The Experts below are selected from a list of 273 Experts worldwide ranked by ideXlab platform

Yury Polyanskiy - One of the best experts on this subject based on the ideXlab platform.

  • Information Storage in the Stochastic Ising Model at Low Temperature
    2019 IEEE International Symposium on Information Theory (ISIT), 2019
    Co-Authors: Ziv Goldfeld, Guy Bresler, Yury Polyanskiy
    Abstract:

    Motivated by questions of data stabilization in emerging magnetic storage technologies, we study the retention of information in interacting particle systems. The interactions between particles adhere to the stochastic Ising model (SIM) on the two-dimensional (2D) √n × √n grid. The measure of interest is the information capacity In(t) =△ maxpX0 I(X0; Xt), where the initial spin configuration X0 is a user-Controlled Input and the output configuration Xt is produced by running t steps of Glauber dynamics. After the results on the zero-temperature regime reported last year, this work focuses on the positive but low temperature regime. We first show that storing more than a single bit for an exponential time is impossible when the initial configuration is drawn from the equilibrium distribution. Specifically, if X0 is drawn according to the Gibbs measure, then I(X0; Xt) ≤ 1 + o(1) for t ≥ exp (cn1/4+ε). On the other hand, when scaling time with β, we propose a stripe-based coding scheme that stores order of √n bits for exp(β) time. Key to the analysis of the scheme is a new result on the survival time of a single plus-labeled stripe in a sea of minuses. Together, the 1-bit upper bound and the striped-based storage scheme constitute initial steps towards a general analysis of In(t) for β > 0.

  • Information Storage in the Stochastic Ising Model at Zero Temperature
    2018 IEEE International Symposium on Information Theory (ISIT), 2018
    Co-Authors: Ziv Goldfeld, Guy Bresler, Yury Polyanskiy
    Abstract:

    Most information systems store data by modifying the local state of the matter, in the hope that atomic (or subatomic) local interactions would stabilize the state for sufficiently long time, thereby allowing later recovery. In this work we initiate the study of information retention properties of locally-interacting systems. We model the time-dependent interactions between the different particles via the stochastic Ising model (SIM). The initial spin configuration X0 serves as the user-Controlled Input. The output configuration Xt is produced by running t steps of the Glauber chain. Our main goal is to evaluate the information capacity In(t) =̂ maxpX0 I(X0; Xt) when the time t scales with the size or the system n according to various rates. For the zero-temperature SIM on the two-dimensional √n×√n grid and free boundary condition, it is easy to show that In(t)=Θ(n) as long as t=O(n). In addition, we show that order of √n bits can be stored for infinite time (and even with zero error). The √n achievability is optimal when t→∞ and n is fixed. Our main result is in extending achievability to super-linear (in n) times via a coding scheme that reliably stores more than √n bits (in orders of magnitude). The analysis of the scheme decomposes the system into Ω(√n) independent Z-channels whose crossover probability is found via the (recently rigorously established) Lifshitz law of phase boundary movement. Finally, two order optimal characterizations of In(t), for all t, are given for the grid dynamics with an external magnetic field and for the dynamics on the Honeycomb lattice. It shown that In(t)=Θ(n) in both cases, suggesting their superiority over the grid without an external field for storage purposes.

Ziv Goldfeld - One of the best experts on this subject based on the ideXlab platform.

  • Information Storage in the Stochastic Ising Model at Low Temperature
    2019 IEEE International Symposium on Information Theory (ISIT), 2019
    Co-Authors: Ziv Goldfeld, Guy Bresler, Yury Polyanskiy
    Abstract:

    Motivated by questions of data stabilization in emerging magnetic storage technologies, we study the retention of information in interacting particle systems. The interactions between particles adhere to the stochastic Ising model (SIM) on the two-dimensional (2D) √n × √n grid. The measure of interest is the information capacity In(t) =△ maxpX0 I(X0; Xt), where the initial spin configuration X0 is a user-Controlled Input and the output configuration Xt is produced by running t steps of Glauber dynamics. After the results on the zero-temperature regime reported last year, this work focuses on the positive but low temperature regime. We first show that storing more than a single bit for an exponential time is impossible when the initial configuration is drawn from the equilibrium distribution. Specifically, if X0 is drawn according to the Gibbs measure, then I(X0; Xt) ≤ 1 + o(1) for t ≥ exp (cn1/4+ε). On the other hand, when scaling time with β, we propose a stripe-based coding scheme that stores order of √n bits for exp(β) time. Key to the analysis of the scheme is a new result on the survival time of a single plus-labeled stripe in a sea of minuses. Together, the 1-bit upper bound and the striped-based storage scheme constitute initial steps towards a general analysis of In(t) for β > 0.

