bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plasma semiconductor antenna
Authors: Brusentsev A S , Bogachev N N , Dogaev S G , Yu Kazantsev S , Sattarova A I , Titovets P A 
Published: December 2021

Abstract
The purposes of this work was to study the possibility of using photoconductive semiconductor antenna based on Ge or GaAs for receiving information signals in the frequency communications and satellite navigation bands and to study a scattering parameter S11 – a return loss (a reflection coefficient) of configurable loop antennas with laser-plasma control based on semiconductor photoresistor. It is shown that the addition of semiconductor photoresistor element in the loop antenna makes it possible to significantly expand its functionality and control its characteristics using an external laser source.
Piezostack deformable mirror with high technological effectiveness
Authors: Toporovsky V V , Kudryashov A V , Samarkin V V , Panich A A , Sokallo A I , Yu Malykhin A 
Published: December 2021

Abstract
Deformable mirror (DM) is an active element that can change the shape of the surface to compensate for wavefront aberrations. Historically, the development of DMs started from piezostack deformable mirrors (PDM) due to their large stroke, flexibility in actuators geometry, high resonant frequency. However, the cost of PDMs is comparatively high because of their labor-intensive process of manufacturing. In the article innovative design of PDM is presented. The assembling of unconventional PDMs was carried out using piezoceramic combs. This step should allow to decrease number of technological steps, increase spatial resolution of the mirror and thereby reduce the cost of final product.
Influence of QD array positioning in GaAs solar cell p-n junction on their photoelectric characteristics
Authors: Salii R A , Mintairov M A , Mintairov S A , Nakhimovich M V , Shvarts M Z , Kalyuzhnyy N A 
Published: December 2021

Abstract
In the work, the effect of In0.8Ga0.2As quantum dots position in the i-region of a GaAs solar cell on its spectral and photoelectric characteristics has been investigated. Three solar cell structures were obtained by metal-organic vapor-phase epitaxy, in which layers of quantum dots were placed in the middle of the i-region and also have been shifted to the base and the emitter. As a result, it has been shown that the solar cell with a quantum dot array shifted to the base demonstrates the smallest open-circuit voltage drop and, accordingly, a higher efficiency value.
Current—voltage characteristics of connecting tunnel diodes at temperature heating up to 80°C
Authors: Kontrosh E V , Klimko G V , Kalinovskii V S , Yuferev V S , Vaulin N V , Ya Ber B 
Published: December 2021

Abstract
Investigations of the temperature stability of the peak tunneling current density of connecting tunneling diodes, which are necessary for the creation on their basis of multijunction photoconverters of powerful optical radiation, have been carried out. The structures of n++-GaAs/i-GaAs/i-AlGaAs/p++-AlGaAs of connecting TD with an intermediate undoped layer thickness of 7.5 nm and a growth temperature of 500 °C (structure ”A”) and with a thickness of 10 nm and a temperature of 450 °C (structure ”B”) were investigated. When heated to 80 °C, an increase in the peak tunneling current density of the TD structure ”B” by 4% is observed. However, for structure ”A”, a decrease in the peak tunneling current density by 5% with heating is observed. The factors leading to the appearance of a negative or positive temperature coefficient of the peak tunneling current density are determined using mathematical modeling of tunneling diodes based on GaAs/AlGaAs materials. By reducing the epitaxial growth temperature of n++–GaAs/i-GaAs/i-AlGaAs/p++–AlGaAs tunnel diode structure to 450 °C and including an undoped i-layer 10 nm thick between the degenerate layers ensure the temperature stability of peak current density when heated to 80 °C.
Detection of oscillatory solutions in a vacuum diode with total electron reflection
Authors: Kuznetsov V I , Morozov IK 
Published: December 2021

Abstract
Stability features of steady-state solutions for a vacuum diode with complete deceleration of electron beam is studied. A boundary line on the (inter-electrode gap, external voltage)-plane separating stable solutions from unstable ones is built up. An instability development is shown to end in a state with non-linear oscillations of the electric field but with no virtual cathode in a plasma. Existence of non-linear oscillations of the electric field in a vacuum diode with total reflection of an electron beam points out that such a diode can be a basis to create microwave generator.
Features of flow around transport aircraft model with running propellers by modelled engine failure in wind tunnel
Authors: Chernousov V I , Krutov A A , Pigusov E A 
Published: December 2021

