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Name: Mahshad Shariat
Type: User
Company: Florida International University
Name: Mahshad Shariat
Type: User
Company: Florida International University
All the homework for Convex decomposition
DCOPF Solves a DC optimal power flow.
Machine Learning Algorithms
Machin Learning Algorithm : Perceptron
This work considers active deanonymization of bipartite networks. The scenario arises naturally in evaluating privacy in various applications such as social networks, mobility networks, and medical databases. For instance, in active deanonymization of social networks, an anonymous victim is targeted by an attacker (e.g. the victim visits the attacker's website), and the attacker queries her group memberships (e.g. by querying the browser history) to deanonymize her. In this work, the fundamental limits of privacy, in terms of the minimum number of queries necessary for deanonymization, is investigated. The bipartite network is generated based on linear and sublinear preferential attachment, and the stochastic block model. The victim's identity is chosen randomly based on a distribution modeling the users' risk of being the victim (e.g. probability of visiting the website). An attack algorithm is proposed which builds upon techniques from communication with feedback, and its performance, in terms of expected number of queries, is analyzed. Simulation results are provided to verify the theoretical derivations. In this project, we provide several simulations of synthesized and real-world attacks to verify the theoretical results presented in the paper and gain further intuition regarding the users’ privacy risks under such attack scenarios. For detailed problem formulation you can visit the following paper: https://arxiv.org/abs/2106.04766
Considering the global warming the power generation is going to be based on renewable generation. Between renewable generation wind power is one of the fastest growing renewable sources of energy generation in the U.S. and many other countries. Wind energy is a desirable resource because it’s cheap and clean. However, it’s intermittent, and the profile of energy generation does not correlate with the demand cycle. Wind energy is available when the wind blows, and the power level depends on wind speed. Therefore, they are not dispatched in the traditional sense. As installed wind capacity grows in a region, the intermittency of wind energy becomes a significant issue. This paper presents a security-constrained unit commitment (SCUC) algorithm with the Benders Decomposition method for considering wind generation volatility.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.