bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of a 4-DOF Robotic Arm: Prototype Design
Authors: Farhan Mustaffa Muhammad , Liza Ahmad Shauri Ruhizan , Izzat Roslan Muhammad , Asyraf Idris Muhammad
Published: July 2024

This paper discusses the development of a prototype industrial robotic arm. This work is related to the previous project where a seven-degree-of-freedom (DOFs) three fingered robotic hand has been developed for grasping work. However, the working range for the task was just limited to within working range of the robot hand, thus a robot arm is required. The objective of this work was to determine the design of the robot armâ€™s link and joint, components and actuators. The 4-DOF robot arm has four joints to imitate a human upper arm namely joint 1, 2, 3 and 4 that rotate around x, y, and z axes, respectively. The joints move four arm links to get the required posture of the wrist that will be assembled with the hand in future application. The investigation of the components and mechanism was implemented to make sure that they matched in terms of the dimensions and capability to lift the load. DC geared motor with the calculated torque has been selected as the actuators of the four joints. Spur gear was chosen to increase the motor torque by 4:1 ratio due to the unavailability of higher torque low cost motors to lift 2.635 kg of the required payload. 3D mechanical design and simulation using SolidWorks software application were repeated several times to confirm the link-joint motion before the final design proceeds to the fabrication step. Fabricated arm was tested for movement using the control system from a separate study to observe the feasibility of the design. It can be observed that the joints and links were able to move according to their desired positions except joint 1 that is due to the heavy steel material of the spur gears that has caused misalignment of the gears during rotation. Replacing these gears with nylon or ABS material is expected to solve the problem in the next study. Overall, the constructed robot arm proved that the proposed design is able to achieve the design requirements and practically moved in several postures in real time. With minor modification, it will be a good reference for the development of the actual sized arm for the existing hand in the next study.Â
An Efficient Assistive Solution for Elderly Dementia Care
Authors: Jeeva A. , Gayathri K. , Arulselvi S. , Rajesh K.
Published: July 2024

Aging population is becoming a major concern of human society in the recent years. Elderly people suffering from Alzheimer and dementia have cognitive declines making them difficult in remembering landmarks in their outdoor navigational tasks. Therefore, disorientation and wandering become common for elderly people even in their familiar environments. Providing assistive guidance to such elders is a challenging task for caretakers as most of the elders prefer to live independently. Thus, there arises a need for detecting the disorientation of the elders in their outdoor navigation and alerting the caretakers in the account of either disorientation or wandering being detected. Further, elderly people can be provided with navigational assistance by mining through their previous historical trajectories and suggesting a location to which the elder has frequently visited at the time when the disorientation had been detected. In addition, a tool can be developed to analyse the level of cognitive decline by identifying the frequencies of different types of wandering patterns that might help to provide effective medication in the treatment of cognitive decline and guidance.Â Â
Upper Limit Superior and Lower Limit Inferior of Soft Sequences
Authors: Hasan Hameed Ahmed , Annon Mousa Ekhlas , Abdullah hamad Abdulsattar , . .
Published: July 2024

In this paper we have provided some of evidence work of the authors R.N.Hasan, O.A Tantawy in 2016 [1] thy given proof of the concept between two bound soft sets & subsets of soft elements real numbers also was concluded an upper bound and lower bound by using two sequences of soft element real numbers which isÂ  Â In this paper, supposed to extend R.N.Hasan, O.A Tantawy work but here we are given new notion and proof for upper limit superior and lower limit inferior with two sequences and subsequences for the conclude new proof after recalled that, which is upper limit superior and lower limit inferior By this we have proved above new two theorems and one proposition & strengthen the example.AMS Subject Classification: 06D72, 40A05, 54A40Â Â
Study of Different Features and Classifiers for Image Retrieval
Authors: Mahajan Arpana , Chaudhary Sanjay
Published: July 2024

With the advent of multimedia and imaging technology, lots ofÂ  Â images sharing and uploading over the internet have been increased. It instigated development of potential image retrieval system to satisfy the requirement of mankind. The content-based image retrieval (CBIR) system retrieves the desired image by low level features similar to color, shape and texture which are not enough to explain the userâ€™s high level perception for images. Therefore reducing this semantic gap problem of image retrieval is challenging task. Some of the concepts in image retrieval are keywords, conditions or text. Conditions are used by human to explain their information need and it also used by system as a way to stand for images. Here in this paper different types of features their advantage and disadvantages are described.Â Â
A New Scheme of Representing a Secret Message Using Second Quotient Remainder Theorem in Text Steganography
Authors: Osman Baharudin , Yasin Azman , Nizam Omar Mohd
Published: July 2024

