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Accurate estimation of detection/classification performance for sidescan sonar systems in Mine Counter-Measure (MCM) applications is important for informing mission tactics and adapting autonomous behaviors. The approach presented in this paper assumes that detection/classification performance can be estimated solely from historical data collected from similar surveys. This paper introduces an algorithm...
Opinions are key determinants to many of the activities related to software development. The perceptions of developers about an API, and the choices they make about whether and how they should use it, may, to a considerable degree, be conditioned upon how other developers see and evaluate the API. Given the plethora of APIs available for a given development task and the advent of developer forums...
In the framework of the project SFORA in Military Institute of Chemistry and Radiometry was created a detector for the detection of biological threats. The main achievements of this project are development of a mobile device capable of analyzing the air for the presence of biological contamination and adapt it to work on the unmanned platform. The following presentation will show the results of work...
The QRS complex detection methods have been extensively studied over the past several decades, and the current common QRS detection algorithms can achieve high detection accuracy on the open-access ECG database. Although massive of researches exist on the performance of QRS detectors, the effect of the ECG signal gain is usually ignored and did not attract researchers' attentions in the past studies...
A database plays a central role in the architecture of an information system, and the way it stores the data delimits its main features. However, it is not just the data that matters. The way it is handled, i.e., how the application communicates with the database is of critical importance too. Therefore the implementation of such a communication layer has to be reliable and efficient. SQL is a popular...
License Plate Detection (LPD) is the pivotal step for License Plate Recognition. In this work, we explore and customize state-of-the-art detection approaches for exclusively handling the LPD in the wild. In-the-wild LPD considers license plates captured in challenging conditions caused by bad weathers, lighting, traffics, and other factors. As conventional methods failed to handle these inevitable...
In this paper, we are proposing Bag of Feature (BoF) approach for vehicle classification using Speeded Up Robust Features (SURF). First, monocular video taken using a stationary camera is given as the input to Gaussian Mixture Model (GMM) based foreground detector. Then a grid is used to measure the number of foreground pixels. If the pixels inside the grid is greater than a pre-assigned threshold,...
This paper presents a development of a handheld device for single-channel ambulatory ECG measurements. Our ECG device is designed for easy-to-use. ECG signal will be recorded for 1 minute by placing both thumbs on two dry electrodes and we have used this device to collect ECG signals from 50 volunteers. An ECG database is created from the collected ECG signals with self-annotated locations of QRS...
Data acquisition systems for large-scale high-energy physics experiments have to handle hundreds of gigabytes per second of data, and are typically implemented as specialized data centers that connect a very large number of front-end electronics devices to an event detection and storage system. The design of such systems is often based on many assumptions, small-scale experiments and a substantial...
Palm vein recognition is a new biometric identification technology. The horizontal rotation, translation, tilting and loss of local vein information of palm vein image greatly affect recognition rate. To solve the above problems, this paper respectively extract four kinds of local invariant feature, Scale Invariant Feature Transform(SIFT), Affine-SIFT(ASIFT), Harris-Laplace and Maximally Stable Extremal...
Recent years have witnessed a growing interest in developing automatic parking systems in the field of intelligent vehicle. However, how to effectively and efficiently locating parking-slots using a vision-based system is still an unresolved issue. In this paper, we attempt to fill this research gap to some extent and our contributions are twofold. Firstly, to facilitate the study of vision-based...
We present an efficient scene layout aware object detection method for traffic surveillance. Given an input image, our approach first estimates its scene layout by transferring object annotations in a large dataset to the target image based on nonparametric label transfer. The transferred annotations are then integrated with object hypotheses generated by the state-of-the-art object detectors. We...
The Taiwan Mandarin Radio Speech Corpus consists of roughly 300 (and growing) hours of audio recordings, selected from Taiwan's National Education Radio (NER) archive. The corpus includes speech from hundreds of speakers and various speech styles (spontaneous conversational and read news). This corpus provides a rich resource for research in speech and automatic speech recognition (ASR). In this paper,...
In this work we adopt a novel approach for the detection of rectangular directional road signs in single frames captured from a moving car. These signs exhibit wide variations in sizes and aspect ratios and may contain arbitrary information, thus making their detection a challenging task with applications in traffic sign recognition systems and vision-based localization. Our proposed approach was...
We consider a particular paradigm of steganalysis, called universal blind steganalysis, namely, no knowledge of the steganographic way and all knowledge of the cover-source. Its goal is to detect all known (already existing) and unknown (previously unseen) steganographic algorithms in such a paradigm. However, the existing approaches can not achieve overall good performance on both known and unknown...
In this study, a fault detection system for a chemical processes using agent and negative selection algorithm was proposed. The operational data using dynamic plant simulator were obtained to verify the effectiveness of our method. The simulations of fault detection were carried out. And also the results of simulation are presented in this paper.
We propose Nucleus, a novel function detection algorithm for binaries. In contrast to prior work, Nucleus is compiler-agnostic, and does not require any learning phase or signature information. Instead of scanning for signatures, Nucleus detects functions at the Control Flow Graph-level, making it inherently suitable for difficult cases such as non-contiguous or multi-entry functions. We evaluate...
Database management systems (DBMSs) are one of the most important components in modern large-scale systems. Thus, it is important for developers to write code that can access DBMS correctly and efficiently. Since the behaviour of database access code can sometimes be a blackbox for developers, writing good test cases to capture problems in database access code can be very difficult. In addition to...
A localization algorithm based on virtual fingerprint database is proposed in the indoor visible positioning system to solve the problem that the fingerprint positioning algorithm has low localization accuracy under the condition of low distribution density of reference nodes. In the fingerprint database establishment stage, the positioning area is divided into multiple small areas according to the...
The electrocardiographic tracing represents one of the most versatile pre-diagnostic tools and of greater clinical use at the present time. However, there are indicators that are difficult to observe by a health specialist, such as the so-called J-point and ST-segment elevation, useful in the assessment of ischemia. The present work proposes an improvement of the algorithm “Rising Falling Transition...
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