bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengenalan Kesehatan Reproduksi Anak Usia Dini Melalui Kegiatan Bina Keluarga Balita di Kelurahan Betet Kota Kediri
Authors: Mulazimah Mulazimah , Yanti Entin Srihadi , Wulaningtyas Eko Sri , Noerani Ardina Rezky , Bale Emerensiana , Sari Ririn Ita Purnama , Juhana Dewi
Published: January 2024

Masa usia dini merupakan periode penting bagi perkembangan anak. Peran orang tua sangat penting, karena orang tua yang telah merawat, membimbing, dan memberikan berbagai rangsangan untuk tumbuh kembang anak secara optimal. Metode Pengabdian masyarakat ini berupa penyuluhan dan demontrasi melalui pendekatan Partisipatif Action Research (PAR). Peserta kegiatan penyuluhan sebanyak 25 orang. Hasil kegiatan penyuluhan bahwa pengetahuan peserta paling baik terkait cara pengenalan kesehatan reproduksi anak usía dini yaitu sebesar 92% dan pengetahuan peserta paling kurang tentang pengertian kesehatan reproduksi anak usía dini sebesar 80%. Hasil pelaksanaan program pendidikan Kesehatan reproduksi anak usía dini dalam meningkatkan komunikasi orang tua pada pendidikan anak dirumah yaitu orang tua dapat memiliki ketrampilan komunikasi yang baik dengan cara memiliki tingkat pemahaman yang baik tentang pentingnya pendidikan kesehatan reproduksi bagi anak usía dini yang disesuaikan dengan tumbuh kembang dan pola asuh anak.
DESAIN ALAT PENGISI MINYAK PELUMAS KOMPRESOR PADA LOKOMOTIF
Authors: Utomo Ilham , Sanjaya Atmaja Dadang , Diru Infanther Wahyuda
Published: January 2024

Kompresor merupakan komponen penting pada lokomotif. Kompresor berfungsi memompa udara menuju main reservoir (tangki udara utama). Udara yang telah dimampatkan akan digunakan untuk melayani peralatan – peralatan seperti pengereman, suling dan pemasir. Kompresor memerlukan penggantian minyak pelumas secara rutin. Apabila pelumas yang telah memasuki masa pergantian tidak diganti. Maka akan timbul potensi kerusakan komponen karena sudah terkontaminasi gram halus atau partikel yang dapat merusak komponen. Tujuan penelitian ini adalah merancang alat pengisi minyak pelumas kompresor yang cepat serta mudah dalam pengoperasian. Penelitian ini difokuskan pada perancangan alat pengisi minyak pelumas kompresor pada lokomotif. Simulasi aplikasi menunjukan rancangan konstruksi rangka aman karena memiliki faktor keamanan minimal sebesar 18,6 yang mana alat dinyatakan aman karena safety factor minimum adalah 1,25-2. Waktu pengisian menjadi lebih cepat serta jumlah tenaga kerja pada pengisian minyak pelumas kompresor berkurang. Keamanan dalam pengisian meningkat dan menjadi minim tumpahan minyak atau ceceran minyak
Pemanfaatan Teknologi Informasi Dalam Pembelajaran Daring
Authors: Siddik Mohd. , Nasution Akmal , Lubis Adi Prijuna
Published: January 2024

Kegiatan PKM (pengabdian kepada masyarakat) ini berjudul “Workshop Pemanfaatan Teknologi IT Dalam Pembelajaran Daring” bertujuan untuk memberikan pemahaman Kepada Bapak/Ibu Guru Brainfor Islamic School Jl. Pelita No.8k, Teladan, Kec. Kota Kisaran Timur, Kabupaten Asahan dalam pemanfaatan teknologi IT dalam pembelajaran yang dilakukan dengan daring. Adapun Metode pelaksanaan pengabdian yang digunakan pada kegiatan ini adalah deskriptif dan praktik langsung. Pemateri melakukan penjelasan-penjelasan tentang pemanfaatan IT dengan aplikasi seperti Google Classroom, Zoom, dan Edpuzzle yang nantinya bisa digunakan dalam melakukan pembelajaran secara daring, kemudian menjelaskan bagaimana cara penggunaan teknologi-teknologi tersebut, selanjutnya Bapak/Ibu Guru melakukan kegiatan workshop dan mempraktikan kembali dari materi yang diberikan pada whorkshop praktikum. Point-point penting yang akan dijelaskan dan dipraktikkan dalam kegiatan ini, ialah menjelaskan  aplikasi dan cara menggunakannya yang disertai dengan peraktik secara langsung dalam menggunakan aplikasi-aplikasi tersebut.
Literasi Digital untuk Siswa MIN 5 Kota Padang
Authors: Pohan Nurmaliana , Rasmita  , Kurnia AR Harlan
Published: January 2024

