bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficiency Of Irrigation To Meet The Needs Of Rice Fields
Authors: Agusri Erny , Martini Sri , Aprilyansah Aji
Published: July 2024

Irrigation is an effort to provide and regulate water to support agriculture whose types include surface irrigation, swamp irrigation, underground water irrigation, construction of irrigation canals, so that the availability of water in the Irrigation Area will be fulfilled even though the Irrigation Area is far from surface water sources (rivers). or lake) Planning an irrigation system, the first thing that needs to be done is a hydrological analysis using the Modified Penman method including the water demand in the fields (GFR), the demand for water intake (DR), the clean water requirement in the fields (NFR) as well as the water availability factor which is calculated using FJ Mock method. The hydrological analysis of water demand in the Sumberejo irrigation area aims to determine whether the availability of water is sufficient to irrigate the Sumberejo irrigation area which covers an area of 42.37 Ha. The results of the calculation analysis, it is known that the water requirement for an area of 42.37 Ha, the water discharge in the 1st planting season is 0.16 m3/s, while the water requirement is 0.04 m3/s. the existing water discharge in the 2nd planting season is 0.05 m3/s, while the water requirement is 0.06 m3/s. The determination of the rice-paddy cropping pattern for the first planting season begins in April I and the second planting season begins in August II. Based on the results of the calculation of water needs in the second planting season has not been met.
Performance of a cold room powered about energy solar photovoltaic for the preservation of mangoes
Authors: Bignan-kagomna Bouwèreou , Windé Nongué Koumbem Daniel , Bagaya Noufou , Ouedraogo Issaka , Oumar Sanogo
Published: July 2024

This article focuses on the study of the performance of a cold room powered by photovoltaic solar energy for the preservation of agri-food products, more particularly mangoes. The objective of this work is the analysis of the thermal profiles of the cold room and the evaluation of the capacity of the latter to keep the products in good conditions. A study was carried out on the components of the cold unit as well as its operating principle. In addition, the evolution of the temperature of the cold room, depending on external conditions, was studied. Thus for an average internal temperature of the room which varies in the interval [14°C, 15°C], the Amelie mango variety is the one which loses the most mass during storage; it loses 10% of its initial mass after two weeks of storage and 15% in three weeks. The mass loss of Kent and Lippens mango varieties is approximately 4-5% in two weeks and 11-12% in three weeks. The average cooling power of approximately 3 kW and an average COP of 1.9 were established. The photovoltaic generator proved sufficient to power the cold unit.
Review on the design, production and study of the intelligent smoke dryer
Authors: Sawalda Guidzavaï Alphonse , Ngasop Ndjiya , Njintang Nicolas , Tchami Hilaire , Brisco Ngnassi Djami Aslain , Ngnassi Nguelcheu Ulrich
Published: July 2024

Smoking and drying are widely used techniques for preserving food to reduce losses and ensure availability of food in all seasons in developing countries where cost and high technology are out of reach. The effectiveness of ancestral know-how and techniques of these conservation methods being indisputable, it is desirable to improve practices due to the arduousness, health problems of processors and consumers, loss of materials and resources; the irregularity of the quality of the finished product and the loss of time are always perceived. Added to these disadvantages is the lack of information on the evolution of the transformation process which impacts the quality of the finished product. This review aims to take stock of the scientific bases of smoking and drying, the processes and equipment for preserving meat products as well as the laws on the marketing and consumption of these products. It emerges from this study that a device for smoking and drying meat products, and its process making it possible to guarantee food safety, user safety, retaining all nutrients, ergonomic, using fewer resources, fast, adaptable to any type and size of smoking products is not yet present in our markets.
Enhancing surface quality of en31 steel using Taguchi robust design
Authors: Fayaz Ahmad Mir  , Sheikh Shahid Ul Islam  , Mohammad Irfan Hajam  , Lubaid Nisar
Published: July 2024

This study employs Taguchi's robust design and regression to investigate how milling process parameters affect EN31 steel machin-ability. Three parameters—cutting speed, feed per tooth, and depth of cut—underwent nine experiments using Taguchi's L9 or-thogonal plan on a CNC milling center. Optimal settings were determined through mean analysis (ANOM), while analysis of vari-ance (ANOVA) with 95% confidence assessed parameter impact on surface roughness. Notably, feed per tooth displayed substantial influence (75.351%) on surface roughness. Regression analysis effectively aligned predictions with experimental outcomes, and a confirmation test validated successful Taguchi optimization.
Assessment on risk management of helicopter services for offshore installations
Authors: Omar Sabri , Johari Muhd Khudri , Samad Abdul Ghani Abdul
Published: July 2024

