bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Wireless Network Multisensor Fusion Technology in Sports Training
Authors: Tang Wenjun
Published: June 2022

Fencing is an advantageous event for a country to participate in the Asian Games. The discussion and research on the means and methods of special fencing ability training are of great significance to the further development of fencing in the country. Based on the multisensor information fusion technology, this paper develops a special fencing training system with digital monitoring and intelligent decision-making. The multisensor information fusion technology scheme, which is reported in this paper, is used to perform decision-level fusion based on fuzzy inference technology whereas Kalman filter is used to optimize the original information. On the basis of the overall structure, mechanical mechanism, and performance analysis, the mechanical prototype of the fencing special ability training system was developed whereas design, processing, and debugging of the prototype were completed. Combined with the mechanical prototype design of various index parameter display structures based on multisensor information fusion technology, the digital processing of the fencing special ability training system is realized. The force, speed, position, and other characteristic quantities in the fencing special training system are collected by the pressure and rotational speed sensors respectively whereas USB communication technology is used for data transmission. On the basis of in-depth analysis of the characteristics of the special training system for fencing, an abstract system of pedaling power based on the center of gravity and trend models is designed where the Kalman filter is reserved for the special application fields. Moreover, the core role of Kalman filter is carried out when original data information is needed to be obtained. By constructing a force distribution pressure center trajectory measurement model, a training load and training parameter measurement model, and a training level evaluation model, the data-level raw information is specially processed to generate more training parameters that meet specific characteristics, making the multisensor information fusion technology more efficient. It is well integrated into the fencing special ability training system. By applying fuzzy reasoning technology, the special training parameters and the relationship between these parameters are transformed into fuzzy sets and fuzzy rules, and the perceptual knowledge of sports training experience is transformed into fuzzy rules. With this decision-level data fusion method, the fencing special training system has certain intelligent functions.
Thermal model developed of high electron mobility transistor AlGaN-GaN
Authors: Farti Azzeddine , Touhami Abdelkader
Published: June 2022

The performance of AlGaN-GaN HEMTs is influenced by the self-heating phenomenon, which leads to the power dissipation that is related to the increase of the local temperature of the device. The study of this increasing of the temperature is executed under different parameters, namely, low field mobility, velocity saturation, thermal conductivity of the substrate. A thermal model is developed to study the effect of this phenomenon on the current-voltage characteristics. Among the techniques to minimize the increase in the local temperature, we based on the good choice of the substrate used in the transistor. To highlight this proposal model, we have made a comparable study between the substrates of silicon and sapphire. Our analytical results are in a good agreement with published experimental data.
Electric vehicle charging using roof top photovoltaic controlled with new hybrid optimization technique
Authors: Selvaraj Dhamodharan , Rangasamy Dhanalakshmi
Published: June 2022

In this decade, electric car technology has advanced at a breakneck pace. People are also using electric vehicles more since they are more inexpensive. Electric car charging is one of the issues that most sectors confront, as there are many cities in India where charging stations have yet to be established. In this paper, an innovative approach for charging a vehicle while on the move is presented, utilising the solar panels on the vehicle's roof. The panels collect energy from the sun and use it to charge the vehicle's battery. Even when the vehicle is driving down the road, this happens. Partial shading is a concern for solar panels when travelling on the road. In this paper, a new hybrid optimization technique combining grey wolf optimization and crow search algorithms (GWO-CSA) is employed to compare an electric car model to the traditional particle swarm optimization (PSO) approach. The MATLAB simulation results demonstrate the vehicle's performance and tracking efficiency.
Unbalance compensation topology for railway application based on pulse width modulation alternating current chopper
Authors: Mir Ismail , Benslimane Anas , Bouchnaif Jamal , Lahfaoui Badreddine
Published: June 2022

This paper focuses the study on the design of a new topology of unbalance compensators adopted by railway operators in the substations of high-speed railway lines, this compensation structure based on the concept of alternating current (AC)-chopper controlled impedance (CCI). The present document describes the CCI compensator in terms of the components constituting this structure, the installation of CCI to limit the unbalance factor according to the limit imposed by the moroccan energy provider (ONEE), and the calculation of the power losses generated by the CCI and the comparison with other topologies such as voltage source inverter STATCOM (VSI) and current source inverter STATCOM (CSI). The modelization of the compensator and the results were established using MATLAB/Simulink software by exploiting real data provided by the moroccan railway office (ONCF).
Investigating low order harmonics of sinusoidal pulse width modulation with voltage closed loop control
Authors: Al-Omari Ali Hussein , Al-Zubaidi Saif
Published: June 2022

