Model-based cognitive diagnosis

This paper considers the problem of cognitive diagnosis as an instance of general diagnosis, as studied in artificial intelligence. Cognitive diagnosis is the process of inferring a cognitive state from observations of performance. It is thus a key component of any system which attempts to build a dynamic model of the user of that system. Many issues in cognitive diagnosis, previously discussed informally, are mapped onto formal techniques, with consequent increased clarity and rigour. But it is concluded that the general theories for diagnosis must be broadened to fully encompass the problems of cognitive diagnosis.     

A model to support the search for consensus with conflicting rankings: Multitrident

A general problem of collective decision‐making can be formulated in terms of the N rankings of a discrete set of alternatives expressing the preferences of the N members of the group. Helping to reach a consensus is quite important for team building and organizational development and several contributions were developed by different disciplines like organizational sciences, human resources management and operational research. However, very few models were proposed to support the process of reaching consensus and such models assume a concept of distance between rankings implying an assumption of equal distance between adjacent alternatives. Unfortunately, this hypothesis is hardly acceptable in most cases. In this paper, a model is proposed to search for a ranking in terms of the weights space avoiding the previous assumption and providing useful insights to help decision‐makers adopting such ranking as a consensus decision.     

Synthesis of a Conceptual Model of a Subject Domain. Characteristic Features of Modeling Complex Systems

A solution is given to the urgent problem of high-efficiency control of complex hierarchical distributed integrated industrial complexes by developing a unified functional target approach to synthesizing their control systems utilizing information technologies and the creation of means for constructing a conceptual model of the subject domain.     

整体经济效益最优控制方法

本文提出了整体经济效益最优的动静态耦合的优化控制一体化方法，它在传统的两级优化控制结构中加入一层协调级，能有效地克服以往优化级撇开控制能量代价不计的缺陷。特别是一体化系统通过调级从控制层向优化层引入反馈，使得由于过程自身动态因素对操作点的制约，能有效地通知到优化层，避免了优化的盲目性和片面性。各个层次之间通过公用数据库交换数据，使它们的决策与目前生产过程的实际情况密切联系。     

基于微网平衡的港口桥吊电机控制系统

分析了洋山港桥吊电机冲击性负荷和在生产过程中频繁起停产生的电压波动和电网运行不稳定等问题.从系统角度分析桥吊电机频繁起停与微网供配电系统的特点,提出对桥吊电机进行系统综合控制和单元分组控制相结合的递阶控制策略,并进一步提出超级电容储能器对桥吊电机预起动电能补偿的控制方案,可有效减小桥吊电机对电网的冲击,降低电能损耗和对环境的影响.同时,该方案可以为其他领域微网系统提供借鉴作用.     

Catalytic study for methanol aromatization over hierarchical ZSM-5 zeolite synthesized by kaolin

Hierarchical and conventional ZSM-5 zeolites were synthesized through steam-assisted crystallization approach using acid-treatment kaolin clay as the silica and aluminium sources. The samples were characterized by XRD, SEM, NH₃-TPD, N₂-physisorption and TG techniques. The results showed that hierarchical ZSM-5 had rich mesopores and bigger specific surface. In conversion of methanol to aromatics, hierarchical and conventional ZSM-5 zeolites showed higher selectivity for aromatics compared with commercial ZSM-5. Under the conditions of 450 °C, 0.15 MPa, the synthesized hierarchical ZSM-5 showed longest lifetime of 380 h, which was 2 and 6 times than those of conventional and commercial ZSM-5, respectively.     

Hierarchical sub-band coding of super high definition image with adaptive block-size multistage VQ

A hierarchical image coding algorithm based on sub-band coding and adaptive block-size multistage vector quantization (VQ) is proposed, and its coding performance is examined for super high definition (SHD) image. First, the concept on SHD image is briefly described. Next, the signal power spectrum is evaluated, and the sub-band analysis pattern is determined from its characteristics. Several quadrature mirror filters are examined from the viewpoints of reconstruction accuracy, coding gain, and low-pass signal quality. Then an optimum filter is selected for the sub-band analysis. The two-stage VQ using the adaptive bit allocation is also introduced to control quantization accuracy and to achieve high-quality image reproduction. Coding performance and hierarchical image reconstruction are demonstrated using SNR and some photographs.     

Hierarchical Delay Test Generation

Delay testing is used to detect timing errors in a digital circuit.In this paper, we report a tool called MODET forautomatic test generation for path delay faults in modular combinational circuits. Our technique usesprecomputed robust delay tests for individual modules to computerobust delay tests for the module-level circuit. We present alongest path theorem at the module level ofabstraction which specifies the requirements for path selectionduring delay testing. Based on this theorem, we propose a pathselection procedure in module-level circuits and report efficientalgorithms for delay test generation. MODET hasbeen tested against a number of hierarchical circuits with impressivespeedups in relation to gate-level test generation.