Pub Date : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350762
Raihan Islamadina, Nuriza Pramita, F. Arnia, K. Munadi
Nowadays, the fish weight measurement is still done manually by using the scales tool. It can lead to difficulties that are considered inaccurate, less effective and require a long time, especially in large quantities. In consequence, a method to measure the weight of the fish automatically based on visual capture is necessary so measuring fish become more effective and efficient. First stage starts from taking picture of the fish using digital camera. The picture will be pre-processed to get grayscale image. Grayscale image is segmented object in the form of separation of objects that are not needed in the fish image. Followed by the feature extraction process in calculating the weight of the fish from the average value of calibration automatically obtained the length, width and height of the fish. The results showed that the method to measure the weight of the fish automatically based on visual capture is able to produce the accuracy validity level from 80% to 97%.
{"title":"Estimating fish weight based on visual captured","authors":"Raihan Islamadina, Nuriza Pramita, F. Arnia, K. Munadi","doi":"10.1109/ICOIACT.2018.8350762","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350762","url":null,"abstract":"Nowadays, the fish weight measurement is still done manually by using the scales tool. It can lead to difficulties that are considered inaccurate, less effective and require a long time, especially in large quantities. In consequence, a method to measure the weight of the fish automatically based on visual capture is necessary so measuring fish become more effective and efficient. First stage starts from taking picture of the fish using digital camera. The picture will be pre-processed to get grayscale image. Grayscale image is segmented object in the form of separation of objects that are not needed in the fish image. Followed by the feature extraction process in calculating the weight of the fish from the average value of calibration automatically obtained the length, width and height of the fish. The results showed that the method to measure the weight of the fish automatically based on visual capture is able to produce the accuracy validity level from 80% to 97%.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"37 1","pages":"366-372"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88367482","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}
Pub Date : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350805
Mihuandayani, Herda D. Ramandita, A. Setyanto, I. B. Sumafta
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.
{"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}
Pub Date : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350669
Karina Abramova, A. Corradini, Jesper Nordentoft
This paper explores an application of Kalman filters for real-time dance visualization within the Unity3d framework. Experiments performed with camera-based motion sensors indicate that Kalman filter implementation can benefit the process of content development for real-time visualization of dance performances. Moreover, we showed that Kalman filters could be used for generating real-time visuals of dance performances. While the scope of this project is limited to dance visualizations our prototype can be extended to become a useful tool for practitioners to identify any movement dysfunctions, and to educate patients with musculoskeletal impairments on their movements.
{"title":"Real-time motion tracking for dance visualization using Kalman filters","authors":"Karina Abramova, A. Corradini, Jesper Nordentoft","doi":"10.1109/ICOIACT.2018.8350669","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350669","url":null,"abstract":"This paper explores an application of Kalman filters for real-time dance visualization within the Unity3d framework. Experiments performed with camera-based motion sensors indicate that Kalman filter implementation can benefit the process of content development for real-time visualization of dance performances. Moreover, we showed that Kalman filters could be used for generating real-time visuals of dance performances. While the scope of this project is limited to dance visualizations our prototype can be extended to become a useful tool for practitioners to identify any movement dysfunctions, and to educate patients with musculoskeletal impairments on their movements.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"129 1","pages":"343-347"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82221036","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}
Pub Date : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350681
D. R. Pambudi, M. Rivai, A. Arifin
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.
{"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}
Pub Date : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350715
Retha Dinar Hayu Arifin, R. Sarno
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.
{"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}
Pub Date : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350776
D. P. Sari, D. Rosadi, A. R. Effendie, Danardono
Indonesia is one country that could potentially tectonic earthquakes. This is caused by the position of Indonesia is located at the junction of three major tectonic plates; the Indo-Australian, the Eurasian and Pacific. This earthquake impacts a huge loss both loss of life and property. It can be seen during the earthquake that struck Indonesia precisely in Padang at the end of 2009. One of these objects is building property losses. To minimize the potential losses of buildings due to earthquakes must be known the possibility of building in a location will be damaged by the earthquake. Various ways have been done to predict the level of damage to buildings, one of which is the Bayesian network model.
{"title":"Application of Bayesian network model in determining the risk of building damage caused by earthquakes","authors":"D. P. Sari, D. Rosadi, A. R. Effendie, Danardono","doi":"10.1109/ICOIACT.2018.8350776","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350776","url":null,"abstract":"Indonesia is one country that could potentially tectonic earthquakes. This is caused by the position of Indonesia is located at the junction of three major tectonic plates; the Indo-Australian, the Eurasian and Pacific. This earthquake impacts a huge loss both loss of life and property. It can be seen during the earthquake that struck Indonesia precisely in Padang at the end of 2009. One of these objects is building property losses. To minimize the potential losses of buildings due to earthquakes must be known the possibility of building in a location will be damaged by the earthquake. Various ways have been done to predict the level of damage to buildings, one of which is the Bayesian network model.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"135 1","pages":"131-135"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88000527","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}
Pub Date : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350807
Surjandy, Firman Anindra, Haryono Soeparno, T. A. Napitupulu
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.
{"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}
Pub Date : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350781
Sartika Wulandari, I. Zain, S. Rahayu
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.
{"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}
Pub Date : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350732
Zhi-jun Wu, Xuan Liu, Akhmad Dahlan
The mysterious disappearance of MH370 flight is incredible in current air traffic management (ATM) with the rapid development of modern communication technology. In this paper, the vulnerabilities of communication technology and safety management on airplane tracking are explored through several existing methods and means. Then the proposals, for airborne communication, navigation, and surveillance system and safety management from internal and external factors, are put forward respectively to improve the ability of emergency response and disaster recovery for flight.
{"title":"Risk and countermeasure analysis of network-based global airplane tracking system","authors":"Zhi-jun Wu, Xuan Liu, Akhmad Dahlan","doi":"10.1109/ICOIACT.2018.8350732","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350732","url":null,"abstract":"The mysterious disappearance of MH370 flight is incredible in current air traffic management (ATM) with the rapid development of modern communication technology. In this paper, the vulnerabilities of communication technology and safety management on airplane tracking are explored through several existing methods and means. Then the proposals, for airborne communication, navigation, and surveillance system and safety management from internal and external factors, are put forward respectively to improve the ability of emergency response and disaster recovery for flight.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"2 1","pages":"292-296"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90454766","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}
Pub Date : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350791
M. Ikhwan, Mardlijah, C. Imron
Solar tracker in photo voltaic (PV) conversion technology becomes one of the most important factors in harvesting renewable energy. The development of this technology improved the efficiency of PV. This paper aimed to control PV position which is perpendicular to the direction of solar radiation. The solar altitude and azimuth angle were approached with pitch and yaw angle of solar tracker motor using model predictive control in Simulink package in Matlab. Results showed that the error value between solar tracker motor angle and solar angle is not significant.
{"title":"Model predictive control on dual axis solar tracker using Matlab/Simulink simulation","authors":"M. Ikhwan, Mardlijah, C. Imron","doi":"10.1109/ICOIACT.2018.8350791","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350791","url":null,"abstract":"Solar tracker in photo voltaic (PV) conversion technology becomes one of the most important factors in harvesting renewable energy. The development of this technology improved the efficiency of PV. This paper aimed to control PV position which is perpendicular to the direction of solar radiation. The solar altitude and azimuth angle were approached with pitch and yaw angle of solar tracker motor using model predictive control in Simulink package in Matlab. Results showed that the error value between solar tracker motor angle and solar angle is not significant.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"24 1","pages":"784-788"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84980291","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}
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