This paper investigates the low order harmonics of a simplified approach to generate high quality sinusoidal pulse width modulation (SPWM) waveform produced by voltage source inverter (VSI). Programmable interface controllers (PIC) microcontroller was chosen to produce the signals in Real time with voltage feedback to control the puls width during direct current (DC) link voltage reduction. The research considered simplicity, durability, and reliability as conditions. The proposed technique was successfully passed one of the biggest challenges which is time criteria presence due to execution time of the feedback loop and the transient time required for power electronics switches to turn fully off and on, known as dead time. The proposed technique can be considered as practical, high feasibility according to economic point of view and its accuracy to the input variables. The pseudocode, algorithm, and flowchart for closed loop real time voltage control to produce SPWM system using microcontroller was explained, illustrated and verified. The desired objectives were accomplished to achieve system that is able to generate high quality real-time SPWM with closed loop control.
The application of Sugeno fuzzy to control active power load and remaining battery usage time modelling
Authors: Setyo Pambudi Wahyu , Agung Firmansyah Riza , Rahmanto Issany Rizal , Yudha Adhitya Ryan , Syai'in Mat
Published: June 2022

This study aimed to propose a control scheme to optimize the active power load using the pulse-width adjustment technique and the MOSFET driver. The power used and stored in the battery is an input for the fuzzy system whose information is obtained through the current (ACS 712) and voltage sensor readings. The use of fuzzy to control the power of two 5-watt lamps is more efficient than the manual technique using an ordinary switch. This is because fuzzy only consumes 3.25 Watt/hour while the manual technique requires 5.7 Watt/hour. Based on the linear regression-based estimation, the fuzzy technique lasts ±17 hours from the initial power of 55.82 Wh, or 5.5 hours longer than the manual technique that lasts only ±11.5 hours from the initial power of 65.62 Wh. Therefore, this study adjusted the load power to extend battery life and increase solar energy use efficiency and innovations in load control based on available resources.
Management patients information based finger print
Authors: Fakhri Ahmed Bashar , Jameel Huda Farooq , Mahmood Mustafa Falah
Published: June 2022

The fingerprint is certainly one of the distinguishing features of the human body that is easily available and identifies one individual from another. The fingerprint sensor increases this distinctiveness, which is a device that can automatically classify or identify a person. The fingerprint based medical system is a more efficient means of storing clinical data for patients. It makes take advantage of fingerprint recognition technology to quickly and easily for determine the patient's past medical history. The system consists of an Arduino UNO board, a fingerprint sensor, an secure digital (SD) card module, and a micro-SD card. The suggested technology allows the use of a micro-SD card to store patient information as well as send it by internet. When this system was compared to the manual technique, the results indicate that the main advantage is that the proposed device saves a significant amount of time that manual searching and enrolling requires. Patients' information is simply collected and managed with this system, which has enhanced dependability, durability, and efficiency. It provides improved speed and performance, as well as better data security because the data is stored within the device.
Output power control of nuclear reactor using ant lion optimization-based controller
Authors: Boghdady Tarek A. , Ibrahim Mostafa Mahmoud , Zahab Essam Aboul , Sayed Mahmoud
Published: June 2022

Power level control is a critical issue in nuclear power stations due to its nonlinear dynamics. One of the most commonly used controllers is fractional order proportional–integral–derivative (FOPID). The FOPID is an enhanced and modern controlling system that has two additional added parameters. In this paper, comparison between particle swarm, gray wolf and ant lion optimization techniques is performed to determine the FOPID controller parameters. The nuclear reactor is a pressurized water reactor which is a fifth order nonlinear reactor model and is simulated using MATLAB software based on the point kinetic model. The integral square error (ISE) performance index is used to evaluate the performance of the three optimization techniques. The simulation results show that ant lion optimization for tuning the FOPID controller parameters gives the best performance and integral square error index better than the two other optimization techniques.
Predictive and probabilistic modelling using machine learning for building indoor climate control
Authors: Abdufattokhov Shokhjakhon , Mahamatov Nurilla , Ibragimova Kamila , Gulyamova Dilfuza
Published: June 2022

For the last few decades, thermal comfort has been considered an aspect of sustainable building evaluation methods and tools. However, estimating the indoor air temperature of buildings is a complicated task due to the nonlinear behaviour of heating, ventilation and air conditioning systems combined with complex dynamics characterized by the time-varying environment with disturbances. This issue can be alleviated by modelling the building dynamics using Gaussian processes since it also measures the uncertainty bounds. The main focus of this paper is designing a predictive and probabilistic room temperature model of buildings using Gaussian processes and incorporating it into model predictive control to minimize energy consumption and provide thermal comfort satisfaction. We exploited the Gaussian processes’ full probabilistic capabilities as the mean prediction for the room temperature model and used the model uncertainty in the objective function not to lose the desired performance and to design a robust control scheme. We illustrated the potentials of the proposed method in a numerical example with simulation results.
Internet of things-based robot to take care of the Coronavirus patients and sterilize quarantine rooms
Authors: Al-Issa Huthaifa Ahmad , Trrad Issam
Published: June 2022

