bluuebunny/crossref_metadata_2025 huggingface dataset:
Split Antenna Array in Millimeter Wave for Secure Vehicular Communication
Authors: Marjan Shah , Bai Lin , Han Chao
Published: June 2018

The small carrier wavelength at millimeter wave (mm-wave) frequencies features a large number of co-located antennas. Wireless networks with directional antennas using beamforming at mm-wave also have potential to provide an enhanced security in the vehicular communication system. Large bandwidth of mm-wave can provide auto drive and safety linked functionalities, However, safety and efficiency of the vehicular transportation system can be jeopardized by many kinds of attacks by eavesdroppers, physical layer security can work as an extra layer of security for wireless communication systems. To secure communication in-between Vehicles, an Analog precoding based physical Layer technique for mm-wave vehicular communication systems is presented in the paper. The proposed technique works by exploiting large Antenna arrays at millimeter waves and provide a secure directional transmission with low power consuming phase shifters and single Radio Frequency Chain. Larger antennas arrays are split into two subsets, one for transmission of data and another for generating noise. The proposed technique offers improved coherent transmission at the legitimate receiver and by introducing artificial noise to the eavesdroppers at random directions. This outcome in low SNR for the eavesdroppers, hence hacking information becomes extremely difficult. Numerical and Simulation results show the superior performance of the proposed technique compared to traditional physical layer security technique and conventional array technique.
Research on Security Framework of Mobile Application in Dispatch and Control Domain of Power Grid
Authors: Jiahui XU , Hongyuan YU , Gang WANG , Zi WANG , Jingjie BAI , Jiang WU , Xiaona YAN , Zilei JIA
Published: June 2018

The rapid development of mobile Internet technology and the wide spread of smart terminals have brought opportunities for the transformation of power grid business model. Compared to the non-real-time information, the real-time and running data of dispatch and control domain is easy to be intercepted and cracked. To solve this problem, this paper presents a new approach to mobile application security framework for the power grid control field. It is to realize secondary encryption by using the method of MD5+AES mixed encryption algorithm and combining the time stamp in real-time data transmission process. At the same time it is to prevent cross-border operations and brute force by using Token authentication and Session technology. China EPRI safety test results show that the application of the framework significantly improves the integrity, safety and reliability of real-time data in power grid control.
Applications of laser ultrasonic technique on nondestructive testing and evaluation of materials
Authors: Zhao Yang , Chen Jianwei , Sun Jihua , Song Jiangfeng , Ma Jian , Liu Shuai , Zhu Yinian
Published: June 2018

Nondestructive testing (NDT) is a wide group of analysis techniques used in science and industry to evaluate the properties of a material, component or system without causing damage. As one of unconventional NDT technology, laser ultrasonic technique (LUT) have played an important role in inspecting the materials in some extreme environments, such as high temperature, high pressure, corrosion, radioactive and etc. LUT uses lasers to generate and detect ultrasonic waves in a noncontact way. Thus, compared with the traditional ultrasonic technique, LUT has the advantages of high precision, high sensitivity without requirement for geometry of target material. So far, LUT has been well applied to composite inspections for the aerospace industry and on-line hot tube thickness measurements for the metallurgical industry. This talk describes the application of LUT on flaws detection in rail and thermal barrier coatings.
Study on Characteristics of Coupling Field from Super-low Altitude Target under Diverse Terrestrial Environments in Semi-active Radar System
Authors: Xiang Zou Gao , Ming Tong Chuang , Gao Qian , Wang Tong , Peng Peng , Chao Yuan Jun , Jun Jiang Xiao , Wang Xin
Published: June 2018

A novel electromagnetic scattering model is presented for studying coupling field of super-low altitude target under diverse terrestrial environments in semi-active radar system. The PO+MEC hybrid method is applied to obtain the electromagnetic scattering of target. The Physical Optics (PO) is introduced to calculate the scattering from facets of target. The Method of Equivalent Currents (MEC) is introduced to calculate the scattering from edges of target. Antenna radiation pattern of seeker is introduced to modify traditional Four Path Method (FPM) in semi-active radar system. Based on the modified FPM, the characteristics of coupling field from super-low altitude target under diverse terrestrial environments in semi-active radar system are studied. Simulation results can use for reference in the fields of remote sensing and detection for super-low altitude target.
Speed and Rotor Resistance Estimation of AC Induction Motor
Authors: Dafang Wang , Miaoran Wang , Guanglin Dong , Hui Wei , Zexu Xu
Published: June 2018

The speed estimation method based on Extended Kalman Filter (EKF) is widely used in speed sensorless induction motor. The method has high accuracy and good robustness. However, EKF is sensitive to parameters. In particular, the rotor resistance becomes up to twice the original when the motor is running. This greatly affects the speed identification accuracy. This paper achieves online estimation of rotor resistance utilizing the Model Reference Adaptive Controller (MRAC) based on reactive power. This ensures that the speed is estimated with high accuracy even if the rotor resistance changes suddenly. Simulation results have been presented to verify the effectiveness of the method.
Conceptual Design of Functional Safety of Motor Control System Based on ISO26262
Authors: Wang Dafang , Song Peng , Xu Zexu , Dong Guanglin , Wei Hui
Published: June 2018

