2018 International Conference on Information and Communications Technology (ICOIACT)最新文献_第3页

Time and cost optimization using scheduling job shop and linear goal programming model 利用作业车间调度和线性目标规划模型进行时间和成本优化

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-06 DOI: 10.1109/ICOIACT.2018.8350720

Biandina Meidyani, R. Sarno, Afina Lina Nurlaili

引用次数: 2

Geolocation prediction in social media data using text analysis: A review 使用文本分析的社交媒体数据中的地理位置预测:综述

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-06 DOI: 10.1109/ICOIACT.2018.8350674

Muhammad Nur Yasir Utomo, T. B. Adji, I. Ardiyanto

{"title":"Geolocation prediction in social media data using text analysis: A review","authors":"Muhammad Nur Yasir Utomo, T. B. Adji, I. Ardiyanto","doi":"10.1109/ICOIACT.2018.8350674","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350674","url":null,"abstract":"Geolocation information from social media data is essential for conducting geolocation-based analyzes such as traffic analysis and tourism analysis. However, geolocation information on social media data is still very limited. Only about 0.87% to 3% of data are geotagged data. Geolocation Prediction (GP) becomes a solution to overcome the problem. There are various approach to conduct Geolocation Prediction and each approach may give different result of location. The selection of the Geolocation Prediction approach then become important. Selected approach must be suitable for the needs of the analysis conducted. This paper focuses on reviewing geolocation prediction approaches based on text analysis in social media data. The review result shows that geolocation prediction approaches can be categorized into two categories called Content-based Geolocation Prediction and User-profiling-based Geolocation Prediction. This review further concludes that Content-based Geolocation Prediction is suitable for addressing geotagged data limitations in Location-specific Analysis because the location prediction results are specific to place-level. While combination approach is suitable to overcome the problem of geotagged data limitations on Location-distribution Analysis because it produces predictions of location at higher levels such as city-level, province-level, and country-level.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"14 1","pages":"84-89"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80379718","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: 14

Classification algorithm for edible mushroom identification 食用菌识别的分类算法

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-06 DOI: 10.1109/ICOIACT.2018.8350746

Agung Wibowo, Yuri Rahayu, A. Riyanto, Taufik Hidayatulloh

引用次数: 24

Doppler effect in VANET technology on high user's mobility VANET技术中的多普勒效应对高用户移动性的影响

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-06 DOI: 10.1109/ICOIACT.2018.8350663

W. Pamungkas, T. Suryani

引用次数: 5

An improved message capacity and security using divide and modulus function in spatial domain steganography 利用分模函数提高空间域隐写的信息容量和安全性

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-06 DOI: 10.1109/ICOIACT.2018.8350670

D. Setiadi, H. Santoso, E. H. Rachmawanto, C. A. Sari

{"title":"An improved message capacity and security using divide and modulus function in spatial domain steganography","authors":"D. Setiadi, H. Santoso, E. H. Rachmawanto, C. A. Sari","doi":"10.1109/ICOIACT.2018.8350670","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350670","url":null,"abstract":"Image Steganography is a technique for hiding messages into digital images, so messages cannot be perceived by the human senses. The two most important aspects of steganography techniques are the payload capacity and imperceptibility of embedded messages. This research proposes a method to explode secret messages using divide and modulus functions so that the message capacity embedded in a digital image can increase. The divide and modulus function can also improve message security because the messages are split into two part and sent separately. One part embedded and the other is stored as a key extraction. This method is done in a spatial domain. Spatial domains are steganographic techniques performed by manipulating pixel values directly. LSB is one of the most popular spatial domains proposed in this research. To measure the quality of imperceptibility are used PSNR and MSE. Based on the experimental results of this study proved that the capacity of embedded messages can increase twofold and keep maintaining the imperceptibility quality.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"25 1","pages":"186-190"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78586180","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: 25

Prototype of fire symptom detection system 火灾症状探测系统原型

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-06 DOI: 10.1109/ICOIACT.2018.8350730

Oxsy Giandi, R. Sarno

引用次数: 16

Automatic ranking system of university based on technology readiness level using LDA-Adaboost.MH 基于LDA-Adaboost的大学技术成熟度自动排名系统。MH

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-06 DOI: 10.1109/ICOIACT.2018.8350706