Literasi digital menjadi penting di era teknologi informasi dan komunikasi yang terus  berkembang. Siswa-siswa MIN 5 Kota Padang perlu dibekali dengan pengetahuan dan keterampilan literasi digital agar dapat menghadapi tantangan dan memanfaatkan peluang yang ditawarkan oleh dunia digital.Tujuan dari pegabdian masyarakat ini adalah untuk mendeskripsikan pelaksanaan   keterampilan digital pada siswa MIN 5  Kota Padang.Metode yang digunakan adalah wawancara dan observasi terhadap siswa di MIN 5 kota Padang dan pendekatan partisipatif yang melibatkan guru dan  siswa. Dalam men kan literasi digital, guru berperan sebagai fasilitator, memberikan pengetahuan dan keterampilan kepada siswa. Mereka menggunakan pendekatan interaktif dan menggabungkan konten teoretis dengan studi kasus dunia nyata.  literasi digital di MIN 5 Kota Padang membantu siswa dalam memahami pentingnya menjaga privasi dan keamanan dalam berinternet, mengidentifikasi informasi yang valid dan berkualitas, serta mengembangkan kreativitas dan kolaborasi melalui media digital. Melalui   ini, siswa-siswa MIN 5 Kota Padang diharapkan dapat menjadi pengguna digital yang cerdas, kritis, dan bertanggung jawab. Singkatnya,   literasi digital di MIN 5 kota Padang merupakan langkah penting bagi siswa untuk memperoleh pengetahuan dan keterampilan yang diperlukan untuk berpartisipasi aktif dalam masyarakat digital. Melalui upaya ini, kami berharap dapat memberdayakan siswa untuk menggunakan teknologi secara bijak dan bertanggung jawab, serta mempersiapkan mereka menghadapi tantangan dan peluang era digital yang terus berkembang.
Edukasi Pengeluaran Fisik Persediaan Pupuk Secara Sistem FIFO di PT Kalimantan Hamparan Sawit
Authors: Situmorang Frenky , Situmorang Irvan Rolyesh
Published: January 2024

Pelaksanaan kegiatan pengabdian masyarakat ini bertujuan untuk memberikan edukasi tetang pentingnya pengeluaran fisik pupuk secara system FIFO. Proses pengadaan pupuk di PT. Kalimantan Hamparan Sawit (PT. KHS) sendiri dilakukan sesuai rekomendasi pemupukan dari konsultan pemupukan atau manajemen sendiri. Proses penerimaan pupuk di Kebun dilakukan oleh staff kebun dan karyawan petugas gudang. Pengeluaran dan pencatatan pupuk di gudang juga dilakukan oleh staff dan karyawan yang dipercayakan oleh manajemen. Adapun permasalahan yang terjadi di PT.KHS adalah nilai persediaan pupuk yang tidak dapat dihitung, dan proses pengeluaran persediaan pupuk yang sangat lama. Pengeluaran secara FIFO adalah berpegang pada asumsi bahwa barang yang dibeli terlebih dahulu akan keluar dari gudang terlebih dahulu, sehingga setiap barang masuk ke gudang pertama sekali maka barang tersebutlah yang akan dikeluarga dari gudang jika dilakukan permintaan persediaan pupuk dari Gudang. Persediaan yang dilakukan dengan system FIFO agar dapat memaksimalkan pemakaian asset perusahaan dalam bentuk persediaan pupuk supaya efektif dan efisien serta menghindari tindak kecurangan serta meminimalkan penyusutan persediaan pupuk.
Novel Comparative Study of Covid-19 Detection from X-ray and CT Scan Images Using CNN and MLP Neural Networks
Authors: SOUAAD Belhia , SOUHA Aljahmani , TYEB Bahram , REDA Adjoudj
Published: January 2024

The coronavirus has caused the deaths of millions of people and has endangered the entire healthcare system. In order to count positive cases and stop the disease from spreading, Rapid clinical results may prevent the COVID-19 from spreading and help medical professionals treat patients while working under challenging circumstances.. Normal disease diagnosis using a laboratory test requires equipment and takes some time with the use of X-ray and chest CT Scan images, artificial intelligence techniques are extensively used to categorize the COVID-19. In this study we present an automatic detection approach for COVID-19 infection based on Chest CT and X-ray images using a Multilayer Perceptron (MLP) Neurons Network and a Convolutional Neural Network (CNN). The two models are evaluated in two classes, COVID-19 and normal images, for detection by Chest X-ray images we obtained 95,7% accuracy using MLP model and 90% accuracy using CNN model. For detection by Chest CT image we obtained, 80,60 % accuracy using the MLP model and 88,49 % accuracy using the CNN. The experimental results indicate that the proposed approach can achieve high accuracy in detecting COVID-19 from X-ray images, demonstrating the potential of using machine learning techniques in medical diagnosis.
Evaluation of the Seismic Response of Reinforced Concrete (RC) Buildings Considering Soil-Structure-Interaction Effects
Authors: BRAHMA Adnane , BENELDJOUZI Mohamed , HADID Mohamed , REMKI Mustapha
Published: January 2024

The dynamic response of the structure is influenced by soil-structure interaction (SSI), and is distinct from the fixed-base one. When stiff structures are supported by soft to very soft soil, SSI has a substantial effect. This work intends to investigate the effects of SSI using various estimation techniques in order to quantify the foundation damping effect on the response of reinforced concrete (RC) buildings. Generalized and completely viscous damping formulas were utilized to estimate the damping of the soil-foundation system. The investigated structures are 4, 8, and 12-story RC buildings built on very soft soil in a high seismic zone. In comparison to the fixed base condition, the study demonstrated an increase in the natural period, damping of the system, and a decrease in base shear. The study's response parameters are compared to those obtained in accordance with ASCE7-16 code provisions.
Numerical Study of the Thermal and Hydraulic Characteristics of the SiO2–Water Nanofluid through a Backward-Facing Step
Authors: BENCHABI Rahima , LANANI Ahsene
Published: January 2024

