bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study on Business Implications Due to Automation in Indian Seafood Industry with Specific Reference to the Frozen Sector
Authors: V. Vikas P. , M.K.Badrinarayanan Dr.
Published: July 2024

The global demand for Indian seafood has been rising over the years. Marine product export figures have hit an all time high in terms of both, value and volume. The exports during the year amount up to 11,34,948 megaton values at INR 37870.90 crores, which is approximately USD 6 billion. There are more than 300 frozen seafood processing plants in the country. Some products exported are meant for the retail market and for direct consumer market, however, most of it is meant for reprocessing. This is because most of the technology and machinery used in Indian processing plants are traditional and some processing methods have become outdated. However, exporters are slowly moving towards newer technologies and processing styles in their factories. Value addition is being considered seriously by many seafood exporters. Value added products like IQF, breaded shrimps, marinated seafood, cooked products are now processed in some factories. Even packaging of Indian seafood has undergone many changes like vacuum packing, shrink packaging. Freezing is usually done by ammonia gas, this is now gradually being replaced by a less riskier neon gas in many processing plants. Advanced metal detection systems, highly sensitive water proof weighing scales and palletized automatic operated cold store are some other advancements seen in the recent years. Despite, efforts from various exporters, implementation of all these advancements can be done in large scale only with the help of the government, since such upgradation will incur a lot of investment. With support from various financial institutions, technical help from various government agencies and with the determined perseverance of the exporters, Indian seafood industry can enrich its processing technologies with the latest technology and advanced machinery making it reach great heights globally. This study presents the business implications of automation in the frozen food sector. It also presents the policy implications for implementing automation on a mass scale in the frozen seafood sector.Â Â
Performance Analysis of Misuse Attack Data using Data Mining Classifiers
Authors: Anitha Patil Dr. , Srikanth Yadav M
Published: July 2024

Data mining can be characterized as the extraction of certain, already un-known, and conceivably valuable data from information. Various analysts have been creating security innovation and investigating new techniques to recognize digital assaults with the DARPA 1998 dataset for Intrusion Detection and adjusted renditions of this dataset KDDCup99 and NSL-KDD, yet as of not long ago nobody have inspected the execution of Top information mining calculations chose by specialists in information mining. The execution of these calculations are contrasted and precision, blunder rate and normal cost on changed renditions of NSL-KDD prepare and test dataset where the occasions are ordered into typical and four digital assault classes: DoS, Probing, R2L and U2R. Furthermore, the most vital highlights to identify digital assaults in all classifications and in every classification are assessed with Weka's Attribute Evaluator and positioned by Information Gain. The goal of this paper is to estimate the performance of classification models like logistic regression, artificial neural networks and support vector machines for predicting intrusions and these techniques are examined to improve the accuracy and performance of these models on KDDCUP dataset. The predictive models are developed using 42 input variable and 23 output variables from the attack set. We examined these data mining models in terms of their accuracy, sensitivity, specificity and FAR.Â  The regression model achieved an accuracy of 99.62%, sensitivity is 99.01%, and specificity is 92.18% with a FAR of 7.82. The Multilayer perceptron (ANN) model achieved an accuracy of 99.62%, sensitivity is 99.01%, and specificity is 91.03% with a FAR of 8.97. The last model Support vector machine model achieved an accuracy of 99.62%, sensitivity is 99.01%, and specificity is 88.00% with a FAR of 12.00. The logical regression model had the better false alarm, sensitivity and specificity, followed by the Multilayer perceptron model and the support vector machine model. The most imperative highlights to distinguish digital assaults are essential highlights, for example, the quantity of seconds of a system association, the convention utilized for the association, the system benefit utilized, ordinary or mistake status of the association and the quantity of information bytes sent. The most vital highlights to distinguish DoS, Probing and R2L assaults are essential highlights and the minimum critical highlights are content highlights. Dissimilar to U2R assaults, where the substance highlights are the most imperative highlights to identify assaults.Â Â
An Image Encryption Algorithm Based on a Novel Five-Dimensional Hyper- Chaotic System
Authors: A. Mehdi Sadiq , M. jasim Zynab
Published: July 2024

