bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance Comparison between TCP and UDP Protocols in Different Simulation Scenarios
Authors: Taha AL-Dhief Fahad , Sabri Naseer , M. Abdul Latiff N. , Noordini Nik Abd. Malik Nik , Abbas Abbood Albader Musatafa , Abed Mohammed Mazin , Noori AL-Haddad Rami , Dawood Salman Yasir , Khanapi Abd Ghani Mohd , Ibrahim Obaid Omar 
Published: July 2024

User Datagram Protocol (UDP) and Transmission Control Protocol (TCP) are a transportation layer routing protocols which are considered of the core protocols of the internet protocol suite. The behaviour of these routing protocols with different network metrics and scenarios is still not very clear. Therefore, this paper presents a comparison of the performance of both TCP and UDP to precisely determine which of these protocols is better. Network Simulator version 2.35 (NS2) is utilized to analyse and evaluate the performance for both TCP and UDP protocols varying in the packet size and the bandwidth. In this study, we have used two scenarios, in the first scenario the bandwidth has been changed with fixed packet size and in the second scenario the packet size has been changed with fixed bandwidth to precisely verify the performance of these protocols. These protocols were examined in terms of the rate end-to-end delay, rate throughput, packet delivery ratio, and packet loss ratioÂ Â
Financial Performance - A Study on Indian Banks
Authors: Bala Mohana Krishna I. , K.S.Sekhara Rao Dr. , . . 
Published: July 2024

Banks play an active role in the financial growth of kingdom. Their capacity to make a affirmative involvement in igniting the method of increase calculate on the valuable banking scheme. Banking coordination is an significant ingredient of the in general money-making system. It plays a major role in mobilizing the nationâ€™s savings and in channelizing them into high speculation priorities plus better consumption of presented possessions. The present examination endeavors to dissect budgetary execution of Six chose Indian Public segment banks and private area Banks like Vijaya bank, Dena bank, Syndicate bank, Yes Bank, Dhanlaxmi bank, City Union bank. This investigation inspects and assesses the simultaneous execution of picked few noteworthy Indian banks amid 2017-2011. With the end goal to pass judgment on their execution, the present investigation thinks about the money related position of different open and private area Banks. Furthermore, to demonstrate this practicality, utilized the considerations â”€ Return on Asset, come again on Equity and Net attention Margin, working interest edge, Interest salary/add up to resources, ROI, Net benefit. Besides, his investigation finds out through quantitative research utilizing Analysis of combined T test.Â Â
A Comprehensive Parametric Analysis of Vertical Handoff using Ant Colony Optimization
Authors: Sivvam Sandeep , Neeraja S. , Dharma Raj C. 
Published: July 2024

With the development of 4G mobile telecommunication systems, providing users with the convenience of a seamless continuous connection is not enough anymore. With best Quality of Service (QoS) users want to be connected to the best available network. Hence, it is necessary to have good decision making algorithm that will decide whether to perform handoff to another network, the best network to vertically perform handoff to, and the right time to initiate the handover. The key aspects leading to deployment of extensive array of wireless and mobile networks are advances in miniaturization, circuit design with low power and development in radio access technologies and demand for high speed internet access increase in user. The choice of parameters plays significant role in the decision of vertical handoff. Parameters like power consumption, bandwidth, velocity, signal strength, cost, throughput, user preferences and load falling on network are considered during vertical handoff. Optimization helps in using these available resources in best possible manner as in many cases vertical handoff takes place in situations where the resources are very limited. In this paper only the parameter Power is taken into consideration and Ant colony optimization technique is applied and the comparison for power before and after optimization is plotted.Â Â Â
Technology and Architecture for a System of High-Speed Sensor Data Stream Collection and Processing
Authors: V. Kopytov Vladimir , V. Kharechki Pavel , V. Naumenko Vladimir , V. Savartsov Aleksey , V. Dorofeyev Oleg , V. Batashan Mikhail 
Published: July 2024

