bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal linear quadratic Gaussian control based frequency regulation with communication delays in power system
Authors: Lai Hoan Bao , Tran Anh-Tuan , Huynh Van , Amaefule Emmanuel Nduka , Tran Phong Thanh , Phan Van-Duc
Published: November 2021

In this paper, load frequency regulator based on linear quadratic Gaussian (LQG) is designed for the MAPS with communication delays. The communication delay is considered to denote the small time delay in a local control area of a wide-area power system. The system is modeled in the state space with inclusion of the delay state matrix parameters. Since some state variables are difficult to measure in a real modern multi-area power system, Kalman filter is used to estimate the unmeasured variables. In addition, the controller with the optimal feedback gain reduces the frequency spikes to zero and keeps the system stable. Lyapunov function based on the LMI technique is used to re-assure the asymptotically stability and the convergence of the estimator error. The designed LQG is simulated in a two area connected power network with considerable time delay. The result from the simulations indicates that the controller performed with expectation in terms of damping the frequency fluctuations and area control errors. It also solved the limitation of other controllers which need to measure all the system state variables.
Comparison of backstepping, sliding mode and PID regulators for a voltage inverter
Authors: Majdoul Radouane , Touati Abdelwahed , Ouchatti Abderrahmane , Taouni Abderrahim , Abdelmounim Elhassane
Published: November 2021

In the present paper, an efficient and performant nonlinear regulator is designed for the control of the pulse width modulation (PWM) voltage inverter that can be used in a standalone photovoltaic microgrid. The main objective of our control is to produce a sinusoidal voltage output signal with amplitude and frequency that are fixed by the reference signal for different loads including linear or nonlinear types. A comparative performance study of controllers based on linear and non-linear techniques such as backstepping, sliding mode, and proportional integral derivative (PID) is developed to ensure the best choice among these three types of controllers. The performance of the system is investigated and compared under various operating conditions by simulations in the MATLAB/Simulink environment to demonstrate the effectiveness of the control methods. Our investigation shows that the backstepping controller can give better performance than the sliding mode and PID controllers. The accuracy and efficiency of the proposed backstepping controller are verified experimentally in terms of tracking objectives.
Modified T-type topology of three-phase multi-level inverter for photovoltaic systems
Authors: Ouchatti Abderrahmane , Majdoul Redouane , Moutabir Ahmed , Taouni Abderrahim , Touati Abdelouahed
Published: November 2021

In this article, a three-phase multilevel neutral-point-clamped inverter with a modified t-type structure of switches is proposed. A pulse width modulation (PWM) scheme of the proposed inverter is also developed. The proposed topology of the multilevel inverter has the advantage of being simple, on the one hand since it does contain only semiconductors in reduced number (corresponding to the number of required voltage levels), and no other components such as switching or flying capacitors, and on the other hand, the control scheme is much simpler and more suitable for variable frequency and voltage control. The performances of this inverter are analyzed through simulations carried out in the MATLAB/Simulink environment on a three-phase inverter with 9 levels. In all simulations, the proposed topology is connected with R-load or RL-load without any output filter.
Position control for haptic device based on discrete-time proportional integral derivative controller
Authors: Tan Nguyen Van , Dang Khoa Nguyen , Dai Pham Duc , Van Long Vu
Published: November 2021

Haptic devices had known as advanced technology with the goal is creating the experiences of touch by applying forces and motions to the operator based on force feedback. Especially in unmanned aerial vehicle (UAV) applications, the position of the end-effector Falcon haptic sets the velocity command for the UAV. And the operator can feel the experience vibration of the vehicle as to the acceleration or collision with other objects through a forces feedback to the haptic device. In some emergency cases, the haptic can report to the user the dangerous situation of the UAV by changing the position of the end-effector which is be obtained by changing the angle of the motor using the inverse kinematic equation. But this solution may not accurate due to the disturbance of the system. Therefore, we proposed a position controller for the haptic based on a discrete-time proportional integral derivative (PID) controller. A Novint Falcon haptic is used to demonstrate our proposal. From hardware parameters, a Jacobian matrix is calculated, which combines with the force output from the PID controller to make the torque for the motors of the haptic. The experiment was shown that the PID has high accuracy and a small error position.
Deep segmentation of the liver and the hepatic tumors from abdomen tomography images
Authors: Elmenabawy Nermeen , El-Seddek Mervat , Moustafa Hossam El-Din , Elnakib Ahmed
Published: November 2021

A pipelined framework is proposed for accurate, automated, simultaneous segmentation of the liver as well as the hepatic tumors from computed tomography (CT) images. The introduced framework composed of three pipelined levels. First, two different transfers deep convolutional neural networks (CNN) are applied to get high-level compact features of CT images. Second, a pixel-wise classifier is used to obtain two output-classified maps for each CNN model. Finally, a fusion neural network (FNN) is used to integrate the two maps. Experimentations performed on the MICCAI’2017 database of the liver tumor segmentation (LITS) challenge, result in a dice similarity coefficient (DSC) of 93.5% for the segmentation of the liver and of 74.40% for the segmentation of the lesion, using a 5-fold cross-validation scheme. Comparative results with the state-of-the-art techniques on the same data show the competing performance of the proposed framework for simultaneous liver and tumor segmentation.
Audio steganography based on least significant bits algorithm with 4D grid multi-wing hyper-chaotic system
Authors: Abdulkadhim Hussein Abdulameer , Shehab Jinan Nsaif
Published: November 2021

