Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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Mosques of Ottoman Period in Bosnia and Herzegovina: A typological classification of historical forms
Get PDFAt the beginning of the 20th century, more than a thousand mosques originating from the Ottoman period (1463-1878) were recorded in Bosnia and Herzegovina. Some estimates point that the number currently is much smaller. The goal of this study is to establish a typological classification of historical forms that were developed in more than four centuries. The diversity of patterns comes from the mixed influences ranging from the developed Ottoman style to the local material conditions and regional building traditions. This study used a qualitative evaluation of many characteristic examples to identify prevalent features that point to different types and subtypes of mosques. The evaluation of various examples used both firsthand observation and the written sources that are readily available. Thirty-six historical domed mosques were founded in Bosnia and Herzegovina, and their architecture is essentially a reflection of the architectural pattern predominantly from the 16th-century classical repertoire. However, a significantly higher proportion of mosques have sloping roofs where they strongly suggest domestic influences. The paper defines distinctive roofed mosque types where common characteristics predominate. Certain variations from the standard show a clear need for flexibility, adaptability, or improvisation. The study shows that the fundamental concept of the Turkish single-unit mosque, which was developed in Anatolia beginning in the 12th century, underwent a broad interpretation in Bosnia and Herzegovina throughout the Ottoman period, as evidenced by a variety of distinct types of roofed mosques
Study of effective calculation operation implementation remaining multi-bit numbers division on FPGA
Get PDFThe rapid enhancement in the fields of the computers that leads to rapid breaking for ciphering algorithms and for these reasons most of ciphering algorithm tried to used multidigit for ciphering texts or images. Using multidigit will increase the safety of information and protected it from supercomputer from breaking the ciphering algorithms. The current information systems employ operations on finite fields of various structures (for example, cryptographic systems). In this instance, it\u27s common to have to deal with enormous numbers (128 bits or more). The proposed operation of discovering the remainder of the division of multidigit numbers will considerably improve the speed of such systems if implemented
Study of the tensile and compressive strength of fiber-reinforced concrete
Get PDFIn this research, the effect of adding fibres from plastic bags waste to the Concrete mixed with local materials, its compressive strength and tensile strength were studied Percentages of cement weight (0.5-2%) while FP plastic fibres I used a reference mixture that is free of any additive and another that contains fibre w/c in the same proportions as the plastic fibres. The ratio of water to FPP polymeric cement For all mixtures are 0.50% and 0.55% and stabilized or weighed cement and large aggregates with Adjust or weigh the small aggregate to suit or weigh the added fibres. The results showed that with 1% with the first mixture and Fp, the compressive strength increased by 3.5%, corresponding to the percentage of fibres 2% of its resistance in the second Fp-free reference mixture is more than 3.9% at fibres. Concrete\u27s tensile strength increases with the first mixture by 26% to 0%.
Added from the weight of cement 1% to 1.5%, it increases, and on the other hand, it increases The tensile strength is very similar to that of polypropylene-reinforced concrete To improve the tensile properties of concrete. The density of concrete FP on fibre capacity Those containing plastic are lighter than those containing polypropylene Light concrete, but it is necessary to pay attention to the presence of voids and the possibility of separation for concrete. Production of fibre-reinforced concrete from industrial waste is beneficial Environmental disposal of industrial waste that has a harmful environmental impact and This waste is plastic waste in addition to its availability and cheapness
Investigation the impact of using the recess air bio-filter (TBAB) with integrated system of a cyclic 2-recess adsorption/desorption unit for treatment of squander gas streams
