bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effectiveness of Using Malay Affixes for Handling Unknown Words In Unsupervised HMM POS Tagger
Authors: Mohamed Hassan , Omar Nazlia , Aziz Mohd Juzaiddin Ab
Published: July 2024

The challenge in unsupervised Hidden Markov Model (HMM) training for a POS tagger is that the training depends on an untagged corpus; the only supervised data limiting possible tagging of words is a dictionary. A morpheme-based POS guessing algorithm has been introduced to assign unknown wordsâ€™ probable tags based on linguistically meaningful affixes. Therefore, the exact morphemes of prefixes, suffixes and circumfixes in the agglutinative Malay language is examined before giving tags to unknown words. The algorithm has been integrated into HMM tagger which uses HMM trained parameters for tagging new sentences. However, for unknown words their parameters are absent. Therefore, the algorithm applies two methods for assigning unknown wordsâ€™ emission to HMM tagger, first is based on uniform distribution of all possible tags; and second, is based on marginal proportionate distribution of tags. The effective method is proven to be using morpheme-based POS guessing with unknown word emissions substituted by a value proportionate to the marginal distribution of tags.
Dissemination Model for Critical Governments Information
Authors: Osaimi Najd Al , Alghowinem Sharifa
Published: July 2024

Sharing information would not only raise awareness and increase knowledge, but could also save lives. Occasionally, governments need to provide critical information to citizens accurately and in a timely manner. There are different information dissemination channels such as: Television, Radio, SMS and Social Media. However, these channels have several limitations. A dissemination approach is needed that intelligently target specific citizens with critical information that concern them from trusted sources on time. In this research, we propose a dissemination model that addresses these issues and utilizes the needed features. Comparing several dissemination architectures, the proposed model is an enhanced architecture designed based on publish/subscribe. The study proposed a novel idea of information dissemination by integrating many trusted sources in a unified source that can be accessed by the stakeholders at any time. The study would be a building block for an official information dissemination system in Saudi Arabia.
A New Model on Mixed Reality for 3 Dimensional (3D) Geospatial Terrain in Enhancing the Situational Awareness amongst Military Decision Makersâ€™
Authors: Wahab Norshahriah Binti , Narjun Nur Syuhada Binti Muhamad , Ramli Suzaimah , Zainudin Norulzahrah Mohd , Hasbullah Nor Asiakin , Afiza Mat Razali Noor , Isa Mohd Rizal Mohd
Published: July 2024

Decision making process in military require military who are capable and highly skilled of having a complete set of skills in making decision as well as situational awareness (SA). However, the ability and skills the decision maker have are not sufficient without an efficient and effective interaction and control between the equipment and decision maker in conducting an operation. In this day and age, people are exposed to mixed reality concept in line with the growth of software application technology where people started to demand on their needs for applications used. In fact, software application have shown a rapid development in computing technology world regarding processing power, memory capacity and battery life simultaneously with the new technology supplied such as improvement of the connectivity, external peripherals, GPS and location-based services. This paper proposes the implementation of mixed reality technology specifically in design on 3 Dimensional (3D) geospatial terrain to conduct the military decision making in an operation. The research was carried out to determine the appropriate elements and features of mixed reality for this application consists of anything containing pure or virtual elements, mixed reality space and interaction, reaction, and interaction within 3D mixed reality object. This mixed reality application is considered to provide an effective and efficient 3D map that can interact and control for military operation. Usability testing is selected to conduct the experiment in an open area, assigning the test participants as clients and the evaluator to observe and collect data from the participants. In summary, the research proposes a mixed reality for 3 Dimensional (3D) geospatial terrain in enhancing the situational awareness amongst military decision makersâ€™.
Military Capability Sustenance: Providing Effective Supports Through Lifespan
Authors: (Retired) Lt Kol Hamzan bin Abd Jamil , Nair Lt Kol Mahendar a/l Sekaran , Murr Lt Kol Ass Prof Ir. Dr. Muhamad bin , Ismail Ass Prof Dr. Mohd Nazri bin
Published: July 2024

The focus of this paper is to evaluate the implementation of Integrated Logistics Support (ILS) in the Malaysian Armed Forces (MAF). ILS is a disciplined and structured analysis approach, encompasses of management and technical activities, aimed to identify and improve supportability to achieve reliability and availability at optimising life-cycle costs (LCC) in the defence capability development processes. The Logistics Support Analysis (LSA) is use to evaluate the ILS activities implemented for armoured vehicles. Improper implementation would result inefficient and ineffective whereby the assets cannot be sustained which eventually lead to low level of operational readiness. Therefore, a unique MAF process needs to be developed, adapted and properly applied with the ILS principles in all phases of the development process.
Association Analysis of Cyberbullying on Social Media using Apriori Algorithm
Authors: Zainol Zuraini , Wani Sharyar , Nohuddin Puteri N.E. , Noormanshah Wan M.U. , Marzukhi Syahaneim
Published: July 2024

