Pusadee Seresangtakul

A generative model of fundamental frequency contours for polysyllabic words of Thai tones

Thai speech synthesis by rule has been developed using cepstral parameters. To synthesize F/sub 0/ contours of Thai tones, the generative model of F/sub 0/ contours (Fujisakis model) for tonal languages is applied. Along with our method, the pitch contours of Thai disyllabic words were analyzed. Based on the analysis of Thai polysyllabic words using this model, rules are derived to synthesize Thai disyllabic words, which we then applied. We performed listening tests to evaluate intelligibility of the model for Thai tone generation. The correct rates were 95% and 99% for no-meaning words and meaning words, respectively. The generative model of F/sub 0/ contours for Thai words was shown to be effective.

ESAP plus: a web-based server for EST-SSR marker development

BackgroundSimple sequence repeats (SSRs) have become widely used as molecular markers in plant genetic studies due to their abundance, high allelic variation at each locus and simplicity to analyze using conventional PCR amplification. To study plants with unknown genome sequence, SSR markers from Expressed Sequence Tags (ESTs), which can be obtained from the plant mRNA (converted to cDNA), must be utilized. With the advent of high-throughput sequencing technology, huge EST sequence data have been generated and are now accessible from many public databases. However, SSR marker identification from a large in-house or public EST collection requires a computational pipeline that makes use of several standard bioinformatic tools to design high quality EST-SSR primers. Some of these computational tools are not users friendly and must be tightly integrated with reference genomic databases.ResultsA web-based bioinformatic pipeline, called EST Analysis Pipeline Plus (ESAP Plus), was constructed for assisting researchers to develop SSR markers from a large EST collection. ESAP Plus incorporates several bioinformatic scripts and some useful standard software tools necessary for the four main procedures of EST-SSR marker development, namely 1) pre-processing, 2) clustering and assembly, 3) SSR mining and 4) SSR primer design. The proposed pipeline also provides two alternative steps for reducing EST redundancy and identifying SSR loci. Using public sugarcane ESTs, ESAP Plus automatically executed the aforementioned computational pipeline via a simple web user interface, which was implemented using standard PHP, HTML, CSS and Java scripts. With ESAP Plus, users can upload raw EST data and choose various filtering options and parameters to analyze each of the four main procedures through this web interface. All input EST data and their predicted SSR results will be stored in the ESAP Plus MySQL database. Users will be notified via e-mail when the automatic process is completed and they can download all the results through the web interface.ConclusionsESAP Plus is a comprehensive and convenient web-based bioinformatic tool for SSR marker development. ESAP Plus offers all necessary EST-SSR development processes with various adjustable options that users can easily use to identify SSR markers from a large EST collection. With familiar web interface, users can upload the raw EST using the data submission page and visualize/download the corresponding EST-SSR information from within ESAP Plus. ESAP Plus can handle considerably large EST datasets. This EST-SSR discovery tool can be accessed directly from: http://gbp.kku.ac.th/esap_plus/.

Isarn Dharma Alphabets lexicon for natural language processing

Lexicon is a collection of individual words in the language, which is essential for NLP (Natural Language Processing) research such as machine translation, word segmentation and speech processing. According to the computerize system applying to Isarn Dharma Alphabets, this research aims to collect important features to support research in natural language and speech processing field. In the study, Isarn Dharma Alphabets lexicon using Trie structure was constructed. The lexicon consists of Isarn Dharma Alphabets words, Thai words, English words, phonemes, parts of speech, sub-parts of speech, special characteristics, Thai descriptions, and English descriptions. The lexicon contains approximately 8,000 words. Moreover, Isarn Dharma Alphabets transcription system has been proposed based on linguistic rules.

An approach to Lao-English rule based machine translation

This paper presents an approach to Lao-English rule based machine translation. In our approach, we start by modifying the Lao word segmented algorithm to mark the name entities part, which will be reordered according to its type later. Then, using the transfer-based strategy, the sentence is analyzed to build the source dependency structure, which is then transferred to the target dependency structure. The target text is then generated according to its attribute information. The machine translation performance obtained from the proposed method, in BLEU, METEOR, ROUGE-L, was 0.5920, 0.5482 and 0.8586, respectively. These results are better than those achieved by Google Translate.

