bluuebunny/crossref_metadata_2025 huggingface dataset:
Parikh Fuzzy Vector for Finite Words of Rectangular Hilbert Space Filling Curve
Authors: Et. al. Thiagarajan K,
Published: January 2024

Parikh Fuzzy vector for finite words of Rectangular Hilbert Space Filling Curve is introduced. Recurrence relations for this vector and its complement vector are produced.  It is shown that the components of the Parikh Fuzzy vector are equally distributed at the limiting level.   Hence, it is observed that the Parikh Fuzzy vector tends to a constant vector as n tends to infinity. Moreover, it is also valid to any other kinds of Space Filling Curves like Lebesgue Space Filling Curve, Peano Curve and Moore Curve
Quality Assurance of IoT based Systems using Analytic Hierarchy Process
Authors: Et. al. Rohini Temkar,
Published: January 2024

The Internet of Things (IoT) has attracted wide attention in various industrial and customer applications. In 2021 there will be approximately 50 billion devices connected to IoT across the globe. With the increasing globe, the question arises to focus on quality assurance of the IoT applications. The performance of the IoT-based systems is the directly dependent quality of hardware and software. Quality assurance (SQA) is a crucial factor for maintaining the quality of service of IoT-based applications. The existing quality models mainly focus on the software aspects of the applications. This paper presents an Analytic Hierarchy Process (AHP) for the quality evaluation of IoT applications which comprises software as well as hardware. An agriculture field monitoring system application based on Wireless Sensor Network (WSN) and IOT is considered to evaluate the proposed quality model. We present simple Fuzzy logic algorithm for the agriculture field monitoring. The performance of the proposed quality model is evaluated against various quality attributes such as functional suitability, compatibility, maintainability, usability, performance efficiency, security, reliability, and portability. The proposed SQA approach gives a consistency index and overall quality measure of 0.061 and 0.7564 respectively. It has shown significant improvement over the previous state of arts such as Grey and IA-QM SQA approaches.
Survey paper on different Cloud Auditing Systems
Authors: Et. al. Poonam Malik,
Published: January 2024

Let us start by considering that there is a public pool of computer resources, these resources are made available as and when required i.e., are offered on-demand to the users. This is Cloud Computing in its simplest and most basic form. The different cloud services being offered can be categorized as application as a service (PaaS), infrastructure as a service (IaaS), and software as a service (SaaS). The requirements of a cloud user fall under any of these services and accordingly can be offered to the cloud user.

In current times, there is lot of interest in cloud computing as well as in its adoption. But the cloud users are fearful of losing the power and governance due to lack of transparency, accountability and confidence in the cloud. To improve the trust of cloud users, the cloud can be audited and verified against cloud user’s security properties. This helps in instilling a sense of faith in cloud users that their security properties are respected in the cloud. The cloud presents several problems in collection of data and processing due to the irregularity of information architecture and the lack of correlation. Furthermore, on one hand the size of cloud is humongous and on the other hand there is continuous or runtime need of validation, hence the verification of security properties becomes a difficult task.

Still, lot of work is happening in cloud security auditing. In this paper, we will try to review and summarize some of the recent work done in this area.
The Impact of Generative Study Strategies on Prospective Teachers’ Reading Comprehension and Recall of Short Stories
Authors: Et. al. Mrs. P. Priya,
Published: January 2024

Reading and Recalling skill provides support to prospective teachers with new learning ways and practices.  The art of generative teaching is knowing how and when to facilitate the learner’s construction of relations among the parts of the text and their knowledge. The aim of the study is to find the impact of generative study strategies of the prospective teachers’ reading and recall of short stories. Experimental method was adopted in this study. The sample consists of 60 prospective teachers with both male and female of summarization group, question-generation group and control group in Thoothukudi area.  Simple random sampling technique was used. R.K.Narayanan’s three short stories were selected as the material for the study.  The statistical techniques used were mean, standard deviation, t-test and Pearson product moment correlation. The findings were: there was significant relationship between prospective teachers’ reading comprehension and recall test of the three groups.  There was also positive correlation with respect to gender, locality, medium of instruction in school level and college level, speaking in English and reading English story books among the groups.
Implementation of Simple Low Cost PV Panel Characterization Kit using Arduino
Authors: Et. al. R. Ramaprabha,
Published: January 2024

