bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance characteristics of low threshold current 1.25 μm type-II GaInAs/GaAsSb ‘W’-lasers for optical communications
Authors: Duffy Dominic A , Marko Igor P , Fuchs Christian , Eales Timothy D , Lehr Jannik , Stolz Wolfgang , Sweeney Stephen J
Published: June 2021

Type-II ‘W’-lasers have made an important contribution to the development of mid-infrared laser diodes. In this paper, we show that a similar approach can yield high performance lasers in the optical communications wavelength range. (GaIn)As/Ga(AsSb) type-II ‘W’ structures emitting at 1255 nm have been realised on a GaAs substrate and exhibit low room temperature threshold current densities of 200–300 A cm−2, pulsed output powers exceeding 1 W for 100 µm wide stripes, and a characteristic temperature T
0 ≈ 90 K around room temperature. Optical gain studies indicate a high modal gain around 15–23 cm−1 at 200–300 A cm−2 and low optical losses of 8 ± 3 cm−1. Analysis of the spontaneous emission indicates that at room temperature, up to 24% of the threshold current is due to radiative recombination, with the remaining current due to other thermally activated non-radiative processes. The observed decrease in differential quantum efficiency with increasing temperature suggests that this is primarily due to a carrier leakage process. The impact of these processes is discussed in terms of the potential for further device optimisation. Our results present strong figures of merit for near-infrared type-II laser diodes and indicate significant potential for their applications in optical communications.
Incorporating oxygenation levels in analytical DNA-damage models—quantifying the oxygen fixation mechanism
Authors: Van den Heuvel Frank , Vella Anna , Fiorini Francesca , Brooke Mark , Hill Mark A , Maughan Tim
Published: June 2021

Purpose. To develop a framework to include oxygenation effects in radiation therapy treatment planning which is valid for all modalities, energy spectra and oxygen levels. The framework is based on predicting the difference in DNA-damage resulting from ionising radiation at variable oxygenation levels. Methods. Oxygen fixation is treated as a statistical process in a simplified model of complex and simple damage. We show that a linear transformation of the microscopic oxygen fixation process allows to extend this to all energies and modalities, resulting in a relatively simple rational polynomial expression. The model is expanded such that it can be applied for polyenergetic beams. The methodology is validated using Microdosimetric Monte Carlo Damage Simulation code (MCDS). This serves as a bootstrap to determine relevant parameters in the analytical expression, as MCDS is shown to be extensively verified with published empirical data. Double-strand break induction as calculated by this methodology is compared to published proton experiments. Finally, an example is worked out where the oxygen enhancement ratio (OER) is calculated at different positions in a clinically relevant spread out Bragg peak (SOBP) dose deposition in water. This dose deposition is obtained using a general Monte Carlo code (FLUKA) to determine dose deposition and locate fluence spectra. Results. For all modalities (electrons, protons), the damage categorised as complex could be parameterised to within 0.3% of the value calculated using microdosimetric Monte Carlo. The proton beam implementation showed some variation in OERs which differed slightly depending on where the assessment was made; before the SOBP, mid-SOBP or at the distal edge. Environment oxygenation was seen to be the more important variable. Conclusions. An analytic expression calculating complex damage depending on modality, energy spectrum, and oxygenation levels was shown to be effective and can be readily incorporated in treatment planning software, to take into account the impact of variable oxygenation, forming a first step to an optimised treatment based on biological factors.
Laser-assisted propagation of a relativistic electron bunch in air
Authors: Trines R M G M , Robinson A P L , Wilkinson J R , Kirk J N , Hills D S , Deas R M , Morris S , Goffrey T , Bennett K , Arber T D
Published: June 2021

This paper assesses the feasibility of using kilo-joule class laser systems to pre-ionise an air column enhancing the propagation of relativistic electron beams. In a vacuum a charged beam will always diverge. In a plasma it may focus depending on the degree of beam charge and current neutralisation. Beams diverge due to scattering, but this paper highlights a parameter regime where plasma focusing in a pre-formed plasma may allow propagation of ∼10 GeV electron beams over a distance ∼10 m. Central to this theory is the degree to which the background plasma acts to charge or current neutralise the electron beam. These effects are quantified in a reduced 2D model using relativistic kinetic plasma simulations. These demonstrate that charge neutralisation is sufficiently high, and current neutralisation sufficiently low, that the proposed scheme is viable. The key problem identified in this paper is the difficulty in forming a suitable ionised channel. The primary laser energy loss mechanism for the parameters chosen is through inverse bremsstrahlung, not air ionisation, and possible ways to mitigate these losses are discussed.
eduPIC: an introductory particle based code for radio-frequency plasma simulation
Authors: Donkó Zoltán , Derzsi Aranka , Vass Máté , Horváth Benedek , Wilczek Sebastian , Hartmann Botond , Hartmann Peter
Published: June 2021

