The demand for concrete production has led to a significant annual requirement raw materials, resulting in substantial amount of waste concrete. In response, recycled aggregate emerged as promising solution. However, it faces challenges due the vulnerability hardened mortar attached natural aggregates, leading susceptibility cracking and reduced strength. This study focuses on predicting split tensile strength fiber reinforced using five prediction models, including two deep neural network...

Due to an aging population, assisted-care options are required so that senior citizens may maintain their independence at home for a longer time and rely less on caretakers. Ambient Assisted Living (AAL) encourages the creation of solutions can help optimize environment with assistance while greatly reducing challenges. A framework based Internet Medical Things (IoMT) is used in current study implementation AAL technology patients Type-2 diabetes. glucose oxide sensor monitor diabetic...

More adaptable and user-independent techniques are required for multi-sensors based daily locomotion detection (MS-DLD). This research study proposes a couple of methods using body-worn to successfully categorize several transitions. presents both standard state-of-the-art MS-DLD. Conventionally, improve MS-DLD process, the proposed methodology consists wavelet transformed Quaternion-based filter inertial signals, patterns recognition in form kinematic-static energies, multi-features...

The study of human posture analysis and gait event detection from various types inputs is a key contribution to the life log. With help this research technologies humans can save costs in terms time utility resources. In paper we present robust approach complex video-based data. For this, initially information, landmark information are extracted, 2D skeleton mesh using set reconstruct 3D model. Contextual features, namely, degrees freedom over detected body parts, joint angle periodic...

Over the past few years, automatic recognition of human interactions has drawn significant attention from researchers working in field Artificial Intelligence (AI). And feature extraction is one most critical tasks developing efficient Human Interaction Recognition (HIR) systems. Moreover, recent researches computer vision suggest that robust features lead to higher accuracies. Hence, an improved HIR system been proposed this paper combines 2D and 3D extracted using machine learning deep...

Though theoretical knowledge is essential, there a growing belief that when teaching applied sciences, particularly engineering, great emphasis should be placed on the development of students’ practical skills. Therefore, some courses and curricula need to revised enhance current state education in this field. This can achieved through introduction project-based learning (PBL). The PBL approach ideal for engineering disciplines because its framework promotes critical thinking problem-solving...

In the new era of technology, daily human activities are becoming more challenging in terms monitoring complex scenes and backgrounds. To understand from life logs, human-object interaction (HOI) is important visual relationship detection pose estimation. Activities understanding recognition between object along with estimation modeling have been explained. Some existing algorithms feature extraction procedures complicated including accurate rare postures, occluded regions, unsatisfactory...

With the dramatic increase in video surveillance applications and public safety measures, need for an accurate effective system abnormal/suspicious activity classification also increases. Although it has multiple applications, problem is very challenging. In this paper, a novel approach detecting normal/abnormal been proposed. We used Gaussian Mixture Model (GMM) Kalman filter to detect track objects, respectively. After that, we performed shadow removal segment object its shadow....

Human object interaction (HOI) recognition plays an important role in the designing of surveillance and monitoring systems for healthcare, sports, education, public areas. It involves localizing human targets then identifying interactions between them. However, it is a challenging task that highly depends on extraction robust distinctive features from use fast efficient classifiers. Hence, proposed system offers automated body-parts-based solution HOI recognition. This uses RGB (red, green,...

Unhealthy lifestyle causes several chronic diseases in humans. Many products are introduced to avoid such illnesses and provide e-learning-based healthcare services. However, the main focus is still on providing comfortable reliable solutions. Inertial measurement units (IMU) considered as most independent non-intrusive way monitor analyze human health via motion patterns detection. Deep learning also taken an excellent tool detect from IMU data. In this paper, a deep-learning-based...

Innovative technology and improvements in intelligent machinery, transportation facilities, emergency systems, educational services define the modern era. It is difficult to comprehend scenario, do crowd analysis, observe persons. For e-learning-based multiobject tracking predication framework for data via multilayer perceptron, this article recommends an organized method that takes e-learning crowd-based type as input, based on usual abnormal actions activities. After that, super pixel...