  • Information Storage in the Stochastic Ising Model at Zero Temperature
    2018 IEEE International Symposium on Information Theory (ISIT), 2018
    Co-Authors: Ziv Goldfeld, Guy Bresler, Yury Polyanskiy
    Abstract:

    Most information systems store data by modifying the local state of the matter, in the hope that atomic (or subatomic) local interactions would stabilize the state for sufficiently long time, thereby allowing later recovery. In this work we initiate the study of information retention properties of locally-interacting systems. We model the time-dependent interactions between the different particles via the stochastic Ising model (SIM). The initial spin configuration X0 serves as the user-Controlled Input. The output configuration Xt is produced by running t steps of the Glauber chain. Our main goal is to evaluate the information capacity In(t) =̂ maxpX0 I(X0; Xt) when the time t scales with the size or the system n according to various rates. For the zero-temperature SIM on the two-dimensional √n×√n grid and free boundary condition, it is easy to show that In(t)=Θ(n) as long as t=O(n). In addition, we show that order of √n bits can be stored for infinite time (and even with zero error). The √n achievability is optimal when t→∞ and n is fixed. Our main result is in extending achievability to super-linear (in n) times via a coding scheme that reliably stores more than √n bits (in orders of magnitude). The analysis of the scheme decomposes the system into Ω(√n) independent Z-channels whose crossover probability is found via the (recently rigorously established) Lifshitz law of phase boundary movement. Finally, two order optimal characterizations of In(t), for all t, are given for the grid dynamics with an external magnetic field and for the dynamics on the Honeycomb lattice. It shown that In(t)=Θ(n) in both cases, suggesting their superiority over the grid without an external field for storage purposes.

Ernesto Araujo - One of the best experts on this subject based on the ideXlab platform.

  • Fuzzy breast cancer risk assessment
    2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014
    Co-Authors: Aniele C. Ribeiro, Deborha P. Silva, Ernesto Araujo
    Abstract:

    A breast cancer risk assessment based on fuzzy set theory and fuzzy logic is proposed in this paper. The proposed fuzzy breast cancer system maps two Controlled and two non-Controlled Input variables into the risk of breast cancer occurrence. Such an approach covers the age, menopause, simplified fuzzy body mass index (FBMI), and the existence of hormone replacement as Input linguistic variable. The risk of a woman developing breast cancer is the outcome of the proposed fuzzy breast cancer risk analysis. The resulting fuzzy breast cancer diagnostic decision system for helping support to evaluate patients with such a clinical condition is an alternative to support healthcare professionals in such a complex health diagnosis.

  • FUZZ-IEEE - Fuzzy breast cancer risk assessment
    2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014
    Co-Authors: Aniele C. Ribeiro, Deborha P. Silva, Ernesto Araujo
    Abstract:

    A breast cancer risk assessment based on fuzzy set theory and fuzzy logic is proposed in this paper. The proposed fuzzy breast cancer system maps two Controlled and two non-Controlled Input variables into the risk of breast cancer occurrence. Such an approach covers the age, menopause, simplified fuzzy body mass index (FBMI), and the existence of hormone replacement as Input linguistic variable. The risk of a woman developing breast cancer is the outcome of the proposed fuzzy breast cancer risk analysis. The resulting fuzzy breast cancer diagnostic decision system for helping support to evaluate patients with such a clinical condition is an alternative to support healthcare professionals in such a complex health diagnosis.

Guy Bresler - One of the best experts on this subject based on the ideXlab platform.

