2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA)最新文献_第3页

Implementation of Intelligent Agent in Defense of the Ancient 2 through Utilization of Opponent Modeling 利用对手建模实现《古代防御2》中的智能代理

2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA) Pub Date : 2018-08-01 DOI: 10.1109/ICAICTA.2018.8541286

Azka Hanif Imtiyaz, Nur Ulfa Maulidevi

{"title":"Implementation of Intelligent Agent in Defense of the Ancient 2 through Utilization of Opponent Modeling","authors":"Azka Hanif Imtiyaz, Nur Ulfa Maulidevi","doi":"10.1109/ICAICTA.2018.8541286","DOIUrl":"https://doi.org/10.1109/ICAICTA.2018.8541286","url":null,"abstract":"Intelligent agent is specially suited for completing tasks in video games. Intelligent agent in Dota 2 had been proven to be better at professional human with bot that was developed by OpenAI. Other bots haven’t been able to produce good level of performance as generally bots are developed with rule-based approach. This caused the bot to perform as good as the developer’s understanding of the game. One of learning method to be used in this case is opponent modeling; an attempt at modeling opponent based on its behavior. First, bot will play a round of training match to gather environment data. Model is built based on the data that is gathered with opponent’s current action target as the target regression. Prediction from the model is used in bot for consideration in deciding which action is best against opponent’s action. For validation, implemented bot with opponent modeling faced against bot without opponent modeling and also default bot from Dota 2. The results showed that opponent modeling as a component is able to increase the level of performance on the implemented bot. This showed that opponent modeling is able to provide relevant information for the bot to decide the best action.","PeriodicalId":184882,"journal":{"name":"2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121631918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Indonesian Shift-Reduce Constituency Parser Using Feature Templates & Beam Search Strategy 使用特征模板和束搜索策略的印度尼西亚移位-减少选区解析器

2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA) Pub Date : 2018-08-01 DOI: 10.1109/ICAICTA.2018.8541292

Robert Sebastian Herlim, A. Purwarianti

引用次数: 2

ICAICTA 2018 Committees

2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA) Pub Date : 2018-08-01 DOI: 10.1109/icaicta.2018.8541327

引用次数: 0

Bag of Facial Components: A Data Enrichment Approach for Face Image Processing 人脸成分袋:一种人脸图像处理的数据充实方法

2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA) Pub Date : 2018-08-01 DOI: 10.1109/ICAICTA.2018.8541324

I. Suwardi, Achmad Imam Kistijantoro, Tjokorda Agung Budi Wirayuda, Ginar Santika Niwanputri

{"title":"Bag of Facial Components: A Data Enrichment Approach for Face Image Processing","authors":"I. Suwardi, Achmad Imam Kistijantoro, Tjokorda Agung Budi Wirayuda, Ginar Santika Niwanputri","doi":"10.1109/ICAICTA.2018.8541324","DOIUrl":"https://doi.org/10.1109/ICAICTA.2018.8541324","url":null,"abstract":"Facial images are one of the raw data that can be processed to produce various information/representations, especially for computer vision, pattern recognition, and biometrics. Moreover, identity recognition, expression recognition and visitor demographic calculations are applications that can be generated through the processing of facial images. In order to perform face image processing, a face detection mechanism is needed to isolate the face area (region-of-interest-ROI). Previous research generally views facial images as unity for further processing with feature extraction techniques and recognition. This paper proposes post-processing from face detection (Viola-Jones based) to produce a bag of facial components as a data representation for the next processes which are feature extraction and recognition. The post-processing is done based on the geometric rules of the face and golden ratio to produce more accurate detection. From the experiment, the proposed method achieves 96.88% of accuracy on the development part whilst the accuracy of testing part reaches 92.52% (with precision 95.32% and recall 96.62%).","PeriodicalId":184882,"journal":{"name":"2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125122472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Dense Vector Representation for Relation Tuple Similarity 关系元组相似度的密集向量表示

2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA) Pub Date : 2018-08-01 DOI: 10.1109/ICAICTA.2018.8541289

A. Romadhony, A. Purwarianti, D. H. Widyantoro, Alfan Farizki Wicaksono

引用次数: 0

Mining Top-k Frequent-regular Itemsets from Incremental Transactional Database 从增量事务数据库中挖掘Top-k常规则项集