With the phenomenal increase in use of Social Networking Service (SNS) and mobile technology, the consequences of cyberbullying have become an epidemic. More than 80% youth use cell phones making them extremely vulnerable to the abuse and one in three young people have been found victims of this problem. There are many different methods of detection cyberbullying behaviour patterns however rarely any focuses on analysis based on association especially in Malay language. Learning and detecting using association is a natural communication phenomenon that can help to identify abusive content from the hidden corpora, which often goes unnoticed. Association helps to identify trends, rules and patterns of the bullies and detects abusive content considering whole sets rather than focusing on single instances. The current work focuses on detection of cyberbullying instances by association analysis using the Apriori Algorithm. It mainly focuses on detecting bullying and aggressive behaviour on Twitter. Over 80 different patterns with high confidence levels were detected that can be successfully implemented for the detection process. The high confidence levels are indicative of the efficiency of association analysis for cyberbully detection in SNS.
The Intelligent System in IT Governance: A review pointing the Institute of Higher Learning in Malaysia
Authors: Mukhlas Amalia , Beh Delina M.Y. , Ahmad Aishah
Published: July 2024

The established governance of IT in higher learning institution is necessary for institution to address the key issues successfully. This study initiates to investigate existing research of Information Technology Governance (ITG) focusing Institute of Higher Learning (IHL) in Malaysia. The research aims to discover the up-to-date tabulation of Intelligent System (IS) research covered by ITG domain, to identify the structure of research being performed in this area, to identify the outcome produced by conducted study as well as recommendation of study to be performed in future. The investigation performed through a systematic review from literature to answer the research questions. The outcome indicates the opportunity of area to be researched involving intelligent system in ITG domain and intelligent system for decision-making to support ITG in IHL. The qualitative approach found to be the method use for information collection. The approach of multiple case studies and scientific result to support future method is recommended. The contributions of this study are to produce the review and mapping of studies to identify research areas that has been covered besides identifying potential investigation to be explored in future. The significance of our findings is essential for the start-up research of intelligent system in ITG focusing the IHL in Malaysia.
Leader of Character Framework for Bachelor Degree in Maritime Technology Graduates
Authors: M.R Zulkifly , J.W Tang , I Sarah , A.R. Ainul , R. Afiqah , Afizi M.S. Mohd
Published: July 2024

The current employability of Bachelor Degree in Maritime Technology graduates needs to be improved to meet the requirements of stakeholders such as Royal Malaysian Navy, maritime agencies and industries. Hence, the curriculum of this degree needs to be reviewed to produce the right graduate to serve the maritime agencies and industries. The research was done through brainstorming, discussion, meeting and decision by a Committee Member established by the faculty. The finding of the committee concluded that all UPNM students will be assessed on six attributes as Leaders of Character which include: a graduate officer, commissioned officer, sports person, imam, master in self-defence, and lastly an officer and a gentleman or lady. The graduate officer assessment is based on academic performance reflected in his/her CGPA to be above 2.7. The naval cadet officer assessment is based on the successful completion of training to be commissioned into Royal Malaysian Navy. To be a sports person, a student must register in at least one sport in the co-curriculum courses. The spiritual leader assessment for a Muslim to an imam and to read sermon during Friday prayers whereas a Non-Muslim will learn to pray and worship in his/her religion. Self-defence will be assessed through self-defence courses such as taekwondo or other parts of self-defence. An officer and a gentleman or lady is assessed by observing on the attitudes, ethics, morals, courtesy, positive values, determination, behaviour and lastly discipline. The assessments are reported through radar plots, which include six attributes in the LoC. The Bachelor Degree in Maritime Technology graduate who acquires all the six attributes will be awarded with a Diploma in LoC as an added value in their degree for their future employment.Â
The Design of Promoting Building Energy Saver with Mobile Controller
Authors: Azliana Akmal Jamaludin Nor , Ahmad Arniyati , Fatimah Awang Nor , Zainol Zuraini
Published: July 2024

Today, advance development of automation technology has totally changed our life that much easier in all aspects.Â  This cause the automatic systems are more preferable over manual system. Since the increment of internet users over the past decade has made Internet as essential part of our life.Â  With arising of Internet of Things (IoT) technology as expanding network that connect every object from manufacturing machine to userâ€™sÂ  home appliances forÂ  information sharing. This support the usage of IOT in Wireless Smart Building System to handle basic building functions automatically over internet from anywhere. Although smart building previously used to save the electric power and human energy, building with automation system differs from other system because it allows user to operate the system remotely through the internet connection. In this study, we present a design of a Smart Building System using Arduino that consist of cloud and wireless communication which allows user to control their home appliances like fans, light, air conditioner and many moreÂ  in their building and storing theÂ  usage data in the cloud. The building system adjusts automatically based on sensorsâ€™ data. The designed system was low cost and expandable, which accept a variety of devices to be controlled. This paper shares the architecture designs and development methodology of the system.Â Â
Real-Time Water Quality Monitoring with Multi-Sensors
Authors: Nizam Husen Mohd , Ismail Roslan , Hamzah Robiah
Published: July 2024