This paper carries out the conceptual design of motor control system based on the standard of functional safety ISO 26262 for new energy vehicle. First, the paper introduce the main contents of the concept phase of ISO 26262. Then, the paper complete the item definition, hazard analysis and risk assessment of motor control system, and determine the functional safety goal and functional safety requirements.
Transient analysis on track circuits in crack state
Authors: Bin Zhao
Published: June 2018

The transient transformation of track circuit between the normal state and crack state is analyzed. Firstly, the model of crack state of track circuit in the complex frequency domain is established. According to the boundary conditions of crack state of track circuit, the expression of current traveling wave in the receiving end is obtained in complex frequency domain. Based on it, the numerical solution in the time domain is got by FFT&IFFT conjunction with quotient-difference (Q-D) algorithm. Then, the steady state of circuit in normal state is taken as state of zero moment of track circuit, the transient process from normal state transform into crack state is solved. Thirdly, the Electro-Magnetic Transient Program (EMTP) model of crack operation is established to prove that the transient analysis result is correct. It provides a power theoretical basis to distinguish the operation state of track circuit by transient analysis.
An Improved Slope One Algorithm Based on User Similarity Weights
Authors: Zhang Hang , Liu Sheng , Liu Wencheng
Published: June 2018

This paper presents a Slope one improved algorithm based on user similarity and user interest forgetting function. Aiming at the problem of large number of users and a lot of noise data, the inactive users are filtered out by setting the threshold of user activity, and then the neighbors of the target users are obtained through the calculation of user similarity. According to interest forgetting function, and then filter out items that have less effect on current users to reduce the noise data to improve the accuracy of the algorithm. Experimental comparison shows that the improved algorithm has better accuracy than the commonly used weighted Slope one and two-pole Slope one.
Study on the comprehensive evaluation method of machine translation quality
Authors: Yiqun Sun
Published: June 2018

The accurate evaluation of machine translation quality is the main basis of machine translation systems research and development. Based on the analysis of three translation quality assessment factors, i.e. vocabulary, grammar and discourse, this paper built twelve indicators, which classified into five levels of evaluation index system. Meanwhile questionnaire was designed as well. The people with different age, gender, occupation and cultural level were selected as respondents. Then, the data for machine translation evaluation was obtained from questionnaire. The analytic hierarchy process was applied to determine the weighted vector of machine translation evaluation factors. In addition, on this basis, fuzzy mathematics theory was used to establish the comprehensive evaluation vector of machine translation quality. As a result, the quantity comprehensive evaluation for the translation text quality was realized.
Hemolysis detection based on SVM of Adaboost classification algorithm
Authors: Shi xiaonan , Wang Zitong , Zhao Zhenmin
Published: June 2018

Aiming at the problem that clinical hemolysis is difficult to be observed and judged, a method of Adaboost learning classification based on SVM is proposed. The method firstly extracts the basic features of the target area of the blood sample, such as the average of the gray level, the standard deviation of the gray level and the appearance frequency of the particles, as the input eigenvectors of the learning, and carries out SVM weak learner learning. Subsequently, Adaboost algorithm is used to measure the weak learner Set linear weighting, so as to enhance the strong learning device; Finally, online testing, calculation of test sample hemolytic degree and classification. The Adaboost learning classification test based on SVM is compared with the macroscopic and red blood cell counting methods. The experimental results show that the learning-based classification testing method achieves higher detection accuracy without subjective factors and has the highest detection efficiency.
Data Compression and Vectorization of Matrix Multiplication on HXDSP
Authors: Yufu Liu , Wenhui Lang , Guangshuai Jia
Published: June 2018

In order to solve the problem of low efficiency of hardware resources and low data processing ability of vector processors, this paper uses data compression and vectorization method to realize matrix multiplication based on the HXDSP platform with the DCT algorithm in HEVC. It can make full use of the hardware resources of DSP to achieve the optimal optimization. The experimental results show that this method can achieve 32GMACS which is the peak-point multiply-accumulate capability of HXDSP. It can achieve to 2Gpixel/s for the data processing capability, which meets the performance requirements of HEVC coding standard and provides a reference for hardware implementation of HEVC.
Research on e-commerce intelligent service based on Data Mining
Authors: Zhang Jianxi , Zhang Changfeng , Yu Huaizhi
Published: June 2018

With the rapid development of electronic commerce in China, a large amount of information data will be generated at every moment. How to excavate useful information is becoming an important problem In the big data age. Firstly, the smart service model of E-Commerce based on data mining was proposed, and user group mining, user interest mining, industry and domain knowledge mining and business association mining were used to bridge the gap between the big data application and requirements of smart service. Then the technical support system of E-Commerce data mining based on Hadoop platform was suggested to provide technical solution for implementation of smart service applications. And finally, the scenario knowledge recommendation service with the support of big data mining were discussed.
Implementation of UWB indoor location and distance measurement based on TOF algorithm
Authors: Yang JingYi , Yan Ming
Published: June 2018