The work of this paper is devoted to the two-dimensional numerical investigation of the turbulent forced convection through backward-facing step. Two cases are taken into account. For the first, the bottom wall is smooth; but for the second case, it is corrugated with a triangular base containing ten corrugations. A uniform heat flux is imposed on the bottom wall. A flow of a nanofluid consisting of silicon dioxide SiO2 nanoparticles dispersed in a base fluid (water) flows through this step.The flow equations were discretized by the finite volume method. For modeling turbulence, the K-ɛ-RNG model was applied to analyze Reynolds number effect, the volume fraction and the size of the particle. Numerical simulations were conducted for various Reynolds between 10,000 and 40,000; volume fractions of nanoparticles which vary from 0 to 5% and particle diameter dp equal to 30; 50 and 70 nm. We noted that the obtained findings are in good conformity with those of the literature.
Effect of Slag on the Porosity and Microstructure of HPC Reinforced with Hybrid Steel Fiber
Authors: BOUTIBA Aldjia , CHAID Rabah , MOLEZ Laurent
Published: January 2024

Due to their structural and economic performance, high performance metal fiber concretes are increasingly used in construction, but with the addition of metal fibers, workability decreases as the amount of fibers added increases. In order to improve workability, a larger quantity of fines should be used than for ordinary concrete. The use of granulated slag reduces the amount of clinker needed to make cement. It is considered that granulated slag improves the workability of concrete. According to Manai, this is due to the very low rates of water adsorption by the granulated slag grains at the start of mixing. Also, the addition of granulated slag has a positive effect on the porosity, but also on the microstructure of the hydrates. These two characteristics are factors determining the compressive strength and durability of the cement paste. The aim of this study is to define the effect of blast furnace slag on the porosity and microstructure of high performance fibre-reinforced concrete. The results of SEM and DRX observation of the microstructure of the concrete samples show that the addition of ultra-fine granulated slag resulted in a relative improvement in porosity and microstructure.
Tensile Property of Carbon Reinforced Epoxy Composites for Different Directions
Authors: SELEK Selahettin , SAHIN Yusuf
Published: January 2024

Due to higher chemical stability, higher strength/stiffness, lower density, and good corrosion resistance, carbon fiber-reinforced polymeric composites (CFRPs) have been increased numbers of areas such as aircraft industry, automotive industry, ship making and packing industry, turbines, compressors, wind blades besides implant applications. Epoxy based composites are developed using carbon fiber reinforcements by vacuum controlled resin transfer (VARTM) molding method by Twill carbon fiber [K3T] with 200 gr and Plain carbon fiber [K3P] with 200 gr. Composite plates are produced in the dimension of 500 mm x 500 mm with 0.8 mm thickness. According to the ASTM D3039, standard test samples are cut with CNC machine. Tensile tests are conducted at three different fiber directions like 00-450- 90o, respectively. Their mechanical properties are determined. Experimental results indicated that fiber direction significantly affected the tensile behavior of tested samples. Average tensile strength of CFRPs was obtained around 470 MPa for 0 degree to x-axis, and testing lasted about 44 s. For 90o direction, tensile strength of carbon fiber composites reached to 520 MPa, which is slightly higher than the previous one while trial period was around 50 s. For 45o tested samples, a completely different behavior was observed because stress-strain curve showed the elastic-plastic behavior. Its tensile strength measured was about 120 MPa average value while the trial lasted about 145 s.
TRIAC Based Isolated AC Load Drive Equivalent Circuit Design of Solid-State Relay
Authors: USLU-OZKUCUK Gonca
Published: January 2024

Electronic main boards generally provide the supply and control functions of a system. All electronic main boards include inputs and outputs and are designed according to the design requirements. In this study, a safe and low-cost switching mode power supply (SMPS) board is designed using a flyback converter topology to drive the AC and DC outputs. The triode for alternating current (TRIAC)-based safe and low-cost main board includes a flyback configured transformer with additional winding for driving the TRIAC as an AC output switch in noise immune quadrants II and III. TRIAC is used to switch AC outputs instead of a relay, and the isolation distances of the safety criteria are provided by an optocoupler. In this way, the relay usage is over, and one TRIAC and one optocoupler do the same work that is done by one relay. In this way, the cost of the AC output switch decreases. In addition, the number of AC switches covering the area on the printed-circuit board (PCB) of the mainboard decreases. The flyback topology is designed with half-wave rectified and the transformer is designed with extra winding for producing negative voltage with respect to primer reference for providing negative gate current of TRIAC. TRIAC-based AC output switched, safe, and low-cost main boards can be used for white good main boards, automation (PLC) applications, and automotive electronic control systems. This study provides cost-effective solutions in these areas.
An Adapted Technology Acceptance Model (TAM 5) Framework to Enhance User Acceptance and Experience
Authors: ARMOUTI Motasem , ALHAJHASSAN Suhair , ALSAMARA Khalid
Published: January 2024