According to the fast growth of the Internet and communications networks, you must protect the secrecy of digital images sent over public networks. In recent times, researchers have developed ways to chaotic systems based image encryption. Specific characteristics of the disorder systems, such as dependence on initial conditions sensitivity, pseudorandom, ergodicity and system parameters, chaotic dynamics systems became as a promising alternative to traditional encryption algorithms. In this work, A fresh algorithm is presented to encrypt images depend onÂ  a novel five dimensional hyper-chaotic system to achieve High level of security, the chaotic sequence generated from system employ for permutation the original image to create a cipher image. The security of presented encryption algorithm evaluated by much security analysis such as Histogram Analysis, Correlation Coefficient Analysis, Information Entropy Analysis, Key Space Analysis, Key Sensitivity Analysis, Number of Pixels Change Rate (NPCR), Unified Average Changing Intensity (UACI), Peak Signal to Noise Ratio , The experimental results demonstrate that the algorithm has good encryption effect, large key space equals to 10182and high sensitivity to a tiny change in secret key for decrypted images ,therefore, the presented encryption algorithm depend on a novel hyper- chaotic system is more secure against the statistical and deferential attacks.Â Â
Segmentation the Tumor from the Brain Depending on the Colour
Authors: Hasan Dakheel Awfa , . .
Published: July 2024

The objective of this study is to present a method that aids in the diagnosis of abnormality in brain due to tumors from MRI brain image whereby segmenting the brain tumor is done by using a novel algorithm that depends on the colour of the 2D image. Therefore, this work consists of three main stages, the first one is loading image into memory, and then the segmentation algorithm is applied. Finally, in order to obliterate the noise object, the 2D median algorithm is conducted. After applying the method the results which are obtained show better output to determine the tumor, simultaneously the diameter of the tumor can be calculated.Â
Study the Possibility of Recycling Damaged Thermostone in Thermostone Najaf Plant
Authors: Razzaq Hasan Ammar , Hussein Hamzah Khaldoon
Published: July 2024

Research include the possibility of benefiting from a damaged thermostone and output from several sources, including manufacturing and damaged operations during transportation and the user to measure the durability other from other sources as substitutes for Raw Materials involved in thermostone industry while maintaining the quality of the product and its properties and thus reducing the raw materials consumed in production processes where it was noted that the compensation of 15% of each of sand and cement. Thermostone mix give the results of the power of good bear while maintaining on its properties and that the compensation cement results were better than the compensation sand and therefore can benefit from a damaged Thermostone in recycling.Â Â
A Security Paradigm for IoT
Authors: Anurag Urla Priyanka , N Pai Smitha , Mohan Girish
Published: July 2024

Current technology is offering lot of services at the finger tips. IoT is becoming a part of daily life without us being actually aware of the vulnerability to attacks. In this paper issues with choice of security algorithm is discussed. A secure computational approach is designed to overcome the issues with security.Â Â
The Economy of Communion (EoC) as a New Ideal Economy
Authors: Chun Se-Hak
Published: July 2024

The Economy of Communion (EoC) is a business paradigm that has been developed from the praxis of the Focolare Movement to reduce poverty and to disseminate the culture of giving. The EoC business commits to allocating up to two thirds of their profits for the help of people in need. In this regard, this movement is a new market economy philosophy between Marxism and Capitalism. This paper overviews the EoC from the economic perspective, and discusses the sustainability of the EoC business model and introduces cases of the EoC firms.Â Â
Comprehensive Study on Ensemble Classification for Medical Applications
Authors: Rosly Rosaida , Makhtar Mokhairi , Khalid Awang Mohd , Isa Awang Mohd , Nordin Abdul Rahman Mohd , Mahdin Hairulnizam
Published: July 2024

The aims of this paper were to provide a comprehensive review of classification techniques and their alternative approaches in data mining. Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and analyses. It is one of the several methods intended to make the analysis of very large datasets effective. The goal of classification is to accurately predict the target class for each case in the data. One of the classification approaches is the ensemble method. In recent years, the usage of ensemble method in medical application has been increasing. Not only in medical areas, it can also help researchers to solve modem problems in many fields like machine learning, data mining, and other related areas.Â Â
The Continuance Usage Of Physical Activity Tracking Technology With Social Media: Connecting The Dots For Singapore
Authors: Wanichavorapong Nittee , Razak Che Hussin Ab , Fadhil Yusof Ahmad , Mohamed Dahlan Halina
Published: July 2024