Temperature, solar irradiation, direction and spectrum of sunlight always has influence on the generation of power in photovoltaic (PV) system. Temperature and irradiation are erratic in nature. It affects the efficiency of PV module. In view of module’s low efficiency, it is prudent to work the module at peak power point. By that maximum power can be delivered to the load under waffling temperatures and solar radiations. The PV panel characteristics are known under the standard test conditions (STC). In practical situations, the PV characteristics are undisclosed out of STC. Therefore, the measurement of PV peculiarities such as voltage, current and power are required in real-time. This paper adducing a low cost PV characterization kit which is based on Arduino UNO and Excel. It is used to monitor the characteristics on PV side as well as load which is connected to source through maximum power point tracker. A simulation study of the MPPT with perturb and observe algorithm is carried out in MatLab/Simulink. Hardware is built to validate the simulation results
Impact of Brand Loyalty on Customer Satisfaction (An Empirical Analysis of Clothing Brands)
Authors: Et. al. Shirin Jamal,
Published: January 2024

Purpose of the study: This study explored to prove whether this relationship really exists or not. So author examined the case of a clothing brand. Three different types of customer satisfaction were distinguished: (i) satisfaction with the clothes; (ii) satisfaction with the sales service and (iii) satisfaction with the after‐sales service. It was expected that all three types of satisfaction would be influenced by brand loyalty.

Methodology: Three brans have been selected three famous brands of Pakistan (Ideas, Outfitters and J.). and researched on them from 2018-2019. We have mail and got 122 responses from the customers of these brands and we have physically filled some questionnaires from customers also and collected an integrated data of 151 responses. The three different types of customer satisfaction and the intention to buy the same brand of clothe again, as well as the intention to buy from the same dealer again were measured.

Main Findings: The analyses of the results revealed that: customer satisfaction with the clothes is major determinants of brand loyalty. In this case Customer satisfaction is dependent and brand loyalty is independent because they have a causal relationship because when the brand will be loyal to its customers then the customers will be satisfied with the brand. Our brands are the most famous brands and are the market setters and compete with each other very well. So, we have selected these because they all are most accurate according to our research topic and there is no bias sampling in these sample. Furthermore, it was found that the strength of the relationship between different types of satisfaction and loyalty is the quality of clothes and the after services given by the brand.

Application of this study: This study will contribute toward new clothing brands who they are new in their track and struggling for the customer satisfaction with loyalty. Furthermore, the results of this study also can help out to the brands that has been taken as sample to understand their market and to improve them.
Cross-Flow Flat-Plate Heat Exchanger Using Computational Fluid Dynamics Simulation on Wood Drying Chamber
Authors: Et. al. La Ode Mohammad Firman,
Published: January 2024

Engineered wood must undergo a long period of drying process before it is ready to be used. Therefore, a new heat exchanger technology must be invented to dry the engineered wood more effectively. The quality of the engineered wood is one of the factors influencing the production process. This research was conducted to identify the optimal temperature for drying engineered wood using a cross-flow flat-plate heat exchanger with unmixed fluid arrangement and to determine the heat exchanger’s most efficient number of passes.

This research was conducted using the numerical method (CFD simulation) and the Ansys Fluent software. In this research, the viscosity, density, and pressure constant were determined to be at 1 atm. We used air as fluid medium with a mass density of 1,228 kg/m3, air thermal conductivity of 0.0286 W/m.K, fluid viscosity of 2,0349.10-5 N.s/m2, steam mass density of 0.689 kg/m3, and thermal conductivity of 0.0370 W/m.K.

Results showed that, in order to increase the air temperature in the drying chamber, heat energy of 69566.01 kJ/s must flow into the flat-plate heat exchanger. Further calculations show that the heat exchanger’s effectiveness (ϵ) was 25% and that the average temperature in the heat exchanger on the air side and the gas side was 68.63 oC and 172.5 oC, respectively.
Analysis Of Factors Responsible For The Better Performance Of Employees Private Organisation In Chennai City
Authors: Et. al. K. Mutharasi,
Published: January 2024

Performance of the employees in the private sector in the city of Chennai its covered by the are reason, but all kinds of organisation must to concentrate the performance in the level of basic to the top level management. The management people are also advice to the current situation is not the easy task of the business people, so we want to provide a right way for the right kinds of employees. The level of employee’s motivation is very essential one in the field of human resources. The human resource management does not have any limitation for the service proving functions. The article contain the  scope and objectives behind the study is to find out the important factors which are responsible for the better performance of employees.  This study also contains, chi-square test table, findings, suggestions and also its limitations.
Performance Enhancement In WDM – FSO System Using Semiconductor Optical Amplifier Under Different Rain Conditions
Authors: Et. al. Ahmed  Abdulelah,
Published: January 2024

