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Fusion: Practice and Applications | 2024

A Hybrid Meta-Heuristic Approach for Test Case Prioritization and Optimization

The application of the test case prioritization method is a key part of system testing intended to think it through and sort out the issues early in the development stage. Traditional prioritization techniques frequently fail to take into account the complexities of big-scale test suites, growing systems and time constraints, therefore cannot fully fix this problem. The proposed study here will deal with a meta-heuristic hybrid method that focuses on addressing the challenges of the modern time. The strategy utilizes genetic algorithms alongside a black hole as a means to create a smooth tradeoff between exploring numerous possibilities and exploiting the best one. The proposed hybrid algorithm of genetic black hole (HGBH) uses the capabilities of considering the imperatives such as code coverage, fault finding rate and execution time from search algorithms in our hybrid approach to refine test cases considerations repetitively. The strategy accomplished this by putting experiments on a large-scale project of industrial software developed. The hybrid meta-heuristic technique ends up being better than the routine techniques. It helps in higher code coverage, which, in turn, enables to detect crucial defects at an early stage and also to allocate the testing resources in a better way. In particular, the best APFD value was 0.9321, which was achieved in 6 generations with 4.879 seconds the value to which the computer was run. Besides these, , the approach resulted in the mean value of APFD as 0.9247 and 0.9302  seconds which took from 10.509 seconds to 30.372 seconds. The carried out experiment proves the feasibility of this approach in implementing complex systems and consistently detecting the changes, enabling it to adapt to rapidly changing systems. In the end, this research provides us with a new hybrid meta-heuristic way of test case prioritization and optimization, which, in turn, helps to tackle the obstacles caused by large-scale test cases and constantly changing systems.

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Heba Mohammed Fadhil mail -
Mohammed Issam Younis mail
link https://doi.org/10.54216/FPA.140221

Volume & Issue

Vol. Volume 14 / Iss. Issue 2

Details open_in_new
International Journal of Neutrosophic Science | 2024

New algebraic approach towards interval-valued neutrosophic cubic vague set based on subbisemiring over bisemiring

We introduce the concept of an interval-valued neutrosophic cubic vague subbisemiring (IVNCVSBS), level sets of IVNCVSBS of a bisemiring. IVNCVSBSs are the new extension of neutrosophic subbisemirings and SBS over bisemirings. Let ℵ be a neutrosophic vague subset in $X$, we show that ℶ is a IVNCVSBS of X if and only if all non-empty level set is a SBS of X. Let ℵ be a IVNCVSBS of a bisemiring X and strongest cubic neutrosophic vague relation of X, we prove that ℵ is a IVNCVSBS of X × X. Let ℵ be any IVNCVSBS of X, prove that pseudo cubic neutrosophic vague coset is a IVNCVSBS of X. Let ℵ1, ℵ2,..., ℵn be the family of IVNCVSBS of X1, X2,..., Xn respectively. The homomorphic image of every IVNCVSBS is an IVNCVSBS. The homomorphic pre-image of every IVNCVSBS is an IVNCVSBS. Examples are provided to strengthen our results.

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S. Selvaraj mail -
Gharib Gharib mail -
Abdallah Al-Husban mail -
Maha Al Soudi mail -
K. Lenin Muthu K. mail -
Murugan Palanikumar mail -
K. Sundareswari mail
link https://doi.org/10.54216/IJNS.230421

Volume & Issue

Vol. Volume 23 / Iss. Issue 4

Details open_in_new
International Journal of Neutrosophic Science | 2024

On Some Symbolic 2-Plithogenic and 3-Plithogenic Real Series

The objective of this paper is to study the expansion of symbolic 2-plithogenic and symbolic 3-plithogenic real functions in one variable with real series, where many famous expansions will be presented according to the Taylor series applied for symbolic plithogenic functions defined over symbolic plithogenic rings. Also, we provide many related examples to clarify and to explain the expansion method and properties.