2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA) Pub Date : 2018-08-01 DOI: 10.1109/ICAICTA.2018.8541326

Bandit Tagmatcha, Komate Amphawan

{"title":"Mining Top-k Frequent-regular Itemsets from Incremental Transactional Database","authors":"Bandit Tagmatcha, Komate Amphawan","doi":"10.1109/ICAICTA.2018.8541326","DOIUrl":"https://doi.org/10.1109/ICAICTA.2018.8541326","url":null,"abstract":"In the past decade, frequent-regular itemset mining (FRIM) has been proposed and applied in a wide range of applications. It aims to discover interesting itemsets frequently and regularly occurring in a static database. However, in real-world applications, the occurrence behavior of items/itemsets may change whenever the database is updated and there may be the situation of overwhelming or none of results generated if the user set inappropriate support threshold. Thus, we here introduce a new approach to mine top-k frequent-regular itemsets from incremental transactional database for mining results which allows users to control the number of results. In this approach, a set of k itemsets having highest frequency of occurrence and regularity occurring in a incremental database is generated. To mine such itemsets, an efficient single-pass algorithm called IMTFRI (Incremental Miner of Top-k Frequent-Regular Itemset) is proposed. The partitioned dynamic bit-vector is utilized to maintain occurrence information of each item/itemsets while mining. In addition, to avoid mining on each incremental database from scratch, the mining with baseline frequency setting technique is designed. Last, experimental studies have been conducted to investigate efficiency of IMTFRI algorithm in the terms of computational time and memory usage.","PeriodicalId":184882,"journal":{"name":"2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129990737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Perceptual Color Enhancement for LED Illuminations LED照明的感知色彩增强

2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA) Pub Date : 2018-08-01 DOI: 10.1109/ICAICTA.2018.8541317

Hokuto Tateyama, Shigeru Kuriyama

引用次数: 1

Named Entity Recognition Modeling for the Thai Language from a Disjointedly Labeled Corpus 基于分离标记语料库的泰语命名实体识别建模

2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA) Pub Date : 2018-08-01 DOI: 10.1109/ICAICTA.2018.8541344

Kitiya Suriyachay, Virach Sornlertlamvanich

{"title":"Named Entity Recognition Modeling for the Thai Language from a Disjointedly Labeled Corpus","authors":"Kitiya Suriyachay, Virach Sornlertlamvanich","doi":"10.1109/ICAICTA.2018.8541344","DOIUrl":"https://doi.org/10.1109/ICAICTA.2018.8541344","url":null,"abstract":"In the Thai language, named entity can be used with or without a prefix or an indication of word. This may cause confusion between named entity and other types of noun. However, a named entity is likely to be used in adjacent to verbs or prepositions. This means that the adjacent verbs or prepositions to a noun can be as a good feature to determine the type of named entity. There are some studies on named entity recognition (NER) task in other languages such as Indonesian showing that combination of word embedding and part-of-speech (POS) tag can improve the performance of the NER model. In this paper, we investigate the Thai Named Entity Recognition task using Bi-LSTM model with word embedding and POS embedding for dealing with the relatively small and disjointedly labeled corpus. We compare our model with the one without POS tag, and the baseline model of CRF with the similar set of feature. The experiment results show that our proposed model outperforms the other two in all F1-score measures. Especially, in the case of location file, the F1-score is increased by 14 percent.","PeriodicalId":184882,"journal":{"name":"2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124289492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Blockchain Based Secret-Data Sharing Model for Personal Health Record System 基于区块链的个人健康记录系统秘密数据共享模型

2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA) Pub Date : 2018-08-01 DOI: 10.1109/ICAICTA.2018.8541296

T. Thwin, S. Vasupongayya

引用次数: 41

Aspect-Based Sentiment Analysis Using Convolutional Neural Network and Bidirectional Long Short-Term Memory 基于卷积神经网络和双向长短期记忆的面向情感分析

2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA) Pub Date : 2018-08-01 DOI: 10.1109/ICAICTA.2018.8541300

Alson Cahyadi, M. L. Khodra

引用次数: 23