With the ever-increasing popularity of Internet of Things(IoT),massive enterprises are attempting to encapsulate their developed outcomes into various lightweight Web Application Programming Interfaces(APIs)that can b...
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With the ever-increasing popularity of Internet of Things(IoT),massive enterprises are attempting to encapsulate their developed outcomes into various lightweight Web Application Programming Interfaces(APIs)that can be accessible *** this context,finding and writing a list of existing Web APIs that can collectively meet the functional needs of software developers has become a promising approach to economically and easily develop successful mobile ***,the number and diversity of candidate IoT Web APIs places an additional burden on application developers’Web API selection decisions,as it is often a challenging task to simultaneously ensure the diversity and compatibility of the final set of Web APIs *** this challenge and latest successful applications of game theory in IoT,a Diversified and Compatible Web APIs Recommendation approach,namely DivCAR,is put forward in this *** of all,to achieve API diversity,DivCAR employs random walk sampling technique on a pre-built“API-API”correlation graph to generate diverse“API-API”correlation ***,with the diverse“API-API”correlation subgraphs,the compatible Web APIs recommendation problem is modeled as a minimum group Steiner tree search problem.A sorted set of multiple compatible and diverse Web APIs are returned to the application developer by solving the minimum group Steiner tree search *** last,a set of experiments are designed and implemented on a real dataset crawled from *** results validate the effectiveness and efficiency of our proposed DivCAR approach in balancing the Web APIs recommendation diversity and compatibility.
The models developed to date for knowledge base embedding are all based on the assumption that the relations contained in knowledge bases are binary. For the training and testing of these embedding models, multi-fold ...
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The models developed to date for knowledge base embedding are all based on the assumption that the relations contained in knowledge bases are binary. For the training and testing of these embedding models, multi-fold (or n-ary) relational data are converted to triples (e.g., in FB15K dataset) and interpreted as instances of binary relations. This paper presents a canonical representation of knowledge bases containing multi-fold relations. We show that the existing embedding models on the popular FB15K datasets correspond to a suboptimal modelling framework, resulting in a loss of structural information. We advocate a novel modelling framework, which models multi-fold relations directly using this canonical representation. Using this framework, the existing TransH model is generalized to a new model, m-TransH. We demonstrate experimentally that m-TransH outperforms TransH by a large margin, thereby establishing a new state of the art.
Similarity search, or finding approximate nearest neighbors, is becoming an increasingly important tool to find the closest matches for a given query object in large scale database. Recently, learning hashing-based me...
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Artificial intelligence (AI) and machine learning (ML) have come a long way from the earlier days of conceptual theories, to being an integral part of today's technological society. Rapid growth of AI/ML and their...
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We demonstrate the fabrication of ultra-short absorptive sections in strongly confined waveguide employing quantum well intermixing technique, which could lead to the realization of nanoscale waveguides with selective...
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The growing necessity for enhanced processing capabilities in edge devices with limited resources has led us to develop effective methods for improving high-performance computing (HPC) applications. In this paper, we ...
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Fault diagnosis and failure prognosis of critical dynamic systems, such as aircraft and industrial processes, rely on degradation or fatigue models and measurements typically acquired on-line in real-time. Such sensor...
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ISBN:
(纸本)9781577353478
Fault diagnosis and failure prognosis of critical dynamic systems, such as aircraft and industrial processes, rely on degradation or fatigue models and measurements typically acquired on-line in real-time. Such sensor data must be pre-processed in order to remove artifacts and improve the signal-to-noise ratio. Furthermore, they must be processed appropriately so that useful information in compact form can be extracted and used to detect incipient failures and predict the remaining useful life of failing components. We present a methodology to select an optimum feature vector from a list of candidate features, prioritize and rank them to meet set performance objectives. The enabling technologies include genetic programming tools, data fusion and model-based approaches for feature selection and extraction. We will suggest a multi-core processing environment for the efficient and expedient implementation of these technologies. Performance metrics are defined to assess the efficacy of the methodology. Typical examples from aircraft systems are used to demonstrate the proposed techniques.
A wideband 2×2 sequential-phase fed circularly polarized(CP)microstrip antenna array(MAA)with sequentially rotated elements is ***,the antenna element loaded with shorting pins is studied as compared to the tradi...
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A wideband 2×2 sequential-phase fed circularly polarized(CP)microstrip antenna array(MAA)with sequentially rotated elements is ***,the antenna element loaded with shorting pins is studied as compared to the traditional ***,a feeding network is designed to be connected together in a sequential rotation manner,resulting in forming a four-port network to allow symmetrical positioning of CP microstrip patch *** that,straight strips are added to the feeding network in order to increase the distance and reduce coupling between array *** also play a role in improving the impedance matching of the ***,the proposed antenna array is designed and *** results are presented that its impedance bandwidth is about 36.3%at 24.1~34.8 GHz for|S_(11)|<10 dB and axial-ratio(AR)bandwidth is about 20.4%at 24.2~29.7 GHz for AR<3 ***,a peak gain of 11.1 dBic is simulated over the operating frequency range,which is significantly improved compared to the classic and existing works.
In this paper, a palmprint identification and verification approach based on Pyramidal Histograms of Oriented Gradients (PHOG) and fast tree based matching is presented. In the feature extraction stage, proposed local...
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Image-to-site model registration is critical to model supported exploitation of aerial and satellite imagery. This paper presents a fully-automatic registration method. This method uses a multi-resolution image-to-ima...
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Image-to-site model registration is critical to model supported exploitation of aerial and satellite imagery. This paper presents a fully-automatic registration method. This method uses a multi-resolution image-to-image registration process assuming both affine and projective transformations to determine and refine the locations of 3D control points in the new image. Camera resection is subsequently accomplished. Registration results obtained on real imagery show good performance.
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