Particle based simulations are indispensable tools for numerical studies of charged particle swarms and low-temperature plasma sources. The main advantage of such approaches is that they do not require any assumptions regarding the shape of the particle velocity/energy distribution function (VDF/EDF), but provide these basic quantities of kinetic theory as a result of the computations. Additionally, they can provide, e.g. transport coefficients, under arbitrary time and space dependence of the electric/magnetic fields. For the self-consistent description of various plasma sources operated in the low-pressure (nonlocal, kinetic) regime, the particle-in-cell simulation approach, combined with the Monte Carlo treatment of collision processes (PIC/MCC), has become an important tool during the past decades. In particular, for radio-frequency (RF) capacitively coupled plasma (CCP) systems PIC/MCC is perhaps the primary simulation tool these days. This approach is able to describe discharges over a wide range of operating conditions, and has largely contributed to the understanding of the physics of CCPs operating in various gases and their mixtures, in chambers with simple and complicated geometries, driven by single- and multi-frequency (tailored) waveforms. PIC/MCC simulation codes have been developed and maintained by many research groups, some of these codes are available to the community as freeware resources. While this computational approach has already been present for a number of decades, the rapid evolution of the computing infrastructure makes it increasingly more popular and accessible, as simulations of simple systems can be executed now on personal computers or laptops. During the past few years we have experienced an increasing interest in lectures and courses dealing with the basics of particle simulations, including the PIC/MCC technique. In a response to this, the current paper (i) provides a tutorial on the physical basis and the algorithms of the PIC/MCC technique and (ii) presents a basic (spatially one-dimensional) electrostatic PIC/MCC simulation code, whose source is made freely available in various programming languages. We share the code in C/C++ versions, as well as in a version written in Rust, which is a rapidly emerging computational language. Our code intends to be a ‘starting tool’ for those who are interested in learning the details of the PIC/MCC technique and would like to develop the ‘skeleton’ code further, for their research purposes. Following the description of the physical basis and the algorithms used in the code, a few examples of results obtained with this code for single- and dual-frequency CCPs in argon are also given.
Optical emission from a ‘beam mode’ transparent cathode glow discharge
Authors: Hardiment T , Bowden M D
Published: June 2021

We investigate optical emission from a low-pressure ‘beam mode’ inertial electrostatic confinement glow discharge, created using cylindrical grid electrodes, having cathode inside a grounded, concentric anode. Spectral line distributions were measured in helium from this and a hollow cathode mode, with four lines emitted from singlet and triplet states with n = 3 and L = P and D compared against simple models for impact excitation by electrons and by ions and neutrals, suggesting much beam mode emission is caused by fast neutrals, and a significant component also caused by electrons. Beam mode emission occurs in a pattern of radial lines, that pass through aligned electrode apertures and extend across the chamber. Shadows cast by the electrode wires indicate electrically-neutral, beam-like sources of excitation, that cross the electrode assembly from bright radial lines in the opposing inter-electrode space, and calculated potential distributions show lensing surfaces around the anode grid apertures, focussing for inward-drifting ions. These indicate the emission pattern is caused by radially-convergent ion beams, and co-linear beams of fast neutrals produced in these. Emission was also observed with various alterations made to the electrode arrangement: with the anode removed, no beams were observed; with the cathode apertures rotated out of phase with those of the anode, bright radial beams between the electrodes followed the distribution of anode apertures; similar beams appeared with the grid cathode replaced by a solid version. In these experiments, progressive obstruction of pathways through the cathode caused increasing reduction in the beam pattern of emission beyond the anode radius, and in discharge perveance at similar pressure and voltage. Beam-like emission was also observed for a parallel-planar configuration, in which a cathode grid was held between two identical anode grids. The beam mode is shown to be a convergent, anode-focussed ion beam discharge, distinct to the star mode described elsewhere.
Dark matter and leptogenesis
from gravitational production
Authors: Bernal Nicolás , Sheng Fong Chee
Published: June 2021

Since the gravitational interaction is universal, any particle that ever existed, if kinematically accessible, has to be produced through her. We explore the possibility that dark matter is generated purely from gravitational scatterings together with heavy Majorana right-handed neutrinos that are long-lived. Their late decay could inject significant entropy into the thermal bath, diluting both the dark matter abundance and the cosmic baryon asymmetry, thereby imposing various constraints on the reheating dynamics.
Additionally to the entropy injection, long-lived right-handed neutrinos could also be responsible for generating the baryon asymmetry through leptogenesis, and hence establish some nontrivial relations between the dark matter and the right-handed properties, and the reheating dynamics.
Minimal warm inflation with complete medium response
Authors: Laine M. , Procacci S.
Published: June 2021

If a homogeneous field evolves within a medium, with the latter
gradually picking up a temperature, then the friction felt by the
field depends on how its evolution rate compares with medium time
scales. We suggest a framework which permits to
incorporate the contributions from all medium time scales. As an
example, we illustrate how warm axion inflation can be described by
inputting the retarded pseudoscalar
correlator of a thermal Yang-Mills plasma.
Adopting a semi-realistic model for the latter,
and starting the evolution at almost vanishing temperature,
we show how the system heats up and then enters
the “weak” or “strong” regime of warm inflation.
Previous approximate treatments are scrutinized.
Non-minimally coupled curvaton
Authors: Liu Lei-Hua , Prokopec Tomislav
Published: June 2021