The free space optics (FSO) is considered as an attractive technology of telecommunication networks, due to several benefits as compared to other communication systems. However, signal degradation due to various weather conditions caused by wave attenuation can distort the performance of (FSO) connection link. The optimum performance is achieved by connecting a 5 Gbps optical amplifier at different places within the system. A laser source of 35 dBm power was transmitted at different weather conditions. Two systems were compared and analyzed. Results represented by both parameters (Q-factor, BER).
The 'Bottle Villa' Of Illusions and Desires: A Critical Study of The Tragic Heroines of Atwood's Surfacing and Tenesse William's A Streetcar Named Desire
Authors: Et. al. Aiswarya Jayan,
Published: January 2024

"Obstinately she tried to control and defy her destiny and to know her story is to be inspired by pity and terror" - Elain Dundy

The literary landscape resounds with the echoing hollering of the great tragic heroes, whose Homeric lives had made the literary vista resplendent. But amidst the din, there exists the complex caricatures of tragic heroines who stuns us with the sheer intensity of the paroxysm that is their lives. Tennessee Williams and Margaret Atwood has given the world two such heroines whose lives are akin to the constrictor knots i.e their lives tighten and strangles them as they try to escape from it. This paper is a novel attempt to collate the tortuous characters of these women who has intrigued the audience with their fascinating psyches.
Modal Analysis Of Carbon/Epoxy Plate By Varying Fibre Orientation
Authors: Et. al. Venkata Sushma Chinta,
Published: January 2024

Composite laminated plates are widely used in the field of aerospace and navy for some advantages such as higher ratio of stiffness and strength to weight. A variety of laminated plate theories have been developed and applied to engineering practice. Mode shapes do describe the configurations into which a structure will naturally get displaced. Typically, lateral displacement patterns are of primary interest. Based on the load carrying capacity, Structures cannot be regarded safe but should be safe considering the structural dynamic aspects as well. Modal analysis is used to find the offending frequencies and eliminate them by varying the stiffness or mass to ensure the structure is safe from the natural frequency problems.In this paper modal analysis of a SS rectangular plate made of carbon epoxy is carried out using FEA and the results are compared with analytical solution.The fibre angle is changed systematically to see the effect of fibre orientation on natural frequencies and the corresponding mode shapes. The first six natural frequencies and mode shapes of composite laminated plate are obtained. Presented results showed that the properly chosen fibre angle contribute to better dynamic performance, which provides greater flexibility in designing composite structures to suit the engineering need.
Brainstorm optimization for multi-document summarization
Authors: Et. al. Tamilselvan Jayaraman,
Published: January 2024

Document summarization is one of the solutions to mine the appropriate information from a huge number of documents.  In this study, brainstorm optimization (BSO) based multi-document summarizer (MDSBSO) is proposed to solve the problem of multi-document summarization. The proposed MDSBSO is compared with two other multi-document summarization algorithms including particle swarm optimization (PSO) and bacterial foraging optimization (BFO).  To evaluate the performance of proposed multi-document summarizer, two well-known benchmark document understanding conference (DUC) datasets are used.  Performances of the compared algorithms are evaluated using ROUGE evaluation metrics.  The experimental analysis clearly exposes that the proposed MDSBSO summarization algorithm produces significant enhancement when compared with the other summarization algorithms.
An Overview Of Online Purchase Intention Of Halal Cosmetic Product: A Perspective From Malaysia
Authors: Et. al. Roszi Naszariah Nasni Naseri,
Published: January 2024

The purpose of this paper is to provide an overview on online purchase intention of halal cosmetic product among consumers in Malaysia. A total of 400 questionnaires were distributed to experienced online shoppers across different age groups, using purposive and convenient sampling techniques. Data obtained was analysed by using SPSS. The result showed that majority of respondents are female and malay, aged range 21-30 years and had a diploma. Employment status is from the private sector and the monthly income is around less than RM2000 and has 1 - 2 years experienced as online shoppers. The results is beneficial for internet retailers to serves as a guidelines to cater and target their customers well.
Assessment Methods.
Authors: Et. al. Mardanova  Firuza  Subhanovna,
Published: January 2024

Alternative assessment is type of assessment practice that seeks to assess learners’ language abilities, in ways other than how traditional standardized tests did. The present article reviews the issues related to alternative assessment and adopts a partly critical position regarding some of the related arguments. The advantages as well as quality concerns are discussed and a number of challenges that need to be dealt with are considered. Finally suggestions are made to ameliorate practice.
Predictive study on Mechanical strength of Lightweight concrete using MRA and ANN
Authors: Et. al. R. Pranamika,
Published: January 2024

