Pub Date : 2017-10-01DOI: 10.1109/ICAT.2017.8171630
E. Žunić, A. Besirevic, Rijad Skrobo, H. Hasic, K. Hodzic, Almir Djedovic
Warehouse Management Systems (WMS) play a major role in optimizing warehouse logistic processes, archiving merchant trends of supply and demand, and also easen treating of goods which are close to expiring deadline, out of stock, broken or deposited by customers. Since warehouse management systems may be integrated with business intelligence, they may comprise algorithms for optimization of warehouse order picking and storing of goods, sales prediction etc. In this article case study of warehouse management system is presented, and afterwards problem of optimal warehouse order picking is exhibited. This problem is transformed into Travelling Salesman Problem (TSP), and solved using heuristic optimization methods.
{"title":"Design of optimization system for warehouse order picking in real environment","authors":"E. Žunić, A. Besirevic, Rijad Skrobo, H. Hasic, K. Hodzic, Almir Djedovic","doi":"10.1109/ICAT.2017.8171630","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171630","url":null,"abstract":"Warehouse Management Systems (WMS) play a major role in optimizing warehouse logistic processes, archiving merchant trends of supply and demand, and also easen treating of goods which are close to expiring deadline, out of stock, broken or deposited by customers. Since warehouse management systems may be integrated with business intelligence, they may comprise algorithms for optimization of warehouse order picking and storing of goods, sales prediction etc. In this article case study of warehouse management system is presented, and afterwards problem of optimal warehouse order picking is exhibited. This problem is transformed into Travelling Salesman Problem (TSP), and solved using heuristic optimization methods.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"57 24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133868707","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171605
Alexandru Andrei Muresan, A. Ciupe, S. Meza, B. Orza
Studio lighting presets can be generated based on the various lighting schemes and their effect on the subject. As access to photography studios is time-limited, generating such presets can help learners to enhance their understanding on the lighting principles and professionals to test an imagined setup and to compare the output with the desired results. The current work uses the principles of simulation through 3D scene modeling and configuration to deliver a solution that may be used to simulate lighting behavior on human portraits in a photography studio. The virtual lighting setup simulates a real studio consisting of 4 lights, each virtually customizable in terms of: beam form (point, directional, spot); color temperature and intensity. In a complementary 3D scene, the position of each light towards the subject (3D human portrait) may be controlled (distance, angle, azimuth, elevation, tilt), providing the user with a high degree of flexibility.
{"title":"3D configurator for portrait lighting simulations","authors":"Alexandru Andrei Muresan, A. Ciupe, S. Meza, B. Orza","doi":"10.1109/ICAT.2017.8171605","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171605","url":null,"abstract":"Studio lighting presets can be generated based on the various lighting schemes and their effect on the subject. As access to photography studios is time-limited, generating such presets can help learners to enhance their understanding on the lighting principles and professionals to test an imagined setup and to compare the output with the desired results. The current work uses the principles of simulation through 3D scene modeling and configuration to deliver a solution that may be used to simulate lighting behavior on human portraits in a photography studio. The virtual lighting setup simulates a real studio consisting of 4 lights, each virtually customizable in terms of: beam form (point, directional, spot); color temperature and intensity. In a complementary 3D scene, the position of each light towards the subject (3D human portrait) may be controlled (distance, angle, azimuth, elevation, tilt), providing the user with a high degree of flexibility.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127077054","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171607
Kemal Lutvica, S. Konjicija
This paper gives a brief overview of the current state in the ant colony optimization (ACO) field of study. Furthermore, it introduces an alternative pheromone laying strategy for the ACO algorithm. In the paper, the newly introduced strategy is implemented, tested on a model problem and compared with the classical approach. A parameterized problem space generator has been introduced. The generator generates graphs along which ants are allowed to move freely on the Y axis, but constrained to increment the current value on the X axis by one with each move. In this way, a dynamic decision making optimization problem with the goal of minimizing the path from an arbitrary starting node to an arbitrary finish node has been simulated. Using the ACO algorithm, the generated problems are being solved with the classical pheromone laying approach and the modified approach, introduced in this paper. The obtained results unequivocally indicate that the introduced modification has the potential to serve as an improvement for the ACO algorithm in general.