Objective: The objective is to address the challenges of monitoring process facility and environmental parameters, which can be analyzed to anticipate dangerous and critical conditions.Methodology/approach: This article proposes the technology and architecture for a system of high-speed stream data collection and processing, which combines the advantages of both the cloud and fog computing models for data collection, storage and processing.Conclusion: The proposed technology and architecture for a system of high-speed stream data collection and processing make it possible to adapt to various monitoring and situation control challenges and can be used to set up centers for processing monitoring data of different levels.Originality/value: The originality of the proposed technology and architecture consists in the application of a set of universal programming solutions aiming to set up a data processing center. Such a center would require a minimum amount of work related to designing an automated data collection system and to developing additional software. Furthermore, it will provide ample opportunities for further scaling and expanding its functionality.Â Â
The Effect of Hidden Time Loss Measures Components from Aspect of Assembly Features Perspective in Automotive Industry
Authors: Rasib A. H. Abdul , Rafaai Z.F Mohamad , . . 
Published: July 2024

Hidden Time Loss (HTL) usually effect on productivity during the production processes. Normally, top performance measurement tool is used in the production assembly line such as Overall Equipment Efficiency (OEE). In order to provide HTL, equipment performance as one of the measure components of OEE is used in order to provide HTL. In scope of assembly process especially the manual and the semi-auto in the assembly process, OEE does not suitable in measuring those operation performance. There should be the value of HTL have happened during the manual and semi-auto processes that become serious while related to aspect assembly features such as left and right components, product type/variety, model type/variety, and rear & front component in one production line. In this regards, the objective of this study is to present the Hidden Time Loss Measures (HTLM) components and itsâ€™ effect to HTL based on the aspect of assembly features. The structure of HTLM components are designed through a detail literature review on production assembly line and its performance measures. The case study at five automotive manufacturing assembly companies in Malaysia is used to validate the HTLM components structure. The outcomes show that there is significant effect of HTLM components on production productive time in the aspects of assembly features.Â Â
Sensitivity Improvement And Optomechanical Analysis Of Composite Material Using Fiber Bragg Grating Sensor Optomechanical Analysis of Composite Material Using Fibre Bragg Grating Sensor
Authors: Jahan M.A Ibrar , Rajini V Honnungar Dr. , M Upadhyaya Anup 
Published: July 2024

This paper presents the design and simulation of FBG as a pressure sensor. Fiber Bragg Grating (FBG) coated with different materials and their sensitivity has been investigated. Using optomechanical equations strain and shift in wavelength values are calculatedÂ for a bare FBG and FBG coated with PMMA, polystyrene and aluminium. Bragg wavelength/center wavelength shifts when there is perturbation on the fiber gratings due to pressure or any external change. Design parameter is achieved by FBG spectral characterization. Using R-soft and Grating â€“Mod tool box grating length, modulation depth, grating pitch and other physical parameters are changed and simulation is carried out. In literature various methods are proposed for sensitivity improvement. In this work from the simulation results and sensitivity calculation it was noted that FBG coated with PMMA offers good sensitivity of 1.17Âµm/ÂµÉ›. Â Optomechanical simulation in Comsol multiphysics has also been investigated to obtain mechanical stress and strain with optical spectral response Â for metal embedded FBG sensor.Remarkable shift in wavelength is observed during the analysis. Linear displacement of fibre found with respect to arc length.Â Metal embedded FBG sensor is having tremendous application in aviation, automobiles,machine tools.Â Â Â
Epileptic Seizure Detection from Eeg Signals by Adaptive Wavelets and Support Vector Machine
Authors: Venkateshkanna T. , K Punithavathy , R Vallikannu 
Published: July 2024

Recent advances in computer technologies help to diagnose various disorders of the brain using Electroencephalogram (EEG) signals. The importance of a diagnostic application is to reduce the False Positive (FP) cases. To achieve this, an efficient approach for epileptic seizure classification is proposed using adaptive wavelets called Empirical Wavelet Transform (EWT).Â The different modes of EEG signals are extracted using EWT and then features from the different modes are extracted. Then, classification is done by a typical machine learning technique, Support Vector Machine (SVM). The performance of EWT-SVM system is evaluated using confusion matrix. From the confusion matrix, sensitivity and specificity are computed. In this paper, an efficient approach for the diagnosis of epileptic seizure using EEG signals is designed. At first, the given EEG signal is decomposed using EWT to extract the information of all components. The EWT energy features are extracted from the EEG signals which are used for training the SVM classifier. Results show that EWT-SVM system reduces the FP cases with 100% of accuracy, sensitivity and specificity which indicates that no misclassification occurs.Â Â Â
Study of Factors Affecting the Dielectric Strength of [Ep/ZrO2 â€“ y2O3] Nanocomposites
Authors: H.M. Alfalahi Ahmad , . . 
Published: July 2024

