bluuebunny/crossref_metadata_2025 huggingface dataset:
A Proposed Architecture for Real Time Credit Card Fraud Detection
Authors: Ounacer Soumaya , Ardchir Soufiane , Rachad Zahira , Azouazi Mohamed
Published: July 2024

The world has known a huge evolution especially in the field of e-commerce. Owing to this technology, everything has become available to the user the thing that resulted in a significant increase of the credit card use. As a consequence, it has become the most popular tool for online payment transactions. Nevertheless, the risk of credit card transactions constitutes a major problem as it plays a crucial role in criminal activities. Thanks to e-commerce, the online payment does not require the physical card or the cardholder's presence. However, it is a two faced coin; anyone who knows the details of a certain card can easily make fraud transactions and the cardholder comes to know only after the fraud transaction is carried out. When it comes to security, all actors are affected namely the cardholder, the bank and the merchants. Hence, the urgent need for a powerful system that allows fraud transactions to be detected and processed in real time. In the work at hand, we are going to propose a system that "shields" the credit card from any kind of fraud. In other words, we intend to create a system whichÂ detects the fraud based on big data technology; precisely Apache storm and Machine Learning in order to minimize the latency and to process transactions data in real time.Â Â
Model End-To-End Integrated Quality Management
Authors: A. Nazarenko M. , A. Filippov A. , V. Ants V. , A. Baranova I. , Yu. Cheremukhina Yu. , S. Novikov MIREA A.
Published: July 2024

In this work, a model of end-to-end integrated quality management is developed, based on a set of existing models of enterprise operation, performance assessment and customer satisfaction ratings. The developed model integrates quality assessments by key parameters with the help of fuzzy regulators, which allow specifying estimates described in natural language.Â Â  Â
The Technology of Secure Data Processing in Production Systems Based on the Use of Special Microcontrollers
Authors: G. Magomedov. S. , . .
Published: July 2024

The technology is proposed to provide secure processing of data in technological systems based on the use of special microprocessors. A variant of the architecture of such a microprocessor is presented, as well as data processing algorithms that allow efficiently solving problems of secure data processing. The basis for the protection of data processing is the use of algorithms based on the sets of residual number systems (RNS). In the operative memory of the microprocessor, not the number, but the sets of its modules, are stored and processed. Therefore, stealing an intruder of a modules set does not allow him to recover the required number. The encryption keys for each microprocessor are formed together with other ones in the framework of a subsystem controlling other microprocessors, as well as the server.Â Â
Shape of overvoltage waves arising at lightning strokes to overhead transmission lines
Authors: E. Usachev Aleksandr , M. Yuditsky Danil , S. Kashaev Rustem , M. Ba Boraik Abdulrahman
Published: July 2024

This article shows the cause of arising overvoltage thunderstorm waves on overhead transmission lines (OTL) with nanosecond leading fronts. The algorithm is given to estimate the duration of the leading front in the case of back-flashovers from the tower to the phase conductors.Â Â
Development of Power Converter Digital Control System Using Psim, Matlab/Simulink And Digital Signal Processor Stm32f407
Authors: V. Talanov M. , V. Karasev A. , M. Talanov V.
Published: July 2024

At present, the development of digital control systems based on a microcontroller is carried out using a variety of modeling systems such as, for example, Matlab and PSIM. Modern programming technologies allow to combine Matlab and PSIM to perform simulations to take advantage of both modeling systems. The present market offers evaluation boards with a powerful microcontroller, which supports different peripheral units and data exchange protocols and allows connecting to a personal computer [1, 2]. This article deals with the development of the modeling method in which the control system based on the STM32F407 microcontroller will control the mathematical model of the developed converter.Â Â
Extreme Learning Machine Classification of File Clusters for Evaluating Content-based Feature Vectors
Authors: Raad Ali Rabei , Malik Mohamad Kamaruddin , Jamel Sapiee , Kamal Ahmad Khalid Shamsul
Published: July 2024

In the digital forensic investigation and missing data files retrieval in general, there is a challenge of recovering files that have missing system information. The recovery process entails applying a number of methods to determine the type, the contents and the structure of each data file clusters such as JPEG, DOC, ZIP or TXT. This paper studies the effects of three content-based features extraction methods in improving the classification of JPEG File clusters. The methods are Byte Frequency Distribution, Entropy, and Rate of Change. Consequently, an Extreme Learning Machine (ELM) neural network algorithm is used to evaluate the performance of the three methods in which it classifies the class label of the feature vectors to JPEG and Non-JPEG images for files in different file formats. The files are allocated in a continuous series of clusters. The ELM algorithm is applied to the DFRWS (2006) dataset and the results show that the combination of the three methods produces 93.46% classification accuracy.Â Â
Agile Processes Are the Factor of Competitive Advantage of Organizations
Authors: Rezapour Nasrabad Rafat , . .
Published: July 2024

