Pub Date : 2021-06-11DOI: 10.1109/HORA52670.2021.9461343
Algirdas Dobrovolskis, E. Kazanavicius
This paper describes hybrid method for smart house control system, where control is made by training neural network with user habit data and then applying fuzzy rule set and computing with words engine to provide user with explanation why control change to light, heating or ventilation was made. For neural networks two different approaches were tested: classical support vector machine and newly emerged ML.Net framework. Both methods could correctly predict user desired controls with ~99% accuracy, but ML.Net was recommended for further use because it was less selective for the data format, on the other hand SVM required data separation for binary classification thus increasing required number of SVM machines if control areas would expand. Given verbal explanations accurately described current house control situation to the users, thus increasing confidence level for Explainable Artificial Intelligence.
{"title":"Hybrid Explainable Smart House Control System","authors":"Algirdas Dobrovolskis, E. Kazanavicius","doi":"10.1109/HORA52670.2021.9461343","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461343","url":null,"abstract":"This paper describes hybrid method for smart house control system, where control is made by training neural network with user habit data and then applying fuzzy rule set and computing with words engine to provide user with explanation why control change to light, heating or ventilation was made. For neural networks two different approaches were tested: classical support vector machine and newly emerged ML.Net framework. Both methods could correctly predict user desired controls with ~99% accuracy, but ML.Net was recommended for further use because it was less selective for the data format, on the other hand SVM required data separation for binary classification thus increasing required number of SVM machines if control areas would expand. Given verbal explanations accurately described current house control situation to the users, thus increasing confidence level for Explainable Artificial Intelligence.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"23 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":"121748660","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/HORA52670.2021.9461344
Emilija Gjorgjevska, G. Mirceva
The evolution of how people consume content and how that content is processed by search engines attracted a lot of attention in the past years. Content is the key aspect in every phase of the customer journey and modern content strategies rely on more intelligent, structured content organization. At the same time, search algorithms are getting smarter every year, while also making it harder for online businesses to get traffic without investing in a quality website and a concrete ongoing optimization strategy in mind. This is especially important for large content platforms and businesses that increase their content efforts over time because these types of platforms and processes cannot rely on manual categorizations and monitoring. They become increasingly complex when using multiple metrics to evaluate performance. Therefore, our idea is to perform automatic content categorization by using the concept of semantic similarity between content articles. We would like to test the hypothesis that the use of NLP and ML approaches to organize the content into content hubs can lead to better website performance monitoring and improved understanding of the most profitable segments of the website. The final outcome can serve as a basis for better decision-making and further optimizations in the internal linking network.
{"title":"Content Engineering for State-of-the-art SEO Digital Strategies by Using NLP and ML","authors":"Emilija Gjorgjevska, G. Mirceva","doi":"10.1109/HORA52670.2021.9461344","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461344","url":null,"abstract":"The evolution of how people consume content and how that content is processed by search engines attracted a lot of attention in the past years. Content is the key aspect in every phase of the customer journey and modern content strategies rely on more intelligent, structured content organization. At the same time, search algorithms are getting smarter every year, while also making it harder for online businesses to get traffic without investing in a quality website and a concrete ongoing optimization strategy in mind. This is especially important for large content platforms and businesses that increase their content efforts over time because these types of platforms and processes cannot rely on manual categorizations and monitoring. They become increasingly complex when using multiple metrics to evaluate performance. Therefore, our idea is to perform automatic content categorization by using the concept of semantic similarity between content articles. We would like to test the hypothesis that the use of NLP and ML approaches to organize the content into content hubs can lead to better website performance monitoring and improved understanding of the most profitable segments of the website. The final outcome can serve as a basis for better decision-making and further optimizations in the internal linking network.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"8 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":"116813310","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/HORA52670.2021.9461359
G. Zarcone, L. Mariani, Mascia Bucciarelli, Shariar Hadji Hosseim, F. Curianò, Paola Celesti, L. D. Palo
The space debris issue concerns anyone who decides to approach the space both for research and economic purpose. In fact, they have become a serious problem for the operative satellites, and regardless of their size, which goes from few millimeters to tenth of meters, the space debris are a threat both for the present and the future of the space missions. Nowadays, more than 28000 of orbiting object are placed around the Earth making their detection and recognition a primary issue in the space safeguard. The space debris affect all the orbital regime: from Low Earth Orbit up to the Geostationary region at about 36000 km. The Sapienza Space Systems and Space Surveillance Laboratory has been working for years in the field of the orbiting objects optical observations, and it is approaching the geostationary region monitoring by means an innovative optical system. In this paper the setup and the configuration of this system will be presented and, moreover, the image processing software for the geostationary object detection and recognition will be shown.
