2018 International Conference on Information Technology (InCIT)最新文献

Speed up RSA’s Decryption Process with Large sub Exponents using Improved CRT 使用改进的CRT加速RSA的大子指数解密过程

2018 International Conference on Information Technology (InCIT) Pub Date : 2018-10-01 DOI: 10.23919/INCIT.2018.8584868

Kritsanapong Somsuk, Thanapat Chiawchanwattana, Chalida Sanemueang

{"title":"Speed up RSA’s Decryption Process with Large sub Exponents using Improved CRT","authors":"Kritsanapong Somsuk, Thanapat Chiawchanwattana, Chalida Sanemueang","doi":"10.23919/INCIT.2018.8584868","DOIUrl":"https://doi.org/10.23919/INCIT.2018.8584868","url":null,"abstract":"The aim of this paper is to present the improvement of Chinese Remainder Theorem (CRT) to speed up RSA’s decryption process by changing sub exponents and transforming ciphertext in another domain. Although applying CRT with RSA, called CRT-RSA, can be chosen to decrease time in decryption side, computing modular exponentiation still consumes enormous time whenever sub exponents are large. In addition, the proposed method suits to apply with high sub exponents of CRT-RSA because the new sub exponents are smaller. On the other hand, both of them become larger when CRT-RSA’s exponents are small. Therefore, the proposed method cannot be chosen to replace CRT-RSA but it is one of two choices for the implementation. If sub exponents are small, CRTRSA is a better choice to speed up RSA’s decryption. Nevertheless, the proposed method should be selected when sub exponents are large. The experimental results show that the proposed method can finish the process faster than CRT-RSA for both of key generation process and decryption process whenever sub exponents are large. Furthermore, in decryption side, the proposed method is faster than CRT-RSA about 20 – 40%.","PeriodicalId":144271,"journal":{"name":"2018 International Conference on Information Technology (InCIT)","volume":"96 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127993586","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

Research Trends of Online Marketing in Social Media Research 社交媒体研究中的网络营销研究趋势

2018 International Conference on Information Technology (InCIT) Pub Date : 2018-10-01 DOI: 10.23919/INCIT.2018.8584887

Prajaks Jitngernmadan, Prawit Boonmee

引用次数: 2

[Title page] (标题页)

2018 International Conference on Information Technology (InCIT) Pub Date : 2018-10-01 DOI: 10.23919/incit.2018.8584874

引用次数: 0

InCIT 2018 Index

2018 International Conference on Information Technology (InCIT) Pub Date : 2018-10-01 DOI: 10.23919/incit.2018.8584885

引用次数: 0

Offline Handwritten Thai Character Recognition Using Single Tier Classifier and Local Features 基于单层分类器和局部特征的离线手写泰文字符识别

2018 International Conference on Information Technology (InCIT) Pub Date : 2018-10-01 DOI: 10.23919/INCIT.2018.8584876

Ferdin Joe John Joseph, Panatchakorn Anantaprayoon

引用次数: 5

Modified Stroke Width Transform for Thai Text Detection 修改的笔画宽度变换的泰国文本检测

2018 International Conference on Information Technology (InCIT) Pub Date : 2018-10-01 DOI: 10.23919/INCIT.2018.8584869

Taravichet Titijaroonroj

{"title":"Modified Stroke Width Transform for Thai Text Detection","authors":"Taravichet Titijaroonroj","doi":"10.23919/INCIT.2018.8584869","DOIUrl":"https://doi.org/10.23919/INCIT.2018.8584869","url":null,"abstract":"Stroke width transform (SWT) is widely used for detecting the candidate text in a natural scene image before forwarding it to character recognition to convert to editable text. It is an important part of an OCR application. However, the main problem affecting its performance is inconstant stroke width. This problem originates from inaccurate stroke width map. Due to this inaccurate map, the candidate text may get rejected in the SWT filtering step even though it is so. This leads to lower SWT performance. In order to solve this problem, we propose a modified stroke width transform (MSWT). This method divides a stroke width map from the candidate object into several sub-regions and computes the variance and mean of each sub-region instead of those of the whole stroke width map. This can reduce the destructive effect from inaccurately computed stroke width. Based on 100 images of natural scene with embedded Thai text, an experiment was conducted to comparatively evaluate the performance of MSWT against SWT in Thai text detection. The experimental results show that the recall rate of the proposed method was higher than that of the conventional SWT method.","PeriodicalId":144271,"journal":{"name":"2018 International Conference on Information Technology (InCIT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121549393","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

