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Objective: Classification of sleep-wake states using multichannel electroencephalography (EEG) data that reliably work for neonates. Methods: A deep multilayer perceptron (MLP) neural network is developed to classify sleep-wake states using multichannel bipolar EEG signals, which takes an input vector of size 108 containing the joint features of 9 channels. The network avoids any post-processing step in order to work as a full-fledged real-time application. For training and testing the model, EEG recordings of 3525 30-second segments from 19 neonates (postmenstrual age of 37 ± 05 weeks) are used. Results: For sleep-wake classification, mean Cohen's kappa between the network estimate and the ground truth annotation by human experts is 0.62. The maximum mean accuracy can reach up to 83% which, to date, is the highest accuracy for sleep-wake classification.

Based on the model of linear frequency diversity array synthetic aperture radar (LFDA-SAR) multiple carrier frequency (MCF) signal, the space-variant range offset characteristic of the echo is derived in detail and an enhanced fast back-projection algorithm is proposed. By splitting the original SAR data matrix into sub data blocks, sub image formation and sub image combination recursively, EFBPA effectively rectify the image defocus, geometric distortion problems in traditional back-projection imaging results and greatly reduces the computational complexity of BPA. All results verify the effectiveness of the proposed algorithm.

In this paper, aiming at the problem that improves the professional quality of junior middle school English teachers we conducted a study, and put forward an evaluation model of junior middle school English teachers' professional quality under the background of "the trinity" based on the coefficient of variation method. Coefficient of variation method is the direct use of the indicators contained in the information obtained by calculating the weight of indicators. Is an objective method of empowerment. The results show that we need to combine "the trinity" English teaching model with traditional model in order to improve junior middle school English teachers' professional quality comprehensively. Although the former is superior to the latter on evaluation of the overall, the roles that two kinds of teaching modes play are different on improving the English teachers' professional quality. The former pays attention to improving the ability of organization and coordination and the communication ability with students, the latter pays attention to improving teachers' professional knowledge and written expression ability.

The converse beam cross sliding spotlight SAR (CBC sliding spotlight SAR) imaging processing was investigation in this essay. The geometry and properties of classical standard and inverse sliding spotlight SAR were reviewed and the CBC sliding spotlight SAR operation mode was concerned with unified sliding factor, both classical sliding spotlight SAR and CBC sliding spotlight SAR can be realized by choosing a proper sliding factor. Imaging processing of CBC sliding spotlight SAR was investigated using a data blocking based fast back projection algorithm and the point spread functions were gained. All results proved that CBC sliding spotlight SAR can obtain images with azimuth resolution higher than strip map SAR, and azimuth scene extension larger than pure spotlight SAR. It will play an important role in future SAR remote sensing.

Innovative frequency hopping inverse synthetic aperture radar (FH-ISAR) imaging simulator was presented in this paper aided with the real collected inverse synthetic aperture radar (ISAR) data with conventional constant carrier frequency. These real data obtained by conventional ISAR was used as the input dataset to start the FH-ISAR Imaging simulation, and a series of virtual FH-ISAR dataset, which was simulated, or reproduced based on the input real dataset, were obtained given the parameters such as pulse numbers, frequency hopping bandwidth, frequency hopping code, etc. This simulator can also complete the imaging processing and series of clear images of non-cooperative targets which has the inherent precise complexities of real maneuvering target's movement, can be obtained. It provides a necessary and cool toolkit for FH-ISAR investigations.

Collaborative Filtering (CF) is one of the most successful recommendation approaches to overcome information overload. To get a better recommendation, various researches have been conducted in previous literatures. Intuitively, ones' preference may rely on their interest and their friends' suggestion. However, to the best of our knowledge, no existing works systematically combine user's interest preference detection and the influence of social relationship. In this paper, we proposed ICSRec, a novel framework incorporating users' interest groups detection and the influence of social propagation. We first utilize PLSA model to mine the users' and items' interest-circles. In terms of users, a new indicator, POI(point of interest) score, is introduced to measure the extent how a target user is interested in an interest circle. Matrix factorization embedding social propagation is then employed to predict missing preference of a user for an item in each interest-circle. The experimental analysis on two large datasets Epinions and Ciao demonstrates that our approaches outperform other state-of-the-art methods.

