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Diabetic Retinopathy and Diabetic Macular Edema are diseases that affect vision and eventually may lead to blindness. Early detection is a must to prevent the progression of the disease imploring the need for effective computer-aided diagnostic techniques. In the following research paper, a robust method has been proposed to segment hard exudates from digital, color fundus images using anisotropic...
Data query comparison of large data should process a large number of datasets, which is the core for basic research projects. In the selection of analysis factors, how to choose a better way to provide data analysis library can be very helpful for quickly analysis and search comparison. In this study, we try to design and study, improve the speed of data query and comparison in big datasets, and find...
SAR is a very popular instrument for imaging of the ground surface. Possibility of high-resolution image formation makes it superior tool for various information extraction tasks. In the paper, a problem of automatic target recognition is comprehensively analyzed. An idea of azimuth and range target profiles fusion is proposed. It is demonstrated, that usage of a proper image preprocessing with appropriate...
In the context of a growing need for dedicated solutions in the field of human space mission support, this paper proposes an emotion assessment system and its dedicated implementation architecture. The proposed system is described and a pilot implementation of the emotion assessment system is developed utilizing open source software OpenFace for detection of key facial features, called Action Units...
Feature extraction for an optimal data representation is crucial for any biometric identification system. A new fuzzy-based feature extraction algorithm for an effective biometric identification system is proposed in this paper. The Sugeno-Takagi Fuzzy System is used for the image modeling. The system parameter are systematically adjusted by using a recursive algorithm. The proposed algorithm is integrated...
The paper proposes a simple, low-cost signature verification approach and software that can be employed as one of the components of a more sophisticated personal identification system. The identification is based on the use of local binary pattern features of a signature image. The Support Vector Machine (SVM) model is chosen to classify the authentic signatures from their imitations.
The paper presents the emotions recognition for positive and negative emotions for Romanian language. The main purpose of this study is to highlight how emotions are recognized if it is not wanted to identify with precision the expressed emotion, but the emotion in general: positive, negative or neutral. This can be useful for a human-machine interface. The positive emotions were recognized with an...
In the field of civil engineering, Ground Penetrating Radar (GPR) is the most widely used method of Non-Destructive Testing (NDT). Using supervised learning methods or signal processing methods, it is possible to analyze the sub-surface defects in pavement. In this paper, we propose to use a supervised machine learning method called Support Vector Machines (SVM) to detect the presence of debondings...
A facial expression is exhibited by the movement of muscles underneath the face skin. Automatic Facial Expression Recognition comprises of three main phases: Feature Extraction, Feature Selection and Expression Classification. Facial Expression Recognition (FER) has a very important role in computer vision, human machine interaction and modern gaming. The objective of this research work is to explore...
Ground Penetrating Radar (GPR) has been a precious tool for humanitarian demining. The GPR scans the ground and delivers a three-dimensional matrix representing three types of data: Ascan, Bscan and Cscan. The Ascan data represents the response from a reflection signal of a pulse emitted by the GPR at a given position. In the proposed landmine detection method, the Ascan data is normalized and then...
This paper proposes a facial expression recognition method based on a novel facial decomposition. First, seven regions of interest (ROI), representing the main components of face (left eyebrow, right eyebrow, left eye, right eye, between eyebrows, nose and mouth), are extracted using facial landmarks detected by IntraFace algorithm. Then, different local descriptors, such as LBP, CLBP, LTP and Dynamic...
Sparse representation based classification (SRC) has been introduced as a new algorithm for face recognition classification instead of the classical gradient-based algorithms. However, there are some limitations that influence the robustness properties in SRC. One of the most effective parameters that impacts the SRC performance is the directory of training samples. It should contain enough samples...
It is well recognized that the signal processing methods contributes in biology to the control of the DNA spatial structure. From the previous studies, it is inferred that the significant portion of the eukaryotic genomes is composed of transposable elements (TEs). The TEs play an important role as a driving force of genome evolution. An important sub class of ETs class II, Helitrons, have been revealed...
In this work, the problem of dynamic video scene creation obtained by combining information extracted from multiple video sequences is considered. The main novelty of the proposed approach relies on the use of aesthetic features for automatically aggregating the inputs from different cameras in a unique video. While prior methodologies have separately addressed the issues of aesthetic feature extraction...
In the last 57 years, face biometrie researchers have achieved many successes. Face recognition systems have been extensively used in government as well as commercial applications such as mobile, banking and surveillance systems etc. In the last 10 years, the whole biometric community such as researchers, developers, and retailers have worked on challenging tasks to develop a more accurate protection...
The back-end database is pivotal to the storage of the massive size of big data Internet exchanges stemming from cloud-hosted web applications to Internet of Things (IoT) smart devices. Structured Query Language (SQL) Injection Attack (SQLIA) remains an intruder's exploit of choice on vulnerable web applications to pilfer confidential data from the database with potentially damaging consequences....
Embedded dictation, i.e. recognizing vocal commands in noisy environments, with good accuracy and using low complexity implementations is a desirable task with many applications. Such applications include automotive infotainment solutions particularly when no connectivity is available, personal assistants including embedded dictation solutions for disabled people, and so on. This paper reports our...
During the past decade, non-coding RNA has been an exploding area of interest for researches from many fields, from cellular biology to medical applications. A commercial application of these molecules is the RNA interference process (RNAi) from which there are available reagents and a database of documented unwanted side effects, such as the generation of an immunomodulatory response that might be...
This paper presents a novel approach based on the analysis of genetic variants from publicly available genetic profiles and the manually curated database, the National Human Genome Research Institute Catalog. Using data science techniques, genetic variants are identified in the collected participant profiles and then indexed as risk variants in the National Human Genome Research Institute Catalog...
Outdoor sports equipment without maintenance usually caused injury to users. This paper proposes to design an App notification system combine with IoT to monitor the equipment status. We converted our action signal into frequency domain for analysis. But the useless signal might decline classifier efficiency. Therefore we propose an empirical support vector machine (SVM) to reduce the useless signal...
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