Brad Means is seeking a machine operator position that offers growth potential. He has over 10 years of experience in manufacturing and is skilled in operating various machines including lathes, mills, and roll threading mills. He is currently enrolled in an Applied Science program at Tri-C and expects to graduate in January 2018. His resume highlights his extensive work history operating different types of machines and maintaining manufacturing equipment.
this presentation file lectured in international conference in new research of Electrical and engineering and computer science.
Abstract
This paper presents a novel and uniform algorithm for edge detection based on SVM (support vector machine) with Three-dimensional Gaussian radial basis function with kernel. Because of disadvantages in traditional edge detection such as inaccurate edge location, rough edge and careless on detect soft edge. The experimental results indicate how the SVM can detect edge in efficient way. The performance of the proposed algorithm is compared with existing methods, including Sobel and canny detectors. The results shows that this method is better than classical algorithm such as canny and Sobel detector.
ПЛОЩАДЬ / Общая площадь 99,6 m2
Темно-коричневый теплый пол и белые стены с еле уловимым золотистым перламутром. Яркие голубые акценты, и большое количество фотографий, картин с пейзажами и зарисовками. Мягкие полутона для двух ванных комнат выбраны согласно общей концепции интерьера.
This document discusses Ohio's Smart Mobility Initiative and Smart City Challenge. It envisions Ohio leading in smart mobility and city technologies, driving job growth in transportation. Key benefits are listed as safety, enhanced mobility for the elderly and disabled, support for urbanization, and environmental sustainability. Columbus, Ohio is proposed as an ideal test bed city due to its growth, multi-modal transportation infrastructure, workforce, and business environment. The proposal seeks $60 million in funding to implement initiatives around citizen, jobs, freight, tourist and green mobility with a focus on data.
Scott Shaffer is seeking a position that utilizes his strong organizational, management, and interpersonal skills. He has over 10 years of experience in restaurant, hospitality, and retail management. Most recently, he was General Manager of a celebrity chef-owned restaurant where he increased sales by 10% and managed a staff of 60 employees. Prior to that, he held several director-level positions with a large sightseeing company, where he oversaw retail operations, scheduling of 150 employees, and helped increase sales by over 15%. Shaffer has a Bachelor's degree in Hospitality Management and is highly motivated to help companies succeed and grow.
Este documento discute ética, diversidade e exercício profissional na enfermagem. Ele explica que a ética trata da análise do bem e do mal, enquanto a moral se refere às decisões individuais de como agir. Também descreve que a enfermagem possui um código de ética que estabelece direitos, responsabilidades e deveres dos profissionais. É essencial que enfermeiros apliquem padrões éticos no tratamento de pacientes com respeito e dignidade.
Fundamentos para projetar ecossistemas abrangentes, considerando todos os dispositivos, coisas, pessoas, animais e plantas envolvidas num determinado projeto.
Brad Means is seeking a machine operator position that offers growth potential. He has over 10 years of experience in manufacturing and is skilled in operating various machines including lathes, mills, and roll threading mills. He is currently enrolled in an Applied Science program at Tri-C and expects to graduate in January 2018. His resume highlights his extensive work history operating different types of machines and maintaining manufacturing equipment.
this presentation file lectured in international conference in new research of Electrical and engineering and computer science.
Abstract
This paper presents a novel and uniform algorithm for edge detection based on SVM (support vector machine) with Three-dimensional Gaussian radial basis function with kernel. Because of disadvantages in traditional edge detection such as inaccurate edge location, rough edge and careless on detect soft edge. The experimental results indicate how the SVM can detect edge in efficient way. The performance of the proposed algorithm is compared with existing methods, including Sobel and canny detectors. The results shows that this method is better than classical algorithm such as canny and Sobel detector.
ПЛОЩАДЬ / Общая площадь 99,6 m2
Темно-коричневый теплый пол и белые стены с еле уловимым золотистым перламутром. Яркие голубые акценты, и большое количество фотографий, картин с пейзажами и зарисовками. Мягкие полутона для двух ванных комнат выбраны согласно общей концепции интерьера.
