Analysis of the Impact of Their Travel Decisions Based on Public Perception of Air Quality -A Case of Shanghai

Based on air quality perception, researching through field survey forms on Shanghai＇ s public travel decisions, article give a comparative analysis and a descriptive statistics on survey data. The study found, different identity, qualifications, age, background of Shanghai＇ s Public perception to air quality perform a universal character, and the rate of concerning for air pollution is relatively high, but to air pollution, they lack of understanding of its essence. Shanghai＇s public have a large usage of mobile devices, the way of concerns for air quality shows a ＂move concern＂ feature. There is a certain influence of air quality on public＇s travel decisions, on the condition that public often go out and show their concern on air quality information.

Application of Structural Equation Model to Evaluate the Perception of Service Quality of Medical Staffs of infectious Disease Department in Chinese Hospitals

Objective To enhance the quality of medical service for Chinese patients through research of service quality from Chinese medical personnel. Methods Serv Qual scale was used for infection medical staffs randomly by sampling questionnaire in Beijing, Shanghai, Chengdu, Chongqing, Guangzhou and Nanning. The data collected were entered and analyzed using SPSS 20.0. Statistical methods included frequency, factor analysis, reliability analysis, correlation analysis, independent samples t test, one-way analyses of variance, simultaneous regression analysis and structural equation model analysis. Results The Kaiser-Meyer-Olkin value for the factor analysis of the scale was 0.970. The Cronbach's α for the reliability analysis was 0.975. The Pearson correlation coefficients were 0.624-0.874 and statistically significant. Undergraduates felt good, Ph D students felt bad; the doctors felt bad; managers felt good. Standard 5 dimensions of the regression coefficients were positive, including empathy(β = 0.288), reliability(β = 0.241) impacting on perceived service quality mostly. The control ability and stability of the standard error of perceived service quality directly effected value were 0.646 and 0.382, respectively. Conclusions Medical staffs of infectious disease department have poor perception of service quality. Hospitals should improve awareness and of clinicians and deepen the reform of the medical care system.

Integration of an Objective Approach Focused on the Consumer to Evaluate the Quality of Processed Brussels Sprouts

Few research works focus on integration of the objective analysis of frozen vegetable quality and the preference of consumers for these products. The aim of the present work was to investigate the consumption patterns of Brussels sprouts, the degree of importance that consumers give to main attributes, and the constructions they make about product quality. For this aim, a series of surveys (snowball sampling method) were performed with consumers from four cities in Argentina. Also, the effect of different industrial operations (two blanching procedures, freezing and cooking) on texture, color, total chlorophyll content and ascorbic acid content of processed sprouts, was determined with respect to the fresh product. A function Z (overall quality) was defined to integrate the information obtained by both approaches. Taking into account the relative importance assigned by surveyed consumers to appearance, texture and nutrient content, the quality of final product obtained from different processing methods was equivalent. Most consumers, 96% of total, preferred the fresh product, which suggests that prejudging by consumers influences attempts at objective estimation of quality.

Adaptive Optimal Capacity Perception and Control for Wireless Multi-Hop Networks

In wireless multimedia communications, it is extremely difficult to derive general end-to-end capacity results because of decentralized packet scheduling and the interference between communicating nodes. In this paper, we present a state-based channel capacity perception scheme to provide statistical Quality-of-Service (QoS) guarantees under a medium or high traffic load for IEEE 802.11 wireless multi-hop networks. The proposed scheme first perceives the state of the wireless link from the MAC retransmission information and extends this information to calculate the wireless channel capacity, particularly under a saturated traffic load, on the basis of the interference among flows and the link state in the wireless multi-hop networks. Finally, the adaptive optimal control algorithm allocates a network resource and forwards the data packet by taking into consideration the channel capacity deployments in multi-terminal or multi-hop mesh networks. Extensive computer simulations demonstrate that the proposed scheme can achieve better performance in terms of packet delivery ratio and network throughput compared to the existing capacity prediction schemes.

Recent Advances and Challenges of Visual Signal Quality Assessment

While quality assessment is essential for testing, optimizing, benchmarking, monitoring, and inspecting related systems and services, it also plays an essential role in the design of virtually all visual signal processing and communication algorithms, as well as various related decision-making processes. In this paper, we first provide an overview of recently derived quality assessment approaches for traditional visual signals (i.e., 2D images/videos), with highlights for new trends (such as machine learning approaches). On the other hand, with the ongoing development of devices and multimedia services, newly emerged visual signals (e.g., mobile/3D videos) are becoming more and more popular. This work focuses on recent progresses of quality metrics, which have been reviewed for the newly emerged forms of visual signals, which include scalable and mobile videos, High Dynamic Range (HDR) images, image segmentation results, 3D images/videos, and retargeted images.