Abstract
This paper presents the experiment results of modelling the one engine failure at the landing mode on a model of a light transport airplane in the T-102 TsAGI low speed wind tunnel. The effect of starboard and port engines failure on the aerodynamic characteristics and stability of the model is researched. The model maximum lift coefficient is reduced about ≈8% and there are the same moments in roll and yaw for starboard and port engines failure case. It was found that the failure of any engine has little impact on the efficiency of control surfaces. Approaches of compensation of forces and moments arising in the engine failure case were investigated.
Numerical analysis of the flow in the model of a venous valve: normal and surgical corrected
Authors: Gataulin Y A , Yukhnev A D , Rosukhovskiy D A 
Published: December 2021

Abstract
The present study aimed to modeling of surgically corrected venous valve. The Arbitrary Lagrangian-Eulerian (ALE) method was used to model the blood–leaflet interactions. The contact process between leaflets was evaluated using a frictionless contact method. The results of the numerical study of the flow in the venous valve after extravasal correction was compared with the results for the normal venous valve.
Suppression of relaxation of higher polarization moments of alkali atoms in superfrequent spin-exchange collisions
Authors: Okunevich A I 
Published: December 2021

Abstract
Consideration of nonlinear spin-exchange equations showed that, in addition to the well-known suppression of the relaxation of the transverse orientation of atoms in a low magnetic field, relaxation of higher polarization moments (alignment, octupole, hexadecapole, etc) are also suppressed. Such suppression of relaxation is caused by the conservation of the transverse angular momentum of atoms in collisions.
Molecular mobility in bulk and in near-surface nano-layers of ultra-high-molecular-weight polyethylene
Authors: Siklitsky V I , Gladkov A K , Ivan’kova E M , Lebedev D V , Myasnikova L P , Marikhin V A , Solov’eva O Yu 
Published: December 2021

Abstract
A comparative study of molecular dynamics in near-surface nanolayers and in a bulk of polyethylene is presented. Molecular mobility in near-surface nanolayers of polyethylene reactor powders and melt-crystallized films of various molecular weights prepared in different crystallization conditions were studied with the help of thermoluminescence technique using high frequency glow dicharge Ar plasma for surface activation. Molecular mobility in a bulk of the same samples was investigated by the method of radio thermoluminescence, in which a deeply penetrating γ-quanta from 60Co radiation was used for activation of the bulk. A marked difference in a temperature position of the peaks on the glow curves of plasma-induced thermoluminescence and those of radiothermoluminescence correspoding to γ- and ß-transitions was found to depend on crystallisation conditions and molecular weight. Quasi-independent segmental mobility (ß-relaxation) in the near-surface nano-layers of UHMWPE reactor powder particles synthesized at low temperatures appeared to be unexpectedly unfreezed at the temperature higher than that in the bulk. It was supposed that this happend because of crystallization under the confinement conditions during low-temperature polymerization leads to formation of a specific surface structure.
Mechanical Properties of Particleboard using Acacia Mangium Wood Particles Binded With Seaweed-Based Adhesives
Authors: Liew K C , Samin A R 
Published: December 2021

Abstract
The purpose of this study was to evaluate the mechanical properties of particleboards made from Acacia mangium wood particles binded with three different types of seaweed-based adhesive. Red seaweed (RS), brown seaweed (BS) and green seaweed (GS) were used as the seaweed-based adhesives., while particleboard using urea formaldehyde (UF) adhesive was produced as control. Adhesives and wood particles were mixed and then undergone mat-forming, pre-pressing, hot-pressing and conditioning process. The test pieces for bending test (Modulus of Elasticity, MOE; Modulus of Rupture, MOR), and internal bonding strength (IB) were cut into size according to JIS A 5908: 2003. From mechanical properties results attained, for internal bonding strength test, all boards using RS, BS and GS adhesives were found to be significantly different at p≤0.05. Apart from that, RS adhesive showed highest MOE and MOR at 529.4259 N/mm2 and 1.7900 N/mm2, respectively. As a conclusion, the mechanical properties of particleboard using RS, BS, and GS adhesives showed RS stands out as the better adhesive among them which have significant effects on its strength.
Natural Batch Adsorption Operation to Remove Dissolved Copper (II) by Carbon Charcoal Rambutan
Authors: Haryanto B , Saragih S E , Tambun R , Harahap H , Manik K , Lumbangaol A K 
Published: December 2021