In the rapidly evolving technological landscape, many companies invest in developing solutions that often fail to gain user acceptance. Understanding the reasons behind these failures is crucial, thus various iterations of the Technology Acceptance Model (TAM) have been introduced namely: TAM, TAM 2, TAM 3, and TAM 4 IE. Applying these models has shed light on a significant portion of the factors influencing technology acceptance. Nevertheless, it suggests that numerous other factors remain unexplored and need further consideration. This research proposes the Technology Acceptance Model 5 (TAM 5) as an advanced version with additional dimensions and factors to further investigate, aiming to enhance technology acceptance. TAM 5 includes three primary dimensions: First, applying Hybrid Agile-Waterfall software development approach, merging the strengths of both methodologies, to enhance the development process and user satisfaction; Second, applying Hybrid Work Settings of Working from Home (WFH) and Working from Office (WFO), enhancing team collaboration and problem-solving, thereby facilitating technology acceptance; and finally, consideration of Cultural factors, Social customs and traditions, and Time zone differences (CST), all of which may influence technology acceptance. To assess the effectiveness of TAM 5, a questionnaire designed and validated by experts was administered to respondents in the software industry, including professionals from various roles and experience levels. The results were analyzed using multiple regression, and the weights indicate that applying the Hybrid Agile-Waterfall development approach and the Hybrid Work Settings had a significant positive impact on technology acceptance with β values of 0.333 and 0.344 respectively. Cultural factors and traditions had a significant negative influence on technology acceptance with β value of -0.848, while the impact of time zone differences was found to be insignificant with a negligible β value. In conclusion, TAM 5 reveals key dimensions that impact technology acceptance rates, providing valuable insights for businesses and researchers to better understand and address the challenges related to user acceptance of technology in contemporary society.
CFD Investigation of Shell and Tube Heat Exchanger: Impact of Various Tube Bundle Combinations on Heat Transfer Coefficient and Pressure Drop
Authors: SAHRANE Sara , NIOU Slimane
Published: January 2024

Shell and tube heat exchangers play a crucial role in various industries, including chemical processing, oil and gas, power generation, and HVAC systems. These exchangers are widely used for transferring heat between two fluids while maintaining their separation. The design of a shell and tube heat exchanger consists of a bundle of tubes enclosed within a larger shell. The hot fluid flows through the tubes, while the cold fluid circulates around them in the shell, facilitating efficient heat transfer and pressure drop of the system. The performance of a shell and tube heat exchanger is influenced by various factors, including the configuration of the tube bundle. The choice of different tube bundle combinations can significantly impact the overall performance of the heat exchanger. In this paper, a numerical study is conducted to examine the effects of two combination of circular and square tube bundle with the simple arrangement: i) circular, ii) square, on a shell and tube heat exchanger. COMSOL Multiphysics is employed to model and simulate this heat exchanger under various mass flow rates. The result shown that the combined geometry heat exchanger exhibits the highest overall heat transfer coefficient compared to heat exchangers with single arrangements. The pressure drop on the tube and shell side was also studied for all cases of heat exchangers. The placement of circular tubes in the center and near the shell has a significant effect on heat transfer and pressure losses. It has been demonstrated that the tubes located at the ends of the shell have a much greater impact on heat transfer compared to the tubes positioned in the center.
Optimization of Energy Consumption of the Debutanizer Column, Using Genetic Algorithm
Authors: BRAHIM Ahmed Ould , ABDERAFI Souad
Published: January 2024

In the light of the emissions associated with fossil fuel combustion and their associated health and environmental impacts, natural gas is becoming increasingly attractive when compared with other fuels. The separation of natural gas liquids (NGL) in gas processing is energy-intensive, which is performed by a series of column among them the debutanizer column. This latter is used to separates C4 cuts and lighter components from NGL, typically gasoline, requiring modeling and optimization to reduce energy consumption. This work presents a rigorous methodology for modeling and optimization energy consumption of debutanizer column. This methodology is to develop a statistical model that will be used to test the variation of the energy consumed by the process, depending on columns parameters that have a great influence on this consumption. An experimental design was implemented and the data required for modeling were obtained by numerical simulations studies of debutanizer column, basing on Peng-Robinson (PR) thermodynamic model. Simulation results were validated successfully and the resulting model will be operated, using a genetic algorithm. The genetic algorithm modeling allows us determining the optimal values of reflux ratio and pressure of column, which provide savings in energy consumption for NGL separation process.
dsPIC Implementation and Performances Evaluation of Adaptive Filters for System Identification
Authors: MOURAD Benziane , ABDERRAZAK Arabi , SMAIL Medjedoub , MOULOUD Ayad , KAMEL Saoudi
Published: January 2024

This paper aims to implement and evaluate performances of adaptive filters applied to linear systems identification on a dsPIC platform. To do so, we considered two different applications: the identification of DC motor transfer function and the acoustic echo cancellation. For the DC motor case, real-time identification is not necessarily required. However, for the acoustic echo cancellation case, real-time identification is crucial, making execution time a key parameter in this scenario. We have implemented three adaptive algorithms: LMS, NLMS, and RLS. The first two are known for their computational simplicity, while RLS is recognized for its convergence speed. Performances evaluation is primarily based on accuracy and computation speed. A comparison is carried out in both cases to determine which algorithm is more suitable for each application. The results obtained showed that RLS is better suited for the DC motor case, while NLMS is more suitable for acoustic echo cancellation, particularly when the impulse response of the echo path is long.
Improve Image Classification Using Data Optimization
Authors: BERRABAH Djamel , GAFOUR Yacine
Published: January 2024

