The Media Logic and Cultural Impact of WeChat

Through its media logic, which is defined by programmability, pervasiveness, connectivity, and datafication, WeChat establishes a non-linear, interactive, and user-dominated media environment. This media logic enhances the influence of each user within WeChat’s narrative landscape and revolutionises traditional media narration methods by enabling them to generate and distribute content. In such an environment, users are able to edit, receive, and send information without constraints of time or distance, which enables delayed interactions that broaden the potential for human communication and dissemination. Additionally, WeChat partially replaces social behaviours and institutions, thereby modifying their original structures and characteristics. As individuals become more accustomed to this media environment, they progressively adjust to the forms that are appropriate for media representation on WeChat, thereby completing the mediatization of culture and society. In this process, individuals are becoming more dependent on media and media logic, with WeChat’s influence permeating social and cultural activities through its media logic. This interaction has a substantial impact on society and culture, thereby aiding in their reconstruction.

Fuzzy Logic Deadzone Compensation with Feedback Linearization of Nonlinear Systems

A fuzzy logic compensator is designed for feedback linearizable nonlinear systems with deadzone nonlinearity. The classification property of fuzzy logic systems makes them a natural candidate for the rejection of errors induced by the deadzone, which has regions in which it behaves differently. A tuning algorithm is given for the fuzzy logic parameters, so that the deadzone compensation scheme becomes adaptive, guaranteeing small tracking errors and bounded parameter estimates. Formal nonlinear stability proofs are given to show that the tracking error is small. The fuzzy logic deadzone compensator is simulated on a one-link robot system to show its efficacy.

Translating Linear Temporal Logic Formula s into Automata

To combat the well-known state-space explosion problem in Propositional Linear Temporal Logic (PLTL) model checking, a novel algorithm capable of translating PLTL formulas into Nondeterministic Automata (NA) in an efficient way is proposed. The algorithm firstly transforms PLTL formulas into their non-free forms, then it further translates the non-free formulas into their Normal Forms (NFs), next constructs Normal Form Graphs (NFGs) for NF formulas, and it finally transforms NFGs into the NA which accepts both finite words and infinite words. The experimental data show that the new algorithm reduces the average number of nodes of target NA for a benchmark formula set and selected formulas in the literature, respectively. These results indicate that the PLTL model checking technique employing the new algorithm generates a smaller state space in verification of concurrent systems.

Hierarchical Coordinated Control for Power System Voltage Using Linear Temporal Logic

The paper proposed an approach to study the power system voltage coordinated control using Linear Temporal Logic (LTL). First, the hybrid Automata model for power system voltage control was given, and a hierarchical coordinated voltage control framework was described in detail. In the hierarchical control structure, the high layer is the coordinated layer for global voltage control, and the low layer is the power system controlled. Then, the paper introduced the LTL language, its specification formula and basic method for control. In the high layer, global voltage coordinated control specification was defined by LTL specification formula. In order to implement system voltage coordinated control, the LTL specification formula was transformed into hybrid Automata model by the proposed algorithms. The hybrid Automata in high layer could coordinate the different distributed voltage controller, and have constituted a closed loop global voltage control system satisfied the LTL specification formula. Finally, a simple example of power system voltage control include the OLTC controller, the switched capacitor controller and the under-voltage shedding load controller was given for simulating analysis and verification by the proposed approach for power system coordinated voltage control. The results of simulation showed that the proposed method in the paper is feasible.

Identification of Question and Non-Question Segments in Arabic Monologues Using Prosodic Features: Novel Type-2 Fuzzy Logic and Sensitivity-Based Linear Learning Approaches

In this paper, we extend our previous study of addressing the important problem of automatically identifying question and non-question segments in Arabic monologues using prosodic features. We propose here two novel classification approaches to this problem: one based on the use of the powerful type-2 fuzzy logic systems (type-2 FLS) and the other on the use of the discriminative sensitivity-based linear learning method (SBLLM). The use of prosodic features has been used in a plethora of practical applications, including speech-related applications, such as speaker and word recognition, emotion and accent identification, topic and sentence segmentation, and text-to-speech applications. In this paper, we continue to specifically focus on the Arabic language, as other languages have received a lot of attention in this regard. Moreover, we aim to improve the performance of our previously-used techniques, of which the support vector machine (SVM) method was the best performing, by applying the two above-mentioned powerful classification approaches. The recorded continuous speech is first segmented into sentences using both energy and time duration parameters. The prosodic features are then extracted from each sentence and fed into each of the two proposed classifiers so as to classify each sentence as a Question or a Non-Question sentence. Our extensive simulation work, based on a moderately-sized database, showed the two proposed classifiers outperform SVM in all of the experiments carried out, with the type-2 FLS classifier consistently exhibiting the best performance, because of its ability to handle all forms of uncertainties.