The medical staff is the first part which is affected in the COVID-19 pandemic, then the workers, whether in the hospital or quarantine hotels who are responsible for cleanliness and sterilization. The goal is to reduce the number of injured and preserve human safety. This led us to think deeply to solve this problem and make the life healthier and to reduce the spread of the virus by using internet of things (IoT). The goal of the research is to develop a special robot to sterilize quarantine rooms and hospitals, measure the patient’s temperature and heart rate, in addition to transporting medicines to patients in order to preserve the safety of the medical staff. So, in order to accomplish this purpose, we will create a proof of concept for the robot. Our robot will have a system capable of performing pre-programmed acts, either under direct human control or under the control of computer programs. This paper can be the basic for future research in the same field.
Design of elderly-assistant mobile servant robot
Authors: Son Nguyen Minh , Tung Than The , Nhut Do Tri , Nhan Nguyen Hoai
Published: June 2022

Recently, elderly population increasing worldwide has put higher pressure on health-care providers and their families. The advent of elderly care robots will reduce that pressure. In this paper, a design of mobile servant robot with integrated tracking algorithm in order to assist the elderly by companionship is proposed not only to help families take care of their elderly at home but also reduce the pressure on health-care providers. The proposed robot is based on humanoid structure and AI-embedded-GPU controller. The design allows the robot to follow the elderly and accompany them in real-time. In addition, the video streaming algorithm with the pipeline mechanism is integrated on robot controllers so that the owner interacts with the elderly through the internet. The robot controller is embedded into hardware of 128 graphics processing unit cores and 4 ARM Cortex-A9 cores in order to execute convolutional neural network (NCNN) algorithms for elderly recognition and body tracking. The processing speed at 14 fps of video stream in real-time. The proposed robot can move on uneven surfaces with a speed at 0.21 m/s and an accuracy over 90%. However, the video stream processing speed is able to be reduced at 15 fps and latency less than 415 ms when four users appear concurrently.
Adaptive filter algorithms for state of charge estimation methods: A comprehensive review
Authors: Zulkifli Shamsul Aizam , Khan Mubashir Hayat
Published: June 2022

Battery management system is compulsory for long life and effective utilization of lithium ion battery. State of charge (SOC) is key parameter of battery management system. SOC estimation isn’t an easy job. Effective estimation of SOC involves complex algorithms where. Conventional methods of SOC estimation does not take continuously varying battery parameters into account thus large noise in both voltage and current signal are observed resulting in inaccurate estimation of SOC. Therefore, in order to improve the accuracy and precision in SOC estimation, improved adaptive algorithms with better filtering are employed and discussed in this paper. These adaptive algorithms calculate time varying battery parameters and SOC estimation are performed while bringing both time scales into account. These time scales may be slow-varying characteristics or fast-varying characteristics of battery. Some experimentations papers have proved that these adaptive filter algorithms protect battery from severe degradation and accurately calculate battery SOC. This paper reviews all previously known adaptive filter algorithms, which is the future of the electrical vehicles. At the end, a comparison is built based upon recent papers which talked on SOC at their differences in control strategies, efficiency, effectiveness, reliability, computational time and cost.
Dual axis solar tracker system using optimal hybrid controller
Authors: Subhi Mohammed Rashid , Hameed Jawad Hamad , Mohammed Hameed Ali
Published: June 2022

Renewable energy plays a crucial role in the modern life. It has several forms, such as wind, hydroelectric, and solar energy. The latter is the most popular energy sources in wide areas. In order to maximize the generated energy from solar panels, these panels should be placed and remain in a vertical position with the sun rays. Therefore, a novel system is proposed in this paper to track the sun rays through designing and implementing a solar tracking system with hybrid controller type (controllino), which a hybrid controller that combines the programmable logic controller (PLC) and microcontroller. This leads us to mix the advantages of PLC and microcontroller thus, get fast and flexible control with several input and output which makes the cost is very low and the software is free and unprotected from the production companies. The system that has been built is controlled by self-controller which has the ability to track the position of the sun and control on the movement of the solar panel in order to keep the direction of the solar panels perpendicular to the sun. As a result, the efficiency will increase without the need to identify the geographical location where the solar panels are located and reduce the cost of generating energy by requiring a minimum number of solar panels.
Linear frequency modulated reverberation suppression using time series models
Authors: Suman Jami Venkata , Hema Mamidipaka , Jagadeesh Bandi
Published: June 2022

