bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting Customer Churn in Telecom Sector based on Penalization Techniques and Ensemble Machine Learning
Authors: Mahdi Naser Asia , Al-shamery Eman 
Published: July 2024

Customer Churn Prediction model (CCP)aims to detect customers with a high propensity to leave. The target of this research is to handle a large scale Telecommunication Company and identify potential churn. In the proposed research, Predictive Mean Matching (PMM) algorithm used to handle missing values, instead of removing features or observations with high missing data.First Ensemble Machine learning classifieris offered to investigate and compare the combining of an Ensemble learner based on Generalized Linear Model (GLM) and the prediction values based on tree model using a Random Forest classifier. The suggested CCP model employed the Weighted Accuracy and Diversity (WAD) as an algorithm to find the optimal weights for the proposed Ensemble classifier.The second Ensemble learner based on the generalized linear model is incorporated of penalized methods (Ridge, Lasso,and ElasticNet) with a Logistic Regression method on the binomial family. Randomly generate values between [0, 1] became the weights for this classifier. The Weights are selected according to the principle that weights of highervalue are assigned for great performance classifier to ensure the highestaccuracy of Churn Prediction model. 10-fold, based on five times repeated Cross-Validation (CV) performance technique used to enable efficient and automatic search for the optimal value of lambda Î» parameter for penalization methods.The two Ensemble classifiers incorporated within a customer churn prediction model to handle a large scale dataset, time-dependent features label, and an imbalance data distribution in the Telecommunication industry.Experimental results show an increasein predictive performance. In addition, the results depicted that using of ensemble learning has brought a significant improvement for individual base learners in terms of performance indicators such as Area under Curve (AUC), sensitivity, specificity, Accuracy, and Mean Square Error(MSE), Accuracy is the best candidates for churn prediction tasks.Â Â
Study the Effect of Heat Transfer Coefficient and Thermal Conductivity on Cracked Pipes Carrying Pressurized Fluid
Authors: Egab Karim , Raheem Hassan Hassan , A. Khalaf Ali , K. Oudah Saad , Nassar Ameen , Bhuiyan Yeasin , Tikadar Amitav 
Published: July 2024

The cylindrical pipes carrying pressurized fluid at high-temperature environment have many engineering applications such as cooling systems of the power plant. In this paper, the effect of the presence of crack and the thermal stress distribution of the pipe has been studied numerically. The â€œmode Iâ€ type of crack has been considered for the study. The stress distributions, stress intensity factor and J-integral calculations were considered. The results have been validated with an available analytical solution for a pristine cylinder. Special attention and mesh scheme has been used around the crack to obtain the accurate stress distributions. The temperature and stress variations for pressurized fluids with different heat transfer coefficients and pipeâ€™s conductivity were studied. It was found that the convection heat transfer coefficient has an accountable effect on the stress distributions. The stresses increased by 5% for different heat transfer coefficient without cracks. Moreover, the stress intensity factor and the J-integrals were calculated for different crack length ratios. The stress intensity factor increased by 14% when the crack length ratio is 0.7. In addition, the effect of pipe thermal conductivity has been studied. It was found that the thermal conductivity influences the stress distributions, stress intensity factor and J-integral values. The stresses decreased by 15% with increasing the thermal conductivity without cracks, the J-integral and the stress intensity factor decreases as the thermal conductivity of the pipe increases for different crack length ratios.Â Â
Using Magic Cube and a Modified LSB for Audio Steganography
Authors: Salim Mohammed Nuha , Tariq Mustafa Al-Ta'I Ziyad 
Published: July 2024

This paper introduces randomness-based audio steganography with magic square and magic cube cryptography methods that are respectively based on (LSB) or Least Significant, with National institute of Standards and Technology(NIST)and enhancement of LSB audio steganography.This enhancement is based on the mathematical foundations of the magic squareby using three algorithms with any order or any size. Magic square is a branch of mathematical combinatorics. It is one of the different arrays in magic number arrangements. The new proposed technique focuses on normal magic cubes of order from (3to n). The values inside the designed magic cube are used as an index to audio cover locations. These scrambled locations (according to the keys of magic cube) in audio cover are used to LSB embed secret text message. In order to increase the security of the proposed system, the starting number, the difference value, the dimension, and the values inside the magic cube are kept as a secret key. The National institute of Standards and technology (NIST) package is successfully used to test the randomness of the magic cube's keys values. peak signal to noise ratio (PSNR) of audio stegocovers are(62.65743352-79.57336476) dB in which the size of secret text message (256-16) bits.Â Â Â
Practices in sustainable industrial infrastructure and technology: A case study of Gujarat, India
Authors: Abhishek Kumar , Biswas Arindam 
Published: July 2024

