The document discusses various computer vision and deep learning models including Gaussian mixture models (GMM), UNet, Mask RCNN, and generative models. GMM is described as a way to cluster pixels into superpixels. UNet is a neural network architecture used for image segmentation that uses a convolutional encoder-decoder structure. Mask RCNN is presented as an extension of Faster RCNN that adds a branch for predicting segmentation masks in parallel with bounding boxes. Generative models like PixelRNN are discussed as a way to model pixel values conditioned on previous pixels.
This document provides details about a blood bank management system project completed from January to June 2020. It includes an introduction, problem statement, methodology, introduction to cloud computing and Salesforce basics. The methodology section includes ER diagram, block diagram, class diagram and data flow diagrams. The document also describes modules developed for the system including login, registration, home, donor, data, profile, and blood request modules.
This document is a master's thesis that investigates how AI planning techniques can be used for modeling services in the context of the Internet of Things (IoT). It begins with background on AI planning and defines the IoT. It then explores using rule engines, domain-specific planning, and domain-independent planning to solve representative IoT use cases of increasing complexity. It evaluates the performance of a state-of-the-art planner on a challenging waste collection problem and suggests techniques for improving scalability. The thesis concludes by summarizing achievements and outlining directions for future work.
Computation of spatial data on Hadoop ClusterAbhishek Sagar
This document provides an overview of distributed computation on spatial data using Hadoop. It discusses GIS background including common spatial data types and operations. It then introduces Hadoop and MapReduce, describing HDFS architecture, MapReduce programming model, and how Hadoop compares to distributed databases. The document outlines experiments on Hadoop including speedup from spatial joins and optimization, building R-tree indexes, nearest neighbor queries, and graph computations. It concludes with discussing results and outlines future work.
This document provides an overview of distributed computation on spatial data using Hadoop. It discusses GIS background including common spatial data types and operations. It then introduces Hadoop and MapReduce, describing HDFS architecture, MapReduce programming model, and how Hadoop compares to distributed databases. The document outlines experiments on Hadoop including speedup from spatial joins and optimization, building R-tree indexes, nearest neighbor queries, and graph computations. It concludes with discussing results and outlines future work.
This document is a design report for a project submitted by three students. It includes sections on introduction, system design, implementation methodology, experimental setup and data collection, result analysis, limitations, conclusion, and future scope. The introduction provides a requirements analysis, problem definition for the existing system, and overview of the proposed system. The system design section outlines the system architecture, high and low level designs, UML diagrams, and database design. The implementation methodology specifies the algorithms used. Experimental setup and data collection describes the dataset, hardware, and software resources. The conclusion reflects on the project outcomes.
This document is a design report for a project submitted by three students. It includes sections on introduction, system design, implementation methodology, experimental setup and data collection, result analysis, limitations, conclusion, and future scope. The introduction provides a requirements analysis, problem definition for the existing system, and proposed new system. The system design section outlines the system architecture, high and low level designs, UML diagrams, and database design. The implementation methodology describes the algorithms used. Experimental setup and data collection specifies the dataset, hardware, and software resources used. The conclusion reflects on the project outcomes and limitations, with ideas for future work.
Staad.Pro Training Report or Summer Internship Ravi Kant Sahu
This repot is the brief discussion about staad pro and its results .How can we work on staad.pro, what are the step which are used to desin building structure in staad.pra .it is very advance software.
Metric Recovery from Unweighted k-NN Graphsjoisino
Introduction of
- Towards Principled User-side Recommender Systems (CIKM 2022) https://arxiv.org/abs/2208.09864
- Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure (ICML 2023) https://arxiv.org/abs/2301.10956
- and their related technology.
Speakerdeck: https://speakerdeck.com/joisino/metric-recovery-from-unweighted-k-nn-graphs
This document provides details about a blood bank management system project completed from January to June 2020. It includes an introduction, problem statement, methodology, introduction to cloud computing and Salesforce basics. The methodology section includes ER diagram, block diagram, class diagram and data flow diagrams. The document also describes modules developed for the system including login, registration, home, donor, data, profile, and blood request modules.
This document is a master's thesis that investigates how AI planning techniques can be used for modeling services in the context of the Internet of Things (IoT). It begins with background on AI planning and defines the IoT. It then explores using rule engines, domain-specific planning, and domain-independent planning to solve representative IoT use cases of increasing complexity. It evaluates the performance of a state-of-the-art planner on a challenging waste collection problem and suggests techniques for improving scalability. The thesis concludes by summarizing achievements and outlining directions for future work.
