bluuebunny/crossref_metadata_2025 huggingface dataset:
Advancements in nanoparticle applications for targeted drug delivery: benefits and implications
Authors: T Srinivas. , D Parvathi. , Devi U Anitha , M Venkateshwarlu , T Ugandhar
Published: July 2024

Nanoparticles have emerged as a new technique in the field of targeted drug delivery, providing major benefits in terms of therapeutic results. The present study studies the improvements in nanoparticle applications for targeted medication administration, focusing on their advantages and wider implications. Nanoparticles, because to their nanoscale size, distinct physicochemical features, and capacity to be functionalized with diverse ligands, can easily penetrate biological barriers and transport medications directly to sick cells, reducing off-target effects and increasing treatment effectiveness. Nanoparticles' adaptability allows them to encapsulate a wide range of therapeutic substances, such as tiny molecules, proteins, and nucleic acids, expanding the range of treatable disorders.
Recent advances have focused on optimizing nanoparticle surface properties and composition to increase biocompatibility, circulation time, and targeted delivery capabilities. Polymeric, lipid-based, and inorganic nanoparticles have made significant advances in drug loading capacity, controlled release profiles, and selective cell targeting. Furthermore, stimuli-responsive nanoparticles that release medications in response to biological signals or environmental changes are shown encouraging outcomes in preclinical and clinical trials.
These breakthroughs have far-reaching ramifications, possibly altering the therapeutic landscape for a variety of illnesses, including cancer, cardiovascular disease, and neurological disorders. However, scalability, repeatability, and long-term safety remain crucial topics of ongoing study. The combination of nanotechnology with personalized medical techniques has the potential to produce extremely effective, patient-specific medicines.
To summarise, the continuous development of nanoparticle-based drug delivery systems offers a significant step towards more accurate, efficient, and safe treatments. This research focuses on nanoparticles' unique contributions to targeted medication delivery, as well as potential future paths and consequences for medical science and patient care.
Gate work function variability-dependent short channel effects in nanoscale double gate finFETs: an in-depth comparative analysis
Authors: Nura Muhammad Shehu  , Garba Babaji  , Mutari Hajara Ali
Published: July 2024

We explored the impact of gate work-function variations on Short Channel Effects (SCEs) in nanoscale Double Gate FinFETs utilizing GaAs, GaSb, GaN, and Si as semiconductor channel materials. The analysis is carried out using PADRE Simulator. Critical performance parameters examined are Drain Induced Barrier Lowering (DIBL), Subthreshold Swing (SS), Threshold Voltage Roll-off, On-Current and Transconductance. The results show that GaAs-FinFET excels in terms of DIBL and threshold voltage and on-current. GaN-FinFET shows higher superiority in terms of SS. While GaAs and GaN outperform the other two in terms of transconductance. These findings underscore the significance of work-function variability in enhancing nanoscale electronic device performance and developing semiconductor technology.
Storage Synchronization of Different Devices forPersonal Areal Network
Authors: Don Africa, Aaron , Martin Ladrido, John
Published: July 2024

This paper aims to propose a strategy in transferring files or data in multiple computers without relying on online storage, storage media and peripheral devices. Data owned by an individual is expected to increase with time. The amount of data that a single individual owns in a lifetime will be too large that it will need a large storage and a tremendous amount of time in transferring from one location to another in order to preserve this data and counter hardware degradation. We will be using a strategy that will preserve this large data, exploiting the available storage the user owns without spending extra more money in order to preserve a lifetimeâ€™s worth of personal data. This approach will take advantage of the idle network connection between two or more specific devices; synchronizing a common storage of each devices, thus eliminating the needs for peripheral devices and cloud storage.Â
Automatic Backup Configuration of Routers using PERL Scripting
Authors: Don Africa, Aaron , Richard Mosqueda, Mark
Published: July 2024

Network professionals are deeply challenged and interested with working on a large scale of network environment. The primary challenge to every professional is to maintain and manage a wide range of devices such as routers, switches, servers and firewalls. In line with maintaining a good infrastructure, doing a regular backup on each device is very essential. In the absence of backups, checks and updates of configuration shall be done manually for each of the relevant devices, which is unproductive and time consuming. In this study, automation is presented through a Perl script with Expect commands running on a Linux CentOS 7 accompanied by a MariaDB for the database. Upon running the script, information will be queried in the MariaDB and will thereof access the device to perform an automated backup that will be saved on the running operating system.Â
Image-based Coral Reef Formation Detection and Change Assessment System
Authors: Francis Navea Roy , Franz Ofren Hernan , Joshua Ramos Robert , Angela Villanueva Alexa
Published: July 2024

