Pub Date : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932754
A. Elbaz, M. Güneser
To design an efficient, sustainable and feasible hybrid system sizing optimization should be applied. In this study, a hybrid power plant, which consists of an off-grid PV and wind energy system to supply the demand of solar energy research center in Libya, was designed. Crow search technique was applied to decrease the installation cost and operating cost by sizing each part of hybrid system. We optimized the number of PV modules, powers of wind turbines and capacities batteries. After offering the design of hybrid system, we compared performance of crow algorithm with particle swarm optimization algorithm performance. Regarding the comparison, crow algorithm results sign a better performance for sizing a lower cost hybrid power plant consists of PV and wind systems.
{"title":"Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya","authors":"A. Elbaz, M. Güneser","doi":"10.1109/ISMSIT.2019.8932754","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932754","url":null,"abstract":"To design an efficient, sustainable and feasible hybrid system sizing optimization should be applied. In this study, a hybrid power plant, which consists of an off-grid PV and wind energy system to supply the demand of solar energy research center in Libya, was designed. Crow search technique was applied to decrease the installation cost and operating cost by sizing each part of hybrid system. We optimized the number of PV modules, powers of wind turbines and capacities batteries. After offering the design of hybrid system, we compared performance of crow algorithm with particle swarm optimization algorithm performance. Regarding the comparison, crow algorithm results sign a better performance for sizing a lower cost hybrid power plant consists of PV and wind systems.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115975504","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932730
M. S. Mohammed, Seda Ustun Ercan
In this paper, safety based smart car parking guidance system has been designed and implemented using global system for mobile communications (GSM) technology and zigbee technology. It assists the drivers to overcome parking problems that usually occur in the urban areas, like time being wasted in looking for an available parking lot and keep on circling until they find a vacant parking spot. This system includes three modules: First, monitoring module; the drivers check on their mobile phones for an available parking spot in real time before arriving using short message service (SMS) without having to go online. Second, guidance module; an approach was suggested to determine the nearest vacant parking spots within the parking lot. This approach depends on the location of the vacant parking spot to the parking lot entrance, exite and pedestrian exit location. Third, safety module; the aim of designing this module is to provide a real time system capable of monitoring sudden events in the parking lot. In case of any emergency, the drivers will be alerted automatically through SMS.
{"title":"Safety Based Smart Parking Guidance System Using GSM and Zigbee","authors":"M. S. Mohammed, Seda Ustun Ercan","doi":"10.1109/ISMSIT.2019.8932730","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932730","url":null,"abstract":"In this paper, safety based smart car parking guidance system has been designed and implemented using global system for mobile communications (GSM) technology and zigbee technology. It assists the drivers to overcome parking problems that usually occur in the urban areas, like time being wasted in looking for an available parking lot and keep on circling until they find a vacant parking spot. This system includes three modules: First, monitoring module; the drivers check on their mobile phones for an available parking spot in real time before arriving using short message service (SMS) without having to go online. Second, guidance module; an approach was suggested to determine the nearest vacant parking spots within the parking lot. This approach depends on the location of the vacant parking spot to the parking lot entrance, exite and pedestrian exit location. Third, safety module; the aim of designing this module is to provide a real time system capable of monitoring sudden events in the parking lot. In case of any emergency, the drivers will be alerted automatically through SMS.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116116213","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932918
Mariama Ali Garba, B. Yesi̇lata
Hybrid Photovoltaic/Thermal systems, also called as PV/T systems or solar cogeneration systems, are innovative power generation technologies that convert solar radiation into usable thermal and electrical energy. Such systems combine a solar cell, which convert sunlight into electricity, with a solar thermal collector, which captures the remaining energy and removes waste heat from PV module. PV/T systems have a greater overall performance than the PV systems and solar thermal systems separately. In order to improve the performance of PV/T systems a lot of the studies have been done and researchers still keep on investigating these systems.A comprehensive review on these previous research studies are presented here. Many methods and approaches to enhance the performance of the PV/T systems are discussed along with the mathematical models used. The gaps in existing literature are identified and recommendations for future research are precisely outlined. It is emphasized here that only few experimental studies on PV/T systems based nanofluid materials are exist. Therefore, comprehensive experimental studies under real atmospheric conditions should be done with these systems, without neglecting effects of variations in mass flow rate of nanofluids,
{"title":"Use of Hybrid Photovoltaic-Thermal (PV/T) Solar Modules for Enhancing Overall System Efficiency","authors":"Mariama Ali Garba, B. Yesi̇lata","doi":"10.1109/ISMSIT.2019.8932918","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932918","url":null,"abstract":"Hybrid Photovoltaic/Thermal systems, also called as PV/T systems or solar cogeneration systems, are innovative power generation technologies that convert solar radiation into usable thermal and electrical energy. Such systems combine a solar cell, which convert sunlight into electricity, with a solar thermal collector, which captures the remaining energy and removes waste heat from PV module. PV/T systems have a greater overall performance than the PV systems and solar thermal systems separately. In order to improve the performance of PV/T systems a lot of the studies have been done and researchers still keep on investigating these systems.A comprehensive review on these previous research studies are presented here. Many methods and approaches to enhance the performance of the PV/T systems are discussed along with the mathematical models used. The gaps in existing literature are identified and recommendations for future research are precisely outlined. It is emphasized here that only few experimental studies on PV/T systems based nanofluid materials are exist. Therefore, comprehensive experimental studies under real atmospheric conditions should be done with these systems, without neglecting effects of variations in mass flow rate of nanofluids,","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"6 S2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120858049","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932843
S. Eyupoglu
Repellent is a general title for the substance which removes insects from human and domestic animals. Repellent substances are used for blood-sucking and disturbing insects in close and open areas. Repellent substances are extremely useful in the struggle with insects. However, especially synthetic insect repellents are toxin for human and animals. In this study, identification of repellents, mechanism of action, properties of repellents and repellent natural oils are investigated.