{"title":"Image Processing For Geo Detection","authors":"G. Zarcone, L. Mariani, Mascia Bucciarelli, Shariar Hadji Hosseim, F. Curianò, Paola Celesti, L. D. Palo","doi":"10.1109/HORA52670.2021.9461359","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461359","url":null,"abstract":"The space debris issue concerns anyone who decides to approach the space both for research and economic purpose. In fact, they have become a serious problem for the operative satellites, and regardless of their size, which goes from few millimeters to tenth of meters, the space debris are a threat both for the present and the future of the space missions. Nowadays, more than 28000 of orbiting object are placed around the Earth making their detection and recognition a primary issue in the space safeguard. The space debris affect all the orbital regime: from Low Earth Orbit up to the Geostationary region at about 36000 km. The Sapienza Space Systems and Space Surveillance Laboratory has been working for years in the field of the orbiting objects optical observations, and it is approaching the geostationary region monitoring by means an innovative optical system. In this paper the setup and the configuration of this system will be presented and, moreover, the image processing software for the geostationary object detection and recognition will be shown.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"40 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":"122566544","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/HORA52670.2021.9461392
Hiba Hameed Alshuwaili, A. Ibrahim, Salwa A. Al-agha
With the technological development, it has become easy to use digital data, and thus medical institutions have turned to analyzing images and video content. Medical video is recorded in order to collect experimental information about the use of technologies and integrated data that consists of a series of doctors with video recording, and this leads to user interaction with computers. Using the coding methodology, the video is analyzed for a medical diagnosis that contains important information about the patient’s condition with the help of computers, as well as performing surgeries in a medical environment to conduct clinical trials and diagnostics. This leads to software development, reduction in medical effort real-time quality measurement and utilization of available treatments for patient medical diagnosis Medical video has become one of the leading and most common fields, in addition to medical images for diagnosing heart and lung diseases, brain and digestive diseases, and this diagnosis is made by using ultrasound and magnetic resonance imaging in addition to a CT scan. All this helped to provide health care through new methods of research and experiments clinical. Lately, Compression technologies developed video and images are widely used, and by using these effective compression techniques, little or no damage is achieved, the file size is reduced and the visual quality is not affected, major target of compression is to enable data to get saved or transmit in the better form types of compression in various manners like the lossless and the lossy. The aim of this study is to compress video film to lower the irrelevance and the redundancy of data, principle component analysis (PCA) is used in this research, the main component analysis of medical video compression based on self-matrix analysis that all readers will be able to understand the PCA method. This paper presents a suitable technique for medical video compression using Principle Component Analysis PCA, compressed the frames of medical video with eigenvalue and eigenvector techniques. Experimental results shown the efficient and quick technique for medical video frames.
{"title":"Compressing the Scenes of Medical Video by Using Eigenvector","authors":"Hiba Hameed Alshuwaili, A. Ibrahim, Salwa A. Al-agha","doi":"10.1109/HORA52670.2021.9461392","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461392","url":null,"abstract":"With the technological development, it has become easy to use digital data, and thus medical institutions have turned to analyzing images and video content. Medical video is recorded in order to collect experimental information about the use of technologies and integrated data that consists of a series of doctors with video recording, and this leads to user interaction with computers. Using the coding methodology, the video is analyzed for a medical diagnosis that contains important information about the patient’s condition with the help of computers, as well as performing surgeries in a medical environment to conduct clinical trials and diagnostics. This leads to software development, reduction in medical effort real-time quality measurement and utilization of available treatments for patient medical diagnosis Medical video has become one of the leading and most common fields, in addition to medical images for diagnosing heart and lung diseases, brain and digestive diseases, and this diagnosis is made by using ultrasound and magnetic resonance imaging in addition to a CT scan. All this helped to provide health care through new methods of research and experiments clinical. Lately, Compression technologies developed video and images are widely used, and by using these effective compression techniques, little or no damage is achieved, the file size is reduced and the visual quality is not affected, major target of compression is to enable data to get saved or transmit in the better form types of compression in various manners like the lossless and the lossy. The aim of this study is to compress video film to lower the irrelevance and the redundancy of data, principle component analysis (PCA) is used in this research, the main component analysis of medical video compression based on self-matrix analysis that all readers will be able to understand the PCA method. This paper presents a suitable technique for medical video compression using Principle Component Analysis PCA, compressed the frames of medical video with eigenvalue and eigenvector techniques. Experimental results shown the efficient and quick technique for medical video frames.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"21 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":"124846459","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/HORA52670.2021.9461387
W. Salman, V. Yakovlev, Sameer Alani
Nowadays, technology has developed rapidly, several countries have changed the voting from traditional to electronic voting due to the potential advantages such as reliability, rapidity, etc. This paper analyzes the existing voting system in the Republic of Iraq and explores the main problems associated with its functioning. Our results showed that the existing voting system has security problems and needs to be upgraded using information and communication technologies by international standards. We believe that the transition to online voting in the Iraqi elections is necessary, which provides a new system of trust and security for the user and the government of Iraq and helps to solve the problems that exist in this system. An additional advantage of such a system is the ability of voters, the elderly, and people with disabilities to vote at any time and anywhere via the Internet.
