Analysis of New Model of "Rule by Three Committees" and Discussion on Construction of Villagers' Self-governing Organizations in China

This paper introduces the operation model of "rule by three committees", including the members of "three committees", functional constitution of "three committees", and relationship between restriction and coordination of "three committees". By referring to the villagers' self-governing system in China, and the relevant provisions in Constitution and Village Committee Organization Law, we take into account the legitimacy of "rule by three committees". In terms of the details of system design, we perfect the new model of "rule by three committees" as follows: make the conditions of holding office stringent and ensure the quality requirements of members of "three committees"; standardize the procedures of election, and guarantee the equitable election of members of "three committees"; perfect dismissal procedure, and strengthen the supervision on members of "three committees".

A NEW SELF-ADAPTIVE ITERATIVE METHOD FOR GENERAL MIXED QUASI VARIATIONAL INEQUALITIES

The general mixed quasi variational inequality containing a nonlinear term φ is a useful and an important generalization of variational inequalities. The projection method can not be applied to solve this problem due to the presence of nonlinear term. It is well known that the variational inequalities involving the nonlinear term φ are equivalent to the fixed point problems and resolvent equations. In this article, the authors use these alternative equivalent formulations to suggest and analyze a new self-adaptive iterative method for solving general mixed quasi variational inequalities. Global convergence of the new method is proved. An example is given to illustrate the efficiency of the proposed method.

Parameter Self - Learning of Generalized Predictive Control Using BP Neural Network

This paper describes the self—adjustment of some tuning-knobs of the generalized predictive controller(GPC).A three feedforward neural network was utilized to on line learn two key tuning-knobs of GPC,and BP algorithm was used for the training of the linking-weights of the neural network.Hence it gets rid of the difficulty of choosing these tuning-knobs manually and provides easier condition for the wide applications of GPC on industrial plants.Simulation results illustrated the effectiveness of the method.

Self - Crosslinking Behavior of Self - Emulsion Water - Based Polyure-thane Coating Agents

The relation between structures and properties of polyurethane are investigated by modern physical and chemical methods.The results obtained are as follows:the effects of the content of self-crosslinking agent on the properties of polyurethane,i.e.,dispersion stability,dynamical viscoelasticity and mechanical properties are discussed.It is found that the optimum molar ratio of epichlorohydrin and diethylenetriamine is 1:2.A mois-

Culture Self- Consciousness in Transmission of Chinese Philosophy from the Perspective of English Globalization -- Taking the Belt and Road Initiative for Example

The Belt and Road Initiative contains the aspiration of Chinese nation to pursue ideological freedom and desire of strengthening international exchanges and cooperation. This paper takes the Belt and Road Initiative for example,emphasizing the interpretation of the inheritance and development of Chinese culture so as to study the importance of Culture Self-Consciousness in Chinese Philosophy,in the context of English globalization. That is to say,this paper stresses the spirits and the stand of nation 's demonstration on pursuing peace,cooperation and sustainable development in the civilization continuity from traditional China to the contemporary China,with practical philosophic view.

On Self-growing Modeling for Curves

This paper presents a novel curve modeling method based on controlling rules of the shaping technique. The method describes the curve based on steplength and turning angle, and the characteristics of the curve near a point. Then it introduces the process to extract ＂growing-rules＂for 2D and 3D curves described by familiar analytical expressions and curvature-torsion expressions. Examples of self-growing modeling for familiar analytical curves are presented. New curves are obtained by designing the grow-rules; corresponding examples are also presented.

社会体育活动中其他参加者的过错认定--以体育规则为分析视角

对于《民法典》第1176条其他参加者故意或者重大过失的认定问题,原则上,体育规则违反与否可以作为认定侵权人主观上具有包含故意以及重大过失的严重过错的一种方法。但并非所有违反体育规则致人损害的行为均可认定为严重过错。判断社会体育侵权过错问题,应当将体育项目类型化,将系争纠纷具体至不同类型体育项目下讨论体育侵权过错问题。对于非对抗性运动,其他参加者违反体育规则致人损害的即认定其为严重过错;对于对抗性运动中隔网对抗运动,违反体育规则造成损害后果的行为亦认定为严重过错;对于对抗性运动中同场竞技运动,应在一般犯规同时该犯规超出了体育运动固有风险以及严重犯规时构成严重过错;对于对抗性运动中格斗对抗类运动,其他参加人违反体育规则造成损害后果的,只能认定为严重过错的必要非充分条件,还应当考量被侵害人的行为。