Steganography is a method of concealing a secret message in a cover medium in such a way that the intruder is not able to detect the existence of the secret message. Due to extensive use of Internet and other communications media, the confidentiality and data integrity need a special means to protect it against unauthorized access. Several schemes were introduced by researchers to represent the value of a hidden message. The first scheme converts a secret message to ASCII code and is represented into x,y form which raises a redundancy representation for a repeating character of the secret message. The second scheme is using the octal value of secret message and converts it into a similar form. Another scheme modifies the previous scheme by adding a â€œ+â€ and â€œ-â€œsymbols. These techniques are resulted in the limited range of the x,y values, repeating representation and a difficulty on generating a stegotext. To overcome the problems, the proposed scheme represents a secret message with a various representation and converts it into x, y, z form. A Second Quotient Remainder Theorem is used to converts the value to x, y, z forms. As a result, the range of the new representation is increased.Â Â
FEA Analysis of S-PMSG for Aircraft Application
Authors: Thangaraj Bharathi , Arumugam Deepak , Somasundaram Gomathi
Published: July 2024

In this work the performance analysis of Spoke type Permanent Magnet Synchronous Generator (S-PMSG) also called buried type PMSG is presented for aircraft application. The analytical design of the generator is carried out using design equations and it is verified by RMxprt software. The simulation analysis of the generator is performed by finite element analysis software. The coupled transient electromagnetic field and thermal analysis of the generator is carried out to find the load voltage, load current, cogging torque, heat generation and thermal heat flow. Finally, the overall performance of the analytically designed generator is compared with the simulation results.Â Â
Data Privacy and Confidentiality in Data Breach on Cloud Computing
Authors: Shahzad Faisal , Din Roshidi , Ghazali Osman
Published: July 2024

The preservation of data security in cloud environment has been identified as one of the key challenges in the field of cloud computing. The breach of data privacy and confidentiality has decreased the shift of enterprises to the cloud environment. However, there is currently no single definition of the concepts of data privacy and data confidentiality that could be generalized. Existing definitions of data privacy and confidentiality are complex, ambiguous and interchangeably used. This lack of clarity leads to confusion and potentially to ineffective and inefficient efforts to secure privacy and confidentiality of data from breach. The aim of this study is threefold. Firstly, this paper tends to explores the existing definitions of data privacy and data confidentiality in cloud computing. Secondly, it purports to examine the association of data breach with data privacy and confidentiality. Lastly,it proposes new operational definitions in order to differentiate between the concepts of data privacy and data confidentiality and data breach. The studies suggested that the concept of data privacy and data confidentiality in cloud computing is closely related and both are prone to breach within cloud security domain. Therefore, devising strategies and techniques to secure privacy and confidentiality of data can ultimately results in reduction of data breach.Â Â
Investigating Issues and Challenges in Utilising WAQF Property
Authors: Abd Mutalib Hasyeilla , Maamor Selamah
Published: July 2024

Waqf property which is a proper, efficient, well managed and organized will give a positive impact to the community especially on socio-economic aspect. Besides, it will also portray the optimum utilisation of the waqf property by the mutawalli in upholding their responsibility. In Malaysian scenario, waqf property is managed and administered by the State Islamic Religious Council (SIRC) who is acting as a sole trustee at the state level. Currently, there are 14 SIRCs who play their role in managing and administering the waqf property. Even though each SIRC plays its role, there are still unutilised waqf property due to several issues and challenges. Therefore, the purpose of this paper is to reveal the issues and challenges faced that lead to the unutilised of waqf property. A qualitative method is employed in this study using library search as well as semi structured interview on the selected SIRC in the Northern Region of Malaysia as a case study. The study revealed that there are four main issues and challenges that contribute to the unutilised of the property such as non-strategic of waqf property location, lack of fundraise, building orientation which is not suitable, and lack of infrastructure and facilities. The findings of this study are hoped to contribute towards better utilisation of waqf property planning for the benefits of ummah social-economy.Â Â
A Novel Approach for Testing Benchmark Functions using Biogeography based Optimization (BBO) Algorithm
Authors: T R Kalaiarasan , Anandkumar V. , Kumar A  M Ratheesh , Keerthika T.
Published: July 2024

Biogeography is the science and study of geographical distribution of biological organisms. BBO is a traditional algorithm that maximises efficiency, based on the mathematical aspects of biogeography. The project aims at sharing the probable features between solutions and fitness values that are represented as immigration and emigration between islands. BBO is similar to biological optimization methods i.e. Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) that carries features which are unique. The proposed algorithm of BBO provides a solution to many that uses GA and PSO. This paper demonstrates a performance of the proposed BBO with a set of well known standard benchmark functions.Â Â
Planning, Conducting and Reporting the Review of Employability using Data Mining and Predictive Analysis
Authors: Tan KianLam , Azziaty Abdul Rahman Nor , Lim ChenKim
Published: July 2024

