Pub Date : 2024-03-20DOI: 10.1142/s0129156424400123
Xu Li, You Wang
The aim of this paper is to study and optimize the layout of heliostat mirror fields in solar photovoltaic power plants to improve energy efficiency. By analyzing the key factors of optical efficiency, the optical efficiency model is constructed. The optical efficiency of a single heliostat mirror is calculated using five efficiency factors, namely, shadow shading efficiency, cosine efficiency, atmospheric transmittance, collector truncation efficiency, and mirror reflectivity. The DELSOL layout is used as the initial mirror field, and the mirror field design is optimized by the particle swarm algorithm. The optimal design parameters of the heliostat mirror field including the position of the absorption tower, the size of the heliostat, and the installation height were calculated by adjusting the positions of the heliostat and the absorption tower many times. The results show that the annual average optical efficiency of the heliostat field is 0.6127, and the annual average thermal power output is 37.4508 MW. Through optimization, the annual average optical efficiency of the heliostat field is increased to 0.75, and the annual average thermal power output reaches 64.98 MW. In addition, the results show that the heliostat field has a seasonal characteristic. The optical efficiency and the annual average thermal power output change monthly.
{"title":"Optimization of Optical Efficiency Modeling and Heliostat Field Layout of Tower Solar Thermal Power Station","authors":"Xu Li, You Wang","doi":"10.1142/s0129156424400123","DOIUrl":"https://doi.org/10.1142/s0129156424400123","url":null,"abstract":"The aim of this paper is to study and optimize the layout of heliostat mirror fields in solar photovoltaic power plants to improve energy efficiency. By analyzing the key factors of optical efficiency, the optical efficiency model is constructed. The optical efficiency of a single heliostat mirror is calculated using five efficiency factors, namely, shadow shading efficiency, cosine efficiency, atmospheric transmittance, collector truncation efficiency, and mirror reflectivity. The DELSOL layout is used as the initial mirror field, and the mirror field design is optimized by the particle swarm algorithm. The optimal design parameters of the heliostat mirror field including the position of the absorption tower, the size of the heliostat, and the installation height were calculated by adjusting the positions of the heliostat and the absorption tower many times. The results show that the annual average optical efficiency of the heliostat field is 0.6127, and the annual average thermal power output is 37.4508 MW. Through optimization, the annual average optical efficiency of the heliostat field is increased to 0.75, and the annual average thermal power output reaches 64.98 MW. In addition, the results show that the heliostat field has a seasonal characteristic. The optical efficiency and the annual average thermal power output change monthly.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"101 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140224902","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}
Pub Date : 2024-03-20DOI: 10.1142/s0129156424400068
Zhiqiang Ma
High-Performance Database (HPDB) is designed to meet the demands of today’s modern data-driven world, as massive volumes of information need to be accessed and analyzed with minimal latency. A pivotal aspect of their operation lies in efficient data communication among nodes in a computer network, which is essential for parallel database systems. HPDBs may involve distributed architectures and parallel database systems to store and process data across multiple nodes or servers in a network. Hence, an algorithm called Hybridized Partitioning Strategy (HPS)-based Communication (C) for achieving HPDB has been proposed to facilitate data transmission and coordination across a computer network using the Message Passing Interface (MPI) protocol. The proposed HPS-C-HPDB technique includes partitioning and distributing data, query routing, and load balancing strategies to achieve high-performance levels. The (HPS) combines hash and range partitioning methods for effective processing and retrieval to balance data distribution, reduce communication overhead in parallel databases, and improve the system’s performance. In parallel database systems, query routing effectively routes requests into the optimal nodes or partitions based on the query’s conditions and the data’s placement and guarantees efficient data processing and retrieval. The proposed scheme is evaluated using various performance metrics like throughput, response time, speedup, and communication overhead analysis.
