有序分位加权集结算子及理想激励点的模拟求解

面向管理决策中的激励问题,提出了一种新的集结方法,有序分位加权集结算子.该算子通过分布分位数的方式衡量被评价对象的相对发展程度,以分段激励的方式在集结过程中融入决策者的激励偏好,从而使得被评价对象对决策者的激励偏好有着更清晰的认识.在对算子及相关参数进行介绍的基础上,分析了激励点的确定原则,并采用随机模拟方法求解理想激励点.以应用算例的形式验证了该求解方法的有效性,并得出采用正向双点激励方式不仅能够实现对被评价对象的奖惩并重,且能够通过奖惩凸显被评价对象之间差异的结论.

基于权重量化与信息压缩的车载图像超分辨率重建

针对智能驾驶领域中需要在内存受限的情况下得到高质量的超分辨率图像的问题,提出一种基于权重八位二进制量化的车载图像超分辨率重建算法。首先,基于八位二进制量化卷积设计信息压缩模块,减少内部冗余,增强网络内信息流动,提高重建速率;然后,整个网络由一个特征提取模块、多个堆叠的信息压缩模块和一个图像重建模块构成,并利用插值后超分辨率空间的信息与低分辨率空间重建后的图像融合,在不增加模型复杂度的基础上,提高网络表达能力;最后,算法中整个网络结构基于对抗生成网络(GAN)框架进行训练,使得到的图片有更好主观视觉效果。实验结果表明,所提算法的车载图像重建结果的峰值信噪比(PSNR)比基于GAN的超分辨率重建(SRGAN)算法提高了0.22 dB,同时其生成模型大小缩小为LapSRN的39%,重建速度提高为LapSRN的7.57倍。

数据统计查询自适应加权算法

为解决汉明距离检索大量数据点共享相同汉明距离,检索结果排序模糊的问题,提出一种利用数据原始特征的加权距离检索算法。在数据集特征二值化前获得统计信息,使用查询向量的哈希特征替换二值编码计算权重值。利用数据集统计信息、查询向量和数据库二值编码计算权重值,避免由二值化引起的原始数据信息的大量丢失,更好保留了查询图像之间的差异。在两个数据集上进行实验对比,对比结果表明,该算法排序更精确,性能更优越。

有序分位加权集结算子及在激励评价中的应用

为在信息集结过程中体现指标值的相对发展水平,提出了一种新的集结方法,即有序分位加权集结算子.该算子尤其适用于激励评价问题,其主要特征是用分位数表示指标值的相对发展水平,并且在信息集结过程中融入了决策者不同程度的激励偏好.通过性质分析,发现该算子具有置换不变性、界值性和条件单调性等特征.进一步,以算例的方式分析了该算子在激励评价中的应用问题,发现该算子在信息集结中通过权重加和不等于1的方式能够放大或缩小集结值,从而凸显被评价对象之间的差异,实现激励的目的.

基于差异性汉明距离的变分推荐算法

目前基于哈希技术的推荐算法常用汉明距离表示用户和项目哈希码的相似性,但忽略了哈希码中每位的潜在区别信息,为此提出了一个差异性汉明距离,通过考虑哈希码之间的差异性为哈希码赋予位权重;为差异性汉明距离设计了一个变分推荐模型,该模型分为用户哈希组件和项目哈希组件两部分,以变分自编码器结构连接。首先,模型利用编码器为用户和项目生成哈希码,为提高哈希码的鲁棒性,在哈希码中加入高斯噪声。其次,通过差异性汉明距离优化用户和项目哈希码,以最大限度地提高模型重构用户-项目评分的能力。在两个公开的数据集上的实验结果表明,在计算开销不变的前提下与最先进的哈希推荐算法相比,所提模型在NDCG上提高了3.9%,在MRR上提高了4.7%。

基于灰色关联的2014年青奥会第三方物流服务商模糊综合评价

主要研究了第三方物流服务公司评价过程,评价方法是基于灰色关联的模糊综合评价,通过对理论的研究和指导,分别对2014年青奥会提供服务的三家公司进行综合评价。其综合评价结果与实际情况吻合程度很高,这就说明用该方法对第三方物流服务商进行评价,方法科学、可靠。为选择第三方物流服务商提供依据。

中国传统监察制度的特点与价值

中国古代监察制度源远流长,具有:监察官位卑权重;奉行监察权法定原则;监察官犯罪加重处罚;互监互纠;监察回避;垂直领导;监察区与行政区适度分离;注重对监察官员的任用考核;"代天子巡狩",即代表皇帝巡察地方、监督官员,等等特点。中国传统监察制度中的部分内容即使在今天仍有积极的启示作用,它不仅对我们完善监察制度有借鉴价值,而且对我们深化司法体制改革也有借鉴意义。今天,在我国腐败形势异常严峻、国家长治久安遭遇重大挑战的情况下,重温中国古代监察史,吸收其经验教训,成为摆在执政者面前的紧迫课题。