The lightweight concrete is preferred over regular density concrete as it which reduces the dead load of the structure due to its lower density. The reduction in dead load of the structure, resulting in a considerable decrease in the size of structural elements and reinforcements; thereby, the building's cost can be reduced. The lightweight concrete is achieved through natural lightweight aggregates, artificial lightweight aggregates, coconut shells, oil palm shells, aeration in concrete, etc.  The mechanical properties like compressive strength, tensile strength, density depend upon lightweight aggregate, fine aggregate, super-plasticizer, cement content, water-cement ratio, etc. The mechanical properties can also be predicted using artificial intelligence from the existing data. This research aims to predict lightweight concrete's mechanical properties using MRA and ANN accurately.
The Effect of Using Posse Strategy on Logical Thinking among Second Intermediate Class, Females Students, in Mathematics
Authors: Et. al. Ghalib Khazaal Mohammed,
Published: January 2024

The current research aims to identify the effect of using Posse strategy in logical thinking among second- intermediate class (female students) , in Mathematics. To verify the aims of the research, a null hypothesis was used.  (no significant statistical difference was  found at the level of  (0.05 ) among the average of the scores of experimental group  who study under the ordinary  method in testing the logical thinking . The current research has been limited to the female students of second intermediate class at intermediate day – time schools, secondary day – time schools, belong to the state directorate of Rasafa / 2 in Baghdad, first academic term of the academic year 2020 – 2021. The researchers s have adopted the experimental approach of the partial control on two groups (experimental and control) of dimensional test.

The researchers s have chosen the intermediate school of distinctive students to apply the experiment. Two classes have been chosen randomly to represent the experimental group including (31) students, and other two classes to represent the control group including (30) students. The total number of the students was (61) . The two groups were rewarded in the variables (chronological age calculated in months, previous achievement in mathematics, IQ test and a prior knowledge test), as well as adjusting other variables. The experimental group was taught according to Posse strategy, while the control group was taught according to the ordinary  method . The researchers s have studied the two groups by herself . To measure the logical thinking of the female students, the researchers s have prepared a test for this purpose consisting of (30) paragraphs of the multiple choice type with four alternatives.

     After applying the test and processing the data statistically, using the T-test for two independent samples, the results came out as follows (there is a statistically significant difference at the function level (0.05) between the average scores of the experimental group students who studied according to the Posse  strategy and the average scores of the control group students who studied according to the ordinary  method of the logical thinking  test , and  for the benefit of the experimental group ) . In light of the results, several conclusions were obtained.  

The use of Posse strategy contributes to increasing the effectiveness and excellence of the students and makes them the focus of the educational process, and that the Posse strategy helps the students in the ability to store information, remember it and recall it when needed. The researchers s recommended encouraging mathematics teachers at all school levels to use the posse strategy. Several proposals have been made, including conducting similar studies to know the effectiveness of using posse strategy in other variables; such as concepts acquisition, thinking development, attitudes development, and others tendencies.
A Study On Students’ Perception On Online Learning During Covid-19 Pandemic
Authors: Et. al. R Muthukrishnan,
Published: January 2024

The primary objective of the study is to find out the student’s perception towards online learning during this pandemic situation since the educational platform has taken a sudden shift to a new platform from the traditional classroom learning methods, thus the study focuses on how students have perceived it and to identify the difficulties associated with this transition.
Insurance Fraud Detection using Spiking Neural Network along with NormAD Algorithm
Authors: Et. al. Gopikrishna Panda,
Published: January 2024

General automobile insurance in recent years, has seen a huge escalation of fraud cases. The requirement of utilizing well organised and coherent technique to check on or determine user those are potential frauds. Thus, the deployment of the NormAD algorithm with less delay to enhance the safety and authorized in the operative process. The paper here describes attribute extrication method and Spiking Neural Network structure to resolve the issue of identification of automobile insurance fraud. The attribute second-level extrication algorithm coined in this paper can efficiently derive key attributes and enhance the identification accuracy of succeeding algorithms. So as to achieve to resolve the issue of unstable simulation allotment in the automobile insurance fraud identification scheme, an exemplary distributed method established on the plan of small unit proportion balance is presented. Formulated on the above techniques of attributes extrication and sample division, a model established on Spiking Neural Network with NormAD Algorithm is proposed. This method utilizes the complete goal of implementation of the Spiking Neural Network model algorithm that rely on Spiking Neuron, and ultimately accomplishes in enhancing the exactness of the detection of Automobile Insurance Fraud.
Intensification and Extensification of Entertainment Taxes to Increase Own-Source Revenue (PAD) in Makassar City
Authors: Et. al. Nurdin Nara,
Published: January 2024

