bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Financial Target, Ineffective Monitoring, Dan Financial Distress Terhadap Fraud Of Financial Reports
Authors: Putri Luthfi Miftahul , Qintharah Yuha Nadhirah
Published: April 2023

Tujuan dalam penelitian ini yaitu guna melihat pengaruh financial target, ineffective monitoring dan financial distress terhadap kecurangan laporan keuangan yang difokuskan pada perusahaan sektor property, real estate dan konstruksi bangunan dengan tahun pengamatan 2019-2021. Penggunaan purposive sampling dalam metode pengambilan sampel, sehingga memperoleh sampel sebanyak 56 perusahaan. Penelitian ini memakai analisis regresi data panel dengan software Eviews. Sesuai output dari analisis yang dilakukan, diperoleh hasil bahwa financial target berpengaruh positif signifikan terhadap kecurangan laporan keuangan, sedangkan ineffective monitoring dan financial distress berpengaruh negatif signifikan terhadap kecurangan laporan keuanagan.
REAL TIME YOGA POSE DETECTION USING DEEPLEARNING: A REVIEW
Authors:   Narsee Monjee Institute of Management Studies, Sidana Khushi
Published: April 2023

With the increase in the number of yoga practitioners every year, the risk of injuries as a result of incorrect yoga postures has also increased. A selftraining model that can evaluate the posture of individuals is the optimal solution for this issue. This objective can be attained with the aid of computer vision and deep learning. A model that can detect theyoga pose performed by an individual, evaluate it in comparison to the pose performed by an expert, and provide the individual with instructive feedback would be an effective solution to this problem. Recently, numerous researchers have conducted experiments on the detection and performance of yoga poses in real time. This paper discusses the methods undertaken in brief and compares the tools and algorithms they used for conducting pose estimation, pose detection as well as pose assessment. Itdiscusses the accuracy, precision, and similarity of pose classification obtained by the researchers and the future scope of the research.
REVIEW OF FAULTS IN TRANSFORMERS
Authors:   Department of Electrical Engineering University of Missouri-Kansas City, Gaikwad Raju , Das Swagat ,   Kalinga Institute of Industrial Technology
Published: April 2023

The focus of this paper is to classify different types of disturbances/faults in transformers, their protection schemes.
FAKE PRODUCT DETECTION USING BLOCKCHAIN
Authors:   Dhole Patil College of Engineering, Pune, Tundalwar Rashmi , Sonkusare Sanket , Teli Girish , Yadav Tanishq , Solanki Aakash ,   Dhole Patil College of Engineering, Pune
Published: April 2023

In recent Times Blockchain Technology is getting really popular and is very much reliable. Blockchain is Popular due to its security and decentralized system. Blockchain can be termed as a chain of blocks which contain data for each block to be considered as a new node. In the last few years the number of counterfeit products has been at its peak. Hence, it becomes really important to control the flow of these products as it directly affect company’s name, valueand may also affect the consumer. So, there is a needof something that can give the consumer the assurance that the product they are paying for is a Real and Legit product and this will also Protect company from defamation. In this project, by using emerging trends in technology, Quick Response (QR) codes provide a way to counter the fake products. counterfeit products are perceived using a QR code scanner and the QR code of the product is linked to a blockof a Blockchain. The proposed system can store thedata of products and will generate unique and product specific code of that product and will save it as a block.It will collect the unique code from theconsumer which he can get by scanning the QR code given on the product then the system will check forthe code in the blockchain database . If the code matches, it will give a receipt of the product to the customer, otherwise it will notify the customer thatthe product is not legit.
A BRIEF REVIEW ON WATER TUBE BOILER AND BASIC PROBLEM WITH ITS SOLUTION
Authors:   Chandigarh University, J. Saresa Chandresh
Published: April 2023

In this paper study about the after the analysis of exergy and energy to get high performance and efficiency. After the analysis of exergy some % of losses are in the boiler. In study of that losses and said that if increase in performance and efficiency more after the find the efficiency of boiler by analysis of exergy. So, we focus on losses and find their best solution of that and can reduce the percentage of losses by studying of it. We knew that some losses are note gone but some percentage of their losses are reduced. Many problem and causes are in study in this paper. Researchers research that 100% work is not possible that’s why we try to maximize the more work produce by decrease in losses and get 5% to 10% more efficiency than actual efficiency.
ANALYTICAL SOLUTION TO MITIGATE THE RISK ARISING OUT OF TIME OVERRUN IN THE CONSTRUCTION PROJECTS VIA FORECASTING
Authors:   L&T Construction, M Chandrabose , B Balaji ,   L&T Construction
Published: April 2023