We investigate two-field inflationary models in which scalar cosmological pertubations are generated via
a spectator field nonminimally
coupled to gravity, with the particular emphasis on
curvaton scenarios.
The principal advantage of these models is in the possibility to tune
the spectator spectral index via the nonminimal coupling.
Our models naturally yield red spectrum of the adiabatic perturbation demanded by observations.
We study how the nonminimal coupling affects the spectrum of the curvature perturbation
generated in the curvaton scenarios. In particular we find that for small, negative nonminimal couplings
the spectral index gets a contribution that is negative and linear in the nonminimal coupling.
Since in this way the curvature spectrum becomes redder, some of curvaton scenarios can
be saved, which would otherwise be ruled out.
In the power law inflation we find that a large nonminimal coupling is excluded since
it gives the principal slow-roll parameter that is of the order of unity.
Finally, we point out that nonminimal coupling can affect
the postinflationary growth of the spectator perturbation,
and in this way the effectiveness of the curvaton mechanism.
Cross section of the Coulomb excitation of

by low energy muons *
Authors: Tkalya E. V.
Published: June 2021

The inelastic scattering cross section for muons,

, with energies

= 9–100 eV from the

Th nuclei is calculated in the framework of the second order of the perturbation theory for quantum electrodynamics. The dominant contribution to the excitation of the low energy isomer

Th

eV) originates from the

multipole. The excitation cross section reaches the value of

cm

in the range

10 eV. This value is four to five orders of magnitude larger than the electron excitation cross section and is sufficient for the efficient excitation of

Th on the muon beam at the next generation of muon colliders.
Exotic

molecular states and

tetraquark states with JP
=0+, 1+, 2+
*
Authors: Wang Qi-Nan , Chen Wei , Chen Hua-Xing
Published: June 2021

We have calculated the mass spectra for the

molecular states and

tetraquark states with

. The masses of the axial-vector

,

molecular states and

,

tetraquark states are predicted to be approximately 3.98 GeV, in good agreement with the mass of

from BESIII. In both the molecular and diquark-antidiquark scenarios, our results suggest that there may exist two almost degenerate states, as the strange partners of

and

. We propose to carefully examine

in future experiments to verify this. One may also search for more hidden-charm four-quark states with strangeness in not only the open-charm

channels but also the hidden-charm channels

,

.
The MUGAST campaign at GANIL
Authors: Assié M.
Published: June 2021

The paper describes the MUGAST campaign at GANIL designed for direct reaction measurement. The physics cases addressed in this campaign deal with shell model evolution, nuclear astrophysics and unbound states. The set-up consist of state-of-art stripped silicon array, MLTGAST coupled with the large acceptance spectrometer, VAMOS and with the state-of-the-art gamma array AGATA. It also accommodates cryogenic targets and specific targets. The challenges of the measurements performed are described.
The Effects of Loadings during Forward Lunge on Force Output in Dominant and Non-Dominant Leg
Authors: Nadzalan Ali Md , Shafiee Mohd Syamil , Mohamad Muhamad Hasrulnizam , Tan Kevin , Rahman Ros Idayu Abdul , Mohamad Nur Ikhwan , Pratama Rivan Saghita
Published: June 2021

The aim of this study was to determine and compare the force output during lunge exercises with different loadings; i) high load forward lunge (70% 1RM) and ii) low load forward lunge (30% 1RM). Thirty recreationally active, untrained men were recruited and were assigned to perform forward lunge with 70% 1RM (70FL) and 30% 1RM (30FL) with both their dominant and non-dominant leg. For both dominant and non-dominant leg, all the force variables during 70FL were significantly greater compared to 30FL. Results also showed that time to peak force and stance time was significantly shorter during 30FL compared to 70FL. Besides that, all the force variables were greater in the dominant limb compared to the non-dominant limb. Time to peak force and stance time were also shorter in dominant limb compared to the non-dominant limb. As the conclusion, assymetries exist among untrained men during forward lunge exercise for both low loads and high loads.
Influence of Water Cement Ratios on the Optimum use of Steel Slag in Concrete
Authors: Anifowose M A , Adedokun S I , Adebara S A , Adeyemi A O , Amototo I O , Olahan AB , Oyeleke M O
Published: June 2021

In Nigeria and numerous nations of the world, steel is mainly created from purifying of metal scrap and hundreds of tonnes of steel slag are manufactured each year. This study investigated the effect of water-cement ratios (w/c) on the optimum replacement of crushed stone with Prism Nigeria Slag (PNS) in concrete production. PNS were used to substitute crushed stone by 0, 40, 50 and 60%. A mix ratio of 1:2:4 was adopted with w/c of 0.4, 0.5, 0.6 and 0.7. Concrete cubes and cylindrical concrete specimens were cast and cured in water for 7 and 28 days. The behaviour of the hardened concrete shows consistent decreased in compressive and split tensile strengths with increase in w/c. The optimum replacement at 28th days curing for compressive strength was observed at 60% PNS for all w/c. However, the optimum replacement of split tensile strength for w/c of 0.4, 0.6 and 0.7 was found to be 60% PNS while 0.5 w/c had optimum replacement of 40% PNS. The study concluded that 60% PNS with w/c of 0.4 would produce a concrete of high compressive and split tensile strengths than traditional concrete for mix ratio 1:2:4.
Smart Agro E-Marketplace Architectural Model Based on Cloud Data Platform
Authors: Sedek Khairul Anwar , Osman Mohd Nizam , Omar Mohd Adib , Wahab Mohd Helmy Abdul , Idrus Syed Zulkarnain Syed
Published: June 2021

