference on Electronics Technology (ICET)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127269609","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":"Q-learning Based Intelligent Ant Colony Scheduling Algorithm in Heterogeneous System","authors":"N. Li, Bo Gao, Zongfu Xie, Fengyin Zhang, Ji Wan","doi":"10.1109/ICET51757.2021.9451002","DOIUrl":"https://doi.org/10.1109/ICET51757.2021.9451002","url":null,"abstract":"In view of the variable task structure and complex scheduling environment of heterogeneous computing system, and the low efficiency of existing scheduling algorithms, this paper abstracts the system by establishing a directed acyclic graph and a target system model, and proposes a Q-learning based intelligent ant colony scheduling algorithm. The algorithm adapts the scene to the scheduling environment, dynamically calculates the Q matrix according to the reward function, and the Q matrix is used as the initial pheromone of the ant colony algorithm. According to the pseudo-random proportional rule to select the processor, and the scheduling list is formed by the constraint relationship between the components to complete the task allocation. Analysis by randomly generating task graphs shows that this algorithm is more suitable for heterogeneous computing systems and computationally intensive tasks. Compared with ACO、 QMTS and GA algorithms, this algorithm reduces the scheduling lengths by average of 35.22%、 27.41% and 20.41% respectively, can obtain better scheduling results.","PeriodicalId":316980,"journal":{"name":"2021 IEEE 4th International Conference on Electronics Technology (ICET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126429206","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}
Si Li, Ruiheng Zhang, Zhiming Yi, Yafei Ding, Eugene Ren, Guangli Yang
{"title":"A Hybrid Beamforming-Based Transceiver with Antenna in Package for Millimeter-Wave Small Cell","authors":"Si Li, Ruiheng Zhang, Zhiming Yi, Yafei Ding, Eugene Ren, Guangli Yang","doi":"10.1109/ICET51757.2021.9451050","DOIUrl":"https://doi.org/10.1109/ICET51757.2021.9451050","url":null,"abstract":"A millimeter-wave hybrid beamforming-based (HBF) transceiver designed for small cell has been presented in this paper. A large-scale array for massive MIMO is divided into several subarrays. Every subarray has 16 active elements and adopts analog beamforming to save the number of digital processing channels. A dual-polarized antenna in package (AiP) architecture is constructed to implement each subarray, which operates from 23.2 to 28.3 GHz in vertical polarization and from 23.4 to 27.5 GHz in horizontally polarization. By using multiple AiP subarrays, the transceiver has a maximum transmit linear power more than 33 dBm and a receive sensitivity of -76 dBm. The proposed transceiver can meet the need of small cell well and achieve miniaturization, large capacity and high-data rate.","PeriodicalId":316980,"journal":{"name":"2021 IEEE 4th International Conference on Electronics Technology (ICET)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123756045","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}
Ying Jing, L. Xia, Shengyang Lv, Yupeng Liu, Jinye
{"title":"A V-Band Diode-Based Analog Predistortion Linearizer for Traveling Wave Tube Amplifiers","authors":"Ying Jing, L. Xia, Shengyang Lv, Yupeng Liu, Jinye","doi":"10.1109/ICET51757.2021.9451154","DOIUrl":"https://doi.org/10.1109/ICET51757.2021.9451154","url":null,"abstract":"This paper presents an analog predistortion (APD) linearizer suitable for V-band traveling wave tube power amplifier. A new “field-circuit combination” design method based on the Schottky barrier diode (SBD) three-dimensional electromagnetic simulation model (3D EM Model) is used. A reflection type APD linearizer consisting of a 90° waveguide 3dB hybrid and two SBDs is developed and tested. The actual measurement results show that within the input power range of- 25$sim$10dBm, the gain expansion is more than 7. 8dB and the phase expansion is over 28° in the frequency band 59.1$sim$61.1GHz.","PeriodicalId":316980,"journal":{"name":"2021 IEEE 4th International Conference on Electronics Technology (ICET)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123767447","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}
Yangyang Xue, Kai Liu, Longjie Wang, Yu Zhang, Yuzhi Zheng, Zhiruo Chen, Jia Hu, X. Wang