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Oliver Von Shtawzen mail -
Bahadir Tantay mail -
Foziljonov Ibrohimjon mail
link https://doi.org/10.54216/IJNS.230422

Volume & Issue

Vol. Volume 23 / Iss. Issue 4

Details open_in_new
Fusion: Practice and Applications | 2024

Fusion of Topic Modeling and RoBERTa for Detecting Signs of Depression from Social Media

Depression, or Major Depressive Disorder, is a serious and common medical condition that affects people worldwide. It negatively affects the person's feelings, thoughts, and actions. Depression causes a loss of interest in activities he enjoyed in the past.  It can lead to physical and emotional problems that hamper the daily activities at work and home. In recent years, much research has been done to identify Depression through various modalities of image, speech, and text through artificial intelligence. Social media is an important medium where many discussions and mentions happen about Depression. The current study proposes a novel approach to understand how the depressed and non-depressed communicate differently with the help of Topic Modeling with latent-Dirichlet allocation (LDA) and also detect depression with the help of Robustly Optimized BERT Pretraining Approach (RoBERTa). The current study achieved an accuracy of 66.4% for the depression detection model, which outperformed the previous approaches with similar methodology. The current study is helpful for self-diagnosis of signs of Depression at very early stages.

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Madhu Sudhan H. V. mail -
S. Saravana Kumar mail
link https://doi.org/10.54216/FPA.150115

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new
Fusion: Practice and Applications | 2024

An Intelligent Fusion Framework for Risk Assessment of Notarial Activities in the Digital Era: Balancing Speed and Legal Security with ICT

The integration of Information and Communication Technologies (ICT) into notarial activities has revolutionized the way procedures are processed by significantly enhancing speed and legal security, which are key aspects for user satisfaction. This shift responds to the growing demand for fast and secure notarial services, where efficiency and legal protection are priorities. Through the analysis conducted with the neutrosophic RAFSI method, risks derived from digitalization have been identified and classified, proposing effective solutions for their mitigation. Among these, the need to update regulations to adapt them to the digital context and the importance of training notaries in digital competencies and cyber security stand out. These measures are focused not only on streamlining notarial procedures but also on reinforcing trust in notarial services, marking a significant advance toward the modernization of notarial practice in the digital era. In conclusion, the fusion of ICT with notarial activities, supported by risk control and supervision, has effectively balanced service speed with legal security, meeting the current expectations of users.

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Luis F. Piñas Piñas mail -
Luis R. Miranda Chávez mail -
Carlos J. Lizcano Chapeta mail -
Marina Abdurashidova mail
link https://doi.org/10.54216/FPA.150116

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new
International Journal of BIM and Engineering Science | 2024

A New Approach to Enhance Smart City Applications Through Integrating GIS & BIM Technology

The research deals with the study and analysis of smart cities, the requirements for their establishment, and the role of Building Information Modeling (BIM) in building sustainable, energy-efficient smart cities. The primary objective is to put a smart city transformation methodology and apply it on Lattakia city as a case study, using Building Information Modeling (BIM). We proposed new tools in an integrated methodology to transform from ordinary to smart city, and implemented basics of its objects, including GIS/BIM technologies integration, insuring both sustainable and energy saving vision at general planning designs. Implementing the chosen methodology steps at an organized area in Syria – Lattakia City, starting with building an accurate geodatabase, then, obtaining Sun Shadow Frequency analysis, which shows that December contains the highest shade values, with cumulative coverage rate 79.84%, while June instead contain the lowest shade value, reaching only 33.84%. But in general, most of the area has shade coverage that does not exceed 15% most of the day, therefore no need to make an adjustment to the distribution of building blocks. After that, in order to secure the energy needed for the study Area, analyzing the Land Surface Temperature (LST) done using the ArcGIS Pro® software, and locating a renewable energy station site (solar plant). On the other hand, analyzing a residential building energy through annual PV analysis has been done, by using Revit® software through Insight™ extension, with two cases: first one, building without changing building material, while second one done after changing building material to save solar energy inside and rising roof slope up to 10%, and we achieve valuable energy savings by applying this modification to building material. And finally, introducing the infrastructure underground network, that serving transformation to smart city.

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Bushra Kheirbek mail -
Rana Maya mail
link https://doi.org/10.54216/IJBES.080103

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

Details open_in_new
Fusion: Practice and Applications | 2024

Optimizing Loop Tiling in Computing Systems through Ensemble Machine Learning Techniques

This work investigates the use of ensemble machine-learning algorithms to optimize loop-tiling in computing systems, with the goal of improving performance by predicting optimal tile sizes. It compares two approaches: independent training and averaging (soft voting) and an ensemble technique (hard voting) that employs models such as linear regression, ridge regression, and random forests. Experiments on an Intel Core i7-8565U CPU with several benchmark programs revealed that the hard voting Ensemble Approach beat the soft voting technique, providing more dependable and accurate predictions across a range of computing environments. The hard voting technique reduced execution time by around 87.5% for dynamic features and 89.89% for static features, whereas the soft voting approach showed an average drop of 75.45% for dynamic features and 78.13% for static characteristics. This work demonstrates the effectiveness of hard voting ensemble machine learning approaches in improving cache efficiency and total execution time, opening the way for future advances in high-performance computing settings.

