bluuebunny/crossref_metadata_2025_split huggingface dataset:
To Improve A Performance of Induction Motor Using PBO-ANFIS
Authors: Kumar Bindal Ranjit , Kaur Inderpreet 
Published: July 2024

The performance of intelligent control Adaptive Neuro Fuzzy Inferences system (ANFIS) with Pollination based optimization (PBO) is presented for the speed and torque control of an induction motor using direct torque control in detail. Here a DTC method is being presented and analyzed. This technique consists of a neural network controller, pollination based optimization, a reference model, and an algorithmÂ Â for changing the ANFIS weights altogether to limit the speed of the ac machine. A PBO-ANFIS gives better speed control, dynamic behaviour and superior characteristics of the three-phase ac motor with DTC. In this paper, the conventional controller technique is replaced by PBO-ANFIS controller. The proposed technique is compared with the conventional technique and from the comparative studyÂ it is seen that the rise time is reduced from 260ms to 1.266ms, settling time is reduced by 725ms to 12.76ms and transient time is reduced by 520ms to 10.99ms times and torque ripples are reduced by 6%.Â Â
Loss Analysis of High Frequency Transformers on a 3kW-Class DC-DC Converter using the Co-Simulation of Circuit and electromagnetic field analysis
Authors: Park Young-un , Oh Seung-yeol , Park Je-suk , Kim Dae-kyong 
Published: July 2024

Background/Objectives: This study examined the loss analysis of a high frequency transformer using the thermal-electromagnetic coupled 3D-FEA considering practical converter circuit to improve the more accurate temperature analysis.Methods/Statistical analysis: The circuit used is a 3kW-class DC-DC converter. The circuit used was a 3kW-class DC-DC converter. FEA was used to analyze the electromagnetic field. The FEA modeling is based on the practical converter circuit and the measured current waveform.Findings: Thermal-electromagnetic coupled analysis was carried out to compare the results of the experiment and FEA models. The transformer flux density and thermal analysis of the stationary state was less than 0.38[T] and 35 [â„ƒ].Improvements/Applications: Most thermal studies for high frequency transformers are analytical and thermal equivalent circuit models. Therefore, thermal-electromagnetic coupled 3D-finite element analysis (FEA) considering the practical frequency excitations is required.Â Â
Application of a Hybrid Approach Using PCA based TOPSIS Method for Multi Objective Optimization of EDM Process Parameters During Machining of H11 Die Steel Using P/M Processed Metal Matrix Composite
Authors: Pallavi Senapati N. , Tripathy S. 
Published: July 2024

Metal matrix composites (MMC) are found to have many applications in the space and aviation industries. This paper presents the details of a comparative study made on the machinability of H11 die steel by electric discharge machining (EDM) process using copper and powder metallurgy (P/M) processed Cu-Cr MMC as the tool.Â Taguchi method was used for the experimental design and experiments were conducted using L9 orthogonal array for each tool. The present work investigates the influence of machining parameters such as peak current (Ip), pulse on time (Ton), duty cycle (DC) and gap voltage (Vg) on material removal rate (MRR), tool wear rate (TWR), diametral overcut (DOC) and surface roughness (SR). Cu-Cr composite tool demonstrates better performance than copper tool.Â Multi-objective optimization was performed using a combination of principal component analysis (PCA) with technique for order of preference by similarity to ideal solution (TOPSIS) to achieve the optimum parameter setting for copper and Cu-Cr tool. The optimal results obtained for copper tool was at Ip=3A, Ton=150Âµs, DC=80%, Vg=40V and for Cu-Cr tool was at Ip=3A, Ton=200Âµs, DC=90%, Vg=50V.Â Â
Metamaterial Transmission Line-for Designing a Microstrip Patch Antenna
Authors: Kr Kaushik Awanish , Kumar Anubhav , L. Yadava R 
Published: July 2024

