Pub Date : 2018-09-01DOI: 10.1109/SISY.2018.8524785
Mátyás Gagyi, Örs-Krisztián Patakfalvi, Sandor Raduly, Csaba Sulyok
Nowadays, the various challenges in which participants have to take certain time-specific steps are growing more and more popular; examples include reading a book every week or doing specific exercises for thirty days. Although enthusiasts are eager and willing to participate, they lack a single and transparent platform. The Daily Challenge software project aims to provide a unified interface for users where a multitude of challenges are available for participation. The project is divided into three components: The central server raises a scalable platform around the database and provides access options for any number of clients. Through the multi-platform native mobile application and the web-based interface, users with different roles may participate and maintain challenges. This paper provides an in-depth view of the operation, architecture and the functionalities of the system, also fleshing out technologies and tools used.
{"title":"Mobile Application for Daily Challenge Management","authors":"Mátyás Gagyi, Örs-Krisztián Patakfalvi, Sandor Raduly, Csaba Sulyok","doi":"10.1109/SISY.2018.8524785","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524785","url":null,"abstract":"Nowadays, the various challenges in which participants have to take certain time-specific steps are growing more and more popular; examples include reading a book every week or doing specific exercises for thirty days. Although enthusiasts are eager and willing to participate, they lack a single and transparent platform. The Daily Challenge software project aims to provide a unified interface for users where a multitude of challenges are available for participation. The project is divided into three components: The central server raises a scalable platform around the database and provides access options for any number of clients. Through the multi-platform native mobile application and the web-based interface, users with different roles may participate and maintain challenges. This paper provides an in-depth view of the operation, architecture and the functionalities of the system, also fleshing out technologies and tools used.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"2008 1","pages":"000033-000038"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86234542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/SISY.2018.8524818
Danica Despotovic, Aleksandra Zec, K. Mladenović, N. Radin, T. Lončar-Turukalo
The preterm birth presents a major cause of the infants' deaths, or the consequent health impairments globally, with an increasing trend of the preterm rate. The enormous global burden on both families and society calls for the preventive and predictive measures. The electrohysterogram (EHG), electrical activity of uterus as measured by surface electrodes, is a noninvasive and affordable tool for effective monitoring of both pregnancy and labour. In this study, the possibility of an early prediction of preterm delivery from the EHG recordings made between 22nd and 25th week of the gestation is explored. A set of novel features, including those exploiting signal's nonstationarity, based on the predictive modelling, and empirical mode decomposition, was evaluated on 15min long EHG recordings from the publicly available Term-Preterm EHG (TPEHG) database. On average, Random Forest classifier combined with artificial sampling, tested using 10-fold cross-validation on 322 samples (38 preterm) provided for 99.23% accuracy, with 98.40%sensitivity, and area under curve of 99%. The proposed approach has an additional advantage achieving the classification improvement over shorter, 15min long EHG recordings.
{"title":"A Machine Learning Approach for an Early Prediction of Preterm Delivery","authors":"Danica Despotovic, Aleksandra Zec, K. Mladenović, N. Radin, T. Lončar-Turukalo","doi":"10.1109/SISY.2018.8524818","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524818","url":null,"abstract":"The preterm birth presents a major cause of the infants' deaths, or the consequent health impairments globally, with an increasing trend of the preterm rate. The enormous global burden on both families and society calls for the preventive and predictive measures. The electrohysterogram (EHG), electrical activity of uterus as measured by surface electrodes, is a noninvasive and affordable tool for effective monitoring of both pregnancy and labour. In this study, the possibility of an early prediction of preterm delivery from the EHG recordings made between 22nd and 25th week of the gestation is explored. A set of novel features, including those exploiting signal's nonstationarity, based on the predictive modelling, and empirical mode decomposition, was evaluated on 15min long EHG recordings from the publicly available Term-Preterm EHG (TPEHG) database. On average, Random Forest classifier combined with artificial sampling, tested using 10-fold cross-validation on 322 samples (38 preterm) provided for 99.23% accuracy, with 98.40%sensitivity, and area under curve of 99%. The proposed approach has an additional advantage achieving the classification improvement over shorter, 15min long EHG recordings.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"23 1","pages":"000265-000270"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85523154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/SISY.2018.8524681
C. L. P. Chen
After a very fast and efficient discriminative Broad Learning System (BLS) that takes advantage of flatted structure and incremental learning has been developed, this talk will discuss mathematical proof of the universal approximation property of BLS. In addition, the framework of several BLS variants with their mathematical modellings are given. The variations include cascade, recurrent, and broad-deep combination that cover existing deep-wide/broad-wide structures. From the experimental results, the BLS and its variations outperforms several exist learning algorithms on regression performance over function approximation, time series prediction, and face recognition databases.
