The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The result purity of traditional LDA (Latent Dirichlet Allocation) is uninterpretable because it is always difficult to summarize the meaning of each LDA result topic which contains multiple irrelevant words. To solve the problem, a method of optimizing LDA result purity based on semantic similarity in streaming news processing is proposed. In this method, the Category Cluster Density (CCD) of each...
Many Android researches which focus on clone Android applications (or apps) and third-party libraries are both related to detect similar components between apps or between app and third-party library. We conclude a set of stable features of a class which will not change during obfuscation through studying the app's bytecode and ProGuard, the most popular obfuscator used in Android development. Based...
In this paper, predictive control algorithm is described in detail and the ANFIS(Adaptive neuro fuzzy inference system) is introduced. The fuzzy model is built by ANFIS. Fuzzy model and predictive control is combined to form a predictive control based on fuzzy model which is used to complex system with time delay. For example, as system of three-water tanks. First, using matlab software, we established...
The batch-mode group lasso algorithms suffer from the inefficiency and poor scalability, and online learning algorithms for group lasso, is a promising tool for attacking the large-scale problem. However, the low time complexity of current online algorithm often be accompanied by low convergence rate, and the faster convergence rate is a key problem to guarantee the online learning algorithms. We...
GA (genetic algorithm) approach suitable for solving multi-objective optimization problems is described and evaluated using a series of simple model problems. The GA optimization procedure converged to the global pare to front optimum for every case attempted, GA is able to find the global optimum results. This incentive extracting the data to the maximum extend possible to help designers to further...
The Response surface methodology provides a way to engineering optimization problems of the turbomachinery. Using a prototypical Artificial Neural Networks (ANN) problem, turbomachinery aerodynamic optimization can improve the efficiency and performance. This study explores the approximation of the turbomachinery objective function which has a significant impact on the accuracy and effectiveness of...
Aviation project which always involves too many resources need to do resource leveling for enhancing the utilization of resources so as to reducing project cost. Intelligent optimization algorithms and heuristic approaches are inefficient and inflexible when solving large-scale aviation resource leveling problems. A hybrid algorithm based on Artificial Immune Algorithm (AIA) and Ant Colony Optimization...
Fluorine plasma ion implantation is a robust technique that enables shallow implantation of fluorine ions into group III-nitride epitaxial structures. This technique has been used to achieve robust threshold control of the AlGaN/GaN high electron mobility transistors (HEMTs) and led to the realization of self-aligned enhancement-mode devices. To reveal the atomic scale interactions and provide a modeling...
This article describes a new method which we have used for computing matrix-vector products. Matrix-vector multiplication is the core of black-box algorithm, which is effective when we analyze the properties of sparse or structured matrix. Hence it is very useful to optimize the calculation. Here we design an algorithm for large-sized sparse zero-one matrix-vector products based on the theory of cache,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.