ARCENG (INTERNATIONAL JOURNAL OF ARCHITECTURE AND ENGINEERING) ISSN: 2822-6895

Imitating Nature to Create Smart Technologies: Biomimicry and Artificial Intelligence for Sustainable Innovation

2025-04-13T16:28:10+03:00

The integration of biomimicry and artificial intelligence (AI) offers significant potential for sustainable innovation. Biomimicry addresses sustainability challenges by emulating natural systems, while AI enhances these efforts through data analysis and optimization. This research explores how combining biomimicry, and AI can drive sustainable solutions in energy, architecture, and materials science, uncovering strategies for impactful, nature-inspired advancements.

This study employs a qualitative approach to investigate the integration of biomimicry and AI for sustainable innovation. It begins with a literature review on biomimicry, AI in sustainability, and relevant case studies, followed by an analysis of examples from industries such as energy, architecture, and materials science based on academic papers, reports, and expert interviews. The thematic analysis identifies patterns in the synergy between biomimicry and AI, focusing on how AI enhances biomimicry through data modeling and optimization. This methodology provides insights into their potential for driving sustainable innovation and guides future research in the field. The research underscores the synergy between biomimicry and artificial intelligence for sustainable innovation. Biomimicry tackles environmental challenges by emulating nature’s solutions, while AI refines these designs with data-driven insights. Case studies in energy, architecture, and materials science demonstrate AI-driven biomimetic solutions, such as optimizing renewable systems, improving energy-efficient designs, and creating self-healing materials.

The study also identifies challenges, including modeling natural systems, ensuring data quality, and scalability. Despite these challenges, the findings highlight the significant potential of combining biomimicry and AI, with interdisciplinary collaboration being key to unlocking this potential. In conclusion, integrating biomimicry and artificial intelligence (AI) presents a promising path toward sustainable innovation. Biomimicry addresses environmental challenges, such as resource efficiency, while AI enhances these solutions through data-driven optimization. Case studies in energy, architecture, and materials science emphasize the potential for resource-efficient solutions. Challenges remain, including modeling natural systems, ensuring data quality, and scaling designs. Successful implementation requires collaboration across disciplines. Future research should focus on refining system models, advancing AI algorithms, and improving data quality. Interdisciplinary cooperation will be crucial for bridging biomimicry and technology, unlocking sustainable solutions.

Mathematical Approaches on Fourier-Based Applications in Artifical Intelligence

2025-05-13T16:43:49+03:00

Fourier analysis enables us to convert the domain of functions into frequency domain. Thus, it is helpful tool to figure out and interpret the big data. Furthermore, Fourier based applications in artifical intelligence are very significant in terms of analyzing the data and developing effective models. In this research, we focus on the connection between Fourier analysis and artifical intelligence and this paper includes the mathematical background of Fourier analysis and their application to artifical intelligence such as neural operators, spectral learning. This study links usual harmonic analysis with data-driven intelligence.

Mathematical Optimization Models Used in Artifical Intelligence Algorithms

2025-05-20T15:35:58+03:00

In this article, mathematical optimization techniques, which are one of the basic building blocks of artificial intelligence systems, are examined in detail. The place of optimization in artificial intelligence, basic concepts, classical and modern algorithms, application areas and current developments are evaluated. In addition, the role of optimization in the learning processes of artificial intelligence models and the comparison of different optimization methods are discussed. Finally, suggestions and research perspectives for the future of optimization in the field of artificial intelligence are presented.

Synthesis, Characterization, and Performance of Sb2(S, Se)3 Based Composites

2025-06-02T15:35:02+03:00

Thermal evaporation method was used to create the Sb₂(S,Se)₃ compounds. This finding emphasizes Sb₂(S,Se)₃'s promise as a new photovoltaic material. It has achieved good power conversion rates of 6.5% to 8%. Further efficiency improvement seems to be required for upcoming real-world applications. Sb₂Se₃-GaSe eutectic composites are synthesized by the vertical Bridgman method. XRD analysis and structural study of Sb₂Se₃-GaSe eutectics show that Sb₂Se₃inclusions are uniformly distributed in the GaSe matrice. Three eutectic points were studied in the Sb₂Se₃-GaSe system. It was determined that the composition of the three eutectics formed in the Sb₂Se₃-GaSe systems is 80 wt %; 55wt % and 40wt % Sb₂Se₃, melt points were 776K, 725K and 698K respectively.

Keywords: XRD, SEM and EDX analysis, eutectic system, raman spectra, photovoltaic material, solar cell

Temperature Dependence of the Threshold Current of GaAs Lasers

2025-06-02T16:17:09+03:00

At small values of the direct current, spontaneous emission is observed in p-n junctions in all directions. The intensity of light and the width of the spectral curve of the emission depend on the value of the current. As the current increases, the amplification factor of the emission increases. When the current increases to a certain value, the laser effect occurs, that is, the emission becomes coherent. This minimum value of the current corresponding to the onset of coherent generation at the junction is called the threshold current. The article shows that the threshold current density in alloy-doped lasers is approximately three times smaller than the threshold current density of lasers obtained by diffusion at room temperature.