Water quality monitoring plays an important role in human well-being, environmental preservation and sustainability. This paper presents the study that has been carried out on the development of water quality monitoring with the tenacity of alerting the user with real-time and online water quality information based on important parameters through a web-based dashboard. The sensors are able to measure the parameters of water quality, such as turbidity, pH, temperature, and the level of the water. Audio and coloured lightings alert are triggered when any water quality parameter reaches unsafe levels. A Wi-Fi transmitter module sends the data to the receiving node over long distance range and display the output in real-time. The result demonstrates that a real-time with multi-parameter remote monitoring of water quality data can be precisely attained and displayed in real-time by using the proposed monitoring system.Â Â
Identifying the Most Effective Feature Category in Machine Learning-based Phishing Website Detection
Authors: Lin Tan Choon , Leng Chiew Kang , Musa Nadianatra , Hanani Abang Ibrahim Dayang
Published: July 2024

This paper proposes an improved approach to categorise phishing features into precise categories. Existing features are surveyed from the current phishing detection works and grouped according to the improved categorisation approach. The performances of various feature sets are evaluated using the C4.5 classifier, whereby the content URL obfuscation category is found to perform the best, achieving an accuracy of 95.97%. Additional benchmarking is conducted to compare the performance of the winning feature set against other feature sets utilised in existing phishing detection techniques. Results suggest that the winning feature set is indeed an effective feature category which has contributed significantly to the performance of existing machine learning-based phishing detection systems.Â Â
An Industry Involvement to Enhance the HCI Small-Scale Project Learning Experience
Authors: Kamaruddin Azrina , Indriasari Mansor Evi , Indriaty Admodisastro Novia , Mohd Norowi Noris , Abdullah Salfarina
Published: July 2024

Human-computer interaction (HCI) is one of the courses that require in-depth involvement with the end-user to build usable and useful software. The course consists of both theory and practical aspects. One element in this course is doing project work. Throughout the semester, the project has been about a lecturer assigning groups of students with project topics for them to complete by the end of the semester. It is a common practice and has led the students to stagnant learning experience throughout the semester. In order to make studentsâ€™ learning experience more challenging and engaging, the project has included the industry as part of its 14 weeks duration. The industry was involved in giving the project title, persona, and conducted formative and summative assessments. Finally, an interview session was conducted with the students to obtain information about their learning experiences with the industry involvement while doing their project. The study received both positive and negative feedback from students about this approach.Â Â
Understanding Factors that Affect Information Technology Outsourcing of Government Shared Services
Authors: Ahmad Fadzilah , Ali Rosmah , Maarop Nurazean , Firdaus Mohd Azmi Nurulhuda
Published: July 2024

One of the Public Sector Information Communication Technology Strategic Directions for 2016 â€“ 2020 is to optimize shared services through a centralized and structured initiative. Due to some identified problems and challenges in managing the IT outsourcing arrangement, this study aims to explore the factors that could influence the success implementation of Information Technology (IT) outsourcing of government shared services (GSS) in the case of Malaysian public sector. The motivation in this study is originated from the clear problem in outsourced GSS implementation. This study was initiated by reviewing the literature on the currents issues and best practices across countries regarding the implementation of outsourcing shared services. The result is presented based on qualitative case study entailing interviews with key informants to gather information and the data analysis was performed based on the content analysis. Subsequently, nine factors that potentially influence the successful arrangement of IT outsourcing of government shared services were identified and organized into 4-domains: Strategy, Organization, Transformation and Operation.Â Â
Knowledge Management Strategy and Initiative for Development of Digital Energy Hub
Authors: Bin Kasim Hairoladenan , . . , . .
Published: July 2024

This article revised several Knowledge Management (KM) strategies and initiatives, in order to develop the digital energy hub. This digital platform employs robust computers and network technology to cater for a wide-range exchange of information and knowledge, which eventually supports new businesses, collaboration and globalization for the energy players. The objective of this article is to analyze KM strategy and initiative for the purpose of developing a digital energy hub. Among the important strategies are goal setting, KM leadership, structure and skill; supported by essential initiatives such as knowledge creation, transfer and sharing.Â  Thus, by accurately identifying the relevant KM strategies and initiatives, the probability for future development and deployment of this platform to be successful can be enhanced.Â
Enhancing Scrum Framework: a Case at a Multinational Manufacturing Company in Malaysia
Authors: Mariyappan Shalini , Lee Abdullah Nasuha , Idrus Rosnah
Published: July 2024

