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Articles 8221 - 8250 of 27532

Full-Text Articles in Engineering

A Methodological Framework For Setting Up The Urban Observatory For Informed Cities (Case Study: El Tor City, South Sinai, Egypt), Eman Metwally, Enas Samir Jan 2023

A Methodological Framework For Setting Up The Urban Observatory For Informed Cities (Case Study: El Tor City, South Sinai, Egypt), Eman Metwally, Enas Samir

Mansoura Engineering Journal

Cities are now more than ever seen as crucial to addressing global issues. They have been repeatedly identified as key locations to address the interrelated environmental, health and social issues affecting our increasingly civilized planet. Many global agreements and frameworks, including the 2030 Agenda for Sustainable Development (2015) and the New Urban Agenda (2016) and developing data and information, have certainly emerged as an increasingly critical element in how we think, experience and ultimately manage cities. We produce more urban data than ever before, through a variety of formal and informal knowledge mobilization channels, but this is not always accessible …

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Converting A Nonlinear Differential Equation With Arbitrary Orders To A System, E. A. A. Ziada Jan 2023

Converting A Nonlinear Differential Equation With Arbitrary Orders To A System, E. A. A. Ziada

Mansoura Engineering Journal

In the research, the Adomian decomposition method will be applied to get the solution of differential equations of arbitrary orders by transforming them into systems. The existence of a unique solution will be proven. The series solution converges is discussed, and more than the error is estimated. Some applications will be solved, which are the Basset problem and the Bagley-Torvik equation.

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Early Liver Disease Diagnosis Using Grey Wolf Optimization Algorithm, Abrar Rizk M. Khedr, Ahmed I. Saleh, Ahmed S. Samra, Eman Abdelhalim Jan 2023

Early Liver Disease Diagnosis Using Grey Wolf Optimization Algorithm, Abrar Rizk M. Khedr, Ahmed I. Saleh, Ahmed S. Samra, Eman Abdelhalim

Mansoura Engineering Journal

Every year, millions of people around the world experience health issues due to liver disease, and It is also being a major global cause of mortality. A variety of factors, such as obesity and hepatitis infection, can harm the liver and contribute to these disorders. However, diagnosis of chronic liver disease is often an expensive and complex process, and early detection of liver disease poses challenges because of its elusive symptoms that can often lead to delayed diagnosis. We employed machine learning for this study, to anticipate individuals with liver diseases before symptoms appear. To attain the best accuracy, we …

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Fluid-Structure Interaction Adopting Full Water Hammer Model, A. O. Abdelbaki, A-R. Abdel-Rahim, Mostafa. M. Awad, W. M. Elawady Jan 2023

Fluid-Structure Interaction Adopting Full Water Hammer Model, A. O. Abdelbaki, A-R. Abdel-Rahim, Mostafa. M. Awad, W. M. Elawady

Mansoura Engineering Journal

A full water hammer model is developed and coded in the Mathcad software environment. The developed model constitutes a general platform for studying the water hammer transient incorporating the most legitimate parameters that affect the phenomenon. In this study, the fluid-structure interactions during water hammer transients were investigated through the affecting parameters such as pipeline material hysteresis behavior what is so-called viscoelasticity (VE) behavior, and unsteady friction (UF) with different coupling mechanisms such as friction coupling, Poisson coupling, and junction coupling which may be due to a free-to-move valve for system with a reservoir-pipe-valve. Based on the numerical results corresponding …

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Analysis Of Stress And Strain Concentrations Around An Elliptical Hole Via Finite Element And Response Surface Methodology, Somaya M. Aiad, Tawakol A. Enab, Mona A. Aboueleaz Jan 2023

Analysis Of Stress And Strain Concentrations Around An Elliptical Hole Via Finite Element And Response Surface Methodology, Somaya M. Aiad, Tawakol A. Enab, Mona A. Aboueleaz