In this paper, the fundamental properties, limit and structure of metamaterial express that the "meta-transmission line (meta-TL) is utilized for solace implies metamaterial transmission lines are reasonably homogenous structures, which have properties that don't appear in regular transmission lines. It intertwines all the transmission line structures which have interesting properties not existing in ordinary RH-TL, for instance, LH TL, CRLH TL, SRR \CSRR-stacked TL and further. As diverged from various materials, the Metamaterials are counterfeit metallic structures having meanwhile negative permittivity (É›) and vulnerability (Î¼), which prompts negative refractive summary. No other mate-rial on the planet demonstrates the above properties like Metamaterial. Because of these irregular properties Metamaterial can change the electric and attractive property of electromagnetic wave encountering it and in light of these reasons when Metamaterial is utilized as a bit of the make of microwave areas and radio wires the required properties can be refreshed.Â Â Â
A Model forSuccess of an International Joint Venture in India: Validated through Analytic Hierarchy Process
Authors: Kumar Pandey Mayank , Singh Dileep , Kaushik Rohit , Vats Ruchika 
Published: July 2024

Worldwide business pattern has opened innovative ways of agreements for those who want to take advantage of the fruits of free flow of resources beyond national boundaries. International joint venture (IJV) is one of several such strategic moves. This research targets at discovering various factors of international joint ventures as a strategic alliance, the requirement for such alliance and the consequences. Success of an IJV is driven by IJV partnersâ€™ ability to make collaboration by joining integral strengths. To examine the synergy created from various complementary strengths in the context of IJVs formed between established market firms and Indian firms in India. This is a conceptual paper where a universal model is proposed to show, how synergy can be created through complementary strengths of Indian company and foreign company in success of an IJV. This paper exhibits the use of analytic hierarchy process (AHP) and ranks the synergy. Further, it has been depicted that various strategies like increased competitiveness, deterring the global competitors, risks diversification, technology transfer, leveraging the financial regulations and customer value proposition can be adopted to derive high to low synergy.Â Â
Leadership Decision-Making Styles and Managerial Practices in Organizational Excellence from the Case of Ramayana
Authors: S Chandramouli Mr. , C.Madhavi Dr. 
Published: July 2024

Wealth and happiness of a nation depends on the efficiency and effectiveness of the economic activities of the economic units of all sizes and microeconomic objectives. Scholars from the West and the East have long suggested ways to improve the efficiency and effectiveness of an organization. It is unanimously agreed by all scholars that leadership of the organization plays a critical role besides better management practices in determining the efficiency of all the human resources and thereby the other resources and ultimately that of the whole organization. Also it has been widely believed in India that works such as the Mahabharata and Ramayanaa, as a single big case themselves, deals with many problems of various types and prescribes guidelines thereof. It is also generally believed that the case method of teaching and learning was pioneered by the Harvard Law School and popularized by the Harvard Business School. However it is common knowledge in India that Ramayanaa and Mahabharata, Panchatantra, etc has pioneered the case method of teaching and learning thousands of years before the recent rediscovery of the case method. This paper attempts to analyze only a part or module of the case of Ramayanaa for its varied implications (including legal issues, succession issues, conflicts, manipulation by the top-management, etc.) prescribing leaders and managers for their organizational excellence inÂ the modern times. These implications seem to be not only consistent with the modern concepts but also very relevant even today!Â Â
A Study of Connected Vehicle for Vehicle Maintenance
Authors: Yogarayan Sumendra , Azman Afizan , Fatimah Abdul Razak Siti , Jai Raman Kirbana , Fikri Azli Abdullah Mohd , Zainab Ibrahim Siti , Sonai Muthu Kalaiarasi 
Published: July 2024

Connected Vehicle Maintenance System is a system that is developed to assist car owners from facing problems especially when there is a vehicle breakdown. Vehicles in Malaysia do not have any available platform system that can provide assistance, diagnostic and telematics services to car owners. As vehicles are connected with various components of vehicle control unit, huge number of data are generated. Gathering this data has become a part of the connected vehicle research scope. However, car owners do not understand raw vehicle data unless their vehicles are brought to a service center. Thus, enabling in-vehicle system to interpret and monitor this data is an advancement of technology and provides a convenient driving environment for car owners.Â Â
Alternative Platform for Vision based Robot Navigation
Authors: A. Peiris Himashi , G. Ranasinghe Rajitha , D. Peiris Tharindu 
Published: July 2024

