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The detection of groups of people is attracting the attention of many researchers in diverse fields, with a growing number of approaches published each year; despite this, the evaluation metrics are not consolidated, with some measures inherited from the people detection fields, other ones designed specifically for a particular approach, generating a set of not comparable figure of merits. Moreover,...
We present PharmaGuard, a novel system for the automatic discovery of illegal online pharmacies, aimed at assisting law-enforcement toward their early identification, blacklisting and shutdown. Given a previously labelled set of examples, the system is able to learn a profile of (illegal) pharmacies, and then exploit it to discover never-before-seen instances indexed by popular web search engines...
This paper deals with the study of dependence of subpixel accuracy of edge detection in 1-D images on number of used samples. Our study includes four methods for edge detection with sub-pixel accuracy in 1-D images: method based on approximation of real image function with erf function, moment-based edge operator, technique using spatial moments of the image function and the method based on wavelet...
This research aims to investigate the required sample size of probe vehicles that are necessary to report the real-time travel time with a desired statistical accuracy in different traffic conditions on freeways. The corridor studied is SR78-E in the North County of San Diego that connects Oceanside and Escondido. The field data used in this study was collected from PeMS during the period from 0:00...
Hybrid pixel detectors have been used as vertex detectors in most of the Large Hadron Collider (LHC) experiments. Their truly 3D hit information, together with their efficiency, speed and radiation resistance make them ideal to reconstruct track and vertices in the harsh environment surrounding the LHC interaction region. Many technological challenges have been overcome to build those devices according...
Real time spike detection is the first critical step to develop spike-sorting for integrated brain circuits interface applications. Nonlinear Energy Operator (NEO) and absolute thresholding have been widely used as the spike detection algorithms where NEO has a better performance measured by the probability of detection and false alarm. This paper proposes a hybrid spike detection algorithm incorporating...
Biomolecular interactions are central to biological processes and typically take place at nanometer scale distances. They often involve molecular motion which is known to affect the accuracy of the parameter estimates. Therefore, in this paper, we consider a case of two closely spaced molecules with planar trajectory and present a general expression of the Fisher information matrix in terms of their...
The silent data corruption (SDC) problem is attracting more and more attentions because it is expected to have a great impact on exascale HPC applications. SDC faults are hazardous in that they pass unnoticed by hardware and can lead to wrong computation results. In this work, we formulate SDC detection as a runtime one-step-ahead prediction method, leveraging multiple linear prediction methods in...
Emotion Detection is one of the most emerging issues in human machine interaction. Detecting emotional state of a person from textual data is an active research field along with recognizing emotions from facial and audio information. Several methods were given to recognize emotion from text in previous years. This paper proposed a new architecture (a keyword based approach) to recognize emotions from...
High false alarm rates and execution times are among the key issues in host-based anomaly detection systems. In this paper, we investigate the use of trace abstraction techniques for reducing the execution time of anomaly detectors while keeping the same accuracy. The key idea is to represent system call traces as traces of kernel module interactions and use the resulting abstract traces as input...
All living body has been shown to emit radiation into space surrounding their body. The radiation field encloses the physical body and emits the characteristics of frequency radiation. This study discusses the analysis of human body radiation wave on the human torso and compares their frequency characteristics between genders. At first, the characteristic of radiation frequency is determined by employing...
A large scale study of the accuracy and efficiency of face detection algorithms on unconstrained face imagery is presented. Nine different face detection algorithms are studied, which are acquired through either government rights, open source, or commercial licensing. The primary data set utilized for analysis is the IAPRA Janus Benchmark A (IJB-A), a recently released unconstrained face detection...
In the surveillance field, it is very common to have camera networks covering large crowded areas. Not rarely, cameras in these networks do not share the same field of view and they are not always calibrated. In these cases, common problems such as tracking cannot be directly applied as the information from one camera must be also consistent with the others. This is the most common scenario for the...
A load-line adjusted 2.4GHz PA is designed to operate in full power (18dBm/150mA) & mid power (7dBm/19mA) in OFDM with ∼130mA saving. To improve network throughput in dense environment with per-packet TX power control, the phase-compensated power detector achieves ±0.6dB accuracy for the entire 5GHz band over 2∶1 VSWR and 16dBm±0.25dB over channel flatness in VHT80MCS9. The chip area is 0.21mm...
This paper extends the vectorial strategy for designing line segment detection masks to large windows, thereby permitting line segments to be detected and orientated efficiently with just two masks in a far greater number of applications than the original formulation [1]. Our own application exemplifies the value of these linear feature detectors for the purpose of locating insects in grain, and 7...
In any public gathering, to ensure the safety of the people during or after any kind of natural or man-made calamities, counting the number of people in a crowd is of paramount importance. In cases of unpredictable environments where occlusion, shadows, varied illumination and multiple objects in the background persists, many algorithms fail to give out accurate results. In this paper, to overcome...
Laser time transfer is and attractive technique to transfer time ground to space with picosecond precision and systematic errors on the level of tens of picoseconds. Recently the European Laser Timing experiment is under construction in the frame of the European Space Agency mission Atomic Clock Ensemble in Space. The objective of this laser time transfer is synchronization of the ground based clocks...
Manual analysis of large volumes of video surveillance footage stemming from the widespread deployment of security cameras is error prone, expensive and time consuming. Despite the commercial availability of software for automated analysis, many products lack third party extensibility, the capability to perform simultaneous event detection and have no provision for anomaly detection in highly dense...
This paper presents the design details of newly developed high accuracy, compact, two axes Micro Digital Sun Sensor (Micro DSS) using linear Complementary Metal Oxide Semiconductor detector and N-shaped slit mask for Indian Satellite missions. Due to low mass, compact size and low power, the Micro Digital Sun Sensor is very much suitable for future micro/ nano-satellites as well as for communication...
The rise of always-listening sensors integrated in energy-scarce devices such as watches and remote-controls increases the need for intelligent scalable interfaces. Contemporary sensor interfaces digitize raw sensor data to extract information with energy-intensive computations, such as FFT, which is inefficient if the end goal is to only extract selective information for classification tasks, e.g...
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