Although variety in hiding methods used to protect data and information transmitted via channels but still need more robustness and difficulty to improve protection level of the secret messages from hacking or attacking. Moreover, hiding several medias in one media to reduce the transmission time and band of channel is the important task and define as a gain channel. This calls to find other ways to be more complexity in detecting the secret message. Therefore, this paper proposes cryptography/steganography method to hide an audio/voice message (secret message) in two different cover medias: audio and video. This method is use least significant bits (LSB) algorithm combined with 4D grid multi-wing hyper-chaotic (GMWH) system. Shuffling of an audio using key generated by GMWH system and then hiding message using LSB algorithm will provide more difficulty of extracting the original audio by hackers or attackers. According to analyses of obtained results in the receiver using peak signal-to-noise ratio (PSNR)/mean square error (MSE) and sensitivity of encryption key, the proposed method has more security level and robustness. Finally, this work will provide extra security to the mixture base of crypto-steganographic methods.
A combination of least significant bit and deflate compression for image steganography
Authors: Tayyeh Huda Kadhim , Ahmed AL-Jumaili Ahmed Sabah
Published: November 2021

Steganography is one of the cryptography techniques where secret information can be hidden through multimedia files such as images and videos. Steganography can offer a way of exchanging secret and encrypted information in an untypical mechanism where communicating parties can only interpret the secret message. The literature has shown a great interest in the least significant bit (LSB) technique which aims at embedding the secret message bits into the most insignificant bits of the image pixels. Although LSB showed a stable performance of image steganography yet, many works should be done on the message part. This paper aims to propose a combination of LSB and Deflate compression algorithm for image steganography. The proposed Deflate algorithm utilized both LZ77 and Huffman coding. After compressing the message text, LSB has been applied to embed the text within the cover image. Using benchmark images, the proposed method demonstrated an outperformance over the state of the art. This can proof the efficacy of using Deflate as a data compression prior to the LSB embedding.
Design and development of DrawBot using image processing
Authors: Vaidyanathan Krithika , Murugan Nandhini , Chinnamuthu Subramani , Shivasubramanian Sivashanmugam , Raghavendran Surya , Chinnaiyan Vimala
Published: November 2021

Extracting text from an image and reproducing them can often be a laborious task. We took it upon ourselves to solve the problem. Our work is aimed at designing a robot which can perceive an image shown to it and reproduce it on any given area as directed. It does so by first taking an input image and performing image processing operations on the image to improve its readability. Then the text in the image is recognized by the program. Points for each letter are taken, then inverse kinematics is done for each point with MATLAB/Simulink and the angles in which the servo motors should be moved are found out and stored in the Arduino. Using these angles, the control algorithm is generated in the Arduino and the letters are drawn.
Convergence analysis of the triangular-based power ﬂow method for AC distribution grids
Authors: Herrera Maria Camila , Montoya Oscar Danilo , Molina-Cabrera Alexander , Grisales-Noreña Luis Fernando , Giral-Ramirez Diego Armando
Published: November 2021

This paper addresses the convergence analysis of the triangular-based power flow (PF) method in alternating current radial distribution networks. The PF formulation is made via upper-triangular matrices, which enables finding a general iterative PF formula that does not require admittance matrix calculations. The convergence analysis of this iterative formula is carried out by applying the Banach fixed-point theorem (BFPT), which allows demonstrating that under an adequate voltage profile the triangular-based PF always converges. Numerical validations are made, on the well-known 33 and 69 distribution networks test systems. Gauss-seidel, newton-raphson, and backward/forward PF methods are considered for the sake of comparison. All the simulations are carried out in MATLAB software.
Enhanced dynamic source routing for verifying trust in mobile ad hoc network for secure routing
Authors: Syed Salman Ali , Ali Shahzad
Published: November 2021

Secure data transfer in mobile ad hoc network (MANET) against malicious attacks is of immense importance. In this paper, we propose a new enhanced trust model for securing the MANET using trust-based scheme that uses both blind trust and referential trust. In order to do this, the trust relationship function has to be integrated with the dynamic source routing (DSR) protocol for making the protocol more secure. We thoroughly analyze the DSR protocol and generate the performance matrices for the data pertaining to packets sent, packets received, packets loss, and throughput. We also analyze the outcome attained from the improvised trust establishment scheme by using the three algorithm implementations in NS2 simulator for detecting and preventing various types of attacks.
Specification of downlink-fixed reference channel DL-FRC for 5G new radio technology
Authors: Al-Azzwi Fatima Faydhe , Khamees Ruaa Ali , Lateef Zina Abdul , Al-Azzawi Batool Faydhe
Published: November 2021

