Experimental observation of a multirhythmic pattern in chains of Rossler circuits

The influence of parameter mismatches on multirhythmic patterns in chains of coupled Rossler circuits are explored experimentally. The parameter mismatches in coupled chaotic oscillators are found to help form a kind of multirhythmic pattern as reported in chains of biological coupled oscillators [Phys. Rev. Lett. 92 228102]. Moreover, a new type of multirhythmic pattern based on the envelope of time series is observed.

Organization of pattern information in the pattern based software development:A POMSDP model

Foeused on the lack of proper organization for patterns in the development of pattern based software, a POMSDP model with layered tree structure for organizing patterns during the process of development was put torward. The model and its interrelated eoneepts were strictly defined and introduced by applying the theory of set, symbolie logic and pattern, which ensures the correctness, maturity and expansibility of the model. The expansibility of the model was discussed mainly. The basic realization and the application in the automatic query system were presented. Based on the existing software development methods, the POMSDP model resolves the problem of chaos in the application of patterns, strengthens the controllability of the system, and facilitates the improvement, maintenance, expansion, and especially the reengineering of the software system.

Capacitor Pattern H-Bridge Multilevel Inverter (CPHMLI) Using Phase Diposition Pulse Width Modulation for Grid Applications

This work presents an implementation of an innovative single phase multilevel inverter using capacitors with reduced switches. The proposed Capacitor pattern H-bridge Multilevel Inverter (CPHMLI) topology consists of a proper number of Capacitor connected with switches and power sources. The advanced switching control supplied by Pulse Width Modulation (PDPWM) to attain mixed staircase switching state. The charging and discharging mode are achieved by calculating the voltage error at the load. Furthermore, to accomplish the higher voltage levels at the output with less number of semiconductors switches and simple commutation designed using CPHMLI topology. To prove the performance and effectiveness of the proposed approach, a set of experiments performed under various load conditions using MATLAB tool.

Shuyang A new pattern based on intelligence

Shuyang,an industrial base of wrapped yarn,enjoys the largest number of equipment and largest production in China or even in the world.Shuyang intelligent knitting industrial park was laid a foundation on March 10,and factory workshops in 130,000 square meters are topped off in less than three months in the first construction stage,which is 6 months earlier than planned.What is more unexpected is that they are sold out

Local Binary Patterns and Its Variants for Finger Knuckle Print Recognition in Multi-Resolution Domain

Finger Knuckle Print biometric plays a vital role in establishing security for real-time environments. The success of human authentication depends on high speed and accuracy. This paper proposed an integrated approach of personal authentication using texture based Finger Knuckle Print (FKP) recognition in multiresolution domain. FKP images are rich in texture patterns. Recently, many texture patterns are proposed for biometric feature extraction. Hence, it is essential to review whether Local Binary Patterns or its variants perform well for FKP recognition. In this paper, Local Directional Pattern (LDP), Local Derivative Ternary Pattern (LDTP) and Local Texture Description Framework based Modified Local Directional Pattern (LTDF_MLDN) based feature extraction in multiresolution domain are experimented with Nearest Neighbor and Extreme Learning Machine (ELM) Classifier for FKP recognition. Experiments were conducted on PolYU database. The result shows that LDTP in Contourlet domain achieves a promising performance. It also proves that Soft classifier performs better than the hard classifier.

Pitch perception of harmonic complex tones based on excitation patterns

Fundamental frequency difference limens were measured to study whether pitch perception of medium-rank harmonic complex tones depends on the resolvability of the compo- nents and to study the effect of masker tone on discrimination performance. Target tone was presented alone, or mixed with the masker, which were filtered into the same bandpass frequency region （low, medium, or high） to obtain different resolvability. There were five kinds of funda- mental frequency difference and four kinds of phase combination between target and masker. Five young subjects participated in experiments, all of whom had normal hearing （thresholds ≤ 15 dB HL）. Results found fundamental frequency difference limens were increased with up-shift frequency region of the harmonics. The fundamental frequency difference between target and masker had a significant impact on the performance, while phase effects were small. Analysis suggested that resolvability of harmonics had a significant impact on the fundamental frequency difference limens, but pitch perception of medium-rank harmonics was not based on the resolv- ability. Analysis also suggested that most results of pitch perception of target-masker mixture were closely correlated with peaks on the excitation patterns.

