The paper presents the coupling of artificial intelligence-AI and Object-oriented methodology applied for the construction of the model-based decision support system MBDSS.The MBDSS is designed for support the strate...The paper presents the coupling of artificial intelligence-AI and Object-oriented methodology applied for the construction of the model-based decision support system MBDSS.The MBDSS is designed for support the strategic decision making lead to the achievemellt of optimal path towardsmarket economy from the central planning situation in China. To meet user's various requirements,a series of innovations in software development have been carried out, such as system formalization with OBFRAMEs in an object-oriented paradigm for problem solving automation and techniques of modules intelligent cooperation, hybrid system of reasoning, connectionist framework utilization,etc. Integration technology has been highly emphasized and discussed in this article and an outlook to future software engineering is given in the conclusion section.展开更多
The work takes a new liquid-cooling plate in a power battery with pin fins inside the channel as the object.A mathematical model is established via the central composite design of the response surface to study the rel...The work takes a new liquid-cooling plate in a power battery with pin fins inside the channel as the object.A mathematical model is established via the central composite design of the response surface to study the relationships among the length,width,height,and spacing of pin fins;the maximum temperature and temperature difference of the battery module;and the pressure drop of the liquid-cooling plate.Model accuracy is verified via variance analysis.The new liquid-cooling plate enables the power battery to work within an optimal temperature range.Appropriately increasing the length,width,and height and reducing the spacing of pin fins could reduce the temperature of the power battery module and improve the temperature uniformity.However,the pressure drop of the liquid-cooling plate increases.The structural parameters of the pin fins are optimized to minimize the maximum temperature and the temperature difference of the battery module as well as the pressure drop of the liquid-cooling plate.The errors between the values predicted and actual by the simulation test are 0.58%,4%,and 0.48%,respectively,which further verifies the model accuracy.The results reveal the influence of the structural parameters of the pin fins inside the liquid-cooling plate on its heat dissipation performance and pressure drop characteristics.A theoretical basis is provided for the design of liquid-cooling plates in power batteries and the optimization of structural parameters.展开更多
This paper proposes and illustrates an AI embedded object-oriented methodology to formulate the computable general equilibrium (CGE) models. In this framework, a CGE model is viewed as a collection of objects embedd...This paper proposes and illustrates an AI embedded object-oriented methodology to formulate the computable general equilibrium (CGE) models. In this framework, a CGE model is viewed as a collection of objects embedded AI or namely agents in computer world, corresponding to economic agents and entities in real world, such as government, households, markets and so on. A frame representation of major objects in CGE model is used for trade and environment. Embedded Al object-oriented approach (or software agent) is used in the CGE model representation can able to narrow the gap among the semantic representation, formal CGE (mathematical) representation and computer and algorithm representation, and to improve CGE in understanding and maintenance etc. In such a system, constructing a CGE model to appear an intuitive process rather than an abstract process. This intuitive process needs more understanding of the substance of economics and the logic underlying the problem rather than mathematical notation.展开更多
This paper introduces a multi-granularity locking model (MGL) for concurrency control in object-oriented database system briefiy, and presents a MGL model formally. Four lockingscheduling algorithms for MGL are propos...This paper introduces a multi-granularity locking model (MGL) for concurrency control in object-oriented database system briefiy, and presents a MGL model formally. Four lockingscheduling algorithms for MGL are proposed in the paper. The ideas of single queue scheduling(SQS) and dual queue scheduling (DQS) are proposed and the algorithm and the performance evaluation for these two scheduling are presented in some paper. This paper describes a new idea of thescheduling for MGL, compatible requests first (CRF). Combining the new idea with SQS and DQS,we propose two new scheduling algorithms called CRFS and CRFD. After describing the simulationmodel, this paper illustrates the comparisons of the performance among these four algorithms. Asshown in the experiments, DQS has better performance than SQS, CRFD is better than DQS, CRFSperforms better than SQS, and CRFS is the best one of these four scheduling algorithms.展开更多
为实现工业固废在道路与铁道路基工程中的高值化利用,助力双碳目标在交通运输工程领域中的达成,采用钢渣、矿渣与2种脱硫产物(DP-1、DP-2)等工业固废制备再生胶凝固化剂。基于响应面法考察不同工业固废的交互作用并得到其最优组配。采...为实现工业固废在道路与铁道路基工程中的高值化利用,助力双碳目标在交通运输工程领域中的达成,采用钢渣、矿渣与2种脱硫产物(DP-1、DP-2)等工业固废制备再生胶凝固化剂。基于响应面法考察不同工业固废的交互作用并得到其最优组配。采用最优组配下的固化剂对粉土进行改良固化,并表征本研究固化粉土微观结构。与水泥固化粉土作对比,探究了固化剂掺量、养护龄期对固化粉土力学性能和耐久性的影响规律,并分析2种固化粉土的矿物成分,探究再生胶凝固化剂的粉土固化机理。研究结果表明:7 d无侧限抗压强度(p_(usc))响应面模型经残差正态概率分布检验,模型可靠度较高。钢渣与矿渣、钢渣与DP-2交互作用对7 d p_(usc)值的影响极其显著,再生胶凝固化剂最优配比(%)为钢渣∶矿渣∶DP-1∶DP-2=52.1∶19.9∶19.5∶8.5。研究可知,固化粉土具有良好的力学性能和耐久性,在养护后期(28 d)与水泥固化粉土p_(usc)值、加州承载比值、水稳性能系数值、冻融循环系数值分别相差1.9%、0.5%、1.0%、2.3%。再生胶凝固化剂组分在碱性环境中发挥协同作用,水化产物交错生长填充了粉土颗粒之间的孔隙,从而提高了固化粉土的力学性能。同掺量的再生胶凝固化剂碳排放仅为水泥的1.66%,推荐再生胶凝固化剂路床固化工程最优掺量为6%~8%,该技术的推广应用具有重要环保和社会意义。展开更多
文摘The paper presents the coupling of artificial intelligence-AI and Object-oriented methodology applied for the construction of the model-based decision support system MBDSS.The MBDSS is designed for support the strategic decision making lead to the achievemellt of optimal path towardsmarket economy from the central planning situation in China. To meet user's various requirements,a series of innovations in software development have been carried out, such as system formalization with OBFRAMEs in an object-oriented paradigm for problem solving automation and techniques of modules intelligent cooperation, hybrid system of reasoning, connectionist framework utilization,etc. Integration technology has been highly emphasized and discussed in this article and an outlook to future software engineering is given in the conclusion section.
