bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Stress Depending on HSS Panel Joint Method in Automobiles
Authors: Et. al. Woonsang Lee,
Published: January 2024

A vehicle to which a body panel reinforced by repairing an automobile body is applied must be welded or joined by a method suitable for the panel material so as to prevent corrosion of the panel and ensure rigidity of the body structure. As a result of studying the stress by the joining method of HSS and UHSS panels, it was confirmed that the welding method was performed in parallel and the joining method was superior to the simple joining method from the tensile stress strength. In addition, spot welding and post-bonding rivets were used as an efficient joining method that can minimize the deformation of the material properties of the vehicle body panel, prevent corrosion, and maximally maintain the rigidity of the vehicle body structure..
Examining Language Teacher Readiness for Blended Learning among Cycle-one Public Schools in the UAE
Authors: Et. al. Dr. Alexandria Proff,
Published: January 2024

This qualitative study sought to explore cycle-one (primary-level) language teacher perceptions of blended learning in the UAE. Given the recent shift to online learning, in response to the global COVID-19 pandemic, this exploratory research sought to ascertain pertinent information to assist decision-makers and educational leaders. Specifically, the researchers addressed what teachers perceived to be facilitators of and barriers to implementing effective blended learning instruction in public, cycle one schools in the UAE. They also sought their perspectives concerning effective strategies for blended language instructions and how they perceived these strategies influenced students' performance. Toward this end, the researchers utilized face-to-face, open-ended interviews with purposefully selected participants in a phenomenological approach; all data were analyzed via a thematic analysis that employed multiple stages of coding: open, axial, and selective. Findings suggest that teachers perceive parental engagement to be a facilitator in implementing blended learning. Participants also suggest that purposeful planning, instruction, and assessment should be explicitly designed for blended learning environments for more effective language learning. Finally, the teachers in this purposeful sample report that blended learning have influenced students' performance in multiple areas, including academic attainment, character development, and technical skills.
Analysis On Ashācirah And Ibādhīyah On The Attributes Of God
Authors: Et. al. Mustafa Kamal Amat Misra,
Published: January 2024

The basis for the development of the debate on the attributes of Allah is tanzīh and taqdīs which sanctify Allah of His every desire to every new thing. The responsibility is borne by the ulama' so that Allah who is the Most Perfect (kamāl) will remain perfect in human thought and not be tainted with deficient attributes (nuqsān). This debate on the attributes of God is discussed in the flow of kalām from the birth of its own thoughts and beliefs as well as systematic methodologies to help strengthen those beliefs. Like the Ibādhīyah sect with the Ahl al-Sunnah wa al-Jama'ah, its familiarity is acknowledged by the scholars Muhammad ibn Abu Zuhrah and Mustafa Wentan. With a qualitative study using document analysis method, this study will analyze the comparison will be done to examine the similarities and differences found in the discussion for Ibādhīyah and Ashācirah scholars. The study seeks, the basic understanding of the nature between Ibādhīyah and Ashācirah is the same nature is qadīm as a zāt. In addition to the various terms, the methodology of the division of attributes by Ashācirah is more perfect and easy to understand the methodology introduced by Ibādhīyah.
Issues And Challenges Of Online Shoppingactivities On The Impact Of Corona Pandemic :A Study On Malaysia Retail Industry
Authors: Et. al. Roszi Naszariah Nasni Naseri,
Published: January 2024

The retail industries are among the prominent casualties of the COVID-19 pandemic, as people adjust to the new normal of online shopping and working from home, which has lowered demand and business volume of the industry in the short term. Due to online initiatives and lower business volume, businesses are considering downsizing wherever possible as people adapt to the new norm. New approaches to shopping, which leveraging technology and increase consumers' desire for lifestyle experiences while shopping, are currently posing a challenge to traditional shopping. Therefore, this paper aims to provide an overview on the issue and challenges of online shopping activities on the impact of Pandemic Covid-19.
Contextual analysis on the Application of a Cloud-Based CAD System in Design Teaching.
Authors: Et. al. K. Prudhvi Raj,
Published: January 2024

Other than of customary CAD frameworks, new, cloud-based CAD frameworks have additionally been accessible for certain years. These CAD frameworks planned by the guideline of programming as a help (SaaS) contrast in some significant highlights from the customary CAD frameworks. Subsequently, these CAD frameworks are worked through a program and it isn't important to introduce the product on a PC. The CAD-information is put away in the cloud and not on a neighborhood PC or focal worker. This new methodology ought to likewise work with the sharing and the board of information. At long last, a considerable lot of these new CAD frameworks are accessible as freeware for instruction purposes, so the colleges can save permit costs. This commitment analyzes recently created, cloud-based CAD frameworks. With regards to a contextual analysis, the utilization of these new CAD frameworks are researched in the preparation of architects in plan training. Along these lines, the understudies look at a customary and a cloud-based CAD framework as a component of an activity of planning and 3D displaying of a pinion shaft. Accordingly, the understudies make a drawing with various perspectives on the pinion shaft. This appraisal assesses various models, for example, ease of use, instructional exercise backing and establishment exertion.
Semi-Generalized Closed Set in the Closure Spaces
Authors: Et. al. Dr. Neeran Tahir Abd Alameer ,
Published: January 2024

