Feature Selection for Categorization of Online News Articles in Myanmar Language

In text mining, the feature selection plays an important role to reduce the high dimensionality of feature space. It can improve the accuracy of the document clustering process and help to avoid overfitting problem. Nowadays, the enormous amount of news article documents is widely available on the internet due to the rapid development of the web. Consequently, there is an urgent need to extract useful content from overloaded information. The categorization of online text documents is crucial to avoid information overload and it can help readers to find rapidly their interesting topic. The problem arises for text categorization is the large number of features space. This study has two phases, documents preprocessing and feature selection. Document preprocessing contains documents collection, syllable segmentation, word segmentation, removing stop words for extracting features from the collection of Myanmar online news documents including sport, health, crime etc. In this study, TF-IDF weighting method is adapted for feature selection. The experimental result shows the adapted TF-IDF method has higher performance than based TF-IDF method

Requirement prioritization based on non-functional requirement classification using hierarchy analytic hierarchy process

This Requirement prioritization is the process in requirement engineering which in one stage in SDLC. Requirements engineering process aid to increase the excellence of software systems. Software system requirements are often classified as functional requirements (FR) or non-functional requirement (NFR). To produce a high-quality software system, both functional and non-functional requirement must be considered during requirement prioritization process. Most of the existing requirement prioritization method is only considering functional requirements since but neglecting the effect of NFR on specified FR. The aim of this paper to propose requirement prioritization technique that embed the non-functional requirements using existing RALIC dataset. Implementation of this paper, RALIC dataset hierarchy (a) use pairwise comparison and consistency ratio check for accuracy. Classified the percentage of NFR for hierarchy (a). Hierarchy (a) pairwise comparison result of weights (a.1) was (0.60) which is highest prioritized. Classified the NFR for hierarchy (a) requirements was efficiency (60%), security was (31%) and usability was (11%). Efficiency was the highest in hierarchy (a). Oppositely, highest percentage of NFR for hierarchy (a to j) was Portability requirement (92%) from hierarchy (e). The finding, when make the pairwise comparison for hierarchy (a to j) requirements input was (15, 051), in contrast, hierarchically pairwise comparison for (a to j) requirements input was (403). Therefore, hierarchically comparison can be reduced the number of requirements (97.33 %)

Domain-Specific Sentiment Lexicon for Classification

Nowadays people express their opinions about products, government policies, schemes and programs over social media sites using web or mobile. At the present time, in our country, government changes policies in every sector and people follow with the eyes or the mind on these policies and express their opinion by writing comments on social media especially using Facebook news media pages. Therefore, our research group intends to do sentiment analysis on new articles. Domain-specific sentiment lexicon has played an important role in opinion mining system. Due to the ubiquitous domain diversity and absence of domain-specific prior knowledge, construction of domain-specific lexicon has become a challenging research topic in recent year. In this paper, lexicon construction for sentiment analysis is described. In this work, there are two main steps: (1) pre-processing on raw data comments that are extracted from Facebook news media pages and (2) constructing lexicon for coming classification work. The word correlation and chi-square statistic are applied to construct lexicon as desired. Experimental results on comments datasets demonstrate that proposed approach is suitable for construction the domain-specific lexicon

Study on the Treatment of Liquid Waste from Rare Earth Processing by Chemical Precipitation

This paper describes treatment of liquid waste from rare earth processing by chemical precipitation. Monazite ore from Moemeik Myitsone area was used as raw material for rare earth processing. Large amount of solid and liquid wastes were generated after rare earth oxide processing. Solid waste was stored in the storage tanks and liquid waste needed further treatment before discharges to the environment. Research process serves the purpose of reducing the volume of the waste as much as possible to protect men and the environment from any undesirable effects for the present and future generation. Treatment methods are selected based on the composition, quantity and form of the waste materials. The used method is chemical precipitation method. For liquid waste treatment, the most coagulation treatment used is the Fe +++ co-precipitation followed by settling, decantation and filtration of the supernatant liquid. The efficiency of the process can be improved by careful control of the pH and the settling the decantation procedure. The sludge was filtered, dried in oven and collected in plastic bags and temporary stored in 100 liters plastic drums.   Finally all of the decontaminated effluents are safety discharged to the environment. All of the experiments were analyzed by the X- ray Fluorescence Spectrometer (XRF). Before treatment, thorium and uranium contained <2000 ppm,  < 300 ppm and this is in the low level waste. After treatment result in decant water gives uranium (< 1 ppm) and thorium (< 10 ppm).According to the threshold limits for the UK radioactive classification system,   liquid waste from rare earth processing was less than (0.4 Bq/g) and this range is in exempt waste and can be discharge to drain and to the environment safety. The safety regime was in place and improved simultaneously by survey monitoring by using Alert Monitor 4 meter Scale in USV/H