Digital marketplace provides a convenient place for farmers to market farm’s products sales anywhere anytime. If this platform is fully utilized by farmers, it can improve the sustainability of farmers in agriculture industry because it can improve sales volume and fair price for farmers and consumers. However, the current AgroBazaar Online has a few enhancements that can be proposed to improve the acceptance from farmers and consumers. Therefore, there is a need to design the system that can encourage target users to use the system and make the system easy to be used by farmers who relatively have lower ICT literacy. The main requirement to develop intelligent marketing is data to provide intelligent information and services for both farmers and consumers. This project aims to explore data strategies to provide intelligent digital agricultural marketplace based on cloud data platform. This research proposes to develop cloud data platform for e-marketplace based cloud data platform approach. The proposed methodology consists of six phases: problem identification and motivation, definition of the objectives for a solution, design and development, demonstration, evaluation, and communication. This paper proposes an architectural model of agriculture marketplace cloud based on cloud data platform. The architectural model will be used for development of e-marketplace that fulfil the Malaysia’s IR 4.0 policy and National Agro-Food Policy (NAFP).
Malware Awareness Tool for Internet Safety using Gamification Techniques
Authors: Omar Nurul Suraya , Foozy Cik Feresa Mohd , Hamid Isredza Rahmi A , Hafit Hanayanti , Arbain Adila Firdaus , Shamala Palaniappan
Published: June 2021

Malwares are detrimental to those who are ignorant of their existence. However, the adverse effects of malwares can be easily avoided by being aware of Internet safety. In this paper, a malware awareness tool targeted for university students was developed. The Game Development Lifecycle (GDLC) model was applied in developing this tool. The tool development phase began with initiation, then pre-production, production, testing, beta testing, and ended with the release phase. Once the malware awareness tool was developed, functionality tests and awareness level tests were conducted on university students to ensure the tool is fully operative. Through the tests, it was shown that this tool was received with positive responses from its target users. As for the awareness level test, a majority of 15 students were aware of the purpose of the gamification in the malware awareness tool. In a nutshell, the malware awareness tool that was developed raised university student’s consciousness on malwares and increased their awareness level pertaining to Internet threats.
Breakdown Characteristic of N2-CO2 Gas Mixtures under AC and DC Test Voltages
Authors: Sham N M B , Zahid N Z , Kamarudin M S , Jamail N A M , Abd-Rahman R
Published: June 2021

This study provides fundamental knowledge on the breakdown properties of N2-CO2 gas mixture with a ratio of 20:80, 50:50, and 80:20. The gas mixtures were tested under HVAC and HVDC voltages with 1 bar (abs) pressure. The plane-plane and needle-plane electrodes were used with gap lengths between 0.5 cm to 2.5 cm. It is found that the breakdown voltage of N2-CO2 mixture increased with the increased of CO2 content. The breakdown voltage is also affected by the increment of gap distance for both electrode geometrics; plane-plane to represent the uniform field and needle-plane as the non-uniform field. The gas under uniform field configuration has a higher ability to withstand higher voltage levels compared under non-uniform field configuration. However, the non-uniform field provides a very high electric field intensity, which implies very high electric field stress. By increasing the percentage CO2 in N2-CO2 mixture, the insulation strength can reach about 64% that of pure SF6 gas at the 0.1 MPa.
A Systematic Review for Online Learning Management System
Authors: Xin Ng Syuan , Shibghatullah Abdul Samad , Subaramaniam Kasthuri A/P , Wahab Mohd Helmy Abd
Published: June 2021

Currently, because of the Covid-19 pandemic there a lot of demand to use online Learning Management System (LMS). The LMS available usually offer similar features and is hard for user to choose which is appropriate for them. The key criteria for analysing LMS are learning skills tools, productivity tools and communication tools. The purpose of this paper is to do systematic review on the current LMS, the problem with current LMS and the potential solutions that might help. To serve this purpose five learning management system are chosen which are Moodle, Sakai, SumTotal, Blackboard and ATutor among the other learning management systems in the market. The reasons are it consists of open source platforms such as Moodle, ATutor and Sakai and commercial platforms such as Blackboard and SumTotal. The findings from this review is quite interesting and it can be used to help users such as university/colleges, and students in selecting their LMS. It also give some ideas to LMS developer in enhancing their LMS or proposing a new features.
Unwinding Environment in the Lecture Room Using Mobile Learning (M-Learning) Adoption among the Millennial Generation
Authors: Ibrahim Marhaiza , Khairudin Norhaiza , Salleh Danilah
Published: June 2021