{"title":"Data Communication Algorithm of HPDB Parallel Database System Based on Computer Network","authors":"Zhiqiang Ma","doi":"10.1142/s0129156424400068","DOIUrl":"https://doi.org/10.1142/s0129156424400068","url":null,"abstract":"High-Performance Database (HPDB) is designed to meet the demands of today’s modern data-driven world, as massive volumes of information need to be accessed and analyzed with minimal latency. A pivotal aspect of their operation lies in efficient data communication among nodes in a computer network, which is essential for parallel database systems. HPDBs may involve distributed architectures and parallel database systems to store and process data across multiple nodes or servers in a network. Hence, an algorithm called Hybridized Partitioning Strategy (HPS)-based Communication (C) for achieving HPDB has been proposed to facilitate data transmission and coordination across a computer network using the Message Passing Interface (MPI) protocol. The proposed HPS-C-HPDB technique includes partitioning and distributing data, query routing, and load balancing strategies to achieve high-performance levels. The (HPS) combines hash and range partitioning methods for effective processing and retrieval to balance data distribution, reduce communication overhead in parallel databases, and improve the system’s performance. In parallel database systems, query routing effectively routes requests into the optimal nodes or partitions based on the query’s conditions and the data’s placement and guarantees efficient data processing and retrieval. The proposed scheme is evaluated using various performance metrics like throughput, response time, speedup, and communication overhead analysis.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"32 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140226343","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}
Pub Date : 2024-03-15DOI: 10.1142/s012915642440010x
Yongli Gao, Gang Wang
Traditional network data transmission (DT) has certain limitations in terms of processing, storage, and communication capabilities. Moreover, DT is easily affected by the network environment, which can reduce the real-time performance of DT. In severe cases, network transmission failures, DT interruptions, and other issues may even occur. As a new network, wireless sensor networks (WSN) have been widely used in military, industrial, agricultural, medical and other fields. In this paper, WSN was regarded as an important research method, and in-depth research was carried out around the real-time and energy consumption (for the convenience of the following text, the abbreviation for energy consumption is EC) of WSN DT. This paper focused on the issues of real-time performance, EC, and real-time transmission. It balanced EC and improved real-time performance through the low energy adaptive clustering hierarchy (LEACH) protocol and the power-efficient gathering in sensor information systems (PEGASIS) protocol. The experimental results showed that the real-time rates of LEACH under single reaction nodes were 45.5% and 48.6%, respectively. The lowest and highest real-time rates of PEGASIS were 86.2% and 89.5%, respectively. The real-time rate of PEGASIS was much higher than that of LEACH, proving that the proposed PEGASIS had high real-time performance and reduced DT delay.
{"title":"Evaluation on Data Transmission in Wireless Sensor Networks Based on Computer Technology","authors":"Yongli Gao, Gang Wang","doi":"10.1142/s012915642440010x","DOIUrl":"https://doi.org/10.1142/s012915642440010x","url":null,"abstract":"Traditional network data transmission (DT) has certain limitations in terms of processing, storage, and communication capabilities. Moreover, DT is easily affected by the network environment, which can reduce the real-time performance of DT. In severe cases, network transmission failures, DT interruptions, and other issues may even occur. As a new network, wireless sensor networks (WSN) have been widely used in military, industrial, agricultural, medical and other fields. In this paper, WSN was regarded as an important research method, and in-depth research was carried out around the real-time and energy consumption (for the convenience of the following text, the abbreviation for energy consumption is EC) of WSN DT. This paper focused on the issues of real-time performance, EC, and real-time transmission. It balanced EC and improved real-time performance through the low energy adaptive clustering hierarchy (LEACH) protocol and the power-efficient gathering in sensor information systems (PEGASIS) protocol. The experimental results showed that the real-time rates of LEACH under single reaction nodes were 45.5% and 48.6%, respectively. The lowest and highest real-time rates of PEGASIS were 86.2% and 89.5%, respectively. The real-time rate of PEGASIS was much higher than that of LEACH, proving that the proposed PEGASIS had high real-time performance and reduced DT delay.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"70 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140238173","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}
Pub Date : 2024-03-02DOI: 10.1142/s0129156424400093
Xiaowei Hu