One of the important and basic reasons of using technology and relevant tools is creating speed and agility in the processes and current activities of organization with correct and exact management of affairs and higher productivity. By suitable tools, we can predict and meet the demands and a positive cycle of creating production and service (even before fulfillment of market needs) is established and this leads to the success in competition. In an agile process, all people, institutes and organizational processes as integrated by using an advanced technology interact effectively to fulfill the needs of customers. Indeed, agility means the ability and speed of action of an organization for rapid and simultaneous application and interaction of technology, employees and management via creating rapid communicative infrastructures in purposeful, efficient and planning accountability and continuous and unpredicted changes in the needs of customers and market environmental conditions with the timely detection of opportunities. In an agile process, technology, management and personnel of organization as purposeful and planned interact in a dynamic environment in terms of unpredicted changes for rapid response to these changes. In this mini review study, afterÂ  review of the existing studies and electronic search in the local and international resources regarding the organizational agility, the researcher could explain theÂ  structure of agile or process oriented organizations.Â Â
Scientific Substantiation of the Technology of Finely-Dispersed Metallurgical Sludge Bioconversion
Authors: S.D Polischuk , A.A Nazarova , D.G Churilov , G.K. Rembalovich , M.Yu Kostenko , I.S Arapov
Published: July 2024

In the course of human activities large quantities of industrial wastes, unused by-products, remnants of raw materials, materials that completely or partially change their properties, accumulate in nature. On the other hand, one of the important problems is the remediation and increase in the yield of agricultural land, especially in central Russia. Numerous data on the use of sludge sediments in the United States and Europe in growing agricultural crops have given grounds for assuming that such wastes can be used in Russian agriculture. The aim of the research work is experimental confirmation in field conditions the effectiveness of using metallurgical sludge accumulations for the remediation of soil resources in agriculture and increasing the yield of agricultural crops, especially in central Russia. The conducted research allowed to make a conclusion about the effectiveness of metallurgical sludge as a potential component of agricultural fertilizers. As test crops, technical plants,sunflower and rape, were selected as objects suitable for the bioconversion of metallurgical sludge. Crops treatment with 10 % solution of sludge turned to be the most effective means. It resulted in the increase of the sunflower field germination by 7 %, plant weight by 27.7-33.4 %, plant height by 33.9 % and leaf area by 11.6 % compared to the control. Parameters of the vegetative and generative functions of rapeseed plants changed as follows: field germination increased by 4 %, plant height by 13.8-33.6 %, plant weight by 20.0-25.5 % and photosynthesis productivity by 33.7 %. Thus, metallurgical sludge can be considered as an effective stimulator of vegetative and generative functions of agricultural crops in relation to these soil and climatic conditions. The obtained biochemical and electron microscopic data convincingly indicate the possibility of including the components of the sludge in the physiological processes of plants, including as trace elements, which is the reason for the observed stimulation of plants growth and development.Â Â
Features of Applying Biological Preparations in the Technology of Potato Growing on Gray Forest Soils
Authors: D.V Vinogradov , O.N Terekhina , N.V Byshov , M.M4. Kryuchkov , N.I Morozova , O.A Zakharova
Published: July 2024

The article offers an analysis of investigating some experimental potato plantations. Potato is a widespread agricultural crop, which is one of the main food and industrial crops in Russia. The complex conditions of the modern period necessitate the development of new technologies adapted to the modern conditions of land use. One of the most important problems of potato growing is the lack of knowledge of agro biological properties of modern cultivars and their response to the biological methods of potato growing. Identifying the most effective of them and the best ways to use them is an actual problem of modern agriculture.The results of field experiments indicate that biological preparations (Albite and Biocomposite-Correct) have a multifunctional effect on potato plants. As a result of these studies, some positive data were obtained which showed the effect of the preparations on the onset of potato development phases and on the yield increase of potato test varieties. The maximum yield increase was formed during complex treatment of Gala cultivar potatoes with Biocomposite-Correct and was 2.52 t/ha as compared with the control variant, and the highest yield increase of Ryabinushka cultivar was achieved with the complex treatment with Albite and amounted to 2.12 t/ha.Â Â
A Framework For Effective Processing Of Jobs In Hadoop
Authors: Mohanty Amarendra , P.Ranjana Dr.
Published: July 2024

Â The main challenges in oozie based scheduling is high computing, high CPU usage and resource intensive. This leads to resource contention in production because it was not load balanced optimally.The objective of the proposed New Sql Server built Java based (NSSJ) Scheduling is to overcome some of the current challenges in the existing oozie based scheduling. It stores all the inventory information on SQL Server environment. SQL Server is preferred over Hbase, because at any given point of time, there were multiple threads hitting same inventory table to ensure transaction level processing. One can run or kill or put on hold any number of deamons or jobs at any point of time. This gives complete flexibility to the end user to load balance based on the number of jobs. It has auto restart feature when a task or job fails. It will try to attempt for one re-run, if it fails second time, it will put the job in abandoned state.Thus the proposed NSSJ scheduling load balances the resource optimally during production.Â Â
Visual Design for Malay Consonants Pronunciation
Authors: Noh Zakiah , Z. Z. Abidin Siti , Aliman Sharifah , Ardi Norizah
Published: July 2024

