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With the rapid growth of online content consumption, knowing end-users and having actionable content insights has become extremely important for any online content provider. Insights from user segment identification could help in developing a content recommendation as well as new content acquisition. For advertisers, identifying segments could assist in designing ad campaigns with greater target accuracy...
The increased popularity of Massive Open Online Courses (MOOC) and e-learning has constantly increased video-based online education platforms. There are also many video lectures for software engineering education in online education platforms. Although online lectures have many advantages, there are also limitations. We performed a verification research to see if high frequency words can detect mind...
Gender recognition from facial images has become one of challenging research problem in computer vision, security, verbal-nonverbal communication and human computer interaction applications nowadays. Because facial images include many information such as gender, facial expressions, age, ethnic origin in computer-aided applications, the success rate of the gender recognition depends on quality of facial...
This paper proposes an algorithm for QRS-complex onset detection in single channel ECG signals based on the first differential of the ECG signal and an adaptive baseline estimation. The proposed algorithm was developed and tested using the Physionet QT Database. A 100% detection rate on the onset of the QRS complex, with a mean error±(standard deviation) of −0.48±(11.26) ms was achieved against the...
Advancements in both computer science and biotechnology opened way for an unprecedented amount and variety of gene expression raw data to appear in the open access. It is sometimes worth to rearrange and unite data from several similar gene expression studies into new case-control groups to test new hypothesis using available data. Unfortunately, most popular gene expression databases, such as GEO...
This paper proposes the implementation of data analysis of the depth of scoring Kinect users' camera movements in grading Vietnamese traditional martial arts movements. The data analysis was conducted from 36 samples of 3D martial movements being currently used for teaching at schools and grading software static movements This is the first step of the implementation of self-training and evaluation...
In the last decade, we have seen the emergence of the Bitcoin crypto-currency, where the Blockchain technology builds trust transaction after transaction through a validation process. Academics focused their research on security flaws or improvement, but we identify a lack of literature on how the validation of transaction and block proceeds. In fact, understanding the validation will help the conception...
Our aim is to use randomly generated image transformation in order to obtain image features of low dimensionality. The transformation consists of local projections of spatiallyorganized parts of an image, for example rectangular image blocks. After this transformation the content of an image is hidden and will not be stably recoverable, so it can be used in systems where privacy-preserving property...
This paper presents differential pressure based flow configuration software implemented using FDT2 technology. FDT2 is a latest version of FDT standard (IEC62453) which is useful for configuration, monitoring, diagnosis and asset management of field device. Using FDT2 technology, client server system for flow configuration will be achieved keeping the interoperability of host system. The original...
This article is addicted to the analysis of the main components of informational environment in the universities. The authors provide the characteristics of the chief documents load at universities. It is proposed the informational and analytical systems to be used in order to manage the informational and documental environment at the University.
Educational Data Mining is a prominent area to explore information in educational fields using data mining algorithms. In this paper we have used few learning algorithms to effectively rate the faculty belonging to an educational institute on the basis of feedback submitted by the students. Our proposed model uses sentimental analysis and machine learning classifier algorithms for capturing the emotions...
Effective presentation skills can help to succeed in business, career and academy. This paper presents the design of speech assessment during the oral presentation and the algorithm for speech evaluation based on criteria of optimal intonation. As the pace of the speech and its optimal intonation varies from language to language, developing an automatic identification of language during the presentation...
Recognition of human emotions from the imaging templates is useful in a wide variety of human-computer interaction and intelligent systems applications. However, the automatic recognition of facial expressions using image template matching techniques suffer from the natural variability with facial features and recording conditions. In spite of the progress achieved in facial emotion recognition in...
In this paper, we have proposed a multimodal biometric verification system adopting the physiological traits-face and fingerprint. The system has been evaluated for robustness analysis imposing the Additive White Gaussian noise (AWGN) on clean data of the employed databases-AR facial database, PolyU High-resolution fingerprint database. The unimodal and multimodal (pre and post matching fusion strategies)...
Question-answering (QA) systems have recently shown impressive results in terms of accurately answering user questions in such situations as domain specific user questions. However, we have identified many real situations where QA systems must cope with not a single question-answering situation but rather a sequence of consecutive questions. In such cases, users often ask questions on the basis of...
In this paper, a hybrid broadcast broadband TV (HbbTV) test system with the automatic testing subsystem is proposed. The proposed system is based on Node.js framework with SQLite database on the backend side and Polymer framework on the front-end side. The paper covers basic testing metodology and design process with the emphasis on the implementation and testing.
The biomimetics to adopt a high-performance and high efficiency creature function for a new technology attracts attention. However, it is unknown which creature function helps the development of a new technology because the kinds of the creature are more than 1,500,000. Therefore, we propose an information retrieval system called Bio-TRIZ database by using TRIZ which attracts attention as a problem...
The XTCE (XML Telemetric and Command Exchange) standard provides a way to describe space mission telemetry and command "databases" (or dictionaries) to be exchanged across centers and space agencies. Having a standard format for describing the telemetry and command formats allows for the development or adoption of compatible tools and significantly reduces the amount of custom software development...
Due to advances in parallel file systems for big data (i.e. HDFS) and larger capacity hardware (multicore CPUs, large RAM) it is now feasible to manage and query network data in a parallel DBMS supporting SQL, but performing statistical analysis remains a challenge.On the statistics side, the R language is popular, but it presents important limitations: R is limited by main memory, R works in a different...
Patch-based image denoising can be interpreted under the Bayesian framework which incorporates the image formation model and a prior image distribution. In the sparsity approach, the prior is often assumed to obey an arbitrarily chosen distribution. Our motivation is to estimate the probability directly from the distribution of image patches extracted from good quality images, thanks to a given dictionary...
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