In this paper, we introduce the concept of semi generalized closed set (=
Developing Multi-User Social Big Data For Emergency Detection Based On Clustering Analysis And Emergency Management In Edge Computing
Authors: Et. al. Pavan Madduru,
Published: January 2024

The processing and analysis of data from cellular and social media in areas including real-time incident identification, emergency administration and personalization before, during, or after natural disasters opens up a new viewpoint and perspectives on the extent of the disaster and its effects on people concerned. The amount of data collected and the sophistication of an applied analysis cannot be addressed by conventional storage and processing systems and thus distributed methods are commonly used. In this paper, we propose an open-source Amazon distributed web services platform (AWS) those can be used for Edge computing while integrating data from spatio-textual user created applications and solutions for emergency detection and management. The computer focuses on scalability and uses an advanced Big-Data networks. It supports currently the most popular websites, and can easily be expanded to any social system. The data can be used to assist in the affected region as a location-based service provided by organizations or some other provider. The experimental assessment of our prototype shows its overall efficiency and scalability even under heavy load with different query types over different cluster dimensions.
Analysis Of Phishing Websites Using An Competent Feature-Based Framework
Authors: Et. al. Bennila Thangammal.C,
Published: January 2024

Phishing attacks take place through various forms such as email, websites and malware. To perform email phishing, attackers design fake emails which claim to be arriving from a trusted company. They send fake emails to millions of online users assuming that at least thousands of legitimate users would fall for it. Phishing attacks are one of the most common and least defended security threats today. Objective of study to identify phishing attacks using five machine learning algorithms. The proposed system handles feature selection through learning algorithm, after feature selection, training and prediction is done. The objective of our study to find an efficient algorithm, which achieves highest accuracy.
Adaptive And Fault Tolerant Random Forest-Based Method For Heart-Rate Observing Utilizing Photoplethysmography In Healthcare
Authors: Et. al. G. Jasmine Christabel,
Published: January 2024

In recent times, healthcare IoT has proven to be highly effective in reducing medical and hospital resource stress produced by an ageing population. The health-care system's quick reply is critical because it is a safety-critical process. Fog computing, which deploys healthcare IoT devices on the edges of clouds, is a strategic solution for meeting the low bandwidth criterion. Such fog devices, on the other hand, consume a huge amount of data sources. Developing a specific system for fog devices in order to make sure secure data transmission and fast data analysis has become a critical issue. In this research, Random Forest Feature Selection (RFFS) algorithm is used to improve dependability of data transmission and processing prompt. Functionalities of RFFS comprise fault-tolerant data transmission, self-adaptive cleaning and data-load-deduction processing. The assessment of heart rate (HR) depends on wear devices is of attention in suitability. Photoplethysmography (PPG) is an auspicious method to evaluate HR owing to its lower cost; nevertheless, it is simply tainted by motion artifacts (MA). In our study, a robust method depend on random forest is projected for precisely assessing HR from the photoplethysmography sign soiled by intense movement artifacts exactly, a dependable transmission mechanism, achieved by a self-adaptive sieve, will recall lost or imprecise data inevitably. Over extensive simulations, we display that our anticipated scheme expands network dependability, and delivers a quicker processing rapidity. The suggested method is more accurate and resistant to extreme motion artefacts, suggesting that it could be used in smart technologies for fitness and health monitoring.
Educational Training For Processing Invoice Of Vendor Identification And Payments Using Python-Tesseract
Authors: Et. al. Rekha M,
Published: January 2024

The aim of the project is to recognize the invoices of receipts from various vendors, by using automated invoice processing using various learning educational tools. This automated invoice processing is far better than manual invoice processing, it saves a serious amount of time and money creating efficiencies and increasing the accuracy of captured data. Basically, the invoices were calculated from the scanned receipts by using python-tesseract software. Python- tesseract is an optical character recognition (OCR) tool for python. It will recognize and read the text embedded in images. So, this python-tesseract software extracts key information like bill or invoice number, amount etc.; from all receipts and imports the calculated invoices and total amount of all receipts which are given by vendors to the database.
Simulation Of Solar Water Heating System In Single Family House In Various Weather By Using Polysun Programs
Authors: Et. al. Hazim Jassim Jaber ,
Published: January 2024

This study is concerned with modeling and simulating clean sun energy and using it to heat water for the family using a program that depends on a set of basic parts, including (the storage tank, Flat plate collector). Where this study included temperatures ranging from 20 - 50 degrees Celsius and was found through the results, We note that the maximum temperature can reach 56 degrees Celsius between the sixth and seventh months and that the amount of heat losses reaches approximately 72KW in the seventh month and the amount of energy reaches 12KW / h.
Fuzzy Logic Based Secured Routing In Vanets
Authors: Et. al. J. Stalin,
Published: January 2024

