Papers by Nikos Mastorakis
In this paper, we aim at a dynamical, structurally-phenomenological approach, from a multidiscipl... more In this paper, we aim at a dynamical, structurally-phenomenological approach, from a multidisciplinary point of view, starting from today's information technology and from the last theories of the second half of the 20 th century, which are connected to non-linear dynamics, fractal geometry, topology and complex systems theory. Shannon and Weaver's information theory grasps only the quantitative aspect, through associating information to entropy and the second law of thermodynamics, so that only artificial languages and information technology finally implement the qualitative aspect of information. The proof that information is involved in all the processes, at all scales and levels of reality, is the very difficulty of defining information. The network topology, just as the knot theory in the information technology, highlight an apparently surprising aspect, that is, topology is the suitable mathematical instrument for formalizing information. Topology of information might represent the modality of grasping information in its qualitative form, as the way to unify reality, and reality with cognition, through information.
In this paper, several mathematical models in neuroscience are provided. Firstly, the semantic sy... more In this paper, several mathematical models in neuroscience are provided. Firstly, the semantic system of the brain and the semantic logic, i.e., the logic that is specific to the human brain are discussed. Then, a mathematical-physical model to explain the mirror neurons paradigm is developed. Precisely, considering that any biological structure can be assimilated to a fractal (both structurally and functionally), a mathematical-physical model is proposed in order to explain the mirror neurons paradigm. Extending de Broglie's idea concerning the wave-corpuscle duality by means of the information (in its implicit and explicit) form, we are lead to assume the existence of a fractal medium, which can store and transmit information in the form of a natural field (called a fractal field). In consequence, the mirror neurons transmitting mechanism can be explained by this spontaneous symmetry breaking, in which the specific neuronal network and specific logics appear.
— Nowadays veterinarians pay a numerous effort to save bovines' products because of its rapid gro... more — Nowadays veterinarians pay a numerous effort to save bovines' products because of its rapid growth. The critical point in this paper is to classify and distinguish between large different groups of bovines with high degree of accuracy. This paper presents two bovine's classification models depending on J48 decision tree and Naive Bayes classifier. These two models consist of three phases; pre-processing phase, texture feature extraction phase and classification phase. Pre-processing phase consists of average filter and median filter to remove noise from muzzle image. The second phase used gray level co-occurrence matrix (GLCM) algorithm to extract image features. Then the last phase used decision tree in the first model and used Naive Bayes the second model to classification muzzles and comparing the accuracy result. The used data base consists of fifty-two different bovine. The experimental result proves the advancement of decision tree classifier than Naive Bayes classifier. By comparing the result of decision tree with Naive Bayes the accuracy rate in case of using fifty-two different groups is 89.64% comparing with 75.38% in case of using Naive Bayes classification system.
— Animals especially bovines and its products growth very quickly every day, so Ministry of Anima... more — Animals especially bovines and its products growth very quickly every day, so Ministry of Animal Resources pay great attention and efforts for saving bovines' products. The main goal of this work is to identify and clearly distinguish between huge different bovines and achieving high accuracy rate. This work proposed two different techniques in the last phase which is the classification phase based on Naive Bayes and decision tree. The complete proposed two models divided into four phases namely; data base acquisition phase, muzzle image pre-processing phase, muzzle texture feature extraction and bovine classification phase. Data base acquisition phase is defined as the process starting with pressing down the camera button until saving the muzzle images in the hard memory. The muzzle images database consists of fifty-two different bovine. Pre-processing phase consists of linear filter and Non-linear filter for noise removing from muzzle images. The third phase is the important phase which based on Discrete Wavelet Transform (DWT) algorithm for muzzle texture feature extraction. The forth phase consists of Naïve Bayes in the first proposed model and used decision tree in the second proposed model. The experimental result accuracy rate denote that in case of using fifty-two different bovines group is 75.09% in case of decision tree model and 72.45% in Naive Bayes model. This accuracy rate is excellent with comparing with authors previous work where the accuracy rate in the fifty-two different group and based on box-counting for feature extraction and Artificial Neural Network (ANN) is 14%.