Many organizations today are adopting Scrum, an Agile methodology for handling complex software project. Despite all the benefits, there are still issues and challenges in adapting to Agile and some refusals to move from traditional method. This research aims to assess the perception of effectiveness of implementation of Scrum and identify the challenges after adopting Scrum in an information Â Â Â Â Â Â Â Â Â technology (IT) department of company X, a multinational manufacturing company in Malaysia. The findings of this study revealed that after one year of adopting Scrum, the perceptions from the staff is there is no significant improvement made. Five challenges wereÂ Â  Â identified: team members unaware of each otherâ€™s tasks, difficulty in handling daily task priorities, no work synchronization among Â Â Â Â Â Â Â Â Â Â Â management and delivery team, too many tasks at the middle of sprints and poor attendance during daily stand up meeting. An enhanced Scrum framework that uses Scrum and Kanban is proposed to address the identified challenges. The insights gained from this research hope to provide practitioners with useful reference for adopting scrum.Â Â
A Two Dimensional Facial Features Analysis for Gender-based Comparison Using Morphometrics Approach
Authors: Agbolade Olalekan , Shahrel Ahmad Azree , . .
Published: July 2024

Making a gender comparison between male and female is not a difficult task for human beings but the science of gender comparison of faces by humans is completely unfathomable due to commonality of gender comparison in both humans and other animal species. Significant gender differences between masculine and feminine exist in many facial regions such as eyes, nose, mouth, cheek and chin; which have not been critically looked into. This research characterizes and analyzes the gender comparison in the human face as a function of face features and identifies the features which contribute significantly to the uniqueness of the face using morphometrics techniques such as Principal Component Analysis (PCA), Thin-Plate Spline (TPS) Warping and Procrustes Superimposition (PS). The results demonstrate that the male face is significantly different from that of female based on the analysis of the selected facial features which provides the basis for gender-based comparison of faces.Â
Systematic Review on Ear Identification
Authors: Alemran Ahmad , Binti Rahmatullah Bahbibi , Hadi Ali
Published: July 2024

Context: The topic is permitted from modern topics of interest for researchers to find logical solutions to problems of detection and recognition for ear identification. Therefore, we are looking for a solution to the problem of occlusion, detection and recognition of the person create an integrated system based on the latest research and to find new results in terms of accuracy and time and be comprehensive for everything.Objective: To survey researchersâ€™ efforts in response to the new and disruptive technology of ear identification systems, mapping the research landscape form the literature into a coherent taxonomy.Method: We use a systematic review as the basis for our work. a systematic review builds on 249 peer-reviewed studies, selected through a multi-stage process, from 1960 studies published between 2005 and 2017.Results: We develop a taxonomy that classifies the ear identification systems. The results of these articles are divided into three main categories, namely review and survey article, studies conducted on ear biometrics and development of ear biometric applications.Conclusion: The paper is, to our knowledge, the largest existing study on the topic of ear identification. This typically reflects the types of available systems. Researchers have expressed their concerns in the literature, and many suggested recommendations to resolve the existing and anticipated challenges, the list of which opens many opportunities for research in this field.Â Â
Privacy Preserving Technique for Mitigating Anonymity Attack in Pervasive Social Networking Applications
Authors: Ayuni binti Adnan Nurâ€™ , Mahinderjit Singh Manmeet , Jantan Aman
Published: July 2024

Pervasive Social Networking (PSN) applications become more popular in the last few years. The uses of PSN applications through mobile devices such as smartphones, tablets will lead to the security and privacy issues. This is because users tend to share their personal information with the third party organizations such as applications in mobile devices. Due to the development of social network, the security and privacy need to be improved as well as others to make sure that all the userâ€™s information is protected securely in social network (SN). In this study, we will focus more on the privacy issues on how to preserve the privacy of userâ€™s data from being known by the third party. The dataset of PSN application will be tested using data mining tool, which is Weka, in order to identify the optimal technique and classifier that can be applied to conceal the information. Then, a new enhanced base learner will be proposed, which is masking technique algorithms will be implemented into the dataset of PSN application at the end of this research.Â Â
Attributes Correspondence Discovery in Ontology Instance-based Matching and RDF Data Linkage using Clustering Method
Authors: Abubakar Mansir , Hamdan Hazlina , Mustapha Norwati , Noranis Mohd Aris Teh
Published: July 2024

One important aspect of ontology instance matching process is elements or attributes discovery. It specifies element correspondences in order to produce potential matching elements; otherwise, all elements of a class in the source ontology have to be compared with all elements of class in the target ontology. This heavy comparison is time-consuming and resulted in the poor performance of the matching system and makes the matching incomplete. Matching two or more ontologies and RDF datasets requires complete instance matching so as to establish logically equivalent relation among semantically related entities of the data sources. This deems challenging because of the existence of semantic heterogeneity and presence of irregular data in the RDF data sources which makes elements discovery and feature value extractions difficult. Thus, we proposed a four-step elements discovery method that utilizes unsupervised K-Medoids clustering algorithm in discovering potential matching elements pairs. To ensure generalization, we take unsupervised Canopy Clustering method to be the baseline for our evaluation. In terms of scalability, our method outperforms the baseline method with approximately 99% in both Pair Completeness and Reduction Ratio as against 60% and 86% respectively in the baseline. In mapping pattern generation, our method also outperforms the baseline algorithm with the overall F-Measure of ~91% against ~85%. The result of comparism with other methods justifies the significance effect of clustering attributes in the initial stage of the instance matching which can save about 50% of the comparism.Â Â
Role Minimization as an Optimization Metric in Role Mining Algorithms: a Literature Review
Authors: Abd. Hamid Nazirah , Ahmad Rabiah , Rahayu Selamat Siti
Published: July 2024