Computation of spatial data on Hadoop ClusterAbhishek Sagar
This document provides an overview of distributed computation on spatial data using Hadoop. It discusses GIS background including common spatial data types and operations. It then introduces Hadoop and MapReduce, describing HDFS architecture, MapReduce programming model, and how Hadoop compares to distributed databases. The document outlines experiments on Hadoop including speedup from spatial joins and optimization, building R-tree indexes, nearest neighbor queries, and graph computations. It concludes with discussing results and outlines future work.
This document provides an overview of distributed computation on spatial data using Hadoop. It discusses GIS background including common spatial data types and operations. It then introduces Hadoop and MapReduce, describing HDFS architecture, MapReduce programming model, and how Hadoop compares to distributed databases. The document outlines experiments on Hadoop including speedup from spatial joins and optimization, building R-tree indexes, nearest neighbor queries, and graph computations. It concludes with discussing results and outlines future work.
This document is a design report for a project submitted by three students. It includes sections on introduction, system design, implementation methodology, experimental setup and data collection, result analysis, limitations, conclusion, and future scope. The introduction provides a requirements analysis, problem definition for the existing system, and overview of the proposed system. The system design section outlines the system architecture, high and low level designs, UML diagrams, and database design. The implementation methodology specifies the algorithms used. Experimental setup and data collection describes the dataset, hardware, and software resources. The conclusion reflects on the project outcomes.
This document is a design report for a project submitted by three students. It includes sections on introduction, system design, implementation methodology, experimental setup and data collection, result analysis, limitations, conclusion, and future scope. The introduction provides a requirements analysis, problem definition for the existing system, and proposed new system. The system design section outlines the system architecture, high and low level designs, UML diagrams, and database design. The implementation methodology describes the algorithms used. Experimental setup and data collection specifies the dataset, hardware, and software resources used. The conclusion reflects on the project outcomes and limitations, with ideas for future work.
Staad.Pro Training Report or Summer Internship Ravi Kant Sahu
This repot is the brief discussion about staad pro and its results .How can we work on staad.pro, what are the step which are used to desin building structure in staad.pra .it is very advance software.
Metric Recovery from Unweighted k-NN Graphsjoisino
Introduction of
- Towards Principled User-side Recommender Systems (CIKM 2022) https://arxiv.org/abs/2208.09864
- Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure (ICML 2023) https://arxiv.org/abs/2301.10956
- and their related technology.
Speakerdeck: https://speakerdeck.com/joisino/metric-recovery-from-unweighted-k-nn-graphs
This document summarizes a master's thesis project on integrating home automation systems. The project developed two home automation simulation systems and exposed them on the web using a chosen implementation strategy. Requirements were elicited and various integration strategies were considered, with the goal of promoting openness and adoption of home automation.
Sample global cloud infrastructure as-a-service (iaa s) market research repor...Cognitive Market Research
This document provides an overview and analysis of the global cloud infrastructure-as-a-service (IaaS) market in 2020. It discusses key drivers and restraints, segments the market by type (hardware, software, services) and industry (IT, healthcare, manufacturing, etc.), and analyzes the market size and growth in major world regions. The report also profiles major IaaS providers like Amazon Web Services and provides forecasts for the global and regional IaaS market from 2020-2027.
Real-time 3D Object Detection on LIDAR Point Cloud using Complex- YOLO V4IRJET Journal
This document discusses improving real-time 3D object detection on LIDAR point clouds using an optimized version of Complex-YOLO V4. The original Complex-YOLO model achieves real-time performance but the authors implement it using YOLO V4 and compare different rotated box IoU losses to achieve faster and more accurate object detection results on the KITTI benchmark. Their improved model shows promising results with higher accuracy while maintaining real-time performance.
Global Blockchain in Logistics Market Report 2022 Report Link- https://www.cognitivemarketresearch.com/Blockchain-in-Logistics-Market-Report Cognitive Market Research provides detailed analysis of Global Blockchain in Logistics in our recently published report titled, "Global Blockchain in Logistics 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the Global Blockchain in Logistics market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting Global Blockchain in Logistics market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #GlobalBlockchaininLogisticsReport #GlobalBlockchaininLogisticsMarket #GlobalBlockchaininLogisticsMarketForecast #GlobalBlockchaininLogisticsMarketStatus #GlobalBlockchaininLogisticsMarket2022
The document provides several IoT case studies deployed in India across various industries like manufacturing, supply chain, transportation, healthcare, smart governance and utilities. Some key case studies discussed include predictive maintenance of machines using sensors in a food packaging industry, improving efficiency in production using sensors, fleet tracking solutions, remote machine monitoring, smart metering, and more. The case studies showcase how IoT is helping address different business needs and enabling benefits like reduced costs, increased productivity and efficiency.
