Encouraged by the recent progress in the FPAA technology, we propose a flexible membership functi... more Encouraged by the recent progress in the FPAA technology, we propose a flexible membership functions synthesis method based on the configurable filter blocks. Based on the actual paradigm of FPAA we consider an interesting and promising idea to implement the membership functions using the frequency-response curves of the analog filters. The other specific functional blocks can be implemented with programmable analog structures obtaining a complete unit for fuzzy inference processing.
Digitizing is the way for a revolutionary approach in knowing, analyzing, continuous monitoring, ... more Digitizing is the way for a revolutionary approach in knowing, analyzing, continuous monitoring, and preserving the tangible immovable cultural heritage. The built cultural heritage requires the most performant means and techniques to acquire information indoor and outdoor. Drones are the best platforms for this purpose in terms of operating costs, data accuracy, and mission planning flexibility. In this chapter, we present a survey on the main applications of drones in the field of built cultural heritage analyzing the usability of this technology. Essential technical issues that are important for the operation and understanding of the use of drones in specific missions for the study of built heritage are also discussed.
The biggest problem faced by the specialists in the field of cultural heritage is the identificat... more The biggest problem faced by the specialists in the field of cultural heritage is the identification of the original elements for their separation from the large mass of the mosaic components that come from completions of the different restoration works. This chapter deals with analytical models for statistical evaluation of the morphological and chromatic characteristics that represent suitable metrics for making decisions in the field of cultural heritage. A classifier model based on fuzzy logical inference, which integrates discrete and statistical characteristics of the mosaic components, is presented. The classification will be done in a space of conventional measures (metrics) for identifying and separating the mosaic components. The exemplification of the method is made on the Roman Mosaic of Constanta, a historical monument that is currently in an advanced stage of deterioration and which requires urgent restoration-conservation interventions. This artifact dates from the third or fourth century, (possibly under the emperor Constantine the Great, 306-337); it is a pavement that has decorative elements specific to this marine area, part of a large construction that took place, in antiquity on three terraces, located on the Black Sea on the docks of the old Port Tomis.
The mental modeling in terms of sensory-motor changes is one of the most challenging task in arti... more The mental modeling in terms of sensory-motor changes is one of the most challenging task in artificial inteligence and definitely is an important milestone for engineering and neurosciences. This paper starts from a reverse engineering perspective comparing functionality between real system - the brain and target system - the simulation model. At the conceptual level, we particularly analyse the three stages involved in mental functional mode of human action: sensory, perceptual, and representational (SPR). We proposed some structural models for basic functional modules and for the entire sensory-motor chain. The basic evidences that motivate us to consider fuzzy systems as suitable models for mental mechanisms in terms of sensory-motor changes are discussed. In this research we developed some minimal fuzzy inference systems simulating sensory, perception and representation blocks with specific fuzzified inputs. The three blocks connected into so called SPR structure is simulated in a certain scenario of human action and the results are analyzed from the perspective of human consistency. The proposed model is designed as a general case to study the action mode based on visual stimuli with common task to avoid the collision with an obstacle by controlling braking in car driving. The results show good agreement between simulated signals and human reactions in context.
2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2017
In this paper we present a solution for the classification of different patterns from seismic sig... more In this paper we present a solution for the classification of different patterns from seismic signals generated by different human activities for which an automatic recognition is required. Some a priori known signals were available, which gave us the possibility to represent them in feature space in order to capture their global characteristics. The classification of signals is based on computing the Mahalanobis distance in feature space and finding the smallest distance. At the end of the paper we present the results obtained for 108 signals acquired from 8 different vibration sources, the source of each signal being already known. The approach to feature engineering and feature selection presented in this paper is generic and can be applied to a large class of classification problems.
