Electrical properties of the prepared polymer films, made of poly (ethylene oxide) (PEO) filled with electrolyte alum salt of different concentrations, and doped with conductive carbon black (CB) nanoparticles (0.1 wt%), have been investigated. Electrical properties were studied as a function of filler content and applied field frequency at T=40 °C. The observed physical constants of the casted thin films like AC conductivity, phase angle, impedance, dielectric constant, and electric modulus were determined. It was found that these measured quantities vary with the alum content and applied field frequency. The AC conductivity (s_ac) increases with increasing alum concentration and frequency. The dielectric constant (e') and the dielectric loss (e") of the composites decrease with frequency and increase with alum concentration. The dependence of the electric modulus on frequency exhibit a relaxation peak occurs at 500 kHz.

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Increasing demand for the development of alternative materials to plastics and depleting wood stock ushered into the development of `new polymer composite materials. These polymer composites are either fiber reinforced or particles impregnated or hybrid of these two materials as well. The natural organic matter present in the reinforcement material contributed significant development in polymer composite’s mechanical characteristics. The particulate and fiber reinforced composites was fabricated and tested independently. On comparison, the characteristics of epoxy composites reinforced with four different reinforcements including Chitosen, Red Mud, Rice husk particles and Calotropis Gigantea (CG) stem fiber were carried in the recent investigation. The improved value of characteristics and their respective composites were identified and suggested for industrial applications.

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In this paper a coaxial feed square micro strip patch antenna for wireless communication application is presented. Rectangular slot centered on the square radiating patch which is printed on thick substrate is introduced to enhance the bandwidth of the mictrostrip antenna. The impedance bandwidth can be tuned by changing the slot geometry parameters (length and its width) and the dielectric substrate thickness. Many antenna structures are demonstrated to study the effect of these parameters on the resulting bandwidth response. The characteristic analyses such as return loss (RL), Smith Chart, VSWR, Gain and radiation pattern of the antenna have been investigated. The designed antenna provides the bandwidth of 24.1% (1.86-2.37)GHz for -10dB return loss with maximum gain 5.8dB at 2.1GHz.

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Anticipating present day scenario of fossil fuels, it’s foreshow that, it will endure for another few decades from now. The contrary, alarming cost of petrol/diesel fuels and its related severe effects on our ecosystem compelled the researcher to find any solution/alternate source. An alternate source is not just replacing the commercial fuel, but also increasing its fuel consumption properties. Some research were conducted, targeting on the use of oxy hydrogen gas as an additive /alternative fuel source. Although the storage of this gas necessitate the application of pure hydrogen in petrol engine. Using On-demand generation techniques for oxy-hydrogen gas (HHO) eliminates the difficulties of its storage up to a certain limit. The electrolysis process of water with KOH produces oxy-hydrogen (HHO) gas that can be used as an energy source to solve the short comings of fossil fuel reducing environmental pollution. In this study, HHO gas generator was designed, fabricated and tested experimentally to analyze its performance. The hybrid internal combustion engines using HHO is considered one of the most important studied applications. The engine performance and gas emission is investigated for a CI engines. The results recording the run time of the engine with induction of HHO gas was increased by 3240 sec to 1 liter of diesel. HHO gas reduced the exhaust gas temperature by 1°C and also increased the idle and maximum rpm by 25 rpm and 50 rpm respectively.

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The techniques of gripping elements by means of manipulative robots have had a wide advance during the last years, allowing them to perform complex tasks such as the follow-up of paths with evasion of both static and dynamic obstacles, in order to reach an objective, hold it and deliver it to the user. However, these algorithms do not allow to directly grasp the elements of interest when they present occlusions, which leads to the need to develop a new sequence of displacement that allows recognizing and eliminating possible occlusions on the desired object, before performing the grip. and delivery thereof. The development of the research work was carried out through the use of Convolutional Neural Networks (CNN) type DAG-CNN (Directed Acyclic Graph CNN), an anthropomorphic robot and VRML simulation, where an occlusion elimination sequence was programmed that allows remove unwanted elements located on the object of interest, before making its grip and delivery to the user, both in a physical and virtual environment. The program achieved 100% success in holding and delivering desired objects with less than 5 occlusion elements, with 99% accuracy in the DAG-CNN for the classification of the desired element with and without occlusions.

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In this work, we study the method of matrix formulation when the neutron density presents noise. An exponential filter to reduce fluctuations in the calculation of reactivity is proposed. Neutron density fluctuations are simulated by assuming that its values are around an average density value with a Gaussian distribution. The results are presented for an exponential form of the neutron density and several standard deviations, with two different sample sizes for filtering that produce delays in the calculation of reactivity and with a first order of delay low-pass filter.

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This study aims to determine the effect of buffalo bone charcoal as an energizer to low carbon steel wear with a mesh size of 30 heating temperature of 950°C. Buffalo bone charcoal used in mesh size 30, volume percentage of buffalo bone char and Barium Carbonate 60% ATK + 40% BaCO3, 70% ATK + 30% BaCO3, 80% ATK + 20% BaCO3 heated in furnace at temperature 950°C used for source carbon in low carbon steel to determine the effect of carburizing pack process on low carbon steel wear. The results showed that the highest wear of low carbon steel mesh 30 at heating temperature 950°C with the volume percentage of buffalo and Barium Carbonate 80% ATK + 20% BaCO3 i.e. 0.00062013 gram/s.