{"title":"Alternative pheromone laying strategy — An improvement for the ACO algorithm","authors":"Kemal Lutvica, S. Konjicija","doi":"10.1109/ICAT.2017.8171607","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171607","url":null,"abstract":"This paper gives a brief overview of the current state in the ant colony optimization (ACO) field of study. Furthermore, it introduces an alternative pheromone laying strategy for the ACO algorithm. In the paper, the newly introduced strategy is implemented, tested on a model problem and compared with the classical approach. A parameterized problem space generator has been introduced. The generator generates graphs along which ants are allowed to move freely on the Y axis, but constrained to increment the current value on the X axis by one with each move. In this way, a dynamic decision making optimization problem with the goal of minimizing the path from an arbitrary starting node to an arbitrary finish node has been simulated. Using the ACO algorithm, the generated problems are being solved with the classical pheromone laying approach and the modified approach, introduced in this paper. The obtained results unequivocally indicate that the introduced modification has the potential to serve as an improvement for the ACO algorithm in general.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129122312","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171647
Sejla Dzakmic, T. Namas, I. Džafić
The continuity of service in power systems has a vital economical and social impact on all shareholders; generation, transmission and distribution, and end users. Fault classification within transmission and distribution networks plays an important role in power restoration for guaranteed service continuity. With advances in digital signal processing in terms of speed and algorithms, the use of wavelets transform is made easy and feasible for real-time applications in power systems. In this paper we present two methods of fault classification using Discrete Wavelet Transforms (DWT). The coefficients of the wavelet decomposition of fault signals are correlated with the coefficients of signals in normal working conditions to deduce fault information. Haar wavelets and multi-resolution analysis are used for detecting the faulty phase while Daubechies wavelet is used to determine if the fault to ground or not. Both suggested methods succeeded in all types of faults simulated using Simulink.
{"title":"Fault classification using multi-resolution analysis and discrete wavelet transforms","authors":"Sejla Dzakmic, T. Namas, I. Džafić","doi":"10.1109/ICAT.2017.8171647","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171647","url":null,"abstract":"The continuity of service in power systems has a vital economical and social impact on all shareholders; generation, transmission and distribution, and end users. Fault classification within transmission and distribution networks plays an important role in power restoration for guaranteed service continuity. With advances in digital signal processing in terms of speed and algorithms, the use of wavelets transform is made easy and feasible for real-time applications in power systems. In this paper we present two methods of fault classification using Discrete Wavelet Transforms (DWT). The coefficients of the wavelet decomposition of fault signals are correlated with the coefficients of signals in normal working conditions to deduce fault information. Haar wavelets and multi-resolution analysis are used for detecting the faulty phase while Daubechies wavelet is used to determine if the fault to ground or not. Both suggested methods succeeded in all types of faults simulated using Simulink.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122645890","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171623
M. Alhammadi, D. Svetinovic
The development of self-adaptive system is challenging due the complexity of modeling the system adaptations. Autonomy Requirements Engineering (ARE) tackles this challenge by eliciting and specifying the autonomy requirements. ARE is a type of a goal-oriented requirements engineering method that helps model the system objectives with generic autonomy requirements. ARE provides a potential requirements modeling solution for the unmanned space mission systems, which are required to be highly adaptive. In this paper, we present the preliminary results of applying ARE to a micro-satellite case study: CubeSat mission MYSAT-1. We have found that ARE specification of CubeSat mission improves the communication and the system functionality for the current specification and the implementation of the system.