A new research involves the collection and analysis of several research papers and it requires systematic methods of identifying the gaps and generating reliable evidence as a whole. Research questions can be drawn through the results of a systematic study that summarizes the overall research thoroughly. This paper aims giving an exposure on the systematic review used in the study of graduates' employability using data mining techniques and predictive analysis. Three main processes; (i) planning, (ii) conducting and (iii) reporting the review have been conducted to answer the research questions on predictive analysis conducted on the problem of employability among the fresh graduates. The methods of the review and specifies the research questions described through a review protocol involving three main databases; (i) Scopus, (ii) ScienceDirect and (iii) Web of Science. A total of 120 journal articles are classified into three main categories through taxonomy analysis. The results of the study are discussed in three main aspects; (i) challenges, (ii) motivations and (iii) recommendations while the research interest of the analysis results is critically formulated under critical review.Â
Forecasting of Cotton Yield with Fuzzy Information
Authors: D T Mukhamedieva , X.A Primova , R.T Raximov
Published: July 2024

The models of cotton yield forecasting using methods of fuzzy mathematics are considered. In the paper, the economic system as a human-centered, realistic multiagent system characterized by incompleteness and partial reliability of information is considered. Representation of the behavior of economic agents in our approach is based on fuzzy logic and is given by inaccurate constraints.Â Â
Usability Guidelines for Designing Mobile Apps User Interface for Children with Autism: a Systematic Literature Review
Authors: Mohamad Sofian Nadiah , Sobri Hashim Ahmad , Fatimah Wan Ahmad Wan
Published: July 2024

In the recent years major advancement in technologies that support the children that have been diagnosed with the autism. The increasing number of application is to enhance their ability in communication, understanding, and interface with others. There are over 200 mobile applications for autistic children that can be found in the current market. However, these mobile applications did not use standard guidelines which cause some difficulties to use and learn by the autistic children. This is because of the lack of usability guidelines for mobile application which are relatively unexplored and unproven. There are 142 publications obtained by the automatic searched and 23 relevant studies have been selected as the primary studies. The process was achieved with manual searches using keywords and snowballing techniques to identify the usability factors. This systematic review investigates on the study of the existing usability factors that frequently have been used in designing mobile application for autistic children. It was found that understandable and appearance were included as the usability factors due to their relevancy towards the characteristics of the autistic children. The results are useful for future enhancement in this field to develop usability guideline in designing mobile application user interface in different fields.Â Â
An Efficient Model for Secure and Scalable Health Log Management in Cloud using EH-ABE
Authors: Dhanapal R. , Visalakshi P. , G.Parthiban K.
Published: July 2024

Cloud computing is a significant computing archetype from which the resources of the computing framework are afforded as on-demand services over the Internet. Considering the advancements of cloud, so many applications based on Health Log Management (HLM) are being developed. Though this paradigm is promising, it also bears many challenges on security and access control of data when it is shared over cloud server. Applying cryptographic methods is an effective way in order to make the sensitive data more confidential from unauthorized parties. That is, to ensure better access control to patientâ€™s health log shared on cloud, it is vital that the records to be encrypted using an efficient technique before outsourcing. Moreover, while focusing on fine grained access control in shared health log, the main consideration has to be on scalable key management and access flexibility. With those concerns, an efficient model has been proposed in this paper using cryptographically enforced security mechanisms. Enhanced Hierarchical-Attribute Based Encryption (EH-ABE) is the technique used here to encrypt the patient/ data ownerâ€™s health log and it effectively helps to obtain secure and scalable access control on the shared health log. As a novel try in secure data storage, multi data owner model has been accomplished here. This scenario classifies the owners in HLM into collective security domains that significantly minimize the complication in key management both in owner and user sides. And the experimental analysis portrays that the affirmed work considerably reduces the computation complexity, memory and time utilization, and also enables security, flexibility and scalability on Health Log Management in an effective manner.Â
Proportional Resonant Controlled Shunt Active Filter in IEEE Thirty Bus System with Improved Dynamic Time Response
Authors: Dhandayuthapani S. , Anisha K.
Published: July 2024

This paper points on enhancing the dynamic time reaction of a Wind Energy- Conversion System (WE-CS) associated with IEEE thirty bus system utilizing Permanent Magnet-Synchronous Generator(PM-SG) in closed-loop controlled-active-power-filter with PR. This paper manages modeling and simulation of IEEE Thirty bus system utilizing PR based shunt active filter. The shunt active filter is actualized with voltage source inverter (VSI) and the switching pulses are produced utilizing PR controller. The simulation comes about are introduced to discover the impact of shunt active filter utilizing PR controller. Open loop controlled thirty bus system with change in voltage is reenacted. The simulation comes about with PI and PR controller based SAF are looked at and the relating time-domain parameters are exhibited. The outcomes show that PR Controller system has preferable reaction over PI controlled system.
Impact of Converter Topologies on the Performance of Permanent Magnet Brushless DC Motor
Authors: Sivaranjani S. , C.Ramya K. , Sheebarani S. , Karthika J. , Gomathy V. , Subha Lakshmi N.
Published: July 2024

