The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this study, a deep denoising recurrent temporal restricted Boltzmann machine network is proposed for long-term prediction of time series. The network is a deep dynamic network model which is stacked by multiple denoising recurrent temporal restricted Boltzmann machines with strong modeling ability for complex high noise time series data. To better deal with high noise data, a random noise is added...
We propose a graph matching based approach to identify multiple people in an indoor localization system by using the infrastructure camera along with microphone and speaker in a smart phone. Given a frame captured by the camera, an attributed graph is composed by considering each person in the frame as the vertice and the distance between people derived from the locations provided by the camera as...
As new data and updates are constantly arriving, the results of data mining applications become stale and obsolete over time. Incremental processing is a promising approach to refreshing mining results. It utilizes previously saved states to avoid the expense of re-computation from scratch. In this paper, we propose i$^2$<alternatives><inline-graphic xlink:type="simple" xlink:href="zhang-ieq2-2397438.gif"/> </alternatives>...
As the key of the prevalent prognostics and health management, remaining useful life prediction has attracted considerable attentions during the past decades. However, almost all of the existing remaining useful life prediction methods were implemented under the premise that the deteriorating systems were not maintained over the whole life cycle. For the deteriorating systems experiencing maintenance...
In this paper, we formulate a probabilistic point set matching problem under variational Bayesian framework and propose an iterative algorithm in which the posteriors of parameters are updated in sequence until a local optimum is reached. This variational Bayesian registration approach explicitly accounts for the matching uncertainty in terms of the parameters and is thus less prone to local optima...
Imputation for missing data is an important task of data mining, which may influence the data mining result. In this paper, Missing Categorical Data Imputation Based on Similarity (MIBOS) is proposed to solve this problem. The algorithm defines a similarity model between objects with incomplete data, constructing the similarity matrix of objects and further gets the nearest undifferentiated object...
Many forecasting models have been developed for forecasting wind farm electricity output. In most situations, performance of models is problem-dependent. Thus, it is difficult for forecasters to choose the right technique for each unique situation. In order to overcome this problem, this paper integrates multiple models into an aggregated model to obtain further performance improvement. Firstly, three...
Studying crop potential model system based on GIS and distributed computing architecture may effectively improve computational efficiency and enhance the independence of the model system. Firstly, the paper constructed crop output potential model system based on distributed computing architecture. Secondly, the paper designed the model system of crop output potential under network environment and...
Metadata is the command center in the process of data warehousing,and which is very helpful to data ETL (Extraction, Transformation and Loading), data storage management,data analysis and data mining.CWM (Common Warehouse Meta-model) is an open industry metadata standard,and which is widely used currently,public meta-models and its rules defined in CWM can properly support data transformation and...
The chemical and petroleum (oil and gas, C&P) is a fast growing and diversified industry. Various applications, from field technique equipment data exchange to business execution with Enterprise Resource Planning (ERP) system, have been deployed to manage and record operation performance. Various industry standards have been defined to create a commonly accepted nomenclature for representing structural...
This paper documents a proposal to create a Smarter City which is event-driven and designed to enable both intra-agency and inter-agency interactions implicit in day-to-day operations in a complex city environment. This paper highlights technologies and event related design that address key points of integration which create a foundation for a citywide management cycle. A Smarter City also delivers...
With the object-oriented modeling method, the information models based on featured manufacturing resources of the automobile gears were established. The models consist of the basic information of manufacturing equipments and the information of feature-based process capabilities. At the same time, the associated relationship of features among features, machining tools and technical equipments was established...
Aiming at the actual need of the digital management of town and villages, the paper studied and implemented a set of the way of data integration methods and technical process, including normalization procedures, classification, Geocoding unity, category code conversion, properties structural regularity, consistency and object processing. Taking WuXiongSi village in Beijing as an example, the study...
Aiming at the problems of the wear condition monitoring, grey theory and auto-regressive combination forecasting model was put forward, and the combination model was build. The rough trend of the wear particle content change can be reflected through grey theory, and the detail of the change can be reflected through auto-regressive model. By testing and comparing a set of Ferro graphic data, the result...
Mobile agent system provides us with a new way to realize distributed collaborative information processing in sensor networks. In this paper, we present a middleware to realize mobile-agent-based data fusion on wireless sensor networks nodes, which is implemented entirely in TinyOS and has been tested on TelosB motes. It consists of two parts. One is the strategy for the serialization of algorithm...
In this paper, the virtual simulation system of power plant be developed on Web environment with the technologies of graphic model and virtual DCS. The system simulates the 600 MW coal-fueled power unit, distributed control system (DCS) of Foxboro I/A and digital electro hydraulic system (DEH) of GE XDPS. The initial data would be imported from real-time database (RTDB) of InStep eDNA. Designing concept,...
In many industries there's a move from paper forms towards electronic forms (eForms) - speed and direction varies within and between industries. Within insurance, ACORD forms is such a standardized effort for properties & casualty and life & annuity. However, ACORD has not effectively linked their forms to the data models they've produced, ACORD forms are still used as static forms - this...
In order to implement the sharing of remote sensing data over the Internet, we proposed an original approach to acquire and integrate remote sensing image metadata using grid service. Firstly, we encapsulated the metadata extracting algorithms and metadata retrieving algorithms into grid services, which can be called on the Web with SOAP messages; secondly, a grid service registry that enables the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.