Mansoura Engineering Journal

The current investigation aims to study the stress and strain concentration factors (Kσ and Kε) around a central elliptical hole in a rectangular plate under uniaxial and biaxial loads. Finite element and response surface methods (FEM and RSM) were used to predict the values of Kσ and Kε in isotropic and orthotropic material rectangular plates. Thus, the finite element models were built using ANSYS commercial FEM software to obtain the values of Kσ and Kε for some designed cases. Moreover, the response surface methodology was applied to limit the required number of FEM runs based on the number of variables. …

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Machine-Learning Based Stacked Ensemble Model For Accurate Multi Classification Of Cbc Anemia, Asmaa Mohamed El-Boghdady, Sherif Kishk, Mohamed M Ashour, Eman Abdelhalim Jan 2023

Machine-Learning Based Stacked Ensemble Model For Accurate Multi Classification Of Cbc Anemia, Asmaa Mohamed El-Boghdady, Sherif Kishk, Mohamed M Ashour, Eman Abdelhalim

Mansoura Engineering Journal

Anemia Disease (AD) is one of the most common blood problems in the world. According to the World Health Organization, it leads to lack of oxygen and red blood cells. The problem of classifying anemia is crucial in prescribing an appropriate treatment plan. Unfortunately, it is difficult to accurately diagnose the type of anemia as early as possible in order to properly treat the patient. Such a diagnosis can be complicated by the exponential increase in patient numbers, priority rules set by hospitals, and issues of access to adequate medical professionals. This paper proposes the use of a computer-based model …

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New Online Approach For Real-Time Precise Point Positioning Gnss Processing, Maha Fekry Elrewiny, Fawzi H. Zarzoura, Mahmoud El-Mewafi Jan 2023

New Online Approach For Real-Time Precise Point Positioning Gnss Processing, Maha Fekry Elrewiny, Fawzi H. Zarzoura, Mahmoud El-Mewafi

Mansoura Engineering Journal

Real-time precise point positioning (PPP) is a promising technique for accurate position services. The merging of many systems is intended to increase real-time PPP performance. With a rising number of available satellites and progressively increased quality of real-time accurate products of satellite clocks and orbits, Platforms such as CSRS-PPP, AUSPOS, Magic-GNSS, Trimble, and PPP-MANS are reshaping the landscape of embedded solutions in a variety of sectors. the performance of real-time PPP must be tested on a regular basis. This article examines the benefits and drawbacks of real-time PPP, emphasizing its potential for high accuracy, fast decision-making, and easy interaction with …

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New Dialogue Between Old Crafts And Historical City “Case Study: The Historical Fez Factory In Fowah”, Dalia Shebl Jan 2023

New Dialogue Between Old Crafts And Historical City “Case Study: The Historical Fez Factory In Fowah”, Dalia Shebl

Mansoura Engineering Journal

Traditional crafts are playing an important part of local identity in the city … Nowadays more efforts are being made to preserve them and establish a base and anchor point of economic and touristic development in the Egyptian cities. the paper clarifies the heritage values could evolve in a future through present one of the oldest site in fowah has a characteristic location of traditional crafts therefore it played a great role in contributing and developing many crafts in the other Egyptian cities using a Past-Present-Future framework. The research followed an historical and theoretical methodology for documentation then analytical studies …

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Unveiling Similarities And Differences Between Cutaneous And Ocular Melanomas, Abdallah Badou, Nour El Imane Issam Salah, Mohamed Elbelhadji Jan 2023

Unveiling Similarities And Differences Between Cutaneous And Ocular Melanomas, Abdallah Badou, Nour El Imane Issam Salah, Mohamed Elbelhadji

Health Sciences

Melanomas are outstandingly aggressive cancers, still their incidence is increasing. They can occur in the skin as cutaneous melanoma or in the eye as ocular melanoma. Their pathogenesis is generally similar; however, the prognosis of ocular melanoma patients is still poor, due to its special genetic profile and tumor microenvironment. Here we review the similarities and differences between cutaneous and ocular melanoma, with a focus on their prognostic significance, their molecular signature, and their tumor microenvironment, in order to understand the strategies adopted to escape immune response. Gathering and understanding available knowledge of melanomas and their specificities may help to …

