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Papers in ISI Journals

1. Fuzzy Logic for Intelligent Control System Using Soft Computing Applications, SENSORS by MDPI, 2021, Catalin Dumitrescu, Petrica Ciotirnae, Constantin Vizitiu,

   Abstract: When considering the concept of distributed intelligent control, three types of components can be defined: (i) fuzzy sensors which provide a representation of measurements as fuzzy subsets, (ii) fuzzy actuators which can operate in the real world based on the fuzzy subsets they receive, and (iii) the fuzzy components of the inference. As a result, these elements generate new fuzzy subsets from the fuzzy elements that were previously used. The purpose of this article is to define the elements of an interoperable technology Fuzzy Applied Cell Control-soft computing language for the development of fuzzy components with distributed intelligence implemented on the DSP target. The cells in the network are configured using the operations of symbolic fusion, symbolic inference and fuzzy– real symbolic transformation, which are based on the concepts of fuzzy meaning and fuzzy description. The two applications presented in the article, Agent-based modeling and fuzzy logic for simulating pedestrian crowds in panic decision-making situations and Fuzzy controller for mobile robot, are both timely. The increasing occurrence of panic moments during mass events prompted the investigation of the impact of panic on crowd dynamics and the simulation of pedestrian flows in panic situations. Based on the research presented in the article, we propose a Fuzzy controller-based system for determining pedestrian flows and calculating the shortest evacuation distance in panic situations. Fuzzy logic, one of the representation techniques in artificial intelligence, is a well-known method in soft computing that allows the treatment of strong constraints caused by the inaccuracy of the data obtained from the robot’s sensors. Based on this motivation, the second application proposed in the article creates an intelligent control technique based on Fuzzy Logic Control (FLC), a feature of intelligent control systems that can be used as an alternative to traditional control techniques for mobile robots. This method allows you to simulate the experience of a human expert. The benefits of using a network of fuzzy components are not limited to those provided distributed systems. Fuzzy cells are simple to configure while also providing high-level functions such as mergers and decision-making processes.

   Keywords: fuzzy logic control; path planning; fuzzy interference system

2. Efficient Response Solution for Integrated Command and Control center using Automatic Interactive Voice Response System, Review in progress, Journal of Military Technology, 2021, Daniel GÎRBEA, Petrică CIOTÎRNAE,

   Abstract – Current communication networks are constantly expanding, the services offered are diversifying and the number of special users is increasing. These facts lead to an increasing number of special requests from military user applications and implicitly to a long waiting time in the calling queue. The purpose of this paper is to design a Automatic Call-Center integrated with an Interactive Voice Response (IVR), which improves call routing and increases special users satisfaction through various specific modern capabilities, but also have call monitoring and error reporting options from a management center. The call-center configuration solution has been implemented in accordance with the needs of command and control centers that is constantly developing and takes into account special user requests.

   Keywords: Call-Center, IVR, Features, Special Military User Requests, Command and control center

3. Crowdsensing Influences and Error Sources in Urban Outdoor Wi-Fi Fingerprinting Positioning, Sensors - MDPI, 2020, Cristian-Liviu Leca, Ioan Nicolaescu, Petrica Ciotirnae

   Abstract: Wi-Fi fingerprinting positioning systems have been deployed for a long time in location-based services for indoor environments. Combining mobile crowdsensing and Wi-Fi fingerprinting systems could reduce the high cost of collecting the necessary data, enabling the deployment of the resulting system for outdoor positioning in areas with dense Wi-Fi coverage. In this paper, we present the results attained in the design and evaluation of an urban fingerprinting positioning system based on crowdsensed Wi-Fi measurements. We first assess the quality of the collected measurements, highlighting the influence of received signal strength on data collection. We then evaluate the proposed system by comparing the influence of the crowdsensed fingerprints on the overall positioning accuracy for different scenarios. This evaluation helps gain valuable insight into the design and deployment of urban Wi-Fi positioning systems while also allowing the proposed system to match GPS-like accuracy in similar conditions.