Intensification and extensification strategy are an effort to extract tax revenue. Intensification refers to an activity to optimize tax revenue collection for objects and subjects that have been recorded or registered in DJP administration, whereas extensification is an effort to explore new sources of local revenue. The purpose of this study is to illustrate the efforts to increase regional own-source revenue (PAD) through the intensification and the extensification strategies towards entertainment tax revenue in Makassar City. The research method applied is descriptive qualitative research. The results of this study indicate that the intensification and extensification strategy has generally been running quite optimally, but there are still parts that need to be addressed, such as the entertainment tax regulations and tariff setting. These are to increase the number of entertainment taxpayers that are currently not optimal. According to data, the number of mandatorily registered taxpayers in 2017 was 30 people, while it dropped to 25 people in 2018. As for the tax collection system, the procedures for determining taxes and the accounting system have been very effective in supporting the improvement of the original revenue of Makassar City.
Rational perception of reality and its relationship to ethical decision-making among female students of the kindergarten department
Authors: Et. al. Dunia Faris Abdul-Ghani Al-Chadirji,
Published: January 2024

The current research aims to identify the relationship between rational perception of reality and ethical decision-making among female students of the Kindergarten Department, and to achieve the objectives of the research, a random sample was selected and amounted to (482) female students from the Kindergarten Department in the College of Basic Education / Al-Mustansiriya University for the academic year (2020-2021), the researcher has built a scale of rational perception of reality consisting of three components, and also built an ethical decision-making scale consisting of six positions, each position has six alternatives, psychometric properties were extracted from the validity and reliability of the two scales, as the results indicate that there is a relationship between rational perception of reality and moral decision-making among students of the kindergarten department, but it is weak.
A Hybrid Framework For Drug Response Similarity Opting Machine Learning Approach
Authors: Et. al. M Supriya Menon,
Published: January 2024

Because of the computational complexity of numerous to count multivariate attributes, the medical realm is revolutionized in terms of Diseases, Diagnosis, and Treatment Prediction, putting tremendous emphasis on the consistency of the study. Despite this, many methods such as Clustering and Classification have dominated the day, leaving just a few hairline holes on the road to full productivity. By using advanced K-Means in predicting Drug probability in core characteristics of Patients, our Deep Learning-based solution aims to close these holes. The suggested Methodology focuses on assessing Drug Response Similarities using an improved clustering approach that takes into account sensitive patient characteristics. We conclusively achieved its accuracy on the UCI Patient dataset, with improved Quality Variable outcomes.
Image Generation for Real Time Application Using DCGAN (Deep Convolutional Generative Adversarial Neural Network)
Authors: Et. al. Dr. V. Vijeya Kaveri ,
Published: January 2024

As the technology keeps developing the unimaginable possibilities keep happening. And it leads to easy use of our daily life. In image processing when the CNNs came to our life it makes the world to turn around and makes the human work easier in all organization. Convolutional Neural Network were mainly used in computer vision, mainly in face recognition, image classification, action recognition, and document analysis, but these gets difficult when comes to dataset. Gathering dataset for machine learning is time consuming operation, at that point the new technique called GAN were introduced. It can predict that whether the image is real or not, which is a next level improvement of machine learning techniques. Our aim is to improve the creativity of the machine and generate different type of images which will be useful in the fields like animation and designing. Here in our paper, we will use the Deep Convolutional Generative Adversarial Networks (DCGAN) where it will be used to generate new images that are not in the dataset. And it's been a huge success in terms of creating new images. MNIST dataset and Anime dataset   are used here, by using the DCGAN in it and try to create pictures that are similar to the datasets.
Identification of Throat Cancer by Machine Learning : A Surey
Authors: Et. al. R. Akshara,
Published: January 2024

Medical applications in Machine Learning (ML) algorithms is well-being state on analyzing the different attributes that have a high impact on getting illness. Cancer is one amoungof the human disease where researchers are still struggling for the complete cureness and it is also unpredictable. Cancer is a heterogeneous disease and its treatment varies from one type to another and can inculcate different phases. Throat cancer is a tumor that spreads throughout the voice box (larynx), tonsils, or throat (pharynx). In the initial stage, it is actively recommended to diagnose throat cancer and get proper medication. Deep Learning (DL) image processing techniques and ML techniques are used to effectively predict the throat cancer specifically for the supervised learning classification algorithms. This paper reviewed theML and DLbased researchactivities undertaken to classify cancer of the throat cancer.
A Study Of Employee Development And Training In Private Industry In India
Authors: Et. al. Sule Bipin Subodh ,
Published: January 2024

