Robot’s Emotion Decision by Energy and Entropy Concepts

This study is to introduce concepts of energy and entropy to describe a robot＇s emoton decisien. It chooses the dimensional approach based on factors of pleasure and arousal for the merit of the interpolation between enotions. Especially, Circumplex model which has also two axes： pleasure and arousal is used. Besides, the model indicates how emotions are distributed in the two-dimensional plane. Then by the definition of psychodynamicsthe energy states （mental energy and physical energy） are matched to pleasure and arousal respectively that are the basis of Circumplex model. The mental energy is updated by the result of Prospect theory which measures the value of gain and loss as pleasure factor. And the physical energy is updated by the result of hedonic scaling which measures levels of arousal from pleasure computed by Prospect theory, and the result of intensity of stimuli. Then the energy states are fed by entropy. The feedback loop by entropy satisfies the 2nd law of thermodynamics. The energy states generated by stimuli and fed by entropy take a position in the plane of Circumplex model. Then distances between the current position and other emotions are cornputed to get a level of each emotion, proportional to the inverse of the distance.

基于曲线决策融合的SDN饱和攻击检测方法

针对软件定义网络(SDN)交换机和控制器的饱和攻击是SDN中的主要安全问题。在使用集成学习方法检测饱和攻击时,现有方法通常使用距离或熵值等简单的信息计算方法修正证据,可能存在信息丢失问题,降低饱和攻击检测精度。为解决上述问题,提出一种基于曲线决策融合的饱和攻击检测方法(SACOIN)。SACOIN首先计算多分类器概率矩阵的混乱程度修正多分类器内证据;随后将多分类器概率矩阵转换为曲线并去除噪声,提取重构小波的信号特征组成特征矩阵;然后计算特征矩阵行内互信息,基于上述互信息修正多分类器间证据;最后使用D-S证据理论融合修正证据,得到最终检测结果。实验结果表明,SACOIN在检测针对SDN交换机和控制器的饱和攻击时的准确率、精确率、召回率、F1值分别为92.3%、93%、92.1%、91.3%。

Research on Energy Decision System based on Network Technology

This paper analyzes the C/S structure and B/S structure of their own characteristics, building energy decision support system based on network technology, elaborated Web GIS and database connections and other technical principles and applications. Mixed B/S structure mode development to achieve information management, energy consumption is forecast to show the query using the amomat of energy, energy supply and demand dynamic equilibrimn analysis and other functions, with simple, efficient, easy to operate and so on, and has good scalability and maintainability.

Performance Improvement of the DSRC System Using a Novel S and Π-Decision Demapper

Based on the constellation diagram of the different modulations, a novel S and Π-decision rule is designed for the analog demapper of the orthogonal frequency-division multiplexing (OFDM) systems. The dedicated short-range communications (DSRC) system is chosen as an OFDM platform to compare the performance among the proposed S and Π-decision decoder, hard-decision and soft-decision decoders. Simulation results demonstrate that both the complexity and performance of S and Π-decision demapper used for M-ary quad-rature amplitude modulation (QAM) OFDM system can be greatly improved. The number of decisions be-tween the received symbol and constellation points can be simplified to look up table times for M-ary QAM OFDM system.

Study of Product Quality Information and Construction of Its Decision-Making Support System and Measures to Improve People's Quality Concept