   Keywords: crowdsensing; databases; smartphones; urban positioning; Wi-Fi fingerprinting

4. Design and Implementation of a Collaborative Communication Network for Video Conference Services, Journal of Military Technology, 2020, Mihaita Radoi, Petrica Ciotirnae,

   Abstract: Under the current global conditions, strong emphasis is put on saving resources and reducing costs, migrating to collaborative unified communications solutions and developing open-source Web applications. The secure video-conferencing system will mainly use VoIP and WebRTC technologies to make multimedia calls, allowing end-users mobile and remote access (MRA) and therefore to facilitate communication between different networks, as well as the accessibility and the interoperability with any type of technology and device. This article will analyze the scalable implementation of the real-time communications network, providing redundancy and load balancing, therefore ensuring the high availability of the entire collaborative communications system. The call control and the dial plan are done through the Unified Call Manager software and WebRTC videoconferencing external access functionality is provided by configuring Traversal Using Relays around NAT (TURN) service across the Expressway Series server pair (Core & Edge). The ability to manage and monitor virtual meetings remains the responsibility of the open-source management tools.

   Index Terms: WebRTC, VoIP, UC&C, MRA, XMPP, TURN, CMS, Virtual Meeting, API REST, DMZ, LDAP.

5. QoS Prioritization Behavior in an Broadband Hybrid Network, Journal of Military Technology, 2019, Vasile-Dorinel NICOLAE and Petrică CIOTÎRNAE,

   Abstract: A broadband network must have the ability to transport a large amount of information in an efficient way, regardless of the type of service (voice, data, and video). A very good solution for safe and lossless transmission of data from IP access networks was the use of ATM at the core level, packing IP into ATM cells. Nowadays, most ISPs use IP over MPLS, because it allows, through the use of traffic engineering, interconnection with other sections using different switching technologies, and easy application of QoS policies and prioritization.

   Index Terms: MPLS traffic engineering; ATM; QoS; different services.

6. Integrated Management of Transport and Commutation Resources over the Network Layer, Journal of Military Technology, 2019, Marius-Ioan CANDREA-BOZGA and Petrică CIOTÎRNAE

   Abstract: In the information and automation era, the activities of today’s society are based on communications media with fast and secure transmission of information. Because of the information dependency, today’s networking solutions must transport more data traffic and deliver it in a fast and efficient way. It is useless to assign an appropriate epithet to the degree of importance that efficient and accurate design and the use of a management mechanism appropriate to the necessity, have in the context of the current society. The usage of programming via Python for increasing management capabilities is required in order to do high performance management of a network. One of the most important aspects of managing a large scale network that uses various platforms bought from different vendors is how to manage all these systems using a unique management platform. The current paper is concerned with Python capabilities put to good use, to develop an Integrated Management platform that performs the management of the devices that form or are part of the telecommunications network. The topologies and the script programming were done in GNS3 using Ubuntu Docker Containers with Python installed, to remotely configure CISCO IOS MultyLayer Switches and Routers.

   Index Terms: Integrated management; Network management using Python; Python in networking.

7. Crowdsensing Influences and Error Sources in Urban Wi-Fi Fingerprinting Positioning, Preprints Org, 2019, Cristian-Liviu Leca, Ioan Nicolaescu, Petrica Ciotirnae

   Abstract : Wi-Fi fingerprinting positioning systems have been deployed for a long time in location-based services for indoor environments. Combining mobile crowdsensing and Wi-Fi fingerprinting systems could reduce the high cost for collecting the necessary data enabling the deployment of the resulting system for outdoor positioning in areas with dense Wi-Fi coverage. In this paper, we present the results attained in the designing and evaluation of an urban fingerprinting positioning system based on crowdsensed Wi-Fi measurements. We first asses the quality of the collected measurements, highlighting the influence of received signal strength on data collection. We then, evaluate the proposed system by comparing the influence of the crowdsensed fingerprints on the overall positioning accuracy for different scenarios. The evaluation helps gain valuable insight into the design and deployment of urban Wi-Fi positioning systems while also allowing the proposed system to match GPS-like accuracy in similar conditions.

   Subject Areas : crowdsensing; databases; smartphones; urban positioning; wi-fi fingerprinting

8. Experimental and Numerical Studies of the Progressive Collapse of a Reinforced Concrete-Framed Structure Using Capacity Curves, Arabian Journal for Science and Engineering, 2019, Catalin Baciu, Marin Lupoae, George Bogdan Nica & Daniel Constantin

   Abstract: In the present paper, the potential of the progressive collapse of a reinforced concrete frame of a seven-storey building was evaluated by comparing the capacity curve and the M–N diagram of the beams. The advantage of this approach is that it captures the exact resistance mechanisms occurring during the progressive collapse of the structure such as flexural action, compressive arch action and catenary action. Furthermore, the overlapping of the capacity curves and the M–N diagram were proved to be an efficient tool to optimize the design of the resistance of structures to collapse. The modelling technique based on the Applied Element Method was validated by an experimental test. Consequently, numerical studies were performed according to General Services Administration guidelines using different scenarios implying the removal of one or two adjacent columns from the ground level. Additionally, the slabs were considered in the structural analysis and flexural action was identified as the main mechanism of action against total structural failure.

