2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)最新文献_第9页

Slew Rate Calibration Method for High Speed Systems 高速系统摆速标定方法

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9872899

Arsen Hekimyan, G. Travajyan, Karen Melikyan

{"title":"Slew Rate Calibration Method for High Speed Systems","authors":"Arsen Hekimyan, G. Travajyan, Karen Melikyan","doi":"10.1109/ICECET55527.2022.9872899","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872899","url":null,"abstract":"The slew rate calibration method for high speed systems is presented. In high-speed systems driver output slew rates variation becomes significant. This variation impact on overall system stability and timing closers. The proposed method calibrates slew rate of output in systems to provide equals rise/fall slew rates to improve performance and avoid functional fails. Slew rate of system changes over process voltage temperature (PVT) and having fixed one slew rate code may cause slew rate mismatch. The slew rate mismatch is critical in many systems such as Double Data Rate (DDR). As DDR signal applies to SDRAM (chip to chip) so slew rate mismatch can cause functional fail after transmission line. The proposed slew rate calibration method also decreases TX jitter. Fixing slew rate mismatch inter-symbol interference (ISI) effect on TX signal decrease which causes low jitter. The proposed architecture can be used in high speed systems where data rates are 4Gbps or higher. Modern high-speed serial links require slew rate calibration and proposed method can be used in special input/output circuits of several standards such as (DDR), Universal Serial Bus (USB) and Peripheral Component Interconnect (PCI).","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"30 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121009325","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

Predicting Drug-Target Interaction (DTI) based on Machine Learning with Lasso Dimensionality Reduction and SMOTE from Protein Sequence and Drug Fingerprint 基于Lasso降维和SMOTE的机器学习预测药物-靶标相互作用(DTI

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9873060

Maria Theresa F. Calangian, V. P. Magboo

{"title":"Predicting Drug-Target Interaction (DTI) based on Machine Learning with Lasso Dimensionality Reduction and SMOTE from Protein Sequence and Drug Fingerprint","authors":"Maria Theresa F. Calangian, V. P. Magboo","doi":"10.1109/ICECET55527.2022.9873060","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9873060","url":null,"abstract":"The identification of Drug-Target Interaction (DTI) is an important process in pharmaceutical scientific research to develop new therapeutic agents for diseases. However, experimental methods involving identification of DTIs are time-consuming, expensive, and challenging. Computational methods that can accurately predict DTI pairs are of great interest because they can significantly reduce time and resources in drug discovery and research. This study presents a machine-learning-based model named, kNN-DTIPred, for DTI prediction that addresses two common problems of datasets: high-dimensionality and class imbalance. First, target protein feature vectors are extracted using Pseudo-Position Specific Scoring Matrix (PsePSSM). Using OpenBabel software, drug compounds are represented using FP2 Molecular Fingerprint. Lasso Dimensionality Reduction is then used to obtain only the most discriminating features while SMOTE is applied for class balancing. Five machine learning models were compared on 4 datasets. The best model was obtained by k-Nearest Neighbors classifier with overall prediction accuracy 98.23%, 94.77%, 95.07%, and 93.09% for enzymes, ion channel, G protein-coupled receptors and nuclear receptor datasets respectively. The area under the curve reached 97.05%, 95.95%, 94.89%, and 94.29%, respectively for the datasets mentioned. Additionally, our results showed that Lasso Dimensionality Reduction and SMOTE have significantly improved the predictive performance. This study has demonstrated that the proposed kNN-DTIPred model is highly accurate and effective in predicting drug-target pairs which can accelerate the DTI identification process by limiting the search space to be investigated in laboratory experiments.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125000471","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

Computational Fluid Dynamics Modeling of a Pneumatic Air Jet Nozzle for an application in Coffee Fruit Harvesting 咖啡果实采收用气动喷嘴的计算流体动力学建模

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9872877

C. I. Cardona, H. A. Tinoco, Luis Perdomo-Hurtado, Eduardo Duque‐Dussán, Jan Banout

{"title":"Computational Fluid Dynamics Modeling of a Pneumatic Air Jet Nozzle for an application in Coffee Fruit Harvesting","authors":"C. I. Cardona, H. A. Tinoco, Luis Perdomo-Hurtado, Eduardo Duque‐Dussán, Jan Banout","doi":"10.1109/ICECET55527.2022.9872877","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872877","url":null,"abstract":"This study deals with the design of a pneumatic air-jet nozzle for coffee fruits harvesting purposes. In steady-state conditions, a CFD finite element model was implemented to validate the nozzle design. We studied variations in the cavity length and outlet diameter of the nozzle under 5 bar of pressure and 140 Lt/min of caudal flow. Using additive manufacturing, three prototypes of the nozzles were created in onyx material. In addition, a pneumatic assembly was built by integrating a nozzle with a solenoid electro valve that allowed air to be discharged from a compressor. Using a high-speed video camera, we conducted an experiment to understand the air jet morphometry of each nozzle. The electro valve was operated at 42 Hz and the operating conditions were chosen based on simulations. CFD-derived velocity was compared with the filmed jets from the experiments to illustrate its turbulence. The results were analyzed in terms of their capacity to produce punctual impacts on coffee fruits Coffea Arabica L. var Castillo. The results of this study suggest that future studies could be conducted to investigate the impact capacity of pneumatic air-jet nozzles on coffee fruit excitation in terms of vibrational measurements.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125237497","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

Designing And Implementing A High-Performance Computing Heterogeneous Cluster 高性能计算异构集群的设计与实现

