THE EFFECTS OF STRIDE LENGTH AND FREQUENCY ON THE SPEEDS OF ELITE SPRINTERS IN 100 METER DASH

By adopting relative and factor analysis, this study elaborated on the relations and the main factors of the speed growth, the stride length and the stride frequency at each phase in the whole course of 100m dash. Using data from the study it demonstrated that stride length contributes much more to the course of 100m dash than the stride frequency. Furthermore, this study found that excessive accelerating in the fast striding after starting, which is related to the excessively high stride frequency, also affected the speed in a certain degree in the whole course of 100m dash. According to the relative and factor analysis, the study indicated that it is necessary to control the stride frequency and to increase the stride length while accelerating at the first 10m section in fast striding. This occurs in order to reduce or eliminate the negative influence caused by excessive accelerating in the fast striding after leaving the starting line

MF-traces and a Lower Bound for the Topological Free Entropy Dimension in Unital C*-algebras

We continue previous work on Voiculescu's topological free entropy dimension {\delta}_{top}. We introduce the notions of MF-trace, MF-ideal, and MF-nuclearity and use these concepts to obtain upper and lower bounds for {\delta}_{top}, and in many cases we obtain an exact formula for {\delta}_{top}. We also discuss semicontinuity properties of {\delta}_{top}

A state-space based method to predict thermal performance of pipeembedded double skin façade: case study in Guangzhou

Pipe-embedded double skin facade, which arranges pipes in shading device, is an alternative to reduce indoor demand and save energy. To simulate annual performance of this system, a simplified approach based on optical and thermal property is proposed at first, in which dynamic performance is acquired through state-space method. Then the model is validated with former investigation and shows good accuracy. Indoor room temperature with the pipe-embedded double skin façade is analyzed under different types of room in Guangzhou at last. Results show that the pipe-embedded double skin façade could guarantee a barely satisfactory indoor environment where indoor heat gain is small in most time. Besides, superiority would be obvious when solar radiation is strong, indicating the applicability in some typical region with abundant sunshine

Slicing-Based Artificial Intelligence Service Provisioning on the Network Edge: Balancing AI Service Performance and Resource Consumption of Data Management

Edge intelligence leverages computing resources on the network edge to provide artificial intelligence (AI) services close to network users. As it enables fast inference and distributed learning, edge intelligence is envisioned to be an important component of 6G networks. In this article, we investigate AI service provisioning for supporting edge intelligence. First, we present the features and requirements of AI services. Then we introduce AI service data management and customize network slicing for AI services. Specifically, we propose a novel resource-pooling method to regularize service data exchange within the network edge while allocating network resources for AI services. Using this method, network resources can be properly allocated to network slices to fulfill AI service requirements. A trace-driven case study demonstrates that the proposed method can allow network slicing to satisfy diverse AI service performance requirements via the flexible selection of resource-pooling policies. In this study, we illustrate the necessity, challenge, and potential of AI service provisioning on the network edge and provide insights into resource management for AI services