Robust range-parameterized cubature Kalman filter for bearings-only tracking

In order to improve tracking accuracy when initial estimate is inaccurate or outliers exist,a bearings-only tracking approach called the robust range-parameterized cubature Kalman filter(RRPCKF)was proposed.Firstly,the robust extremal rule based on the pollution distribution was introduced to the cubature Kalman filter(CKF)framework.The improved Turkey weight function was subsequently constructed to identify the outliers whose weights were reduced by establishing equivalent innovation covariance matrix in the CKF.Furthermore,the improved range-parameterize(RP)strategy which divides the filter into some weighted robust CKFs each with a different initial estimate was utilized to solve the fuzzy initial estimation problem efficiently.Simulations show that the result of the RRPCKF is more accurate and more robust whether outliers exist or not,whereas that of the conventional algorithms becomes distorted seriously when outliers appear.

Model predictive flux control of permanent magnet synchronous motor driven by three-level inverter based on fine-division strategy

Aiming at the difficulty of setting the weight coefficient in the value function of model predictive torque control(MPTC)for permanent magnet synchronous motor(PMSM)driven by three-level inverter,a fine-division model predictive flux control(MPFC)method is proposed.First,establish a mathematical model between the motor torque and the stator flux linkage according to the mathematical equations of PMSM.Thus,the control of the motor torque and stator flux linkage in the MPTC is transformed into the control of a single stator flux linkage vector,omitting the cumbersome weight setting process in the traditional MPTC.The midpoint potential control strategy is proposed,which uses the characteristics of redundant small vectors to balance the midpoint potential.After that,a fine-division strategy is proposed,which effectively reduces the number of candidate vectors and the computational burden of the system.Finally,the proposed MPFC is compared with MPTC by simulation.The results show that the proposed fine-division MPFC effectively reduces the system calculation,and has the advantages of simple principle and better dynamic and steady-state control performance.The feasibility of the control strategy is verified.

Crack status analysis for concrete dams based on measured entropy

The integrity and safety of concrete darns are seriously affected by the existing cracks in dam bodies, and some serious cracks may cause dam failure or disaster. The propagation of cracks in concrete dams is accompanied by changes in energy distribution, which can be represented by changes in the structure＇s system entropy. Therefore, the entropy theory can be used in analyzing the behavior of dam cracks. Due to the randomness and locality of crack propagation, it is difficult to predict the loca- tion of cracks by traditional monitoring methods. To solve this problem, the influence of spatial positions of monitoring points on inspection zones is represented by a weight index, and the weight index is determined by the distance measure method proposed in this paper. Through the weighted linear fusion method, the entropy of multiple monitoring points is obtained for analyzing the behavior of dam cracks in the selected zones. Meanwhile, the catastrophe theory is used as the variation criterion of an entropy sequence in order to predict the instability time of dam cracks. Case studies are put forward on a high arch darn, and the fusion entropy is calculated according to the monitoring data from strain gauges. Results show that the proposed method can effectively predict the occurrence time and location of dam cracks regardless of the layout of monitoring instruments, and it is a new way to analyze the occurrence and propagation of dam cracks.

A precise and accurate acupoint location obtained on the face using consistency matrix pointwise fusion method

OBJECTIVE: To develop a more precise and accurate method, and identified a procedure to measure whether an acupoint had been correctly located.METHODS: On the face, we used an acupoint location from different acupuncture experts and obtained the most precise and accurate values of acupoint location based on the consistency information fusion algorithm, through a virtual simulation of the facial orientation coordinate system.RESULTS: Because of inconsistencies in each acupuncture expert's original data, the system error could not be modified using the characteristics ofthe general weight calculation. First, we corrected each expert of acupoint location system error itself,to obtain a rational quantification for each expert of acupuncture and moxibustion acupoint location consistent support degree, to obtain pointwise variable precision fusion results, to put every expert's acupuncture acupoint location fusion error enhanced to pointwise variable precision. Then, we more effectively used the measured characteristics of different acupuncture expert's acupoint location, to improve the measurement information utilization efficiency and acupuncture acupoint location precision and accuracy.CONCLUSION: Based on using the consistency matrix pointwise fusion method on the acupuncture experts' acupoint location values, each expert's acupoint location information could be calculated, and the most precise and accurate values of each expert's acupoint location could be obtained.