On-Functional Requirements (NFRs) are vital for the success of software systems. Generally speaking, NFRs are some implicit expectations about how well the software will work, often known as software quality. For building better software, the NFRs should be considered as criteria for design decision. However, different NFRs may produce different criteria on the implementation strategies of the software functions. A trade-off analysis is needed for getting an optimal plan during design decision to satisfice NFRs as well as possible. By focusing on the NFRs that can be quantitatively specified, this paper proposes an approach to finding such an optimal solution for helping to make better decision. This approach regards the NFRs as the constraints on the implementation strategies of the software functions and models the selection of implementation strategies as a 0-1 programming problem. Then, a 0-1 programming solver can be used to find the optimal solution. An example is given to demonstrate the feasibility of this approach.

the Problem Frames (PF) approach is a prospective tool for classifying, analyzing and structuring software development problems. However, it at current stage lacks a practical way to capture NFRs. This paper aims to extend the PF Approach for helping system analysts to capture non-functional requirements within the PF approach systematically. A new problem model and a model-guided process have been presented. NFRs specifications can be obtained according to that process. A case study shows the feasibility of this approach.

Based on the large reference of the relevant research, the social disaster of earthquake and their influence on development of regional economy are analyzed. It is thought that the disaster and its social influence are more serious and it's effected scope become larger than before. Most of case suggested that earthquake have an obvious long run effect on local economic development. It will directly or indirectly influent one region's economy development. Economy background and disaster reduction measures decide the disaster bearing abilities. The developed countries' ability to withstand hazard is stronger than developing ones. Because invest more on mitigation measures, the investment on social reproduction would be limited, so earthquake would deduce the profits of economy and slow down the development speed, and in the end affects the sustainable development of regional economy.

Reasoning is critical for non-functional requirements (NFRs) analysis and verification. Furthermore, it can provide rationale about implementation strategies for NFRs. The existing tools can execute an interactive reasoning process which sometimes needs extra information from stakeholders. We build a tool called rΣ for reasoning on NFR models especially when extra information is unavailable or forbidden, like at the model verification stage. This tool employs the formula style model as the input, automatically promotes the reasoning process till the root node, and returns all the satisficing statuses and the complete rationale as the output. We have applied rΣ into the real practice and to evaluate its efficiency.

The method was established for determination of PCBs in sediments by accelerated solvent extraction, Florisil column purification and selected ion GC/MS. It was good linear relationship between PCBs concentrations and instrument responses, high sensitivity, and the recovery from 84. 3% to 103.4%, RSD from 9. 5% to 12. 2%. The test result of standard reference soil sample was correct.

Mine fire, in particular, incidents of spontaneous combustion of coal mine production safety hazards in the sense that no less than gas and coal dust explosion. Spontaneous combustion of coal, compared with the external fire has occurred, and regularly promoting the development of slow process of evolution can be found in the early stages of its formation. In this paper, fuzzy comprehensive evaluation method established evaluation model of spontaneous combustion of coal, and from the spontaneous combustion tendency of coal there was crushing accumulation of states, is proper ventilation and oxygen supply, a good heat storage environment, to maintain the continuous development of coal oxidation time of 4 factors to evaluate the level of well-off spontaneous combustion of coal mines. Evaluation model of spontaneous combustion control of coal mine has important reference value.

Inverse synthetic aperture ladar (ISAL), which operates at visible or infrared wavelength, is more sensitive to maneuver than inverse synthetic aperture radar (ISAR). In this paper, we propose the Range Instantaneous Doppler (RID) algorithm for very high resolution ISAL imaging of maneuvering targets. The Wigner-Ville distribution (WVD) and the Radon transform are used for computing the time-varying Doppler spectrum of maneuvering targets. The data processing of the RID algorithm is illustrated. The simulation shows that the RID algorithm can reconstruct a clearer ISAL image of the maneuvering target than the conventional rang Doppler (RD) algorithm. This is a crucial step in developing a real ISAL system.

