Journal of Artificial Intelligence in Electrical Engineering
Volume:13 Issue: 52, Winter 2025

Community detection is one of the important challenges in social network analysis. This problem involves identifying the internal structures of the network and grouping nodes into communities with common characteristics. One of the effective approaches for community detection is to identify important nodes in the network and consider them as the initial cores of communities. In this study, first, a new local centrality criterion is introduced to determine the importance of nodes. Based on this criterion, important nodes are identified and considered as the cores of initial communities. Also, in this paper, a new algorithm called CDHC is presented for community detection. The new centrality criterion is used to identify exhausted initial communities. Modularity and NMI indices are used to evaluate the proposed algorithm. The results of the proposed algorithm on real and artificial networks show that the proposed algorithm is efficient compared to other algorithms.

In this paper, the energy procurement of large industrial consumers with the minimum cost of alternative energy sources including the micro-turbines, bilateral contracts, power market and renewable energy sources, namely wind turbines and photovoltaic systems, is investigated. Also, the battery storage is used to increase energy efficiency. Additionally, the effects of real-time pricing demand response program (RTP-DRP) and the time-of-use demand response program (TOU-DRP) on the load curve of the large industrial consumer have been studied, which leads to the smoothing of the load curve and, as a result, reduces the cost of energy procurement of the consumer. To model the uncertainties of electricity price, consumer's load, wind speed, irradiation of sun, temperature, scenario-based probabilistic programming is proposed. The proposed scheme is modeled as mixed-integer linear programming and the global optimal is extracted using GAMS software. Comparison of the results shows that the cost of purchasing industrial consumer's energy is reduced by 12.33% and 6.23% due to the use of RTP-DRP and TOU-DRP, respectively; and also indicates the efficiency of the proposed RTP-DRP in comparison to the traditional TOU-DRP.

As an exciting new topic in information technology, the Internet of Mobile Things (IoMT) enables any application to allow objects to move freely in designated locations. Also, network lifetime is a major challenge in IoMT, which attempts to increase the lifetime of IoMT. In this regard, mobility is used as an efficient method to reduce the number of transitions between objects. Mobility in IoT leads to increased network lifetime and reduced energy consumption. Although the mobility of sensors and actuators plays a vital role in IoMT, there is no comprehensive and systematic study to analyze its important methods. Therefore, this paper aims to systematically investigate and examine the impact of mobility in the Internet of Things and the specific characteristics of the link layer in the mobile Internet of Things.

In this paper, the efficiency loss in GaN-based light emitting diodes (LEDs) has been studied. In a LED, as the junction temperature increases, the wavelength of the emission peak shifts. GaN-based LEDs exhibit piezoelectric (PZ) behavior. In InGaN blue/green LEDs, with increasing applied current, a shift to the blue region is observed due to the Quantum Confined Stark Effect (QCSE) caused by PZ fields. At low current density, the efficiency of InGaN/GaN multiple quantum well (MQW) LEDs has the highest value and decreases rapidly with increasing current.
Keywords: light emitting diode, efficiency loss, piezoelectric, blue shift

Differential equations play a key role in the environmental sciences and provide mathematical tools for understanding environmental processes and predicting changes.   The purpose of the research is to provide mathematical modeling methods to solve environmental problems and to use standard mathematical techniques and methods to solve the model by obtaining the desired results, and the analysis is done based on mathematical laws and ecological system.   In this research, the application of differential equations for environmental modeling, especially in pollutant dispersion, ecosystem dynamics, and climate change prediction, is discussed. In this research, mathematical foundations, modeling method through differential equation is examined and its role in explaining the complexity of the environmental system is revealed.   This paper also points to the potential for future development of differential equations in interdisciplinary topics and more advanced computing, which provides a research context and improvement path for the field of environmental sciences.

Diseases affecting the Gastro Intestinal tract are recognized as the second leading cause of mortality on a global scale. The diagnosis of these diseases has consistently been a challenge, due to the unique physiological characteristics of digestive system. Studies support the positive impact of early diagnosis on the treatment and recovery of patients with these diseases. Many significant progresses have been made in the field of diagnosis and treatment of Gastro Intestinal diseases; among them video capsule endoscopy is one of these new emerging technologies. This method entails the patient swallowing a vitamin-sized capsule, containing imaging equipment. The capsule traverses the digestive tract, capturing images that are subsequently transmitted to a recording station. A specialist subsequently examines the transmitted images and renders a diagnosis. The paramount consideration in this technique is the methodology employed for capsule activation. In this context, two principal activation modes have been introduced: passive and active modes. Passive capsules rely on the natural wave-like contractions of the digestive system, known as peristalsis, for propulsion. In contrast, active capsules possess internal mechanisms for independent movement. This review article presents the active video capsules, which are equipped with some kind of activation modules. Furthermore, this paper examines specific clinical and technical tests employed to assess capsule performance. The primary objective of this study is to examine the effectiveness of different capsule video activation modes. Additionally, the study aims to evaluate the device's potential utility in diagnosing gastrointestinal disorders. The most significant result is the absence of clinical trials. It would appear that the principal emphasis of these experiments lies in the examination of the technical specifications of video capsules.