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009
This paper presents some results with application in area of web-based knowledge retrieval. The k... more This paper presents some results with application in area of web-based knowledge retrieval. The key issue on the relevant topics retrieving in practice is that the results returned by the actual search engines do not provide fully satisfaction to the user in terms of his or her informational needs. Considering the information utility is correlated to the semantic meaning - that is: if the information has the expected meaning then it can be considered to be useful. A measure of information utility in the contents is given by the relevancy of the search terms. In our study we achieve a preliminary experimental investigation on the set of informational sources, comparing the ranking of the documents by three distinct methods. One is based on a fuzzy logic relevance filter that was proposed as an original method by the author in his previous work. Its outcomes are compared with the answers returned by a popular web search engine and also with the solutions provided by the user. This research aims to improve the technology of intelligent information retrieval to access the relevant e-content.
2009 International Conference on Machine Learning and Applications, 2009
One of the very sensitive issues in the management of electrical energy consists in real time acq... more One of the very sensitive issues in the management of electrical energy consists in real time acquiring of the pattern consumption. Based on a systemic approach, we propose in this paper an agent-oriented architecture which is able to collect and to communicate efficiently the data in order to perform the knowledge extraction on power demand. In particularly, the holonic approach is proposed for structural modeling for such kind of large-scale complicated system. The issues related on knowledge management are pointed out in the context of electrical delivery to the residential areas, in terms of multi agent holonic systems. This approach opens the perspective towards the cognitive power networks including sensing, awareness of, learning about, and adapting to demands.
Proceedings of the International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013, 2013
ABSTRACT This paper presents an efficient video surveillance system which consists of a network c... more ABSTRACT This paper presents an efficient video surveillance system which consists of a network camera and an algorithm for automatically detection of the human faces in the monitoring area via real time video contents analysis. The main contribution of this research consists in a software application which is able to process the images received from the camera in order to detect human faces and trigger the process of saving the live stream as a video file. The algorithm for face-detection is based on the integral image (summed area table) - a model which allows the calculation of the sum of all pixels values from any rectangular area in the original image by doing only four operations of addition or subtraction. In addition, the application also includes a file containing data about needed tests in the detection algorithm by analyzing multiple images as templates. The application is written in C# language and experimental results are presented for images with different sizes and backgrounds.
This paper suggests some approaches to theoretical aspects on the chaotic sensitiveness of system... more This paper suggests some approaches to theoretical aspects on the chaotic sensitiveness of systems with implications on their reliability and proposes a methodology for discovering their failing susceptibility. Besides the classical statistic method of reliability we also use the causal relationships analysis. Thus, the analytic study of the deterministic chaos in dynamic systems is a useful issue. We refer here to deterministic chaos as a general modeling technique of the failing process in assemblies and components. The subject is focused on the technical systems, but the exposed principles are valid for any kind of system. The paper discusses relevant aspects of systems failing as follows: the oscillation of cause and eects, the recurrence of states as well as the sensitivity of systems by initial states. In this context, the systemÕs failure is considered as stability loss by chaotic behavior.
The biggest problem faced by the specialists in the field of cultural heritage is the identificat... more The biggest problem faced by the specialists in the field of cultural heritage is the identification of the original elements for their separation from the large mass of the mosaic components that come from completions of the different restoration works. This chapter deals with analytical models for statistical evaluation of the morphological and chromatic characteristics that represent suitable metrics for making decisions in the field of cultural heritage. A classifier model based on fuzzy logical inference, which integrates discrete and statistical characteristics of the mosaic components, is presented. The classification will be done in a space of conventional measures (metrics) for identifying and separating the mosaic components. The exemplification of the method is made on the Roman Mosaic of Constanta, a historical monument that is currently in an advanced stage of deterioration and which requires urgent restoration-conservation interventions. This artifact dates from the th...
2020 43rd International Spring Seminar on Electronics Technology (ISSE), 2020
The growing interest for BCI applications (Brain Computer Interface) as well as more ambitious pr... more The growing interest for BCI applications (Brain Computer Interface) as well as more ambitious projects for the development of neuromorphic structures requires an intense research on the electrical activity of the human brain. The brain represents a complex structure of circuits being a relevant reference for the technology of interconnected and packaging in electronics. This paper presents a contribution to the modeling of the human head from the electrical point of view of the propagation properties of the electrical signals, taking into account also the biological structural complexity of the head composed of heterogeneous tissues. It aims to model with passive circuits by evaluating the equivalent impedances of the tissues crossed by electrical biocurrents. In this paper are presented theoretical assessments based on simulated circuit models and electrical parameters reported in the specialized literature. These results are compared with measurements made with a precision impedance bridge, in standard EEG capture points.
