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With the development of digital technology, libraries are changing their roles from book providers to e-information providers. Manuscripts are primary source of historic information. Manuscripts are diminishing along with the time. Despite their best efforts, it is difficult to save manuscripts in physical form beyond a time frame. Digital preservation of manuscripts restores it from damage, larceny...
This paper documents the research and development of a standard based curriculum for information literacy enhancement at elementary schools in the Northern region of Thailand. The exercise is part of a PhD study project that aims to determine both the learning standard and the indicators of information literacy in elementary schools in Thailand. Further, the project evaluates the attitude of the elementary...
Building digital library applications is often a search for an applicable and adequate data or document model as well as for software tools which meets the requirements. Especially in digital archives, there are several data and document models to be considered. Unfortunately, there is no one-size-fits-all document model or system. For each application, the requirements and properties of a project...
This research paper aimed at analyzing 1) the concept of information literacy in the 2008 Basic Education Core Curriculum of Thailand; 2) the teaching and learning of information literacy in basic education; and 3) the roles of teacher-librarians in the development of information literacy in basic education. Documentary research mainly the 2008 Basic Education Core Curriculum and related research...
During cardiopulmonary resuscitation feedback systems can help rescuers to achieve optimal chest compression rates. In this paper we describe and compare two methods to provide chest compression rate feedback based only on the thoracic impedance signal, available in automatic external defibrillators. The first method (time domain) identified the relative maxima of the impedance and characterized each...
Changes in P wave duration (PWD) following atrial fibrillation (AF) ablation have been described and may have diagnostic value. PWD is usually assessed manually from ECG. This study aimed at exploring a novel method for automated modeling of the P-wave and assessment of PWD. Moreover, it aimed at investigating the effect of hybrid procedure (HP) for AF treatment on PWD. P-wave modeling is achieved...
The introduction of IPv6 has opened up several questions with reference to its adaption and transition from IPv4 to IPv6 and is one of the crucial issues being frequently discussed in networking community today. IPv6 provides many seamless features that makes it far better protocol as compared to its predecessor IPv4. It is a well-known fact that IPv4 is a defacto standard at present and is currently...
Counterfeit coin problem has been considered for a very long time and is a topic of great significance in Mathematics as well as in Computer Science. In this problem, out of« given coins, two or more false coins (the coins are classified as false because their weights are different when compared to a standard coin) are present which have the same appearance as the other coins. This problem belongs...
Identifying the parameters of a model such that it best fits an observed set of data points is fundamental to the majority of problems in computer vision. This task is particularly demanding when portions of the data has been corrupted by gross outliers, measurements that are not explained by the assumed distributions. In this paper we present a novel method that uses the Least Quantile of Squares...
In current era, most of the information is captured using multimedia techniques. Most used methods for information capturing is through images and videos. In processing a video, large information needs to be processed and a number of frames could contain similar information which could cause unnecessary delay in gathering the required information. Video summarization can speed up video processing...
A novel incremental meta-cognitive-based Scaffolding algorithm is proposed in this paper crafted in a recurrent network based on fuzzy inference system termed recurrent classifier (rClass). rClass features a synergy between schema and scaffolding theories in the how-to-learn part, which constitute prominent learning theories of the cognitive psychology. In what-to-learn component, rClass amalgamates...
Relational data classification is the problem of predicting a class label of a target entity given information about features of the entity, of the related entities, or neighbors, and of the links. This paper compares two fundamental approaches to relational classification: aggregating the features of entities related to a target instance, or aggregating the probabilistic predictions based on the...
Deafblind and hearing impaired persons cannot perceive their own voice pitch, and thus have difficulty controlling it. While singing, the voice pitch needs to be controlled to maintain a stable tone. To address this problem, a tactile voice pitch control system was developed to assist such people in singing. In a previous study, two deafblind subjects used the proposed system to control their voice...
This paper develops an analytical model for analyzing the access performance of the IEEE 802.11p EDCA mechanism. A 2-D Markov chain is first constructed to describe the backoff procedure of an AC queue and establish a relationship between the transmission probability and collision probability of the AC queue. Then a 1-D infinite discrete-time Markov chain is constructed to describe the contention...
In recent years, the number of students who enrolled in the course of Introduction to Information Technology at Mae Fah Luang University, Chiang Rai, Thailand is getting larger and larger. This causes the excessive teaching loads for all limited number of instructors who take responsibility of this course. It also causes some problem on study resources, such as the limited number of laboratories/classrooms...
We consider the problem of joining two long time series based on their most correlated segments. Two time series can be joined at any locations and for arbitrary length. Such join locations and length provide useful knowledge about the synchrony of the two time series and have applications in many domains including environmental monitoring, patient monitoring and power monitoring. However, join on...
Traditional research into the arts has almost always been based around the subjective judgment of human critics. The use of data mining tools to understand art has great promise as it is objective and operational. We investigate the distribution of music from around the world: geographical ethnomusicology. We cast the problem as training a machine learning program to predict the geographical origin...
Due to its important applications in data mining, many techniques have been developed for clustering. For today's real-world databases which typically have millions of items with many thousands of fields, resulting in datasets that range in size into terabytes, many traditional clustering techniques have more and more restricted capabilities and novel approaches that are computationally efficient...
The spectral radius of a network graph is the largest Eigen value of the adjacency matrix of the graph. We hypothesize the spectral radius to be a measure of the variation in the degrees of the nodes. In this pursuit, we define a metric called the spectral radius ratio for node degree as the ratio of the spectral radius to the average node degree. We validate our hypothesis by determining this metric...
Meta-data is a kind of data which can be used to describe and locate resources. The paper has investigated the meta-data and put up with the framework architecture of a semantic meta-data based on ontology. A semantic ontology library for Beijing Opera is built in this paper, and gets the conclusion that it is feasible to describing with semantic meta-data based on ontology.
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