Get PDFIn the chemical industry, changes in influent fixations and shifts in the composition of squander air make bio-filtration a challenging technique. As a possible solution to the constraints of bio-filtration technology, this research designs and implements a coordinated framework that includes a cyclic 2-recess (adsorption/desorption) unit and a trickling recess air bio-filter (TBAB). The study\u27s major goal was to keep the TBAB volatile organic compound (VOC) degradation performance stable and consistent over time. The studies were conducted on different TBABs with a single VOC exchange and a biomass control of periodic discharging. Solvents that are routinely used in paint booths were examined as VOCs. Two aromatic chemicals (styrene and toluene) were investigated, as well as two aliphatic chemicals (methyl ethyl ketone (MEK) and methyl isobutyl ketone) (MIBK). While the production process rotated, our study duplicated VOC emission rotation in certain chemical sectors. When VOCs were switched to aromatics, the bio-filter required an apparent re-acclimation period, according to the results. The second phase looked at two different combinations of these VOCs in two separate TBAB trains with a step change in influent focus. In the third phase, the buffering performance of a cyclic 2-recess adsorption unit was tested for a taking care of creation based on an EPA modern emanation report under a square wave of fluctuating conditions. The VOC combination was treated in the fourth step with a coordinated framework that includes two cyclic adsorption/desorption recess as well as TBAB. When compared to the control unit, the incorporated framework had the option to accomplish high steady performance, according to the studies\u27 findings. Lastly, researchers looked at the microbial communities of the bio-filters employed in the VOC interchange and VOC mixing studies. The interchange of VOCs demonstrated a steady transition in microbial diversity. The community structure of VOC mixes demonstrated a significant degree of independence from the component content
Strengthening of fire damaged, light weight, high strength reinforced concrete beam using SIFCON jacket
Get PDFThis study aims to extrapolate the behavior of lightweight (LECA) high strength concrete beams subjected to high temperatures. the LECA aggregate was utilized as coarse fraction in the reference mixture. a post development process in terms of jacketing the fire damaged beams with SIFCON materials layer was also investigated. In addition to the reference samples, various parameters of concrete beams and conditioning were conducted, namely, fire duration exposure, concrete cover, and SIFCON layer thickness. In details, two concrete cover thickness, half and one-hour fire duration exposure, and two SIFCON layer thicknesses were the main parameters in this study. the thermal gradient through the beam cross section was captured through installing thermocouples sensors embedded inside at various location. The physical and chemical properties were tested for all used materials in this study. Overall, fourteen concrete beam samples were tested for all the three phases (normal or reference, fire damaged samples, and post enhancement with SIFCON jacket). the level of comparison for the tested samples was focused on several parameters are; maximum shear load capacity and corresponded displacement, ductility index, cracking load, initial and secant stiffness, and energy absorption. The experimental test results under the scope of this research have shown significant improvement for the strengthened beams were observed compared with the damaged samples. Moreover, the results have cleared that the strengthened beams, in term of the mentioned indices were recovered as and comparable to the undamaged (reference beam), except the absorption energy. Where further studies and efforts have to be paid to overcome such issue
Increasing production of various garlic local cultivars in off season by gliocompost
Get PDFGarlic in off season will be faced low production with poor quality tubers. Gliocompost which contains active ingredients of gliocladium can function as a biocontrol and biofertilizer. The aim of this research was to increase the bulb production of various cultivars of garlic in off season by using gliocompost. The research was conducted in Cianjur Regency, West Java, Indonesia, with an altitude of 1,320 m above sea level from August 2018 to January 2019 at -6.75908, 107.02897, 1334, 318. The research used a factorial randomized block design with two factors. The first factor of garlic cultivar consisted of five cultivars, namely Lumbu Putih (LP), Lumbu Kuning (LK), Lumbu Hijau (LH), Tawangmangu Baru (TB), and Sangga Sembalun (SS). The second was gliocompost, namely with and without gliocompost with six replications. Gliocompost application was given before planting at a dose of 5 kg per 200 kg of manure for 1 ha. The data observed were shoot emergence (%), plant height (cm), bulb diameter (cm), yield per ha (ton), yield per plot (ton), live plants (%), and production gap (%). Data were analyzed by analysis of variance and if there was a significant difference, then it was followed by the Duncan test at the 95% confidence level. Heatmap analysis was performed using the R Studio program. The results showed that the use of gliocompost did not affect the yield per ha of LK and SS, but it could increase yield per ha of LH, TB, and LB, increase yield per plot and decrease percentage of production gap of LP. Gliocompost increased bulb diameter. LP had a higher bulb diameter and percentage of live plants than LK
The effectiveness of the islamization of science curriculum on students\u27 acquisition of science processes and increase motivation towards learning science
