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Advances in Statistical Machine Translation (SMT) for breaking language barrier have been seen in recent years, and there is huge demand on cross-language dialog communication between people. In this paper we propose to leverage SMT for supporting cross-language dialog communication. Several techniques are applied to improve the performance on a dialog domain, including rescoring, system combination,...
Link prediction is an important issue in Social Network Analysis area. Most of the existing link prediction methods aim to find the missing links or to predict the future links mainly based on a static network, ignoring the evolution of the network over time. This paper proposes a link prediction method that can learn from network dynamics. Using machine learning techniques, the method models the...
Currently, some universities and colleges in Palestine use a traditional assessment method to evaluate their faculty members' performance each semester, while some use e-forms that are being evaluated manually. However, these processes are not flexible or accurate enough to give fair and non-prejudiced feedback. Moreover, it takes a long time to ensure the information quality of the data inputs as...
This paper describes the experience in the development of the course “Thermal Energy Technology” for the fourth level of the Chemical Engineering career under the Curriculum Design established by the UTN for the career and with a focus on the development of transferable skills and competencies to the future professional performance of students. Strategies were applied with an emphasis on active student...
Quality education leading to potential employment is essential for the growth of a nation. This still remains a challenge in India despite much contemporary technological advancement. It is also an evident fact that, the major hiring sectors like IT and manufacturing are facing a slow-down and hence an immediate impact on unemployment. The issue of excess of educated unemployed students must be addressed,...
A broad array of efforts have focused on multiplying student pathways to engineering, particularly for groups that have been historically underrepresented such as ethnic minorities in the United States. Among such efforts, summer programs have been a widely used mechanism to stimulate and nurture engineering identity and agency in students from a relatively young age. At a large Midwestern University...
This paper reviews a number of regional and extra-regional robotics initiatives. Each initiative was reviewed to determine different age groups of students, the goals of stakeholders involved in enabling an initiative, and the benchmarks for success of each initiative. The review has informed the design of an integrated intervention for Teacher Training initiated by the Trinidad and Tobago Ministry...
Embedded systems and Robotics are subjects that involve multi-disciplinary approaches to problem solving with an emphasis on hands-on experiments. Due to lack of infrastructure — robotics labs to execute projects, or trained teachers to mentor projects — engineering students in India do not get the benefits of hands-on experience. e-Yantra Lab Setup Initiative is designed as a scalable and sustainable...
I often hear faculty speak of students not taking responsibility. Students who do not read the assignments, miss or turn in incomplete homework, or do not actively participating in lab assignments and still expect a good grade! Simply put, more and more students are not taking responsibility for their own learning. But I don't believe that the reason is because students don't want to do so. My question...
The computer programming class is a vital part of the computer system teaching. According to the present situation and characteristic of personnel training process in some university, the paper presented some methods to improve the level of computer teaching. In order to satisfy the need of personnel training, the article described some questions in the programming class experiment teaching. At the...
Chinese monitorial System has played a certain positive role in the process of higher education increasingly popular. This paper made some investigation on its origin, its existence category, the role played in practical work. Combining with the teaching practice, the author analyzed the problem resulted from the management mode and discussed it in detail from the students' ideological work orientation,...
With the fast development of logistics industry in china, the society has a higher request of the professional skills and professional quality to the students who study at the major of logistics in high vocational college. The circumstance teaching theory and practice of china and abroad should be used for reference, the importance of circumstance teaching should be confirmed on the basis of traditional...
The higher education should be oriented by social demand and it is essential to improve knowledge application ability. The application ability of students can be developed through a variety of ways. Making use of the project team work from design, developing projects to winning national award is a kind of attempt to cultivate application ability in practice. This paper first discussed some problems...
In recent years, animation industry has occupied a large part of market of film and television and entered into the people's vision; we hope the kids like classroom as they like animation, for which the idea of combining animation and education is produced. As children with mental retardation have many difficulties in learning, we hope to delightful animation and difficult to combine learning applied...
Analyzed the secondary vocational schools in Gansu province professional backbone teachers at the provincial level in six years the situation of the training work, from training teachers' age structure, professional background, academic credentials situation and training teachers of school distribution and so on has carried on the investigation and research; Put forward the training purpose and requirements:...
Intrusion detection system (IDS) is an important component to ensure network security. In this paper we build an online Naïve Bayes classifier to discriminate normal and bad (intrusion) connections on KDD 99 dataset for network intrusion detection. The classifier starts with a small number of training examples of normal and bad classes; then, as it classifies the rest of the samples one at a time,...
This paper proposes a Network Shaped Cascade Classifier(NSCC) based on potential functions for pedestrian detection. Potential function is exploited to capture the nonlinear information in the training set based on the multiple sample centers. A flexible structure in NSCC is used to combine the base classifier and potential function into a nonlinear cascade classifier, and NSCC can well inherit the...
This paper presents a real-time human action recognition method based on a modified Deep Belief Network (DBN) model. To recognize human actions, the positions of human joints are taken into account. Each action is made of a sequence of human joint positions. Since the classic DBN cannot deal with temporal information, the proposed method employs the conditional Restricted Boltzmann Machine (cRBM)...
Vehicle Tracking and positioning in GSM networkwith greater accuracy is one of the major popular research topics of Intelligence transportation System and it pass on with the evolution of techniques and methods which enable the data processor to learn and execute activities with the help of Machine learning. Support Vector Machine (SVM) is an isolated classifier which deals with both linear and nonlinear...
The aim of this paper is to implement an effective system to locate upright frontal faces on monochromatic images with use of a neural network-based classifier. In this paper, a new approach to reduce the computation time taken by fast neural nets for the searching process is presented. The principle of divide and conquer strategy is applied through image decomposition. Each image is divided into...
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