bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of multifarious design architectures of convolutional encoders on efficiency of O-IDMA at zero dispersion wavelength
Authors: Prakash Ravi , Kumar Maurya Ajay 
Published: July 2024

Optical interleave division multiple access is a protrusive, obvious and flashy technology used in modern era mobile and wireless systems. Inter-leavers play a major role for estimating the performance of OIDMA system. In present article tree and random inter-leavers are incorporated in OIDMA system one by one and their qualitative comparison has been evaluated. Low rate convolutional encoders having various design topologies by varying number of adders and memory elements are used in coding section. Due to multifarious design architecture of encoders hamming distance ( ) alters for each case. Those architectures which has maximum will produces minimum BER (bit error rate). In present paper that optimum architecture which produces minimum BER has been determined for both tree and random Â Â Â inter-leaver cases.Â Â Â
Next generation of e-learning through the effective usage of cloud computing services
Authors: Kurian Ashly , D Peter Augustine Dr. 
Published: July 2024

Cloud Computing is an essential technology intruded in almost all areas where information technology is used. One of the major areas which require Cloud Computing is the Higher Education System where broad and in-depth knowledge and right guidance are highly demanded. Providing such teaching services has also impediments in the traditional education system where cloud computing plays a vital role in a new technology-based educational ecosystem. In this paper, we bring out the advantages of cloud computing to overcome the barriers by providing a new framework of cloud-based e-learning for higher education. Meanwhile, we keep in mind that the use of the system is very much needed for developing countries like India. Using cloud computing in educational institutions can create a common virtual classroom thereby reducing the expenses and the manpower required to install a well-equipped platform. The proposed model facilitates the students and the faculty can access the content 24/7 and also improve the educational performance. This model comes up with cloud system features and with specified cloud services for each purpose. It facilitates the cloud system to perform the services such as PaaS, DBaaS, SaaS, CaaS, and RDaaS for some service components in API. Each of this service has its own functions through the Hy-pervisor.Â Â
Distribution system reliability enhancement by using grid upgrading technology
Authors: Rashid Zaidan Majeed 
Published: July 2024

Losses are essential threat to power system reliability and worthiness; such disturbances are raised form generation plants until destination and end users. Power loss due to load variation is studied in this paper when radial distribution system is considerable; load is arranging among feed-forward nodes and hence losses may be developed due to overload in any particular node. As the radial system is involved, any changing of network topology yields a noticeable improvement on reliability. More topologies are resulted by changing the feeder switching status. IEEE 16 bus-bar radially structured distribution grid is investigated using Matlab software. Results shown that optimum reliability is achieved when node 2, node 4 and node 15 are closed. So far this topology is active, power loss is minimized and voltage profile is improved as compared to seven iterations of different topologies.Â Â
A new speech cryptosystem using DNA encoding, genetic and RSA algorithms
Authors: F.Yousif Sura 
Published: July 2024

A new system for speech signals encryption and decryption based on the combination of three different encryption techniques which are Deoxyribonucleic Acid (DNA) , Genetic and RSA algorithms is presented in this work. Initially, the one dimensional speech signal is divided to three equal blocks. Secondly, DCT is applied to each block to obtain coefficients of speech samples. Thirdly, each block of speech samples coefficients is encrypted using different encryption method, DNA encoding for the first block whereas Genetic algorithm and RSA algorithm are applied to the second and last blocks respectively. Finally, the three encrypted blocks are combined together to produce ciphered speech signal ready for transmission. The presented speech cryptosystem is implemented and its performance is assessed via different speech encryption and decryption quality criterions and for various speech signals. The results of experiments and comparison prove that the presented algorithm achieves good results for both encryption and decryption and it has the ability to withstand various cryptographic attacks effectively. Further, several kinds of analysis have been performed on the proposed scheme like SNR, PSNR, Correlation Coefficient, NPCR and UACI which are reach to -61.4085 dB, 6.0671 dB, 0.00031683, 99.96 % and 37.2940 % respectively. All these tests reveal that the presented cryptosystem is appropriate to be applied in communication systems for secure real time speech encryption and decryption applications.Â Â Â
Techno-economic Analysis on Grid-Connected Photovoltaic System (GCPV) in Mersing, Johor, Malaysia using Homer Simulation
Authors: Sufian bin Ramli Mohd , Sufiah bte Abd Wahid Siti , Amalina binti Zakaria Noor , Najihah binti Abu  Bakar Nur , Kamarudin bin Hasan Khairul , Azeehan binti Azli Shakira 
Published: July 2024