Vehicular Adhoc Network (VANET) is becoming a fundamental important component of Intelligent Transport System (ITS). VANET is one of the evolutionary network for providing safety related services, management of traffic and other user related services. VANET communication involves either Vehicle to Infrastructure (V2I) or Vehicle to Vehicle (V2V). In the current scenario, Multi-hop Authenticated Proxy Mobile IP (MA-PMIP) scheme is used in VANET where only 3G networks is considered and the scheme is unable to support transmission of substantial massive data while maintaining the security. The performance of MAPMIP drastically degrades during transmission of huge volume of data which leads to huge power dissipation. To overcome these problems a novel Fuzzy logic Based Secured Routing (FBSR) mechanism is proposed. The FBSR prevents Sink hole attack and Sybil attack. In order to avoid collision during large file transfer, TDMA and multi-threading concepts are introduced in FBSR. Furthermore, the performance of FBSR is compared with contemporary routing protocols OLSR and AODV.
Convolutional Neural Networks Based Optimal Management of Agricultural Crops
Authors: Et. al. Mohammed Thajeel Abdullah,
Published: January 2024

Given the importance of agriculture, food supply, and food security, as well as population growth, the use of state-of-the-art technologies to increase agricultural productivity and mechanization with the least amount of loss and damage to crops and human beings has been highly prioritized. A great body of research has been conducted on and many solutions have been adopted for agricultural mechanization and reduced and optimized consumption of the available herbicides. Using convolutional neural networks and deep learning, this study sought to increase the accuracy of detecting grapes in the vineyard and of weeds in fields. For this purpose, the VGG16 Standard was utilized. The results indicated a 99% learning accuracy in the learning section for grape and weed detection. The validation and the final accuracy of detection for the machine designed was 63% for grapes detection and 95% for weeds. It was also demonstrated that the proposed method outperformed the KNN, decision tree, and random forest algorithms compared to the other algorithms and methods.
Analytical Model for Mitigating Primary User Emulation Attack using Hypothesis Testing in Cognitive Radio Networks
Authors: Et. al. Dr. Mahesh Kumar N,
Published: January 2024

The Cognitive Radio (CR) is the key technology to deal with spectrum scarcity by allowing unlicensed CR users to coexist with existing users in licensed spectrum bands without interfering with binding communications. Cognitive technology provides the spectrum ability to be shared with licensed networks. This radio system can adjust its transmitter and recipient parameters on the basis of interaction with the current conditions in the environment. Due to this flexibility cognitive radios are exploring different types of threats and security attacks. In this paper, we focus primarily on the Primary User Emulation Attack (PUEA) which is a major attack in the cognitive radio network. PUEA is similar to a Denial-of-service attack that can seriously disrupt the spectrum sensing process and deny other legitimate secondary users to access the available spectrum. We proposed a Neyman-Pearson composite hypothesis test (NPCHT) based analytical model to study the impact of PUEA in a fading wireless communication environment. Simulation results show that the proposed techniques can substantially reduce the impact of the malicious attack on the network
An Enhanced Video Assisted Health Education System
Authors: Et. al. K. Paavizhi,
Published: January 2024

Methodology plays a dominant role in any type of research. Research is a well-planned, systematic and cautious endeavour. It is a process, a way, a method, a means of finding out something new, or getting better understanding of something that we know already. A better understanding will take us nearer to reality and lead to better, wider and more forms of applicability of the phenomenon being researched. Selection of the research method was fully depending upon the nature of the study units to be followed.The purpose of the study was designed to found out the effectiveness of An Enhanced Video Assisted Health Education Module (VAHEM) in enhancing knowledge, Skill and Attitude among Secondary Teacher Trainees.
Mean Waiting time Analysis on Bukl Arrival Fuzzy Queueing System Using Maximum Likelihood Estimation
Authors: Et. al. V.Ramalakshmi,
Published: January 2024

Consider the Erlang k-phase queueing system on fuzzy environment and to obtain the optimal value of mean waiting time for the concern system. In this regard, here we proposed new algorithm, using alpha - cut method to construct the different value in the range of uncertain  and analyze the system performance level by the MINLP method and discussed a numerical example.
Conceptual Framework for Secure Cluster Management In Software Networks
Authors: Et. al. Chakali Maddilety ,
Published: January 2024

Software Defined Networks (SDN) is a new concept of network architecture that provides the separation of control plane (controller) and data plane (switches) in network devices. Hidden Markov Model (HMM) scheme is proposed for cluster management. The utilization of the bandwidth is an issue because of the extensibility of the control plane. The Control plane in SDN focuses on a centralized solution, where a single control entity has an overall view of the network. To meet the administration, the board necessities of large-scale network situations, the controls plane is regularly completed in the sort of distributed controller clusters, Cluster management technology monitors all sort of events and should keep up a reliable global network status, which usually leads to big data in SDNs. Cluster management technology monitors all types of events and must maintain a consistent global network status, which usually leads to big data in SDNs. Simultaneously, the cluster security is an open issue because of the programmable and dynamic features of SDNs.
Energy Efficiency In Wireless Sensor Network Using Dynamic Duty Cycle Based Sensor Mac
Authors: Et. al. Saravanakumar Pichumani,
Published: January 2024