The next generation for mobile communication is new radio (NR) that supporting air interface which referred to the fifth generation or 5G. Long term evolution (LTE), universal mobile telecommunications system (UMTS), and global system for mobile communication (GSM) are 5G NR predecessors, also referred to as fourth generation (4G), third generation (3G) and second generation (2G) technologies. Pseudo-noise (PN) code length and modulation technique used in the 5G technology affect the output spectrum and the payload of DL-FRC specification, in this paper quadrature phase shift keying (QPSK), 16 QAM modulation approaches tested under additive white Gaussian noise (AWGN) in term of bit error rate (BER) which used with 5G technology system implemented with MATLAB-Simulink and programing and, resulting of 1672, 12296 bit/slot payload at frequency range FR1 from 450 MHz-6 GHz and 4424, 20496 bit/slot payload at frequency range FR2 from 24.25 GHz-52.6 GHz, also determining subcarrier spacing, allocated source block, duplex mode, payload bit/slot, RBW (KHz), sampling rate (MHz), the gain and the bandwidth of main, side loop where illustrated.
Designing an optical frequency comb generator for visible light communication applications
Authors: Mohsin Marwa Jaleel , Murdas Ibrahim A.
Published: November 2021

The optical frequency comb generator (OFCG) is an efficient optoelectronic device that is included in many important applications over a various field such as microwave and optical communication. A novel scheme of OFCG presented in this work for visible light communication application based on amplitude modulation, radio frequency (RF) signal, phase shift and two Mach-Zehnder modulators (MZMs), our design features are simple with more efficient power and premium flatness of comb lines, the number of generating frequencies lines was 64 with a power stronger than -2 dBm over a 340 GHz bandwidth from a single continuous laser diode. Different chirping factor (α) of MZMs are implemented (3, 5, 7), as the results the best results related to α=5 with extra flatness, the system was designed and simulated by VPI design suite 9.8.
Technical analysis of content placement algorithms for content delivery network in cloud
Authors: Jayakumar Suman , Sheelvanthmath Prakash , Akki Channappa Baslingappa
Published: November 2021

Content placement algorithm is an integral part of the cloud-based content de-livery network. They are responsible for selecting a precise content to be re-posited over the surrogate servers distributed over a geographical region. Although various works are being already carried out in this sector, there are loopholes connected to most of the work, which doesn't have much disclosure. It is already known that quality of service, quality of experience, and the cost is always an essential objective targeting to be improved in existing work. Still, there are various other aspects and underlying reasons which are equally important from the design aspect. Therefore, this paper contributes towards reviewing the existing approaches of content placement algorithm over cloud-based content delivery network targeting to explore open-end re-search issues.
A novel predictive model for capturing threats for facilitating effective social distancing in COVID-19
Authors: Firdose Salma , Swapna Kumar Surendran , Gayan Narendra Meegama Ravinda
Published: November 2021

Social distancing is one of the simple and effective shields for every individual to control spreading of virus in present scenario of pandemic coronavirus disease (COVID-19). However, existing application of social distancing is a basic model and it is also characterized by various pitfalls in case of dynamic monitoring of infected individual accurately. Review of existing literature shows that there has been various dedicated research attempt towards social distancing using available technologies, however, there are further scope of improvement too. This paper has introduced a novel framework which is capable of computing the level of threat with much higher degree of accuracy using distance and duration of stay as elementary parameters. Finally, the model can successfully classify the level of threats using deep learning. The study outcome shows that proposed system offers better predictive performance in contrast to other approaches.
Word-based encryption algorithm using dictionary indexing with variable encryption key length
Authors: Al-Jarrah Ahmad , Albsharat Amer , Al-Jarrah Mohammad
Published: November 2021

This paper proposes a new algorithm for text encryption utilizing English words as a unit of encoding. The algorithm vanishes any feature that could be used to reveal the encrypted text through adopting variable code lengths for the English words, utilizing a variable-length encryption key, applying two-dimensional binary shuffling techniques at the bit level, and utilizing four binary logical operations with randomized shuffling inputs. English words that alphabetically sorted are divided into four lookup tables where each word has assigned an index. The strength of the proposed algorithm concluded from having two major components. Firstly, each lookup table utilizes different index sizes, and all index sizes are not multiples of bytes. Secondly, the shuffling operations are conducted on a two-dimensional binary matrix with variable length. Lastly, the parameters of the shuffling operation are randomized based on a randomly selected encryption key with varying size. Thus, the shuffling operations move adjacent bits away in a randomized fashion. Definitively, the proposed algorithm vanishes any signature or any statistical features of the original message. Moreover, the proposed algorithm reduces the size of the encrypted message as an additive advantage which is achieved through utilizing the smallest possible index size for each lookup table.
Security and imperceptibility improving of image steganography using pixel allocation and random function techniques
Authors: F. Abbas Noor Alhuda , Abdulredha Nida , Ibrahim Raed Khalid , Ali Adnan Hussein
Published: November 2021

