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Next generation sequencing (NGS) technologies, often referred to as massively parallel sequencing, are having a huge impact on genomics and clinical applications. These technologies generate billions of short sequences (reads) that are consequently mapped to their corresponding reference genome to find out known and/or novel genomic variants potentially correlated to patients phenotype. DNA fragment...
Researches on resource allocations in business process management systems leave an impact to adopt a concrete method for resource performance analysis and evaluations. One established way is a posterior performance evaluation. The ultimate aim in these evaluation methods is identification of most appropriate combination of resources. But, it is found that different types of resources are showing different...
We are in process of developing an image-free, single element ultrasound system for automated evaluation of arterial stiffness, we call it ARTSENS. The lack of a guiding image for arterial visualization necessitates intelligent analysis of ultrasound radio frequency (RF) echo signals to obtain reliable measurements. In this paper, we propose a novel algorithm to parameterize the echo signal received...
In order to solve the problems of kinematics accuracy and reliability of parallel or series-parallel, a type of 3 parallel U 2 series mechanism was used for analysis. Posture and kinematics decoupling method is adopted and got the working space. Through the analysis of the kinematics characteristics of connecting rods and hooker, the sensitive parameters and model is determined. On basis of this,...
Location has become a key service for smartphone applications. With the help of inertial navigation unit integrated into smartphones, such as accelerometer and compass, we can provide reliable and accurate localization service, which overcomes huge energy consumption of GPS and rough location accuracy of systems based on GSM or Wi-Fi. In this paper, we present a reliable and energy-efficient localization...
In this paper we introduce a new approach for modeling covert channel algorithms utilizing automated code generation and evaluation in real network environments. Our proposed framework is called Automated Covert Channel Modeling over Networks (ACCM-Net), which allows the user to convert any general description of a covert channel algorithm into executable code using an automated process. The resulting...
The 10kV, 35kV and 110kV/1000A ac energy meter based on three-phase four-wire floating-ground theory is described. The floating-ground safety protection design, Faraday shielding technique and dc self-supply method are integrated in those meters based on the new I/V, V/V techniques to realize high accuracy, reliability and wide linearity performance. The accuracy of 10kV, 35kV and 110kV energy meter...
Clustering techniques which can handle incomplete data have become increasingly important due to varied applications in marketing research, medical diagnosis and survey data analysis. Existing techniques cope up with missing values either by using data modification/imputation or by partial distance computation, often unreliable depending on the number of features available. In this paper, we propose...
The conventional Takagi-Sugeno (T-S) fuzzy model is an effective tool used to approximating behaviors of nonlinear systems on the basis of precise and certain input and output observations. In some situations, however, we can only obtain mixture of precise data (for input variables), imprecise and uncertain data (for output variable/response). This paper presents a method used to constructing T-S...
In this study an Indoor Positioning System (IPS) based on intelligent fingerprint-assisted has been proposed in order to calculate the reliable reference point data and development a positioning system learning mechanism through wireless network connection. Due the change in external environment, the traditional statistical approach will require more than 150 times of learning for the reference points,...
Spontaneous facial expression recognition using temporal patterns is a relatively unexplored area in facial image analysis. Several factors such as head orientation, co-occurrence and presence of subtle facial action units (AUs), and time variability of AUs make the problem more challenging. This paper presents a methodology to model and automatically recognize the intensity of spontaneous AUs in...
The digital target image, in a machine vision based automatic scoring system, should be recognized for the subsequent automatic scoring and records analysis. However, target images collected from a camera are bound to be distorted, which would pose some difficulties to recognition. In this paper, according to the automatic closed loop controlling idea, a loop algorithm is proposed after the verification...
Classification of hyper spectral images is an important issue in remote sensing image processing systems. Hyper spectral images have advantages in pixel-wise classification owing to the high spectral resolution. However, the pixel-wise classification result often introduces the salt-and-pepper appearance because of the complex noise produced by atmosphere and instrument. An effective way to overcome...
Monte Carlo (MC) sequential simulation is capable of providing system chronological information. It is a very useful tool for power system reliability analysis and planning, especially for systems involving time-dependent sources. In this paper, a new sequential simulation approach is proposed for reliability evaluation of composite power systems. The main idea is to apply Latin Hypercube sampling...
The main goal of stereoscopy algorithms is the calculation of the disparity map between two frames corresponding to the same scene, and captured simultaneously by two different cameras. The different position (disparity) where common scene points are projected in both camera sensors can be used to calculate the depth of the scene point. Many algorithms calculate the disparity of corresponding points...
Aggregation operators are useful tools which summarise multiple inputs to a single output. In practice, inputs to such operators are variables which represent different criteria, measurements, or opinions from experts. In this paper, a nearest neighbour-guided induced OWA operator, abbreviated as fcNN-IOWA, is proposed as a special case of the generic induced OWA where the input arguments are ordered...
Statistical data quality refers to the accuracy of the statistics. Accurate and reliable statistics is the important basis for scientific decision and scientific management. Aiming at the phenomenon of some statistical dishonesty problem shown in this paper the causes of this phenomenon are briefly analyzed, and we put forward the measures to improve the quality of statistical data.
Nowadays, we are facing the rapidly growing amount of data being produced in many organizations, social networks and internet. These data are generated in disparate locations and their aggregation into one location is exceedingly time and space consuming. Traditional statistical methods are not sufficient for processing of this massive multi-source data. In this paper, we propose a new fuzzy-based...
It has great significance to analyze the kinematics reliability of the manipulator, which can reflect the motion performance comprehensively. In paper, kinematics reliability of manipulator is discussed, and the mathematical description is derived when the manipulator is kinematics reliable. Taking elasticity factors into account, a multi-level model for the pose (position and posture) accuracy of...
A parallel-processing method, named “critical data-aware operation” (CDO), for higher energy efficiency (i.e., lower energy consumption in computer systems) is proposed. The proposed method achieves energy-efficient computation by aggressive voltage scaling with critical data-protection techniques. As a case study to evaluate the method, K-means clustering simulation was performed, and the simulation...
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