The lack of research on risk assessment and awareness among authorized personnel handling helicopters at Malaysian offshore installations has been addressed in a recently-submitted review. The Air Accident Investigation Bureau (AAIB) and Civil Aviation Authority (CAA) has strongly recommended all helicopter companies to improve significantly on their helicopter maintenance, particularly for the ones involving offshore operations. From the perspectives of trainers in an approved training organization such as Universiti Kuala Lumpur - Malaysian Institute of Aviation Technology (UniKL MIAT), this issue has been raised among both training staffs and students. As a benchmark for everyone involved, a comprehensive questionnaire on both risk assessment and risk awareness has been developed and distributed to 15 highly-experienced helicopter handlers from five different respectable offshore installations. The analyzed results have determined that there is a significant correlation between the knowledge of risk assessment and perception on risk awareness among helicopter maintenance personnel on offshore installations.
Fuzzy Inference System for Throttle Control of Pedal-Assist Electric Bicycle
Authors: Don Africa, Aaron , Noriel Mallari,
Published: July 2024

Electric bicycles have played an important role as an environment-friendly and healthy alternative for personal mobility. Pedal-assist bicycles, also known as electric-assist or power-assist bicycles, are one of the two kinds of electric bicycles that offer flexibility to the rider by allowing a combination of electric and human power for driving the bicycle. This study aims to develop a fuzzy inference system for controlling the throttle input of an electric bicycle intended to operate as pedal-assist. Bicycle acceleration and cadence angular acceleration are used as inputs to the fuzzy inference system, with the throttle control as output. Data are gathered based on several inputs and the performance of the control algorithm is analyzed.
Autonomous Spherical Surveillance Robot with Vision-Based Human Recognition and Tracking
Authors: Guzman Miguel Richney D. De , Ocampo Carlo Luigi G. , Subong Jonathan E. , P Aeisha Dominique . Zamudio , Jose John Anthony C. , Cabatuan Melvin K.
Published: July 2024

Managing and securing university grounds poses quite a challenge. This research mainly focused on assisting security personnel in identifying specific persons-of-interest within a given area through the construction of a spherical mobile robot. This structure was conceptualized to protect the mechanical parts and electronics used for the robot's movement. Serial communication using Bluetooth modules imposed effective communication between the electronics that were both inside and outside of the sphere. Different sensors processed different signals inside an Arduino module to achieve the robotâ€™s autonomous state. Additionally, Open Source Computer Vision (OpenCV) was used on a Raspberry Pi 3 module and machine learning on a laptop, for facial detection and recognition, respectively. Whenever faces were detected, the robot-captured images were sent to a base station via file transfer protocol (FTP) through a virtual private network (VPN) over the Internet. A selected image is then compared to a trained set of images within the systemâ€™s database to identify if that specific individual is a person-of-interest. If the identity matches, then the operator will alert security personnel. All in all, the researchers successfully constructed an autonomous surveillance robot that identified specific persons-of-interest and scouted a specific area inside De La Salle University (DLSU).
Fuzzy Ponics: a Fuzzy Based System to Control Temperature, Relative Humidity, Electrical Conductivity and PH of Hydroponics
Authors: E. Pakzad Armie , Ali Pakzad Abbas
Published: July 2024

Hydroponics is a process in which plants grow in a nutrient solution instead of soil. It is a controlled environment agriculture (CEA), which needs intensive controlling of the greenhouse environmental condition such as temperature and relative humidity (RH) along with electrical conductivity (EC) and pH of nutrient solution. A successful Hydroponics System (HS) depends on the way the greenhouse is maintained in terms of the environmental condition and the plantâ€™s nutrient uptake. This paper presents FuzzyPonics, a system which focuses on the application of fuzzy logic algorithm to automatically control the temperature and RH of the greenhouse, alongside EC and pH of the nutrient solution. The identified input parameters were classified accordingly, relative to predefined linguistic outputs and solutions. Sugeno-style of Fuzzy Inference System (FIS) and triangular membership functions were used. The results were simulated using the rule viewer of Matlab Fuzzy Logic Toolbox for six FIS and the proponents were able to get favorable results, which only showed that a fuzzy logic controller is a powerful tool to control the environmental condition and the nutrient solutionâ€™s pH and EC of a hydroponics system.Â Â Â Â
Effect of Solvents and Crystallization Methods on the Formation of Carbamazepine-Saccharin Co-Crystal
Authors: Ab Rahman Fatinah , N. Engku Mat Nasir Engku , Abd Rahim Syarifah , Z. Edros Raihana , Anuar Nornizar
Published: July 2024