Construction industry is getting affected by cost overruns, time overruns, poor budgeting & planning. Currently there is no analytical tool available which can act as a benchmarking system to measure the performance of a project based on the historical data of past projects. This is an effort to predict time overrun and cost overrun in projects for taking precautionary measures to minimize or reduce the impact.
EXPERIMENTAL INVESTIGATION AND OPTIMIZATION OF WIRE EDM PARAMETERS FOR SURFACE ROUGHNESS, MATERIAL REMOVAL RATE AND SURFACE TOPOGRAPHY IN MACHINING OF AISI D3
Authors:   K.E. Society's Rajarambapu Institute of Technology Rajaramnagar, Islampur, R Bhanage Prafulla , M Mulla Prof Abid ,   K.E. Society's Rajarambapu Institute of Technology Rajaramnagar, Islampur
Published: April 2023

Wire electric discharge Machining is a crucial alternative machining technique. As a consequence of its superior precision, finish, machinability of any hard material, and ability to form complex shapes, demand for it continues to rise. In this research, we apply the Taguchi Method in conjunction with the Grey relational analysis approach to determine the optimal parameters in WEDM for the machining of AISI D3. WEDM machines allow for cutting by adjusting process parameters such as pulse on time, pulse off time, servo voltage, wire feed rate, current, and more to get the desired results in terms of response variables like surface roughness and material removal rate. Grey Relational Analysis is used for optimization of all these parameters with multi-response features. Best WEDM parameters are determined by studying grey relational grade. Specifically, the findings demonstrate its improved surface roughness and material removal rate prediction skills and application to such industrial WEDM cutting, which leads to the effective selection of machining settings for improved Machining quality
A REVIEW PAPER ON OCR USING CONVOLUTIONAL NEURAL NETWORKS
Authors:   JNN College of Engineering, Visvesvaraya TechnologicalUniversity, Karnataka, India, BS Ujwala , K Ujwala ,   JNN College of Engineering, Visvesvaraya TechnologicalUniversity, Karnataka, India
Published: April 2023

this paper presents a literature review on OCR for different languages using convolutional neural network techniques. Optical Character Recognition is the process of converting an input text image into a machine encoded format. Different methods are used in OCR for different languages. The main steps of optical character recognition are pre-processing, segmentation and recognition. Recognizing handwritten text is harder than recognizing printed text. Convolutional Neural Network has shown remarkable improvement in recognizing characters of different languages. The novelty of the OCR is its robustness to image quality, image contrast, font style and font size. Common machine learning methods usually apply a combination of feature extractor and trainable classifier. The use of CNN leads to significant improvements across different machine-learning classification algorithms.
AN EFFECTIVE IDENTIFICATION OF TRUTHFUL INFORMATION USING POLYMERIZATION SENTIMENTAL MODLEL
Authors:   Thirumalai Engineering College,, R Rajalakshmi , Devi T Nandini ,   Thirumalai Engineering College,
Published: April 2023

Despite the increasing use of social media platforms for information and news gathering, its immoderate nature will create peoples like keyboard warriors, rumormongers etc. This often leads to the emergence and spreading of rumors, i.e. pieces of information that are unverified at the time of posting. At the same time, the openness of social media platforms provides opportunities to study how users share and discuss rumors, and to explore how natural language processing and data mining techniques may be used to find ways of determining their veracity. In this survey, we introduce the Big Data technology and discuss two types of rumors that circulate on social media; long-standing rumors that circulate for long periods of time, and newlyemerging rumors spawned during fast-paced events such as breaking news, where reports are released piecemeal and often with an unverified status in their early stages. We provide an overview of datasets into social media rumors with the ultimate goal of developing a rumor classification system that consists of four components: rumor detection, rumor tracking, rumor stance classification and rumor veracity classification. We delve into the approaches presented in the scientific literature for the development of each of these four components. We summarize the efforts and achievements so far towards the development of rumor classification systems and conclude with suggestions for avenues for future research in social media mining for detection and resolution of rumors
BLOCKCHAIN SECURITY TO PREVENT CYBER THREATS IN SMART ELECTRIC POWER SYSTEMS
Authors:   National Institute of Technology, Rourkela, Odisha, Panigrahy Satyajit , Panda Smrutirekha ,   Government College of Engineering, Keonjhar, Odish
Published: April 2023

Over the past few years, using blockchain technology as one of the new approaches to improve the physical and cyber security of the power system has gained relevance. Blockchain can also be used to increase social welfare and give customers access to renewable energy. The next generation of power grid infrastructure, known as the Smart Power Grid, uses smart ICT (Information Communication Technology) to improve existing grid systems. It was created to overcome the drawbacks of one-way existing grid systems. With the demand for renewable energy sources, the Smart grid is anticipated to increase future power systems' efficiency and reliability significantly. Cybersecurity for the Smart Power Grid is becoming a significant issue. Since cyber-attacks by malevolent hackers can harm energy data and result in the leakage of personal information from grid members, they can cause serious incidents like massive outages and the destruction of power network infrastructure. Therefore, we will propose a secure smart energy management system built on the blockchain to fix this problem. The blockchain is a distributed data processing technology that allows for the distribution and storing of data by all network participants. By integrating blockchain technology into the Smart Grid, energy data may be managed more securely. Additionally, this will help the future growth of the smart energy sector.
A SURVEY PAPER ON SMART AUTHENTICATION SYSTEM FOR IDENTITY VERIFICATION
Authors:   Dhole Patil College of Engineering, Pune, India, Ingale Kiran , Patil Madhur , Bhamare Samarth , Chaudhari Saurav , Chanderi Prof. Sonal ,   Dhole Patil College of Engineering, Pune, India
Published: April 2023

