Pub Date : 2021-06-11DOI: 10.1109/HORA52670.2021.9461316
Ledion Liço, I. Enesi
Customer Relationship Management technology plays an important role in business performance. Predicting customer behavior enables the business to better address their customers and enhance service level and overall profit. The aim of this paper is to create models that classify clients and predict their purchases in a real retail department store. A real department store retail transactions dataset will be used and two classification/regression models will be tested on it. The first is based on K-Nearest Neighbors and the other one is based on Neural Networks.
{"title":"Performance Analysis of and Neural KNN Networks for Predicting Customer Purchases in a Real Retail Department Store","authors":"Ledion Liço, I. Enesi","doi":"10.1109/HORA52670.2021.9461316","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461316","url":null,"abstract":"Customer Relationship Management technology plays an important role in business performance. Predicting customer behavior enables the business to better address their customers and enhance service level and overall profit. The aim of this paper is to create models that classify clients and predict their purchases in a real retail department store. A real department store retail transactions dataset will be used and two classification/regression models will be tested on it. The first is based on K-Nearest Neighbors and the other one is based on Neural Networks.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117129679","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461388
Levent Türkler, T. Akkan, L. Akkan
In this study, robot movements were created in Webots simulation environment with Particle Swarm optimization algorithm to implement collective task behaviors in swarm robots. In addition to the basic PSO equation, the physical conditions necessary for the robots’ movements to reach the desired point are discussed. For this study, the simulator environment was preferred instead of the real world. In the meantime, by introducing the existing simulator programs, information about the Webots simulation program was given and the working architectures were introduced.
{"title":"Control of swarm robotics in Webots with PSO","authors":"Levent Türkler, T. Akkan, L. Akkan","doi":"10.1109/HORA52670.2021.9461388","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461388","url":null,"abstract":"In this study, robot movements were created in Webots simulation environment with Particle Swarm optimization algorithm to implement collective task behaviors in swarm robots. In addition to the basic PSO equation, the physical conditions necessary for the robots’ movements to reach the desired point are discussed. For this study, the simulator environment was preferred instead of the real world. In the meantime, by introducing the existing simulator programs, information about the Webots simulation program was given and the working architectures were introduced.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129346597","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461324
Sofija Sidorenko, E. Angeleska, Filip Dimitriev, Jelena Djokikj
In this paper, a biomimicry-based methodology for developing design innovations is presented, as practiced with the Industrial Design students at the Faculty of Mechanical Engineering Skopje. The bio-inspired design process is based on the bi-directional bionic design methods with a unique application of various design and engineering tools and an additional focus on human-centric approaches. This paper describes in detail all six steps of the strategy for exploration of natural systems. In addition, a design case study is described to clarify the process. The main goal is to provide the methodology as a tool that can encourage designers and design students to use bionic methods for designing innovative products and help them standardize the bionics processes by making them efficient and engineering-oriented.
{"title":"Methodology for bio-inspired design innovations based on functional decomposition","authors":"Sofija Sidorenko, E. Angeleska, Filip Dimitriev, Jelena Djokikj","doi":"10.1109/HORA52670.2021.9461324","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461324","url":null,"abstract":"In this paper, a biomimicry-based methodology for developing design innovations is presented, as practiced with the Industrial Design students at the Faculty of Mechanical Engineering Skopje. The bio-inspired design process is based on the bi-directional bionic design methods with a unique application of various design and engineering tools and an additional focus on human-centric approaches. This paper describes in detail all six steps of the strategy for exploration of natural systems. In addition, a design case study is described to clarify the process. The main goal is to provide the methodology as a tool that can encourage designers and design students to use bionic methods for designing innovative products and help them standardize the bionics processes by making them efficient and engineering-oriented.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124448503","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461308
Alaa Ibrahim, R. Sirjani
Transmission Expansion Planning (TEP) is a mixed-integer non-linear optimization problem that aims to determine the optimum lines to be constructed in order to transmit power and supply the current and the predicted load in a reliable and economical way over the planning horizon. This paper proposes a methodology for solving the TEP problem by integrating wind farms into the power system. A hybrid heuristic optimization approach is utilized to find the optimum branches to be built by considering wind energy generation uncertainty to show the impact of renewable energy resources on TEP. The proposed approach was applied to the 24-bus IEEE test system, where the optimal solutions of the different cases were obtained, and the results confirmed that wind power uncertainty does modify the optimal plan.