Get PDFThe current study investigates the effectiveness of the Islamization of the science curriculum in developing students\u27 science processes and enhancing their motivation towards learning science. Science Quotes from the Holy Qur’an were used to frame the process of re-designing the science curriculum to be consistent with the Islamized curriculum. The study employed an experimental research design. The sample of the study is 30 Jordanian seventh-grade students who were selected randomly. The students were divided into two groups. The control group studied the official curriculum of science and re-designed the science curriculum was taught for the experimental group to be consistent with the Islamic point of view. A pre-test to measure students\u27 science processes, and a measure of their motivation towards learning science. The researcher extracted examples of science processes from the Holy Qur’an and benefited from them in re-designing the science curriculum to be consistent with the Islamization of curricula. The results showed that the proposed science curriculum had a significant and positive impact on students\u27 acquisition of science processes, and increased their motivation towards learning science
Implement DNN technology by using wireless sensor network system based on IOT applications
Get PDFThe smart Internet of Things-based system suggested in this research intends to increase network and application accuracy by controlling and monitoring the network. This is a deep learning network. The invisible layer\u27s structure permits it to learn more. Improved quality of service supplied by each sensor node thanks to element-modified deep learning and network buffer capacity management. A customized deep learning technique can be used to train a system that can focus better on tasks. The researchers were able to implement wireless sensor calculations with 98.68 percent precision and the fastest execution time. With a sensor-based system and a short execution time, this article detects and classifies the proxy with 99.21 percent accuracy. However, we were able to accurately detect and classify intrusions and real-time proxy types in this study, which is a significant improvement over previous research
The diagnosis of COVID-19 in CT images using hybrid machine learning approaches (CNN & SVM)
Get PDFThe new coronavirus disease (2019) has spread quickly as an acute respiratory distress syndrome (ARDS) among millions of individuals worldwide. Furthermore, the number of COVID-19 checking obtainable in hospitals is very limited as compared to the rising number of infections every day. As an outcome, an automatic detection system must be implemented as a quick diagnostic tool for preventing or reducing the spread of COVID-19 among humans. The present paper aims to propose an automated system by means of a hybrid Deep Learning ("convolutional neural network"(CNN)) and "support vector machine (SVM)" approach for identifying COVID-19 pneumonia-infected patients on the basis of chest computed tomography (746 CT images of "COVID-19" and "non-COVID-19"). The proposed system is composed of three phases. The first, pre-processing phase begins with converting CT images into greyscale level CT images of equal size (256×256). The "contrast limited adaptive histogram equalization" technology is adopted to enhance the intensity levels, and demonstrate the feature of lung tissue. It is also necessary to normalize the division of the image elements by 255 to make the values between 0 and 1, as this will speed up the processing process. The second phase, the CNN (SimpNet model), was applied as a deep feature extraction technique to identify CT samples. The SVM classifier and SoftMax function are employed in the third phase to classify COVID-19 pneumonia-infected patients. Specificity, Sensitivity, "F-score", Accuracy, and "area under curve" are used as criteria to estimate the efficiency of the classification. The results showed a high accuracy rate of COVID-19 classification which reached (98%) and (99.1%) for CNN-SoftMax and CNN-SVM classifier, respectively in the tested dataset (225 CT images)
Optimized power and water allocation in smart irrigation systems
Get PDFAgriculture has a significant role in countries’ economy, but irrigation process consumes both power and water resources. Since in agriculture the goal is to maximize crop’s yields with minimize costs, it is important to design a national smart irrigation system with optimal allocation of power and water resources especially in a plantation area with little rains. In this work, an optimized on-demand smart irrigation system is proposed to manage the allocation of the consumed power and water in agriculture field. The system controls irrigation process by utilizing Wireless Sensor Network (WSN) to collect real-time data from the field using sensors. Raspberry pi takes appropriate decision about irrigation process according to received data from sensor nodes, and commands are sent from it to actuator nodes. Secured Message Queuing Telemetry Transport (MQTT) protocol with Transport Layer Security (TLS) authentication protocol is used in managing the data exchange in the network over Wi-Fi technology. In addition, an optimal power and water consumptions formula is derived using Lagrange Multiplier method to allocate resources in an optimal way depending on watering demands. Both theoretical and practical results approve the efficiency of the proposed system in managing irrigation process optimally