{"title":"Analysis of the traditional voting system and transition to the online voting system in the republic of Iraq","authors":"W. Salman, V. Yakovlev, Sameer Alani","doi":"10.1109/HORA52670.2021.9461387","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461387","url":null,"abstract":"Nowadays, technology has developed rapidly, several countries have changed the voting from traditional to electronic voting due to the potential advantages such as reliability, rapidity, etc. This paper analyzes the existing voting system in the Republic of Iraq and explores the main problems associated with its functioning. Our results showed that the existing voting system has security problems and needs to be upgraded using information and communication technologies by international standards. We believe that the transition to online voting in the Iraqi elections is necessary, which provides a new system of trust and security for the user and the government of Iraq and helps to solve the problems that exist in this system. An additional advantage of such a system is the ability of voters, the elderly, and people with disabilities to vote at any time and anywhere via the Internet.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"8 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":"128315201","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/HORA52670.2021.9461398
Kevin Castelli, Marco Gavioli, Yevheniy Dmytriyev, H. Giberti
One of the major issue concerning the coexistence of a human being and a robot is the interaction between a high stiffness object and a softer body part, especially if the impact is characterized by a high energy transmission. Expected or fortuitous collisions can be either managed using control strategies or mechanical elements such as SEA (Serial Elastic Actuators) or VSA (Variable Stiffness Actuators). This article deals with the design of an original prototype of a Continuous Rotation Variable Stiffness Actuator (CR-VSA). The solution proposed is made of two main functional subsystems: motor-reducer group and a variable stiffness equipment. The latter is formed by four steel foils whose length is defined by an actuated slider; the longer the beam, the lower the stiffness. The foils connect the rotation of the output to the one of the speed reducer, a cycloidal drive; encoders measure the angular coordinates to compute the position of the output shaft and the torque applied. A working prototype of this CR-VSA has been manufactured using rapid prototyping and low-cost solutions; ROS (Robot Operating System) has been used to implement the control strategy. This paper shows the design phase and the results achieved by the prototype built.
