2017 3rd International Conference on Science in Information Technology (ICSITech)最新文献

Myanmar optical character recognition using block definition and featured approach 缅文光学字符识别采用分块定义和特征方法

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257131

Zu Zu Aung, Cho Me Me Maung

{"title":"Myanmar optical character recognition using block definition and featured approach","authors":"Zu Zu Aung, Cho Me Me Maung","doi":"10.1109/ICSITECH.2017.8257131","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257131","url":null,"abstract":"Optical Character Recognition (OCR) can be used in many applications such as machine translation, postal processing, script recognition, text-to-speech, reading aid for blind, etc. Myanmar OCR system is essential to convert numerous published books, newspapers and journals of Myanmar into editable computer text files. It is a challenge for recognizing Myanmar old printed document in case of bad quality, absence of standard alphabets, absence of known fonts, ink through page, uneven background, broken characters, overlapped scripts and mixed scripts. This paper presents a new proposed block definition method for isolation printed Myanmar historical text. The proposed Myanmar optical character recognition (MOCR) system consists of local adaptive thresholding method for binarization and skew-slant correction, thinning algorithm is applied to obtain separation lines and words. For isolation of characters, block definition method is applied and adaptive neuro-fuzzy inference system (ANFIS) is matched the features in the trained database as machine readable text. Myanmar alphabets include consonants, vowels, medials and digits. By using block definition method, consonants and vowels are isolated easily and we obtained more accuracy rate of the OCR. The efficient experimental results are presented by using different Myanmar old documents in our proposed algorithms.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115692922","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: 2

Discovering optimized process model using rule discovery hybrid particle swarm optimization 利用规则发现混合粒子群算法发现优化过程模型

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257092

Yutika Amelia Effendi, R. Sarno

{"title":"Discovering optimized process model using rule discovery hybrid particle swarm optimization","authors":"Yutika Amelia Effendi, R. Sarno","doi":"10.1109/ICSITECH.2017.8257092","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257092","url":null,"abstract":"This paper presents a bio-inspired hybrid method which concentrate on the optimal or a near-optimal business process model from an event log. The discovery of Hybrid Particle Swarm Optimization (Hybrid PSO) algorithm comes from the combination of Particle Swarm Optimization (PSO) algorithm and Simulated Annealing (SA) method. This paper presents a method which combines Rule discovery task and Hybrid PSO. The proposed method can discover not only classification rules that produce the most optimal business process model from event logs, but also can optimize the quality of process model. To be formulated into an optimization problem, we use rule discovery task to get the high accuracy, comprehensibility and generalization performance. After we get the results from rule discovery task, we use Hybrid PSO to resolve the problem. In this proposed method, we use continuous data as data set and fitness function as evaluation criteria of quality of discovered business process model. As final results, we prove that the proposed method has the best results in terms of average fitness and number of iterations, compared with classical PSO algorithm and original hybrid PSO algorithm.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124261275","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: 8

Physical document validation with perceptual hash 具有感知哈希的物理文档验证

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257180

Prasetyo Adi Wibowo Putro

引用次数: 6

Analyzing knowledge management in research laboratories based on organizational culture 基于组织文化的科研实验室知识管理分析

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257125

I. F. Akmaliah, D. I. Sensuse, I. A. Wulandari, Isnaeni Nurrohmah, Rahmi Imanda, Elin Cahyaningsih, Handrie Noprisson

引用次数: 3

Color and texture features extraction on content-based image retrieval 基于内容的图像检索中的颜色和纹理特征提取