When active radar and sonar systems are used for target detection and tracking, boosting target detection, and tracking efficiency is the most important challenge in real-time reverberation. To eliminate reverberation when transmitting linear frequency modulated (LFM) signals, this study employs time series techniques such as autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA). The primary purpose of this research is to whiten LFM reverberation by transforming it to a fractional domain using the fractional Fourier transform (FrFT). The LFM reverberation is a highly coloured noise whose frequency fluctuates according to the stationary hitting frequency. As a reference signal, the proposed methods make use of the adjacent signal block. The effectiveness of FrFT-based AR, MA, and ARMA pre-whitening for LFM reverberation reduction was assessed, and the results were presented.
Stereo matching algorithm based on combined matching cost computation and edge preserving filters
Authors: Zahari Madiha , Affendi Hamzah Rostam , Abd Manap Nurulfajar , Irwan Herman Adi
Published: June 2022

The stereo matching process is one of the key areas that impact the stereo vision technologies which are commonly used in the application of three-dimensional reconstructions. The accuracy of the depth information used in three-dimensional reconstruction is directly proportional to the accuracy of the disparity obtained from stereo matching. The challenging issue in the stereo matching process is to determine the accurate corresponding point between the left image and right image, especially for image pairs that have different exposure such as different illumination and image pair with less texture region. In order to increase the accuracy of disparity value, a new stereo matching algorithm is proposed based on the combination of Sum of absolute different and census transform at matching cost computation. guided filter was used in the matching cost aggregation in order to remove noise and preserve the edge of the image. In the optimization step, the winner take all strategy is used to select the minimum matching cost. Finally, a median filter is applied to the initial disparity map for refinement purposes. The experimental results show that the algorithm is effective in reducing the error and improving the accuracy of the disparity map in different illumination regions, less textured regions and different environmental exposure.
Design and implementation of PC to PC data transmission using wireless visible light communication system
Authors: Jalil Reyhane , Sabbar Adnan , Fakhruldeen Hassan Falah , Jabbar Feryal Ibrahim
Published: June 2022

In this paper a laser-based visible light communication system for PC to PC data transmission has been designed, simulated, and implemented. This type of communication uses light waves in the visible spectrum (380 nm to 750 nm) to deliver data. Visible light communication is any way of transmitting data using visible light. In order to avoid being detected by human eyes, this kind of communication sends information at a slower rate than human vision. Visible light communication is significantly more reliable and capable of high information transmission rates than existing wireless technologies such as Wi-Fi, Bluetooth, and others that use radio frequency spectrum. Laser-based visible light communication systems are low-cost, low-power, and do not require radio interference studies. A diode laser is frequently used to create the signal carrier. Due to its high efficiency, it can transmit data as well as illuminate. Light waves can't be intercepted because they can't penetrate opaque objects, signifying a very secure connection.
Design of Wilkinson power divider at 28 GHz for 5G applications
Authors: Nabila Ridzuan Nurfarhana , Abdul Malek Norun Farihah , Mohd Isa Farah Nadia , Islam Md. Rafiqul , Choon Ivan Ku Chui , Qasem Nidal
Published: June 2022

A power divider plays a significant function in antenna’s feeding network. Many types of power divider exist yet there are only a few existing studies of Wilkinson power dividers at high frequencies (28 GHz) for 5G communications systems. This paper presents a tapered 2-way Wilkinson power divider that operates in Malaysia's 5G wireless communication band (28 GHz). CST microwave studio is used to design, simulate, and optimize the tapered 2-way Wilkinson divider. The simulation results show resonance around 23.5-37.9 GHz. The operating frequency of 28 GHz resulted in power division with a 3.2 dB insertion loss and has an isolation of 19.21 dB. The design can be made wideband with equal power division at each output port by adding an extra resistor along the tapered line to reduce output return loss and isolation, as demonstrated in this paper.
Performance comparison of TOPAS chirped fiber Bragg grating sensor with Tanh and Gaussian apodization
Authors: Irawan Dedi , Ramadhan Khaikal , Saktioto Saktioto , Marwin Azwir
Published: June 2022

