bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep learning-based car seatbelt classifier resilient to weather conditions
Authors: Hosameldeen Osama 
Published: February 2021

Deep Learning is a very promising field in image classification. It leads to the automation of many real-world problems. Currently, Car seatbelt violation detection is done manually or partial manual. In this paper, an approach is proposed to make the seat belt detection process fully automated. To make the detection more accurate, sensors are set to detect the weather condition. When spe-cific weather condition is detected, the corresponding pre-trained model is assigned the detection task. In other words, a research is conducted to check the possibility of dividing the big-sized deep-learning model - that can classify car seatbelt, into sub-models each one can detect specific weather condition. Accordingly, a single specialized model is used for each weather condition, Deep convolutional neural network (CNN) model AlexNet is used in the detection/classification process. The proposed system is sensor based AlexNet (S-AlexNet). Results support our hypothesis that â€œUsing single model for each weather condition is better than gen-eral model that support all weather conditionsâ€. On average, previous approaches that trained single model for all weather condi-tions have accuracy less than 90%. The proposed S-AlexNet approach successfully reaches 90+% accuracy.Â Â
Influence of hydrated lime and bitumen on different lateritic soil samples: case study of Sheda-Abuja, Nigeria
Authors: Ehizemhen C Igibah , Lucia O Agashua , Abubakar A Sadiq 
Published: February 2021

This research was performed so as to appraise strength and properties of lateritic soils enriched with hydrated lime and bitumen as construction materials. Soil samplings S1, S2, S3, S4, and S5 was collected from Dualization of Sheda - Abaji, Abuja, F.C.T, Ni-geria and augment with 0, 3, 6, 9, and 12% of hydrated lime and bitumen. Laboratory tests like Consistency (Atterberg limit), California Bearing Ratio (C.B.R), compaction and sieve scrutiny were done on the soil sampling. The study exposed that construc-tive effects were gotten via the addition of hydrated lime and bitumen in order to augment the strength of weak soils. All the 5 samplings have C.B.R values of 48.0% with hydrated lime as additives, whereas bitumen additive is 40.60%. Introduction of addi-tives enriched the soil samplings from weak materials to an excellent base material with C.B.R values above 40%. Hence, aug-mentation of lateritic soil samplings from the studied locality could be perform efficiently by using lime.Â Â
Dynamic modeling and simulation of 10hp induction motor driving a variable load
Authors: Stephen Ejiofor Oti , Candidus Eya , Stephen Agada , Ogbuefi Uche , Peter Ugwuja 
Published: February 2021

This work presents ideally the behavioral characteristics of induction motor (IM) when subjected to different loading conditions. The task is achieved via mathematical modeling of the process using the Simulink tool of the Matlab. Dynamic model is generally used to study the steady state and transient behavior of induction motor. Here, Clarke and Parkâ€™s transformation of stator and rotor parameters on the synchronously rotating reference frame is applied to the developed mathematical model of the induction motor. First, the differential equations of voltages, currents and flux linkages between the stationary stator and rotating rotor are developed, followed by the mechanical equation of torque and speed. Thereafter the mathematical model developed with the help of the software is generally used to study the variation in parameters value on the dynamic performance of the induction motor as variable load is driven. The obtained simulated results apart from the exhibited performances still suggests that the synchronously rotating reference frame theory is actually a shrewd process to validate the dynamic behavior of the induction motor.Â Â Â
In situ diagnostic assessment for the infiltration rate of the northern Gaza wastewater infiltration basins
Authors: Abualtayef Mazen , Abushbak Thaer , Abu Alnoor Ahmed , Al-Najjar Hassan 
Published: February 2021

