Pub Date : 2024-07-25DOI: 10.1142/s0129156424400640
A. Husawi, R. Gudlavalleti, A. Almalki, F. Jain
This paper presents a comprehensive analysis of power dissipation and propagation delay in 2-bit SRAM configurations ranging from 7T to 10T, building upon previous work on 6T 2-bit/4-state SWSFET SRAM designs. The study compares the performance of SWSFET SRAMs with CMOS-based 2-state SRAMs [7], highlighting the former’s significant advantages in speed and power consumption. Utilizing Cadence simulations and models such as Analog Behavioral Model (ABM) and EKV (Enz–Krummenacher–Vittoz), the analysis incorporates real-world 0.18-[Formula: see text]m technology considerations. The research explores the design nuances of 7T–10T SRAM configurations using SWS-FETs, leveraging their unique characteristics like vertically stacked quantum well/quantum dot channels. Power dissipation analysis reveals varying trends across different SRAM configurations, with notable shifts in voltage changes during transitions. Similarly, propagation delay assessments showcase diverse durations for different voltage transitions, underscoring the impact of SRAM configuration changes on efficiency and complexity. In addition, parasitic capacitance is crucial for optimizing the performance, power efficiency, and reliability of SRAM cells. In these circuits an internal storage parasitic capacitance of 1[Formula: see text]fF has been considered to evaluate its effects through simulation-based analysis during the memory cell design process. The findings contribute valuable insights into the trade-offs involved in SRAM design, particularly concerning power dissipation and propagation delay, and are presented. Overall, this study sheds light on the promising potential of SWS-FETs for enhancing memory circuitry performance.
{"title":"A Comprehensive Study and Comparison of 2-Bit 7T–10T SRAM Configurations with 4-State CMOS-SWS Inverters","authors":"A. Husawi, R. Gudlavalleti, A. Almalki, F. Jain","doi":"10.1142/s0129156424400640","DOIUrl":"https://doi.org/10.1142/s0129156424400640","url":null,"abstract":"This paper presents a comprehensive analysis of power dissipation and propagation delay in 2-bit SRAM configurations ranging from 7T to 10T, building upon previous work on 6T 2-bit/4-state SWSFET SRAM designs. The study compares the performance of SWSFET SRAMs with CMOS-based 2-state SRAMs [7], highlighting the former’s significant advantages in speed and power consumption. Utilizing Cadence simulations and models such as Analog Behavioral Model (ABM) and EKV (Enz–Krummenacher–Vittoz), the analysis incorporates real-world 0.18-[Formula: see text]m technology considerations. The research explores the design nuances of 7T–10T SRAM configurations using SWS-FETs, leveraging their unique characteristics like vertically stacked quantum well/quantum dot channels. Power dissipation analysis reveals varying trends across different SRAM configurations, with notable shifts in voltage changes during transitions. Similarly, propagation delay assessments showcase diverse durations for different voltage transitions, underscoring the impact of SRAM configuration changes on efficiency and complexity. In addition, parasitic capacitance is crucial for optimizing the performance, power efficiency, and reliability of SRAM cells. In these circuits an internal storage parasitic capacitance of 1[Formula: see text]fF has been considered to evaluate its effects through simulation-based analysis during the memory cell design process. The findings contribute valuable insights into the trade-offs involved in SRAM design, particularly concerning power dissipation and propagation delay, and are presented. Overall, this study sheds light on the promising potential of SWS-FETs for enhancing memory circuitry performance.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"27 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802746","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 : 2024-07-25DOI: 10.1142/s0129156424400883
Liang Zhu
The traditional fault detection methods for turntable bearings mainly rely on manual inspection and simple vibration signal analysis. Although these methods can detect faults to a certain extent, they have limitations such as low efficiency, low accuracy, and susceptibility to human factors. To overcome the challenges and limitations of traditional methods, we propose a fault detection method for engineering crane turntable bearings based on the adaptive fireworks algorithm (AFA). Fault detection of turntable bearing of engineering lifting machinery based on an AFA is an innovative method using the fireworks algorithm (FWA) for fault detection. FWA is a kind of optimization algorithm with global search and local search ability, which can effectively solve complex engineering problems. In the fault detection of turntable bearing of engineering lifting machinery, the FWA adaptively adjusts the radius and number of fireworks explosions, so that the algorithm can search in the global scope and detect the fault more accurately. At the same time, the FWA also has a local search ability, which can carry out fine search of the fault area and improve the accuracy of fault detection. By applying the FWA to the fault detection of turntable bearing of engineering lifting machinery, the efficiency and accuracy of fault detection can be effectively improved, the cost of fault detection can be reduced, and the safe operation of engineering lifting machinery can be guaranteed. The fault detection method of turntable bearing of engineering lifting machinery based on an AFA is an innovative method with broad application prospects and can provide an effective solution for the fault detection of engineering lifting machinery.