Sustainable industrialisation is one of the seventeen Sustainable Development Goals formulated by the United Nations. It has a crucial role to play in achieving sustainability, because it is the driving mechanism for development of a countryâ€™s economy and instrumental to several environmental and social problems. For a developing country like India, it can ensure development in the right direction. Gujarat is one of the most industrialised states in India with high economic returns from the industrial systems but high levels of pollution as well. Some of the most polluted industrial towns in India and the world have been listed from Gujarat. For the past few decades, practices in sustainable industrial infrastructure have been playing a vital role in providing innovative solutions to complicated environmental problems, globally. Gujarat has been a leading State in India to promote these initiatives. The research paper intends to study and understand the direction of sustainable industrial development in Gujarat and presents the SWOT analysis of the existing situation. It includes case discussion of various cleaner production techniques, eco-efficiency and waste management practices.Â Â Â
Surveillance radars onboard stratospheric platform systems (SPS) for ship tracking
Authors: Stojce Ilcev Dimov 
Published: July 2024

In this article is proposed and described new solution for ship tracking via surveillance radars onboard of Stratospheric Platform Sys-tems (SPS) or as known as High Altitude Platforms (HAP). Such tracking system has significant competitive edge in contrast to the surveillance radar at shore or onboard ships, aircraft and spacecraft. The idea and proposal of employing Tracking Surveillance Radars (TSR) onboard SPS is novel and very cost effective as well. Such a system is suitable to be implemented for control of maritime traffic and tracking of ships at sea, approaching to the anchorage, in passages and in coastal waters where must be provided higher security and safety conditions. The TSR system works very similar as radar installed onshore and used for observation and controlling certain part of sea areas for seagoing ships or air space for aircraft. The new proposal of possible placing of TSR onboard three SPS stations between Grate Britain and Ireland islands is presented as well.Â Â
Design of Capacitive Power Transfer (CPT) for Low Power Application using Power Converter Class E triggered by Arduino Uno Switching Pulse Width Modulation (PWM)
Authors: Hasan KK. , Saat2, Y Yusof Shakir , Asraf H Muhammad , Mohd Yusoff Zakiah , Meor Shaari NM , Mustapa MZ 
Published: July 2024

This paper presents Capacitive Power Transfer (CPT) design for low power application using Arduino Uno Switching Pulse Width Modulation (PWM). Generally, the CPT system consists of primary side direct current to alternate current (DC-to-AC) resonant converter that converts DC to high frequency AC energy to the secondary side receiver via energy medium transfer. The secondary side is not connected electrically with the primary side, which is movable (linearly or/and rotating) to offer flexibility, mobility, and safety for supplied loads. The CPT that is examined in this study used TC 4422 and Class E MOSFETs as the main components to power the circuit, which is supported by Arduino Uno technologies to produce PWM signal. One advantage of this circuit is that the Class E MOSFETs yields low switching losses. In technical terms, the performance of CPT is determined by applying 250 kHz frequency and 12 V DC voltage (Adapter) via TC44422 and Class E MOSFETs circuits. Lastly, a CPT prototype has been successfully developed with 0.1 cm air gap between the two plates and generated sufficient power from the transmitter to the receiver plate to power up the devices. Based on the experimental outputs, the prototype exerted 85.49% of efficiency to transmit power, wherein the secondary plate received power at 5.85 V peak and 250 kHz. This research is beneficial for electrical hazardous environment, moveable applications, consumer electronics, and medical implants.Â Â
Haven-Garden System: an Alternative Garden for Temperate-Plants with Microcontroller Application
Authors: Saadah Aris Fadzallah Maryam , Mohd Sani Maizura , Mohd Hussain Mashitah , Kassim Murizah 
Published: July 2024

Based on the concept of current commercialized greenhouse, a simple system is created to control the modified greenhouse into a â€œsheltered-gardenâ€. This modified greenhouse is made to be different from the conventional ones in terms of its size and control system. The size is designed to fit a normal garden instead of a crop, and the system conceived to be low-cost thus much simpler. Named as Haven-Garden, the system is composed of a PIC16F877A microcontroller via programming language written using PIC Simulator IDE which controls curtain, light sensors, exhaust fan, LCD, LEDs and temperature sensor. All these components are integrated to create a controlled environment in ensuring the necessities of temperature, lighting, humidity, and carbon dioxide (CO2) are delivered adequately to the plants. In this study, the system has the ability to make decisions in providing necessary light intensity needed by controlling the openness of the curtain in the Haven-Garden according to the light radiates by the sun. On the other hand, the conventional light controller does not have the ability to solve this kind of issues, and can only be seen as in big greenhouse project and higher scope of crops to be covered. Therefore, this study identifies a design of a simple and low-cost system integrated with hardware circuit of automated controller using PIC16F877A microcontroller, controlling various parameters inside the â€œalternative gardenâ€. A system was successfully been created as an alternative to a contemporary garden but with far more beneficial as it helps in managing all the plantsâ€™ necessities thus organizing the ownerâ€™s time better. In this study, tests cases have illustrated that dynamic control method could be a suitable alternative method compared to conventional control methods that could save electricity consumption and offers ease of use to human being. The input variables were indoor lighting, inference from outdoor lighting, and temperature while the output variables were the required illumination to achieve the standard; presented in LED lighting, an exhaust fan to control the temperature and humidity, curtain to eliminate excessive light from direct sunlight and an LCD to monitor the temperature inside the Haven-Garden for more effectiveness.Â Â Â
FKEPG-LIMS : Fakulti Kejuruteraan Elektrik Kampus Pasir Gudang Lab Inventory Management System
Authors: Yasmin Abdul Rahman Farah , Kasuan Nurhani , Hisham Mat Saat Ezril , Hasliza Abdul Rahman Noor , Iqtiyan Ilham Nur , Noor Suhana Jamil Siti 
Published: July 2024

