Student’s Health Exercise Recognition Tool for E-Learning Education

Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a difficult task but an important one due to the physical education needs especially in young learners.The proposed system focuses on the necessary implementation of student health exercise recognition(SHER)using a modified Quaternion-basedfilter for inertial data refining and data fusion as the pre-processing steps.Further,cleansed data has been segmented using an overlapping windowing approach followed by patterns identification in the form of static and kinematic signal patterns.Furthermore,these patterns have been utilized to extract cues for both patterned signals,which are further optimized using Fisher’s linear discriminant analysis(FLDA)technique.Finally,the physical exercise activities have been categorized using extended Kalmanfilter(EKF)-based neural networks.This system can be implemented in multiple educational establishments including intelligent training systems,virtual mentors,smart simulations,and interactive learning management methods.

基于B/S和SOA架构的LIMS系统设计与研究

为提升水质检测业务的专业化、智能化、系统化、自动化水平,针对新发展阶段下水利高质量发展对水质信息管理的需求,研究并开发基于B/S系统架构和SOA设计架构的新型综合性水质信息管理系统(LIMS),运用仪器谱图识别及数据提取、PHP与MySQL融合、仪器谱图与原始记录自动关联等技术,在一定程度上提高水质数据的电子化无纸化获取、处理、传输及应用等方面的管理水平,实现水质检测业务流程与资源的动态关联和闭环追溯,提升水质监测评价工作的管理效率和质量管理能力。基于B/S和SOA架构的LIMS在前沿高新技术中的应用研究,为水质检测和管理的各项活动提供智能、高效的数据支持平台,也为水利行业信息系统管理建设及水域功能监测监管提供技术支撑。

Performance Comparison of DCT and VQ Based Techniques for Iris Recognition

Iris recognition enjoys universality, high degree of uniqueness and moderate user co-operation. This makes iris recognition systems unavoidable in emerging security ＆ authentication mechanisms. An iris recognition system based on vector quantization （VQ） techniques is proposed and its performance is compared with the discrete cosine transform （DCT）. The proposed system does not need any pre-processing and segmentation of the iris. We have tested Linde-Buzo- Gray （LBG）, Kekre＇s proportionate error （KPE） algorithm and Kekre＇s fast codebook generation （KFCG） algorithm for the clustering purpose. Proposed vector quantization based method using KFCG requires 99.99% less computations as that of full 2-dimensional DCT. Further, the KFCG method gives better performance with the accuracy of 89.10% outperforming DCT that gives accuracy around 66.10%.

The Impact of Government Supervision and Consumer Purchasing Behavior on Food Safety

This paper aims at the theoretical analysis to the impact of government supervision and consumer purchasing behavior on food quality security, so as to look for safety strategies and measures to strengthen and improve the level of food safety in China. Reputation mechanism is introduced and Bayesian approach is based on, in which government supervision as well as consumer purchasing behavior is taken as crucial factors to impact on the food quality security. As to the proposed quantitative indicators, government supervision includes exposure rate, fine and etc.;at the same time, consumer purchasing behavior includes consumer’s WTP for security food and consumer expectations to food safety. Taking China’s dairy industry as an example, it makes simulation by Netlog. The results show that consumer purchasing behavior alone has little effect on the dairy companies’ decision-making to be honest or counterfeiting enterprises. However, combination government supervision with purchasing behavior has great impact, and plays very good effects on food safety.