Robots are closer than ever to leap from the defined world navigation to the undefined world navigation. For that it is crucial to have flexible and alternative platforms to enhance mobile self-made robots to the next level. In this project a vision based navigation robot is developed using Microsoft Windows based software as an alternative to most common Linux based Robot Operating System (ROS). Currently almost all self-made robots with advanced functionalities use the ROS. But what lacks in Linux based system is flexibility for beginners. Developing a mobile robot based on Windows platform was not possible few years ago, but with the development of Single Board Computers (SBC), now finally it is possible to mobilize the windows. Itâ€™s a marriage between windows flexibility to robotic mobility. The final result of this research is an autonomous robot which is able to navigate through the environment by avoiding obstacles in a dynamic environment using 3D vision.Â Solution comprises occupancy grid generation by using depth image of Kinect as main input feed combined with data gathered by an Inertial Measurement Unit (IMU). Data then further processed real-time to identify current position of the robot. Also, by using Fuzzy Logic approach, dynamic obstacle avoidance and navigation is achieved. Entire application was developed by LabVIEW and it is installed inside LattePanda single board computer. LattePanda is playing a crucial role here as the central processing unit for all the functions. The robot is developed as a first step for a flexible test platform which can be further improved to achieve flawless undefined environment navigation through tweaking algorithms and introducing more sensory data.Â
Evaluation of Deep Convolutional Neural Network Architectures for Strawberry Quality Inspection
Authors: Sustika Rika , Subekti Agus , F. Pardede Hilman , Suryawati Endang , Mahendra Oka , Yuwana Sandra 
Published: July 2024

Fruits quality inspection is important task on agriculture industry. Automated inspection using machine and vision technology have been widely used for increasing accuracy and decreasing working cost. Convolutional Neural Network (CNN) is a type of deep learning that had a great success in large scale image and video recognition. In this research, we investigate the effect of different deep convolutional neural network architectures on its accuracy in strawberry grading system (quality inspection). We evaluate different types of existing deep CNN architectures such as AlexNet, MobileNet, GoogLeNet, VGGNet, and Xception, and we compare them with two layers CNN architecture as our baseline. Here, we have done two experiments, the first is two classes strawberry classification and the second is four classes strawberry classification. Results show that VGGNet achieves the best accuracy, while GoogLeNet achieves the most computational efficient architecture. The results are consistent on both two classes classification and four classes classification.Â Â
Hardware Platform Design Analysis of K-Means Clustering Algorithm Implementation
Authors: Wahyu Wibowo Ferry , . Sudarmawan , Sulistiyono Mulia 
Published: July 2024

The K-Means clustering algorithm is an unsupervised data mining technique and it has also been used widely to solve the problem in real life. This paper addresses a design analysis of the algorithm of K-Means that is implemented in the field programmable gate arrays (FPGAs). These devices are integrated circuits and have a hardware platform and applied in many implementations. The K-Means clustering algorithm has a simple method that is choosing objects from data to become the center point or centroid and then assign each object to the cluster which is nearest and update the cluster means. The approach of the software can also be implemented in the hardware, but both of them have a different method in programming.Â Â Â
Optimization of Permanent Magnet Machines using Analytical Sub-Domain Model and Differential Evolution Algorithm
Authors: Rezal M. , Ishak Dahaman , Syahirah Abdul Sani Nur 
Published: July 2024