The Northern Gaza Emergency Sewage Treatment (NGEST) is addressed as a promising water management intervention strategy to maintain the sustainability of groundwater aquifer in the Gaza Strip. This study assesses the current operational status of the north-ern Gaza wastewater infiltration basins located at NGEST project. In situ diagnostic assessment was performed at two spots (A) and (B) located inside the basin (3). The results of sieve analysis and bulk density indicate that the soil at the spot (B) is finer than of spot (A) where the contents of the fine material and bulk densities were 13% and 1544 kg/m3 at the spot (A) and 23.7% and 1544 kg/m3 at the spot (B). In terms of the infiltration capacity, the nature of soil at the spot (A) exhibits better initial and saturated infil-tration rate in comparison to the soil at the spot (B), where the initial and saturated infiltration rates were 2.88 and 0.43 for spot (A) and 0.29 and 1.73 meters per day for spot (B), respectively. Thus, the diagnostic assessment for the northern Gaza wastewater infil-tration basins indicates that the soil classification is silty sand and the infiltration rates range between about 3 and 0.3 meters per day.Â Â
Servqual: strategies to improve university library services
Authors: Hidayat sutawidjaya Ahmad , Christina Nawangsari Lenny 
Published: February 2021

Over the past two decades, library development in both the functional and physical fields is inseparable from the change in the paradigm of libraries and librarians towards libraries. Increasing competitiveness in university library services is carried out through several aspects; one of which is through the improvement of facilities or infrastructure, products or services produced or personnel responsible for the product to provide customer satisfaction. The purpose of this research is to analysis the attributes of library services and performance of service quality attribute at Wuhan University of China and University of Mercu Buana. The research method used in this study is qualitative and quantitative research with a case study approach and Service Quality method. The population of this study were visitors at the Wuhan University and Mercu Buana University with sample of 100 peoples. As a result of this research libraries of the University of Mercu Buana priority should be given to the improvement are available room, convenience facilities, the availability of the closet, book collection added, Internet services by providing information search/catalogue and appearance of the staff are the dimensions of the material (X1). Reliability variable (X2) is formed with four level indicators expectation was perceived as very high by respondents. The response variable (X3) level expectations is perceived as very high by respondents. Variable reliability (X4), the answers respondents was perceived as very high by respondents. The empathy (X5) variable is very high by respondents, as seen from the responses of the average 4.65 found between a score of 4 (A) and a score of 5 (SA).Â Â
Self-repairing polyethylene fiber-reinforced-concrete with bacillus subtilis bacteria a review
Authors: G. Ghoneim Amr , A. Hassan Hilal , A. Aboul-Nour Louay 
Published: February 2021

Fibers and bacterial additives in concrete have achieved significant success as a construction material. This paper presents the field of concrete self-repairing by introducing both Bacillus subtilis bacteria and polyethylene fiber as a dual-components. The main research goal is to reveal the principles of concrete self-repairing. At first, the research investigates the fiber-reinforced-concrete behavior, the concrete self-repairing process with the Bacillus subtilis bacteria for forming bacterial-concrete. And then, the study highlights the damage-repairing numerical simulation of fiber-reinforced-bacterial-concrete. The research shows the bacterial-concrete benefits to durability and mechanical properties besides to the polyethylene fiber assistance to enhance post-cracking tensile resistance and the pre-peak elastic modulus of concrete. The novelty of the fiber-reinforced-bacterial-concrete is the matrix combined improvement of both basic material properties and the post-cracking deflection capacity.Â Â
Digital Campus
Authors: Nur Ain Basri Siti , Ahmad Faridahanim , Izie Adiana Abidin Nur , Baba Ishak , Harun Hasnida , Hazren Abdul Hamid Nor , Awang Mariah , Ashraf Abdul Rahman Muhammad , Kamaruzaman Musa Muhammad , Hamidon Nuramidah , Ahmad Suhaida , Ahmad Suhaila , Ahmad Suhaila , Azhan Ishak Shahrul 
Published: February 2021