Numerous studies on text visualization have been long conducted around the world for distant and close reading. Nevertheless, in Malay language, a lot of research works on text visualization are focusing more on distant reading as compared to close reading. Thus, there is still lacking on determining textual feature for in-depth analysis of Malay texts. This paper discusses the Malay texts features that involve in designing the pronunciation of Malay consonants. The design process starts by analyzing articulation table and the standard articulation part of human mouth. The important parameters are identified from both sources in order to represent such data and symbols in a glyph visualization. Each glyph representation illustrates the simplified version of pronouncing the consonants. This research gives benefit to scholars who learn Malay language as a second language, specifically concentrating on pronouncing a precise Malay consonant.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 Â
Absorption Resonance Energy Transfer Between Organic Dyes (Cumarin And Rohdamain )
Authors: Abdle Diam Wajeha , . .
Published: July 2024

The spectral properties absorption of laser dyes (C480 & R610) mixture have been studied; this type of laser dye belongs to the coumarinoids and Xanthenes family, and has been dissolved Â in Â ethanol Â to Â prepare Â (1:1, Â 1:2, Â 1:3, Â 1;4, Â ratio) Â from Â Cumarin Â 480(C48): Rohdamin610 (R610) in (10-4 10-5 ,10-6 ) M/L concentration Â at room temperature. The achieved results pointed out to an increase in the absorptionÂ  Â intensities with the increased concentration of R610 from(10-6,10-5 Â to 10-4Â Â  M/L the same thing for C480 which are found in agreement with Beer â€“ Lambert law and theachieved Results pointed that the absorption peak are moving toward short wavelengths(BLUE SHIFT) when increasing the ratio of concentration.Â Â Â
Evaluating Extreme Value Rainfall Using Mixed Exponential Distribution with Advanced Weather Generator
Authors: O Noorshazwani , A Norzaida , A.H Syafrina
Published: July 2024

Changes in rainfall regime is one of the factors that is used to determine the impact of climate change. Climate change substantially impacted human societies and the natural environment with the many occurences of extreme weather events, namely rainfall variation, floods, droughts and rainstorms. In tropical countries such as Malaysia, the occurrence of extreme rainfalls has become more common in recent decades. Advanced Weather Generator (AWE-GEN) which uses meteorological data as input has the potential in predicting extreme events. The aim of this study is to propose and integrate the mixed exponential distribution in representing rainfall intensity using AWE-GEN model and evaluate the ability of the newly developed model in simulating extreme rainfall. Parameters of mixed exponential distribution theoretically represent light and heavy rainfall. The study site is Kemaman, Malaysia which is often affected by flood. Model input uses historical meteorological variables of forty years (1975 - 2015) at hourly scale, specifically precipitation, air temperature, relative humidity and wind speed. Results indicate the AWE-GEN model with mixed exponential distribution is capable of generating rainfall series very well and also able in capturing extreme rainfall events. The estimated parameters obtained revealed that the wet hourly series at study site is mainly dominated by the heavy rainfall at short duration. The outcome of this study could potentially be used in providing invaluable input to authorities requiring detailed rainfall data for planning and forecasts purposes.Â Â Â
An Interview-Based Approach to Elicit User Interface Design for Web Applications
Authors: Atikah Shamat Nur , Sulaiman Shahida , Sudah Sinpan Jacline
Published: July 2024

Elicitation of user interface design for Web applications is a process to gather precise information from users to aid software engineers in designing the user interface according to usersâ€™ wants and needs. There are several issues that are related to the user interface design if they do not fulfill usersâ€™ expectations. For instance, software engineers misunderstand what users need and lack of information from users about the requirements to design the user interfaces. Thus, the elicitation of user interface design is vital in order to reduce the problem especially for Web applications. This research proposes an interview-based approach to elicit user interface design for Web applications. A prototype tool has been developed to help software engineers elicit the user interface requirements from users precisely. The evaluation shows that the proposed approach has the possibility to reduce the misunderstanding in user interface design with the focus on input control elements.Â Â
Role of Dietary Sources of Unsaturated Fatty Acid on Growth Performance, Fat Deposition and Meat Quality of Broiler: A Review
Authors: Khatun J. , C. Loh T. , Akit H. , L. Foo H. , Mohamad R.
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 Â
Artificial Neural Network Forecasting
Authors: Talib Bon Abdul , See Hui Hew
Published: July 2024