Human motion detection technology holds significant potential in medicine, health care, and physical exercise. This study introduces a novel approach to human activity recognition (HAR) using convolutional neural networks (CNNs) designed for individual sensor types enhance the accuracy address challenge of diverse data shapes from accelerometers, gyroscopes, barometers. Specific CNN models are constructed each type, enabling them capture characteristics their respective sensors. These...

Abstract Aramco has developed a novel sized particulate LCM using eco-friendly natural date seeds as the raw material. The Kingdom of Saudi Arabia generates more than 150 thousand tons each year waste by-product. Currently, there is no industrial use vast amount available in Kingdom. Due to sustainable source Kingdom, it potential material for localization some product development reduce import cost and fulfill vision 2030 Arabia. Its will also boost growth local industries enterprises along...

Different types of conventional and unconventional fibrous LCMs have been used in the design loss control slurry and/or LCM pill to overcome circulation problems. Almost all these products are imported from overseas countries. Hence, objective this pioneering research is develop an eco-friendly product using a locally available raw materials that has sustainable source supply Kingdom or region ensure continuous support for exploration exploitation oil gas resources region. Review natural...

Due to global warming, governments around the world are focusing on renewable energy as main source of energy. Gulf countries in particular, solar due its abundance and gulf geolocation that allows installation ambitious photovoltaic (PV) systems replace conventional power plants. In order maximize extraction from sun, operators need constantly monitor key PV parameters such panel temperature, irradiation, voltage current detect abnormalities system operation take necessary actions keep...

Independent human living systems require smart, intelligent, and sustainable online monitoring so that an individual can be assisted timely. Apart from ambient living, the task of activities plays important role in different fields including virtual reality, surveillance security, interaction with robots. Such have been developed past use various wearable inertial sensors depth cameras to capture actions. In this paper, we propose multiple methods such as random occupancy pattern, spatio...

Abstract To understand the interactions between shale rocks and aqueous drilling fluids, spontaneous imbibition of water phase into pore systemsneeds to be investigated. It is important study shale-fluid mitigate problems associated with formations using water-based fluids. Spontaneous experiments have been frequently conducted assess flowback recovery for reservoir engineering applications. In this paper, literature has reviewed in an attempt link work that carried out area filtrate...

Abstract Loss of circulation is a major source non-productive time (NPT) in the drilling operations worldwide. Different types loss materials (LCM) have been developed and used to minimize mud losses mitigate associated problems. Before new type LCM deployed field, it needs go under extensive laboratory testing with simulated downhole conditions measure its performance. Therefore, number methods introduced test effectiveness those ability high-temperature high-pressure (HTHP) environment....

Abstract Drilling fluid is the life line of safe and economic drilling operation to explore oil gas resources from earth's crust. However, it also root cause various mud related problems such as shale-drilling interactions, borehole instability, loss circulation, differential pipe sticking, etc. Differential sticking one major that very common when passing through a prone high permeable zone. It items non-productive time increases total cost dramatically, especially if there delay in...

Lab Investigation of Oil Swelling Elastomers for Smart Well Completions Abdullah Saleh Al-Yami; Al-Yami Saudi Aramco Search other works by this author on: This Site Google Scholar Hisham A. Nasr-El-Din; Nasr-El-Din Texas A&M University Salah Al-Saleh; Al-Saleh Ahmed S. Al-Humaidi; Al-Humaidi Mohammed Khalid Al-Arfaj Paper presented at the Offshore Technology Conference, Houston, Texas, USA, May 2008. Number: OTC-19403-MS https://doi.org/10.4043/19403-MS Published: 05 2008 Cite View Citation...

Image or feature matching-based indoor localization still faces many technical challenges. Image-tag-based schemes using pose estimation are accurate and robust, but they cannot be deployed widely because their performance degrades significantly when the tag-camera distance is large, which requires densely distributed tags, designed system generally specific to some special tags lenses. Also, lens distortion appreciably difficult correct, especially for wide-angle This article develops an...

Abstract Shale instability is a major problem for drilling operation. Shales make up over 75% of drilled formations and are responsible 90% wellbore problems. There many associated with shale such as instability, cuttings dispersion, stuck pipe, bit balling. used to be the problematic that needed drill through minimum number problems, lowest possible lost time generally shortest open-hole minimize fluid sensitivity issues. However, advancement in production techniques, some now target...