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This paper is focused on the evolution of the vertical temperature profile of spilled plume originated from a compartment-facade fire under the conditions of different horizontal projection lengths. A series of reduced scale experiments were carried out in a 1:8 cubic fire compartment model with a single window at the center of the compartment’s side wall. A vertical facade wall was attached to the compartment window, and a horizontal projection was installed at the level of window’s top as the representative of a fire protection cornice in a real building. In the experiments, by varying the length of horizontal projection, the total heat release rate as well as the window sizes, the vertical temperature recorded by a series of thermocouples along the centerline of facade wall was analyzed. Results showed that, with the presence of horizontal projection, especially for a longer projection, the temperature of the spilled plume was reduced significantly, which is beneficial to fire protection in high-rise buildings. Meanwhile, two different regions were observed due to the flame retrieving effect to the facade wall, and therefore, the temperature would first increase and then decrease in the vertical direction, which is completely different from the results obtained without the horizontal projections. A critical vertical height with the highest temperature was discovered, and regarded as the new reference point. On this basis, a new normalized vertical height based upon the reference point and a new virtual origin were brought up. Finally, new correlations of vertical temperature with the updated normalized vertical height were proposed within the buoyancy plume region. This is a novel investigation for the spilled flow dynamics from a compartment-facade fire with horizontal projection conditions, and has great significance for improving the fire-fighting capabilities for a building in practice. For a compartment-facade fire, two new regions with a low temperature zone are newly discovered at the presence of horizontal projection, and new correlations of vertical temperature decay are discussed.

It is challenging to find an effective license plate detection and recognition method due to the different conditions during the image acquisition phase. This paper aims to develop a new accurate and efficient method based on color difference and SVM recognition model that yields better performance for vehicle images under low quality. The proposed method is tested with 200 images which involve many difficult conditions, such as low resolution, night-lighting, dirt, complicated background, and distortion problems. The experimental results demonstrate very satisfactory performance for license plate detection in terms of speed and accuracy and are better than the existing methods like edge detection or HSV color conversion method. The overall probability of localization is close to 100%, with a false recognition rate of 2%.

Optical character recognition systems for Malayalam handwritten documents have become an open research area. A major hindrance in this research is the unavailability of a benchmark database. Therefore, a new database of 402 Malayalam handwritten document images and ground truth images of 7535 text lines is developed for the implementation of the proposed technique. This paper proposes a technique for the extraction of text lines from handwritten documents in the Malayalam language, specifically based on the handwriting of the writer. Text lines are extracted based on horizontal and vertical projection values, the size of the handwritten characters, the height of the text lines and the curved nature of the Malayalam alphabet. The proposed technique is able to overcome incorrect segmentation due to the presence of characters written with spaces above or below other characters and the overlapping of lines because of ascenders and descenders. The performance of the proposed method for text line extraction is quantitatively evaluated using the MatchScore value metric and is found to be 85.507%. The recognition accuracy, detection rate and F-measure of the proposed method are found to be 99.39%, 85.5% and 91.92%, respectively. It is experimentally verified that the proposed method outperforms some of the existing language-independent text line extraction algorithms.

A numerical investigation has been conducted to analyse the effect of wind on the vertical spread of fire through a front opening in a building’s external walls. The study utilises a building geometry established from previous experimental work conducted by the National Research Council of Canada (NRCC). A horizontal projection or a vertical spandrel is introduced above the opening of the compartment of fire origin. The purpose of the projection or spandrel is to inhibit the vertical spread of the fire, following the relevant requirements in the Australian National Construction Code (NCC). A computational fluid dynamics (CFD) package for fire-driven fluid flow, namely the Fire Dynamics Simulator (FDS), is employed to simulate the fire behaviour. The FDS model is validated against the NRCC’s experimental results, and a good agreement is achieved. Winds from three horizontal directions (front wind is normal to the opening, side wind is parallel to the opening, and back wind is from behind the building) have been investigated, with speeds ranging up to 10 m/s for each wind direction. Front wind speeds below 1 m/s are found to slightly enhance the vertical spread of the fire, while speeds exceeding 1 m/s are inclined to promote horizontal spread. The impact of side wind on the vertical fire spread was also found to vary with wind speed. The increase in the speed of back wind influences flame buoyancy, resulting in an augmented vertical fire spread. Furthermore, the numerical results reveal that a vertical spandrel of 1100 mm height is less effective in preventing vertical fire spread through openings, compared to a 1100 mm deep horizontal projection. The study suggests that the fire safety design in reducing the hazard of vertical fire spread through openings in buildings’ external walls could be further improved if the effect of wind is considered.

