ارائه تعریف پست مدرنیسم، مدرنیسم و روند پست مدرنیسم با رویکرد جامعه شناختی.
پست مدرنیسم چیست؟
مدرنیسم و پست مدرنیسم
پست مدرنیسم در بستر تاریخ
جامعه شناسی پست مدرن
کاپیتالیسم و پست مدرنیسم
Thurs. Dec. 22nd Pine River Announcements Pine River
The announcements provide information about the date, a birthday, reminders to return overdue library books and check the lost and found, activities like caroling and a showing of The Polar Express, safety tips for outdoor play, and winners of the Gotcha program.
O documento discute como o design é impulsionado por contradições e como o designer pode trabalhar com elas de forma criativa para propor soluções. Apresenta exemplos de como contradições em projetos arquitetônicos e de produtos foram superadas por meio de terceiras forças que sintetizam os opostos. Defende que o designer deve tornar visíveis as contradições e dar instrumentos para que as pessoas criem novas configurações capazes de promover mudanças.
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 improvements, 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.
آدرس و تماس دارالترجمه داریان
44001629__09127050669
44061411__44061412
09199505041__09199505042
ایمیل دارالترجمه :
IRAMAHD@YAHOO.COM
آدرس دارالترجمه :
تهران ، فلکه دوم صادقیه ، ضلع شمال غربی ، مجتمع صادقیه
طبقه زیر همکف ، واحد 19
کدپستی دارالترجمه :
1471696144
ارائه تعریف پست مدرنیسم، مدرنیسم و روند پست مدرنیسم با رویکرد جامعه شناختی.
پست مدرنیسم چیست؟
مدرنیسم و پست مدرنیسم
پست مدرنیسم در بستر تاریخ
جامعه شناسی پست مدرن
کاپیتالیسم و پست مدرنیسم
Thurs. Dec. 22nd Pine River Announcements Pine River
The announcements provide information about the date, a birthday, reminders to return overdue library books and check the lost and found, activities like caroling and a showing of The Polar Express, safety tips for outdoor play, and winners of the Gotcha program.
O documento discute como o design é impulsionado por contradições e como o designer pode trabalhar com elas de forma criativa para propor soluções. Apresenta exemplos de como contradições em projetos arquitetônicos e de produtos foram superadas por meio de terceiras forças que sintetizam os opostos. Defende que o designer deve tornar visíveis as contradições e dar instrumentos para que as pessoas criem novas configurações capazes de promover mudanças.
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 improvements, 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.
آدرس و تماس دارالترجمه داریان
44001629__09127050669
44061411__44061412
09199505041__09199505042
ایمیل دارالترجمه :
IRAMAHD@YAHOO.COM
آدرس دارالترجمه :
تهران ، فلکه دوم صادقیه ، ضلع شمال غربی ، مجتمع صادقیه
طبقه زیر همکف ، واحد 19
کدپستی دارالترجمه :
1471696144
Como utilizar conceitos e práticas de Design Thinking, Lean Startup e Desenvolvimento Ágil para criar produtos e serviços digitais inovadores de forma enxuta e ágil.
The document presents the tree of life which depicts the evolutionary relationships between all life on Earth. It shows that all living things can be grouped into three domains - Archaea, Bacteria, and Eukarya. Within these domains are further subgroups like kingdoms, phyla, and divisions that help classify different types of organisms. The tree of life helps illustrate how all life is interconnected through shared ancestry.
Deni Karyono is an Indonesian sand control pumping specialist with over 4 years of experience in the oilfield. He holds a diploma degree in chemical engineering and has undergone training in sand management pumping. His experiences include roles as a field specialist trainee and field specialist on projects involving hydraulic fracturing, pipeline cleaning, and acidizing in fields in Indonesia and Vietnam for companies like Pertamina, Total E&P Indonesie, VietsoPetro, and ENI Indonesia.
This document provides an overview of various free online tools that are useful for students' academic work. It describes tools for searching scholarly resources and blogs, keeping up-to-date using RSS feeds, organizing and citing sources, sharing media, archiving web pages, conducting research faster and brainstorming concepts collaboratively using mind mapping tools. Specific tools mentioned include Google Scholar, Google Books, WorldCat, Blogspot, Google Blog Search, iGoogle, del.icio.us, YouTube, Flickr, Internet Archive, Google Toolbar, Dipity, Spreeder, Comapping, Skype and SlideShare.
These slides explains how design activity can expand its object from construction materials to emergent performances. This is part of the lectures on Design Thinking from PUCPR.
This document proposes a method for detecting vehicle license plates using vertical edge detection for toll gate applications. It involves binarizing the input image using adaptive thresholding, applying an unwanted line elimination algorithm to enhance the image, and then using vertical edge detection algorithm (VEDA) to detect vertical edges. Candidate plate regions are then extracted and the desired plate is selected. This methodology is intended for use in real-time applications like electronic toll collection systems, where the plate number is extracted and authorization is checked before automatically deducting payment using RFID tags.