Physical activity (PA) tracking technology can assist individual in monitoring physical activities in eHealth while gaining popularity and enjoying a flourishing market. Social media (SM) offers huge advantages to PA tracking technology (PATT). Yet, the continuance usage is the cornerstone of IT goods and services; otherwise failed. The limited knowledge of IS continuance in PATT-SM is the motive. Our purpose is to analyze the factors that drive users to continue using PATT-SM. This study demonstrated the use of expectation confirmation model (ECM) and value factors to predict CI in a variety of perspectives including social, economics, behavior, and cognitive. Through data collection, a survey method was conducted in Singapore (n=201). The proposed model has been assessed for reliability and validity. The PLS-SEM method was used to investigate the cause-effect relationship between the constructs in a multi-linear regression style. The results exhibited that the all constructs of ECM constructs had a statistically significant impact on continuance intention (CI); in addition, usefulness has an impact on CI. However, perceived influence had rather a negative impact on CI. Social value received no significant association with CI. Then, network size and complementarity had also positive and statistical significance on perceived influence whereas complementarity yielded less impact.Â
Development and Verification of Fire Service Area Re-division and Fire Fighter Deployment Methodologies using Census Spatial Data
Authors: Lee Ji-Soo , Lee Oon-Ha , Seo Hyun-cheol , Hong Won-Hwa
Published: July 2024

The South Korean fire service force deployment criteria have insufficient considerations compared to the US, the UK, and Japan, and even when compared with OECD countries, the national criteria for fire service forces should be improved. In particular, the criteria for division of fire service areas are concentrated on administrative districts so that the response times of actual front line fire houses cannot but be much different among regions. In addition, since the numbers of residents under each fire fighter's charge show larger differences among lower organizations, technical methodologies to respond to such differences should be urgently developed. Therefore, in this study, fire service areas were redivided based on accessibility utilizing census polygon data andÂ  fire fighters were reorganized using the population attribute information embedded in the data. The methodology presented in this study was applied to the target area to quantitatively evaluate the degrees to which the differences in the numbers of residents under one fire fighter's charge and the accessibility were improved.Â
Extraction And Characterization Of Policosanol From Wheat Germ
Authors: Srisaipet Anakhaorn , Keawprom Pitchaporn
Published: July 2024

Policosanol is a mixture of long chain alcohols, with chain lengths varying between 20 to 36 carbon atoms that has been proven to be effective in lowering cholesterol levels in the body. The objective of this research is extraction the policosanol from wheat germ and characterization of the alcohol. The dried milled wheat germ was hydrolyzed by refluxing with 1.0 N methanolic NaOH at 80 Â°c for 45 minutes. The product hydrolyzed are consists of long chain alcohol (policosanol) and free fatty acid. The purification of hydrolyzed products was performed by extraction with dichloromethane twice follow by pH adjustment to 7 using 6 N hydrochloric acid thereby the purity of policosanol was confirmed by TLC. The aliphatic long chain alcohols composition in policosanol were establish in 18-34 carbon atoms analyzed by gas chromatographic technique (GC). Wheat germ can be a viable policosanol source for health benefits product development or food supplements.Â
Effectiveness of Constructivism Approach to Increase Mathematical Communication Skill of Students Junior High School
Authors: . Hadijah , Puteh Marzita
Published: July 2024

The purpose of this study is to analyze and explore the effectiveness of constructivism approach in improving the mathematical communication skills of junior high school (SMP) in Paser city, Indonesia. Type of research used in this study are mix method (quantitative and qualitative) in form of pre test, post test, questionnaire and observation. The research method used in this research is quasi experimental method. In this study, the population is all high school students in Paser City and the sample study was VII class students at three junior high schools in Paser City, Furthermore from each of the schools selected 1 class as the treatment group and 1 class as the control group, so the total is 6 classes. In this research there are two types of data that are quantitative data and qualitative data. For quantitative data analysis and data processing using Statistical Package for Social Science (SPSS) Version 21.0. using the Levene Test is used to see the uniformity of treatment groups and control groups. Then Qualitative data is obtained from the observation process. For observations in descriptive analysis to support quantitative data completenessÂ
A Scenario of Implementation Building Information Modelling (BIM) Technology in the Interior Design Industry
Authors: Bakar Abd Hamid Abu , Rashid Embi Mohd , Zafrullah Mohd Taib Mohd , Haqqi Nazali Abdul Razak Ahmad
Published: July 2024