Wireless Sensor Network is created by a huge number of sensor nodes normally powered by batteries and may not easily recharged. To extend the lifetime of the sensor node is a vital issue while designing a protocol in WSN. However, lowering the energy consumption may result in higher latency. To address on such trade-off issues, this paper proposes Sensor MAC (SMAC) dynamic duty cycle to improve SMAC fixed duty-cycle. S-MAC adjusts the duty-cycle based on dynamic utilization and average sleep delay. The proposed topology which is distributive in nature, controls the technique to schedule the nodes to wakeup time slots, and design a SMAC protocol to get benefitted from this topology control for improving the energy-efficiency, delay, and efficiently handling the spatially-correlated contention. Compared to Fixed SMAC the Dynamic SMAC lowers the Energy consumption in Fixed SMAC and performs very good Energy saving in circular, grid and random topologies.
Approximation methods to solve a single machine scheduling problem with fuzzy due date to minimize multi-objective functions
Authors: Et. al. Hanan Ali Chachan,
Published: January 2024

In this paper present three methodant colony optimization (ACO), particle swarm optimization (PSO) and bees algorithm optimization (BAO) to the  solution multi-objective function  of single machine problem with the fuzzy due date. The objective function to minimize total completion time and maximum lateness with a fuzzy due date. By a computer simulation used to  compare the performance of each algorithm with another one from where accuracy and time.
Factors influencing the microwave propagation performance of different types of materials
Authors: Et. al. Saib Thiab Alwan,
Published: January 2024

This paper focuses on studying and comparing specific various types of materials which are Silica glass ( ), , Titanium oxide ( ), Graphene ( ), Silicon ( ), Gallium arsenide ( ), and Chromium oxide ( ). It deals with single layer of each previous material in dielectric slab waveguide. Moreover, it studies and compares the effects of a microwave frequency ( ) of the applied electromagnetic waves on TE-modes under assumption of using a constant value of materials thicknesses.  It was clearly shown that waveguide parameters of different materials are different depending on its structure and its refractive index. Results and discussion section demonstrates overall comparing among these seven different materials.
Game Ai Using Parametrized Behavior Monitoring
Authors: Et. al. Raghav Suriyashekar,
Published: January 2024

Game AI with a Non-Player Controlled Bots is the systems that are built into a game. These systems offer competition or objectives that the player must overcome to progress. Although in most situations, these NPCs provide an acceptable level of competition, over time, they become predictable and no longer pose any challenge to the players. Game AIs and NPCs use a basic detection and computational system to perform actions that seem to oppose the players, and these are even lesser of an opposition to players and will lead to loss of worth in the section of the game that would be more enjoyable to those if the opposition would be more challenging.
The Role Of National Education In The Formation Of Personal Spirituality
Authors: Et. al. Ortiqova Dilbar Ortiqovna,
Published: January 2024

The article scientifically analyzes the role of national education in the formation of personality spirituality. The family is one of the oldest public organizations. The family lives according to centuries-old traditions, is a reliable foundation of a person, the core of his spirituality and morality. The family, in which a person spends most of his life, plays an extremely important role in society.
Molecular Interactions and Thermophysical Properties of 1, 4 Dioxane with Bromo benzene, Ethyl benzene at various Temperatures via Nonlinear Model
Authors: Et. al. R. Ramesh,
Published: January 2024

Viscosities and densities of 1,4 dioxane with hydrocarbon bromo benzene, ethyl benzene was measured over the entire mole fractions at temperatures ranging from 303.15, 308.15, and 313.15K. From these experimental results, excess molar volume VE and viscosity deviation ∆η was calculated. The VE and Δη exhibited positive and negative values, respectively, over the entire composition range in the order of 1,4 dioxane+ bromo benzene and < 1,4 dioxane +ethyl benzene systems. The outcomes indicated the weak interactions present in the mixtures. It exists mainly because of the number and position of methyl groups in these aromatic hydrocarbons. The molecular dynamics simulation studies for both the mixtures show no phase separation. The volume occupied by 1,4 dioxane + bromo benzene is lesser than 1,4 dioxane + ethyl benzene substantiating the experimental results of VE and Δη. Standard deviations from the Jouyban–Acree model between the fitting outcomes, and the calculated data are helpful deliberate mixing behavior of the binary mixtures. The molecular interactions existing between the components and comparison of liquid mixtures were also discussed.
"Hazard Analysis Critical Method (Haccpm) Implementation Analysis On Scrap Reduction At Pt. Tci Garut''
Authors: Et. al. Titto Rohendra,
Published: January 2024