High precision of task performance is required in almost all activities of humans and non-human s... more High precision of task performance is required in almost all activities of humans and non-human subjects – the hallmark of the functioning of the error monitoring and processing system (EMPS). In many cases, however, task precision is affected by the level of error commission, which decreases the quality of work or task performance. But error commission is an integral component of the EMPS. Previously we have estimated the physiological range of error commission to be around 5%. This suggests that above the physiological range, error commission is a n egative coupling factor in the EMPS. However, even at the physiological range of error commission, the rate of error detection and concomitant correction, which are required to improve task precision, differs in many subjects. In conditions of correct performance of task, precision is promoted, and thus, represents a positive coupling factor in the EMPS. Therefore, error commission, detection and correction represent integral components required for high precision task performance. Been the main energy substrate for neural activity, glucose modulates several domains of EMPS. Interestingly, the main components of EMPS functioning – error commission, correction and detection are associated with changes in glucoallostasis. Here we propose the high precision functioning of EMPS involves coupling at different levels of error commission, correction and detection. Further we suggest that this multilevel coupling modulates neural plasticity through changes in glucoallostasis. This work provides a conceptual background to the modeling of high precision task performance in human and non-human subjects.
In this paper a multiple sources video abstraction scheme is proposed for summarizing video conte... more In this paper a multiple sources video abstraction scheme is proposed for summarizing video content in the Internet of Things IoT). The proposed scheme borrows concepts from the IoT in case of events' recording from different cameras around a specific geo-location. In particular the proposed abstraction method assumes that frame trajectories are created and an interpolation scheme is designed to optimally approximate these trajectories. The selected points on every trajectory are extracted as key-frames. Key-frames from all different sources are put in chronological order to produce the video abstract. In case a user demands more accuracy, he/she can increase it by refining the number of key-frames. In this case an optimal accuracy increasing approach is proposed and the video abstract is tuned according to the needs of the user. Experimental results on real world videos exhibit the promising performance of the proposed scheme.
E-government has a lack of investment over financial and organizational perspectives regards to t... more E-government has a lack of investment over financial and organizational perspectives regards to the mechanism provided for supporting government services. There are many key challenges such as integrated database centers, interoperability, and quality of service. The proposed framework has great enhancement impact over investment including financial and organizational issues. Furthermore, the proposed framework setups different impacts to handle quality of service, service level agreement and pas as use based on cloud infrastructure. It is fully private for the government itself. In addition, it provides services to the general public through the instances. This results in a speedy and easy access to the services provided by the government at the lowest possible error ratio. Moreover, it allows various government units to increase efficiency, reduce costs, and provide potentially better customer service.
Video surveillance will greatly increase in the era of the Internet of Things, raising severe con... more Video surveillance will greatly increase in the era of the Internet of Things, raising severe concerns about people's privacy. Since video surveillance systems are invasive, it is very challenging to balance between privacy and system's functionalities. Traditional algorithms for protection of visual privacy usually encrypt and decrypt the whole video, without considering video objects. However this approach has several drawbacks including lack of scalability of access and security. In this paper a digitized human encryption scheme is proposed which overcomes the aforementioned shortcomings. In particular initially a fast face detection algorithm is adopted which provides initial information to the proposed body detection module. Afterwards a chaotic encryption scheme is designed to provide security and fast scrambling of the extracted digitized humans. Experimental results on real world videos exhibit the promising performance of the proposed scheme.
The using of clinical decision support systems (CDSSs) may improve chronic disease
management, wh... more The using of clinical decision support systems (CDSSs) may improve chronic disease
management, which requires recurrent visits to multiple health professionals, ongoing disease control, treatment
monitoring, and patient behavior modification. The objective of this survey is to determine if these CDSSs improve
the processes of chronic care including diagnosis, treatment, and monitoring of diseases.
Methods: The survey covers articles extracted from relevant databases. It uses search terms related to information
technology and viral hepatitis which are published between 2000 and 2016.