While Building Information Modelling are established in construction industry especially in architectural, engineering and construction (AEC), interior design is still struggles and freshly in this technology. BIM is a new paradigm in a construction industry to enhance the construction progress and documentation more efficient and fast. The main research is to emphasize the scenario of implementation building information modelling for interior design industry in Malaysia context. The research explores how crucial the adoption BIM for interior design firms in industry. This study is embark on collecting data through a pilot survey which is several interior design firms registered with Board of Malaysia Architect (LAM) was chosen. The research outcomes are to find out the problems why interior design industry in Malaysia is unimplements BIM technology in interior design industry. This study also will be figure up the solution on adoption of BIM in interior design industry.Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
Content-Based Representation For Moth Recognition And Retrieval: A Review
Authors: Fatin Mohd Hamran Nur , Rina Mustaffa Mas , Doraisamy Shyamala
Published: July 2024

There are numerous of moths on the earth and their presence is useful to our life especially as life indicators. Most of the entomologists have problems to recognize mothâ€™s species because each of them has their own color, texture and shape. The varieties of color, texture and shape of moths has increased the researcherâ€™s attention to improve the method in recognizing the mothâ€™s species. This study investigates the effectiveness of Bag of Visual Words (BOVW) representation for recognizing the mothâ€™s species. BOVW is a simple and effective representation. This representation broadly used especially in computer vision and object recognition. Local descriptors, clustering approaches, and word-image histograms in regards to BOVW for image classification and retrieval are studied. There is a contradiction between BOVW models about spatial information. The extension of BOVW to consider the spatial information is believed able to contribute to a more effective representation for moth recognition and retrieval.Â
Histological Analysis of Murine Ovaries and Uteruses Following Supplementation with Alpha-Tocopherol in Nicotine Injected Mice
Authors: Azmil Amirudin Mohd , Shahrizal Sanudin Muhammad , Shahrul Nizam Mohd Isa Mohd , Syairah Mohd Mutalip Siti
Published: July 2024

Vitamin E can be classified into eight different lipophilic subtypes; namely alpha(Î±)-, beta(Î²)-, delta(Î´)- and gamma(Î³)-tocopherol (TOC) as well as alpha(Î±)-, beta(Î²)-, delta(Î´)- and gamma(Î³)-tocotrienol (TCT). From these isoforms, Î±-TOC has been reported to have the most promising health benefits. The purpose of this study was to determine the effect of Î±-TOC on the histological structures of murine ovaries and uteruses in nicotine-treated females. Thirty ICR female mice were divided into 5 groups (Group A â€“ E) with 6 mice each. Group A received 0.1 ml of tocopherol-stripped corn oil, group B given 0.1 ml of 0.9% normal saline, group C treated with 3 mg/kg/day of nicotine, group D treated with 60 mg/kg/day of alpha-tocopherol and group E was concurrently treated with 3 mg/kg/day of nicotine and 60 mg/kg/day of alpha-tocopherol. Following the treatments, all females were euthanized and the studied organs were collected and processed for histological analysis. Obtained results indicated that exposure to nicotine reduced the numbers of ovarian follicles and endometrium thickness (Group C). However, these adverse effects have been reduced in the group concurrently treated with nicotine and Î±-TOC (Group E). This result suggested that Î±-TOC might be able to minimize the adverse effects of nicotine in the ovaries and the uterus. Further studies are needed to confirm on these effects from the physiological aspects of the ovaries and uteruses.Â
Sentiment Analysis of Indonesian Movie Review using K-Nearest Neighbors and Information Gain
Authors: Ine Pristiyanti Ria , Ali Fauzi M. , Muflikhah Lailil
Published: July 2024

Movie review is a necessity for movie lover to get information about people opinion on the movie to watch. However, movie lover cannot read all of the movie review manually. It will be costly and time consuming. Therefore, automatic way to analyze them is needed. In this study, we use bag of word (BOW) model and utilize IG to select the best features before KNN is employed to classify the review into positive or negative. The result for using all of term for classification is better than the feature selection due to the elimination of term having low information gain value with 92% accuracy.Â
The Strategic Analysis of Managing Raw Material Replenishment for Product-based Manufacturing System
Authors: M.K.S Shafei , M.N Che-Ani , I.A Azid,
Published: July 2024