Power generation relies heavily on fossil fuels such as coal, crude oil and natural gas to produce electricity. Fossil fuels are non-renewable which will eventually dwindle becoming too expensive. Therefore world nowadays are going towards sustainable renewable energy that are constantly replenished and will never run out. Malaysia also has introduced Feed-In Tariff (FiT) in order to promote and encourage consumer to shift towards renewable energy. Among all renewable energies available in Malaysia, solar photovoltaic (PV) is seen to be the most promising renewable energy in Malaysia. This paper presents the techno-economic analysis of a grid-connected photovoltaic (GCPV) system installation for a house in Mersing, Johor, Malaysia.Â Techno-economic feasibility study is done using HOMER software. Design specifications of PV panels and inverters which include the size, type, cost and rating are selected based on the load profile and solar radiation data at Mersing. The result from GCPV system designed is the electricity export and import data obtained which then be analyzed to examine the feasibility of the system installed. FiT rates have been taken into account in the analysis. At the end of this paper, suitability of utilizing GCPV system in a house at Mersing, Johor, Malaysia has been discussed whereby the configuration with PV rating of 5kW and 5kW converter gives the optimum result with total NPC and COE of $2587 and $0.030/kWh respectively. In terms of economic analysis, with simulated payback period of 14 years, the total revenue of the optimum configuration exceeds initial capital cost with an amount of $1083 per year. Technically, 56% of electricity is generated from the PV array which equals to 6595kWh/yr. At FiT rate of RM0.7775/kWh, 33% of electricity production is sold to the grid with a total payment of RM238.24â„month.Â Â
Gamification of Educational Technology: a Narrative Review
Authors: Aldiansyah Muhamad , Amril Jaharadak Adam , . . 
Published: July 2024

Student motivation and engagement are major problems in education. Gamification is one way to increase student motivation and engagement by combining game element in the educational environment. There are some empirical researches and review paper that has been conducted to give an evidence of gamification positive effect for educational technology but review papers that discuss practical suggestion have rarely been studied. This review is focused on papers that give an empirical evidence for gamification on learning in the context of narrative analysis to proposed best practices to do this research field. The study of gamification in educational technology is the basis this narrative literature review was made. Terms of search used is gamification, learning, student, engagement, motivation, and education. Gamification on e-learning that has no purpose on student motivation and engagement were excluded from the search terms. Fifteen papers were selected for review as they are relevant to the criteria. This review indicates that the use of game element has a positive influence on educational technology for the student, even there are various combinations for the chosen of learning activity, subject, game elements, method, sample size, and duration.Â Â
Performance Comparison of Zirconia, Bismuth and Silica-doped Erbium Fiber for Optical Amplification
Authors: Mohamad Sufian , Munira Markom Arni , Sidik Norbaiti , Chandra Paul Mukul , Wadi Harun Sulaiman 
Published: July 2024

