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This paper proposes methods for computational identification of the tonic and scale in Persian audio musical signals. The chroma, a simplified spectrum is taken as the feature set and Bit-masking and Manhattan distance are used as the classifiers. The results are applicable to various musical traditions in the Mediterranean and the Near East. This approach enables content-based analysis of, and content-based...
Teamwork has been considered as an important learning outcome for engineering graduates. A pilot study on teamwork training was conducted in a joint degree programme between a leading British university and a top Chinese university in 2011. A supplementary experiment in the module "Personal Development Plan" was carried out using a large sample (624 students) to compare different methods...
Written communication skills among engineers are critical to their career development. Unfortunately, students often have limited opportunity to hone these skills. The authors have been developing a process built upon the principles of knowledge transfer whereby non-technical peer writing tutors are trained to provide feedback to engineering students. The tutors learn to employ concepts of persuasion...
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...
Most large companies have adopted CMMI in order to improve software quality, reduce the budget, and have customer satisfaction. But since the advent of agile methods, companies are looking to integrate these methods for software development. To adopt these methods in the project we need to know if they cover a part of CMMI. In this paper we present the CMMI model and Scrum XP and Kanban methods, than...
Feature selection and classification are important tasks in medical data mining. However, different misclassifications of medical cases could lead to different losses. This paper proposes a framework for medical data classification and relevant feature selection by the combination of the trace ratio criterion and a novel cost-sensitive linear discriminant analysis classifier approach. The proposed...
Media types in heterogeneous source are usually represented in different dimensions; this makes cross-media retrieval hard to process. In this paper, we utilize a new domain adaptation to solve Heterogeneous domain adaptation (HDA) problem in cross-media retrieval using Heterogeneous Feature Augmentation (HFA). First, different dimensions of features are transformed into a common subspace by learning...
Feature selection is important phase in machine learning and in the case of multi-label classification, it can be considerably challenging. In like manner, finding the best subset of good features is involved and difficult when the dataset has significantly large number of features (more than a thousand). In this paper we address the problem of feature selection for multi-label classification with...
In this paper, an automatic visual inspection method based on supervised machine learning is proposed to assist rapid on-site evaluation (ROSE) for endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) biopsy. The aim of this method is to learn relations between content of cellular tissue including tumor cells and aspect of specimen image removed by the needle aspiration. For this purpose,...
Intelligent recognition of fighter's maneuver is critical in pilots' simulated training. In order to enhance intelligent recognition of the maneuver, a method of intelligent recognition of fighter's maneuver which is based on fuzzy control theory is proposed. The method uses smoothing, marking data node, removing small perturbations, feature extraction and so on. It solves problems such as inaccurate...
The use of an artificial replica of a biometric characteristic in an attempt to circumvent a system is an example of a biometric presentation attack. Liveness detection is one of the proposed countermeasures, and has been widely implemented in fingerprint and iris recognition systems in recent years to reduce the consequences of spoof attacks. The goal for the Liveness Detection (LivDet) competitions...
This paper describes an acquisition system which has been used to demonstrate the usefulness of problem-based pedagogy. This system was based on a high-performance microcontroller, an integrated temperature and humidity sensor and real-time data hard drive storage functionality. According to the characteristic analysis method, this paper illustrated the benefits of sensor network optimization by applying...
Recently, with the increasingly popularity of microblog, all sorts of people release and get information through the microblog. They gain the convenience in their lives at the same time Inevitably facing more kinds of rumor. For the influence forwarding behaviors of users have on spread of news, research based on forwarding behaviors of users has significant importance to interest recommendation,...
The National Institution for Academic Degrees and University Evaluation (NIAD-UE) is engaged in awarding of academic degrees based on the accumulation of applicant's earned academic credits. These credits must be classified according to the contents of syllabuses and pre-determined criteria for the chosen disciplinary field. This course classification is carried out by the sub-committees whose members...
The development of information flow has a major impact on communication, new multimedia technology has develop with incredible speed. For example the Internet has doubled the number of users and services every year since 1988. This is possible due to the fact that it has become less expensive to use and easily accessible. With the help of information and communication technology higher education institutes...
In this paper we consider the problem of the pose variance in face recognition. In practice, the face images we get usually have different poses; however the number of training sample is limited, so the sparse representation based classification (SRC) for face recognition cannot work well. For the purpose of expending the sample size, a 3D face modal based image synthesis method is adopted. Experiments...
Subject contest is one of the important means to cultivate the ability of “creativity, innovation, and entrepreneurship”, the engineering practice ability and the comprehensive quality for students. At the same time, it plays an important role in cultivating the students' comprehensive quality of learning awareness, autonomous learning ability, scientific spirit, cooperation consciousness, team spirit,...
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...
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