COVID-19 Detection Based on 6-Layered Explainable Customized Convolutional Neural Network

This paper presents a 6-layer customized convolutional neural network model(6L-CNN)to rapidly screen out patients with COVID-19 infection in chest CT images.This model can effectively detect whether the target CT image contains images of pneumonia lesions.In this method,6L-CNN was trained as a binary classifier using the dataset containing CT images of the lung with and without pneumonia as a sample.The results show that the model improves the accuracy of screening out COVID-19 patients.Compared to othermethods,the performance is better.In addition,the method can be extended to other similar clinical conditions.

Service Customized Space-Air-Ground Integrated Network for Immersive Media: Architecture, Key Technologies, and Prospects

The space-air-ground integrated network(SAGIN) is regarded as the key approach to realize global coverage in future network and it reaches broad access for various services. Being the new paradigm of service, immersive media(IM) has attracted users’ attention for its virtualization, but it poses challenges to network performance, e.g. bandwidth, rate, latency. However, the SAGIN has limitations in supporting IM services, such as 4 K/8 K video, virtual reality, and interactive games. In this paper, a novel service customized SAGIN architecture for IM applications(SAG-IM) is proposed, which achieves content interactive and real-time communication among terminal users. State-of-the-art research is investigated in detail to facilitate the combination of SAGIN and service customized technology, which provides endto-end differentiated services for users. Besides, the functional components of SAG-IM contain the infrastructure layer, perception layer, intelligence layer, and application layer, reaching the capabilities of intelligent management of the network. Moreover, to provide IM content with ultra-high-definition and high frame rate for the optimal user experience, the promising key technologies on intelligent routing and delivery are discussed. The performance evaluation shows the superiority of SAG-IM in supporting IM service.Finally, the prospects in practical application are high-lighted.

Study on the Product Description Method for Networked Customization

Networked customization had gradually become one of t he import manufacturing and marketing patterns in the information age. Product d escription had an important effect on realizing networked customization. From th is point of view, this paper firstly analyzed four requirements of adaptability, stability, conciseness and definitude that product description methods for netw orked customization must satisfy. According to these requirements, the paper com mented on current methods of product description, pointing out their advantages and disadvantages. As none of current methods could satisfy the four requirement s simultaneously, they were not fully applicable to networked customization. The n a plug-in based product description method was brought forward and discussed in detail. In this method, product description for networked customization w as abstracted as three component parts of basic description, basic feature and c ustomization feature. These parts had different characteristics. Basic descripti on was applicable to all products types. Basic feature was stable as concerning specific product type. Variants of certain product type all possessed identi cal basic features. Customization features were variable. Different combinations of customization features would give birth to different product variants. Apply ing object-oriented method, three standard product description plug-ins could be got by encapsulating these component parts. As "basic feature" and "customiza tion feature" plug-in had similar structures, they could be further abstracted as "feature" plug-in. When describing a type of product, a "basic description" plug-in would be instantiated firstly. Then according to product’s specific ch aracteristics, necessary number of "basic feature" and "customization feature" p lug-ins would be instantiated and appended, such as "color", "material", etc. E ach "basic feature" plug-in related to an instantiated "feature value" plug-in , while each "customization feature" plug-in related to one or multiple instant iated "feature value" plug-ins. Finally, "associate" and "exclude" relation ship should be specified among associated "customization feature" plug-ins. Thr ough appending and combining various plug-ins, this method was capable of descr ibing any type of product while meeting the four requirements simultaneously. Th is paper also gave an example to clarify the application of plug-in based produ ct description method. This example firstly described a kind of customizable TV provided by certain company. Then it showed how to describe an individual co nfiguration of this customizable TV in XML. Furthermore, suppose a consumer want ed to search for relevant information of a TV with game function, this example explained how to utilize XML query language to benefit consumer’s searching for product information. From analysis, we could draw the conclusion that plug -in based product description method was superior to current description method s and fully adapted to networked customization environment.

Fuzzy Scheduling of Coupled Customers toa Queueing Network with Parallel Servers

In this paper we consider a queueing network consisting of two parallel servers and threearrival streams generated by independent Poisson sources. Each server has its own queue and receivescustomers from its own arrival stream. A third arrival stream consists of customers which place resourcedemands on both servers, which are handled separately by each server once the request is made. Eachservice time is independent and exponentially distributed. Each customer in the system pays a holdingcost per unit time. The objective is to dynamically determine the optimal scheduling policy to the thirdstream of conupled customers. based on the state of the system, so as to minimize the average cost. Thismodel is new, and has Policy implications for computer or communication networks. A fuzzy approachis presented to solve this problem. Simulation shows that the approach is efficient and promising.