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Full Body Harness Design Modifications And Evaluation: A Senior Design Project, Martin Mead, Jordan Von Seggern Jan 2023

Full Body Harness Design Modifications And Evaluation: A Senior Design Project, Martin Mead, Jordan Von Seggern

The Journal of Undergraduate Research

Full-body harness (FBH) is critical for the safe operation of industrial and recreational activities, from installing and maintaining infrastructure such as wind turbines to ziplining and mountaintop adventures. However, harness design remains in the proprietary information of companies with limited technical information available for improvements or readjustments to specialized applications. As the outcome of the Capstone project, the paper focuses on multiple technical aspects and the engineering processes for designing FBH for ziplining recreational users, from selecting and testing materials for operation in cold weather to improvements in design and manufacturing for user comfort. The project is guided by technical …

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Chatgpt: Open Possibilities, Mohammad Aljanabi, Mohanad Ghazi, Ahmed Hussein Ali, Saad Abas Abed Jan 2023

Chatgpt: Open Possibilities, Mohammad Aljanabi, Mohanad Ghazi, Ahmed Hussein Ali, Saad Abas Abed

Iraqi Journal for Computer Science and Mathematics

ChatGPT-3 is a powerful language model developed by OpenAI that has the potential to revolutionize the way we interact with technology. This model has been trained on a massive amount of data, allowing it to understand and generate human-like text with remarkable accuracy.One of the most exciting possibilities of ChatGPT-3 is its potential to improve natural language processing (NLP) and natural language understanding (NLU) in a wide range of applications. In particular, ChatGPT-3 can be used to power chatbots, virtual assistants, and other conversational interfaces. These types of systems are becoming increasingly important as more and more people use voice …

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The Rayleigh Problem (Random Flights) Is Everywhere Redux, John E. Gray, Stephen R. Addison Jan 2023

The Rayleigh Problem (Random Flights) Is Everywhere Redux, John E. Gray, Stephen R. Addison

Journal of the Arkansas Academy of Science

The phase noise problem (or Rayleigh problem) occurs in all aspects of radar. It is an effect that a radar engineer or physicist always has to take into account as part of a design or in an attempt to characterize the physics of a problem such as reverberation. Normally, the mathematical difficulties of phase noise characterization are avoided by assuming the phase noise probability distribution function (PDF) is uniformly distributed, and the Central Limit Theorem (CLT) is invoked to argue that the superposition of relatively few random components obey the CLT and hence the superposition can be treated as a …

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A New Approach To Linear Displacement Measurements Based On Hall Effect Sensors, İsmai̇l Yari̇çi̇, Yavuz Öztürk Jan 2023

A New Approach To Linear Displacement Measurements Based On Hall Effect Sensors, İsmai̇l Yari̇çi̇, Yavuz Öztürk

Turkish Journal of Electrical Engineering and Computer Sciences

Since displacement is a vital variable to be considered in many industrial applications, displacement sensing devices have been extensively studied both theoretically and experimentally. There have been also many studies on Hall effect-based displacement measurement, but for many systems linearity still remains a problem. This paper discusses different approaches to calculate the magnetic field due to a cylindrical permanent magnet and proposes a new setup geometry with 2-Hall effect sensors and a permanent magnet between them to overcome the linearity problems. Furthermore, theoretical and experimental studies of the discussed displacement sensor were presented by focusing on the linear range and …

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Business Meeting Report (Secretary's And Treasurer's Report), Academy Editors Jan 2023

Business Meeting Report (Secretary's And Treasurer's Report), Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

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An Adaptive Image Restoration Algorithm Based On Hybrid Total Variation Regularization, Cong Thang Pham, Thi Thu Thao Tran, Hung Vi Dang, Hoai Phuong Dang Jan 2023