Mixed Self-adapting GA Optimal Scheduling Algorithm for a Multiple Resource Job-shop

With an aim at the job-shop scheduling problem of multiple resource constraints, this paper presents mixed self-adapting Genetic Algorithm （ GA ） , and establishes a job-shop optimal scheduling model of multiple resource constraints based on the effect of priority scheduling rules in the heuristic algorithm upon the scheduling target. New coding regulations or rules are designed. The sinusoidal function is adopted as the self-adapting factor, thus making cross probability and variable probability automatically change with group adaptability in such a way as to overcome the shortcoming in the heuristic algorithm and common GA, so that the operation efficiency is improved. The results from real example simulation and comparison with other algorithms indicate that the mixed self-adapting GA algorithm can well solve the job-shop optimal scheduling problem under the constraints of various kinds of production resources such as machine-tools and cutting tools.

BOD_5-DO参数反问题偶合模型的研究

根据反问题理论和离散反演算法建立了 BOD5- DO参数反问题偶合模型 ,并推导出偶合模型的参数解式。对复氧系数、耗氧系数、沉淀 -再悬浮系数、光合作用产氧 -生物呼吸耗氧系数和自净系数随空间变化规律进行了定量计算 ,为河流水体自净规律的研究开辟了新途径。

融合自组织映射与Wang-Mendel方法的模糊规则提取

为解决经典Wang-Mendel方法提取模糊规则时得到的规则数目较多的问题,该文提出一个融合自组织映射(SOM)网络和Wang-Mendel方法的规则提取方案。利用SOM对原始样本进行学习,再使用Wang-Mendel方法从SOM的原型向量中提取规则。因为SOM的原型向量学习得到了原始样本的模式分布规律,并且原型向量的数量远小于原始学习样本的数量,所以该方法降低了提取的规则数目及耗费时间。有关混沌时间序列预测的实验结果表明了该文方法的有效性。

CBC-DS:基于频繁闭模式的数据流分类算法

基于关联规则的分类算法通常根据频繁模式生成类关联规则,但频繁模式挖掘易遭受组合爆炸问题,影响算法效率.并且数据流的出现也对分类算法提出了新的挑战.相对于频繁模式,频繁闭模式的数目较少,挖掘频繁闭模式的算法通常具有较高的效率.为此,提出了一种高效的基于频繁闭模式的数据流分类算法—CBC-DS.主要贡献在于:1)提出了一种基于逆文法顺序FP-Tree的频繁闭项集单遍挖掘过程,用于挖掘类关联规则,该过程采用了一种混合项顺序搜索策略以满足数据流挖掘的单遍性需求,并采用位图技术提高效率;2)提出了"自支持度"概念,用于筛选规则以提高算法分类精度.实验表明,位图技术能够提高算法速度2倍以上,利用自支持度能够提高算法平均精度0.5%左右;最终CBC-DS算法的平均分类精度比经典算法CMAR高1%左右,并且CBC-DS算法的规则挖掘速度远快于CMAR算法.

基于FPG-SOM的粮食供应链危害物风险分级评价

为科学合理评价危害物在粮食供应链各环节中的综合风险,本研究在分析全国各省粮食供应链抽检数据及其他维度数据的基础上,结合粮食供应链中风险因素,构建多维层次风险指标体系,将大量多维异构数据转化为半定量风险指标。应用关联规则挖掘一级指标和二级指标的内在关联确定权重分配,结合自组织映射算法将各指标变量映射到风险等级,明确指标交叉关联,构建粮食供应链危害物综合风险等级评价方法。通过对粮食产品风险等级进行评价,得出风险较高的重点省份为山东省、河南省,典型区域为城市区域,关键环节为流通环节以及以铝残留为代表的一系列高风险危害物。该评价体系的确立可以为监管机构制定有针对性的抽检策略、确立优先监管领域,并为合理分配风险监管资源提供科学依据。

自适应软件过程的“服务-角色-规则”形式化模型设计

对自适应软件过程深入研究,在Agent搭建其模型基础上,引入过程资源和过程角色的概念,完成定义与原理论述。并对过程资源和过程角色的自适应调配过程实现,制定出相关的映射规则关系网,实现自适应角色、服务、规则的三位一体化控制,完成自适应的刚柔相济网络体系。