Abstract
Carbon charcoal was made from rambutan rods and used as an adsorbent. A gram 70/100 mesh size of adsorbent was then used to adsorb 100 ml of copper ion solution with a 70 ppm concentration. In this investigation, the batch procedure was used without shaking (naturally). The charcoal carbon rambutan ability to remove the copper ion was measured by AAS. The percentage result was 48,135% or about 33,694 ppm. SEM and EDX instrument analysis have applied to confirm the presence of copper ions on the adsorbent surface. The copper ion was found at a concentration of 0.09 percent of the total weight. The carbon charcoal adsorbent in rambutan rods has the ability to purify the water contaminated by metal ions.
Determination of Vital Cancer Sites in Malaysian Colorectal Cancer Dataset by Using A Fuzzy Feature Selection Method
Authors: Dzulkalnine Mohamad Faiz , Sallehuddin Roselina , Yussof Yusliza , Mohd Radzi Nor Haizan , Binti Mustaffa Noorfa Haszlinna , Mi Yusuf Lizawati 
Published: December 2021

Abstract
In Malaysia, Colorectal Cancer (CRC) is one of the most common cancers that occur in both men and women. Early detection is very crucial and it can significantly increase the rate of survival for the patients and if left untreated can lead to death. With the lack of high-quality CRC data, expert systems and machine learning analysis are burdened with the presence of irrelevant features, outliers, and noise. This can reduce the classification accuracy for data analysis. Accordingly, it is essential to find a reliable feature selection method that can identify and remove any irrelevant feature while being resistant to noise and outliers. In this paper, Fuzzy Principal Component Analysis (FPCA) was tested for the classification of Malaysian’s CRC dataset. With the utilization of fuzzy membership in FPCA, the experimental results showed that the proposed method produces higher accuracy compared to PCA and SVM by almost 2% and 5% respectively. Empirical results showed that FPCA is a reliable feature selection method that can find the most informative features in the CRC dataset that could assist medical practitioners in making an informed decision.
Comparison between Louvain and Leiden Algorithm for Network Structure: A Review
Authors: Hairol Anuar Siti Haryanti , Abas Zuraida Abal , Yunos Norhazwani Mohd , Mohd Zaki Nurul Hafizah , Hashim Nurul Akmal , Mokhtar Mohd Fariddudin , Asmai Siti Azirah , Abidin Zaheera Zainal , Nizam Ahmad Fadzli 
Published: December 2021

Abstract
In the real network, there must be a large and complex network. The solution to understand that kind of network structure is using the community detection algorithms. There are a lot of other algorithms out there to perform community detection. Each of the algorithms has its own advantages and disadvantages with different types and scale of complex network. The Louvain has been experimented that shows bad connected in community and disconnected when running the algorithm iteratively. In this paper, two algorithm based on agglomerative method (Louvain and Leiden) are introduced and reviewed. The concept and benefit are summarized in detail by comparison. Finally, the Leiden algorithm’s property is considered the latest and fastest algorithm than the Louvain algorithm. For the future, the comparison can help in choosing the best community detection algorithms even though these algorithms have different definitions of community.
Design and Analysis a Harvesting Mechanism of Swiftlets Nest
Authors: Syafiqah S N , Radhwan H , Saad M N M , Irfan A R , Hussin R , Dawi M S I M , Asyahid W A R 
Published: December 2021

Abstract
Industry swiftlets nest is not a new industry in Malaysia. It gets very high demand from China. Harvesting swiftlets nest is one of the processes to produce any products that made from swiftlets nest. Currently, they are using manual harvesting equipment to harvest swiftlets nest without using any auxiliary equipment. It is the first step in process flow and very important role before cleaning process. The objectives of this project are to design mechanism harvesting equipment to harvest swiftlets nest and to decrease the time of harvesting swiftlets nest process in a swiftlets house in a day. The methodology of research is including collect data, brainstorming, design concept generation, concept selection and simulation analysis. The design of harvesting equipment is using CAD software and analyze using FEA analysis. At the end of this project, this research will give understanding about design using CAD software and analysis that improved the harvesting equipment.
Six Sigma in Semiconductor: Continuous Improvement in Production Floor Area
Authors: Velu S J S , Jusoh M S , Yusuf D H Muhd , Rosli A G M , Hj Din M S 
Published: December 2021

