In recent years, the search for economic and environmentally friendly alternatives has become a global necessity to achieve sustainability and preserve raw materials. From this concept, natural bitumen (NB) derived from sulphur springs is now one of the most promising alternative energy resources for many applications, especially in asphalt pavement construction. Its low price and abundance characterise NB since sulphur springs produce thousands of tonnes of NB annually and are used in very limited fields. Two main objectives were adopted for this work. The first objective is to examine the virgin NB properties from five sulphur springs and compare them with petroleum asphalt. The second objective is to enhance NB properties by applying heat treatment. The experimental results reveal that heat treatment is highly effective in improving the NB properties. This was confirmed by conducting many tests, such as asphalt, Marshall, SEM-EDX, and indirect tensile strength tests. Based on the experimental test outcomes, virgin NB properties do not conform to asphalt specification limits and are unsuitable for flexible roads. Also, MS-NB significantly affected the mechanical properties of the asphalt mixture, as Marshall's stability increased by 41.3% compared to the conventional mixture. In addition, SS-NB was more effective in moisture damage resistance due to increasing the tensile strength ratio by 5.72 % and provided a higher stiffness index than the conventional mixture by 40.36%. In conclusion, the treated NB can successfully be used as a binder material in hot asphalt mixtures. ABSTRAK: Beberapa tahun kebelakangan, pencarian alternatif baharu ekonomi dan mesra alam telah menjadi satu keperluan global bagi mencapai kemampanan dan memelihara bahan mentah. Melalui konsep ini, bitumen asli (NB) yang diperoleh daripada mata air sulfur kini merupakan satu sumber tenaga alternatif yang berguna bagi digunakan dalam pelbagai aplikasi, terutamanya dalam pembinaan turapan asfalt. NB dicirikan oleh harga yang rendah dan kelimpahannya kerana mata air sulfur menghasilkan beribu-ribu tan NB setiap tahun dan digunakan dalam bidang terhad. Dua objektif utama telah dipakai untuk kajian ini. Objektif pertama adalah memeriksa sifat NB dara daripada lima mata air sulfur dan membandingkannya dengan asfalt petroleum. Objektif kedua adalah meningkatkan sifat NB dengan menggunakan rawatan haba. Dapatan eksperimen mendedahkan bahawa rawatan haba sangat berkesan dalam meningkatkan sifat NB. Ini disahkan dengan menjalankan pelbagai ujian, seperti ujian asfalt, ujian Marshall, ujian SEM-EDX, dan ujian kekuatan tegangan tidak langsung. Berdasarkan dapatan eksperimen, sifat NB dara tidak mematuhi had spesifikasi asfalt dan tidak sesuai untuk jalan fleksibel. Selain itu, MS-NB mempunyai kesan ketara pada sifat mekanikal campuran asfalt kerana kestabilan Marshalls meningkat sebanyak 41.3% berbanding campuran konvensional. Tambahan, SS-NB lebih berkesan dalam rintangan kerosakan lembapan kerana meningkatkan nisbah kekuatan tegangan sebanyak 5.72 % dan memberikan indeks kekukuhan yang lebih tinggi daripada campuran konvensional sebanyak 40.36%. Kesimpulannya, NB yang dirawat boleh berjaya digunakan sebagai bahan pengikat dalam campuran asfalt panas.