A nanocomposite material was prepared from epoxy resin reinforced by nanoceramic powder [Nano Zirconia â€“ Yttria, (ZrO2 â€“ y2O3) (70-80nm)], with several weight ratios (1.5, 2.5, 3.5, 4.5 Wt%), the research samples were prepared according to the standard specifications in different thicknesses (1, 1.5, 2, 2.5mm). The effect of addition rate (Wt%) was studied in addition to Â the thickness, number of cycles, and average of voltage increase, on the dielectric strength (Ebr) for the composites before immersion, then, the effects of immersing the composite material in distilled waterÂ were observed also in NaOH and HCL diluted solutions (0.5 N) Â were observed .The test results revealed an increase in( Ebr) with increasing the addition of (ZrO2 â€“ y2O3) [( from 27.8 kv/mm for a ratio of 1.5 Wt% to 33.4 kv/mm for a ratio of 4.5Wt% at the average of voltage increase 0.5 kv/s) (and from 31.4 kv/mm for a ratio of 1.5Wt% to 36.7 kv/mm for a ratio of 4.5Wt% at the average of voltage increase of 5kv/s)], and with increasing average voltage increase, on the contrary,( Ebr) decreases with increasing the sample thickness, number of cycles, and immersion in distilled water and chemical solutions (with immersion period) noticing that the chemical solutions effect was greater than that of the distilled water.Â Â
A Circularly Polarized Rectangular Dielectric Resonator Antenna Excited by E-Shaped Feed
Authors: Iqba J. , Illahi U. , I. Sulaiman M. , Alam M. , Mazliham MS. 
Published: July 2024

This research article present designing and analysis of a novel E shaped feed, which is consisted of seven optimized metallic strips that have been used to excite Rectangular dielectric resonator antenna (DRA) and generate wideband circular polarization. The novel feed has provided a 10-dB impedance matching bandwidth of ~ 7.85% and 3-dB Axial-ratio (AR) bandwidth of ~8.12 % in the broadside direction.The proposed DRA attained high gain and beam width i.e. 5.4 dB and 45Â° respectively over the same frequency range. The model has been simulated in computer simulation technology (CST) software by using the transient solver, based on the finite integration technique (FIT) and thoroughly validated through another computational technique i.e. finite element method (FEM), where a significant trend resemblance can be seen between the results of both solvers.Â Â Â
A Rectangular Dielectric Resonator Antenna with a Wideband Circular Polarization excited by an H-Shaped Conformal Metal Strip
Authors: Illahi U. , Iqbal J. , I. Sulaiman M. , Alam M. , S. Mazliham M. 
Published: July 2024

A unique conformal H-shaped metal strip has been used to excite a rectangular dielectric resonator antenna (DRA). By using this proposed single feeding technique, a broadband circular polarization has been produced. A circular polarization bandwidth of ~17.6% and an impedance-matching bandwidth of ~21.6% with a useful overlap of ~14.4% has been achieved. The Computer simulation technology (CST), a 3D simulation tool has been used to design and simulate the antenna prototype. The design has been successfully built and simulated using Finite Integration Technique (FIT). The results of FIT has been validated by Finite Element Method (FEM) i.e. another simulation technique available in CST. A great resemblance between the results from FIT and FEM has been observed.Â Â
Preliminary Investigation of Formulated Two in One Filter Aids Material as VOC Adsorbent
Authors: Masdiana N. , Rashid M. , Hajar S. , NorRuwaida J. , R.Ammar M. 
Published: July 2024

