检索结果-内蒙古大学图书馆

Symposium on Integrated Circuits and Systems Design (SBCCI)

作者： Vanessa F. de Lima Rodrigo Ataide Sergio Bampi Hamilton Klimach Microelectronics Graduate Program UFRGS Porto Alegre RS Brazil Informatics Institute UFRGS Porto Alegre RS Brazil Electrical Engineering Department UFRGS Porto Alegre RS Brazil

ISBN: (数字)9781728196251

ISBN: (纸本)9781728196268

This work presents the analysis, design, and performance evaluation of three usual CMOS proportional to absolute temperature (PTAT) voltage generators, with emphasis on variability effects. Minimization or compensation of the main error sources, such as fabrication variability and intrinsic non-linearities, is an important design challenge required to increase the precision and robustness of a voltage reference. The CMOS PTAT topologies are analytically described and design methodologies for PTAT circuits in subthreshold are presented. The compromises between design conditions and resulting performance are evaluated through simulation for these three PTAT generators, including linearity with temperature, temperature coefficient (TC), and variability impact. Monte-Carlo simulations demonstrated the sensitivity of each topology to fabrication variability, showing that the self-cascode MOSFET structure presents the best accuracy of TC, nominal PTAT voltage, and linearity with temperature.

关键词： Topology Generators MOSFET Temperature sensors Integrated circuit modeling Threshold voltage Semiconductor device modeling

来源：评论

学校读者我要写书评

暂无评论

Constructing a Segmentation Model for Patients with Leukoaraiosis Using Deep Learning Algorithms 24

Constructing a Segmentation Model for Patients with Leukoara...

引用

8th International Conference on Medical and Health informatics, ICMHI 2024

作者： Lo, Li-Ting Tsai, Yi-Chia Chang, Yi-Jou Ting, Hsien-Wei Chien, Ting-Ying Department of Computer Science and Engineering Yuan Ze University Taoyuan City Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan Department of Neurosurgery Taipei Hospital Ministry of Health and Welfare New Taipei City242 Taiwan Innovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan City Taiwan

ISBN: (纸本)9798400716874

Many patients with leukoaraiosis (LA) exhibit mild and difficult-to-detect symptoms in the early stages, and due to the lack of effective detection methods, the optimal timing for treatment is often missed. This not only makes later treatment more difficult but, in severe cases, can even lead to mild to severe dementia. Therefore, in addition to relying on radiologists to manually interpret magnetic resonance imaging (MRI) scans, finding more effective detection methods has become extremely urgent. This study aimed to combine image processing and deep learning technologies to develop a model capable of accurately identifying and segmenting white matter hyperintensities (WMHs) to assist doctors in the early diagnosis of LA. We first performed efficient preprocessing on MR image slices from two different series and used the ResNet18 model to identify key slices containing WMHs, ultimately achieving precise segmentation of WMH areas with the U-Net model. This research focused on developing innovative preprocessing techniques, improving the accuracy by 12.3% with a limited dataset through preprocessing. Ultimately, the ResNet18 model achieved an F1 score of 0.829, while the U-Net model’s intersection over union (IoU) and Dice coefficient reached 0.750 and 0.857, respectively, showing the potential of this architecture. We propose improvements in the final chapter to construct a more comprehensive model. © 2024 Copyright ACM.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Comparing Classification Algorithms to Analyze Twitter Sentiment on Public Opinion on Fuel Oil 24

Comparing Classification Algorithms to Analyze Twitter Senti...

