International Conference on Computer Applications (ICCA): Recent submissions

  • Aung, Thet Thet; Nyunt, Thi Thi Soe (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Community Detection (CD) is an interesting research area in social network analysis. It becomes NP-hard problem in large network. Many researchers use heuristic algorithms to detect communities in social network. These ...
  • Kyaw, Lett Yi; Phyu, Sabai (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    High performance computing (HPC) is famous and latest trend in current research era. User request many jobs and they want to get accurate results and quick time within eye blink. There are so many processors running ...
  • Mon, Soe Soe; Kham, Nang Saing Moon; Aung, Than Htike (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    In current years, there have been development of the number of intelligent tools based Radio Frequency Identification (RFID). RFID systems have been used successfully working to many areas such as transport, health ...
  • Swe, Myo Myo; Myo, Nyein Nyein (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    The fast development of social networking sites such as imparting, sharing, putting away and overseeing huge data leads to pull in cybercriminals. Spammers misuse these social networking sites to abuse cyber laws for ...
  • Than, Moh Moh; Thein, Thandar (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Dynamic resource allocation in cloud data centers is a challenging problem. Resource prediction is a key feature for on-demand resource planning and efficient resource management of dynamic workload. This requires a ...
  • Htay, Than Than; Phyu, Sabai (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Apache Hadoop exposes 180+ configuration parameters for all types of applications and clusters, 10-20% of which has a great impact on performance and efficiency of the execution. The optimal configuration settings for ...
  • Thazin, Nwe; Nwe, Khine Moe; Ishibashi, Yutaka (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Cloud Data Center Network (CDCN) is receiving considerable attention and becomes one of the hottest topics among academia and industry. It is difficult to deliver the new emerging network services in a flexible way and ...
  • Mon, Myat Myat; Khine, May Aye (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Cloud computing is an interested and big developing computing technology that maintain data servers and service huge applications to provide end users in many different organization. Although cloud computing gives many ...
  • Mung, Pau Suan; Phyu, Sabai (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    Healthcare industry is an ever-increasing rise in the large amount of records such as doctors, patients, medicines and medical history. Although previous medical records are beneficial for not only individual but also ...
  • Aye, Kyar Nyo; Thein, Ni Lar (Tenth International Conference on Computer Applications (ICCA 2012), 2012-02-28)
    In today’s world, almost every enterprise is seeing an explosion of data. They are getting huge amount of digital data generated daily. Such huge amount of data needs to be stored for various reasons. Now the important ...
  • Thu, Ye Kyaw; Takabuchi, Kenta; Fukai, Kaisei; Iwahashi, Naoto; Kunishima, Takeo (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Language acquisition for robot is a challenging topic in the artificial intelligence research area and essential for natural communication between robot and human. In this paper, we proposed language acquisition ...
  • Kyaw, Win Thuzar; SAGISAKA, Yoshinori (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Following the successful findings of high correlations between speech and color such as F0 and Value, Loudness and Saturation and Spectrum and Hue, we analyzed the correlations between voice source characteristics and ...
  • Mon, Aye Nyein; Pa, Win Pa; Thu, Ye Kyaw (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Myanmar language is a tonal and analytic language. It can be considered as an under-resourced language because of its linguistic resource availability. Therefore, speech data collection is a very challenging task in ...
  • Nyein, May Kyi; Soe, Khin Mar (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Word reordering is a problematic issue for language pairs with significantly different word orders, such as the translation between a subject-verb-object (SVO) language and a subject-object-verb (SOV) language. When ...
  • Zin, May Myo; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    In this paper, a comparison between neural based network that adopts Recurrent Neural Network (RNN) language model and statistical based one with N-gram language model is conducted for English-to- Myanmar phrase-based ...
  • Mo, Hsu Myat; Nwet, Khin Thandar; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Named Entity Recognition (NER) is the task of classifying or labeling atomic elements in the text into predefined sets of named entity categories such as Person, Location, Organization or Number. NER is also a crucial ...
  • Latt, Tin Myo; Thida, Aye (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Morphological analysis (MA) is needed in any Natural Language Processing (NLP) Application. It means taking a word as input and identifying the stem and affix. MA provides information about a word’s semantics and the ...
  • Fam, Rashel; Lepage, Yves; Gojali, Susanti; Purwarianti, Ayu (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Abstract We propose a pipeline to explain, on the level of form, the unseen words contained in an Indonesian test set, by using analogical clusters. Analogical clusters are extracted from a training set by relying on ...
  • Aye, Hnin Thu Zar; Ding, Chenchen; Pa, Win Pa; Nwet, Khin Thandar; Utiyama, Masao; Sumita, Eiichiro (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    In this study, we investigate English-to-Myanmar statistical machine translation (SMT) by using part-of-speech (POS) as linguistic inform-ation which is valuable for statistical machine translation systems to extract ...
  • Nwet, Khin Thandar; Khine, Aye Hnin; Soe, Khin Mar (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Text classification is one of the major tasks of natural language processing and included in the interesting research areas of text data mining, which is about looking for patterns in natural language text. This ...

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