More considerable power distortions are produced by the non-reversible diode-bridge rectifiers in the power system’s AC-DC conversion technology. In addition, bridge-rectifiers worsen energy quality and decrease power factor. Three-Phase Pulse Width Modulation (3phase-PWM) rectifiers have seen rapid growth in use due to recent breakthroughs in power device technology. Its benefits include a unity power factor, no harmonic distortion, and pulsating direct currents. An actual power regulation technique based on a novel virtual power grid controller is suggested to cheaply regulate a 3phase-PWM converter with good performance. The study introduces a new sensorless control scheme to improve the 3phase-PWM-performance rectifier. The proposed control technique employs the virtual power grid flux-oriented vector control with a Second-Order Generic Integral with Instantaneous Phase Lock Loop (SOGI-IPLL) to overcome the problems inherent in relying only on low-pass filter estimates. The virtual power grid flux value may then determine the phase difference. The IPLL takes the phase angle as an input and is utilized to construct the power-oriented vector control. The proposed power grid flux-oriented control strategy combines the VFidea with SOGI-IPLL to circumvent the restrictions imposed by relying only on an integrator of low-pass filters (LPF) to provide an estimate. A refined Virtual flux (VF) estimator with direct power control can improve management at a cheaper cost and more efficiently. The modeling findings demonstrate that the DC voltage input and power grid throughput of the 3phase-PWM rectifier can be successfully regulated in both the rectification and inversion states, allowing for the effective functioning of the 3phase-PWM rectifier.
{"title":"Virtual Power Grid Flux-Oriented Vector Control for Three-Phase Voltage-Type PWM Rectifier","authors":"Xiaowei Hu","doi":"10.1142/s0129156424400093","DOIUrl":"https://doi.org/10.1142/s0129156424400093","url":null,"abstract":"More considerable power distortions are produced by the non-reversible diode-bridge rectifiers in the power system’s AC-DC conversion technology. In addition, bridge-rectifiers worsen energy quality and decrease power factor. Three-Phase Pulse Width Modulation (3phase-PWM) rectifiers have seen rapid growth in use due to recent breakthroughs in power device technology. Its benefits include a unity power factor, no harmonic distortion, and pulsating direct currents. An actual power regulation technique based on a novel virtual power grid controller is suggested to cheaply regulate a 3phase-PWM converter with good performance. The study introduces a new sensorless control scheme to improve the 3phase-PWM-performance rectifier. The proposed control technique employs the virtual power grid flux-oriented vector control with a Second-Order Generic Integral with Instantaneous Phase Lock Loop (SOGI-IPLL) to overcome the problems inherent in relying only on low-pass filter estimates. The virtual power grid flux value may then determine the phase difference. The IPLL takes the phase angle as an input and is utilized to construct the power-oriented vector control. The proposed power grid flux-oriented control strategy combines the VFidea with SOGI-IPLL to circumvent the restrictions imposed by relying only on an integrator of low-pass filters (LPF) to provide an estimate. A refined Virtual flux (VF) estimator with direct power control can improve management at a cheaper cost and more efficiently. The modeling findings demonstrate that the DC voltage input and power grid throughput of the 3phase-PWM rectifier can be successfully regulated in both the rectification and inversion states, allowing for the effective functioning of the 3phase-PWM rectifier.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"37 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140081466","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}
Pub Date : 2024-02-21DOI: 10.1142/s0129156424400056
Kongduo Xing, Guozhang Li, Yetong Wang, Rayner Alfred
With the development of information technology and the increasing demand for data processing, the serial mode of the central processing unit (CPU) is difficult to efficiently transmit large-scale spatiotemporal data, and the processing effect for high-resolution images is not good. This paper designed a high-resolution image processing and spatiotemporal data transmission system based on graphics processing unit (GPU) acceleration to improve the processing efficiency of large-scale spatiotemporal data. In this paper, traffic spatiotemporal data was taken as an example for analysis. Large-scale traffic image data was collected by road monitoring equipment, and image compression was performed on the collected image. Fourier transform was used to eliminate image data redundancy, and GPU-accelerated parallel processing was used to achieve fast image defogging and data transmission. This paper selected 2TB of traffic spatiotemporal data with image resolutions of 540P, 720P, 1080P, 1440P, and 2160P. GPU acceleration was performed using the Compute Unified Device Architecture (CUDA). In images with a resolution of 2160P, the processing time for CPU and GPU acceleration was 2900ms and 28ms, respectively, with an acceleration ratio of 103.6. A high-resolution image processing and spatiotemporal data transmission system based on GPU acceleration can improve the efficiency of traffic spatiotemporal data processing and have excellent concurrent processing capabilities.