Active Pharmaceutical Ingredients (API) crystallized in its co-crystal form is believed to be able to improve the physicochemical properties of its pure crystal. Carbamazepine (CBZ) and saccharin (SAC) were used in this study in investigation of effect of solvents and crystallization methods on the formation of CBZ-SAC co-crystal. There were four different solvents (acetonitrile, ethanol, ethyl acetate and propanol) and two crystallization methods (slurry and stirring crystallization) used in this study. The crystals produced were characterized by Differential Scanning Calorimetry (DSC), Powder X-Ray Diffraction (PXRD), Fourier Transform Infrared (FTIR) and optical microscopy. The findings revealed that only Form I of CBZ-SAC co-crystals was successfully formed for all parameters under studied. It was concluded that the type of solvents, crystallization methods and CBZ:SAC ratio used in this study did not play an important role on the CBZ-SAC Form I co-crystal formation for this system.Â Â Â
Structural elucidation of galactomannan from â€˜Petai Belalangâ€™(Leucaena leucocephala) and its modified analogue
Authors: Shirajuddin Shazlinda , Kamarun Dzaraini , Thomas Sabu
Published: July 2024

Galactomannan (GM) is a biomoleculer polymer present as a storage carbohydrate in endosperm of many leguminous plant and fungal cell wall. Commercial GMs were obtained from plants such as guar gum (Cyamoposis tetragonolobus), locust beans (Ceratonia siliqua) and tara gum (Caesalpinia spinosa). In this project GM was extracted from seeds of a local plant â€˜petai belalangâ€™ scientifically known as Leucaena leucocephala. The GM was further conjugated with acryloyl groups for further crosslinking reactions. We report here the structural properties of the modified analogue of GM based on several spectroscopic techniques such as FTIR, NMR and XRD. The morphology of the galactomannan analogue (aGM) was identified from SEM images at several magnifications. We also included discussions on comparisons of the aGM from its parent structure. GM was successfully conjugated with the acryloyl group as verified by the presence of vinyl stretching bands and vinyl protons in the FTIR and H1 NMR spectrum of aGM respectively. This is supported with SEM images that show distribution of granules along the aGM surfaces as compared to a smooth surface of its parent compound. The successfulness of the conjugation process was further verified from data obtained from thermogravimetric analysis (TGA).Â Â
Nanocarnation-like Nickel Oxide Thin Film: Structural and Optical Properties
Authors: Parimon N. , H. Mamat M. , A. R. Abdullah M. , S. Ismail A. , R. W. Ahmad W. , B. Shameem Banu I. , Rusop M.
Published: July 2024

Herein, the structural and optical properties of highly porous nanocarnation-like nickel oxide (NiO) thin film in possibility of sensing applications were reported. The highly porous nanocarnation-like NiO was grown on indium tin oxide (ITO) glass substrates by using sonicated sol-gel immersion process. The grown film was characterized in details to examine the structural and optical properties using field emission scanning electron microscopy (FESEM), X-ray diffraction (XRD), Raman spectroscopy, and ultravioletâ€“visibleâ€“near infrared (UV-vis-NIR) spectroscopy, respectively. The XRD pattern reveals that the grown nanocarnation-like NiO film has crystalline NiO with a cubic structure. The UV-vis-NIR spectrum demonstrates that the average transmittance value of the sample in the visible region is approximately 48 % transmission. The results showed that, in view of highly porous nanocarnation-like NiO structure exhibited a great influence on its possibility for sensing applications.Â Â
Characterization of Sand Proppant and Its Improvement via Polyurethane Coating
Authors: Fitrah Abu Bakar Noor , Norhidayah Abdullah Zawawi Siti , Mohd Zin Rohani , Abdul Rahman Norazah , Kassim Shaari Norin
Published: July 2024

Characterization of sand as proppant, its improvement using a simple polyurethane coating technique without heating and its coating evaluation using impingement test were investigated. Sand samples were obtained from eight locations in Malaysia beaches. Several important properties of proppant namely particle size distribution, density, turbidity, acid solubility, roundness and sphericity, and crush resistance were determined. Sample from Pantai Bachok, Kelantan showed the best characteristics of proppant that complies with the specifications set by API and ISO except for acid solubility and crush resistance. The proppant sample size of 20/40 mesh size was with density of 1.67g/cm3, turbidity of 162 FTU, acid solubility of 2.8%, roundness and sphericity of 0.46 and 0.7, respectively. For crush testing, all sand samples can only withstand pressure up to 2000 psi. Polyurethane (PU) formulated from palm oil-based polyols has been used to coat the sand particles to improve acid solubility and crush resistance of the beach sand.Â  The PU-coated sands from Pantai Bachok, Kelantan showed better acid solubility of only 0.38% and crush resistance of approximately 10% at 4000 psi than the uncoated ones.Â  The impingement test showed that PU-coated sands gave less impact towards metal target and lower metal losses.Â Â
Author Identification for Telugu Classical Poems
Authors: Pandian A. , V.Ramalingam V. , Manikandan K. , Jeevan Reddy V. , Sai Krishna Pavuluri
Published: July 2024