Training and development is the field which is concerned with organizational activity aimed at bettering the performance of Individuals and groups in organizational setting. It is a combined role often called human resources development (HRD) meaning the development of “Human” resources to remain competitive in the marketplace. Training focuses on doing activities today to develop employees for their current jobs and development is preparing employees for future roles and responsibilities. It carry out an analysis that the objective of training and development is to creative learning organizations which ensure that employees through value addition can effectively perform their jobs, gains competitive advantage and seek self-growth: this measurable performance resulting from good training and development, shall enhance organization development. It is a process transferring information and knowledge to employers. It is equipping employers to translate that information and knowledge into practice with a view to enhancing organization effectiveness and productivity, and the quality of a management of people. It should be considered along with education policies and systems which are crucial to the development of human resources.
Deep Learning For Improved Heat Index Using Iot-Based Data
Authors: Et. al. Dr. C. Jayaprakash,
Published: January 2024

In this era, global warming is the chief cause of climate pollutant produced by CO2 and other chemical emissions. This set of components generates a high temperature and drastically changes the climate. Minimizing carbon-emitting activities can help lower the global warming. as a result of developed technology, almost all the products have carbon dioxide as a major by-product With regard to global warming, a prediction is necessary to avoid catastrophe. Several researchers were examining the projected temperature range based on the yield of crop yields, one of which found an increase. However, algorithms were challenged by a room monitoring or crop yield like application. So, instead, a deep learning is suggested to achieve the task of predicting the heat index in this context. There's a database in the Climate Prediction Center in which the temperature data was collected from the Kaggle dataset. it includes temperature sensor-based time series data, in the Internet of Things Incomplete data is predicted with the long-term memory and deep learning model The effectiveness of the neural network is assessed through accuracy, sensitivity, and specificity, and it is compared to a generalized linear regression. All MATLAB R2020b software is running under Windows 10 in parallel.
Analysis On Radar Image Classification Using Deep Learning
Authors: Et. al. B.Yamini Pushpa,
Published: January 2024

The progress of the last 10 years of deep learning technology has inspired many fields of research, such as the processing of radar signal, speech and audio recognition, etc. Data representation acquired with Lidar or camera sensors are used for most prominent deep learning models, leaving automotive radars seldom used. Despite their vital potential in adverse weather conditions and their ability to seamlessly measure the range of an object and radial speed. Since radar signals have still not been used, the available benchmarking data is lacking. In the recent past, however, the application of radar data to various profound learning algorithms has been very interesting, since more datasets are being provided. This article aims to describe a new method of grading applied for the synthetic aperture radar (SAR), followed by fine tuning in such a grading scheme; Pre-trained architectures in the ImageNet database were used; the VGG 16 had actually been used as a feature extractor and the new classifier was trained based on the extracted features. The Dataset used is the data acquisition and recognition (MSTAR) of the Moving and Stationary Traget; for ten (10) different classes we have achieved a final accuracy of 97.91 percent.
Agricultural Product Safety: Vertical Farm Project Concept
Authors: Et. al. Zhaina  Zhanaykyzy TOLEGEN,
Published: January 2024

In this article, we propose the concept of developing a modular cell for the construction of a vertical truss, which is attached to the bulk of residential buildings. The main idea is to introduce a modular cell in the Kazakhstan market for the development of urban farming. Vertical farms made up of modular cells are designed for growing organic agricultural products in urban environments. It is proposed to place vertical trusses in the blind, functionally undeveloped ends of residential buildings.The relevance of the production of organic agricultural products is outlined in the strategic development plan of the country, as one of the important areas responsible for the growth of the well-being of the people and the health of the younger generation. One of the well-known methods of organizing organic agriculture in urban settings is the use of vertical farms. Vertical trusses are widely used in the form of separate equipment-racks located inside the room. There are design proposals for vertical trusses in the form of separate independent buildings. The vertical truss proposed in this study consists of modular cells, which allows you to apply different compositional solutions. This cell has the ability to be arranged in different ways and adapt to any area. Vertical trusses will be built into the blind ends of residential buildings. After all, it is known that the area under the blind ends of 5-9-storey residential buildings do not find their high-quality use and very often create unfavorable, to some extent criminally dangerous sections of the city. According to the latest statistics of criminology, most of the crimes committed in the city occur in areas with blind ends of residential buildings. The height and total area of the vertical trusses will depend on the height of the residential buildings and on the overall aesthetic design of the spatial organization of the environment. The competitive advantage of the developed modular cell is the versatility of its application, mobility, as well as the interdisciplinary basis of the combined areas-architecture, design, agriculture, healthcare, construction, etc.The expected result is the qualitative development of urban farming, which can become a new market niche for the production of organic products. Urban farming can become new jobs for the residents of the houses in which vertical farms are built. And also, one of the directions in solving the problems of creating conditions for the growth of the well-being of the people and the health of the younger generation.
Innovation in the platform of the Distance Education System in the Academic Division of Economic-Administrative Sciences of the Universidad Juárez Autónoma De Tabasco
Authors: Et. al. Cristian Guadalupe Culebro Estrada,
Published: January 2024