{"title":"Fault Detection of Turntable Bearing of Engineering Lifting Machinery Based on Adaptive Fireworks Algorithm","authors":"Liang Zhu","doi":"10.1142/s0129156424400883","DOIUrl":"https://doi.org/10.1142/s0129156424400883","url":null,"abstract":"The traditional fault detection methods for turntable bearings mainly rely on manual inspection and simple vibration signal analysis. Although these methods can detect faults to a certain extent, they have limitations such as low efficiency, low accuracy, and susceptibility to human factors. To overcome the challenges and limitations of traditional methods, we propose a fault detection method for engineering crane turntable bearings based on the adaptive fireworks algorithm (AFA). Fault detection of turntable bearing of engineering lifting machinery based on an AFA is an innovative method using the fireworks algorithm (FWA) for fault detection. FWA is a kind of optimization algorithm with global search and local search ability, which can effectively solve complex engineering problems. In the fault detection of turntable bearing of engineering lifting machinery, the FWA adaptively adjusts the radius and number of fireworks explosions, so that the algorithm can search in the global scope and detect the fault more accurately. At the same time, the FWA also has a local search ability, which can carry out fine search of the fault area and improve the accuracy of fault detection. By applying the FWA to the fault detection of turntable bearing of engineering lifting machinery, the efficiency and accuracy of fault detection can be effectively improved, the cost of fault detection can be reduced, and the safe operation of engineering lifting machinery can be guaranteed. The fault detection method of turntable bearing of engineering lifting machinery based on an AFA is an innovative method with broad application prospects and can provide an effective solution for the fault detection of engineering lifting machinery.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"54 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141803712","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 : 2024-07-20DOI: 10.1142/s0129156424400536
Niloy K. Dutta
This paper describes the recent advances in device designs and optical transmission applications of semiconductor optical amplifiers (SOA). The device advances described are quantum-dot-based SOA and photonic-integrated circuits using SOA. The use of nonlinear properties of SOAs in high-speed optical transmission is discussed.
