The traditional process for selecting urban gas station sites often emphasizes economic benefits and return on investment, frequently overlooking mandatory guiding constraints established by territorial spatial planning regulations. This neglect can compromise the effective layout future growth of cities, potentially affecting their long-term development. To address this issue, study develops a systematic framework site selection that integrates both constraints. By conducting detailed...

With the rapid development of location-based services in field mobile network applications, users enjoy convenience on one side, while being exposed to risk disclosure privacy other side. Attacker will make a fierce attack based probability inquiry, map data, point interest (POI), and supplementary information. The existing location protection techniques seldom consider information held by attackers usually only generate single cloaking region according protected point, query efficiency is...

This paper studies the design of maximum directivity factor (MDF) beamformers based on uniform linear arrays (ULAs) consisting acoustic vector sensors (AVSs). We first derive main lobe constraints, which ensure that beamformer's beampattern achieves a in look direction, and prove any beamformer satisfies proposed constraints can be written as sum two orthogonal beamformers: white noise gain (MWNG) reduced-rank beamformer. Then, we MDF by maximizing (DF) under deduced constraints. also robust...

Night-time light data (NTL) have been extensively utilized to map urban fringe areas, but date, there has not a comprehensive evaluation of the existing spatial clustering methods for delineating using different types night-time data. Therefore, we first selected three popular sources (i.e., NPP/VIIRS, Luojia 1-01, and NASA’s Black Marble) identify fringe. The recognition mutations across urban–rural gradient was conducted based on changes in night intensity continuous wavelet transform...

State-of-the-art piecewise logarithmic converters employ nonuniform segments to reduce the variance of relative errors, particularly for small inputs. However, it is difficult have an optimized algorithm accurately choose a required approximation error. In this brief, we present error equal distribution (REED) that performs linear interpolation logarithm. It able precisely set points so each segment within upper bound, and finally produce flat distribution. can be applied any number...

Abstract Rare earth doped up-conversion luminescent nano-materials exhibit abundant emission colors under suitable excitation condition. In this work, NaYF 4 :Er/Ho@NaYF and NaYbF :Tm@NaYF nanoparticles were synthesized by co-precipitation method. The pure red can be realized the designed nanocrystals R/Gs reach 23.3 25 excitations of 980 1550 nm lasers, respectively. R/G declines as power increasing with color changing from to yellow, which is due quick saturation energy levels, radiating...

Abstract Easy and efficient 3D modelling in virtual environments is an important unsolved topic. This paper proposes a new approach to tackle this issue. It invents convolution surface‐based brushes directly draw models head‐mounted display‐based environments. In order maximize the efficiency, flexibility, capacity of our proposed approach, we propose three different skeleton‐based surfaces tasks: point for metaball shapes, line cylindrical polygon planar surfaces. Their combination makes...

This paper addresses the extraction of frequency, amplitude, and phase sinusoidal components directly from modified discrete cosine transform (MDCT) domain, which is broadly used in many digital audio applications. An efficient method proposed for portable device based on approximation MDCT expression simple combinations local maximum coefficients. By extracting frequency amplitude a stationary sinusoid, experimental results demonstrate that algorithm produces accurate with low computational...

This paper propose a high performance algorithm for logarithm approximation. A piecewise linear interpolation with non-uniform partition is introduced to produce flatten error distribution. Base on our method can greatly more accurate results than state-of-art Our proposed conversion further optimized hardware implementation. Analysis of simulation in Matlab and resources FPGA illustrate that are superior or comparable graphics hardware.

Voice activity detection (VAD) is a very challenging problem in adverse acoustic environments (e.g. far-field and conditions with different types of noise). In this paper, we proposed Gaussian mixture model (GMM) for log-energy distribution noise (noisy) speech, where the these two components can be self-adapting non-stationary circumstances. An adaptive threshold based on GMM parameters represents reasonable bound between which lead to an accurate VAD various conditions. To further improve...

3D graphics hardware acceleration has become more and important in mobile devices. In the paper, we review some triangle rasterization algorithm previously. On that basis, propose a novel - midpoint traversal, which reduce number of traversal points improve efficiency graphic acceleration. At last, use FPGA to implement algorithm, drawing conclusion: equality resource, compared with others based edge function, can efficiency.

The influence of thinking flexibility on design is often underestimated by researchers in the field education. In this study, morphological analysis was used as a tool to develop proposals and eye tracking technology applied track attention. feature activities problem-solving between two groups (novice expert) analyzed Heat map Gaze plot qualitative, measured indicators such fixation saccade quantitative. Findings suggested that, i) Experts showed more duration numbers activities, attention...

A Packet Loss Concealment (PLC) method is proposed for audio streaming represented in the Modified Discrete Cosine Transform (MDCT) domain. MDCT dominant transform of perceptual coding and widely used consumer electronics. The coefficients a lost frame are reconstructed by our PLC method, which based on sinusoidal model sinusoid-like could be predicted frequency estimation, further optimization computation achieved using sign property sinusoids. In order to compare with other approaches,...

With the demand of real time rendering large scale filed scenes, which require graphic's processing unit that have features high efficiency and low power. rasterization graphics is a stage compute intensive key part to raise system performance. In this paper, I improve "CENTROL LINE" rasterization, main method for designing VLSI, focus on parallel processing, geared hardware implementation. order verify function improved algorithm, Matlab used simulate algorithm was implemented in FPGA.

In this paper, we improve the application of structural similarity measure, which was originally designed for image quality assessment, to problem audio estimate. Specifically, consider a new way implement index. We use improved fixed frames an sequence in FFT domains. compare accuracy correlation measure domain, temporal domain and Perceptual Evaluation Audio Quality (PEAQ) MOVs with respect subjective test results. The results show that is highly correlated performs better than SSIM PEAQ MOVs.

This paper proposes a novel fragile watermarking scheme for audio content authentication. The chaotic mapping based watermark information is embedded in the principal component of detail wavelet coefficients host on instantaneous mixing model independent analysis system. can be extracted with Fast ICA technique, blindly. Experimental results demonstrate that proposed achieves excellent transparency, good fragility, and accurate tampering detection.

Real-time rendering of large scale terrain has always been a hot research topic in the field computer graphics, virtual reality and simulation research. With scenes becoming more complex real-time limited, number LOD algorithms have applied to rendering. In this paper, we review some traditional algorithms, then show an effective algorithm, implement it by GPU. At last, compare those according criterions advantages algorithm based on

Recently, phase processing is attracting increasinginterest in speech enhancement community. Some researchersintegrate estimations module into enhancementmodels by using complex-valued short-time Fourier transform(STFT) spectrogram based training targets, e.g. Complex RatioMask (cRM) [1]. However, masking on would violentits consistency constraints. In this work, we prove that theinconsistent problem enlarges the solution space of speechenhancement model and causes unintended artifacts....

In this paper, we propose an end to model for keyword spotting (KWS) with densely connected convolutional network (DenseNet) and the integration of Short Time Fourier Transform (STFT) which aims extract utterances from raw waveform directly. Furthermore, investigate efficiency adaptive trainable window function in task keywords spotting. Using recently-released Google Speech Commands Dataset as our benchmark. Our DenseNet implementation significantly outperforms previous neural networks...