2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2017
One of the most important issues that define the quality of life is the security and security of ... more One of the most important issues that define the quality of life is the security and security of the people against the current threats mainly coming from terrorism. Traffic with narcotics and the irresponsible consumption of some drugs are also serious problems for humanity. The science and technology is on the permanent race to help authorities combat illegal activities such as explosives and narcotics before they produce the effects. The equipment that helps combat these threats should meet several requirements such as sensitivity, accuracy — in terms of specificity and false alarm rate, and time of detection. In this paper we present our work to develop an original equipment for scanning suspect packages to detect the strongest explosives and also some narcotics exploiting the phenomenon of Nuclear Quadrupole Resonance (NQR). The HW solution is presented as well as the main constructive aspects of the prototype are discussed. In this paper are provided results of tests using two reference substances containing 14N: sodium nitrite and paracetamol.
Advanced Methods and New Materials for Cultural Heritage Preservation [Working Title], 2019
This chapter describes how optical information and advanced image processing can be used to study... more This chapter describes how optical information and advanced image processing can be used to study archeological objects and artworks in order to determine more precisely and noninvasively the characteristics of the shape and color of artifacts. The purpose of this research is to develop a passive experimental technique for artifact investigation to help human experts make the best decisions in the process of authenticating and preserving-restoring objects. The method used is digital capture of object images followed by processing them with specialized software tools to analyze the chromatic characteristics and apparent geometric details. The proposed methodology consists of intelligently combining digital image analysis functions to build a set of chromatic-structural features useful for recognizing possible differences and estimating color and shape evolution. The investigation of the artifacts through digital image processing is a noninvasive and precise complementary method of analysis that can reduce the costs, and it must be extensively integrated into decision support systems for experts and curators in the field of artistic heritage preservation.
IOP Conference Series: Materials Science and Engineering, 2017
Mobility is a basic necessity of contemporary society and it is a key factor in global economic d... more Mobility is a basic necessity of contemporary society and it is a key factor in global economic development. The basic requirements for the transport of people and goods are: safety and duration of travel, but also a number of additional criteria are very important: energy saving, pollution, passenger comfort. Due to advances in hardware and software, automation has penetrated massively in transport systems both on infrastructure and on vehicles, but man is still the key element in vehicle driving. However, the classic concept of 'human-in-the-loop' in terms of 'hands on' in driving the cars is competing aside from the self-driving startups working towards so-called 'Level 4 autonomy', which is defined as "a self-driving system that does not requires human intervention in most scenarios". In this paper, a conceptual synthesis of the autonomous vehicle issue is made in connection with the artificial intelligence paradigm. It presents a classification of the tasks that take place during the driving of the vehicle and its modeling from the perspective of traditional control engineering and artificial intelligence. The issue of autonomous vehicle management is addressed on three levels: navigation, movement in traffic, respectively effective maneuver and vehicle dynamics control. Each level is then described in terms of specific tasks, such as: route selection, planning and reconfiguration, recognition of traffic signs and reaction to signaling and traffic events, as well as control of effective speed, distance and direction. The approach will lead to a better understanding of the way technology is moving when talking about autonomous cars, smart/intelligent cars or intelligent transport systems.
Newsday fuzzy systems are applied in many interdisciplinary fields, in which artificial intellige... more Newsday fuzzy systems are applied in many interdisciplinary fields, in which artificial intelligent tools are utilized to analyze different data in the corresponding fields. Under this background, the 2nd International Conference on Fuzzy Systems and Data Mining (FSDM 2016), organized by Macau University of Science and Technology, is scheduled to be held in Macau, December 11-14, 2016. This special issue contains some selected papers related to fuzzy systems, data mining and their applications, which provides some highlights on fuzzy systems and data mining during the past years in East Asia.
