The paper designs a kind of anti-sleeping student alarm clock with physical exercises and English learning *** electronic alarm clock is composed of a sports detection module,and English word reading module,and a cont...
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The paper designs a kind of anti-sleeping student alarm clock with physical exercises and English learning *** electronic alarm clock is composed of a sports detection module,and English word reading module,and a control *** alarm clock adopts the principle of awakening people by movement and loud speaking,which can make the students to take exercises when getting up and speak English words after the clock and thus get *** clock not only has the functions of alarm clock but also the functions of physical exercises and English learning,so it is of great practice value.
Autism Spectrum Disorders(ASDs) have severe social interaction deficits which affect their daily life very *** innovative technology is advancing,technology-based interventions gained extensive attention to teach soci...
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Autism Spectrum Disorders(ASDs) have severe social interaction deficits which affect their daily life very *** innovative technology is advancing,technology-based interventions gained extensive attention to teach social skills to the individuals who unfortunately with *** present study interviews two widely used technology-ba sed methods including computer-based program and virtual environments and tries to evaluate the potential of these methods in the *** results show that computer-based programs and virtual environments are promising tools to teach social skills for the people with ASDs,yet more and further researches are appealed.
Geometric Constraint Problem is equivalent to the problem of solving a set of nonlinear equations substantiallyThe constraint problem can be transformed to an optimization problem which the objective function and cons...
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Geometric Constraint Problem is equivalent to the problem of solving a set of nonlinear equations substantiallyThe constraint problem can be transformed to an optimization problem which the objective function and constraints are non-convex functionsThus, the solving geometric constraint includes multiple local optima in its solution spaceSo in this paper an evolutionary algorithm(ISOA)based on Immune system model and the simplex optimization method is proposed to provide solution to the Geometric Constraints ProblemIn the new algorithm, affinity calculation process and pheromone trail lying is embedded to maintain diversity and carry out the global search and the local search in many directions rather than one direction around the same individual simultaneouslyThe new algorithm different with current optimization methods in that it gets the good solution by excluding bad solutionsThe experimental results reported here will shed more light into how affects the ISOA's search power in solving Geometric constraint problem.
Mass detection is one of the main techniques for computer-aided detection or diagnosis(CAD) system in screening mammography whose detection performance directly influences the CAD system's subsequent classificatio...
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Mass detection is one of the main techniques for computer-aided detection or diagnosis(CAD) system in screening mammography whose detection performance directly influences the CAD system's subsequent classification *** this paper,a new method based on pulse coupled neural network(PCNN) and concentric morphology model is proposed for mammography mass detection,in which PCNN is first introduced to get the separated multi-layer images with humanity visual characteristics and then an improved concentric layer criteria is explored to detect different types of suspicious mass *** proposed method has been validated on standard datasets and the results show that this method can achieve satisfactory detection performance and preferable compromises between sensitivity and false positive rates.
According to the problem of energy consumption in wireless sensor network(WSN), this paper puts forward a routing optimization algorithm with quality of multi-service. Use the function of routing optimization with qua...
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According to the problem of energy consumption in wireless sensor network(WSN), this paper puts forward a routing optimization algorithm with quality of multi-service. Use the function of routing optimization with quality of multi-service and membership function of satisfaction, which integrates the energy consumption of communication and the residual and the information of time delay into the membership function of satisfaction to solve the equilibrium factor, so that it can become the optimal routing that balances the network lifetime, transmission delay of data and node energy consumption of nodes. Simulation experiment shows that adopting the algorithm can make lifecycle of nodes longer and network transmit more data packets at the same time. Experimental results verify the algorithm can effectively balance the network energy, reduce the energy consumption and prolong the network lifetime.
We have been developing a new type of visualization software called "Fusion Visualization". It allows users to fuse latest volume to legacy surface rendering. This ombination makes users enable to select the...
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We have been developing a new type of visualization software called "Fusion Visualization". It allows users to fuse latest volume to legacy surface rendering. This ombination makes users enable to select the best rendering technique according to the data size and the network speed if the data transfer is needed. This development was tarted on October 2012 as a project sponsored Japan science and Technology Agency (JST). At the first year we developed the prototype system and in the second year we implemented the technology on commercial software: AVS/Express. This paper describes the performance of the system in a case of applying to unstructured data.
This paper presents modelling techniques for Lithium Iron Phosphate（LiFePO） battery in an electric vehicleArtificial intelligence techniques namely multi-layered perceptron neural network（MLPNN） and Elman recurren...
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This paper presents modelling techniques for Lithium Iron Phosphate（LiFePO） battery in an electric vehicleArtificial intelligence techniques namely multi-layered perceptron neural network（MLPNN） and Elman recurrent neural network are devised to estimate the energy remained in the battery bank which referred to state of charge（SOC）The New European Driving Cycle（NEDC） test data is used to excite the cells in driving cycle-based conditions under varied temperature range[0-55]CAccurate SOC prediction is a key function for satisfactory implementation of Battery Supervisory system（BSS）It is demonstrated that artificial intelligence methods can be effectively used with highly accurate resultsThe accuracy of the modeling results is demonstrated through validation and correlation tests
We study the vulnerability in domain name system, so called as "Ghost domain names", which is discovered by Jiang, Liang, Li, Li, Duan and Wu in NDSS 2012. The ghost domain vulnerability allows a malicious d...
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We study the vulnerability in domain name system, so called as "Ghost domain names", which is discovered by Jiang, Liang, Li, Li, Duan and Wu in NDSS 2012. The ghost domain vulnerability allows a malicious domain name to stay resolvable long after it has been removed form the upper level server. Our study examines the feasibility of the ghost domain vulnerability still active and clarifies the latest status of the attack based on the experimental results on open DNS servers.
We design an equipment to measure the atmospheric aerosol *** mainly includesthe optic system,an optoelectroniccollection,a microscopic CCD,and an image processing *** an important and novel part,the microscopicCCD is...
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We design an equipment to measure the atmospheric aerosol *** mainly includesthe optic system,an optoelectroniccollection,a microscopic CCD,and an image processing *** an important and novel part,the microscopicCCD is combined with battery of lens to acquire theimages of the diffractive particles and it can detect the particles of 0.98um ***,the microscopic CCD provides real-time two-dimensional images and makes our equipmenthavingprice ***,we develop a program to control the whole equipment,on which thedata acquirement,the image processing and the granularity measurement can be performedconveniently.
In order to make an accurate detection for flight delays, an immune detecting model for arrival and departure flights delay of airdrome based on Gaussian distribution was proposed in the paper. For the similarity of t...
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In order to make an accurate detection for flight delays, an immune detecting model for arrival and departure flights delay of airdrome based on Gaussian distribution was proposed in the paper. For the similarity of the immune system and flights operational mechanism, the model defined the set of "Self", detecting cells and the matching ways of them. And because a plane has to finish several flights in one day, there is a preorder-successor relation in arrival and departure flights and concerning the whole delay-state of the airport, adopted Double-layers Markov Model to simulate the propagation chain of flight delays. The experiment on a domestic airport shows the method make better results.
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