Datamining is a technique that uses several methods to find patterns or getting required information from database which can be used in decision support and predictions areas. In this research work an intelligent and effective system using Naïve Bayes modeling technique is analyzed for prediction of heart disease. User need to provide required values to the attributes for the application that is implemented as web based. The data is taken from database and relates trained data with user input value. Traditional systems cannot accurately find heart disease but this work can assist doctors to take correct decisions. Naïve Bayes for classification purpose to detect heart disease is used and this approach classifies output data as no, low, average, high and very high. Hence two basic functions namely classification and prediction is be performed. Accuracy of the system depends on algorithm and database used and with the Naïve Bayes Weighted Approach (NBwa) an accuracy of 86% is obtained.
{"title":"Web Analytics Support System for Prediction of Heart Disease Using Naive Bayes Weighted Approach (NBwa)","authors":"P. Priyanga, N. Naveen","doi":"10.1109/AMS.2017.12","DOIUrl":"https://doi.org/10.1109/AMS.2017.12","url":null,"abstract":"Datamining is a technique that uses several methods to find patterns or getting required information from database which can be used in decision support and predictions areas. In this research work an intelligent and effective system using Naïve Bayes modeling technique is analyzed for prediction of heart disease. User need to provide required values to the attributes for the application that is implemented as web based. The data is taken from database and relates trained data with user input value. Traditional systems cannot accurately find heart disease but this work can assist doctors to take correct decisions. Naïve Bayes for classification purpose to detect heart disease is used and this approach classifies output data as no, low, average, high and very high. Hence two basic functions namely classification and prediction is be performed. Accuracy of the system depends on algorithm and database used and with the Naïve Bayes Weighted Approach (NBwa) an accuracy of 86% is obtained.","PeriodicalId":219494,"journal":{"name":"2017 Asia Modelling Symposium (AMS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125059994","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}
This paper presents a preliminary investigation ofusing motion detection algorithms in a commercial drone aspart of a surveillance system. Frame differencing is used in thealgorithm as it is an effective and an efficient way for detectingand tracking moving objects. We explore ways in which thedrone can make decisions autonomously, based on informationextracted from moving objects in views and for applicationssuch as agriculture, hunting, public safety and land surveying.
{"title":"Motion Detection Using Drone's Vision","authors":"S. Yong, Alvin Lee Wai Chung, W. Yeap, P. Sallis","doi":"10.1109/AMS.2017.25","DOIUrl":"https://doi.org/10.1109/AMS.2017.25","url":null,"abstract":"This paper presents a preliminary investigation ofusing motion detection algorithms in a commercial drone aspart of a surveillance system. Frame differencing is used in thealgorithm as it is an effective and an efficient way for detectingand tracking moving objects. We explore ways in which thedrone can make decisions autonomously, based on informationextracted from moving objects in views and for applicationssuch as agriculture, hunting, public safety and land surveying.","PeriodicalId":219494,"journal":{"name":"2017 Asia Modelling Symposium (AMS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125540784","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}
Abul Al Arabi, Rayhan Sardar Tipu, M. R. Bashar, B. Barman, Shama Ali Monicay, Md. Ashraful Amin
Robots are getting smarter everyday with the implementation of computer vision system in it. It is now highly required for any robot to have a natural vision system or more likely humanoid vision system to interact with real life incidents. On the perspective of such imaging and vision, we propose an efficient method in order to determine the absolute view point of any desired image location. We used self calibration system and humanoid vision mechanism via stereo cameras to find the region of convergent of an object which with the help of a mathematical model can measure the distance of the object. With comparing different objects position it is also possible to determine the relative distance of the objects. Our system shows that, the real human eye tracking system used, can be possible for getting a realistic view of the image at the 3D point positioning.