{"title":"Autonomy requirements engineering for micro-satellite systems: CubeSat case study","authors":"M. Alhammadi, D. Svetinovic","doi":"10.1109/ICAT.2017.8171623","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171623","url":null,"abstract":"The development of self-adaptive system is challenging due the complexity of modeling the system adaptations. Autonomy Requirements Engineering (ARE) tackles this challenge by eliciting and specifying the autonomy requirements. ARE is a type of a goal-oriented requirements engineering method that helps model the system objectives with generic autonomy requirements. ARE provides a potential requirements modeling solution for the unmanned space mission systems, which are required to be highly adaptive. In this paper, we present the preliminary results of applying ARE to a micro-satellite case study: CubeSat mission MYSAT-1. We have found that ARE specification of CubeSat mission improves the communication and the system functionality for the current specification and the implementation of the system.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126658681","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171617
David Arengas, A. Kroll
Performing experiments for system identification is prohibitive in some processes due to restrictions in production or due to requirements for a safe operation. In such situations, system identification with historical data records can become a suitable alternative. Nonetheless, these data records are mainly stationary because few transient changes occur. Thus, the available data records can be considered “little” informative and the model quality may be affected using these data sets. In this contribution, a novel search method to find informative data in large mostly stationary data sets is presented. In contrast to available search methods, independent moving windows are used to screen the data and detect transient changes. The performance of the proposed method is demonstrated on case studies. Results demonstrate that parameter biases of a selected model decrease and small changes in variances of the parameters are observed using the selected subset for parameter estimation.
{"title":"Searching for informative intervals in predominantly stationary data records to support system identification","authors":"David Arengas, A. Kroll","doi":"10.1109/ICAT.2017.8171617","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171617","url":null,"abstract":"Performing experiments for system identification is prohibitive in some processes due to restrictions in production or due to requirements for a safe operation. In such situations, system identification with historical data records can become a suitable alternative. Nonetheless, these data records are mainly stationary because few transient changes occur. Thus, the available data records can be considered “little” informative and the model quality may be affected using these data sets. In this contribution, a novel search method to find informative data in large mostly stationary data sets is presented. In contrast to available search methods, independent moving windows are used to screen the data and detect transient changes. The performance of the proposed method is demonstrated on case studies. Results demonstrate that parameter biases of a selected model decrease and small changes in variances of the parameters are observed using the selected subset for parameter estimation.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114557669","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171604
D. Boskovic, S. Rizvić, V. Okanović, Sanda Sljivo, Nusret Sinanovic
In our research we address the common and important problem of measuring users' experience in multimedia cultural heritage applications. Our objective is to develop a simple and efficient instrument capable to highlight both main qualities and major difficulties in using such applications for different types of users. We address specific objectives of usability for multimedia cultural heritage applications: immersion and edutainment. In addition to identifying best features and flaws, the results of measurement provide a tool for a comparison of different applications.
{"title":"Measuring immersion and edutainment in multimedia cultural heritage applications","authors":"D. Boskovic, S. Rizvić, V. Okanović, Sanda Sljivo, Nusret Sinanovic","doi":"10.1109/ICAT.2017.8171604","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171604","url":null,"abstract":"In our research we address the common and important problem of measuring users' experience in multimedia cultural heritage applications. Our objective is to develop a simple and efficient instrument capable to highlight both main qualities and major difficulties in using such applications for different types of users. We address specific objectives of usability for multimedia cultural heritage applications: immersion and edutainment. In addition to identifying best features and flaws, the results of measurement provide a tool for a comparison of different applications.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"13 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123277954","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171610
Hana Sahinbegovic, Laila Mušić, Berina Alić
Analysis of electromyography (EMG) signals of normal physical actions have found to be important in order to detect certain abnormalities of the musculoskeletal system and diagnose abnormalities in patient behavior. This paper presents the results of the development of an Artificial Neural Network (ANN) for classification of EMG signals, according to the type of human behavior. The developed ANN is able to distinguish between 10 normal behaviors: bowing, clapping, handshaking, hugging, jumping, running, sitting, standing, walking, and waving. Feedforward neural network architecture was developed using dataset from UCI Machine Learning Repository database. QPC of each episode in EMG signal were obtained using bispectrum signal analysis. Training of ANN was performed using k-fold cross validation and impact of different number of neurons in hidden layer on system output was evaluated. Finally, the single-layer, feedforward neural network architecture with 17 neurons in hidden layer achieved the best performance and had sensitivity of 86.67% and of specificity 85.00%. The overall accuracy of developed structure is 86.25%.