This document discusses Ohio's Smart Mobility Initiative and Smart City Challenge. It envisions Ohio leading in smart mobility and city technologies, driving job growth in transportation. Key benefits are listed as safety, enhanced mobility for the elderly and disabled, support for urbanization, and environmental sustainability. Columbus, Ohio is proposed as an ideal test bed city due to its growth, multi-modal transportation infrastructure, workforce, and business environment. The proposal seeks $60 million in funding to implement initiatives around citizen, jobs, freight, tourist and green mobility with a focus on data.
Scott Shaffer is seeking a position that utilizes his strong organizational, management, and interpersonal skills. He has over 10 years of experience in restaurant, hospitality, and retail management. Most recently, he was General Manager of a celebrity chef-owned restaurant where he increased sales by 10% and managed a staff of 60 employees. Prior to that, he held several director-level positions with a large sightseeing company, where he oversaw retail operations, scheduling of 150 employees, and helped increase sales by over 15%. Shaffer has a Bachelor's degree in Hospitality Management and is highly motivated to help companies succeed and grow.
Este documento discute ética, diversidade e exercício profissional na enfermagem. Ele explica que a ética trata da análise do bem e do mal, enquanto a moral se refere às decisões individuais de como agir. Também descreve que a enfermagem possui um código de ética que estabelece direitos, responsabilidades e deveres dos profissionais. É essencial que enfermeiros apliquem padrões éticos no tratamento de pacientes com respeito e dignidade.
Fundamentos para projetar ecossistemas abrangentes, considerando todos os dispositivos, coisas, pessoas, animais e plantas envolvidas num determinado projeto.
Protocolo de atenção à saúde e resposta à ocorrência de microcefalia relacion...Centro Universitário Ages
Este Protocolo visa a nortear os profissionais da atenção à saúde, por meio de orientações e diretrizes para as ações de prevenção da infecção pelo vírus zika para a população em geral, com foco em mulheres em idade fértil e gestantes, para a atenção no pré-natal, no parto e no nascimento e para a assistência aos nascidos com microcefalia em todo o território nacional. Este instrumento só foi possível pelo empenho de profissionais das diversas áreas e departamentos do Ministério da Saúde, secretarias de saúde, pesquisadores e instituições em todo Brasil, que se uniram com o objetivo de direcionar as ações para o enfrentamento à microcefalia ligada ao vírus zika.
Atuação do enfermerio na visita domiciliar ao idoso demenciado acamadocarolinylimadocarmo
O documento descreve os papéis e responsabilidades do enfermeiro na visita domiciliar a idosos acamados com demência, incluindo avaliar as necessidades de cuidado, orientar a família, e garantir a continuidade dos cuidados.
This document discusses design methodologies and metadesign. It defines methodology as the critical study of methods from a theoretical perspective, while method refers to techniques used to achieve results. Design methodologies are based on worldview, theory, and experience. Agile methodology focuses on iterations and user dialogue. Metadesign involves designers redesigning their own processes to deal with new complex problems. It discusses abstraction levels, diagrams, parametric design, emergence, and criticisms of excessive formalization through technology. Alternative approaches like Arquitetura Livre emphasize informalization over formalization and multiple perspectives.
Design Expansivo: Contradições em atividades projetuais e seus potenciais de ...UTFPR
Este documento discute o conceito de "design expansivo" proposto por Yrjö Engeström e como contradições na atividade projetual podem se tornar contradições no espaço projetual e vice-versa. O autor realizou estudos de caso aplicando jogos e representações para mapear contradições e promover um processo projetual mais expansivo e inclusivo. Suas descobertas indicam que projetar com contradições é possível quando se adota abordagens mais abertas e participativas.