{"title":"High-Resolution Image Processing and Spatiotemporal Data Transmission System Based on GPU Acceleration","authors":"Kongduo Xing, Guozhang Li, Yetong Wang, Rayner Alfred","doi":"10.1142/s0129156424400056","DOIUrl":"https://doi.org/10.1142/s0129156424400056","url":null,"abstract":"With the development of information technology and the increasing demand for data processing, the serial mode of the central processing unit (CPU) is difficult to efficiently transmit large-scale spatiotemporal data, and the processing effect for high-resolution images is not good. This paper designed a high-resolution image processing and spatiotemporal data transmission system based on graphics processing unit (GPU) acceleration to improve the processing efficiency of large-scale spatiotemporal data. In this paper, traffic spatiotemporal data was taken as an example for analysis. Large-scale traffic image data was collected by road monitoring equipment, and image compression was performed on the collected image. Fourier transform was used to eliminate image data redundancy, and GPU-accelerated parallel processing was used to achieve fast image defogging and data transmission. This paper selected 2TB of traffic spatiotemporal data with image resolutions of 540P, 720P, 1080P, 1440P, and 2160P. GPU acceleration was performed using the Compute Unified Device Architecture (CUDA). In images with a resolution of 2160P, the processing time for CPU and GPU acceleration was 2900ms and 28ms, respectively, with an acceleration ratio of 103.6. A high-resolution image processing and spatiotemporal data transmission system based on GPU acceleration can improve the efficiency of traffic spatiotemporal data processing and have excellent concurrent processing capabilities.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"125 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140445233","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}
Pub Date : 2024-02-14DOI: 10.1142/s012915642440007x
Yan Zhang, Xiangyu Cheng
In the force calculation of the Biefeld–Brown Effect, it is not feasible to precisely determine the magnitude of the lift force generated by an asymmetric capacitor in a scenario where its shape is arbitrary. In this paper, first, we deduce a universally applicable formula, it solves the problem of the lift force with uneven charge distribution. Second, by the experimental method of dimensional analysis based on the principle of similarity, we calculate the lift forces of all types of asymmetric capacitors. Finally, we obtain a set of thrust data through experiments, and then fit the set of experimental data through the derived mathematical model and BP neural network, respectively. It confirms the accuracy of the mathematical model.
在毕菲尔德-布朗效应的力计算中，要精确确定非对称电容器在任意形状情况下产生的升力大小是不可行的。本文首先推导出一个普遍适用的公式，解决了电荷分布不均匀时的升力问题。其次，通过基于相似性原理的尺寸分析实验方法，我们计算了所有类型非对称电容器的升力。最后，我们通过实验获得了一组推力数据，然后分别通过推导出的数学模型和 BP 神经网络对这组实验数据进行拟合。这证实了数学模型的准确性。
{"title":"Mathematical Modeling and Certifying for Biefeld–Brown Effect with BP Neural Network","authors":"Yan Zhang, Xiangyu Cheng","doi":"10.1142/s012915642440007x","DOIUrl":"https://doi.org/10.1142/s012915642440007x","url":null,"abstract":"In the force calculation of the Biefeld–Brown Effect, it is not feasible to precisely determine the magnitude of the lift force generated by an asymmetric capacitor in a scenario where its shape is arbitrary. In this paper, first, we deduce a universally applicable formula, it solves the problem of the lift force with uneven charge distribution. Second, by the experimental method of dimensional analysis based on the principle of similarity, we calculate the lift forces of all types of asymmetric capacitors. Finally, we obtain a set of thrust data through experiments, and then fit the set of experimental data through the derived mathematical model and BP neural network, respectively. It confirms the accuracy of the mathematical model.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"53 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139777498","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}
Pub Date : 2024-02-14DOI: 10.1142/s012915642440007x
Yan Zhang, Xiangyu Cheng
In the force calculation of the Biefeld–Brown Effect, it is not feasible to precisely determine the magnitude of the lift force generated by an asymmetric capacitor in a scenario where its shape is arbitrary. In this paper, first, we deduce a universally applicable formula, it solves the problem of the lift force with uneven charge distribution. Second, by the experimental method of dimensional analysis based on the principle of similarity, we calculate the lift forces of all types of asymmetric capacitors. Finally, we obtain a set of thrust data through experiments, and then fit the set of experimental data through the derived mathematical model and BP neural network, respectively. It confirms the accuracy of the mathematical model.