Zirconia-based Erbium-doped fiber amplifier (Zr-EDFA) is improved material optical fiber with more than 4000 ppm erbium-doped concentration to solve global demand for huge capacity carrying data information, high speed transmission and long haul with specific devices of compactness. Thus, the length of Zr-EDFA is only 50 cm as gain medium. At input pump power -30 dBm, the highest optical gain is 34 dB (1530 nm wavelength) whereas 21 dB (1535 nm wavelength) at -10 dBm. Besides, the flatness gain 21 dB with fluctuation of 1 dB is recorded for Zr-EDFA. For performance comparison, Bismuth-based Erbium-doped fiber amplifier (Bi-EDFA) and Silica-based Erbium-doped fiber amplifier (Si-EDFA) were also investigated.Â Â
The Effect of U-Slot Designs on The Performances of Microstrip Patch Antenna
Authors: Mohd Zain Norlina , Zairil Muhammad Nor Muhammad , Tarmizi Ali Mohd , Nur Darina Ahmad Nur , Mohd Hussain Mashitah , Faiz Zainal Abidin Amar 
Published: July 2024

Slotted techniques are widely used in to enhance the performances of microstrip patch antenna. This includes enhancing their return loss, VSWR, bandwidth, directivity and other more. In this paper, the effect of different U-slot on microstrip patch antenna performances Â focusing on return loss, VSWR, bandwidth, directivity, radiation pattern and gain are highlighted. Cutting a U-shaped slot on the middle of Â patch is used to bandwidth of antenna can be enhanced. The SMA or coaxial probe is used as a feeding to this structure. A parametric study has been carried out to investigate the effect of different SMA position on symmetric U-slot, the arm length of the U-slot, and the distance between feed point and arm U-slot. The optimized antenna shows operating frequency band ranges from 2.1 â€“ 2.8 GHz. The microstrip patch antenna with U-slot was designed and simulated using CST Microwave Environment software. It can be concluded that the U-slotted microstrip patch antenna yields high bandwidth ranges from 2% - 3%.Â Â
BER Performance of Ultra-Wideband Signal in Optical Transmission Line
Authors: Gwo Chin Chung , Chu Liang Lee , Zheng Yang Lim , It Ee Lee 
Published: July 2024

The main interest of ultra-wideband (UWB) system is that it can coexist with the current radio system with minimal or no interference, which indeed benefits the radio service provider to avoid paying expensive spectrum licensing fees. However, UWB system has a limited propagation distance, typically up to 10 meters. Thus, optical UWB technology has been proposed recently to overcome this problem. In this paper, Matlab simulation has been done to study the performance of the UWB signal in the optical transmission line. Bit error rate (BER) performance has been compared using minimum mean square error (MMSE) equalizer with varying tap length. Results indicate that the distance of the UWB signal transmission can be extended using optical fibre as long as the sampling rate does not cause the optical multipath channel to generate too much interference.Â Â
Analysis of Research Methods in Construction Pollution Related Research Approaches
Authors: Afrina Qistina Ahmad Halmi Nur , Ismail Zulhabri , Okoroh Michael 
Published: July 2024

The research method is defined as containing numerous research types, explanatory and evaluative data analysis approaches. This paper, presents a review and the analyses of prior research methods implemented to address issues that revolve around construction pollutions by observing several selected peer-reviewed journal articles. As such, 28 journal articles were selected from peer review journals published since 2000 until 2018. The journal articles were retrieved from online scholarly databases. The viability of study results is closely related to the research methods employed. As a result, the outcomes of this review indicate that qualitative research methods, such as doctrinal method, semi-structured interview, personal interview, focus groups discussion, grounded theory, and case study, are the common approaches employed in research studies. Such research techniques are deemed appropriate and reliable for implementation in future researches. In addition, a majority of researchers appear to apply the qualitative method, in comparison to the quantitative approach.Â Thus, an effective analysis method should be able to identify the pattern of research approaches employed for non-experimental studies to address construction pollution issues. Furthermore, the findings of this study are useful for future researchers who wish to probe into the subject matter of construction pollution issues.Â Â
WMNs enabled WBANs System for Pilgrimsâ€™ Health Monitoring at Overcrowded Environment during Hajj in Saudi Arabia: a Feasibility Study
Authors: Al Masud Shah Murtaza Rashid , Ahmed Ali Ghassan 
Published: July 2024