{"title":"Gate Driver Circuit for a 15-inch AMOLED Display with Narrow Border","authors":"Yangyang Xue, Kai Liu, Longjie Wang, Yu Zhang, Yuzhi Zheng, Zhiruo Chen, Jia Hu, X. Wang","doi":"10.1109/ICET51757.2021.9451041","DOIUrl":"https://doi.org/10.1109/ICET51757.2021.9451041","url":null,"abstract":"Top-gate thin-film transistors (TFTs) has been proposed and introduced to fabricate active-matrix organic light-emitting diode (AMOLED) displays with large size and high resolution. The electrical characteristics, uniformity and photostability of the top-gate TFTs have been studied systematically. Experimental results show that the Ion/Ioff ratio reaches 107, indicating good switching characteristic. Meanwhile, the threshold voltage (Vth) over the whole AMOLED display changes from -0.5V to 0.7V, demonstrating good uniformity TFT process. A novel circuit design technology for gate driver on array (GOA) circuits integrating with top-gate TFTs has been proposed. In contrast to traditional GOA circuit, each GOA stage proposed in the work can export two shift register pulses. By using this technology, narrow border in AMOLED display can be obtained. The performance and the stabilization of GOA circuit has been systematically studied. Finally, this GOA circuit is placed in a 15-inch AMOLED display to testify the function.","PeriodicalId":316980,"journal":{"name":"2021 IEEE 4th International Conference on Electronics Technology (ICET)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121792782","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 Tunable Wrinkled Ground Patch Antenna Design","authors":"Yuting Wu, Zhouyi Wu, Lusong Wei, Zhiyi Tang, Zhao Jiang, J. Huangfu","doi":"10.1109/ICET51757.2021.9451153","DOIUrl":"https://doi.org/10.1109/ICET51757.2021.9451153","url":null,"abstract":"This paper presents a tunable patch antenna, which is composed of a metal patch lying over a wrinkled ground plane with sub-wavelength periodically distributed metal pins. By adjusting the height of these pins, the effective permittivity and matching state in the resonant radiation structure are changed, then the operating frequency and phase of antenna can be affected. To evaluate the method, a patch antenna and $2times 2$ antenna array working around 2.2 GHz to 3.35 GHz are designed. The variation of operating frequency and the adjustment of 25° beam direction change can be achieved by adjusting the height of the pins below patches. This method provides a new way to adjust the frequency and phase of the planar antenna, then it has application potential in flat phased array antenna and scanning antenna.","PeriodicalId":316980,"journal":{"name":"2021 IEEE 4th International Conference on Electronics Technology (ICET)","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123160729","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":"Radar Target Recognition Based on Micro-Doppler Signatures Using Recurrent Neural Network","authors":"Tao Tang, Cai Wang, M. Gao","doi":"10.1109/ICET51757.2021.9450934","DOIUrl":"https://doi.org/10.1109/ICET51757.2021.9450934","url":null,"abstract":"The micro-Doppler effect focuses on describing the detailed characteristics of moving targets and also plays a key role in the field of radar target recognition. In this paper, recurrent neural network (RNN) is used to classify the micro-Doppler signatures of different targets. RNN models are sensitive to temporal signals and thus can learn the necessary temporal dependence of the micro-Doppler signatures. This paper first constructs two-dimensional time-frequency distribution matrices by using short-time Fourier transformation (STFT). Then four types of RNN model are used in radar target classification, including standard RNN, long short-term memory (LSTM), attention-based RNN and attention-based LSTM. Experimental results based on L-band radar measured data show that those RNN models can capture the underlying features of micro-Doppler signatures and have good performance in the target classification experiments.","PeriodicalId":316980,"journal":{"name":"2021 IEEE 4th International Conference on Electronics Technology (ICET)","volume":"76 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131286096","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":"Semantic Segmentation of Substation Scenes Using Attention-Based Model","authors":"Qian Chen, Chang-Hua Zhang, Hao Li, Naijia Wan, Donghui Wang, Bin Xu","doi":"10.1109/ICET51757.2021.9451012","DOIUrl":"https://doi.org/10.1109/ICET51757.2021.9451012","url":null,"abstract":"Inspection robots are widely used in transformer substation for inspection tasks. In order to complete the task, the