Artist finding is the errand of distinguishing the creator of a given test from an arrangement of suspects. The free worry of this errand is to characterize a fitting portrayal of test that catches the composition styles of creators. In this task, weka based machine learning instruments are utilized for distinguishing proof of creator for highlight extraction of reports spoke to utilizing variable size character n-grams. We wrote our own java program to extract the features like number of words, sentences etc. From, the poem which in turn fed as input to weka tool for the identification of author then after testing the input with all the algorithm all the accuracy rates are noted down to see which algorithm is given us the best accuracy rate. Now to find the author name for an anonymous poem the poem features are extracted using the java code and the output is taken in the java file given to the weka tool and tested with the algorithms and then the author name is given to the anonymous poems.Â Â
Human Activity Monitoring and Recognition of Elderly People with Mild Cognitive Decline
Authors: Selvi S Arul , M S Sruthi , M Madhangiri
Published: July 2024

Elderly people suffering from Dementia and Alzheimer meet with a progressive cognitive decline. This make them experience hardship in performing their everyday conventional activities especially in their outdoor navigation as they tend to forget landmarks even in familiar environments due to gradual decline in their memory and thinking abilities. Hence, disorientation and wandering become common issue. Providing assistive guidance to the elderly people in their outdoor mobility has become a challenging task for caretakers and family members as most of the elders prefer to live independently. Thus, there arises a need for efficient solutions that can monitor the elderly people movements and notify the caretakers in the event of disorientation or wandering being detected. The main objective of this paper is to propose one such solution which can support the provision of the best monitoring care in the outdoor navigation by mining through the elderâ€™s historical movement trajectories and detecting outliers if any, in the elderâ€™s current on-going trajectory. Further, the system tries to identify the underlying wandering pattern such as lapping, pacing or random in the outlier that could possibly help in analyzing the effect of medication in the treatment of dementia.Â Â
Establishing Shipyardsâ€™ BPR Key CSFâ€™S during Revamping Project Disbursement Process
Authors: Ismail Azman , Osman NorHasni
Published: July 2024

BPR is a great management tools used to revamp a business process within anorganization. Nowadays, most of the organization have reach its maturity stage and adaptation of BPRCSFâ€™s must be scrutinize to ensure that the intended BPR objectives are fulfilled. The Shipyard, whilerevamping its project disbursement process came across with a lot of CSFâ€™s, but only a few are thekey CSFâ€™s that help to move forward with the BPR change initiative. This research used qualitativemethod with interactive Action Research Cycle to identify and establish Shipyard BPR key CSFâ€™s forits BPR project. The finding was made using Force Field Analysis between Shipyard BPR teammembers and the established BPR key CSFâ€™s which will help to further understand how to implementBPR project effectively and successfully without incurring further delay in cost and time to theShipyard.Â
Biometric Authentication System Using Matlab
Authors: Dharunya Santhosh D. , Balakrishnan S. , K.Dhivyasshri C. , Prakash N.
Published: July 2024

The human face is an appealing biometric identifier and face recognition has surely enhanced a ton since its beginnings nearly three decades back, yet its application in genuine world has made restricted progress. In this work, I have concentrated on a neighborhood highlight of the human face to be specific the lip and break down it for its importance and impact on individual acknowledgment. Top to bottom investigation is completed as for different advances included, for example, recognition, assessment, standardization and the utilizations of the human lip movement. At first we show a lip location calculation that depends on the combination of two free techniques. The proposed strategy for lips biometrics is the effect of the lips character acknowledgment for examination. Truth be told, it is a testing issue for character acknowledgment exclusively by the lips. In the primary phase of the proposed framework, Jones and viola calculation is utilized for enhancing high handling effectiveness. At that point, different corners of the mouth are distinguished through the predefined conditions, in which it is likewise ready to recognize shadow, facial hair, and revolution issues. For the element extraction, two geometric proportions and ten allegorical related parameters are received for promote acknowledgment through the help vector machine. Hence, the proposed framework can be successfully utilized for facial biometrics applications. It is additionally exceptionally precise even the other facial organs are secured or likewise it can be connected for an entrance control framework.Â Â
Rule based Hybrid Weighted Fuzzy Classifier for Tumor Data
Authors: Winston Paul D. , Balakrishnan S. , Velusamy A.
Published: July 2024

Examination of gene based information has turned out to be so essential in biomedical industry for assurance of basic ailments. A fuzzy rule based classification is a standout amongst the most mainstream approaches utilized as a part of example arrangement issues. The fuzzy rule based classifier creates an arrangement of fuzzy if-then decides that empower exact non-straight order of information designs. In spite of the fact that there are different techniques to create fluffy if-then guidelines, the advancement of lead producing process is as yet an issue. Here, we introduce a half and half weighted fluffy order framework in which few fluffy if-then principles are chosen by methods for offering weights to preparing designs. Further, we utilize a genetic algorithm (GA) to streamline the classifier for quality articulation investigationÂ Â
Intelligent Speed Controller for Four Phase Switched Reluctance Motor
Authors: Mahalakshmi G. , Maladhi D. , Manochitra G. , Bhavatharini T. , Nandhakumar T.
Published: July 2024