Continuous adsorption of toluene gas onto newly formulated filter aids was studied in packed-bed column. Two different ratios of formulated filter aids prekotAC (prekotAC 5:95 and prekotAC 10:90) Â which is a mixture between pre-coating material of PreKotâ„¢ and activated carbon was experimentally adsorbed toluene gas (100 ppm) at constant temperature (25oC) and flow rate (0.55 lpm) onto two different amount of adsorbents (5 and 10 mg) and the experimental breakthrough curve was obtained. The results showed that, bu using 10 mg samples, prekotAC 10:90 had longer time (28 min) to reach equilibrium point compared to prekotAC 5:95 (22 min) and the amount of adsorbent used significantly affect the adsorption performance where adsorption performance was directly proportional to the amount of adsorbent used.Â
Pretreatment of Sugarcane Bagasse by Hot Compressed Water In The Presences of Acid and Alkaline Promoters
Authors: Weerasai Khatiya , Laosiripojana Navadol , Champreda Verawat 
Published: July 2024

Continual rise in utilization of the depleting fossil fuel leads to environmental concerns related to greenhouse gas release which makes finding sustainable alternative platform industry for the production of fuels, commodity chemicals, and materials from renewable plant biomass of great interest. Pretreatment of the starting biomass is a pre-requisite in sugar platform biorefinery in order to increase enzymatic digestibility of the recalcitrant lignocellulosic materials. In this work, pretreatment of sugarcane bagasse was studied under hot compressed water condition in the presence of several acid/alkali promoters (1.5% H2SO4, 5% NaOH) or alternatively in weak acid (acetic acid) or base (triethylamine (TEA) as the sole reaction medium under low reaction temperatures (80 to 120 Â°C) for 30 min with pressurized nitrogen gas at 20 bar with continuous stirring at 100 rpm. It was found that the use of base promoters strong base NaOH are efficient in pretreatment under the low temperature in experimental conditions enhancing biomass pretreatment efficiency with high delignification efficiency and high cellulose recovery.Â Â
Image Enhancement by Unsharp Mask Filtering Based on Detrending Method
Authors: Kim Jeong-Hwan , Lee Kang-Hwi , Lee Jeong-Whan , Kim Kyeong-Seop 
Published: July 2024

Background/Objectives: Unsharp Masking (UM) technique has been widely used to enhance high-frequency details such as edges by subtracting its local blurriness involved in pre-fixed low-pass filter mask operations and adding high-frequency weighting elements toÂ original image. However, UM process has a major drawback: it estimates only local blurriness by performing convolution operation involved with the pixels in the limited spatial scope. With this aim, we present a new UM method by detrending analysis where overall blurriness in a given image is estimated in terms of a slow and non-stationary global tendency that is resultant of merging adjacent local trends.Methods/Statistical analysis: In our study, global non-stationary trend was estimated by applying detrending method that was originally developed based on smoothness priors approach to estimate slow and non-stationary trend in Heart Rate Variability (HRV) analysis. In our study, non-stationary trend was resolved by merging subsequent local trends due to the limitations in inverse-matrix computations and this global tendency was interpreted as non-stationary part for applying detrending analysis.Findings: Our test results reveal that the suggested UM approach can efficiently estimate the global trend of an image and subsequently it can be utilized to improve the sharpness and contrast of an image.Improvements/Applications: In this study, zigzag-scanning algorithm was used to convert two-dimensional image data into one-dimensional vector form to estimate non-stationary trend of an image based on detrending analysis. In the future study, it might need to explore the role of specific scanning-order how this factor affects the performance of estimating local blurriness of an image.Â
Robust Fault Diagnosis for a Quadrotor with Actuator Fault
Authors: P. Nguyen N. , K. Hong S. 
Published: July 2024

Background/Objectives: Fault diagnosis (FD) is a main role in active fault tolerant control system. It can not only determine the location but also estimate the magnitude of fault.Methods/Statistical analysis: This article presents an adaptive fault diagnosis approach for a quadrotor with a simulated actuator fault. Firstly, the dynamics of the quadrotor are considered as a state space model. The magnitude of fault is identified through an adaptive law. Designed matrices and parameters are solving by linear matrix inequalities (LMI).Findings: Unlike previous studies, the present method can determine time-varying actuator faults with disturbances consideration.Improvements/Applications: Simulation results demonstrate that proposed method can estimate time-varying faults with high accuracy.Â Â
Effectiveness of Repetitive Transcranial Magnetic Stimulation for Improving the Verbal Memory of Patients with Anomic Aphasia in South Korea
Authors: Byeon Haewon , . . 
Published: July 2024

