2022 8th International Conference on Applied System Innovation (ICASI)最新文献

Estimation of Photovoltaic Power Generation by Using Deep Learning-based Method 基于深度学习的光伏发电估算方法

2022 8th International Conference on Applied System Innovation (ICASI) Pub Date : 2022-04-22 DOI: 10.1109/ICASI55125.2022.9774482

Yu-Jen Liu, Cheng-Yu Lee, Po-Yu Hou, Pei-Hao Sun

{"title":"Estimation of Photovoltaic Power Generation by Using Deep Learning-based Method","authors":"Yu-Jen Liu, Cheng-Yu Lee, Po-Yu Hou, Pei-Hao Sun","doi":"10.1109/ICASI55125.2022.9774482","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774482","url":null,"abstract":"It is important to predict the power output of distributed energy resources (DERs) like solar photovoltaic (PV) so as to prevent the power variation impact to power systems. In this paper, the techniques of using weather graphs have been introduced for the estimation of PV power generation. First, traditional Heliosat method is introduced. Secondly, a cloud-type method based on several cloud groups classified by different cloud top altitudes and rainfall intensities is presented and integrates with look-up-table mechanism to determine the PV power generation. Finally, this paper further proposed a deep learning-based method for overcoming the limitations of using above-mentioned methods. In proposed method, not only BILSTM neuron network but also a time mark technique are considered. To validate the performance of proposed method, Experiments based on the PV power generation data collected from a real PV site are included. Analysis results show nRMSE of cloud-type method is 16.83%, which is not better than Heliosat method of nRMSE 6.61%. On the contrary, the nRMSE of 4.67% is obtained from proposed deep learning method that presents the excellent performance among all methods.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115641290","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 Innovative Method to Monitor and Control an Injection Molding Process Condition using Artificial Intelligence based Edge Computing System 一种利用人工智能边缘计算系统监测和控制注塑过程状态的创新方法

2022 8th International Conference on Applied System Innovation (ICASI) Pub Date : 2022-04-22 DOI: 10.1109/ICASI55125.2022.9774445

S. Chen, Jibin Jose Mathew, Ching-Te Feng, Tzu-Jeng Hsu

{"title":"An Innovative Method to Monitor and Control an Injection Molding Process Condition using Artificial Intelligence based Edge Computing System","authors":"S. Chen, Jibin Jose Mathew, Ching-Te Feng, Tzu-Jeng Hsu","doi":"10.1109/ICASI55125.2022.9774445","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774445","url":null,"abstract":"High precision injection molding process is in high demand among the polymer industrialist to maintain a sustainable and consistent production of the plastic product parts, and it is hard to estimate and judge the early detection of the defective product parts from the machine parameter and processing condition. However, the real-time variation in the process condition is reflected in the polymer melt flow pressure and temperature variation, and in the specific volume of the product part built in the mold cavity. Accordingly, in this objective, this paper proposed a cost-effective, embedded edge computing system using temperature and pressure sensors interfaced with Arduino Mega and ESP 32D for both real-time monitoring, and a data acquisition unit to train and develop an artificial model (AI). Thereby, an AI model with low mean absolute error and root mean squared error is developed using TensorFlow Lite Micro and loaded into the edge device to detect the variation and predict the specific volume of the molded product part in real-time from the obtained pressure and temperature sensor data. The experimental study reveals that the proposed approach has a lot of potential for practical applications in an industrial process to analyze and predict an insight in advance and for the successful implementation of smart sensor application, intelligent manufacturing constituting Industry 4.0.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128015345","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

Dynamic Simulation and Control of a Semi-submersible Floating Offshore Wind Turbine with a Direct-Driving Permanent Magnetic Synchronized Generator 永磁同步发电机半潜式海上浮式风力机的动态仿真与控制

2022 8th International Conference on Applied System Innovation (ICASI) Pub Date : 2022-04-22 DOI: 10.1109/ICASI55125.2022.9774486