Mobile is everywhere, changing the way we work, play, socialize, and learn. Students nowadays are immersed in a digital culture driven by mobile consumer experiences across a range of devices, from wearable to phones, tablets and virtual-reality platforms. Digital Campus is a website application that is in University Tun Hussien Onn Pagoh Campus. The purpose of this website is to search all locations located in Pagoh Campus such as laboratory, admin office, dean office, cafe and classroom. Digital campus website is embedded with Open Street Map. It is open databased licensing and it is a collaborative mapping. This website is developed using Joomla 3.8.13 with PHP version, 5.6.25. There are 204 locations were plotted using this link https://digitalcampus.uthm.edu.my/index.php. Digital campus based on Open Street Map can helps students, admin staff, lectures and visitors to find location in very easy way by using digital platform. Thus, this application facilities can optimization of administration work and promote university management to higher performances.Â Â
Performance evaluation of PI and PI-fuzzy logic controller FPGA based permanent magnet synchronous motor drive
Authors: Murmu Rajendra , Kumar Singh Arvind 
Published: February 2021

This paper depicts an experimental validation and simulation for speed control under load and no load conditions. It delineates the detail study of a closed loop vector controlled permanent magnet synchronous motor drive. This system consists of two loops for smooth speed tracking as well as reduced torque undulation. PMSM drives facilitate better dynamic responses during both steady state and dynamic conditions by monitoring the component of torque current. The resistive loads are varied and resultant speed and torque are studied. Experimental work has been performed on PMSM drives under different conditions and results are compared with conventional PI and Fuzzy logic controller.Â Â
Design and implementation of accurate frequency estimator depend on deep learning
Authors: Saber Mohamed , M.El-Kenawy El-sayed 
Published: February 2021

An Accurate, efficient, and stable system to estimate the unknown input frequency of a sinusoidal signal is presented. The proposed design solves the main drawback of the existing phase-based estimator which called a derivative estimator depend on deep learning. These limitations are the inability to estimate low frequencies and the large estimation errors for the frequencies near the Nyquist rate. A Brief mathematical analysis in discrete-time of the proposed system is presented. Proposed estimator performance when the input is a single sinusoid, multiple sinusoids in the presence of additive white Gaussian noise (AWGN) are provided. The accuracy of the proposed esti-mator is the result of dividing the dynamic range of estimation to three regions (low frequencies, middle frequencies, high frequencies) and specify a different formula to calculate the estimated frequency in each region. The boundaries of each region are determined by using a Grey wolf optimizer (GWO) which training bidirectional recurrent neural networks (BRNN) to select the best weights for the estimated frequency. The simulation results ensure the accuracy and validity of the proposed estimator compared to the traditional one. The hardware implementation of enhanced estimator using field-programmable gate array (FPGA), consumed 265 mW, and worked at 375 MHz.Â Â
The effect of project owners, plan-developers and characteristics of projects on airport building performance
Authors: Irfansyah Reiza , Susetyo Budi , . Syafwandi 
Published: February 2021

The concept of Design and Build quickly becomes the preferred form of project completion. With this concept, it is possible for a project to be completed more quickly, with quality and costs according to plan. However, based on the results of research on construction projects in Jakarta, there are many that do not meet expectations.This study aims to determine the relationship of project owner factors, planner-builder factors, and project characteristics on airport design projects. Based on PLS SEM analysis of 65 respondents, it was found that the factor of the project owner has a positive but not significant effect on the performance of the Airport project, the builder planner has a negative but not significant effect on the performance of the Airport project, while the project characteristics factor has a positive and significant effect on project performance Airport.The results of this study provide confirmation and direction in the work of design projects in the future, especially for design projects at the airport.Â Â Â
Acoustic data classification using random forest algorithm and feed forward neural network
Authors: Najdet Nasret Coran Ali , Hayri Sever Prof Dr. , Murad Ahmed Mohammed Amin Dr. 
Published: February 2021