{"title":"Distinguishing physical actions using an artificial neural network","authors":"Hana Sahinbegovic, Laila Mušić, Berina Alić","doi":"10.1109/ICAT.2017.8171610","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171610","url":null,"abstract":"Analysis of electromyography (EMG) signals of normal physical actions have found to be important in order to detect certain abnormalities of the musculoskeletal system and diagnose abnormalities in patient behavior. This paper presents the results of the development of an Artificial Neural Network (ANN) for classification of EMG signals, according to the type of human behavior. The developed ANN is able to distinguish between 10 normal behaviors: bowing, clapping, handshaking, hugging, jumping, running, sitting, standing, walking, and waving. Feedforward neural network architecture was developed using dataset from UCI Machine Learning Repository database. QPC of each episode in EMG signal were obtained using bispectrum signal analysis. Training of ANN was performed using k-fold cross validation and impact of different number of neurons in hidden layer on system output was evaluated. Finally, the single-layer, feedforward neural network architecture with 17 neurons in hidden layer achieved the best performance and had sensitivity of 86.67% and of specificity 85.00%. The overall accuracy of developed structure is 86.25%.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128531242","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171613
D. Trivun, H. Dindo, B. Lacevic
In this paper, we present a method of learning desired behaviour of the specific robotic system and transfer of the existing knowledge in the event of partial system failure. Six-legged robot (hexapod) built on top of the Bioloid platform is used for the method verification. We use genetic algorithms to optimize the hexapod's gait, after which we simulate physical damage caused to the robot. The goal of this method is to optimize the gait in accordance with the actual robot morphology, instead of the assumed one. Also, knowledge that was previously gained will be transferred in order to improve the results. Nonstandard genetic algorithm with the specific mixed population is used for this.
{"title":"Resilient hexapod robot","authors":"D. Trivun, H. Dindo, B. Lacevic","doi":"10.1109/ICAT.2017.8171613","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171613","url":null,"abstract":"In this paper, we present a method of learning desired behaviour of the specific robotic system and transfer of the existing knowledge in the event of partial system failure. Six-legged robot (hexapod) built on top of the Bioloid platform is used for the method verification. We use genetic algorithms to optimize the hexapod's gait, after which we simulate physical damage caused to the robot. The goal of this method is to optimize the gait in accordance with the actual robot morphology, instead of the assumed one. Also, knowledge that was previously gained will be transferred in order to improve the results. Nonstandard genetic algorithm with the specific mixed population is used for this.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129270322","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171640
A. Akšamović, Muris Hebibovic, D. Boskovic
The paper presents the Wireless Sensor Network (WSN) Simulator and its usage for designing the forest fire early detection system. The WSN Simulator is developed based on proposed Sensor model and WSN model. The WSN Simulator address important design issues as: coverage of the area under surveillance in relation to initial sensor deployment, number of sensors needed for targeted deployment, and coverage change as function of time. Simulator is scalable, and can be easily extended to include additional modeling provisions.
{"title":"Forest fire early detection system design utilising the WSN simulator","authors":"A. Akšamović, Muris Hebibovic, D. Boskovic","doi":"10.1109/ICAT.2017.8171640","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171640","url":null,"abstract":"The paper presents the Wireless Sensor Network (WSN) Simulator and its usage for designing the forest fire early detection system. The WSN Simulator is developed based on proposed Sensor model and WSN model. The WSN Simulator address important design issues as: coverage of the area under surveillance in relation to initial sensor deployment, number of sensors needed for targeted deployment, and coverage change as function of time. Simulator is scalable, and can be easily extended to include additional modeling provisions.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127407801","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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