Information are the most valuable commodity in the modern era. In todayâ€™s lifestyle, society are virtually swarmed with a lot of Â Â Â Â Â Â Â Â Â Â Â information that cannot be misplaced or vanished. This study presents a development of web-based lab inventory management system that is used to record, manage and retrieve the lab equipment and components in Fakulti Kejuruteraan Elektrik Kampus Pasir Gudang namely FKEPG-LIMS. The main purpose of this study is to assist faculty members to view and keep track all the available lab Â Â Â Â Â Â equipment that have been purchased. The users can be classified as the Faculty Head, lab technicians, lecturers and students. The Â Â Â Â Â Â database is developed using MySQL and the HTML script written in PHP and Adobe Dreamweaver used design the web interface. The research has successfully demonstrated the feasibility of FKEPG-LIMS in managing and storing all the information. The stored Â Â Â Â Â Â Â Â information can also be retrieved, edited and deleted. The developed lab inventory management system will benefits users by providing fast and precise solution in inventory management.Â Â
Low-Cost Real-Time Mobile Air-Quality Monitoring System (AQMS)
Authors: Amanina Binti Asim Iman , Murizah Binti Kamarudin Asmaâ€™ , Onn Munirah , Azeehan AzliÂ¬ Shakira , Zainuddin Aznilinda , Mohd Zain Norlina , Kamarudin Hasan Khairul 
Published: July 2024

Air quality is one of the dominant health and environmental interest issues in the world thus it is important to monitor air quality at surrounding area especially in big cities and urban areas. This paper explains the development of a reliable and cost-effective air quality monitoring system (AQMS) that can measure the air quality at indoor and outdoor area and to alert the user of the hazardous air quality index (AQI) level through an alarm system upon detection. By using Arduino platform and various sensors along with a flat-panel liquid-crystal display (LCD) and Bluetooth module, the system detects the level of the hazard gases, temperature and humidity of the area. The AQMS is a portable air quality index (AQI) acquisition device that is simple to carry and provide real-time measurement on the LCD. It is a user-friendly device and handy to operate. The AQMS gives the public an opportunity to monitor the air quality personally and helps to bring awareness on the real-time air quality around them and improve the air quality.Â Â Â
Comparative Analysis of Model Reference Adaptive Controller in Steam Distillation Process for Essential Oil Extraction System
Authors: Kasuan Nurhani , Hezri Fazalul Rahiman Mohd , Nasir Taib Mohd , Hafiz A. Jalil Mohd , Abd Majid Masmaria , Yasmin Abd Rahman Farah 
Published: July 2024

This paper aims to study the Model Reference Adaptive Controller using MIT-Rule and Lyapunov applied in a pilot-scale steam distillation process. The control objective of MRAC is to regulate steam temperature in the distillation column for essential oil extraction system. A first-order auto-regressive exogenous (ARX) function is derived to represent steam temperature model for numerical experimentation and extended to real-time implementation. During the experiments, the MRAC MIT-Rule and Lyapunovâ€™s are tested with and without integral component in the controller structure. It shows that eliminating the integral give stable response and low steady-state error compared to MRAC with the integral. The MRACâ€“MIT controller has fast response and low SSE and RMSE compared to the MRACâ€“Lyapunov in both simulation and real-time experimentation.Â Â
Research Framework for Safety Culture in Malaysian Education Sector: Moderating Effect of Safety Knowledge
Authors: Kamilah Makhtar Nor , Parasuraman Balakrishnan , Nazri Zakaria Mohd , Rasdan Ismail Ahmad , Husna Che Hassan Nurul 
Published: July 2024