Background/Objectives: The objective of the present research was to evaluate the effects of the repetitive transcranial magnetic stimulation (rTMS) application to the patients with anomic aphasia on the verbal memory (VM).Methods/Statistical analysis: This study was conducted on 31 patients, who were diagnosed with anomic aphasia due to the stroke. Subjects were randomly divided into a treatment group (receiving rTMS; n=16) and a control group (Sham TMS; n=15). The location of the rTMS stimulus was the left dorsolateral prefrontal cortex (DLPFC) and the 1Hz TMS was given 20 minutes per time and three times per week for four weeks. The positions of the electrodes of the Sham TMS group were identical to those of the treatment group and the stimulation stopped 30 seconds after the application.Verbal memory evaluation was conducted by using the Korean version of the Consortium to Establish a Registry of Alzheimer's Disease assessment battery (CERAD-K).Findings: The results of the ANCOVA indicated that there were significant differences (p <0.05) between the two groups in immediate verbal memory (IVM), recognition verbal memory (RVM), and delayed verbal memory (DVM).Â The results of parameter estimation showed that IVM, RVM, and DVM were significantly higher in the treatment group by 1.9, 2.0, and 2.1, respectively, than in the control group.Improvements/Applications: The results of this study suggested that the repeated stimulation on the left dorsolateral prefrontal cortex using the rTMS could improve the VM of stroke patients.Â Â Â
Study of Building Aerodynamics for Designing Natural Ventilation System
Authors: Gupta Anuj , Vats Bhavyanidhi , Ahmed Anwer , Verma Sushant , Kumar Sharma Vipul 
Published: July 2024

Study of building aerodynamics is an important part of building design because aerodynamic factor helps us to design considering wind velocity. If building has not been designed with this factor, wind may damage external walls of the building. In this study, 2D and 3D models of building in three different shapes has been considered for the simulation. Cylindrical, cuboidal and back stair type building has been considered with steady state, laminar air flow and building walls with no slip condition problem. With the study of air flow in the surrounding of the building, effect of air flow on the ventilation system will be concluded in this paper.Â Â
Outliers in Data Mining: Approaches and Detection
Authors: Mishra Deepti , Soni Devpriya 
Published: July 2024

The paper is grounded on the study of outliers which are the objects that somehow arise unlike from residue data stored and can be pointed as outliers. At present in data mining Outlier detection is the currently innovative topic for research. Outliers detection in a set of patterns is a pertinent problem in the data mining area. Outlier mining is the problem of detecting unseen events, abnormal data and exceptions. Another perspective of outliers they affect the outcomes and analysis of data. Presence of outliers make the results in confusable state. The patterns generated after the calculations from the data are not authentic and precise because of the outliers. This is the focus of this review as well as of that of this paper as well. There are some common categories of outliers described in this paper. In the residue of this paper, we will discuss briefly about data mining, outliers and their different categories, data mining techniques for outlier detection, application to support outlier detection from the data set, and approaches for outlier detection.Â Â
Approach for Detection of Selfish Nodes in MANET
Authors: Varshney Ishu , Ali Shahjahan , Singh Bhairvee 
Published: July 2024

MANET (Mobile Ad-hoc Network) is self-arranging framework using more than one mobile wireless node. The misbehaving of nodes is due to the selfish motives that appreciably decline the performance of MANET. So, itâ€™s essential to detect the selfish nodes to improve the overall potential of transmitting the data packet. Therefore, this paper basically deals with an approach on detection of selfish nodes in MANETs that further simulated in NS-2.Â Â
Network Reduction Impact on Optimisation Algorithms by Predicting Robot Movement
Authors: Chauhan Divyanshu , Singh Bhairvee , Varshney Ishu 
Published: July 2024

Recently the size of the neural network has been increasing at a very fast pace. This increases the training time and computation cost required by the neural net. There are various ways to reduce the network to decrease the computation time and resource requirement.This paper measures the impact of network reduction on various optimisation algorithms by predicting Wall-Following robot movement. The network is reduced using the sensitivity of the neurons. Performance of various optimisation algorithms (Adadelta, Adagrad, Adam, Adamax, Rprop and SGD) are compared before and after network reduction. A single hidden layer neural network and a three hidden layered deep neural network are used for this experiment.Â Â