Comparative merits over AC motors leads to replacing of other electrical motors by DC motors in applications stretching from high-speed automation to electric motorbikes. However, brushed DC motors are popular for applications where speed needs to be varied or torque needs to be controlled precisely. Because of higher performance and/or reliability, Brushless DC motors are preferred rather than brushed one. Moreover typical brushed DC motor is exposed to sparking during commutation. Electronic commutation via power converters in BLDC motors replaces the mechanical commutation of typical DC motor. It is essential to understand the impact of these converters on the performance of BLDC motors. Hence this paper presents a comparative analysis of various power converters fed Brush Less DC motor.Â  The simulation results show that the impact of power converters on the enactment of BLDC motor.Â Â
Evaluation of Selected Varieties of a cotton in the Conditions of Fuzzy Initial Information
Authors: B.T Solieva , M.D Sotvoldiev , A Kxudayberganov
Published: July 2024

One of the applied problems of decision-making under conditions of uncertainty, called tasks of making weakly structured decisions, is considered. The essence of this task is to choose the most acceptable variety of cotton from a given set of crops, providing optimal values for agrotechnological parameters (yield, length and strength of fiber, oil content, etc.) in different initial conditions: sowing, cultivation, growing and harvesting. The initial conditions are of a non-quantitative, incomplete, linguistic nature (collectively referred to as fuzzy source information) and are represented in the form of logically interconnected linguistic expressions.Â Â
Optimized Leasing on Mobile Devices using Dynamic Programming
Authors: Anandkumar V , T.R Kalaiarasan , A M Ratheeshkumar
Published: July 2024

Now a dayâ€™s all advanced mobiles uses mobile data to retrieve content from remote server through user requested queries. The request processed on the mobile devices reduces the available battery power to a significant extent. The processing of user queries at remote server gets very low response during the huge query transmission due to communication delay. In a network used mobile station scenario, the service provider is deployed by the mid network nodes with leasing capability. Leasing is the process of borrowing some resources to the mid network from the service provider. The processing cost in the mid network is low. The user queries should be processed before identifying the intended content from the remote server. The computation power used for leasing improves the response time by reducing the use of battery power on mobile devices. The low leasing cost reduces the traffic in the remote server. The response time taken to download the content from the mid network has been experimentally analyzed.
Predict Stock Prices using Neural Networks with Historical Stock Prices
Authors: V. Ramalingam V. , Sharma Vaibhav , Pandian A.
Published: July 2024

Stock markets have always intrigued researchers in industry as well as in academia. Some researchers consider stock price movements completely random. Many scholars have attempted to predict stock price using various sources of data available (like historical stock prices, news articles, twitter data, so on), by applying indigenous methods. Predicting stock prices is a regression task, many conventional techniques have been used to predict stock prices. In recent years, the neural network approach has risen to tackle the problem. The neural networksâ€™ approach has been used to predict the stock prices and stock indexes.Â Â
Predicting the Blood Sugar using Machine Learning Approach
Authors: V.Ramalingam V. , Pandian A. , Manikandan K. , Mega Samala Roobanvaikundaraja Neela
Published: July 2024

Background/Objective: This study is performed for predicting the blood sugar level by machine learning classifier techniques and identifies the best techniques among the techniques. Diabetes mellitus known as Diabetes caused due to increase in the blood glucose level. This will be impacting the pancreas and will be affecting the body beta cells. The beta cells play the major role in converting the glucose into energy. If the blood glucose remain undiagnosed for longer tenure, can cause various health complications like cardiovascular diseases neuropathy, nephropathy, organ failures and Eye disease. Diagnosing the sugar level in the earlier stage can help to prevent and control the health issues and save our life. Methods/Statistical Analysis: There are many classifiers already available in the computerized system. This analysis is to compare and identify the best classification technique between the classifier techniques like NaÃ¯ve Bayes (NB), Decision Tree (DT), Support Vector Machine (SVM), Classification and Regression Tree (CART), K â€“ Nearest Neighbour (K-NN) and C5. Findings: In 2017 the International Diabetes Federation had anticipated that 50% of the people in the world with the age group of 20 to 79 are not worried about their Diabetes and not aware that they may be impacted by Diabetes in near future. It also explained that 76.5% of Diabetic patients are from very low-income countries. These are not yet diagnosed if you really speaking that they donâ€™t know that they have Diabetes. So, there is a need to diagnose and monitor the diabetes to support and help them to cure it. Keeping that in mind there are various classification techniques used to predict the diabetes. The main objective of this study is to make a comparative study and identify the best classifier which is consistent among the various datasets. The datasets used for this comparative study is University of California, Irvine machine learning repository (UCI) and PIMA Indian Diabetes Dataset. Application/ Improvements: In this study, the R-Studio application tool is used for developing and comparing the classifiers.Â Â
Analysis of Writer Styles in Punjabi
Authors: Pandian A. , Wahi Stephen , Tokas Yash , Manikandan K. , V.Ramalingams V.
Published: July 2024

