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International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.

Capire Micropower Innovation Competition Presentation

VentureBeat

The document discusses Capire, a startup that has developed a microturbine power chip as a solution to enable portable devices and new technologies that have been limited by battery technology. The microturbine power chip provides 10x the power density of micro-fuel cells and can run on ethanol or biodiesel, enabling extreme endurance laptops with estimated 40 hour runtimes by 2013 and powering a growing market for devices like e-scooters and e-bikes. Capire seeks funding to bring their technology to the mass market.

CycleStreets GeoVation pitch slides

CycleStreets

This document proposes a crowd-sourced cycling issue management website to help cycling advocacy groups improve infrastructure. The website would allow users to easily pinpoint difficult cycling locations, access best practices, and prioritize issues. It would include discussion forums and integrate with planning applications. The proposal estimates £30k could fund developing a polished system, though a basic version could be achieved for £20k. Existing groups support the idea to help manage infrastructure problems in a scalable way.

InThrMa Innovation Competition Presentation

VentureBeat

InThrMa is an affordable energy management system and AutoDR module for the light commercial sector. It provides awareness and control of HVAC systems through a data-rich web portal and smart thermostat. The AutoDR module allows users to generate load shed profiles for HVAC and other appliances that comply with AutoDR signals, while the efficiency module analyzes weather and building data to improve HVAC performance over time.

Metodika en final

nishava

This document discusses the development of a uniform trans-boundary methodology for flood risk assessment between Bulgaria and Serbia. It covers terminology, legislation, databases, and types of floods. Methods are described for determining maximum run-off, creating digital terrain models and hydraulic models. Guidelines are provided for creating flood hazard maps and flood risk maps, including showing inundation areas, water depths and velocities, protection measures, and classifying risk. The goal is a common approach for flood risk assessment in the cross-border region.

M commerce

gangavathi

The document discusses mobile applications and the limitations of mobile environments. It covers topics like wireless networking, routing in mobile networks, transport in mobile networks, and how to adapt applications for mobility. Specific mobile applications mentioned include using ad-hoc networks for vehicles, emergencies, military uses, mobile offices, location-aware services, and entertainment. The document also summarizes protocols and standards for mobile computing including GSM, Bluetooth, wireless LANs, Mobile IP, mobile TCP, and the Wireless Application Protocol (WAP).

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C:\Fakepath\Naked Conversations

kdwhigham

This document discusses the book "Naked Conversations" by Robert Scoble and ShelIsreal. It highlights Robert Scoble's background in New Jersey and blogging, as well as ShelIsreal's focus on social media and global neighborhoods. The lesson learned from the book is about humanizing brands using Microsoft's 6 pillars approach. The document also notes statistics about blog abandonment and asks for recommendations.

This project implements mincut placement with and without terminal propagation to reduce wirelength. Terminal propagation temporarily moves connected nodes between partitions during cuts to minimize distance. For four benchmark circuits, terminal propagation achieved an average 27.8% reduction in wirelength with minimal runtime impact. Experimental results showed that terminal propagation significantly improves wirelength especially for smaller partition sizes. The implementation faces memory issues for very large circuits. Several extensions are proposed but not implemented due to time constraints.

Hybrid Ant Colony Optimization for Real-World Delivery Problems Based on Real...

csandit

1245 tablet mitch oscar

Jeff Loechner

This document outlines various emerging and established technologies in the media and entertainment industry, including the adoption of smartphones, broadband, and wireless technologies, as well as consumption of content across TVs, video game consoles, tablets, and other devices. It also discusses trends in digital video, addressable advertising, and content distribution across linear, on-demand, and user-generated formats. Key metrics are provided on the installed base of these technologies and devices.

Swanson 2003 framework-understanding_4p

Eric Swanson

This document proposes a framework called the Context-Influence Framework for managing contexts in interactive system development. The framework defines contexts as collections of influences that affect system behaviors and users. Contexts are analyzed at the level of "Use Subsystems" which are specific combinations of users, tasks, and interfaces. Contexts can be divided into domains to capture information from different perspectives. Contexts are also organized hierarchically to allow representation at different levels of detail. The framework is intended to help communication between teams and allow contexts to be added without increasing complexity.

POIdo RIF StartupPoint 2010 presentation

polina

Act biggam

southmos

This document discusses how European broadcasters are responding to the challenges posed by connected TV. It notes that connected TV allows new entrants access to revenue streams and potentially vertically integrated global players to control parts of the distribution chain. This raises regulatory questions as connected TV may undermine the notion of editorial responsibility over all on-screen content. Broadcasters should remain open to new distribution forms while protecting their signals, anti-piracy provisions, and commercial control over scheduling. Ultimately consumers will decide the winners and losers in this transition to connected TV.

