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International Journal of Advanced Science and Computer Applications
Published by UK Institute
ISSN : 28097599     EISSN : 28097467     DOI : https://doi.org/10.47679/ijasca
Core Subject : Science, Agriculture, Social, Engineering,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
International Journal of Advanced Science and Computer Applications (IJASCA) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented the whole spectrum of Advanced Science and Computer Applications. Submitted papers must be written in English for an initial review stage by editors and further review process by a minimum of two international reviewers. Accepted papers will be freely accessed in this website
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 45 Documents
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IoT-based intelligent system For Alzheimer's Disease Detection & Monitoring Mohamed Riad
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i1.39

Abstract

This research is based on two areas related to Alzheimer's disease, the first is the early detection and diagnosis of Alzheimer's disease using deep learning techniques and its various algorithms, and the second relates to how to monitor and follow up on Alzheimer's disease using the Internet of Things (IOT).  In this paper, a new diagnosis based on deep machine learning and monitoring of diseases similar to Alzheimer's is proposed. Diagnosis of Alzheimer's-like diseases is achieved through deep learning magnetic resonance imaging (MRI) analysis followed by an activity tracking framework to monitor people's activities in daily life using wearable inertial sensors. Activity monitoring provides a framework for assistance in activities of daily living and assessment of patient deterioration based on activity level. The results of Alzheimer's diagnosis show an improvement of up to 86.34% with respect to current known techniques. Furthermore, greater than 95% accuracy was achieved for classifying activities of daily living, which is very encouraging in terms of looking at the activity profile of the subject.
Utilizing a pseudo-random Linear Congruential Generator (LCG) S-Box for encoding color images through genetic crossover ABDELLATIF JARJAR
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i2.41

Abstract

This article introduces a novel algorithm crafted for encrypting color images. The algorithm leverages chaotic principles and harnesses fresh substitution tables derived from independent linear congruence generators. These generators are dynamically sized based on pseudo-random vectors used in this technology. The proposed method initiates with the original image, vectorization, employing selected chaotic maps. The primary goal revolves around implementing a genetic operator tailored for image encryption, who integrates an enhanced Vigenère technique, incorporating novel confusion and diffusion functions derived from the previously established substitution tables. To gauge the effectiveness of this approach, numerous color images of varying dimensions and formats underwent testing using our algorithm. The yielded outcomes are both promising and gratifying, furnishing heightened security against recognized attacks.
big S-Boxes for Deeply Improved Hill Image Coding Abid Abdellah; Hicham Rrghout; Mourad Kattass; Abdellatif Jarjar; Abdellhamid Benazzi
International Journal of Advanced Science and Computer Applications Vol. 3 No. 1 (2024): March 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i1.42

Abstract

This paper introduces a novel approach to encrypt color images, utilizing multiple chaotic maps and working with any size pixel blocks. The encryption procedure commences by converting the original image into a vector, which is then divided into equal dimension subblocks. These blocks undergo a new Vigenère transformation, employing two large dynamic substitution tables interconnected by an enhanced Hill operation using a large invertible matrix generated from a pseudo-random table, controlled by another binary dynamics table. Additionally, the truncated block undergoes the same encryption process using another pseudo-random invertible matrix. To evaluate the effectiveness and resilience of our algorithm, we conducted numerous simulations on randomly selected images of varying sizes and formats from diverse databases.
The MapReduce based approach to improve the all-pair shortest path computation Lau Nguyen Dinh
International Journal of Advanced Science and Computer Applications Vol. 3 No. 1 (2024): March 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i1.44

Abstract

When building sequential algorithms for problems on the graphic network, the algorithms themselves are not only very complex but the complexity of the algorithms also is very big. Thus, sequential algorithms must be parralled to share work and reduce computation time. For above reasons, it is crucial to build parallelization of algorithms in extended graph to find the shortest path. Therefore, a study of algorithm finding the shortest path from a source node to all nodes in the MapReduce architectures is essential to deal with many real problems with huge input data in our daily life. MapReduce architectures processes on (Key, Value) pairs are independent between processes, so multiple processes can be assigned to execute simultaneously on the Hodoop system to reduce calculation time
Systematic Review from Different Encryption Techniques Perspectives alsadig abdallah; Amir Talib; Mandour Ibrahim; Elhadi AbdElgader
International Journal of Advanced Science and Computer Applications Vol. 3 No. 1 (2024): March 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i1.46

