In this work, we suggest a new set of quaternion discrete radial Krawtchouk moments (QDRKMs) for color image reconstruction and classification. These new discrete moments are represented over a disk by using discrete orthogonal radial Krawtchouk moments. The use of Quat...

Target tracking is one among the foremost aspects usually utilized in microwave radar applications, police investigation, communication, embedded systems, etc. In particular, tracking is crucial in single as well as multiple object environments. The target Motion is ana...

Electronic Health Record, which comprises of medical imagery, patient history, prescription and clinical observations is a highly sensitive data. This data is not generally sent over the network in its original form as it is prone to numerous security related issues. Ge...

Achieving highly detailed terrain models spanning vast areas is crucial to modern computer graphics. The pipeline for obtaining such terrains is via amplification of a low-resolution terrain to refine the details given a desired theme, which is a time-consuming and labo...

Hyper-spectral image can provide precise information on land surface targets identification and classification thanks to its advanced feature on spectral resolution. However, due to its complicated hyper-dimension data structure, greater challenge is put on the conventi...

Segmentation technique is a commonly used method to detect white blood cells. The segmentation technique aims to separate the blood image into several parts based on the similarity of features in the image. Therefore, the detection results do not completely contain whit...

We consider the problem of approximating given shapes so that the surface normals are restricted to a prescribed discrete set. Such shape approximations are commonly required in the context of manufacturing shapes. We provide an algorithm that first computes maximal int...

This paper, based on the research of the object-oriented software testing technology and the J2EE architecture, generates the testing strategies for the Web system based on the J2EE Platform. It presents a two-layer testing strategy in which unit testing and acceptance ...

The abnormal event detection becomes an important topic recently. This paper presents a method to detect the crowd gathering, as well as the commotion event after the crowd gathering. The proposed stillness model and the motion model are based on the improved background...

Abstract meaning representations (AMRs) represent sentence semantics as rooted labeled directed acyclic graphs. Though there is a strong correlation between the AMR graph of a sentence and its corresponding dependency tree, the recent neural network AMR parsers do negle...

Chaos maps are widely used in image encryption systems due to their intrinsic advantages such as extreme sensitivity to initial values., ergodicity and pseudo-randomness. 1D Logistic map has attracted the attention of researchers due to its simple structure and easy imp...

Video highlight detection is a technique to retrieval short video clips that capture a user’s primary attention or interest within an unedited video. There exists a substantial interest in automatizing highlight detection to facilitate efficient video browsing. Recent r...

Multilevel thresholding is a simple and important method for image segmentation in various applications that has drawn widespread attention in recent years. However, the computational complexity increases correspondingly when the threshold levels increase. To overcome t...

The development of software to produce Visual Effects is based on a unique model. The majority of large companies across the film industry have taken a distinctive approach for three decades, which might explain their ongoing business success, despite the same tough con...

Methods and tools for detecting and measuring ambiguity in texts have been proposed for years, yet their efficacy is still under study for improvement, encouraged by results in various application fields (requirements, legal documents, interviews, ...). The paper presen...

The aim of structure extraction is to decompose an image into prominent structures and textures. In this paper, we present a new structure extraction method which has two main steps. First, high-frequency components due to the texture information in the original image a...

Axle is an important part of high-speed train. The axle is the key component connecting the train wheelset, which has a great impact on the train safety. The health monitoring of axles is very important for the safe and smooth operation of trains. The axle health detect...

Due to the enormous amount of detail and the interplay of various biological phenomena, modeling realistic ecosystems of trees and other plants is a challenging and open problem. Previous research on modeling plant ecologies has focused on representations to handle this...

Cyclist trajectory prediction is of great significance for both active collision avoidance and path planning of intelligent vehicles. This paper presents a trajectory prediction method for the motion intention of cyclists in real traffic scenarios. This method is based ...

We propose a novel learning method to rectify document images with various distortion types from a single input image. As opposed to previous learning-based methods, our approach seeks to first learn the distortion flow on input image patches rather than the entire imag...

