Applied Science and Innovative Research (ASIR) is an international open-access journal published by Scholink. The journal aims to provide a high-level platform for scholars and researchers all over the world to share latest findings and views in the field of applied science. We would welcome scholars and researchers engaging in the related field to submit your manuscripts which are complete unpublished and original works and not under review in any other journals to Applied Science and Innovative Research. Both of online submission and E-mail submission (asir@scholink.org) are acceptable. -------------------------------------------------------------------------------- The journal covers all areas of applied sciences such as: Applied Behavioral Science Applied Biology Applied Chemistry and Materials Sciences Applied Computer and Information Research Applied Ecology Applied Economics Applied Education Research Applied Engineering Applied Genetics Applied Geography Applied Linguistics Applied Mathematics and Statistics Applied Mechanics Applied Philosophy Applied Physics Applied Physiology Applied Psychology Applied Sociology Artificial Intelligence Open access: Applied Science and Innovative Research is available online to the reader "without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself." Peer review: Applied Science and Innovative Research takes peer review policy. Peer review is the evaluation of work by one or more people of similar competence to the producers of the work (peers).
Authors who publish with this journal must agree to the following terms: Copyrights for articles published in our are retained by the authors. Authors should promise that their works are entirely original, and all the references in their works should be appropriately cited or quoted. The works have not been published previously. The behavior of submitting the same work to other journals is unacceptable. The journal editor has the right to edit the format of works.
Input Impedances of Symmetrical Loop Antennas
The application of integral equations for currents in symmetrical loop antennas of arbitrary length and different form (circular, rectangular and another short-circuited forms) allows us to substantially raise the calculation’s exactness of electrical characteristics for the appointed antennas’ versions and to be convinced that the received result is substantially distinguished from the characteristics of small antennas.
Copyright (c) 2026 Boris Levin http://creativecommons.org/licenses/by/4.0
A Project-Based Teaching Model for the Course Fundamentals and Applications of Artificial Intelligence in Higher Vocational Education under the Perspective of Industry–Education Integration
In the context of new engineering education and industrial digital transformation, the course Fundamentals and Applications of Artificial Intelligence in higher vocational colleges urgently needs to align more closely with industry demands. Guided by the concept of industry–education integration, this paper proposes a project-based teaching model grounded in real enterprise projects, forming a closed-loop system of “school–enterprise collaboration, task-driven learning, and intelligent evaluation.” By embedding project tasks in application scenarios such as intelligent manufacturing, smart transportation, and low-altitude economy, the model cultivates students’ abilities in AI application and problem solving. The research results show that this approach significantly enhances students’ professional adaptability and innovative practice skills, providing an innovative paradigm for the collaborative cultivation of AI talents between higher vocational institutions and industry.
Copyright (c) 2026 Jing Wang http://creativecommons.org/licenses/by/4.0
A Survey of Heterogeneous Data Aggregation, Integration and Sharing in Electric Power
Heterogeneous data fusion technology for electric power big data is a crucial support for the construction and development of smart grids. The rapid development of smart grids has resulted in a significant increase in the amount of data within power systems, which is characterized by being multi-source, heterogeneous, and large-scale. This data includes real-time operational information, equipment status monitoring data, and market transaction records from various devices and systems. It is essential for enhancing grid operational efficiency, ensuring the security and stability of the grid, and optimizing resource allocation. By integrating multi-source heterogeneous data, electric power big data fusion technology enables data integration, sharing, and comprehensive analysis. This provides core technical support for the intelligent management of power systems. Currently, this technology has made significant progress in data cleaning, transformation, and integration. It is widely applied in areas such as grid dispatching, load forecasting, and equipment status monitoring.
Copyright (c) 2026 Xinhong Zhang, Jun Zhao, Yong He, Gui Peng, Yue Xiang http://creativecommons.org/licenses/by/4.0
Application of Data Mining Techniques in Customer Segmentation for Commercial Banks
Commercial banks are able to use Data Mining Technology (DMT) to improve their capability to segment customers or gain more thorough insight into their value. By developing DMT research methodologies that incorporate a variety of techniques including clustering methods, classification algorithms and other techniques to analyze multiple dimensions (e.g., customer transaction history and consumer behavior), conclusions can be drawn from the resultant output. Results of the research show that DMT can uncover previously unrecognized patterns of demand among customers, allowing for the design of individualized products and providing banks with a scientific framework for determining the optimal allocation of marketing resources.
Copyright (c) 2026 Wankun Shang http://creativecommons.org/licenses/by/4.0
3D Model Production Solutions from Satellite Imagery for Different Application Scenarios
3D reconstruction from satellite imagery has become a core application in the field of geospatial information technology today. Its inherent advantage of global coverage makes it indispensable in numerous fields, including but not limited to smart city construction, geographic navigation systems, virtual tourism, disaster response and management, and military and national defense. This paper compares different 3D models converted from satellite imagery, analyzing the characteristics and distinctions of various 3D models. It provides a comprehensive and in-depth analysis of various technical solutions for creating 3D models from satellite imagery. Through different comparisons, it offers a technical selection guide for 3D models in different application scenarios, enabling users to understand form, structure, and environmental changes more intuitively and deeply, and to prioritize between "visual fidelity" and "data availability".
