Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Haitham A. Hindi

dblp:09/6825 · DBLP profile ↗
← Back
3ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Distributed systems · 31% Embedded and real-time systems · 31% Performance modeling and evaluation · 24%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
distributed coordination
0.112009
Synchronized control in a large-scale networked distributed printing system · ICRA 2009
Embedded and real-time systems
networked control systems
0.112009
Synchronized control in a large-scale networked distributed printing system · ICRA 2009
Integrated circuit design › analog and mixed-signal circuits › mixed-signal circuit design
delay-locked loop
0.012009
A stochastic jitter model for analyzing digital timing-recovery circuits · DAC 2009
Distributed systems
distributed control
0.012009
Synchronized control in a large-scale networked distributed printing system · ICRA 2009
Integrated circuit design › analog and mixed-signal circuits
mixed-signal circuit design
0.012009
A stochastic jitter model for analyzing digital timing-recovery circuits · DAC 2009
Embedded and real-time systems
real-time scheduling
0.012009
Synchronized control in a large-scale networked distributed printing system · ICRA 2009

Methods — techniques the papers use, named apart from their topics

stochastic modeling · 0.1networked controllers · 0.1markov chain · 0.1exact controller synchronization · 0.1
YearPublicationVenuePosition
2009 A stochastic jitter model for analyzing digital timing-recovery circuits
abstract
This paper describes a stochastic jitter model for analyzing the performance and bit error rate (BER) of digital timing recovery circuits. The model uses parallel interconnected Markov chains to simulate the behavior of the system in response to both random and deterministic jitter. Unlike conventional Markov-chain models that require the system to be stationary, the parallel-chain model approximates deterministic changes in conditions with transitions between sub-chains. To verify the accuracy of the model, an analysis was performed on a digital delay-locked loop, and the results compared to measured data. The resulting transition probabilities and BER predicted by the proposed model are more than three orders of magnitude more accurate than those predicted by a conventional Markov-chain model.
James R. Burnham, Chih-Kong Ken Yang, Haitham A. Hindi
DAC3
2009 Synchronized control in a large-scale networked distributed printing system
abstract
As engineered systems that have traditionally been controlled centrally become more modular, distributed, and autonomous, techniques are needed to maintain control coordination among independent elements, often across a network with delays and bandwidth limitations. In particular, manufacturing systems may require tight coordination, or synchronization, among components acting on the same physical object. This paper addresses the problem of controller synchronization in such a system. We present an implementation of exact controller synchronization for independent controllers in a highly modular printing domain. Our approach, which allows networked controllers to join and leave a task dynamically, has produced excellent results on a high-speed printer prototype.
Lara S. Crawford, Haitham A. Hindi, Rong Zhou 0001, Daniel Larner
ICRA2
2007 Decompose Document Image Using Integer Linear Programming
abstract
Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. It first generates overlapping zone hypotheses based on generic visual features. Then, each candidate zone is evaluated quantitatively by a learned generative zone model. We formulate the zone inference problem into a constrained optimization problem, so as to select an optimal set of non-overlapping zones that cover a given document image. The experimental results demonstrate that the proposed method is very robust to document structure variation and noise.
Dashan Gao 0001, Yizhou Wang 0001, Haitham A. Hindi, Minh Do
ICDAR3