An Adaptive Image Restoration Algorithm Based On Hybrid Total Variation Regularization, Cong Thang Pham, Thi Thu Thao Tran, Hung Vi Dang, Hoai Phuong Dang

Turkish Journal of Electrical Engineering and Computer Sciences

In imaging systems, the mixed Poisson-Gaussian noise (MPGN) model can accurately describe the noise present. Total variation (TV) regularization-based methods have been widely utilized for Poisson-Gaussian removal with edge-preserving. However, TV regularization sometimes causes staircase artifacts with piecewise constants. To overcome this issue, we propose a new model in which the regularization term is represented by a combination of total variation and high-order total variation. We study the existence and uniqueness of the minimizer for the considered model. Numerically, the minimization problem can be efficiently solved by the alternating minimization method. Furthermore, we give rigorous convergence analyses of our algorithm. …

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Deep Learning-Based Classification Of Chaotic Systems Over Phase Portraits, Sezgi̇n Kaçar, Süleyman Uzun, Burak Aricioğlu Jan 2023

Deep Learning-Based Classification Of Chaotic Systems Over Phase Portraits, Sezgi̇n Kaçar, Süleyman Uzun, Burak Aricioğlu

Turkish Journal of Electrical Engineering and Computer Sciences

This study performed a deep learning-based classification of chaotic systems over their phase portraits. To the best of the authors' knowledge, such classification studies over phase portraits have not been conducted in the literature. To that end, a dataset consisting of the phase portraits of the most known two chaotic systems, namely Lorenz and Chen, is generated for different values of the parameters, initial conditions, step size, and time length. Then, a classification with high accuracy is carried out employing transfer learning methods. The transfer learning methods used in the study are SqueezeNet, VGG-19, AlexNet, ResNet50, ResNet101, DenseNet201, ShuffleNet, and …

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A Type-2 Fuzzy Rule-Based Model For Diagnosis Of Covid-19, İhsan Şahi̇n, Erhan Akdoğan, Mehmet Emi̇n Aktan Jan 2023

A Type-2 Fuzzy Rule-Based Model For Diagnosis Of Covid-19, İhsan Şahi̇n, Erhan Akdoğan, Mehmet Emi̇n Aktan

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a type-2 fuzzy logic-based decision support system comprising clinical examination and blood test results that health professionals can use in addition to existing methods in the diagnosis of COVID-19 has been developed. The developed system consists of three fuzzy units. The first fuzzy unit produces COVID-19 positivity as a percentage according to the respiratory rate, loss of smell, and body temperature values, and the second fuzzy unit according to the C-reactive protein, lymphocyte, and D-dimer values obtained as a result of the blood tests. In the third fuzzy unit, the COVID-19 positivity risks according to the clinical …

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Transmission Network Planning For Realistic Egyptian Systems Via Encircling Prey Based Algorithms, Abdullah M. Shaheen, Ragab Elsehiemy, Mohammed Kharrich, Salah Kamel Jan 2023

Transmission Network Planning For Realistic Egyptian Systems Via Encircling Prey Based Algorithms, Abdullah M. Shaheen, Ragab Elsehiemy, Mohammed Kharrich, Salah Kamel

Turkish Journal of Electrical Engineering and Computer Sciences

Transmission network planning problem (TNPP) is one of the pertinent issues of the planning activities in power systems. It aims to optimally pick out the routs, types, and number of the new installed lines to confront the expected future loading conditions. In this line, this study proposes a new economic model to the TNPP. The aim of the model is to find the optimal transmission routes at least investment and operating costs. Three recent algorithms called grey wolf optimization algorithm (GWOA), spotted hyena optimization algorithm (SHOA) and whale optimization algorithm (WOA) are developed to solve the TNPP. The concept of …

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An Effective Hilbert-Huang Transform-Based Approach For Dynamic Eccentricity Fault Diagnosis In Double-Rotor Double-Sided Stator Structure Axial Flux Permanent Magnet Generator Under Various Load And Speed Conditions, Makan Torabi, Yousef Alinejad Beromi Jan 2023