This slide represents topics on PCA (Principal Component Analysis) and SVD (Singular Value Decomposition) where I tried to cover basic PCA, application, and use of PCA and SVD, Important keywords to know about PCA briefly, PCA algorithm and implementation, Basic SVD, SVD calculation, SVD implementation, Performance comparison of SVD and PCA regarding one publicly available dataset.
N.B. Information in this slide are gathered from
1. Machine Learning course by Andrew NG,
2. Mining of Massive Dataset | Stanford University | Artificial Intelligence - All in One (youtube channel)
3. and many more they are described in the slide.
This document provides an overview of the evolution of Pakistan's planning machinery at the federal level from 1948 to present. Key points:
1. The Development Board was established in 1948 to deal with Pakistan's economic development after independence. A Six-Year Development Plan was formulated in 1950.
2. The National Planning Board was established in 1953 to prepare comprehensive national development plans. It prepared Pakistan's first Five Year Plan.
3. The National Planning Board was redesignated as the Planning Commission in 1958 to elevate its status and coordination role between economic ministries.
4. The Planning Commission was reconstituted several times, with the Prime Minister and Minister of Finance and Economic Affairs as chairpersons at different times,
Contextual vs non-contextual word embedding models for Hindi Named Entity Rec...Aindriya Barua
Conference presentation for our paper publication in International Advanced Computing Conference. Springer, Singapore. This explores word embedding models like BERT, RoBERTa, XLM-RoBERTa, CamemBERT, DistilBERT for Hindi Named Entity Recognition and compares them against FastText and Word2Vec.
Sample Global LED Digital Signage Market Report 2021 - Cognitive Market Resea...Cognitive Market Research
LED Digital Signage Market Report 2022 Report Link- https://www.cognitivemarketresearch.com/LED-Digital-Signage-Market-Report Cognitive Market Research provides detailed analysis of LED Digital Signage in our recently published report titled, "LED Digital Signage 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the LED Digital Signage market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting LED Digital Signage market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #LEDDigitalSignageReport #LEDDigitalSignageMarket #LEDDigitalSignageMarketForecast #LEDDigitalSignageMarketStatus
LED Digital Signage Market Report 2022
Report Link- https://www.cognitivemarketresearch.com/LED-Digital-Signage-Market-Report Cognitive Market Research provides detailed analysis of LED Digital Signage in our recently published report titled, "LED Digital Signage 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the LED Digital Signage market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting LED Digital Signage market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #LEDDigitalSignageReport #LEDDigitalSignageMarket #LEDDigitalSignageMarketForecast #LEDDigitalSignageMarketStatus #LEDDigitalSignageMarket2022
LED Digital Signage Market Report 2022
Report Link- https://www.cognitivemarketresearch.com/LED-Digital-Signage-Market-Report
Cognitive Market Research provides detailed analysis of LED Digital Signage in our recently published report titled, "LED Digital Signage 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the LED Digital Signage market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting LED Digital Signage market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #LEDDigitalSignageReport #LEDDigitalSignageMarket #LEDDigitalSignageMarketForecast #LEDDigitalSignageMarketStatus #LEDDigitalSignageMarket2022
LED Digital Signage Market Report 2022
Report Link- https://www.cognitivemarketresearch.com/LED-Digital-Signage-Market-Report
Cognitive Market Research provides detailed analysis of LED Digital Signage in our recently published report titled, "LED Digital Signage 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the LED Digital Signage market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting LED Digital Signage market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #LEDDigitalSignageReport #LEDDigitalSignageMarket #LEDDigitalSignageMarketForecast #LEDDigitalSignageMarketStatus #LEDDigitalSignageMarket2022
Sample Global Circular Dichroism Spectroscopy Market Report 2022 - Cognitive ...Cognitive Market Research
Circular Dichroism Spectroscopy Market Report 2022 Report Link- https://www.cognitivemarketresearch.com/Circular-Dichroism-Spectroscopy-Market-Report Cognitive Market Research provides detailed analysis of Circular Dichroism Spectroscopy in our recently published report titled, "Circular Dichroism Spectroscopy 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the Circular Dichroism Spectroscopy market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting Circular Dichroism Spectroscopy market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #CircularDichroismSpectroscopyReport #CircularDichroismSpectroscopyMarket #CircularDichroismSpectroscopyMarketForecast #CircularDichroismSpectroscopyMarketStatus #CircularDichroismSpectroscopyMarket2022
This document is a table of contents for an N(i)2 FAQ that addresses questions about the N(i)2 Suite's architecture, CMDB, queries and reports, request management, discovery, incident management, infrastructure management, change management, usability, administration, API, and integration with third party products. The table of contents lists 12 sections that the FAQ will cover related to these topics and provides a brief description of the types of questions that may be answered in each section.