O pensamento projetual expansivo demonstrou ser uma abordagem bastante prática para estimular estudantes da Engenharia Eletrônica, Engenharia de Produção, Farmácia, Medicina, Design de Produto e Design Digital a buscar a inovação na Saúde. A pesquisa com usuários e os materiais de cocriação foram essenciais para estabelecer a base da colaboração.
Atuação do enfermeiro na prevenção das úlceras por pressão na hospitalizaçãoRafaela Correia
O documento discute a prevenção de úlceras por pressão na hospitalização, incluindo classificação de estágios, fatores de risco, medidas preventivas e a atuação do enfermeiro.
O documento discute os conceitos de preparação do leito da ferida, incluindo os modelos DIME e TIME, que fornecem estruturas para avaliar e tratar feridas de forma holística. O modelo TIME foca nos quatro componentes de tecido, infecção, umidade e epitelização para promover a cicatrização. Uma preparação eficaz do leito da ferida requer uma avaliação cuidadosa do paciente e da ferida para direcionar o tratamento das causas subjacentes que impedem a cicatrização.
Teste de usabilidade na sprint; Entrega contínua de boas experiênciasGlauber Lænder
O documento discute a importância de realizar testes de usabilidade nas sprints para entregar boas experiências aos usuários de acordo com os princípios ágeis. Ele explica várias técnicas de teste de usabilidade como rabiscos, wireframes, mapas de calor e envolve todo o time no processo.
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.
Como utilizar conceitos e práticas de Design Thinking, Lean Startup e Desenvolvimento Ágil para criar produtos e serviços digitais inovadores de forma enxuta e ágil.
The document presents the tree of life which depicts the evolutionary relationships between all life on Earth. It shows that all living things can be grouped into three domains - Archaea, Bacteria, and Eukarya. Within these domains are further subgroups like kingdoms, phyla, and divisions that help classify different types of organisms. The tree of life helps illustrate how all life is interconnected through shared ancestry.
Deni Karyono is an Indonesian sand control pumping specialist with over 4 years of experience in the oilfield. He holds a diploma degree in chemical engineering and has undergone training in sand management pumping. His experiences include roles as a field specialist trainee and field specialist on projects involving hydraulic fracturing, pipeline cleaning, and acidizing in fields in Indonesia and Vietnam for companies like Pertamina, Total E&P Indonesie, VietsoPetro, and ENI Indonesia.
This document provides an overview of various free online tools that are useful for students' academic work. It describes tools for searching scholarly resources and blogs, keeping up-to-date using RSS feeds, organizing and citing sources, sharing media, archiving web pages, conducting research faster and brainstorming concepts collaboratively using mind mapping tools. Specific tools mentioned include Google Scholar, Google Books, WorldCat, Blogspot, Google Blog Search, iGoogle, del.icio.us, YouTube, Flickr, Internet Archive, Google Toolbar, Dipity, Spreeder, Comapping, Skype and SlideShare.
These slides explains how design activity can expand its object from construction materials to emergent performances. This is part of the lectures on Design Thinking from PUCPR.
This document proposes a method for detecting vehicle license plates using vertical edge detection for toll gate applications. It involves binarizing the input image using adaptive thresholding, applying an unwanted line elimination algorithm to enhance the image, and then using vertical edge detection algorithm (VEDA) to detect vertical edges. Candidate plate regions are then extracted and the desired plate is selected. This methodology is intended for use in real-time applications like electronic toll collection systems, where the plate number is extracted and authorization is checked before automatically deducting payment using RFID tags.
O pensamento projetual expansivo demonstrou ser uma abordagem bastante prática para estimular estudantes da Engenharia Eletrônica, Engenharia de Produção, Farmácia, Medicina, Design de Produto e Design Digital a buscar a inovação na Saúde. A pesquisa com usuários e os materiais de cocriação foram essenciais para estabelecer a base da colaboração.
Atuação do enfermeiro na prevenção das úlceras por pressão na hospitalizaçãoRafaela Correia
O documento discute a prevenção de úlceras por pressão na hospitalização, incluindo classificação de estágios, fatores de risco, medidas preventivas e a atuação do enfermeiro.
O documento discute os conceitos de preparação do leito da ferida, incluindo os modelos DIME e TIME, que fornecem estruturas para avaliar e tratar feridas de forma holística. O modelo TIME foca nos quatro componentes de tecido, infecção, umidade e epitelização para promover a cicatrização. Uma preparação eficaz do leito da ferida requer uma avaliação cuidadosa do paciente e da ferida para direcionar o tratamento das causas subjacentes que impedem a cicatrização.
Teste de usabilidade na sprint; Entrega contínua de boas experiênciasGlauber Lænder
O documento discute a importância de realizar testes de usabilidade nas sprints para entregar boas experiências aos usuários de acordo com os princípios ágeis. Ele explica várias técnicas de teste de usabilidade como rabiscos, wireframes, mapas de calor e envolve todo o time no processo.
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.