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There is a nonlinear relation between the blood glucose and photoplethysmography(PPG) signal. In order to estimate the blood glucose from the photoplethysmography signal, this paper presents a non-invasive blood glucose estimation using Near-Infrared spectroscopy based on the Support Vector Regression(SVR). The wavelet transform algorithm is used to remove baseline drift and smooth signals. 22 parameters,...
In this paper, we proposed a novel biometric identification system which can extract more distinguishable features from the ECG signal. Based on the reference point detection, piecewise correction method was used to solve the problem of heart rate variability (HRV). Besides, we used some details of parts of the wavelet coefficient structure to reconstruct more distinguishable signal. At last, the...
Many noninvasive continuous blood pressure measurements using photoplethysmography (PPG) are still inadequate in terms of accuracy and stability, which hinders the practical application of this method. This paper proposes a model based on ensemble method for BP estimation using PPG. A number of blood pressure calculation base-models is built on the same training data. These base-models are used to...
Emotion representations are psychological constructs for modelling, analysing, and recognising emotion, being one essential element of affect. Due to its complexity, the boundaries between different emotion concepts are often fuzzy, which is also reflected in the diversification of emotion databases, and their inconsistent target labels. When facing data scarcity as an ever present issue for acoustic...
Users' home location is important information for many advanced information services in big data applications (e.g., localized recommendation, target ads of local business and urban planning). In this paper, we study the problem of accurately inferring the home locations of people from the noisy and sparse data they voluntarily share on online social media. Previous studies have developed supervised...
The shifting of English education at tertiary level in China from the traditional General English (GE) education which tends to focus on the fundamental knowledge of English language, basic language skills and standardized tests to ESP (English for Specific Purposes)-oriented education that pays attention to the needs of the most important stakeholder of education, the students. ESP-oriented education...
As the lifeblood of the electric power system, the fault of transmission lines directly threaten the safe operation of the power system. Thus, effective and accurate fault prediction and positioning analysis of transmission lines, has important practical value and economic significance to the security of the power system. To solve the asymmetry of transmission line fault problem, the paper proposes...
Chromatography has been widely used in discrimination and quality control for Chinese medicines (CMs). Nevertheless, regular analytical approaches are not applicable if training samples are small while features are large. Support vector machine (SVM) with recursive feature elimination algorithm (RFE-SVM) is presented in this study for discrimination of Pericarpium Citri Reticulatae through small chromatographic...
Pattern recognition (PR) based myoelectric hand control has become a research focus in the field of rehabilitative engineer and intelligent control. However, the state of the art method is hardly adopted for clinical use because of signal interfered by shift, fatigue and user-unfriendly of retraining. The aim of this study is to evaluate the performance of different kinds of online algorithms in classifying...
To construct a signed network for online social networks would be very useful for Ad Serving, friend recommendation, and Web spammer detection. In the construction of the signed network for certain online social networks (e.g. microblog), sentiment analysis plays a critical role, and the construction of a signed networks turns out to be a big challenge with the rapid growth of the online social networks's...
This paper presents an approach to automatically learning distributed representations for features to address the feature sparseness problem for dependency parsing. Borrowing terminologies from word embeddings, we call the feature representation feature embeddings. In our approach, the feature embeddings are inferred from large amounts of auto-parsed data. First, the sentences in raw data are parsed...
Electrocardiogram (ECG) can be used in clinical diagnosis for cardiac function. Also, because individuals have different ECG traces, therefore, they can be acquired as promising biometric features for human identification. Data for experiment in this paper were chosen from MIT-BIH Arrhythmia Database. Lead I ECG traces of 33 normal individuals were used. QRS complexes were extracted from filtered...
In Fisher Linear Discriminant (FLD), the within-class scatter matrix is always singular. To overcome the above problem and preserve discriminatory information, a new method for palm-dorsa vein feature extraction based on Two-Dimensional FLD (2DFLD) is presented in this paper. We applied PCA, PCA+FLD and 2DFLD to extract the palm-dorsa vein feature subspace. The images to be recognized were projected...
This paper presented a new method for scene images classification via Partially Connected Neural Network. The neural network has a mesh structure in which each neuron maintain a fixed number of connections with other neurons. In training, the evolutionary computation method was used to optimize the connection target neurons and its connection weights. The model is able to receive a large number of...
Aiming at the simulation problem of vehicle maneuvering along path accurately, simulation framework including motion control module, viewpoint control module, collision detection module, path-maneuver module and special effect module is firstly presented according its simulation functions and characteristics. Secondly, key technologies involving terrain model optimization, large area database management...
Support vector machine (SVM) is widely applied to fault diagnosis of machines. However, this classification method has some weaknesses. For example, it cannot separate fuzzy information, particularly sensitive to the interference and the isolated points of the training samples. Besides, it has great demand for memory in calculation. In view of the problems mentioned above, a binary tree-based fuzzy...
3D equipment operation simulation training system (3D-EOSTS) for solving difficult training problem is presented. System building based on 3D modeling can greatly improve the efficiency for the trooppsilas daily training. According to the equipment training requirement, the system architecture and functions are put forward. The whole system includes six simulators such as network simulator, headquarters...
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