Zero defect as a goal for the manufacturing sector especially when the factory engage in global market which the market is required a highest grade quality product. A defect will occur when it is fail to meet the intended design. Hence, defect prediction methods play an important role to forecast the number of product defect. For this study, Artificial Neural Network (ANN) used to forecast the product defect in furniture manufacturing in in order to develop a well suit ANN model for the product defect prediction and obtain an accurate prediction defect number for decision making. Colour defect as one of the product defect category. Therefore, data of colour defect was collected within eight (8) working hours for fourteen (14) days and the analysis process carried out by MATLAB R2015a application using the neural network toolbox. The neural network framework for the colour defect prediction was developed with the minimum error. The company is able to conduct prediction process with the framework and make a better decision based on the result in order to reach their goal.Â Â Â
Development of Smart Monitoring and Control System for Standalone Microgrids with PV Generation based on Everyday Power Consumption
Authors: Chun Kyunghan , Koo Bonhyeok , Lee Dongsu , Kim Bonghwan
Published: July 2024

In this paper, we propose a development of smart monitoring and control (SMC) system for Microgrids (MGs) with photovoltaic (PV) generation based on everyday power consumption.Â  Since their introduction, microgrid systems have attracted both the utility and public interest as they represented autonomous structures for generating, delivering, and distributing clean and sustainable electric energy to loads and/or utility grids. A microgrid system is generally defined as an independent combination of generating units, storage units, and loads, and can be interconnected to a utility grid as a single entity. We develop SMC for a microgrid with PV generation based on the everyday power consumption, so the microgrid can be operated within specification and prevented from the battery over-discharging. As a result, the battery lifetime also keeps longer.Â Â
Microstructure And Electrical Study Of Biopolymer Based On Methylcellulose For Solar Cells
Authors: M.S. Nurhaziqah A. , Q. Afiqah I. , A. Nik Aziz N. , Hasiah S.
Published: July 2024

The purpose of this research is to study effect of the addition of a various wt% of manganese chloride (MnCl2) salt on the methylcellulose (MC) biopolymer electrolyte.Â  The biopolymer electrolytes were prepared by using casting technique.Â  It is also thoroughly characterized of microstructure and electrical properties of the samples by using Fourier transform-infrared (FTIR) spectroscopy, X-ray Diffraction (XRD), Electrical Impedance Spectroscopy (EIS) and Linear Sweep Voltammetry (LSV).Â  Besides, the highest conductivity is sample MC:20wt%MnCl2 with value 0.74X10-6 Scm-1 measured by EIS.Â  The sample also achieved the excellent power conversion efficiency which is 0.31%.Â  It is augmented from the microstructure properties which are proved that the enhancement of the conductivity depends on the increment of the amorphous nature region and the complexation between MC and MnCl2 salt by XRD and FTIRÂ
Comparison of Loss Characteristics of Coaxial Magnetic Gear According to Three Types
Authors: Lee Jeong-In , Shin Kyung-Hun , Bang Tae-Kyoung , Choi Jang-Young , Kim Kyong-Hwan , Hong Keyyong
Published: July 2024

Background/Objectives: Recently, there has been a problem of instability in rare earth prices worldwide. Due to these problems, various structures are being studied to minimize the use of permanent magnets.Methods/Statistical analysis: In this paper, we analyze the loss characteristics of three different types of coaxial magnetic gear (CMG)s using two - dimensional finite element analysis.Findings: This paper, 3 types of CMGs have been analyzed by using the 2-D FEA. The shapes used for the analysis are three types: Surface mounted coaxial magnetic gear (SMCMG), Consequent pole coaxial magnetic gear (CPCMG) and Reluctance coaxial magnetic gear (RCMG).The three types of gear ratios are all seven. For CPCMG and RCMG, the maximum torque is reduced as compared to SMCMG as the permanent magnet usage decreases. However, in case of loss, CPCMG is advantageous for PMloss and RCMG is for coreloss. The efficiency of SMCMG is advantageous, although the three types do not have much difference.Improvements/Applications: Through the two - dimensional finite element analysis, the results of analysis of the losses occurring in three types of magnetic gears were obtained.Â Â
Comparative Analysis of Optimizer Methods for Machine Learning Algorithm using Search Keyword Ad Data
Authors: Park Hyunhee , Ji Minjun , . .
Published: July 2024

