A setup for panoramic stereo imaging

In this paper, based on the proposed basic implementation of circular projection, a multi-camera setup which can be used for panoramic stereo imaging is presented. Firstly, we get multiple stereo pairs instantly by fixing multiple cameras on the proposed setup, which is an approximate implementation of circular projection. We then prove that the influence on the resultant stereo pairs generated by this approximate setup is slight based on similar triangles and structural similarity (SSIM). With these stereo pairs, the automatic panoramic image stitching algorithm is applied to generate panoramas for both eyes. In addition, with reasonable distance between cameras and the scene, physical dimensions of this setup are given. Finally, experimental results demonstrate that our scheme can be used to generate cylindrical stereo panoramic image with proper scene depth, which can provide viewers with distinguishing stereoscopic experience. The device can be installed on the mobile equipment and captures panoramic stereo image in a moment without stopping. In the future, the proposed setup can be used in the field of network navigation, video monitor and virtual reality.     

公交车的远卡自动收费系统设计

在对公交收费系统的发展和无线射频识别技术进行研究的基础上,分析了现行公交收费系统的优缺点与局限性,并提出了一种公交车远卡自动收费系统的设计思路.主要使用ARM核芯片STM32、射频芯片nRF24LE1等器件,完成了硬件设计.在软件设计上实现了自动计算票价的扣费机制.该系统创新性地将远距离射频技术应用在公交收费系统中,不仅方便了乘客,而且大大提高了乘客上下车的效率.     

Similarity assessment for scientific workflow clustering and recommendation基于相似性评估策略的科学工作流聚类与推荐

This article proposes to identify and recommend scientific workflows for reuse and repurposing. Specifically, a scientific workflow is represented as a layer hierarchy that specifies the hierarchical relations between this workflow, its sub-workflows, and activities. Semantic similarity is calculated between layer hierarchies of workflows. A graph-skeleton based clustering technique is adopted for grouping layer hierarchies into clusters. Barycenters in each cluster are identified, which serve as core workflows in this cluster, for facilitating the cluster identification and workflow ranking and recommendation with respect to the requirement of scientists.     

An Intents-based approach for dynamic service discovery

Service discovery has been a very active research field attracting many researchers around the world. Most of the previous research efforts on service discovery have been based on the ternary classification of participant roles in web services, including service providers, brokers, and consumers. This classification is insufficient because it fails to make a difference between application developers and end users who both belong to service consumers. As a result, application developers usually take the responsibility of seeking services while end users who ultimately use the application are ignored. In order to address this issue, this paper presents an Intents-based approach for dynamic service discovery. The proposed approach is motivated from two industrial protocols: Android Intents and web Intents. It improves the two protocols by a generic model from the aspects of architecture, intent messages and their resolving process, Intents services, and user agents. It classifies the implicit intents into authoritative and naïve intents and is compatible with the current web service triangular architecture. This paper also illustrates a way of creating Intents services from SOAP and REST web services and presents two cases to demonstrate some benefits of the proposed approach.     

Analytic center cutting plane method for multiple kernel learning

Multiple Kernel Learning (MKL) is a popular generalization of kernel methods which allows the practitioner to optimize over convex combinations of kernels. We observe that many recent MKL solutions can be cast in the framework of oracle based optimization, and show that they vary in terms of query point generation. The popularity of such methods is because the oracle can fortuitously be implemented as a support vector machine. Motivated by the success of centering approaches in interior point methods, we propose a new approach to optimize the MKL objective based on the analytic center cutting plane method (accpm). Our experimental results show that accpm outperforms state of the art in terms of rate of convergence and robustness. Further analysis sheds some light as to why MKL may not always improve classification accuracy over naive solutions.     

Reexamining the Factors for Trust in Cultivating Online Customer Repurchase Intentions: The Moderating Effect of Perceived Waiting

With the advancement of Internet technology, online shopping has emerged as a popular way of making purchases. However, because online shopping does not allow immediate enjoyment of purchases as bricks-and-mortar shops do, cultivating customers' trust in online businesses is especially important in attracting return customers. Previous studies have put forward the factors that build multidimensional trust but not systematically examined them. This article reexamines factors of building customer trust and makes a systematic study of the relationship between customers' perceived waiting and repurchase intention. This study examines online stores' professional ability, integrity, and benevolence were selected as the three constructing factors of trust. A total of 351 valid customer questionnaires were collected and analyzed using structural equation modeling. It was found that the most influential factor in customer trust was the security of the online business' information system, followed by the privacy protection, whereas the third-party guarantees and recommendation exhibited the third strongest correlation. Furthermore, the perceived waiting was a significant factor affecting customers' decision to return, notwithstanding their trust in an online business.     

Technology-Based Service Encounters Using Self-Service Technologies in the Healthcare Industry

Although there have been studies discussing the influence of technology-based services on the overall service efficiency and quality of organizations in various industries, very little effort has been devoted to investigating this issue in the healthcare industry. Hospital image is considered to be a crucial factor influencing patients' choice of hospitals, but few studies specifically examine its association with technology-based services. By consulting the model of the European Customer Satisfaction Index, a research model for evaluating the impact of the use of technology-based services on hospital image, patient satisfaction, and patient loyalty in the healthcare industry is developed and examined in this study using survey data collected from 738 patients at two medical centers with an online appointment system. The research results confirm the importance of providing quality, technology-based services in enhancing hospital image, patient satisfaction, and patient loyalty. The implications of this research and suggestions for future work are also discussed.