本文介绍了半导体光放大器（SOA）在器件设计和光传输应用方面的最新进展。所介绍的器件进展包括基于量子点的 SOA 和使用 SOA 的光子集成电路。文章还讨论了 SOA 的非线性特性在高速光传输中的应用。
{"title":"Recent Advances and Applications of Semiconductor Optical Amplifiers","authors":"Niloy K. Dutta","doi":"10.1142/s0129156424400536","DOIUrl":"https://doi.org/10.1142/s0129156424400536","url":null,"abstract":"This paper describes the recent advances in device designs and optical transmission applications of semiconductor optical amplifiers (SOA). The device advances described are quantum-dot-based SOA and photonic-integrated circuits using SOA. The use of nonlinear properties of SOAs in high-speed optical transmission is discussed.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"120 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819832","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 : 2024-07-20DOI: 10.1142/s0129156424400639
Jea-Jung Lee, A. Levi, D. Naveh, F. Xia
Mid-infrared (mid-IR) photodetection is important for various applications, including biomedical diagnostics, security, chemical identification, and free-spacing optical communications. However, conventional “photon” mid-IR photodetectors require liquid nitrogen cooling (i.e., MCT). Furthermore, acquiring mid-IR spectra usually involves a complex and expensive Fourier Transform Infrared spectrometer, a tabletop instrument consisting of a meter-long interferometer and MCT detectors, which is not suitable for mobile and compact device applications. In this work, we present tunable photoresponsivity in the mid-IR wavelength in palladium diselenide (PdSe2) – molybdenum disulfide (MoS2) heterostructure field-effect transistors (FETs), operating at room temperature. Furthermore, we applied a tunable membrane cavity to modulate the Fabry–Pérot resonance to modulate the absorption spectrum of the device layer. We used a robust polyetherimide (PEI) membrane with CVD-grown graphene to electrically tune the membrane structure. For the next step, we will integrate the PdSe2-based photodetector and tunable membrane to increase detection sensitivity and spectrum tunability to realize the ‘learning’-based spectroscopy.
{"title":"Mid-Infrared Spectrometer Based on Tunable Photoresponses in Pdse2","authors":"Jea-Jung Lee, A. Levi, D. Naveh, F. Xia","doi":"10.1142/s0129156424400639","DOIUrl":"https://doi.org/10.1142/s0129156424400639","url":null,"abstract":"Mid-infrared (mid-IR) photodetection is important for various applications, including biomedical diagnostics, security, chemical identification, and free-spacing optical communications. However, conventional “photon” mid-IR photodetectors require liquid nitrogen cooling (i.e., MCT). Furthermore, acquiring mid-IR spectra usually involves a complex and expensive Fourier Transform Infrared spectrometer, a tabletop instrument consisting of a meter-long interferometer and MCT detectors, which is not suitable for mobile and compact device applications. In this work, we present tunable photoresponsivity in the mid-IR wavelength in palladium diselenide (PdSe2) – molybdenum disulfide (MoS2) heterostructure field-effect transistors (FETs), operating at room temperature. Furthermore, we applied a tunable membrane cavity to modulate the Fabry–Pérot resonance to modulate the absorption spectrum of the device layer. We used a robust polyetherimide (PEI) membrane with CVD-grown graphene to electrically tune the membrane structure. For the next step, we will integrate the PdSe2-based photodetector and tunable membrane to increase detection sensitivity and spectrum tunability to realize the ‘learning’-based spectroscopy.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"1 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819416","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 : 2024-07-20DOI: 10.1142/s0129156424400652
Md. Maruf Hossain, Showmik Singha, Twisha Titirsha, Sazia A. Eliza, Syed Kamrul Islam
This research presents a comprehensive investigation and optimization of the Pt/AlN Schottky Barrier diode (SBD) using technology computer-aided design (TCAD) modeling. The study explores the electrical characteristics of AlN SBDs with various metal contacts, including Aluminum (Al), Silver (Ag), Tungsten (W), Gold (Au), Nickel (Ni), and Platinum (Pt). Through the comparative analyses of different metal/AlN Schottky contacts, the Pt/AlN structure emerges as the most promising due to its superior barrier height and lower leakage current. At [Formula: see text]K, the diode demonstrates a barrier height of 2.72[Formula: see text]V, a nearly ideal leakage current of 0.046[Formula: see text]pA, and a breakdown voltage of 363[Formula: see text]V. The research extends to examining the temperature-dependent electrical behavior of Pt/AlN Schottky diodes, particularly for high-power and high-temperature applications. Analysis carried out across temperatures ranging from [Formula: see text]K to [Formula: see text]K reveals a trend of increasing ON resistance and consistently lower leakage current with rising temperature. Importantly, the study indicates that the impact of temperature on the barrier height and breakdown voltage of the diode is negligible, thus rendering it suitable for high-temperature operation. Leveraging the unique properties of AlN as an ultra-wide bandgap material within the III-V compound semiconductor family, this research provides valuable insights into the potential applications of Pt/AlN Schottky contact. The study highlights that the Pt/AlN Schottky contact is effective not only for high-power, high-temperature SBDs but also as superior metal/semiconductor gate contacts for field-effect transistors (FETs). Their suitability is attributed to their ability to handle high voltages, minimize reverse leakage current, and demonstrate improved thermal stability.