在毕菲尔德-布朗效应的力计算中，要精确确定非对称电容器在任意形状情况下产生的升力大小是不可行的。本文首先推导出一个普遍适用的公式，解决了电荷分布不均匀时的升力问题。其次，通过基于相似性原理的尺寸分析实验方法，我们计算了所有类型非对称电容器的升力。最后，我们通过实验获得了一组推力数据，然后分别通过推导出的数学模型和 BP 神经网络对这组实验数据进行拟合。这证实了数学模型的准确性。
{"title":"Mathematical Modeling and Certifying for Biefeld–Brown Effect with BP Neural Network","authors":"Yan Zhang, Xiangyu Cheng","doi":"10.1142/s012915642440007x","DOIUrl":"https://doi.org/10.1142/s012915642440007x","url":null,"abstract":"In the force calculation of the Biefeld–Brown Effect, it is not feasible to precisely determine the magnitude of the lift force generated by an asymmetric capacitor in a scenario where its shape is arbitrary. In this paper, first, we deduce a universally applicable formula, it solves the problem of the lift force with uneven charge distribution. Second, by the experimental method of dimensional analysis based on the principle of similarity, we calculate the lift forces of all types of asymmetric capacitors. Finally, we obtain a set of thrust data through experiments, and then fit the set of experimental data through the derived mathematical model and BP neural network, respectively. It confirms the accuracy of the mathematical model.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"343 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139837083","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}
Pub Date : 2024-01-23DOI: 10.1142/s0129156424400019
Meng Zhang, Luqiang Tian, Liwu Jin, Yanqiang Zhao
Microservice architecture is a new architecture pattern, which aims to provide users with more reliable, maintainable, and extensible software design services. However, with the continuous expansion of the scale of microservice application system, the proliferation of services and service interactions in the system make the system fault detection difficult. Detecting faults accurately and effectively is the key technology to ensure the system reliability and stability. From the perspective of microservice operation status and dependencies between services, this paper proposes a space-aware bidirectional gated recurrent unit (BGRU) microservice fault detection algorithm, which uses deep learning technology to mine hidden information that causes failures and combines space-aware attention to establish long-distance spatial dependency to improve the accuracy of model detection. The paper also conducts many experiments to demonstrate the effectiveness of the algorithm in microservice fault detection.
{"title":"Space Aware BGRU Microservice Fault Detection Algorithm","authors":"Meng Zhang, Luqiang Tian, Liwu Jin, Yanqiang Zhao","doi":"10.1142/s0129156424400019","DOIUrl":"https://doi.org/10.1142/s0129156424400019","url":null,"abstract":"Microservice architecture is a new architecture pattern, which aims to provide users with more reliable, maintainable, and extensible software design services. However, with the continuous expansion of the scale of microservice application system, the proliferation of services and service interactions in the system make the system fault detection difficult. Detecting faults accurately and effectively is the key technology to ensure the system reliability and stability. From the perspective of microservice operation status and dependencies between services, this paper proposes a space-aware bidirectional gated recurrent unit (BGRU) microservice fault detection algorithm, which uses deep learning technology to mine hidden information that causes failures and combines space-aware attention to establish long-distance spatial dependency to improve the accuracy of model detection. The paper also conducts many experiments to demonstrate the effectiveness of the algorithm in microservice fault detection.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"121 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139605492","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}
Pub Date : 2024-01-23DOI: 10.1142/s0129156424500046
Xueqing Liu, T. Ytterdal, M. Shur
Field effect transistors (FETs) in plasmonic regimes of operation could detect terahertz (THz) radiation and operate as THz interferometers, spectrometers, frequency-to-digital converters and THz modulators and sources. We report on the development of compact models for Si MOS (Metal-Oxide-semiconductor) and heterostructure-based plasmonic FETs (or TeraFETs) suitable for circuit design in the THz range and based on the multi-segment unified charge control model. This model accounts for the electron inertia effect (by incorporating segmented Drude inductances), for the ballistic field effect mobility, which is proportional to the channel length, for parasitic resistances and capacitances and for the leakage current. It is validated by comparison with experimental data and TCAD simulation results. The model can be used for simulation and optimization of sub-THz and THz detectors. Our simulations use up to 200 segments in the device channel. The results are also in good qualitative agreement with the hydrodynamic simulations. Applications of our model could dramatically reduce astronomical design costs of nanoscale VLSI reaching US$1.5 billion for the 3 nm technological node.