In order to achieve indoor positioning, based on the distance positioning algorithm is essential, it designs a company using DecaWave DW1000 chip and STM32 embedded control chip using the TOF algorithm and ranging system, indoor location in wireless sensor network. The whole system is divided into hardware and software. The hardware part includes anchor nodes and node labels, set up node using DW1000 chip and STM32 chip combination, the software using C language to write the STM32 location algorithm and control information controller, complete data acquisition, transmission and processing functions, in order to get the node label and the anchor node distance.
An eye and neck coordination strategy based on Jacobi matrix
Authors: Fan Fan , Wu Han , Dong Mingli
Published: June 2018

In order to research the effect of eye and neck rotational velocity on tracking accuracy in the process of target tracking of humanoid vision system, an optimal method of angle decomposition was be proposed based on the Jacobi matrix. By establishing mathematical model, the relationship between rotational angular velocity and decomposition angle is proposed. Through simulation and physical experiments, the relationship between angle of decomposition and rotational angular velocity is approximately linear. Compared with the equalization method, with the increase of angle and angular velocity, the time efficiency of method proposed in this paper increases. The work in this article provides basis for control scheme of target tracking for humanoid vision system.
Cone-beam CT functional imaging method by using volume integral model
Authors: Qian Ying , Zheng Boying
Published: June 2018

In order to improve the precision of functional imaging of cone beam computed tomography (CBCT), this paper firstly uses the dynamic contrast enhancement tomography (DCE-CT) of the white rabbit as the measured object and establishes volume integral model to obtain the projection data. Then the optimization method is used to solve the optimal parameter pairs of the voxel time density curve (TDC). Finally, the results of the perfusion are obtained by the deconvolution method. The results show that the TDC correlation coefficient is 83.99% after, and the maximum of Spearman correlation coefficient of the perfusion parameter is 0.5125, and the projection time consumption is 7.633 seconds through the volume integral model. It can be seen that the volume integral model is closer to the real projection and it can obtain more accurate perfusion data.
Low-Rank Optimization Dictionary Training for Image Classification
Authors: Xuan Lv , Zezhong Ma , Qing Liu
Published: June 2018

Bag-of-words model has been extremely popular in image categorization. The method of constructing the dictionary is important. In this paper a category constrained low-rank optimization dictionary training approach is proposed for the dictionary construction. Through the low-rank optimization, the rank of the coefficient matrix constructed by same category images is minimized. Experimental results show that the proposed method can obtain better performance on two standard image databases (Caltech-101 and Caltech-256) than not employing the category constrained low-rank optimization.
Research on Fractal Characterization of Data Transmission Performance of Hard Disk
Authors: Jiang Wei , Ji Cuicui , Dai Yuntian
Published: June 2018

The data transfer rate is the traditional criterion for evaluating the overall performance of a hard disk. In this paper, the data transmission performance of hard disk was characterized based on fractal theory. The traditional mechanical hard disks and solid state disks with different capacities and specifications were tested and the corresponding signal graph of data transfer was analysed for the calculation of fractal dimension D. The results indicate that the process of hard disk data transfer has fractal characteristics; the fractal dimension D increases with the increase of the average transfer rate and the rotating speed of mechanical hard disk. However, there seems no direct correspondence between the fractal dimension D and the capacity of the hard disk; the larger the floating range of data transmission, the greater value of fractal dimension D.
Identity Recognition Algorithm Based on Static Gait Geometrical and Pressure Data
Authors: Wang Kun , Qian Yiwu , Wu Jinmo , Liu Xiaoyong
Published: June 2018

Currently, pattern recognition technique is widely applied in human identity recognition while there are shortages remaining in most kinds of such techniques. In order to overcome these problems, a novel algorithm is proposed to apply in identity recognition course in new field-static gait recognition field. Two combined features are going for static gait recognition: the distance between each part of center pressure and overall foot and the side length of outline triangle of human foot. Then through the comparison of different classifier, the best course for recognition can be obtained.
Inside the Closed World: User and Device Profile Analytics for SCADA Security
Authors: Zhou Xiaojun , Xu Zhen , Wang Liming , Chen Kai , Chen Cong , Zhang Wei
Published: June 2018