A searching for specific keywords through an online web searching platform (e.g., Google or Naver) is one of the most popular search mechanisms. Therefore, an advertisement on the online web searching platform has become one of the representative advertising marketing mechanisms. In order to advertise a specific keyword, it is necessary to pay the web-search-word to the online web searching platform and participate in the bid system. However, since the ads of online web searching platform are operated privately, it is quite difficult to know the bidding price of specific keywords. In this paper, we compare analysis results of machine learning algorithms with various optimizers to find the targeted rank of specific keywords and the desired ranking on the online web searching platform by using the machine learning algorithms. Particularly, it is quite important to find an appropriate optimization mechanism for the machine learning algorithm because it can derive different results of the applied machine learning algorithm according to the optimization mechanism. Therefore, we propose an appropriate machine learning algorithm with various optimizers by analyzing the web-search-word advertisement data. The ANN of deep learning and regression (i.e., linear, logistic, softmax regressions) algorithms are applied for the machine learning algorithms. In addition, we applied the optimizer mechanisms of Adam, Adagrad, Gradient Descent, Momentum and RMSProp to these algorithms. Extensive simulation results show that the Adam and Adagrad optimizer mechanisms have high test accuracy rate. Specifically, it can be seen that each optimizer mechanism shows quite difference in accuracy rate according to learning rate. Finally, it is necessary to analyze the machine learning algorithm applying various optimizer mechanisms to present the bidding price prediction model of the web-search-word advertisement. In this paper, it makes it possible to predict the optimal bidding price for the web-search-word advertisement.Â Â
A New Graphical Password System Using Intersecting Points in a Signature
Authors: Yang Gi-Chul , . .
Published: July 2024

Background/Objectives: These days the most commonly used method of digital user authentication uses text-basedÂ passwords. Security enhancements using text-basedÂ passwordsrequire long and complex passwords, but long and complex text-based passwords are hard to remember and inconvenient to use. Therefore, authentication techniques that can replace text-based passwords are necessary. The objective of this paper is developing a user friendly graphical password system with strong security power.Methods/Statistical analysis: In order to develop a user friendly graphical password system with strong security power, the system developed in this articlecalled PassSign adapts advantages fromthe PassPositions system and signature recognition system. PassPositions system usie relative position information of click points and it is a recognition error free system with high usability. Signature recognition system has strong security power since it is hard to redraw someone elseâ€™s signature but error prone. PassSign takes signatures as passwords and use relative position information of intersecting points generated in an input signature to identify a certain userâ€™s signature for high usability andstrong security.Findings: There are various existing graphical password systems with there own advantages and disadvantages. Among the existing graphical password systems, signature recognition system has advantages of usability and strong security. It is, however, expensive to implement and error prone. PassPositions system also has advantages of reliability and usability, but has not good enough password space. PassSign system developed in this article removes all the disadvantages of those systems while all the advantages are remain.Improvements/Applications: This article introduces a new graphical password system called PassSign. PassSign took advantages of existing graphical password systems and it is user friendly and recognition free with strong security power. Also, PassSign is a light and inexpensive user authentication system which is suitable for various mobile devices with relatively small memory space.Â Â
An Investigational Study on Cloud Security Model and Data Privacy Schemes
Authors: M H Chaithra , Vagdevi S Dr.
Published: July 2024

At present, cloud computing receiving more attention to the users as well as researchers. It is growing technology which showing more reliable development in the current processing world. It is increasingly popular by offering distinctive administrations like cloud facilitating, storage furthermore, servers and so on for various kinds of organizations as well as in scholastics. On the other hand, there are a few difficulties concerning distributed storage security and information protection. Security is as yet difficult in the distributed computing framework. Such difficulties incorporate loss of client's delicate information, spillage of information and revealing of clients mystery information. By considering these security and information protection issues inside the cloud foundation. This investigation for the most part audits the diverse security and protection difficulties, and arrangements. Additionally, this paper highlights the possible opportunities for storage security and data privacy in distributed computing environmentÂ Â
Efficient Big Data-Based Access Control Mechanism for IoT Cloud Environments
Authors: Jeong Yoon-Su , Kim Yong-Tae , Park Gil-Cheol
Published: July 2024

Background/Objectives: Recently, the data using in the internet had processed through the network every day, and cloud services related to IoT are increasing rapidly. In particular, the cloud service related to IoT has been transformed into an era in which data is generated and processed by an individual centered around the enterprise in the past. However, the use of mobile phones and IoT technology had diversified, and the demand for computational cost and accuracy has increased.Methods/Statistical analysis: we propose access control method based on big data that can process various attributes of data in block in IoT cloud environment. The proposed scheme aims to minimize the service latency of users by extracting the security parameters Â of each data by attribute and converting them into pairs with polynomials. In the performance evaluation, we had fined that the data processing time was 7.2% higher than previous scheme and the data processing rate was 9.7% higher than previous scheme. The accuracy according to the type and size of the different data improved by 18.1%. IoT cloud server and user communication delay was 8.5% higher than previous scheme. Finally, the server overhead reduced by 5.8%.Findings: We propose a method that can access verified data without delaying the data by constructing data into subnets and then applying the security parameter Â of the data constituting each subnet to -bit and applying it to the polynomial coefficients.Improvements/Applications: In future research, proposed scheme can be applied to various services related to large-scale data access in the cloud environment.Â Â
A Novel Compact Ultra-Wideband Antenna with Hybrid IE3D/GA Optimization
Authors: Subbarao A. , Sreedhar K. , Raghavan S. , Gayatri N.
Published: July 2024