Abstract

The volume of Big Data produced from various sources is always growing. Such vast amounts of data cannot be stored using conventional techniques. As a result, the majority of businesses have switched to using cloud storage as a substitute for storing Big Data. Cloud storage has made great progress, but there are still several problems, such security worries. This article examines Big Data, its difficulties, and many security concerns from the perspectives of various encryption approaches. Additionally, it presents various views to address these issues and suggests a new classification of Big Data security difficulties
Characteristic behavior of soil using bacterial biogrouting with LISA FEA V.8. Aco Wahyudi Efendi
International Journal of Advanced Science and Computer Applications Vol. 3 No. 1 (2024): March 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i1.47

Abstract

The increasingly widespread use of micro-bacteria in research to improve soil characteris-tics in the world of construction and also provide a significant increase in soil carrying ca-pacity so that this kind of research makes a very good contribution where the material and mixing object are natural materials, namely in the form of bacteria. This study used the finite element method with the help of LISA V.8 FEA (Li-cense), a finite element method software package, to obtain the stress arising from existing soil ma-terial with soil material that has been mixed with mycobac-teria or the biogrouting method. According from the results of the analysis using numerical analysis using the finite el-ement method LISA V.8 FEA program, it can be seen that there is a reduc-tion in the oc-currence of settlement after adding the two bacteria which have been aged for 30 days with a reduction in soil settlement of 2.9-2.27 mm de-spite an increase in stress. ranging from 58.3 to 69.4 kN/m2.
Client-server Architecture, a Review Geofrey Nyabuto
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i1.48

Abstract

Client-server architecture is a software model through which resources and requests are serviced over a network. The client requests a resource over a network, and the server receives the request, processes it, and responds appropriately. With this model, multiple users can simultaneously access and use resources. This paper provides an overview of the architecture, outlining its characteristics, advantages, disadvantages, different implementations of the architecture as well as the current and future of this architecture.
A Comparative Study of Embedded Learning Models IoT-Based For Real time Mask Detection Mohamed Amine Meddaoui; Mohammed Erritali; françoise Sailhan
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i2.49

Abstract

Following the outbreak of the coronavirus, many preventive measures are implemented to slow down the transmission of the virus. Amongst others, face mask detection is a key innovative technology that allows the identification of the number of individuals wearing face masks. In this regard, this paper provides a comparative study of several machine learning and deep learning algorithms (e.g., SVM, RNN, Mask-RCNN, LSTM, CNN, Auto-Encoder, GAN, U-Net GAN) that support mask detection
Analysis Of Factors Influencing Satisfaction With Using The Mobile Lapor Application In Indonesia Theresa Karyn Wijaya; Nilo Legowo
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i2.51

Abstract

Through this fairly rapid digital growth, the Indonesian government sees opportunities in providing digital-based services through mobile-based applications and websites called LAPOR (People's Online Aspiration and Complaints Service) as a means for the Indonesian people to provide complaints, aspirations or requests for information to agencies. governance is aimed at only 1 platform that integrates with each other. However, unfortunately the mobile application service LAPOR (People's Online Aspiration and Complaints Service) is still unable to satisfy the needs and desires of users in using all the services provided. This is proven by the assessment and comments column of the REPORT mobile application on Playstore and AppStore. Therefore, this research was carried out to determine the factors that influence user satisfaction in using the LAPOR mobile application which was assessed or processed into 5 research variables including Ease of Use, Security Privacy, Attitude Toward Using, System Quality and User Satisfaction
BUSINESS DEVELOPMENT IN THE DIGITAL AGE Helisia Marganaha
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i2.55

Abstract

In today's digital era, old systems and processes must be rethought, and new technologies must be implemented to keep businesses competitive and growing. High global competition provides its own demands for business people to continue to improve product innovation by utilising existing technology to face this global challenge. Data collection techniques on business development in the digital era are conducted through online data analysis, literature studies obtained from Google Scholar, online surveys and social media monitoring to collect information on digital businesses. The use of technologies such as big data and sentiment analysis can also help in understanding the changes that occur in the digital business ecosystem. Technology and the internet have opened up new opportunities for businesses to reach a wider market, improve operational efficiency, and accelerate business growth. High global competition puts its own demands on businesses to continuously improve product innovation by utilising existing technology to face these global challenges. Businesses that succeed in the digital era are those that can adapt quickly and remain responsive to changes in the market and technology. Businesses need to adapt to technological developments and utilise them to improve business quality and expand market reach.

Page 3 of 5 | Total Record : 45

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