The 21th century is a "quality century". Facing the s evere challenge about quality, all the developed industry countries attach impor tance to the research and education about quality project. With the deepening of the reform of China and it’s joining to WTO, many industries and enterprises wi ll be confronted with severe challenge while being offered the opportunity to wa lk up to the world. The arrival of knowledge economy and web time has provided t he space for the innovation on enterprise management. It has also provided new m ethod and model for enterprise management, that is online management based on th e internet. The online management use an enterprise model including the goal of the enterprise and the scheme to carry out it to represent the whole operational of all the work. The online management is constructed on the integration of exp ert system, database, software and other technical models. How to scientifically manage the entire system of product, precisely master the condition of quantity and quality and analyze the rules of the change of produc t quality in order to carry out the overall control of quality, guarantee the go od condition of product as well as improve product quality and prolong it’s se rvice life was discussed in this thesis. Based on the above research the thesis also discussed how to develop the study on product quality information and const ruct it’s decision making support system. The concrete measures to improve peopl e’s concept of quality are also raised. Based on the type analysis, scientific management of product quality information should start from dynamic information of quality, instruction information as we ll as the information about the use, maintain, management and conservation of pr oduct, and induce them and further propose a design scheme of feedback system on product quality information, and then set up the blueprint of the information s ystem of product quality. This thesis included 7 chapters:1.the type of quality information;2.the content of quality information;3.the construction of the se nsitive web for transfering information, and collecting and transfering quality information rapidly and effectively;4.the way and procedure to transfer informa tion;5.the construction of quality information library for all phases; 6.the d isposal of quality information;7.the decision making support system of the mana gement of quality information;8.attach importance to three key factors on impro ving quality concept.

The Development of the Generation Expansion Planning System Using Multi-Criteria Decision Making Rule

The power expansion planning is large and capital intensive capacity planning. In the past, the expansion planning was established with the proper supply reliability in order to minimize social cost. However, such planning cannot be used in the power markets with many market participants. This paper proposed the power expansion planning process in the power markets. This system is composed of Regulator and Generation Company （GENCO）＇s model. Multi-criteria decision making rule is used for regulator model and several scenarios for GENCO model are applied.

Religious Figures on Dalai's Decision

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OPENING UP NEW HORIZONS IN OUR R&D WORK BY IMPLEMENTING THE PARTY'S DECISION TO SPEED UP CHINA'S S&T PROGRESS

The 1990s is a key historical decade in the process of China’s on-going modernization drive.When reviewing the overall picture of the socio-economic trend and S&T development around the world during the last two decades,we may reach the conclusion that a new technological revolution is taking shape.For both the developed and the developing countries,challenges and opportunities are close at hand.In the Decision to Speed up China’s S&T Progress Jointly Issued by the CPC Central Committee and the State Council.a developmen-

2022年门源M_(S)6.9地震跟踪分析及决策过程回溯——一次有意义的短临预测预报尝试

1研究背景2022年1月8日门源M_(S)6.9地震的跟踪及预报过程,是一次长、中、短、临结合的较为成功的地震预测预报探索,也是在地震系统多年来面临重大压力下的一次成功尝试,具有重要的现实意义、社会意义和科学探索意义。主要因素如下:①门源6.9级地震发生在青海省及全国年度会商会确定的危险区内,表明了从中长期背景。下的正确研判;②在震前即2021年9月以来异常持续增多的背景。下发生的,这些异常的变化引起了青海地震台高度关注,经过持续跟踪分析并及时向青海省地震局分管领导和主管领导汇报,引起了局党组的高度重视,并多次参加会商会共同研判震情;③根据会商结论,青海省地震局撰写专题纪要及时向中国地震局及青海省政府进行汇报和报送,引起了中国地震局和青海省委省政府的高度关注,实施了一系列措施和工作推动;④相关预测预报、风险评估、震情通报等工作的及时推动,同时本次地震未造成人员的伤亡,受到了各层级领导的表扬和肯定,为地震系统争得了较好的正面影响和荣誉,尤其是得到了青海省人民政府与中国地震局的联合发文表扬。

ESG信息披露能够促进实体企业未来主业发展吗?--基于供应商、客户集中度的探析

ESG信息披露如何基于供应商、客户集中度来为实体企业主业发展提供竞争优势的内在机理尚缺乏研究,鉴于此,以2011—2021年中国资本市场A股实体上市企业的年度数据为研究样本,检验ESG信息披露对企业未来主业业绩的影响,以及供应商和客户关系在其间的中介效应。研究结果表明:(1)ESG信息披露显著提高了未来主业业绩;(2)ESG信息披露通过降低供应商集中度和客户集中度来促进未来主业发展;(3)从企业、行业和国家层面进一步分析,ESG信息披露对未来主业发展的促进作用在企业成熟期、非污染行业以及新《环保法》出台后更为显著。研究结论对于完善ESG信息披露机制和推动实体经济健康发展具有启示作用。