{"title":"Optimizing TCAD Model and Temperature-Dependent Analysis of Pt/AlN Schottky Barrier Diodes for High-Power and High-Temperature Applications","authors":"Md. Maruf Hossain, Showmik Singha, Twisha Titirsha, Sazia A. Eliza, Syed Kamrul Islam","doi":"10.1142/s0129156424400652","DOIUrl":"https://doi.org/10.1142/s0129156424400652","url":null,"abstract":"This research presents a comprehensive investigation and optimization of the Pt/AlN Schottky Barrier diode (SBD) using technology computer-aided design (TCAD) modeling. The study explores the electrical characteristics of AlN SBDs with various metal contacts, including Aluminum (Al), Silver (Ag), Tungsten (W), Gold (Au), Nickel (Ni), and Platinum (Pt). Through the comparative analyses of different metal/AlN Schottky contacts, the Pt/AlN structure emerges as the most promising due to its superior barrier height and lower leakage current. At [Formula: see text]K, the diode demonstrates a barrier height of 2.72[Formula: see text]V, a nearly ideal leakage current of 0.046[Formula: see text]pA, and a breakdown voltage of 363[Formula: see text]V. The research extends to examining the temperature-dependent electrical behavior of Pt/AlN Schottky diodes, particularly for high-power and high-temperature applications. Analysis carried out across temperatures ranging from [Formula: see text]K to [Formula: see text]K reveals a trend of increasing ON resistance and consistently lower leakage current with rising temperature. Importantly, the study indicates that the impact of temperature on the barrier height and breakdown voltage of the diode is negligible, thus rendering it suitable for high-temperature operation. Leveraging the unique properties of AlN as an ultra-wide bandgap material within the III-V compound semiconductor family, this research provides valuable insights into the potential applications of Pt/AlN Schottky contact. The study highlights that the Pt/AlN Schottky contact is effective not only for high-power, high-temperature SBDs but also as superior metal/semiconductor gate contacts for field-effect transistors (FETs). Their suitability is attributed to their ability to handle high voltages, minimize reverse leakage current, and demonstrate improved thermal stability.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"45 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819577","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 : 2024-07-20DOI: 10.1142/s0129156424400160
Tao Yang, Rui Li, Chengjun Li
For the long-term continuous monitoring of bridge-related indicators, it is necessary to arrange relatively perfect acquisition equipment on the bridge, which can feedback various information parameters of the bridge. However, there are many parameters to feedback the bridge information, which leads to the complex and overstaffed structure of the monitoring system. Furthermore, the huge amount of data collected and the complex calculation process also increase the difficulty of the operation of the monitoring system. In this regard, we should choose more scientific and reasonable indicators, lightweight data structure, stable data transmission, and analysis programs to improve the accuracy of continuous monitoring. To establish a stable and efficient bridge monitoring system, we use the distance coefficient-effective independent algorithm to optimize. Then, we calculate the relevant information of the strain environment with the help of a neural network model, strengthen the training of deep learning through the YOLOv5s model, and improve the task scheduling strategy of attention concentration. Through that, we solve the problem of embedded systems with relatively low computing power. Different weights are assigned to each fused feature map, and the nodes at the highest level and the lowest level are deleted so that a concise and efficient lightweight network model is constructed. Multiple iterations are performed to achieve deeper feature fusion. Therefore, the complexity of the model is effectively reduced, and the monitoring performance can be effectively improved. Finally, through the experimental analysis, it is proved that compared with the traditional fusion model, the number of parameters of the improved fusion network structure in bridge health monitoring is reduced by 7.37%. The detection speed is increased by 18.2%. The amount of computation is reduced by 42.92%, and the average detection accuracy is required to reach 95.33%. It is verified that the proposed method can effectively improve the accuracy and risk control ability of the detection data by learning from the samples with small labels. It also has great practical significance and market value for the design and optimization of the bridge health monitoring system, which is suitable for the monitoring data of large-scale construction projects.
