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Previous approaches for scene text detection have already achieved promising performances across various benchmarks. However, they usually fall short when dealing with challenging scenarios, even when equipped with deep neural network models, because the overall performance is determined by the interplay of multiple stages and components in the pipelines. In this work, we propose a simple yet powerful...
This paper presents a design of general finite impulse response (FIR) digital filters using a multiobjective Cuckoo Search Algorithm (MOCSA). The MOCSA is applied to optimize the filter coefficients of FIR lowpass and bandpass digital filters. Design results show that slightly smaller peak passband and stopband magnitude errors and smaller peak passband group delay error can be obtained when compared...
A method for minimax design of linear phase finite impulse response (FIR) digital filters using cuckoo search algorithm (CSA) is presented. Lowpass and bandpass digital filters are used as filter examples. Equiripple linear phase FIR digital filter design results indicate that the peak errors in passband and stopband(s) obtained using the cuckoo search algorithm are similar to those obtained by the...
Massive Open Online Course(MOOC) is undergoing explosive growth recently, both the number of MOOC platforms and courses are increasing dramatically during these years. One of the major concerns in MOOC is high dropout rate, we study dropout prediction in MOOCs, using student's learning activities data in a period of time to measure how likely students would drop out in next couple of days. We collect...
We expect to predict learners' learning situation in the real-time during one course processing — if they can get the certificate. We have collected the students' behavior log of the first eight weeks of “C + + program design” course from Edx platform to predict whether a student can eventually pass the course and obtain the certificate. An complete experimental process to achieve prediction has been...
This paper proposes a compact gear-type microstrip circular antenna (GTMCA) to generate orbital angular momentum (OAM) for wireless applications. The antenna consists of a microstrip circular loop which connected with eight rectangle patches, each rectangle patch rotating arrangement on a substrate in sequential with an equal inclination angle of 45°. The working principle of proposed antenna is analogous...
Educational Data Mining and Learning Analytics are two growing fields of study, trying to make sense of education data and to improve teaching and learning experience. We study dropout prediction in Massively Open Online Courses (MOOCS), where the goal is given student's learning behavior log data in one month, to predict whether students would drop out in next ten days. We collect 39 courses data...
In this paper, we demonstrate that the solid cylinder dielectric resonator antenna (CDRA) is a high radiation efficient device to generate orbital angular momentum (OAM) waves with different OAM modes at different frequencies. Theoretical formulations of its radiation fields are deduced in the cylindrical coordinate system, which shows that all components of the electric and magnetic fields have the...
The controller research for a kind of nonholonomic mobile robot with uncertain camera parameters is investigated in this paper. We firstly present an uncertain model of nonholonomic kinematic system of type (1,2) mobile robot based on the visual feedback, the state and input transformations, which is a kind of chained form with uncertainty. Then, a kind of linear feedback controller is proposed which...
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