This paper presents building an effective web application for authenticating and verifying a student or employee. In today’s world, carrying various plastic smart cards to prove your identity has become an integral part of everyday life. As the world is moving towards digital technology, traditional means of verification still exist. This paper specifies the use of technology to build a smart authentication system for identity verification. There is a clear need for technological solutions for a versatile national identity for all citizens. On traditional ID cards, one can easily manipulate the information, which is not acceptable at all. For this, we are using QR codes and Face Recognition based authentication systems to identify a person. Along with that, we are providing SMS service, E-Mail service, and a Performance Chart for user info in graphical format using Machine Learning
OPTIMIZING REAL-TIME INTERNET OF THINGS DATA USING BIG DATA COMPUTING PLATFORM
Authors:   SRM, A Dharmita
Published: April 2023

— IOT offers the capability to connect and integrate both digital and physical entities of an appliance. A fundamental challenge center’s around managing big IOT data that these appliances produce, which is not only extremely large in scale and volume but also noisy and continuous. In our research we have explored Big Data based IOT driven technologies and the importance of preprocessing, meta data, data storage formats, data management and how big data is closely associated with IOT technologies. To achieve the objective of managing big data we are going to use the two most widely used framework namely Apache Hadoop and Apache Spark explained in detail in the research. Now some of the challenges faced by the IOT based appliances and the users are privacy, data storage and analysis, scalability, pre-processing. However, using the concepts of bigdata we can overcome these challenges. This paper finally helps in the implementation of combined efforts of IOT and bigdata altogether in the field of education, healthcare, urban planning, agriculture sector, and industries and also illustrates how these two technologies working simultaneously can not only improve the quality of the appliances but also enhances the experience of the users. This proposed methodology as per research will be easy and accurate compared to the existing methodology
MODELING AND SIMULATION OFCHARCOAL FIRED FISH SMOKING PROCESS USING MATLAB SOFTWARE
Authors:   Abubakar Tafawa Balewa University, Bauchi, Nigeria, Shuaibu Ibrahim , Saidu Sintali Ibrahim , Moshood Abioye Adekunle , Jamil Alaramma Sunusi ,   Abubakar Tafawa Balewa University, Bauchi, Nigeria
Published: April 2023

This paper presents the theoretical approach for the heat and mass transfer phenomenon at the fish layer during smoking using energy balance equations. Charcoal fired fish smoking kiln is the best preservation technique for faster smoking with efficient utilization of time and energy. The aim of this work is to establish a mathematical model describing the heat and mass transfer phenomena at the fish layer and in the air during smoking and to investigate the effects of two aero thermal factors by simulating the smoking process. Mathematical model was developed using energy balance equation on a various component of the kiln. The smoking process is simulated under real operating conditions based on a thin layer model and experimental drying kinetics. The results revealed that the rate of smoking increased with increase in drying air temperature and velocity respectively.
IMPLEMENTING INTERNET PROTOCOL (IP) BASED SUPERVISORY CONTROL AND DATA ACQUISITION (SCADA) NETWORK SYSTEM
Authors:   Sir Sayyed College Aurangabad (MS), Aziz Abdullah Binnaser
Published: April 2023

SCADA (supervisory control and data acquisition) is a system that monitors and control industrial, infrastructure, or facility- based processes. Scada systems integrate data acquisition systems with data transmission systems and graphical software in order to provide a centrally located "monitor and control" system for numerous process inputs and outputs. The sensors and metering devices are connected to field control devices. These control devices take real-world physical input signals from the sensors and, convert the signals to digital data and make decisions based on programmed logic or commands from the system operators. The control devices are connected control room environments where the hmi software systems are used by system operators to interact withthe control devices. IP SCADA is a plug and play feature in the IDP 600 terminal series that allow common SACDA devices such as remote terminal units (RTU) and PLC to be connected to SCADA networks using the IsatData Pro satellite service. IP SCADA is well suited for SCADA devices that are located in remote sites where other communication services are unavailable, unreliable or cost prohibitive and for sites that have low data usage requirements. IP-based SCADA Network systems provides many benefits like Unlimited locations for servers and clients, Service takeover and remote support, Data saving & Global Coverage.
A SMALL-SCALE STUDY ON THE ERROR ANALYSIS OF THE HIGHER SECONDARY STUDENTS OF BANGLADESH.
Authors:   University of Science and Technology Chittagong (USTC), Milton JD
Published: April 2023