Encouraged by the recent progress in the FPAA technology, we propose a flexible membership functi... more Encouraged by the recent progress in the FPAA technology, we propose a flexible membership functions synthesis method based on the configurable filter blocks. Based on the actual paradigm of FPAA we consider an interesting and promising idea to implement the membership functions using the frequency-response curves of the analog filters. The other specific functional blocks can be implemented with programmable analog structures obtaining a complete unit for fuzzy inference processing.
Digitizing is the way for a revolutionary approach in knowing, analyzing, continuous monitoring, ... more Digitizing is the way for a revolutionary approach in knowing, analyzing, continuous monitoring, and preserving the tangible immovable cultural heritage. The built cultural heritage requires the most performant means and techniques to acquire information indoor and outdoor. Drones are the best platforms for this purpose in terms of operating costs, data accuracy, and mission planning flexibility. In this chapter, we present a survey on the main applications of drones in the field of built cultural heritage analyzing the usability of this technology. Essential technical issues that are important for the operation and understanding of the use of drones in specific missions for the study of built heritage are also discussed.
The biggest problem faced by the specialists in the field of cultural heritage is the identificat... more The biggest problem faced by the specialists in the field of cultural heritage is the identification of the original elements for their separation from the large mass of the mosaic components that come from completions of the different restoration works. This chapter deals with analytical models for statistical evaluation of the morphological and chromatic characteristics that represent suitable metrics for making decisions in the field of cultural heritage. A classifier model based on fuzzy logical inference, which integrates discrete and statistical characteristics of the mosaic components, is presented. The classification will be done in a space of conventional measures (metrics) for identifying and separating the mosaic components. The exemplification of the method is made on the Roman Mosaic of Constanta, a historical monument that is currently in an advanced stage of deterioration and which requires urgent restoration-conservation interventions. This artifact dates from the third or fourth century, (possibly under the emperor Constantine the Great, 306-337); it is a pavement that has decorative elements specific to this marine area, part of a large construction that took place, in antiquity on three terraces, located on the Black Sea on the docks of the old Port Tomis.
The mental modeling in terms of sensory-motor changes is one of the most challenging task in arti... more The mental modeling in terms of sensory-motor changes is one of the most challenging task in artificial inteligence and definitely is an important milestone for engineering and neurosciences. This paper starts from a reverse engineering perspective comparing functionality between real system - the brain and target system - the simulation model. At the conceptual level, we particularly analyse the three stages involved in mental functional mode of human action: sensory, perceptual, and representational (SPR). We proposed some structural models for basic functional modules and for the entire sensory-motor chain. The basic evidences that motivate us to consider fuzzy systems as suitable models for mental mechanisms in terms of sensory-motor changes are discussed. In this research we developed some minimal fuzzy inference systems simulating sensory, perception and representation blocks with specific fuzzified inputs. The three blocks connected into so called SPR structure is simulated in a certain scenario of human action and the results are analyzed from the perspective of human consistency. The proposed model is designed as a general case to study the action mode based on visual stimuli with common task to avoid the collision with an obstacle by controlling braking in car driving. The results show good agreement between simulated signals and human reactions in context.
2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2017
In this paper we present a solution for the classification of different patterns from seismic sig... more In this paper we present a solution for the classification of different patterns from seismic signals generated by different human activities for which an automatic recognition is required. Some a priori known signals were available, which gave us the possibility to represent them in feature space in order to capture their global characteristics. The classification of signals is based on computing the Mahalanobis distance in feature space and finding the smallest distance. At the end of the paper we present the results obtained for 108 signals acquired from 8 different vibration sources, the source of each signal being already known. The approach to feature engineering and feature selection presented in this paper is generic and can be applied to a large class of classification problems.
