Current Issue : April - June Volume : 2019 Issue Number : 2 Articles : 5 Articles
Time constraints is the most critical factor that faces the first respondersâ?? teams for search\nand rescue operations during the aftermath of natural disasters and hazardous areas. The utilization\nof robotic solutions to speed up search missions would help save the lives of humans who are in\nneed of help as quickly as possible. With such a human-robot collaboration, by using autonomous\nrobotic solutions, the first response team will be able to locate the causalities and possible victims\nin order to be able to drop emergency kits at their locations. This paper presents a design of\nvision-based neural network controller for the autonomous landing of a quadrotor on fixed and\nmoving targets for Maritime Search and Rescue applications. The proposed controller does not require\nprior information about the target location and depends entirely on the vision system to estimate the\ntarget positions. Simulations of the proposed controller are presented using ROS Gazebo environment\nand are validated experimentally in the laboratory using a Parrot AR Drone system. The simulation\nand experimental results show the successful control of the quadrotor in autonomously landing on\nboth fixed and moving landing platforms....
Vision-based vehicle detection is the most basic and important technology in advanced driver\nassistance systems. In this paper, we propose a vehicle detection framework using selective multi-stage\nfeatures in convolutional neural networks (CNNs) to improve vehicle detection performance. A 10-layer\nCNN model was designed and visualization techniques were used to selectively extract features from the\nactivation feature map, called selective multi-stage features. The proposed features contain characteristic\nvehicle image information and are more robust than traditional features against noise. We trained the\nAdaBoost algorithm using these features to implement a vehicle detector. The experimental results verified\nthat the proposed vehicle detection framework exhibited better performance than previous frameworks....
To analyse the characteristics of utterances in Japanese novels, several attributes (e.g., the speaker, listener, relationship between\nthe speaker and listener, and gender of the speaker) were added to a randomly extracted Japanese novel corpus. A total of 887\ndata sets, with 5632 annotated utterances, were prepared. Based on the attribute annotated utterance corpus, the characteristics\nof utterance styles were extracted quantitatively. A chi-square test was used for particles and auxiliary verbs to extract utterance\ncharacteristics which reflected the genders of and relationships between the speakers and listeners. Results revealed that the use\nof imperative words was higher among male characters than their female counterparts, who used more particle verbs, and that\nauxiliaries of politeness were used more frequently for â??coworkersâ?? and â??superior authoritiesâ??. In addition, utterances varied between\nclose and intimate relationships between the speaker and listener.Moreover, repeated factor analyses for 7576 data sets in BCCWJ\nspeaker information corpus revealed ten typical utterance styles (neutral, frank, dialect, polite, feminine, crude, aged, interrogative,\napproval, and dandy). The factor scores indicated relationships between various utterance styles and fundamental attributes of\nspeakers. Thus, results of this study would be utilisable in speaker identification tasks, automatic speech generation tasks, and\nscientific interpretation of stories and characters....
The textile industrial chain all over the world is facing a challenge of differentiating\ncashmere fiber from mixture of wool and other fibers in case cashmere\nstocks are adulterated with wool or other fibers. For identification of cashmere\nin such mixtures, the development of microchip based real-time PCR\ntechnology offers a very sensitive, specific, and accurate solution. The technology\nhas been validated with cashmere and wool samples procured from\ndistant farms, and from cashmere goats and sheep of different age and sex.\nModel samples with incremental raw cashmere or wool content were tested.\nThe experimentally determined content was found to be comparable to the\nweighed content of the respective fibers in the samples......................
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