A fuzzy sets based computational fuzzy inference system has been used to estimate the failure strength of 3D‐printed polylactide components. The research has confirmed and validated the accuracy and reliability of this approach with a satisfying level of reliability. As far as failure strength is concerned, the following two types of input parameters have been considered: (i) manufacturing variables (i.e., manufacturing angle, infill density, and size of manufacturing voids) and (ii) geometrical features (i.e., notch root radius). The individual significance of the various parameters under investigation has been identified together with the influence on the estimation accuracy of the number of specimens being used. The fuzzy inference system has shown an accuracy improvement compared to the failure strength estimation, obtained as a result of an existing analytical method. The fuzzy inference system approach has also been shown to have a good potential as a decision‐making tool in design problems.

Metal-selenides are one of the next generation anode materials for sodium ion batteries (SIBs), but suffer from sluggish charge/ion transport, huge volume expansion and aggregation of particles. Herein, ZnSe/C composites...

5G is a new generation of mobile networking that aims to achieve unparalleled speed and performance. To accomplish this, three technologies, Device-to-Device communication (D2D), multi-access edge computing (MEC) and network function virtualization (NFV) with ClickOS, have been a significant part of 5G, and this paper mainly discusses them. D2D enables direct communication between devices without the relay of base station. In 5G, a two-tier cellular network composed of traditional cellular network system and D2D is an efficient method for realizing high-speed communication. MEC unloads work from end devices and clouds platforms to widespread nodes, and connects the nodes together with outside devices and third-party providers, in order to diminish the overloading effect on any device caused by enormous applications and improve users' quality of experience (QoE). There is also a NFV method in order to fulfill the 5G requirements. In this part, an optimized virtual machine for middle-boxes named ClickOS is introduced, and it is evaluated in several aspects. Some middle boxes are being implemented in the ClickOS and proved to have outstanding performances.

A computational data-driven fuzzy set-based methodology is proposed and applied to determine, with high accuracy, the manufacturing parameters of 3Dprinted polylactide (PLA) components, ensuring user-specified failure tensile strength and design requirements (here: the notch root radius). Hence, the novel decision-making tool to estimate 3D-printing process parameters is offered, ensuring desired design characteristics and the mechanical performance. The estimated manufacturing angle and infill density have been adjusted to provide meaningful values for real applications, still resulting in accurate predictions through the validation process. Following the success of these design and strength driven estimations, an extension of the proposed methodology to the cost-saving problem has then been suggested by introducing printing period and material cost as extra inputs to the decision-making process.

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