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Sentiment analysis (or opinion mining) becomes more and more important in many industrial applications because there have been huge needs in extracting writers' intention in their text documents. Previous approaches have adopted classical techniques used in text categorization and information retrieval. For example, for the analysis of terms in a document, information theoretic measures such as point...
In text-independent speaker verification, we compare two sets of sentences with different text content for their tonal similarity to determine if they were due to the same speaker. Since the sentences are different, we may not have matching words to compare. However, the sentences are constructed from the same set of phonemes of the language used, including vowels and consonants. Generally speaking,...
In this paper, the authors estimated the amount of energy-related carbon emissions from different types of primary energy, including coal, oil, and natural gas in Baoding from 2001 to 2010.Then a Gray Relational Analysis model was established on the driving factors of carbon emissions, which included the economic scale, the population scale, the fixed assets investment scale, the industrial scale,...
Currently the research in binocular stereo vision area mainly focuses on camera calibration and stereo matching. For camera calibration, to estimate the camera's parameters is of vital very importance for acquiring better three-dimensional positioning reconstruction accuracy. This research investigates camera calibration parameters for a binocular stereo vision system and their effects on system reconstruction...
Opinions are highly essential for decision making and popular among the internet users. People with malicious intentions tend to give fake reviews to encourage or degrade the products. Reviewing movies is gaining popularity among web users, at the same time cannot be trusted. In this work, we propose a model Sentiment Classification of Movie Reviews using Efficient Repetitive Pre-processing (SentReP)...
Predicting the effort, duration and cost required to develop and maintain a software system is crucial in IT project management. Although an accurate estimation is invaluable for the success of an IT development project, it often proves difficult to attain. This paper presents an empirical evaluation of four parametric software estimation models, namely COCOMO II, SEER-SEM, SLIM, and True Planning,...
Aimed at the problems of delay and uncertain disturbance of the target miss distance signal of optical tracking system, this paper put forward an objective grey prediction filtering algorithm based on combined model. According to gray forecast theory, we establish the grey forecasting model of the target signal directly, based on the analysis of traditional GM(1, 1) model, we has improved it, and...
Due to the non-liner, poor selectivity and cross-sensitivity of the combustible gas in the sewer, an analysis prediction model of the combustible gas in the sewer has been established based on the PSO-SVR machine, the model has introduced a new particle swarm algorithm to support the vector regression machine so that it can optimize the important parameters, realizing the automatic determination of...
In climate mode lings or earth system mode lings, remappings (done by couplers) play an important role in exchanging physical quantity data between different models. By surveying remappings in couplers and the general form of high-order remapping schemes, we present a hybrid remapping scheme to apply proposed schemes in current couplers without modifying remapping modules of couplers. We take a 2nd-order...
GM (1, 1) is a biased grey exponential model, whose accuracy depends on the structure of background values and the selection of original conditions. Current literatures optimized GM (1, 1) models just by optimizing background values or original conditions separately, or by combining them jointly. However, these methods all ignored the accumulative errors between the optimization of background value...
In manufacturing systems, lead time reduction can provide a strategic advantage, specifically when it means the elimination of non-value added waiting time. Queuing theory and Discrete Event Simulation (DES) are two methods commonly used to analyze lead time reduction efforts. Queuing models offer the advantage of fast analytical solutions, whereas DES analyses allow incorporation of high levels of...
Pulsars are rapidly rotating, highly magnetized neutron stars that produce stable and predictable signatures. It can provide an external spatial reference to determine constellation orientation parameters. Based on the pulsar relative observation model and inter-satellite range model, Posterior Cramer-Rao Lower Bound (PCRLB) method is utilized to acquire orientation parameters accuracy in theory....
In this paper, near infrared spectroscopy techniques are used for the detection of meat in the process of corruption time, studied the feasibility of pork freshness level. And the qualitative analysis model is established Based on the software OPUS. During the model establishment process, the kinds of the class of TVBN values are re-divided 5 from 3 using the SOM network clustering to better reflect...
This article presents a quantitative visualization model of thinking competencies which is Based on the essential principle of information visualization. We combine the measurement need of human thinking features in the whole brain development system and analyze the theoretical knowledge about the partitions of human brain and thinking ability features. The model can analyze the thinking competencies...
FMECA, as one kind of reliability analysis methods, is a powerful method for improving the production reliability and has been widely used in the aerospace, medical equipment, ships, shipbuilding and other fields. In this paper, the fuzzy theory is studied and employed for criticality analysis. Finally, this method is applied to a certain type of warhead failure mode, effects and criticality analysis...
Digital Terrain Models (DTMs) are widely and intensively used as a computerized mapping and modeling infrastructure representing our environment. There exist many different types of wide-coverage DTMs generated by various acquisition and production techniques, which differ significantly in terms of geometric attributes and accuracy. In aspects of quality and accuracy most studies investigate relative...
Forecasting time series accurately is critical to ensure the safety and reliability of complex system. So, time series prediction has been a popular subject. Normally, the information used in time series prediction is always mined from multi-variable time series and small simple data. Thus, based on grey prediction theory, an adaptive prediction model with multi-variable small simple time series data...
To understand the delivery performance of message dissemination in Disruption Tolerant Networks (DTNs), various methods have been proposed in the literature. However, existing work shares a common simplification that the pairwise meeting rate between any two mobile nodes is exponentially distributed. In this paper, instead of relying on such assumption, we jointly consider the transmission range and...
The Link-to-System (L2S) interface concept plays an important role in the evaluation of wireless communication systems in terms of System Level Simulation (SLS). The L2S interface is an abstraction model to predict the Link Level Simulation (LLS) performance and transfers the prediction criterion to the SLS. L2S interface is based on a number of mapping models that predict and abstract the link level...
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