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9872709

G. Barone, D. Bottalico, L. Carracciuolo, A. Doria, Davide Michelino, S. Pardi, G. Russo, G. Sabella, B. Spisso

{"title":"Designing And Implementing A High-Performance Computing Heterogeneous Cluster","authors":"G. Barone, D. Bottalico, L. Carracciuolo, A. Doria, Davide Michelino, S. Pardi, G. Russo, G. Sabella, B. Spisso","doi":"10.1109/ICECET55527.2022.9872709","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872709","url":null,"abstract":"We present a new hybrid cluster, characterized by heterogeneous resources, set up in the Federico II University of Naples Data Center, funded by the IBiSCo (Infrastructure for BIg data and Scientific COmputing) project. It aims at big data analytics, high throughput and high performance processing, image processing and analysis. The purpose of the hybrid features is to guarantee the best use of resources for their applications in different scenario, so as to profit from different computational paradigms: from parallel computing to GPGPU accelerated workload and their combinations. The cluster provides 128 GPUs as well as the coexistence of technologies for High Throughput Computing (HTC) and High Performance Computing (HPC). To offer heterogeneous resources, cluster nodes have multiple network connections together with an NVLink bus between the GPUs on each node, which ensures more efficient intranode communication. The data storage is separated from the computing nodes and its efficient access is assured by Lustre distributed and parallel file system which leverages on Infini-Band technology. Our work should be useful to evaluate some promising technologies for the management and the efficient usage of computing resources under development within different Exascale Computing Projects.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"59 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114014902","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

A Low-Power 2-to-7 Modulus Programmable Prescaler with 50% Output Duty Cycle 具有50%输出占空比的低功耗2至7模可编程预分频器

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9873078

Ravi Kumar, R. Nagulapalli, Rushikesh Hake, S. Vishvakarma

引用次数: 0

FPGA Implementation and Comparison of Sigmoid and Hyperbolic Tangent Activation Functions in an Artificial Neural Network 人工神经网络中s型和双曲正切激活函数的FPGA实现及比较

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9873085

A. Vaisnav, Sandhya Ashok, Shatharajupally Vinaykumar, R. Thilagavathy

引用次数: 1

ICECET 2022 Presenters & Countries List ICECET 2022演讲者和国家名单

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/icecet55527.2022.9872946

引用次数: 0

Short-Term Collision Estimation by Stochastic Predictions in Multi-Agent Intersection Traffic 基于随机预测的多智能体交叉口交通短时碰撞估计

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9872913

Alexander L. Gratzer, A. Schirrer, Elvira Thonhofer, Faruk Pasic, S. Jakubek, C. Mecklenbräuker

{"title":"Short-Term Collision Estimation by Stochastic Predictions in Multi-Agent Intersection Traffic","authors":"Alexander L. Gratzer, A. Schirrer, Elvira Thonhofer, Faruk Pasic, S. Jakubek, C. Mecklenbräuker","doi":"10.1109/ICECET55527.2022.9872913","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872913","url":null,"abstract":"Multi-agent modeling is suitable to simulate complex interaction dynamics of microscopic urban road traffic. Valuable motion predictions can systematically be generated and exchanged among the participants (agents) to study and quantity benefits of advanced V2X-communication, for example. However, such predictions are inherently uncertain which needs to be considered for traffic safety. This work proposes a stochastic motion prediction and evaluation approach suitable for multi-agent-based simulation and control. Dynamic occupancy probability grid maps are constructed, and their interpretation clearly shows the uncertainty generated by unknown road user intentions or traffic interactions. By formulating joint occupancy probability maps, a quantification of near-accident risk becomes possible which seems to be a promising tool to examine safety aspects in “non-critical” traffic situations. The studies are based on published naturalistic driving measurement data, and both data-based as well as model-based predictions are discussed.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134129177","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: 5

Use of digital technology in the architectural design process of a multi-family house in Independencia – Lima – Perú 2021 数字技术在利马Independencia多户住宅建筑设计过程中的应用- Perú 2021

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9872769

D. Esenarro, Joseph Sucasaca Callata, Pablo Cobeñas Nizama, Carmen Ruiz Huaman, Walter Morales Llanos, Alejandro Gomez Rios

{"title":"Use of digital technology in the architectural design process of a multi-family house in Independencia – Lima – Perú 2021","authors":"D. Esenarro, Joseph Sucasaca Callata, Pablo Cobeñas Nizama, Carmen Ruiz Huaman, Walter Morales Llanos, Alejandro Gomez Rios","doi":"10.1109/ICECET55527.2022.9872769","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872769","url":null,"abstract":"The objective of this research is to evaluate the use of digital technology (Rhinoceros-Grasshopper) in the architectural design process in a multifamily dwelling, the accelerated development of new digital technologies has changed the conception of computational design. The methodology used is a case study applying multi-objective digital tools for the simulation of different volumetric scenarios that allow obtaining quantitative information for decision-making, as a result, volumes are obtained adequately ventilated and protected from solar radiation on the hottest days of summer. and generation of adequate shadows in the living areas, in conclusion, the use of digital simulation tools such as the Rhinoceros-Grasshopper software is used efficiently in each stage of the project, and efficient results are especially evident in each space of a project since each stage of the design process it allows the corrections that are commonly made in the different stages of a housing project.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133103966","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

A CNN-based Attack Classification versus an AE-based Unsupervised Anomaly Detection for Intrusion Detection Systems 基于cnn的攻击分类与基于ae的入侵检测系统无监督异常检测

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) Pub Date : 2022-07-20 DOI: 10.1109/ICECET55527.2022.9873072

Jean Claude Joseph Badji, C. Diallo

引用次数: 3