Automatic Alzheimer’s Disease Recognition from MRI Data Using Deep Learning Method

Alzheimer’s Disease (AD), the most common form of dementia, is an incurable neurological condition that results in a progressive mental deterioration. Although definitive diagnosis of AD is difficult, in practice, AD diagnosis is largely based on clinical history and neuropsychological data including magnetic resource imaging (MRI). Increasing research has been reported on applying machine learning to AD recognition in recent years. This paper presents our latest contribution to the advance. It describes an automatic AD recognition algorithm that is based on deep learning on 3D brain MRI. The algorithm uses a convolutional neural network (CNN) to fulfil AD recognition. It is unique in that the three dimensional topology of brain is considered as a whole in AD recognition, resulting in an accurate recognition. The CNN used in this study consists of three consecutive groups of processing layers, two fully connected layers and a classification layer. In the structure, every one of the three groups is made up of three layers, including a convolutional layer, a pooling layer and a normalization layer. The algorithm was trained and tested using the MRI data from Alzheimer’s Disease Neuroimaging Initiative. The data used include the MRI scanning of about 47 AD patients and 34 normal controls. The experiment had shown that the proposed algorithm delivered a high AD recognition accuracy with a sensitivity of 1 and a specificity of 0.93.

F-Law collision and system state recognition

Using function one direction S-rough sets （function one direction singular rough sets）, f-law and F- law and the concept of law distance and the concept of system law collided by F-law are given. Using these concepts, state characteristic presented by system law collided by F-law and recognition of these states characteristic and recognition criterion and applications are given. Function one direction S-rough sets is one of basic forms of function S-rough sets （function singular rough sets）. Function one direction S-rough sets is importance theory and is a method in studying system law collision.

牛冠状病毒S和HE蛋白研究进展

牛冠状病毒(Bovine coronavirus,BCoV)是引起新生犊牛腹泻、牛的呼吸道感染和成年牛冬痢的一种病原,主要通过粪-口感染和呼吸道气溶胶传播。研究表明,BCoV在亚临床感染的成年牛体内可持续存在,这可能是BCoV在牛群中广泛存在且能长期循环的原因。因此,BCoV的流行会对集约化牛场造成巨大的经济损失,BCoV的防控形势极其严峻。BCoV S蛋白包含主要的抗原位点,可与宿主表面的唾液酸(SA)结合,且S蛋白参与病毒与宿主细胞的吸附和膜融合过程,能促进宿主产生有效的中和抗体。BCoV HE蛋白具有乙酰酯酶活性和血凝活性,能与S蛋白协同附着于细胞表面并启动感染。S和HE蛋白均在病毒的组织或宿主嗜性及毒力等方面发挥重要作用,这些作用也为进一步开展BCoV病原研究及后续疫苗和药物的研制提供参考。笔者重点阐述了BCoV S和HE蛋白的分子结构及功能,以及BCoV基于S和HE蛋白的受体识别作用(包括利用N-乙酰-9-O-乙酰神经氨酸为糖结合受体,利用人类白细胞抗原Ⅰ类分子为蛋白结合受体)。受体识别是冠状病毒感染和致病的重要决定因素,也是宿主免疫监视和人类干预策略最重要的靶标之一。因此,充分了解BCoV S和HE蛋白的结构功能和受体识别作用对于了解病毒的致病机制及抗病毒药物、疫苗的研发具有重要意义。

F-generation law and recognition of system law

If a system is not disturbed （or invaded） by some law, there is no doubt that each system will move according to the expected law and keep stable. Although such a fact often appears, some unknown law breaks into the system and leads it into turbulence. Using function one direction S-rough sets, this article gives the concept of the F-generation law in the system, the generation model of the F-generation law and the recognition method of the system law. Function one direction singular rough sets is a new theory and method in recognizing the disturbance law existing in the system and recognizing the system law.

Security transmission and recognition of F-knowledge

The concept of F-knowledge is presented by employing S-rough sets. By engrafting and penetrating between the F-knowledge generated by S-rough sets and the RSA algorithm, the security transmission and recognition of multi-agent F-knowledge are proposed, which includes the security transmission of multi-agent F-knowledge with positive direction secret key and the security transmission of multi-agent F-knowledge with reverse direction secret key. Finally, the recognition criterion and the applications of F-knowledge are presented. The security of F-knowledge is a new application research direction of S-rough sets in information systems.