引用

24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023

作者： Widarma, Gita Novita, Rice Mustakim Rozanda, Nesdi Evrilyan Universitas Islam Negeri Sultan Syarif Kasim Riau Graduate Program Information Systems Department Pekanbaru Indonesia Postgraduate Programs Universitas Negeri Padang Information Systems Pekanbaru Indonesia Postgraduate Programs Institut Pertanian Bogor Master of Informatics Engineering Pekanbaru Indonesia Postgraduate Programs Universiti Teknologi Malaysia Master of Information Systems Management Pekanbaru Indonesia

ISBN: (纸本)9798350313956

Twitter is currently used as one of the applications that is often used to convey opinions or unrest by the public such as the current issue that is currently rife, namely regarding the increase in fuel oil prices (BBM) in Indonesia. With so much data scattered in a tweet that only consists of a few fragments of words, there must be valuable information or meaning that Twitter users want to convey. Text mining is a very appropriate method to do the analysis because in text mining there is a method that focuses on an opinion which will be concluded into positive and negative opinions. There are several algorithms that are most often used in data mining, namely K-Nearest Neighbor, Decision Tree, and Naive Bayes. The three algorithms used in this study were also compared with the use of feature selection Particle Swarm Optimization (PSO) which is well known for improving the performance of algorithms. There are 2165 negative opinion data and 2835 positive sentiment data. The data will be tried based on distinctive sums of data namely 1000 data, 3000 data, and 5000 data. The classic K-Nearest Neighbor algorithm obtained an accuracy result of 75.60% and made it the best when tested with 1000 data. The use of Particle Swarm Optimization (PSO) is proven to improve accuracy as when tested using 3000 data with an accuracy value of 78.21% on the K-Nearest Neighbor algorithm. In the mean time, in testing 5000 Data, the classic K-Nearest Neighbor once more gotten the most elevated exactness with a esteem of 74.02%. © 2023 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Resilient control of a decision support system for emergency simulation at nuclear power plant

Resilient control of a decision support system for emergency...

引用

International Conference on Computer Supported Cooperative Work in Design

作者： Fernanda Bruno dos Santos Ana Carolina Gama e Silva Assaife Marcos Roberto da Silva Borges José Orlando Gomes Paulo Victor Rodigues de Carvalho Graduate Program in Informatics Federal University of Rio de Janeiro Rio de Janeiro Brazil Nuclear Engineering Institute National Commission of Nuclear Energy Rio de Janeiro Brazil

Simulation of accidents at nuclear power plant is designed to anticipate problems and unexpected situations. In a accident a large volume of information arrives disorderly and demands that decisions be taken quickly under pressure. This context asks for a system that supports decisions made jointly by the agencies responsible for the containment of the accident which has occurred. In order to study the emergency response process, we analyze the video and audio recordings of a simulated accident at a nuclear power plant in Brazil with the purpose of identifying cognitive requirements to build a future decision support system. In this work, we applied the methodology Applied Cognitive Work Analysis (ACWA), which was created with the objective of integrating the Cognitive Task Design and Software engineering for the development of decision support systems.

关键词： Accidents Decision support systems Power generation Resilience Monitoring Analytical models Context

来源：评论

学校读者我要写书评

暂无评论

Using AIRS hyperspectral observations to optimize dust refractive index in infrared spectrum

Using AIRS hyperspectral observations to optimize dust refra...

引用

Hyperspectral Imaging and Sounding of the Environment, HISE 2019 - Part of Optical Sensors and Sensing Congress

作者： Wang, Yi Wang, Jun Xu, Xiaoguang Interdisciplinary Graduate Program in Informatics University of Iowa Iowa CityIA52242 United States Department of Chemical and Biochemical Engineering Center for Global and Regional Environmental Research University of Iowa Iowa CityIA52242 United States Joint Center for Earth Systems Technology University of Maryland College Park Baltimore County BaltimoreMD21250 United States

Climate models lack accurate dust refractive index measurements for estimating radiative forcing. AIRS hyperspectral observations are used to optimize dust refractive index in infrared spectrum through integration of ... 详细信息

ISBN: (纸本)9781943580613

关键词： Dust

来源：评论

学校读者我要写书评

暂无评论

Rainfall forecasting using PSPline and rice production with ocean-atmosphere interaction 2

Rainfall forecasting using PSPline and rice production with ...