Monitoring temporary populations through cellular core network data

Beniamino Murgante

Ross Biggam - Online and on-demand services as means of generating revenue gr...

TVbusinessconference

The document discusses challenges facing commercial broadcasters and opportunities for new revenue streams through online and on-demand services. It notes that while TV advertising remains important, broadcasters need to diversify revenue to 60% from other sources like new advertising forms, rights trading, and online video. Online options like catch-up TV, on-demand, and mobile apps can boost viewership and provide scheduling flexibility but won't replace traditional TV. Innovation is needed to complement, not replace, existing business models through both online and traditional services.

Key Performance Indicators for Energy Efficient Asset Management in a Factory...

FAST-Lab. Factory Automation Systems and Technologies Laboratory, Tampere University of Technology

Changing behaviour to reduce energy demand

blogzilla

11.challenging issues of spatio temporal data mining

Alexander Decker

This document discusses the challenging issues of spatio-temporal data mining. It begins with an introduction to spatio-temporal databases and how they differ from traditional databases by managing moving objects and their locations over time. It then provides an overview of spatial data mining and temporal data mining before focusing on spatio-temporal data mining, which aims to analyze large databases containing both spatial and temporal information. The document outlines some of the key challenges in applying traditional data mining techniques to spatio-temporal data due to its continuous and correlated nature.

Stream flow forecasting

aniruudha banhatti

Brainient deck for institute marketing

LiveStation

Interactive video ads are growing as TV ad budgets move online. This creates challenges for advertisers to fully utilize online video. Brainient is a product that allows advertisers and agencies to quickly create interactive overlays for online video ads within hours instead of days or weeks. Through an agile customer development process, Brainient aims to understand customer needs and validate its product concept. It offers a free trial and revenue sharing or transaction-based pricing models.

Unidad educativa católica diagrama

caro_19

El documento habla sobre los diagramas de flujo. Explica que un diagrama de flujo es una representación gráfica de un proceso que muestra cada paso y cómo se relacionan mediante flechas. Ofrece una descripción visual clara de las actividades de un proceso y sus interrelaciones. También describe los beneficios de los diagramas de flujo, como facilitar la comprensión de un proceso y mejorar la comunicación. Luego explica cómo elaborar un diagrama de flujo, los tipos existentes y los símbolos usualmente utilizados.

Application of support vector machines for prediction of anti hiv activity of...

Alexander Decker

This document describes a study that used support vector machines (SVM) to develop a quantitative structure-activity relationship (QSAR) model to predict the anti-HIV activity of TIBO derivatives. The SVM model achieved high correlation (q2=0.96) and low error (RMSE=0.212), outperforming artificial neural networks and multiple linear regression models developed on the same data set. The results indicate that SVM is a valuable tool for QSAR modeling and predicting anti-HIV activity of chemical compounds.

Where20 Spatial Analytics 2010

seagor

The document summarizes a workshop on spatial analytics. It discusses the rise of spatial analytics, different spatial analysis techniques including spatial autocorrelation and interpolation. It covers using Hadoop and Pig for distributed analytics on big spatial data. Examples are provided of spatial analysis jobs in Pig that are much simpler than equivalent MapReduce code. The document concludes by demonstrating a simple example of counting tweets by location in Pig.

Indigo 102 Mls May 08 V1

Martin Wilson

This document discusses optimizing advertising in location-based services. It outlines the opportunity for mobile advertising, with over 330 million mobile search users worldwide. However, it notes that advertising must be carefully executed to be relevant, timely, and add value for consumers. Location context is overrated unless it's relevant to the user. Advertising should empower consumer decisions, differentiate offers, and make redemption simple. Just-in-time intercept marketing can be effective if executed properly as part of a broader campaign. Both consumers and advertisers need to have their perspectives and expectations managed for mobile advertising to be successful.

Diagramadeflujoprmichael 120530095613-phpapp02

Leydi Ortiz

A Survey on Applications of Neural Networks and Genetic Algorithms in Fault D...

IOSR Journals

This document summarizes research on using neural networks and genetic algorithms for fault diagnosis in antenna arrays. It provides background on smart antenna arrays and issues with traditional fault diagnosis methods. It then describes how neural networks like multilayer perceptrons and radial basis function networks can be trained to map damaged radiation patterns to faulty antenna locations. Genetic algorithms are also discussed as an approach to minimize differences between measured and expected radiation patterns. Various studies applying these methods to different antenna array configurations are summarized, demonstrating the effectiveness of neural networks and genetic algorithms for fast and accurate fault diagnosis in antenna arrays.

Selling google adwords__vn

Tuong Nguyen Duy