{"title":"Implementation of Low Cost Stereo Humanoid Adaptive Vision for 3D Positioning and Distance Measurement for Robotics Application with Self-Calibration","authors":"Abul Al Arabi, Rayhan Sardar Tipu, M. R. Bashar, B. Barman, Shama Ali Monicay, Md. Ashraful Amin","doi":"10.1109/AMS.2017.21","DOIUrl":"https://doi.org/10.1109/AMS.2017.21","url":null,"abstract":"Robots are getting smarter everyday with the implementation of computer vision system in it. It is now highly required for any robot to have a natural vision system or more likely humanoid vision system to interact with real life incidents. On the perspective of such imaging and vision, we propose an efficient method in order to determine the absolute view point of any desired image location. We used self calibration system and humanoid vision mechanism via stereo cameras to find the region of convergent of an object which with the help of a mathematical model can measure the distance of the object. With comparing different objects position it is also possible to determine the relative distance of the objects. Our system shows that, the real human eye tracking system used, can be possible for getting a realistic view of the image at the 3D point positioning.","PeriodicalId":219494,"journal":{"name":"2017 Asia Modelling Symposium (AMS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129420332","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}
Zdeněk Biolek, V. Biolková, Jan Voralek, D. Biolek
The paper deals with the emulation of two-terminal analog electronic devices using digital signal processing inside the loop. Such devices can be used for performing circuit experiments when physical parts are not available or even discovered. A microcontroller measures terminal voltage or current and computes current or voltage response. Based on our previous work the paper analyzes the emulator with voltage-controlled current source for emulating resistive and inductive devices. A new configuration for resistive systems is proposed, which extends the region of stable operation. A digital compensation of parasitic effects of the smoothing filter and zero-order-hold DA converter is presented both for resistive and inductive systems.
{"title":"Digitally Emulated Electronic Devices","authors":"Zdeněk Biolek, V. Biolková, Jan Voralek, D. Biolek","doi":"10.1109/AMS.2017.36","DOIUrl":"https://doi.org/10.1109/AMS.2017.36","url":null,"abstract":"The paper deals with the emulation of two-terminal analog electronic devices using digital signal processing inside the loop. Such devices can be used for performing circuit experiments when physical parts are not available or even discovered. A microcontroller measures terminal voltage or current and computes current or voltage response. Based on our previous work the paper analyzes the emulator with voltage-controlled current source for emulating resistive and inductive devices. A new configuration for resistive systems is proposed, which extends the region of stable operation. A digital compensation of parasitic effects of the smoothing filter and zero-order-hold DA converter is presented both for resistive and inductive systems.","PeriodicalId":219494,"journal":{"name":"2017 Asia Modelling Symposium (AMS)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134450476","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}
this paper describes the relationship of climate toatmospheric particulate matter. The climate factors ofprecipitation, humidity, temperature and wind speed aremapped to the fine-particulate substances measured as being 2.5micrometers in diameter (PM2.5). Using the climate variablesas indicators, the paper illustrates a method for estimating theconcentration potential for PM2.5 in the near-groundatmosphere. The preferred method described is selected fromthree analytical approaches compared using a common data set.The three methods used are Multiple Linear Regression (MLR),Multilayer Perceptron (MLP) and Fuzzy Neural Networksmetho
{"title":"Modelling Climate Data Factors Influencing Fine-Particulate Matter Density in the Near-Ground Atmosphere","authors":"A. Ghobakhlou, S. Zandi, P. Sallis","doi":"10.1109/AMS.2017.15","DOIUrl":"https://doi.org/10.1109/AMS.2017.15","url":null,"abstract":"this paper describes the relationship of climate toatmospheric particulate matter. The climate factors ofprecipitation, humidity, temperature and wind speed aremapped to the fine-particulate substances measured as being 2.5micrometers in diameter (PM2.5). Using the climate variablesas indicators, the paper illustrates a method for estimating theconcentration potential for PM2.5 in the near-groundatmosphere. The preferred method described is selected fromthree analytical approaches compared using a common data set.The three methods used are Multiple Linear Regression (MLR),Multilayer Perceptron (MLP) and Fuzzy Neural Networksmetho","PeriodicalId":219494,"journal":{"name":"2017 Asia Modelling Symposium (AMS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132991020","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}
The dc-dc boost converter is one of the main components in any solar energy system. However, traditional boost converter cannot meet the demand on higher step-up ratio required of the system. Voltage lift technique has made a great success in improving the dc-dc boost converter design. This technique can largely increase the output voltage step-up ratio stage-by-stage. The quadratic dc-dc boost converter has a higher step-up ratio and also a good power transferring efficiency during continuous conduction mode (CCM). In this paper, the basic quadratic boost converter is modified by the voltage lift technique to further increase the step-up ratio. The mathematical analysis and simulation results presented in the paper will illustrate the capacity and potential value of this improvement.