{"title":"Broad Learning System and its Structural Variations","authors":"C. L. P. Chen","doi":"10.1109/SISY.2018.8524681","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524681","url":null,"abstract":"After a very fast and efficient discriminative Broad Learning System (BLS) that takes advantage of flatted structure and incremental learning has been developed, this talk will discuss mathematical proof of the universal approximation property of BLS. In addition, the framework of several BLS variants with their mathematical modellings are given. The variations include cascade, recurrent, and broad-deep combination that cover existing deep-wide/broad-wide structures. From the experimental results, the BLS and its variations outperforms several exist learning algorithms on regression performance over function approximation, time series prediction, and face recognition databases.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"15 1","pages":"000011-00012"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82215664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/SISY.2018.8524830
L. Kajdocsi, Janos Kovacs
Navigation was always important to humankind. Today, it is unimaginable to navigate in the world without the Global Positioning System. Although, the Global Positioning System operates very accurately outdoors but does not in indoor environments. Unfortunately, the indoor navigation is still in its infancy. However, several approaches have been proposed during the last decade but none of them is accurate and/or inexpensive enough for the consumer use. According to the authors' proposal, utilization of a hybrid mesh network might solve the inaccuracy. The mesh technology would offer an accurate, fast, adaptive, self-organizing, self-healing and inexpensive solution for the indoor positioning. A hybrid mesh network would involve some technologies like Wi-Fi, Bluetooth, RFID or IQRF. Fortunately, the Bluetooth Special Interest Group announced the mesh capability in the Bluetooth 5 standard in 2017. However, building up a physical network is always expensive experiment, thus simulations would be executed in a OmNET++. In this paper, the implementation possibility of the Bluetooth mesh capabilities will be analyzed.
{"title":"Issue on implementation Possibility of Bluetooth Mesh Capabilities into OmNET++","authors":"L. Kajdocsi, Janos Kovacs","doi":"10.1109/SISY.2018.8524830","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524830","url":null,"abstract":"Navigation was always important to humankind. Today, it is unimaginable to navigate in the world without the Global Positioning System. Although, the Global Positioning System operates very accurately outdoors but does not in indoor environments. Unfortunately, the indoor navigation is still in its infancy. However, several approaches have been proposed during the last decade but none of them is accurate and/or inexpensive enough for the consumer use. According to the authors' proposal, utilization of a hybrid mesh network might solve the inaccuracy. The mesh technology would offer an accurate, fast, adaptive, self-organizing, self-healing and inexpensive solution for the indoor positioning. A hybrid mesh network would involve some technologies like Wi-Fi, Bluetooth, RFID or IQRF. Fortunately, the Bluetooth Special Interest Group announced the mesh capability in the Bluetooth 5 standard in 2017. However, building up a physical network is always expensive experiment, thus simulations would be executed in a OmNET++. In this paper, the implementation possibility of the Bluetooth mesh capabilities will be analyzed.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"68 1","pages":"000203-000208"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79880183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/SISY.2018.8524648
G. Gyorok
Many of electronics applications, the continuous reliability measurement of the circuit may be important. It is enough to consider certain industrial applications (collaborative robot control), biomedical electronics (patient monitoring applications), passenger safety circuits (air bag control, brake control). With the application of embedded microcontrollers, we can continuously analyze the digital circuit, so we can measure its status. In this case, the supervised circuit together with the supervised analog and/or hybrid circuit also operates a microcontroller simulation and continuously compares the operation of the digital simulation and the test circuit. In the case of system identification methods, the quality parameter of a test system or the test equipment itself or its change in the test object itself shall be followed or evaluated. In this article we present a circuit with typizable failures and failures options that can be used to test and improve the tester itself.
{"title":"The Veterinary Horse Circuit for a Microcontroller Supervised System","authors":"G. Gyorok","doi":"10.1109/SISY.2018.8524648","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524648","url":null,"abstract":"Many of electronics applications, the continuous reliability measurement of the circuit may be important. It is enough to consider certain industrial applications (collaborative robot control), biomedical electronics (patient monitoring applications), passenger safety circuits (air bag control, brake control). With the application of embedded microcontrollers, we can continuously analyze the digital circuit, so we can measure its status. In this case, the supervised circuit together with the supervised analog and/or hybrid circuit also operates a microcontroller simulation and continuously compares the operation of the digital simulation and the test circuit. In the case of system identification methods, the quality parameter of a test system or the test equipment itself or its change in the test object itself shall be followed or evaluated. In this article we present a circuit with typizable failures and failures options that can be used to test and improve the tester itself.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80672432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/SISY.2018.8524813
Gábor Bréda, P. J. Varga, Zsolt Illési
The increased popularity of the Internet of Things (loT) increased the exposure to malicious attacks of such devices. The security of loT devices is under continuous analysis and there are great improvements in this field, but it appears that the computer forensic specific needs are not taken into considerations. This paper analyses the forensic requirements, and identifies the minimal functional requirements of the loT devices, based on the Common Criteria (CC). This paper also highlights some functional requirements and concerns that are not in CC, but which are essential to a forensic investigation.