Efforts to produce products in accordance with consumer needs, companies are required to produce quality products. Commitment to product quality will have a positive impact and win the competition for companies, especially in the food sector. For that, it is necessary to standardize the quality management system that is globally recognized. Hazard Analysis Critical Method (HACCPM) is a method to ensure food safety by obtaining HACCPM certification from the food organization used by PT. TCI Garut is a guarantee of food safety. The HACCPM method can identify key points in the production process, and it can help reduce the number of defective products produced. The results of applying the HACCPM method, PT. TCI Garut obtained HACCPM certification to ensure the food safety of its products, and succeeded in reducing the number of defective products from an average of 2.21% before HACCPM application to 0.91% after HACCPM application. From the results of HACCPM application, these important points are caused by the danger of pollution and the danger of additives that can endanger the health of consumers.
The Relationship between Motivation, Training, and Job Suitability with Employee Performance: A Study of Employees in the Private Sector
Authors: Et. al. Mohd Haizam Saudi,
Published: January 2024

Employee performance is an important factor in the success of an organization in the profit-oriented private sector. Deterioration of performance among employees will affect negatively towards the quality and productivity of the organization. The paper aims to examine the relationship between motivation, training, and job suitability for the performance of employees. A total of 136 respondents was involved in this study through distributed to employees working in a private company in northern Peninsular Malaysia. The findings of the study indicate that there is a moderate and significant correlation between motivation, training, and job suitability with employee performance. The findings reveal motivational factors are the most significant contributing factors to employee performance, which motivation is claimed to be crucial in improving employee performance. Employees will be more enthusiastic and strive to perform their duties if they are motivated. In addition, training and job suitability are also important elements in determining the level of performance among employees.
Baby Pillow Production Cost Calculation Assistance - Baby Fynnsass
Authors: Et. al. Andry Arifian Rachman,
Published: January 2024

Financial statements serve as a tool for analyzing financial performance that can provide information about the financial position, business, performance, and cash flow so that they can be used as a basis for making economic decisions. An important part of the financial report is the calculation of the cost of goods manufactured which will be used as the basis for determining the selling price of the product. The object of this service is aimed at micro, small and medium enterprises (MSMEs). The purpose of this service program is to provide an increase in knowledge in financial management properly and correctly to MSMEs, especially regarding partners' understanding of determining raw material costs, labor costs, factory overhead costs, to calculating the cost of goods manufactured. The solution offered is to implement manual and computerized calculation of the cost of goods manufactured. The method used in this community service is descriptive with a case study approach.
Corporate Value Impact Of Financial Management Policies
Authors: Et. al. Dede Hertina,
Published: January 2024

The purpose of this study was to determine the impact of financial management policies on firm value in the Automotive and Components sub-sector. Financial management policies in this study consist of investment decisions, measuring indicators using Price Earning Ratio, funding decisions using debt to equity ratios, dividend policies using dividend payout ratios and Price to Book Value as indicators of measuring firm value. This study uses panel data analysis which is a combination of periodic data and individual data. By using purposive sampling method, the total sample is 8 companies in the automotive and components sub-sector. Hypothesis testing is done by partially testing the effect of Price Earning Ratio, Debt to Equity Ratio and dividend payout ratios on firm value. The results of the study stated that Price Earning Ratio has a negative and insignificant effect on firm value, Debt to Equity Ratio has a negative and significant effect on firm value and Dividend Payout Ratio has a positive and significant effect on firm value.
The Determinants Of Employees’s Financial Literacy
Authors: Et. al. Djoko Roespinoedji,
Published: January 2024

Financial literacy is the education and understanding of how money is made, spent, and saved, as well as the skills and ability to use financial resources to make decisions. These decisions include how to generate, invest, spend, and save money. The concept can be applied to individuals and organizations. Good financial management is about long-term financial goals and to achive that, it is necessary to have an adequate knowledge in financial management. The aims of this study is to examine the extent of financial literacy among employees at all level of management in National Defence University of Malaysia (NDUM). The determinants that involved in this study are differences in ages, level of financial literacy, marriage status, type of job and level of education. The study employed a quantitative analysis  for  150 employees of the National Defence University of Malaysia. The level of financial literacy is divided into savings, debts, investments and monthly expenses. The discoveries of the investigation demonstrates that the degree of financial literacy are connected with the level of education. Neither age nor marital status  are associated with financial literacy among employees. This study contributes the body of knowledge of financial literature on financial literacy among employee  and revisit the determinants of financial literacy that are useful for policy maker to develope effective approaches in providing financial knowledge among the employees or targeted group.
Increasing Sales Through The Marketplace For Smes Affected By The Covid-19 Pandemic
Authors: Et. al. Azizah Zakiah ,
Published: January 2024