A novel compact Ultra-wideband antenna is fabricated and measured. The antenna has a size of 31 mm x 34 mm. The antenna is excited by coplanar wave guide and it provides band width from 3.1 GHz to 10.6 GHz with dual notched bands of 3.3-4.2 GHz and 5.1-6 GHz to avoid interference from worldwide interoperability for microwave access and wireless local area network bands respectively in ultra-wideband. These dual notched band characteristics are obtained by etching a co-directional complementary split ring resonator on radiating patch of the antenna. The antenna dimensions and dual notched bands are optimized by hybrid Genetic Algorithm and IE3D electromagnetic solver. The measured antenna has Omni directional radiation pattern and consistent gain in operating frequency range.Â  The time domain group delay of antenna is also measured, which indicates that the antenna has good pulse handling capacity. This antenna can be easily integrated with portable UWB systems.Â
A Novel Compact Ultra-Wideband Antenna with Hybrid IE3D/GA Optimization
Authors: Subbarao A. , Sreedhar K. , Raghavan S. , Gayatri N.
Published: July 2024

A novel compact Ultra-wideband antenna is fabricated and measured. The antenna has a size of 31 mm x 34 mm. The antenna is excited by coplanar wave guide and it provides band width from 3.1 GHz to 10.6 GHz with dual notched bands of 3.3-4.2 GHz and 5.1-6 GHz to avoid interference from worldwide interoperability for microwave access and wireless local area network bands respectively in ultra-wideband. These dual notched band characteristics are obtained by etching a co-directional complementary split ring resonator on radiating patch of the antenna. The antenna dimensions and dual notched bands are optimized by hybrid Genetic Algorithm and IE3D electromagnetic solver. The measured antenna has Omni directional radiation pattern and consistent gain in operating frequency range.Â  The time domain group delay of antenna is also measured, which indicates that the antenna has good pulse handling capacity. This antenna can be easily integrated with portable UWB systems.Â Â
Emotional Intelligence and Organisational Citizenship Behaviour Using Structured Equation Modeling Approach
Authors: Jakulin Divya Mary P. , Rajini K.
Published: July 2024

This paper focuses on deriving a model showing relationship between the Emotional Intelligence and Organisational Citizenship Behaviour.The model fits good for nurses who need to be emotionally intelligent and also show citizenship behavior towards the organization while dealing with patients, peer groups and supervisors.Study population were nurses working in a tertiary care hospital in Chennai. Sample size taken for the study was 100.Â Â Â
Emission of CI Engine Using FeCl3 and Diethyl ether as Additives
Authors: P. Patnaik P. , K.Acharya S. , K.Mishra S.
Published: July 2024

Improving the performance of IC engine and reducing the toxic gases by applying the advance technology is the main key to safe guard the nation economy and health. The present investigation is to compare the emission of the single cylinder four-stroke diesel engine by adding proper additives ferric chloride (FeCl3) and diesel-diethyl ether (DEE) with diesel. The investigation defeats that Diesel-DEE15 combination has show the lowest HC and CO emissions except NO emission.Â Â Â
A Study on People Perception of Digital India
Authors: Rekha M , R. Shanthi Dr.
Published: July 2024

This primary research was conducted to explore the perception of Indian citizens with respect to the Government of India flagship program such as digital India initiative. This campaign was initiated by Honorable Prime Minister of India Shri. Narendra Modi Ji on July 2015. This program has three components namely digital literacy, digital infrastructure and digital economy. The present study was descriptive and analytical nature to examine the people perception with respect to digital India initiative. The result indicates that Indian citizens are poses higher awareness on digital India campaign and they are practicing in their day to day life for the betterment of India economy through digital transformation of the country.Â
A Glimpse on Iceberg Query Evaluation Techniques
Authors: V. Chandra Shekhar Rao V. , P. Sammulal Dr.
Published: July 2024

Queries are required to determine distinct quality worthâ€™s and also their accumulation that is over a predefined limit from this significant variety of documents. The information keeping as well as getting are playing a significant function in the information clustering and also information warehousing methods. The performance of an information retrieving approach relies on the information details queries for getting the information from the data source. Iceberg query is an one-of-a-kind course of gathering query, which calculates accumulation worthâ€™s over a provided limit. The queries which are having this sort of nature are called as Iceberg( IB) queries.Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â  Existing data source system perform it similar to typical query so it take even more time to implement. It is difficult job to essence fascinating as well as crucial details promptly from big data source. Great deals of research study has actually been done to raise the rate of IB query. Initially scientists makes use of tuple check strategy to perform IB query which is time consuming and also need even more memory. To get rid of these troubles scientists recommended IB query examination utilizing Bitmap Indexing strategies. This method prevent total table check so time called for to carry out IB query is decreased as well as memory demand is likewise lowered.Â Â
A Low-Cost Instrument Based on Thick Film Sensors for Measuring Water Conductivity and Temperature
Authors: Wiranto Goib , Dewa Putu Hermida I. , A. Prabowo Briliant , V. Manurung Roberth , Widodo Slamet , P. Aji Gilang , Rahajoeningroem Tri
Published: July 2024