Automated Smart Farming for Orchids with the Internet of Things and Fuzzy Logic 基于物联网和模糊逻辑的兰花自动化智能种植

2018 International Conference on Information Technology (InCIT) Pub Date : 2018-10-01 DOI: 10.23919/INCIT.2018.8584881

Suchart Khummanee, Samruan Wiangsamut, Pongsakorn Sorntepa, Chuchai Jaiboon

引用次数: 5

IoT Based Water Quality Measurement Using Hybrid Sensors and Data Mining 基于物联网的混合传感器和数据挖掘水质测量

2018 International Conference on Information Technology (InCIT) Pub Date : 2018-10-01 DOI: 10.23919/INCIT.2018.8584873

C. Lowongtrakool, Panida Lorwongtrakool

{"title":"IoT Based Water Quality Measurement Using Hybrid Sensors and Data Mining","authors":"C. Lowongtrakool, Panida Lorwongtrakool","doi":"10.23919/INCIT.2018.8584873","DOIUrl":"https://doi.org/10.23919/INCIT.2018.8584873","url":null,"abstract":"The purposes of this research were 1) to develop the prototype for water quality measurement by using hybrid sensors which is the combination between e-tongue and e-nose together to work of IoT; and 2) to present algorithms for classification by using data mining techniques. In e-tongue for measurement of water chemical properties consist of pH, Electrical Conductivity (EC), Turbidity, Total Dissolved Solids (TDS), Salinity, Dissolved Oxygen (DO) and Temperature. And e-nose for measurement the response of different types of gases consist of MQ2, MQ3, MQ4, MQ5, MQ6, MQ7, MQ8, MQ9 and MQ135. Samples were collected at inlet and outlet areas from water quality control plants of Bangkok in 7 zones including SiPhraya, Rattana Kosin, Chong nonsi, Chatuchak, Din daeng, Nong kham, and Thung khru. Classification was done by algorithm such as NaiveBayes, NaiveBayesMultinominal, Logistic, SimpleLogigtic and IBK. Training and Testing were done by 10-fold cross validation and compared by accuracy. The results showed that the neural network model 15-10-1 with GainRatio include Salinity, Terbidity, TDS, MQ8, MQ4, DO, MQ135, pH, MQ5, MQ9, MQ7, MQ2, MQ6, EC and MQ3 have accuracy at 95.12%. Therefore, it can be concluded that hybrid sensors can be applied to measurement and monitoring water quality around communities in real environments.","PeriodicalId":144271,"journal":{"name":"2018 International Conference on Information Technology (InCIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126277071","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: 4

Finding Clinical Knowledge from MEDLINE Abstracts by Text Summarization Technique 用文本摘要技术从MEDLINE摘要中寻找临床知识

2018 International Conference on Information Technology (InCIT) Pub Date : 2018-10-01 DOI: 10.23919/INCIT.2018.8584867

C. Sibunruang, J. Polpinij

引用次数: 2

Social Media Contact Information Extraction 社交媒体联系信息提取

2018 International Conference on Information Technology (InCIT) Pub Date : 2018-10-01 DOI: 10.23919/INCIT.2018.8584877

Jian Qu, Nattakarn Phaphoom, Chinorot Wangtragulsang, D. Tancharoen

引用次数: 0