Author Identification alludes to the issue of distinguishing the creator of a mysterious content. From the machine learning perspective, this is a solitary mark content arrangement assignment. This errand is done on the supposition that the creator of an obscure content can be separated by looking at a couple of lexical highlights extricated from that obscure content with those of writings having known writers. In this paper, Authorship Identification process is connected on Punjabi verse dataset comprising of Punjabi ballads composed by 5 unique writers. Different highlights extensively ordered as measurable (word-check, roast tally, and so forth.), linguistic (i.e. lexical) and semantically (dialect subordinate) are first chosen utilizing the J48 Decision Tree Algorithm. They chose highlights are thusly, utilized as a contribution to the J48 classifier and the approval of the proposed framework is assessed based on Precision, Recall, F-score and Accuracy.Â Â
The Problems and Challenges of Infeasible Paths in Static Analysis
Authors: Wasef Marashdih Abdalla , Fitri Zaaba Zarul , M. Almufti Saman
Published: July 2024

Static analysis is valuable because it imparts the ability to examine all program paths. However, many of these paths are classified as infeasible paths, which signify that these paths will fail to execute. In static analysis, these paths will lead to results that are high false positive. Because static analysis has a vital part in the detection of vulnerabilities and threats in the software as well as in program analysis, improving static analysis is necessary to obtain accurate results and lessen the occurrence of false positive results. Being able to detect infeasible paths is useful in the improvement and development of the results of static analysis. However, the process that is used to identify these infeasible paths is not simple, especially because numerous tools and methods still do not have the efficiency in detecting these kinds of paths within the static analysis. This paper will review the infeasible paths problem in the static analysis, the new methods of solving this problem, and the reassessment of this vital issue in software testing. This paper will also discuss the importance of exposing and getting rid of these paths.Â Â
Regression Testing Systematic Literature Review â€“ A Preliminary Analysis
Authors: Ba-Quttayyan Bakr , Mohd Haslina , Baharom Fauziah
Published: July 2024

Software needs to be modified and frequently maintained by what is called regression testing. Regression testing is a costly but necessary maintenance activity in the software development lifecycle (SDLC), which can be performed to revalidate modified software to make sure that changes did not adversely affect software behavior. Several studies have been carried out regarding regression testing domain in the literature. However, these studies need to be classified, summarized and ordered in a systematic manner to spot on the current state of the art of regression testing field. Previously, a protocol for conducting systematic literature review for regression testing was carried out. Therefore, this paper will carry out a systematic literature review (SLR) to illustrate the current state-of-the-art of regression testing domain. In this SLR, a manual search has been conducted to obtain related studies from four various sources where those studies were classified under journal, conference proceeding, and book chapter categories within specific criteria. Consequently, the initial search resulted in 1261 unfiltered studies, which then decreased according to certain predefined criteria up to 246 selected relevant studies. For the next stage, primary and secondary studies were identified. As a result of this stage, major regression testing concepts such as: approaches, frameworks, models and tools were briefly presented, analyzed and discussed in related with selected studies. In the future, regression testing approaches, techniques and tools will be further discussed in more detail.Â Â
Web Visual Design Principal Used in Public Universities in Malaysia
Authors: Bullah Affandy Habee , Hussain Azham , Mohd Nadzir Maslinda
Published: July 2024

Websites have become a vital tool for public universities. Universities websites are now becoming a hub for various services for various characteristics of users. With the increasing importance of a website, it resulted in new challenges for web designers. One of the challenges is ensuring that the web design incorporates both usability and pleasing web visual aesthetics. This research will look at the web visual design principles used by web designers in Malaysian public universities and the challenges faced by the web designers in designing the websites. Public universities web designers were interviewed for this research. The main findings of the research include the web design process of Malaysian public universities official websites, the web visual design principle used and the challenges faced by the web designers. This research also identified an opportunity for future research especially regarding the challenges faced by the web designers.Â Â
Design and Analysis of Fuzzy Controller for UPFC system
Authors: Udaya Kumar L. , C. Ramya K. , Sivaranjani S. , Sheeba Rani S.
Published: July 2024

The stability and the transmission ability of a power system can be improved using a Flexible AC Transmission Systems (FACTs) devices. Amongst the various types of FACTs devices, Unified Power Flow Controller (UPFC) provides better controlover the power flow in the transmission line and also increases the stability of the system. At the same time, it also effectively suppress the low frequency oscillations by controlling the voltage and power. Hence in this work, a linearized power system with an UPFC is evaluated. This proposed fuzzy-based UPFC controller affords an effective damping control. The results obtained through simulation shows that the proposed UPFC with fuzzy controller is more effective compared to that of conventional PID controllers.Â Â
Realization and Encompassment of Torque and Speed Pulsations Depriciation in Permanent Magnet Synchronous Motor Employing ILC-Sine PWM
Authors: Subha Lakshmi N. , Allirani S.
Published: July 2024