robots need to understand and recognize road scenes. However, the transformer substation contains lots of similar and small equipment, which are difficult to recognize. To address this problem, we propose a semantic segmentation model to recognize road scenes. Specifically, our proposed model discriminates the equipment by leveraging multi-view method. We use attention mechanism to strengthen the relationship between pixels that belong to an individual category. Compared with previous methods, our approach achieves a good performance in a new dataset from a transformer substation and shows robustness in recognizing equipment of transformer substation.","PeriodicalId":316980,"journal":{"name":"2021 IEEE 4th International Conference on Electronics Technology (ICET)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125656415","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}
Yao Zhang, Dunge Liu, Z. Xia, Tao Zhang, Zhilong Zhao, Yuhua Guo, Xin Liu, Yuqian Yang, Kejia Zhang, Huifeng Shi
{"title":"Long-Time Coherent Integration Algorithm for Sea Surface Maneuvering Small Target Based on Dynamic Programming","authors":"Yao Zhang, Dunge Liu, Z. Xia, Tao Zhang, Zhilong Zhao, Yuhua Guo, Xin Liu, Yuqian Yang, Kejia Zhang, Huifeng Shi","doi":"10.1109/ICET51757.2021.9451029","DOIUrl":"https://doi.org/10.1109/ICET51757.2021.9451029","url":null,"abstract":"Detection of sea surface maneuvering small target has long been faced with the problems of strong sea clutter background and low signal-clutter-noise ratio (SCNR), the long-time coherent integration algorithm can effectively improve the SCNR. A long-time coherent integration algorithm is proposed in this paper to process the echo signals of sea surface strongly maneuvering targets with both range and Doppler frequency migration. By using the idea of stage optimization, this algorithm can compensate the range and Doppler frequency migration at the same time, efficiently accumulate the target energy along the trajectory of the target, and effectively improve the SCNR of the target. In addition, this algorithm can also achieve the precise tracking of the target speed and position during the accumulation process, and is suitable for any maneuvering mode. The actual data processing and analysis show that this algorithm can realize the effective accumulation of maneuvering targets with low SCNR, and the accumulation gain is improved by more than 6dB compared with existing methods.","PeriodicalId":316980,"journal":{"name":"2021 IEEE 4th International Conference on Electronics Technology (ICET)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131814401","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 10-bit 0.64 to 1.27-mW 20-MS/s Hybrid Dgital-to-Analog Converter with a Power Control Logic","authors":"Qinjin Huang, Fengqi Yu","doi":"10.1109/ICET51757.2021.9450966","DOIUrl":"https://doi.org/10.1109/ICET51757.2021.9450966","url":null,"abstract":"For medical implantable devices, power consumption is the most important design factor to be considered. In order to achieve low power consumption with medium data rate and resolution, this paper proposes a resistor-string and current-steering hybrid digital-to-analog converter (R-I DAC) with a power control logic. This R-I DAC adopts a resistor-string sub-DAC as the least-significant-bits (LSBs), and uses a current-steering sub-DAC as the most-significant-bits (MSBs). The current-steering sub-DAC is controlled by a power control logic to improve the power efficiency. The power control logic is to shut off the current through the source transistor if the output voltage is low. Before the output voltage changes from low to high, the current is turned on ahead of approximate one clock circle. The power reduction percentage of R-I DAC depends on the output, e.g. it reduces 27.7% for output all 0’s and 6% for a sine wave output. The proposed 10-bit R-I DAC shows faster speed than resistor or capacitor based DACs with sub-1mW power consumption. The rise time is measured, which is 50ns. The measured DNL/INL without calibration is 0.8/1.5 LSB. The static power consumption of lowest and highest voltage output are 0.64 mW and 0. S6mW, respectively. The total power consumption is 1.27 mW when the input is 1 MHz sine wave with 20 MS/s sampling rate.","PeriodicalId":316980,"journal":{"name":"2021 IEEE 4th International Conference on Electronics Technology (ICET)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131892488","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}