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NoorUlhuda S. Ahmed mail -
Esraa H. Alwan mail -
Ahmed B. M. Fanfakh mail
link https://doi.org/10.54216/FPA.150117

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new
Fusion: Practice and Applications | 2024

Using Fusion Data Analysis and Compensatory Fuzzy Logic to Analyze the Socioeconomic Impact of Venezuelan Migration

The surge of Venezuelan migration has left indelible marks on various regions, notably within Babahoyo Canton, presenting both challenges and opportunities for local communities. This study delves into the socio-economic impacts of Venezuelan migration on Babahoyo throughout 2023, employing a sophisticated blend of compensatory fuzzy logic and information fusion techniques. These methodologies offer a nuanced exploration of the migration's effects, capturing the complex interplay between local perceptions, labor market fluctuations, and broader economic dynamics. The findings underscore the critical need for comprehensive integration strategies that not only facilitate the socio-cultural adaptation of migrants but also leverage local public policies to mitigate adverse impacts while maximizing potential benefits. Ultimately, this research aims to illuminate pathways for informed decision-making and policy development, ensuring that responses to Venezuelan migration in Babahoyo are both effective and empathetic, thus fostering a more integrated and resilient community.

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Ignacio Barcos Arias mail -
Danna Villacres Castro mail -
Angelica Neira Toledo mail -
Fayzieva Muyassarzoda mail
link https://doi.org/10.54216/FPA.150118

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new
International Journal of Neutrosophic Science | 2023

A Neutrosophic Analysis of Ecuador's Traffic Injury Legislation

This study offers a comprehensive analysis of the perceptions regarding the gaps in traffic injury laws and the level of judicial security in Ecuador. By employing a neutrosophic approach, which incorporates degrees of truth, indeterminacy, and falsity, the study synthesizes data from legal professionals to assess the need for legislative reform. The use of the Indeterminate Likert Scale and the Triple Refined Indeterminate Neutrosophic Sets (TRINS) enriches the evaluation of nuanced opinions on traffic injuries that result in minimal disability. The resulting insights reveal a significant recognition of the inadequacies within the current legal framework and highlight a societal demand for enhanced legal measures and improved trust in judicial processes. This study underscores the urgency for legal reforms that would bridge the current legislative voids, ensuring justice and protection for traffic injury victims, thereby strengthening the legal system’s accountability and public confidence.

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Acurıo H. Germán Fabrıcıo mail -
Vıctor Lucero Salcedo mail -
Vıllacres D. Oscar Fabıan mail
link https://doi.org/10.54216/IJNS.200116

Volume & Issue

Vol. Volume 20 / Iss. Issue 1

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Fusion: Practice and Applications | 2023

Information Fusion Analysis for Evaluating Educational Equity

The present study aims to analyze the situation of educational inequality in Ecuadorian rural students during the study period, by identifying the barriers and factors that affect their access to equitable and quality education. The results showed a marked digital educational gap between rural and urban students, aggravated by the lack of access to technological resources and connectivity in rural areas. The transition to virtual education during the pandemic exacerbated these inequalities, making it difficult for rural students to learn and limiting their integration into the education system. In conclusion, the need to implement comprehensive public policies to address these inequalities and promote educational equity is highlighted, considering the evaluations and weightings carried out through the MULTIMOORA method. For this, an investment in educational infrastructure, the provision of devices, and teacher training in educational technologies are required to improve access to quality education in rural areas. With this, the path towards a fairer and more inclusive future for all Ecuadorians is sought.

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Byron Javier C. Lema mail -
Iyo Alexis Cruz Piza mail -
María Elena I. Miranda mail -
Bekimbetova Gulnora mail
link https://doi.org/10.54216/FPA.120106

Volume & Issue

Vol. Volume 12 / Iss. Issue 1

Details open_in_new