{"title":"Forensic Functional Profile of loT Devices-Based on Common Criteria","authors":"Gábor Bréda, P. J. Varga, Zsolt Illési","doi":"10.1109/SISY.2018.8524813","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524813","url":null,"abstract":"The increased popularity of the Internet of Things (loT) increased the exposure to malicious attacks of such devices. The security of loT devices is under continuous analysis and there are great improvements in this field, but it appears that the computer forensic specific needs are not taken into considerations. This paper analyses the forensic requirements, and identifies the minimal functional requirements of the loT devices, based on the Common Criteria (CC). This paper also highlights some functional requirements and concerns that are not in CC, but which are essential to a forensic investigation.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"78 1","pages":"000261-000264"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89916957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/SISY.2018.8524716
Peter Sarcevic, Szilveszter Pletl
Magnetometer-based vehicle detection systems offer many advantages compared to other technologies. These systems can effectively detect vehicle presence, but vehicles with high metallic content passing in the neighboring lane can cause false detections. In this work, a new method is proposed for the filtering of these false detections. Filtering is based on different rules constructed using various data types extracted from the signals. All data types were tested separately to find the parameters with most influence, and later these parameters were combined in more complex rules to achieve more accurate results. The optimization of the parameter values was realized using genetic algorithms. The obtained results show that using properly constructed rules, 97% of false detections can be filtered with losing only nearly 0.3 % of good detections, and even a single parameter can be sufficient to reliably filter the false detections.
{"title":"False Detection Filtering Method for Magnetic Sensor-Based Vehicle Detection Systems","authors":"Peter Sarcevic, Szilveszter Pletl","doi":"10.1109/SISY.2018.8524716","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524716","url":null,"abstract":"Magnetometer-based vehicle detection systems offer many advantages compared to other technologies. These systems can effectively detect vehicle presence, but vehicles with high metallic content passing in the neighboring lane can cause false detections. In this work, a new method is proposed for the filtering of these false detections. Filtering is based on different rules constructed using various data types extracted from the signals. All data types were tested separately to find the parameters with most influence, and later these parameters were combined in more complex rules to achieve more accurate results. The optimization of the parameter values was realized using genetic algorithms. The obtained results show that using properly constructed rules, 97% of false detections can be filtered with losing only nearly 0.3 % of good detections, and even a single parameter can be sufficient to reliably filter the false detections.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"10 1","pages":"000277-000282"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80929430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/SISY.2018.8524653
Yatish Bathla
Cyber Physical System (CPS) forms the basis of emerging and future smart services as it collaborates computational entities with the surrounding physical world. CPS demands a system level product model where it requires advanced engineering modeling and the possible solution is multidisciplinary CPS. In functional-logical level of multidisciplinary CPS, behavior representation allows concept level virtual execution of the model. Using own former research results, this paper proposes Info-Chunk entities in the functional level of Requirement Functional Logical Physical (RFLP) structure product model and then explains the communication between the cyber CPS unit entities with extended Info-Chunk driven RFLP structure by the Information Content (IC). Then, it explains the role of Info-Chunk in the active information content (AIC) which supports driving entities in RFLP and CPS cyber structures. Finally, communication between AIC, Info-Chunk driven RFLP structure and cyber units in the CPS of the product is discussed. Here, virtually executed complex models of products are converted into real world cyber physical systems using cyber physical production systems in accordance with the paradigm Industry-4.0.
