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The risk assessment approach is useful for monitoring and supervisory control because it provides distribution operator with the capability to quantify the tradeoff between reliability and economic performance. The risk assessment determines the likelihood of something going wrong in a distribution network through the failure probability metric. To deal with the massive variety of information required...
In this paper, we address the problem of cross-view image geo-localization. Specifically, we aim to estimate the GPS location of a query street view image by finding the matching images in a reference database of geo-tagged birds eye view images, or vice versa. To this end, we present a new framework for cross-view image geo-localization by taking advantage of the tremendous success of deep convolutional...
Weather-related impacts are at the top of all outage causes. Yet, traditional outage management (OM) approaches do not integrate all available and relevant weather-associated data automatically. This paper presents a predictive method that correlates different weather-associated data layers to provide predictive OM process implemented using the geographic information systems (GIS) framework. Examples...
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...
This study empirically investigates the merger and acquisition (M&A) strategies of focal firms by considering their market and technology position at the industry level. The results obtained using patents, firm M&A agreements, and the financial data of U.S. technology firms from 1997 through 2008 demonstrate how industry leaders, challengers, and niche players differ in their M&A strategic...
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...
In this paper, we present an approach that simultaneously clusters database members and learns dictionaries from the clusters. The method learns dictionaries in the Radon transform domain, while clustering in the image domain. Themain feature of the proposed approach is that it provides rotation invariant clustering which is useful in Content Based Image Retrieval (CBIR). We demonstrate through experimental...
Many of visitors would be left stranded in the exhibition or traveling area, which might cause traffic jam and bring big pressure to organizer or operator. If the organizer can realize the number of visitor in every venues on time, then the visitors may be guided, and moreover should be provided with 'Personalized Tour Guide' according to their preferences. This paper advances a new exhibition information...
Every substance has its own feature Raman spectroscopy (RS), which intensity is proportional to its concentration under certain condition. This is the basis of Raman spectroscopy to analyze the structure, components, concentrations and some other properties of samples. In order to research how to build up a Raman database of water pollutants, we detected some water pollutants and obtained their Raman...
The use of RFID tags made the container as the carrier of information flow, integrated the information flow and physical distribution, and realized the container real-time track. ATIS System can identify the running train and the train information exactly, when a train arrives at a station, the database in the railways bureau can get its arriving information. This paper integrated the data collected...
Radio Frequency Identification (RFID) is a promising technology for automated non-line-of-sight object identification. Traditional research of RFID middleware does not concern the business definition of RFID event and related integration with enterprise application system. Considering the requirement of logistics tracking and tracing service based on RFID technology, RFID semantic events which based...
Tracing the location of a specific item has induced abundant applications with the development of wireless sensor networks. In past years, different location algorithms have been proposed for indoor or outdoor environments. Some of these use additional equipments, such as GPS [1-3], Infrared [4], and Ultrasound [5]. However, these equipments will increase the power consumption and system cost. In...
In view of the problems of centralized search engine and based on analyzing the technology of topic map, OAI, mobile agent and P2P, we design and implement a scalable distributed retrieval model based on topic map and mobile agent. The model can effectively improve the utilization rate of resources, increase search depth, overcome server failure and heterogeneity of network, and has a strong capacity...
Vital signs provide critical information about the health of a patient. There are four vital signs commonly used by healthcare professionals to evaluate a patient's health. These are body temperature, pulse rate, respiration rate (rate of breathing), and blood pressure. This paper describes the application of an artificial neuromolecular system (ANM system), a self-organizing learning system, to evaluate...
This paper analyzes the shortage of existing privilege management model, proposes a new cross-domain privilege management model, improves the efficiency and veracity. This paper describes a mock application scene validating for the model. The model predigests the agents' interaction with environment, improves the efficiency of privilege management in pervasive computing.
Existing algorithms for mining maximal frequent itemsets have to do superset checking, and some of them using FP-tree have to construct conditional frequent pattern trees recursively. We present a novel algorithm for mining maximal frequent itemsets from a transactional database. In the algorithm, the FP-Tree data structure is used and adapted, and a new strategy called ldquoNBNrdquo (Node By Node)...
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