This paper examines the performance of Fuzzy logic controller with conventional PI controller speed control of four phase Switched Reluctance motor. Switched Reluctance motor has acquired attentiveness in Adjustable speed drive .Because of its less manufacturing and operating cost, fault tolerant capacity ,and high efficiency ,this motor is gains considerable attention. SRM is anyway somewhat hard to control, due to its nonlinear attributes. The dynamic execution anticipated from a variable speed drive incorporates least torque swell, low consistent state blunder, diminished speed overshoot, adaptation to non-critical failure and lessened speed wavering. Rather than linearizing the plant for particular working condition and afterward outlining a direct controller, a straightforward drive framework has been created. The controlled framework incorporates an inward current loop and external speed loop. Winding current and turn on ,turn off angles are utilized as control factors.Â Â Â
Formal Specification Languages: Features, Challenges and Future Directions
Authors: Ahmed Hussin , Hussain Azham , Baharom Fauziah
Published: July 2024

Natural language is used as a popular way for Software Requirements Specification (SRS) to ensure successful communication between stakeholders. However, natural language suffers from ambiguity which motivated software community to devise Formal Specification Languages (FSLs) to state requirements precisely. Since the advent of FSLs, a heated debate among researchers and practioners was raised to judge on the practical use of FSLs in industry. In this research, a contemporary review is conducted to shed light upon the features, challenges and future directions of FSLs.Â Â
Current Challenges and Approaches in Recommending Venues by Using Contextual Suggestion Track from TREC
Authors: Tan KianLam , Ur Rehman Khan Haseeb , Kim Lim Chen
Published: July 2024

Contextual suggestion systems have been emerging as an entrance region of research, attributable to the innovative advances in smart connecting things and rapid growth of Big Data. In this regard, the primary purpose of contextual suggestion systems is to propose things that assist users to settle on choices from countless activities, for example, according to their specific context, the system may predict what place users would find interesting to visit or in what restaurant they would prefer to eat. In a smart environment using big data, usersâ€™ current activity and past behavior could be incorporated into the suggestion process with an end goal that provides right suggestion at the right time with appropriate location on users personal preferences. The objective of this paper is to provide an overview of contextual suggestion system and a review of TRECâ€™s contextual suggestion track to investigate the approaches have been used in order to develop a model for contextual suggestion.Â Â
The Impact of Wi-Fi usage on Studentsâ€™ Academic Performance
Authors: Omar Mazni , Ahmad Mazida , Yasin Azman , Ibrahim Huda , Ghazali Osman , Khamis Shakiroh
Published: July 2024

Studentsâ€™ academic performance is one of the main concerns that demand serious investment from the educational provider. One of the investments pertains to the technology support, namely, the Wi-Fi facility in the campus, aiming at providing students a meaningful learning experience. The study elaborated in this paper, sought explanation on the relationships between the Wi-Fi usage and the studentsâ€™ academic performance. Using a dataset from 147 Universiti Utara Malaysia (UUM) undergraduate studentsâ€™ Wi-Fi usage and their academic Cumulative Grade Point Average (CGPA), a Spearman correlation test was executed. The results indicate that Wi-Fi usage does not affect studentsâ€™ academic performance. Additionally, analyses on Wi-Fi hardcore users also found that the usage does not affect their academic performance. Based on website categories has been used by students, it was found that downloading and online games are the two web categories of usage affecting studentsâ€™ performance with CGPA between 2.00 to 2.99. Ways to better assist students to use Wi-Fi wisely to benefit their academic performance are also discussed.Â Â
Time-Frequency Analysis of Power Quality Disturbances via the Transform based Techniques
Authors: Murugesan P. , Prabakaran S.
Published: July 2024

Digital India focuses the increased usage of semiconductor devices. These power electronic devices pollute the electric power in the power system which degrades the quality of power. The polluted power affects not only the generation, transmission and distribution side but also affects the modern equipments of customers. The goal of monitoring non-stationary electric signal is to quantify the transient nature of these signals and to extract the important features, which support the smart integrated monitoring system to activate the protection on time, to provide proper maintenance scheduling and to reduce the economical burden. This paper documents an alternate method of Fourier transform, where different digital signal processing techniques has been used to analyze different power quality events to provide visual examination. Its performance has been analyzed with different time-frequency representation methods like STFT spectrogram, CWT scalogram and DWT multi-resolution technique. The DWT can detect the dynamic changes of the non stationary PQ signal accurately.Â Â
Stress Analysis of SIC Reinforced Polyester Nano Composite Spur Gear
Authors: Selvam R. , Ravi S. , Balasubramanian K.
Published: July 2024