{"title":"Improved Quadratic Boost Converter Based on the Voltage Lift Technique","authors":"Yiyang Li, S. Sathiakumar","doi":"10.1109/AMS.2017.30","DOIUrl":"https://doi.org/10.1109/AMS.2017.30","url":null,"abstract":"The dc-dc boost converter is one of the main components in any solar energy system. However, traditional boost converter cannot meet the demand on higher step-up ratio required of the system. Voltage lift technique has made a great success in improving the dc-dc boost converter design. This technique can largely increase the output voltage step-up ratio stage-by-stage. The quadratic dc-dc boost converter has a higher step-up ratio and also a good power transferring efficiency during continuous conduction mode (CCM). In this paper, the basic quadratic boost converter is modified by the voltage lift technique to further increase the step-up ratio. The mathematical analysis and simulation results presented in the paper will illustrate the capacity and potential value of this improvement.","PeriodicalId":219494,"journal":{"name":"2017 Asia Modelling Symposium (AMS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134631420","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}
Health monitoring and management of power transformer is one of significant issues for the whole smart grid. This paper proposed an energy-effective approach utilizing surrounding electro-magnetic energy both from power lines and RFID readers, the design architecture of RFID sensor tag and its self-powered circuit were illustrated in detail, the recommended parameters have also be provided and verified after the theoretical derivation of the energy harvester. The experimental results from our realized prototype show that the proposed method is reliable and robust enough for real applications on the online fault diagnosis of power transformer winding, with more than 80% successful ratio while 13 m maximum communication distance without any auxiliary battery.
{"title":"Battery-Free and Energy-Effective RFID Sensor Tag for Health Monitoring in Smart Grid","authors":"Qiwu Luo, Tao Wang, Yigang He","doi":"10.1109/AMS.2017.35","DOIUrl":"https://doi.org/10.1109/AMS.2017.35","url":null,"abstract":"Health monitoring and management of power transformer is one of significant issues for the whole smart grid. This paper proposed an energy-effective approach utilizing surrounding electro-magnetic energy both from power lines and RFID readers, the design architecture of RFID sensor tag and its self-powered circuit were illustrated in detail, the recommended parameters have also be provided and verified after the theoretical derivation of the energy harvester. The experimental results from our realized prototype show that the proposed method is reliable and robust enough for real applications on the online fault diagnosis of power transformer winding, with more than 80% successful ratio while 13 m maximum communication distance without any auxiliary battery.","PeriodicalId":219494,"journal":{"name":"2017 Asia Modelling Symposium (AMS)","volume":"75 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114042507","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}
Autonomous mapping of unknown environments is a well-known problem in the field of robotics. The autonomous mapping process involves localisation, mapping, and exploration. With the emergence of unmanned aerial vehicles, there is now a need for autonomous exploration algorithms that work in tandem with simultaneous localisation and mapping (SLAM) algorithms to map three dimensional spaces efficiently. Frontier based exploration technique is a frequently used autonomous exploration strategy for two dimensional environments. This paper proposes a modified frontier based exploration technique for efficient mapping of three dimensional environments. A novel approach is presented wherein the three dimensional space is divided into cells of fixed resolution. Frontier cells which represent the boundary between known and unknown regions are identified and then clustered using a combination of k-means and divisive clustering. A unique cost function is then evaluated to choose an optimal cluster to visit. Finally, Dijkstra's shortest path algorithm is applied to choose intermediate clusters that can be visited while travelling to the chosen optimal cluster in order to increase the efficiency of the proposed technique. A simulation based model is developed on the popular Robot Operating System platform and the proposed method is tested on two different simulated environments. To validate the efficacy of the method, it is compared with the classic nearest frontier exploration technique.