Attacks that use sophisticated and complex methods in-creased recently, aiming to infiltrate the Supervisory Control and Data Acquisition (SCADA) system and stay undetected. Therefore, attackers often get access to authorized permissions of SCADA and bring catastrophic damages by sending ‘legitimate’ control commands. Furthermore, insiders may also misuse or abuse their permissions to damage SCADA system, which is difficult to predict and protect against them. Most existing security systems employ standard signature-based or anomaly-based approaches, which are not able to identify this type of malicious activities. In this paper, we use machine learning algorithms based on Singular Values Decomposition (SVD) to create profiles of users and devices. The major contribution of this paper is providing a general process to detect anomalies, independent of specific use-cases. Suspicious actions are altered to analysts with relevant contextual information for further investigation and action. We provide detailed description of algorithms, methodology, processing of profiling and anomaly detection. Having profiles of different users and devices can provide us a baseline of normal behavior to compare against unusual behaviors. To demonstrate the proposed method, attack scenarios have been simulated at a Compressed Natural Gas (CNG) system in our lab. Experimental results illustrate that the proposed method is effective for abnormal behaviors in SCADA system.
The Parameter Optimization Design Of The Naked Eye Stereoscopic Display With Slit Grating
Authors: liu Jun , Liu Lintao
Published: June 2018

Based on the principle of slit grating free stereoscopic display, an optical system model was established and the system was simulated with tracepro optical design software. Through the analysis of the distribution fringe pattern of light through narrow slit, a method for increasing the visual area and reducing crosstalk is presented. The optimal design of the slit grating free stereo display is realized.
Background Self-adaptive Weakly-monotonic Averaging Image Reduction Operator
Authors: Han Jiaxin , Xia Haiyang , Wei Wenjuan
Published: June 2018

Image reduction can simplify the raw image while preserve the structure feature and details information of pictures. Traditional monotonic averaging-based image reduction operator usually lose the detail features of the raw image after reduction. Recent proposed weakly-monotone image reduction algorithm need to specify the background colour manually in the image reduction process, if the background colour of the image to be reduced is not consistent with the former specified colour, this method does not work as expect. For filling this research gap, a new background adaptive weakly-monotonic averaging image reduction operator which can identify the background and adjust the weight according to the pixel distribution of the image was proposed in this paper. The experiment shows that compared with the previous image reduction operator, it has a better applicability and robustness.
Multi-dimensional Aggregation Recommendation Algorithm Based on Average Prediction
Authors: Han Jiaxin , Wei Wenjuan , Xia Haiyang
Published: June 2018

Traditional collaborative filtering recommendation algorithm uses single dimensional data to calculate the similarity between users or items, ignoring the user’s preference, thus affect the recommendation accuracy. To this end, an averaging forecasting based multi-dimensional aggregation recommendation algorithm was proposed in this paper, which constructs the relationship aggregation function by user’s total score and dimension scores firstly, then apply the aggregation function to the initial multi-dimensional score that calculated by the modified averaging forecasting algorithm. The experiment result shows that compared with the previous collaborative filtering based recommendation algorithm, it has higher recommendation accuracy.
Parameter Estimation of Chirp for Underwater Acoustic Channel
Authors: Junhui FAN , Hua PENG , Chi WEI
Published: June 2018

To overcome the performance degradation of conventional Chirp parameters estimation methods in underwater acoustic multipath channels, a novel parameters estimation method based on Fractional Fourier transform (FRFT) and Fourier transform (FFT) was proposed. Firstly, the Chirp rate was estimated by searching for the best degree of Chirp after Fractional Fourier transform. Secondly, the Chirp signal turned into a single-frequency signal by means of Chirp rate equalization. Finally, FFT was applied to estimate the initial frequency. The simulation experiment show that the proposed algorithm enhanced about 1dB RMSE performance on Chirp initial frequency compared with FRFT while the computational complexity is similar to FRFT.
Secure routing based on trust model and reference node strategy in Ad Hoc network
Authors: Huan Shuiyuan , Wen Jianjun
Published: June 2018

Ad Hoc network is a kind of wireless mobile network that does not depend on any fixed infrastructure. It has the characteristics of no center, self-organization, and high dynamic and limited energy. Therefore, Ad Hoc network has security risks. The Ad Hoc secure routing based on the trust model and the reference node strategy provides a secure environment for the establishment of communication routing. The AODV routing protocol is improved. The protocol selects a trusted communication node to establish routing according to the comprehensive evaluation result of the trust model, and finds out the data message discarding the attack node by the trust model. At the same time, the reference node strategy is proposed to defend the black hole attack node. Theoretical analysis and simulation results show that the proposed secure routing scheme can effectively detect and isolate malicious nodes, resist black hole attack and data packet attack attacks, and has high security characteristics.
A Parameter Adaptive Genetic Algorithm Based Service Compositions
Authors: Yang Huizhou , Zhang Li
Published: June 2018

How to select and combine many services with similar functions reasonably and efficiently to provide users with better service is the main challenge in the service composition problem. This is thorny when the number of the candidate Services is huge. Recently, researches transform the service compositions problem as a multi-objective optimizing task, and then the genetic algorithm is commonly used to tackle this issue. However, the fixed crossover probability and mutation probability settings in genetic algorithm usually result to it falls into a local optimal. To improve the performance of the genetic algorithm in the service composition task, this paper proposes an adaptive parameter adjust strategy, which can adjust the crossover probability and mutation probability automatically. The experiment result shows our method has greatly improved the maximum fitness of the final solutions of traditional genetic algorithm.
Blind Source Separation based on Whale Optimization Algorithm
Authors: Ding-li CHU , Hong CHEN , Han-yi CHEN
Published: June 2018