Gears are most powerful machine element to transmit the motion between rotating shaft. It acts as a dominating transmission system from many years ago. In this study, we analyzed a spur gear machine toolfor special application Â using theoretical method and Finite element analysis. Here, the bending stress on the spur gear is analyzed since these stresses induced play a vital role in gear life. The analysis presented the effect of gear material on induced bending stress. Finally results of theoretical method and Finite element analysis were determined and when compared gives a better results.Â Â
Accessibility, Disability and Deaf: a Review
Authors: Soosay Nathan Shelena , Berahim Mazniha , Ramle Rosni , Hussain Azham , Laily Hashim Nor , Qurat-Ul-Ain Ansa
Published: July 2024

Usability is an important attribute that needs more concentration in determining the production of a successful mobile application. Currently, deaf people has increased using mobile and the application tremendously. However, accessibility being under measured as many disability applications are being left unused after quite some time. To better suit the need of mobile applicationsfor the disability people, the level of accessibility needs to be measured accordingly. This study uses Systematic Literature Review (SLR) to review accessibility needs for a disability people application especially deaf people mobile application. Result from SLR shows that accessibility for mobile application for the deaf are measured limited in terms of its usage among deaf people due to lesser appropriate needs incorporated. This study helps mobile developers and evaluators in evaluating mobile application for the deaf by ensuring the accessibility are measured accordingly.Â Â
Information Security Threats on Social Network Sites: a Security Readiness and Mindfulness among IT and Non-IT Postgraduate Students
Authors: Moh. T. L. Ashafee Somia , Haryani Zakaria Nur , Mohamad Tahir Hatim , Katuk Norliza , Nizam Omar Mohd
Published: July 2024

The concept of security and privacy in Social Networks Sites (SNS) are becoming very popular and the number of users are increasing rapidly. These issues run from unapproved access to individual data to digital harassing. Past researchers have been applying alternate points of view including specialized tools and law to ponder protection and security issues. The issues of security and protection is by all accounts continuous. In perspective of the security dangers and protection issues of students utilizing SNS, this investigation embarks to analyst the security mindfulness, readiness towards digital assaults and security practices among IT and Non-IT postgraduate understudies. A total of 400 postgraduate students were studied utilizing a self-directed poll. The discoveries announced in this examination uncovered that IT understudies have altogether high security mindfulness and conduct when contrasted with Non-IT students. Be that as it may, there is no critical contrast between the readiness towards digital attacks of both IT and Non-IT students. This investigation exhibits that there is a critical connection between readiness towards digital attacks and security practices. The hypothetical and common-sense ramifications of this investigation feature the significance of security mindfulness and comprehension of specialized know how in seizing security assaults among SNS clients.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
Performance Measurement towards Crowd-Workers Reliability in Crowd Computing using Bayesian Probability Model
Authors: Hussin Masnida , Aliya Rozlan Nur
Published: July 2024

Crowd computing becomes increasingly popular nowadays to Internet users. It has been chosen as distributed processing mechanism to solve computing problems which offer less policy but better business. Some of advantages in using the crowd computing are significant in time and cost used. In the crowd computing, the usersâ€™ tasks are completed by crowd workers. These workers have different skill, knowledge and style in finishing the task that allocated to them. Satisfaction on the completing the tasks is really challenging to measure in the crowdsourcing due to its dynamic environment. Furthermore, it is raised when behaviour or commitments of crowd-workers in providing services are started to query, either it can be trusted or not.Â  In this work, a Bayesian probability model utilized to assess workers reliability in crowd computing is proposed. Specifically, we formulate trust factor by using the Bayesian model for indicating the reliability of the available workers in crowdsourcing platform. The process of prediction and hypothesis of workersâ€™ commitment are identified to relate with the crowd-sourced computing system. We designed the significant behavioural factors to measure the workers performance towards user satisfaction. We then developed an automation measurement system that used to verify Bayesian formulation towards workers performance. The web-based automation system is able to identify the workersâ€™ reliability values according to the input/response from the users. Optimistically, by using Bayesian probability model provides guidelines for designing trustworthy system in crowd sourcing platform.Â Â Â
Effects of Demographic Factors on Performance Strategies and Brain Wave Quality on Performance among Athletes
Authors: Mazlina Ghazali Nor , Fauzan Norsiah , Anuar Azzahrah , Aden Edris , Marzuki Wan Jaafar Wan
Published: July 2024