基金supported by the Education and Teaching Research Project of Universities in Fujian Province(FBJY20230167).
文摘The work takes a new liquid-cooling plate in a power battery with pin fins inside the channel as the object.A mathematical model is established via the central composite design of the response surface to study the relationships among the length,width,height,and spacing of pin fins;the maximum temperature and temperature difference of the battery module;and the pressure drop of the liquid-cooling plate.Model accuracy is verified via variance analysis.The new liquid-cooling plate enables the power battery to work within an optimal temperature range.Appropriately increasing the length,width,and height and reducing the spacing of pin fins could reduce the temperature of the power battery module and improve the temperature uniformity.However,the pressure drop of the liquid-cooling plate increases.The structural parameters of the pin fins are optimized to minimize the maximum temperature and the temperature difference of the battery module as well as the pressure drop of the liquid-cooling plate.The errors between the values predicted and actual by the simulation test are 0.58%,4%,and 0.48%,respectively,which further verifies the model accuracy.The results reveal the influence of the structural parameters of the pin fins inside the liquid-cooling plate on its heat dissipation performance and pressure drop characteristics.A theoretical basis is provided for the design of liquid-cooling plates in power batteries and the optimization of structural parameters.
文摘This paper proposes and illustrates an AI embedded object-oriented methodology to formulate the computable general equilibrium (CGE) models. In this framework, a CGE model is viewed as a collection of objects embedded AI or namely agents in computer world, corresponding to economic agents and entities in real world, such as government, households, markets and so on. A frame representation of major objects in CGE model is used for trade and environment. Embedded Al object-oriented approach (or software agent) is used in the CGE model representation can able to narrow the gap among the semantic representation, formal CGE (mathematical) representation and computer and algorithm representation, and to improve CGE in understanding and maintenance etc. In such a system, constructing a CGE model to appear an intuitive process rather than an abstract process. This intuitive process needs more understanding of the substance of economics and the logic underlying the problem rather than mathematical notation.
文摘This paper introduces a multi-granularity locking model (MGL) for concurrency control in object-oriented database system briefiy, and presents a MGL model formally. Four lockingscheduling algorithms for MGL are proposed in the paper. The ideas of single queue scheduling(SQS) and dual queue scheduling (DQS) are proposed and the algorithm and the performance evaluation for these two scheduling are presented in some paper. This paper describes a new idea of thescheduling for MGL, compatible requests first (CRF). Combining the new idea with SQS and DQS,we propose two new scheduling algorithms called CRFS and CRFD. After describing the simulationmodel, this paper illustrates the comparisons of the performance among these four algorithms. Asshown in the experiments, DQS has better performance than SQS, CRFD is better than DQS, CRFSperforms better than SQS, and CRFS is the best one of these four scheduling algorithms.
文摘为实现工业固废在道路与铁道路基工程中的高值化利用,助力双碳目标在交通运输工程领域中的达成,采用钢渣、矿渣与2种脱硫产物(DP-1、DP-2)等工业固废制备再生胶凝固化剂。基于响应面法考察不同工业固废的交互作用并得到其最优组配。采用最优组配下的固化剂对粉土进行改良固化,并表征本研究固化粉土微观结构。与水泥固化粉土作对比,探究了固化剂掺量、养护龄期对固化粉土力学性能和耐久性的影响规律,并分析2种固化粉土的矿物成分,探究再生胶凝固化剂的粉土固化机理。研究结果表明:7 d无侧限抗压强度(p_(usc))响应面模型经残差正态概率分布检验,模型可靠度较高。钢渣与矿渣、钢渣与DP-2交互作用对7 d p_(usc)值的影响极其显著,再生胶凝固化剂最优配比(%)为钢渣∶矿渣∶DP-1∶DP-2=52.1∶19.9∶19.5∶8.5。研究可知,固化粉土具有良好的力学性能和耐久性,在养护后期(28 d)与水泥固化粉土p_(usc)值、加州承载比值、水稳性能系数值、冻融循环系数值分别相差1.9%、0.5%、1.0%、2.3%。再生胶凝固化剂组分在碱性环境中发挥协同作用,水化产物交错生长填充了粉土颗粒之间的孔隙,从而提高了固化粉土的力学性能。同掺量的再生胶凝固化剂碳排放仅为水泥的1.66%,推荐再生胶凝固化剂路床固化工程最优掺量为6%~8%,该技术的推广应用具有重要环保和社会意义。
