Sixteenth International Conference On Computer Applications (ICCA 2018): Recent submissions

  • Single-Document Myanmar Text Summarization using Latent Semantic Analysis (LSA) 
    Lwin, Soe Soe; Nwet, Khin Thandar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Due to an exponential growth in the generation of textual data, tools and mechanisms for automatic summarization of documents is needed. Text summarization is currently a major research topic in Natural Language ...
  • Automatic Speech Recognition on Spontaneous Interview Speech 
    Naing, Hay Mar Soe; Pa, Win Pa (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    This paper presents a spontaneous speech recognition system for Myanmar language. Automatic speech recognition (ASR) on some controlled speech has achieved almost human performance. However, the performance of spontaneous ...
  • Joint Word Segmentation and Stemming for Myanmar Language Based on Conditional Random Fields 
    Oo, Yadanar; Soe, Khin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    In this paper, we describe a joint work on word segmentation and stemming of Myanmar sentences with syllabled-based tagging under Conditional Random Fields(CRF) framework. A manuallysegmented corpus was developed to ...
  • Deep Learning for Predictive Process Behavior 
    Hnin, Thuzar; Oo, Khine Khine (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Today’s many modern organizations, to get competitive advantages, have been already implemented business process management (BPM). However, as part of a larger business process management initiative, especially predictive ...
  • Feature Points for Traffic Sign Detection and Recognition System Using ANFIS 
    Phu, Kay Thinzar; Oo, Lwin Lwin (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The reliable traffic sign detection provides to achieve performance in traffic sign recognition. Features representation is an important factor for TSDR system. The purpose of this research is to propose an adaptive threshold ...
  • Detecting the 3D Damaged Area of Historic Pagodas Using Vanishing Point 
    Aung, Thida; Sein, Myint Myint (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Detecting the damaged area is the critical task for recovery and reconstruction work. Traditional damage detection or change detection method focus on two dimensional changes detection, whereas the two dimensional ...
  • Moving Object’s Cast Shadow Removal 
    Aung, Moe San; Tint, Thuzar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Moving object’s cast shadow removal is the active and challenging research area in computer vision and digital image processing. Removing cast shadow is the primary step for object tracking and segmentation system. ...
  • Kernels Analysis in MRI Images Noise Removal Methods 
    Min, Aye; Kyu, Zin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    With advanced imaging techniques, Magnetic Resonance Imaging (MRI) plays an important role in medical environments to create high quality images contained in the human organs. In the processing of medical images, medical ...
  • Enhanced Battery Life of Mobile Device by Computation Offloading Decision Algorithm 
    Thu, Mi Swe Zar; Kyi, Hsu Mon (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Functionality on mobile device is ever richer in daily life. Mobile devices have limited resources like battery life, storage and processor, etc. Nowadays, Mobile Cloud Computing (MCC) bridges the gap be-tween the limited ...
  • A Comparison of Naïve Bayes and Random Forest for Software Defect Prediction 
    Soe, Yan Naung; Oo, Khine Khine (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    The software defect can cause the unnecessary effects on the software such as cost and quality. The prediction of the software defect can be useful for the developing of good quality software. For the prediction, the PROMISE ...
  • Bootstrapping Clinical Concept Extraction with Self-Training 
    Khin, Nyein Pyae Pyae; Lynn, Khin Thidar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    In the clinical domain, annotated clinical records are not only expensive but also often unavailable for research due to patient privacy and confidentiality requirements. The challenge is how to train effective clinical ...
  • A text mining of school lunch recipes in Japan and correlation between lunch dishes and nutrition balance 
    Tajima, Yasuhiro (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    In Japan, school lunch is usually provided by the governmental agency and the lunch is called “Kyusyoku”. The recipes of Kyusyoku is consulted by dietitians to balance nutrition for the health of childhood. We have analyzed ...
  • An Analysis of Rule and Decision Tree Based Intrusion Detection System 
    Aung, Yi Yi; Min, Myat Myat (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    We are living in 21st century wherein the number of internet of things is competing with increasing population. Security is becoming a major concern for information technology over network. Therefore, people use technology ...
  • Proposed Method in Adoptive Frequent Itemset Generation 
    Yu, Thanda Tin; Lynn, Khin Thidar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Apriori is an algorithm for frequent item set mining and association rule mining over transactional databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger ...
  • Skyline Trip Planning Queries 
    Htoo, Htoo; Ohsawa, Yutaka (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Given a current point and a final destination, and visiting data point categories on a trip, a sequenced route query finds the shortest route which meets the specific query condition. When this query is used in real ...
  • Explorations of a Bayesian Belief Network for the Simultaneous Farming of Rice and Shrimp Crops 
    Lewis, A.; Randall, M.; Koster, Stewart; Anh, N. Dieu; Burford, M.; Condon, J.; Qui, N. Van; Hiep, L. Huu; Bay, D. Van; Sammut, J. (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Efficiencies in farming practice in many parts of South East Asia can make substantial, positive differences to villages and communities. The use of automated decision-assistance tools such as Bayesian Belief Networks ...
  • Improving Hadoop MapReduce Performance Using Speculative Execution Strategy in a Heterogeneous Environment 
    Oo, Zar Zar; Phyu, Sabai (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    MapReduce is currently a parallel computing framework for distributed processing of large-scale data intensive application. The most important performance metric is job execution time but it can be seriously impacted ...
  • Big Data Clustering using Parallel Differential Evolution Algorithm 
    Cho, Pyae Pyae Win; Nyunt, Thi Thi Soe (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Clustering is the task of discovering group of similar objects or items and there have been many applications for clustering such as image segmentation, document retrieval and data mining. The increasing volumes of ...
  • Frequent Pattern Mining for Stream Data by Using Hadoop GM-Tree and GTree 
    Aung, Than Htike; Kham, Nang Saing Moon (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Since origination of mining, frequent pattern mining has become a mandatory issue in data mining. Transaction process for mining pattern needs efficient data structures and algorithms. This system proposed tree structure, ...
  • Performance Analysis of a Scalable Naïve Bayes Classifier on MapReduce and Beyond MapReduce 
    Oo, Myat Cho Mon; Thein, Thandar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Many real world areas from different sources generate the big data with large volume of high velocity, complex and variable data. Big data becomes a challenge when they are difficult to process and extract knowledge ...

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