{"title":"Frontier Exploration Technique for 3D Autonomous SLAM Using K-Means Based Divisive Clustering","authors":"Samaahita S. Belavadi, Rishabh Beri, Vidhu Malik","doi":"10.1109/AMS.2017.23","DOIUrl":"https://doi.org/10.1109/AMS.2017.23","url":null,"abstract":"Autonomous mapping of unknown environments is a well-known problem in the field of robotics. The autonomous mapping process involves localisation, mapping, and exploration. With the emergence of unmanned aerial vehicles, there is now a need for autonomous exploration algorithms that work in tandem with simultaneous localisation and mapping (SLAM) algorithms to map three dimensional spaces efficiently. Frontier based exploration technique is a frequently used autonomous exploration strategy for two dimensional environments. This paper proposes a modified frontier based exploration technique for efficient mapping of three dimensional environments. A novel approach is presented wherein the three dimensional space is divided into cells of fixed resolution. Frontier cells which represent the boundary between known and unknown regions are identified and then clustered using a combination of k-means and divisive clustering. A unique cost function is then evaluated to choose an optimal cluster to visit. Finally, Dijkstra's shortest path algorithm is applied to choose intermediate clusters that can be visited while travelling to the chosen optimal cluster in order to increase the efficiency of the proposed technique. A simulation based model is developed on the popular Robot Operating System platform and the proposed method is tested on two different simulated environments. To validate the efficacy of the method, it is compared with the classic nearest frontier exploration technique.","PeriodicalId":219494,"journal":{"name":"2017 Asia Modelling Symposium (AMS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114770400","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}
N. S. Khalid, A. Abdullah, S. Shukor, F. A.S, H. Mansor, N.D.N. Dalila
Non-destructive methods for fruit quality monitoring are greatly relevant for process control in the food quality industry. One of the properties of Mangifera Indica L. (Mango) that could be used as a basis for non-destructive quality evaluation is specific gravity. With this respect, specific gravity was evaluated to predict the internal quality of the Mango. Specific gravity is the ratio of the fruits to the density of the water. Traditionally, in adapting the specific gravity approach, farmers and agriculturist will estimate the maturity of the Mango by using floating techniques based on differences in density. However, this is inconvenient and time consuming. Based on the specific gravity value, the maturity of the Mango can be estimate. Hence, image processing techniques were proposed to estimate the specific gravity of Mango. The predicted specific gravity of 50 mangoes were used and compared with the actual result with high correlation of R=75.69%.The result showed the image processing techniques can be applied for non-destructive Mango quality evaluation based on specific gravity.
{"title":"Non-Destructive Technique based on Specific Gravity for Post-harvest Mangifera Indica L. Cultivar Maturity","authors":"N. S. Khalid, A. Abdullah, S. Shukor, F. A.S, H. Mansor, N.D.N. Dalila","doi":"10.1109/AMS.2017.26","DOIUrl":"https://doi.org/10.1109/AMS.2017.26","url":null,"abstract":"Non-destructive methods for fruit quality monitoring are greatly relevant for process control in the food quality industry. One of the properties of Mangifera Indica L. (Mango) that could be used as a basis for non-destructive quality evaluation is specific gravity. With this respect, specific gravity was evaluated to predict the internal quality of the Mango. Specific gravity is the ratio of the fruits to the density of the water. Traditionally, in adapting the specific gravity approach, farmers and agriculturist will estimate the maturity of the Mango by using floating techniques based on differences in density. However, this is inconvenient and time consuming. Based on the specific gravity value, the maturity of the Mango can be estimate. Hence, image processing techniques were proposed to estimate the specific gravity of Mango. The predicted specific gravity of 50 mangoes were used and compared with the actual result with high correlation of R=75.69%.The result showed the image processing techniques can be applied for non-destructive Mango quality evaluation based on specific gravity.","PeriodicalId":219494,"journal":{"name":"2017 Asia Modelling Symposium (AMS)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134304242","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}
The described methods are devoted to developing of some strategies to avoid unnecessary hospital admissions on the base of a prediction of the possible future days in hospital based on previous claims and previous days in hospital statistics of a patient. Since often input data are not complete, a method of missing data restoring on the base of a similarity principle was represented first. The wishful prediction method is elaborated after data clustering and establishing of relations between different clusters. Also another approach to the prediction was introduced: the idea is based on a modeling of the Markov process with relation to the data. Both methods facilitate the production of algorithms and further precise calculations. More general computational topology method for different type of predictions was elaborated as well.
{"title":"Predictions Based on the Rectification and Processing of Noisy Data","authors":"O. Artamonov","doi":"10.1109/AMS.2017.16","DOIUrl":"https://doi.org/10.1109/AMS.2017.16","url":null,"abstract":"The described methods are devoted to developing of some strategies to avoid unnecessary hospital admissions on the base of a prediction of the possible future days in hospital based on previous claims and previous days in hospital statistics of a patient. Since often input data are not complete, a method of missing data restoring on the base of a similarity principle was represented first. The wishful prediction method is elaborated after data clustering and establishing of relations between different clusters. Also another approach to the prediction was introduced: the idea is based on a modeling of the Markov process with relation to the data. Both methods facilitate the production of algorithms and further precise calculations. More general computational topology method for different type of predictions was elaborated as well.","PeriodicalId":219494,"journal":{"name":"2017 Asia Modelling Symposium (AMS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127690822","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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