{"title":"Compact Spice Models for Terafets","authors":"Xueqing Liu, T. Ytterdal, M. Shur","doi":"10.1142/s0129156424500046","DOIUrl":"https://doi.org/10.1142/s0129156424500046","url":null,"abstract":"Field effect transistors (FETs) in plasmonic regimes of operation could detect terahertz (THz) radiation and operate as THz interferometers, spectrometers, frequency-to-digital converters and THz modulators and sources. We report on the development of compact models for Si MOS (Metal-Oxide-semiconductor) and heterostructure-based plasmonic FETs (or TeraFETs) suitable for circuit design in the THz range and based on the multi-segment unified charge control model. This model accounts for the electron inertia effect (by incorporating segmented Drude inductances), for the ballistic field effect mobility, which is proportional to the channel length, for parasitic resistances and capacitances and for the leakage current. It is validated by comparison with experimental data and TCAD simulation results. The model can be used for simulation and optimization of sub-THz and THz detectors. Our simulations use up to 200 segments in the device channel. The results are also in good qualitative agreement with the hydrodynamic simulations. Applications of our model could dramatically reduce astronomical design costs of nanoscale VLSI reaching US$1.5 billion for the 3 nm technological node.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"33 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139603713","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}
Pub Date : 2024-01-23DOI: 10.1142/s0129156424400020
Bo Xu, Qingyuan Guo
The hydrological cycle in the natural environment plays a crucial role in influencing human societal progress and everyday life, particularly in the realm of agriculture. Precipitation is a vital component of the natural water cycle. In recent years, multiple approaches for estimating rainfall have been developed by researchers to achieve improved results. However, the precision of conventional rainfall estimation techniques remains inconsistent, particularly in instances of heavy rainfall, which can result in considerable errors. Scholars have turned their attention to deep learning techniques, which excel at processing raw data and autonomously identifying model parameters. In this study, we present and compare two deep learning frameworks for precipitation estimation based on BPNN and CNN, in contrast to traditional methods. We also use a real dataset to validate the effectiveness of the deep learning models, and the experimental outcomes indicate that the CNN-based precipitation estimation method outperforms several other models.
{"title":"Precipitation Estimation Methods Based on BPNN and CNN","authors":"Bo Xu, Qingyuan Guo","doi":"10.1142/s0129156424400020","DOIUrl":"https://doi.org/10.1142/s0129156424400020","url":null,"abstract":"The hydrological cycle in the natural environment plays a crucial role in influencing human societal progress and everyday life, particularly in the realm of agriculture. Precipitation is a vital component of the natural water cycle. In recent years, multiple approaches for estimating rainfall have been developed by researchers to achieve improved results. However, the precision of conventional rainfall estimation techniques remains inconsistent, particularly in instances of heavy rainfall, which can result in considerable errors. Scholars have turned their attention to deep learning techniques, which excel at processing raw data and autonomously identifying model parameters. In this study, we present and compare two deep learning frameworks for precipitation estimation based on BPNN and CNN, in contrast to traditional methods. We also use a real dataset to validate the effectiveness of the deep learning models, and the experimental outcomes indicate that the CNN-based precipitation estimation method outperforms several other models.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"13 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139602951","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}
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