Government's Responsibility for Control of Agricultural Environmental Pollution in China

In this paper,the current situation of agricultural environmental pollution caused by the increase of chemicals input in agriculture in China was analyzed,and it is found that agricultural pollution is related to agricultural industrial policies,urban-rural economic structure,funds input in pollution control,comprehensive environmental management,laws of pollution control,and so forth. To control agricultural pollution effectively,it is needed to implement integration of agricultural and environmental policies,establish environmentally friendly agricultural technology popularizing system,implement integrated planning and management of a basin,and set up and improve legislation to protect agricultural environment.

Liver fibrosis recognition using multi-compression elastography technique

Liver fibrosis recognition is an important issue in diagnostic imaging. The accurate estimation of liver fibrosis stages is important to establish prognosis and to guide appropriate treatment decisions. Liver biopsy has been for many years the reference procedure to assess histological definition for liver diseases. But biopsy measurement is an invasive method besides it takes large time. So, fast and improved methods are needed. Using elastography technology, a correlation technique can be used to calculate the displacement of liver tissue after it has suffered a compression force. This displacement is related to tissue stiffness, and liver fibrosis can be classified into stages according to that displacement. The value of compression force affects the displacement of tissue and so affects the results of the liver fibrosis diagnosing. By using finite element method, liver fibrosis can be recognized directly within a short time. The proposed work succeeded in recognizing liver fibrosis by a percent reached in average to 86.67% on a simulation environment.

Visualization of flatness pattern recognition based on T-S cloud inference network

Flatness pattern recognition is the key of the flatness control. The accuracy of the present flatness pattern recognition is limited and the shape defects cannot be reflected intuitively. In order to improve it, a novel method via T-S cloud inference network optimized by genetic algorithm(GA) is proposed. T-S cloud inference network is constructed with T-S fuzzy neural network and the cloud model. So, the rapid of fuzzy logic and the uncertainty of cloud model for processing data are both taken into account. What's more, GA possesses good parallel design structure and global optimization characteristics. Compared with the simulation recognition results of traditional BP Algorithm, GA is more accurate and effective. Moreover, virtual reality technology is introduced into the field of shape control by Lab VIEW, MATLAB mixed programming. And virtual flatness pattern recognition interface is designed.Therefore, the data of engineering analysis and the actual model are combined with each other, and the shape defects could be seen more lively and intuitively.

■-law collision and system state recognition

Using dual function one direction S-rough sets, this article gives the f-law, the F-law, law distance and the concept of system law collided by the F-law. The characteristics presented by the system law collided by the F-law, the recognition of these characteristics and recognition criterion are also proposed. The dual function one direction S-rough sets is one of the basic forms of function S-rough sets. Its basic theory and application in the study of system law collision are reviewed.

F-interference law generation and its feature recognition

By using two-directional S-rough sets, the concepts of （f, f）-interference generation and （f, f）- interference law generation of knowledge, F-interference generation and F-interference law generation of two-directional S-rough sets are proposed. Based on the concepts above, the relation theoreras between F-interference loss and F-interference degree, the relation theorems between F-interference loss law and F-interference degree law, the dis- cernibility theorems between F-interference and F-interference law are presented. At last, the recognition criterion of F-interference law and its application are given.

基于人脸识别的课堂教学行为S-T分析系统设计

提出并详细介绍了一种基于人脸识别技术的课堂教学行为S-T分析系统的设计。该系统以S-T分析法为理论基础,采用多种人脸识别算法,包括年龄检测、表情分析、姿态分析等,旨在自动识别并分析教师和学生在课堂上的行为。基于大量课堂视频数据的准备、软件系统原型的设计、深入研究课堂教学行为理论等,解决人脸识别技术的算法选型、视频关键帧的分析与因果关系模型的建立、系统运行的稳定性和界面设计等关键技术问题。通过系统性的需求分析、设计与架构、实现、评估与可视化等阶段的论述,详细展现了该系统的开发过程。