Decisive Stage of All-round Construction of Well-off Society Is a New Opportunity for China's Human Rights Cause

The p eriod of"The 13th Five-Year Plan"for national socioeconomic development(2016-2020)is a decisive stage of completion of all-round construction of a moderately prosperous society in China,and the year of 2016 is the first annum of this decisive stage.The Central Committee of the Communist Party of China(CPC)headed by General Secretary Xi Jinping has,with a new stance and new ideas,set strategic tasks

基于D-S证据理论的电商服装新品需求预测与订货决策研究

现有服装电商企业对新品需求预测不准确,会导致大量商品滞销或缺货,造成企业亏损。服装新品预测困难的主要原因在于其无历史数据可参考。由于证据理论具有处理多源不确定信息的能力,文中采用该理论建立需求预测模型。首先,构建证据理论模型,运用D-S证据合成法则将多位专家的预测进行融合,并将预测需求量信度函数转换为概率分布;其次,通过报童模型得出最优订货量;最后,以某电商企业新品上新为例进行了算例分析。该方法可提升服装类新品需求初次预测的精准度,辅助电商企业新品订货决策。

基于高度冲突专家意见融合的水利工程应急决策

为解决D-S(dempster-shafer)证据理论无法有效集结高冲突专家意见对水利工程应急决策结果的影响,提出了基于Lance距离和信息熵改进D-S证据理论的水利工程应急决策中的专家意见融合方法。首先,利用改进的直觉模糊熵计算属性权重,充分考虑了决策信息的模糊性,得到各专家对方案的Mass函数;然后,使用Lance距离衡量任意两个专家之间的冲突和差异性得到评价证据的可信度,使用信息熵描述专家决策时的随机性问题得到评价证据的不确定度,并将二者折扣处理后得到专家综合权重,保证修正权重的准确合理;最后使用D-S证据组合规则计算修正后各专家对方案的Mass函数,得到最终决策结果。通过实例分析及方法对比验证了模型的有效性,结果表明,提出的方法可以有效集结高度冲突专家意见,与其他方法相比融合结果精度更高,考虑问题更为科学有效,可为水利工程应急决策提供依据。

决策征求意见的知识生产价值研究——对“形式大于意义”论误区的探讨

随着决策程序越来越规范化,征求意见已成为新时代决策过程践行全过程人民民主的重要载体,但对其价值认知却容易陷入“形式大于意义”的误区。以党的十八大以来历次中央全会政策文件的制定为例,基于知识生产主体—过程的二维框架分析决策征求意见价值的作用路径可以发现:在主体性维度,决策征求意见通过对象的多元化构建了一个涵盖整体性知识与地方性知识、经验性知识与专业性知识、权威性知识与民主性知识的行动者网络;在过程性维度,决策征求意见通过方式的多样化形成了归纳总结、调查研究、对话协商以及集体决策等知识生产类型。经过征求意见,使得政策文件制定的整个过程均能充分吸收各种知识,成为提高政策文件质量的重要机制。以知识生产视角审视决策征求意见的价值作用,有助于回应长期存在的“形式大于意义”价值认知,深入探索知识生产的民主路径,从而提高决策的质量和效果。

基于神经网络的南方夏季蛋鸡舍环境与产蛋性能关系模型研究

为了解决南方地区夏季高温高湿蛋鸡舍环境质量难以精准评价与调控的问题,试验构建了基于神经网络的南方夏季蛋鸡舍环境与产蛋性能关系模型,将采集的蛋鸡舍多环境因子数据作为输入,将依据产蛋率划分的环境质量等级作为输出,对反向传播(BP)神经网络、径向基(RBF)神经网络和广义回归(GRNN)神经网络三种神经网络进行训练验证,得到蛋鸡舍环境质量初步评价结果,然后将归一化后神经网络组的输出作为改进D-S证据理论基本概率分配的输入,利用改进的D-S证据理论方法,融合计算得到蛋鸡舍环境质量的综合评价结果。结果表明:在神经网络初级融合评价有冲突的情况下,改进的D-S证据理论法对蛋鸡舍环境状态为差的支持率为0.796 4,而传统D-S证据理论方法、Murphy方法和邓勇方法对蛋鸡舍环境状态为差的支持率分别为0.698 7,0.687 8,0.694 0。说明试验构建的综合评价模型对蛋鸡舍环境的融合评价精度和准确率更高,可以有效解决融合决策失误问题,可用于南方夏季高温高湿蛋鸡舍环境的精准调控。