Image classification is a fundamental task in machine learning that involves assigning labels or classes to images based on their content. It is often performed using convolutional neural networks (CNNs). These networks are capable of learning and generalizing patterns from large amounts of data. However, if the data is not sufficiently voluminous, overfitting can occur. In such cases, it is recommended to turn to classical machine learning techniques. Moreover, the data that was insufficient for deep learning may exceed the processing capacity of the machine. This can pose significant challenges in terms of storage, memory availability, and computational power required to perform the learning operations. Our proposed approach involves addressing these challenges by optimizing the content of the dataset. This optimization is performed while preserving the essential information necessary for classification. Indeed, identical or highly similar are identified, grouped together and represented by the most representative one among them. At the same time, their sizes can be reduced. Furthermore, another significant challenge in our proposed approach revolves around managing class imbalances within the dataset. Our approach has been evaluated and the results are promising.
Intelligent Integration and Fusion of Multimodal Biometric Systems
Authors: RÉDA Adjoudj , SOUAAD Belhıa , ANIS Allal , TAYEB Bahram
Published: January 2024

The propagation and the frightening expansion of frauds due essentially to the easy access to high technologies make it difficult or sometimes impossible to detect these frauds and impostures. Therefore, it has become important, if not urgent, to develop identification techniques and tools that are more robust to attacks, more precise and more efficient. There are currently in Europe and some American countries very efficient biometric systems that combine two (2) modalities (photos and fingerprints in the case of biometric passports), but they remain very vulnerable, notably because of acquisition problems, data quality or the non-permanence of certain biometrics. Therefore, the systems based on biometric modality has been growing in the world for a decade. The processes of identification and identity verification of individuals have a very wide spectrum of applications in modern society and are becoming very relevant. However, the field of multi-biometrics is not new, many researchers have been working on this topic especially in the last 10 years. Scholar Google lists nearly 6000 publications on the subject, half of which since 2018. Real systems are in production, we can cite the UID program in India to enroll the 1.300 billion inhabitants with the 10 fingerprints and the two Iris. Most of the techniques consisted in generalizing classical biometric systems (with one modality) by attribute fusion (concatenation of data, statistical reduction...), by score fusion (often performed by summing up the comparison scores from each biometric system) or by decision fusion (majority vote most often). The objective of our work is to propose new techniques of fusion & multimodal biometric integration by using artificial intelligence tools and especially the application of fusion techniques such as: Brute Force Search, Support Vector Machines, neural networks, fuzzy systems, neuro-fuzzy systems, Genetic Algorithms, Particle Swarm Optimization.
Finite Element Modelling of Polypropylene Fibre Reinforced Concrete Beams Reinforced with Steel under Bending
Authors: AL-MARAHLA Razan Haedar , SHEHZAD Muhammad Kashif , ALMARAHLLEH Nour Hider
Published: January 2024

Application of the fibre-reinforced concrete has manifested a wider acceptability over time for its contribution towards significantly improving the flexural performance of structural members. A lot of work has been done to understand the influence of fibres on the mechanical and structural behaviour of reinforced concrete. Towards this end, several researchers have experimentally investigated the residual flexural strength to characterize the fibre-reinforced concrete. The number of influencing parameters to be investigated through experiments is mostly limited because of the time and cost implications. Consequently, validation of the experimental investigations through analytical models and further utilizing these models to study the behaviour in greater detail is a viable option for researchers. As part of this work, an analytical investigation has been performed to investigate the performance of full-scale polypropylene fibre-reinforced concrete beams. The models have been validated through comparison with the observed performance during an experimental investigation where tests on twelve full-scale FRC beams were performed. Three-dimensional finite element models of the beams under 4-point loading were prepared and the post-cracking flexural performance of FRC beams has been investigated by varying the dosage of polypropylene fibres obtained from shredding medical face masks.
Inception Model for Automatic Arabic Speech Recognition
Authors: TALAI Zoubir , KHERICI Nada
Published: January 2024

Reproducing basic human abilities has always been the main purpose for Artificial Intelligence (AI) systems. Since speech is essential to people’s communication, AI was applied to this major field to achieve Automatic Speech Recognition (ASR). In this paper, we focus on the inception model as a solution for Arabic speech recognition, due to its remarkable results on image classification tasks. We adapted this model for ASR problems and tried it on a dataset of spoken Arabic digits collected from social media apps and published corpora which resulted in more than 54000 utterances. A comparison between the proposed model and a traditional Convolutional Neural Network (CNN) shows the superiority of the inception model in ASR tasks. The inception model achieved 99.70% accuracy on the training dataset which is far better than the traditional CNN that achieved 87.46% on the same set, it did also great performance on the test subset with 88.96% accuracy compared to the traditional model with 84.78% recognition rate.
Modeling Crashes Severity Using Ensemble Techniques
Authors: ALHADIDI Taqwa , ELHENAWEY Mohammed
Published: January 2024