Thai finger-spelling sign language recognition using global and local features with SVM

This paper presents a finger-spelling recognition system focusing on Thai finger-spelling sign language, derived from the computer vision, using SVM. In this study, global and local features were extracted from input finger images. In order to develop the recognition system, 15 Thai alphabet characters were collected from five hand signers, totally 375 character pictures, in order to train the system using the SVM technique; with linear, polynomial, RBF, and sigmoid kernels. Each kernel method employed three feature vectors extracted from global features, local features, and the combination of both features; and were measured for performance in 4 SVM kernels, with five-fold cross-validation. The experimental results demonstrated that the combination of global and local features applied in RBF, linear, polynomial, and sigmoid resulted in the average accuracies of 91.20%, 86.40%, 80.00%, and 54.67%, respectively. The RBF method with the combination of global and local features provided the highest accuracy among all combinations.

Fit Buddy: A Mobile Application for Fitness Tracking Using the Always-On Low-Power Sensor

This paper presents an always-on and always accessible mobile application, namely Fit Buddy, which will help users track their personal fitness statistics. The application focuses on step counting from both walking and running using a smartphone. The Fit Buddy can be linked to a user’s social media account and rank the user’s fitness data compared with those of friends who are on the same social network. By utilizing SensorCore data from a smartphone, user’s daily steps, active time and location can be tracked and recorded without the need for human interaction because of the always-on aspect of the application. Users also have immediate access to the history data. The Fit Buddy makes personalized daily goals easier to commit and achieve. It gives the users a simple and effective method of motivation to do more exercise.

Isarn Dharma Alphabets to Thai Language Translation by ATNs

This paper presents a method of translating Isarn Dharma alphabets into the Thai language. In order to develop the system, an Isarn to Thai dictionary was constructed. The Isarn Dharma input text was segmented into a sequence of Isarn words using the longest matching algorithm. In this study, we proposed a hybrid of dictionary and Augmented Translation Networks (ATNs) to translate the Isarn Dharma to Thai text. In order to evaluate the efficiency of the system, the Buddha foretell, Jataka legend, Stone inscription, Isarn foretell and common sentences were used to test the system. The experimental results showed that the correctness of the system is 61.81%.

Ontology-Supported Development for Drug Analysis Laboratory Corresponding to the ISO/IEC 17025 Standard

This paper introduces the development of an ontology that will support the work procedures of a drug analysis laboratory for the accreditation according to the ISO/IEC 17025 standard. This is an international standard for the competence of testing and calibration laboratories. The ontology conformed to both management and technical requirements and it represents scientific observational data and management workflow. The benefits of this ontology are that it will formalize the experimental description, allow for the sharing of data between the analysts, and allow data interoperability within the framework of the ISO/IEC 17025 standard.

Korean-Thai Lexicon for Natural Language Processing

This paper presents Korean-Thai lexicon. This research aims to study and collect necessary features to construct the Korean-Thai lexicon for natural language processing (NLP) and speech processing researches. The research method used for study was that of (1) creating Korean-Thai lexicon consisting of 7 parts : Korean words, Korean Revised Romanization, part of speech, sub part of speech, special characteristic, Thai meaning and description of meaning (2) Korean transcription. According to lack of useful tools for the Korean- Thai machine translation, therefore we have a proposal for creating Korean-Thai lexicon for machine translation. The Korean-Thai lexicon consists of 36,000 Korean words. As it would take a lot of time and effort to gather enough Korean words to cover all domains, Korean Revised Romanization was applied for some words such as terminology, names and places.

Web-based automatic network discovery/Map Systems

This paper introduces a new automatic network discovery/map system via Web architecture, the so-called Web-based Automatic Network discovery/Map Systems (WANMS). The system functions as a plug-in for a wellknown network management system, Cacti. Enriched features, especially the automatic networking discovery and map module, have been added in order to enhance the efficiency of Cacti embedded with a weather map plug-in. With user defined-pattern functions, the discovery process recognizes a proper type of networking devices. The discovery process generates XML-based information so that a graph visualization using jQuery via HTML5 can generate a simplified network map using a force-directed layout technique. WANMS is easy-to-use and less complicated, and so lessening the discovery time. In particular, for performance comparison with OpenMMS and DNMA, WANMS outperforms others in several perspectives, i.e., faster convergence, better coverage, and more details of types of networking devices. The system is presently used at the department of Information Technology, Provincial Police Region 4, Thailand.