引用

2nd International Conference on Eco engineering Development 2018, ICEED 2018

作者： Caraka, Rezzy Eko Supatmanto, Budi Darmawan Tahmid, Muhammad Soebagyo, Joko Mauludin, M. Ali Iskandar, Akbar Pardamean, Bens Bina Nusantara University Jakarta11480 Indonesia Indonesia Indonesia Agency for Meteorology Climatology and Geophysics Indonesia College of Technology Wastukancana Purwakarta Indonesia Laboratory of Sociology and Extension Padjadjaran University Indonesia Informatics Engineering STMIK AKBA Makassar Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

The role of climate can be affected by plants. The weather can accelerate and multiply the existence of various plant pests and diseases, accelerate the growth and development of grass among plants, and encourage the emergence of infection and significant damage to plants. The elements of climate that affect the growth of plants are one of them is rainfall. In this paper, we performed the simulation using the non-parametric penalized spline (PSPLINE) method and studied the effect on rice production in Lampung. It can be concluded that the increasing fluctuation, frequency, and intensity of climate anomalies in the last decade caused by the ENSO phenomenon have an impact on changes in distribution patterns, intensity, and period of the wet season so that the start of the rainy season and the dry season becomes too late. As a result, there is a seasonal shift from normal average conditions that can ultimately have severe implications for food crops. In a nutshell penalized spline gives high accuracy with R 2 = 96.227% and MAPE = 1.62%. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Rain

来源：评论

学校读者我要写书评

暂无评论

Effect of Movement on Positioning Accuracy in a Transponder-based Acoustical Positioning

Effect of Movement on Positioning Accuracy in a Transponder-...

引用

Regional Conference on Acoustics and Vibration 2017, RECAV 2017

作者： Iwaya, Hirokazu Ogiso, Satoki Mizutani, Koichi Ebihara, Tadashi Wakatsuki, Naoto Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan Ph. D. Program in Empowerment Informatics School of Integrative and Global Majors University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan Faculty of Engineering Information and Systems University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan

A transponder-based positioning method using audible sounds for a large-scale area positioning has been proposed by the authors. The proposed method has two characteristics;it employs audible sounds instead of ultrasounds to measure long distance by using audible sounds, and it achieves positioning without clock synchronization among devices which is required additional equipment such as radio wave. However, positioning of the moving object (terminal) is still challenging because the proposed method requires longer measurement time than other methods since it measures the round-trip time of flight (TOF) among the terminal and the anchors (transponders). In this paper, we evaluated the effect of the terminal movement on positioning in simulations and experiments. From simulations and experimental results, it was found that the effect of Doppler and the terminal movement cause random error and offset in TOF/distance, respectively. Consequently, it was found that our proposed method is sensitive to the terminal movement. © Published under licence by IOP Publishing Ltd.

关键词： Transponders

来源：评论

学校读者我要写书评

暂无评论

Model Technology Service E-Participation - Voting (E-PV) for Political Communication between the Council of Regional Representatives (DPRD) and the Citizens Using the Framework Information Technology Infrastructure Library (ITIL V.3) Transition Domain Service 7

Model Technology Service E-Participation - Voting (E-PV) for...

引用

7th International Conference on ICT for Smart Society, ICISS 2020

作者： Hilabi, Shofa Shofiah Harso Supangat, Suhono Hendric Spits Warnars, Harco Leslie Prabowo, Harjanto Mursitama, Tirta Nugraha Universitas Buana Perjuangan Faculty of Engineering and Computer Science Karawang Indonesia Institute of Technology Bandung School of Electrical Engineering and Informatics Bandung Indonesia Nusantara University Doctor of Computer Science Bina Computer Science Department BINUS Graduate Program Jakarta11530 Indonesia Bina Nusantara University Doctor of Computer Science Jakarta11530 Indonesia Bina Nusantara University Faculty of Humanities International Relations Department Jakarta11480 Indonesia

ISBN: (纸本)9781665404228

E-voting is an electronic voting information technology service, while E-participation is an information technology service for citizens of the public to provide reports, polls, or suggestions on government policies electronically. The Technology Services E-Participation-VOT (EPV) model is a combined E-Participation and E-Voting service model. The concept of this service model is that citizens transform from E-participation and E-voting services into an EPV model. The purpose of this model is to provide information to participants (citizens) about online-based voting services. This method of developing the EP-Voting Anticipation (EPV) technology model uses agile methods that are effective and flexible in various cases of designing Information Technology models for Information Technology (IT) services that apply a Framework Information Technology Infrastructure Library (ITIL). The results obtained from this study are an Information Technology service system model that provides recommendations for participation in conducting electronic elections (E-Voting). © 2020 IEEE.