The aim of this research is to identify the frequency and the types of grammatical errors that are committed by the students in their written English at the higher secondary level in Bangladesh. To conduct the investigation a procedure of mixed method, which include both qualitative and quantitative approach, has been followed in order to get clear and fuller picture of higher secondary level students’ grammatical errors. The samples have been taken from the paragraphs and essays written by 40 students in both class and exam set up. My research has helped me in figuring out the reasons behind their errors. Six teachers of these forty students have been interviewed to seek the answers to questions as to why learners commit such errors in spite of twelve years of formal education The questionnaire part in my research focuses both on the perspectives of teachers and students regarding this issue. The findings of the research reveal that committing grammatical errors is an obvious process of learning. This research will help the educators and researchers in figuring out why and how the grammatical errors occur at the higher secondary level students’ written English and will also provide recommendations for reducing them
ACCELERATING AGRICULTURE GROWTH WITH CONNECTED TOOLS AND TECHNOLOGY
Authors:   Tribhuvan University, Pandey Basant
Published: April 2023

Agriculture accounts the oldest and the largest industry globally. Agriculture need to adopt connected technologies in order to disrupt the ever growing demand. Here I provide a brief overview of connected technologies, which could increase yield, improve efficiency and build sustainable crops cultivation
ELECTRO-OCULOGRAPHY AS AN ALTERNATE COMMUNICATION IN THE FIELD OF HUMAN INTERFACING SYSTEM
Authors:   YCCE, Malwatkar Nupur Pranay
Published: April 2023

—In recent years several researchers are practicing on human interfacing techniques. Many techniques were successfully implemented and launched as commercial products for medical, aeronautics and bioinformatics communications. Still concerning electrooculography interfacing for Human Computer Interface (HCI) has wide scope of development and real life implementations. Like EEG, EMG and ECG, EOG doesn't provide important body parameters which could be used for disease diagnosis but it has very wide applications in human and machine interactions. EOG could be used by paralyzed stroke patients are unable to normally communicate with their environment. For these patients, the only part of their body that is under their control is eye moments. The system will detect the variations in electric signal strength through voltage level near the eye area and generates a signal in order to control interactive device. Additionally, they are particularly suitable in the case of people with severe motor disorder, for example people with other physical disorder. Developing solutions for them involves different ways of using sensors that decides the user’s needs and limitations, which in turn converts the user’s intentions into commands. This paper submits the use of EOG signals for the different application control in different fields in current situation
SURVEY ON ROBUST CONTROL APPLICATIONS IN INVERTED PENDULUM SYSTEMS
Authors:   Kerala Technological University, Y Johnson , Aziz Binz AbduL ,   Kerala Technological University, M. S. Parvathy , G Babu Shino ,   Tyrannus Innovative Engineering and Research Academy Pvt. Ltd,   CMRIT
Published: April 2023

The Inverted Pendulum (IP) systems are the benchmark problems in control literature. The general control strategy is the feedback control system, which can be used to measure continuously the angle of the pendulum, thereby commanding the cart to move to and fro so that the pendulum will be balanced in the upright position. Though there are control simulations with experimentation available, about half century back, the robust control studies with IP have gained remarkable attention only in the last two or three decades. The robust techniques like 𝑯∞, µ-Synthesis, SMC, LTR, Lyapunov approach etc. are mentioned here. Control experimentation with IP related studies based on robust point of view is very essential since the growing importance of robust techniques in control system community. The proposed paper is a brief survey of the so called literature mentioned in the past three or four years.
Distinct Patterns of Incidental Exposure to and Active Selection of Radicalizing Information Indicate Varying Levels of Support for Violent Extremism
Authors: Schumann Sandy , Clemmow Caitlin , Rottweiler Bettina , Gill Paul
Published: April 2023

Exposure to radicalizing information has been associated with support for violent extremism. It is, however, unclear whether specific information use behavior, namely, a distinct pattern of incidental exposure (IE) to and active selection (AS) of radicalizing content, indicates stronger violent extremist attitudes and radical action intentions. Drawing on a representative general population sample (N = 1509) and applying latent class analysis, we addressed this gap in the literature. Results highlighted six types of information use behavior. The largest group of participants reported a near to zero probability of both IE to and AS of radicalizing material. Two groups of participants were characterized by high or moderate probabilities of incidental exposure as well as a low probability of active selection of radicalizing content. The remaining groups displayed either low, moderate, or high probabilities of both IE and AS. Importantly, we showed between-group differences regarding violent extremist attitudes and radical behavioral intentions. Individuals reporting near zero or high probabilities for both IE to and AS of radicalizing information expressed the lowest and strongest violent extremist attitudes and willingness to use violence respectively. Groups defined by even moderate probabilities of AS endorsed violent extremism more strongly than those for which the probability for incidental exposure was moderate or high but AS of radicalizing content was unlikely.
Especificidad y sensibilidad de la procalcitonina e interleucina-6 en pacientes oncológicos con bacteremia y hemocultivo positivo
Authors: Castro Suárez Sergio , Caputi Oyague Rafael
Published: April 2023

