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International Journal of Advances in Applied Sciences
Published by Institute of Advanced Engineering and Science
ISSN : 22528814     EISSN : 27222594     DOI : http://doi.org/10.11591/ijaas
Core Subject : Science, Education, Social,
Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics
International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and others interested in state-of-the art research activities in applied science areas, which cover topics including: chemistry, physics, materials, nanoscience and nanotechnology, mathematics, statistics, geology and earth sciences.
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Articles 20 Documents
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Search results for , issue "Vol 13, No 1: March 2024" : 20 Documents clear
Detecting facial image forgeries with transfer learning techniques Nishigandha N. Zanje; Anupkumar M Bongale; Deepak Dharrao
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp93-105

Abstract

Digital images have become ubiquitous in our daily lives, appearing on our smartphone screens and online websites. They are widely used in numerous industries, including media, forensic and criminal investigations, medicine, and more. The ease of access to consumer photo editing tools has made it simple to manipulate images. However, such altered images pose a serious risk in fields where image authenticity is crucial, making it challenging to confirm the reliability of digital images. Digital image fraud involves altering an image's meaning without leaving any obvious signs. In this study, we present three convolutional neural network-based transfer learning techniques “CNN” classification of facial image forgeries, using VGG-19, InceptionV3, and DenseNet201. Among these methods, DenseNet201 achieved the highest accuracy of 99%, followed by InceptionV3 at 94% and VGG-19 at 84%.
Quantized consensus of finite-level multi-agent networked systems Olubusola Olufunke Nuga; Kamoli Akinwale Amusa; Ayorinde Joseph Olanipekun; Simeon Matthew
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp148-159

Abstract

In this paper, analysis of a quantized consensus finite-level multi-agent networked system is considered. Logarithmic quantizer is utilized for the transmission of the state of the networked agents. Two protocols employed in the investigation are, the consensus protocol which is determined from the outputs and states of a set of encoder-decoder pair, and the convergence rate protocol that is precisely characterized using a dynamic scaling factor. The asymptotic consensus can be reached through information exchange among neighbour agents. Validity of the protocols for the connected network system is established through careful selection of parameters of the quantizer. A four-agent networked system is used to illustrate the implementation of the protocols. Obtained result showed that information exchange in an undirected networked system is achievable through a communication channel equipped with encoder and decoder pairs. More so, the desired asymptotic convergence is achievable through careful choice of the parameters of the quantizer.
Utilization of the heat from combustion of water for the heating process in water desalination Adi Permadi; Arief Syamsuddin; Trianik Widyaningrum; Ibdal Satar; Totok Eka Suharto; Joko Pitoyo
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp134-140

Abstract

The volume of municipal waste has become a national problem so far, so a solution is needed to reduce the waste problem. One solution to reduce the volume of municipal waste is to burn waste. However, the combustion needs to be designed to take advantage of the heat generated by combustion. In this study, the process of burning waste with various types of waste materials was carried out. The heat of burning waste is used to evaporate 1 liter of seawater and the seawater vapor is cooled to produce distilled water. The volume of distilled water and the precipitated salt were weighed. The results of the research from the variation of 6 types of waste materials obtained that the type of clothing waste material gave the fastest time, which was 43.75 minutes, the amount of distilled water was 931 ml, and salt deposited as much as 30 grams. The test results on distilled water showed that almost all parameters met the requirements of drinking water and obtained a salt content of 84%. Further processing by adjusting the hardness is needed to process distilled water into clean water and the addition of iodine can be considered to produce iodized salt.
Green conversion of red snapper fish scale-derived carbon dots and its absorption properties for solar thermal desalination Dolfie Paulus Pandara; Gerald Hendrik Tamuntuan; Maria Daurina Bobanto; Ferdy Ferdy
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp84-92