Information and Communication Technology (ICT) has provided flexibility for teachers and students to engage in academic discourse irrespective of the location. With rapid technological advancements, Mobile learning offers incredible opportunities, especially in higher education especially during this Covid-19 pandemic. The advancement of mobile and wireless communication technologies has encouraged the mobile learning method where students are able to learn via mobile devices without being limited by space and time. The millennial generation can be situated in a real-world scenario associated with the learning content in higher education. This paper discovered how mobile learning approach can enhance engagement skills and communication skills among millennial generation and employed action research methodology. In this research, mobile learning application such as kahoot! E-exercises and e-quizzes adoption of mobile learning during lecture and outside lectures activities for conversations and consultation. The positive findings showed those students’ engagement skills and communication skills increased via the mobile learning adoption. Students had active learning opportunity where effective conversations and consultation between the lecturer and students. This paper heightens lecturer awareness in identifying the learning tasks via mobile learning that are well developed. This may further be a motivating factor to adopt measures and new strategies for the improvement of students’ skills. Statistics revealed a higher engagement rate and better communication skill when courses are delivered using the mobile learning approach.
Line Detection and Monitoring System on Woodball Sport
Authors: Chandrasegaran Janathnan , Mustafa Wan Azani , Umoruddin Nurul Afidah , Mahyudin Ilham Shafini , Jamlos Mohd Aminudin , Syed Idrus Syed Zulkarnain , Idris Azlina
Published: June 2021

In most sports today, the decisions taken by referees are supported by the use of electronic technology. The detection and monitoring system of the woodball lines serves the same function, helping the referee to take decisions and modernise woodball sports. The modern sport of wood balls depends entirely on out decisions. The line detection technology helps inform the judge whether the ball is OB (out of Bounds), while the monitoring system notifies players, judges, and the crowd whether or not the gating is effective. But the referee's manual assistance is always necessary to start the game after a good gating, since the player cannot touch the wood ball the whole time. Finally, the percentage of precision and error was achieved.
Demographic features of Pahang Portal Mart adoption during Covid19
Authors: Misaridin Nur Aulia Fahada binti , Bakar Wan Hashridz Rizal bin Wan Abu , Mokhtar Mohammad Zulfakhairi bin
Published: June 2021

The use of online shopping during covid season 19 is expected to continue to increase. The rise in the use of online shopping is really encouraging, as it will support the government campaign to curb the spread of the Covid-19 epidemic and there might be many users who also do not make effective use of information technology. Therefore, this study aims to identify the demographic features of online shopping users in Malaysia during the Covid season. this study uses a questionnaire instrument for data collection. a total of 127 respondents were successfully obtained and the data were analyzed with descriptive statistics. findings have shown that the majority of respondents were Malays and they are students who have a Bachelor’s degree and aged between 21 and 29 years. the findings of the study are discussed further suggestions for improvement are stated in this study
The determine factors of student satisfaction with e-learning in Malaysia Higher Education Institutions: a scoping review
Authors: Mohamed B , Noorashid N A , Abd Razak F Z
Published: June 2021

The aim of this scoping review is to investigate work published on student satisfaction with e-learning in Malaysia Higher Learning Institutions (HLIs). A scoping review was conducted using the methodological framework of Arksey and O’Malley to identify a broad range of relevant literature, regardless of study design. A systematic search was performed using Google Scholar in May 2020 and then was updated in October 2020. The database was searched for literature published between 1st January 2019 and October 2020. Two authors independently assessed literature eligibility and extracted data to answer our research question ‘From the previous literature, what is the effects of e-learning/LMS on student learning satisfaction in Malaysia Higher Learning Institutions?’ Seven articles were included in the review. There appears to be a paucity of research regarding student satisfaction with e-learning in Malaysia HLIs. Various theories and models have been included in the papers. However, all the articles mentioned the factors that determine student satisfaction with e-learning. The study demonstrates that when e-learning is delivered purposefully and effectively in the management and support of student learning, it has a positive effect on student satisfaction. However, more research in this area is required.
Development and Behaviour of Interlocking Compressed Earth Bricks in Universiti Malaysia Sabah, Malaysia
Authors: Abdullah E S R , Mirasa A K , Asrah H , Mohamad H M
Published: June 2021

Conventional bricks such as Fired Clay Bricks (FCB) contribute to environmental issues due to the production process. Previous study has shown that interlocking bricks have potential as alternative way for sustainable development. The Interlocking Compressed Earth Bricks (ICEB) is a sustainable construction material which all the main constituents locally available and stabilize with Ordinary Portland Cement (OPC). Thus, this study focusses on determination of proper mix design for the ICEB in line with that to reduce the contribution to environmental issues. Six (6) different of cement contents were investigated, which 0% to 10% by incremental of 2%. All the ICEB samples were tested for water absorption and compressive strength at the ages 7, 14 and 28 days. The ICEB with 10% of cement contents show the highest compressive strength which have exceeded the minimum required stated in BS3921:1985 (5 N/mm2) however the water absorption exceeds the allowable limit of 15% based on MS 76:1972. This study may contribute and act as manual for mix design of the ICEB.
Examining the factors influencing Pahang Mart portal using Technology acceptance model: the moderating effect of education level
Authors: Misaridin Nur Aulia Fahada binti , Bakar Wan Hashridz Rizal bin Wan Abu , Mokhtar Mohammad Zulfakhairi bin
Published: June 2021