{"title":"Impact of Considering Wind Power Uncertainty on Transmission Expansion Planning","authors":"Alaa Ibrahim, R. Sirjani","doi":"10.1109/HORA52670.2021.9461308","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461308","url":null,"abstract":"Transmission Expansion Planning (TEP) is a mixed-integer non-linear optimization problem that aims to determine the optimum lines to be constructed in order to transmit power and supply the current and the predicted load in a reliable and economical way over the planning horizon. This paper proposes a methodology for solving the TEP problem by integrating wind farms into the power system. A hybrid heuristic optimization approach is utilized to find the optimum branches to be built by considering wind energy generation uncertainty to show the impact of renewable energy resources on TEP. The proposed approach was applied to the 24-bus IEEE test system, where the optimal solutions of the different cases were obtained, and the results confirmed that wind power uncertainty does modify the optimal plan.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127880903","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461311
C. Altuntas
Three-dimensional (3-D) measurement is extensively used for 3-D modelling, motion detection, robotic navigasyon and information technology. Time-of-flight (ToF) camera is an emerging technology used for 3-D measurement. ToF camera has superior and weak properties compared to the other measurement techniques. In this study error sources of ToF range imaging camera were explained, and measurement precision of average frame was estimated with different image configurations.
{"title":"Measurement Precision of Average Frame for Solid-State Time-of-Flight Camera","authors":"C. Altuntas","doi":"10.1109/HORA52670.2021.9461311","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461311","url":null,"abstract":"Three-dimensional (3-D) measurement is extensively used for 3-D modelling, motion detection, robotic navigasyon and information technology. Time-of-flight (ToF) camera is an emerging technology used for 3-D measurement. ToF camera has superior and weak properties compared to the other measurement techniques. In this study error sources of ToF range imaging camera were explained, and measurement precision of average frame was estimated with different image configurations.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131806898","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461283
S. Aksimsek
This paper presents a broadband flexible metamaterial absorber (MMA) for X- and Ku-band microwave applications. The unit cell resonator consists of a periodic array of sectional square and sectional circular loops with 8 identical lumped resistor chips. The unit cell is numerically investigated. The simulation results show that the proposed structure achieves a broadband absorption over the ultra-wide frequency region covering X- and Ku-bands, from 7.45 GHz to 18.8 GHz, with an absorptivity of above 90%. The angular response of the unit cell is also investigated. The proposed absorber shows wide-incidence angle and polarization-independent absorption spectra up to 45° for TE and TM polarizations. The unit cell is electrically thin, which is only 2.85 mm. Therefore, the proposed metamaterial absorber can be used as a flexible broadband absorption platform in various practical applications.