The rotor of PMSM is made of permanent magnet and thus it does not rely on an external source to generate the rotor flux. The major drawback of Permanent Magnet Synchronous Motor is torque ripple, where speed oscillations are generated and weaken the function of drive which operates at low speed. This paper propose the Iterative Learning Controller (ILC) with SPWM to extinguish the speed and torque ripple in PMSM driven by field oriented control. The reference motor speed is compared with actual motor speed by the speed controller, and generates the reference current iqref value where the speed error is reduced. Depending on iqref value SPWM pulses are generated. These generated pulses are sent to the three phase inverter. The major merit and effeciency of the proposed method for speed ripple and torque suppression are designed, analysed, simulated and implemented in hardware using TMS320F2812. The outcomes obtained show the significant minimisation of speed ripples using PI plugged in ILC with SPWM. Thus reduction of speed ripple is done by this proposed method.Â Â
The Ontology of Food and Nutrition System for Pre-School
Authors: Lertkrai Puriwat , Kaewboonma Nattapong , Lertkrai Jutaporn
Published: July 2024

Nutrition is very important for pre-school children age 1-5 years. At this age, they grow too fast both with body and brain. Structural damages in the body and brain may result if children are underweight or obese. In this research, we propose an ontology development of food and nutrition for ore-school that aims to assist pre-school in daily diet selections based on Thai foods menus and nutrition guidelines. This research reused existing ontologies and resources to present the ontology modeling and rules-based that focus on Thai pre-school. The methodology of this research can be summarized into four major states; data collection, ontology development, rules-based development, and evaluation. The eight main classes of this ontology are Body Mass Index (BMI) levels, Thai foods menus, Food energy levels, and knowledge base for providing the recommendation based on BMI level for Thai pre-school. In addition, the evaluation result from domain experts ensured that this ontology and rules-based can be used in Thai food menu recommendation system for Thai pre-school.Â Â  Â
CTS-SRAM: Design of Low Power CMOS Transmission Gate and Sleep Transistor based SRAM Cell
Authors: Singh Sangeeta , Prasanna Enreddy , Srikanth Boppidi
Published: July 2024

In modern technology era, the demand for Static Random Access Memory (SRAM) cells has been greatly increased due to its wide variety of applications. Power consumption, speed, read stability and leakage issues are the major design challenges related to SRAM. This paper presents a novel SRAM cell based on Multiple Supply Voltages and non-precharged RBL (MS-N10T) and also shows the comparison of various SRAM cells based on lector, sleep transistors and Transmission gate (TG) to reduce the power consumption when compared to LP10T. The SRAM cell MS-N10T when used in combination of TG and sleep transistors (TGNS-13T) further reduces the power consumption. The analysis further shows that the SRAM, TGNS13T reduces the power consumption approximately by 70-80%. On the Other hand, the LC14T SRAM cell enhances the stability approximately by 80-85%. The major objective of this work is to reduce the power consumption with marginal increase in propagation delay and to improve read stability so as to meet the challenges of advancements in technologies. All the various SRAM architectures are implemented using Cadence 45nm CMOS technology.Â Â Â
Assessment and Analyze the Magnetic Field production in the Electric Power Substation 132/33-KV
Authors: A. Abdullah Ali , I. KHalel Mohammed , H. Salman Uzba
Published: July 2024

Electric power transmission arrange and also the electric, power sub-station container be consider as an abnormal state wellspring of frequency wave terrain to facilitate might foundation a pessimistic wellbeing impacts just before the laborers in the station. This scheme of occupation evaluation with investigate the attractive ground discharge during the thrilling supremacy superstition 132/33KV have been finished. The powers of attractive meadâ€™s levels encompass be figured in light of Amperes' law conditions and estimated at substation by analyzer gadget. Sheltered and dangerous sector from some electrical hardware indoor the substation boasts been resolved. Examination the acquired outcomes among the standard acknowledged breaking points demonstrates that they lay inside as far as possible qualities. That implies there is no wellbeing impacts because of brief time presentation to such fields.Â Â
Secured Voting System with Multimodal Biometric Technique using ANN
Authors: Deora Payal , Kumar Abhishek , M Gayathri. , C Malathy
Published: July 2024

Free and fair elections play a major role to explicate a democratic government, but all too frequently, the actual mechanics of election has always been taken for granted in our country, the largest democracy in the world. The issue of security is very prominent in any system such as the current electoral voting system. There is no proper record of people who have already casted their vote. The voter Id card does not have any record of biometrics of the voter, so we cannot guarantee genuine voting hence creating chances of bogus voting. Therefore, we intend to aid in security of voting system by bringing advanced technologies of neural networks with multimodal biometrics (face recognition, fingerprint scan, retina scan etc). As these biometrics of a person is already recorded in their Aadhar card, so it can be used as database. At the time of voting, biometric information of a voter will be gathered and will be matched to the database obtained by Aadhar card so that the person can be identified correctly. The proposed new voting system with multimodal biometrics can help any democratic government in conducting smooth election by removing all the ambiguities and security issues of current scenario. â€˜Â
Anomaly Detection System for Internet Traffic based on TF-IDF and BFR Clustering Algorithms
Authors: A. Alasadi Suad , S. Bhaya Wesam
Published: July 2024

