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Aiming at elevator safety management, an elevator wireless public safety system based on Zigbee and Internet is proposed. The system includes elevator terminal acquisition node, CC3200 embedded gateway and remote monitoring center. The system realizes the real-time transmission of elevator status data through Zigbee self-organizing network and Internet. The remote monitoring center processes the data...
In this paper, a two stage STAP algorithm in non-homogeneous environment is proposed to suppress discrete interference. The training data is pre-processed to eliminate the target component in the first stage. And then rank-reduced STAP algorithm based on sub-matrices is utilized to suppress the discrete interference at a low computational cost as the second stage. The effectiveness of the proposed...
In this paper, we present a system that automatically recognizes pictures of landmarks in Singapore and combine the output with metadata information extracted from the picture if available in order to provide tourists with information about the recognized places. In detail, the system combines GPS information from the image metadata with a Convolutional Neural Network (CNN) based image recognition...
In structured light three-dimensional measurement systems, the position of stripe in the structure light image reflects the three-dimensional shape information of the object being scanned. In this paper, we propose a semi-automatic 3D image processing algorithm that extracts the phase map from the distorted line pattern. The proposed method uses the stripe extraction approach to segment and cluster...
Image cognition is a fast developing field of modern technology. Considerably accurate, well trained algorithms have already been developed and exposed as public APIs for automated analysis of conventional photographs. However, in recent past, the photography field has shifted from conventional photography, embracing new concepts such as 360 surround photography or photospheres. With the advent of...
Age Related Macular Degeneration (AMD) is the third leading cause of blindness and the first one in the elderly. AMD usually causes vision loss as the central vision field, e.g., vision scotoma, blur, and distortion, et. al. In this paper, we propose to detect AMD caused vision scotoma through eye tracking. Compared with the current vision assessment methods, e.g., Amsler grid, Microperimetry and...
Physical Unclonable Functions (PUFs) are emerging as an important building block in hardware security. It has been widely used in key generation and authentication. However, Strong PUFs are vulnerable to the Machine Learning (ML) attack by modeling the challenge-response pairs (CRPs) behavior. The traditional resistant methods based on non-linear blocks (e.g. XOR) have a negative impact on the reliability...
The recent technological advancements allow to develop speech to machine interfaces. These systems can be employed in a variety of potential applications like security, smart homes, centers for people with disabilities, etc. In this context a speech to machine interface is devised. The proposed system is based on the principle of frequency domain speech recognition. The spectral analysis of speech...
A new distributed space-time coding (DSTC) scheme is proposed based on a modified cooperation protocol. Comparing the conventional DSTC, the proposed DSTC scheme adopts fewer relay nodes, which can be a flexible scheme when relay nodes are limited. As also shown in the error performance, the proposed DSTC outperforms the conventional DSTC owning to less noise enhancement. Additionally, the proposed...
Pain is a subjective experience and no objective test exist to measure it, IASP (International Association for the Study of Pain) decided patients self-report as gold standard of pain assessment. Infant cannot provide a self-report of pain verbally. In this paper, we developed a system to recognize post-surgery infant activity based FLACC (Face, Legs, Activity, Cry, Consolability), score 0 is given...
This paper presents a new medical image fusion method based on the GPU accelerated nonsubsampled shearlet transform and 2D principal component analysis. In order to keep the smoothness of pixels distribution in fused image, the subbands coefficients after transform are divided into blocks. A global and regional combined fusion strategy is used to reduce the distortion exists in coefficients changes...
In this paper, we present a novel approach for contour detection with Convolutional Neural Networks. A multi-scale CNN learning framework is designed to automatically learn the most relevant features for contour patch detection. Our method uses patch-level measurements to create contour maps with overlapping patches making interdependent decisions. We show the proposed CNN is very efficient to detect...
A nonverbal communication involves movements of different body parts to communicate a particular message. Hand, face and lips movements or other movement of body parts are regarded as gesture. In this paper we have proposed a method based on hand gesture recognition to recognize the different gesture used by deaf person to communicate using scale-invariant feature transform (SFIT) algorithm. This...
This paper presents a novel solution for finding a person of interest using a mobile agent platform developed with Raspberry PI III module in indoor dynamic environments. This method is capable of extracting human figures from complex backgrounds while the platform is still moving and compare the identified human figures against the query image using features like clothing and other accessories. The...
Fish disease diagnosis is a difficult process and needs high level of expertise. Any attempt of developing the system dealing with the fish disease diagnosis and to overcome various difficulties is in it has still not met any extra ordinary success. Identification of diseased fish at early stage is necessary step to prevent from spreading disease. This paper recognizes and identifies the EUS (Epizootic...
Face has been used as one of the mainstream manners for user identification. However, with the popularity of face-swapping apps, it takes only a few seconds to change the faces between two facial images. Such swapped results, when using improperly or carelessly, might create some security issues in certain applications. This paper is the first work to address the importance of this issue and discusses...
Bio-metric based recognition is rapidly replacing the non-biometric based recognition systems. Face recognition is one of the most important bio-metric based recognition technique. Different algorithms exist for face recognition that works well on high resolution digital images. The aim of this work is to check whether these existing face recognition algorithms work on low quality Closed Circuit Television...
Nowaday, People can access information rapidly due to technology is higher than former times. Website is tool for present information of organization. The most important thing which consider is website content because of the content will explain everything which organization presented. The most of educational institution use website for presented their information to outside. However, educational...
The digital image processing plays an important part in medical image. In traditional Chinese medicine, the surface growth status of nails reflects the physiological condition of human body. The diseases can be predicted and prevented effectively by nail diagnosis. In the nail structure, the lunula and nail plate are important reference frames. The proportion of lunula to the nail plate reflects the...
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