Information security is one of the main aspects of processes and methodologies in the technical age of information and communication. The security of information should be a key priority in the secret exchange of information between two parties. In order to ensure the security of information, there are some strategies that are used, and they include steganography and cryptography. An effective digital image-steganographic method based on odd/even pixel allocation and random function to increase the security and imperceptibility has been improved. This lately developed outline has been verified for increasing the security and imperceptibility to determine the existent problems. Huffman coding has been used to modify secret data prior embedding stage; this modified equivalent secret data that prevent the secret data from attackers to increase the secret data capacities. The main objective of our scheme is to boost the peak-signal-to-noise-ratio (PSNR) of the stego cover and stop against any attack. The size of the secret data also increases. The results confirm good PSNR values in addition of these findings confirmed the proposed method eligibility.
Hybrid scheduling algorithms in cloud computing: a review
Authors: Arora Neeraj , Banyal Rohitash Kumar
Published: November 2021

Cloud computing is one of the emerging fields in computer science due to its several advancements like on-demand processing, resource sharing, and pay per use. There are several cloud computing issues like security, quality of service (QoS) management, data center energy consumption, and scaling. Scheduling is one of the several challenging problems in cloud computing, where several tasks need to be assigned to resources to optimize the quality of service parameters. Scheduling is a well-known NP-hard problem in cloud computing. This will require a suitable scheduling algorithm. Several heuristics and meta-heuristics algorithms were proposed for scheduling the user's task to the resources available in cloud computing in an optimal way. Hybrid scheduling algorithms have become popular in cloud computing. In this paper, we reviewed the hybrid algorithms, which are the combinations of two or more algorithms, used for scheduling in cloud computing. The basic idea behind the hybridization of the algorithm is to take useful features of the used algorithms. This article also classifies the hybrid algorithms and analyzes their objectives, quality of service (QoS) parameters, and future directions for hybrid scheduling algorithms.
Four dimensional hyperchaotic communication system based on dynamic feedback synchronization technique for image encryption systems
Authors: Alibraheemi Hayder Mazin Makki , Al-Gayem Qais , Hussein Ehab AbdulRazzaq
Published: November 2021

This paper presents the design and simulation of a hyperchaotic communication system based on four dimensions (4D) Lorenz generator. The synchronization technique that used between the master/transmitter and the slave/receiver is based on dynamic feedback modulation technique (DFM). The mismatch error between the master dynamics and slave dynamics are calculated continuously to maintain the sync process. The information signal (binary image) is masked (encrypted) by the hyperchaotic sample x of Lorenz generator. The design and simulation of the overall system are carried out using MATLAB Simulink software. The simulation results prove that the system is suitable for securing the plain-data, in particular the image data with a size of 128×128 pixels within 0.1 second required for encryption, and decryption in the presence of the channel noise. The decryption results for gray and colored images show that the system can accurately decipher the ciphered image, but with low level distortion in the image pixels due to the channel noise. These results make the proposed cryptosystem suitable for real time secure communications.
Framework of diacritic segmentation for Arabic handwritten document
Authors: Shiekh Ahmed Abdalla , Azmi Mohd Sanusi , Aziz Maslita Abd , Al-Mhiqani Mohammed Nasser , Bafjaish Salem Saleh
Published: November 2021

In recent Arabic standard language and Arabic dialectal texts, diacritics and short vowels are absent. There are some exceptions have been made for the Arabic beginner learner scripts, religious texts and as well as a significant political text. In addition, the text without diacritics is considered ambiguous due to numerous words with different diacritic marks seem identical. However, this paper we present a framework for segmenting diacritics from Arabic handwritten document by using region-based segmentation technique. Since Arabic handwritten and Mushaf Al-Quran contain many diacritical marks. Hence, the diacritics must be properly extracted from Arabic handwritten document to avoid losing some good features. Furthermore, the proposed framework is devised specifically to segment diacritics from Arabic handwritten image, thus there will be no feature extraction, feature selection, and classification processes included. Besides, we will present the methodology that is used to fulfil the objectives of this paper. The pre-processing phases will be explained and more specifically segmentation phase for segmenting diacritics which is the phase we concentrate more in this article. Lastly, we will identify the proposed technique region-based segmentation to facilitate our development throughout the experimental process.
Readiness in using online interactive platforms for remote teaching
Authors: Omar Siti Fatimah , Nawi Haslinda Sutan Ahmad , Mee Rita Wong Mee , Pek Lim Seong , Shahdan Tengku Shahrom Tengku , Woo Adelaide
Published: November 2021

Technological advances offer a new shift of change for society. In this era, it is almost impossible to come by without its help. The Malaysian government has invested highly in information and communications technology (ICT) for online teaching and learning at the current time. Digital technologies have been integrated into the teaching and learning process in almost all public or private schools in Malaysia. The use of multimedia tools has enabled learners to understand difficult concepts or ideas and different types of learning preferences. The purpose of the study is to identify pre-service teachers’ perceptions towards using online teaching platforms as a mode of teaching tool in carrying out service-learning in the period of the Covid-19 pandemic. Survey research was carried out on 94 final-year pre-service teachers from diploma in teaching english as a second language. Findings revealed that pre-service teachers had shown positive perceptions of online teaching platforms for remote teaching. Findings had also shown that pre-service teachers preferred blended learning by combining both classroom and online teaching over traditional classrooms per se.
Electricity consumption forecasting using DFT decomposition based hybrid ARIMA-DLSTM model
Authors: Yakubu Osman , C. Narendra Babu
Published: November 2021