Indonesia as one of the countries affected by the Covis 19 pandemic has suffered many losses. One of them is the impact on the people's economy. Where many SMEs have closed, it is due to social distancing, which requires markets / malls and offices to close. Economist of the Institute for Development of Economic and Finance (INDEF) Aviliani revealed that MSMEs were the first sector to be affected by the corona pandemic. The reason is, the activity restrictions during the PSBB or PPKM made sales plummet. Bank Indonesia said as many as 87.5 percent of MSMEs were affected by the Covid-19 pandemic. Of this number, around 93.2 percent of them have a negative impact on the sales side. Based on the situation analysis and the results of previous interviews with partners, the problems faced by partners today are as follows: Lack of competitiveness in marketing products due to conventional sales, resulting in a decline in sales at the reseller level. Lack of mastery of science and technology, especially information and communication technology (ICT), especially the use of marketplaces to support digital product marketing. This community service program has been carried out well and smoothly online via zoom. The survey results indicated that this training was very useful and easy to implement.
The Effect Of Work Life Balance On Improving Employee Performance
Authors: Et. al. Shinta Oktafien,
Published: January 2024

This study aims to determine how much influence work life balance has on improving employee performance at PT Vegatyan Inti Prakasa. As for the population in this study are all employees who work in this company with the number of samples taken as much as the total population of 49 employees. The research method used is descriptive and verification research methods with processing techniques and data analysis in the form of simple linear regression analysis. Based on the results of data processing and analysis, it is known that work life balance has a significant effect on improving employee performance at PT. Vegatyan Inti Prakasa. Thus, it is known that if every employee who works has a balanced quality of life between work and life outside his / her job, then the work results shown by the employee can be even better
Analysis Of Cost And Gas Emissions In The Distribution Of Gallon Packaged (Case Study At Pt. Xyz)
Authors: Et. al. Muchammad Fauzi,
Published: January 2024

Transportation is an initial presentation of a supply chain to consumers. Determination of transportation routes greatly affects the costs incurred by companies in distribution activities, an increase in transportation means an increase in the exhaust gas. Motorized vehicles are a source of air pollution in the city of Bandung. Based on these problems, the calculation of transportation costs and exhaust gas emissions is influenced by the distance of delivery on the optimal route. The optimal route is determined by the saving matrix method with asymmetric distances and branch and bound methods with symmetrical and asymmetric distances. This research is to find the most appropriate and optimal shipping route to minimize transportation costs and minimize exhaust emissions. The result of route determination shows that the branch and bound method route has the lowest delivery distance of 38.5 km, while the saving matrix route has a delivery distance of 41.5 km. The most optimal route is generated from the branch and bound method with a transportation cost of Rp. 98,359,445. Exhaust gas emissions of the branch and bound method for each composition of CO, HC, NOx, PM10, CO2, and SO2 are 0.0162 tonnes/year, 0.0035 tonnes/year, 0.0341 tonnes/year, 0.0027 tons/year, 6.1061 tons/year, and 0.0016 tons/year.
The Effect Of Gender In The Implementation Of Self Ordering Machine In A Fast Food Restaurant
Authors: Et. al. Dini Verdania Latif,
Published: January 2024

The differences in the characteristics of male and female consumers also cause differences in purchasing decision making. Before buying products and services, female consumers will collect subjective information from the people around them, while male consumers prefer objective information based on the quality of the products and services. In addition, female consumers have a higher acceptance of risk when compared to male consumers. Therefore, female consumers are more careful in making purchases. Because of these differences in characteristics, this study aims to determine whether there are differences in adopting self ordering machines at fast food restaurants based on Theory of Acceptance and Use of Technology (UTAUT). Self Ordering Machine is a technological innovation in the company's business process that allows customers to order and pay for orders independently. With the implementation of the Self Ordering Machine, it is hoped that the company can improve its performance. The results showed that there were no differences between male and female consumers in adopting the Self Ordering Machine.
Selection Of Raw Materials For Leather Jacket Using The Analytical Hierarchy Process (Ahp) Method
Authors: Et. al. Didit Damur Rohman,
Published: January 2024

Cow leather, sheep leather, goat leather and buffalo leather are the raw materials for making leather jackets at PT X umkm. The selection of raw materials determines the quality of the leather jacket product with the appropriate criteria to meet quality standards. PT X has determined the best criteria in the production of leather jackets including physical, color, texture and moisture content as parameters for determining decision making. The end result of this study is which leather type best fits the required criteria. Determination of alternative choices for leather jacket raw materials using the Analytical Hierarchy Process (AHP) method. Determining the texture and moisture content is a decision that can be obtained for the multicriteria decision making materials for choice and identification of problems to develop in finding or formulating alternative problems using the Analytical Hierarchy Process method ( AHP) documentation from a library study from the calculation of cowhide with the results obtained that cow leather ranks first in all aspects of the criteria, starting from physical criteria, color, texture, and moisture content, with these results cowhide is in a higher texture and content. superior with total weight of cow leather1.66, sheep leather 1.07, goat leather 0.84 and buffalo leather 0.43. However, research continues to improve the addition of criteria and alternatives in the hope of increasing choices.
Blockchain Techniques for Secure Storage of Data in Cloud Environment
Authors: Et. al. Praveen Kumar Kollu,
Published: January 2024