Results: Overall, 80% of studies asserted the benefits provided by information technology (IT); 75% of studies
asserted the benefits concerned with medical domain;25% of studies do not clearly define the added benefits due
IT. The CDSS current state requires many improvements to support the management of liver diseases such as
HCV, liver fibrosis, and cirrhosis.
In this paper, we use axiomatic systems from different physical and mathematical models which lie... more In this paper, we use axiomatic systems from different physical and mathematical models which lie at the
foundation of epistemology, in order to extrapolate them over some mechanisms and psychological concepts involved in
the human perception and cognition. To this aim, we use a paradigmatic interdisciplinary methodology, from a
structurally-phenomenological and naturalistic perspective. We also analyze the paradoxes of quantum physics and the
wave-corpuscle duality, in order to find the same need for formulating axioms in the various psychological theories, as
well as in the new discoveries made in Neuroscience. Our approach highlights an axiomatic unity as a gnosiological
principle, while highlighting it both in the epistemological evolution in time, but also throughout the reality levels from
various paradigms. We also point out the importance of the axiomatic paradigms which unify reality with the subject, the
object and the observer, the mind with the brain, in a naturalistic approach which can generate new knowledge
hypotheses.
Continuous transport of waste on relative large distances, in different planes is a key problem o... more Continuous transport of waste on relative large distances, in different planes is a key problem of a
sustainable waste management. A multi-section belt conveyor of cascade type is the best solution that enables a
combined route, consisting of horizontal zones, sloped zones, connected by curve areas. Belt conveyors drive is
usually performed through assemblies of type converter – three phase induction motors, designed to work under
long term. The motor power depends on the transport productivity, as well as on its design, the lifting height,
the distance to be transported the material and the type of material transported. Performance of such a
continuous transport system can be pointed based on a numerical simulation model built by a software
performance. MST numerical simulation model that we have conceived is based on MATLAB with its
extensions SIMULINK and SimPowerSystems.
Fused filament fabrication (FFF) is a process that produces 3D printed models by addition of soli... more Fused filament fabrication (FFF) is a process that produces 3D printed models by addition of solid material. All printed prototypes should have best accuracy to satisfy all requirements. In the current research was investigated if the parameter of fused filament temperature has an influence on accuracy of 3D printing. A low cost 3D printer called Ultimaker was used to print the items. Polylactic acid (PLA) was used as main polymeric material for printing. All dimensions (six points) of the models were measured with a micrometer (range 0-25mm).
Operation of coal-fired power plants determines a big amount of slag and ash, and also releases
h... more Operation of coal-fired power plants determines a big amount of slag and ash, and also releases
harmful flue gases. Consequently, a serious concern is related to the health of humans and other life forms that
is impacted of xenobiotics caused by burning coal in electrical generating stations. The concept of xenobiotics
has been extended to the environment over the last several decades, and many studies are demonstrating that
xenobiotics relate to environmental impact. This is especially severe in the context of pollutants, since many of
which are substances foreign to a biological system that did not exist in nature before their synthesis by
humans. Consequently, the toxins specific to slag and ash deposits through the environmental xenobiotics
induce malignant tumors of high incidence rate. Within the framework of sustainable development the
environmental and technical issues should be linked. In line with this idea it is important to build mathematical
models that reflect how the transfer into the subsoil of a toxic dose from a slag and ash deposit source on
ground is realized. Identification of such a mathematical model to process the data of mass transfer type could
allow relevant conclusions on the interaction polluter - geographic area. This paper presents a case study based
on the scenario of the transfer of a toxic dose in the subsoil from the slag and ash deposit on the ground of
Isalnita thermoelectric power plant located in Oltenia region, Romania. Taking into consideration the spatial
distribution of soil structure in depth it is analyzed the toxic mass transfer into the subsoil based on two
scenarios, namely the linear and nonlinear distribution of mass transfer. Based on linear and, respectively
nonlinear mathematical