The main purpose of the conceptual paper is to discuss development of a proposed conceptual framework in exploring the relationship between psychological, behaviour and situational dimension towards safety culture in Malaysian education sector focusly in Vocational College (VC). Previous literature showed fewer frameworks that have been established in occupational sector. A quantitative method was adopted, in which sample for the study was limited to vocational instructors that only teach enginering technology courses. The paper discusses possible relationship between all three dimensions with safety culture and offers a conceptual framework based on Cooperâ€™s Reciprocal Safety Cuture Model. Additional research is needed to empirically validate the proposed conceptual framework in the other organisation under education sector in Malaysia such as primary and secondary school, boarding school and also Matriculation College. This paper could assist top management and teachers in school to have deeper understanding of the importance of creating a positive safety culture at the workplace. The proposed conceptual framework could be used as a leading indicator for future research in this area especially in education sector.Â Â Â
Comparison Performance of Robustness Test using Intelligent Fuzzy based Controller for Simulation Study
Authors: Mohd Yusoff Zakiah , Dalila Khirul Ashar Nur , Muhammad Zuraida , Fadzilah Razali Noor , Azeehan Azli Shakira , Faiz Zainal Abidin Amar , Kamaruddin Hasan Khairul 
Published: July 2024

This paper presents a comparison simulation performance of robustness test using intelligent fuzzy based controller in extraction process of essential oil. In this study, the control variable is the steam temperature since it gives large effect to quality of essential oil.Â Ideally, the aims of control system applications and design the controllers is to ensure the close loop system satisfies performance criteria such as the system must be stable, minimize the effects of disturbances, good set-point tracking which is rapid and smooth response to set point changes.Â Thus, the robustness test is applied in this study to provide the controller that can produce a smooth control response and also robust to any changes of the operation conditions during running process. The standard performance criteria used to represent dynamic performance are percentage overshoot, rise time, settling time, root mean square error (RMSE) and time on recovering load disturbance. The STFPID controller that was used in controlling steam temperature for extraction process shows the excellent performances based on the result. However, both controllers pass the robustness test with small %OS, RMSE, settling time and rise time.Â Â
A novel LSB steganographic method using partition and matching algorithms
Authors: Singh Sukhjit , V.K Jain Dr. , Amanpreet Singh Dr. 
Published: July 2024

There is always a trade-off between embedding efficiency and hiding capacity of secret information. This paper presents a new ste-ganographic technique that improves the embedding efficiency and hiding capacity. For hiding information we extract LSB bits from 24-bit bmp color image. The LSB bits are joined to form an array of bits. An array is divided into N partitions depending upon the size of secret information to hide. The secret information is also divided into N partitions. Each data part finds the best possible matching location within each LSB array partition. The maximum bit matching depends upon the size of data partition, size of LSB array partition and the number of partitions used. The novelty of the proposed method is that the embedding capacity can be increased to desired level with lesser effect on embedding efficiency while maintaining security of embedded data. The paper presents efficient algorithms for bit manipulation that decreases the distortion and increases the embedding efficiency. The proposed technique shows an improvement over the existing LSB embedding methods.Â Â
A survey on outlier detection methods in data mining
Authors: Thomas Roy , E. Judith J. 
Published: July 2024

Outliers are data objects whose characteristics differ from the mainstream characteristics of the data objects in a data set. Outlier detection plays a vital role in statistics as well as in data mining. Outlier detection effects to find out hidden and important information from large data sets. It has been a research field with diverse application areas for the past few decades. Outlier detection has been a topic of research in many fields like detecting malicious activity in cyber security, finding fake transactions in banking, detecting abnormality in medical data, identifying defects in industrial products etc. and various methods have been developed for detecting outliers. Most of the methods are developed specifically for certain applications while others are generic methods. Outlier detection methods are grouped into supervised, unsupervised and semi-supervised methods depending on the availability of class labels. Outlier detection methods can also be classified into statistical, proximity-based, clustering-based and classification-based depending on the type of data. We, in this paper, present the relative advantages and limitations of various methods used for detecting outliers.Â Â
Optimization and prediction of laser micro-grooving by artificial neural network
Authors: . Sivarao , Z. Khalim A. , Yusoff Yusliza , Pujari S , Sivakumar D. , A. Amran M. 
Published: July 2024

Lasers are widely used in machining industry as a cutting tool ultra-flexible, produce high quality end product, quick set up, non-mechanical contact between the workpiece and the tool, and small size of the heat affected zone are some of the good features of laser cutting. However, laser cutting of sheet metal has limitation in machining of circular geometries by turning operation. There-fore, a novel approach has been devised to investigate in transforming a 2D flatbed CO2 laser cutting machine into 3D laser lathing capability as an alternative solution. In this paper, artificial neural networks (ANN) were employed to build a predictive model for depth quality of micro-grooving commercially pure (CP) titanium grade 2 by using a flatbed (CO2) laser cutting. The predicting model includes five input variables of the power, the gas pressure, the cutting speed, the focal distance and the depth of cut. It is found that from the ANN model developed, near optimum groove depth values are generated where the average prediction error is 6.48%.Â Â