2018 International Conference on Information and Communications Technology (ICOIACT)最新文献_第9页

Estimating fish weight based on visual captured 根据视觉捕捉估计鱼的重量

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350762

Raihan Islamadina, Nuriza Pramita, F. Arnia, K. Munadi

引用次数: 6

Food trend based on social media for big data analysis using K-mean clustering and SAW: A case study on yogyakarta culinary industry 基于k -均值聚类和SAW的社交媒体大数据食物趋势分析——以日惹烹饪产业为例

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350805

Mihuandayani, Herda D. Ramandita, A. Setyanto, I. B. Sumafta

{"title":"Food trend based on social media for big data analysis using K-mean clustering and SAW: A case study on yogyakarta culinary industry","authors":"Mihuandayani, Herda D. Ramandita, A. Setyanto, I. B. Sumafta","doi":"10.1109/ICOIACT.2018.8350805","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350805","url":null,"abstract":"Tracking customer preferences is an important aspect of business success. Having information on hand about most favorite food is a key success for everyone who takes apart in the culinary business. Exact sales data on certain food is hardly available to the public. Restaurant owner tends to keep their data for their own business strategy. Therefore, generating a food trend in a certain community is hardly possible using food sales data. This paper discussed extracting food general trend from social media, with the case study on Twitter data with a certain regional area of interest. Social media provides a tremendous amount of data including people choice of food when they visit the certain place. However, the available data is unstructured in human language. The challenge is twofold: to grasp the meaning and extract the relevant information to the food trends. We proposed a bag of words technique to gather relevant information in the Indonesian language for feature extracting purpose. While K-mean Clustering and Simple Additive Weighting (SAW) algorithm are proposed to draw up the food rank. In order to measure the accuracy, we compare our result with the sales data of some restaurants in Yogyakarta. We test the algorithm using 4 weeks of data, the result is compared against the available data and an accuracy of 72.75 % is achieved.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"10 1","pages":"549-554"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90287218","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 motion tracking for dance visualization using Kalman filters 实时运动跟踪舞蹈可视化使用卡尔曼滤波器

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350669

Karina Abramova, A. Corradini, Jesper Nordentoft

引用次数: 0

Detection of organic solvent compounds using optical fiber interferometer array and neural network pattern recognition 利用光纤干涉仪阵列和神经网络模式识别检测有机溶剂化合物

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350681

D. R. Pambudi, M. Rivai, A. Arifin

{"title":"Detection of organic solvent compounds using optical fiber interferometer array and neural network pattern recognition","authors":"D. R. Pambudi, M. Rivai, A. Arifin","doi":"10.1109/ICOIACT.2018.8350681","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350681","url":null,"abstract":"Organic solvent compounds are widely used as production raw materials in the field of chemical industry. Organic compounds are easily changed from liquid to gas conditions at room temperature. Organic solvent compounds are commonly found as gases or vapors, which are flammable, toxic, and explosive. The identification of the gas sensor is required in identifying and classifying some gases of volatile organic compounds, especially to monitor the condition of the organic solvent vapor pollutants in the environment. The latest development of gas sensor was designed based on the optical field by using Fabry-Perot interferometer which is applied to optical fiber to increase the sensitivity of gas sensor. The gas sensor was designed by coating chemical membranes on the tip of the optical fiber to increase the sensor selectivity. Three different types of chemical membranes are coated on the same three optical fibers placed in the sensor chamber. In this study, sensor output data are interpreted into digital form through analog-to-digital converter, while data processing and identification are performed by computer. The identification process of organic solvent is done by using artificial neural network algorithm. The results show that the sensor array could produce a different pattern for each of the gas vapor samples. The Neural network pattern recognition system can identify the type of vapor with 100% accuracy rate. Identification of organic solvent compound types, may be used to detect low-vapor gas vapor exposure applied in monitoring activities and analysis of organic solvent vapor.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"30 1","pages":"477-482"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84378741","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: 5

Door automation system based on speech command and PIN using Android smartphone 基于语音指令和PIN码的Android智能手机门自动化系统

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350715

Retha Dinar Hayu Arifin, R. Sarno

{"title":"Door automation system based on speech command and PIN using Android smartphone","authors":"Retha Dinar Hayu Arifin, R. Sarno","doi":"10.1109/ICOIACT.2018.8350715","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350715","url":null,"abstract":"Home automation is the implementation of information technology and control system to facilitate the daily life easier. The growth of technology make smartphone can control the home appliances. An automated device can work more flexible and efficient, including the use in unlocking door. For busy family or busy people, it is not easy to get out of the seat only to reach the door for unlocking people that already have known and made appointment before. The proposed system presents friendly expense design and implementation of home automation to unlock the door with authentication through speech command or pin via smartphone application. So, it is not only the open button from smartphone application that anyone can control, but also it is added an interface for speech command or pin which also can be useful as security. Users can change the password used by themselves. Thus, only users who know the password can control to unlock the door. The smartphone application designed facilitate the users to be free to choose the authentication between speech command or pin. In speech command, users can easily open the door with say it. Another work being tried is open the door with pin. It can help disabled people with speech impaired to be still able use the application. The design of proposed method is based on Android smartphone application, Bluetooth module and Arduino Board. Android smartphone application is used for serial communication to the Bluetooth module which is connected in Arduino Board to unlock the door. Besides it has low cost, Bluetooth based wireless home automation system can be easy implemented in the home. The suggested system is tested and it gives the expected system with more feature as authentication, either with speech command or with pin. Speech command enacted to the system is also tested the Bluetooth connectivity. The farthest range is 14 m to the controlled hardware system.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"127 1","pages":"667-672"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86414026","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: 9