O ubercapitalismo, também conhecido como economia compartilhada, consumo colaborativo, é apresentado como um contexto para o design de negócios, uma abordagem humanista para criar novos negócios. Slides do programa de empreendedorismo PIBEP da PUCPR.
Presentation made for an elective course of my PhD at Technical University of Lisbon, regarding the use of digital tools in the product design methodology. @Lisbon, June, 2010.
--
Apresentação feita no âmbito de uma unidade curricular do curso de Doutoramento na FAUTL, tendo como objectivo explicar o uso das ferramentas digitais na metodologia de design de produto. @Lisboa, Junho de 2010.
Os indicadores demográficos mostram um aumento da expectativa de vida em diversos países, trazendo desafios relacionados ao envelhecimento populacional. É necessário adaptar os serviços de saúde para atender as necessidades dos idosos e promover qualidade de vida durante o envelhecimento. O documento recomenda obras que discutem o envelhecimento populacional e a valorização dos idosos na sociedade.
مفهوم وأهمية الاحتياجات التدريبية
أهداف الاحتياجات التدريبية
عناصر الاحتياجات التدريبية
أنواع الاحتياجات التدريبية
أساليب الاحتياجات التدريبية
الصعوبات التي تواجه الاحتياجات التدريبية
نگار پژوه :: شبیه سازی و طراحی بیهنه عملکرد یک بازوی ربات آتشنشان با نازل چند...Mojtaba Hasanlu
شبیه سازی و طراحی بیهنه عملکرد یک بازوی ربات آتشنشان با نازل چند جهته و دوران کامل
نگارپژوه
مرکز تخصصی شبیه سازی سیستم ها ی مهندسی مکانیک
http://www.negarpajooh.com
شما مستقیما و بدون واسطه با محقق در ارتباط هستید.
آیدی تلگرام :NegarPajoohProject
میتوانید سایر ویدیوهای نگار پژوه را در کانال زیر مشاهده نمایید.
https://t.me/engineeringsimulation
(بینایی ماشین متن باز) یک کتابخانه متن باز شامل بیش از صدها الگوریتم بهینه سازی شده به زبان C و ++C برای تحلیل تصویر و ویدیو است، که از زمان معرفی آن در سال ۱۹۹۹، به میزان زیادی از سوی جامعه محققین و توسعه دهندگان بینایی ماشین به عنوان ابزار توسعه پایه پذیرفته شده است.
سرفصل هایی که در این آموزش به آن پرداخته شده است:
درس یکم: مقدمه
درس دوم: کار با تصاویر
درس سوم: فیلترکردن تصاویر
درس چهارم: هیستوگرام
...
برای توضیحات بیشتر و تهیه این آموزش لطفا به لینک زیر مراجعه بفرمائید:
http://faradars.org/courses/fvimg9405
ماکروسکوپ چیست ؟ماکروسکوپ یک نرم افزار
مدیریت هوشمند تصاویر است که با تمامی دوربین های
تحت شبکه سازگاری داشته و منطبق بر استانداردهای
جهانی بهترین راه کارهارا در این خصوص ارایه می
نماید
ماکروسکوپ یک نرم افزار قدرتمند و قابل تغییر است که بهترین راه حل
پیشنهادی برای ضبط هر تعداد دوربین و رخداد را دارا بوده و امکانات
دیگری نیز دارد ...
http://macroscop.com/en/
Video mosaicing is the process of effectively expanding the visual field of view of a scene by combining several partially viewed images captured from the scene, in a single broad view. Video mosaicing has been an active research topic in the fields of video processing, computer vision, and computer graphics. It can be used in many different applications such as video compression, surveillance, and indexing. In a video mosaicing process, the video data is transformed from its sequential and redundant frame-based representation (in which the information about the scene is distributed upon many frames), to an explicit and compact scene-based representation.