An Effective Hilbert-Huang Transform-Based Approach For Dynamic Eccentricity Fault Diagnosis In Double-Rotor Double-Sided Stator Structure Axial Flux Permanent Magnet Generator Under Various Load And Speed Conditions, Makan Torabi, Yousef Alinejad Beromi

Turkish Journal of Electrical Engineering and Computer Sciences

Eccentricity fault in double-sided axial flux permanent magnet generator is very difficult to be detected as the fault generated variations in terminal electrical parameters are very weak and chaotic, especially at the initial stages of the fault occurrence. In addition, one of the most important problems in any fault diagnosis approach is the investigation of load and speed variation on the proposed indices. To overcome the aforementioned difficulty and problems, this paper adopts a novelty detection algorithm based on Hilbert-Huang transform (HHT) which is a time-frequency signal analysis approach based on empirical mode decomposition and the Hilbert transform. It is …

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Early Diagnosis Of Pancreatic Cancer By Machine Learning Methods Using Urine Biomarker Combinations, İrem Acer, Firat Orhan Bulucu, Semra İçer, Fatma Lati̇foğlu Jan 2023

Early Diagnosis Of Pancreatic Cancer By Machine Learning Methods Using Urine Biomarker Combinations, İrem Acer, Firat Orhan Bulucu, Semra İçer, Fatma Lati̇foğlu

Turkish Journal of Electrical Engineering and Computer Sciences

The most common type of pancreatic cancer is pancreatic ductal adenocarcinoma (PDAC), which accounts for the vast majority of pancreatic cancers. The five-year survival rate for PDAC due to late diagnosis is 9%. Early diagnosed PDAC patients survive longer than patients diagnosed at a more advanced stage. Biomarkers can play an essential role in the early detection of PDAC to assist the health professional. Machine learning and deep learning methods are used with biomarkers obtained in recent studies for diagnostic purposes. In order to increase the survival rates of PDAC patients, early diagnosis of the disease with a noninvasive test …

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Two New Mathematical Models For Two Level Electricity Network Design With Distributed Generation, Burçi̇n Çakir Erdener, Berna Dengi̇z, Zülal Güngör, İmdat Kara Jan 2023

Two New Mathematical Models For Two Level Electricity Network Design With Distributed Generation, Burçi̇n Çakir Erdener, Berna Dengi̇z, Zülal Güngör, İmdat Kara

Turkish Journal of Electrical Engineering and Computer Sciences

In the new millennium, traditional electrical power systems have undergone a significant change driven by a set of requirements arising from evolving and changing technology. Thus, fundamental changes have occurred in the way electrical energy is produced, transmitted, and distributed. This situation has revealed the need to expand existing networks or to establish new networks. The available literature revealed that particular attention to the latter one is still limited due to the complexity of the power system. The purpose of this study is to contribute to the body of literature that tries to address the gap at overall design of …

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Basismap: Sequence-Based Similarity Search For Geomagnetic Positioning, Tevfi̇k Kadioğlu, Burcu Erkmen Jan 2023

Basismap: Sequence-Based Similarity Search For Geomagnetic Positioning, Tevfi̇k Kadioğlu, Burcu Erkmen

Turkish Journal of Electrical Engineering and Computer Sciences

Indoor localization has become a popular topic with the development of location-based services (LBS) and indoor navigation systems. Beside these circumstances indoor positioning has been the focus of attention for researchers as the most important component of these applications. Many signals are used as distinguishable features for indoor positioning. RF-based Wi-Fi and BLE systems are the most popular ones and these have been preferred because of their high distinguishable feature. The use of geomagnetism, a natural signal found all over the world, has also been of interest to many researchers. Geomagnetic signals being distorted in the indoor area due to …

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The Effects Of The Dielectric Substrate Thickness And The Loss Tangent On The Absorption Spectrum: A Comprehensive Study Considering The Resonance Type, The Ground Plane Coupling, And The Characterization Setup, Umut Köse, Evren Ekmekçi̇ Jan 2023