Coral reefs play an essential role in marine biodiversity as they provide protection and shelter for marine species. Coral reefs also take a major part in maintaining the amount of carbon dioxide and filtration of coastal waters. The destruction and decrease of coral reefs may lead to an imbalance in marine biodiversity. Hence, the coral reefs have to be protected through monitoring and surveillance.In this study, an image-based system that monitors coral reef formation detection and assess coral reef changes was implemented. Image Differencing and Post Classification Methods were used to perform detection and recognition of coral reef formation. Foreign objects such as coins, metal rod and stones were dropped to the experimental set-up. Significant changes in the coral reef environment as well as the significant changes in the formation of the coral reefs after the appearance of foreign objects were assessed. The average accuracy of the system relative to the foreign objects considered is 88.75%.Overall, the study proved that both algorithms are effective in underwater image processing of the coral reef formation. Statistically, there is no significant difference between the results of the two algorithms as used in this study in terms of recognition and detection.Â Â Â
Calcium phosphate nanoparticles prepared via solid-state route
Authors: N. Natasha A. , Ramesh S. , Y. Tan C.
Published: July 2024

To date, the direction of bioceramic research is focused on the improvement of the mechanical performance and biological properties of existing bioactive ceramics particularly HA. Hence, the synthesis of crystalline HA nanoparticles with expected microstructure is of Â Â primary importance because the process directly relates to the phase purity, morphology, and particle size of the final HA particles. In this work, a simple and cost-effective technique, solid state reaction method was successfully employed to synthesize highly crystalline, high purity and single phase nanostructured hydroxyapatite powder using waste eggshells (HA-Es). The process involved mixing calcined eggshell powder and dicalcium hydrogen phosphate di-hydrate followed by a heat treatment at 800 Â°C for 5 hours. The resultant flower-like nanostructure HA powder is composed of leaf-like flakes having 100-200 nm width and crystallite size calculated using XRD data of ~56.21 nm.Â
Miscibility Study of Hexanoyl Chitosan/ Poly(Vinyl Chloride) Blends by Dilute Solution Viscometry and FTIR
Authors: H. Muhammad F. , H.Y. Subban R. , Winie Tan
Published: July 2024

Miscibility behaviour of hexanoyl chitosan and poly(vinyl chloride) (PVC) blends in different ratios was measured using dilute solution viscometry (DSV) and FTIR spectroscopy. The difference between the experimental and theoretical values of intrinsic viscosity, âˆ†[Î·]m and the thermodynamic parameter, Î± were used to investigate the miscibility behaviour of the blends. FTIR studies suggested that there is no interaction between hexanoyl chitosan and PVC. Â The values of intrinsic viscosity, âˆ†[Î·]m > 0 and Î± < 0Â  indicates repulsive interaction and immiscibility of polymer blend. FTIR results for hexanoyl chitosan showed no shift in frequency and no alteration in band shape as well as band inyensity with addition of PVC to the system. Both viscometric and FTIR results showed that hexanoyl chitosan and PVC are immiscible for all compositions under investigation.Â Â
Electrical Behaviour and Photovoltaic Performance of Poly (Îµ-caprolactone)-Based Quasi-Solid-State Polymer Electrolyte
Authors: A. Y. Razamin N. , H. Y. Subban R. , Winie Tan
Published: July 2024

Quasi-solid-state polymer electrolytes based on poly(Îµ-caprolactone) (PCL) and dimethylformamide (DMF) with various concentrations of potassium iodide (KI) were prepared and characterized for their electrical properties and the performance in dye-sensitized solar cells (DSSCs). Incorporation of KI increased the conductivity by 3 order of magnitude from 10-6 to 10-3 Scm-1. The highest conductivity was achieved at 0.2 M of KI. The number, n and mobility, Âµ of ions were calculated by impedance spectroscopy to evaluate the conductivity variation quantitatively. Conduction mechanism of the electrolyte was determined using Jonscherâ€™s universal power law. The conduction mechanism was discussed by comparing the behaviour of temperature dependence of exponent s with existing theoretical models. The small polaron hopping (SPH) model was found to be the model for conduction mechanism of PCL-DMF-KI electrolyte. DSSC with 0.2 M of KI shows the highest photovoltaic performance, Î· of 2.72% with short-circuit current density, Jsc of 5.56 mA cm-2, open circuit voltage, Voc of 0.72 V and fill factor, ff of 69%.Â
Antioxidant activities of oligostilbenoids from the stem bark of Dipterocarpus verrucosus, Dipterocarpus crinitus and Dipterocarpus cornutus
Authors: Zuraida Wan Mohd Zain Wan , Ahmat Norizan , Puteh Osman Che
Published: July 2024