{"title":"Mechanical Design and Development of a Continuous Rotational Variable Stiffness Actuator","authors":"Kevin Castelli, Marco Gavioli, Yevheniy Dmytriyev, H. Giberti","doi":"10.1109/HORA52670.2021.9461398","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461398","url":null,"abstract":"One of the major issue concerning the coexistence of a human being and a robot is the interaction between a high stiffness object and a softer body part, especially if the impact is characterized by a high energy transmission. Expected or fortuitous collisions can be either managed using control strategies or mechanical elements such as SEA (Serial Elastic Actuators) or VSA (Variable Stiffness Actuators). This article deals with the design of an original prototype of a Continuous Rotation Variable Stiffness Actuator (CR-VSA). The solution proposed is made of two main functional subsystems: motor-reducer group and a variable stiffness equipment. The latter is formed by four steel foils whose length is defined by an actuated slider; the longer the beam, the lower the stiffness. The foils connect the rotation of the output to the one of the speed reducer, a cycloidal drive; encoders measure the angular coordinates to compute the position of the output shaft and the torque applied. A working prototype of this CR-VSA has been manufactured using rapid prototyping and low-cost solutions; ROS (Robot Operating System) has been used to implement the control strategy. This paper shows the design phase and the results achieved by the prototype built.","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":"125991382","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/HORA52670.2021.9461322
Şuanur Kaba, Yakup Hameş, E. Aslan, Ekin Aslan
The downscaling of optical devices into nanometer scale has the potential to enable exciting technologies such as all-optical computing and ultra-fast optical communications. With the advancements in nanofabrication techniques, confinement and manipulation of light below the diffraction limit have been achieved. However, the realization of ultra-fast and efficient nano light-sources is still a challenge. Utilizing Purcell effect with all-dielectric nanophotonics can be a promising solution to address the limitations. In this context, we offer an all-dielectric silicon hollow nanocuboid structure that can be employed to obtain enhanced magnetic dipole emission. According to the simulation results, silicon hollow nanocuboid provides a strong magnetic resonance and enhances magnetic dipole emission of a source in visible range. In this design, the hollow in the middle of structure supports accessible magnetic hotspots which can interact with magnetic dipole sources to force them emit with a higher decay rate. According to the results, the hollow nanocuboid design has a higher potential to increase the magnetic dipole decay rate enhancement in comparison to the previously reported structures and it can be used as a nano light-source in photonic integrated circuits, all-optical processors, and wideband optical communication networks.
{"title":"Enhancement of Magnetic Dipole Spontaneous Emission with Silicon Hollow Nanocuboid Resonator in Visible Range","authors":"Şuanur Kaba, Yakup Hameş, E. Aslan, Ekin Aslan","doi":"10.1109/HORA52670.2021.9461322","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461322","url":null,"abstract":"The downscaling of optical devices into nanometer scale has the potential to enable exciting technologies such as all-optical computing and ultra-fast optical communications. With the advancements in nanofabrication techniques, confinement and manipulation of light below the diffraction limit have been achieved. However, the realization of ultra-fast and efficient nano light-sources is still a challenge. Utilizing Purcell effect with all-dielectric nanophotonics can be a promising solution to address the limitations. In this context, we offer an all-dielectric silicon hollow nanocuboid structure that can be employed to obtain enhanced magnetic dipole emission. According to the simulation results, silicon hollow nanocuboid provides a strong magnetic resonance and enhances magnetic dipole emission of a source in visible range. In this design, the hollow in the middle of structure supports accessible magnetic hotspots which can interact with magnetic dipole sources to force them emit with a higher decay rate. According to the results, the hollow nanocuboid design has a higher potential to increase the magnetic dipole decay rate enhancement in comparison to the previously reported structures and it can be used as a nano light-source in photonic integrated circuits, all-optical processors, and wideband optical communication networks.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"46 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":"127132681","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/HORA52670.2021.9461282
Kadime Göğebakan, M. Şah
According to the World Health Organization (WHO), the number of patients with chronic diseases continues to increase rapidly for various reasons and these diseases are among the leading causes of death in the world. Among the chronic deaths, diabetes accounts a major cause. Especially Type 2 Diabetes (diabetes mellitus) and its complications have become the top 10 causes of death by rapidly increasing all over the world in the last 20 years. Therefore, to prevent and detect diabetes in early stages is crucial. For this purpose, machine learning, expert systems, fuzzy logic and Semantic Web based approaches have been developed. In particular, Semantic Web provides technologies to represent diabetes data as machine-processable metadata. This metadata then can be used to automatically infer possible prevention, diagnosis, treatment plans at early stages using semantic rules and SPARQL query language. Therefore, in our work, we review recent ontology-based intelligent systems for preventing, diagnosis and treatment of diabetes patients. We compare the methods in terms of aim, ontologies, technology, user interfaces, reasoning capabilities, evaluation metrics and software. In addition, we provide insights about recent developments and future directions.