Forecasting electricity consumption is vital, it guides policy makers and electricity distribution companies in formulating policies to manage production and curb pilfering. Accurately forecasting electricity consumption is a challenging task. Relying on a single model to forecast electricity consumption data which comprises both linear and nonlinear components produces inaccurate results. In this paper, a hybrid model using autoregressive integrated moving average (ARIMA) and deep long short-term memory (DLSTM) model based on discrete fourier transform (DFT) decomposition is presented. Aided by its superior decomposition capability, filtering using DFT can efficiently decompose the data into linear and nonlinear components. ARIMA is employed to model the linear component, while DLSTM is applied on the nonlinear component; the two predictions are then combined to obtain the final predicted consumption. The proposed techniques are applied on the household electricity consumption data of France to obtain forecasts for one day, one week and ten days ahead consumption. The results reveal that the proposed model outperforms other benchmark models considered in this investigation as it attained lower error values. The proposed model could accurately decompose time series data without exhibiting a performance degradation, thereby enhancing prediction accuracy.
E-learning virtual meeting applications: A comparative study from a cybersecurity perspective
Authors: Karim Nader Abdel , Ali Ahmed Hussain
Published: November 2021

During the coronavirus disease 2019 (COVID-19) pandemic outbreak, the lockdown of all activities including schools and universities became a normal habit, forcing educational institutes to find new ways to ensure the continuity of the learning process. E-learning is considered the best choice at this stage whereas using video conferencing or virtual meeting applications (VM) apps is the most common solution. In this research, security issues and possible cyber-attacks that may occur due to the use of the most popular VM apps used by educational institutes (i.e., Zoom, Microsoft Teams, and Google meet) are discussed. Moreover, the security features of these applications are briefly explained. Furthermore, a comprehensive comparison from a cybersecurity perspective between VM apps was made. The results show that Google Meet was the most secure against cyber-attacks, followed by the Microsoft Teams and finally the Zoom app.
A semantic web services discovery approach integrating multiple similarity measures and k-means clustering
Authors: Fariss Mourad , Allali Naoufal El , Asaidi Hakima , Bellouki Mohamed
Published: November 2021

Web service (WS) discovery is an essential task for implementing complex applications in a service oriented architecture (SOA), such as selecting, composing, and providing services. This task is limited semantically in the incorporation of the customer’s request and the web services. Furthermore, applying suitable similarity methods for the increasing number of WSs is more relevant for efficient web service discovery. To overcome these limitations, we propose a new approach for web service discovery integrating multiple similarity measures and k-means clustering. The approach enables more accurate services appropriate to the customer's request by calculating different similarity scores between the customer's request and the web services. The global semantic similarity is determined by applying k-means clustering using the obtained similarity scores. The experimental results demonstrated that the proposed semantic web service discovery approach outperforms the state-of-the approaches in terms of precision (98%), recall (95%), and F-measure (96%). The proposed approach is efficiently designed to support and facilitate the selection and composition of web services phases in complex applications.
A low-cost development of automatic weather station based on Arduino for monitoring precipitable water vapor
Authors: Suparta Wayan , Warsita Aris , Ircham Ircham
Published: November 2021

Water vapor is the engine of the weather system. Continuous monitoring of its variability on spatial and temporal scales is essential to help improve weather forecasts. This research aims to develop an automatic weather station at low cost using an Arduino microcontroller to monitor precipitable water vapor (PWV) on a micro-scale. The surface meteorological data measured from the BME280 sensor is used to determine the PWV. Our low-cost systems also consisted of a DS3231 real-time clock (RTC) module, a 16×2 liquid crystal display (LCD) module with an I2C, and a micro-secure digital (micro-SD) card. The core of the system employed the Arduino Uno surface mount device (SMD) R3 board. The measurement results for long-term monitoring at the tested sites (ITNY and GUWO) found that the daily mean error of temperature and humidity values were 1.30% and 3.16%, respectively. While the error of air pressure and PWV were 0.092% and 2.61%, respectively. The PWV value is higher when the sun is very active or during a thunderstorm. The developed weather system is also capable of measuring altitude on pressure measurements and automatically stores daily data. With a total cost below 50 dollars, all major and support systems developed are fully functional and stable for long-term measurements.
Automating the mixing and spraying stage of the instant mashed potato process
Authors: Morales-Romero Guillermo , Quispe-Andía Adrián , Trinidad-Loli Nicéforo , Caycho-Salas Beatriz , Guía-Altamirano Teresa , Palacios-Huaraca Carlos , Chamorro-Atalaya Omar
Published: November 2021