Problem Frames (PF) approach is prospective for describing and analyzing software problems. Problem decomposition is fundamental for managing problem size and complexity in RE and ‘projection’ has been argued to be an effective technique for analyzing and decomposing complex problems in PF. However, problem analysis in PF approach is still an empirical, tedious, and subjective process, and it heavily depends on the analysts’ experiences. A suitable tool is highly demanded for providing guidance of the problem description and projection. This paper gives a supporting tool (named DPTool) for describing the problem and performing the problem projection.

This paper propose improved support vector machine algorithm. The algorithm includes preprocessing the sample training set, improvement of the binary tree classification algorithm and incremental sample learning algorithm. Considering the specific classification precision requirements of analog circuit fault diagnosis, the three algorithms are integrated, and achieve good results. The simulation of analog circuit demonstrate that the improved algorithm has higher classification precision and faster diagnosis speed compared to traditional support vector machine algorithm.

This paper proposes modified Multi-Objective Particle Swarm Optimization (MPSO) algorithm based on Pareto solution to overcome the conventional MPSO algorithm can easily fall into its local maximum value and improve the diversity of solution set. This algorithm is composition of a modified Tabu Search with Multi-Objective Particle Swarm Optimization (TSMPSO). With this algorithm Establishing the memory devices- taboo list of global optimal solution, Store the history of the particle that is selected to be the optimal global. And through this approach to strengthen performance of particle swarm optimization in global and local searching. TSMPSO is simple and easy to implement. Simulation results of IEEE 30-bus system show that this algorithm can enhance power system voltage stability, meanwhile economic operation of power system is also implemented, thus the effectiveness and superiority of TSMPSO algorithm are verified.

Ambient Assisted Living (AAL) technology is often proposed as a way to tackle the increasing cost of healthcare caused by population aging. However, the sensing technology for continuous respiratory monitoring at home is lacking. Known approaches of respiratory monitoring are based on measuring either respiratory effect, e.g. tracheal sound recording by a bio-acoustic sensor, or respiratory effort, e.g. abdomen movement measurement by a tri-axial accelerometer. This paper proposes a home respiration monitoring system using a tri-axial accelerometer. Three different methods to extract a single respiratory signal from the tri-axial data are proposed and analyzed. The performance of the methods is evaluated for various possible respiration conditions, defined by the sensor orientation and respiration-induced abdomen movement. The method based on Principal Component Analysis (PCA) performs better than selecting the best axis. The analytical approach called Full Angle shows worse results than the best axis when the gravity vector is close to one of the sensor’s axes (

Different properties of two operation modes for cruise missile borne side looking instantaneous imaging synthetic aperture radar with linear array antenna along flight track were investigated. Its theoretical azimuth resolution was induced and a novel imaging algorithm called compound range-doppler algorithm was proposed. The imaging procedure was given and images were gained with both ECS and compound range-doppler algorithm in the end. The feasibility and validity of compound range-doppler algorithm were confirmed.

Progress is reported on our cover-incident near-field recording system. In particular, recent results on 60 GB near-field readout through a 3 mum protective polymer cover-layer at a high data transfer rate are presented

The similarity of two room impulse responses (RIR) from a source to two sensors is defined and researched via a real-time room acoustic measurement system. The experimental results show that, the closer the two sensors are, the more similar the two RIRs are, and thus the fewer parameters are needed to describe the difference (DRIR) between the two RIRs. Aiming at reducing the computational complexity (CC) of audio blind signal separation (ABSS), a novel simplified mixing model is presented on a basis of the high similarity when the two sensors are very closely spaced (around 5 cm). As a result, the CC of ABSS is decreased considerably by using the DRIR instead of the two RIRs themselves. The real-time DSP experimental results demonstrate the effectiveness and feasibility of the model in ABSS applications.

A method for designing adaptive control of linear discrete TV systems is proposed. The control scheme is formed on the basis of the concept of sliding mode control. To avoid the chattering phenomenon, we use two compensation terms to replace the switching signal. Simulation results show the effectiveness of the proposed method.

A method for identifying TV systems is proposed, which is based on making use of time-variation characteristics of system parameters. By preprocessing the original system, we transform the identification for TV systems into that for piecewise TI systems. The boundedness of this algorithm is discussed and simulation results show its good tracking ability.