This paper presents an optimization of permanent magnet synchronous machines (PMSMs) using Analytical Sub-domain Model together with Differential Evolution Algorithm (ASDEA). A three-phase, 6-slot/4-pole, surface-mounted PMSM is selected in the design with initial motor parameters which are determined from the sizing equations. Five motor parameters are to be optimized i.e. magnet thickness, airgap length, slot-opening width, magnet arc, and stator inner radius. Four objective functions are chosen i.e. to have lowest total harmonic distortions in the induced back-emf, lowest cogging torque, highest output torque and highest efficiency. Results show a good agreement between the analytical method and finite element analysis (FEA). The optimization of 6-slot/4-pole PMSM is further analyzed by comparing with other optimization algorithms i.e. Analytical Sub-domain with Genetic Algorithm (ASGA), and Analytical Sub-domain with Particle Swarm Optimization (ASPSO). It is observed that ASPSO has the fastest computing time compared to ASGA and ASDEA. Whereas ASDEA is approximately 50% faster than ASGA. The design work for PMSMs can potentially become faster without compromising the accuracy. While repetitive changes in motor parameters in finite element modeling could be avoided after applying this Analytical Sub-domain with Differential Evolution Algorithm.Â Â Â
Parametric Study on Dynamic Instability of Fully Anisotropic Composite Plates
Authors: Yusof Z. , A. Rasid Z. , Z. Hassan M. , Mahmud J. , Yahaya H. 
Published: July 2024

Laminated fibre reinforced composite can be subjected to periodic loading that can cause parametric instability in structures. This paper is to report on the parametric instability analysis of unsymmetric laminated composite plate. Using finite element method, the Mathieu-Hill equation that describes the parametric instability behavior of composite plate was derived based on the higher order shear deformation theory of composite and the equation was solved using the Bolotinâ€™s method. Compared to similar symmetric composite, the anisotropic nature of the composite has caused the composite to be more unstable by shifting the instability region to the left while narrowing the region at the same time. However, the effects of parameters such as the orientation angle and the aspect ratio are similar to the effect of the same parameters on the parametric instability of symmetric composites.Â Â
Prediction Modeling of Software Startup Success By PLS-SEM Approach
Authors: Asmoro Anung , Edi Nugroho Lukito , . Selo 
Published: July 2024

With the fact that the tendency of startup business fail, it is necessary to understand factor influencing the startup success. It is understood that the lack of knowledge of how to start business creates uncertainty. The uncertainty may increase the likelihood ofÂ startup failure, which leads to economic loss. This paper aims to develop a predictive model of startup success in identifying factors and variables influencing startup success. This study also explores ways to compile and validate predefined startup prediction models in the startup business environment. Furthermore, the significance of factors and variables have also been identified to predict software startup success. The results showed that there were 18 significant factors influencing software startup success. These include the characteristics of the founders, quality of the startup organizations, support of resources, environmental conditions, performance of value creation processes, andÂ effectiveness of competitive strategies. The result also showed that six variables contributed significantly (74.8%) in the prediction of software startup success.Â Â Â
Software Development Team Competencies to Support Software Development Project Success
Authors: Fabrianti Kusumasari Tien , Riyanto Trilaksono Bambang , Nur Aisha Atya , . Fitria 
Published: July 2024

Software development projects have relatively low success rates compared to other projects. One of the causes is human factors, lack of competence from the development team. The competency of the existing development team cannot meet project needs. Therefore, this research has analyzed the list of competencies that have an important role in the software development team. The list of competencies analyzed was obtained from the results of the literature review and evaluations from 17 practitioners in software development. From the literature review, 57 competency elements were obtained in the context of software developers, which will be further evaluated. Based on the evaluation of the importance level and frequency from practitioners that mapped in the importance-frequency matrix, 24 competency elements include as a top priority (in maintaining or include (MI) quadrant) and 7 competency elements in possibly included (PI) quadrants. The results of this study are expected to be a reference for composing the right composition of the development team to achieve the success of the software development project.Â Â
Strategic Plan Using Tsukamoto Fuzzy Model and VRIO THES Approaches
Authors: Wahyu Wibowo Ferry , Indartono Setyabudi , . Sudiyatno 
Published: July 2024