The article describes a control logic used to automate the mixing stage of the instant mashed potato process, in order to improve the quality of the final product. Thus, initially the characteristics of the automated process are detailed, specifying the programming logic on the programmable logic controller, to later demonstrate through a data collection process the percentage of improvement in the quality of the final product from the perspective of the users. Indicators: percentage of humidity in the mixing stage, water absorption index (IAA), water solubility index (ISA) and hydrogen potential (pH). The development of the research concludes that the automation of the process, achieved that the IAA index and the ISA index, obtained in the spraying stage, improve by 8.13% and 23.05%, respectively, finding analyzed values within the optimal ranges. This in turn reflected a 39.61% improvement with respect to the humidity percentage, measured in the mixing stage, thus improving the quality of the final product, which brings with it a significant increase of 84.44% in production levels.
A cloud based 3-tier data security framework for industrial internet of things
Authors: Labrador Mirador G. , Bordios Abegail , Hou Weiyan
Published: November 2021

The convergence of microelectronics and micromechanical system within a sensing device, the proliferation of wireless communication, and the use of software-driven equipment are already changing the landscape of the manufacturing industries. This situation compels the industries to adopt industrial internet of things (IIoT) systems and processes with the main objective-to improve the processes and increase production. However, it is undeniable that despite IIoT advantages, it posed significant issues on the security and privacy on industry automation especially along data generation and control system. Hence, this paper proposes a cloud based 3-tier data security framework that performs two-level security verification processes. The framework has been tested and validated using an experimental industry automation system and has been found to be functionally effective with an acceptable handoff delay.
High performance of solar panel based on new cooling and cleaning technique
Authors: Abbas Ahmed Khudhair , Abed Kaleid Waleed , Abd Osama Ibrahim , Al Mashhadany Yousif , Jasim Abdulrahman Hammad
Published: November 2021

There is a requirement for an elective wellspring of inexhaustible and earth feasible electrical vitality because of expanded power use and an unnatural weather change issues the world over. With the accumulation of dust and the surface temperature of cells or sun-based boards increase, their productivity drops significantly. Cooling and cleaning by using water can be utilized. Proteus and MikroC software have been used to simulate the model and write the code. In this paper, is design and an experimental study shrewd customized cleaning and cooling system for photo-voltaic (PV) modules installed in Ramadi, Iraq. Which is started dependent on low essentialness coming about due to dust accumulating and high temperature conditions. This was attempted by presenting two indistinct photovoltaic modules close to one another. The fundamental unit was equipped with a model of the cleaning structure while the resulting unit was seen as standard. An upgraded cleaning and cooling methodology are gotten with the data acquiring structure. An expansion in vitality profitability of 12.4% was acquired because of lessening the operational aggravations of residue amassing and warming of the board surface. The automatic cleaning mechanism used in the system reduces human stress by washing the PV panel with low energy use.
Feature extraction with mel scale separation method on noise audio recordings
Authors: Huizen Roy Rudolf , Kurniati Florentina Tatrin
Published: November 2021

This paper focuses on improving the accuracy of noise audio recordings. High-quality audio recording, extraction using the mel frequency cepstral coefficients (MFCC) method produces high accuracy. While the low-quality is because of noise, the accuracy is low. Improved accuracy by investigating the effect of bandwidth on the mel scale. The proposed improvement uses the mel scale separation methods into two frequency channels (MFCC dual-channel). For the comparison method using the mel scale bandwidth without separation (MFCC single-channel). Feature analysis using k-mean clustering. The data uses a noise variance of up to -16 dB. Testing on the MFCC single-channel method for -16 dB noise has an accuracy of 47.5%, while the MFCC dual-channel method has an accuracy better of 76.25%. The next test used adaptive noise-canceling (ANC) to reduce noise before extraction. The result is that the MFCC single-channel method has an accuracy of 82.5% and the MFCC dual-channel method has an accuracy better of 83.75%. High-quality audio recording testing for the MFCC single-channel method has an accuracy of 92.5% and the MFCC dual-channel method has an accuracy better of 97.5%. The test results show the effect of mel scale bandwidth to increase accuracy. The MFCC dual-channel method has higher accuracy.
Video steganography using 3D distance calculator based on YCbCr color components
Authors: Baker Esraa Jaffar , Majeed Adil Abbas , Alazawi Sundos Abdulameer , Kasim Shahreen , Hassan Rohayanti , Zakaria Noor Hidayah , Sutikno Tole
Published: November 2021

Steganography techniques have taken a major role in the development in the field of transferring multimedia contents and communications. Therefore, field of steganography become interested as the need for security increased significantly. Steganography is a technique to hide information within cover media so that this media does not change significantly. Steganography process in a video is to hide the information from the intruder and prevent him access to that hidden information. This paper presents the algorithm of steganography in the video frames. The proposed algorithm selected the best frames to hide the message in video using 3D distance equation to increasing difficulty onto the intruder to detect and guess the location of the message in the video frames. As well as selected the best frames in this algorithm increased the difficulty and give us the best stego-video quality using structural similarity (SSIM). Also, the hash function was used to generate random positions to hide the message in the lines of video frames. The proposed algorithm evaluated with mean squared error (MSE), peak signalto-noise ratio (PSNR) and SSIM measurement. The results were acceptable and shows that is the difficulty of distinguishing the hidden message in stego-video with the human eye.
Development of a new rain attenuation model for tropical location
Authors: Mom Joseph , Tyokighir Silas Soo , Igwue Gabriel
Published: November 2021