The product-based manufacturing system is widely applied in manufacturing industries based on the segregation of products and it is mostly designed based on the human dependent processes. To ensure the smoothness of production processess, the raw material replenishment activity plays an important role in terms of avoiding the material shortage. Currently, several concepts have been designed for material replenishment but the issue of material shortage in manufacturing system still occurs and it has interrupted the flow of production processes due to quality issue and production lead time. Thus, the present study investigates and examines the selected concepts in raw material replenishment to determine the optimum solution material replenishment concept. Three concepts of the material replenishment system were identified, namely adhoc, self-service and dedicated, and all of these concepts were examined in terms of waiting time. The result showed the dedicated concept was identified as the greatest concept of managing the material replenishment for product-based manufacturing system.
Characteristic Analysis of 8kW Class High-Speed Permanent Magnet Synchronous Motor
Authors: Bang Tae-Kyoung , Shin Kyung-Hun , Lee Jeong-In , Lee Hoon-Ki , Cho Han-Wook , Park Pan-Gun , Choi Jang-Young
Published: July 2024

Background/Objectives: This paper deals with characteristic analysis of High-Speed Permanent Magnet Synchronous Machine (High-Speed PMSM) for air-blower by using FEM (Finite Element Method) S/W tools and analytical method.Methods/Statistical analysis: The High-Speed PMSM need the protective tube with non-magnetic materials that protect the scattering of permanent magnet, for preventing the damage of the High-Speed PMSM, it is necessary that analyzed about mechanical analysis.Findings: The results of the stress analytical method are compared with the results of FEM analysis that validated the analytical method of stress analysis. Based on the results of the analysis, an analytical model was fabricated. Through the experiments, the presence of rotor breakage was examined and the performance was measured.Improvements/Applications: The analysis methods presented in this paper could be applied to characteristic analysis of the high-speed permanent magnet machine
Characteristic Analysis of 10kw Wind Turbine Generator According to Pole/Slot Number Combination
Authors: Seo Sung-Won , Lee Jeong-In , Jang Gang-Hyeon , Baek Chan-Ho , Kim Kyong-Hwan , Kim Kyong-Hwan , Hong Keyyong , Choi Jang-Young
Published: July 2024

Background/Objectives: Modern society has become very dependent on renewable energy, due to both the depletion and environmental problems of fossil energy.Methods/Statistical analysis: Permanent magnet generators vary in performance, depending on their pole/slot combinations. Therefore, in this paper, we compared the characteristics of permanent magnet generators, according to their pole/slot combination. The investigation was conducted using a finite element analysis(FEA) method, and the experiment was validated utilizing an improved version of our previously designed generator and pole/slot combination.Findings: In this paper, two configurations of pole/slot combinations are presented, because of their different characteristics, as highlighted by our analysis. The generator, which was manufactured before the improvements, had an output power of 10kW, with 56 poles and 63 slots. To improve this basic generator, the performance was predicted through finite element analysis (FEA).First, we compared the FEA with the no-load results of the basic model, which verified the reliability of the analysis. Next, the pole/slot combination was changed to 48 poles and 54 slots, with the results analyzed for both no-load and load conditions. To reduce the cogging torque, we adjusted the permanent magnet ratio and applied a chamfering effect, then analyzed the balance of the generators by comparing the radial force density. Finally, an improved model was fabricated and compared with the experimental results to demonstrate its validity.Improvements/Applications: As a result of improving the performance of the generator, this paper can be referenced when manufacturing and improving electric devices.Â
Study on Improvement of Torque Characteristics of IPM BLDC Motor for Electric Water Pump using Ferrite Magnet
Authors: Baek Soo-Whang , . . , . .
Published: July 2024