Cell Segmentation of 2D Phase-Contrast Microscopy Images with Deep Learning Method
Published in: 2019 Medical Technologies Congress (TIPTEKNO)
DOI: 10.1109/TIPTEKNO.2019.8894978
Publisher: IEEE
Conference Location: Izmir, Turkey
Mreps efficient and flexible detection of tandem repeats in DNA
In this paper, we describe mreps, a powerful software tool for a fast identification of tandemly repeated structures in DNA sequences. mreps is able to identify all types of tandem repeats within a single run on a whole genomic sequence. It has a resolution parameter that allows the program to identify 'fuzzy' repeats.
Title: Deep Learning based Segmentation Pipeline for Label-Free Phase-Contrast Microscopy Images
THE 28th IEEE CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS
5 - 7 October 2020
Video Link: https://youtu.be/b5tGt6GMN9E
1) The document presents research on using deep neural networks and transfer learning to improve virtual screening for drug discovery.
2) The researchers trained protein family-specific models using the DenseNet architecture on different sized training sets and evaluated using transfer learning and fine-tuning.
3) The results showed that the protein family-specific models outperformed baseline models on standard evaluation metrics, highlighting both the importance of more target-specific models and the need for more data to train such models.
Protocolo de atenção à saúde e resposta à ocorrência de microcefalia relacion...Centro Universitário Ages
Este Protocolo visa a nortear os profissionais da atenção à saúde, por meio de orientações e diretrizes para as ações de prevenção da infecção pelo vírus zika para a população em geral, com foco em mulheres em idade fértil e gestantes, para a atenção no pré-natal, no parto e no nascimento e para a assistência aos nascidos com microcefalia em todo o território nacional. Este instrumento só foi possível pelo empenho de profissionais das diversas áreas e departamentos do Ministério da Saúde, secretarias de saúde, pesquisadores e instituições em todo Brasil, que se uniram com o objetivo de direcionar as ações para o enfrentamento à microcefalia ligada ao vírus zika.
Atuação do enfermerio na visita domiciliar ao idoso demenciado acamadocarolinylimadocarmo
O documento descreve os papéis e responsabilidades do enfermeiro na visita domiciliar a idosos acamados com demência, incluindo avaliar as necessidades de cuidado, orientar a família, e garantir a continuidade dos cuidados.
This document discusses design methodologies and metadesign. It defines methodology as the critical study of methods from a theoretical perspective, while method refers to techniques used to achieve results. Design methodologies are based on worldview, theory, and experience. Agile methodology focuses on iterations and user dialogue. Metadesign involves designers redesigning their own processes to deal with new complex problems. It discusses abstraction levels, diagrams, parametric design, emergence, and criticisms of excessive formalization through technology. Alternative approaches like Arquitetura Livre emphasize informalization over formalization and multiple perspectives.
Design Expansivo: Contradições em atividades projetuais e seus potenciais de ...UTFPR
Este documento discute o conceito de "design expansivo" proposto por Yrjö Engeström e como contradições na atividade projetual podem se tornar contradições no espaço projetual e vice-versa. O autor realizou estudos de caso aplicando jogos e representações para mapear contradições e promover um processo projetual mais expansivo e inclusivo. Suas descobertas indicam que projetar com contradições é possível quando se adota abordagens mais abertas e participativas.
O ubercapitalismo, também conhecido como economia compartilhada, consumo colaborativo, é apresentado como um contexto para o design de negócios, uma abordagem humanista para criar novos negócios. Slides do programa de empreendedorismo PIBEP da PUCPR.
Presentation made for an elective course of my PhD at Technical University of Lisbon, regarding the use of digital tools in the product design methodology. @Lisbon, June, 2010.
--
Apresentação feita no âmbito de uma unidade curricular do curso de Doutoramento na FAUTL, tendo como objectivo explicar o uso das ferramentas digitais na metodologia de design de produto. @Lisboa, Junho de 2010.