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This paper reports the development of a potentiometric sensor sensitive to thiabendazole. It was established, a slightly soluble compound of composition (TBZ)3(???12?40)2 is formed as a result of the interaction of the organic cation of thiabendazole with 12-molybdophosphoric acid (used as a counterion). This composition was used as an electrode-active substance in the synthesis of film polyvinyl chloride membranes of the potentiometric sensor. The obtained ionic associate (TBZ)3(???12?40)2 meet the conditions of the basic requirement for the electrode-active substance of plasticized polyvinyl chloride membranes of the potentiometric sensors (poor water solubility and good solubility in organic solvents). Phthalic acid derivatives (dibutyl phthalate and dioctyl phthalate) and tricresyl phosphate were used as plasticizers of the solvent for the polyvinyl chloride membrane. The influence of various factors on developed sensor's electrode characteristics was investigated: the nature of the membrane-plasticizer of the membrane, the nature of the electrode-active substance, the quantitative content of the electrode-active substance in the membrane, the nature of the counterion, the pH of the investigated solution. The optimal conditions for using the developed potentiometric sensor were found. The sensor response time does not exceed 50 sec, and the membrane life (~ 65 days) allows to carry out the determination without replacement. Developed potentiometric sensor, sensitive to thiabendazole, can be used to develop a potentiometric method for determining the quantitative content of thiabendazole in various objects of industrial production at the level of 10–4 – 10–5 mol/l in a short period of time (5 – 10 min).

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The lossless image compression methods have high demand, particularly in the medical imaging applications. Therefore, we need to increase the image compression acceleration given the demand in the future than the present demand. General Purpose Graphics Processing Unit (GPGPU) is efficient with the development of computing technologies. Therefore, the GPGPU is useful for lossless image compression algorithms to achieve efficiency and speed in performance. This paper is presented with a wavelet tree-based image compression algorithm based on Compute Unified Device Architecture (CUDA) platform. The encoding phases of the compression algorithm have been changed to parallelism and efficiency. With comparable compression ratios, our algorithm works faster than the sequential lossless JPEG-XR and BCWT algorithms. Currently, the parallel BCWT algorithm is subject to further improvement of speed and flexibility.

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The deficiency of road infrastructure reduces or decreases its efficiency, thereby, resulting in inadequate functioning, capable of triggering traffic accidents. This is also one of the major causes of traffic accident on roads. Interaction between human errors and road infrastructure cause road traffic accident 34%. Road accidents are not only caused by the condition of vehicle and driver, but also due to many factors, including its design (horizontal and vertical alignments), preceding and stop sight distance, pavement conditions, and completeness of road equipment facilities. The aim of this research was analyzing road infrastructure deficiency at black spot area to increased road safety. The study location was in Brobot Street, Bojongsari, Purbalingga, Central Java, Indonesia. Three parameters that analyzed in road infrastructure deficiency i.e.: condition of road geometric, condition of road pavement, and harmonization of road equipment facilities. The result showed that some road infrastructures must be repaired to reduce traffic accidents. Road geometric aspect involves the shoulder width, (improve the shoulder to 1.5 m wide), while its pavement condition involve lane or shoulder drop off. To harmonize these inconsistencies equipment such as install maximum speed limit sign (40 km/h), warning sign along black spot location should be perfectly located along these roads and install traffic sign.

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Recently, nonparametric regression does not only develop in cross section data but also in longitudinal data. Longitudinal data have repeated measurements in each subject. In the measurements for each subject sometimes there is a trend, seasonal, also combination between trend and seasonal data pattern. In this study, the performance of nonparametric regression estimators for longitudinal data related to model trend seasonal data pattern is compared by using Mean Square Error (MSE), Generalized Cross Validation (GCV) and determination coefficient value as goodness of indicator. The estimators that be used is truncated spline, Nadaraya Watson kernel, and Fourier series with include cosines and sines bases. This paper has contribution to introduce Fourier series, the new estimator for longitudinal data, as an alternative estimator for modeling trend and seasonal data. The result, the Fourier series estimator has the best performance indicators in modeling trend and seasonal data pattern for longitudinal data when compared with the estimator that be developed early in nonparametric regression for longitudinal data, such as spline and kernel. The result is important for data analysis in nonparametric regression for longitudinal data because there is data pattern with trend seasonal in many applications that need suitable estimator.

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Abstract:

The iron stain is a disease caused by the fungus Cercospora coffeicola Berk and Cooke, attacks coffee leaves and fruits in all stages of development of the plant. This article proposes an intelligent system for iron stain detection. The model captures images to reduce the size, increases the data of the data set, segmentation to separate the object of interest from the background, then extracts the study characteristics of the image to be recognized, interpreted and detected in the last classification stage. The proposed system has an effectiveness of 77.32% when detecting the iron stain on coffee leaves with a data set of 2800 images of which, 1400 has the disease and 1400 do not have it. The proposed system helps farmers to control iron stain early by contributing to a healthy crop that generates good crop yield.

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