M. Chiang, Ching-Huei Lin, Chun-Hung Chien, Kai-tung Ma, Shun-Han Yang, Kuan-Yu Chen, Cherng-Jer Chueh

{"title":"Dynamic Simulation and Control of a Semi-submersible Floating Offshore Wind Turbine with a Direct-Driving Permanent Magnetic Synchronized Generator","authors":"M. Chiang, Ching-Huei Lin, Chun-Hung Chien, Kai-tung Ma, Shun-Han Yang, Kuan-Yu Chen, Cherng-Jer Chueh","doi":"10.1109/ICASI55125.2022.9774486","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774486","url":null,"abstract":"This study aims to investigate a large semi-submersible floating wind turbine with a direct-drive permanent magnet synchronous generator under the environment of Taiwan Strait. The floating wind turbine is composed of LIFES50+ OO-Star Wind Floater Semi 10MW platform and IEA 10MW wind turbine. The co-simulation system is combined with the software of Simpack, MATLAB/Simulink and FAST. The model of the floating platform, mooring system, nacelle, and rotor blade are built in Simpack, which is a multibody system simulation software. FAST contains several subsystems, including aerodynamic software library, time-domain hydrodynamics module, and mooring analysis module can be used for aero-hydro-servo-elastic simulation. Hydrodynamic coefficients of the floating platform are preprocessing from WAMIT which is used to analysis the wave interaction with structures. Other parts of the system are built in MATLAB/Simulink, which include the direct-drive permanent magnet synchronous generator model, hydraulic blade pitch system, wind turbine controller. Different lengths of mooring system are compared and discussed to show the motion influence to the floating wind turbine. Finally, the developed models and controllers of the floating wind turbine were investigated under turbulence conditions to verify the performance of the controller.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133941453","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

Improving the efficiency of Dual-path Transformer Network for speech enhancement by reducing the input feature dimensionality 通过降低输入特征维数来提高双路变压器网络语音增强效率

2022 8th International Conference on Applied System Innovation (ICASI) Pub Date : 2022-04-22 DOI: 10.1109/ICASI55125.2022.9774439

Yong-Jie Tang, Po-Yen Hsieh, Ming-Hung Tsai, Yan-Tong Chen, J. Hung

{"title":"Improving the efficiency of Dual-path Transformer Network for speech enhancement by reducing the input feature dimensionality","authors":"Yong-Jie Tang, Po-Yen Hsieh, Ming-Hung Tsai, Yan-Tong Chen, J. Hung","doi":"10.1109/ICASI55125.2022.9774439","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774439","url":null,"abstract":"The mainstream speech enhancement (SE) algorithms often require a deep neural network architecture, which is learned by a great amount of training data and their high-dimensional feature representations. As for the successful SE framework, DPTNet, the waveform-and short-time-Fourier-transform (STFT)-domain features and their bi-projection fusion features are used together as the encoder output to predict an accurate mask for the input spectrogram to obtain the enhanced signal.This study investigates whether we can reduce the size of input speech features in DPTNet to alleviate its computation complexity and keep its SE performance. The initial attempt is to use either the real or imaginary parts of the STFT features instead of both parts. The preliminary experiments conducted on the VoiceBank-DEMAND task show that this modification brings an insignificant difference in SE metric scores, including PESQ and STOI, for the test dataset. These results probably indicate that only the real or imaginary parts of the STFT features suffice to work together with wave-domain features for DPTNet. In this way, DPTNet can exhibit the same high SE behavior with a lower computation need, and thus we can implement it more efficiently.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133563186","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

[ICASI 2022 Front cover] [ICASI 2022封面]

2022 8th International Conference on Applied System Innovation (ICASI) Pub Date : 2022-04-22 DOI: 10.1109/icasi55125.2022.9774479

引用次数: 0

An ESD Investigation of 100 V UHV nLDMOSs Embedded with Schottky/SCR in the Drain Side 漏侧嵌入肖特基/可控硅的100v特高压nLDMOSs的ESD研究

2022 8th International Conference on Applied System Innovation (ICASI) Pub Date : 2022-04-22 DOI: 10.1109/ICASI55125.2022.9774438

Jhong-Yi Lai, Shen-Li Chen, Zhi-Wei Liu, Xing-Chen Mai, Yu-Jie Chung

{"title":"An ESD Investigation of 100 V UHV nLDMOSs Embedded with Schottky/SCR in the Drain Side","authors":"Jhong-Yi Lai, Shen-Li Chen, Zhi-Wei Liu, Xing-Chen Mai, Yu-Jie Chung","doi":"10.1109/ICASI55125.2022.9774438","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774438","url":null,"abstract":"In this paper, the original 100 V nLDMOS device is modulated by embedded Schottky/SCR devices in the drain side via a TSMC 0.5 μm UHV process. This work is divided into three main items. At first, the N+ in the drain terminal was divided into three equal partitions. The center ring N+ is replaced by the P+ doping, and then all N+ zones were changed to P+. This approach will increase the ESD capability without changing the cell area, but it will result in a reduction in the Vh value of the device, which will result in circuit latch-up effect. Secondly, by removing the N+ region in the drain side and forming a Schottky interface at the outer circumference of the drain side, the on-resistance of parasitic BJT is increased and the low Vh problem can be improved. Finally, the outer ring is doped with Schottky interface, the middle ring is doped with P+, and the inner ring is still doped with N+, which not only increases the ESD capability but also reduces the probability of latch-up effect. Eventually, these designed components were measured by TLP and HBM machines. It is found that when all the drain terminals are replaced by P+ (s100_FP), its It2 value can exceed 9 A, which is the best for all components, but at the same time the Vh value also decreases significantly. On the other hand, it is also found that both the s100_FP and s100_MPN samples can pass 8 kV HBM. Meanwhile, both the s100_FP and s100_MPN samples have excellent FOM values.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132485404","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

