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2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )最新文献

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Predicting Synergistic Drug Interaction with DNN and GAT 预测协同药物与DNN和GAT的相互作用
2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII ) Pub Date : 2022-07-22 DOI: 10.1109/ICKII55100.2022.9983579
Nichakorn Numcharoenpinij, T. Termsaithong, P. Phunchongharn, Supanida Piyayotai
{"title":"Predicting Synergistic Drug Interaction with DNN and GAT","authors":"Nichakorn Numcharoenpinij, T. Termsaithong, P. Phunchongharn, Supanida Piyayotai","doi":"10.1109/ICKII55100.2022.9983579","DOIUrl":"https://doi.org/10.1109/ICKII55100.2022.9983579","url":null,"abstract":"Many complex diseases such as cancer cannot be effectively treated with one type of medication, giving rise to another treatment route that combines several drugs to achieve the desired effects. We developed deep learning models to predict a parameter that gauges such effects known as synergy score and specifically made use of relevant genetic and drug datasets. The expected outcome enables rapid identification of novel drug pairs with potential use in cancer therapy. The employed genetic datasets included gene expression, copy number variation, and somatic mutation. We applied different variations of autoencoders on these datasets, namely deep autoencoder, sparse autoencoder, and deep sparse autoencoder to reduce the dimensions and only retain what was deemed non-redundant. Alternatively, we filtered the data based on landmark gene names. As for the training drug datasets that contained associated synergy scores calculated empirically, we either used ECFP6 molecular fingerprint representations as an input for a deep neural network (DNN) or a molecular graph for a graph neural network (GNN) model. We set out to compare the performance of these two representations in appropriate deep learning models as well as determine how well each autoencoder method fared. Among different autoencoders, the best performing option was the sparse autoencoder for DNN and the deep autoencoder for GNN. After loading the processed genetic datasets into ECFP6-DNN and graph embedding-GNN model, we found that ECFP6-DNN performed better with a mean square error of 146.137, while graph embedding-GNN had a mean square error of 174.952.","PeriodicalId":352222,"journal":{"name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122547360","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 a Compact Wideband Triangular Slot Antenna for C/X-Band C/ x波段小型宽带三角形缝隙天线设计
2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII ) Pub Date : 2022-07-22 DOI: 10.1109/ICKII55100.2022.9983551
M. Chung, Ing-Peng Meiy
{"title":"Design of a Compact Wideband Triangular Slot Antenna for C/X-Band","authors":"M. Chung, Ing-Peng Meiy","doi":"10.1109/ICKII55100.2022.9983551","DOIUrl":"https://doi.org/10.1109/ICKII55100.2022.9983551","url":null,"abstract":"This paper proposes a compact triangular slot structure antenna design, the antenna covers the C/X frequency band, including ISM (5.725-5.875GHz) and Wifi 6E (5.925-7.125GHz). The designed triangular slot is evolved from the square slot, so the overall size is smaller than the structure of the square slot, and the overall antenna size is 32×32×0.254 mm3. For the reflection coefficient below -10dB, the bandwidth is 57.5% (5.17-9.34GHz), and it has good radiation direction and good antenna gain in the 5.7GHz and 8.8GHz impedance matching frequency bands, making this antenna a C/X-Band frequency band good choice. The antenna is fed by a 50 Ohm SMA connector. The front is a long strip antenna, and the back is a triangular and two small rectangular defect structures to increase the overall bandwidth. The average gain of the antenna in the frequency band is 5.1dBi.","PeriodicalId":352222,"journal":{"name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","volume":"420 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122949368","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
ICKII 2022 Cover Page ICKII 2022封面页
2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII ) Pub Date : 2022-07-22 DOI: 10.1109/ickii55100.2022.9983593
{"title":"ICKII 2022 Cover Page","authors":"","doi":"10.1109/ickii55100.2022.9983593","DOIUrl":"https://doi.org/10.1109/ickii55100.2022.9983593","url":null,"abstract":"","PeriodicalId":352222,"journal":{"name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115906291","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
Effect of ZnO Nanorod Arrays on the Output Performance of Piezoelectric Nanogenerator ZnO纳米棒阵列对压电纳米发电机输出性能的影响
2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII ) Pub Date : 2022-07-22 DOI: 10.1109/ICKII55100.2022.9983586
Min Wu, Wei-Xiang Tong, Jui-Yu Chen, Yu-Chuan Chang, T. Meen