Background/Objectives: The objectives of this study are to propose a design method to replace the permanent magnets of brushless DC (BLDC) motors used in electric water pumps (EWPs) with ferrite materials and to improve the torque characteristics.Methods/Statistical analysis: Using the proposed design algorithm presented in this study, the shape of the ferrite permanent magnet used in the rotor was changed, and the output at the same level was confirmed when compared with that of the conventional model that uses rare-earth magnet. In addition, finite element (FE) analysis verified that the cogging torque and torque-ripple characteristics of the proposed model using a ferrite material improved.Findings: An EWP operated by a BLDC motor is used to improve the engine performance of a vehicle. Applying permanent magnets made of a ferrite material is necessary, which is advantageous in terms of cost in the design of BLDC motors. In particular, ferrite permanent magnets have a good demagnetization characteristic at high temperature compared with rare-earth magnets. By improving the cogging torque and torque ripple of the motor, achieving robust characteristics from disturbance and precisely controlling the system become possible. In this study, BLDC motors for EWPs were designed by replacing the rare-earth permanent magnets with low-cost ferrite permanent magnets. The shape design of the rotor using ferrite permanent magnet was implemented to make the output characteristics of the proposed model conform to the output characteristics of the conventional model, and simultaneously, the cogging torque and torque-ripple characteristics improved. To verify the suitability of the proposed design method, the design results were analyzed using 2D FE-analysis.Improvements/Applications: The proposed design algorithm is suitable for cost reduction and performance improvement of BLDC motors that drive EWPs for automobiles.Â Â
Iris Feature Extraction Methods Overview
Authors: Swati D. Shirke Ms. , C. Rajabhushanam Dr.
Published: July 2024

Iris reorganization remains one of the superlative recognition techniques in Biometrics system, for human Identification and authentication purpose we can use IRIS Recognition technique by using machine learning technologies. Machine Learning helps us find solutions of many problems in computer vision and recognition techniques [1] .Iris recognition task not only effortlessly but also every day we recognize our friends, relative as well as family members. We also recognition by using persons IRIS pattern composed of a particular combination of features. The main process in IRIS Recognition system is feature learning i.e. a set of techniques that learn feature [2][3]. This Paper deals with: Dimension Reduction techniques for IRIS feature Extraction.Â Â Â
FEM Formulation to Solve Hyperelastic Problem up to Large Strain
Authors: Verma Sushant , Ahmed Anwer , Kumar Sharma Vipul , Gupta Anuj
Published: July 2024

In this paper finite element method has been practiced for solving the hyperselastic problem upto large strain. Truss problem has been solved by using the finite element formulation. The aim of the paper is to discussed the algorithm used to solve the complex problem. For that FLagSHyp code (Finite Element Large Strain Hyperelastic Problem written by Javier bonet and Richard D .wood) algorithm has been discussed to understand the behaviour of hyperelastic material subjected to large strain. The result obtained is compared by the result obtained from abaqus software. Three models i.e. Odgen model, Incompressible neo-hookean model and Mooney-Rivlin model have been applied for the truss problem.Â Â
Cogeneration Possibilities in Academic Institutions: an Experimental Study
Authors: Tiwari Sumit , Gupta Ashish , Prakash Yadav Om
Published: July 2024

In present paper, concept of cogeneration has been implemented experimentally. Internal combustion engine (ICE) working on diesel fuel taken for energy production although it is found that out of total energy 42% is wasted through exhaust gasses and 28% energy is wasted due to engine cooling. Energy wasted through exhaust and cooling can be recovered through water or some fluid heating. Present study is done in academic institute (KIET, Ghaziabad, UP, India) in which time table has been arranged so that ICE energy can be utilize in ICE lab and energy of exhaust gasses and engine cooling can be utilize in heat and mass transfer lab for study of heat exchanger working in parallel and counter flow condition. It is seen from the result that thermal efficiency has been increased by 40% at higher loading conditions.Â Â
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
An Optimal HVDC Type Study to Increase Wind Power Capacity in Multi-Infeed HVDC Systems
Authors: Jung Seungmin , Yoon Minhan
Published: July 2024

Background/Objectives: The implementation of renewable energy sources such as wind power generators on power system and the use of DC systems that can compensate for unstable characteristics is increasing.Methods/Statistical analysis: In this paper, interaction factor criteria among buses for voltage stability criteria inertia criteria analysis for frequency stability are introduced in case that several HVDC converter stations are installed close to each other. The method has estimated a system stability analysis including stability, reliability, and interaction based on the generator constraints. To calculate available renewable energy capacity, power balance combination analysis has been performed.Findings: Conventional methods for analysis of HVDC system input are generally applied to a single infeed HVDC. In this paper, based on the existing analysis method, we analyze the influence of several and various types of HVDCs on the system and propose must-run generator condition to maintain the stability of the system. Furthermore, the effect on wind power penetration limit was analyzed depending on the combination of HVDC system. The superiority of VSC in multi-infeed HVDC system to promote renewable energy implementation could be estimated through the proposed analysis method.Improvements/Applications: The power system planning and operation including high penetration of renewable energy resources and multi-infeed HVDC system would be performed more appropriately.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
Proficient Pivot Less Ongoing Individualized PageRanking
Authors: Namita Namita , Gupta Sandeep , Pratap Srivastava Arun , Awasthi Shashank , Saraswat Krishan
Published: July 2024