Application of Bayesian network model in determining the risk of building damage caused by earthquakes 贝叶斯网络模型在确定地震建筑物破坏风险中的应用

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350776

D. P. Sari, D. Rosadi, A. R. Effendie, Danardono

引用次数: 9

CCTV traffic congestion analysis at Pejompongan using case based reasoning 使用基于案例推理的佩宗蓬岸闭路电视交通拥堵分析

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350807

Surjandy, Firman Anindra, Haryono Soeparno, T. A. Napitupulu

{"title":"CCTV traffic congestion analysis at Pejompongan using case based reasoning","authors":"Surjandy, Firman Anindra, Haryono Soeparno, T. A. Napitupulu","doi":"10.1109/ICOIACT.2018.8350807","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350807","url":null,"abstract":"Congestion in Jakarta is a chronic problem and is still being sought. The growing city of Jakarta is facing various international events, increasing the complexity of these congestion problems. This research is aimed to propose an alternative solution for congestion problem in Jakarta using Cased-Based Reasoning (CBR) approach on Pejompongan area. The CBR integrated model analyzes congestion at a given point in a particular hour to identify the same case. The Cased-Based Management (CBM) algorithm approach is used to capture transient problems and ultimately reduce case base cases for their contribution to long-term maintenance. Congestion data is obtained from CCTV cameras via website lewatmana.com in some strategic areas. With that data, we use CBR's integrated model to adjust traffic time for traffic flow to be optimized so that congestion will decompose. The results of this study can be used by relevant government agencies and policymakers in Jakarta to formulate the best solution to solve the congestion problem in the Indonesian capital. Image analysis at nights and bad weather conditions become a limitation and also the integration with traffic lights control in this paper that can be a new topic for further research.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"98 1","pages":"861-865"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85327080","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: 6

Modeling the household milk consumption data by endogenous Bayesian Tobit Quantile (BTQ) regression in sidoarjo 基于内源性贝叶斯Tobit分位数(BTQ)回归的家庭牛奶消费数据建模

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350781

Sartika Wulandari, I. Zain, S. Rahayu

{"title":"Modeling the household milk consumption data by endogenous Bayesian Tobit Quantile (BTQ) regression in sidoarjo","authors":"Sartika Wulandari, I. Zain, S. Rahayu","doi":"10.1109/ICOIACT.2018.8350781","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350781","url":null,"abstract":"In surveys conducted by Badan Pusat Statistik (BPS), such as SUSENAS, many households do not allocate expenditures for certain types of consumer goods. This causes a lot of censored data. An example of such expenditure is spending on milk consumption. Previous studies that analyzed household expenditure for milk consumption were conducted using the Bayesian Tobit Quantile (BTQ) model. However, the research has not been able to include household income variable that is not linear. This raises the assumption that the variable is endogenous. If the endogenous variable is used in BTQ model, the result of parameter estimation will be biased. Thus, an alternative model that can accommodate the endogenous variables is required. Based on the descriptions, this research used Endogenous Bayesian Tobit Quantile (BTQ) model. The variables used are household expenditures for milk consumption as the censored response variable, household income as the endogenous variable, household head education, percentage of household expenditure for food, numbers of household member, percentage of household member aged < 12 years, average of per capita expenditure, and percentage of working household member as the exogenous variables, and working hours of household head as the instrumantal variable. Furthermore, Endogenous BTQ models for household expenditure data for milk consumption are compared with both Tobit Quantile (TQ) and BTQ models using RMSE and the result is Endogenous BTQ models perform better when endogenous problems arise. In addition, it was found that from the data, significant endogeneity was found on the left side of 0.55-th quantile and on the right side of 0.80-th quantile. It's also found that in the lower quantiles, the percentage of household expenditure on food does not significantly affect household expenditure for milk consumption. Besides, in the upper quantile the percentage of household member aged < 12 years have no significant effect.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"11 1","pages":"753-758"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87281214","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

Risk and countermeasure analysis of network-based global airplane tracking system 基于网络的全球飞机跟踪系统风险及对策分析

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350732

Zhi-jun Wu, Xuan Liu, Akhmad Dahlan

引用次数: 0

Model predictive control on dual axis solar tracker using Matlab/Simulink simulation 利用Matlab/Simulink对双轴太阳跟踪器的模型预测控制进行仿真

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350791

M. Ikhwan, Mardlijah, C. Imron

引用次数: 9