Study on Processing of Rare Earth Oxide from Monazite, Mongmit Myitsone Region

The present study investigates to support the production of rare earth oxide, which has been used for next research work of individual rare earth elements purification process from monazite, Mongmit Myitsone Region. The processing of rare earth oxide in this study involves four main parts, digestion of monazite concentrate, selective precipitation of rare earth hydroxide, precipitation of rare earth oxalate and calcination of rare earth oxide. The chemicals used in this study were commercial grade from local market. The products from each processing process were characterized by XRD and XRF. The final product contained (> 95 %) of total rare earth oxide and fulfilled to apply next purification process. This paper review the cheaper and easily way to extract rare earth oxide from Myanmar monazite

Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text

This paper contributes the first evaluation of the quality of automatic translation between Myanmar sign language (MSL) and Myanmar written text, in both directions. Our developing MSL-Myanmar parallel corpus was used for translations and the experiments were carried out using three different statistical machine translation (SMT) approaches: phrase-based, hierarchical phrase-based, and the operation sequence model. In addition, three different segmentation schemes were studies, these were syllable segmentation, word segmentation and sign unit based word segmentation. The results show that the highest quality machine translation was attained with syllable segmentations for both MSL and Myanmar written text

Development of Natural Language Processing based Communication and Educational Assisted Systems for the People with Hearing Disability in Myanmar

Information and communication technologies (ICTs) provide people with disabilities to better integrate socially and economically into their communities by supporting access to information and knowledge, learning and teaching situations, personal communication and interaction. Our research purpose is to develop systems that will provide communication and educational assistance to persons with hearing disability using Natural Language Processing (NLP). In this paper, we present corpus building for Myanmar sign language (MSL), Machine Translation (MT) between MSL, Myanmar written text (MWT) and Myanmar SignWriting (MSW) and two Fingerspelling keyboard layouts for Myanmar SignWriting. We believe that the outcome of this research is useful for educational contents and communication between hearing disability and general people

Investigation of Japanese Encephalitis Virus Infection in Bogalay Township, Myanmar in 1999

An investigation was in Nyi-naung-wa village, Bogalay township for Japanese encephalitis (JE) virus infection and the possibility of a JE outbreak. JE virus antibody was determined among the pigs and the people living near the pig farms in that village and at an adjacent village as a control. The known JE virus vector Culex mosquito species were also identified in both villages. Haemagglutination inhibition (HAI) methods were used for the detectioon of JE and dengue antibodies. Homotypic or monotypic JE antibodies were detected in 33% of the pigs tested. No homotypic nor monotypic JE antibodis was detected among the villagers. Although there was no JE virus infection among the people, because of the presence of JE virus infection among the pigs and the presence of Culex mosquito vector in that area, the possibility of a JE outbreak in humans in that area, if the number of pig breeding per household increase and the mosquito density become higher is discussed

Pathways to Women’s Empowerment in the Promotion of Climate Smart Agriculture in the Philippines, Myanmar, and Cambodia

Climate change is not gender neutral. Women are a vulnerable population within a vulnerable population. Far from an equalizing event, climate change risks and disasters often magnify and aggravate existing inequalities in society, including gender inequality. National governments and the international development community recognized that in order to strengthen and accelerate their goals for agricultural development, economic growth and food security they need to build the contributions that women make and take steps to alleviate barriers to women empowerment. A quantitative-qualitative study has been undertaken to investigate how the promotion of climate smart agriculture is contributing to women empowerment within the climate smart villages (CSVs) in Myanmar, Cambodia and the Philippines. The analysis of survey results (n=121) showed that the majority of the women farmers opt to make decisions jointly with their husbands in activities related to agriculture production. Women’s participation in the decision-making process are related to decisions on what crops or crop varieties to plant. Women are more engaged in the decision making related to small livestock such as goats, pigs and chickens, they have gained more experience and knowledge and are able to provide good suggestions regarding livestock. Increased income is a powerful measure of women’s economic empowerment. Across the six CSVs, there is a significant difference in the perceived increase in incomes. The impact of women’s increased income has been equally positive at both the household and community level, with increased involvement in household and production decision-making and increased and more active participation in community activities. Household borrowing and saving have traditionally been the normative responsibility of women. This finding is supported by focus group discussions (n=113) in the CSVs where women are designated as budget planner and keeper of the household income. The study also indicated that the promotion of homestead gardens and small livestock buffered the negative impacts of the COVID-19 pandemic to the households as these activities provided them with food, enabled them to share or sell vegetables to their neighbors, and reserved food for extended lockdowns

ミスト化学気相成長法による酸化スズ薄膜のヘテロエピタキシー

熊本大