{"title":"Info-Chunk Driven RFLP Structure Based Product Model for Multidisciplinary Cyber Physical Systems","authors":"Yatish Bathla","doi":"10.1109/SISY.2018.8524653","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524653","url":null,"abstract":"Cyber Physical System (CPS) forms the basis of emerging and future smart services as it collaborates computational entities with the surrounding physical world. CPS demands a system level product model where it requires advanced engineering modeling and the possible solution is multidisciplinary CPS. In functional-logical level of multidisciplinary CPS, behavior representation allows concept level virtual execution of the model. Using own former research results, this paper proposes Info-Chunk entities in the functional level of Requirement Functional Logical Physical (RFLP) structure product model and then explains the communication between the cyber CPS unit entities with extended Info-Chunk driven RFLP structure by the Information Content (IC). Then, it explains the role of Info-Chunk in the active information content (AIC) which supports driving entities in RFLP and CPS cyber structures. Finally, communication between AIC, Info-Chunk driven RFLP structure and cyber units in the CPS of the product is discussed. Here, virtually executed complex models of products are converted into real world cyber physical systems using cyber physical production systems in accordance with the paradigm Industry-4.0.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"28 1","pages":"000327-000332"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75747338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/SISY.2018.8524740
Komelia Lazanyi
In the age of the fourth industrial revolution, where collaborative systems are the real innovation people are still not prepared for the results of the third revolution, namely for artificial intelligence. While every change has its life cycle with innovators, early adopters, early majority before it can reach its fruition, the age of robots has too fast been followed by the internet of things (IoT) of the fourth industrial revolution. Hence, people didn't have enough time to adapt to the change. In present paper a primary research is presented, that aimed to explore the attitude of young adolescents towards artificial intelligence. Based on the result, trust is clearly one of the main issues regarding change in general and readiness in particular. People are not ready for robotic peers within their workplace yet. Psychological and emotive needs shall be addressed for the people to accept artificial intelligence in their workplace and surrounding.
{"title":"Readiness for Artificial Intelligence","authors":"Komelia Lazanyi","doi":"10.1109/SISY.2018.8524740","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524740","url":null,"abstract":"In the age of the fourth industrial revolution, where collaborative systems are the real innovation people are still not prepared for the results of the third revolution, namely for artificial intelligence. While every change has its life cycle with innovators, early adopters, early majority before it can reach its fruition, the age of robots has too fast been followed by the internet of things (IoT) of the fourth industrial revolution. Hence, people didn't have enough time to adapt to the change. In present paper a primary research is presented, that aimed to explore the attitude of young adolescents towards artificial intelligence. Based on the result, trust is clearly one of the main issues regarding change in general and readiness in particular. People are not ready for robotic peers within their workplace yet. Psychological and emotive needs shall be addressed for the people to accept artificial intelligence in their workplace and surrounding.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"53 1","pages":"000235-000238"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90439301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/SISY.2018.8524858
Z. Gobor, P. Odry, A. Várkonyi-Kóczy
The free-climbing robots are the alternative to wheeled vehicles, because the legged locomotion allows mobility on the steep gradients under the harsh environmental conditions. The steady progression requires coordination of leg movements for which the force sensors implemented in the joints of the robot legs are not always sufficient. Considering the previous developments in the field of robotics, the combination of the impedance and vision sensors comprises an obvious solution for providing stable and accurate contact between the individual legs and the ground. The implementation of additional, non-invasive sensor/s on all the legs of the hexapod robotic platform, for the indirect measuring and analysis of the terrain surface, is investigated. Furthermore, a method for the parametric 3D modeling of simulation assemblies is described in a mixed top-down, bottom-up and middle-out design approach. Mechanisms were created using the common origin skeletal modeling (top-down approach), allowing the context analysis and the definition of the parameters for the further numerical optimization in an early phase of the development. Finally, the applicability of the anytime approach during the optimization of the mechanical parts of the mechanism in the design process was tested.
{"title":"Preliminary Considerations in the Design of a Sensor for Improving the Reference Trajectory Calculation for the Individual Leg of a Hexapod","authors":"Z. Gobor, P. Odry, A. Várkonyi-Kóczy","doi":"10.1109/SISY.2018.8524858","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524858","url":null,"abstract":"The free-climbing robots are the alternative to wheeled vehicles, because the legged locomotion allows mobility on the steep gradients under the harsh environmental conditions. The steady progression requires coordination of leg movements for which the force sensors implemented in the joints of the robot legs are not always sufficient. Considering the previous developments in the field of robotics, the combination of the impedance and vision sensors comprises an obvious solution for providing stable and accurate contact between the individual legs and the ground. The implementation of additional, non-invasive sensor/s on all the legs of the hexapod robotic platform, for the indirect measuring and analysis of the terrain surface, is investigated. Furthermore, a method for the parametric 3D modeling of simulation assemblies is described in a mixed top-down, bottom-up and middle-out design approach. Mechanisms were created using the common origin skeletal modeling (top-down approach), allowing the context analysis and the definition of the parameters for the further numerical optimization in an early phase of the development. Finally, the applicability of the anytime approach during the optimization of the mechanical parts of the mechanism in the design process was tested.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"3 1","pages":"000057-000062"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78419595","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}