This paper describes the importance of introducing of IT Service Management (ITSM) systems, frame... more This paper describes the importance of introducing of IT Service Management (ITSM) systems, frameworks and standards in a real environment of one company. For the environment in this research it is used a network of one Faculty of Electrical Engineering in Bosnia and Herzegovina. During this research the authors have fully implemented five ITSM processes through the realization of the Service Desk Management System which connects all other systems and network elements on Faculty. Fully implemented are these processes: Service Catalogue Management, Incident Management, Problem Management, Change Management and Service Asset & Configuration Management. This paper has professional and scientific contribution. Professional contribution is the real implementation of Service Desk Management System in a real environment of one Faculty and its releasing into production. Scientific contribution is the raising of awareness of all individuals and organizations about the importance of introducing of ITSM systems, frameworks and standards in one real company or organization because of the positive results which will be described through this paper
Electronic circuits and systems used in mission and safety-critical applications usually employ
r... more Electronic circuits and systems used in mission and safety-critical applications usually employ
redundancy in the design to overcome arbitrary fault(s) or failure(s) and guarantee the correct operation. In this
context, the distributed minority and majority voting based redundancy (DMMR) scheme forms an efficient
alternative to the conventional N-modular redundancy (NMR) scheme for implementing mission and safetycritical
circuits and systems by significantly minimizing their weight and design cost and also their design metrics
whilst providing a similar degree of fault tolerance. This article presents the first FPGAs based implementation
of example DMMR circuits and compares it with counterpart NMR circuits on the basis of area occupancy and
critical path delay viz. area-delay product (ADP). The example DMMR circuits and counterpart NMR circuits
are able to accommodate the faulty or failure states of 2, 3 and 4 function modules. For physical synthesis, two
commercial Xilinx FPGAs viz. Spartan 3E and Virtex 5 corresponding to 90nm and 65nm CMOS processes, and
two radiation-tolerant and military grade Xilinx FPGAs viz. QPro Virtex 2 and QPro Virtex E corresponding to
150nm and 180nm CMOS processes were considered for the NMR and DMMR circuit realizations which employ
the 4×4 array multiplier as a representative function module. To achieve a fault tolerance of 2 function modules,
both the DMMR and the NMR schemes provide near similar mean ADPs across all the four FPGAs. But while
achieving a fault tolerance of 3 function modules the DMMR features reduced ADP by 44.5% on average
compared to the NMR, and in achieving a fault tolerance of 4 function modules the DMMR reports reduced ADP
by 56.5% on average compared to the NMR with respect to all the four FPGAs considered.
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Papers by Nikos Mastorakis
management, which requires recurrent visits to multiple health professionals, ongoing disease control, treatment
monitoring, and patient behavior modification. The objective of this survey is to determine if these CDSSs improve
the processes of chronic care including diagnosis, treatment, and monitoring of diseases.
Methods: The survey covers articles extracted from relevant databases. It uses search terms related to information
technology and viral hepatitis which are published between 2000 and 2016.
Results: Overall, 80% of studies asserted the benefits provided by information technology (IT); 75% of studies
asserted the benefits concerned with medical domain;25% of studies do not clearly define the added benefits due
IT. The CDSS current state requires many improvements to support the management of liver diseases such as
HCV, liver fibrosis, and cirrhosis.
foundation of epistemology, in order to extrapolate them over some mechanisms and psychological concepts involved in
the human perception and cognition. To this aim, we use a paradigmatic interdisciplinary methodology, from a
structurally-phenomenological and naturalistic perspective. We also analyze the paradoxes of quantum physics and the
wave-corpuscle duality, in order to find the same need for formulating axioms in the various psychological theories, as
well as in the new discoveries made in Neuroscience. Our approach highlights an axiomatic unity as a gnosiological
principle, while highlighting it both in the epistemological evolution in time, but also throughout the reality levels from
various paradigms. We also point out the importance of the axiomatic paradigms which unify reality with the subject, the
object and the observer, the mind with the brain, in a naturalistic approach which can generate new knowledge
hypotheses.