Projection Mapping Equipment Market Report 2022
Report Link- https://www.cognitivemarketresearch.com/Projection-Mapping-Equipment-Market-Report Cognitive Market Research provides detailed analysis of Projection Mapping Equipment in our recently published report titled, "Projection Mapping Equipment 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the Projection Mapping Equipment market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting Projection Mapping Equipment market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #ProjectionMappingEquipmentReport #ProjectionMappingEquipmentMarket #ProjectionMappingEquipmentMarketForecast #ProjectionMappingEquipmentMarketStatus #ProjectionMappingEquipmentMarket2022
This document provides an overview of a proposed "Book Bucket" project. The project aims to create a website that allows students to buy and sell used textbooks online within their college. The document outlines the objectives, proposed work, methodology, planning and schedule, potential outcomes, and references for the project. It describes conducting background research on similar systems, developing the website functionality to enable online book purchases and sales, and creating a timeline to implement and launch the Book Bucket website. The goal is to help students reuse books and reduce costs by facilitating the buying and selling of used textbooks.
This document describes a localization system for indoor vehicle navigation using printed 2D barcodes. A camera on the vehicle looks upward at a surface with printed localization marks. Each mark contains data bits that encode the mark's x,y position. Image processing techniques are used to extract the marks from images, read the data, and determine the vehicle's position and orientation. This provides an accurate yet low-cost localization method without accumulated errors over time. The document outlines the hardware, image processing steps, and use of a path planning algorithm to navigate autonomously.
Implementing QoS in IP Networks - Nikolaos TossiouNikolaos Tossiou
This document is a dissertation submitted by Nikolaos Tossiou to Brunel University in partial fulfillment of a Master of Science degree. The dissertation describes a case study where Tossiou designed and implemented a quality of service (QoS) enabled network. The case study involved identifying applications with QoS requirements, defining QoS classes, configuring the network topology and devices, and using measurement tools to validate that the network meets the QoS needs of different traffic types. The dissertation provides an overview of IP QoS, mechanisms to implement QoS, and architectures for QoS before detailing the case study network design and results from testing the network.
Phases 1A, 1B and N2 Express of Cape
Town’s MyCiTi IRT system for 2012. This Business Plan, for Council approval, is intended to inform and guide the City of Cape Town in the
development, implementation and operation of the MyCiTi Integrated Rapid Transit Project. The plan and
associated development programme are based on current knowledge regarding system requirements and
information currently available with regard to funding and other constraints.
This document provides an overview of the Digital Economy and Society Index (DESI) 2021 report. It includes thematic chapters on human capital, digital infrastructure, integration of digital technologies, digital public services, and the EU ICT sector. The chapters analyze indicators related to each dimension and provide data at the EU and country level. The report examines progress towards targets of the EU's Digital Compass and highlights continued gaps in digital skills, infrastructure deployment, technology adoption and eGovernment services across Member States.
This document outlines a project exploring methods for virtual clothing try-on systems. It discusses using U-Net and Mask R-CNN for cloth parsing, as well as a VITON model for virtual try-on. The goals were to survey existing technologies, perform cloth parsing, understand current systems, and estimate human sizes. Work included implementing U-Net and Mask R-CNN, as well as proposing a size predictor and CGAN-based color changer. Issues included lack of understanding of complex models, poor multi-class segmentation, and no size dataset. Future work focuses on improving models, adding cloth wrapping, collecting data, and optimizing for mobile/AR.
1. The document summarizes a student project that aims to create a virtual try-on application using augmented reality. It surveys existing methods for tasks like clothing segmentation, human pose estimation, and virtual try-on that could be used to build the application.
2. It discusses approaches the students investigated like using depth cameras for measurements, non-depth based methods using computer vision, parsing clothes and humans, and existing work on 2D virtual try-on.
3. The students implemented initial modules for their pipeline including a U-Net for clothing segmentation trained on images and masks from the Viton dataset.