Resveratrol, a stilbene-based polyphenol, is known to be substantially beneficial for human health because of its significant roles as antioxidant agents. Its oligomers received a considerable chemical and biological interest because of their structural complexity as well as their wide array of bioactivities role and function that includes as an antioxidative agent. Based on previous report, only 17 oligomers from Dipterocapaceae have been studied for their antioxidant and other activities. In an attempt to explore new antioxidant leads, the stem bark of Dipterocarpus from Dipterocarpaceae family were extracted and purified to give 14 oligostilbenes. The structures of the compounds were determined by comprehensive analysis of spectroscopic data including UV, IR, MS and NMR after purification of individual compounds through a combination of chromatographic methods. The antioxidant activity was measured using four methods (Total Phenolic Content, DPPH, FTC and TBA). Fourteen compounds were screened for DPPH activity while only major compounds were screened using FTC and TBA methods in order to investigate the possible correlation between both mechanisms. The crude extracts showed high percent inhibition in TPC, FTC, TBA and DPPH methods.Â  The TPC values for the crude extracts are within a range of 331.54 â€“ 482.31 mg/g GAE. In DPPH radical scavenging activity, the crudes displayed lower radical scavenging activity as compared to BHT and ascorbic acid. Nevertheless, D. verrucosus and D. cronutus demonstrated a significant free radical scavenging ability with IC50 values of 80 and 210 Âµg/ml, respectively. Both species also showed low absorbance values, which indicated a high level of antioxidant activity in FTC method. D. verrucosus, D. cornutus and D. crinitus extracts exhibited antioxidant potential in TBA method with percent inhibition of 88.64 %, 99.13 % and 95.02 %, respectively, as compared to vitamin E which has a percent inhibition of 83.23 % at a final concentration of 0.02% w/v. Evaluation on compounds indicated that resveratrol, diptoindonesin E, 4-methoxygallocatecatechin, ampelopsin A and scopoletin possessed IC50 values between 75-450 Âµg/mL in the DPPH assay. The results suggest that oligomer resveratrol from Dipterocarpus are potential sources of natural antioxidants.Â Â
Area Estimation of an Object Using Multiple Infrared Scanning Method for Non-vision Robotic System
Authors: M. Thamrin Norashikin , Arif Ashari Muhamad , . .
Published: July 2024

This paper presents an obstacle detection based on multiple scanning of a non-stationary and discrete sensor for a non-vision robotic navigation system in an unknown environment. In Simultaneous Localization and Mapping (SLAM), complicated computation and expensive equipment are often used by many researchers to obtain an accurate and absolute result. Therefore, in this project, a low-cost and narrowband discrete sensor, namely, an infrared sensor is utilized to visualize the object as well as estimate its dimension and area for accuracy testing. This sensor is mounted on a rotary joint, which is formed by two servo motors, which are served as the vertical and horizontal axes movement during the scanning operation. Then, the scanned data is stored in a database and 2D graphical image of the scanned object based on these detection data are tabulated by using MATLAB 2D scatter plot toolbox. It is found that the multiple scanned data based on the infrared sensor is not suitable for size determination of an object instead it is suitable for object visualization.Â Â
Investigation of Annealing Temperature on Vanadium Dioxide Thin Films
Authors: Hashim Hashimah , Rafiq Roslan Muhammad , Mohd Yazid Ibrahim
Published: July 2024

Vanadium dioxide (VO2) thin film is a material that has multiple functionalities and smart response that give good news for device engineers and material scientist. One of the applications of VO2 thin film is for smart windows that could help to reduce the impact of global warming from buildings and to reduce expenditure on equipment or other methods to cool buildings. Annealing temperature is one of the importance parameters in VO2 thin films fabrication. The optimum annealing temperature is required in order to produce good properties of thin films. In this research, the properties of VO2 thin films were examined. All samples were prepared by the sol-gel spin coating method. The thin films were annealed at different annealing temperatures of 475ËšC, 500ËšC, 525ËšC, 550ËšC and 575ËšC.Â  The properties of thin film in term of structural, optical and electrical properties were investigated by using field emission scanning electron microscope (FESEM), ultraviolet-visible (UV-Vis-NIR) spectrometer and Current-Voltage measurement respectively. FESEM was used to produce the images of the samplesâ€™ structure, the diameter of each nanoparticle and the thickness of samples. An I-V two-probe instrument was used to characterize the electrical properties of VO2 thin films with calculated resistivity and conductivity due to the differentiation of annealing temperature. An ultraviolet-visible spectrometer was used to characterize the optical properties of VO2 thin film; to show the absorbance and transmittance plots as well as calculated energy band gap. The results show that the thickness and the grain size of the thin films increase with annealing temperature. However, the increase in the absorbance and transmittance is inversely proportional to the annealing temperature.Â Â
An Effective Method for Mapping Web User Profile based on Domain Ontology
Authors: M Ratheeshkumar A. , Rajkumar M. , Balakrishnan S. , R Kalaiarasan T.
Published: July 2024

Ontology is characterized as ideas, characteristics and relations that can be utilized to depict and speak to a territory of learning. The main aim of this paper is to create a personalized ontology for web information gathering using language processing techniques. Models use just learning from a worldwide or client's nearby data while speaking to the client profiles. Keeping in mind the end goal to make client's neighboring case archives for coordinating with the portrayal of a worldwide learning base and also to build up a combined ontology using strategies like ontology mapping technique, text categorization, jakard and cosine similarity methods are used to evaluate the efficiency.Â Â
Comparative Studies of Author Identification algorithms for Telugu Classical Poems
Authors: Pandian A. , Manikandan K. , Ramalingam V. , Sai Krishna Pavuluri , Jeevan Reddy V.
Published: July 2024