The objective of this paper is to propose an automatic drawing technique for horizontal projection diagrams of exploration borehole deviation. In this study, a computer program was developed so as to achieve AutoCAD automatic creation of horizontal projection diagrams with low computational complexity. The main procedures include: the original borehole deviation data are used, the coordinates of the measuring points are calculated by using the average zenith angle and azimuth angle, the coordinates of the middle points are determined using the average borehole section length, and the final coordinates and the respective AutoCAD drawing exchange files are outputted. The conclusions are: the drawing exchange files can be called directly by the AutoCAD software, thereby achieving the automatic drawing of the horizontal projection diagrams of the borehole deviations. An example is provided to demonstrate that the proposed automatic drawing method is correct, concise, and efficient. And this automatic drawing technology provides significant advantages, avoiding the shortcomings of inefficient and error-prone method in the past.

With the actual flight of the airplane model pictured by two theodolites, in this paper, a cross matching method of flight trajectory was proposed on the basis of horizontal projection, which was also checked and simulated in the research. The simulation proved that: within a certain measuring range, this cross matching method can effectively enable the matching calculations to flight trajectories of large numbers of equidirectional airplane models, thus to meet the measuring needs of the airplane model in flight.

Current source density (CSD) analysis assesses spatiotemporal synaptic activations at somatic and/or dendritic levels in the form of depolarizing current sinks. Whereas many studies have focused on the short (<50 ms) latency sinks, associated with thalamocortical projections, sinks with longer latencies have received less attention. Here, we analyzed laminar CSD patterns for the first 600 ms after stimulus onset in the primary auditory cortex of Mongolian gerbils. By applying an algorithm for contour calculation, three distinct mid and four late evoked sinks were identified in layers I, III, Va, VIa, and VIb. Our results further showed that the patterns of intracortical information-flow remained qualitatively similar for low and for high sound pressure level stimuli at the characteristic frequency (CF) as well as for stimuli ± 1 octave from CF. There were, however, differences associated with the strength, vertical extent, onset latency, and duration of the sinks for the four stimulation paradigms used. Stimuli one octave above the most sensitive frequency evoked a new, and quite reliable, sink in layer Va whereas low level stimulation led to the disappearance of the layer VIb sink. These data indicate the presence of input sources specifically activated in response to level and/or frequency parameters. Furthermore, spectral integration above vs. below the CF of neurons is asymmetric as illustrated by CSD profiles. These results are important because synaptic feedback associated with mid and late sinks-beginning at 50 ms post stimulus latency-is likely crucial for response modulation resulting from higher order processes like memory, learning or cognitive control.

Employing wide-field optical imaging techniques supported by electrophysiological recordings, previous studies have demonstrated that stimulation of a spatially restricted area (point) in the sensory periphery results in a large evoked neuronal activity spread in mammalian primary cortices. In rats' primary cortices, such large evoked spreads extend diffusely in multiple directions, cross cortical cytoarchitectural borders and can trespass into other unimodal sensory areas. These point spreads are supported by a spatially matching, diffuse set of long-range horizontal projections within gray matter that extend in multiple directions and cross borders to interconnect different cortical areas. This horizontal projection system is in addition to well-known area-to-area clustered projections to defined targets through white matter. Could similar two-projection cortical systems also be found in cortical regions that differ in their cytoarchitectural structure? To address this question, an adeno-associated viral vector expressing green fluorescent protein (GFP) was injected as an anterograde tract tracer into granular somatosensory cortex (trunk area), dysgranular cortex (somatosensory dysgranular zone and extrastriate cortex) and agranular motor cortex (MCx). Irrespective of the injection site the same two projection systems were found, and their quantification revealed a close similarity to findings in primary sensory cortices. Following detailed reconstruction, the diffuse horizontal axon radiation was found to possess numerous varicosities and to include short, medium and long axons, the latter extending up to 5.2 mm. These \"proof of concept\" findings suggest that the similarity of the two projection systems among different cortical areas could potentially constitute a canonical motif of neocortical organization.

Although important progresses have been already made in face detection, many false faces can be found in detection results and false detection rate is influenced by some factors, such as rotation and tilt of human face, complicated background, illumination, scale, cloak and hairstyle. This paper proposes a new method called DP-Adaboost algorithm to detect multi-angle human face and improve the correct detection rate. An improved Adaboost algorithm with the fusion of frontal face classifier and a profile face classifier is used to detect the multi-angle face. An improved horizontal differential projection algorithm is put forward to remove those non-face images among the preliminary detection results from the improved Adaboost algorithm. Experiment results show that compared with the classical Adaboost algorithm with a frontal face classifier, the textual DP-Adaboost algorithm can reduce false rate significantly and improve hit rate in multi-angle face detection.

A creative system has been made with Maximally Stable Extremal Regions (MSER) for distinguishing apart the text from pictures. By using the basic MSER to images with lower resolution, the small sized text may not be detected. To deal with blurred images we put forward an approach that combines the fuzzy based edge detection method with MSER. The edge is detected using fuzzy inference system. Horizontal and vertical projection profiles along with geometric qualities of the text content are then connected to separate content and non-content locales of the text. Text grouping is then done by constructing the minimum spanning tree using bounding box distance. The proposed system is experimented on ICDAR 2003 dataset that shows potential outcomes on text detection.