In this work we carried out a numerical simulation with software Optigrating for Apodization chirped fiber Bragg grating (CFBG) with TOPAS material to improve sensitivity sensor, it was found that CFBG with a grating length of 50 mm has advantages in terms of ripple factor, side lobe left (SLL), and side lobe right (SLR) with values of -0,998 and -10,5264 dB, respectively. While the 10 mm CFBG has a narrower full-width half maximum (FWHM) with a value of 0.4528 nm. Tanh and Gaussian apodization were arranged in the CFBG design, it was found that the Tanh linear-CFBG had a narrow FWHM but for the ripple factor and the main lobe and side lobes were not good enough compared to the Tanh Cubicroot-CFBG, and the same pattern was also obtained in the Gaussian apodization. The narrow FWHM indicates the accuracy in detecting temperature, as well as the suppression of SLL and SLR. for the effect of apodization on CFBG it was found that The Tanh Linear-CFBG design with TOPAS material has the highest sensitivity which is -51.76 pm/oC compared to other designs.
Analysis of rank-based latency aware fog scheduling using validating internet of things at large scales
Authors: Geetha J. , Zuveria Kottur Shaguftha , Ganiga Riya , Jayalakshmi D. S. , Surabhi Tallapalli
Published: June 2022

With the increase in internet of things (IoT) applications' range and scale, it is essential to test the applications before deploying them in the real world. Most common approaches utilize simulations and testbeds; however, these methods lack real-time failure scenarios and the capability to scale, respectively. A virtual environment is a suitable approach that overcomes these drawbacks further, IoT applications using cloud computing have evolved to shift some computing and storage capabilities to the edge networks for ensuring adherence to strict latency constraints for real-time applications. This led to the emergence of fog computing which provides lower latency and better security, among other advantages. As for any processing tasks, scheduling becomes a critical concern for matching the tasks with the devices having appropriate resources. This paper analyzes a hybridized fog scheduling algorithm based on a ranking approach considering latency as the main parameter. It builds a software layer for scheduling on top of the validating internet of things at large scales (VIoLET) infrastructure. The results are compared with the round-robin scheduling algorithm, and it is found that the hybridized algorithm provides closer actual latency values to the expected.
Analysing corporate social responsibility reports using document clustering and topic modeling techniques
Authors: Nik Mangsor Nik Siti Madihah , Md Nasir Syerina Azlin , Wan Yaacob Wan Fairos , Ismail Zurina , Abdul Rahman Shuzlina
Published: June 2022

Corporate social responsibility (CSR) has become an imperative tool to address challenges and achieve sustainable growth. Realizing its impact to the society, companies are demanded to participate in sustainable development of which poverty eradication is one of it. The CSR practice, to date, is not strategically planned and executed especially when it comes into philanthropic corporate social responsibility (PCSR). This could be due to failure to identify categories of PCSR activities, limiting its effectiveness to achieve the intended outcomes. Thus, document clustering is proposed to be used to automate the pattern identification process. This study has extended document clustering by integrating the traditional document clustering application with topic modeling approach. This integrated approach enables the identification of the PCSR pattern. The analysis involved a three-year data from the annual report of the 25 CSR-award winning companies in Malaysia which involved several steps. Findings from this study revealed seven clusters that represented seven types of PCSR activities performed by the CSR-award winning companies in Malaysia. The findings offer an insight to be considered by companies in strategizing the CSR activities, particularly philanthropic responsibility in ensuring optimum impact to innovatively support the society and contribute towards poverty mitigation.
Perspectives on adherence to ethics standards and behaviour in software development
Authors: Marebane Senyeki Milton , Hans Robert Toyo , Coosner Jacqui
Published: June 2022

Considering the powerful position assumed in creating software that changes human lives and society; it is compelling that in addition to technical standards, ethical standards, especially those captured in codes of ethics and practice be adhered to by software engineers. Despite efforts by professional bodies on ethical standards awareness, it is alleged that software engineers are not able to uphold ethical standards in software development projects. This research study probed lecturers concerned with the teaching of software development courses to determine their perceived levels of ethical standards and behavior. The findings show that the importance of ethical standards is recognized. The respondents reported high levels of ethical standards of their own work, colleagues’ work and their students’ work. Although in general the respondents reported high ethical standards, elements of lesser perceived ethical standards on students indicate the need for improvements. The findings of the study are important to educators and industry to recognize the significance of levels of ethics standards and the role educators have in terms of inculcating such ethical standards early in the making of future software engineers.
A survey of security and smart home automation based on internet of things technology
Authors: Shareef Sarah Mohammed , Abbas Zainab Adnan , Hilal Zahraa Mohammed
Published: June 2022