The results of the analysis carried out on the platform of the distance modality of the bachelor's degree in marketing of the Universidad Juárez Autónoma de Tabasco are shown, in order to identify the innovation opportunities presented by the platform of the distance education system, for what which was carried out an investigation focused on the students who use this technological tool; Applying surveys to the students of the degree in marketing and analyzing the results obtained, it is concluded that the design of the page can be improved in order to make it more accessible to higher education students.
Rethinking the Implementation of Part, Whole and Imagery Learning Methods: Comparison Analysis in Basketball Games
Authors: Et. al. Abdul Rachman Syam Tuasikal,
Published: January 2024

This study aimed to describe the comparison analysis of part, whole, and imagery learning method in basketball games. The whole section method is generally used by an educator to teach a form of movement skills that is quite difficult or complex. This method is very helpful for Physical Education Sports and Health (PJOK) teachers in carrying out teaching and learning processes specially to help students who have difficulty learning a series of movements that are just known and have a high degree of difficulty. To anticipate the complexity and diversity of the movements, it is necessary to make a kind of simplification in advance of the movements to be learned into parts so that they are easily understood and learned by students. This approach will be good (effective) if the parts per part of the movement studied are understood or mastered first then combined into a whole movement, but on the contrary it becomes ineffective if students directly learn the movement in a whole direction. The overall learning method is a form of learning skills that are carried out in full from the skills learned, this is the opposite of the parts-by-part method because in this learning method physical education educators from the beginning of the students have been directed to carry out the desired motion activities and generally the motion activities this is easy for students to do. This study used 37 students, the findings of the research conducted were that predicting the future using the method of imagination is highly dependent on student abilities and characteristics of motor skills.
Military Skill And Training In Soldier’s Bravery
Authors: Et. al. Obsatar Sinaga,
Published: January 2024

The Malaysian Armed Forces is responsible for producing hundreds of thousands of trained military personnel. This is because the Malaysian Armed Forces has carried out various military exercises to expose the role of its personnel and provide awareness of the importance of military service in the context of national defense and security. Bravery is a leading to matters related to a mentally and physically strong fighting spirit despite facing high risks. Then, bravery is one of the most important qualities that should have among the soldier personnel. The need to manage training efficiently and effectively is a challenge that needs to be managed and addressed properly, systematically and systematically. Technological advances that are constantly changing with the current circulation require a system of training that is effective enough to help the Government produce personnel that are feared by the enemy. The objective of this study is to determine the relationship of the military skill and military training with the soldier bravery among Malaysian Armed Forces in IJED, Port Dickson, KDSI, Lumut Perak and KTU, Alor Setar Kedah. Quantitative research methods of the correlational research design were conducted using questionnaires with 249 respondents from the Malaysian Armed Forces using the Statistical Package for the Social Sciences 25.0 and Smart PLS 3.3.2. The results showed that there is a relationship between the military skill and military training with the soldier bravery. The findings confirmed that military skill and military training does act as an important determinant in the relationship of soldier’s bravery. The organization should define military skill and military training for training programs and specify components or outcomes to target in order to better understand soldier’s bravery. This study confirmed that the ability of commanding officers to conduct training appropriately military mind elements military skill and military training has increased their soldier’s bravery in operations.
The Effectiveness Of Working While Studying For Military’s Cadets
Authors: Et. al. Mohd Haizam Saudi,
Published: January 2024

This study was conducted to study the relationship between time management, self management, physiological needs and trainers on the effectiveness of military training while studying among cadet officers at National Defence University Malaysia  (NDUM). The analysis used in this study is a quantitative analysis that uses descriptive data collected from questionnaires. A total of 250 respondents consisting of year two of Bachelor Cadet Officers were selected for this study. Data analysis method employed is Statistical Package for Social Science (SPSS) Version 22.0. Descriptive analysis was used to analyze the frequency, percentage and mean used while Pearson Correlation analysis and Linear Regression were used to test the independent and dependent variables formed. The findings of the study asserted  a positive relationship to all independent variables namely time management, self management, physiological needs and trainers on the effectiveness of training while learning. In a nutshell, it was found that time-management needs are the most dominant factor on the effectiveness of military training while studying among Cadet Officers at National Defence University Malaysia  (NDUM).
Prevalence Truancy is Associated with Attitude, Family and School Environment Factors
Authors: Et. al. Mohd Haizam Saudi,
Published: January 2024