The standard development of 5G wireless communication culminated between 2017 and 2019, followed by the worldwide deployment of 5G networks, which is expected to result in very high data rate for enhanced mobile broadband, support ultra-reliable and low-latency services...

Due to its powerful ability to conceal secret data inside an unsuspicious cover object, image steganography has emerged as an active field of research. Recently, a lot of advancements in relation to software and hardware have been carried out, allowing for faster proces...

The shader system for a modern game engine comprises much more than just compilation of source code to executable kernels. Shaders must also be exposed to art tools, interfaced with engine code, and specialized for performance. Engines typically address each of these ta...

The topic of the article is a continuation of the works about violin sound recognition. This paper shows how to achieve higher quality of recorded sound, which is closer to human's subjective perception, using signal processing and algorithms, which consider using violi...

Coco presented a challenge for the garment shading team. Firstly, the scale of the movie is significant with both the human and skeleton worlds filled with primary, secondary, and background characters. Secondly, the garments speak to a specific culture and our shading ...

Glaucoma, diabetic retinopathy, and other eye diseases have seriously threatened people’s visual health. Whether it is clinical diagnosis or computer-aided diagnosis, the accurate segmentation of the retinal tissues and lesion areas (optic disc (OD), optic cup (OC), ret...

Bus passenger flow statistics can be used to improve passenger travelling experience and reduce trip delay, this is very important for intelligent transportation. In this paper, a bus passenger flow statistics algorithm based on SSD (Single Shot MultiBox Detector) and K...

Learning style is one of the significant elements in learning process that helps students achieve their learning goals. Nevertheless, students should be aware of their own style in learning which make them maximally enhance learning. Therefore, in study, the researcher ...

As the security threat and crime rate have been increased all over the globe, the video surveillance system using closed-circuit television (CCTV) has become an essential tool for many security-related applications and is widely used in many areas as a monitoring system...

Although a significant body of literature has been devoted to establish metrics capable of measuring the performance of manufacturing systems (including foundries) and their influence on decision-making, there is a scarcity of comprehensive and organic studies on perfor...

Blockchain is an emerging technology that underlies creation and exchange of the digital assets, including cryptocurrency such as Bitcoin and Ether, without the need for a central authority. It provides a public ledger for recording sequence of transactions in blocks th...

Recent advances in processing capabilities of hardware devices and 5 g spectrum availability has not only made the life of users heaven but has also instigated intruders to crack the security mechanism easily. Therefore, it is mandatory for the researcher to enhance the...

Storage backends of parallel compute clusters are still based mostly on magnetic disks, while newer and faster storage technologies such as flash-based SSDs or non-volatile random access memory (NVRAM) are deployed within compute nodes. Including these new storage techn...

Nowadays, most of the traffic in vehicular networks is relevant to content, so the content-to-requester method could be an ideal solution for vehicular content delivery. However, due to the features of vehicular networks such as high mobility, the content-to-requester p...

The paper presents a novel QR code based color image steganography to facilitate remote transmission of ECG signal along with patient diagnosis data. The proposed system is configured with two stag...

Floating Car Data (FCD) is GNSS-tracked vehicle movement, includes often large data size and is difficult to handle, especially in terms of visualization. Recently, FCD is often the base for interactive traffic maps for navigation and traffic forecasting. Handling FCD i...

We propose a human avatar representation scheme based on intrinsic coordinates, which are invariant to isometry and insensitive to human pose changes, and an efficient pose transfer algorithm that can utilize this representation to reconstruct a human body geometry foll...

The paper proposes a novel video segmentation system with maiden application of CIEDE2000 colour-difference and mean luminace pattern. CIEDE2000 colour-difference uses Lab colour space which is a stable and efficient colour space. The main advantage of Lab colour space ...

Infrared small target detection (ISTD) is a critical technique in both civil and military applications such as leak and defect inspection, cell segmentation for medicine analysis, early-warning systems and so on. Over the last decade, numerous ISTD methods have been pro...

This paper mainly discusses the stabilization problem for discrete-time Markov jump linear systems (MJLSs) involving multiplicative noise with an infinite horizon. The cost weighting matrices are generalized to be indefinite. To the best of our knowledge, this paper is ...