改进变值逻辑与线性预测在心音分类中的应用

心音对于评价心脏健康状况具有重要作用.文章介绍了一种新的基于变值逻辑与线性预测倒谱系数融合特征的先心病分类算法,有助于提取心音中的深度病理特征.算法首先对心音进行降噪、包络提取;然后进行变值逻辑运算、标记并转换为可分析的测度数据,并计算信号的线性预测倒谱系数进行特征融合;最后使用随机森林,XGBOOST和LIGHTGBM机器学习分类器进行先心病二分类.研究所用心音样本共4000例,测试结果对正常和异常心音分类的平均准确率为0.9138.算法无需对心音进行心动周期分割,大大简化了分析流程,可望用于先心病的筛查.

基于多目标线性规划的本体冲突消除方法

针对本体逻辑冲突消除传统方法未充分利用本体逻辑性质的缺陷,引入Shapley值法刻画本体逻辑性质,构建基于多目标0-1整数线性规划的本体冲突消除方法,使用分层序列法求解多目标线性规划模型。其解遵循理性放弃原则,避免传统方法中目标权重的平均性或随机性。实验结果表明,采用该方法能够令解集遵循理性放弃原则的前提下,利用本体逻辑性质有效减少解集数量,从而提高决策效率。

基于电网多源数据的电力知识图谱构建方法

电力知识图谱构建方法重复采集电网多源数据,针对构建得到的知识图谱置信度过小的问题,设计一种基于电网多源数据的电力知识图谱构建方法。通过设定实体电网多源数据采集架构,采用局部线性嵌入算法筛选重复采集的电网多源数据。将电力知识间的关系转变可识别特征数值,抽取多源数据中的电力知识划分图谱层级,构建电力知识图谱结构。结合电力知识采集环境完成实验,实验结果表明,文中设计的构建方法准确率为97%,召回率为0.78%,F值为93,满足电力知识图谱的构建需求。

自动泊车系统规划与控制方法研究

为了对泊车过程中的车辆进行跟踪控制,基于车辆动力学模型,研究设计了一种线性二次型控制器,使用B-spline曲线规划了一条曲率连续的泊车路径,针对控制器设计过程中权重系数选择困难,引入模糊逻辑算法对控制器进行优化处理,节省了人工成本,然而模糊逻辑算法的计算是实时的,且不同速度下车辆状态不同,因此将基于Frobenius范数的更新策略加入程序计算中以降低计算量,利用MATLAB/Carsim联合仿真验证了改进后控制系统的运算时间降为0.2 ms,实时性提升92%,适应度提升30%.

Hierarchical Controller Synthesis Under Linear Temporal Logic Specifications Using Dynamic Quantization

Linear temporal logic(LTL)is an intuitive and expressive language to specify complex control tasks,and how to design an efficient control strategy for LTL specification is still a challenge.In this paper,we implement the dynamic quantization technique to propose a novel hierarchical control strategy for nonlinear control systems under LTL specifications.Based on the regions of interest involved in the LTL formula,an accepting path is derived first to provide a high-level solution for the controller synthesis problem.Second,we develop a dynamic quantization based approach to verify the realization of the accepting path.The realization verification results in the necessity of the controller design and a sequence of quantization regions for the controller design.Third,the techniques of dynamic quantization and abstraction-based control are combined together to establish the local-to-global control strategy.Both abstraction construction and controller design are local and dynamic,thereby resulting in the potential reduction of the computational complexity.Since each quantization region can be considered locally and individually,the proposed hierarchical mechanism is more efficient and can solve much larger problems than many existing methods.Finally,the proposed control strategy is illustrated via two examples from the path planning and tracking problems of mobile robots.

Transient Stability Improvement of Power System Using Non-Linear Controllers

This paper presents the design of a non-linear controller to prevent an electric power system losing synchronism after a large sudden fault and to achieve good post fault voltage level. By Direct Feedback Linearization (DFL) technique robust non-linear excitation controller is designed which will achieve stability enhancement and voltage regulation of power system. By utilizing this technique, there is a possibility of selecting various control loops for a particular application problem. This method plays an important role in control system and power system engineering problem where all relevant variables cannot be directly measured. Simulated results carried out on a single machine infinite bus power system model which shows the enhancement of transient stability regardless of the fault and changes in network parameters.