Traffic crashes are modelled using different techniques and contributing factors. In this work, several ensemble machine learning algorithms were used to model crash severity at urban roundabouts using data from 15 roundabouts in Jordan. The original dataset covers four years, from 2017 to 2021. A total of 15 variables were collected and used in this work. Results indicated that ten variables are important. The various models show their ability to classify traffic crash severity with a high overall accuracy range from 96% to 98%. Results indicated that driver fault and age are the most significant contributing factors for crash severity.
Multi-Objective Optimization of the Inconel 718 Turning Parameters Using MARCOS–Based Taguchi S/N ratio
Authors: BOUCHERIT Septi , YALLESE Mohamed Athmane , KOUAHLA Ilyes , BELHADI Salim , HADDAD Abdelkrim
Published: January 2024

Nickel-based alloys, such as Inconel 718, are widely used in space technology, rocket engines, nuclear reactors, petrochemicals, submarines, power plants, and other applications. It is classified as a challenging material to process due to its strong mechanical properties, low thermal conductivity, and other characteristics. The main objective of this work is to determine the optimal cutting parameters for turning Inconel 718 using a coated carbide tool, with the aim of reducing cutting tool vibration, minimizing surface roughness, and maximizing material removal rate. This is achieved by employing the Measurement of Alternatives and Ranking according to Compromise Solution technique (MARCOS) coupled with Taguchi's signal-to-noise ratio. The results have demonstrated that the configuration of the cutting parameters for achieving the aforementioned objectives is as follows: r = 0.8 mm, Vc = 70 mm/min, f = 0.08 mm/rev, and ap = 0.3 mm.
Design and Analysis of LED-Based Artificial Plant-Growing Fixture for Vertical Indoor Farming Systems
Authors: KIYAK Ismail , ASCI Semih , KESKINTAS Sercan , KOCAK Emre , DIBIC Ahmet
Published: January 2024

The ability to perform photosynthesis with artificial lighting has eliminated the dependence on the sun in the agricultural industry. With the elimination of dependence on the sun, indoor plant production has been enabled by using artificial lighting in facilities such as vertical farming facilities. As a result of making soilless agriculture possible in vertical farming facilities, more organic and healthier plant production can be achieved as the plant is free from diseases and pests and therefore there is no need for pesticides. At the same time, thanks to the facilities to be established in city centers, the access process and cost of the plants grown will be reduced. In this study, the light needed for the growth of plants in the indoor vertical soilless agriculture facility was artificially designed using LED chips. In the luminaire(fixture) design, the wavelength and level of light can be adjusted according to the needs of plant growth periods. Comparative analyzes were made of the LED-based internal vertical luminaire design results carried out within the scope of the study and equivalent products used for the same purpose.
Management and Control of Hybrid System WIND-PV Systems Integrated to the VSC-HVDC Grid
Authors: SAHRAOUI Hamza , MELLAH Hacene , MAAFA Amar , YAHIOU Abdelghani , DRID Said , CHRIFI-ALAOUI L.
Published: January 2024

The harvesting of natural resources that can be replenished is experiencing explosive growth not just in industrialized nations but also in some less developed nations. This study focuses on the control of a hybrid photovoltaic-wind energy system known as WIND-PV. This system is utilized to serve a load in a city that is not connected to the grid. The type of energy system that was investigated in this study is a hybrid one. It consists of two renewable energy sources—wind and photovoltaic—that are coupled with static converters for the purpose of adaptation and conversion of the forms of electrical energy that may be applied to an isolated metropolis. The modeling of a hybrid PV-WIND system is the most important component of the study that we are doing. We worked on a work plan, which was integrated into a Voltage Source Continuous High-Voltage Direct Current (VSC-HVDC), and this helped us a great deal to have well-determined signals.
Path Planning via Swarm Intelligence Algorithms in Unmanned Aerial Vehicle Population
Authors: COSAR Mustafa
Published: January 2024

Unmanned Aerial Vehicle (UAV) is an autonomous aerial vehicle capable of operating autonomously or in swarm cooperation, performing various tasks in civilian and military domains that exceed human capabilities. These vehicles, which can be produced in different models with varying hardware and software features, include flight control systems, route tracking systems, sensors, and numerous additional components. UAVs have the ability to process data from themselves, the control center, and the external environment. Data processing enables functions such as flight management, swarm optimization, and target and route analysis. In this analysis process, optimization algorithms and especially swarm intelligence algorithms inspired by creatures that move in flocks in nature are used. In this study, the aim was to determine the optimal route and distance from 10 different coordinate points for collective task optimization within a UAV swarm. Artificial Bee Colony (ABC) Optimization and Particle Swarm Optimization (PSO) were used during the task optimization process. The application was coded in Python. As a result of the application, the optimal distance was calculated as 0.123 km for the ABC algorithm and 0.167 km for the PSO algorithm. In addition, both algorithms determined the best routes according to different start and end points in route planning task optimisation.
Generating and Evaluating City Building Facades Using Artificial Intelligence
Authors: DIMITROVA Susa
Published: January 2024