A recent access control model that could accommodate a dynamic structure such as cloud computing can be recognized as role based access control and the role management process of this access control can be identified as role mining. The current trend in role based access control is the role mining problem that can be described as the difficulty to uncover an optimum set of roles from the user-permission assignment. To solve this problem, the researchers have proposed role mining algorithms to produce role set and among the existing algorithms there is an intrinsic topic of the common perception to evaluate the goodness of the generated role set. Eventually, the value of the identified roles could be measured by the preferred metric of optimality namely the number of roles, sizes of user-assignment and permission-assignment and Weighted Structural Complexity. Until now, there is some disagreement on the optimization metric but notably many researchers have agreed on the minimization of the number of roles as a solid metric. This paper discusses an overview of the current state-of-the-art on the recent role mining algorithms that focus on role minimization as an optimization metric to evaluate the goodness of the identified roles.Â Â
HARIRAYA: a Novel Breast Cancer Pseudo-Color Feature for Multimodal Mammogram using Deep Learning
Authors: Shahrel Ahmad Nazri Azree , Agbolade Olalekan
Published: July 2024

Breast cancer is the leading cancer in the world. Mammogram is a gold standard for detecting breast cancer at earlier screening because of its sensitivity. Standard grayscale mammogram images are used by expert radiologists and Computer Aided-Diagnosis (CAD) systems. Yet, this original x-ray color provides little information to human radiologists and CAD systems to make decision. This binary color code thus affects sensitivity and specificity of prediction and subsequently affects accuracy. In order to enhance classifier modelsâ€™ performance, this paper proposes a novel feature-level data integration method that combines features from grayscale mammogram and spectrum mammogram based on a deep neural network (DNN), called HARIRAYA. Pseudo-color is generated using spectrum color code to produce Spectrum mammogram from grayscale mammogram. The DNN is trained with three layers: grayscale, false-color and joint feature representation layers. Empirical results show that the multi-modal DNN model has a better performance in the prediction of malignant breast tissue than single-modal DNN using HARIRAYA features.Â Â Â
Channel Estimation in OFDM Multipath Fading Channel Systems According to Modulation Schemes
Authors: Abdullah Al-Saadi Alaa , Latip Rohaya , Muhammed Abdullah , Helmy Abd Wahab Mohd
Published: July 2024

Orthogonal Frequency Division Multiplexing system (OFDM) is a very popular communication technique. It is applied nowadays in several wireless network modern systems. Wireless communication system has some limitations; one of them is Multi Path Fading Channel. This issue leads to impact and deteriorate data signal severely which causes the inter channel interferences (ICI). Therefore, our paper is specifically focused on study of the importance of applying channel estimation in OFDM system which leads to be close to an accurate data. Basically, there are many types of channel estimation techniques, e.g., Least Square Error Estimation (LSE) and Minimum Mean-Square (MMSE). In our study, we utilised LSE and proved the necessity of applying channel estimation in multi path fading channel based on QPSK modulation scheme. We verify that by applying simulation codes in Matlab. Moreover, we make a comparison by sending data, e.g., Baboon image with and without channel estimation technique. Our study is to proof the importance of channel estimation with multi path fading channel in OFDM technique.Â Â
Head Gesture Recognition and Interaction Techniques in Virtual Reality: a Review
Authors: Nasuha Zolkefly Nurul , Ismail Ismahafezi , Safei Suhailan , Nor Wan Shamsuddin Syadiah , Azhar M. Arsad Mohd
Published: July 2024

This paper presents a review of head gesture recognition using specific models by year timeline. The related minor topics of this project also mainly discuss (a) Virtual Reality interaction techniques, (b) Virtual Reality head gesture interaction, and (c) Mobility Impairments using Virtual Reality (VR) System. This study contributes to an exploration of a different body part of the gestural input, which is the head gesture as the main interaction approach in virtual reality (VR). This review also prepares new insights of head gesture from how the model theoretically recognizes the gesture and implemented as input modality and interaction in virtual reality (VR) environment.Â
Design Models for Mobile Augmented Reality Exergames: State-of-the-Art Review
Authors: Lynn Hashim Hasdina , Kamaruddin Azrina , Wirza O.K. Rahmat Rahmita , Hazri Jantan Azrul
Published: July 2024

The sedentary lifestyle is common in this digital age and a cause of concern as it encourages individuals to elicit sedentary behavior i.e. lower instances to being physically active. This lifestyle affects the major portion of the population; with obesity being a major risk and a factor for many cardiovascular diseases such as coronary heart rate disease, heart failure, stroke etc. Use of mobile devices may be linked to the increase of sedentary individuals; however, its usage could also be utilised to encourage fitness awareness among its users. Incorporating interactive digital applications such as exergames, a combination of exercise and games, to mobile devices could provide the means to encourage fitness activity for sedentary individuals through physical gameplay. This paper explores the current design models of exergames and how their usage can affect changes to the psychological and physiological states of the players as well as the promising directions for adapting their usage for the mobile environment through augmented reality immersion.Â
Educatorsâ€™ Readiness in using Mobile Phone as a Pedagogical Tool for Teaching
Authors: Nurâ€™ain Hamsan Siti , Abdul Aziz Maslina , Taslim Jamaliah
Published: July 2024