The use of Pahang Mart portal greatly helps the people of Pahang to shop especially during the covid-19 season. However, if the system is not used optimally then waste will occur. Therefore, this study outlines the objectives that aim to identify the role of education level in moderating the relationship between perceived ease of use and intention to use Pahang Mart portal. The findings of the study have proven that performance expectancy has a significant relationship with the intention to use the Pahang Mart Portal application. However, the level of education does not play a significant role in simplifying the relationship between perceived ease of use and intention to use.
Measurement model for Pahang Portal Mart acceptance scale instrument
Authors: Misaridin Nur Aulia Fahada binti , Bakar Wan Hashridz Rizal bin Wan Abu , Mokhtar Mohammad Zulfakhairi bin
Published: June 2021

The use of Pahang Mart portal among the people of Pahang during the covid19 season is very encouraging. However, if the use of this portal is not complete, then the development of this portal will be a futile and detrimental project. A study on the acceptance of this portal is necessary and to ensure that this study has validity and reliability, the instrument needs to be proven in advance about its validity and reliability. Therefore, this study aims to determine the validity and reliability of the instrument that used to measure PahangMart portal acceptance. This study is a quantitative study using questionnaire instruments taken from previous researchers. The findings of the study prove that the questionnaire has a good level of validity and reliability.
Analysis of Solid Carbide Drilling Performance on AISI 316L Austenite Stainless Steel using MQL (Minimum Quantity Lubrication) using Peck Drilling Approach
Authors: Mukhtar M , Effendee Mohd , Ibrahim Mohd Habir , Syahrir M
Published: June 2021

Minimum Quantity Lubrication (MQL) minimizes refrigerants and lubricants mixed with air to foster environmental sustainability. Austenitic AISI 316L stainless steel is often used for the aviation, biomedical equipment and food appliances. However, low machinability of this material makes it difficult to cut resulting low hole surface quality. The objective of the study is to evaluate the drill performance of solid carbide tools while drilling AISI 316L austenite stainless steel and to study the effect of drilling parameters, cutting speed (Vc), feed rate (Fr) and drill geometry (point angle) on tool life, surface integrity and holes accuracy. Solid carbide drilling performance analysis on AISI 316L Austenite Stainless Steel using MQL was assessed in terms of tool life, surface roughness, and hole accuracy. Investigation for optimal conditions of cutting speed, feed rate and point of angle when drilling AISI 316L austenite stainless steel would obtain the optimum output indicates longer tool life, better surface roughness and adequate accuracy in high-speed machining conditions. This MQL oil-air flow is accurately measured and sent to the drill tool edge. The cutting speeds applied for the machining process are 100m / min, 130m / min and 150m / min. For feed rate parameters, the selected values are 0.05mm / rev, 0.1mm / rev and 0.15mm / rev. Rotational drill angles are 110 °, 120 ° and 130 °. The peck drilling investigation is performed on high-speed milling machines keenly will provide guidance to produce good and optimal machining settings of cutting speed, feed rate and angle point to others when they want to drill a hole.
New hybrid BFGS-CG method for solving unconstrained optimization
Authors: Osman Wan Farah Hanan Wan , Mamat Mustafa , Ibrahim Mohd Asrul Hery
Published: June 2021

Conjugate gradient method and quasi-Newton (QN) method are both well known solvers for solving unconstrained optimization problems. In this paper, we proposed a new conjugate gradient method denoted as Wan, Asrul and Mustafa (WAM) method. This WAM method is then combined with the QN method to produce a new hybrid search direction which is QN-WAM. Based on numerical results, the proposed hybrid method proved to be more efficient compared to the original quasi-Newton method and other hybrid methods.
‘CLASSKICK’ an interactive online app to Support Students’ Learning: A case study on Mandarin as a foreign learning
Authors: Chua Nurul Ain , Soon Goh Ying , Mansor Noor Rohana Mansor Binti , Rashid Roswati Abd. , Ahmad Mazlina , Musa Azlina , Dollah@Abdullah Aisyah Binti
Published: June 2021

Technology evolution now allows for many things. However, it is hard to keep students engaged without a teacher’s physical presence contact. Educators may use interactive virtual applications to track students’ progress and giving feedback to keep them engaged. Due to the rise of online learning tools; students have an opportunity for personalised instruction and tailored to their specific needs. Thus, this article presents Classkick, an interactive web and mobile app supporting differentiated Mandarin instruction in higher education. A quasi-experiment was used to examine how influences students’ knowledge and the teacher’s teaching practice. Classkick enhanced the quality of Classkick learning and changed the way students learn. Classkick is a potential app for differentiated instruction. It helps teachers to differentiate instruction for individual need. However, students and teacher need to adjust self-concept to be more effective. The study found that Classkick which can be used to render integrated instruction that can minimise distraction. It showed that technology integrated lessons have a higher impact on student learning than traditional methods.
Comprehensiveness, Preciseness and Interconnectedness: How to Evaluate International Public Opinion Based on Cross-media Data Mining on the Internet
Authors: Deng Tianqi , Hou Xiaotian , Liu Yumo
Published: June 2021