{"title":"Effect of ZnO Nanorod Arrays on the Output Performance of Piezoelectric Nanogenerator","authors":"Min Wu, Wei-Xiang Tong, Jui-Yu Chen, Yu-Chuan Chang, T. Meen","doi":"10.1109/ICKII55100.2022.9983586","DOIUrl":"https://doi.org/10.1109/ICKII55100.2022.9983586","url":null,"abstract":"In this study, ZnO nanorods were prepared by the hydrothermal method with and without ZnO crystal seed layer, and applied on piezoelectric nanogenerator. The results of SEM analysis reveal that the length of ZnO nanorods are 2.82 µm and 7.88 µm with and without ZnO crystal seed layer, respectively. The output performance of the piezoelectric nanogenerator were driven by ultrasonic waves device and measured by I-V characteristics instrument. The highest average current and voltage of nanogenerator were 1.34×10-8 A and 6.20×10-4 V without ZnO crystal seed layer, and were 2.54×10-8 A and 4.08 ×10-3 V with ZnO crystal seed layer, respectively.","PeriodicalId":352222,"journal":{"name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","volume":"2009 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116905474","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
Increasing Transfer Rate of Sunlight Communication System Using 2×2 Switchable CCR Array 利用2×2可切换CCR阵列提高太阳光通信系统的传输速率
2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII ) Pub Date : 2022-07-22 DOI: 10.1109/ICKII55100.2022.9983561
Yu-Wen Chen, En-Ping Chang, Yu-Cheng Chou, Yi-Xuan Wu, Chia-Ling Chang, Guan-Yang Liu, Wei-Ting Chen, Yu-Hsin Wu, K. Lai, Ching-Kai Shen, J. Tsai
{"title":"Increasing Transfer Rate of Sunlight Communication System Using 2×2 Switchable CCR Array","authors":"Yu-Wen Chen, En-Ping Chang, Yu-Cheng Chou, Yi-Xuan Wu, Chia-Ling Chang, Guan-Yang Liu, Wei-Ting Chen, Yu-Hsin Wu, K. Lai, Ching-Kai Shen, J. Tsai","doi":"10.1109/ICKII55100.2022.9983561","DOIUrl":"https://doi.org/10.1109/ICKII55100.2022.9983561","url":null,"abstract":"The transfer rate of a sunlight communication system is improved in this study. The transmitter end includes a 2×2 array of switchable corner cube retroreflectors (CCRs) to increase the transfer rate by at least four times. The fabrication of each CCR involves 3D printing and the making of a PDLC (polymer dispersed liquid crystal) switchable module. The images captured by a high-speed camera at the receiving end are analyzed to recover the data. The transmission distance is currently 72 m, a significant improvement compared to our earlier work (45 m). The transfer rate increases from 7 bits/s to 32 bits/s.","PeriodicalId":352222,"journal":{"name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117248896","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
Intelligent Inspection System for PP bag Production in Mushroom Cultivation 蘑菇栽培PP制袋智能检测系统
2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII ) Pub Date : 2022-07-22 DOI: 10.1109/ICKII55100.2022.9983558
R. Jou, Wu-Jeng Li, H. Shih, Yuan-Kai Hu
{"title":"Intelligent Inspection System for PP bag Production in Mushroom Cultivation","authors":"R. Jou, Wu-Jeng Li, H. Shih, Yuan-Kai Hu","doi":"10.1109/ICKII55100.2022.9983558","DOIUrl":"https://doi.org/10.1109/ICKII55100.2022.9983558","url":null,"abstract":"There are automatic mushroom PP bag production machines on the market for mass production. However, the quality of the output of the machine depends on manual inspection. Thus, we design an automated optical detection and defective product replacement system for PP bags to improve the automation of mushroom cultivation to overcome the increasing shortage of labor. In the system, a camera was set up on the exit conveyor of the PP bag production machine to capture images of 12 PP bags of baskets. A five-layer convolutional neural network was used to identify the status of the 12 PP bag within 0.15 s. If there are PP bags with missing caps, the robotic arm removes the defective PP bags and replaces them with qualified PP bags. In order to make the CNN model applicable to mushroom farms, images of PP bags with four color caps and missing caps were collected. A CNN model was trained with 3072 images and tested with 480 images. The accuracy of the model was 99.58%.","PeriodicalId":352222,"journal":{"name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114174348","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
Analysis and Application of Deep Learning in Novel MEMS Capacitive Pressure Sensor 深度学习在新型MEMS电容式压力传感器中的分析与应用
2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII ) Pub Date : 2022-07-22 DOI: 10.1109/ICKII55100.2022.9983547
B. Chen, Shu-Jung Chen
{"title":"Analysis and Application of Deep Learning in Novel MEMS Capacitive Pressure Sensor","authors":"B. Chen, Shu-Jung Chen","doi":"10.1109/ICKII55100.2022.9983547","DOIUrl":"https://doi.org/10.1109/ICKII55100.2022.9983547","url":null,"abstract":"With the continuous development of MEMS sensor processing and manufacturing technology, MEMS capacitive pressure sensors require computer-aided software to reduce development costs. Therefore, simulation with Comsol Multiphysics and building of a deep learning approach s proposed. To build a highly efficient deep neural network (DNN) model with a sufficient dataset from Comsol simulation for MEMS analysis, various parameters of the manufacturing design are needed to understand the design characteristics of the sensor. The designed capacitive pressure sensor has a three-layer structure with a vacuum layer in the middle, the top, and the bottom electrodes depending on the material. The DNN with four hidden layers and 20 neurons for each layer is proposed to fit the relationship between the four input parameters and two outputs of a capacitive pressure sensor with deep learning. The DNN allows the design parameters and characteristics of the capacitive pressure sensor to be understood with a small data set simulated by Comsol Multiphysics, thus reducing the solution time and improving development efficiency. Using the dataset with data augmentation, the DNN was trained and tested. A set of data set samples is obtained at an average of 40 min. If the trained capacitive pressure sensor model is used for prediction, it only consumes an average of 10 s per set of data, and the prediction error is less than 0.3%. The results show a practical and high efficiency and accuracy of deep learning for prediction on capacitive pressure sensors.","PeriodicalId":352222,"journal":{"name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128128510","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