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257205

Rahmaniansyah Dwi Putri, H. W. Prabawa, Y. Wihardi

{"title":"Color and texture features extraction on content-based image retrieval","authors":"Rahmaniansyah Dwi Putri, H. W. Prabawa, Y. Wihardi","doi":"10.1109/ICSITECH.2017.8257205","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257205","url":null,"abstract":"The study on Content Based Image Retrieval (CBIR) has been a concern for many researchers. To conduct CBIR study, some essential things should be considered that are determining the image dataset, extraction method, and image measurement method. In this study, the dataset used is the Oxford Flower 17 dataset. The feature extraction employed is the feature extraction of the HSV color, the Gray Level Cooccurrence Matrix (GLCM) texture extraction feature, and the combination of both features. This study is purposely generates precision from CBIR test based on the proposed method. At first, digital image is segmented by applying thresholding. Moreover, the image is converted into vector to be subsequently processed using feature extraction. Further, the similarity level of the image is measured by Euclidean Distance. Tests on the system are based on segmented and unsegmented image. The system test with segmented image yields mean average precision of 83.35% for HSV feature extraction, 83.4% for GLCM feature extraction, and 80.94% for combined feature extraction. Meanwhile, the system test for unsegmented image generates mean average precision of 82.64% for HSV feature extraction, 87.32% for GLCM feature extraction, and 85.73% for extraction of combined features.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122983963","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: 8

Real-time location recommendation system for field data collection 现场数据采集实时位置推荐系统

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257123

Aris Prawisudatama, I. B. Nugraha

引用次数: 0

Reusability metric on procurement of goods and services 货物和服务采购的可重用性度量

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257089

M. Untoro, R. Sarno

引用次数: 0

Question answering system with Hidden Markov Model speech recognition 基于隐马尔可夫模型的语音识别问答系统

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257121

Hobert Ho, V. C. Mawardi, Agus Budi Dharmawan

引用次数: 2

Design of a system for detection of environmental variables applied in data centers 数据中心环境变量检测系统的设计

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257144

Leonel Hernandez, Y. Calderón, Hugo E. Martinez, A. Pranolo, I. Riyanto

{"title":"Design of a system for detection of environmental variables applied in data centers","authors":"Leonel Hernandez, Y. Calderón, Hugo E. Martinez, A. Pranolo, I. Riyanto","doi":"10.1109/ICSITECH.2017.8257144","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257144","url":null,"abstract":"The information processing centers including Data Centers in the companies have evolved and the distributed processing of the technologies for servers and network devices elevates the demand of energy and cooling. Therefore, it is important to analyze the environment with more caution, taking into account that the increase in density and variations are aspects that cause changes in the monitoring methodology of the computer environment. Critical threats that can be detected are elevated temperatures, humidity and unauthorized access, or inappropriate actions by data center staff. In this project, a prototype will be designed and implemented to detect some basic environmental variables such as temperature, pressure, current and humidity, which are vital to controlling within a data center, based on the concepts provided by Internet of Things (IoT). It will also focus on reviewing the current status of the University's data centers to determine if they are energy efficient. It will show the process of the detection system implementation, the components used and network connection for sending the information. This project will serve as a starting point for future development of similar systems, allowing the definition of more variables and serve as a solution for the business sector in the region and the country. In our business environment, there are not many similar developments, at a good cost, that the various entities can execute. It is offering an idea of a system of detection of environmental variables in the data center that is competitive and that represents security and reliability.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127844875","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: 7

Community and important actors analysis with different keywords in social network 基于不同关键词的社群与重要行动者分析

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257163

Nanang Cahyana, R. Munir

{"title":"Community and important actors analysis with different keywords in social network","authors":"Nanang Cahyana, R. Munir","doi":"10.1109/ICSITECH.2017.8257163","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257163","url":null,"abstract":"Twitter has hundreds of millions of users around the world. Using the Twitter as a social network analysis material is very much in demand. Social network analysis can analyze groups and actors of a social network so that it can detect early behaviors that will be performed by groups and actors. But social network analysis in general has not shown strong groups and actors because it uses only one keyword. As a result, this method is quite difficult in detecting early events of a group and actors, especially those associated with cyberterrorist. For that, it needs a method of social network analysis so that the group and the actors produced are really strong and can be detected early behavior that will be done group and actors. The method in question is the use of several different keywords but have the same topic. With this method, it can be obtained a network pattern of groups and powerful actors related to the desired topic so that it can detect earlier behavior that will be done groups and actors. The results obtained are different keywords but have a high value of similarity topics can produce groups and actors are getting stronger. It can increase in the value of graph metric. So this method is feasible to search relationships between different keywords to find the powerfull community and important actor in social network.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124332381","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: 1