With emerging new media technologies, the analytic focus of research on international public opinions has switched from single content form, such as text, audio, image or video into multiple forms of media integrated together in cyberspace or in physical space. The depth and frequency of monitoring international public opinion on topics related to China are improving rapidly. This paper pinpoints the inadequacies of current monitoring activities and puts forward ways to analyze international public opinions on topics related to China based on technologies, such as web indexing, deep learning and data mining. Thematic discovery based on big data analytics, real-time surveillance and monitoring of trending topics, intelligent prediction of popularity, intelligent analysis of emotional valence, etc. can effectively support the establishment of a system using multimedia data to monitor and analyze international public opinion.
An Opportunity Downlink Interference Alignment Algorithm Based on Punch Scheduling in Cognitive Heterogeneous Networks
Authors: Li Na , Xie Jianli , Li Cuiran
Published: June 2021

For the hierarchical structure and frequency reuse of cognitive heterogeneous networks, it is inevitable to effectively deal with interference while gaining capacity. In this article, we consider the downlink cognitive heterogeneous network, in which a macro base station can serve a certain number of macro users, and each macro cell is composed of a certain number of micro cells. An opportunistic downlink interference alignment (ODIA) algorithm for cognitive heterogeneous networks based on puncture scheduling is proposed. First, we designed a pair of precoding and decoding matrices to eliminate co-layer interference. Second, in order to reduce the overhead required to transmit system state information(CSI), we proposed a user scheduling algorithm that not only can obtain a larger interference-free size, but also improvements in fairness, system capacity and overflow probability. The simulation results show that the proposed ODIA scheme is superior to the existing interference management algorithms in terms of interference, system capacity and fairness of system resource allocation.
Research on Super-Resolution Reconstruction Algorithm of Image Based on Generative Adversarial Network
Authors: Jia Rongzhao , Wang Xiaohong
Published: June 2021

Image super-resolution is to use a series of algorithms to improve the original image resolution. The process of obtaining high-resolution image through some low-resolution images is image super-resolution reconstruction technology. There are two main research fields in super-resolution reconstruction, one is to restore the real details of the image, and the other is to not require too much detail, and only pay attention to the overall visual effect of the image. In this paper, an improved super-resolution reconstruction algorithm based on generative adversarial network is proposed. The network model and loss function are improved and optimized. The auxiliary VGG-19 network is used to extract the image features, and the extended convolution is used to expand the receptive field, which makes the image have a better reconstruction effect. Using DIV2k data set as training set and set5, set14, bsd100 data sets as test set, a series of experimental analysis is to prove the feasibility of the procedure method. Compared with the existing mainstream models, the perceptual effect of the image has been improved.
A Novel Channel Attention Mechanism for Human Action Recognition Based on Convolutional Kernel
Authors: Shi Xin , Jiang Haiyang , Lu Yuanyao
Published: June 2021

With the improvements of computer performance, deep learning has gradually expanded from 2D image tasks to 3D video tasks. Human action recognition is a typical 3D video task, which can achieve category classification by capturing human action characteristics. However, most of the videos are processed by encoding and decoding technology at current, thus the motion details are blurry, which makes it difficult for human action recognition. To solve this problem, we utilize the attention mechanism to “ignore” the blurred feature caused by video coding and decoding technology. Therefore, we hope to embed the attention mechanism in 3D spatiotemporal CNN to overcome this problem. Compared with 3D CNN, the effectiveness of our method is verified on UCF101 and HMDB51 dataset. And our method also proves the convolutional kernel implies channel-wise dependence. Although the improvement of the proposed method is limited, we hope the channel attention mechanism can help people to study neural network.
Research on the Mechanism of the Influence of E-WOM Dispersion on Consumers Return Intention
Authors: Long G T , Song M M , Duan Y C , Cao Z P , Wu W L
Published: June 2021

Based on the attribution theory, this paper constructs a conceptual framework for the influence of the dispersion of electronic word of mouth on consumers’ return intentions, focusing on the impact of the interaction between robot review and e-WOM dispersion on consumers’ attribution selection, the study uses situational experiments to collect data and verify hypotheses. The study found that: (1) Consumers are more willing to return goods when faced with high-dispersion electronic word of mouth; (2) When facing high-dispersion electronic word of mouth, consumers tend to attribute it to existing reviewers; (3) The influence of word-of-mouth dispersion on attribution selection is regulated by robot reviews. For the word-of-mouth dispersion of robot reviews, the tendency of word-of-mouth dispersion to be attributed to product reasons becomes greater. The research has laid a theoretical foundation for further exploring the influence of e-WOM dispersion on consumers’ return intentions, and also provides theoretical guidance and reference for enterprises to rationally use Internet robots and reduce return rates.
Solving Manifold Ambiguity by Sliding the Array in MIMO Radar
Authors: Pang Yucai , Xiao Yuhan , Liu Song , He Yun
Published: June 2021