The Effects Of The Dielectric Substrate Thickness And The Loss Tangent On The Absorption Spectrum: A Comprehensive Study Considering The Resonance Type, The Ground Plane Coupling, And The Characterization Setup, Umut Köse, Evren Ekmekçi̇

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, the effects of dielectric substrate thickness and the dielectric loss tangent on the absorption spectrum are investigated parametrically in S-band. The study has been conducted on two different absorber topologies, one is closed ring resonator (CRR) and the other is composed of a split ring resonator (SRR), to observe the effects on both LC - and dipole-type resonances. The studies on the substrate thickness have been performed both numerically and experimentally, whereas the studies on the dielectric loss tangent have been performed numerically. The results agree with the literature such that the substrate thickness has significant effects …

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Variational Autoencoder-Based Anomaly Detection In Time Series Data For Inventory Record Inaccuracy, Hali̇l Arğun, Sadetti̇n Emre Alpteki̇n Jan 2023

Variational Autoencoder-Based Anomaly Detection In Time Series Data For Inventory Record Inaccuracy, Hali̇l Arğun, Sadetti̇n Emre Alpteki̇n

Turkish Journal of Electrical Engineering and Computer Sciences

Retail companies monitor inventory stock levels regularly and manage them based on forecasted sales to sustain their market position. Inventory accuracy, defined as the difference between the warehouse stock records and the actual inventory, is critical for preventing stockouts and shortages. The root causes of inventory inaccuracy are the employee or customer theft, product damage or spoilage, and wrong shipments. In this paper, we aim at detecting inaccurate stocks of one of Turkey's largest supermarket chain using the variational autoencoder (VAE), which is an unsupervised learning method. Based on the findings, we showed that VAE is able to model the …

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Binary Text Classification Using Genetic Programming With Crossover-Based Oversampling For Imbalanced Datasets, Mona Aljero, Nazi̇fe Di̇mi̇li̇ler Jan 2023

Binary Text Classification Using Genetic Programming With Crossover-Based Oversampling For Imbalanced Datasets, Mona Aljero, Nazi̇fe Di̇mi̇li̇ler

Turkish Journal of Electrical Engineering and Computer Sciences

It is well known that classifiers trained using imbalanced datasets usually have a bias toward the majority class. In this context, classification models can present a high classification performance overall and for the majority class, even when the performance for the minority class is significantly lower. This paper presents a genetic programming (GP) model with a crossover-based oversampling technique for oversampling the imbalanced dataset for binary text classification. The aim of this study is to apply an oversampling technique to solve the imbalanced issue and improve the performance of the GP model that employed the proposed technique. The proposed technique …

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Lvq Treatment For Zero-Shot Learning, Firat İsmai̇loğlu Jan 2023

Lvq Treatment For Zero-Shot Learning, Firat İsmai̇loğlu

Turkish Journal of Electrical Engineering and Computer Sciences

In image classification, there are no labeled training instances for some classes, which are therefore called unseen classes or test classes. To classify these classes, zero-shot learning (ZSL) was developed, which typically attempts to learn a mapping from the (visual) feature space to the semantic space in which the classes are represented by a list of semantically meaningful attributes. However, the fact that this mapping is learned without using instances of the test classes affects the performance of ZSL, which is known as the domain shift problem. In this study, we propose to apply the learning vector quantization (LVQ) algorithm …

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On Evaluation Of The Indian Standard Topography Factor For Design Wind Speed On Escarpments, Abdul Haseeb Wani, Rajendra Kumar Varma, Ashok Kumar Ahuja Jan 2023

On Evaluation Of The Indian Standard Topography Factor For Design Wind Speed On Escarpments, Abdul Haseeb Wani, Rajendra Kumar Varma, Ashok Kumar Ahuja