Abstract
This study addresses the improvement of first pass yield on the production floor of ABC Semiconductor. ABC is a company running a multiple volume complex product in aligning with memory business in the operation. First pass yield refers to the proportion of fully built product that pass testing without the need for additional rework. The first pass yield (FPY) project showed steady progression for its first five years. But over the following one year, the primary yield metric which is first pass yield has stayed stagnant. The goal of the paper presented here is to analyze the reasons for the current performance and propose novel ways of improving the metric again using quality management tools. The most common is using 7QC tools method by categorizing failure pareto that will lead to targeted corrective action to reduce the recurrence of pre-identified failure modes. A DMAIC methodology is establish on how to define an efficient corrective action, along with a top three major defect on data acquired from ABC organization. From the exercise, the yield loss was able to be reduced from 17.4% to 3.52%.
Photocatalytic Degradation of AO7 Aqueous Solution Using Ag/CeO2 Catalyst: Modeling of Process Parameters Using Response Surface Methodology
Authors: Hamid Zal Helmi Abdul , Nur Fadzeelah A K , Wan Kamis Wan Zuraida , Sukri Siti Sabrina , Jamaluddin Siti Khatijah , Hassan Hamizura 
Published: December 2021

Abstract
In the present study, photocatalytic degradation of Acid Orange 7 (AO7) aqueous solution using Ag/CeO2 catalyst with the presence of UV light was evaluated. The effect of process parameters such as pH, initial dye concentration and Ag/CeO2 dosage were investigated using response surface methodology (RSM) based on three levels of Box-Behnken Design. The effect of process parameters and their binary interactions were analyzed using the polynomial regression model. The experimental data and ANOVA analysis showed that the determination coefficient (R2) and adjusted determination coefficient (R2
adj) were 0.9580 and 0.9161, respectively, demonstrated that the model was significant. The response surface plot was successfully established the interaction effect of process parameters on the photocatalytic degradation of AO7 aqueous solution.
Crowd Emergency Evacuation Simulation Time Analysis via Obstacle Optimization Strategy
Authors: Hamizan S. , Roselina S , Habibollah H , Yusliza Y , Lizawati M Y 
Published: December 2021

Abstract
The crowd evacuation simulation is essential to provide important results for occupants, especially in the large capacity building compared to the human fire drill exercise. The strategy of evacuation such as the use of obstacles may need to be adapted by many organizations as an aid to help in visualizing and estimating the evacuation time during an emergency. During certain crowd events, they may consider the various setting of the object to ensure smoothness and effective crowd evacuation flow. In this paper, it aims to provide the simulation with 100-1000 agents and testing with obstacle using Anylogic tool and analysis of evacuation time validated using SPSS. The results show that the placement of obstacles near the exit way indeed can reduce the evacuation time and complies with the anti-arching phenomenon during evacuation.
Implementing Self Organising Map to Organise the Unstructured Data
Authors: Lim S P , Lee C K , Tan J S , Lim S C , You C C 
Published: December 2021

Abstract
Surface reconstruction is significant in reverse engineering because it should present the correct surface with minimum error using the data available. It has become a challenging process when the data are in the unstructured type and the existing methods are still suffering from accuracy issues. The unstructured data will produce an incorrect surface because there is no connectivity information among the data. So, the unstructured data should undergo the organising process to obtain the correct shape. The Self Organising Map (SOM) has been extensively applied in previous works to solve surface reconstruction problems. However, the performance of the SOM models has remained uncertain. It can be evaluated and tested using different types of data sets. The objectives of this research are to examine the performance and to determine the weaknesses of SOM models. 2D SOM, 3D SOM, and Cube Kohonen (CK) SOM models are investigated and tested using three data sets in this research. As shown in the experimental results, the CKSOM model has proved to perform better because it can represent the correct closed surface with the lowest minimum error.
Design and Fabrication of Multichannel PDMS Microfluidic
Authors: Afnan Uda M N , Hashim U , Uda M N A , Parmin N A , Thivina V 
Published: December 2021