{"title":"Investigation of Insect Repellent Essential Oils","authors":"S. Eyupoglu","doi":"10.1109/ISMSIT.2019.8932843","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932843","url":null,"abstract":"Repellent is a general title for the substance which removes insects from human and domestic animals. Repellent substances are used for blood-sucking and disturbing insects in close and open areas. Repellent substances are extremely useful in the struggle with insects. However, especially synthetic insect repellents are toxin for human and animals. In this study, identification of repellents, mechanism of action, properties of repellents and repellent natural oils are investigated.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121303745","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932784
Gözde Yılmaz, D. Yilmaz
In this study; the hitting performances of two missiles with different dynamics modeled at three degrees of freedom are investigated by pure proportional navigation guidance (PPNG) and velocity pursuit guidance (VPG) methods. Simulations are performed for on two scenarios that have stationary and constant velocity target types, and the results are compared in terms of flight time, maximum maneuvering value of the missile and the target capture performance. Simulation results show that SOSG performs better than HTG in both scenarios for two missiles.
{"title":"Evaluation of Pure Proportional Navigation and Velocity Pursuit Guidance Methods for Missiles","authors":"Gözde Yılmaz, D. Yilmaz","doi":"10.1109/ISMSIT.2019.8932784","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932784","url":null,"abstract":"In this study; the hitting performances of two missiles with different dynamics modeled at three degrees of freedom are investigated by pure proportional navigation guidance (PPNG) and velocity pursuit guidance (VPG) methods. Simulations are performed for on two scenarios that have stationary and constant velocity target types, and the results are compared in terms of flight time, maximum maneuvering value of the missile and the target capture performance. Simulation results show that SOSG performs better than HTG in both scenarios for two missiles.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127794073","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932879
Mustafa Bayram Gücen, Hasan Aykut Karaboğa
In this article, we analyzed Pima Indians diabetes data with deep neural network. The data were fuzzified using Gaussian membership function, and also Gaussian function used for normalization. The normalized data and fuzzified data were processed with different deep neural networks. Obtained performance results were compared and performance scores showed that, results obtained with fuzzy data are more effective than the results obtained with normalized data. This new method can be used for the prediction of different medical datasets. Furthermore, it is also possible to benefit from this approach to analyze other type of datasets.
{"title":"Diabetes Data Analysis via Gaussian Membership Functions with Deep Neural Networks","authors":"Mustafa Bayram Gücen, Hasan Aykut Karaboğa","doi":"10.1109/ISMSIT.2019.8932879","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932879","url":null,"abstract":"In this article, we analyzed Pima Indians diabetes data with deep neural network. The data were fuzzified using Gaussian membership function, and also Gaussian function used for normalization. The normalized data and fuzzified data were processed with different deep neural networks. Obtained performance results were compared and performance scores showed that, results obtained with fuzzy data are more effective than the results obtained with normalized data. This new method can be used for the prediction of different medical datasets. Furthermore, it is also possible to benefit from this approach to analyze other type of datasets.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114917649","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932868
Abdullah Taha Arslan, E. Seke
Depth maps depict pixel-wise depth association with a 2D digital image. Point clouds generation and 3D surface reconstruction can be conducted by processing a depth map. Estimating a corresponding depth map from a given input image is an important and difficult task in the computer vision field. Fortunately, with the advent of artificial intelligence, and especially deep learning based techniques new approaches for difficult tasks have been developed. One of the attractive structures is named as Generative Adversarial Network (GAN). However, training a GAN has been reported to be problematic in terms of optimization leading to some convergence issues. Vanishing or exploding gradients and mode collapses are some examples of these issues. Lately, several alternative optimization functions and distance measures have been investigated in order to handle these difficulties. Among these approaches, Wasserstein-1 distance and Wasserstein GAN (WGAN) offers a promising alternative. In this study, Wasserstein functions and its variants are investigated for the depth map estimation task from a given 2D face image. Different network structures are trained and compared in order to assess the effectiveness and stability. Quantitative analysis is conducted by calculating two separate error metrics between the network outputs and ground-truth values.