The advantage competitive is always being an issue to improve the capability of the institution even the higher education. So higher education needs to evaluate its capabilities in facing this issue so the higher education could determine its strategic plan. This paper aims at applying the Tsukamoto method in fuzzy logic to measure the implementation of a strategic plan that combined with the valuable, rareness, inimitability, and Organize (VRIO). The VRIO is an approaching that is capable to describe the competitive advantage significantly and the strategic plan in Times Higher Education Supplement (THES) is to obtain the ranking of the universities. The combination among fuzzy, VRIO framework, and THES is making a new concept in evaluating and arranging the strategic plan, especially in the university.Â Â
The State of Collaborative 3D Content Authoring: A Review
Authors: Timanta Tarigan Jos , Salim Sitompul Opim , Budhiarti Nababan Erna 
Published: July 2024

Computer supported cooperative work (CSCW) is one of the key factors to increase companyâ€™s productivity. Hence, there are numerous researches trying to increase the efficiency of CSCW implementation to achieve a better collaboration between employees. The recent trend of using 3D content demand industry to develop an efficient and effective workflow to create numerous high-quality 3D content. Hence, implementing CSCW in 3D content authoring is a crucial factor in related industry such as game and movie industry. In this paper, we investigate the state of collaborative work in 3D content authoring. We focus our observation in CSCW features currently available 3D content authoring application and game engines. Additionally, we observe recent researches related to developing CSCW application in 3D authoring. The objective of this research is to give a thorough view regarding the state of CSCW in 3D content authoring industry and the possibility of future research and development.Â Â
The Wide Range of Regression Analysis in Distance Estimation System of the Fingerprint-Based Outdoor Wireless Access Point Localization System
Authors: . Sutiyo , Hidayat Risanuri , Wayan Mustika I. , . Sunarno 
Published: July 2024

The development of utilization of outdoor wireless access point devices has progressed very rapidly. Mitigation and control of the use of the frequency spectrum are very important to do so that the use of the frequency spectrum can run in accordance with government regulations. This cannot be separated from the technique of localizing the use of wireless devices. There are various localization techniques with various methods and levels of accuracy but generally, these techniques are applied indoors. Localization techniques are generally used to find the location of wireless users, not to search for access point localization. In this paper the distance estimation system from the fingerprint-based outdoor wireless access point localization system is discussed, and wireless devices working in 2.4 GHz. The distance estimation system uses regression method, and this paper aims to prove that 3rd order regression polynomial is the right regression model used for the fingerprint-based wireless access point localization. Previously this technique was applied at a distance of 0-100 meters, so this paper confirms this technique is applied at a distance of 0-1000 meters. The fingerprint is carried out in the range of 0 to 1000 meters and is divided into eleven measurement points. DataPoint consists of received signal strength (RSSfnd) and the distance of the finder to an access point that is being targeted (Dfnd). DataPoint from the fingerprinting process is analyzed by regression method and based on the results of the trendline and R2 shows that in the range of 0-1000 meters the regression method that is right to use for distance estimation system is the 3rd order polynomial regression.Â Â
Analysis of Web Server Logs to Understand Internet User Behavior and Develop Digital Marketing Strategies
Authors: Mowla Saleh , P. Shetty Nisha 
Published: July 2024

With the advancement of technology and widespread availability of information through the internet and the World Wide Web, it has become possible for small-scale industries to convert and expand themselves by increasing awareness and exposure of their businesses. One of the most popular and easiest way to increase a customer base is by creating websites and thus engaging with customers online. However, with the increase in the number of websites and other available source of advertisements, it has become a need to design websites in a way that keeps the customers and viewers engaged and interested so that they return with positive expectations. One way of analyzing website popularity and online customer behavior is by analyzing web server logs with the help of web usage mining techniques to find unknown patterns and generate insights about different aspects of the website. The paper discusses a live scenario where logs of a blogging website have been mined and analyzed to better improve the structure of the site as well as understand the behavior of the viewers who have visited the site. The paper also provides recommendations on improving the structure of the website to adopt effective digital marketing strategies.Â Â Â