In the period of enormous information, diminished models equipped for lessening huge information chart to appraise individualized PageRank are constrained. Individualized PageRank is a page rank estimation where irregular bounces are just permitted to a subdivision of begins pivots. The assets of ongoing procedure of figuring of individualized PageRank are exceedingly restrictive; hence we introduce a unique quick exact and fewer asset serious calculation for individualized PageRank issue. Quick Individualized PageRank finds objective pivot group. By using the reference to target group, the calculation estimates a value much closer to any match of pivots in the chart. Since the time it takes to estimate individualized PageRank specifically corresponds to system measure, here a pivot decrease strategy is thereby utilized to shorten charts. In this shortening model, major prevalent pivots otherwise called centers are discovered utilizing individualized vector for the page. For lowering the entropy and quantity about interchange ways for objective pivots, famous pivots are located and marked. The marked pivots, at that point, are given a minor need for calculating. Along these lines the repetitive way will being overlooked in the calculation procedure. In the wake of shortening chart, assessment results accomplish enhanced chronological multifaceted nature. In examination, a contrast of outcome and the criterion FAST individualized PageRank method. This algorithm majorly shortens time for calculating time and surpasses the criterion FAST individualized PageRank calculation as in very thick charts.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
Design and Implementation of High Speed and Low Power Factorial Circuit
Authors: Saravana Saravana , Kumar K.N Vijeya , C J Profun , S Saranya
Published: July 2024

This paper deals with design of factorial circuit which turns on only for valid inputs and thus reduce unwanted transitions in the parallel circuitry by switching off the unused multipliers for inputs less than the maximal. The inputs are fed to the multiplier circuit through tristate buffers and control signals are produced using decoder. This in turn minimizes the dynamic power dissipation and reduces delay. The experimental evaluation of the proposed factorial circuit is done using simulation outputs and by comparing the performance parameters with prior designs in terms of power dissipation and delay. The functionality of the proposed circuit is verified by implementing in a combination and permutation circuit.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
Allocation of Control and User Data Channels for Private UAV Networks
Authors: Jyot Singh Prabhu , De Silva Rohan
Published: July 2024

Unmanned Aerial Vehicle (UAV) industry shows rapid growth in producing sophisticated UAVs for civilian use in recent years. With the invention of private UAV networks, these UAVs can now be used in a UAV network owned by a single organization or a person. For example, a private UAV network gives the ability for a farmer to monitor the farm from one location or to locate people in a natural disaster-stricken area. The wireless communication paths between UAVs and the ground station in a private UAV network play a vital role in transmitting video to the ground station. It is also necessary that the control signals are sent over the private UAV network to the UAVs to control their movements. Since the control signals cannot be delayed and videos received at the ground station should be of high quality, separate channels should be created for user data and control data traffic. In this paper, we present a channel allocation approach for private UAV networks to transfer control data as well as user data. For high quality video transmission, we recommend bonding of basic video channels. This new channelization also avoids congestion and packet drop issues of video and control data traffic in private UAV networks.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
Collaborative 3D Terrain Editing Application
Authors: K.M. Nasution Mahyuddin , Timanta Tarigan Jos , Jaya Ivan , Melvani Hardi Sri , Sitorus Syahriol
Published: July 2024

In 3D content creation, developing a terrain may be time consuming due to most of current 3D applications require a vast terrain. In this paper, we introduce a collaborative terrain editor that allows multiple users to collaborate in real time. The objective of the application is to increase the productivity in developing a vast terrain in 3D environment. The application is based on a client server architecture where each editor applications are connected to a single server that collects and distributes the editing process done by each user. We perform our test in a local area network environment with multiple clients connected to a server and observe the performance and the usability of the software. The test results show the system is capable to perform real-time collaborative terrain editing with insignificant delay. Moreover, most of our users agree that using the system may increase the speed in 3D terrain creation.Â