深度图描述了与二维数字图像的逐像素深度关联。通过深度图的处理，可以实现点云的生成和三维曲面的重建。从给定的输入图像中估计出相应的深度图是计算机视觉领域的一个重要而困难的任务。幸运的是，随着人工智能的出现，特别是基于深度学习的技术，已经开发出了解决困难任务的新方法。其中一种有吸引力的结构被称为生成对抗网络(GAN)。然而，据报道，训练GAN在优化方面存在问题，导致一些收敛问题。消失或爆炸梯度和模式崩溃是这些问题的一些例子。最近，为了解决这些困难，研究了几种备选优化函数和距离度量。在这些方法中，Wasserstein-1距离和Wasserstein GAN (WGAN)提供了一个很有前途的选择。在本研究中，研究了Wasserstein函数及其变体对给定二维人脸图像的深度图估计任务的影响。对不同的网络结构进行训练和比较，以评估其有效性和稳定性。通过计算网络输出与接地真值之间的两个单独的误差度量来进行定量分析。
{"title":"Training Wasserstein GANs for Estimating Depth Maps","authors":"Abdullah Taha Arslan, E. Seke","doi":"10.1109/ISMSIT.2019.8932868","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932868","url":null,"abstract":"Depth maps depict pixel-wise depth association with a 2D digital image. Point clouds generation and 3D surface reconstruction can be conducted by processing a depth map. Estimating a corresponding depth map from a given input image is an important and difficult task in the computer vision field. Fortunately, with the advent of artificial intelligence, and especially deep learning based techniques new approaches for difficult tasks have been developed. One of the attractive structures is named as Generative Adversarial Network (GAN). However, training a GAN has been reported to be problematic in terms of optimization leading to some convergence issues. Vanishing or exploding gradients and mode collapses are some examples of these issues. Lately, several alternative optimization functions and distance measures have been investigated in order to handle these difficulties. Among these approaches, Wasserstein-1 distance and Wasserstein GAN (WGAN) offers a promising alternative. In this study, Wasserstein functions and its variants are investigated for the depth map estimation task from a given 2D face image. Different network structures are trained and compared in order to assess the effectiveness and stability. Quantitative analysis is conducted by calculating two separate error metrics between the network outputs and ground-truth values.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133632621","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932836
Israr Hussain, M. Zohaib, E. Babaei
High Step Up - High voltage gain converter is becoming the most productively converter now a days mostly in hybrid technology, mobile technology and for other portable devices that are in need of high voltages from low voltage input. Furthermore these converters are widely used in battery charging that includes Fuel cells as well. This Thesis discusses Simulate and proposed advancement in Developed High Step up Voltage DC to DC converter. Detailed analysis on Integration of Double Boost – SEPIC and CUK has been proposed. Proposed Topology contains multiple inductors with one controlled switch that will make a control mechanism useful for every application. Secondly voltage stresses across silicon conductor devices are very low. Conduction losses will also be reduced due to low voltage Stress. Reverse recovery current problem is also in under consideration of this thesis that will enables the use of Schotkey rectifiers. The keen purpose of the topology is to obtain the maximum output voltage with maximum voltage gain and less conduction losses reducing input ripple current. Without disturbing characteristics of Topology. A detailed analysis has been done on every converter separately and by integrating all converters to check the results. Mathematical equations are also derived for better understandings and simulation results are obtained as well.
