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X-ray crystallography is an experimental technique to estimate the 3D atomic positions of the elements present in a crystal. This technique constructs the 3D structure from the phase of diffracted and patterned X-rays (DPX). Multiple intensity DPX measurements are acquired to solve the phase retrieval problem. The feasibility of implementing this technique depends on solving the phase retrieval problem...
How to accurately evaluate the impact of design change during the whole design, and make decisions on the change request is the most important problem facing the complex product design changes. By means of studying the change rule of node state and the mechanism of change propagation in complex product design network, the improved cuckoo search algorithm is used to solve the design change propagation...
Community detection has a very important role in data processing and analysis, which is very hot in recent years. However, traditional algorithms have shortcomings in both time complexity and precision. In this paper, we introduce a Modified Genetic Algorithm (MGA) that with alleles encoding and half uniform crossover to detect community structure. In the algorithm, each allele of the chromosome stands...
Stochastic computing (SC) allows for extremely low cost and low power implementations of common arithmetic operations. However inherent random fluctuation error and long latency of SC lead to the degradation of accuracy and energy efficiency when applied to convolutional neural networks (CNNs). In this paper we address the two critical problems of SC-based CNNs, by proposing a novel SC multiply algorithm...
Millimiter wave (mmWave) systems require precoding/combining framework and large antennas arrays. Due to the hardware constraints, we need new hybrid architectures. If we are aiming to reduce cost and number of radio frequency (RF) chains, it is preferred to adopt a hybrid design using switches to multiple antennas, based on antenna subset selection with baseband combining. In this paper, we propose...
Lattice-based cryptography is a promising family of post quantum algorithms. Contrary to other approaches, lattice-based primitives are extremely versatile and allow the realisation of several essential cryptographic primitives, such as encryption and digital signatures. In addition, they enable more sophisicated schemes to be constructed, such as Identity-based and Attribute-based Encryption, and...
H.264 advanced video coding (AVC) is prolonged to scalable video coding (SVC) for all categories of network transmission. Due to the adoption of exhaustive full search method, SVC computational complexity (CC) has increased when compared to AVC. To reduce the computational complexity, various fast mode decision (FMD) algorithms have been developed. In FMD algorithms, the selection of mode in macro...
Smart home environment is typically comprised of two parts: a home gateway and a number of home appliances. One of the challenges faced by ZigBee is its resource-efficient firmware update. A commonly used method is to compress the firmware before sending it to the ZigBee end nodes. The receiver side, i.e., the ZigBee end nodes, have limited resources in terms of storage and communication bandwidth...
Detecting spelling errors and correcting those errors automatically is a great research challenge. Developing a precise spell checker for Bangla language which detects spelling errors and provides suggestions for correcting those errors, is quite difficult because of the complex rules of Bangla spelling. In this paper, a clustering-based spell checking technique is proposed for Bangla language that...
Rectangular packing problem is common in the manufacturing industry. It is essentially a NP hard combinational optimization problem. In this paper, a novel algorithm based on dynamic updating of packing point set is proposed to deal with rectangular packing problem. In the process of packing, we update the packing point set dynamically. After placing a part, we need remove the packing point that has...
A holistic approach is needed to impart abstract thinking and Programming skills among the students to enable them to be successful developers when they get employed in an IT organization where the organizations are transforming towards digital technologies. Though computer programming curriculum comprises of essential topics of programming, there is wide gap between the industry expectations from...
Recently standardized by the Joint Video Team (JVT) of ITU-T Video Coding Experts Group (VCEG) and ISO/IEC Moving Picture Experts Group (MPEG), the High Efficiency Video Coding (HEVC) was adopted to replace the H264/AVC with better compression performance that facilitates video transmission and storage while maintaining the same reconstructed video quality. This excellent coding efficiency is performed...
A duration of century past over to the invention of electrocardiogram (ECG) but even today also electrocardiogram (ECG) monitoring is playing its important role of help to take care of patients having cardiac diseases. Electrocardiogram (ECG) data compression is important for portable solutions, for reducing the storage requirements and low power consumption. Large variety of ECG compression algorithms...
Credit risk analysis seeks to determine whether a customer is likely to default on the financial obligation, which is a very important problem in finance. In this paper, we will present a machine learning framework to deal with this problem by formulating it as a binary classification problem. The framework consists of two parts: dictionary learning and classifier training. Firstly, we introduce a...
Sparsity-based techniques have been popular in many applications in signal and image processing. In particular, the data-driven adaptation of sparse signal models such as the synthesis model has shown promise in applications. However, dictionary learning problems are typically nonconvex and NP-hard, and the usual alternating minimization approaches for learning are often expensive and lack convergence...
High Efficiency Video Coding (HEVC) achieves the most significant coding efficiency compared with all the existing video coding standards. However, the Intra encoding complexity is increased dramatically since the complex recursive search algorithm for the coding unit (CU) size decisions. In this paper, a fast CU size decision algorithm based on Support Vector Machines (SVM) is proposed to further...
In this paper, three new algorithms are presented by applying group idea and collaborative thought to projective dictionary pair learning (DPL). These algorithms further extend the framework of discriminative dictionary learning (DL). Based on projective dictionary pair learning which realizes the goals of signal representation and pattern classification by learning a synthesis dictionary and an analysis...
Data shuffling is one of the fundamental building blocks for distributed learning algorithms, that increases the statistical gain for each step of the learning process. In each iteration, different shuffled data points are assigned by a central node to a distributed set of workers to perform local computation, which leads to communication bottlenecks. The focus of this paper is on formalizing and...
With the advent of the Internet and wide-spread popularity of online technology-enhanced learning platforms, many pedagogical activities today involve learners in online discussions such as synchronous chat. In this study, we describe a text mining method used for analyzing teamwork from such chat dialogue of students. The steps in the text mining method such as pre-processing and classification are...
In recent years many different subspace clusteringalgorithms and related methods have been proposed. Theypromise to not only find hidden structures in data sets, but also toselect for each structure the features, which are most prominent. Yet, most of these methods suffer from the same problem:finding a satisfactory clustering result heavily depends on anadequate configuration of the parameters. In...
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