This document summarizes a master's thesis project on integrating home automation systems. The project developed two home automation simulation systems and exposed them on the web using a chosen implementation strategy. Requirements were elicited and various integration strategies were considered, with the goal of promoting openness and adoption of home automation.
Sample global cloud infrastructure as-a-service (iaa s) market research repor...Cognitive Market Research
This document provides an overview and analysis of the global cloud infrastructure-as-a-service (IaaS) market in 2020. It discusses key drivers and restraints, segments the market by type (hardware, software, services) and industry (IT, healthcare, manufacturing, etc.), and analyzes the market size and growth in major world regions. The report also profiles major IaaS providers like Amazon Web Services and provides forecasts for the global and regional IaaS market from 2020-2027.
Real-time 3D Object Detection on LIDAR Point Cloud using Complex- YOLO V4IRJET Journal
This document discusses improving real-time 3D object detection on LIDAR point clouds using an optimized version of Complex-YOLO V4. The original Complex-YOLO model achieves real-time performance but the authors implement it using YOLO V4 and compare different rotated box IoU losses to achieve faster and more accurate object detection results on the KITTI benchmark. Their improved model shows promising results with higher accuracy while maintaining real-time performance.
Global Blockchain in Logistics Market Report 2022 Report Link- https://www.cognitivemarketresearch.com/Blockchain-in-Logistics-Market-Report Cognitive Market Research provides detailed analysis of Global Blockchain in Logistics in our recently published report titled, "Global Blockchain in Logistics 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the Global Blockchain in Logistics market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting Global Blockchain in Logistics market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #GlobalBlockchaininLogisticsReport #GlobalBlockchaininLogisticsMarket #GlobalBlockchaininLogisticsMarketForecast #GlobalBlockchaininLogisticsMarketStatus #GlobalBlockchaininLogisticsMarket2022
The document provides several IoT case studies deployed in India across various industries like manufacturing, supply chain, transportation, healthcare, smart governance and utilities. Some key case studies discussed include predictive maintenance of machines using sensors in a food packaging industry, improving efficiency in production using sensors, fleet tracking solutions, remote machine monitoring, smart metering, and more. The case studies showcase how IoT is helping address different business needs and enabling benefits like reduced costs, increased productivity and efficiency.
This slide represents topics on PCA (Principal Component Analysis) and SVD (Singular Value Decomposition) where I tried to cover basic PCA, application, and use of PCA and SVD, Important keywords to know about PCA briefly, PCA algorithm and implementation, Basic SVD, SVD calculation, SVD implementation, Performance comparison of SVD and PCA regarding one publicly available dataset.
N.B. Information in this slide are gathered from
1. Machine Learning course by Andrew NG,
2. Mining of Massive Dataset | Stanford University | Artificial Intelligence - All in One (youtube channel)
3. and many more they are described in the slide.
This document provides an overview of the evolution of Pakistan's planning machinery at the federal level from 1948 to present. Key points:
1. The Development Board was established in 1948 to deal with Pakistan's economic development after independence. A Six-Year Development Plan was formulated in 1950.
2. The National Planning Board was established in 1953 to prepare comprehensive national development plans. It prepared Pakistan's first Five Year Plan.
3. The National Planning Board was redesignated as the Planning Commission in 1958 to elevate its status and coordination role between economic ministries.
4. The Planning Commission was reconstituted several times, with the Prime Minister and Minister of Finance and Economic Affairs as chairpersons at different times,
Contextual vs non-contextual word embedding models for Hindi Named Entity Rec...Aindriya Barua
Conference presentation for our paper publication in International Advanced Computing Conference. Springer, Singapore. This explores word embedding models like BERT, RoBERTa, XLM-RoBERTa, CamemBERT, DistilBERT for Hindi Named Entity Recognition and compares them against FastText and Word2Vec.
