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The Malaysian education system is now focusing on the Technical and Vocational Education and Training (TVET) as the Government is now concentrating on minimizing the number of job finders. TVET program is a good initiative to promote high-skilled workers. In order to achieve this aim, the trainer or TVET teachers need to be equipped with skill and knowledge on specific field. Thus, this paper investigates...
Touchscreen assistive learning numeracy application (TaLNA) is a touchscreen learning based application design for Children with Autism. TaLNA has been developed based on the concept of Applied Behaviour Analysis (ABA) called discrete trial training (DTT). This app will be used by teachers and instructors as a platform to facilitate children with autism on learning basic numeracy development in special...
Outlier detection is the task of automatic identification of unknown data not covered by training data (e.g. a previously unknown class in classification). We explore outlier detection in the presence of hubs and anti-hubs, i.e. data objects which appear to be either very close or very far from most other data due to a problem of measuring distances in high dimensions. We compare a classic distance...
A number of important applied problems in engineering, finance and medicine can be formulated as a problem of anomaly detection. A classical approach to the problem is to describe a normal state using a one-class support vector machine. Then to detect anomalies we quantify a distance from a new observation to the constructed description of the normal class. In this paper we present a new approach...
Considering the fact that the underlying structural information in the training data within classes is vital for a good classifier in real-world classification problems, Structural Nonparallel Support Vector Machine (or SNPSVM, for short) has been proposed. By combining the structural information with nonparallel support vector machine (NPSVM), SNPSVM can fully exploit prior knowledge to directly...
The engineering program accreditation criterion requires an effective course outcome (CO) and program outcome (PO) assessment procedure. To achieve this, an efficient method to estimate student’s performance through various assessment tools is required. Many engineering institutes make use of class tests, assignments and final exam as the direct assessment tools for judging the student’s knowledge...
This work studies the effectiveness of providing training in LATEX to about 200 people through the self learning approach of Spoken Tutorials. In this silent workshop, no lectures were delivered and doubts were cleared through a timed online QnA forum. Through performance and perception studies conducted during the workshop and eight months after, we conclude that the participants have learnt to use...
Deep learning models have showed great potential in classification and recognition over the last decade. Deep Belief Networks (DBNs) have been applied in visual, voice fields due to their great feature presentation capability. However, there are a vast number of time consuming calculations in the training of DBNs. Many researches have accelerated the training of DBNs with good speedups on CPU, GPU,...
The study of compound-target binding profiles has been a central theme in cheminformatics. For data repositories that only provide positive binding profiles, a popular assumption is all unreported profiles are negative. In this paper, we caution audience not to take such assumption for granted. Under a problem setting where binding profiles are used as features to train predictive models, we present...
We describe an emerging application of data mining in the context of computer networks. This application concerns the problem of predicting the size of a flow and detecting elephant flows (very large flows). Flow size is a very important statistic that can be used to improve routing, load balancing and scheduling in computer networks. Flow size prediction is particularly challenging since flow patterns...
In this paper, we try to make an author identification of two ancient Arabic religious books dating from the 6th century: The holy Quran and the Hadith. The authorship identification process is achieved through four phases which are: documents collection, text preprocessing, features extraction and classification model building. Thus, two series of experiments are undergone and commented. The first...
The research aims to design and implement an automatic speech recognition and synthesis system. A TMS320C6713 DSK Board manufactured by Texas Instrument (TI) is adopted as the system operation platform to support independent development, and the MATLAB software is adopted as the operation platform of the speech synthesis system. Moreover, the two platforms are integrated by a human machine interface...
Patents constitute one of the most challenging domains for machine translation because patent sentences can be quite long with complex structures. This paper presents a hierarchical reordering method based on three-level parsing for Chinese-English patent MT. After integrating into a Phrase based SMT system, our method improves the BLEU score by 1.92. There are also improvements in NIST and METEOR...
In this paper, a self-constructing neuro-fuzzy (SCNF) classifier optimized by swarm intelligence technique is proposed for breast cancer diagnosis. The first step in the design is the definition of the fuzzy network structure. Accordingly, a rule generation approach with self-constructing property is proposed. Based on similarity measures, the given input-output patterns are organized into clusters...
the goal of implementation for ERP systems are improving performance business process and achieve work more efficiency and productivity. The ERP systems as basic to consider evaluating performance achievement as a tool for analyzing, evaluating and support decision making. In the reality, the managers have problems using ERP systems to making decisions and ultimately improve the synchronization of...
This study aimed to support the effectiveness and efficiency of employee performance in the Provincial Education Office (Dinas Pendidikan) regarding teacher placements in elementary school, middle school, and high school. Three provinces are chosen as samples: Bali, Yogyakarta, and DKI Jakarta. The employee performance assessment was conducted using criteria and weight calculation regarding teacher's...
For the goal of zero disaster in construction, this study will get "Service Experience Engineering to innovative service model. As the theme of safety training in construction, it will complement by context-aware environment under the construction safety of "iWork" App Cloud Service to design the recommendation with working safety training, and then continue to explore the relevance...
The quality of Chinese-speaking tour guides is a crucial indicator of Taiwan's tourism development. Because the Delphi method features the advantages of both discussions and traditional questionnaire surveys and ensures the anonymity of questionnaire respondents, this study adopted this method to investigate the preservice training of tour guides as well as categorize and compare subjects included...
In design education, basic design course has been taught as a fundamental course for years, which concentrates on skills using basic form elements (dots, lines and surfaces) and CMF ingredients (colors, materials and textures). Despite the fast-changing environments in the last hundred years, almost no one in the field of design education has ever challenged/ questioned the suitability of conventional...
This work describes the Dynse framework, which uses dynamic selection of classifiers to deal with concept drift. Basically, classifiers trained on new supervised batches available over time are add to a pool, from which is elected a custom ensemble for each test instance during the classification time. The Dynse framework is highly customizable, and can be adapted to use any method for dynamic selection...
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