Creator recognizable proof is the assignment of distinguishing the creator of a given test from an arrangement of suspects. The fundamental worry of this assignment is to characterize a fitting portrayal of test that catches the written work styles of writers. In this task, weka based machine learning apparatuses are utilized for ID of creator for include extraction of reports spoke to utilizing variable size character n-grams. We composed our own java program to extricate the highlights like number of words, sentences and so on. From, the ballad which thusly sustained as contribution to weka device for the recognizable proof of creator then in the wake of testing the contribution with all the calculation all the exactness rates are noted down to see which calculation is given us the best precision rate. Presently to discover the creator name for a mysterious sonnet the lyric highlights are extricated utilizing the java code and the yield is taken in the java record given to the weka instrument and tried with the calculations and after that the creator name is given to the unknown ballads.Â
Authorship Identification of Punjabi Poetry
Authors: Pandian A. , Wahid Stephen , Tokas Yash , V.Ramalingam V.
Published: July 2024

The problem of identifying the author of an anonymous text is basically Authorship Identification. It is nothing but a single-label text-categorization task, from the ML point-of-view. An assumption is made that an unknown textâ€™s author can be differentiated by comparing a few lexical features extracted from theunknown text with the same of texts having known authors. In this paper, the process of Authorship Identification is executed on Punjabi poetry dataset consisting of Punjabi poems written by 5 different poets. Various features broadly categorised as statistical (word-count, char-count, etc.), syntactical (i.e. lexical) and semantically (language dependent) are first selected using the J48 Decision Tree Algorithm. The selected features are in turn, used as an input to multiple classifiers (like SVM, SMO, Bayes Net & Naive Bayes) and the proposed systemâ€™s validation is evaluated on the basis of Precision, Recall, F-score and Accuracy.Â Â
Author Identification of Bengali Poems
Authors: Pandian A. , Manikandan K. , Ramalingam V. , Bhowmick Payal , Vaishnavi Sree
Published: July 2024

Author identification of Bengali poems is a project mainly focusing on identification of an author of a poem. We train the system using a dataset consisting of features extracted from poems by various authors. Features like count of characters, words, spaces, vowels and consonants of Bengali poems are considered. The training algorithm used is J48 decision tree. It has additional features of J48 like it accounts for missing values, prunes decision trees, and derives rules from the data, etc. All of this is helpful when we want to classify with larger datasets.Â
Comparison of Algorithms in Authorship Identification using Bengali Poems
Authors: Pandian A. , Ramalingam V. , Manikandan K. , Bhowmick Payal , Vaishnavi Shree
Published: July 2024

Author identification of Bengali poems is a paper mainly focusing on identification of an author of a poem. We train the system using a dataset consisting of features extracted from poems by various authors. Features like count of characters, words, spaces, vowels and consonants of Bengali poems are considered. Many training algorithms can be used to identify the authors. Some of the algorithms are J48, SVM, PCA, RDM, Random Forest Tree, Logic Regression, Naive Bayes etc. Every algorithm has its own advantages and disadvantages. The training algorithm used the most is J48 decision tree. It has additional features such as accounting for missing values, decision trees pruning, continuous attribute value ranges, derivation of rules, etc. which will be helpful when we want to classify with larger datasets.Â
A Backward Difference Formulation for Solving Doffing-Van Der Pol Type Oscillators
Authors: FadlyNurullahRasedee Ahmad , Hasan Abdul Sathar Mohammad , Mohd Ijam Hazizah , Iskandar Othman Khairil , Ishak Norizarina , Raihana Hamzah Siti , Amalina Jamaludin Nur
Published: July 2024

The study of chaotic motions in periodic self-excited oscillators are an area of interest in science and engineering. The current research proposes a numerical solution in backward difference form for solving these chaotic motions in periodic- self excited oscillators. The research conducted in this study focuses on chaotic motions in the form of Duffing-Van Der Pol Oscillators because of its various applications. A backward difference formulation in predictor-corrector (PeCe) mode is introduced for solving these Duffing-Van Der Pol directly. Numerical simulations provided will show the accuracy of the PeCe backward difference formulation compared against known viable methods. Results will also show that the PeCe backward formulation is a feasible alternative for solving Duffing-Van Der Pol oscillators.Â Â
Aedes Breeding Habitat Localization System
Authors: Sarlan Aliza , Muhammad Afiq SyedMuhammad Azhan Syed , Ahmad Rohiza , Fatimah Wan Ahmad Wan , Hussain Azham
Published: July 2024

One of the main health issues Malaysia faced is dengue disease that is transmitted via Aedes mosquitos. The most prominence area of dengue cases in Malaysia is in urban area with construction site area reported the most. Till today, prevention and controlling methods are the only solution in combatting Aedes and dengue outbreak. The current aedes prevention approach via search and destroy involves manual searching of potential Aedes breeding habitat. The objective of this project is to develop an IoT based system called as the Aedes Breeding Habitat Localization System to locate watery areas, collect data and analyze data to improve understanding on potential Aedes breeding areas. The iterative and incremental prototyping approach has been used to develop prototype called ABLD. Also, an experiment for precision testing has been conducted to validate the system. Results found that time for data collection has been reduced tremendously and the collected data assist the health agencies improving data analytical process forecasting pattern and preventing future dengue outbreak.Â Â
Analysis of Iterated Affine Transformation Function and Linear Mapping for Content Preservation
Authors: Garg Ankit , Negi Ashish , Chauhan Geeta
Published: July 2024