The need for Blockchain advancement, as well as the importance of its use, has fueled ongoing research in a variety of theoretical and practical fields. Even as it is still in its early stages of development, the blockchain is being seen as a forward-thinking approach to modern technology issues such as decentralization, identification, confidence, character, data ownership, and information-driven decisions. The blockchain breakthrough offers major feedback when effectively searching for the optimal solution to storing and accessing cloud data. This essay examines the use of blockchain technologies to secure cloud computing. This research paper also presents a framework for secure storage of data in cloud computing environment. This framework makes use of smart contracts and access list for ensuring data security.
An Iterative Morphological Fuzzy Rule Based Classifier For Moving Vehicle Recognition
Authors: Et. al. I. Jothipriya ,
Published: January 2024

A novel fuzzy rule based classifier to detect and recognize the type of moving vehicle from video frame using iterative morphological image processing operations is presented in this research work. A traffic video for a time period is captured, converted into still frames, pre-processed by iterative morphological filter, foreground objects are extracted by Background Subtractiontechnique,boundaries of the vehicles are extracted by morphological operation and the detected vehicles are isolated by Bounding Box method. Fuzzy Rule based classifier is constructed to categorize and recognize the vehicles into different types(Car, Bike, Bus, Container& Truck) based on the structural features Height, Width and Area of the bounding boxes. Finally the proposed method is evaluated with the classification metrics confusion matrix, precision and accuracy and the experimental results show that the performance of the proposed system goes beyond that of the existing video-based vehicle classification techniques yielding 84% of accuracy.
Optimizationof Weightof Abelt-Pulley Drive Using Alo, Gwo, Da, Fa, Fpa, Woa, Cso, Ba, Pso And Gsa
Authors: Et. al. RejulaMercy.J,
Published: January 2024

Optimization methods are presently used in solve many problems in the world. Belt Drives are used to transfer rotating motion from one shaft to another shaft. In this paper weight minimization of a belt –pulley drivesis solved using ten non-traditional optimization methods.The results show that the Particle Swarm Optimization outperforms compared to the other methods.
Comparison Of Different Feature Extraction Techniques In Telugu Dialects Identification
Authors: Et. al. S. Shivaprasad,
Published: January 2024

The Telugu language is one of the standard and historical languages in India. Like other spoken languages, the Telugu language also contains different dialects i.e., Telangana, Costa Andhra and Rayalaseema. The research in dialects identification (DI) work is very less as compared to other speech processing applications. For the research Dialect identification (DI) in Telugu language, database is very important, but there is no standard database. To carry out the research work in DI, we created the database of Telugu Language with different dialects and we anlyzed different feature extraction techniques to implement system. In this paper, we compare the performance of different models given by applying the different feature extraction techniques such as spatial, temporal, and prosodic features in Telugu dialect identification. We have applied different classification models i.e., K-Nearest Neighbour (K-NN), Gaussian Mixture Model (GMM) and Hidden Markov Model (HMM). It is observed that GMM model provides good accuracy with MFCC+∆MFCC+∆∆MFCC and MFCC+PITCH +LOUDNESS features compare to HMM model.
Tree Domination Number Of Middle And Splitting Graphs
Authors: Et. al. S. Muthammai,
Published: January 2024

Let G = (V, E) be a connected graph. A subset D of V is called a dominating set of G if N[D] = V. The minimum cardinality of a dominating set of G is called the domination number of G and is denoted by g(G). A dominating set D of a graph G is called a tree dominating set (ntr - set) if the induced subgraph áDñ is a tree. The tree domination number γtr(G) of G is the minimum cardinality of a tree dominating set. The Middle Graph M(G) of G is defined as follows. The vertex set of M(G) is V(G)ÈE(G). Two vertices x. y in the vertex set of M(G) are adjacent in M(G) if one of the following holds. (i) x, y are in E(G) and x, y are adjacent in G. (ii) xÎV(G), yÎE(G) and y is incident at x in G. Let G be a graph with vertex set V(G) and let V′(G) be a copy of V(G). The splitting graph S(G) of G is the graph, whose vertex set is V(G) È V′(G) and edge set is {uv, u′v and uv′: uvÎE(G)}. In this paper we study the concept of tree domination in middle and splitting graphs.
Microfinance And Empowerment: A Case Study On Beneficiaries Of A Community Development Program
Authors: Et. al. Muhammad Abrar ul Haq ,
Published: January 2024

In the current era, for developing countries, empowerment as a mechanism for poverty alleviation, is becoming a challenge. Poverty alleviation requires a shift from a traditional “top-down” approach to a “bottom-up” approach. This can be done by building capacity within the communities. Considering the importance of the bottom-up approach a microfinance institution started its activities in a small village under the scheme of a community development program for getting sustainable empowerment. In order to explore the change that has occurred because of microfinance, provided under the scheme of a community development program, a qualitative study has been conducted. For data collection, two focus groups were conducted over the community development program. The findings revealed that beneficiaries experienced four different phases of empowerment; sensitization, intervention, initiating empowerment, and sustainable empowerment.
Features of the Creation And Functioning Of Free Economic Zones In Uzbekistan
Authors: Et. al. Kuzieva Nargiza Ramazanovna,
Published: January 2024