An anomaly can be defined as any deviation from the normal and something which is outside the usual range of variations, it consumes network resources, and lead to security issues such as Confidentiality, Integrity, and Availability (CIA).An Intrusion Detection Systems (IDS) are designed and implemented by many researchers to analyze, detect, and prevent the anomaliestraffics. Although, there are various techniques for IDS to detect anomalies like statistical, machine learning techniques. Data mining can be efficiently employed for anomaly detection. Since, it works to extract features from network traffic; it can be used to distinguish between common legitimate and attack traffics. Data mining can be efficiently identifying the important data for user and predicts the results that can be utilized to detect various types of attacks.In this paper, an anomaly detection approach usingTerm Frequency Inverse Document Frequency(TF_IDF) and Bradley, Fayyad, and Reina(BFR) clustering algorithm is presented to detect and prevent malicious traffic efficiently and with low time complexity.Multiple types of attacks are detected in the proposed solution like (Flooding, Denial of Service (DoS), Backdoors, and Worms)attacks effectively using two modern datasets are which areâ€œNUST2009, UNSW-NB2015â€.The experiments result shows that the BFR clustering algorithm perform better than the K-meanalgorithm in term of accuracy and detection rate. The overall accuracy for NUST2009 dataset is 99.2%, the detection rate is 100%, and false alarm rate is 0%. While the overall accuracy in UNSW-NB2015 dataset is 98.76, the detection rate is 79.28%, and false alarm rate is 0%.Â Â
User Behaviour Analysis for the Merchandises Fairness Evaluation
Authors: A. Al-Sultany Ghaidaa , Mohammed Hussain Saba
Published: July 2024

The development of digital technology leads to expansion of advertisements of goods and purchases online. The customer reviews and opinions affect in an essential way on the promotion of products and its reputation. In this paper, for the sake of distinguishing the user behavior in terms of his fairness and bias to the purchased merchandises, the user history has been analyze for extracting crucial features (Extreme rating, productâ€™s goodness, and userâ€™s past reviews). The extracted features help economic companies to exclude biased reviews for the fairness purposes of the evaluation of the product.Â  In addition, they bring to light the identity of the user according to his past ratings and reviewing on purchased goods. The experiments in the research have shown encouraging results with respect to the values of the extracted features.Â Â  Â  Â  Â  Â  Â  Â  Â  Â
Enriching Tweets for Topic Modeling via Linking to the Wikipedia
Authors: A. Al-Sultany Ghaidaa , J. Aleqabie Hiba
Published: July 2024

Twitter is currently the essential broadcasting services in the world of multimedia and the scope of spread information, news, and events. Due to the nature of tweets, from the short post, limited contextual information, sporadic, noisy and vague, the topics of learning remain a significant challenge. In this paper, the proposed approach overcomes those challenges through complete the contextual information of each tweet by attaching descriptions from the Wikipedia. Tweets will be enriched and integrated with its contextual information of the Wikipedia, in order to convert short posts into long texts and get rid of the deficiencies that produce during the training. This procedure implemented by following the steps; firstly, Twitter Name Entity Recognition (TNER) was proposed to classify the tweets by the nature of it and choosing specified entities for the next step. Secondly, establish connecting through the Wikipedia API, linking the entities of each tweet and Wikipedia appending it to its tweets creating a new dataset, feeding the preprocessing step. Finally, topic modeling, Latent Dirichlet Allocation (LDA), was applied.Â Moreover, a comparison based on the effect on modeling representation, and the nature of the topics for both datasets was performed. As well as the evaluation criteria were performed i.e. perplexity and coherency of both models.The twitter Dataset was collected via API, from several Twitter accounts for Fox News, Reuters, and CNBC. It indicates that the system affects the representation of topics for the topic modeling. The representation was better for enriched tweets, and the tokens of each topic more descriptive and meaningful, this was indicated by the high coherency of the second model that improve and affect the representation of topics.Â Â
Video Shot Boundary Detection Method Using Modified Artificial Bee Colony and Fast Accelerated Segment Test Algorithm
Authors: Hadi Isra'a , Z. Neima Hikmat , . .
Published: July 2024

Over recent years, video has become one of the most important means of communication. This is due to the rapid growth in network bandwidth and device storage capacity. The management of video databases therefore requires efficient video analysis methods. Video shot boundary detection (SBD) is considered an essential step in a wide range of video analysis processes such as video browsing, indexing, retrieval and summarization. Many SBD methods have been proposed; however, accuracy in the detection of shot boundaries is still unsatisfactory. In this paper, an efficient SBD method is proposed. The proposed method consists of two stages: identification and verification. In the identification stage, candidate shot boundaries are identified based on a modified Artificial Bee Colony (ABC) algorithm. In the verification stage, the global and local features of frames are extracted to verify the shot boundaries. Fuzzy histograms are utilized as a global feature while features from Fast Accelerated Segment Test (FAST) corner detection is implemented to extract interest points as a local feature. The proposed method has shown highly accurate results.Â Â
The Role of Information Technology in Administrative Control: Analytical Study of the Babylon University's Community Views
Authors: JassimAbd AL-Razaq Fryal , Saad A. AL-Murieb Safa
Published: July 2024