隧道环境内无人驾驶车辆目标决策两级信息融合感知策略

基于隧道内的特殊行驶环境和无人驾驶感知需求,选择合适的传感器及硬件搭建试验车辆,构建了毫米波雷达与摄像头多传感器融合的感知系统;基于YOLOv4目标级信息融合算法和改进D-S证据理论决策级信息融合算法,提出了一种“目标决策”两级信息融合策略;最后,在城市道路隧道环境内开展了感知信息两级融合验证试验,试验结果表明:相比单一的摄像头或毫米波雷达感知效果,基于摄像头与毫米波雷达传感器感知ROI区域关联实现的目标级融合结果可以提高9.51%的识别准确率,弥补了单一传感器在隧道环境内感知技术的不足;基于目标级融合感知结果,利用改进后的D-S证据理论算法再进行决策级融合,相比于单一的目标级融合结果,误检率降低了3.61%,显著提高了检测精度。采取多传感器感知信息目标决策两级融合策略能够满足隧道特殊环境内无人驾驶车辆可靠感知需求,为推动无人驾驶技术落地应用提供了理论与技术支撑。

基于D-S证据理论的决策级多特征融合苹果分级方法

针对单特征苹果分级的不确定性和低正确率,通过图像处理提取大小、形状、颜色和缺陷4类能反映苹果外观品质的主要特征,引入信息融合的思想,以单特征初步分级的结果作为证据,用D-S证据理论的方法进行决策级融合处理,实现苹果的多特征综合分级,进一步提高可靠性和分级正确率。80个测试样本的分级试验表明,苹果分级正确率达92.5%,与单特征分级相比,此方法正确识别率高、稳定性好、效果显著。

基于S型曲线的指标非线性标准化研究

目前,数据标准化处理通常采用的是线性变换方法,然而在处理非均匀分布的指标数据集合时,尤其是对局部集中分布数据的处理存在一定局限性,例如无法有效地将数据划分层级,缺乏辨识性等。利用Logistic曲线函数的特性构建S型曲线模型,可对指标数据进行非线性标准化处理。该方法能够在不改变数据序列及整体分布的前提下对各数据点的取值进行非线性放缩,在将数据稠密的区间进行扩大的同时将数据稀疏的区间进行压缩;同时,针对包含正负值的指标数据集合可以有效地将负值数据突显出来,并且是对特定领域指标数据非线性标准化的补充。

基于SVM和D-S证据理论的多特征融合杂草识别方法

针对单一特征识别杂草的低准确率和低稳定性,提出一种支持向量机(SVM)和D-S证据理论相结合的多特征融合杂草识别方法。在对田间植物图像处理的基础上,提取植物叶片的颜色、形状和纹理等3类视觉特征,分别以3类单特征的SVM分类结果作为独立证据构造基本概率指派(BPA),运用D-S证据组合规则进行决策级融合,根据分类判决门限给出最终的识别结果。试验结果表明,多特征决策融合识别方法正确识别率达到97%以上。

多属性决策及D-S证据理论在底板突水决策中的应用

针对煤矿底板突水包含很多不确定因素和时空随机性的特点,探索多属性决策理论在底板突水预测中应用研究。采用案例统计与专家分析相结合的方法,赋予影响底板突水各种因素的权重,建立突水概率指数法的融合规则,提出突水概率指数法预测采场工作面底板突水的新方法。在获得底板突水概率指数的基础上,基于D-S证据理论,建立由突水、临界、不突水、不确定组成的识别框架,构建以富水性指数、构造指数、隔水层指数、水压指数、矿压指数为证据体的突水融合决策模型。通过在肥城煤田实例应用,说明经证据体的多次融合,能够提高突水概率的可信度,降低不确定性,证明基于多属性决策和D-S证据理论建立的工作面底板突水两级融合决策模型的有效性和可行性。