{"title":"Design of Flexible Metamaterial Absorber for Broadband Microwave Applications","authors":"S. Aksimsek","doi":"10.1109/HORA52670.2021.9461283","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461283","url":null,"abstract":"This paper presents a broadband flexible metamaterial absorber (MMA) for X- and Ku-band microwave applications. The unit cell resonator consists of a periodic array of sectional square and sectional circular loops with 8 identical lumped resistor chips. The unit cell is numerically investigated. The simulation results show that the proposed structure achieves a broadband absorption over the ultra-wide frequency region covering X- and Ku-bands, from 7.45 GHz to 18.8 GHz, with an absorptivity of above 90%. The angular response of the unit cell is also investigated. The proposed absorber shows wide-incidence angle and polarization-independent absorption spectra up to 45° for TE and TM polarizations. The unit cell is electrically thin, which is only 2.85 mm. Therefore, the proposed metamaterial absorber can be used as a flexible broadband absorption platform in various practical applications.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131106983","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461385
Ahmet Zencírlí, Harun Cetin, Nedim Tuğ, T. Ensari
Bu çalışmada, derin öğrenme yaklaşımlarından kısıtlıBoltzmann makinesi (restricted boltzmann machineRBM) ve öz kodlayıcı(autoencoder-AE), diğer makine öğrenmesi yöntemlerinden ise içerik tabanlıfiltreleme (content based filtering (CBF), k-en yakın komşuluk algortiması(knearest neighbour-KNN) ve tekil değer ayrışımı(singular value decompostion-SVD) algoritmalarıkullanılarak satış oranıdüşük ürünler için lokasyon odaklıtavsiye sistemi geliştirilmiş ve karşılaştırmalıperformans analizi yapılmıştır. Ayrıca, bu çalışmada dört adet yeni hibrit yöntem önerilmiş (RBM ve ContentKNN, RBM ve SVD ++, AE ve SVD ++, AE ve KNN) ve bunlara ilişkin analizler sunulmuştur. Elde edilen sonuçlara ait karşılaştırmalıhata değerleri makalede sunulmuştur.
{"title":"Deep Learning Classification of Location Oriented Recommendation System for Low-Sale Products","authors":"Ahmet Zencírlí, Harun Cetin, Nedim Tuğ, T. Ensari","doi":"10.1109/HORA52670.2021.9461385","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461385","url":null,"abstract":"Bu çalışmada, derin öğrenme yaklaşımlarından kısıtlıBoltzmann makinesi (restricted boltzmann machineRBM) ve öz kodlayıcı(autoencoder-AE), diğer makine öğrenmesi yöntemlerinden ise içerik tabanlıfiltreleme (content based filtering (CBF), k-en yakın komşuluk algortiması(knearest neighbour-KNN) ve tekil değer ayrışımı(singular value decompostion-SVD) algoritmalarıkullanılarak satış oranıdüşük ürünler için lokasyon odaklıtavsiye sistemi geliştirilmiş ve karşılaştırmalıperformans analizi yapılmıştır. Ayrıca, bu çalışmada dört adet yeni hibrit yöntem önerilmiş (RBM ve ContentKNN, RBM ve SVD ++, AE ve SVD ++, AE ve KNN) ve bunlara ilişkin analizler sunulmuştur. Elde edilen sonuçlara ait karşılaştırmalıhata değerleri makalede sunulmuştur.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131327286","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461364
Hazan Perez-C, William D. Moscoso-Barrera, Luis Paipa-Galeano
Virtual reality applications are being designed and used for training in different fields, such as medicine, emergency response and exercise. Here, we show how we created a cognitive training tool using Unity3d and the Oculus Rift head-mounted display from a strong, dedicated design and planning phase before software implementation. First, in a conception phase, a research was done to understand how to do game development and cognitive training, then we made a paper prototype integrating the findings. Later, in the implementation phase the scene was set up as well as the interface with the head-mounted display, and finally the gameplay elements were programmed in. This resulted in a training tool that was later run through usability tests.
{"title":"Design and implementation of a cognitive ability virtual reality training tool","authors":"Hazan Perez-C, William D. Moscoso-Barrera, Luis Paipa-Galeano","doi":"10.1109/HORA52670.2021.9461364","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461364","url":null,"abstract":"Virtual reality applications are being designed and used for training in different fields, such as medicine, emergency response and exercise. Here, we show how we created a cognitive training tool using Unity3d and the Oculus Rift head-mounted display from a strong, dedicated design and planning phase before software implementation. First, in a conception phase, a research was done to understand how to do game development and cognitive training, then we made a paper prototype integrating the findings. Later, in the implementation phase the scene was set up as well as the interface with the head-mounted display, and finally the gameplay elements were programmed in. This resulted in a training tool that was later run through usability tests.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131416688","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461323
Y. H. Sulaiman, A. Mustafa
Data are available to promote the advancement of biotechnological resources to counter this novel epidemic of Coronavirus. This paper discusses and analyzes the significant applications of artificial intelligence and machine learning to the regular operations of the COVID-19 outbreak. Continued advancement in artificial intelligence and machine learning has improved care, medication, screening, prediction, contact detection, and drug/vaccine production approaches for the COVID-19 flu pandemic and reduced human interventions in medical practice. However, several models have not been applied enough to illustrate their real-world operation, but they also display promising results in the battle against the COVID-19 virus.