{"title":"Data Processing of Bridge IoT Monitoring Based on Task Scheduling of Cloud Service Listening Signal","authors":"Tao Yang, Rui Li, Chengjun Li","doi":"10.1142/s0129156424400160","DOIUrl":"https://doi.org/10.1142/s0129156424400160","url":null,"abstract":"For the long-term continuous monitoring of bridge-related indicators, it is necessary to arrange relatively perfect acquisition equipment on the bridge, which can feedback various information parameters of the bridge. However, there are many parameters to feedback the bridge information, which leads to the complex and overstaffed structure of the monitoring system. Furthermore, the huge amount of data collected and the complex calculation process also increase the difficulty of the operation of the monitoring system. In this regard, we should choose more scientific and reasonable indicators, lightweight data structure, stable data transmission, and analysis programs to improve the accuracy of continuous monitoring. To establish a stable and efficient bridge monitoring system, we use the distance coefficient-effective independent algorithm to optimize. Then, we calculate the relevant information of the strain environment with the help of a neural network model, strengthen the training of deep learning through the YOLOv5s model, and improve the task scheduling strategy of attention concentration. Through that, we solve the problem of embedded systems with relatively low computing power. Different weights are assigned to each fused feature map, and the nodes at the highest level and the lowest level are deleted so that a concise and efficient lightweight network model is constructed. Multiple iterations are performed to achieve deeper feature fusion. Therefore, the complexity of the model is effectively reduced, and the monitoring performance can be effectively improved. Finally, through the experimental analysis, it is proved that compared with the traditional fusion model, the number of parameters of the improved fusion network structure in bridge health monitoring is reduced by 7.37%. The detection speed is increased by 18.2%. The amount of computation is reduced by 42.92%, and the average detection accuracy is required to reach 95.33%. It is verified that the proposed method can effectively improve the accuracy and risk control ability of the detection data by learning from the samples with small labels. It also has great practical significance and market value for the design and optimization of the bridge health monitoring system, which is suitable for the monitoring data of large-scale construction projects.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":"124 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819918","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 : 2024-07-17DOI: 10.1142/s0129156424400822
Liang Tang
Objective: In practical application, an SCM control system needs to respond to user instructions quickly and accurately, and at the same time needs to have robustness and adaptability to adapt to complex and changeable environments and working states. Therefore, how to improve the control accuracy and stability of SCM control systems, and how to adapt to the change of different working environments and working states, has become one of the important issues in the design and research of SCM control systems. Methods: Adaptive fuzzy algorithm, as a new control algorithm, has the advantages of simple structure, easy implementation and high precision, and has been widely used in many fields. On the basis of three kinds of fuzzy logic system framework, this paper analyzes the self-adaptive fuzzy algorithm single-chip microcomputer control system and carries on the corresponding performance test of the system by constructing an intelligent car. The testability test of single-chip microcomputer detection, hardware detection, algorithm recognition rate and system control rate is tested, respectively, to ensure the normal operation of the system. Conclusion: The microcontroller control system of fuzzy algorithm system is compared with that of traditional algorithm system in many aspects. The average error rate of the traditional algorithm system is 2%, while the average error rate of the fuzzy algorithm system is 0.8%. In other aspects, the fuzzy algorithm system is superior to the traditional system. For example, the fuzzy algorithm system has a 100% instruction recognition rate and a data processing speed of up to 1 second. According to the characteristics and requirements of the single-chip microcomputer control system, applying the adaptive fuzzy algorithm to the design of a single-chip microcomputer control system can effectively improve the control precision and stability of thesystem.