Abstract

Fisheries wastes have been used as precursors for the synthesis of carbon dots (CDs). These wastes are often converted using hydrothermal methods which require high temperature and pressure, leading to high production costs, especially for large-scale production. This study aims to innovate a low-cost synthesis method with the potential for large-scale production. Green conversion of CDs from red snapper fish scale waste was carried out using a combination of immersion method and ultrasonic wave treatment. The results showed that the products had an absorption peak at a wavelength of 404 nm and an energy bandgap of 2.7 eV. Excitation at 404 nm was associated with non-bonding n orbital to antibonding orbital ????* electronic transitions due to the presence of free electron pairs and related with carbon-nitrogen (C-N) bonds. The 2.7 eV energy bandgap was associated with the state of amine groups containing free electron pairs located on the surface of CDs as well as blue light emission at a wavelength of 460 nm when CDs were illuminated with ultraviolet light. Red snapper fish scale-derived CDs showed fluorescence characteristics and the presence of nitrogen elements, making them potential photothermal materials for solar-powered seawater desalination processes.
A novel fuzzy-logic controller-MDsUPQC topology for power quality improvement in multi-feeder distribution system Sriramulu Naik Mudhavath; Lingineni Shanmukha Rao; Pidatala Prabhakara Sharma; Sangu Bala Pushpa Latha
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp33-45

Abstract

In the current situation, the significant usage of massive non-linear functioned power electronic loads has been increased in domestic and industrial applications. The main problem of power-quality (PQ) deterioration in both voltage quality and current quality from nominal values and also damaging the single/multi feeder distribution systems. The major contribution is to alleviate the PQ issues by employing novel multi-devices unified power-quality conditioner (MDsUPQC) topology in a multi-feeder distribution system. This MDsUPQC comprises multiple voltage source inverter (VSI) devices connected with a common direct current-link (DC-link) capacitor which is controlled by a proportional-integral (PI) controller. However, this controller has some technical issues that are not suited for the regulation of common DC voltage at the desired level because of improper selection of gain values. The contribution of this work is proposing an intelligent fuzzy-logic (FL) DC-link controller-driven MDsUPQC device which evidences the intelligent knowledge base for better regulation of PQ issues. The technique and performance of the suggested strategy for PQ improvement, load sharing between feeders, and simulation results are presented with comparative analysis utilizing the MATLAB/Simulink software tool.
Proposed algorithm base optimization scheme for intrusion detection using feature selection Imane Laassar; Moulay Youssef Hadi
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp24-32

Abstract

The number of devices linked to the internet is rapidly increasing as the internet has become ingrained in every aspect of modern life. However, certain issues are getting worse, and their resolutions are not well-defined. One of the main issues is convergence and speed for communication between different internet of things (IoT) devices and their security. For that purpose, in this paper, an improved artificial bee colony (ABC) algorithm with binary search equations along with neural networks is proposed, known as the artificial bee colony algorithm with binary search equations (BABCN) algorithm for intrusion detection in terms of convergence and speed for communication. The depth-first search framework and binary search equations on which the artificial bee colony algorithm with binary search equations algorithm is built improve the algorithm’s capacity for exploitation and speed up convergence. The initial weight and threshold value of the ABC neural networks are optimized using an algorithm to prevent them from entering a local optimum during the training procedure and accelerating training. The NSL-KDD dataset was used, and based on the results; the proposed algorithm improves classification and has high intrusion detection ability in the network. The proposed has undergone tests to be evaluated, and the results show that it performs better in detection accuracy, time, and false positive rate.
One-step phase transferring method on preparing CuInS2/ZnS QDs dispersion via ultrasonic treatment for bioimaging Adi Permadi; Lukhi Mulia Shitophyta; Ibdal Satar
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp73-83

Abstract

Sonochemistry has many applications in biomedical engineering owing to its ability to break chemical bonds. It can also be used to facilitate the preparation of aqueous quantum dots (QDs) dispersions during microemulsion formati on. Cavitation, bubble growth and collapse during sonication facilitate the formation of microemulsions between a solvent and water. Sonication was employed in this study to prepare aqueous copper indium sulfide colloidal zinc sulfide (CuInS2/ZnS) QD dispersions using different solvent systems. The resultant QDs were characterized by UV-vis absorption, photoluminescence, and dynamic light scattering. Hexane was determined to be the best solvent for the preparation of QD dispersions with the resultant QDs (30 nm in diameter) retaining their chemical integrity and >30% of their quantum yield. CuInS2/ZnS QD dispersions in water can be directly prepared without any non-polar solvent and it has shown high quantum yield. Further, it was also shown that less-toxic, which is efficient in labeling tumor cells derived from human liver cancer (HepG2). It’s evident that, sonication was found to be an efficient alternative approach for preparing aqueous QD dispersions without the need for surface modification, or the use of non-polar solvents during microemulsion formation.
Improving the BERT model for long text sequences in question answering domain Vijayan Ramaraj; Mareeswari Venkatachala Appa Swamy; Ephzibah Evan Prince; Chandhan Kumar
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp106-115