Os indicadores demográficos mostram um aumento da expectativa de vida em diversos países, trazendo desafios relacionados ao envelhecimento populacional. É necessário adaptar os serviços de saúde para atender as necessidades dos idosos e promover qualidade de vida durante o envelhecimento. O documento recomenda obras que discutem o envelhecimento populacional e a valorização dos idosos na sociedade.
مفهوم وأهمية الاحتياجات التدريبية
أهداف الاحتياجات التدريبية
عناصر الاحتياجات التدريبية
أنواع الاحتياجات التدريبية
أساليب الاحتياجات التدريبية
الصعوبات التي تواجه الاحتياجات التدريبية
نگار پژوه :: شبیه سازی و طراحی بیهنه عملکرد یک بازوی ربات آتشنشان با نازل چند...Mojtaba Hasanlu
شبیه سازی و طراحی بیهنه عملکرد یک بازوی ربات آتشنشان با نازل چند جهته و دوران کامل
نگارپژوه
مرکز تخصصی شبیه سازی سیستم ها ی مهندسی مکانیک
http://www.negarpajooh.com
شما مستقیما و بدون واسطه با محقق در ارتباط هستید.
آیدی تلگرام :NegarPajoohProject
میتوانید سایر ویدیوهای نگار پژوه را در کانال زیر مشاهده نمایید.
https://t.me/engineeringsimulation
(بینایی ماشین متن باز) یک کتابخانه متن باز شامل بیش از صدها الگوریتم بهینه سازی شده به زبان C و ++C برای تحلیل تصویر و ویدیو است، که از زمان معرفی آن در سال ۱۹۹۹، به میزان زیادی از سوی جامعه محققین و توسعه دهندگان بینایی ماشین به عنوان ابزار توسعه پایه پذیرفته شده است.
سرفصل هایی که در این آموزش به آن پرداخته شده است:
درس یکم: مقدمه
درس دوم: کار با تصاویر
درس سوم: فیلترکردن تصاویر
درس چهارم: هیستوگرام
...
برای توضیحات بیشتر و تهیه این آموزش لطفا به لینک زیر مراجعه بفرمائید:
http://faradars.org/courses/fvimg9405
ماکروسکوپ چیست ؟ماکروسکوپ یک نرم افزار
مدیریت هوشمند تصاویر است که با تمامی دوربین های
تحت شبکه سازگاری داشته و منطبق بر استانداردهای
جهانی بهترین راه کارهارا در این خصوص ارایه می
نماید
ماکروسکوپ یک نرم افزار قدرتمند و قابل تغییر است که بهترین راه حل
پیشنهادی برای ضبط هر تعداد دوربین و رخداد را دارا بوده و امکانات
دیگری نیز دارد ...
http://macroscop.com/en/
Video mosaicing is the process of effectively expanding the visual field of view of a scene by combining several partially viewed images captured from the scene, in a single broad view. Video mosaicing has been an active research topic in the fields of video processing, computer vision, and computer graphics. It can be used in many different applications such as video compression, surveillance, and indexing. In a video mosaicing process, the video data is transformed from its sequential and redundant frame-based representation (in which the information about the scene is distributed upon many frames), to an explicit and compact scene-based representation.
Cell Segmentation of 2D Phase-Contrast Microscopy Images with Deep Learning Method
Published in: 2019 Medical Technologies Congress (TIPTEKNO)
DOI: 10.1109/TIPTEKNO.2019.8894978
Publisher: IEEE
Conference Location: Izmir, Turkey
Mreps efficient and flexible detection of tandem repeats in DNA
In this paper, we describe mreps, a powerful software tool for a fast identification of tandemly repeated structures in DNA sequences. mreps is able to identify all types of tandem repeats within a single run on a whole genomic sequence. It has a resolution parameter that allows the program to identify 'fuzzy' repeats.
Title: Deep Learning based Segmentation Pipeline for Label-Free Phase-Contrast Microscopy Images
THE 28th IEEE CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS
5 - 7 October 2020
Video Link: https://youtu.be/b5tGt6GMN9E
1) The document presents research on using deep neural networks and transfer learning to improve virtual screening for drug discovery.