Owing to the rapid growth of technology, higher educational institutions are looking for new learning systems. One of the evolutions of classroom technology is using mobile phone for teaching-learning or m-learning. The use of mobile phone in classroom is still new in Malaysia. Therefore, this research aims to study educatorsâ€™ readiness in integrating mobile technology in the teaching process. The objective of this study is to identify the level of technology readiness among educators in higher education institutions towards the implementation of mobile phone as pedagogical tools in the teaching and learning process. Besides that, this study identifies the relationship between the dimensions of technology belief and educatorâ€™ readiness. In order to achieve this objective, quantitative approach and questionnaire instrument are used to gather data from the respondents. This study adopts Parasuramanâ€™s study on Technology Readiness Index (TRI). The findings show that there is a high level of technology readiness among educators with a positive and significant relationship between the dimensions of technology belief and educatorsâ€™ readiness with optimism as the main influencer. The findings from this research may provide some key consideration to the higher education institutions to determine the greatest solution in ensuring the successful of m-learning post-implementation.Â
A Logical Approach for Real Time Big Data Analytics on Heterogeneous Nosql Databases
Authors: HAJOUI Omar , Talea Mohamed
Published: July 2024

NoSQL databases are developed to provide a set of new big data management features while overcoming certain limitations of relational databases. However, these databases are heterogeneous; they provide different mechanisms for storing and retrieving data, which directly affect the performance, consistency and availability of data. In addition, they offer different models of data storage, different implementations, query languages and APIs. This wide variety of platforms makes data interoperability difficult. Data interoperability can be defined as the ability of an application to interact at the same time with a set of different and heterogeneous systems. The goal of our research is to design a new approach that makes it easy for applications to analyze and explore data stored in multiple NoSQL databases. Our approach is based on a Meta model for transforming data from one model to another. Also, we have developed a common API that hides the access specificities of each NoSQL database while allowing the transformation of this data into JSON format.Â Â
Investigation of the Nucleation Kinetics of Bi and Î”-Bi2O3 During Electro-Deposition on Substrate ITO
Authors: Lghazi Y. , Bimaghra I. , El Bachiri A. , Elmerzouki K. , Youbi B. , Lasri H.
Published: July 2024

Bismuth and there oxide (Î´-Bi2O3) thin films were deposited on ITO substrates by electro-deposition method. First a cyclic voltammetry study, over a wide range of potentials, with the mounting of three electrodes and an electrolytic solution of 0.01M Bi(NO3)3.5H2O, 0.25M tartaric acid and 2.5M KOH. Towards cathode potential -900mV / SCE we observed the peak of reduction of Bi (III) to Bi (0). When scanning towards increasing potentials we observed a nucleation loop on the electrode, which indicates that there is nucleation, followed by an oxidation peak of Bi (0) to Bi (III). Then we carried out a study of the germination kinetics by carrying out transients current at potentials close to that of reduction peak. The comparison of our transients curves obtained by the chrono-amperometric method with the theoretical transients curves of Charifker and Hills allows us to say that the nucleation is three-dimensional and progressive at a poteniel of -940mV and -950mV but, at a potential of -980 that seems rather for small deposition time a progressive nucleation that can change to an instantaneous nucleation. The characterization of one sample was carried out by X-Ray diffraction, showed that the film was pseudo-fluorite structure. The preferred orientation of the crystallites is (200) for the as deposited film.Â
Novel Hsv Colour Space based Threshold Method for Vegetation Extraction and its Performance on Landsat TM Images
Authors: Maarir Abdelkrim , Benyoucef Abdelhalim , Bouikhalene Belaid
Published: July 2024

This paper deals with a novel proposed vegetation extraction method applied in multi spectral satellite images (Landsat TM). This proposed method essentially consists of three steps: image enhancement using histogram equalisation, image transformation to new colour model called HSV (Hue, Saturation, and Value) and thresholding application on Hue and Saturation components.Â  For post-processing a hybrid filter median has been used to improve the results and remove isolated pixels. The proposed method is applied to three different scenes of Beni Mellal region in Morocco. The obtained results are compared with two other thresholding methods. Pixels identified as vegetation have an average sensitivity value of 95.88% and an accuracy value of 93.02%.Â Â
Adsorption of Organic Dye Methylene Blue on Activated Carbon Prepared from Wood
Authors: Elmerzouki Khadija , Bimaghra Itto , Sahlaoui Ahmmed , Lghazi Youssef , Ait himi Mohamed
Published: July 2024

