An important area of focus in complex systems development is the capability to adapt to variable runtime environmental resources and to accommodate runtime system failures. The research in this area is broadly termed ...An important area of focus in complex systems development is the capability to adapt to variable runtime environmental resources and to accommodate runtime system failures. The research in this area is broadly termed as “Self Healing” and has recently aroused increasing attention to complex systems. Digital libraries have gained popularity because of the richer features they provide compared to traditional libraries. As more users begin to use digital libraries, addressing downtimes of these valuable resources has become a high priority. Operating and providing access to digital content to anyone, anytime from anywhere in the world, results in a continued rise of administrative overhead for system monitoring and needs continuous human intervention. Given the volume of information and the huge infrastructure of modem libraries, continuous manual system administration is quite costly and not feasible. In this paper we propose a self healing digital library system as the solution to this problem and present the approach of adding self healing capabilities to an existing digital library project, the Digital Library of India （DLI）. We also propose a self healing framework that enables successful reuse of our approach to other architecturally similar digital library systems.展开更多
Neurorehabilitation involves training of brain activity, which influences the resistive torque and electromyogram. This quantitative evaluation is numerical modeling of biomaterial of human body. Measurement for rehab...Neurorehabilitation involves training of brain activity, which influences the resistive torque and electromyogram. This quantitative evaluation is numerical modeling of biomaterial of human body. Measurement for rehabilitation and developing numerical modeling in patients are useful for information technology education with healthcare background. The resistive torque and electromyogram were measured. Electromyogram is the neuronal activity from eight lower limb muscles. Both activities are output signals for angle input signals. The resistive torque of a stroke patient shows a hysteresis curve, and this is a velocity-dependent component, particular for stroke. Differentiated angle by muscle spindle, a velocity-dependent component, is a stretch reflex （spasticity）. In an electromyogram of a stroke patient, SLR （stretch reflex via spinal cord） means a short latency reflex, and LLR （stretch reflex via cerebral cortex） means a long latency reflex. An example of some stroke electromyogram shows long latency reflex, and this is voluntary movement during the experiment. The example of some stroke resistive torque reveals that viscoelasticity is used for the intrinsic component. The example of some stroke electromyogram reveals that long latency reflex is used for the reflex component of lower limbs. Current research needs improvement. Intrinsic viscoelasticity is modeled by a second-order differential equation. The reflex component of stroke patients is modeled by a double exponential function. Open source software is in use. Information technology-based analyses by numerical modeling would be applied in future healthcare education.展开更多
This paper examined the method to evaluate structural complexity of circular economy system＇s industrial chain, which applied entropy information and hierarchical metrics to produce complexity degrees according to th...This paper examined the method to evaluate structural complexity of circular economy system＇s industrial chain, which applied entropy information and hierarchical metrics to produce complexity degrees according to the theory of complex system. We developed an evaluation model to make a general metrics for circular economy system of industrial chains. The development of the evaluation tree drew upon five factors to identify the structural complexity. The evaluation model generated unitive entropy information from six data definition （node, level of community, metabolic span, degree of node, number of relation and connectivity of node） according to the evaluation tree. The industrial chains of Tashan circular economy park of Datong Coal Mine Group and Gujiao circular economy park of Xishan Coal-Electricity Group were evaluated by the proposed method. The key factors stunted by the decline of structural complexity were identified and the unitive metrics of entropy information of the industrial chain was shown for realigning the circular economy systems.展开更多
文摘An important area of focus in complex systems development is the capability to adapt to variable runtime environmental resources and to accommodate runtime system failures. The research in this area is broadly termed as “Self Healing” and has recently aroused increasing attention to complex systems. Digital libraries have gained popularity because of the richer features they provide compared to traditional libraries. As more users begin to use digital libraries, addressing downtimes of these valuable resources has become a high priority. Operating and providing access to digital content to anyone, anytime from anywhere in the world, results in a continued rise of administrative overhead for system monitoring and needs continuous human intervention. Given the volume of information and the huge infrastructure of modem libraries, continuous manual system administration is quite costly and not feasible. In this paper we propose a self healing digital library system as the solution to this problem and present the approach of adding self healing capabilities to an existing digital library project, the Digital Library of India （DLI）. We also propose a self healing framework that enables successful reuse of our approach to other architecturally similar digital library systems.
文摘Neurorehabilitation involves training of brain activity, which influences the resistive torque and electromyogram. This quantitative evaluation is numerical modeling of biomaterial of human body. Measurement for rehabilitation and developing numerical modeling in patients are useful for information technology education with healthcare background. The resistive torque and electromyogram were measured. Electromyogram is the neuronal activity from eight lower limb muscles. Both activities are output signals for angle input signals. The resistive torque of a stroke patient shows a hysteresis curve, and this is a velocity-dependent component, particular for stroke. Differentiated angle by muscle spindle, a velocity-dependent component, is a stretch reflex （spasticity）. In an electromyogram of a stroke patient, SLR （stretch reflex via spinal cord） means a short latency reflex, and LLR （stretch reflex via cerebral cortex） means a long latency reflex. An example of some stroke electromyogram shows long latency reflex, and this is voluntary movement during the experiment. The example of some stroke resistive torque reveals that viscoelasticity is used for the intrinsic component. The example of some stroke electromyogram reveals that long latency reflex is used for the reflex component of lower limbs. Current research needs improvement. Intrinsic viscoelasticity is modeled by a second-order differential equation. The reflex component of stroke patients is modeled by a double exponential function. Open source software is in use. Information technology-based analyses by numerical modeling would be applied in future healthcare education.
基金Supported by the National Natural Science Foundation of China （70771060） the Natural Science Foundation of Shandong Province （Y2006H10） the Project of Humanities and Social Science （11YJA630101）
文摘This paper examined the method to evaluate structural complexity of circular economy system＇s industrial chain, which applied entropy information and hierarchical metrics to produce complexity degrees according to the theory of complex system. We developed an evaluation model to make a general metrics for circular economy system of industrial chains. The development of the evaluation tree drew upon five factors to identify the structural complexity. The evaluation model generated unitive entropy information from six data definition （node, level of community, metabolic span, degree of node, number of relation and connectivity of node） according to the evaluation tree. The industrial chains of Tashan circular economy park of Datong Coal Mine Group and Gujiao circular economy park of Xishan Coal-Electricity Group were evaluated by the proposed method. The key factors stunted by the decline of structural complexity were identified and the unitive metrics of entropy information of the industrial chain was shown for realigning the circular economy systems.