Application of Physics Laboratories in the Electronic Learning Environment

2025-06-02T16:24:20+03:00

Electronic learning technologies have begun to play an important role in the education system in modern times. This article extensively analyzes the essence, forms of application, advantages and problems of electronic learning. Also, the application and development prospects of electronic education in Azerbaijan are assessed. As a result of the study, it was found that electronic learning systems, in addition to creating flexibility, accessibility and personalized learning opportunities in education, need continuous improvement from a technical and methodological point of view. Digital transformation in the modern education system is developing rapidly, and this process also affects online models of physics laboratories. In traditional physics laboratories, students work with real devices, but this method is both financially expensive and, in some cases, inaccessible to all students due to limited physical resources. Electronic learning and online laboratories have emerged as an effective alternative to solve this problem.

Cyber Threats Versus Data Security: The Efficacy of Intrusion, Detection and Prevention Systems

2025-06-02T17:10:44+03:00

Data security has become a paramount concern while the protection of sensitive information is indispensable. Cyberspace ( I.e, an interconnectivity between work environment, internet and the intranet) has become malicious site as data are susceptible to intrusion due to the enomerous increase in malicious activities (Paul, 2020). Intrusion, detection and Prevention systems (IDPS) is a software application or device primarily designed to identify potential incidents, reports malicious activities, and enacts preventive measures using diverse response. These technologies are growingly used to support the security of sensitive identities against threats or attacks. This paper is a mixed review on the impact of IDPS technologies on data security. The paper discusses some common causes of Cybersecurity breaches, major forms of cyber threats and IDPS data security methodologies. In order to collect relevant data for the paper work, constructive questions were formed and administered to respondents using online Google form. The responses gathered were subjected to reliability analysis. The paper concludes that the use of multiple types of IDPS technologies can help to achieve a more accurate and reliable detection and prevention against cyber threats.

Effective Technologies for the Production of Biogas Using Local Raw Materials

2025-06-02T17:13:18+03:00

In this article, special attention was paid to biogas, studied alternative sources of power, which are solar energy, wind energy, nuclear energy, biogas. Also the classification of biogas plants is developed, the features of their functioning are revealed, the map of processes of biogas plant on the basis of system and process approach is developed. Questions on complex problems of processing of waste of livestock farms are considered. The technical characteristics of the biogas plant are presented and the operating parameters are determined.

Fire Safety in Electric Vehicles with Lithium-ion Batteries

2025-06-02T19:39:03+03:00

This article addresses the issue of fire safety in lithium-ion batteries used in electric vehicles. The environmental benefits of electric vehicles and their potential to reduce dependence on fossil fuels have led to their increasing adoption. However, features of lithium-ion batteries such as thermal runaway, internal short circuits, and high energy density create a fire risk and make it difficult to control these fires. The toxic gases released during electric vehicle fires pose significant dangers to response teams and the environment. Therefore, developing fire safety protocols and intervention methods is of critical importance. The article examines the growth of the electric vehicle market in Turkey, as well as the current practices and international standards related to the safety of the batteries used in these vehicles. Additionally, it offers recommendations for precautions and intervention methods against lithium-ion battery fires. The importance of effective cooperation and awareness-raising efforts among battery manufacturers, vehicle manufacturers, governments, and regulatory bodies is emphasized to prevent electric vehicle fires and mitigate their impacts

Rapid Access to People Trapped in Collapsed Buildings After an Earthquake

2025-06-11T11:43:37+03:00

According to the earthquake zone map, it is known that 92% of our country is located within earthquake-prone areas and that 95% of our population lives under the threat of earthquakes. Earthquakes can cause various harmful effects on both living and non-living entities. These statistics indicate a significant risk for people living in our country. After an earthquake, survivors are often found in natural voids within damaged or collapsed buildings. The chances of survival for disaster victims decrease rapidly over time. In urban search and rescue operations, the first 72 hours—also known as the “golden hours”—are the most critical.

As a team, our experience during the February 6th earthquake showed us how crucial it is to reach people trapped under debris as quickly as possible. This painful experience made us realize the absence of a system that could save lives in emergencies. After an earthquake, it is vital for search and rescue teams to access information such as the trapped individuals' phone numbers, emergency contacts, chronic illnesses, necessary medications, the floor and apartment they live in, and the building layout as soon as possible. The earlier the rescue efforts begin from the first minute, the more lives can be saved from under the rubble.

In this project, we have designed an artificial intelligence-based system that allows immediate access to people and their information in the building/house during an earthquake with the press of a single button.