sustainable waste management. A multi-section belt conveyor of cascade type is the best solution that enables a
combined route, consisting of horizontal zones, sloped zones, connected by curve areas. Belt conveyors drive is
usually performed through assemblies of type converter – three phase induction motors, designed to work under
long term. The motor power depends on the transport productivity, as well as on its design, the lifting height,
the distance to be transported the material and the type of material transported. Performance of such a
continuous transport system can be pointed based on a numerical simulation model built by a software
performance. MST numerical simulation model that we have conceived is based on MATLAB with its
extensions SIMULINK and SimPowerSystems.
harmful flue gases. Consequently, a serious concern is related to the health of humans and other life forms that
is impacted of xenobiotics caused by burning coal in electrical generating stations. The concept of xenobiotics
has been extended to the environment over the last several decades, and many studies are demonstrating that
xenobiotics relate to environmental impact. This is especially severe in the context of pollutants, since many of
which are substances foreign to a biological system that did not exist in nature before their synthesis by
humans. Consequently, the toxins specific to slag and ash deposits through the environmental xenobiotics
induce malignant tumors of high incidence rate. Within the framework of sustainable development the
environmental and technical issues should be linked. In line with this idea it is important to build mathematical
models that reflect how the transfer into the subsoil of a toxic dose from a slag and ash deposit source on
ground is realized. Identification of such a mathematical model to process the data of mass transfer type could
allow relevant conclusions on the interaction polluter - geographic area. This paper presents a case study based
on the scenario of the transfer of a toxic dose in the subsoil from the slag and ash deposit on the ground of
Isalnita thermoelectric power plant located in Oltenia region, Romania. Taking into consideration the spatial
distribution of soil structure in depth it is analyzed the toxic mass transfer into the subsoil based on two
scenarios, namely the linear and nonlinear distribution of mass transfer. Based on linear and, respectively
nonlinear mathematical
redundancy in the design to overcome arbitrary fault(s) or failure(s) and guarantee the correct operation. In this
context, the distributed minority and majority voting based redundancy (DMMR) scheme forms an efficient
alternative to the conventional N-modular redundancy (NMR) scheme for implementing mission and safetycritical
circuits and systems by significantly minimizing their weight and design cost and also their design metrics
whilst providing a similar degree of fault tolerance. This article presents the first FPGAs based implementation
of example DMMR circuits and compares it with counterpart NMR circuits on the basis of area occupancy and
critical path delay viz. area-delay product (ADP). The example DMMR circuits and counterpart NMR circuits
are able to accommodate the faulty or failure states of 2, 3 and 4 function modules. For physical synthesis, two
commercial Xilinx FPGAs viz. Spartan 3E and Virtex 5 corresponding to 90nm and 65nm CMOS processes, and
two radiation-tolerant and military grade Xilinx FPGAs viz. QPro Virtex 2 and QPro Virtex E corresponding to
150nm and 180nm CMOS processes were considered for the NMR and DMMR circuit realizations which employ
the 4×4 array multiplier as a representative function module. To achieve a fault tolerance of 2 function modules,
both the DMMR and the NMR schemes provide near similar mean ADPs across all the four FPGAs. But while
achieving a fault tolerance of 3 function modules the DMMR features reduced ADP by 44.5% on average
compared to the NMR, and in achieving a fault tolerance of 4 function modules the DMMR reports reduced ADP
by 56.5% on average compared to the NMR with respect to all the four FPGAs considered.
management, which requires recurrent visits to multiple health professionals, ongoing disease control, treatment
monitoring, and patient behavior modification. The objective of this survey is to determine if these CDSSs improve
the processes of chronic care including diagnosis, treatment, and monitoring of diseases.
Methods: The survey covers articles extracted from relevant databases. It uses search terms related to information
technology and viral hepatitis which are published between 2000 and 2016.
