Complex ESP Systems Proposal based on Pump Syringe and Electronically
                    injector Modules for Medical Application

Hamrouni, Chafaa

doi:10.33851/jmis.2020.7.2.175

Cited by 3 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this is difficult for modeling, and sometimes it is impossible to measure the complexity of processes. In a radically different way, a controller does not focus on how to describe the process but on how to control it, just as a human expert follows the rules and introduces some inaccuracies and/or uncertainties [8]. The main concepts of fuzzy control are essentially divided into two main parts: 1) the sets, fuzzy variables, and associated operators, and 2) the decision-making from a base "If-Then" rule.…”

Section: Elements Of the Fuzzy Logic Rulementioning

confidence: 99%

A New Fuzzy Controlled Antenna Network Proposal for Small Satellite Applications

Hamrouni¹

2022

Computers, Materials &Amp; Continua

Self Cite

View full text Add to dashboard Cite

This research contributes to small satellite system development based on electromagnetic modeling and an integrated meta-materials antenna networks design for multimedia transmission contents. It includes an adaptive nonsingular mode tracking control design for small satellites systems using fuzzy waveless antenna networks. By analyzing and modeling based on electromagnetic methods, propagation properties of guided waves from metallic structures with simple or complex forms charge partially or entirely by anisotropic materials such as metamaterials. We propose a system control rule to omit uncertainties, including the inevitable approximation errors resulting from the finite number of fuzzy signal power value basis functions in antenna networks. Moreover, both the stability and the tracking performance of the closed-loop robotic system are experimentally validated. The research lies within the scope of the improvement of speed, effectiveness, and precision of numerical methods applied to electro-magnetic modeling with complex structures, essentially rectangular metallic waveguides filled with isotropic or anisotropic metamaterials. Three axes of our research are presented: waveguides, filters, and antennas. The proposed controller does not require prior knowledge about the dynamics of the fuzzy system controller for antenna networks or the offline learning phase. In addition, this work contributes to solving the problem of non-visibility stations to ensure data transmission in wireless networks. The proposed solution maximizes inter-connection by using a fuzzy controlled antenna network, and the novelty guarantees nonlimited interconnection in wireless networks compared to traditional methods.

show abstract

Section: Elements Of the Fuzzy Logic Rulementioning

confidence: 99%

A New Fuzzy Controlled Antenna Network Proposal for Small Satellite Applications

Hamrouni¹

2022

Computers, Materials &Amp; Continua

Self Cite

View full text Add to dashboard Cite

show abstract

“…When a mobile node belongs to two different technologies [4,5] is obliged to pass through one cell to another, the mentioned phenomena emerges, and that's maintain a continuous and seamless communication. Several solutions were proposed for handover process [6,7]. However, we observe experimentally, packet loss and handover latency [8,9] are still very important and reduce the quality of service (QoS).…”

Section: Introductionmentioning

confidence: 99%

5G Smart Mobility Management Based Fuzzy Logic Controller Unit

Hamrouni¹,

Chaoui²

2022

Computers, Materials &Amp; Continua

Self Cite

View full text Add to dashboard Cite

In the paper, we propose a fuzzy logic controller system to be implemented for smart mobility management in the 5G wireless communication network. Mobility management is considered as a main issue for all-IP mobile networks future generation. As a network-based mobility management protocol, Internet Engineering Task Force developed the Proxy Mobile IPv6 (PMIPv6) in order to support the mobility of IP devices, and many other results were presented to reduce latency handover and the amount of PMIPv6 signaling, but it is not enough for the application needs in realtime. The present paper describes an approach based on the IEEE 802.21 Media Independent Handover (MIH) standard and PMIPv6, so we present a new vertical handover algorithm for anticipating handover process efficiently. Our object is to propose a smart mobility management that contribute in 5G wireless communication system network operating functions. Two proposed dynamic thresholds were successfully made to guaranty process triggering, and a new primitive MIH is proposed for signaling a needed handover to be done. Simulation results demonstrate a significant reduction of the handover delay, packet loss, handover blocking probability and signaling overhead. Simulation results and tests are accomplished.

show abstract

“…The design of many antennas is known in the literature. [14] describes the design of a square patch antenna. A stacked square patch slotted broadband microstrip antenna is described in another paper [15].…”

Section: Introductionmentioning

confidence: 99%

Various Antenna Structures Performance Analysis based Fuzzy Logic Functions

Hamrouni¹,

Alutaybi²,

Chaoui³

2022

IJACSA

Self Cite

View full text Add to dashboard Cite

The antenna is a critical component of the communication system. The antenna is used in wireless communication for signal transmission and reception over long distances. There are numerous sorts of antennas, such as wire antennas, traveling wave antennas, reflector antennas, microstrip antennas, and so on. The application of antennas is determined by the antenna's attributes as well as the frequency range of operation. As a result, it is vital to understand the behavior of antennas over a wide range of operations and select the optimum antenna for the application. The performance parameters of the antenna determines its efficiency. VSWR, Return Loss, Directivity, Bandwidth, and more parameters are available. As a result, one of the primary areas of focus is antenna analysis. In this study, we simulate various antenna types and derive performance parameters such as return loss, directivity, and so on. MATLAB will be used to simulate the antenna at various frequencies. When all of the parameters are taken into account, the analysis becomes quite tough. In this case of ambiguity, we use fuzzy logic to calculate the antenna's performance index. A variety of antenna parameters will be fed into the fuzzy inference system, which will make a judgment based on a set of rules. The crisp numbers are turned into fuzzy values using the fuzzification process, then evaluated and defuzzied to obtain the antenna's performance index. The fuzzy inference system will be developed in MATLAB, and the overall system will be modeled in Simulink.

show abstract

Complex ESP Systems Proposal based on Pump Syringe and Electronically injector Modules for Medical Application

Cited by 3 publications

References 16 publications

A New Fuzzy Controlled Antenna Network Proposal for Small Satellite Applications

A New Fuzzy Controlled Antenna Network Proposal for Small Satellite Applications

5G Smart Mobility Management Based Fuzzy Logic Controller Unit

Various Antenna Structures Performance Analysis based Fuzzy Logic Functions

Contact Info

Product

Resources

About