Aiming at the problem of linear instantaneous aliasing in blind source separation, a new method of blind signal separation using whale optimization algorithm is proposed in this paper, which provides a new research idea and method for blind signal separation. The new method adopts the method of independent component analysis, optimizes the objective function by using the whale optimization algorithm, realizes the blind separation of instantaneous aliasing signals, and effectively avoids the problem of complex parameters and slow convergence rate of the particle swarm optimization algorithm. The simulation results show that the performance of whale optimization algorithm is better than that of particle swarm optimization for blind source separation, and it is effective for blind signal separation.
An Algorithm Based on Relax for Radar HRRP Feature Extraction
Authors: Limin Shen
Published: June 2018

Due to the complexity of target scattering points in high-resolution range cell, the paper makes a detailed study of the scattering center model based on the theory of the scattering center model, and analyzes the traditional extraction algorithm’s limitations. An improved feature extraction method based on Relax for feature extraction has been presented in this paper. Firstly, the method has preprocessed the original digitals so that the noises can be cleaned up and the useful information can be strengthened, and then extracted features in effective range cell. Simulation results based on the measured data prove that the new method could reduce the computation complexity and increase the recognition rate, accurately reflecting geometry positional information of the target.
Research on the Promotion of Word of Mouth in Tourist Scenic Spots Based on Web Text Mining——the Case Study of Wanlu Valley in Guangdong Province
Authors: Ying ZHANG
Published: June 2018

Under the background of Internet economy and sharing economy, tourist scenic spots should pay more attention to tourists' network public opinion and do a good job in cultivating network word of mouth. Taking Wanlu Valley ecotourism area in Guangdong province as an example, the paper collects Baidu index and uses ROST Content Mining software to excavate the post-consumer evaluation text of five tourist websites, such as Tongcheng, Ctrip, Grasshopper's Honeycomb, Meituan, Qunar, etc. By mining the high-frequency characteristic words of the tourist evaluation text, constructing the social semantic network matrix map, and then synthetically analyzing the tourist network attention index and the tourists' evaluation perception information, the result demonstrate that the characteristics of scenic spots, service attitude and tourist facilities are the focuses of tourist evaluation: the number of high-frequency words is large and the degree of praise is high. Therefore, the scenic spots should pay attention to the integration development of "tourism +" industry, improve service quality, enrich tourism experience projects, promote the industrial transformation and update and innovation development of eco-tourism destination.
Non-causal Digital Cancellation in Simultaneous Transmission and Reception Technology
Authors: Bing Sun , Huai-lin Ruan , Hua i Zhong
Published: June 2018

The electronic system occasionally requires the simultaneous transmission and reception of signals in the same platform. In the circumstance of simultaneous transmission and reception, the strong coupling interference signal cancellation requires shorter data and better cancellation effectiveness, but the cancellation performance of general causal canceller is relatively poor. Motivated by this, adopting non-causal filter to realize digital cancellation is then proposed in the paper. The model of non-causal filter digital cancellation is built at first, and the digital cancellation is simulated and analysed. The simulation results demonstrate that the digital cancellation has outstanding characteristics, and at the same time, the results also indicate that in the circumstance of the same filter order, the non-causal filter digital cancellation has better cancellation effectiveness.
Multiple Parameters Estimation of BOC Signal in Multipath Environment
Authors: Wang Yang , Zhou Yang
Published: June 2018

For the multiple parameters estimation of BOC signal at the low SNR and multipath environment, the method which applies the characteristics of cyclic spectrum is developed. Firstly, the cyclic spectrum function of multipath BOC signal is derived. Then the cyclostationary property of BOC signal is analyzed. Finally, a novel parameter estimation algorithm of BOC signal, which makes use of the position of cyclic spectral peaks to estimate the carrier frequency, the subcarrier rate and PN code rate, is present. In the experiment the time-domain smoothing method is used to calculate the cyclic spectrum of BOC signal when the frequency is equal to zero in order to avoid the multidimensional search. At the same time using the method of the cumulative average can increase the SNR margin of the algorithm. Simulation results show that the multiple parameters of multipath BOC signal can be estimated effectively and the estimation performance is associated with the multipath environment.
Milk Somatic Cells Recognition based on Gray-Scale Difference Statistics
Authors: Zhang Xiaoli , Xue Heru , Xiaojing Gao
Published: June 2018