The internet of things (IoT) refers to the physical tools that are embedded with Internet, software, electronics, sensors and network connectivity. This involves many different systems, for example, healthcare, smart home and so on. The security problem of the Internet of Things and the Smart Home infrastructure is considered, which has become an urgent issue due to the high popularity, low systemic research and the growth of threats to "us" (people seeking comfort) from "them" (surrounding things, which becoming increasingly intelligent, automated). The research is based both on a systemic, infrastructure understanding, and on an architectural, problem-oriented level. Key security risks for the infrastructure of various types-software and technical, technological, socio-psychological and others-were analyzed. The evolutionary problems of the internet of things and factors influencing the vulnerability of infrastructures have been investigated. In addition to traditional network security tasks, specific tasks (direct and reverse, for identification) are highlighted in IoT interactions and environments. This paper provides an overview of the related work in IoT, together with the open challenges and future research directions using Arduino platform (such as "thick server-thin client") to simulation modeling of time delay probability distribution based on identified simple model.
Overcoming camera instability problem for detecting and tracking moving objects in video using reduced data
Authors: Awad Jalal H. , Majeed Balsam D.
Published: June 2022

Moving objects detection is a vital field of study in various applications. Many of such applications may have to capture and process a lot of data, then such these data need to be reduced as much as possible in order to have a reasonable and suitable system for achieving the desired aims efficiently. The proposed algorithm utilizes singular value decomposition (SVD) and Bayer pattern filter for their good properties in producing very representative reduced data. This data is then handled by frame difference objects detection, which in turn is an approach that doesn’t need to handle much data. The camera shaking which can be caused by a windy weather in the case of the outdoor static camera may introduce a frame difference with imprecise moving objects detection, hence frames compensation is conducted utilizing a transformation based on speed up robust feature transform (SURF) detected key points.
Teaching through virtual tools and its effect on the perception of student satisfaction
Authors: Chamorro-Atalaya Omar , Morales-Romero Guillermo , Quispe-Andía Adrián , Villar-Valenzuela Darío , Jeri-Sandoval Alicia , León-Velarde César , Aybar-Bellido Irma
Published: June 2022

In this context of virtualization, the educational sector has seen the need to make use of technological advances, for this reason it is important to know the perception of students, after having fully adapted distance learning through tools. virtual, which have allowed teachers and students to maintain the pedagogical link at a distance, either through the virtual classroom or through the use of simulation software. In this sense, the objective of this article is to identify the perception of teaching through virtual tools in university students and determine its level of effect or relationship in student satisfaction. This research is approached from a qualitative approach using the Likert measurement method and a content analysis methodology using virtual instruments. The results of the study indicate that 92.9% and 89.3% of the students are satisfied, these results focus on the indicators "absolves the questions asked regarding the use of virtual tools" and "knowledge shown by the teacher in the development of the sessions through virtual tools”. Likewise, the correlational analysis, through Spearman's Chi square test, establishes that there is a high relationship or significant effect of 0.850 between the perception of teaching through virtual tools with student satisfaction.
The employment of gamification towards excellence in police services management
Authors: Raflesia Sarifah Putri , Rusdy Taufiqurrahman , Lestarini Dinda , Firdaus Firdaus , Hardiyanti Dinna Yunika
Published: June 2022

Gamification is a motivation and psychological-oriented approach which aims to boost user participation and engagement. It is commonly applied to business process and information systems which need outcomes improvement such as educational system, customer relationship management, human resource management system, health information system, so forth. The main purpose of gamification is using game elements to non-game purpose in order to motivate users. Unfortunately, building gamification system is not similar to build general software because developer needs to identify considerable psychology aspects and also engage other expertise. In this research, gamification framework and its implementation are proposed which took police department as research object. We present gamified-police management system development framework to build the gamified-police management system and its implementation in order to gain police engagement and public trust.
Development of the regional water balance regulation concept based on the geosystem approach
Authors: Yamashkin Anatoliy A. , Yamashkin Stanislav A. , Radovanovic Milan M. , Muchkaeva Natalia S. , Lyamzina Inna S.
Published: June 2022

The article is devoted to solving the scientific problem of the regional water balance regulation concept development. The authors have proposed a methodology for solving the problem of the scarcity of labeled spatial data, based on the geosystem approach. A deep neural network model for the analysis of the geosystem model of the territory is proposed. An approach to the formation of ensembles of classifiers to improve the accuracy of the classification of spatial data is described. It is proved that the hierarchical structuring of geosystems optimizes diagnostics of the leading agents of physical and geographical factors interaction, patterns of spatio-temporal changes in their states, direction of metabolic processes and transformation of matter and energy development. Studies have shown that the combination of factors variety in the water balance formation forms many types of water resources conditions formation.
Big data based architecture to bringing together graduates and recruiters: case of Moroccan University
Authors: Hamdane Abdemounaime , Belhaj Nadir , El Hamdaoui Halima , Aissaoui Karima , El Bekkali Moulhime , Houda Chaoui Nour El
Published: June 2022