At the end of the post-earthquake search phase, rescue operations begin. The sooner the search process is completed, the faster the rescue operations can start. To facilitate this, we used the MPU6050 accelerometer in our system. This sensor detects earthquakes and, through software we developed, transmits the data via a portable modem to a locally and nationally developed panel that we coded ourselves.

The data includes the floor and side of the building where the person is located, their phone numbers, health status, medications they use regularly, and emergency contact numbers. Authorized personnel who log into the panel can download this information, along with the pre-uploaded building layout and location details, with a single click. This data is then directed to the search and rescue team, allowing them to start the rescue process more quickly.

Evaluation and Beneficiation Opportunities of Pyrophyllite Ore (Pütürge-Malatya)

2025-06-14T10:30:10+03:00

Pyrophyllite, a hydrated aluminum silicate mineral (Al₂Si₄O₁₀(OH)₂) is industrially valuable due to its high refractoriness, chemical inertness, and low thermal expansion. It finds widespread use in various industries such as white cement, ceramics, refractories, plastics, paints, rubber, and cosmetics. Particularly in the ceramics industry, it is favored as a substitute for clay and feldspar due to its minimal volumetric changes during firing and high-temperature resistance. The commercial viability of pyrophyllite ore is largely contingent upon its purity, mineralogical composition, and particle size. Raw pyrophyllite ores frequently occur in association with other minerals, including quartz, mica, chlorite, and feldspar. These impurities invariably diminish the industrial utility of pyrophyllite, thereby underscoring the critical importance of beneficiation processes. The escalating demand for pyrophyllite in industrial applications necessitates the development of effective and economic beneficiation techniques to yield high-purity products with desired characteristics. Among these techniques, attrition scrubbing combined with classification, leveraging pyrophyllite's low hardness and brittleness, and flotation, exploiting its natural hydrophobic properties, have emerged as prominent methods. In this study, a pyrophyllite ore characterized by a relatively low alumina content (20.64% Al₂O₃) and high silica content (73.41% SiO₂), obtained from the Pütürge (Malatya) pyrophyllite deposit, was subjected to beneficiation through attrition scrubbing+sieving and flotation. The beneficiation result from attrition scrubbing+sieving yielded a product with 29.33% Al₂O₃ and 61.85% SiO₂ at a particle size of -75 µm. Also, flotation beneficiation resulted in a pyrophyllite concentrate containing 27.01% Al₂O₃ and 65.56% SiO₂ with a particle size of -150 µm.

Applicability of Drilling and Blasting Method in Building Demolition; integration of Mining Engineering Techniques into the Construction Sector

2025-06-14T10:28:48+03:00

Buildings may need to be demolished due to reasons such as completing their economic lifespan, natural disasters, or urban renewal projects. Ensuring that demolition is carried out safely and in an environmentally responsible manner is crucial for both public health and sustainable development. This study focuses on the controlled demolition using explosives, a technique commonly employed in demolishing large and complex structures. The method involves strategically placing explosives on the structural elements of the building to induce a controlled collapse. Proper selection of explosives, borehole design, charge amount, and detonation sequence are essential parameters for the success of this method. The study also examines potential environmental impacts during demolition, including projectile debris, air blast (noise), ground vibration, and dust emissions. The devastating earthquakes centered in Kahramanmaraş on February 6, 2023, have emphasized the need for safe demolition methods, particularly for heavily damaged structures. In this context, the study outlines the planning and execution steps of explosive demolition and discusses critical safety and environmental considerations.

Hawk Eye

2025-06-23T22:18:42+03:00

When a person's visual impairment cannot be corrected through glasses, contact lenses, surgery, or medication, and when their level of vision is extremely low or entirely absent, this condition is referred to as low vision or blindness. Visually impaired individuals are not to be pitied or seen as helpless. For centuries, people with visual impairments have been marginalized, socially isolated, and deprived of both material and emotional support, often ignored and overlooked by society. They have long been seen as a "bleeding wound" of the community.

However, through financial and social support programs, our government has taken educational and rehabilitative measures to support visually impaired individuals. As a result, visual impairment is no longer perceived as a chronic social issue.

In our project, a camera placed in a box mounted on the front of a bicycle captures real-time video. Using custom-developed code, objects in the image are detected, and their distances are measured. According to the distance, audio feedback is provided through a speaker—enabled by artificial intelligence—which announces how far the object is.

Technological solutions developed for visually impaired individuals range from simple audio feedback systems to advanced object recognition and environmental sensing technologies. These innovations help individuals gain more awareness of their surroundings, carry out daily tasks more independently, and increase their ability to interact socially. For example, AI-supported applications can identify objects around the user and provide verbal feedback through voice commands, helping them better understand their environment and improve their daily life experiences.