关键词： Surveys

来源：评论

学校读者我要写书评

暂无评论

Stochastic color image segmentation using spatial constraints

Stochastic color image segmentation using spatial constraint...

引用

IEEE Instrumentation and Measurement Technology Conference

作者： Dionicio Vásquez Jacob Scharcanski Alexander Wong Institute of Informatics Federal University of Rio Grande do Sul - UFRGS Porto Alegre Brazil Institute of Informatics and Graduate Program on Electrical Engineering Federal University of Rio Grande do Sul - UFRGS Porto Alegre Brazil Department of Systems Design Engineering University of Waterloo Waterloo Canada

ISBN: (纸本)9781479961153

This paper describes an automated method for segmenting color images based on a modified stochastic region merging strategy with multi-scale spatial constraints. First, a bilateral decomposition is performed, and an over-segmentation process is then performed based multichannel information and multi-scale gradients. Next, each sub-region is represented using a normalized color histogram in the CIE L*a*b* color space, and a region adjacency graph is constructed based on the over-segmentation results. Finally, a stochastic region merging strategy with spatial constraints is performed on the region adjacency graph to construct one segmentation map for each scale of representation. Our preliminary visual and quantitative experimental results on the Berkeley image database (BSDS500) are encouraging, and suggest that our proposed approach can provide accurate segmentation results.

关键词： Image segmentation Merging Image color analysis Color Image edge detection Histograms Visualization

来源：评论

学校读者我要写书评

暂无评论

Analysis of the Brazilian Climate Data Influence on Soybean Pricing by Using Long Short-Term Memory Models

SSRN

引用

SSRN 2024年

作者： Oliva, Jefferson Tales Martelli, Otávio Pigozzo de Castro Barbosa, Marco Antônio Dal Molin, Viviane Casanova, Dalcimar Teixeira, Marcelo Graduate Program in Electrical and Computer Engineering Federal University of Technology-Paraná PR Pato Branco85503-390 Brazil Department of Academic Informatics Federal University of Technology-Paraná PR Pato Branco85503-390 Brazil Graduate Program in Production and Systems Engineering Federal University of Technology-Paraná PR Pato Branco85503-390 Brazil

This work uses machine learning to verify whether the Brazilian climate influences international soybean price prediction. For this, climatic data, dollar quotes, inflation, and annual soybean production were collected from different data sources. Then, the collected data were pre-processed and grouped by Brazilian state. Afterward, data from the five most productive Brazilian states are chosen, such as Mato Grosso (MT), Mato Grosso do Sul (MS), Goiás (GO), Paraná (PR), and Rio Grande do Sul (RS). Afterward, predictive models are built using the long short-term memory (LSTM) method, which is applied in each chosen state dataset considering two different settings: with and without climatic data. Thus, two models were built for each Brazilian state, totaling ten predictors. In the experimental evaluation, when trained with climatic data, the PR model achieved the lowest values of root mean squared error (RMSE) and mean absolute error (MAE). Regarding predictors trained without climate data, the RS and PR obtained the lowest values of RMSE and MAE, respectively. After conducting statistical hypothesis tests, no significant difference was found among models, stating, with 95% certainty, that, in this study, the Brazilian climatic data did not influence the model performance for predicting soybean prices. On the other hand, one of the main contributions of work is conducting an unprecedented study about soybean price prediction using Brazilian climatic data. © 2024, The Authors. All rights reserved.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：