ASEAN Journal on Science and Technology for Development

Standards on wind loads of various countries give wind loading map of respective country in which basic wind speeds are mentioned. Design wind speeds for designing buildings and other structures are evaluated by the structural designers from these basic wind speed values by incorporating many factors. One of these factors taken into consideration is for the local topography effect such as escarpments and hills. Standards on wind loads including Indian Standard give certain recommendations for the same. However, the steps involved in evaluating relevant modification factor for local topography as given in Indian Standard on Wind Loads are many. An …

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Liquid Waste Treatment For Sustainable Tapioca Industry: A Comparison Between Biogas And Liquid Sugar, Lilik Sulistyowati, Novi Andareswari, Rifqi Rahmat Hidayatullah, Nurul Amri Komarudin, Yuni Yolanda Jan 2023

Liquid Waste Treatment For Sustainable Tapioca Industry: A Comparison Between Biogas And Liquid Sugar, Lilik Sulistyowati, Novi Andareswari, Rifqi Rahmat Hidayatullah, Nurul Amri Komarudin, Yuni Yolanda

ASEAN Journal on Science and Technology for Development

There have been many studies examining the processing of tapioca wastewater. However, most studies have only researched at a laboratory scale without considering whether the treatment is appropriate. The study's purpose is to compare the processing technology of biogas and liquid sugar using technical, environmental, social, and cost-benefit analysis criteria to determine the appropriate technology to be applied. Literature study, observation, and interviews were used to determine the characteristics of each criterion. Cost-benefit analysis is calculated using the R/C Ratio. Furthermore, priority determination is carried out using the Exponential Comparison Method (MPE) using assessments from environmental and industrial experts on …

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Disintegration Evaluation Of Mudrock Fragment Through Wet-Dry Cycle By Quantitative Indices, Misbahudin Misbahudin, Dian Yesy Fatimah, Elfarino Trizani Jan 2023

Disintegration Evaluation Of Mudrock Fragment Through Wet-Dry Cycle By Quantitative Indices, Misbahudin Misbahudin, Dian Yesy Fatimah, Elfarino Trizani

ASEAN Journal on Science and Technology for Development

The disintegration of mudrock during moisture content change caused severe cases in several engineering works in Indonesia. One interesting site is Hambalang, Bogor Regency, West Java Province. The wetting and drying cycle is the easiest and fastest test to evaluate disintegration. After undergoing the process, samples of mudrocks disintegrate into smaller fragments. This paper evaluated the characteristics of the slaked material of mudrock by quantitative indices. The mudrock evaluated in this study underwent rapid disintegration in a short period, indicated by megascopic description and quantitative indices. In addition, evolutionary disintegration up to eight cycles has the same characteristics as the …

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Smoke, Air, Fire, Energy (Safe) In Rural California: Critical Reflections On An Interdisciplinary Research Collaboration, Deepti Chatti, Carisse Geronimo, Cassidy Barrientos, Jana Ganion, Malcolm Moncheur, Peter Alstone Phd, Shawn Bourque, Tanya Garcia, Tesfayohanes Yacob Jan 2023

Smoke, Air, Fire, Energy (Safe) In Rural California: Critical Reflections On An Interdisciplinary Research Collaboration, Deepti Chatti, Carisse Geronimo, Cassidy Barrientos, Jana Ganion, Malcolm Moncheur, Peter Alstone Phd, Shawn Bourque, Tanya Garcia, Tesfayohanes Yacob

Humboldt Journal of Social Relations

This article provides a synthesis of the interconnected problems of tenuous energy access, wildfires, and exposures to high air pollution in Indigenous communities in rural California through the lens of ongoing collaborative research being carried out by researchers at Cal Poly Humboldt, Schatz Energy Research Center, Karuk Department of Natural Resources, and the Blue Lake Rancheria Tribe. The collaboration is funded by the Strategic Growth Council of the state of California, and we hope is the beginning of a longer term relationship between all partners. We are an interdisciplinary team of researchers drawing on energy engineering, air pollution science, and …

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