2) The researchers trained protein family-specific models using the DenseNet architecture on different sized training sets and evaluated using transfer learning and fine-tuning.
3) The results showed that the protein family-specific models outperformed baseline models on standard evaluation metrics, highlighting both the importance of more target-specific models and the need for more data to train such models.
In this project, we use leverage of centrality models for extracting the importance
of network graph in some determined topologies. The aim is to have scrutinizing
and analyzing the centralities in different network topologies. Three type of centrality
that are used in this project are Betweenness, Closeness and eigenvector
one. Moreover, we have show the results of this comparison in the experimental
results. Besides, we have extend the results of our experimental works for real
world problems. The Results of this part are grasped with visualization plots for
some centralities measurements clearly.
In this project, we propose methods for semantic segmentation with the deep learning state-of-the-art models. Moreover,
we want to filterize the segmentation to the specific object in specific application. Instead of concentrating on unnecessary objects we
can focus on special ones and make it more specialize and effecient for special purposes. Furtheromore, In this project, we leverage
models that are suitable for face segmentation. The models that are used in this project are Mask-RCNN and DeepLabv3. The
experimental results clearly indicate that how illustrated approach are efficient and robust in the segmentation task to the previous work
in the field of segmentation. These models are reached to 74.4 and 86.6 precision of Mean of Intersection over Union. The visual
Results of the models are shown in Appendix part.
This document presents MLProph, a machine learning-based routing protocol for opportunistic networks. It uses decision trees and neural networks to select the next hop for packet forwarding. Simulation results show that MLProph achieves higher delivery probability and lower packet dropping than the PROPHET+ routing protocol. Future work will involve simulating MLProph using real mobility traces and exploring other machine learning classifiers.
We trained a large, deep convolutional neural network to classify the 1.2 million
high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 dif-
ferent classes. On the test data, we achieved top-1 and top-5 error rates of 37.5%
and 17.0% which is considerably better than the previous state-of-the-art. The
neural network, which has 60 million parameters and 650,000 neurons, consists
of five convolutional layers, some of which are followed by max-pooling layers,
and three fully-connected layers with a final 1000-way softmax. To make train-
ing faster, we used non-saturating neurons and a very efficient GPU implemen-
tation of the convolution operation. To reduce overfitting in the fully-connected
layers we employed a recently-developed regularization method called “dropout”
that proved to be very effective. We also entered a variant of this model in the
ILSVRC-2012 competition and achieved a winning top-5 test error rate of 15.3%,
compared to 26.2% achieved by the second-best entry.
We trained a large, deep convolutional neural network to classify the 1.2 million
high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 dif-
ferent classes. On the test data, we achieved top-1 and top-5 error rates of 37.5%
and 17.0% which is considerably better than the previous state-of-the-art. The
neural network, which has 60 million parameters and 650,000 neurons, consists
of five convolutional layers, some of which are followed by max-pooling layers,
and three fully-connected layers with a final 1000-way softmax. To make train-
ing faster, we used non-saturating neurons and a very efficient GPU implemen-
tation of the convolution operation. To reduce overfitting in the fully-connected
layers we employed a recently-developed regularization method called “dropout”
that proved to be very effective. We also entered a variant of this model in the
ILSVRC-2012 competition and achieved a winning top-5 test error rate of 15.3%,
compared to 26.2% achieved by the second-best entry.
This document discusses two scenarios for waste collection using algorithms. Scenario 1 models waste collection as a traveling salesman problem that is solved using Dijkstra's algorithm. The total cost for collecting waste from 18 bins over 24 hours is calculated as $26,040. Scenario 2 collects waste from 18 bins using Dijkstra's algorithm to find the shortest paths and connect bins to their nearest neighbors, but has a syntax error preventing cost evaluation for different bin numbers. The document suggests prioritizing bins based on waste generation rates to reduce overflow and unnecessary alerts.