This paper describes the development of a portable instrument for measuring the conductivity and temperature of water. The system consisted of thick film sensors fabricated on alumina substrates using screen printing technique, and Arduino microcontroller to process and display the measured water parameters. The conductivity sensor was designed in a four-electrode configuration using AgPd conductor with a cell constant of 0.2 cm-1, whereas the temperature sensor was screen printed using RuO2 paste. The system has been tested to measure the conductivity of various water samples, including river and drinking water, and comparison with a commercial system demonstrated an error of less than 2.4 %. The maximum conductivity value that could be measured was under 2000 mS/cm, which makes the system suitable for monitoring of general drinking water and domestically polluted river water.Â
An Adaptive Offloading Framework for Improving Performance of Applications in IoT Devices Using Fuzzy Multi Criteria Decision Making
Authors: Wibisono Waskitho , Widhi Pande Putu Mahaputra , Ahmad Tohari , Anggoro Radityo
Published: July 2024

The recent advances of Internet of Things (IoT) technologies have changed the requirements of IoT device to not only provide basic sensing and communication services but also of executing more complex applications with different goals. These challenges have highlighted the need to provide high computation capability in IoT devices. However, common limited resources in IoT devices bring challenges to support application requirements as well as to deal with limited computation resources. To address with this problem, computation offloading can be applied. In this approach heavy computational tasks can be transferred and executed in the cloud computing service to get the result. However, sending heavy computational jobs along with the data to the cloud server are not always efficient, especially where the mobile environments where network performances may changes unpredictably. This paper proposes a prototype of smart offloading framework designed to work in IoT devices using the Fuzzy Multi Criteria Decision Making as the decision tool. The decision whether the job execution will be done in the IoT device itself or being uploaded to the cloud computing server is done by considering internal and external factors such as current network conditions. The smart offloading framework prototype has been developed and tested in a real IoT device. The experiment results showed that the smart offloading approach can improve the performance of applications running in an IoT device by deciding location of job executions in dynamic situations with good results.Â
Characteristic of Husk Charcoal, Bokashi Compost, and Wood Charcoal as Biofilter Filler on Application of Ammonia 5 Percent
Authors: Juliana Siregar Mia , . .
Published: July 2024

Bio-filter has been widely used as one of methods to remove odorous gas, because of inexpensive, easy, and can remove the odour perfectly. This research has been conducted in order to determine the best physical of characteristic of bokashi compost, husk charcoal, and wood charcoal toward the adsorption of ammonia and compositions of such materials. 5% of Ammonia solution has been used to the physical characteristic of packing material. Some methods which use was water content and density, porosity, pressure drops, Water Holding Capacity (WHC), Pollutant Holding Capacity (PHC). Data were analyzed by ANOVA statistic test with error value 5% and continued with Duncan Test. From the physical experiment, by performance ranking shows husk charcoal is better than wood charcoal, and compost. Husk carbon shows the highest porosity, availability in hold water and air, PHC, and pressure drops. Husk carbon can adsorb 1.18x10-3 g-N/g bk of ammonia. Treatment of material composition with a ratio of (K212) shows that it is the best composition in ammonia absorption. This is evident from the water content of K212, lower pressure drops, PHC of 1.8x10-4 g-N / g bk. The conclusions are husk charcoal can be used as an alternative material absorbent of ammonia pollutant which is good enough seen from its physical character and the addition of wood charcoal as a filler composition can improve the physical character of the material as a filler on the mixture of compost material bokashi and charcoal husk.Â Â
Prediction of Automotive Component Load Configuration Using Best Fit Life Distribution
Authors: Asri Yusuff Mohd , Arifin Zakaria Kamarul , Ahmad Azrulhisham Engku
Published: July 2024

An extreme event such as strong shock resulting from a violation of the hole or a large object on the road can cause damage to vehicle components. As such, the study needs to be done to address the behavior of failure data using the fatigue life and reliability characteristics of extreme fatigue life failure statistical approach. The study also be done by developing a characterization of life distributions based data and configuration best match load to allow a generalized prediction. The research involves testing the fatigue life and cyclic strain fatigue life data generation using Monte Carlo simulation based on the parameters of probabilistic stress cycle curve. Features for all parametric distributions were analyzed by the method of maximum likelihood estimation (MLE) for the generalized extreme value distributions. Assess the suitability of the life distribution for the reliability of extreme fatigue life can be seen through a probability density function. This study found that the developed method capable of predicting the relationship between the load configuration and shape of the distribution of a component failure studied. This approach can contribute to reduced time of experimental testing which is an emphasis in the production process components. This implication provides a particularly significant impact on the development of the automotive industry and enhance the manufacturing sector.Â Â
An EOQ Model for Deteriorating Items with Selling Price Dependent Exponential Demand for Time Varying Holding and Deterioration Costs
Authors: Kumar Verma Sachin , Rizwanullah Mohd. , Singh Chaman
Published: July 2024

