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In this paper, we describe the development of an end-to-end factoid question answering system for the Vietnamese language. This system combines both statistical models and ontology-based methods in a chain of processing modules to provide high-quality ...

We prove nearly matching upper and lower bounds on the randomized communication complexity of the following problem: Alice and Bob are each given a probability distribution over n elements, and they wish to estimate within ±ε the statistical (total ...

Outlier detection is the process of identifying the data objects that do not comply with the normal behavior of the defined data model. Used in automated data analysis, it ensures the desired data quality and reliability. This field has attracted ...

The term social network means to develop traditional communication among people. As it becomes online, the people in communication don't have face-to-face contact and also they may be known or unknown. Though known, there is no guarantee and confident ...

Recent advances in the computing industry towards multiprocessor technologies shifted the dominant method of performance increase from frequency scaling to parallelism. Due to its huge design space, evaluating candidate multicore architectures in early ...

The capacity of the power system is assessed as a function of the number of trains transiting per day, and of the average time delay between one service and the next. A stochastic element is introduced by randomly varying the time delay between ...

Nowadays, enterprise software systems store a large amount of operational information in logs. Manually analysing these data can be time-consuming and error-prone. Although a static knowledge database eases the task to capture recurring problems, ...

In order to evaluate large, heterogeneous information systems (i.e., comprising modules developed in diverse programming languages) a method to detect dependencies among these modules is needed. Although there is a variety of methods that can detect ...

In this paper we try to characterize wireless sensor network (WSNs) performance uncertainty (PU) attribute, identify the source and cause of PU, then we challenge that performance stability should treated seriously as one metric among other important ...

The exploration of the design space for complex hardware-software systems requires accurate models for the system components, which are often not available in early design phases, resulting in error-prone resource estimations. For a HWSW system with a ...

For uncertainty involved design optimization problems, it requires that the distributions of all concerned design variables and parameters are known. Aiming to determining the statistical distributions of data for all possible cases, corresponding ...

Seismic data is generated by a sharp pulse, which transforms into to Earth and is reflected by the layer status in the Earth. The Data is 3D or 2D. Because of transforming through the Earth, Seismic data has wide main lobe and strong side lobe, which is ...

This work presents a post-placement, leakage recovery methodology, based on gate resizing, which supports and preserves statistical constraints, i.e. a (mean, sigma) constraint pair during leakage optimization. We exploit statistical models for delay ...

This paper introduces a large-scale dual-mode stochastic system to automatically diacritize raw Arabic text. The first of these modes determines the most likely diacritics by choosing the sequence of full-form Arabic word diacritizations with maximum ...

The patch transform represents an image as a bag of overlapping patches sampled on a regular grid. This representation allows users to manipulate images in the patch domain, which then seeds the inverse patch transform to synthesize modified images. ...

Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process parameters, supply voltage and temperature can be modeled accurately with ANNs. ...

Many DTM schemes rely heavily on the accurate knowledge of the chip's dynamic thermal state to make optimal performance/temperature trade-off decisions. This information is typically generated using a combination of thermal sensor inputs and various ...

This article addresses the problem of chip-level thermal profile estimation using runtime temperature sensor readings. We address the challenges of: (a) availability of only a few thermal sensors with constrained locations (sensors cannot be placed just ...

Thermal/power issues have become increasingly important with more and more transistors being put on a single chip. Many dynamic thermal/power management techniques have been proposed to address such issues but they all heavily depend on accurate ...

Embedded SRAM dominates modern SoCs, and there is a strong demand for SRAM with lower power consumption while achieving high performance and high density. However, the large increase of process variations in advanced CMOS technologies is considered one ...