B. S. Rintyarna, R. Sarno, Arga Lancana Yuananda

{"title":"Automatic ranking system of university based on technology readiness level using LDA-Adaboost.MH","authors":"B. S. Rintyarna, R. Sarno, Arga Lancana Yuananda","doi":"10.1109/ICOIACT.2018.8350706","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350706","url":null,"abstract":"Regarding the intense competition among universities, a university ranking based on certain criteria is widely carried out. There are two core criteria for producing University Ranking, namely qualitative and quantitative criteria. Commonly, the ranking is yielded from an extensive survey involving related parties. Considering the labour intensive work of providing the ranking by the survey, this work proposes to measure the quality of university based on their technology readiness level by with the ranking of universities will be provided. Technology readiness level is the maturity level of research and technology implementation adopted by the university. To obtain an academic reputation score of universities based on the technology readiness level, we investigate the content of the academic paper of universities. We assume that the abstract of the paper represents the paper content. Accordingly, we collect the paper abstract of several reputable universities in Indonesia and mine the content by using LDA-Adaboost.MH. We also introduce formula to calculate university academic reputation. In the last step, a university ranking is generated. The results is comparable with the well-known QS University Rankings by 91.6% of similarity.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"284 1","pages":"495-499"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76849686","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

Design of transmissive huygens metasurface using modified cross and patch structure 采用改进型交叉和贴片结构的透射惠更斯超表面设计

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-06 DOI: 10.1109/ICOIACT.2018.8350794

A. A. Fathnan, D. Powell

引用次数: 0

Improvement of MFCC feature extraction accuracy using PCA in Indonesian speech recognition 基于PCA的印尼语语音识别中MFCC特征提取精度的提高

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-06 DOI: 10.1109/ICOIACT.2018.8350748

A. Winursito, Risanuri Hidayat, Agus Bejo

{"title":"Improvement of MFCC feature extraction accuracy using PCA in Indonesian speech recognition","authors":"A. Winursito, Risanuri Hidayat, Agus Bejo","doi":"10.1109/ICOIACT.2018.8350748","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350748","url":null,"abstract":"In the pattern recognition system, there are many methods used. For speech recognition system, Mel Frequency Cepstral Coefficients (MFCC) becomes a popular feature extraction method but it has various weaknesses especially about the accuracy level and the high of result feature dimension of the extraction method. This paper presents the combination of MFCC feature extraction method with Principal Component Analysis (PCA) to improve the accuracy in Indonesian speech recognition system. By combining MFCC and PCA, it was expected to increase the accuracy system and reduce the feature data dimension. The result of MFCC data features extraction added with delta coefficients formed matrix data that later would be reduced using PCA. PCA method in the process of data reduction was designed to be two versions. Then the result of PCA reduction data was processed to the classification process using K-Nearest Neighbour (KNN) method. Composing the data was formed from 140 speech data that were recorded from 28 speakers. The research findings showed that adding PCA method version 1 could reduce the feature dimension from 26 to 12 by the same accuracy of speech recognition with the conventional MFCC method without PCA, that is 86.43%. Whereas PCA method version 2 could increase the accuracy of speech recognition from the conventional MFCC method without PCA in increasing from 86.43% to 89.29% and decreasing of the data dimension from 26 to 10 feature dimensions.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"1 1","pages":"379-383"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72690085","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: 63

River body extraction and classification using enhanced models of modified normalized water difference index at Yeh Unda River Bali 巴厘叶云达河修正归一化水差指数增强模型的河体提取与分类

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-06 DOI: 10.1109/ICOIACT.2018.8350789

Putu Virga Nanta Nugraha, S. Wibirama, Risanuri Hidayat

{"title":"River body extraction and classification using enhanced models of modified normalized water difference index at Yeh Unda River Bali","authors":"Putu Virga Nanta Nugraha, S. Wibirama, Risanuri Hidayat","doi":"10.1109/ICOIACT.2018.8350789","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350789","url":null,"abstract":"Subak is a Balinese social organization that regulates irrigation systems in traditional ways. Monitoring of river flow using remote sensing technology has been expected to determine new irrigation channels. In this study, we conducted water body extraction using remote sensing technology based on water indices at Yeh Unda river, Bali. Landsat 8 OLI satellite images were used as the main dataset. We used Enhanced Modified Normalized Difference Water Index (EMNDWI) based on Modified Normalized Difference Water Index (MNDWI) that has been introduced as the conventional method to extract water bodies. Experimental results from the proposed method was compared to the results of MNDWI method. The proposed method was able to detect narrow river with brown water color, although there is a bit of missed detection caused by distraction on surrounding areas like trees, bushes and shadow. The results of the extraction at the selected area show that EMNDWI is a viable method for segmentation of river with brown water colors and narrow bodies. The results of water body extraction may be used by Subak officers to build a new water management system traversed by the Yeh Unda river and to analyze overflowing in the river.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"71 1","pages":"337-342"},"PeriodicalIF":0.0,"publicationDate":"2018-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89987832","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