In order to solve the problems in recognition of milk somatic cells and improve the recognition efficiency and accuracy, we put forward a classification algorithm based on the gray-Scale difference Statistics(GLDS). First, the algorithm extracts the gray difference matrix of the image, and from the matrix we can calculate the texture features of cell images. Then uses the K-means algorithm to segment the cells, extracts morphological features from the nucleus. We extract the 8 morphological feature parameters, 4 texture feature parameters, and use the K-fold cross-validation and random forest classification(RF) to classify samples. Experimental results show that the correct rate is 95.36% when using the random forest classifier.
Parallel Compression Based on Prediction Algorithm of Hyper-spectral Imagery
Authors: Wu Wenbin , Wu Yue , Qiao Xu
Published: June 2018

Along with the development of the spectral imaging technology, the precision of the hyper-spectral imagery becomes very high, and the size of the hyper-spectral imagery becomes very large. In order to solve the problem of the transmission and the storage, it is necessary to research the compression algorithm. The traditional prediction algorithm is adopted in the serial processing mode, and the processing time is long. In this paper, we improve the efficiency of the parallel prediction compression algorithm, to meet the needs of the rapid compression. We select bands along the direction of spectral or the direction of space, so that the hyper-spectral imagery can be divided into sub images. We number the sub images, then send them to different processing units. Each unit does compression tasks at the same time. This paper also compares the relationship between the processing unit number and the compression time. The experiment shows that, the parallel predictive compression algorithm can improve the efficiency of compression effectively.
New Multimedia Teaching Method by Multi - screen Interactive
Authors: Li Panfeng , Wei Jiangshu
Published: June 2018

With the development of electronic technology and the Internet, multimedia has become the main form of class. Under normal circumstances, a computer and a screen can meet the needs of teaching. However, in the case of a large number of students, that might not meet the needs. Therefore, the screen sharing between computer and mobile phone via wireless network is of great importance in multimedia teaching. Nevertheless, the existing routing equipment does not support the broadcast of large streaming video files, so we expect to use a method to reduce the transmission of traffic and make the screen sharing between computer and mobile phone possible.
An Distributed Virtual Machine Placement Algorithm for Balanced Resource Utilization and Low Energy Consumption
Authors: Li Bo , Wang Yun
Published: June 2018

Virtual machine placement is the process of selecting the most suitable server in large cloud data centers to deploy newly-created VMs. Traditional load balancing or energy-aware VM placement approaches either allocate VMs to PMs in centralized manner or ignore PM’s cost-capacity ratio to implement energy-aware VM placement. We address these two issues by introducing a distributed VM placement approach. A auction-based VM placement algorithm is devised for help VM to find the most suitable server in large heterogeneous cloud data centers. Our algorithm is evaluated by simulation. Experimental results show two major improvements over the existing approaches for VM placement. First, our algorithm efficiently balances the utilization of multiple types of resource by minimizing the amount of physical servers used. Second, it reduces system cost compared with existing approaches in heterogeneous environment.
q-ary Quasi-Cyclic Codes on Matroid Theory
Authors: Xiuli Li , Pengcheng Zhao , Dangsheng Zhou
Published: June 2018

In this paper, rate 1/p q-ary systematic quasi-cyclic codes are constructed based on matroid theory. The relationship between the generator matrix and minimum distance d is derived. Examples and algorithm are presented.
Patientinnenteilnahme an Tumorkonferenzen: ein wichtiger Faktor für eine gemeinsame Entscheidungsfindung?
Authors: Heuser Christian , Diekmann Annika , Ansmann Lena , Ernstmann Nicole
Published: June 2018

Hintergrund Ein zentrales Instrument multidisziplinärer Versorgung in der Onkologie sind multidisziplinäre Tumorkonferenzen (MTK). Die meisten MTK finden ohne die Teilnahme von Patienten statt und es ist unklar, welchen Nutzen und welche Risiken die Patientinnenteilnahme an MTK hat.

Fragestellung Das vorliegende Forschungsvorhaben zielt auf die Beantwortung folgender drei Fragestellungen ab: 1) Wie unterscheiden sich MTK mit und ohne Patientinnenteilnahme hinsichtlich Organisation und Interaktion in der Versorgung von Brust- und gynäkologischen Tumoren? 2) Wie erleben die Patientinnen die Teilnahme? 3) Wie bewerten die an der MTK teilnehmenden Berufsgruppen die Machbarkeit der Teilnahme von Patientinnen an der MTK und die Qualität der Entscheidungsfindung?

Methodik Mit einer Triangulation unterschiedlicher qualitativer und quantitativer Methoden werden MTK in sechs nordrhein-westfälischen Brust- und gynäkologischen Zentren mit und ohne Patientinnenteilnahme untersucht. Der Mixed-Methods-Ansatz sieht teilnehmende Beobachtungen der MTK sowie Experteninterviews mit den teilnehmenden Berufsgruppen und schriftliche Befragungen der Patientinnen vor. Die Patientinnen werden vor der MTK, direkt danach und vier Wochen im Anschluss anhand von standardisierten Kurzfragebögen befragt.