Sample Global LED Digital Signage Market Report 2021 - Cognitive Market Resea...Cognitive Market Research
LED Digital Signage Market Report 2022 Report Link- https://www.cognitivemarketresearch.com/LED-Digital-Signage-Market-Report Cognitive Market Research provides detailed analysis of LED Digital Signage in our recently published report titled, "LED Digital Signage 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the LED Digital Signage market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting LED Digital Signage market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #LEDDigitalSignageReport #LEDDigitalSignageMarket #LEDDigitalSignageMarketForecast #LEDDigitalSignageMarketStatus
LED Digital Signage Market Report 2022
Report Link- https://www.cognitivemarketresearch.com/LED-Digital-Signage-Market-Report Cognitive Market Research provides detailed analysis of LED Digital Signage in our recently published report titled, "LED Digital Signage 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the LED Digital Signage market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting LED Digital Signage market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #LEDDigitalSignageReport #LEDDigitalSignageMarket #LEDDigitalSignageMarketForecast #LEDDigitalSignageMarketStatus #LEDDigitalSignageMarket2022
LED Digital Signage Market Report 2022
Report Link- https://www.cognitivemarketresearch.com/LED-Digital-Signage-Market-Report
Cognitive Market Research provides detailed analysis of LED Digital Signage in our recently published report titled, "LED Digital Signage 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the LED Digital Signage market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting LED Digital Signage market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #LEDDigitalSignageReport #LEDDigitalSignageMarket #LEDDigitalSignageMarketForecast #LEDDigitalSignageMarketStatus #LEDDigitalSignageMarket2022
LED Digital Signage Market Report 2022
Report Link- https://www.cognitivemarketresearch.com/LED-Digital-Signage-Market-Report
Cognitive Market Research provides detailed analysis of LED Digital Signage in our recently published report titled, "LED Digital Signage 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the LED Digital Signage market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting LED Digital Signage market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #LEDDigitalSignageReport #LEDDigitalSignageMarket #LEDDigitalSignageMarketForecast #LEDDigitalSignageMarketStatus #LEDDigitalSignageMarket2022
Sample Global Circular Dichroism Spectroscopy Market Report 2022 - Cognitive ...Cognitive Market Research
Circular Dichroism Spectroscopy Market Report 2022 Report Link- https://www.cognitivemarketresearch.com/Circular-Dichroism-Spectroscopy-Market-Report Cognitive Market Research provides detailed analysis of Circular Dichroism Spectroscopy in our recently published report titled, "Circular Dichroism Spectroscopy 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the Circular Dichroism Spectroscopy market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting Circular Dichroism Spectroscopy market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #CircularDichroismSpectroscopyReport #CircularDichroismSpectroscopyMarket #CircularDichroismSpectroscopyMarketForecast #CircularDichroismSpectroscopyMarketStatus #CircularDichroismSpectroscopyMarket2022
This document is a table of contents for an N(i)2 FAQ that addresses questions about the N(i)2 Suite's architecture, CMDB, queries and reports, request management, discovery, incident management, infrastructure management, change management, usability, administration, API, and integration with third party products. The table of contents lists 12 sections that the FAQ will cover related to these topics and provides a brief description of the types of questions that may be answered in each section.
Projection Mapping Equipment Market Report 2022
Report Link- https://www.cognitivemarketresearch.com/Projection-Mapping-Equipment-Market-Report Cognitive Market Research provides detailed analysis of Projection Mapping Equipment in our recently published report titled, "Projection Mapping Equipment 2022" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the Projection Mapping Equipment market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting Projection Mapping Equipment market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc. #ProjectionMappingEquipmentReport #ProjectionMappingEquipmentMarket #ProjectionMappingEquipmentMarketForecast #ProjectionMappingEquipmentMarketStatus #ProjectionMappingEquipmentMarket2022
This document provides an overview of a proposed "Book Bucket" project. The project aims to create a website that allows students to buy and sell used textbooks online within their college. The document outlines the objectives, proposed work, methodology, planning and schedule, potential outcomes, and references for the project. It describes conducting background research on similar systems, developing the website functionality to enable online book purchases and sales, and creating a timeline to implement and launch the Book Bucket website. The goal is to help students reuse books and reduce costs by facilitating the buying and selling of used textbooks.
This document describes a localization system for indoor vehicle navigation using printed 2D barcodes. A camera on the vehicle looks upward at a surface with printed localization marks. Each mark contains data bits that encode the mark's x,y position. Image processing techniques are used to extract the marks from images, read the data, and determine the vehicle's position and orientation. This provides an accurate yet low-cost localization method without accumulated errors over time. The document outlines the hardware, image processing steps, and use of a path planning algorithm to navigate autonomously.
Implementing QoS in IP Networks - Nikolaos TossiouNikolaos Tossiou
This document is a dissertation submitted by Nikolaos Tossiou to Brunel University in partial fulfillment of a Master of Science degree. The dissertation describes a case study where Tossiou designed and implemented a quality of service (QoS) enabled network. The case study involved identifying applications with QoS requirements, defining QoS classes, configuring the network topology and devices, and using measurement tools to validate that the network meets the QoS needs of different traffic types. The dissertation provides an overview of IP QoS, mechanisms to implement QoS, and architectures for QoS before detailing the case study network design and results from testing the network.