The purpose of this research is to investigate the effects of demographic factors and brain wave quality on performance strategies among athletes. The demographic factors such as gender, years of study, and years of involvement in sports play an important role in the use of performance strategies in determining their performance strategies in sports. The instruments used for this research is the Test of Performance Strategies (TOPS) to measure the performance strategies. The findings have revealed that there were significant differences in the performance strategies by the demographic factors as follows; gender at t (21) = 13.75; p < .05; years of study at t (21) = 9.46;Â Â  p < .05, and years of involvement at t (20) = 11.37; p < .05. In addition, there were also significant differences in the sub factors of the performance strategies such as goal setting, relaxation, activation, imagery, self-talk, attentional control, emotional control, and automaticity. Based on the finding from the qEEG application, in the stroop effect tasks, the Beta and Gamma wave had the tendency to dominate the Frontal region (Fp1,Fp2), somatosensory area (C3,C4) which related to the development of the psychomotor skills and visual spatial area (P3,P4) and O1 and O2. The athletes have less thought process in seconds prior to the shot and have quieter mind than the non-athletes. It could be inferred that the athletes needed to be calm and relaxed while facing their challenge so that they could focus on their target and performance. The implication of this research includes the brain wave quality and effect on the performance strategies. The improvement in the brain quality (Alpha, Beta and Gamma) wave would assist the athletes to perform.Â Â
Thwarting Sybil Attack by CAM Method in WSN using Cooja Simulator Framework
Authors: Singhal Prateek , Sharma Puneet , Rizvi Sheenu
Published: July 2024

In the area of IoT Sybil attack is vulnerable where the fake identities can manipulate or misuse pseudoidentities to negotiate the successof spam and Internet of Things. The nodes illegitimately claim multiple identities against sensor and Ad-Hoc networks. The hostile or faulty remote computing elements faces the security thread on large- scale peer-to-peer systems. We have a trust agency to certify the identities prevent from the â€œSybil Attackâ€. Multiple identities that control sustainable fraction of systems so prevent from loss of information while data exchanging via networks or internet.In this paper the proposed CAM (Comparing and Matching) approach to prevent from Sybil attack by verifying the position of the sensors or node with their location ID. We match the ID of the node while data exchanging over network. We specifically given a complete assure security for WSN that these kinds of attack come out with unicast as well as multicast. We have practically analysis the simulation of network by gagingthe end-to-end delay, pack delivery and throughput of packets under the numerous circumstances to compute the effectiveness of packets. This simulation is on the erudite tool that is Cooja under a Contiki OS and highlight the security over data exchanging and exemplify the use feature for intrusion detection â€œSybil Attackâ€ in the Internet of Things.Â Â
Organic Solar Photovoltaic Cells: Synthesis of Indium Tin Oxide using Sol-Gel Method
Authors: Shanmuga Priya S , Ruts Stijn , Krishna Bandaru SVSR
Published: July 2024

Solar cells are a solution for the demand for clean and non-pollutant energy. The first two generations of solar cells were costly and bulky, or with rare metals. The third generation are thin films with a polymer or natural dye as active layer. The active layer materials are common in use and non-polluting. A side for the active layer, other layer must be implanted to make the circuit complete and let electrons flow trough. This work focusses on the production of Indium Tin Oxide (ITO) which act as a transparent conductive electrode.Â  The ITO will be placed in a dye-sensitized solar cell consisting of DNA-chlorophyll active layer. The focus is on the production process of the ITO using the sol-gel method. The precursors that are used are InCl3, SnCl4 and NH3 solutions. To obtain the sols for thin film preparation, the Sn-doped indium hydroxide needs to be dialyzed, aged, and dispersed in ethanol. Then calcination has to be done for preparing proper ITO. When spin coated in to a thin film characterisation can be done like X-ray diffraction, scanning electron microscopy and UV-Vis and near IR spectroscopy. The thin film can be placed in a DNA-chlorophyll as an active layer. After reviewing the simple structure of electrodes and active layer, some hole transmitting layers or electron transmitting layers to reduce the losses. The overall solar cell can be tested and the efficiency will be determined.Â
An Optimization Approach to Model the Waste Collection Process
Authors: Adnanjwad Zainab , Talib Hasson Saad
Published: July 2024

Optimizing the waste collection process is helping in reducing the costs and the waste environmental effects.Waste collection requires applying modified technologies in designing and managing the waste collection areas.Waste collection problem represents a special case of the general collection problems. It needs to consider additional constraints and qualified resources. In this study a modified capacitated clustering approach is applied and implemented in order to distribute the waste bin nodes into dissimilar groups (clusters). These clusters are having different weights depending on the available trucks. Each truck has certain capacity (size) and it must visit each waste bin ones. It must also assign to one cluster only. The number of cluster can be estimated according to the available number of trucks and their capacities. The developed clustering process will optimize the total distances joining the waste bins in each cluster.Â Waste quantity generation is applied and generated as uniform probability distribution random variables based on the historical data of the collected averages. The final result shows a large reduction (about 40 %) in the travelled route in comparing this study suggestion and the municipality route. This study develops scheduling process to assign the available trucks into shifts to collect and empty all the waste bin nodes.Â Â
Secure Data Communications using Cryptography and IPv6 Steganography
Authors: A. Muhajjar Raâ€™ad , A. Badr Farah , . .
Published: July 2024