Due to the current health crisis caused by covid 19, a negative impact has occurred on the global economy and more specifically on employability. Many people have lost their jobs or have seen their incomes drop. Nowadays, the search for job offers or potential candidates is done mainly online, where several platforms already exist (LinkedIn, Viadeo or others online recruitment systems). These solutions are particularly difficult to use due to the volume of data to be found and the manual compatibility check. In addition, the surplus of unqualified candidates and unverified resumes is a major concern of online recruiting systems. What we propose in this article is a framework that helps bridge the gap between graduates and recruiters through a big data architecture for university based on a real and certified database of graduates and companies.
React: A detailed survey
Authors: Komperla Varun , Pratiba Deenadhayalan , Ghuli Poonam , Pattar Ramakanthkumar
Published: June 2022

developments in technology and the ever-growing number of web applications, it has become a necessity to create fast and scalable applications to cater to the current market. There are a plethora of frameworks available for web development, and a developer must choose the most appropriate framework for their use. In this paper, a detailed analysis of the history, prominent features and advantages of React, an open-source JavaScript library is presented. A discussion on React Native, a framework for building native applications is also given. This paper has provided an insight into the reason React is the leading web development framework in the world.
Development of geo-referenced agricultural map and management information system for Samar Island
Authors: Sabate Charito Dela Cruz , Labrador Mirador
Published: June 2022

This study focuses on the developed web-based information system which allows local government unit (LGU) in Samar Island and other agricultural sectors to have access to updated farmers’ information and the soil nutrient, soil fertility status, and the crop suitability of soil in the different municipalities of Samar. Geo-referenced agricultural map and management system can be an important tool for both operational and policy levels by accelerating the supply of up-to-date data, supporting the implementation of different types of projects targeting objectives such as municipal development, regional economic development, agricultural development, sustainable resource management, good governance, and many others. The management information system was developed using MySQL. The server-side language used in this study was PHP and the client-side language used was hypertext markup language (HTML). The map was created using Mapbox GL JS, then, geo-referenced map layers are saved to the local server as an array map for direct access via the front-end web application. With the use of the system, LGU in Samar Island and other agricultural sectors can implement project more efficiently because farmers’ information and the nutrient capacity of the soil is readily available.
Sentiment analysis on vaccine COVID-19 using word count and Gaussian Naïve Bayes
Authors: Ramadhan Nur Ghaniaviyanto , Adhinata Faisal Dharma
Published: June 2022

Since the Coronavirus disease 2019 (COVID-19) pandemic hit the world, it had a significant negative impact on individuals, governments, and the global economy. One way to reduce the negative impact of COVID-19 is to vaccinate. Briefly, vaccination aims to enable the formed immune system to remember the characteristics of the targeted viral pathogen and be able to initiate an immune response that is rapid and strong enough to defeat future live viral pathogens. However, there are still many people in the world who are anti-vaccine. This certainly greatly hampers the process of accelerating the formation of the body's immune system widely in the community. Anti-vaccine people can be found on various social media platforms. Twitter was chosen as the data source because twitter is a common source of text for sentiment analysis. This study aims to analyze public sentiment on the COVID-19 vaccine through twitter in the form of tweets and retweets. This study uses the Gaussian Naïve Bayes method to see the results of the classification of sentiment analysis. The results obtained based on experiments prove that the Gaussian Naïve Bayes method can produce an average accuracy of 97.48% for each vaccine dataset used.
A bootstrap aggregation approach for adequate crop fertilizer and nutrition recommendation
Authors: D. N. Varshitha , Choudhary Savita
Published: June 2022

Agriculture is the largest workforce of India and biggest contributor to the Indian economy. Improving agricultural practices with the help of modern computer science technologies have great scope. Helping the farmers to know about their soil fertility, crops which can be grown and fertilizers or nutrients required for their land will be valuable inputs for them. Too much or too little fertilizers may harm the soil, so right amount of fertilization is also important. In this paper we have discussed about the bootstrap aggregation regression method, which is an ensemble machine learning technique to recommend the optimum level of nutrients and fertilizers. Hence customized nutrients recommendation reports could be generated to suggest the fertilizers and nutrients with their adequate quantities. This will be really beneficial for farmers to maintain the soil health and helpful for better crop growth and yield. We consider the features and levels of soil parameters such as nitrogen, phosphorus, potassium (NPK), pH level, organic carbon, electric conductivity, humidity, rainfall and other micro nutrients for predicting the right amount of fertilizers and nutrients. We have also checked other regression methods to compare the results based on the previous work done in the same field.
Based on mesh sensor network: design and implementation of security monitoring system with Bluetooth technology
Authors: Hameed Bilal Hashim , Taher Anmar Yahya , Ibrahim Raed Khalid , Ali Adnan Hussein , Hussein Yasser Adnan
Published: June 2022