{"title":"COVID-19: Toward Artificial Intelligence Algorithms","authors":"Y. H. Sulaiman, A. Mustafa","doi":"10.1109/HORA52670.2021.9461323","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461323","url":null,"abstract":"Data are available to promote the advancement of biotechnological resources to counter this novel epidemic of Coronavirus. This paper discusses and analyzes the significant applications of artificial intelligence and machine learning to the regular operations of the COVID-19 outbreak. Continued advancement in artificial intelligence and machine learning has improved care, medication, screening, prediction, contact detection, and drug/vaccine production approaches for the COVID-19 flu pandemic and reduced human interventions in medical practice. However, several models have not been applied enough to illustrate their real-world operation, but they also display promising results in the battle against the COVID-19 virus.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131869386","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 : 2021-06-11DOI: 10.1109/HORA52670.2021.9461328
Marium Malik, M. Jaffar, M.R Naqvi
A brain tumor is a mass or development of atypical cells inside the skull region of the brain. The growth of such malignancy in a confined space leads to a cohort of problems, like the malfunctioning of the brain. The tumor can be malignant or benign, and early detection might turn out to be a savior. For this purpose, computerized tomography (CT) scans and magnetic resonance imaging (MRI) scans are examined. In recent decades’ image processing, computer vision and deep learning approaches have gained substantial recognition. However, straightforward approaches using image enhancement techniques and morphological operations are also much efficient in this regard, such an image processing approach is compared to the state-of-the-art deep learning techniques in this paper for detecting a tumor in the MRI scans of the brain. The straightforward system is incorporated into four steps. First, the scan is pre-processed for adjustment of its quality. Second, the image is enhanced using image enhancement approaches. Third, edge detection approaches are applied to it. Fourth, image segmentation with morphological operators is applied to detect the tumor region. The findings are then compared with the results of previous deep learning techniques. The purpose of this study is to present that advanced deep learning algorithms can generate better results and perform multiple classifications of brain tumor detection in MRI images.
{"title":"Comparison of Brain Tumor Detection in MRI Images Using Straightforward Image Processing Techniques and Deep Learning Techniques","authors":"Marium Malik, M. Jaffar, M.R Naqvi","doi":"10.1109/HORA52670.2021.9461328","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461328","url":null,"abstract":"A brain tumor is a mass or development of atypical cells inside the skull region of the brain. The growth of such malignancy in a confined space leads to a cohort of problems, like the malfunctioning of the brain. The tumor can be malignant or benign, and early detection might turn out to be a savior. For this purpose, computerized tomography (CT) scans and magnetic resonance imaging (MRI) scans are examined. In recent decades’ image processing, computer vision and deep learning approaches have gained substantial recognition. However, straightforward approaches using image enhancement techniques and morphological operations are also much efficient in this regard, such an image processing approach is compared to the state-of-the-art deep learning techniques in this paper for detecting a tumor in the MRI scans of the brain. The straightforward system is incorporated into four steps. First, the scan is pre-processed for adjustment of its quality. Second, the image is enhanced using image enhancement approaches. Third, edge detection approaches are applied to it. Fourth, image segmentation with morphological operators is applied to detect the tumor region. The findings are then compared with the results of previous deep learning techniques. The purpose of this study is to present that advanced deep learning algorithms can generate better results and perform multiple classifications of brain tumor detection in MRI images.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127404412","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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