This study proposes a new rain attenuation prediction model (RAM) based on the rain cell concept for tropical locations. The new model addresses the research gap in the international telecommunications union (ITU) model. Results obtained show that the proposed RAM predicted the possibility of signal across seven (7) out of thirteen (13) stations monitored. The predicted attenuation values were 18.3427 dB, 18.8106 dB, 18.3921 dB, 13.8062 dB, 20.8803 dB, 9.4519 dB, and 19.6018 dB for Jalingo, Jos, Makurdi, Mubi, Otukpo, Sokoto, and Abuja respectively. However, the RAM predicted outage across six stations with predicted attenuation values of 31.7040 dB, 26.8302 dB, 28.6635 dB, 29.6562 dB, 28.8827 dB, and 30.0614 dB for Akwa-Ibom, Benin, Donga, Port-Harcourt, Owerri, and Aba respectively. The proposed RAM hence suggests an additional Ku-band spot beam power of at least 331.97 watts for Nigeria's Nigerian communication satellite-1 (NIGCOMSAT-1R) Ku-band transponder to overcome the predicted attenuation across the six stations which recorded signal outage. The results from this study can be used by network engineers for the implementation of fade mitigation techniques (FMTs) such as site diversity and power control to aid telecommunication networks anticipate changes and allocate resources accordingly.
La confederación Perú-boliviana y las oposiciones políticas y económicas en la región del Pacifico sur
Authors: Gonzales Jauregui Yobani Maikel
Published: November 2021

El presente artículo analizara el proyecto político y económico que implementó el general Andrés de Santa Cruz durante la Confederación Perú-boliviana, generando dos oposiciones muy claras. La oposición política encabezada por el general Agustín Gamarra y los emigrados y la oposición económica, liderada por el Estado chileno. Que desde la prensa atacó sin tregua al proyecto confederado y a su artífice, afirmando que este nuevo Estado quebraba su hegemonía en el Pacífico sur, apoyando decididamente la intervención bélica que los emigrados le propusieron.
As Comunidades Eclesiais de Base (CEBs) nas narrativas orais e memórias de mulheres na Diocese da Campanha, sul de Minas Gerais, entre os anos de 1980 e 2000
Authors: Ferreira Caroline Aparecida
Published: November 2021

Este artigo apresenta os resultados de uma investigação realizada na Diocese da Campanha, no sul de Minas Gerais, sobre o trabalho desenvolvido pelas Comunidades Eclesiais de Base (CEBs), que começaram a operar ali no final dos anos 1980 e que têm como evento principal a Romaria do Trabalhador. A metodologia da história oral foi usada para conhecer as experiências de três mulheres no bispado e para entender como as CEBs adquiriram sentido na vida de cada uma delas, na perspectiva da História das mulheres. Durante a pesquisa, percebeu-se que os principais sujeitos das CEBs, como também havia mostrado Eder Sader (1988), foram e continuam sendo as mulheres, que permanecem, muitas vezes, invisibilizadas. A história oral permitiu que elas mesmas pudessem falar sobre suas trajetórias e sobre o papel da Igreja na vida das comunidades em que vivem, além de sua própria identidade como fiéis influenciadas pela Teologia da Libertação, muito forte na América Latina. Por meio das entrevistas foi possível analisar alguns aspectos apontados por Maria Aparecida, Helena Maria e Maria Lucely, que serão explorados ao longo do artigo, tais como a questão de gênero dentro da Igreja, a importância dada por elas à cultura popular em suas ações e a relação entre a memória individual e a memória coletiva.
O vocabulário fiscal e suas práticas: um estudo sobre as possibilidades de análise das dinâmicas tributárias e seus desvios (América portuguesa, séculos XVII e XVIII)
Authors: Ferreira Letícia dos Santos
Published: November 2021

O presente artigo busca identificar a ocorrência de diversas práticas lícitas e ilícitas na América portuguesa entre os séculos XVII e XVIII relacionadas à administração fiscal com o objetivo de identificar em que medida a Coroa portuguesa buscava ou não coibir as ações ilícitas, bem como, mapear alguns dos seus significados naquela época. A pesquisa revelou uma Coroa atenta às ilicitudes. Todavia, essa atenção, no geral, tinha sentidos e significados distintos dos nossos. A pesquisa tomou como ponto de partida os documentos publicados na Coleção Documentos Históricos da Biblioteca Nacional, passando para uma análise complementar a partir dos documentos do Conselho Ultramarino disponíveis através do Projeto Resgate. A investigação também identificou que as rendas régias eram comumente associadas a tributo ou a imposto. Contudo, em certos momentos distinções mais específicas eram feitas de modo a proteger ou garantir direitos e privilégios.
O monopólio dos vinte e quatro navios da Bahia para a Costa da Mina e os conflitos entre os homens de negócios (1750-1756)
Authors: Jesus Gabriel Silva de
Published: November 2021