Results: Overall, 80% of studies asserted the benefits provided by information technology (IT); 75% of studies
asserted the benefits concerned with medical domain;25% of studies do not clearly define the added benefits due
IT. The CDSS current state requires many improvements to support the management of liver diseases such as
HCV, liver fibrosis, and cirrhosis.
foundation of epistemology, in order to extrapolate them over some mechanisms and psychological concepts involved in
the human perception and cognition. To this aim, we use a paradigmatic interdisciplinary methodology, from a
structurally-phenomenological and naturalistic perspective. We also analyze the paradoxes of quantum physics and the
wave-corpuscle duality, in order to find the same need for formulating axioms in the various psychological theories, as
well as in the new discoveries made in Neuroscience. Our approach highlights an axiomatic unity as a gnosiological
principle, while highlighting it both in the epistemological evolution in time, but also throughout the reality levels from
various paradigms. We also point out the importance of the axiomatic paradigms which unify reality with the subject, the
object and the observer, the mind with the brain, in a naturalistic approach which can generate new knowledge
hypotheses.
sustainable waste management. A multi-section belt conveyor of cascade type is the best solution that enables a
combined route, consisting of horizontal zones, sloped zones, connected by curve areas. Belt conveyors drive is
usually performed through assemblies of type converter – three phase induction motors, designed to work under
long term. The motor power depends on the transport productivity, as well as on its design, the lifting height,
the distance to be transported the material and the type of material transported. Performance of such a
continuous transport system can be pointed based on a numerical simulation model built by a software
performance. MST numerical simulation model that we have conceived is based on MATLAB with its
extensions SIMULINK and SimPowerSystems.
harmful flue gases. Consequently, a serious concern is related to the health of humans and other life forms that
is impacted of xenobiotics caused by burning coal in electrical generating stations. The concept of xenobiotics
has been extended to the environment over the last several decades, and many studies are demonstrating that
xenobiotics relate to environmental impact. This is especially severe in the context of pollutants, since many of
which are substances foreign to a biological system that did not exist in nature before their synthesis by
humans. Consequently, the toxins specific to slag and ash deposits through the environmental xenobiotics
induce malignant tumors of high incidence rate. Within the framework of sustainable development the
environmental and technical issues should be linked. In line with this idea it is important to build mathematical
models that reflect how the transfer into the subsoil of a toxic dose from a slag and ash deposit source on
ground is realized. Identification of such a mathematical model to process the data of mass transfer type could
allow relevant conclusions on the interaction polluter - geographic area. This paper presents a case study based
on the scenario of the transfer of a toxic dose in the subsoil from the slag and ash deposit on the ground of
Isalnita thermoelectric power plant located in Oltenia region, Romania. Taking into consideration the spatial
distribution of soil structure in depth it is analyzed the toxic mass transfer into the subsoil based on two
scenarios, namely the linear and nonlinear distribution of mass transfer. Based on linear and, respectively
nonlinear mathematical
redundancy in the design to overcome arbitrary fault(s) or failure(s) and guarantee the correct operation. In this
context, the distributed minority and majority voting based redundancy (DMMR) scheme forms an efficient
alternative to the conventional N-modular redundancy (NMR) scheme for implementing mission and safetycritical
circuits and systems by significantly minimizing their weight and design cost and also their design metrics
whilst providing a similar degree of fault tolerance. This article presents the first FPGAs based implementation
of example DMMR circuits and compares it with counterpart NMR circuits on the basis of area occupancy and
critical path delay viz. area-delay product (ADP). The example DMMR circuits and counterpart NMR circuits
are able to accommodate the faulty or failure states of 2, 3 and 4 function modules. For physical synthesis, two
commercial Xilinx FPGAs viz. Spartan 3E and Virtex 5 corresponding to 90nm and 65nm CMOS processes, and
two radiation-tolerant and military grade Xilinx FPGAs viz. QPro Virtex 2 and QPro Virtex E corresponding to
150nm and 180nm CMOS processes were considered for the NMR and DMMR circuit realizations which employ
the 4×4 array multiplier as a representative function module. To achieve a fault tolerance of 2 function modules,
both the DMMR and the NMR schemes provide near similar mean ADPs across all the four FPGAs. But while
achieving a fault tolerance of 3 function modules the DMMR features reduced ADP by 44.5% on average
compared to the NMR, and in achieving a fault tolerance of 4 function modules the DMMR reports reduced ADP
by 56.5% on average compared to the NMR with respect to all the four FPGAs considered.