Research investigation of the past few decades shown that the researchers developed economic order quantity (EOQ) model for perishable items under constant deterioration and constant demand. Though, in actual practice it is not true. This paper involved a representation of an inventory control model, in which perishable items has been taken with a price as well as an exponential dependent demand. The measured items in the model are deteriorating in nature based on time dependent deterioration rate. In the earlier studies the holding cost often treated as a constant, which is not suited to the most of the practical life situations. In real practical situation some kind of items treat holding cost is a function of time, which is increase as the time increases. In this paper, a model is developed which included the time dependent linear holding cost. We have achieved the estimated optimal solution under the given assumption according to the situation. A numerical example is presented to demonstrate the model and the sensitivity analysis of various parameters is approved out for the validation of the proposed method.Â Â
Development of Nighttime Vehicle Detection System using 5-stage Cascade Classifier
Authors: Venkatasubramanian Ranganathan , M Elangovan
Published: July 2024

There is one death in every four minutes due to road accidents in India. This paper is a contribution towards the development of Advanced Driver Assistance Systems such as overtaking assistance system, Adaptive cruise control system, etc., which in turn could reduce the number of road accidents. This paper proposes a three-step method to detect the vehicles in front during nighttime in one-way road. In the first step, the classifier is trained with negative samples and Region of Interest (ROI) marked positive samples. In the second step, input images are acquired and enhanced. In the third step, the enhanced input images are fed into the trained 5-stage cascade classifier, where the vehicles in front are detected and visually presented. This method can detect the vehicles in front during nighttime in one-way road with 65.6% accuracy.Â Â Â
Energy Generation using Magnetic Repulsion
Authors: Shivarudra Swamy R. , N.S Jayalakshmi. , Kumar Mohit , . Ujawal
Published: July 2024

This paper proposes a novel technology to convert the magnetic repulsive force available from permanent magnets to electrical energy using repulsion magnet technique. The proposed technology employs the theory of magnetic repulsion to generate the electricity. The system uses permanent magnets to produce repulsion and this repulsive force produces a torque, which drives a DC generator. The repulsive magnetic V channel consists of repulsive magnetic line of forces. The two channels repel each other, which create a force in the forward direction. The bullet magnet that is used is inserted into the channel and passed through a repulsive barrier and ultimately is placed in the repulsive part of the magnetic _field lines that shoots the bullet in forward direction. A belt coupler is coupled with the bullet and wrapped in the rotor of the dynamo. The torque produced by the repulsive forces will ultimately drive the dynamo, which will result, to electricity generation. It is almost free energy as the energy input is quite low and efficiency will be very high. This model requires no electrical input and works only on the forces of nature.Â Â
Performance of Piper Nigrum (Black Pepper) as Corrosion Inhibitor of Ductile Iron
Authors: Faizul Idham Mohd , Fathmi Masor Mohamad , Mohd Norzila , Abdullah Bulan , Khadijah Alias Siti
Published: July 2024

The effectiveness of Piper Nigrum as green corrosion inhibitor towards ductile iron in 1M Sodium Hydroxide was studied. Piper Nigrum, also known as black pepper had undergone extraction process in order to get the final product in the form of liquid which acted as inhibitor. The sample of this inhibitor was analyzed by Fourier Transform Infrared Spectroscopy (FTIR) in determining the bonding and the functional group of the inhibitor. Meanwhile, the capability of Piper Nigrum to inhibit corrosion was tested based on concentration of inhibitors by using the gravimetric method. Ductile iron was exposed to 1M Sodium Hydroxide which acted as corrosive medium and inhibitor concentration of 0.1, 0.2 and 0.3 g/L respectively for three hours at constant temperature of 50Â°C. In addition, there was one ductile iron which was exposed to 1M Sodium Hydroxide in the absence of inhibitor. The ductile iron was then visualized by the microstructure observation through microscope. As a result, FTIR had indicated that the presence of hetero atoms in alkaloids Piperine made Piper Nigrum to have an ability to inhibit corrosion. Besides, Piper Nigrum could achieve maximum inhibition efficiency of 97.97% while the corrosion rate was only 0.8059 mm/year at 0.3 g/L inhibitor. Furthermore, the concentration of inhibitor gave insignificant effect on the microstructure. However, the morphology of ductile iron microstructure had shown slight difference when the ductile iron was immersed in higher concentration of inhibitor. This had proved that the higher concentration of inhibitor, the less corrosion occurred.Â Â Â