Clinical observation on electroacupuncture plus tuina for chronic tension-type headache

Objective：To observe the clinical efficacy of electroacupuncture （EA） combined with tuina for chronic tension-type headache （CTTH）. Methods：A total of 97 CTTH cases were randomly allocated into an observation group （n=52） and a control group （n=45）. Patients in the observation group were treated with EA plus tuina based on pattern identification, whereas patients in the control group were treated with oral amitriptyline and oryzanol. Patients in both groups were treated for 8 weeks. A follow-up was conducted 3 months after the treatment. The intensity, duration, and frequency of the headache were recorded and compared before and after the treatment. Additionally, the patients＇ psychological state and quality of life （QOL） were compared between the two groups. Results：There were intra-group statistically significant differences in headache intensity score, headache duration, and headache frequency after the treatment and during the follow-up compared with those before the treatment （allP〈0.05）; and there were between-group statistically significant differences during the same time frame （allP〈0.05）. The Hamilton depression scale-17 items （HAMD-17） and Hamilton anxiety scale （HAMA） scores were significantly reduced in both groups after the treatment or during the follow-up （allP〈0.01）; and there were no between-group statistical significances during the same time frame （allP〉0.05）. The World Health Organization quality of life-BREF （WHOQOL-BREF） scores were significantly reduced in both groups after the treatment or during the follow-up （allP〈0.05）; and the scores in the observation group were significantly lower than those in the control group （allP〈0.05） during the same time frame. The total effective rate was 88.0% in the observation group, versus 71.4% in the control group, showing a significant difference （P〈0.05）. Conclusion：EA combined with tuina can significantly decrease the frequency of chronic tension-type headache, alleviate headache intensity, shorten headache duration, and improve the patients＆#39; wellness. It is better than amitriptyline plus oryzanol.

Case studies of Chinese acupuncture's comprehensive effectiveness on knee pain

Conventional Western medicine（CWM） and traditional Chinese medicine（TCM） have different approaches and lead to different practices in experimental design, research methodology, regulation, and standards. TCM emphasizes on the optimal or holistic health. In contrast, CWM is an allopathic medicine primarily based on anatomy, biology, biochemistry,molecular biology and modern technology, and rejects the concept of invisible substances and quantum entanglement.Consequently, CWM emphasizes on abnormal lab tests or obvious diseases. In the early 1970 s, TCM and acupuncture quickly emerged as an alternative to CWM as Westerners explored new TCM concepts while questioning the side effects of CWM. Many countries accept traditional acupuncture as a legal alternative medical practice. Some CWM physicians nowadays are more enthusiastic and are receptive to learning and practicing acupuncture. The common goal of CWM and TCM is to enhance human health, but problems arise over differences in approach. As a response to some Western journal papers that failed to validate the real acupuncture effect because of their incorrect methodologies and their ignorance of the holistic acupuncture approaches, the authors hereby present a group of case studies to demonstrate the real and unique effects of genuine acupuncture. The objective was to explore the clinical effects of acupuncture for knee pain.Thirty-six patients with knee pain were divided into five groups based on age. Holistic TCM diagnosis was performed at the beginning of each case and then made a personalized acupuncture treatment prescription according to the root of illness found by the diagnosis. The symptoms and signs were recorded before and after every treatment, and the treatment effects were assessed based upon the self-reported feeling and the observed changes of the patient following the numeric rating scale（NRS）. The results were summarized after the completion of the minimal 5 acupuncture treatments or the standard 10 acupuncture treatments. Among the 36 patients who participated in the cases studies, 17 patients reported a complete healing for knee pain（47.2%）. About 60 kinds of illness other than knee pain were improved（98.9%） and the complete healing rate was about 44.2%. This leads to the conclusion that TCM acupuncture is remarkably effective in treating knee pain. TCM and CWM share a common goal in promoting the health of human being. The efficacy of TCM acupuncture in treating knee pain shouldn＇t be denied or distorted.

Online Induction of Probabilistic Real-Time Automata

The probabilistic real-time automaton （PRTA） is a representation of dynamic processes arising in the sciences and industry. Currently, the induction of automata is divided into two steps： the creation of the prefix tree acceptor （PTA） and the merge procedure based on clustering of the states. These two steps can be very time intensive when a PRTA is to be induced for massive or even unbounded datasets. The latter one can be efficiently processed, as there exist scalable online clustering algorithms. However, the creation of the PTA still can be very time consuming. To overcome this problem, we propose a genuine online PRTA induction approach that incorporates new instances by first collapsing them and then using a maximum frequent pattern based clustering. The approach is tested against a predefined synthetic automaton and real world datasets, for which the approach is scalable and stable. Moreover, we present a broad evaluation on a real world disease group dataset that shows the applicability of such a model to the analysis of medical processes.