In image scaling contents of image can be distorted which are required to preserve using linear mapping. Geometric transformations can preserve structural properties i.e. parallelism, colinearity and orientation. It is highly desirable to preserve structural properties of image contents because human visual system is very sensitive to distortion of objects. In this paper image scaling is performed using iterative affine transformation and results show that linear mapping function applied on affine space preserve affine properties under affine transformation. A number of scaling operations are applied on image using iterative affine transformation and for each iteration linear mapping is performed to preserved object structure. Analysis present in this paper shows that in image scaling preservation of image content is possible under iterative affine transformation and linear mapping. Image artifacts can be minimize using saliency based antialiasing algorithm after affine transformation.Â Â
Neutralizing Perceptions of BPR Hard Part among Shipyard Employees
Authors: Ismail Azman , Hasni Osman Nor
Published: July 2024

Deploying of BPR faces a lot of challenges either during pre-implementation, post-implementation,or both. Negative perceptions of BPR are one of the challenges normally happened during BPR deployment andit must be neutralized before it creates unnecessary resistance among employees. This research aims toneutralized BPR hard part such as radical change, clean slate process, and top down approach during revampingof project disbursement process in Shipyard. This study used qualitative method with interactive ActionResearch Cycle to neutralized BPR hard part using available BPR key critical success factors within Shipyardworking environment. The findings were based on interview conducted on twelve interviewees from Shipyardâ€™scross-functional department and stake holders related to project disbursement process. Negative perceptionduring pre-implementation was gradually reduced and become more positive after applying BPR key CSFâ€™sduring project implementation.Â Â
Performance Analysis and Low Power Design of Voltage Level-up Shifters
Authors: Srikanth B. , Nayak Rameswari , Singh Sangeeta , Harini V.
Published: July 2024

Voltage level-up shifters are widely used in dual supply applications and it acts as an interface between main core and input-output units. Low power with efficient level-up shifter is designed by reducing the transistor count and the proposed level-up shifters are capable of converting from sub-threshold to above threshold level signal. The strength of pull-down networks and pull-up networks are enhanced by employing a couple of current mirror circuits. The simulation results of the proposed level shifter in 180nm technology yields a power dissipation of 95.79nw, propagation delay of 41.23ns for an input voltage of 0.4V and input frequency of 1MHz, low supply voltage VDDL=0.4V, high supply voltage VDDH=1.8V. Proposed 14T Level shifter in 90nm Technology demonstrates a power dissipation of 54.8nw, propagation delay of 28.8ns for an input voltage of 0.2V and input frequency of 1MHz, VDDL=0.2V, VDDH=1.2V.Â Â
Path Stability Prediction for Stable Routing using Markov Chain Model in MANETs
Authors: C Calarany , R Manoharan
Published: July 2024

The mobility factor and the energy level of a node during data transmission in MANET are considered to be the most important challenges amongst several other issues like link stability, security and QoS factors in the designing of routing protocols. Forecasting the path stability, leads to an effective and reliable communication between the nodes in a highly dynamic scenario. Subsequently, in most of the work metrics namely hop count and energy are considered for stable path selection and mobility is handled in few works. Therefore, in this paper a prediction model with bi-objective optimization using Active Interactive Neighbour Rate (AINR) and Energy (E) have been considered for stable path selection. Markov models are widely used for depicting random behaviour in several processes related with time series. However, this model has not been utilized for predicting the stable path in a highly mobile network, taking into consideration the issues of mobility and energy. Hence, in this work a new Path Stability Prediction model, using Markov chain namely PSPM has been proposed, using two metrics namely AINR and E. The proposed model is incorporated in a multipath routing protocol, which identifies the optimal path in terms of minimum AINR and minimum energy consumption, which has been evaluated using NS 2.35. From the simulation, it has been found that the new protocol shows enhancement in results than the existing protocols namely AODV and AOMDV, in terms of various parameters such as Packet Delivery Ratio, Throughput, End-to-End Delay, Energy consumption and Routing Overhead.Â Â
Improving Oil Price forecasting using Regression-Relief-bases Indicators Selection Model
Authors: S. Al-Shamery Eman , Alâ€“Gashamy Hussein
Published: July 2024

Crude oil holds a vital and growing role in the local and global economy. The main goal of this study is to explore the effect of technical indicators in enhancing the capability of Sequential Minimal Optimization (SMO) to forecast the precise oil price. In addition, Relief algorithm reduces the dimensional space and eliminates irrelevant factors. 10-fold Cross validation testing method is used to train two main series of crude oil price, Brentand West Texas Intermediate (WTI). Further, Mean Absolute Error Â and Root Mean Squared Error are considered as evaluation criteria. A comparison has been implemented on input features with and without TIs. The results show that using Technical Indicators satisfy better results of prediction. The Accuracy rate is raised with MAE ratio 14:1 for Brent and 15:1 for WTI, while RMSE improved with ratio17:1 for Brent and 20:1 for WTI. Finally, The experimental result proved that the optimized model was superior when compared with Linear regression, MLP regression, and Gaussian in terms of prediction errors.Â Â
Security Threats and Existing Solutions on Cloud Computing
Authors: Shahzad Faisal , Din Roshidi , Ghazali Osman
Published: July 2024