Abstract

The text-based question-answering (QA) system aims to answer natural language questions by querying the external knowledge base. It can be applied to real-world systems like medical documents, research papers, and crime-related documents. Using this system, users don't have to go through the documents manually the system will understand the knowledge base and find the answer based on the text and question given to the system. Earlier state-of-the-art natural language processing (NLP) was recurrent neural network (RNN) and long short-term memory (LSTM). As a result, these models are hard to parallelize and poor at retaining contextual relationships across long text inputs. Today, bidirectional encoder representations from transformers (BERT) are the contemporary algorithm for NLP. BERT is not capable of handling long text sequences; it can handle 512 tokens at a time which makes it difficult for long context. Smooth inverse frequency (SIF) and the BERT model will be incorporated together to solve this challenge. BERT trained on the Stanford question answering dataset (SQuAD) and SIF model demonstrates robustness and effectiveness on long text sequences from different domains. Experimental results suggest that the proposed approach is a promising solution for QA on long text sequences.
Complexes and bioenergy of invertebrates in oil-polluted gray-brown soils of Absheron Pirverdi Samadov Ahmed
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp141-147

Abstract

Oil pollution negatively impacts not only the physicochemical and morpho-genetic parameters of soils but also the vital activity of soil biota-microorganisms and invertebrates. Studies have established that in the uncontaminated gray-brown soil of the Binagadi and Karadag massifs, the bulk of the invertebrate complex is gastropoda, insecta, tenebrionidae, and carabidae. In lightly oil-polluted biotopes, insecta, gastropoda, lithobiidae, tenebrionidae, carabidae, buprestidae, and woodlice of the genus hemilepstus occupy the leading place. The total number and biomass of invertebrates in uncontaminated biotopes of gray-brown soils of the Binagadi and Karadag massifs is 19.2 ind/m2, respectively; 26 gr/m2 and 20 ind/m2; 3.64 gr/m2. In slightly oil-contaminated biotopes, these indicators vary between 25.6 ind/m2, respectively; 3.5 gr/m2 and 12.8 ind/m2; 0.84 gr/m2. The energy accumulated in the mesofauna biomass in the slightly oil-polluted biotopes of the Karadag and Binagadi massif varies between 0.3268 gr/m2-1418.94 cal/m2 and 1.0468 gr/m2-5072.20 cal/m2, respectively. Thus, the reliability of the biogeocenoses is determined by the level and effective activity of soil organisms.
A novel solar PV integrated fuzzy-logic controlled UAPQC device for power quality enhancement Lingineni Shanmukha Rao; Pidatala Prabhakara Sharma; Maddiguntla Bhavani Shankar; Sakila Venkata Sakethnath; Govindu Bharat Kumar
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp13-23

Abstract

A novel solar photovoltaics (PV) connected unified active power quality conditioner (UAPQC) device is extensively adopted for enhancing the voltage and current quality of the distribution system. In a three-phase distribution system, the proposed UAPQC mitigates both load-side and source-side allied power quality (PQ) issues. Furthermore, as part of the distributed generation (DG) system, active electricity from solar PV is injected into the grid or source when solar PV is available. In this regard, the proposed UAPQC has been operated by using a workable control method, in both PQ improvement mode and DG incorporation mode. The direct current-link (DC-link) control of the shunt voltage source inverter (VSI) utilizes the proportional-integral controller, which is not suited for the regulation of DC-link voltage at the desired level because of improper selection of gain values. In this work, an intelligent fuzzy-logic DC-link control of UAPQC evidences the intelligent knowledge base for better regulation of power-quality issues. The suggested fuzzy-logic controlled UAPQC device's performance for both PQ improvement and integration of DG is validated using the MATLAB/Simulink computing tool, and simulation findings are given with an appealing comparison analysis.

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