Developing countries are the most exposed to pollution problems. To cope, they must develop integrated environmental management policies (water management, air treatment, treatment of industrial effluents, etc.). As a result, different treatment methods must be used to reduce these problems. This work aimed to evaluate the feasibility of fixing organic dye such as methylene blue using activated carbon (ACW) prepared from inexpensive precursor (sawdust) by chemical and thermal activation. The adsorption efficiency depends on several parameters such as the initial pH of the solution, the contact time and the mass of ACW. The adsorption isotherms were studied according to the Freundlich and Langmuir models, and the best was chosen on the basis of the comparison of their correlation coefficient results.Â Â
Extended Enterprise Metamodeling for Strategic Information System Alignment: Case Study
Authors: Falih N. , Abouhilal A. , . .
Published: July 2024

The enterprise meta-modeling is an important process for studying and managing organizations in order to improve their performance; it allows representing all views of the company for better governance. In this paper, we propose an extension of the ISO/DIS 19940 Meta-model by adding strategic constructs and specific tools from the Cobit framework. This extended meta-modeling allows a systemic and holistic analysis based on Galois lattices to intelligently drive the alignment of several components of the company. We also present a case study in a Moroccan transport company. We analyze a particular structural matrix to identify any relevant information that may contribute to process reengineering for Information System governance.Â Â
Application of Artificial Intelligence Technologies for the Monitoring of Transactions in AML-Systems Using the Example of the Developed Classification Algorithm
Authors: G. Magomedov S. , S. Dobrotvorsky A. , M.P. Khrestina M. , A. Pavelyev S. , R. Yusubaliev T.
Published: July 2024

The article describes the application of artificial intelligence technologies in Anti Money Laundering (AML) systems for the purpose of transaction monitoring by the example of the developed transaction classification algorithm using machine learning methods. To improve the effectiveness of the algorithm a novel mechanism for forming a unique set of characteristics for the transactions and the participants of financial processes has been developed and a method for constructing a transaction graph has been proposed.Â Â
The Procedure for Identifying the Compliance of the Performerâ€™s Competencies with the Stated Requirements Based on The Bayesian Approach
Authors: V.Zaitseva T. , V. Lomakin V. , P. Putivtseva N. , P. Pusnaya O. , V. Ilyinskaya E.
Published: July 2024

Â The article proposes a procedure for the selection of personnel to perform specific activities based on a comparison of the general professional and professional competences obtained in the training process to the required level of qualification in order to effectively allocate labor resources. In this paper, a fragment of an example of the implementation of the procedure based on the use of professional standards for the large group 06.000 - Communication, information and communication technologies. The use of posterior probabilities calculated during the implementation of the procedure allows management personnel to make a decision on the selection of personnel with the most appropriate qualification for solving a particular task.Â Â
A Study on Ship Manoeuvring Simulation and Ship Trajectory Optimization Based on Sqp and Bfgs Algorithms from Sea Trials
Authors: Khanh Toan Tran , . .
Published: July 2024

In this study, a procedure is proposed to optimize the shipâ€™s trajectory by identification of optimal hydrodynamic coefficients from sea trials, which coupled the dynamic ship motion model with optimization techniques. In order to assess efficiently the hydrodynamic parameters, a sensitivity analysis is first per- formed to identify the most sensitive coefficients, then an identification procedure, based on SQP and BFGS algorithms, is carried out to determine optimal hydrodynamic parameters. The validation of this procedure is done for Turning Circle and Zig-Zag tests by using experimental data of sea trials of the Esso Bernicia 193000DWT Tanker model. Comparisons between experimental and computed data show a fair agreement of overall tendency in ship trajectories. The RMSD (Root-Mean-Square Deviation) of ship trajectory decreases from 68.0m to 5.8m in Turning Circle test, and RMSD of yaw angle decreases from 17.3deg to 6.6deg in Zig-Zag test.Â Â Â
Comparative Analysis of Tools for Modelling Business Processes of Organization Management
Authors: Lomakin V. , P. Putivtseva N. , V. Zaitseva T. , P. Pusnaya O. , M. Zaitsev I.
Published: July 2024

The article presents the result of a comparative analysis of software tools that allow modelling business processes of organizations. For comparison, those software tools for modelling business processes that support the BPMN methodology were chosen. As a method of conducting a comparative approach, a comprehensive approach was used, including the use of the hierarchy analysis method, which allows us to find the weight of comparison criteria that were identified on the basis of the analysis of literature sources, Internet resources, and features of the functionality of the business process modelling tools selected for comparison , and a formalized approach that allows calculating the priorities of alternative software modelling tools depending on their grades by dedicated channels on each criterion.Â Â
An Efficient Hybrid Approach in Solving the Multiple Postman Problem
Authors: Shakir Hameed Asaad , Mohd Aboobaider Burhanuddin , Hea Choon Ngo , Habib Bilal Wassim , Lafta Mutar Modhi
Published: July 2024