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009
This paper presents some results with application in area of web-based knowledge retrieval. The k... more This paper presents some results with application in area of web-based knowledge retrieval. The key issue on the relevant topics retrieving in practice is that the results returned by the actual search engines do not provide fully satisfaction to the user in terms of his or her informational needs. Considering the information utility is correlated to the semantic meaning - that is: if the information has the expected meaning then it can be considered to be useful. A measure of information utility in the contents is given by the relevancy of the search terms. In our study we achieve a preliminary experimental investigation on the set of informational sources, comparing the ranking of the documents by three distinct methods. One is based on a fuzzy logic relevance filter that was proposed as an original method by the author in his previous work. Its outcomes are compared with the answers returned by a popular web search engine and also with the solutions provided by the user. This research aims to improve the technology of intelligent information retrieval to access the relevant e-content.
2009 International Conference on Machine Learning and Applications, 2009
One of the very sensitive issues in the management of electrical energy consists in real time acq... more One of the very sensitive issues in the management of electrical energy consists in real time acquiring of the pattern consumption. Based on a systemic approach, we propose in this paper an agent-oriented architecture which is able to collect and to communicate efficiently the data in order to perform the knowledge extraction on power demand. In particularly, the holonic approach is proposed for structural modeling for such kind of large-scale complicated system. The issues related on knowledge management are pointed out in the context of electrical delivery to the residential areas, in terms of multi agent holonic systems. This approach opens the perspective towards the cognitive power networks including sensing, awareness of, learning about, and adapting to demands.
Proceedings of the International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013, 2013
ABSTRACT This paper presents an efficient video surveillance system which consists of a network c... more ABSTRACT This paper presents an efficient video surveillance system which consists of a network camera and an algorithm for automatically detection of the human faces in the monitoring area via real time video contents analysis. The main contribution of this research consists in a software application which is able to process the images received from the camera in order to detect human faces and trigger the process of saving the live stream as a video file. The algorithm for face-detection is based on the integral image (summed area table) - a model which allows the calculation of the sum of all pixels values from any rectangular area in the original image by doing only four operations of addition or subtraction. In addition, the application also includes a file containing data about needed tests in the detection algorithm by analyzing multiple images as templates. The application is written in C# language and experimental results are presented for images with different sizes and backgrounds.
This paper suggests some approaches to theoretical aspects on the chaotic sensitiveness of system... more This paper suggests some approaches to theoretical aspects on the chaotic sensitiveness of systems with implications on their reliability and proposes a methodology for discovering their failing susceptibility. Besides the classical statistic method of reliability we also use the causal relationships analysis. Thus, the analytic study of the deterministic chaos in dynamic systems is a useful issue. We refer here to deterministic chaos as a general modeling technique of the failing process in assemblies and components. The subject is focused on the technical systems, but the exposed principles are valid for any kind of system. The paper discusses relevant aspects of systems failing as follows: the oscillation of cause and eects, the recurrence of states as well as the sensitivity of systems by initial states. In this context, the systemÕs failure is considered as stability loss by chaotic behavior.
The biggest problem faced by the specialists in the field of cultural heritage is the identificat... more The biggest problem faced by the specialists in the field of cultural heritage is the identification of the original elements for their separation from the large mass of the mosaic components that come from completions of the different restoration works. This chapter deals with analytical models for statistical evaluation of the morphological and chromatic characteristics that represent suitable metrics for making decisions in the field of cultural heritage. A classifier model based on fuzzy logical inference, which integrates discrete and statistical characteristics of the mosaic components, is presented. The classification will be done in a space of conventional measures (metrics) for identifying and separating the mosaic components. The exemplification of the method is made on the Roman Mosaic of Constanta, a historical monument that is currently in an advanced stage of deterioration and which requires urgent restoration-conservation interventions. This artifact dates from the th...
2020 43rd International Spring Seminar on Electronics Technology (ISSE), 2020
The growing interest for BCI applications (Brain Computer Interface) as well as more ambitious pr... more The growing interest for BCI applications (Brain Computer Interface) as well as more ambitious projects for the development of neuromorphic structures requires an intense research on the electrical activity of the human brain. The brain represents a complex structure of circuits being a relevant reference for the technology of interconnected and packaging in electronics. This paper presents a contribution to the modeling of the human head from the electrical point of view of the propagation properties of the electrical signals, taking into account also the biological structural complexity of the head composed of heterogeneous tissues. It aims to model with passive circuits by evaluating the equivalent impedances of the tissues crossed by electrical biocurrents. In this paper are presented theoretical assessments based on simulated circuit models and electrical parameters reported in the specialized literature. These results are compared with measurements made with a precision impedance bridge, in standard EEG capture points.