Due to the hardship of expedition, instability, overcrowded environment and fluctuation of rough weather, continuous walking, hassle and mental stress during the Hajj at Makkah in Saudi Arabia, many pilgrims get injured, sick and tired. Besides, those who are suffering from various chronic diseases may also contract severe heart, chest, abdominal, and kidney diseases along with some infectious diseases like influenza and thus complicate the overall physiological functions of the patients. Other than the problems of physical sickness and diseases due to harsh and overcrowding at ritual sites also causes numerous problems which may end with the physical injury, trauma and even death along with missing or lost pilgrims. Therefore during Hajj, it is a crucial matter and a significant challenge to ensure the best healthcare services and facilities for pilgrimsâ€™ real-time health monitoring. Wireless body area networks (WBANs) is a modern and promising healthcare technology which coverage is limited to 1-2 meters. Hence, to extend the network coverage area for WBANs at Hajj ritual sites we have proposed wireless mesh networks (WMNs) to integrate with WBANs due to its self-expandable, self-configuring and self-healing nature. In this research, an extensive literature review is conducted, and a feasibility study is performed to identify the way to transmit pilgrimsâ€™ health information to the healthcare centres by integrating WBANs with WMNs.Â Â
Face recognition using deep learning methods a review
Authors: I. Hammadi Othman , Dawah Abas Abdulkarim , Hammad Ayed Khaled 
Published: July 2024

Face recognition is one of the most challenging field of image analysis and computer vision due to its wide practical applications in the areas of biometrics, information security, law enforcement and surveillance systems. It has been a topic of active research proposing solutions to several practical problems giving rise to the significant amount of research in recent times aimed at addressing the challenges of face recognition attributed to the following factors such as illumination, emotion, occlusion, facial expressions and poses, which greatly affect the performance in achieving efficient and robust face recognition systems. In this field, many researchers adopted different techniques that solely rely on extracting handcrafted features to achieve better results. Recent development in deep learning and neural networks have made it possible to achieve promising results in numerous fields including pattern recognition and image processing. Deep learning methods boost up the learning process and facilitates the data creation task. Many algorithms have been developed to use deep learning architectures to get maximum result and achieve the state-of-the art accuracy. Some algorithms design their architectures from scratch and others fine-tuned the existing models to get maximum efficiency of generalization power. Algorithm complexity, data augmentation and loss minimization are the main concern of deep learning paradigms. We have reviewed these architectures in relation to algorithm complexity and experimental results on benchmark dataset. In this paper, we presented a literature survey of latest advances in researches on machine learning for face recognition and their experimental results on public databases.Â Â
Pest identification in sugarcane crop using acoustic sensor
Authors: Durgaprasadarao P. , Srinivas M. 
Published: July 2024

In the existing system, the disease in sugarcane crop is found manually. So there are more chances for loses to the farmers. Now a dayâ€™s agriculture growth is reducing because of more pollution and pest in the environment. In India most of the farmers grow sugarcane but are not getting good yields due to bugs and larvae in sugarcane. To avoid this situation, the proposed design has been developed with acoustic sensor and MQ2 sensor. In this proposed design system used aurdino for monitoring the noise and ammonium gas. So finding the problem can be simplified and can be solved easily.Â Â
Heuristics modelling for dynamic corporate performance assessment
Authors: Perumalsamy Radhakrishnan , Natarajan Jeyanthi 
Published: July 2024

A major goal of corporate performance is to maximize the shareholderâ€™s value. Corporate performance is evaluated with the help of EVA (Economic Value Added).EVA concept is employed to ascertain if the organization contributed positively to shareholderâ€™s wealth over a period of time. Efficient corporate performance management needs to capture the dynamic nature of the relevant factors occurring from multiple sources and when more number of Strategic Business Units(SBU) are involved , the complexity of the problem increases in the process. In this paper, an innovative heuristic methodology is proposed to generate necessary analytics to assess emerging corporate performance levels subject to the risk environment the company is operating in and to take appropriate mitigation measures to overcome inferior corporate performance.Â Â
The effect of efficiency measurement to the improvement of maintenance productivity
Authors: Rizlan Wardah , Hadi Purba Humiras , . Hasbullah , . Saryanto , Nasir Mohamad , Aisyah Siti 
Published: July 2024