The present study examines the various methods involved in the generation of city building facades. Elements of the entire process are explored – from obtaining the necessary information to using it to create a harmonious urban environment. The methods considered – the recognition and generation of facade elements, the generation of as-built Building Information Model (BIM) and Digital Twins of buildings (DT) – are evaluated against the needs of the generation, as well as what their place is in the foreseeable future development of architecture in the metaverse. The purpose of the study is to present the best practices in the field depending on the needs of the model and to show their practical application. An example is given of using drone imagery to assess the predominant coloration of facades with a view to generating examples harmonious with surrounding buildings. The example uses the scripting language python and different libraries to evaluate the image information and presents the results as a figure displaying the three predominant colors of the given image.
Numerical Study of the Mechanical Behavior of a Composite Material Plate
Authors: KIRAD Abdelkader , MUTHANNA Bassam Gamal Nasser , MADANI Fateh , ZEDDAM Loukmane
Published: January 2024

Composite materials are playing an increasingly significant role in the field of mechanics, such as aeronautics, aerospace, ships, and modern cars. The objective of this work was to investigate the mechanical properties and behavior of a composite plate (carbon/epoxy) through various tests, including tension, compression, and bending, using numerical analysis. Additionally, static analysis of mechanical behavior was performed, as well as the natural vibration of undamped structures. This analysis aimed to determine stresses, displacements, natural frequencies, and modes of free vibration. The obtained results illustrated that the composite material has a significant impact on improving the quality of mechanical properties and increasing the lifetime of materials, making it a valuable option for design and repair techniques. Furthermore, the results obtained in this work align well with previous literature studies. By examining these parameters, this study aimed to enhance our understanding of how composite materials perform under different mechanical loads and dynamic conditions, thus contributing valuable data to advance the field of composite mechanics.
Real-Time Structural Damage Detection Using EMI under Varying Load a	and Temperature Conditions
Authors: MOHAMED Djemana , HRAIRI Meftah
Published: January 2024

Structural Health Monitoring (SHM) is a critical aspect of maintaining the safety and integrity of infrastructure. In recent years, there has been a significant shift towards adopting innovative techniques, and one of the most promising methods is Electromechanical Impedance (EMI). EMI involves the utilization of piezoelectric transducers to assess the health of structures in real-time by examining changes in their electrical characteristics. The presence of load causes a change in structural stiffness, which alters the resonant characteristics of the structure. Understanding how external factors like load and temperature influence the electrical impedance of these sensors is essential for its reliable application in damage detection. This article presents an experimental and numerical study to investigate the effects of load and temperature on the electrical impedance of a piezoelectric sensor used in the electromechanical impedance (EMI) technique. The experimental setup uses an impedance analyzer (Agilent 4294A model) to measure the in-situ EMI of piezoelectric wafer active sensors (PWAS) attached to the monitored structure. The numerical model uses ANSYS software to simulate an aluminum beam at varying temperatures. The results show that the load and temperature have a significant effect on the impedance of the transducer. However, it is shown that it is still possible to detect damage using EMI even under varying load and temperature conditions. The results also show that the accuracy of EMI-based damage detection can be improved by using temperature and load compensation techniques.
Plastic Fiber Low Light Measurement Method
Authors: COMANESCU Brindus , SCHIOPU Paul , VLADESCU Marian , VLAD Melu
Published: January 2024

Paper describe researches performed to develop a method for checking the light transmission through plastic scintillating fiber. Such fibers are used in different industrial or research application but for our purpose are main components of a flexible detector. Such detector use photon scintillating signals read by higly sensitive detectors and special measures taken to get such sensitivity. We present in paper a method and algorithm developed for measurement of light transmission through plastic fiber when signals are at level of nW. We develop a stand to implement and verify this method. We use fibers with connectors at each fiber end. Fibers are previously polished at each end in order to allows to pass the signal through surface with low losses. Using the stand we perform measurements to analyse the feasibility of method. We present the results that demonstrate the feasibility of method. We succeed to measure signals at level of nW using special measures. Our results shows that method and stand can be used to measure low level signals through fibers. Using this method, it is possible to check the quality of plastic fiber polishing. A fiber with end surface well-polished allows to pass the signal at such low level (nW).
Exploring the Opportunities for Sustainable Management of Critical Raw Materials in the Circular Economy
Authors: PETROVA Vessela
Published: January 2024

Critical raw materials are essential for various industries due to their importance, significance, and various applications. They are classified into various types, such as rare earth elements and strategic minerals, and have key characteristics such as scarcity, high economic importance, and geopolitical implications. Factors influencing the availability of critical raw materials include geological factors, environmental challenges, regulations, trade, and geopolitical factors. Global demand and supply of critical raw materials are also analyzed, with a focus on recycling and sustainable practices. Potential risks and challenges associated with critical raw materials include environmental and social impacts, dependence on these raw materials, and dependence on foreign countries. Understanding these factors is crucial for ensuring the continued success of critical metals in various industries. The research paper discusses the importance of critical metals in the circular economy, their definition, and the research's objectives. It also discusses the circular economy concept and its relevance to resource management, identifying critical metals and their specific roles, and discussing challenges and opportunities related to their use. The article focuses on the potential for critical raw material management within the circular economy. The study's goal is to investigate and analyse the various tactics and methodologies that can be used to successfully utilise, recycle, and reintroduce key metals into the economy. The circular economy is viewed as a method of improving sustainable resource management by closing the material flow and encouraging renewability and recycling. The circular economy is currently understudied in the context of critical metals - a set of raw materials that are vital for modern technology but are limited in supply and cause significant environmental damage.
Multilayered Semi-Elliptical Arch Structures: A Damping Analysis
Authors: RIZOV Victor
Published: January 2024

