Abstract-In this paper, we present a layered architecture and approach for creating a high performance edge server called Reader Coordinator (RC) for managing variety of automatic identification hardware such as RFID (Radio Frequency IDentification) reader, RFID printer, Sensor, Barcode scanner, or a controllable device (e.g. Programmable Logic Controller). A unique hardware abstraction approach is used to provide device extensibility and manageability. Rule based device configuration and control which allows the real-time changing of system behavior is presented. Various data encoding schemes used to accommodate data captured by a device and used as the input of rule based data filtration and aggregation are discussed. We discuss a mechanism of building self-governed automation processing in the data capture process. Performance is measured by using virtual reader that generates high volume of data at high speed. The measurement shows the RC is capable of handling such data.
High volume, high speed, and heterogeneous inbound and outbound data format are characteristics of RFID-based Automatic Identification Data Capture infrastructure. Due to these characteristics, integrating and utilizing RFID data in current Enterprise Information Systems is challenging. A "store and forward" and rule-based subscription integration methodology to streamline RFID data integration is proposed in this paper. Application Level Event (ALE) subscription, an EPCGlobal RFID data integration standard, is analyzed against our proposed and implemented approach. Both integration mechanisms are implemented via a system termed the WinRFID Data Collector. A comparison between the integration methods is presented. From our research methodology, we conclude that the proposed approach is an effective way to process RFID data in a heterogeneous enterprise application environment. Technical limitations of the proposed approach are also presented and analyzed.
In this paper, we study the effects of the neurofeedback method of surface EMG on electrophysiology and evaluate its effects on postural control, balance, and motor function using relevant scales. We optimize the neurofeedback rehabilitation intervention system based on surface EMG, study the objective assessment of neurofeedback rehabilitation intervention of surface EMG, and initially try to apply mirror therapy to the treatment of surface EMG. According to the different treatment methods, they were divided into the drug-only group, drug combined with electroacupuncture group, drug combined with facial muscle function training group, and drug combined with electroacupuncture combined with facial muscle function training group. Starting from the 10th day of the disease course, a course of 15 days contains three courses of treatment with a 3-day break for each course. Patients were tested on day 10, day 25, and day 40 of the disease course and the results of each test were recorded and analyzed. The results of each test were recorded and analyzed. The efficacy of four different methods for simple neurofeedback rehabilitation was compared according to the mean ratio of the root mean square of the patient’s affected and healthy sides. The close relationship between surface EMG neurofeedback rehabilitation intervention and rehabilitation efficacy was also investigated, and the effect of different feedback modes on neurofeedback rehabilitation intervention was explored for the neurofeedback protocol and whether the use of the optimized neurorehabilitation protocol could achieve improved efficacy and have a sustained effect. The study showed that neurofeedback training interventions based on optimized surface EMG can achieve good long-term results, as demonstrated by improved postural control, balance, and motor function of patients; optimized neurofeedback rehabilitation intervention systems; and guiding physicians or nurses to work more effective clinically.
A two-dimensional (2D) graphics hierarchical representation framework and an on-demand content delivery mechanism for facilitating mobile engineering collaboration are presented in this paper. Multi-level graphics content sub-division is utilized to transform large engineering graphics into multiple levels of Scalable Vector Graphics (SVG) content. The hierarchical structure of the SVG content that maintains the relationship between the sub-divided content is formed during the process of sub-division. The divided content is selectively delivered and rendered on the mobile devices in an on-demand fashion. A prototypical system of the proposed approach is implemented and the performance of the framework is evaluated.
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