Truancy is a major issue that often plagues a country's education system. This phenomenon is also the highest contributor to student misconduct cases, especially in Malaysia. The purpose of this study is to identify the relationship between three main factors, namely student attitudes, family relationships and school environment in influencing truancy among students. A total of 148 students consisting of upper secondary school students in an east coast secondary school in Peninsular Malaysia was selected as respondents in this study. The results of this analysis process show that factors such as student attitudes, family relationships and school environment have a significant relationship with truancy among students. Schools in particular and the ministry in general should make these factors the main agenda in formulating programs and activities to curb this issue from continuing to plague the national education system. In fact, the role of parents is no exception in efforts to curb these symptoms from continuing to occur among students at school.
Analysis Of Factors Influencing The Sustainability Report Disclosure (Case Study Of Mining-Sector-Companies-Listed-In-Indonesia-Stock Exchange From 2015 To 2019)
Authors: Et. al. Anissa Rizkia Saepudin,
Published: January 2024

This study aims to analyze factors of the sustainability report disclosure. The independent variables were Board Commissioners Size, Proportion of Independent Commissioner, Managerial Capital Ownership, Firm Size, and Profitability. The dependent variable is the Sustainability Report. The population in this study was the mining sector listed in Indonesia Stock Exchange in the period 2015 - 2019. Based on the purposive sampling method, 6 companies published sustainability reports consistently. This study analyzes the company's annual reports and sustainability reports. The analysis techniques for this research were panel data regression methods. The results of this study revealed that the Board Commissioner Size, Proportion of Independent Commissioner, Managerial Capital Ownership, and Profitability did not significantly affect the sustainability report disclosure. While the variable of firm size had a significant effect on the disclosure of sustainability reports
Does the Implementation of Corporate Social Responsibility Have An Effect toward Profitability?
Authors: Et. al. Debbie Christine,
Published: January 2024

This study aims to find out how and how the Implementation of Corporate Social Responsibility (CSR) on Profitability (ROA) on Large Trading Sub Sector Companies listed in Indonesia Stock Exchange Period 2014-2016. The background of this research, there are several companies experiencing loss and decrease of profitability (ROA) during year 2014-2016. Research taking samples with non probability sampling, while the technique used is purposive sampling. This research is explanatory research with type of  investigation are descriptive and verification. The analysis data used simple linear regression and processed using software Eviews 8 program. The result of research indicate that Corporate Responsibility research on profitability of large trading sub sector companies of production goods listed in Indonesia Stock Exchange in 2014-2016.
"Aisatsu" in Japanese Language Education
Authors: Et. al. Uning Kuraesin,
Published: January 2024

In Japanese society the aisatsu culture is very important. This is done with the aim of establishing a good relationship between humans. Through Aisatsu, communication will be fostered, so that social relations with others, both in a personal environment and in work relationships will be well established.In this paper, the author tries to see as an early study the use of aisatsu in communication in a formal environment. Formal aisatsu is commonly used in campus life from a learner to his teacher, or in subordinate-superior relationships in a work environment.Aisatsu in Japanese, not only serves as an ordinary greeting in everyday life, but in a higher context, such as communication in business, aisatsu can be used as a tool in running its business. By doing aisatsu, there are many meanings contained in it, both as an expression of praise, respect, encouragement, ect.In this paper, the author tries to describe the ways in which some aisatsu are used in Japanese and the discrepancies that often arise in Japanese learners. Such as the use of aisatsu, 「お は よ う ご ざ い ま す」 「こ ん に ち は」 「お め で と うご ざ い ま す」, etc. In the context of communication, the use of aisatsu is highly influenced by culture. Thus, the use of aisatsu in formal situations is not appropriate to use.
Branch And Bound Algorithm Analysis For Solving Job Assignment Problems
Authors: Et. al. Sriyani Violina,
Published: January 2024

The Branch & Bound algorithm is a method commonly used to solve optimization problems. Some examples of problems that the Branch & Bound algorithm can solve are Knapsack Problems, Traveling Salesman Problems, Scheduling Problems and many other optimization problems. Job Assignment Problem is one of the optimization problems of how to do n people doing n jobs where one person does one job. This paper will analyze the Branch and Bound Algorithm in solving Job Assignments Problem.