Arch structures are used in various load-bearing applications in up-to-date engineering. In some cases these structures are made of multilayered materials with elastic-plastic behaviour. In many applications, the arch structures are subjected to cyclic external loading. This circumstance necessitates developing analyses of damping energy. Such analyses can be very useful for evaluating the effects of a variety of factors and parameters on the damping energy. The present paper is concerned with analyzing of damping energy in a semi-elliptical multilayered arch structure under cyclic bending. The left foot of the arch is clamped. Besides, the arch right foot is restrained by a rotational spring. An approach for determining of the changes in curvature and the coordinates of neutral axis in the portions of the arch is developed. Then damping energy in the arch is derived by integrating the damping energy density in the layers and summation for the arch portions. A parametric investigation of effects of the strength of the rotational spring, ratio of the ellipse semi axes and loading on damping energy is carried-out.
A Framework for Implementation Public-Private Partnership in Roads’ Maintenance and Operating Projects in Jordan
Authors: ALHADIDI Taqwa
Published: January 2024

This paper describes a systematic approach to assess and fund highways infrastructures project in Jordan. In essence, it focuses on building a framework to implement Public-Private Partnership (PPP) in roadways’ Maintenance and Operating (M&O) projects. It presents a methodology to assess the conditions of the highway infrastructures using structural and functional indices. The deterioration in the infrastructure condition with the age is presented, followed by M&O project period classification. Subsequently, identifying the problems confronted in the PPP (M&O) process and the associated factors affecting PPPs in service delivery, and proposing activities contributing to improvements of the M&O performance with the implementation of PPP. Thereafter, a framework to implement the PPP in highway maintenance projects is presented.
Application of Information Technology in Human Resource Management
Authors: HAJDARI Besnik , MLINAKU Hasan
Published: January 2024

This work was carried out in order to inform more about the impact of innovation technology on the development of entrepreneurship. This paper begins with the explanation about the enterprises, starting with their concept, their development over the years, where it elaborates a theory of time about the reasons why the enterprises are opened and exist, continuing with the discussion of who the entrepreneurs are, and what are the tasks theirs, and also gives us a clear picture of how businesses cannot function without business law. This research continues with the most important subject of the time, the history of the development of innovation, showing us different theories about innovation, how it has developed and how it has changed over time, continuing to the division of innovation.Part of the innovation is also the innovation in marketing, where different theories will be examined, including Ansuff's Matrix. Throughout this paper, we have also penetrated the information system, starting from the definition of the terminology of the system, to the types and development of the information system. Then the advantages and disadvantages of virtualization and office automation will be elaborated.
Pengaruh Keputusan Investasi, Keputusan Pendanaan, Struktur Modal terhadap Nilai Perusahaan dengan Kinerja Keuangan Sebagai Variabel Intervening pada Perusahaan Manufaktur Sub Sektor Makanan dan Minuman yang Terdaftar di Bursa Efek Indonesia
Authors: Devira Larasati  , Hwihanus Hwihanus
Published: January 2024

With financial performance as an intervening variable, this study tries to test and assess the relationship between capital structure, funding decisions, and investment decisions on firm value in food and beverage subsector manufacturing companies listed on the Indonesia Stock Exchange. All food and beverage subsector manufacturing companies listed on the Indonesia Stock Exchange between 2020 and 2022 are the population in this study. Purposive sampling is the method used to obtain samples in this study. Ten companies that fit the research requirements were found using purposive sampling technique. Partial Least Square was used in data analysis and hypothesis testing in this study. There are 7 hypotheses in this study. The results prove that there are 6 hypotheses that have a negative and insignificant effect. While 1 hypothesis has a positive and insignificant effect.
Entre las caballerías y la picaresca: la obra en prosa de Francis Kirkman (1632-c.1680)
Authors: Sumillera Rocio G.
Published: January 2024

Este artículo explora la convergencia de los géneros de la novela de caballerías y la picaresca a través del análisis de la obra en prosa del escritor y librero londinense Francis Kirkman (1632-c.1680), traductor al inglés del libro sexto del ciclo de Amadís, continuador de Belianís de Grecia y de The English Rogue, autor de la biografía de la impostora Mary Carleton, The Counterfeit Lady Unveiled, y de la suya propia, The Unlucky Citizen. Tomando la obra en prosa de Kirkman a modo de estudio de caso, particularmente su narrativa autobiográfica, se estudia cómo los géneros de las novelas de caballerías y la picaresca terminan entremezclándose en la literatura inglesa del siglo XVII.
El "Sermón de la grandeza y muchedumbre de las misericordias de Dios nuestro Señor" de Erasmo (Sevilla, [Gaspar Zapata], 1544) y su significado en la Sevilla de los años 40
Authors: Rabaey Hélène
Published: January 2024

En este artículo nos centramos en la traducción castellana del De immensa dei misericordia concio de Erasmo y en particular en la edición atribuida a Gaspar Zapata, impresa en Sevilla en 1544. A partir de un estudio de los elementos textuales, paratextuales y tipográficos que conforman esta edición consideramos que estamos ante un intento de promover una lectura heterodoxa de la obra de Erasmo.