Com este texto se procura apresentar alguns aspectos que caracterizavam o monopólio dos vinte e quatro navios autorizados a saírem da Bahia para a Costa da Mina. A pesquisa partiu de um caso envolvendo os conflitos existentes entre dois homens de negócios, José de Souza Reis e Antônio Cardoso dos Santos, que buscavam adquirir um “número” para participar da lista desse monopólio no ano de 1751. Deste modo, através desses conflitos, analisaremos os poderes existentes dentro da Salvador colonial, onde a distância do centro de poder do Império Ultramarino Português favorecia a formação de aristocracias locais confrontantes com os próprios interesses da coroa em sua colônia.
A longa e tortuosa trajetória da Autonomia Universitária no Brasil: entrevista com Márcia Bassetto Paes
Authors: Ferreira Dirceu Franco
Published: November 2021

Militante da Liga Operária durante a Ditadura Militar, ela foi presa em 1977 por distribuir panfletos nas portas de fábricas do ABC paulista. Assim como outros militantes de esquerda, encarou os porões da ditadura, foi torturada. Sentiu na pele o peso da censura, da repressão à livre expressão do pensamento e à autonomia do cidadão. A ditadura interrompeu sua formação como historiadora, mas regressaria à universidade outras tantas vezes, formando-se em Marketing, Letras e Licenciatura (Português). Atualmente é doutoranda na Faculdade de Filosofia, Letras e Ciências Humanas da Universidade de São Paulo (FFLCH-USP), pesquisando a história dessa mesma universidade nos tempos da ditadura. Nesta entrevista, conversaremos com a doutoranda Márcia Bassetto sobre a longa e tortuosa trajetória da autonomia universitária no Brasil.
Outros sujeitos: trabalhadores e associativismo negro nos mundos do trabalho
Authors: Ribeiro Jonatas Roque
Published: November 2021

A história social do trabalho produzida no Brasil tem passado por importantes transformações nos últimos anos. Uma das promessas dessa renovação historiográfica é a inclusão dos trabalhadores negros na história social do trabalho. Trata-se de uma questão que vem sendo enfatizada por diversos autores nos últimos anos e alguns têm ido além da mera defesa dessa concepção, denunciando e chamando a atenção, justamente, para como os trabalhadores negros – principalmente durante a vigência da escravidão – continuam excluídos da história do trabalho. Deste modo, o objetivo do artigo é rever as interpretações tradicionais que postulam uma separação radical entre a história da escravidão e da liberdade e a história do trabalho, de modo a relacionar a experiência dos trabalhadores negros (escravizados, libertos e livres) com a dos trabalhadores ditos “livres” durante as últimas décadas da escravidão e no pós-abolição. Por fim, o texto aponta o papel do associativismo negro nos mundos do trabalho e as possibilidades investigativas que essa experiência social pode colocar ao campo temático.
defesa da liberdade acadêmica e da autonomia: apresentação ao dossiê “Autonomia Universitária no Brasil, 30 anos (1988-2018): história, projetos e impasses”
Authors: Knobel Marcelo
Published: November 2021

Apresentação ao dossiê “Autonomia Universitária no Brasil, 30 anos (1988-2018): história, projetos e impasses”
Apontamentos para uma análise das representações de Getúlio Vargas estampadas na Revista do Rádio (1948-1950)
Authors: Santos Maycon Dougllas Vieira dos
Published: November 2021

O presente trabalho tem por principal objetivo analisar a construção da imagem de Getúlio Vargas retratada na Revista do Rádio, semanário especializado em assuntos radiofônicos. O recorte temporal para esta análise se detém no período da campanha presidencial de 1950. A revista estampou em seus editoriais retratos de Vargas quase sempre “bem-humorado”, contribuindo para que o antigo ditador fosse representado como uma figura carismática. O semanário também publicou diversas entrevistas com artistas de rádio que deixavam bem claro que nas eleições votariam em Vargas. Caminhando na esteira da historiadora Tânia Regina de Luca, que nos diz que “a imprensa periódica seleciona, ordena, estrutura e narra, de uma determinada forma, aquilo que se elegeu como digno de chegar até o público”, temos por hipótese que a Revista do Rádio, mais especificamente seus editores, alinhados política e ideologicamente às ideias e ao projeto defendido pelo varguismo, construiu, de forma coesa e precisa, a imagem positiva de Vargas, apresentando ao seu público (e)leitor em quem deveriam votar, bem como qual projeto político deveria vigorar no cenário político nacional.
Autonomia Universitária: o retrovisor que persiste em nortear o século XXI
Authors: Silva Flávia Calé da
Published: November 2021

O tema da autonomia universitária demanda a compreensão da formação tardia da instituição universitária no Brasil, que é elemento-chave para seu enraizamento insuficiente na sociedade e, portanto, a baixa compreensão do seu propósito para o desenvolvimento da nação. A hipótese trabalhada é que seria essa a chave explicativa da sua vulnerabilidade, especialmente, no que tange à questão democrática. Para compreender melhor essa relação, esse artigo realiza uma breve recomposição histórica da Universidade no Brasil. Aponta desafios para a efetividade da autonomia universitária. Analisa a abordagem feita pelo STF acerca da utilização da Lei da Lista Tríplice e seus mecanismos de cerceio a democracia. Por fim, compreende que ao longo de sua trajetória no Brasil até os dias atuais, a autonomia universitária é fortemente questionada, especialmente, em momentos de recrudescimento político.