Event-related potential N170 for early diagnosis of face recognition impairment in Parkinson's disease

Event-related potential （ERP） studies of cognitive function in Parkinson＇s disease （PD） have focused on P300 and N270. However, little is known regarding face recognition ERP in PD. The present study assessed cognitive function in PD patients using neuropsychological scales and analyzed N170 of visuospatial function impairment （VFI） in PD. Results showed that Montreal cognitive assessment can be used for assessing cognitive impairment when visuospatial functioning is changed during the early stage of PD. Face recognition has clinical significance for detecting changes in visuospatial functioning. However, N170 is not sensitive for detection of VFI in PD, which implies that VFI does not appear in the stage of structure coding in face recognition. In addition, VFI affects face recognition.

On Russia's Government Shakeup

On March 23,1998,Russian President Boris Yeltsin stunned the nation by dis-missing the government of Prime Minister Viktor Chernomyrdin.Then henominated Mr.Sergei Kiriyenko,35,who had been OD the energy minister postfor only three months,for the new head of the cabinet.This immediately ignited afierce political war of a month long between the executive and the legislature draw-ing great concern from the international community.At the moment when

Emotion recognition and inhibitory control in manifest and pre-manifest Huntington’s disease: evidence from a new Stroop task

Huntington’s disease(HD)is a genetic neurodegenerative disorder that affects not only the motor but also the cognitive domain.In particular,cognitive symptoms such as impaired executive skills and deficits in recognizing other individuals’mental state may emerge many years before the motor symptoms.This study was aimed at testing two cognitive hypotheses suggested by previous research with a new Stroop task created for the purpose:1)the impairment of emotion recognition in HD is moderated by the emotions’valence,and 2)inhibitory control is impaired in HD.Forty manifest and 20 pre-manifest HD patients and their age-and gender-matched controls completed both the traditional“Stroop Color and Word Test”(SCWT)and the newly created“Stroop Emotion Recognition under Word Interference Task”(SERWIT),which consist in 120 photographs of sad,calm,or happy faces with either congruent or incongruent word interference.On the SERWIT,impaired emotion recognition in manifest HD was moderated by emotion type,with deficits being larger in recognizing sadness and calmness than in recognizing happiness,but it was not moderated by stimulus congruency.On the SCWT,six different interference scores yielded as many different patterns of group effects.Overall our results corroborate the hypothesis that impaired emotion recognition in HD is moderated by the emotions’valence,but do not provide evidence for the hypothesis that inhibitory control is impaired in HD.Further research is needed to learn more about the psychological mechanisms underlying the moderating effect of emotional valence on impaired emotion recognition in HD,and to corroborate the hypothesis that the inhibitory processes involved in Stroop tasks are not impaired in HD.Looking beyond this study,the SERWIT promises to make important contributions to disentangling the cognitive and the psychomotor aspects of neurological disorders.The research was approved by the Ethics Committee of the“Istituto Leonarda Vaccari”,Rome on January 24,2018.

The Transformation of Environmental Governance from the Point of the Interaction between Government and National People's Congress

Taking cadmium pollution in X River as an example, the interaction between National People＇s Congress and local government was de- scribed. How the local government transforms its role in environment protection with the help of several deputies to National People＇s Congress was expounded from the angle of social construction, which also enlightened the way to build an environment protection road with Chinese characteristics.

On the Government's Responsibility in China's Rural Land Transfer

There is an urgent need for China's rural land transfer in order to develop modern agriculture,ensure food security,transfer rural population,and accelerate industrialization and urbanization.At present,there is still disordered transfer of rural land in China,making the interests of the transferors and transferees difficult to be effectively guaranteed;there is inefficient transfer,leading to decline in actual agricultural production level after transfer;there is jobless transfer,leading to difficult placement for rural surplus labor after transfer,seriously restricting rural land transfer.Therefore,the Chinese government's legal responsibility,economic responsibility and social responsibility in rural land transfer should be further strengthened.