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The NATO Network-Enabled Capabilities concept (NNEC) enables NATO to maximize the sharing of information and services in a wide variety of missions, characterized by a a-priori uncertainty about the mission service requirements, partner composition and command and control structures. NNEC guidance and principles are well documented in the NNEC framework and the NNEC Body of Knowledge (BoK). Experience...
The paper tries to propose objectively existing hierarchy of control levels in Central Nervous System(CNS), based on already accomplished medical research results on Homo sapiens, i. e. Homo sapiens - sapiens CNS as well as the theory of control and the science of neural networks. Human CNS has been vague until 60 years ago. Although, there were intensive researches in the last 30 years worldwide,...
This paper proposes a new face detection method, combining AdaBoost algorithm and neural networks (NN). First, do a pretreatment of the human face image; then NN trains a series of weak classifiers, finally AdaBoost algorithm improves the accuracy of weak classifiers to achieve face detection. The experimental results show that AdaBoost-NN algorithm has better robustness and higher recognition rate,...
The method using hierarchical clustering classify blouses and human somatatype into different categories. And then using BP algorithm of ANN to simulate the pattern master's experience and technique is proposed and used in the flat pattern design of blouses. This method realizes intelligence formation of size for blouse based on effective anthropometric measurements. The Experimental results show...
A new no-reference image quality metric is proposed to estimate the quality of watermarked images automatically based on fuzzy neural network. The aim is to use fuzzy neural network to learn the highly nonlinear relationship between the fuzzy similarity measures and the subjective quality rating, known as the mean opinion score (MOS) obtained from human viewers. In fact, our metric consists of four...
In water management systems, accurate rainfall forecasting is indispensable for operation and management of reservoir, and flooding prevention because it can provide an extension of lead-time of the flow forecasting. In general, time series prediction has been widely applied to predict rainfall data. The conventional time series prediction models or artificial neural networks can be used to perform...
This paper presents the design and evaluation of a full AI controller for Real-Time Strategy (RTS) games using techniques from Evolutionary Computing (EC). The design is novel in its use of a modified Pareto Differential Evolution (PDE) algorithm for bi-objective optimization of the weights of an Artificial Neural Network (ANN) controller when only single-objective optimization has so far been studied...
In a sudden natural disaster, a large number of people may get detained within a hazardous space. In recent years, the number of such incidents has increased in China, which motivates the research of artificial intelligence-based simulations of emergency rescue and evacuation. This paper proposesam ethodological approach that combined with ant colony optimization and Cellular automata integrating...
This paper focused on unique concept of extracting the gait features of walking human from sequences of silhouette images for recognition purpose. Discrete Cosine Transform (DCT) was evaluated as feature extraction solely followed by combination with Principal Component Analysis (PCA) as feature selection. Then, the entire feature vectors that were extracted are used as input to classify using artificial...
Brain signals are widely used for diagnosing epilepsy disease. The objective of this study is to design an automated system for differentiating epileptic EEG signals from non epileptic ones. The EEG signals used in the study comprise both healthy and epileptic signals which have been taken from patients during seizure. The signals were analyzed in phase space by means of Lyapunov exponent and wavelet...
Gender classification via model-based human gait data is still immature. Hence in this research, the possibility of side view human gait silhouette to be used as gender recognition is evaluated using model-based approach. Firstly, six attributes located at lower part of human gait specifically from below waist onwards have been identified as the significant points are skeletonized based on the human...
A significant number of elders live with memory impairment issues, as a result of the normal aging process. Therefore various kinds of supporting systems have been developed to help the elders, who have mild memory problems. In this paper we propose a Smart Reminder System for reminding forgotten complex activities, in home environment. Subjected complex activities are the activities, which should...
Plastics are used in a truly vast number of applications, and research is continously carried out to improve every aspect of the plastics industry. A recent study of laser transmission welding [1] required cross-sectional images of the weld's microstructure to be analyzed for the presence of pores, which are tiny bubbles that may form during the weld process. It is believed that the number and size...
We developed an integrated inter-building physical and human network model to predict the energy conservation for an assumed urban residential block. We utilized an Artificial Neural Network to predict hourly energy consumption in both the first physical and second human stage. In the first stage, simulated data were exported from EnergyPlus, and the optimal scenario was found to consume 12.28% less...
In spite of the recent development of computational methods for human promoter prediction, the prediction performance still needs improvement. In particular, the high false positive rate of the traditional approaches decreases the prediction reliability and leads to erroneous results in gene annotation. To improve the prediction accuracy and reliability, a DNA numerical representation and neural network...
In this paper, a robust regression method is proposed for human age estimation, in which, outlier samples are corrected by their neighbors, through asymptotically increasing the correlation coefficients between the desired distances and the distances of sample labels. As another extension, we adopt a nonlinear distance function and approximate it by neural network. For fair comparison, we also experiment...
Signal transduction pathways control cellular responses to stimuli, but it is unclear how molecular information is processed as a network. Large-scale collection and systematization of such data is likely to have a great impact on cell biology as complete genome sequencing has had on genetics. Cell signaling pathways interact with one another to form networks. Such networks are complex in their organization...
This paper demonstrates the research results obtained for the application of Differential Evolution (DE) algorithm in a well known real time strategy game, namely Warcraft 3. The DE algorithm is one of the global optimizers that commonly used in solving real-time problems. In this work, the DE algorithm is combined with the conventional feed-forward artificial neural network in optimizing the solutions...
Automated chromosome classification has been an important pattern recognition problem for decades. Numerous attempts were made in this area. Artificial neural networks (ANN) is ideal for this task, because it allows application of expert knowledge and experience through network training. A large number of different feature based and pixel value distribution based ANNs have been tested and evaluated...
According to the characteristics of hospital knowledge management, construct the hospital knowledge management performance evaluation system. The index system includes four first level indexes (organizational structure capital, human capital, technology capital, and knowledge systems) and 12 secondary level indexes. Ascertain the weight of Fuzzy Comprehensive Evaluation by using the neural network...
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