Arbitrary sparse array could extend the array aperture. And the position of sparse array elements has little constraint. But, the manifold ambiguity of sparse array will cause ambiguity angle estimation. In order to avoid manifold ambiguity in Multiple Input Multiple Output (MIMO) radar with sparse array, a new solving ambiguity method is proposed based on sliding the array. By employing reduced multiple signal classical algorithm(RE-MUSIC), the true direction of departure (DOD) and direction of arrival (DOA) are obtained. The main idea of the proposed method is that get DODs and DOAs separately by RE-MUSIC algorithm. When transmitter exists the ambiguity, we compare the RE-MUSIC spectrum of pre-sliding transmitting array with the RE-MUSIC spectrum of post-sliding transmitting array to obtain the true DODs. Then we obtain the true DOAs by the RE-MUSIC spectrum of receiving array. It is similar to receiver exists the ambiguity. Simulation results verify the validity of the proposed method.
Designing and Realization of VR Simulation System on Oilfield Flooding
Authors: Zhang Ruijie , Wu Zhenming , Guo Yapeng , Wang Mengxiao , Liu Aiyang
Published: June 2021

Water injection system is a large production system of oil field, this system works not only in vast area, but also in complex working conditions with great energy consumption. Since the Ninth Five-year Plan period, under the concept of national advocate with energy conservation, emissions reduction and low carbon environmental protection. The process of simulation, optimization and energy conservation of water injection system has been the focused problem of oil sector. This article based on the existing oil field water injecting simulation system, combining the virtual reality technology with water injecting system simulation technology, analyzing and researching with 3D display and virtual interaction of water flooding simulation system as a starting point, designed and excogitated a complete set of oil field water injection virtual-reality simulation system in order to assist production management of on-site technical personnel.
An Improved Island Algorithm and Its Application in Model Optimization of Micro Soft Robot
Authors: Ma Ji-Ming , Shan Shi-Jiao , Su Ri-Jian , Wen Xu-Qin , Xu Hong-Sheng
Published: June 2021

Aiming at the shortcomings of the original island algorithm (IA), which has a slow convergence speed and is prone to local optimality, the island algorithm with the characteristics of Levy flight (LevyIA) was proposed by introducing the Levy flight strategy, which replaced the position update method in the original algorithm and made use of the occasional long jump of Levy flight strategy to jump out of the local optimal solution. The simulation test of the improved algorithm is carried out with 6 test functions, and the experimental results show that the improved algorithm LevyIA can effectively solve the problems of slow convergence speed and local optimization of island algorithm. For the micro-soft robot model with multi-mode movement, IA and LevyIA algorithms were used to optimize the size of the robot and the appropriate magnetic field intensity needed to drive the robot to deform and move. Finally, the experimental data of swimming speed of the robot obtained by simulation shows that, among the three optimization results obtained by LevyIA algorithm and IA algorithm, LevyIA algorithm can make the robot swim faster when moving forward with minor perturbations.
The Design and Realization of Fire Evacuation and Rescue Applet
Authors: Zhang Yansu , Gao Pengcheng , Yang Chenying
Published: June 2021

With the vigorous development of new media technology, wechat applet is in the stage of blowout development. Based on wechat platform, and combined with the public’s cognition of fire safety knowledge, the fire evacuation and rescue applet is designed by wechat developer tools, cloud computing platform and other tools. The applet includes many modules such as evacuation plan display, fire plan display, fire tips, plan inquiry, fire publicity video and hidden danger report and so on. In the event of a fire, the applet can enable the public to acquire the knowledge of fire safety precautions and evacuation paths of the places where they are located timely. Also, the applet can help commanders get the fire emergency plan at the first time, have a preliminary understanding of the driving route, water source information and the basic situation of the unit on the way if reinforcements are needed in other district. So the fire evacuation and rescue applet can provide a timely and effective way for the public to popularize fire common knowledge. All of these functions can enhance people’s awareness of fire safety and reduce losses in case of fire.
Architecture Design of An Intelligent Monitoring System for Turbine Filtration Device
Authors: Yi Jiangang , Bo Wen
Published: June 2021

In order to improve the operation efficiency of the turbine and reduce the failure rate of the equipment, this paper takes the inlet filter device of the turbine as the research object, comprehensively utilizes computer technology, machine learning, computer network and other technologies, and proposes a remote monitoring system of the turbine filter device based on industrial Internet cloud service and C/S architecture. The industrial process monitoring system is designed according to the actual situation of the industrial process. By connecting the system to the industrial Internet cloud service, the remote monitoring of the on-site running state and operation data of the equipment is realized. On this basis, the artificial neural network is proposed to realize the timely diagnosis and treatment of faults, and the operation and maintenance suggestions are put forward to improve the stability of equipment operation, reduce the maintenance cost of equipment, so as to improve the economic benefits of system operation and maintenance.