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2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)最新文献

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Parallel hybrid genetic algorithm for sat problems based on OpenMP 基于OpenMP的卫星问题并行混合遗传算法
Guanfeng Wu, Qingshan Chen, Feng Cao, Yang Xu, Xiaomei Zhong
SAT problem is the first proved NP-complete problems. Heuristic methods on solving the SAT problem although belongs to incomplete method, but it has its advantages. Genetic Algorithm (GA) as one of the heuristic algorithms, was applied to solve the SAT problem of many years, and also got some better results combine with other algorithms. However, there is still room for improvement. In this paper we combine GA with the Local Search Algorithm (LSA) and improve the sort algorithm. Using the Open MP to implement the Parallel Hybrid GA based on the Coarse-Grained Model (CGPHGA). This article describes the design and implementation of CGPHGA in detail, According to the experimental results, CGPHGA improves the success rate and efficiency.
SAT问题是第一个被证明np完全的问题。启发式方法求解SAT问题虽然属于不完全方法,但也有其优点。遗传算法作为一种启发式算法,多年来一直应用于求解SAT问题,并与其他算法相结合,取得了较好的结果。然而,仍有改进的余地。本文将遗传算法与局部搜索算法(LSA)相结合,对排序算法进行了改进。利用Open MP实现基于粗粒度模型的并行混合遗传算法(CGPHGA)。本文详细介绍了CGPHGA的设计与实现,实验结果表明,CGPHGA提高了成功率和效率。
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引用次数: 0
α-generalized resolution method based on linguistic truth-valued lattice-valued propositional logic system 基于语言真值格值命题逻辑系统的α-广义分解方法
Weitao Xu
This paper extend the α—resolution principle based on classical logic system. An α-generalized resolution method is presented in Linguistic Truth-Valued lattice-valued propositional logic system based on linguistic truth-valued lattice implication algebra. Both soundness and weak complete­ness theorems for α-generalized resolution method are estab­lished in Linguistic Truth-Valued lattice-valued propositional logic system. The proposed approach provides a foundation for α—generalized resolution method under linguistic truth-valued level in a set of general generalized clauses.
本文在经典逻辑系统的基础上扩展了α -分辨原理。提出了一种基于语言真值格值蕴涵代数的语言真值格值命题逻辑系统的α-广义分解方法。在语言真值格值命题逻辑系统中,建立了α-广义分解方法的完备性定理和弱完备性定理。该方法为一般广义子句集语言真值水平下的α -广义解析方法奠定了基础。
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引用次数: 0
A nonlinear programming based universal optimization model of TDOA passive location 基于非线性规划的TDOA无源定位通用优化模型
Fangli Ma, Yang Xu, Peng Xu
Time difference of arrival (TDOA) passive localization is a kind of signal source localization method. There are two types of solution methods, the drawing methods and the calculating methods. The calculating methods are divided into analytic-calculating methods and numerical-calculating methods. As a kind of analytic calculation method, the universal unconstrained nonlinear programming based optimization model of TDOA passive localization was proposed in this paper, its solving algorithms were also discussed. The numeric results shows that the Pattern Search Method has been proved to be able to solve the optimization problems of TDOA localization with only small part of non-convergent points and the Simple-Grid method was the general solution of TDOA optimization problems. Also the localization errors were independent of the order number of the objective function had been obtained.
到达时间差(TDOA)被动定位是一种信号源定位方法。求解方法有制图法和计算法两种。计算方法分为解析计算法和数值计算法。作为一种解析计算方法,本文提出了基于通用无约束非线性规划的TDOA无源定位优化模型,并对其求解算法进行了讨论。数值计算结果表明,模式搜索方法可以解决只有少量不收敛点的TDOA定位优化问题,简单网格方法是TDOA优化问题的通解。并且得到了定位误差与目标函数阶数无关的结果。
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引用次数: 3
Developing Android applications using agent-oriented programming 使用面向代理的编程开发Android应用程序
S. Russell, Owen Doyle, Rem W. Collier
Designing applications for current generation context aware mobile devices is a complex task. Programmers are required to have a deep knowledge of the underlying systems and APIs in order to complete an application. This paper presents a system that takes advantage of the high level of abstraction common to agent-oriented programming languages to reduce the difficulty in creating context-sensitive applications for Android devices.