Introducción: La utilidad de la procalcitonina para predecir bacteriemia en pacientes oncológicos con fiebre ha sido reportada, pocos datos existen sobre la utilidad de la interleucina 6. El objetivo del presente estudio fue establecer la especificidad y sensibilidad de la procalcitonina e interleucina en pacientes oncológicos con bacteriemia y hemocultivo positivo.
Métodos: El presente transversal, de fuente prospectiva, se realizó en el Hospital de SOLCA, Guayaquil. El período de estudio fue enero A diciembre del 2015. Se incluyeron pacientes mayores de edad y menores de 65 años, con diagnóstico de enfermedad oncológica con diagnóstico de SIRS, sepsis o choque séptico. Las variables fueron: presencia de bacteremia, procalcitonina (PCT), interleucina-6 (IL-6), edad, sexo, reporte de hemocultivo. La muestra fue no probabilística. Se utilizó estadística descriptiva e inferencial. Se analizan dos grupos: presencia y ausencia de bactermia, se realiza una prueba diagnóstica para la procalcitonina e interleucina-6 en cada grupo.
Resultados: Participaron 169 pacientes, 69 casos con hemocultivos positivos (G1) y 100 controles sin bacteremia (G2). La procalcitonina fue de 14.6 en G1 Vs 0.54 ng/ml en G2 (P=0.0001). La IL-6 fue 1479.47 ng/ml en G1vs 4.37 ng/ml en G2 (P<0.001). La sensibilidad (S) de la PCT fue del 81.2%, la especificidad (E) fue del 79%, el área bajo la curva fue del 0.862 P<0.0001. La S de la IL-6 fue del 98.6%, la E fue del 95%, el área bajo la curva fue del 0.996 P<0.0001.
Conclusión: La interleucina-6 es una prueba bastante buena como factor predictor de bacteremia en pacientes oncológicos, debido a su valor alta de especificidad y también para establecer que si tiene bacteriemia debía a su alta especificidad.
Triple primario oncológico y su impacto en el dolor
Authors: Estrella Lima Adriana , Villao Recalde Andrea Carolina , Castro Holguin Marjorie Zulay , Vallejo Martínez Mariana Concepción
Published: April 2023

Introducción: Los pacientes con cáncer presentan dolor en un 40% y el 38% de ellos lo califica como moderado a intenso. Casi el 85% de los pacientes con dolor por cáncer pueden lograr un buen control con medicamentos orales convencionales.

Caso clínico: masculino de 57 años con triple neoplasia maligna primaria metacrónica asociada a tres tipos de dolor con incremento progresivo de la intensidad y requerimiento de varias líneas de tratamiento analgésico opioide.

Conclusión: Las neoplasias malignas primarias triples son infrecuentes y están asociadas a dolor complejo, siendo los opioides la opción terapéutica más adecuada.
Map, Trigger, Score, Procedure: machine-listening paradigms in live-electronics
Authors: De Oliveira Vinícius Cesar , Padovani José Henrique
Published: April 2023

Since the advent of real-time computer music environments, composers have increasingly incorporated DSP analysis, synthesis, and processing algorithms in their creative practices. Those processes became part of interactive systems that use real-time computational tools in musical compositions that explore diverse techniques to generate, spatialize, and process instrumental/vocal sounds. Parallel to the development of these tools and the expansion of DSP methods, new techniques focused on sound/musical information extraction became part of the tools available for music composition. In this context, this article discusses the creative use of Machine Listening and Musical Information Retrieval techniques applied in the composition of live-electronics works. By pointing out some practical applications and creative approaches, we aim to circumscribe, in a general way, the strategies for employing Machine Listening and Music Information Retrieval techniques observed in a set of live-electronics pieces, categorizing four compositional approaches, namely: mapping, triggering, scoring, and procedural paradigms of application of machine listening techniques in the context of live-electronics music compositions.
Audiovisual interactive artwork via web-deployed software: Motus composes Homino-idea
Authors: Amstalden Augusto Piato , Tavares Tiago Fernandes , Costa Neto Anésio Azevedo , Camarini Giovana Cardi
Published: April 2023

Many art installations rely on camera-based audiovisual interactions, and this commonly requires specialized hardware and software. Consequently, audiovisual installations are usually restricted to wealthier areas, in which the specialized equipment can be afforded and properly hosted. In countries with an evident income unbalance linked to location, the geographic restriction leads to an audience restriction. In this work, we present the development of a web-deployed composition tool for audiovisual interactions that runs on the client side and does not require installing any additional software. Simultaneously, it provides visual feedback that can aid the audience to understand the experience. Consequently, the tool can be used to compose audiovisual interactions that reach a large audience via web. We further explore the tool by composing the audiovisual installation Homino-idea. The installation is inspired by the interactions between humans and the environment, and can be either shown in art venues or used online.
A concepção de silêncio em John Cage e Toru Takemitsu sob a luz da teoria pós-humana
Authors: Stromberg Guinski Guilherme , Carneiro Rodrigues Indioney
Published: April 2023