  • Information Storage in the Stochastic Ising Model at Low Temperature
    2019 IEEE International Symposium on Information Theory (ISIT), 2019
    Co-Authors: Ziv Goldfeld, Guy Bresler, Yury Polyanskiy
    Abstract:

    Motivated by questions of data stabilization in emerging magnetic storage technologies, we study the retention of information in interacting particle systems. The interactions between particles adhere to the stochastic Ising model (SIM) on the two-dimensional (2D) √n × √n grid. The measure of interest is the information capacity In(t) =△ maxpX0 I(X0; Xt), where the initial spin configuration X0 is a user-Controlled Input and the output configuration Xt is produced by running t steps of Glauber dynamics. After the results on the zero-temperature regime reported last year, this work focuses on the positive but low temperature regime. We first show that storing more than a single bit for an exponential time is impossible when the initial configuration is drawn from the equilibrium distribution. Specifically, if X0 is drawn according to the Gibbs measure, then I(X0; Xt) ≤ 1 + o(1) for t ≥ exp (cn1/4+ε). On the other hand, when scaling time with β, we propose a stripe-based coding scheme that stores order of √n bits for exp(β) time. Key to the analysis of the scheme is a new result on the survival time of a single plus-labeled stripe in a sea of minuses. Together, the 1-bit upper bound and the striped-based storage scheme constitute initial steps towards a general analysis of In(t) for β > 0.

  • Information Storage in the Stochastic Ising Model at Zero Temperature
    2018 IEEE International Symposium on Information Theory (ISIT), 2018
    Co-Authors: Ziv Goldfeld, Guy Bresler, Yury Polyanskiy
    Abstract:

    Most information systems store data by modifying the local state of the matter, in the hope that atomic (or subatomic) local interactions would stabilize the state for sufficiently long time, thereby allowing later recovery. In this work we initiate the study of information retention properties of locally-interacting systems. We model the time-dependent interactions between the different particles via the stochastic Ising model (SIM). The initial spin configuration X0 serves as the user-Controlled Input. The output configuration Xt is produced by running t steps of the Glauber chain. Our main goal is to evaluate the information capacity In(t) =̂ maxpX0 I(X0; Xt) when the time t scales with the size or the system n according to various rates. For the zero-temperature SIM on the two-dimensional √n×√n grid and free boundary condition, it is easy to show that In(t)=Θ(n) as long as t=O(n). In addition, we show that order of √n bits can be stored for infinite time (and even with zero error). The √n achievability is optimal when t→∞ and n is fixed. Our main result is in extending achievability to super-linear (in n) times via a coding scheme that reliably stores more than √n bits (in orders of magnitude). The analysis of the scheme decomposes the system into Ω(√n) independent Z-channels whose crossover probability is found via the (recently rigorously established) Lifshitz law of phase boundary movement. Finally, two order optimal characterizations of In(t), for all t, are given for the grid dynamics with an external magnetic field and for the dynamics on the Honeycomb lattice. It shown that In(t)=Θ(n) in both cases, suggesting their superiority over the grid without an external field for storage purposes.

D.m. Divan - One of the best experts on this subject based on the ideXlab platform.

  • Simple topologies for single phase AC line conditioning
    IEEE Transactions on Industry Applications, 1994
    Co-Authors: Chingchi Chen, D.m. Divan
    Abstract:

    This paper presents a variety of single phase AC line conditioning approaches. The topologies use a minimal number of devices and feature buck-boost voltage regulation capability without a transformer, while preserving a neutral connection which is common with the Input AC line. The simplest form of the converter is seen to be an AC voltage regulator with output voltage range of 0-2 p.u. with reasonable line current waveform. Modifications allow the circuit to operate with fully Controlled Input current. The circuit can be further extended to provide significant ride-through capability without using a battery. Finally, a full function single phase UPS can also be realized if required. The paper contains analytical, simulation and experimental results.

  • Simple topologies for single phase AC line conditioning
    Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting, 1991
    Co-Authors: Chingchi Chen, D.m. Divan
    Abstract:

    A variety of single phase AC line conditioning approaches are presented. The topologies use a minimal number of devices and feature buck-boost voltage regulation capability without a transformer, while preserving a neutral connection which is common with the Input AC line. The simplest form of the converter is seen to be an AC voltage regulator with output voltage range of 0-2 p.u. with reasonable line current waveforms. Modifications allow the circuit to operate with fully Controlled Input current. The circuit can be further extended to provide significant ridethrough capability without using a battery. A full function single phase UPS can also be realized if required. Analytical, simulation, and experimental results are given.