Load Frequency Control of Small Hydropower Plants Using One-Input Fuzzy PI Controller with Linear and Non-Linear Plant Model

This study presents an intelligent approach for load frequency control (LFC) of small hydropower plants (SHPs). The approach which is based on fuzzy logic (FL), takes into account the non-linearity of SHPs—something which is not possible using traditional controllers. Most intelligent methods use two- input fuzzy controllers, but because such controllers are expensive, there is economic interest in the relatively cheaper single-input controllers. A non- linear control model based on one-input fuzzy logic PI (FLPI) controller was developed and applied to control the non-linear SHP. Using MATLAB/Si- mulink SimScape, the SHP was simulated with linear and non-linear plant models. The performance of the FLPI controller was investigated and compared with that of the conventional PI/PID controller. Results show that the settling time for the FLPI controller is about 8 times shorter;while the overshoot is about 15 times smaller compared to the conventional PI/PID controller. Therefore, the FLPI controller performs better than the conventional PI/PID controller not only in meeting the LFC control objective but also in ensuring increased dynamic stability of SHPs.

Spectral Characteristics of the Best Affine Approach of Multi-Output m-Valued Logical Functions

This paper discusses the best affine approach （BAA） of multi-output m-valued logical functions. First, it gives the spectra of rate of accordance between multi-output m-valued logical functions and their affine functions, then analyzes the BAA of multi-output m-valued logical functions and finally gives the spectral characteristics of BAA of multi-output m-valued logical functions.

SPECTRAL ANALYSIS OF SOME INDEPENDENCES OF MULTIPLE-VALUED LOGICAL FUNCTIONS ON THEIR VARIABLES

There are many kinds of special relationships between multiple-valued logical func-tions and their variables, and they are difficult to be judged from their expressions. In thispaper, some sufficient and necessary conditions of the independence and statistical independenceof multiple-valued logical functions on their variables are given. Some conditions of algebraicindependence of multiple-valued logical functions on some of their variables and the way to de-generate a function to the greatest extent are proposed, and some applications of these resultsare indicated. All the results are studied by using Chrestenson spectral techniques.

面向模型检测的LTL语句自动生成方法

为优化线性时态逻辑语句的生成过程,减少模型检测的时间,提出一种面向模型检测的基于自然语言处理生成线性时态逻辑验证语句的方法。对需求文档提取关键词,将文档中的数据和可以代表模型中状态的名词进行提取,注释UML模型,对UML模型中的状态进行归类,将模型中的状态分为数据属性类和调用操作类,利用配对的线性时态逻辑格式生成线性时态逻辑,用于软件模型一致性验证。实验结果表明,该方法与ST模型相比可以提高模型检测的效率。

基于机器学习算法的股价回归预测研究

互联网技术的发展,影响着传统行业工作模式和流程,许多行业希望借助互联网技术得到进一步的发展,量化交易在实务操作中越来越重要。该文基于abu量化系统,构建特定的交易环境,运用sklearn的线性回归模块进行仿真分析,得出较为理想的预测结果,根据得出的预测结果从一定程度上论证了量化交易的可行性,也证明了机器学习算法在实际投资操作中所具有的优势。

永磁同步电机高精度线性霍尔检测技术研究

永磁同步电机转子位置检测在高精度伺服驱动系统中具有至关重要的作用。针对传统伺服电机位置检测时依赖于成本较高、可靠性低的光栅、磁栅等编码器,提出采用两组线性霍尔检测转子磁钢的方式,利用可编程逻辑器件(CPLD)实现电机位置检测,包括拉依达准则算法滤波、算数平均滤波、数据补偿技术,提高电机位置检测精度及系统可靠性。经实验验证,相比常规的位置检测电机磁钢的方式,电机速度波动降低75%。

结合非线性效应和线性干涉效应设计的全光半加器

结合光子晶体非线性效应和线性干涉效应设计了一种全光半加器。将光源平均分成两部分,对半加器的与门和异或门分开设计。利用非线性效应实现高对比度的与门;利用线性干涉效应实现异或逻辑,从而使器件整体响应速度更快。在这种设计结构下,器件对信号光源功率只有阈值要求,当信号功率大于51.4 mW/μm^(2)时输出稳定,抗干扰能力强。所设计的半加器进位输出端口对比度为20.69 dB,输出端口对比度为20.13 dB。数据传输速率为0.75 Tbits/s,占用面积623μm2。

预优化的量子线路综合算法

为解决量子线路在映射过程中线路量子代价的优化问题,提出了一种预优化的量子线路综合算法。该算法在前瞻近邻化方法的基础上,预先使用简化规则对线路进行化简,减少前瞻时需处理的量子门数,之后使用N门前瞻算法对线路进行近邻化操作。该方法可以有效减少近邻过程中需插入的SWAP门数,降低线路的量子代价。选取Benchmark的较有代表性的例题进行实验,文中选择影响力较大的文献进行对比,结果表明,在16例Benchmark例题中,正优化为11例,最大优化率为50%,平均优化率为10.1%。