Cloud computing as the greatest evolution of distributed computing, gets benefitted from the technology advancement due to its data versatility and economies of scale. Cloud computing aims to offer flexible services that can minimize the customer's need for investing in new hardware and software. However, the rapid extension of cloud computing raises some concerns regarding security and privacy of data that appears to be an inhibitor in the adoption of cloud services. It is, therefore, necessary to address these issues and their existing solutions. For this purpose, the present study is engrossed in the security threats to data that have been listed as the top threats in the previous years. Mainly, this study provides a review of top threats to cloud security and the solutions based on different models, frameworks, and algorithms to ensure data security in a cloud environment. The significance of this paper is twofold as it provides an overview of security threats as well as it explores the existing solutions to the problem in data security in cloud computing. The outcomes of this study presented that there is still a need for accurate mechanism or technique that can minimize the security threats faced in cloud computing.Â Â Â
Designing an Interactive Game to Encourage Cognitive Empathy as a Bullying Prevention Tool
Authors: Baharin Hanif , Sanim Mohd Fauzi Shukor , Ahmad Azlina , Mohmad Kamal Fazillah
Published: July 2024

Bullying can have detrimental consequences to the victims, hence there is a need for bullying prevention programs at school. In this paper, we describe a gameplay model which may be usedto elicit cognitive empathy as a part of anti-bullying program among schoolchildren. We interviewed 79 schoolchildren from four schools in order to find out their understanding of bullying and their play behavior, and we observed their play behaviorduring recess. We found that most schoolchildren in our study instinctively know that bullying is wrong because it hurt others but attributethe consequences to self as imposed by authorities as the reason why hurting others is wrong. We argue that, this shows that they demonstrate affective empathy but would benefit from cognitive empathy training. From our findings we came out with design guidelines and produced a bullying morality conceptual model, which then informed our gameplay model. To validate the gameplay model, we designed and tested an indoor physical computing game prototype that encourages player to collectively exercise their cognitive empathy. The results from our game testing shows that the game mechanics proposed in our gameplay model do encourage players to exercise the empathy.Â Â
Automobile Driver Stress Detection By Wearable Glove System
Authors: D Hepsiba. , D.Vijay Anand L. , . .
Published: July 2024

This paper focuses on predicting the driverâ€™s stress depending on the change in skin conductance. The Galvanic Skin Response (GSR) sensor is used for measuring the skin conductance. The electrical conductance varies with respect to the moisture of the skin produced by the sweat glands. The emotions of the driver such as normal state and stressed state are considered for monitoring. The electrical conductance of the skin helps to monitor the stress of the driver when driving the vehicle. Compared to other physiological signals such as ECG, EMG, EEG, EOG, Respiration Rate, this method is a simple and reliable method. Twenty subjects were exposed to the simulation driving environment under different scenarios such as Â normal roads, highways and heavy traffic roads. The readings obtained from this study helps in detecting the driverâ€™s stress level. Â Â
The Role of Natural Language Processing in Requirement Engineering
Authors: Ahmed Hussin , Hussain Azham , Baharom Fauziah
Published: July 2024

The major objective of Software Requirements Specification (SRS) is providing sufficient information for software developers to build software product successfully. However, the current features of natural language hinders processing and analysis of requirements due to its ambiguous nature. Over the years, many Natural Language Processing (NLP) approaches were emerged to tackle this problem to detect errors or extract useful information from requirements documents. In this paper, a review of these approaches has been represented to reveal the role of NLP in requirement engineering and depict the current dilemma of SRS processing.Â Â
Neural based RBF and LVQ Network Model of Knowledge Representation in the Prediction of Mobile Location
Authors: Venkata Subramanian J. , Govindarajan S.
Published: July 2024

In mobile communication system, mostly the Location based services and quality of services have need of information about the mobile station location. If the cellular communication system knows the movement of the subscriber is preplanned, andÂ exceedingly passionate aboutÂ the mobile subscriberâ€™s personal characteristics. Thus prediction of mobile location is mainly essential matter to give the location based quality of service to the subscribers [8]. Neural network has several network models that can be utilized to predict mobile location and preparation parameters can be collect from the individual portability of the subscriber. In this paper our contribution is that RBF network techniques and LVQ be use to forecast the subscriberâ€™s next locality based on the present locality [6]. The MATLAB software was making use of substantiate the constraints of Radial Basis Function network structure and also the similar training facts to LVQ network. At first, the execution of the LVQ (Learning Vector Quantization), RBF (Radial Basis function) [13] has been considered. Our real commitment in this paper is that we prepared neural system utilizing the data about adjusting cell and neighboring cells, collected from a drive analyzer Reality mining on specific ways demonstrating the genuine Mobile Station (MS) area.Â Â
Design and Analysis of Fractional PID Controller for Isolated Bidirectional DC-DC Converter
Authors: C. Ramya K. , Vinoth Kumar K. , Sheeba Rani S. , Radhakrishnan G.
Published: July 2024