Phases 1A, 1B and N2 Express of Cape
Town’s MyCiTi IRT system for 2012. This Business Plan, for Council approval, is intended to inform and guide the City of Cape Town in the
development, implementation and operation of the MyCiTi Integrated Rapid Transit Project. The plan and
associated development programme are based on current knowledge regarding system requirements and
information currently available with regard to funding and other constraints.
This document provides an overview of the Digital Economy and Society Index (DESI) 2021 report. It includes thematic chapters on human capital, digital infrastructure, integration of digital technologies, digital public services, and the EU ICT sector. The chapters analyze indicators related to each dimension and provide data at the EU and country level. The report examines progress towards targets of the EU's Digital Compass and highlights continued gaps in digital skills, infrastructure deployment, technology adoption and eGovernment services across Member States.
This document outlines a project exploring methods for virtual clothing try-on systems. It discusses using U-Net and Mask R-CNN for cloth parsing, as well as a VITON model for virtual try-on. The goals were to survey existing technologies, perform cloth parsing, understand current systems, and estimate human sizes. Work included implementing U-Net and Mask R-CNN, as well as proposing a size predictor and CGAN-based color changer. Issues included lack of understanding of complex models, poor multi-class segmentation, and no size dataset. Future work focuses on improving models, adding cloth wrapping, collecting data, and optimizing for mobile/AR.
1. The document summarizes a student project that aims to create a virtual try-on application using augmented reality. It surveys existing methods for tasks like clothing segmentation, human pose estimation, and virtual try-on that could be used to build the application.
2. It discusses approaches the students investigated like using depth cameras for measurements, non-depth based methods using computer vision, parsing clothes and humans, and existing work on 2D virtual try-on.
3. The students implemented initial modules for their pipeline including a U-Net for clothing segmentation trained on images and masks from the Viton dataset.
Nivedit Jain and Eashan Jindal present their project μZik, a multi-threaded music streaming application that allows multiple users to collaboratively create and listen to playlists. It uses TCP/IP for two-way transmission between a server and multiple client devices, allowing for error detection and correction. The application incorporates artificial intelligence to make personalized playlist recommendations based on a user's past music choices and other attributes.
The document discusses the bucket sort algorithm. Bucket sort works by distributing elements into buckets based on their range and then sorting the elements within each bucket. It has average case time complexity of O(n) when the number of buckets k is Θ(n). The document provides pseudocode for bucket sort and analyzes its worst case and average case time complexities. It also discusses potential improvements like using a more efficient sorting algorithm within each bucket.
This project report summarizes research on using deep learning methods for super resolution of document images to improve optical character recognition (OCR) accuracy. Two approaches are studied: SRCNN and incorporating OCR accuracy into the loss function. Experiments include modifying the dataset to focus on text regions and varying the SRCNN architecture. Results show the 2-layer SRCNN trained on the modified dataset achieves the best OCR accuracy, exceeding the ground truth in some cases.
XP practices can be categorized into alphas (essential practices), activities, work products, patterns, and competencies. The main alphas are release planning, iteration planning, and iteration. Release planning involves defining requirements with the customer. Iteration planning defines work for the next 2 weeks. Iterations involve designing, implementing, testing, and releasing features. Key activities include requirements capture, analysis, pair programming, testing, small releases, and design improvement. Work products include release plans, tests, code, and releases. Patterns like metaphor, whole team, and coding standards guide the work. A key competency is maintaining a sustainable pace.
This document summarizes a lecture on context free languages and grammars. It includes:
- Definitions of context free grammars and languages. A context free grammar is defined as a 4-tuple (V, Σ, R, S) where V is variables, Σ is terminals, R is rules, and S is the start variable.
- Examples of context free grammars that generate specific languages. Grammars are provided to generate languages of even length palindromes, strings with a^i b^j where i,j > 0, and strings with a^i b^2i.
- Discussion of ambiguity in grammars and languages. A grammar is ambiguous if it can derive
These slides were submitted by Muskan Bathla, Nivedit Jain and Sanskar Mani (all sophomore undergrad in Computer Science and Engineering) as a part of lecture scribing for Theory of Computation Course at Indian Institute of Technology Jodhpur, under the guidance of Dr. Anand Mishra, IIT Jodhpur
Maximum weighted edge biclique problem on bipartite graphsniveditJain
The document summarizes work on the maximum weighted edge biclique (MWEB) problem on bipartite graphs. It begins with definitions of bicliques and the MWEB problem. It then discusses applications in molecular biology and provides examples to illustrate the problem. The document outlines the authors' work which shows the problem is NP-complete for complete bipartite graphs and can be solved in polynomial time for bipartite permutation and chain graphs. It reviews related literature and discusses hardness results. Finally, it provides an algorithm to find the maximum biclique in a bipartite permutation graph with non-negative edge weights.