{"title":"Application of Adaptive Fuzzy Algorithm in Single-Chip Microcomputer Control System","authors":"Liang Tang","doi":"10.1142/s0129156424400822","DOIUrl":"https://doi.org/10.1142/s0129156424400822","url":null,"abstract":"Objective: In practical application, an SCM control system needs to respond to user instructions quickly and accurately, and at the same time needs to have robustness and adaptability to adapt to complex and changeable environments and working states. Therefore, how to improve the control accuracy and stability of SCM control systems, and how to adapt to the change of different working environments and working states, has become one of the important issues in the design and research of SCM control systems. Methods: Adaptive fuzzy algorithm, as a new control algorithm, has the advantages of simple structure, easy implementation and high precision, and has been widely used in many fields. On the basis of three kinds of fuzzy logic system framework, this paper analyzes the self-adaptive fuzzy algorithm single-chip microcomputer control system and carries on the corresponding performance test of the system by constructing an intelligent car. The testability test of single-chip microcomputer detection, hardware detection, algorithm recognition rate and system control rate is tested, respectively, to ensure the normal operation of the system. Conclusion: The microcontroller control system of fuzzy algorithm system is compared with that of traditional algorithm system in many aspects. The average error rate of the traditional algorithm system is 2%, while the average error rate of the fuzzy algorithm system is 0.8%. In other aspects, the fuzzy algorithm system is superior to the traditional system. For example, the fuzzy algorithm system has a 100% instruction recognition rate and a data processing speed of up to 1 second. According to the characteristics and requirements of the single-chip microcomputer control system, applying the adaptive fuzzy algorithm to the design of a single-chip microcomputer control system can effectively improve the control precision and stability of thesystem.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828000","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 : 2024-07-17DOI: 10.1142/s0129156424400627
A. Legassey, A. Fleming, L. Dagostino, T. Bliznakov, R. Gudlavalleti, J. Kondo, F. Papadimitrakopoulos, F. Jain
This paper presents the characterization and testing of electrochemical sensor using microfluidic system. Various geometric patterns were laser cut into the platinum working electrode of a biosensor. In this work, a microfluidic chamber was designed that allows phosphate buffer solution (PBS) to flow across the sensor, using a peristaltic pump, while varying the concentration of hydrogen peroxide. The amperometric characterization of the electrochemical sensor with 25, 50, 75, and 100[Formula: see text][Formula: see text]m perforation and 75[Formula: see text][Formula: see text]m spacing showed the highest sensitivity. This result was to be expected the purpose of patterning the sensors was to provide a 3-dimensional structure to the planar electrode in order for the enzyme, glucose oxidase, to be immobilized. Future work will include selecting one of the patterns for immobilization of glucose oxidase allowing us to realize a fully functional glucose sensor.