Speaker identification systems are designed to recognize the speaker or set of speakers according to their acoustic analysis. Many approach-es are made to perform the acoustic analysis in the speech signal, the general description of those systems is time and frequency domain analysis. In this paper, acoustic information is extracted from the speech signals using MFCC and Fundamental Frequency methods combi-nation. The results are classified using two different algorithms such as Random-forest and Feed Forward Neural Network. The FFNN classifier integration with the acoustic model resulted a recognition accuracy of 91.4 %. The CMU ARCTIC Database is referred in this work.Â Â
On COVID-19 outburst and smart city/urban system connection: worldwide sharing of data principles with the collaboration of IoT devices and AI to help urban healthiness supervision and monitoring
Authors: Jabbar Jahangir , Mehmood Hussain , Hafeez Umaima , Malik Hassaan , Salahuddin Humayun 
Published: February 2021

Every one of us knows about the rise of Coronavirus (COVID-19) from Wuhan (China) and its effects into nearby states and further motherlands, increased domestic and worldwide methods are being occupied to contain the outburst. In terms of Economic and Social point of view, it directly disturbs the metropolitan markets on a high level by engaging all the capitals and towns in a lock-down situation. Itâ€™s also highlighted if this situation increases in different countries then it can lead in a direction to world-wide health disaster and in many accommodations as well. Be that as it may, while compelling conventions concerning the sharing of good information is underscored, urban information, then again, explicitly identifying with urban well-being and safe city ideas, is still seen from a patriot point of view as exclusively profiting a country's economy and its monetary and political impact. This article will explore the new and better universal understandings and also shows how smart city/urban systems be able to improve uniform procedures for bigger data sharing in the time of tragedies.Â Â
Smart management and control system for liquid radioactive waste in hospitals using neural network techniques
Authors: S. Ahmed Khaled , F. Sherif Fayroz 
Published: February 2021

In tertiary hospitals where the nuclear medicine services have been introduced, the radioactive materials used in diagnosis and / or treatment need to be handled. The hospital design and medical planning should consider such these materials and their policy for treatment. The nuclear wastes have been divided into solid and liquid based on the used materials and for their half-life times which start from few minutes till reaching years. In our study, the most common radioactive liquid materials (wastes) have been treated by smart system. The system will detect the material of the waste via nuclear sensors and based on its HLT (activities), it will be distributed in two shielded storage tanks classified based on capacity then to the sewage treatment plant (STP) of the hospital after keeping for required times. The location and capacity of these tanks together with their monitoring and control system should be considered in design stage which determines the treatment processes. By applying our proposed technique on two hospitals, the results have reduced the storage tank capacity by 87% (reduction) and space area leading to cost reduction by 72% keeping the maximum level of safety.Â Â
Replenishment policy for an economic production quantity model considering rework and multiple shipments
Authors: Ghani Usman , Hayat Mubashir 
Published: February 2021

Determining the optimal replenishment lot size and shipment policy for a production setup has been of greater interest during the last few years. This paper derives the optimal replenishment lot size and shipment policy for an Economic Production Quantity (EPQ) model with rework of defective items. However, in a real life situation, multi-shipment policy is used in lieu of continuous issuing policy and generation of defective items is inevitable. The proposed research assume that all imperfect quality items are reworked to perfect quality items and then all perfect quality items are delivered to the customers. Mathematical modeling is used in this study and the long-run average productionâ€“inventory-delivery cost function is derived. Convexity of the cost function is proved by using the Hessian matrix equations. The closed-form optimal replenishment lot size and optimal number of shipments that minimize the long-run average costs for such an EPQ model are derived.Â Â
Rouge wave solutions of a nonlinear pseudo-parabolic physical model through the advance exponential expansion method
Authors: Habibul Bashar Md. , Mamunur Roshid Md. 
Published: February 2021