Ergebnisse Aus den Ergebnissen können erste Hinweise auf Machbarkeit, Risiken und Nutzen der Patientinnenteilnahme an MTK für die Patientinnen und die teilnehmenden Berufsgruppen abgeleitet sowie Aufschluss über die konkrete Praxis gemeinsamer Entscheidungsfindung in Tumorkonferenzen abgeleitet werden.

Diskussion Die hier beschriebene explorative Studie ist eine notwendige Vorarbeit für die weitere Erforschung der Auswirkungen der Patientinnenteilnahme auf Outcomes in interventionellen Designs.
Carbene-Type Species in the Functionalization of Porphyrin Derivatives
Authors: Gomes Ana , Forezi Luana , Simões Mário , Gonzaga Daniel , Cardoso Mariana , Da Silva Fernando , Neves Maria , Ferreira Vítor , Cavaleiro José
Published: June 2018

Carbenes and NHCs play an important role in porphyrin chemistry and several synthetically useful transformations leading to the preparation of new porphyrin derivatives have been developed. This short review presents an overview covering the literature from 2007–2017, on the role of these transient species in the functionalization of porphyrin macrocycles.
Vinylogous Blaise Reaction: Conceptually New Synthesis of
Pyridin-2-ones
Authors: Rao H. , Muthanna Nandurka , Padder Ashiq
Published: June 2018

A conceptually new synthesis of pyridine rings by a [C4 + CN] assembly has been developed by applying a vinylogous version of the classic Blaise reaction. The zinc-mediated reaction of (het)aryl or alkyl nitriles with ethyl-4-bromocrotonate provided a variety of C(6)-substituted pyridin-2-ones in a single-step.
Hemostasis in Allergy
Authors: Toubi Elias , Vadasz Zahava
Published: June 2018

The involvement of the hemostatic system in immune-mediated inflammation is widely reported. Many coagulation factors play a role in the pathogenesis of autoimmune diseases, such as systemic vasculitis and systemic lupus erythematosus. Hemostatic disorders are also involved in asthma and chronic spontaneous urticaria (CSU). Factor XIIa (FXIIa) was one of the first coagulation factors implicated in inducing both humoral and cellular responses and is therefore considered a prime new therapeutic target in immune-mediated inflammation. The involvement of coagulation factors, such as tissue factor and fibrinogen, in the pathogenesis of asthma has been reported. The finding of platelet activation in asthma also indicates a link between bronchial inflammation and hemostasis. The pathogenesis of mast cell degranulation and CSU was also shown to be associated with the activation of hemostatic factors such as fibrinogen and FXIIa. Increased plasma levels of D-dimer have been widely reported as a biological marker for the duration and severity of CSU. In addition, endothelial-induced cell activation by the kallikrein–high molecular weight complex and the release of heat shock protein 90 was shown to be involved in mast cell degranulation disorders. In this narrative review, the authors aim to summarize the role of hemostasis in inflammation, asthma, and CSU by focusing on the increasing information linking hemostatic factors and immune-mediated disorders.
Negative Pressure Wound Dressing Reduces Surgical Site Infections in Infants after Closed Abdominal Procedures: A Preliminary Report
Authors: Zoeller Christoph , Yoshizawa Emi , Sethi Mohammad V. , Ure Benno M. , Kuebler Joachim F.
Published: June 2018

Introduction Negative pressure wound therapy (NPWT) is a novel tool to reduce surgical site infections (SSIs). Although SSIs are a common source of morbidity in infants undergoing laparotomy, the cost of the available NPWT devices has restricted its use to adult high-risk patients. We developed a low-cost method of NPWT in infants and analyzed its impact on the incidence of SSIs in infant patients.

Materials and Methods A consecutive series of infants (age ≤ 12 months) who underwent a clean-contaminated, contaminated, or dirty abdominal procedure via laparotomy from 08/2015 to 12/2016 were included. The choice of the applied dressing, either NPWT or standard surgical dressing (SSD), was made at the surgeon's discretion. SSIs were documented prospectively. The Horan definition and the Clavien-Dindo classification were used. The cost of material was calculated for both groups.

Results Ninety-three consecutive patients were included (65 SSD and 28 NPWT). SSI occurred in 10 patients in the SSD group, Grade I in 7 and Grade II in 3 (Clavien-Dindo classification). No SSI occurred in patients with NPWT (p < 0.05). The cost of an SSD was less than 1 €, and the cost of a NPWT was less than 10 €.