为当前一代上下文感知移动设备设计应用程序是一项复杂的任务。为了完成一个应用程序,程序员需要对底层系统和api有深入的了解。本文提出了一个利用面向代理的编程语言常见的高级抽象的系统,以减少为Android设备创建上下文敏感应用程序的难度。
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引用次数: 4
A feedback control scheduling architecture for real-time ontology 面向实时本体的反馈控制调度体系结构
Wided Ben Abid, M. Mhiri, M. B. Salem, Emna Bouazizi, F. Gargouri
Many solutions were proposed to store and load a large amount of semantic data which are generated from ontologies. These solutions have introduced a new database architecture called Ontology Based DataBases (OBDBs) which presents several drawbacks : it does not take into account the management of non-standard data, it does not consider the modeling of time for data, and it does not propose a specification and modeling of transactions. Based on these limits, the existed OBDBs architecture is not suitable for real-time applications. The real-time ontology, which is the result of temporal constraints integration on real-time context, has been introduced. In this paper, we propose the integration of a real-time ontology on databases. Currently, many real-time applications are geographically distributed, in this case, the distributed real-time DBMS are the best appropriate to be a suitable target for this integration. The performance study of integrating a real-time ontology on distributed real-time DBMS require the use of quality of service (QoS) based architectures which the feedback control scheduling technique is the best case. In this order, the Distributed Feedback Control Scheduling Architecture for Real-Time Ontology (DFCSA-RTO) is proposed.
针对本体生成的大量语义数据的存储和加载问题,提出了许多解决方案。这些解决方案引入了一种新的数据库体系结构,称为基于本体的数据库(obdb),它有几个缺点:它没有考虑非标准数据的管理,没有考虑数据的时间建模,没有提出事务的规范和建模。基于这些限制,现有的obdb体系结构不适合实时应用。实时本体是对实时上下文进行时间约束集成的结果。本文提出了一种基于数据库的实时本体集成方法。目前,许多实时应用程序在地理上是分布式的,在这种情况下,分布式实时DBMS最适合作为这种集成的合适目标。在分布式实时DBMS上集成实时本体的性能研究需要使用基于服务质量(QoS)的体系结构,其中反馈控制调度技术是最好的例子。在此基础上,提出了面向实时本体的分布式反馈控制调度体系结构(dfsa - rto)。
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引用次数: 3
An incremental updating method for online monitoring state-of-health of VRLA batteries VRLA蓄电池健康状态在线监测的增量更新方法
Yangguang Liu, Yun Meng, Zhengqiu Lu, X. Gao
Valve-regulated lead acid (VRLA) batteries are widely used for backup power in the DC power system of transformer substations. Therefore, the state-of-health (SOH) of batteries is critical for maintaining the reliability of the power system. However, due to the unique structure of the VRLA battery, it is difficult to obtain accurate SOH for the short discharge process during battery maintenance. To solve this problem, using the battery equivalent circuit model of the VRLA battery, we propose the online SOH estimation algorithm based on recursive least squares. The method is based on a non-linear model function deduced from the Shepherd battery equivalent model. Moreover, we present a specific scheme for estimating parameters combined with the recursive least squares (RLS) algorithm. The model parameters are then updated using the discharge data from the battery. Finally, we can predict the SOH using the battery model. The experimental results showed that the proposed algorithm could accurately predict the SOH of VRLA batteries using less than two hours of discharge data.
阀控铅酸蓄电池在变电站直流供电系统中广泛用作备用电源。因此,电池的健康状态(SOH)对于维持电力系统的可靠性至关重要。然而,由于VRLA电池的独特结构,在电池维护过程中,对于短时间的放电过程,很难获得准确的SOH。针对这一问题,利用VRLA电池等效电路模型,提出了基于递归最小二乘的在线SOH估计算法。该方法基于Shepherd电池等效模型推导出的非线性模型函数。此外,我们还提出了一种结合递推最小二乘(RLS)算法的参数估计方案。然后使用电池的放电数据更新模型参数。最后,我们可以使用电池模型来预测SOH。实验结果表明,该算法可以利用小于2小时的放电数据准确预测VRLA电池的SOH。
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引用次数: 2
Comprehensive evaluation method of visual analytics tools based on fuzzy theory and artificial neural network 基于模糊理论和人工神经网络的可视化分析工具综合评价方法
Saber Amri, Hela Ltifi, Mounir Ben Ayed
With the development of modern technologies, there are more and more complex Visual Analytics (VA) systems. New challenge of the VA field is to analyze complex, incomplete and inconsistent data. Hence, its evaluation is a primordial task aiming to optimize them, although it is a very difficult task. Even little effort has been made to intelligently evaluate VA artefacts, we proposed to assess the visualization environment and user's interaction by mixing of think aloud protocol analysis and eye tracking that provides an efficient information source where visualization can be used to derive measures about a set of metrics employed to analyze the user performance. As soon as we obtain values from one of these metrics, we use a Neuro-Fuzzy method to intelligently interpret these measures by combining; (1) Fuzzy logic to deal with inaccuracies and uncertainty problems during the evaluation process using the concept of linguistic variables, with (2) Neural network to solve the continuous changes problem in assessment environments with delivery of adaptive learning content. The evaluation results performed by intelligence artificial (IA) are more realistic and accurate than those of traditional methods whereas the lack of ambiguity and uncertainty problems in subjective evaluation.
