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- research-articleJuly 2024
Optimal allocation of distribution generation sources with sustainable energy management in radial distribution networks using metaheuristic algorithm
Computers and Electrical Engineering (CENG), Volume 116, Issue Chttps://doi.org/10.1016/j.compeleceng.2024.109142AbstractThe optimal allocation and distribution of power from various distribution sources, supported by effective energy management, pose significant research challenges in distribution networks. This article aims to minimize the daily operational cost ...
- research-articleJune 2024
Extending lagrangian and hamiltonian neural networks with differentiable contact models
NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing SystemsArticle No.: 1677, Pages 21910–21922The incorporation of appropriate inductive bias plays a critical role in learning dynamics from data. A growing body of work has been exploring ways to enforce energy conservation in the learned dynamics by encoding Lagrangian or Hamiltonian dynamics ...
- posterNovember 2016
Towards Making an Anonymous and One-Stop Online Reporting System for Third-World Countries
- Tarik Reza Toha,
- Md. Moyeen Uddin,
- MD. Nayeem Reza,
- Md. Abdullah Al Maruf,
- Amit Chakraborty,
- A. B. M. Alim Al Islam
ACM DEV '16: Proceedings of the 7th Annual Symposium on Computing for DevelopmentArticle No.: 24, Pages 1–4https://doi.org/10.1145/3001913.3006633Under-reporting is one of the main causes of failure to solve social problems, which obstruct national development in third-world countries. A one-stop online reporting system can facilitate minimizing the extent of under-reporting, which is yet to be ...
- articleNovember 2016
Proximal gradient method for huberized support vector machine
Pattern Analysis & Applications (PAAS), Volume 19, Issue 4Pages 989–1005https://doi.org/10.1007/s10044-015-0485-zThe support vector machine (SVM) has been used in a wide variety of classification problems. The original SVM uses the hinge loss function, which is non-differentiable and makes the problem difficult to solve in particular for regularized SVMs, such as ...
- ArticleJuly 2015
Alternating Direction Method of Multipliers for Regularized Multiclass Support Vector Machines
Revised Selected Papers of the First International Workshop on Machine Learning, Optimization, and Big Data - Volume 9432Pages 105–117https://doi.org/10.1007/978-3-319-27926-8_10The support vector machine SVM was originally designed for binary classifications. A lot of effort has been put to generalize the binary SVM to multiclass SVM MSVM which are more complex problems. Initially, MSVMs were solved by considering their dual ...
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- articleMarch 2012
Erd-medlda: Entity relation detection using supervised topic models with maximum margin learning
Natural Language Engineering (NLEJ), Volume 18, Issue 2Pages 263–289https://doi.org/10.1017/S1351324912000058This paper proposes a novel application of topic models to do entity relation detection (ERD). In order to make use of the latent semantics of text, we formulate the task of relation detection as a topic modeling problem. The motivation is to find ...
- ArticleJanuary 2012
Necessary and sufficient conditions for observability in power systems
ISGT '12: Proceedings of the 2012 IEEE PES Innovative Smart Grid TechnologiesPages 1–8https://doi.org/10.1109/ISGT.2012.6175781The notion of observability, is a measure of how well internal states of a system can be reconstructed using a given set of measurements. In this paper, we derive necessary and sufficient conditions for observability in a power system. Deriving ...
- ArticleJanuary 2012
Topology identification in distribution network with limited measurements
ISGT '12: Proceedings of the 2012 IEEE PES Innovative Smart Grid TechnologiesPages 1–6https://doi.org/10.1109/ISGT.2012.6175638We consider here the problem of detecting changes in the status of switching devices, circuit breakers in particular, in distribution networks. The lack of measurements in distribution networks compared to transmission networks is the main challenge of ...
- research-articleJune 2011
A combination of topic models with max-margin learning for relation detection
TextGraphs-6: Proceedings of TextGraphs-6: Graph-based Methods for Natural Language ProcessingPages 1–9This paper proposes a novel application of a supervised topic model to do entity relation detection (ERD). We adapt Maximum Entropy Discriminant Latent Dirichlet Allocation (MEDLDA) with mixed membership for relation detection. The ERD task is ...
- research-articleDecember 2010
Robust estimation of multivariate jump-diffusion processes via dynamic programming
WSC '10: Proceedings of the Winter Simulation ConferencePages 1123–1132In this work we present a framework for estimation of a rather general class of multivariate jump-diffusion processes. We assume that a continuous unobservable linear diffusion processes system is additively mixed together with a discrete jump processes ...
- ArticleDecember 2008
On-Line Monotonic Fault Diagnostics via Recursive Constrained Quadratic Programming
CIMCA '08: Proceedings of the 2008 International Conference on Computational Intelligence for Modelling Control & AutomationPages 226–231https://doi.org/10.1109/CIMCA.2008.35In this paper, we present a model-based approach for estimating fault conditions in a turbine. We formulate fault estimation as a convex optimization problem, where estimates are obtained by solving a quadratic program (QP). A moving horizon framework ...
- ArticleAugust 2005
Fractal Clustering for Microarray Data Analysis
CSBW '05: Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference - WorkshopsPages 97–98https://doi.org/10.1109/CSBW.2005.66DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional space. It is essential to identify relevant groups of genes in biomedical ...
- ArticleAugust 2005
Diagnosis and Biomarker Identi.cation on SELDI proteomics data by ADTBoost
CSBW '05: Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference - WorkshopsPages 9–10https://doi.org/10.1109/CSBW.2005.51Clinical proteomics is an emerging field that will have great impact on molecular diagnosis, identification of disease biomarkers, drug discovery and clinical trials in the post-genomic era. Protein profiling in tissues and fluids in disease and ...
- research-articleMay 2005
Background correction for cDNA microarray images using the TV+L1 model
Bioinformatics (BIOI), Volume 21, Issue 10Pages 2410–2416https://doi.org/10.1093/bioinformatics/bti341Motivation: Background correction is an important preprocess in cDNA microarray data analysis. A variety of methods have been used for this purpose. However, many kinds of backgrounds, especially inhomogeneous ones, cannot be estimated correctly ...
- ArticleJuly 2003
Extracting anchorable information units from PDF files
ICME '03: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2Pages 173–176Document processing and understanding is important for a variety of applications such as office automation, creation of electronic manuals, online documentation and annotation etc. The first step towards this process often involves the extraction of ...
- chapterOctober 2000
- ArticleJune 1999
Authoring and Viewing Video Documents Using an SGML Structure
In recent years, videos have become immensely popular. They are being generated at an enormous rate everyday. To be able to use this information in a meaningful way in conjunction with all the other media types, i.e. text, images, audio etc., it is ...
- ArticleJune 1999
Authoring and Viewing Video Documents Using an SGML Structure
ICMCS '99: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02Page 654https://doi.org/10.1109/MMCS.1999.778561In recent years, videos have become immensely popular. They are being generated at an enormous rate everyday. To be able to use this information in a meaningful way in conjunction with all the other media types, i.e. text, images, audio etc., it is ...
- research-articleJanuary 1999
Game-Theoretic Integration for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 21, Issue 1Pages 12–30https://doi.org/10.1109/34.745730Robust segmentation of structures from an image is essential for a variety of image analysis problems. However, the conventional methods of region-based segmentation and gradient-based boundary finding are often frustrated by poor image quality. Here we ...