An Experiment Study and Analysis of Delta Robot Accuracy and Stability Improvement with Impact Testing 利用冲击试验提高Delta机器人精度和稳定性的实验研究与分析
2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII ) Pub Date : 2022-07-22 DOI: 10.1109/ICKII55100.2022.9983575
Ping Liu, Kerwin Wang
{"title":"An Experiment Study and Analysis of Delta Robot Accuracy and Stability Improvement with Impact Testing","authors":"Ping Liu, Kerwin Wang","doi":"10.1109/ICKII55100.2022.9983575","DOIUrl":"https://doi.org/10.1109/ICKII55100.2022.9983575","url":null,"abstract":"Delta robots with parallel manipulators have become perfect industrial assembling and packaging tools. Kinematic stability is critical in the reliable execution of robotic motions. This research emphasizes the practical need for end-effector stability refinement and investigates the tuning needs for a stable motion of Delta robots in practical applications. The influencing factors of motion stability, including asymmetric stiffness, robot motion range, and PID controller parameters, are characterized. Based on the characterization results, a simplified procedure is proposed. A gradient-based control parameter modification achieves stability refinement. These parameters are further tuned based on the experiment results from the impact test. The experiment study and analysis results have validated the proposed procedure.","PeriodicalId":352222,"journal":{"name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124907820","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
Multiple-Beam Two-Dimensional Scanning Apparatus 多波束二维扫描装置
2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII ) Pub Date : 2022-07-22 DOI: 10.1109/ICKII55100.2022.9983605
Guan-Yang Liu, Yen-Cheng Chuo, Y. Tseng, Ching-Kai Shen, J. Tsai
{"title":"Multiple-Beam Two-Dimensional Scanning Apparatus","authors":"Guan-Yang Liu, Yen-Cheng Chuo, Y. Tseng, Ching-Kai Shen, J. Tsai","doi":"10.1109/ICKII55100.2022.9983605","DOIUrl":"https://doi.org/10.1109/ICKII55100.2022.9983605","url":null,"abstract":"A multiple-beam two-dimensional steering apparatus built with two orthogonal one-axis scanning mirror arrays (1 × N) and cylindrical lenses is presented in this study. The merits of this scanning system include (1) low cost, as the support structures are all homemade using fused deposition modeling (FDM) 3D printing, (2) a clever system design, which shows a likeness to a 4-f optical system, and (3) no demand for two-axis mirrors. The maximum angular coverages by a sub-beam in the x and y directions are 4.48° and 3.12°, respectively. This multiple-beam steering apparatus can potentially be used for laser trackers, 3D shape measurement, light detection, and ranging (LiDAR).","PeriodicalId":352222,"journal":{"name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121327708","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
Optimized Allocation of Distribution Automation Terminals based on Power Supply Reliability 基于供电可靠性的配电自动化终端优化配置
2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII ) Pub Date : 2022-07-22 DOI: 10.1109/ICKII55100.2022.9983565
Mengke Liao, Xiaomin Xing, Xinhui Cao, Yuting Dong, Honglian Zhou
{"title":"Optimized Allocation of Distribution Automation Terminals based on Power Supply Reliability","authors":"Mengke Liao, Xiaomin Xing, Xinhui Cao, Yuting Dong, Honglian Zhou","doi":"10.1109/ICKII55100.2022.9983565","DOIUrl":"https://doi.org/10.1109/ICKII55100.2022.9983565","url":null,"abstract":"With the continuous improvement of power grid technology in China, the operation state stability of the distribution network has attracted more attention. The rational configuration of the distribution terminal is especially important. At present, the development of the distribution technology of automation terminals is rapid, but research on the optimal configuration of the terminals is still relatively scarce. In order to improve the reliability of power supply and reduce the investment in equipment, the optimal allocation of automation terminals has become an urgent problem to be solved. Therefore, an improved fault mode and consequence analysis method is proposed to calculate the power supply reliability of the distribution network with the genetic algorithm that allows the optimal configuration scheme of the economic optimization model of the distribution network’s reliability. Finally, by comparing different configuration schemes, the feasibility of the optimization scheme is verified, as it has significance for the optimal configuration of distribution terminals.","PeriodicalId":352222,"journal":{"name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114242536","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
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