{"title":"A Review of Recent Advances for Preventing, Diagnosis and Treatment of Diabetes Mellitus using Semantic Web","authors":"Kadime Göğebakan, M. Şah","doi":"10.1109/HORA52670.2021.9461282","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461282","url":null,"abstract":"According to the World Health Organization (WHO), the number of patients with chronic diseases continues to increase rapidly for various reasons and these diseases are among the leading causes of death in the world. Among the chronic deaths, diabetes accounts a major cause. Especially Type 2 Diabetes (diabetes mellitus) and its complications have become the top 10 causes of death by rapidly increasing all over the world in the last 20 years. Therefore, to prevent and detect diabetes in early stages is crucial. For this purpose, machine learning, expert systems, fuzzy logic and Semantic Web based approaches have been developed. In particular, Semantic Web provides technologies to represent diabetes data as machine-processable metadata. This metadata then can be used to automatically infer possible prevention, diagnosis, treatment plans at early stages using semantic rules and SPARQL query language. Therefore, in our work, we review recent ontology-based intelligent systems for preventing, diagnosis and treatment of diabetes patients. We compare the methods in terms of aim, ontologies, technology, user interfaces, reasoning capabilities, evaluation metrics and software. In addition, we provide insights about recent developments and future directions.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"58 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":"128149707","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/HORA52670.2021.9461287
F. Hasan, Muhamad Shahbani Abu Bakar
The huge growth in data management systems is a result of the rapid changes in the technology of data storage systems. Most data management challenges appear in the data transformation between various information systems. Furthermore, the data transformation method between different information systems gets more complex day by day because of the changes in the methods used to deal with the stored data in different systems. These complexities in data transformation generate many issues related to the quality of data between the sources and the target systems. Besides, a new approach must be taken into consideration to deal with the data transformation and management in compatible and incompatible data sources. Hereby, to address the data transformation from one system to another, the data must go through a middle system that interacts between the source and target systems. The proposed approach can improve the information systems performances and minimize the issues related to the data quality in transforming processes that leads to integrity and completeness in sharing the data.
{"title":"An Approach for Data Transformation In Homogeneous and Heterogeneous Information Systems","authors":"F. Hasan, Muhamad Shahbani Abu Bakar","doi":"10.1109/HORA52670.2021.9461287","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461287","url":null,"abstract":"The huge growth in data management systems is a result of the rapid changes in the technology of data storage systems. Most data management challenges appear in the data transformation between various information systems. Furthermore, the data transformation method between different information systems gets more complex day by day because of the changes in the methods used to deal with the stored data in different systems. These complexities in data transformation generate many issues related to the quality of data between the sources and the target systems. Besides, a new approach must be taken into consideration to deal with the data transformation and management in compatible and incompatible data sources. Hereby, to address the data transformation from one system to another, the data must go through a middle system that interacts between the source and target systems. The proposed approach can improve the information systems performances and minimize the issues related to the data quality in transforming processes that leads to integrity and completeness in sharing the data.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"2 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":"132551323","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/HORA52670.2021.9461372
Koray Kavlak, I. Kartal
There have been important developments in the field of robotics until today. Since the areas where the leg touch the ground in legged mobile robots are small, the usage area is quite wide. They can adapt to all kinds of terrain conditions and can be used in places unsuitable for human health. Examples of these include areas containing radioactive, closed areas that do not contain sufficient oxygen, areas with explosives and caves. Considering that the robot will be used on rough terrain, the Klann walking mechanism, which is superior to other walking mechanisms, has been chosen. In this paper, solid modeling of a mobile robot with four legs has been done in SolidWorks program. In the Klann walking mechanism, which consists of six link, the coupler curve of the end point where the leg touches the ground has been drawn in the Cinderella program. Then, by performing kinematic analysis of the mechanism, velocity and acceleration graphs were obtained.
{"title":"Kinematic Analysis of Mobile Robot with Klann Walking Mechanism","authors":"Koray Kavlak, I. Kartal","doi":"10.1109/HORA52670.2021.9461372","DOIUrl":"https://doi.org/10.1109/HORA52670.2021.9461372","url":null,"abstract":"There have been important developments in the field of robotics until today. Since the areas where the leg touch the ground in legged mobile robots are small, the usage area is quite wide. They can adapt to all kinds of terrain conditions and can be used in places unsuitable for human health. Examples of these include areas containing radioactive, closed areas that do not contain sufficient oxygen, areas with explosives and caves. Considering that the robot will be used on rough terrain, the Klann walking mechanism, which is superior to other walking mechanisms, has been chosen. In this paper, solid modeling of a mobile robot with four legs has been done in SolidWorks program. In the Klann walking mechanism, which consists of six link, the coupler curve of the end point where the leg touches the ground has been drawn in the Cinderella program. Then, by performing kinematic analysis of the mechanism, velocity and acceleration graphs were obtained.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"60 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":"132003483","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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