Low Baseband Harmonics Multi-Frequency PWM for Voltage Source Inverters 电压源逆变器的低基带谐波多频PWM

2022 8th International Conference on Applied System Innovation (ICASI) Pub Date : 2022-04-22 DOI: 10.1109/ICASI55125.2022.9774444

Keng-Yuan Chen, Jau-Nan Lin, Chyi-Sheng Huang

引用次数: 0

Predictive Handover Approach for Dynamic Resource Management in 5G Heterogeneous Networks using Grey Fuzzy Logical Control 基于灰色模糊逻辑控制的5G异构网络动态资源管理预测切换方法

2022 8th International Conference on Applied System Innovation (ICASI) Pub Date : 2022-04-22 DOI: 10.1109/ICASI55125.2022.9774442

Ruu-Sheng Huey, Tsung-Ming Lin, Chih-Kuo Hsu

{"title":"Predictive Handover Approach for Dynamic Resource Management in 5G Heterogeneous Networks using Grey Fuzzy Logical Control","authors":"Ruu-Sheng Huey, Tsung-Ming Lin, Chih-Kuo Hsu","doi":"10.1109/ICASI55125.2022.9774442","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774442","url":null,"abstract":"The fifth-generation communication system has new functions of low power consumption and high-speed transmission. It is a base station deployment architecture that requires high density, and usually uses heterogeneous wireless access technologies to meet users' high-speed data transmission requirements. The future development of 5G will closely integrate and mix existing 4G technologies to provide users with ubiquitous high-speed seamless communication services. However, as the number of handovers increases, a heterogeneous network will pose technical challenges for the mobility management of highly dense small cells. Because of the frequent handover probability, handover failure or handover ping-pong effect will often occur, which will cause system performance degradation. In order to solve this problem, we propose a grey fuzzy control method to predict the control parameters of handover, which can effectively reduce the number of interruptions and time delay of handover. In this article, we propose different dynamic resource management and predictive handover strategies based on the load of the target base station and the data characteristics of the network connection point. The main purpose of diversifying combinations of heterogeneous network traffic according to different resource requirements is to effectively use radio resources and improve handover efficiency, thereby improving overall system performance. The simulation results indicate that we proposed predictive handover approach for dynamic resource management approach significantly lowers the rates of handover ping-pong, radio link failure and reduces the dropping probability of handover connections.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128033834","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

IoT Based Smart Agriculture 基于物联网的智慧农业

2022 8th International Conference on Applied System Innovation (ICASI) Pub Date : 2022-04-22 DOI: 10.1109/ICASI55125.2022.9774472

M. Jeyaselvi, M. Sathya, Bvp Prasad

引用次数: 0

The preliminary study of improving the DPTNet speech enhancement system by adjusting its encoder and loss function 通过调整DPTNet的编码器和损失函数来改进DPTNet语音增强系统的初步研究

2022 8th International Conference on Applied System Innovation (ICASI) Pub Date : 2022-04-22 DOI: 10.1109/ICASI55125.2022.9774458

Yu-Yu Hsiao, Ming-Hsuan Wu, Kuan-Yu Tsai, J. Hung

{"title":"The preliminary study of improving the DPTNet speech enhancement system by adjusting its encoder and loss function","authors":"Yu-Yu Hsiao, Ming-Hsuan Wu, Kuan-Yu Tsai, J. Hung","doi":"10.1109/ICASI55125.2022.9774458","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774458","url":null,"abstract":"This study analyzes the celebrated speech enhancement method, Dual-Path Transformer Network (DPTNet), attempting to revise the respective arrangement to get superior performance.The DPTNet consists of three parts: encoder, separation layer and decoder. The encoder creates features from input speech signals. The separation layer mainly consists of two improved Transformers to perform mask-wise speech and noise separation on encoded features. Finally, the decoder reconstructs the speech signal from the masked features.We modify the DPTNet in two parts. First, we concatenate time- and frequency-domain features and then send them into a bottleneck block to create a compact feature representation. Second, we test several widely used loss functions at the terminal of the decoder and find that the hybrid loss used in another SE deep network, DEMUCS, behaves the best.To sum up, the new arrangement mentioned above provides the test set in the VoiceBank-DEMAND task with 2.85 in PESQ and 0.945 in STOI, which represents the speech quality and intelligibility, respectively.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126666551","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