The deep learning algorithm has recently achieved a lot of success, especially in the field of computer vision. This research aims to describe the classification method applied to the dataset of multiple types of images (Synthetic Aperture Radar (SAR) images and non-SAR images). In such a classification, transfer learning was used followed by fine-tuning methods. Besides, pre-trained architectures were used on the known image database ImageNet. The model VGG16 was indeed used as a feature extractor and a new classifier was trained based on extracted features.The input data mainly focused on the dataset consist of five classes including the SAR images class (houses) and the non-SAR images classes (Cats, Dogs, Horses, and Humans). The Conv
... Show MoreThis investigation proposed an identification system of offline signature by utilizing rotation compensation depending on the features that were saved in the database. The proposed system contains five principle stages, they are: (1) data acquisition, (2) signature data file loading, (3) signature preprocessing, (4) feature extraction, and (5) feature matching. The feature extraction includes determination of the center point coordinates, and the angle for rotation compensation (θ), implementation of rotation compensation, determination of discriminating features and statistical condition. During this work seven essential collections of features are utilized to acquire the characteristics: (i) density (D), (ii) average (A), (iii) s
... Show MorePsychological research centers help indirectly contact professionals from the fields of human life, job environment, family life, and psychological infrastructure for psychiatric patients. This research aims to detect job apathy patterns from the behavior of employee groups in the University of Baghdad and the Iraqi Ministry of Higher Education and Scientific Research. This investigation presents an approach using data mining techniques to acquire new knowledge and differs from statistical studies in terms of supporting the researchers’ evolving needs. These techniques manipulate redundant or irrelevant attributes to discover interesting patterns. The principal issue identifies several important and affective questions taken from
... Show MoreThe term "tight reservoir" is commonly used to refer to reservoirs with low permeability. Tight oil reservoirs have caused worry owing to its considerable influence upon oil output throughout the petroleum sector. As a result of its low permeability, producing from tight reservoirs presents numerous challenges. Because of their low permeability, producing from tight reservoirs is faced with a variety of difficulties. The research aim is to performing hydraulic fracturing treatment in single vertical well in order to study the possibility of fracking in the Saady reservoir. Iraq's Halfaya oil field's Saady B reservoir is the most important tight reservoir. The diagnostic fracture injection test is determined for HF55using GOHFER soft
... Show MoreThe ability of Cr (VI) removal from aqueous solution using date palm fibers (leef) was investigated .The effects of pH, contact time, sorbets concentration and initial metal ions concentration on the biosorption were investigated.
The residual concentration of Cr (VI) in solution was determined colorimetrically using spectrophotometer at wave length 540 nm .The biosorption was pH-dependent, the optimum pH was 7 and adsorption isotherms obtained fitted well with Langmuir isotherms .The Langmuir equation obtained was Ce/Cs = 79.99 Ce-77.39, the correlation factor was 0.908.These results indicate that date palm fibers (leef) has a potential effect for the uptake of Cr (VI) from industrial waste water.
This paper presents the ability to use cheap adsorbent (corn leaf) for the removal of Malachite Green (MG) dye from its aqueous solution. A batch mode was used to study several factors, dye concentration (50-150) ppm, adsorbent dosage (0.5-2.5) g/L, contact time (1-4) day, pH (2-10), and temperature (30-60) The results indicated that the removal efficiency increases with the increase of adsorbent dosage and contact time, while inversely proportional to the increase in pH and temperature. An SEM device characterized the adsorbent corn leaves. The adsorption's resulting data were in agreement with Freundlich isotherm according to the regression analysis, and the kinetics data followed pseudo-first-or
... Show More<p>Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients’ CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convol
... Show MoreA mathematical model has been formulated to predict the influence of high outdoor air temperature on the performance of small scale air - conditioning system using R22 and alternative refrigerants R290, R407C, R410A. All refrigerants were investigated in the cooling mode operation. The mathematical model results have been validated with experimental data extracted from split type air conditioner of 2 TR capacity. This entailed the construction of an experimental test rig which consists of four main parts. They are, the refrigeration system, psychrometric test facility, measuring instrumentation, and auxiliary systems. The conditioned air was maintained at 25 0C dry bulb and 19 0C wet bulb for all tests. The outdoor ambient air temperatur
... Show MoreMany conservative sphincter-preserving procedures had been described to be effective in
healing of anal fistula without excision or de roofing.
Objective: To verify the outcome of mere photocoagulation of the fistula tract on healing of low anal
fistula.
Materials and Methods: Using 810nm diode laser, the tracts of low anal fistulae in a cohorts of six male
patients (mean age of 32 yr) had been photocoagulated by retrograde application of laser light through an
orb tip optical fiber threaded in to the tract. Swabs for culture and sensitivity testing were obtained before
and after laser application. Patients were followed up regularly to announce fistula healing.
Results: Mean laser exposure time was 6.6 min., mean