Este artigo apresenta dois tipos de silêncio, um positivo e outro negativo, respectivamente, em John Cage e Toru Takemitsu, sob a luz da teoria pós-humana de Rosi Braidotti. Percebemos que enquanto Cage se aproxima de filosofias orientais para alcançar sua definição de silêncio como ausência de intenção e afastamento do ego, Takemitsu apresenta concepções mais próximas da cultura ocidental, onde o silêncio é um confronto com o eu e uma representação da efemeridade da vida humana. Assim, argumentamos, a partir de Braidotti, que o silêncio em Takemitsu está ligado ao humanismo antropocêntrico, sendo o silêncio um silêncio negativo, representando o grande fim. Por outro lado, defendemos que o silêncio Cageano é pós-humano pois introduz uma mudança de paradigma que iguala os sons produzidos pela espécie humana aos outros sons do mundo, em uma visão geocêntrica do homem como parte de um todo maior e igual a ele.
O “avô do violão moderno”: Quincas Laranjeiras e seu papel como mediador cultural
Authors: Amorim Humberto , Martelli Paulo
Published: April 2023

Com base em fontes suscitadas na bibliografia dedicada ao tema ou recolhidas em periódicos e publicações antigas, o artigo objetiva demonstrar que Quincas Laranjeiras (1873-1935) atuou como mediador cultural no Rio de Janeiro de seu tempo, colaborando para que o seu instrumento, o violão, circulasse em dinâmicas socioculturais diversas. Ancorados no cotejamento da literatura disponível e no pressuposto de que as práticas são irredutíveis aos discursos (CHARTIER, 1995), os resultados alcançados sugerem que tal mediação se deu em duplo sentido: 1) trazendo o violão dos primeiros rudimentos formativos ao estágio “moderno”, a partir da disseminação mais ampla de seus fundamentos técnicos e do ensino através de partituras; 2) fazendo com que o instrumento transitasse entre espaços e redes de sociabilidades nos quais, antes, o seu acesso parecia restrito ou mesmo inacessível
Integrated Model for Predicting Supply Chain Risk Through Machine
Learning Algorithms
Authors: Kumar Saureng , Sharma S. C.
Published: April 2023

The machine learning model has become a critical consideration in the supply chain. Most of the companies have experienced vari-ous supply chain risks over the past three years. Earlier risk prediction has been performed by supply chain risk management. In this study, an integrated supply chain operations reference (ISCOR) model has been used to evaluate the organization's supply chain risk. Machine learning (ML) has become a hot topic in research and industry in the last few years. With this motivation, we have moved in the direction of a machine learning-based pathway to predict the supply chain risk. The great attraction of this research is that suppliers will understand the associated risk in the activity. This research includes data pre-processing, feature extraction, data transformation, and missing value replacement. The proposed integrated model involves the support vector machine (SVM), k near-est neighbor (k-NN), random forest (RF), decision tree (DT), multiple linear regression (MLR) algorithms, measured performance, and prediction of supply chain risk. Also, these algorithms have performed a comparative analysis under different aspects. Among the other algorithms, the random forest algorithm achieves an accuracy of 99% and has accomplished superior results with a maxi-mum precision of 0.99, recall of 0.99, and F-score of 0.99 with 1% error rate. The model’s prediction indicates that it can be used to find the supply chain risk. Finally, the limitation and the challenges discussed also provide an outlook for future research direction to perform effective management to mitigate the risk.
Urban Rainfall-Runoff Modeling Using HEC-HMS and Artificial Neural Networks: A Case Study
Authors: Naresh Aadhi , Naik M. Gopal
Published: April 2023

Urban flooding nowadays becomes common throughout the world. The main reason for these floods is rapid urban development and climate change. During the monsoon, the flows in the urban drains will be high and the main reason for these high flows is the existence of a combined network system (i.e. drainage and stormwater). Further, the flow in the city (under study) drainage network was very high and some areas of the network exceeds more than discharge carrying capacity. Hence, this may result in overflow from the manholes and create an overland flood problem. Rainfall-Runoff modeling in these situations in the urban catchment will be essential and required to understand the flow pattern that helps in flood management. Therefore, the current study chose Hydrologic Modeling System (HEC-HMS) and Artificial Neural Network (ANN) for rainfall-runoff modeling at an hourly period for the Kukataplly (zone-12) watershed of Hyderabad city, Telangana State in India. This zone-12 watershed was one of the most affected hydraulic zones of Greater Hyderabad Municipal Corporation (GHMC) during the monsoon period in the past 21 years. The present study focuses on a comparative study between HEC-HMS and ANN has been carried out to comprehend the flood scenario in the study area. Finally, the performance of the model is checked with statistical indices such as Nash-Sutcliff Efficiency (NSE), and Coefficient of Determination (R2). HEC-HMS yielded good results (NSE = 0.74 and R2 = 0.76) when it has taken care of the maximum possible nonlinear complex data to be analysed.
Design and Development of Shape Memory Alloy Actuator for Preventing and Protecting Electrical Wires
Authors: Er-Remyly Omar , Zohra Mouna Ben , Riad Amine , Alhamany Abdelilah
Published: April 2023

