<Emphasis Type="Italic">a</Emphasis>-Wythoff’s game with <Emphasis Type="Italic">n</Emphasis> players

Letting a = 1 in a- Wythoff’s game introduced by Fraenkel yields Wythoff’s game which is a well-known 2-player impartial combinatorial game introduced by Wythoff in 1907. A method of solving n-player impartial games was presented by Krawec in 2012. In this paper, we employ Krawec’s function to analyze n > 2 players a-Wythoff’s game and obtain game values for all a 1. The results obtained cover n-player Wythoff’s game, a special case 1-Wythoff’s game.     

A new quantum algorithm for computing RSA ciphertext period

Shor proposed a quantum polynomial-time integer factorization algorithm to break the RSA public-key cryptosystem. In this paper, we propose a new quantum algorithm for breaking RSA by computing the order of the RSA ciphertext C. The new algorithm has the following properties: 1) recovering the RSA plaintext M from the ciphertext C without factoring n; 2) avoiding the even order of the element; 3) having higher success probability than Shor’s; 4) having the same complexity as Shor’s.     

Multiple feature fusion in convolutional neural networks for action recognition

Action recognition is important for understanding the human behaviors in the video, and the video representation is the basis for action recognition. This paper provides a new video representation based on convolution neural networks (CNN). For capturing human motion information in one CNN, we take both the optical flow maps and gray images as input, and combine multiple convolutional features by max pooling across frames. In another CNN, we input single color frame to capture context information. Finally, we take the top full connected layer vectors as video representation and train the classifiers by linear support vector machine. The experimental results show that the representation which integrates the optical flow maps and gray images obtains more discriminative properties than those which depend on only one element. On the most challenging data sets HMDB51 and UCF101, this video representation obtains competitive performance.     

Image forgery detection using segmentation and swarm intelligent algorithm

Small or smooth cloned regions are difficult to be detected in image copy-move forgery (CMF) detection. Aiming at this problem, an effective method based on image segmentation and swarm intelligent (SI) algorithm is proposed. This method segments image into small nonoverlapping blocks. A calculation of smooth degree is given for each block. Test image is segmented into independent layers according to the smooth degree. SI algorithm is applied in finding the optimal detection parameters for each layer. These parameters are used to detect each layer by scale invariant features transform (SIFT)-based scheme, which can locate a mass of keypoints. The experimental results prove the good performance of the proposed method, which is effective to identify the CMF image with small or smooth cloned region.     

Deterioration Process of the Hybrid Films during Wear Test——Polyacrylate Emulsion Modified by Silica Particles

The hybrid materials are widely used in various fields for excellent performance. However, there are few researches studying their failure process. In order to prepare the hybrid materials with better performance, the failure process needs to be well studied. Two kinds of silica/polyacrylate films are successfully prepared to study the effect of organic-inorganic interaction on performance. The average diameter of silica particles is measured to be around 342 nm by scanning electron microscope (SEM). Wear test demonstrates the hybrid film, which is obtained by grafting polyacrylate onto silica particles, possesses more excellent properties than the one filled directly with silica particles. The stronger interaction between organic and inorganic components leads to a better distribution of inorganic particles within the polymer matrix. In this work, a model is presented to illustrate the deterioration process of the hybrid films, which allows us to further understand the hybrid materials.     

Effect of konjac glucomannan on sodium alginate membrane

This paper introduces a blended membrane which is prepared by coagulation of sodium alginate and konjac glucomannan(KGM) in an aqueous solution, and studies the effect of different concentrations of KGM on sodium alginate films. The structural characterization of prepared blend film was implemented by scanning electron microscopy(SEM) and Fourier transform infrared spectroscopy(FT-IR), and the optimum ratio was determined by comparing fracture elongation, moisture absorption and moisture retention. The results indicate that the two polysaccharide molecules, sodium alginate and KGM, in the blend membrane have a good compatibility. The surface of blend film is smooth and uniform. The addition of KGM can significantly improve the moisture absorption and moisture retention performance of sodium alginate film, and its mechanical performance is also improved to some extent. The ratio of sodium alginate and KGM is 3.2∶1.5.     

An efficient certificateless aggregate signature scheme

Aggregate signature can aggregate n signatures on n messages from n signers into a single signature that convinces any verifier that n signers sign the n messages, respectively. In this paper, by combining certificateless public key cryptography and aggregate signatures, we propose an efficient certificateless aggregate signature scheme and prove its security. The new scheme is proved secure against the two representative types adversaries in certificateless aggregate signature under the assumption that computational Diffie-Hellman problem is hard. Furthermore, from the comparison of the computation cost of the new scheme with some existing certificateless aggregate signature schemes in group sum computation, scalar multiplication computation, Hash computation and abilinear pairings computation, it concludes that the new scheme reduces the computation cost in scalar multiplication computation in half and maintains the same in the other computation costs.     

Identity-based blind signature from lattices

Blind signature allows a user to get a signature of a signer on an arbitrary message,and the verifier can convince that the signature is indeed signed by the signer without leaking any information about the message.This property is necessary when the user’s privacy needs protection,such as a bank bill,a trade secret,etc.As an alternative of public key infrastructure,the identity-based system can simplify the key management procedures in certificate-based public key systems.Inspired by the requirement of identity-based blind signature in the post quantum world,we research on identity-based blind signature based on hard lattice problems under the random Oracle model.We propose a construction built upon the blind signature by Rückert,and it is proved to be one-more unforgeable against selective identity and chosen message attacks(s ID-CMA)and unconditionally blind.The proposed scheme has 2 moves,and its security can be reduced to the small integer solution(SIS)problem.     

Estimation of DOA and polarization with COLD sensors based on quaternion model

The quaternion multiple signal classification (Q-MUSIC) algorithm generally requires four-dimensional spectral peak search to estimate the direction of arrival (DOA) and polarization parameters, which would result in the huge computation burden. A dimension reduction Q-MUSIC algorithm (DRQ-MUSIC) based on L-shaped array is presented to reduce the computational complexity in this paper. The proposed algorithm divides the steering vector into three parts, and estimates each part separately, thus DOA and polarization parameters can be estimated only by N times one-dimensional spectral peak search, where N denotes the sources number. Besides, pair match is not required. Finally, simulation examples demonstrate the effectiveness and feasibility of the proposed algorithm.     

Effect of plasticizer poly(ethylene glycol) on the crystallization properties of stereocomplex-type poly (lactide acid)

The effects of the plasticizer poly(ethylene glycol)(PEG) on crystallization properties of equimolar poly(L-lactide)(PLLA)/poly(D-lactide)(PDLA) blends were investigated. Formation of the stereocomplex-type poly(lactide acid)(sc-PLA) crystallites was confirmed by Wide-angle X-ray diffraction(WAXD) and differential scanning calorimetry(DSC) analyses. Sc-PLA crystallites without any homochiral poly(lactide acid)(hc-PLA) formed, as the result of the incorporation of the plasticizer PEG(more than or equal to 10%(wt)) at a processing temperature(240 ℃). Moreover, when the MW of PEG reached 1 000 g × mol–1, the crystallizability of stereocomplex crystallites was the best. Isothermal crystallization kinetics further revealed that PEG could accelerate the crystallization rate of sc-PLA, with the optimum crystallization kinetic parameters being obtained at 10%(wt) PEG. Several crystallization kinetics equations were applied to describe the effect of PEG on the crystallization behavior of sc-PLA. The influence of PEG on the spherocrystal morphologies of sc-PLA was also investigated using polarized optical microscopy.