One of the most critical aspects to consider in wireless sensor networks is security, particularly in internet of things (IoT) implementations. Sensor network applications had risen in the past 5 years since these networks have been used in various parts of life (smart residential and commercial buildings, medical, and agriculture). In this study, we provide a novel network of sensors based on the Bluetooth network that may be used to protect commercial buildings. The Bluetooth type HC 06 was chosen since it has a low energy consumption and a communication range of 100 meters. Such security network includes motion sensors and control cameras that are controlled by an Arduino Nano microcontroller. The motion sensor's primary characteristics are solely applicable to humans, and the Arduino Nano is an open-source microcontroller. The key benefit of this research is that it demonstrates how to create a low-cost Bluetooth sensor security network with limited storage space for control movies.
Exploiting Data Uncertainty for Improving the Performance of a Quantitative Analysis Model for Laser-Induced Breakdown Spectroscopy
Authors: Qin Huaiqing , Yu Ziyu , Lu Zhimin , Yu Zhuliang , Yao Shunchun
Published: June 2022

The accuracy and precision of laser-induced breakdown spectroscopy (LIBS) quantitative analysis are significantly limited by the spectral noise. Normalization and ensemble averaging of multiple spectra were often used to preprocess spectra. However, these methods cannot completely remove the spectral noise. Data uncertainty due to the irremovable spectral noise will affect LIBS quantitative analysis. Therefore, this paper proposes a method using data uncertainty to improve the performance of LIBS quantitative analysis. The proposed method uses several spectra to characterize each sample to preserve some data uncertainty in the calibration data matrix. Thus, the data uncertainty is used to optimize the calibration model for improving the toleration to the spectral signal variation. As a result, the optimized calibration model had better accuracy and robustness than the calibration model trained by conventional method. The best root mean square error of prediction (RMSEP) of the ash content of coal was 1.152% for the optimized calibration model, while that for the conventional calibration model was 1.718%. The optimized calibration model also showed a lower relative standard deviation (RSD) value of repeated predictions. Moreover, the calibration model for predicting the ash content in biomass was also optimized by the proposed method. The optimized calibration model outperformed the conventional calibration model again, which demonstrated the extensive applicability of the proposed method.
Opioid Use in Vaso-Occlusive Crisis During Intravenous Opioid Drug Shortage
Authors: Katsivalis Katherine V. , Kosacz Jeremy , Austin Szwak Jennifer
Published: June 2022

Introduction: In October 2017, the Food and Drug Administration announced a shortage of intravenous (IV) opioid medications. Patients with sickle cell disease (SCD) are particularly vulnerable, as high amounts of IV opioid medications are standard therapy during vaso-occlusive crises (VOC). Our institution responded to the crises by implementing IV to oral (PO) conversions of opioid therapies and encouraging multimodal pain management with non-opioid medications. Objectives: The primary objective was the assessment of IV opioid medication utilization before and during the shortage. Secondary objectives included total opioid consumption, length of stay, and prescribing of non-opioid analgesics. Methods: This single-institution retrospective study included patients >18 years of age admitted to adult medicine teams with VOC during February 2017 or February 2018. The amount of opioid medication administered to patients during both periods was assessed, and quantities were then converted to PO morphine milligram equivalents and compared between years. The number of patients receiving scheduled non-opioid medications were also compared. Length of stay and readmissions were compared between years. Results: Between 2017 and 2018, IV opioid use for VOC decreased by 52% on inpatient services, and there was a 34% reduction in overall opioid use. Oral opioid use more than doubled during the period (10.2% in 2017 vs 39.1% in 2018, P < .01). LOS between 2017 and 2018 (6 vs 6 days, P = .4774) and total number of ED visits (27 vs 8, P = .276) were similar. There were significantly fewer 30-day readmissions in 2018 versus 2017 (15 vs 28, P = .025). Conclusion: The implementation of IV opioid restrictions resulted in a decrease in IV opioid use in treatment of VOC in patients with SCD without causing increases in length of stay or readmissions. Oral opioids should be considered an option for VOC management in patients with SCD.
In the Room, but no Seat at the Table: Mixed Methods Analysis of HBCU Women Faculty and Workplace Bullying
Authors: Hollis Leah P.
Published: June 2022

With gendered organization theory and n = 201 Historically Black Colleges and Universities women faculty, the following is addressed: RQ1 Which Historically Black Colleges and University women faculty, those at schools with or without an anti-bullying policy, are more likely to report workplace bullying? RQ2 What is the relationship between workplace bullying intensity and time spent strategizing against bullying, health problems, and organizational distrust for Historically Black Colleges and University women faculty? RQ3 How does workplace bullying affect the experiences of Historically Black Colleges and University women faculty? The mixed methods findings confirm the need for preventative structural changes policies to empower women.