2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2017
One of the most important issues that define the quality of life is the security and security of ... more One of the most important issues that define the quality of life is the security and security of the people against the current threats mainly coming from terrorism. Traffic with narcotics and the irresponsible consumption of some drugs are also serious problems for humanity. The science and technology is on the permanent race to help authorities combat illegal activities such as explosives and narcotics before they produce the effects. The equipment that helps combat these threats should meet several requirements such as sensitivity, accuracy — in terms of specificity and false alarm rate, and time of detection. In this paper we present our work to develop an original equipment for scanning suspect packages to detect the strongest explosives and also some narcotics exploiting the phenomenon of Nuclear Quadrupole Resonance (NQR). The HW solution is presented as well as the main constructive aspects of the prototype are discussed. In this paper are provided results of tests using two reference substances containing 14N: sodium nitrite and paracetamol.
Advanced Methods and New Materials for Cultural Heritage Preservation [Working Title], 2019
This chapter describes how optical information and advanced image processing can be used to study... more This chapter describes how optical information and advanced image processing can be used to study archeological objects and artworks in order to determine more precisely and noninvasively the characteristics of the shape and color of artifacts. The purpose of this research is to develop a passive experimental technique for artifact investigation to help human experts make the best decisions in the process of authenticating and preserving-restoring objects. The method used is digital capture of object images followed by processing them with specialized software tools to analyze the chromatic characteristics and apparent geometric details. The proposed methodology consists of intelligently combining digital image analysis functions to build a set of chromatic-structural features useful for recognizing possible differences and estimating color and shape evolution. The investigation of the artifacts through digital image processing is a noninvasive and precise complementary method of analysis that can reduce the costs, and it must be extensively integrated into decision support systems for experts and curators in the field of artistic heritage preservation.
IOP Conference Series: Materials Science and Engineering, 2017
Mobility is a basic necessity of contemporary society and it is a key factor in global economic d... more Mobility is a basic necessity of contemporary society and it is a key factor in global economic development. The basic requirements for the transport of people and goods are: safety and duration of travel, but also a number of additional criteria are very important: energy saving, pollution, passenger comfort. Due to advances in hardware and software, automation has penetrated massively in transport systems both on infrastructure and on vehicles, but man is still the key element in vehicle driving. However, the classic concept of 'human-in-the-loop' in terms of 'hands on' in driving the cars is competing aside from the self-driving startups working towards so-called 'Level 4 autonomy', which is defined as "a self-driving system that does not requires human intervention in most scenarios". In this paper, a conceptual synthesis of the autonomous vehicle issue is made in connection with the artificial intelligence paradigm. It presents a classification of the tasks that take place during the driving of the vehicle and its modeling from the perspective of traditional control engineering and artificial intelligence. The issue of autonomous vehicle management is addressed on three levels: navigation, movement in traffic, respectively effective maneuver and vehicle dynamics control. Each level is then described in terms of specific tasks, such as: route selection, planning and reconfiguration, recognition of traffic signs and reaction to signaling and traffic events, as well as control of effective speed, distance and direction. The approach will lead to a better understanding of the way technology is moving when talking about autonomous cars, smart/intelligent cars or intelligent transport systems.
Newsday fuzzy systems are applied in many interdisciplinary fields, in which artificial intellige... more Newsday fuzzy systems are applied in many interdisciplinary fields, in which artificial intelligent tools are utilized to analyze different data in the corresponding fields. Under this background, the 2nd International Conference on Fuzzy Systems and Data Mining (FSDM 2016), organized by Macau University of Science and Technology, is scheduled to be held in Macau, December 11-14, 2016. This special issue contains some selected papers related to fuzzy systems, data mining and their applications, which provides some highlights on fuzzy systems and data mining during the past years in East Asia.
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Papers by Silviu Ionita