Industrial revolution from manual process to automation, digital, integrated between system make changing of demand on the performance of machinery or equipment. Efficiency and productivity are no longer calculated based on the output generated by the operators working in a process. Efficiency and productivity are calculated from the output of a machine or process that is integrated automatically. The need for regular maintenance of machinery or equipment is one of the main needs of manufacturing. In addition, the need for maintenance work is also a major concern. Performance of maintenance is not only measured from OEE (Overall Equipment Effectiveness) but also measured by the efficiency of their activity. Identification of Non Added Value (NVA) activity related to maintenance activity should be done to see improvement opportunities. In the end of investigation, we can increase efficiency from 20.4% to 49,5% by reduce NVA activity. From data of efficiency, we can calculate the number of maintenance personnel required, from 6 people to 4 people. This research to avoid shortage or excess man power resulting and impacted to decreased of efficiency and productivity for both the machine and the maintenance itself.Â Â
Wavelet transform based compression of electric signal waveforms for smart grid applications
Authors: Karthika S. , P.Rathika Dr. 
Published: July 2024

With the advent of smart grid concept a massive wide variety of measurement devices and smart monitors are to be deployed in the distribution network to allow broad observability and real time monitoring of the behavior of power system. The volume of data generated by the smart monitors and measurement devices are a tough challenge for storage, computation and transmission through the power Â Â system. As a result, the complexity of the power system increases tremendously. In order to increase the robustness of the power system data compression techniques are evolved, that aims to improve the efficiency of the data transmission and to reduce the storage issues. In the current work, to reduce the issues of data transmission and volume of data in power system, an efficient wavelet transform based data compression is introduced. The compression technique is performed through signal decomposition, thresholding of wavelet transform coefficients and signal reconstruction. The proposed technique is applied for Electric signals with disturbances. Simulation results are compared with the conventional discrete cosine transform. It is observed that the proposed data compression technique yields high compression ratio and also this technique can efficiently reconstruct the original signal.Â
Data integrity proof and secure computation based on elgamal algorithm and iris extraction in cloud storage
Authors: H. Abbdal Refish Salah 
Published: July 2024

Storage servers may not be fully trusted in cloud storage. So, it is of critical importance for users to check whether the data stored are kept intact or not. In this paper, an efficient and secure integrity checking method based on iris feature extraction and Elgamal algorithm is presented. This method gives the cloud users more confidence in detecting any block that has been modified. Additionally, the proposed scheme supports data dynamics by employing Merkle Hash Tree (MHT), which is used to store the location of each data operation. Data dynamics include such data operations as block modification, insertion, and deletion. With the proposed method, provable data possession and remote integrity checking under secure computation are provided. The performance and security analysis show that the scheme is secure and can be practically used for cloud environments.Â Â
Design of low-cost and high-speed portable two-dimensional electrical impedance tomography (EIT)
Authors: Aris Widodo , . Endarko 
Published: July 2024

Electrical Impedance Tomography (EIT) is a non-invasive of biomedical imaging technique that used constant electric current as a signal modality. The main proposed study was to design two-dimensional EIT system that could support high speed for detection of anomalies inside the practical phantom and has a low cost in fabrication. High-speed portable two-dimensional EIT has been successfully designed and fabricated to generate a reconstructed image from data acquisition in the practical phantom with 16 electrodes. The manufactured EIT equipped with a 7-inch screen as monitoring display, Raspberry Pi 3 Model B and Arduino Uno as controlling and processing units. The system was also used Gauss-newton method for image reconstruction that using Phyton programming which embedded into Raspberry Pi 3 Model B. The results showed that the portable EIT system produced a high-speed data acquisition and image reconstruction with a process is less than 7 seconds. The manufactured EIT revealed that the system had a potential application for medical imaging.Â Â Â