Security is an important topic in any communication especially if the communicating endpoints have confidential data and require utilizing special techniques to protect it. In this research paper, cryptography method was combined with steganography to enable sending confidential data by utilizing IPv6 protocol header as a cover to conceal secret messages. Flow label field is the field that will be used as a covert channel to exchange critical data between the endpoints. To generate the encryption/decryption key, a proposed pseudo-random number generator was applied. The generated numbers show good statistics when tested using standard statistical tests. In cryptography, RC6 was executed in CBC mode to encrypt/decrypt N blocks of data. For origin authentication, a proposed MAC was implemented to the encrypted data to obtain MAC value that will be sent along with the encrypted data to the receiving endpoints. After obtaining the encrypted data and the MAC, both will be embedded in IPv6 flow label field.Â Â Â
Effect of Flow Behavior on the Production of PVA/Dextrin Microspheres
Authors: Jawad Hadi Nizar , Jabbar Braihi Auda , Kareem Mohammed Sara
Published: July 2024

This work studies the production of microspheres from biopolymer towards usingÂ  as drug carrier and elucidation of the effect of flow behavior on the properties of microspheres. Poly(vinyl alcohol) PVA of 2, 2.5, 3 wt%Â  was mixed with 18% Dextrin using sonication process and then stirred for 20 h at 5Â°C. Different samples were taken after 4, 8, 12, 16, and 20 hr during stirring process for each concentration. Optical Microscopy, Zeta potential and AFM were used to check the size, shape, distribution, and stability of microspheres at rest. Dynamic viscosity and shear stress of the samples were tested under (0.1-50) s-1shear rates at 37oC in vivo condition by using con-plate viscometer. The result show that the microspheres were formed in spherical shape in sizes up to 150 micrometers and the increasing of PVA concentration lead to the increasing of wall microsphere thickness. The first concentration have incipient instability and moderate stability for the second and third concentrations. Also, the viscosity curve exhibited non-Newtonian flow and shear thinning behavior at 2, 2.5 and 3 wt% PVA/Dextrin emulsion. The microspheres deformed at 50 s-1 shear rate for the first concentration. The microspheres keep stable in the second and third concentration due to the gradually shear thinning effect. The stability of microspheres of third concentration was higher than others at rest and dynamic test. A good agreement occurs between viscosity behavior and the microspheres characteristics and stability.Â Â
A Survey on VANETs: Challenges and Solutions
Authors: Hadi Saleh Hassan , Talib Hasoon Saad
Published: July 2024

Vehicular Ad-hoc Network (VANET) is an advanced style and subcategory of a Mobile Ad hoc Network (MANET), the main objective of VANET's is to create an Intelligent Transport System (ITS), to reduce traffic congestion, accidents or assistance as gates to other networks such as the Internet. VANET is responsible for the communication between moving vehicles in a certain environment. A vehicle can communicate with another vehicle directly which is termed Vehicle to Vehicle (V2V) communication, or a vehicle can communicate to an infrastructure such as a Road Side Unit (RSU), identified as Vehicle-to-Infrastructure (V2I). VANET networks have now been established as reliable networks used by vehicles for communication on highways or urban environments. The goal of VANET is to help a group of vehicles to establish and maintain a network of communications between them without using any central base station. Along with benefits, there are a large number of challenges facing VANET.Â  In this research, we present a comprehensive review of the challenges facing these networks with some of the proposed solutions, Researchers will gain best understand of VANETs challenges and research trends from the study.Â Â
A Proposed Method for Key Frame Extraction
Authors: Hadi Ali Israa , T. Al â€“ Fatlawi Talib
Published: July 2024

Video structure analysis can be considered as a major step in too many applications, such as video summarization, video browsing, content-based video indexing,and retrieval and so on. Â Video structure analysis aims to split the video into its major components( scenes, shots, keyframes).Â  A key frame is one of the fundamental components of video; it can be defined as a frame or set of frames that give a good representation and summarization of whole contents of a shot. It must contain most of the features of the shot that it represented. In this paper, we proposed an easy method for key frame extraction from the videoâ€™s shot. In the first step of the proposed system, the frames are divided (hashed) into groups (buckets) based on cosine distance, in this step the frame is converted to HSV color space, and angle between frame is computed, the frames that have similar angle are going the same bucket. In the second step, from each groupkeyframe is selected, the results we get can be considered good and reasonable.Â Â