The article examines such tasks as the role of free economic zones in the economy of the state, the features of the emergence and development of tax regimes, free economic zones as a category in the economy and their need for the development of the country. The article provides an analysis of domestic, their development of free economic zones and the existing tax regime, an analysis of the regulatory framework for the creation and functioning of free economic zones, as well as an analysis of the economic indicators of free economic zones and the tax incentives they use.
Social of Women and Girls in Our Country-Improvement of Political and Social Activity Factors
Authors: Et. al. Ismailova Zuxra,
Published: January 2024

The article gives an idea of the factors that improve the activity of women in the socio-political spheres, the opportunities that high organizations give to women, the conditions, the activity and initiative of women in the life of a separate society and the state, the strengthening of the formation and well-being of the family with its effective efforts, the awards given to
Múltiplos sentidos de direito e a busca do significado principal
Authors: De Moraes Renato José
Published: January 2024

As noções de analogia e de atribuição ad unum, desenvolvidas por Aristóteles e por pensadores medievais, referem-se a conceitos que, embora expressos pelos mesmos termos, são dotados de significados em parte iguais e em parte distintos. Essas noções podem ser empregadas para compreender os diversos significados da palavra "direito", identificando uma hierarquia entre eles. Segundo os juristas romanos, o significado originário de direito é o de ipsa res iusta, a própria coisa justa. Ou seja, o objeto de um ato de justiça, aquilo que é devido a uma parte em uma relação equilibrada de troca de bens. A partir dessa significação, derivaram-se outras duas fundamentais: a do direito como técnica, pela qual é descoberto o direito - a coisa justa - em um caso concreto; e a do direito como norma, porque esta é a razão e a medida do direito coisa justa. Vemos que se trata mesmo de atribuição ou predicação ad unum, porque os três conceitos são efetivamente "direito", porque têm um fundamento comum; ao mesmo tempo, são distintos entre si.
Um Direito Administrativo de Transição: o conceito de direito administrativo na cultura jurídica da Primeira República Brasileira (1889-1930)
Authors: Guandalini Junior Walter , Pfuetzenreiter de Lima Teixeira Lívia Solana
Published: January 2024

o presente estudo pretende dar continuidade às pesquisas que têm sido realizadas sobre a história do direito administrativo brasileiro no período imperial, avaliando o modo como a disciplina se desenvolve durante a Primeira República brasileira e o diálogo que ela estabelece com a doutrina administrativista europeia do período. Para isso, examinou o conceito de direito administrativo produzido pela doutrina jurídica europeia do início do século XX, levando em consideração o contexto histórico em que circulava e as funções políticas que desempenhava; em seguida analisou o conceito de direito administrativo produzido pela doutrina jurídica brasileira da Primeira República, avaliando as funções concretas que cumpre ao ser articulado no contexto local; e ao final concluiu que o conceito de direito administrativo desenvolvido pela cultura jurídica da Primeira República Brasileira é um conceito de transição, a meio caminho entre as tarefas de consolidação da estrutura administrativa do Estado brasileiro e instrumentalização do exercício das prerrogativas estatais sobre os particulares em seu trabalho de reorganização da vida em sociedade.
Constitucionalismo, direitos fundamentais e estado de direito na Índia contemporânea: análise da literatura constitucional indiana e suas variantes no contexto de uma jurisdição constitucional ativista
Authors: Coelho Diva Julia Safe , Pinto Coelho Saulo de Oliveira , Diniz Ricardo Martins Spindola
Published: January 2024

O presente artigo constrói uma comparação entre os marcos nomológicos da Constituição da Índia e as diferentes abordagens sobre o papel da jurisdição constitucional e dos direitos humanos e fundamentais na experiência jurídica indiana, segundo as diferentes tendências de abordagem construídas pelos próprios constitucionalistas indianos. Parte, como principal estratégia metodológica, da configuração de uma amostragem de obras presentes na literatura jurídica indiana sobre a constituição e a efetivação de direitos. Ademais, incrementa-se a análise a partir da reflexão sobre a influência das diferentes culturas tradicionais presentes na complexa sociedade indiana, nas igualmente diferentes perspectivas do constitucionalismo contemporâneo indiano. Como principais resultados verifica-se não só a existência de posições conflitantes na cultura constitucional da Índia, mas também uma tendência geral de centrar na análise da atuação ativista da Suprema Corte da Índia o debate constitucional do país. Ao mesmo tempo, verificou-se que, tanto a tensional relação da normatividade constitucional com as normatividades tradicionais, quanto a própria primazia da jurisdição constitucional ativista na Índia contemporânea, carreiam para a experiência constitucional problemas de efetividade dos direitos fundamentais, por diferentes e peculiares razões analisadas na presente investigação.