CarMeet is an application that connects passengers traveling on the same route so they can carpool together, reducing costs for riders and providing a revenue source for drivers. It uses algorithms to match people based on their locations and compatibility. CarMeet has the potential to significantly reduce traffic and emissions by decreasing the number of vehicles on the road. The founders aim to eventually have over 100 million users within five years by targeting daily commuters, college students, and office workers. Their revenue model involves a prepaid balance that users spend on each ride.
The document defines key entrepreneurship concepts including minimum viable product (MVP), value proposition, elevator pitch, user acquisition strategy and cost, business model, accelerators, incubators, equity, stake, valuation, scalability, and discusses whether the startup idea is most important. It provides guidance on developing an MVP, value proposition, pitch, acquisition strategy, and business model to attract investors and users.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
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Mask RCNN
RCNN
Use Graph Based Segmentation to generate candidate regions.
Selective Search Algorithm generates 2000 Region Proposals by
combining smaller regions into larger ones.
Each of the 2000 proposals is fed into a CNN that outputs a 4096
dimensional feature vector
SVMs for each class are used to classify the presence of that object in
a proposal.
Bounding boxes are generated for each object containing region.
Nivedit, Mitul, Rajat (IITJ) Project SHRINGAR(Learning Outcomes) December 2020 - January 2021
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Mask RCNN
Fast-RCNN
RCNN tries to classify 2000 Region Proposals per image, which both
time consuming and wasteful.
Fast RCNN reduces this time by feeds the input image to the CNN
instead, and then maps the proposed regions onto the convolutional
feature map.
Regions of Interests that are identified are then warped into squares
and then passed through a pooling layer, where they are reshaped
into a fixed size.
The pooled RoIs are fed into a fully connected layer, where a softmax
layer is used for classification, and linear regression is performed for
Bounding Box offset values.
The entire network is trained using Log Loss (for classification) +
Smooth L1 Loss (for Bbox regression).
Nivedit, Mitul, Rajat (IITJ) Project SHRINGAR(Learning Outcomes) December 2020 - January 2021
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Mask RCNN
Faster RCNN
Region Proposal Algorithms are heuristical and slow, and hence form
a bottleneck during training and testing.
Faster RCNN uses Region Proposal Network (RPN) to propose
regions from the convolutional feature map.
Uses anchor points for different scales and aspect ratios to account
for different scales of the objects in an image.
Nivedit, Mitul, Rajat (IITJ) Project SHRINGAR(Learning Outcomes) December 2020 - January 2021
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Mask RCNN
Mask RCNN
Extension of Faster RCNN. Makes predictions for masks also.
Masks have K ∗ m2 dimensional output for each RoI, which encodes
K binary masks of resolution m ∗ m for each of the K classes.
Masks are predicted for the RoI pooled feature map, and need to be
aligned with the input RoI. Thus RoIAlign method is used which uses
bilinear interpolation to align pooled feature map with the input
feature map.
Nivedit, Mitul, Rajat (IITJ) Project SHRINGAR(Learning Outcomes) December 2020 - January 2021
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Mask RCNN
Mask RCNN - Loss
Mask RCNN loss function is a multi-task loss function, since it incorporates
the prediction losses of classes, bounding boxes and segmentation masks.
Thus it can be represented as L = Lcls + Lbox + Lmask, where
Lcls: This represents a binary cross entropy loss function for each of
the K classes.
Lbox: This represents the smooth L1 loss function, which is used for
regresssion loss
Lmask: This represents the binary cross entropy loss function, used
for prediction of binary masks for each of the K classes.
Nivedit, Mitul, Rajat (IITJ) Project SHRINGAR(Learning Outcomes) December 2020 - January 2021
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Generative Models
Idea
We are till now looking on Pixel Level, which might not be a good thing,
example, for a classifier for say humans vs no humans, classifier does not
look at all pixels it uses pixels to extract some features and then use them
to make prediction.
Nivedit, Mitul, Rajat (IITJ) Project SHRINGAR(Learning Outcomes) December 2020 - January 2021