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Configuration management tools, CMTs for short, are a set of indispensable software for DevOps (Development and Operations). CMTs automate system deployment and configuration through CMT modules, which are reusable, shareable units of configuration code. Therefore, thousands of CMT modules have been developed for various systems, and are still growing fast. Although CMT repositories usually provide...
Spectrum database plays an increasingly important role in spectrum measurements and monitoring, which lays foundations for accurate and real-time spectrum sensing in future cognitive radio networks. A successful identification of the channel propagation model is of great importance to construct spectrum database so as to give an accurate picture of spectrum use in real-world environments. In this...
Operation services are reusable and shareable units of configuration code executed by configuration management tools (CMTs), achieving continuous deployment and continuous delivery. With the prevalence of DevOps (Development and Operations), thousands of operation services have been developed for various software systems, and they are publicly available through the online repositories of popular CMTs...
The Taiwan Mandarin Radio Speech Corpus consists of roughly 300 (and growing) hours of audio recordings, selected from Taiwan's National Education Radio (NER) archive. The corpus includes speech from hundreds of speakers and various speech styles (spontaneous conversational and read news). This corpus provides a rich resource for research in speech and automatic speech recognition (ASR). In this paper,...
Outdoor sports equipment without maintenance usually caused injury to users. This paper proposes to design an App notification system combine with IoT to monitor the equipment status. We converted our action signal into frequency domain for analysis. But the useless signal might decline classifier efficiency. Therefore we propose an empirical support vector machine (SVM) to reduce the useless signal...
This paper presents super resolution (SR) of 3D MR images which is effective for brain segmentation as practical application. Brain segmentation is one of important tasks to analyze brain morphometry. An accurate brain segmentation helps improve accuracy of post-processing. The segmentation is affected by the resolution of 3D MR images. In particular, the resolution in slice-select direction is much...
Objective evaluation of disease is one of the desirable goals in medicine. This paper presents a technique for the objective evaluation of facial paralysis, in which features are extracted based on landmark's positions in three-dimensional space (3D-landmarks). The landmarks are initialized manually in the first frontal frame and are tracked in the subsequent frontal frames. Then, the landmark's positions...
With the increasing usage of Wi-Fi infrastructure, methods of indoor localization by Wi-Fi are receiving more and more research efforts in the past. Reducing computational complexity and improving the rate of matching effectively can improve accuracy and real-time of localization. In this paper, we propose a novel clustering approach-AP similarity clustering and K-Weighted Nearest Node (KWNN) method...
Arousal is essential in understanding human behavior and decision-making. In this work, we present a multimodal arousal rating framework that incorporates minimal set of vocal and non-verbal behavior descriptors. The rating framework and fusion techniques are unsupervised in nature to ensure that it can be readily-applicable and interpretable. Our proposed multimodal framework improves correlation...
In this work, an efficient data storage method of NoSQL database is proposed for mobile devices and Internet applications to monitor appliance status in a home environment in real-time, and a home energy management (HEM) mobile App for monitoring this information is also developed. An HBase cluster is constructed as a test bed for evaluation. The evaluation is conducted based on the developed APP...
Swing characteristic of pads in four-pad tilting pad bearing has been studied systematically with the guide bearing for canned pump motor in fourth generation nuclear power units as object. Theoretical derivation reveals that dimensionless pad pendulum angle depends on structural parameters, preload ratio and eccentricity ratio of the bearing, but is unrelated to viscosity of lubrication oil, shaft...
The development of Affective Computing has witnessed tremendous number of studies about facial and vocal expression, while bodily expression only comprises the minority. However, with the emerging of social signal processing, people have paid more attention to the significant role of body language in social communication and emotional expression. One situation when body language shows its importance...
In order to promote the modernization of traditional Chinese medicine (TCM), a platform that allows different legacy TCM information systems to interact, intercommunicate, and interoperate with each other by using standard scientific format and systematical information management is necessary. In this study, a design of an ontology-based service-oriented architecture (SOA) framework is proposed to...
With the development of computer network and widely used of Internet, online information increases in broadband level exponentially, the difficulty and complexity of information retrieval also increase gradually, so the Crawler is developing rapidly. Crawler is a program that can auto collect information from internet. In this paper, we design and implement a multi-thread Crawler for specific resources...
This paper presents a learning-based method called image super-resolution (SR) for generating a high-resolution (HR) image from a single low-resolution (LR) image. Recent research investigated the image SR problem using sparse coding, which is based on good reconstruction of any image local patch by a sparse linear combination of atoms from an overcomplete dictionary. However, sparse-coding-based...
In this paper, we propose to represent an image as a local descriptor tensor and use a multilinear supervised neighborhood embedding (MSNE) for discriminant feature extraction, which is able to be used for subject or scene recognition. The contributions of this paper include: 1) a novel feature extraction approach denoted as the histogram of orientation weighted with a normalized gradient (NHOG) for...
Face Hallucination is, one of a learning-based super-resolution technique that can reconstruct a high-resolution image using only one low-resolution image. However, there are often some detailed high-frequency components of the reconstructed image that cannot be recovered using this method. In this study, we proposed a high-frequency compensated face hallucination method for enhancing reconstruction...
This paper addresses the problems of feature selection and feature fusion. For the feature selection, the color SIFT descriptors in the independent components are ordered for image classification. To select distinctive and compact independent components (IC) of the color SIFT descriptors, we propose two ordering approaches based on variation: (1) Local ordering approaches (the localization-based ICs...
Facial paralysis, the majority of which is idiopathic, causes loss of facial movement of one side. It is important to construct a facial expression databases to quantitatively evaluate this condition for early treatment of facial paralysis. Generally, the existing human facial expression databases are built using healthy volunteers for face recognition or expression recognition. In this paper, we...
As a global rise of new model of software service, SaaS (Software as a Service) is becoming a new direction of software industry in the next decade. SaaS eliminates the demand for enterprises to purchase, construct, and maintain the infrastructure and software. They can pay only a little money to rent applications from SaaS vendors. However, it has brought new challenges for the techniques and methods...
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