In this work, we decide the proliferation of nonlinear voyaging wave answers for the dominant nonlinear pseudo-parabolic physical model through the (1+1)-dimensional Oskolkov equation. With the assistance of the advance -expansion strategy compilation of disguise adaptation an innovative version of interacting analytical solutions regarding, hyperbolic and trigonometric function with some refreshing parameters. We analyze the behavior of these solutions of Oskolkov equations for the specific values of the reared parameters such as rouge wave, multi solution, breather wave bell and kink shape etc. The dynamics nonlinear wave solution is examined and demonstrated in 3-D and 2-D plots with specific values of the perplexing parameters are plotted. The advance -expansion method solid treatment for looking through fundamental nonlinear waves that advance assortment of dynamic models emerges in engineering fields.Â Â
Erratum for “Walk This Way”
Authors: Anthropology Cultural 
Published: February 2021

Meneley, Anne. 2019. “Walk This Way: Fitbit and Other Kinds of Walking in Palestine.” Cultural Anthropology 34, no. 1: 130–54. https://doi.org/10.14506/ca34.1.11.
The author would like to make the following correction to the published article:
On p. 151, in the references section, the title of the article by Mona Hajjar Halaby has been corrected to “The Proverbial Shatha in Early Twentieth-Century Jerusalem.”
Graded I-second submodules
Authors: Bataineh Malik , Abu-Dawwas Rashid 
Published: February 2021

Abstract
Let G be a group with identity e, R be a G-graded commutative ring with a nonzero unity 1, I be a graded ideal of R, and M be a G-graded R-module. In this article, we introduce the concept of graded I-second submodules of M as a generalization of graded second submodules of M and achieve some relevant outcomes.
A pathway to desired functionalities in vertically aligned nanocomposites and related architectures
Authors: Chen Aiping , Jia Quanxi 
Published: February 2021

AbstractEpitaxial vertically aligned nanocomposites (VANs) and their related architectures have shown many intriguing features that are not available from conventional two-dimensional planar multilayers and heterostructures. The ability to control constituent, interface, microstructure, strain, and defects based on VANs has enabled the multiple degrees of freedom to manipulate the optical, magnetic, electrochemical, electronic, ionic, and superconducting properties for specific applications. This field has rapidly expanded from the interest in oxide:oxide to oxide:metal, metal:nitride and nitride:nitride systems. To achieve unparalleled properties of the materials, three-dimensional super-nanocomposites based on a hybrid of VAN and multilayer architectures have been recently explored as well. The challenges and opportunities of VAN films are also discussed in this article.
Modeling of Empirical Transfer Functions with 3D Velocity Structure
Authors: Hu Zhifeng , Roten Daniel , Olsen Kim B. , Day Steven M. 
Published: February 2021

ABSTRACTEmpirical transfer functions (ETFs) between seismic records observed at the surface and depth represent a powerful tool to estimate site effects for earthquake hazard analysis. However, conventional modeling of site amplification, with assumptions of horizontally polarized shear waves propagating vertically through 1D layered homogeneous media, often poorly predicts the ETFs, particularly, in which large lateral variations of velocity are present. Here, we test whether more accurate site effects can be obtained from theoretical transfer functions (TTFs) extracted from physics-based simulations that naturally incorporate the complex material properties. We select two well-documented downhole sites (the KiK-net site TKCH05 in Japan and the Garner Valley site, Garner Valley Downhole Array, in southern California) for our study. The 3D subsurface geometry at the two sites is estimated by means of the surface topography near the sites and information from the shear-wave profiles obtained from borehole logs. By comparing the TTFs to ETFs at the selected sites, we show how simulations using the calibrated 3D models can significantly improve site amplification estimates as compared to 1D model predictions. The primary reason for this improvement in 3D models is redirection of scattering from vertically propagating to more realistic obliquely propagating waves, which alleviates artificial amplification at nodes in the vertical-incidence response of corresponding 1D approximations, resulting in improvement of site effect estimation. The results demonstrate the importance of reliable calibration of subsurface structure and material properties in site response studies.