随着现代技术的发展,出现了越来越复杂的可视化分析系统。对复杂、不完整和不一致的数据进行分析是价值评估领域面临的新挑战。因此,其评估是一项旨在优化它们的原始任务,尽管这是一项非常困难的任务。即使在智能评估VA人工制品方面所做的努力很少,我们建议通过混合思考协议分析和眼动追踪来评估可视化环境和用户交互,这提供了一个有效的信息源,其中可视化可用于导出用于分析用户性能的一组指标的度量。一旦我们从其中一个指标中获得值,我们使用神经模糊方法通过组合来智能地解释这些指标;(1)模糊逻辑利用语言变量的概念处理评价过程中的不准确性和不确定性问题;(2)神经网络通过传递自适应学习内容来解决评价环境中的持续变化问题。人工智能(IA)评价结果比传统评价方法更真实、更准确,主观评价不存在歧义和不确定性问题。
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引用次数: 1
A new mathematical model of a college-enterprise cooperation system 校企合作系统的新数学模型
Xiaohong Liu, Xianyi Zeng
College-enterprise cooperation is not only an important requirement for modern education development, but also an effective way for enterprises to enhance their competitiveness. Although this cooperation directly deals with colleges and enterprises, governments always play an important role in the process. Apart from the previous three partners, market is also frequently considered as a key factor in the college-enterprise cooperation system. By introducing the concept of action-reaction in physics, a dynamic model related to the four factor cooperation system is set up and analyzed. This model has been successfully applied to a case of entrepreneurship education in order to provide a solid theoretical support for promoting college-enterprise cooperation.
校企合作是现代教育发展的重要要求,也是企业提升竞争力的有效途径。虽然这种合作直接涉及高校和企业,但政府在这一过程中始终发挥着重要作用。除了上述三个合作伙伴之外,市场也经常被认为是校企合作体系的关键因素。通过引入物理学中作用力-反作用的概念,建立并分析了四要素协同系统的动力学模型。该模型已成功应用于一个创业教育案例,为促进校企合作提供了坚实的理论支持。
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引用次数: 0
SOC calculation method based on extended Kalman filter of power battery for electric vehicle 基于扩展卡尔曼滤波的电动汽车动力电池SOC计算方法
Xin Liu, ZengMu Cheng, Feng-Yan Yi, T. Qiu
Battery SOC estimation is the core of the battery management system, SOC directly affect the battery management system (BMS) decision-making and control. In this design, the Kalman filter correction method is taken into account and the influence of charge and discharge rate, temperature and charge/discharge cycles on the SOC estimation is considered. Based on this method, the Kalman filter correction algorithm is proposed, and its application in the pure electric vehicle battery management system. The results show that Kalman filter correction algorithm effectively corrects the error of Ah method, improves the estimation precision, and provides a more accurate SOC estimation method for battery management system.
电池SOC的估算是电池管理系统的核心,SOC直接影响电池管理系统(BMS)的决策和控制。在本设计中,考虑了卡尔曼滤波校正方法,并考虑了充放电速率、温度和充放电周期对SOC估计的影响。在此基础上,提出了卡尔曼滤波校正算法,并将其应用于纯电动汽车电池管理系统中。结果表明,卡尔曼滤波校正算法有效地修正了Ah法的误差,提高了估计精度,为电池管理系统提供了一种更准确的SOC估计方法。
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引用次数: 8
A branching heuristic based on variable decision levels 基于可变决策水平的分支启发式算法
Zhonghe Du, Zhenming Song
Efficient branching heuristic is a key feature of modern SAT solvers. Firstly, this paper introduced VSIDS heuristic and VSIDS-based heuristics like EVSIDS and ACIDS. Based on VSIDS, a new heuristic termed DLBH that considers variable decision levels was proposed to promote the efficiency of variable selection process. Then, instances showed the comparison among EVSIDS, ACIDS and DLBH. Finally, experimental results indicated that MiniSat solver with DLBH outperforms solvers MiniSat with VSIDS and Glucose.
高效分支启发式是现代SAT求解器的一个重要特征。本文首先介绍了VSIDS启发式方法以及基于VSIDS的EVSIDS和ACIDS等启发式方法。为了提高变量选择过程的效率,在VSIDS的基础上,提出了一种考虑变量决策水平的启发式算法DLBH。然后,举例说明了EVSIDS、ACIDS和DLBH之间的比较。最后,实验结果表明,使用DLBH的MiniSat求解器优于使用VSIDS和Glucose的MiniSat求解器。
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引用次数: 0
期刊
2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)
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