The switching frequency of the bidirectional DC-DC converter is increased to make the size of the converter compact. This in turn results in higher switching losses. In order to overcome this drawback, a novel isolated bidirectional dc-dc converter (IBDC) is proposed. This work discuss about the performance of proposed IBDC. The performance of the proposed converter is evaluated using MATLAB /SIMULINK and the simulation results is verified with experimental results.Â Â
Hyper Elliptic Curve Cryptography (HECC) to Ensure Data Security in the Cloud
Authors: Nagendran N. , Thillaiarasu N. , Chandrika P. , Chethana R.
Published: July 2024

In todayâ€™s technological world, cloud computing is emerging as a trendsetting information technology service for storing data and resources and retrieving them from the Internet rather than direct server connection. This technology also enables users to save them in a remote database. But the main concern with this technology is about the security of data stored in the cloud. Since users rely on third party services for data storage, they are highly vulnerable to attacks and data exploitation. Cloud services offer a multitude of security tools to safeguard user data but they face some disadvantages like data leakage, denial of service, eavesdropping, lack of safety standards etc., This paper proposes a efficient method for safeguarding cloud data through Hyper elliptic curve cryptography (HECC). The proposed cryptographic technique offers effective encryption and decryption of data in the cloud.Â
Authentication Mechanisms for Mobile Learning Applications: a Usability Study
Authors: Hean Yong Kang , Katuk Norliza , Haryani Zakaria Nur
Published: July 2024

Authentication is a security component that maintains user access to applications. It has been the primary reason for users to create usernames and passwords before they can use applications. In creating usernames and passwords; users are required to fill in their personal information in which it is a time-consuming process. Additionally, it also increases the number of usernames and passwords that users need to remember which leads to password fatigue. Social login is a way to address this problem. With the benefits that social login could offer, this study aims to study the usability of social login for mobile learning. Further, the userâ€™s preference towards authentication mechanisms used for mobile learning applications was identified. An experimental study was conducted using a mobile learning application named LANGKAWI ISLANDS. Forty participants participated in this study on a voluntary basis and used the traditional and social login on LANGKAWI ISLANDS. The time taken by the participants to sign up the application using both mechanisms was recorded. The usability of the authentication mechanisms was evaluated using a self-report questionnaire. Then, the participants stated their preference for the authentication mechanisms. The results suggest that the social login is more usable than the traditional authentication mechanism. Further, the usersâ€™ signup process for LANGKAWI ISLANDS is much faster using social login and has been the primary usersâ€™ preference for mobile learning authentication mechanism.Â Â
The Enhancement of Spreadsheet Skills among Practitioners within Small Medium Accounting Firms
Authors: Maisurah Ku Bahador Ku , Haider Abrar , Mat Saat Rafeah
Published: July 2024

This study identifies electronic spreadsheet skills enhancement approaches among accounting practitioners in Malaysian small and medium accounting firms. Spreadsheet plays an important role for accounting practitioners and has also penetrated almost all accounting-related processes such as planning, budgeting, forecasting as well as decision-making responsibilities. This study uses a case study design with a qualitative approach as a strategy to identify skills development approaches. The findings conclude that formal education, experiential learning and job rotation and knowledge sharing among peers are the three main skills enhancement approaches which have emerged from utilising spreadsheet within the small and medium accounting firms. This study, thus makes significant contribution to the academic and professional bodies as well as to the industry, by providing theoretical base to develop skills related to spreadsheet as well as soft skills, indirectly, i.e. critical thinking and decision making skills for knowledge workers in general and accounting practitioners in particular.Â Â
Predicting the Occurrence of Landside at Penang Island, Malaysia, through Artificial Neural Networks Model
Authors: G.Hassan M. , N. Othman S. , A.Taib C. , A. Ahmarofi A. , D. Akanmu M. , Zakaria@Che Kob Rosli
Published: July 2024

The occurrence of recurring landsidesthat plagued Penang Island in 2017 hasattracted much attention across Malaysia since the incident puts peopleâ€™s life in danger and worsensthe economy of state and country. Based on the harmful effects, the requirement for predicting the occurrence of landslide is deemed crucial for disaster management agencies to promote awareness and prepare for necessary action. Therefore, this study aims to investigate the meteorological factors, and finally to develop a predictive model based on Artificial Neural Networks (ANN). Two meteorological factors, which are daily mean temperature and daily rainfall are considered in this study based on current data from Malaysian Meteorological Department. As a result, only two percent misclassification rate is recorded by the model compared to the actual data,while its prediction performance is better than regression method. Besides, the correlation between the rangeof daily rainfall amount withcorresponding daily mean temperature for the occurrence of landslide is anovel contribution of this research as little attention had been given by previous studies. The developed ANN model is helpful in predicting the occurrence of landslide inPenang Island and provides beneficial guidance for the disaster management agencies to save properties and peopleâ€™s lives.Â
Fuzzy Model of Attracting Investments in Zones of Risk Agriculture
Authors: Fozilova Madina , Jurayev Zarif
Published: July 2024