In this study, the proposed algorithm contributed to the enhancing of solutions of the Multiple Postman Problem m-PP, which is one of the optimization problems that, has attracted a lot of attention at the present time. It is a problem of the NP-hard type. However, because of the complication of polynomial time, there is still no algorithm providing us with the optimal solution of this problem. All the used algorithms give solutions that are close to the optimal one. In this research, we will present the Hybrid Algorithm HA in two phases. In the first phase the Sweep Algorithm SW is applied, and in the second one, the Ant Colony Algorithm and the local search 3-opt are applied. we will then compare the quality of the solution resulted from this hybrid approach with the results of well-known standard tests to determine the effectiveness of the presented approach.Â Â
Novel Deep-Learning Algorithms for the Internet of Things with Smart Applications â€“ An Exploratory Study
Authors: A Mahesh , P. Manimegalai Dr.
Published: July 2024

The establishment of internetworked mobile and embedded applications leads to vision of the Internet of Things (IoT). It gives rise to a world enriched with sensor devices. The day to day corporeal possessions in our everyday situation are progressively enhanced with computing, detecting and communication competencies. Such proficiencies assure to transfigure the interfaces between individuals and physical objects. Such momentous research exertions have been expended toward developing smarter and more user-friendly solicitations on mobile and embedded expedients and sensors. Also, modern progress in deep learning has significantly reformed the approach that computing strategies process human-centric parameters such as images and audio-visual applications. Application of deep neural networks to IoT devices is proficient in the accomplishment of multifaceted sensing and recognition errands to upkeep a new demesne of communications between humans and their physical environments. This paper investigates various forms of deep learning algorithms in Big data processing and applications using smart IoT devices. The integration of process science with data science is studied and the real-time user-friendly solicitations involving Big data analytics and the Internet of Things is summarized.Â Â
A Modern Approach to Comprehensive Competitive Potential Assessment for Service Providers
Authors: R. Zakirova Irina , G. Zainasheva Zarima , F. Shaikhutdinova Gulnara , U. Ibragimova Nuriya , N. Korotkova Lyudmila , D. Mukhametova Diana , . .
Published: July 2024

The relevance of the research is determined by specifics of competitive potential assessment for service providers. The purpose of this research is a comprehensive competitive potential assessment (CCPA) of Russian service providers, including an identification of their competitive positions in the market, as well as opportunities and problems areas in their operational activities to facilitate further management decisions. The paper proposes a methodical toolkit to assess competitive potential of a service provider. Based on the presented technique, a comprehensive competitive potential analysis of the following communications service providers (CSP) has been carried out: MTS PJSC, MegaFon PJSC; VimpelCom PJSC. The following of competitive potential components have been researched: resource, labour, organizational and managerial, innovative, marketing, service and technological. As the result, the potential competitiveness integral indicators calculated for the CSPs have shown the following values: MegaFon PJSC â€“ 36%, MTS PJSC â€“ 35%, VimpelCom PJSC â€“ 29%. The conclusions section of this work contains recommendations on increasing the competitive opportunities of the CPS as well as a substantiation of the practical importance of the presented technique in implementing management technologies for diagnostics of the development of service industries in various sectors of the national economy, including companies of the oil and gas sector. The materials of the article can be useful for managers of service companies and service consumers.Â Â
Immunoferment, Cytomorphological, Cytochemical Parameters of Fish as Ecological Indicators of Resistance to Helminthes, Passed by Fish-Eating Birds
Authors: A. Nefedova S. , A. Korovushkin A. , M. Tunikov G. , A. Fedosova O. , V. Yakunin Yu. , V. Baryshev R.
Published: July 2024

A search for indicators reflecting resistance of fish to helminth infections passed by fish-eating birds has been carried out. A decrease in the concentration of lysozyme by 13.5 % and an increase in hemagglutinin by 7.7 % for the bighead carp (Hypophthalmichthys nobilis), 19.9 % and 7.4 % correspondingly for scaly carp (Cyprinus carpio) and 18.6 % and 11.4 %, respectively for white amur (Ctenopharyngodon idela) identify the fish at risk for the incidence of helminths of Trematoda class (Posthodiplostomum brevicaudatum and Diplostomum spathaceum) and Cestoidea class (Pseudophyllidea). The diffuse-gel method revealed that the dynamics of lysozyme marks resistance of fish to invasions. A decrease in lysozyme indices in the kidney of a bighead carp by 30.1 %, that of a scaly carp by 10.9 %, and that of a grass carp by 6.6 % is an indicator of a decrease in the resistance of the fish to helminths. The positive pool of polysaccharide granulation in the cytoplasm of fish lymphocytes detected by periodic acid Schiff reaction attributes them to the risk group for helminth infections passed by fish-eating birds. A dangerous tendency to decrease resistance to invasions is precipitation of large glycogen granules in lymphocytes of silver carp (up to 2.7 %), scaly carp (up to 2.4 %) and white amur (up to 2.9 %), as well as small polysaccharide inclusions up to 24 %, 54 % and 43 % respectively. Among cytomorphologic markers of fish resistance to helminth infections, an increase (2-4 times) in the number of lymphocytes with caudate nuclei, micronuclei, and chromosome aberrations of the dicentric type is benchmark.Â Â