9. Hybrid MPLS - Internet VPN Networks, Journal of Military Technology, 2018, Vasile Dorinel NICOLAE, Ştefan NISTOR, and Petrică CIOTÎRNAE

   Abstract: Nowadays, the data network area offers a very wide range of data switching techniques according to user needs. The current paper is concerned with a new broadband solution, namely the use of an MPLS-Internet VPN hybrid network. Even though MPLS is the basic solution in most private transport networks, with the explosive growth of the Internet, it has begun to be an alternative solution for data transmission. The purpose of this study is to balance the advantages and disadvantages of implementing this solution by bringing arguments on both sides and, finally, to draw an objective conclusion as to its applicability.

   Index Terms: Hybrid MPLS, VPN, Internet.

Articles in Indexed International Conferences

10. Model and Algorithms for Optimizing a Human Computing System Oriented to Knowledge Extraction by Use of Crowdsourcing, 13^th International Conference on Communications, Bucharest, 2020, Florin Enache, Victor Greu, Petrică Ciotîrnae, Florin Popescu

    Abstract: The paper is addressing the actual context of Data Deluge, where the need and also premises to extract more knowledge are increasing, along with the increase of our expectations about performances. Besides, improving artificial intelligence (AI), by machine learning (ML), deep learning (DL) or cognitive learning (CL) performance/potential, when adding human contributions where necessary, is an important and promising research area. Consequently, our model, algorithms (ALG1; ALG2) and soft programs provide useful new instruments for implementing and optimizing the workflow based on crowdsourcing, when using human potential in a human computing system. We aim to increase AI quality adding multiple human outputs for every AI task and leveraging learning rules to be then extended to larger sets of tasks. This way, such hybrid system could be oriented to more knowledge extraction, by the generalization of images/ captions/labels toward more complex tasks, like providing content essential or question answering. Our instruments include features of ranking workers and tasks profiles, which will support the main original process of knowledge extraction, but also the inference elements, by small amounts of learning data (regarding the workers skills and tasks efficiency) to be transferred to AI/ML/DL/CL, which then could be used for processing larger volumes of similar data. Among the results conclusions is that using progressive optimization, structuring the data/tasks in variable (progressive) sets and potential (skill/number) of workers, is both efficacious and efficient, allowing a flexible control of the system and workflow for matching a diversity of tasks complexity/ difficulty/volume and leveraging knowledge extraction.

    IEEE Keywords: Task analysis, Artificial intelligence, Feature extraction, Optimization, Computational modeling, Crowdsourcing, Data mining

11. UAV Detection Employing Sensor Data Fusion and Artificial Intelligence, International Conference on Information Systems Architecture and Technology, Poland, 2019, Catalin Dumitrescu, Marius Minea and Petrica Ciotîrnae

    Abstract: The purpose of this paper is to present a multi-sensorial detection method for discovering and obtaining characteristics of flying Unmanned Aerial Vehicles (UAVs) in restricted areas. Different solutions may be applied for this purpose: radio signals analysis, acoustic patterns analysis, video processing, IR imaging, RADAR, LIDAR etc. The new Concurrent Neural Networks (CNN) classification has been introduced as a collection of low-volume neural networks that perform parallel classification. In the present paper the identification and classification of drones is analyzed employing two CNNs, a multilayer perceptron (MLP) for acoustic pattern recognition and a self – organizing map (SOM) to recognize an object from a video stream.