Copyright (c) 2026 Zheng Fang, Wenchao Xin, Yan Gong http://creativecommons.org/licenses/by/4.0
Apple Damage Detection Using Ethylene Gas Sensors
To improve the automation and accuracy of postharvest apple quality grading and damage detection, and to overcome the inherent limitations of conventional manual inspection methods—most notably strong subjectivity, low operational efficiency, and the lack of support for online monitoring—this study develops an intelligent apple damage detection platform based on ethylene gas sensors. On this basis, a damage level identification approach is proposed that exploits the dynamic characteristics of ethylene concentration. Apples of the same harvest season (Red Fuji) were selected as experimental samples and subjected to three treatments: undamaged, mildly damaged, and severely damaged. Ethylene concentration dynamics were continuously monitored over a five-day period under controlled temperature and humidity conditions. The results indicate that both the absolute levels and growth rates of ethylene concentration differ significantly across damage categories. Moreover, the average relative growth rate of ethylene concentration increases monotonically with the severity of damage. Using the ethylene concentration growth rate as a key feature, a support vector machine (SVM) classification model was constructed to identify apple damage levels, and its performance was systematically compared with that of a recognition method based on image shape features. The experimental results demonstrate that, when ethylene growth rate features are employed, the SVM model achieves consistently high classification accuracy across multiple kernel functions. Among these, the radial basis function kernel exhibits the best performance, with an average recognition accuracy exceeding 97%, substantially outperforming approaches that rely solely on image-based features. Overall, the findings provide strong evidence that apple internal damage can be identified with high precision by leveraging the dynamic behavior of ethylene concentration. This study thus offers a feasible and accurate solution for online postharvest apple quality monitoring and grading, and provides a valuable reference for nondestructive internal damage detection in agricultural products.
Copyright (c) 2026 Feng Ji, Min Jing http://creativecommons.org/licenses/by/4.0
Design and fabrication of commercial electromechanical products are usually small in size but contain complicated electronic systems. Typically, these small electronic units are packaged in metal or plastic boxes to protect from physical damage and screen out electromagnetic interference. When repairing or calibrating the selected boxes, they should be opened carefully to prevent circuitry damage, avoid unwanted circuitry operation during repairs, and to protect the safety of technical personnel. We designed circuitry with pressure sensor to address these concerns. In our experiments, mechanical components were equipped with pressure sensors and installed under a few screws which kept constant pressure applied to the sensors. Opening of the box, i.e. removing the screws, reduces the pressure applied to the sensors. That instantly changes the value of resistance Rs of the sensor. Changing Rs, in our safety circuitry disconnects power to the unit waiting to be repaired. To the contrary, in military or classified circuit applications, to prevent copying of the circuitry, changing Rs could cause destruction of the protected unit (Mil’shtein & Brooks, 2025).
Copyright (c) 2026 Samson Mil’shtein, Willam Brooks http://creativecommons.org/licenses/by/4.0
Instant Weather Control for Efficient Sun Tracking
In our recent study [1], we presented the instrument instantly measuring the energy coming from sun with high precision. In the current study we discuss the efficiency of real-time measurements of sun intensity and how they should be organized to optimize solar PV tracking. We reviewed the operation of single-axis tracker systems (SATS) described by different institutions. Solar panels installed on SATS can generate an additional up to 35% energy per day compared to energy collected by fixed tilt systems. Although the movement of SATS does not consume a significant amount of energy per every 15˚ step, throughout the day it would be measurable amount of energy wasted. Sun tracking algorithms are often controlled by weather forecast over a given area. This forecast does not specify weather conditions at the local spot where the solar array is positioned. Most important, it does not produce real-time direct measurements of sun intensity. We developed the algorithm which records the direct energy of sun in the position “A”. When sun moves 15˚ step to position “B” our system measures simultaneously direct sun energy in “A” and “B”. The measurements sun energy is repeated every 10 seconds in both positions. In about 1 minute the measured values are averaged. With steady clouded skies or under conditions with fast moving clouds the measurements could be repeated for another 1 – 2 minutes. If position “B” would demonstrate that more energy (compare to position “A”) could be collected, the system will command sun tracker to “MOVE”. If due to weather conditions the sun’s irradiance in position “B” is not promising, the algorithm will “HOLD” panels in the position “A”. The current study offers instant weather control of sun tracking after a brief review of worldwide status of solar technology and trends of sun tracking.
Copyright (c) 2026 Sam Mil’shtein, Jeffrey Snell http://creativecommons.org/licenses/by/4.0