Fatigue failure of wires is a frequent issue that evolves over time as a result of utilizing the profile under variable stress and temperature. In this article, an innovative study makes it possible to propose a protective tool for metal profiles against fatigue using shape memory alloys (SMA). Smart actuators like SMA are able to push back sudden stresses above the elastic limit, therefore, are characterized by high resistance to fatigue and even against corrosion due to their strong thermomechanical coupling. Besides, the study provides the results necessary to add a layer based on the shape memory tube to protect the important connectors for industrial systems and automotive industries. The conductivity of electrical current in various electronic devices depends on the copper material, which is good at conducting electricity and heat but weak against mechanical forces and hence easily susceptible to fatigue. Thereby, the elastic regime of copper is different from that of SMA, and in order to adapt the properties of two materials, a mathematical study can describe the behaviour of two combined systems is important for the analysis of the cyclic effect and for adapting the proposed actuator in wiring technology. Therefore, the study shows the great potential of the proposed SMA tube with its superelastic behaviour to increase the predicted lifespan of metallic wires against corrosion and fatigue. The lifetime of the conduction system with the protective SMA is increased remarkably and can reach up to 105cycles under the action of the stress of an amplitude of 550 MPa, the finite element simulation shows that the system of SMA combined with a 4 mm wire undergoing significant stress up to 490 MPa that can reach a deformation of 7% and return to the initial state without residual deformation. The simulation's results look at the evolution of stress, strain, fatigue lifetimes, and anticipated damage, and they match the experimental results of SMA tube properties rather well. Consequently, the verification of the proposed model confirms the improvement in the lifespan of studied wires compared to wires without SMA encapsulation.
A Soft Computing Intelligent Control Algorithm to Extract Maximum Energy from Solar Panel
Authors: Hasan Mashhood
Published: April 2023

Utilizing soft computing, a maximum power point tracking (maximum PPT) control algorithm is developed, and its performance is compared to that of more traditional Lead Acid battery charging methods such as incremental conductance technique-based maximum PPT. Since the power vs voltage graph of a photovoltaic (PV) cell is nonlinear, a suitable control method seeks to obtain the highest power under dynamic conditions. In order to construct a PV cell with the maximum PPT, a fuzzy logic control approach known as soft computing is used. The cell active energy is used to charge the lead acid battery. A fuzzy logic compares its performance with the incremental conductance technique under dynamic conditions. Moreover, dc to dc converter is required to maintain constant output voltage to charge the battery under low level voltage. A zeta converter is taken to maintain output voltage under various insolation. The significance of algorithm is demonstrated by MATLAB Simulation results and hardware results.
A New Decomposition Linear Programming Model to Solve Zero Sum Two Person Matrix Game in Fully Fuzzy Trapezoidal Environment
Authors: Sharma Gaurav , Kumar Ganesh
Published: April 2023

This article targets to unriddle the problem of a non-cooperative fully fuzzified ’Zero Sum Two Person Matrix Game’ (ZSTPMG) with payoff matrix equipped with Trapezoidal fuzzy numbers (TrFNs). To achieve the target a unique and novel decomposition technique has been introduced. First, we develop two auxiliaries fully fuzzified linear programming problem (FFLPP) models for both the players and then we decompose these two FFLPP models into four linear programming (LP) models each, for both the players. These eight LP models are then solved by using the software TORA-2.0. The solutions of these eight LP models ascertain the optimal strategies and the optimal value of the fully fuzzified ZSTPMG for both the players. Our technique has an advantage over the existing ones as it can solve fully fuzzified ZSTPMG with all kind of TrFNs such as symmetric, asymmetric, positive or negative TrFNs. To establish this fact, the proposed methodology has been illustrated by taking three numericals equipped with various kinds of TrFNs.
Features of reproduction of fixed assets in the investment and construction complex of the region
Authors: Kuzmich N. P.
Published: April 2023

The article is devoted to the analysis of the reproduction of fixed assets in construction and the study of problems associated with the lack of financial resources for their renewal in construction organizations. The objectives of the study are to analyze the use and reproduction of fixed assets; to determine the sources of their renewal. The hypothesis of the study is that it should be expected that the reproduction and involvement of fixed assets in the economic turnover will favorably affect the financial condition of the organization. The article lists the main factors of increasing the efficiency of reproduction of fixed assets of construction organizations. In the course of the study, it was found that the inefficient use of fixed assets negatively affects the financial activity of the organization, therefore, measures are recommended, during the implementation of which the organization will receive an economic effect.
Practical application of the algorithm for hedging interest and currency risks
Authors: Gerasimov K. B. , Shkodina E. S.
Published: April 2023

There are various methods of managing market risks. Among them, the most modern method is hedging. An algorithm for hedging interest and currency risks is proposed to select an instrument that allows you to hedge risks, as well as obtain optimal financial performance based on the likelihood of each scenario. The practical application of the algorithm for hedging interest and currency risks is shown. Using the VAR model, daily volatility was calculated, as well as possible fluctuations in exchange rates and interest rates. After the analysis, a conclusion was made and substantiated on the choice of the most effective hedging instrument.
Critical energy-information-logistics component of innovative development of mobilization economy
Authors: Bryntsev A. N.
Published: April 2023