An optimization model for attracting investments in risky farming zones and algorithms for solving problems of risk assessment is given. The two-criterion problem of finding the optimal combination "risk-return" was solved.Â Â
Reconfigurable Hairpin Bandpass Filter for Wireless Applications
Authors: Krishna Chaitanya Durbhakula Manikya , . .
Published: July 2024

This paper introduces a reconfigurable Hairpin Bandpass Filter incorporated with PIN diode switching mechanism with good return loss and band pass characteristics for wireless communications.Â  The proposed filter consists of hairpin bandpass filter incorporated with switching mechanism placed over Arlon substrate with an effective dielectric constant of 2.2 and is designed to operate at two different resonant frequencies, i.e., at 1.75 GHz and 3.5 GHz independently by controlling the switching conditions of the PIN diodes. The filter is designed to offer a fractional bandwidth of 11% at 3.5GHz and 13% at 1.75GHz.Â  A proto type is fabricated and tested accordingly and the corresponding results are presented. The design is validated using the commercially available simulating software CST Microwave Suite and the results are compared with the measured values and a good agreement between them is obtained. The structure is better suitable for reconfigurability applications when attached to an antenna with the appropriate biasing network and finds many applications in wireless communication systems.Â Â
Load Balancing in Cloud Systems Using Dynamic Chained Failover Algorithm
Authors: Sangeetha M. , K.Senthil Kumar K. , Parimala G.
Published: July 2024

Large-scaled cloud systems have been there in various domains by extendinglarge number of resources. Efficient allocation of shared assets in cloud is a vital but provocative issue. It is known that existing load balancing policies like Random,size-based polices, Join Shortest Queue are implemented in cloud as they are simple and efficient. The performance of the above mentioned policies decrease when workloads are temporally correlated. We propose the new load balancing method, Dynamic Chained Failover Algorithm in this paper where particular time period at which the server is getting overloaded is taken and particular task which causes overloading in particular interval is placed in all servers as a replica instead of data reallocation. Overall system performance is increased. Exploiting capable server to improve the system performance is thus demanded.Â Â
Reforming Performance Appraisal for Agile Software Development Projects
Authors: Md Rejab Mawarny , Noble James
Published: July 2024

Changes in software development methods should lead to changes in an organizationâ€™s performance appraisal system. Several organizations, however, have adopted Agile software development methods without reforming their performance appraisal. Performance appraisal should be aligned to Agile values, principles, and practices, which advocate interactions, collaborations, teamwork, and knowledge transfer. Through a Grounded Theory study involving 48 Agile practitioners and external specialists, we discovered two major changes to performance appraisal for Agile teams: integrating individual and team performance assessment criteria, and shifting from quantitative to qualitative measurement of performance. Our findings indicate that reforming performance appraisal tends to influence successful expertise coordination in Agile teams. This study can be a baseline in generating an Agile-compliant performance appraisal to assess Agile team members in a fair and consistent manner. This indirectly increases motivation amongst team members and tends to produce capable workforce to perform at a higher level.Â Â
Current Trends Overview on Malaysian Higher Education System towards Industry 4.0
Authors: Maria Meylinda , Shahbodin Shahbodin , Che Pee Naim
Published: July 2024

Industrial revolution has taken its place globally with the term of Industry 4.0. Moreover, it triggers the new term of Education 4.0 as one of the impacts which came from the education sector. The aim of this study is to provide a view of the current trend in the industrial revolution â€“ Industry 4.0, Education 4.0, followed by the look on higher education system in Malaysia. Focused on the efforts made by the Malaysian government of higher education (MoHE), it is shown that Malaysia is aware on this current global issue and is preparing to implement Industry 4.0 and Education 4.0 to their current system.Â
A Study on the Environmental Technological Innovation Strategy of a Malaysian Firm
Authors: Fakhrul Yusuf Muhammad , Ashari Hasbullah , Rizal Razalli Mohd
Published: July 2024

Firms all over the world have pursued sustainable development to be competitive in the marketplace. The purpose of this case study is to examine the factors that enable a firm to pursue the environmental technological innovation (ET-innovation) strategies and how it effectively leverages its resources to achieve the environmental and business targets. This case study also wants to understand how well the firms ET-innovation activities can be explained by stakeholder theory, resource-based view and dynamic of innovation model. This paper uses a qualitative approach and the coding analysis was done on QSR NVivo. The data collection was done through interviews and also compared with other data sources (company brochures, reports, letters, speeches, memos, videos, newspaper articles, trade magazine articles, magazines articles, reports, website articles and technical reports) for triangulation purposes. This research showed that the ET-innovative firm in this case study has leveraged their employee technical abilities to be successful in their respective market. Another factor is the ownerâ€™s high interest in innovation and environmental protection, and involvement in the design and marketing of their eco-product. Despite stakeholdersâ€™ different targets, the case study firm manages to acquire support from their stakeholders through common objective which is to see a successful ET-innovation. Finally, it is proposed for the firm to be aware of the dynamics of eco-product lifecycle while also use current tools to manage their eco-product development especially in the earlier development stage.Â Â