    .Keywords: UAV detection Acoustic/video deep learning Wavelet decomposition

12. Experimental Research on Textile and Non-Textile Materials with Applications to Ensure Electromagnetic and Bio-Electromagnetic Compatibility, The 25^th International Scientific Conference Knowledge Based Organization , Sibiu, 2019

    Abstract: The paper presents a synthesis of the research performed on the electromagnetic properties and characterization of textile and non-textile materials with applications in shielding and protection from the electromagnetic field. The composite structures of functional textiles intended for protective clothing or general applications for electromagnetic immunity are presented and characterized. There are analyzed composite textiles with amorphous, ferrous or non-ferromagnetic metallic threads manufactured by means of woven and knitting classical technologies as well as materials using non-metallic, electrically conductive powders. The properties of the plain jersey, rib jersey, full and half cardigan fabric, Milano rib, are presented, too. Besides textiles, there are also characterized some composite and non-composite structures using metallic yarns and carbon powder. Another direction of interest relates to the use of textile materials with amorphous metal structure with the scope of achieving a more efficient protection to the electromagnetic fields used in cellular systems and Wi-Fi networks. In addition, a comparative analysis of the methods of characterization of composite structures is made.

13. Indoor Assessment of Screening Efficiency through Absorption and Reflection, The 11^th International Symposium on ADVANCED TOPICS IN ELECTRICAL ENGINEERING Bucharest, March 28-30, 2019, Bucharest, 2019, Alexandra IDITA, Leontin TUȚĂ, Georgiana ROȘU, Petrică CIOTÎRNAE and Octavian BALTAG

    Abstract: This paper proposes a method for evaluating the shielding effectiveness for a number of shields manufactured using accessible materials. There are described the mechanisms through which the shielding occurs, but also the corresponding physical phenomena. Also, there are presented the experimental setups for assessment of the shielding efficiency through absorption and reflection, respectively. Based on the measurement results, there are discussed the methods used for measuring and evaluating the shields effectiveness, as well as the efficiency of various materials and various configurations of screens.

    .Keywords: attenuation, measurement, reflection, shielding efficiency

14. Performance Evaluation of the VoIP Networks Using Tunneling Techniques, 11^th INTERNATIONAL CONFERENCE on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE ECAI 2019, June 27– June 29, 2019, Pitesti, 2019, Dumitru MURARIU, Petrica CIOTIRNAE

    Abstract: The solution of distributing data between multiple sites over public networks is a solution that most companies value more and more. This strategy is justified by its multiple advantages, particularly in terms of data availability. However, the intermediary network through which these operations are carried out is often the Internet. No one can deny that this network does not provide any mechanism of privacy, integrity, or authentication. The purpose of this paper is to analyze the key performance indicators (KPI) of a Voice over IP network that crosses a public network using VPN (Virtual Private Network) technology.

    .Keywords: VoIP, VPN, KPI

15. Composites based on aramid-carbon and shear-thickening materials, RoMat 2018, Bucharest, 2018, Victor Viorel TIGANESCU, 7th International Conference on Materials Science and Technologies
16. Human and Artificial Intelligence Driven Incentive- Operation Model and Algorithms for a Multi-Purpose Integrated Crowdsensing-Crowdsourcing Scalable System, 12th International Conference of Communications 2018, Bucharest, 2018, Victor Greu, Petrică Ciotirnae, Leontin Tuta, Florin Gabriel Popescu

    Abstract : The future sensing systems seem to need more performant crowdsensing, using highest technologies as artificial intelligence, but being also more complex by volunteer participation and progressively changing from crowdsensing to crowdsourcing. Our work main idea is to use human/artificial intelligence in order to provide highest incentives arguments and commitments for participants and users, transforming data into information and eventually in knowledge. The human/artificial intelligence support is used first to find the most desired/used tasks/targets/questions/issues, then to control the crowdsensing/crowdsourcing operation with learned artificial intelligence rules, based on two algorithms, first for implementing an optimal efficiency tasks covering strategy as reference and second for attracting participants to enlarge/improve accuracy of service by extending crowdsensing-crowdsourcing with correlation incentive/operation added features.

    .Keywords: crowdsensing, crowdsourcing, artificial intelligence, collective intelligence, Big Data, correlation incentive algorithm, optimal task covering

17. Integrating software defined networks with traditional hardware networks, 12th International Conference on Communications 2018, Bucharest, 2018, Ionuţ-Mihai RADU, Petrică CIOTÎRNAE, Florin POPESCU

    Abstract: This paper describes the behavior of software defined networking components connected through traditional hardware equipment and the compatibility between software elements combined with hardware elements. In order to study the compatibility of the two types of networks, two methods are proposed using switching hardware and router hardware. The readings made for each method present data packaging, packet processing delays, and the time it takes for the data to be transferred through the network. In the paper will be presented the differences between the virtual switches and the real hardware components of the network.

              Keywords: SDN Hardware, IP networks, Control systems, Virtual machining, Routing