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Deep Neural Networks have become a state of the art approach in perception processing like speech recognition, image processing and natural language processing. Many state of the art benchmarks for these algorithms are using deep learning techniques. The deep neural networks in today's applications need to process very large amount of data. Different approaches have been proposed to solve scaling...
In recent years, computer system capability training becomes an important research issue for teaching reforms of computer major. This paper propose a new system ability training scheme via analyzing the existing reform methods. By establishing core courses and optimizing experimental teaching system, our reform completes the teaching target that let undergraduate students to develop a CPU, an operating...
In this paper, we discuss a classification method of nursing-care texts using the word2vec [1]. The word2vec is a tool which provides the continuous bag-of-words and skip-gram implementations for realizing word vectors. We have tackled to classify nursing-care texts, which are freestyle Japanese texts, for improving nursing quality in several years. Several machine learning methods have been used...
The earlier remote password authentication schemes required a service providing server to authenticate a legitimate user for remote login. However, the traditional schemes are not useful in multi-server architecture because of multiple user ids and passwords. In this paper, we present a remote password authentication scheme for multi-server architecture that can be robust and improved network security...
The automated formation of the interactive task for the computer aided training means is studied in the article. This problem is of current importance since there is a necessity to create an instrumental tool that would give an opportunity to realize different types of the testing and training tasks on basis of the interactive technologies in the modern stage of the computer training system development...
Object recognition system is divided into two parts namely, feature extraction and classification. Feature Extraction part consists of rotation, translation and scale invariant features. Recognition part consists of fuzzy min-max neural network with compensatory neuron architecture (FMCN). MPEG7 shape database is used for experimentation. The performance of FMCN is compared with fuzzy min-max neural...
In this paper, a novel formalized teaching method is presented for encouraging excellence in undergraduate student performance. This approach is a modified implementation of the teaching method used at the Naval Nuclear Power Training Command, which was made more appropriate for civilian engineering undergraduate students. The objective of this method is to prepare students academically, creatively,...
The aim of this paper is to show that an accurate and efficient text classifier for relatively simple problem domains can be created in only a few hours of development time. The motivating example discussed in the paper is a recent HackerRank competition problem that tasked competitors with creating a classifier for questions from the popular question and answer platform StackExchange. The paper describes...
As a newly designed major course in the direction of the "Information Technology", the "Computer System Platform" course involves comprehensive contents including computer hardware platforms, software platforms, operating platforms and also application platforms. Thus, it is difficult for students to learn this course since it covers a wide range several of knowledge. Hence, in...
We propose the Architecture for Representations, Games, Interactions, and Learning among Experts (ARGILE) for participatory and knowledge — intensive serious games. Faced with the problem of training in the areas of advanced expertise and practices, reference knowledge is neither stabilized nor unanimous, but rather dynamic and continuously evolving. Moreover, the expert does not make decisions based...
Humans are very capable of solving many scientific and engineering problems, but during the solution process they have a tendency to make mistakes. For example, humans without computer aided tools, would not be able to design VLSI chips larger than 100 transistors. This imperfection of humans make them very unreliable elements in resilient control systems. There is a tendency of replacing humans with...
Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult. We present an unsupervised neural network solution which compares favorably with other methods. The system combines local image sampling, a self-organizing map neural network. In this process, the images for the different persons will be scanned and it will be...
Computer Support Collaborative Work (CSCW) leads to many changes in the field of education and training. Aim at the problems of high expense, fixed training sites, restricted trainee number or time that existed in the widely used simulation system for using it to execute training in the field of education and training, the paper researched on the construction of Virtual Collaborative Training Environment...
In this paper we present a new approach for evolving an optimized neural network architecture for a three layer feedforward neural network with a mutation based genetic algorithm. In this study we will optimize the weights and the network architecture simultaneously through a new presentation for the three layer feedforward neural network. The goal of the method is to find the optimal number of neurons...
According to in-situ cases of the course "computer organization principles", this paper puts forwards several reform proposals combined hardware-teaching features: Focusing on the importance and objectives of the course; Dynamically deleting or adding related teaching content such as the new multicore technology and theory; Paying more attention to three-layer experimental system links;...
Experiments play an indispensable role in cultivating the innovative and practical skills of the students. This paper describes our multi-level and modulized experimental teaching architecture for computer engineering, and its way of implementation. We focus on the cultivation of students' creative and comprehensive abilities. Students from our university have kept receiving honors in national and...
As an active aspect in the practice and development of Educational Technology, Education Resource platform is becoming the new growing point. The paper analyzed the problem emerged in current education resource sharing and network, which show a frame Education Resource Grid for Training and Coaching.
In the area of technology enhanced music training, cooperative work is becoming an increasingly demanding concept. It can be used to exploit new modalities of training and to reduce the set up time necessary for the organization of groups and class rooms - integrating distributed systems for audio-visual processing and general control (e.g., synchronous playback, recording, monitoring progresses)...
In this paper, we applied theme-based learning model to web-based human resource management (HRM) curriculum distance training, which aims to cultivate learners' ability of knowledge integration by giving the learners the opportunities to select the learning topics in HRM that they are interested, and gain knowledge on the specific topics by surfing on the Internet to search related learning courseware...
At present there are many methods that could deal well with frontal view face recognition when there is sufficient number of representative training samples. There into, subspace learning method such as principal component analysis (PCA), independent component analysis (ICA), linear discriminant analysis (LDA) are a very hot research topic in this field. However, in some face recognition system, the...
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