Due to the main role of information technology in many fields of life such as in administrative controlÂ  and the increasing occurred, the interest with this subject increased, this is occurred because a lot of processes are running by the organizations via the usage of information technology. So the problem of current research is (Is there a use of information technology in administrativeÂ  control, is there a role for IT in administrative control of the unit under study, and what is the most frequently used information technology field in the administrativeÂ  control) and adopted Find on two assumptions are the link to the role of the hypothesis of IT in administrativeÂ  control of the unit surveyed, The premise of the effect, and the goal of research is to identify the role of information technology in administrativeÂ  control, and identify the concepts of the role of information technology and administrativeÂ  control of the unit under study, has identified conduct research and Babylon university, as the total members of the research community 87 individuals were, in order ,the researchers use, analytical study, a meta search in the collection of information using the questionnaire methods, and use statistical means the arithmetic mean, standard deviation, and correlation coefficient for the completion of the requirements of the search.The research found a set of conclusions was the most important, there is the role of IT in administrativeÂ  control of the unit researched process, in terms of the use of information technology in administrativeÂ  control, and that the most widely used field of information technology in administrativeÂ  control is the financial and administrative field by virtue of the nature of their work.Â Â
Studying yhe Effect of Nano Silver on Some Properties of Acrylonitrile Butadiene Styrene Copolymer for Medical Devices
Authors: Kareem Ahmed Jaleel , Jabbar Braihi Auda , Sattar Jabbar Rami
Published: July 2024

Antibacterial polymeric composites were prepared to manufacture medical devices and seats for hospitals. These composites prepared by adding nano silver (Ag NPs) by three ratios (3, 6, and 9 wt %) to Acrylonitrile butadiene styrene (ABS) terpolymer. The antibacterial activity was investigated against S. aureus and Salmoulla microorganisms using Agar well Diffusion method. Results showed that these composites have antibacterial ability against both S. aureus and Salmoulla microorganisms. At low Ag NPs concentration, the activity against Salmoulla is higher than that against S. aureus microorganism. But at higher concentrations, the activity against Salmoulla will be less than that against S. aureus microorganism. The mechanical properties improved due to the new interactions between nano silver and ABS matrix. Ag NPs addition reduces the surface wettability, enhances self-cleaning tendency, decreases the surface roughness and the groove continuity, enhances the surface bearing index, reduces both the core roughness depth and core fluid retention and shifted the thermal transitions towards low temperatures.
Mechanical Properties of Nanocomposites Reinforced by Polyamide 66 Nanofibers
Authors: Sabah Reyam , Jabbar Zuhair , Jawad Hanaa
Published: July 2024

Mechanical properties of the polyamide 66 nanofibers / epoxy nanocomposite, involved (tensile strength, impact strength, and hardiness) were tested. Four samples of nanocomposites were prepared involved (pure epoxy, epoxy with pure polyamide nanofibers, epoxy with (nanofibers + 0.02 wt.% Alumina nanoparticles ), and epoxy with (nanofibers + 0.03 wt.% Alumina nanoparticles). Nanofibers of nylon66 prepared by electrospinning technique by dissolve (3g) of nylon66 in (17 ml) of formic acid. Nanofiber mixed with epoxy resin by (0.03) wt%. Results show there are an enhancement of mechanical properties of nanofibers nanocomposites, which prepared especially impact strength. On the other hand, the addition of alumina nanoparticles leads to more enhancement of impact strength of nanocomposites.Â
Using Harris Corner Detection and Background Modeling for InPainting Occluded Objects in a Video
Authors: Hadi Ali Israa , Ehsan M Mustafa
Published: July 2024

In this papera proposed ofan efficient method for video inpainting which can be used to remove a single unwanted object that obscured another wanted object in a period of time in a video scene that captured for two occluded objects only. The proposed system based on statistical modified background modeling and interest point detection for the wanted object. Occlusion is the most important challenge in video inpainting and the proposed method can handle this challenge with a good result and less computational cost.The system consists of the following main steps. Firstly, input the original video then estimate the background of the video. After that detect the foreground objects by subtraction the background. Then applying segment and labeling stage each foreground object. Followed by tracking the selected two objects. Thenanalysis the occluded frames with computing interest point for the wanted object in the non-occluded frames basing on Harris corner detector. The final stage filling the unwanted object pixels by two choices either background model pixels or wanted object pixels.The proposed system focus on interruption cases that may be happened by the unwanted object and blocking another wanted and important object. By applying this methodology, the process of inpainting the unwanted object with the keeping of consistency of video.Â  Â