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The short reference differential chaos shift keying (SR-DCSK) is a variant of DCSK which increases data rata and enhances energy efficiency without extra complexity. However, the advantages of bit error ratio (BER) performance of the SR-DCSK over the conventional DCSK is not notable even if the optimal length of reference signal is applied. In this paper, we propose an improved SR-DCSK scheme where...
The biological signals collected by the multi-electrode array are contaminated by heavy noise signals. How to quickly classify the original action potential from the measured noisy signals accurately is the basis of researches in the field of neuroscience. In this paper, we analyze the characteristics and shortcomings of Wave-clus sorting algorithm, and present a novel sorting algorithm to solve the...
In order to reduce the minimum antenna measurement distance, the aperture reduction is needed. While the aperture reduction will cause the gain of the antenna reduced. The method of loading the elongated dielectric rod on the rectangular waveguide can remarkably improve the gain of the antenna without increasing the antenna aperture. A simulation study was carried out on the antenna with a dielectric...
Pedestrian detection is an important topic in object detection. Compared with other object detectors, YOLOv2 achieves high accuracy and fast speed for general object detection, however it degrades accuracy when detecting crowed pedestrians. In this paper, combining with the skip structure of FCN, we tailor the YOLOv2 network to improve the accuracy in detecting small pedestrians which appear in groups...
Online web services have been constantly developed and offered through the Internet. These services rely on webpages that are hosted on remote servers and are transmitted to clients via HTTP upon requests. While HTTP has been updated to support more and more sophisticated services with increasing amount of multimedia content, the real-world adoption of those updates is still very slow. In this paper,...
Spectral clustering is one of the most effective methods of data mining, in which the adjacency matrix is constructed by using the similarity matrix. In this paper, to extend spectral clustering method for uncertain data clustering, we propose a new spectral clustering method based on JS-divergence. In the proposed method, the JS-divergence is used to construct the adjacency matrix in the spectral...
The optimal thermal design issue of a forced aircooled heat sink to obtain satisfied performance indices such as thermal resistance, pressure drop, geometry, total weight and cost is great of practical value for the stable and safe operations of a power electronic equipment. This paper formulates this issue firstly as a typical constrained optimization problem by considering the entropy generation...
In this paper, a novel dual-band suspended stripline (SSL) filter is proposed. Based on traditional designing technique, a band-pass SSL filter is designed. Considering the unique properties of metamaterials, we apply it to the filter structure designing. Metamaterials can produce negative permittivity and thus there forms a dual-band. The simulated results exhibit low insertion loss, high selectivity...
The recently revealed special Smith-Purcell radiation (S-SPR) is quite attractive since it has better monochromaticity and higher intensity in comparison with the ordinary SmithPurcell radiation. It offers effective ways of generating terahertz radiations. Based on the S-SPR mechanism, we proposed and investigated a series of terahertz sources. They substantially enhanced the operation frequency and...
Based on the model of surface mounted permanent magnet synchronous motor, an improved algorithm for off-line parameter identification of motor is presented. In this paper, the single-phase sinusoidal AC signal is injected into the motor which can simulate the single-phase locked-rotor test and the DC signal is injected into the motor in order to simulate the DC test, then filtering the input signal...
The Traveling Salesman Problem (TSP) is one of the most well-known NP-hard combinatorial optimization problems and Genetic Algorithm (GA) is an effective method for solving it. Nevertheless, the Classical Genetic Algorithm (CGA) has poor effect on larger-scale TSP. In order to solve this problem, in this paper, two novel improvement strategies were proposed and applied to the larger-scale instances...
This paper proposes an adaptive hysteresis sliding mode control method for double-switch buck-boost converter. First a hysteresis sliding mode current controller is applied to the converter such that the converter has a limited switching frequency; and second, adaptive control is adopted in order to enable the converter to work at a fixed switching frequency. The change of the switching frequency...
A tadpole-shape fiber sensor, with S-bend fiber cascading spherical shape, has been proposed and experimentally realized in this work. In our experiments, the output spectrum of the proposed sensor was found to be shifted with the changing of the refractive index and the temperature. Experiments results showed that the highest sensitivity of the refractive index was up to −114.845nm/RIU with a wide...
A new wavelength-swept fiber laser is proposed and successfully demonstrated based on two linear chirped fiber Bragg gratings (LC-FBGs) with perfect opposite dispersion response. It is based on intra-cavity pulse stretching and compression provided respectively by two chirped gratings. Experimental results demonstrate a wavelength-swept fiber laser that exhibits a sweep rate of about 3.48 MHz over...
In order to ensure safely and effective operation of the transmission line, the condition monitoring of transmission lines is widely applied to discover the dangerous points of transmission lines and monitor surrounding weather conditions. Since transmission lines run across fields, adopting mobile communication network to carry out the data transmission is very convenience. The operation cost is...
Language big data explosion causes a severe divergence of people's attention and a serious scarcity of people's time. This paper addresses the problem of Korean text summarization (KTS) and presents a flexible multi-plugin framework. Within the framework, we design a novel KTS algorithm based on key phrase extraction. Supported by the pluggable components of word stemming and part of speech tagging,...
Sweeps is a well-known localization algorithm based on the consistent connection constraints in WSN, and utilizes the concept of finite localization to relax the constraint conditions from trilateration to bilateration. In this paper, we deeply analyze the finite localization in various localization environments, and uniquely localize the finitely localized node without flip ambiguities using iterative...
Uncertain data clustering is one significant research in data mining. Many similarity measurements of uncertain objects are proposed. Traditional clustering methods can be extended with these new similarity measurements. In this paper, we propose a new fuzzy c-medoids method for uncertain data clustering, named UFC-medoids. The JS-divergence is used as the similarity measurement between uncertain...
This paper extends target-constrained interference minimized filter (TCIMF) to multiclass-constrained background suppression classifier (MCBSC) for hyperspectral image classification. In order to capture spatial contextual information MCBSC makes use of a Gaussian filter to feed back a Gaussian-filtered MCBSC map to create a new set of hyperspectral images for MCBSC to be re-implemented again in an...
Anomaly detection (AD) is designed to find targets that are spectrally distinct from their surrounding neighborhood. Unfortunately, commonly used anomaly detectors generally do not take into account its surrounding spatial information. This paper derives an iterative version of anomaly detection, iterative anomaly detection (IAD) to address this issue. Its idea is to use a Gaussian filter to capture...
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