There is a smart airport application among the other applications under the SITA company [5] which is produced to provide various information, suggestions to the passengers during the travel by sharing these with the smart phone. In this report, I will extend and scrutiny this application and give my suggestions base on SITA application, I will define the usage and benefit of such smart airport application for airports and passengers.
Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sober operator, gradient of magnitude and direction, and HLS color space), camera calibration and unwarping (distortion correction and perspective transform), and polynomial fitting for the lanes.
This document discusses dog breed identification using deep learning models. It provides an overview of traditional and deep learning methods for image classification, including CNN architectures like AlexNet, VGG, GoogleNet, ResNet and DenseNet. The challenge is to identify the breed of dogs in images using pre-trained models. The document analyzes the provided training and test data, which contains over 10,000 images across 120 breeds. It then details the method used, which is to fine-tune popular models like DenseNet, ResNet and GoogleNet. The results show that DenseNet-169 achieved the best validation accuracy of 81.77% and lowest validation loss of 0.6393.
This document summarizes a student's term project on lane identification in autonomous vehicles. The project pipeline involves camera calibration, perspective transformation, color and gradient thresholding to identify lane lines, and lane detection by fitting windows to identified lines. Results showed good performance on straight lanes but difficulty fitting curved lanes. Further work proposed includes providing distance to lane center, improving curved lane detection, and implementing lane identification in video.
This document presents a project on lane finding for autonomous driving. The goals are to develop a solution to detect lane lines on the road to enable autonomous navigation. Related work in this area is discussed, including approaches using motion estimation, end-to-end learning from video datasets, and traditional computer vision techniques. Risks that could impact the accuracy of lane detection are also summarized, such as curved roads, weather conditions, shadows, and irregular road markings. The document outlines the work breakdown structure and Gantt chart for the project and provides references for related research.
This document summarizes a survey paper on smart charging for electric vehicles from an algorithmic perspective. It discusses smart grid-oriented EV charging approaches like load flattening, frequency regulation, and voltage regulation. It also discusses aggregator-oriented and customer-oriented EV charging approaches and the uncertainties involved. Future work opportunities are identified in areas like battery modeling, routing, and communication requirements to further the smart interaction between electric vehicles and the smart grid.
The document discusses smart airport applications and their benefits. It describes how smart airport applications can provide real-time information to passengers, such as baggage tracking and flight status updates. The applications also offer personalized suggestions to help passengers navigate the airport efficiently, such as recommendations for parking or places to wait with less crowds. Digital boarding passes are highlighted as another smart feature that can streamline the travel process through self-service checkpoints. In conclusion, smart airports are expected to improve the travel experience by optimizing and customizing services for passengers.
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.4تصاویر از خودرو پالک محل تشخیص برای سریع و جدید روشی
پیچیدهبرعملیات اساس
مورفولوژیکی)ماشین بینایی کنفرانس چهارمین)
Editor's Notes
یکی از کاربـردهـای هیستوگرام در فوکوس خودکـار دوربین های دیجیتالی است. بـدین صورت که لنز دوربین از ابتدا تا انتها حرکت کرده و در هر گام از حرکت خود تصویری از صحنه می گیرد. سپس کنتراست تصویر گرفته شده را با استفاده از هیستوگرام آن محاسبه می کند. پس از آن که لنز به انتهای حرکتی خود رسید، محلی از حرکت لنز که در آن تصویر دارای بیشترین کنتراست خود بوده است، به عنوان محل لنز تعیین می گردد.روش مذکور یکی از ساده ترین روش های فوکوس خودکار دوربین می باشد و همانطور که می توان حدس زد این الگوریتم در صحنه هایی که رنگ تیره و روشن باهم وجود داشته باشد، دچار اشکالاتی خواهد بود و باید تغییراتی در آن اعمال کرد (مفهوم کنتراست در ادامه بیان شده است).