“三治一体”中的道德治理--作为道德协商主体的乡贤参事会

近年,乡贤参事会在乡村"三治一体"治理结构中的地位与作用问题在学界引起争论,其中不乏质疑之声。本文运用道德治理、协商民主与理想观察者理论,以浙江省德清县的乡贤参事会为例,分析其在"三治一体"结构中处于何种地位。研究发现,民间自主产生的乡贤参事会具有"理想观察者"的中立与公正特征,因此可以发挥协商民主的道德谈商与调控功能;其运行机制依赖于道德主体的自主调控,在"三治一体"治理结构中具有核心地位;因此,乡贤参事会作为道德协商主体,对化解基层社会治理失灵不仅必要,而且也是协商民主在基层治理中的创新实践。

一种基于同伦BP网络记忆模糊规则的参数自调整ANN-PI控制及应用

BP神经网络可有效地记忆模糊控制规则,并以“联想记忆”方式使用这些经验.然而,现有前向网络学习算法不可避免地存在局部极小问题,同伦连续BP算法可有效地解决BP网络的全局收敛性问题,同时使网络具有很快的收敛速度.为了进一步提高控制系统的精度和抗干扰能力,本文设计了一种参数自调整ANN一PI控制器.实验结果表明,这种控制器动态响应快,控制精度高,抗干扰能力强,对参数变化不敏感,具有一定的鲁棒性.

智能自适应模糊-PID复合控制技术在数控机床中的应用研究

以典型的数控机床闭环进给控制系统为研究对象,设计了基于模糊规则切换的智能自适应模糊-PID复合控制器,同时利用Matlab仿真软件,对该控制器在实际工作过程中的各种工况进行仿真分析,实验结果证明,该控制器能够适应数控进给控制系统在不同工作状态下的动态性能要求。

著作权法“通知-必要措施”义务的比较经验与本土特色

在《民法典》侵权责任编对"通知-必要措施"义务加以完善后,如何在规则解释上回应互联网产业主导版权产业的本土产业格局,成为现阶段避风港规则在法教义学上的关键任务。鉴于我国互联网产业希望自行发展版权产业的预期,美国实践中形成的私人创制的内容过滤机制,以及欧盟在立法中体现的"尽最大努力"获得授权和阻止重复侵权的要求,皆难以在我国现有产业环境下实现,因此需要从解释论上保障必要措施的及时性,以此要求互联网平台采用更有效率的自治规范来实现必要措施,同时在解释上恪守转通知和必要措施分立的程序,以同时保障权利人和被通知人的合法利益。

自组织同行评议机制中4个论文-评议者匹配规则设计

[目的/意义]预印本数据库极大地减少了论文发表经济成本和滞后时间,但由于不具备同行评议机制,预印本论文尚未得到学术界主流承认。自组织同行评议机制赋予预印本数据库学术评价功能,论文与评议者匹配规则是该机制的核心环节。[方法/过程]提出了4个论文与评议者匹配规则,在一系列比较合理的前提下,对规则的评议性能表现进行了仿真。[结果/结论]结果表明,第4个匹配规则评议性能良好,可用于预印本数据库自组织同行评议。

明清时期乡村的社会治安和社会秩序整治--以日用类书为中心

明清时期(明中叶以后)是中国历史发展的新阶段,新旧社会因素交替交织在一起,学术界过去称之为中国资本主义萌芽时期,今有人称之中国市场经济萌芽期,也有学者称之为早期工业化或现代化因子萌发期,简言之是一个转型社会。保存在日用类书中的乡规民约是研究明清时期社会形态的珍贵资料,必须将它梳理、考释、有选择的引用。

基于同伦BP网络的参数自调整ANN-PI控制器

BP神经网络可有效地记忆模糊控制规则,并以"联想记忆"方式使用这些经验。然而,现有前向网络学习算法不可避免地存在局部极小问题,同伦连续BP算法可有效地解决BP网络的全局收敛性问题,同时使网络具有很快的收敛速度。为了进一步提高控制系统的精度和抗干扰能力,设计了一种参数自调整ANN-PI控制器。实验结果表明,这种控制器动态响应快,控制精度高,抗干扰能力强,对参数变化不敏感,具有一定的鲁棒性。