{"title":"Evaluation of Electrochemical Sensor Using Microfluidic System","authors":"A. Legassey, A. Fleming, L. Dagostino, T. Bliznakov, R. Gudlavalleti, J. Kondo, F. Papadimitrakopoulos, F. Jain","doi":"10.1142/s0129156424400627","DOIUrl":"https://doi.org/10.1142/s0129156424400627","url":null,"abstract":"This paper presents the characterization and testing of electrochemical sensor using microfluidic system. Various geometric patterns were laser cut into the platinum working electrode of a biosensor. In this work, a microfluidic chamber was designed that allows phosphate buffer solution (PBS) to flow across the sensor, using a peristaltic pump, while varying the concentration of hydrogen peroxide. The amperometric characterization of the electrochemical sensor with 25, 50, 75, and 100[Formula: see text][Formula: see text]m perforation and 75[Formula: see text][Formula: see text]m spacing showed the highest sensitivity. This result was to be expected the purpose of patterning the sensors was to provide a 3-dimensional structure to the planar electrode in order for the enzyme, glucose oxidase, to be immobilized. Future work will include selecting one of the patterns for immobilization of glucose oxidase allowing us to realize a fully functional glucose sensor.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":" 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141830222","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 : 2024-07-17DOI: 10.1142/s0129156424400895
Qin Yang
In the Internet of Things era, more intelligent systems can communicate with each other. Embedded system combined with network communication applications has become the basis for Internet of Things research. The programmable logic unit designed by ARM architecture has great advantages in running speed, power control and so on. In the paper, to solve the problems of common embedded MCU control resources occupying a large amount of memory and the slow speed of building engineering simulation model, it is necessary to use the queuing connection algorithm model to directly input the timing physical characteristics of the code stream in the embedded system to calculate and match the timing physical characteristics of the output code stream. The optimization algorithm of DTF-MARTE to detect the probability of timing deviation is used in the paper. It is to detect the problem of inaccurate timing information in the demand. We compare the expected physical characteristics of the timing sequence and obtain the timing deviation probability of the output data stream. The model developed in this paper has the characteristic of dynamic reconfiguration of the task interval. The design of monotonically decreasing data tasks can be realized, and the reconfigured task modules are used for interacting the data buffer area and dynamically reconstructing the instruction overhead and transmission. We analyze the performance comparison between the proposed model and the traditional communication connection model. It proves that the proposed model can further improve the priority queue and guide the data flow. According to that method, the problem of asynchronous spatial data interaction by controlling and combining different communication modes in a large scene can be solved. Data interaction can be triggered at a fixed time, and mutual interference of randomly triggered wireless communication and data acquisition modules can be avoided. It can solve the problem of insufficient computing power when future embedded devices need massive data encryption in the Internet of Things era, and provide a new way of thinking for fast, safe and efficient implementation.
在物联网时代，更多的智能系统可以相互通信。嵌入式系统结合网络通信应用已成为物联网研究的基础。采用 ARM 架构设计的可编程逻辑单元在运行速度、功耗控制等方面具有很大的优势。本文针对普通嵌入式单片机控制资源占用内存大、建立工程仿真模型速度慢等问题，采用队列连接算法模型，直接输入嵌入式系统中代码流的时序物理特性，计算并匹配输出代码流的时序物理特性。本文采用了 DTF-MARTE 检测时序偏差概率的优化算法。这是为了检测需求中时序信息不准确的问题。我们比较时序的预期物理特性，得出输出数据流的时序偏差概率。本文开发的模型具有动态重新配置任务间隔的特点。可以实现单调递减数据任务的设计，并利用重新配置后的任务模块交互数据缓冲区，动态重构指令开销和传输。我们分析了所提模型与传统通信连接模型的性能对比。结果证明，所提出的模型能进一步改善优先队列并引导数据流。根据该方法，通过控制和组合大场景中的不同通信模式，可以解决异步空间数据交互问题。数据交互可以在固定的时间触发，避免了随机触发的无线通信模块和数据采集模块之间的相互干扰。可以解决未来物联网时代嵌入式设备需要海量数据加密时计算能力不足的问题，为快速、安全、高效地实现提供了新的思路。
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Pub Date : 2024-07-17DOI: 10.1142/s0129156424400573
Shunyao Fan, Niloy K. Dutta
We propose schemes for binary adder, subtractor and parity checker using optical logic gates. These schemes could be useful for calculations using optical systems. Utilizing optical logic gates, we can achieve functions of binary adder, subtractor and parity checker of high-speed optical signals. Due to two-photon absorption in the wetting layer, quantum dot-semiconductor optical amplifier Mach-Zehnder interferometer (QD-SOA-MZI) can work as high data rate optical logic gates. The simulated result supports the idea that it is possible to realize all-optical binary adder, subtractor and parity checker at high optical signal rates.
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