Conclusion The routine use of this modified vacuum wound dressing may be an efficient and affordable technique to decrease SSIs in infants who underwent contaminated abdominal operations.
Framed M-branes, corners, and topological invariants
Authors: Sati Hisham
Published: June 2018

We uncover and highlight relations between the M-branes in M-theory and various topological invariants: the Hopf invariant over Q, Z and Z2, the Kervaire invariant, the f-invariant, and the ν-invariant. This requires either a framing or a corner structure. The canonical framing provides a minimum for the classical action and the change of framing encodes the structure of the action and possible anomalies. We characterize the flux quantization condition on the C-field and the topological action of the M5-brane via the Hopf invariant, and the dual of the C-field as (a refinement of) an element of Hopf invariant two. In the signature formulation, the contribution to the M-brane effective action is given by the Maslov index of the corner. The Kervaire invariant implies that the effective action of the M5-brane is quadratic. Our study leads to viewing the self-dual string, which is the boundary of the M2-brane on the M5-brane worldvolume, as a string theory in the sense of cobordism of manifolds with corners. We show that the dynamics of the C-field and its dual are encoded in a unified way in the 4-sphere, which suggests the corresponding spectrum as the generalized cohomology theory describing the fields. The effective action of the corner is captured by the f-invariant, which is an invariant at chromatic level two. Finally, considering M-theory on manifolds with G2 holonomy, we show that the canonical G2 structure minimizes the topological part of the M5-brane action. This is done via the ν-invariant and a variant that we introduce related to the one-loop polynomial.
Chimera states and intermittency in an ensemble of nonlocally coupled Lorenz systems
Authors: Shepelev I. A. , Strelkova G. I. , Anishchenko V. S.
Published: June 2018

We study the spatiotemporal dynamics of coupled Lorenz systems with nonlocal interaction and for small values of the coupling strength. It is shown that due to the interaction the effective values of the control parameters can shift and the classical quasi-hyperbolic Lorenz attractor in an isolated element is transformed to a nonhyperbolic one. In this case, the network becomes multistable that is a typical property of nonhyperbolic chaotic systems. This fact gives rise to the appearance of chimera-like states, which have not been found in the studied network before. We also reveal and describe three different types of intermittency, both in time and in space, between various spatiotemporal structures in the network of nonlocally coupled Lorenz models.
The significance of the properties of water for the working cycle of the kinesin molecular motor
Authors: Kuffel Anna , Szałachowska Monika
Published: June 2018

Explicit solvent molecular dynamics simulations were performed in this study to investigate and discuss several aspects of the influence of the properties of water on the working cycle of a molecular motor from the kinesin superfamily. The main objects of attention were: the binding of the neck linker and the association of the kinesin and the tubulin. The docking of the neck linker is considered a crucial event during the working cycle and is said to be the one that contributes to propelling the motor forward. Herein, it is demonstrated that the solvent contributes to the force-generating mechanism of the motor—the absolute value of the force generated by the linker depends on the properties of the solvent. The force can also depend on the instantaneous conformation of the protein. Our results show that the force may not be strictly the same during every step, as well as during the whole process of the docking, but we checked that even the smaller forces measured by us were big enough to propel the kinesin head along the protofilament with the required speed. It is also shown that the dynamics of the process of approach of the kinesin to its binding site on the microtubule track changes rapidly as the proteins come closer. The influence of the properties of interfacial water on the kinetics of this process is discussed here.
Families of spectral triples and foliations of space(time)
Authors: van den Dungen Koen
Published: June 2018

We study a noncommutative analog of a spacetime foliated by spacelike hypersurfaces, in both Riemannian and Lorentzian signatures. First, in the classical commutative case, we show that the canonical Dirac operator on the total spacetime can be reconstructed from the family of Dirac operators on the hypersurfaces. Second, in the noncommutative case, the same construction continues to make sense for an abstract family of spectral triples. In the case of Riemannian signature, we prove that the construction yields in fact a spectral triple, which we call a product spectral triple. In the case of Lorentzian signature, we correspondingly obtain a “Lorentzian spectral triple,” which can also be viewed as the “reverse Wick rotation” of a product spectral triple. This construction of “Lorentzian spectral triples” fits well into the Krein space approach to noncommutative Lorentzian geometry.
Effect of gap flow on the shallow wake of a sharp-edged bluff body—Coherent structures
Authors: Shinneeb A.-M. , Balachandar R. , Zouhri K.
Published: June 2018

This experimental study was carried out to investigate the turbulent wake generated by a vertical sharp-edged flat plate suspended in a shallow channel flow with a gap near the bed. This paper is the third part of an extensive study to characterize the gap-flow effects and is primarily focused on the characteristics of vortices in the wake flow. Two different gap heights were studied which were compared to the no-gap flow case. The Reynolds number based on the water depth was 45 000. Extensive measurements of the flow field in the vertical and horizontal planes were made using a particle-image velocimetry (PIV) system. The large vortices were exposed by analyzing the PIV velocity fields using the proper orthogonal decomposition (POD) method. Only a few modes for the POD reconstruction were used to recover ∼50% of the energy content. A vortex identification algorithm was then employed to quantify the properties of the exposed vortices. A statistical analysis of the distribution of number, size, and strength of the identified vortices was carried out to explore the characteristics of the vortices. The results revealed that the gap flow causes an increase in the number of vortices up to ∼81% higher than the no-gap flow case, but a decrease in the vortex size and strength. The occurrence of pairing and tearing processes is observed in the wake flow. In addition, a mathematical model was used to predict the relationship between the vortex circulation and vortex size, which is found to be a function in several parameters.