In the article, the author considers the development of the mobilization economy in the era of hybrid wars. Particular attention is paid to the applied value of applying innovations in industry, robotics, and the high-tech sphere. Their specific features, strengths and weaknesses are shown through the prism of economic sanctions, the facts of their directed impact on the sovereignty of the state are revealed.
Methodological tools of process management in economic systems of the “organization” type
Authors: Gerasimov B. N.
Published: April 2023

The ontological representation of the composition of the sections of management science made it possible to establish the content of system, process and functional attributes for their subsequent application in practice. It was determined that process attributes are the main «building blocks» in the formation, maintenance and reform of the management space phenomes. The composition and content of the main attributes of management subprocesses determine the direction of operations, the composition of all types of resource support and a list of evaluation indicators of the quality and effectiveness of management activities in economic and social environments.
Adaptation of public administration to overcome critical periods for the country based on the use of mobilization measures: the historical experience of the USSR and the realities of the current time
Authors: Svirina L. N.
Published: April 2023

The article deals with the use of mobilization levers in the public administration system in the crisis period for the country of the total blockade of its sanctions and the growing military confrontation of the collective West against Russia, threatening its sovereignty, with the statement of the fact of the use of special mobilization measures exclusively aimed at the realization of the goals and objectives of a special military operation. A retrospective analysis of the historical Soviet past associated with the periods of transition of the country's administration to the military economy during the large-scale electrification and industrialization of the national economy and the Great Patriotic War, led the author of the article to turn to a review and analysis of approaches to determining the essence and key features of the model of the mobilization economy.
The key link of the anti-corruption complex events
Authors: Boyko A. N.
Published: April 2023

The significant work of all public authorities carried out over the past 10–12 years to develop, implement and implement anti-corruption measures, including as part of the ongoing implementation of national anti-corruption plans, resulted in unacceptably modest results. In this regard, the purpose of this study is, firstly, to establish the reasons for the stability of the relatively negative trend, according to legal statistics, and secondly, to identify the fundamental link, by reforming which it is possible to qualitatively increase the effectiveness of the entire complex of anti-corruption measures. It seems that this problem, accordingly, the task to be solved is not in the sphere of combating the facts (consequences) of corruption, but in the organizational mechanisms of preventive prevention of corruption, initially embedded in the structural and functional organization of the public service in all its forms. Corruption is an anomaly of the public service, therefore, its deep foundations should be sought in the structural and functional organization of the public service itself, and not after the fact beyond its borders. Such a key link has been established, the content of its reform has been determined.
Improving algorithms for collecting data and conducting verifications of the reliability and completeness of information on income, expenses, property and property obligations in the context of digitalization
Authors: Mikhaylova S. S.
Published: April 2023

The development and implementation of measures to improve the algorithm for collecting data and conducting verification of the reliability and completeness of information on income, expenses, property and property-related obligations should be based on the principles of choosing and using advanced digital technologies and automation tools. To collect data and conduct checks, the paper proposes an approach based on the creation of a single vertically integrated digital platform focused on the use of end-to-end technologies. The architecture of the digital platform has been developed and algorithms for checking information using artificial intelligence methods have been proposed.
Estudio de prefactibilidad para el diseño de una planta de compostaje en Perú
Authors: Cruz Salinas Luis Edgardo , García Juárez Hugo Daniel , Mendoza Zuta Jannie Caroll , Armas Juárez Ricardo Antonio
Published: April 2023

Las cifras de la producción de desechos a nivel mundial aumentan constantemente, estos desechos vertidos en el ambiente, sin ningún tratamiento, ocasionan contaminación, deterioro de los ecosistemas y se convierten en una amenaza para la salud y bienestar de la población. Sin embargo, si estos desechos son sometidos a tratamientos de transformación y reciclaje se pueden convertir en productos inocuos y con beneficio económico. En el distrito Pueblo Nuevo, en Perú, no existe una planta de tratamiento de residuos sólidos, el objetivo es realizar un estudio de prefactibilidad para el diseño e implementación de una planta de compostaje de residuos orgánicos que atienda las necesidades en este distrito. La población estuvo constituida por 3734 viviendas, la muestra calculada fue de 64 viviendas. La técnica para la recolección de los datos fue la encuesta y el instrumento un cuestionario estructurado. El estudio de prefactibilidad contempló el análisis de tres aspectos: el entorno y Mercado, Técnico, Económico y Financiero. Como resultados se puede generalizar que las familias de la muestra consideran la necesidad de mejorar el servicio de recolección y transporte de los residuos y aceptan la creación de la planta de compostaje. Los residuos orgánicos representan un 53,98% de la totalidad de los desechos. El estudio económico financiero determinó que la planta de tratamiento es sustentable. Se concluye que el análisis de prefactibilidad es positivo demostrando la viabilidad de la creación de la planta de tratamiento como alternativa para usar los residuos sólidos generados en el distrito de Pueblo Nuevo.