Abstract
Microfluidic delivers miniaturized fluidic networks for processing liquids in the microliter range. In the recent years, lab-on-chip (LOC) is become a main tool for point-of-care (POC) diagnostic especially in the medical field. In this paper, we presented a design and fabrication on multi disease analysis using single chip via delivery of fluid with the multiple transducers is the pathway of multi-channel microfluidic based LOC’s. 3 in 1 nano biosensor kit was attached with the microfluidic to produce nano-biolab-on-chip (NBLOC). The multi channels microfluidic chip was designed including the micro channels, one inlet, three outlet and sensor contact area. The microfluidic chip was designed to include multiplex detection for pathogen that consists of multiple channels of simultaneous results. The LOC system was designed using Design Spark Mechanical software and PDMS was used as a medium of the microfluidic. The microfluidic mold and PDMS microfluidic morphological properties have been characterized by using low power microscope (LPM), high power microscope (HPM) and surface profiler. The LOC system physical was experimental by dropping food coloring through the inlet and collecting at the sensor contact area outlet.
Influence of Outlets Port Design on The Tesla Turbine Performance
Authors: Halim Sufi , Rahman Md Tasyrif Abdul , Rahman Anas Abdul , Hilmi Adnan Muhammad Adi , Azuzin Muhammad Hafizi , Suhri Gisrina Elin , Ghazli Mohd Fathullah 
Published: December 2021

Abstract
The boundary layer turbine known as Tesla Turbine invented long ago but has failed to be commercialized and replaced by bladed turbines. In this paper, two new techniques for improving the turbine have been proposed. A test model of the proposed boundary layer turbine has been fabricated made and tested under different conditions. The design process includes producing a virtual design and simulation of the turbine using computer software. The proposed designs were fabricated and then tested to analyse results such as speed produced, power produced, and the turbine efficiency. From this study, the proposed turbine designs manage to achieve 18% and 69% efficiency. The findings of this study will serve as a reference for future studies in the generation of power through an alternative powered driven turbine.
Flow characterisation in an exhaust manifold of a single-cylinder internal combustion engine (ICE)
Authors: Aziz N A , Rahman M T A , Amin N A M , Mohamad M S Bin , Mohamad A , Izham M , Saad M A M 
Published: December 2021

Abstract
This paper presents an investigation of flow characteristic inside the exhaust manifold that were designed with different bending angle (BA), bending radius (BR) and pipe diameter (Dp
). Five exhaust manifold models were developed and analysed by the computational fluid dynamic (CFD) method. Accordingly, the pressure distribution, velocity streamline and backpressure values were observed. The simulation results showed a different flow pattern for all five models, indicating the manifold design affect the flow characteristic inside the exhaust system. The results demonstrated that the pressure distribution inside the exhaust manifold is influencing its velocity streamline pattern, that directly effecting the outlet velocity of the exhaust gas. From this work, a small bending angle with a short straight pipe has led to a smoother exhaust flow and even exhaust velocity across the model. The results obtained from the simulation can be used as a guide to improve the understanding of the flow behaviour in the manifolds and might be used to improve the manifold design.
Global Solar Radiation Forecasting using Artificial Neural Network and Support Vector Machine
Authors: Philibus Emmanuel , Sallehuddin Roselina , Yussof Yusliza , Mi Yusuf Lizawati 
Published: December 2021

Abstract
Global solar radiation (GSoR) forecasting involves predicting future energy from the sun based on past and present data. Literature reveals that not all meteorological stations record solar radiation, some equipments are faulty, and are not available in every location due to high cost. Hence, the need to predict and forecast using predictors such as land surface temperature (LST). Satellite data when were used to complement ground-based stations have been yielding good results. Different artificial intelligence (AI) methods such as Support Vector Machine (SVM) and Artificial Neural Network (ANN) present different forecasting performances. Motivated by existing literature-related contradictions on the performance superiority of ANN and SVM in GSoR forecasting, the two techniques were compared based on several statistical tests. Experimental results show that ANN outperformed SVM by 2.9864% accuracy, making it superior in the forecast of GSoR.