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Transfer of the designs to the surface of ceramic wall tiles is performed by ink-jet digital printing technology. CMYK ink colors are used in ink-jet printing technology. The similarities between hues for various color types make it difficult to come up with different designs. In this study, the development of a wall tile matte glaze recipe with high color activity, which can be worked with CMYK+Pink ink colors. Different recipes were developed by increasing the amount of calcite, dolomite, zinc oxide and magnesite ratios, respectively. Firstly, matt glaze recipes are prepared and employed on wall tile with engobe, followed by CMYK+Pink ink digital decor application. Succeeding the sintering of tiles, L,a,b color measurements of ink decorated glaze recipes were made, and it was determined that the value of 'a' increased from 15.35 to 22.18. The hue angle and chroma values of the recipies were calculated. No significant differences were observed in the color activities of the colors other than pink, and the desired pink color intensity was achieved with one of the new wall tile matte glaze recipes. It was observed that the pink color intensity increased with the increase in the amount of CaO in the content of the matte glaze recipe. The color activity of the pink color could is not obtained in the glaze recipe where the amount of ZnO increased. [ABSTRACT FROM AUTHOR]

Capacitated lot sizing is a frequently encountered production-planning problem in manufacturing companies. However, many real life factors are usually not taken into account during the model development phase for these problems. In this study, an integrated lot-sizing and scheduling problem of a paper bag production firm is considered. A mixed integer mathematical programming model is proposed for modeling and solving the problem. Setup cost/time between product and period changes are considered in the proposed model. It is aimed to minimize the total cost of production, holding inventory, backorder, procurement and setup for product type change and product period change. It is observed that productive utilization of manufacturing resources and the generation of more effective production plans are possible by the application of the proposed model. [ABSTRACT FROM AUTHOR]

In this paper, a novel operational amplifier (op-amp) model was created by redesigning the internal structure of conventional op-amp (ua741 family) circuit element with the linear dopant drift TiO2 memristor (LDDTM) emulator model. The optimized operating conditions and states of this novel op-amp model were determined. The memristor based op-amp model was used as an amplifier element in the phase shift oscillator (PSO) circuit which is one of the RC oscillators. With the novel new phase shift oscillator, the oscillation settling time, start time, fast Fourier transform (FFT) analysis and their effects on the output parameters are investigated both experimentally and simulated. The new oscillator model novel in this study is evaluated in detail not only in the middle frequency region, but also in the high and low frequency regions. In addition, the efficiency of these circuits has been merged with the experimental circuits, and the accuracy and practicality of the novel op-amp model has been comprehensively studied theoretically and supported by simulation and experimental results. Finally, both experimental and simulation results of the oscillator circuits realized with the novel op-amp model are shown in detail in tables. [ABSTRACT FROM AUTHOR]

This paper studies a two-dimensional two-stage guillotine cutting stock problem which includes determination of how the items should be cut from stock panels in an optimal way, by developing and applying different solution approaches. An integer programming model with new features is proposed. A random key based genetic algorithm is utilized to obtain feasible solutions, and by applying a local search within the algorithm, a hybrid structure is acquired. Besides, a novel two-stage math-heuristic solution method is proposed. In the first stage of this method, a relaxation of the problem is solved; in the second, this solution is improved. The time to obtain the results of the developed two-stage math-heuristic solution approach is significantly lower than the other methods given in the article. Optimal solution values were obtained in 26 of 30 test problems taken from the literature with the proposed mathematical model, in 14 with mathematical programming based heuristic method, and in 16 with a random key based genetic algorithm. [ABSTRACT FROM AUTHOR]

This paper aims to develop a high-performance method for designing Finite Impulse Response (FIR) filters that effectively control the over-frequency response parameters. The proposed approach involves designing an optimal FIR filter based on an Infinite Impulse Response (IIR) filter, considering various parameters such as pass and stop band ripples, stop band attenuation, transition bandwidth, and linear phase response. The advantages of the IIR filter's better frequency response are utilized in this design. The parameters of Butterworth and Chebyshev filters are optimized using Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) algorithms, incorporating novel fitness functions based on different distance metrics. Visual examination of the filtered signals shows that the proposed algorithm reduces phase delay compared to traditional filters. Additionally, the performance of the designed filter is evaluated by decomposing a sinusoidal signal with four different frequencies into its sub-bands. The numerical results demonstrate that the proposed approach achieves more precise decomposition compared to commonly used traditional filters. [ABSTRACT FROM AUTHOR]

In this paper, effect of small deviations in the parameters that appear either in the definition or determination of a physical problem to the resultant calculated value. Within the study, Perturbation theory and Asymptotic Series expansions have been used as mathematical tools. In this work, perturbation theory has been handled in two alternative ways: numerical and analytical. Electromagnetic waves has been dealed extensively. Electromagnetic propagation equation has been nondimensionalised and presented via asymptotic series approach. Spatial Fourier transformation provides singular perturbation application to the equation. Validity of the solution has been investigated. This manuscript also concerns the electromagnetic feature extraction of the multilayered properties by the inverse scattering theory approach. In this work, in order to characterize the unknown or ambiguous part of the structure, random modeling of the parameters was introduced. Monte Carlo methods are used to calculate the resultant randomness effect. The description of any parameter, including thickness, with any probability density function (pdf) to represent nonnegative/bounded/unbounded cases and any combination of all these parameters, is represented in a framework. Skewness and kurtosis values are added to the output structure in order to lead complex analysis on the output descriptions. In this work, depending on the structure or aim of the analysis, the permittivity or the permeability of a layer is randomized. The overall reflection coefficient is calculated via recursive analysis. [ABSTRACT FROM AUTHOR]

With the rapid integration of digital technologies into e-commerce platforms, online sales have increased dramatically in recent years. Additionally, customers' awareness of the global competition among hundreds of e-commerce companies has increased their expectations such as high quality, low price, fast and free delivery like never before. In response, e-commerce companies have started revisiting their logistics systems to survive in such a business environment by meeting rising expectations and minimizing operational costs. Thus, most companies have been focused on order-picking processes, which are characterized by high operating times and labor costs. Accordingly, collaborative robots (cobots) have been used in many warehouses to make order-picking operations more efficient and profitable. Depending on the distance between pick locations, a cobot can either be ridden by the order picker or autonomously move to the next pick location while the order picker is walking. This paper proposes a bi-level programming model to find the optimal designs of order-picking warehouses employing collaborative robots. The top-level model is used to determine the optimal shape factor (width-to-depth ratio) minimizing the order-picking time; whereas, the bottom-level model determines the optimal route and collaboration strategy. Based on Monte Carlo simulation, it is shown that the shape factor significantly affects the length of an order-picking tour when the pick-list size is small. However, it is concluded that the optimal shape factor varies depending on the pick-list size. [ABSTRACT FROM AUTHOR]