{"title":"Analysis, Design and Simulation of High Step-Up Developed DC-DC Converter","authors":"Israr Hussain, M. Zohaib, E. Babaei","doi":"10.1109/ISMSIT.2019.8932836","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932836","url":null,"abstract":"High Step Up - High voltage gain converter is becoming the most productively converter now a days mostly in hybrid technology, mobile technology and for other portable devices that are in need of high voltages from low voltage input. Furthermore these converters are widely used in battery charging that includes Fuel cells as well. This Thesis discusses Simulate and proposed advancement in Developed High Step up Voltage DC to DC converter. Detailed analysis on Integration of Double Boost – SEPIC and CUK has been proposed. Proposed Topology contains multiple inductors with one controlled switch that will make a control mechanism useful for every application. Secondly voltage stresses across silicon conductor devices are very low. Conduction losses will also be reduced due to low voltage Stress. Reverse recovery current problem is also in under consideration of this thesis that will enables the use of Schotkey rectifiers. The keen purpose of the topology is to obtain the maximum output voltage with maximum voltage gain and less conduction losses reducing input ripple current. Without disturbing characteristics of Topology. A detailed analysis has been done on every converter separately and by integrating all converters to check the results. Mathematical equations are also derived for better understandings and simulation results are obtained as well.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130835090","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932764
Özge P. Akkaş, Ertuğrul Çam
The necessity for Renewable Energy Resources (RES) has become a major issue due to the shortage of adequate fossil fuels recently. In addition to fossil fuel shortages, global warming is also an anxiety for a lot of countries and companies. These problems have led to the addition of a large number of renewable energy sources to modern distribution systems. However, due to the high integration of RES to these systems and the intermittent characteristic of sources such as wind and solar, it causes variable production and uncertainty in the power system. It is proposed as a solution to gather these resources together in order to solve the problems caused by the changeable outputs of these resources. Virtual Power Plant (VPP) is described as the management of distributed generation facilities, energy storage systems and controllable loads by an Energy Management System (EMS). In this study, the VPP model consists of renewable energy sources such as wind power plant (WPP), solar power plant (SPP), biogas power plant (BPP) and pumped hydro storage plant (PHSP) as an energy storage system (ESS). The aim of the VPP is to maximize the net daily profit in a 24 h time interval. The proposed mixed integer linear programming (MILP) optimization problem is modeled in GAMS software and solved using CPLEX.
{"title":"Optimal Operation of Virtual Power Plant in a Day Ahead Market","authors":"Özge P. Akkaş, Ertuğrul Çam","doi":"10.1109/ISMSIT.2019.8932764","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932764","url":null,"abstract":"The necessity for Renewable Energy Resources (RES) has become a major issue due to the shortage of adequate fossil fuels recently. In addition to fossil fuel shortages, global warming is also an anxiety for a lot of countries and companies. These problems have led to the addition of a large number of renewable energy sources to modern distribution systems. However, due to the high integration of RES to these systems and the intermittent characteristic of sources such as wind and solar, it causes variable production and uncertainty in the power system. It is proposed as a solution to gather these resources together in order to solve the problems caused by the changeable outputs of these resources. Virtual Power Plant (VPP) is described as the management of distributed generation facilities, energy storage systems and controllable loads by an Energy Management System (EMS). In this study, the VPP model consists of renewable energy sources such as wind power plant (WPP), solar power plant (SPP), biogas power plant (BPP) and pumped hydro storage plant (PHSP) as an energy storage system (ESS). The aim of the VPP is to maximize the net daily profit in a 24 h time interval. The proposed mixed integer linear programming (MILP) optimization problem is modeled in GAMS software and solved using CPLEX.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116793033","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932955
B. Kaleci, Kaya Turgut
In indoor environments, segmentation of planar surfaces such as wall, floor, and door can contribute the efficiency of robots in performing tasks. In this study, a split and merge based method is developed to segment planar surfaces via point cloud data in indoor environments. Apart from the previous split and merge studies, fixed-size regions are used instead of octree data structure. In this way, the segmentation time can be decreased as low as possible. In the split phase, the fixed-size regions are assigned to one of the three categories, the outer edge, the inner edge, and the non-edge. In the merge phase, each of these categories is processed separately. Thus, the segmentation success can be increased. The proposed method is tested with point cloud data captured in ESOGU Electrical Engineering Laboratory building modelled in Gazebo simulation environment. In addition, RANSAC and region growing methods are implemented for comparison. Experiments are conducted to analyze performance of the proposed method in terms of segmentation time and segmentation success.
{"title":"Plane Segmentation of Point Cloud Data Using Split and Merge Based Method","authors":"B. Kaleci, Kaya Turgut","doi":"10.1109/ISMSIT.2019.8932955","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932955","url":null,"abstract":"In indoor environments, segmentation of planar surfaces such as wall, floor, and door can contribute the efficiency of robots in performing tasks. In this study, a split and merge based method is developed to segment planar surfaces via point cloud data in indoor environments. Apart from the previous split and merge studies, fixed-size regions are used instead of octree data structure. In this way, the segmentation time can be decreased as low as possible. In the split phase, the fixed-size regions are assigned to one of the three categories, the outer edge, the inner edge, and the non-edge. In the merge phase, each of these categories is processed separately. Thus, the segmentation success can be increased. The proposed method is tested with point cloud data captured in ESOGU Electrical Engineering Laboratory building modelled in Gazebo simulation environment. In addition, RANSAC and region growing methods are implemented for comparison. Experiments are conducted to analyze performance of the proposed method in terms of segmentation time and segmentation success.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131623967","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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