Arhivă — Seria C

1

DESIGN AND APPLICATION OF HUMAN-COMPUTER COLLABORATIVE TEACHING INTERACTIVE SYSTEM DRIVEN BY ARTIFICIAL INTELLIGENCE

Zhijuan WANG

It is challenging for teachers to quickly and accurately assess each student's learning status due to the ongoing growth in classroom size and the complexity of the curriculum in contemporary educational settings. This limits classroom interaction and the efficacy of individualized instruction. This study uses a Transf…

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2

INTEGRATING BOUNDARY AWARENESS AND DYNAMIC LOSS FOR ENHANCING SEMI-SUPERVISED NER IN POWER COMMUNICATION FAULT TEXTS

Jieke LU, Ying LING, Xin LI, Shaofeng MING

As an important data source for troubleshooting, power communication fault text holds significant value in fault diagnosis. However, the effectiveness of generic named entity recognition (NER) techniques is limited due to the irregular nature of domain-specific text, often characterized by small dataset size and nested…

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3

STRATEGIES FOR DEVELOPING THE ICT ECOSYSTEM IN THE REPUBLIC OF MOLDOVA

Lilia SAVA, Valentina TIRSU, Dinu TURCANU, Elena PETREANU

In the abstract, the authors examine how the Republic of Moldova can strengthen its ICT ecosystem by leveraging AI, IoT, and 5G to modernize digital infrastructure and accelerate innovation. Using a mixed approach that combines policy review, analysis of official connectivity and sector indicators, and benchmarking aga…

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4

RESEARCH ON VIRUS PROPAGATION MODELS IN CLOUD NETWORKS

Yanjing LI

Traditional virus propagation models exhibit notable limitations when describing viral spread in cloud networks, particularly in their passive treatment of external factors, ignorance of network dynamics, and oversimplified immunization strategies. To address these gaps, this paper proposes an improved Healthy- Suscept…

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5

APPLICATION OF ANT COLONY OPTIMIZATION ALGORITHM BASED ON CLOUD MODEL IN ROUTING PROBLEMS

Xu LI, Zhengyan LIU

A cloud model-based ant colony optimization algorithm was proposed in this research to address the problem of difficult balance between exploring the search domain and developing known solutions in ant colony optimization algorithm. Deep analysis of the characteristics of cloud models could provide reasonable settings …

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6

SECONDARY FREQUENCY REGULATION CHARACTERISTIC MODELING OF THERMAL POWER UNITS BASED ON BOUNDED-GAIN-FORGETTING

METHOD, Xiufeng XING, Fengsheng JIA, Xinglei YAN, Jian LV, Honghai LI

The existing mechanism models for thermal power units face challenges in accurately reflecting unit response characteristics under different working conditions. To address this, this paper proposes a novel modeling method for the secondary frequency regulation characteristics of thermal power units. The frequency regul…

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7

DISTRACTED DRIVING BEHAVIOR DETECTION BASED ON CCLA-YOLOv8

Weihua LIU, Lele LV, Wei SHENG

With the acceleration of urbanization and the continuous growth of vehicle ownership, traffic safety issues caused by distracted driving behaviors have become increasingly prominent. To address this problem, this paper focuses on the research and design of a driver behavior detection system based on the YOLOv8 algorith…

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8

EXPLAINABLE ARTIFICIAL INTELLIGENCE MODELLING OF A COMBINED CYCLE POWER PLANT USING KOLMOGOROV-ARNOLD NETWORKS

Paul-Vasile VEZETEU, Dumitru-Iulian NĂSTAC

Artificial Intelligence Explicability (XAI) is an essential research field which aims at developing methods and models which can explain the decision process of machine learning (ML). Interpretable ML is a subfield concerned with developing algorithms which are intrinsically explainable. The current paper developed a s…

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9

SECURITY-AWARE UNIVERSITY RESOURCE ALLOCATION: ECC-BASED VERIFICATION FOR DYNAMIC COORDINATION

Xiaomin ZHAO

The allocation of educational resources in higher education institutions faces challenges related to execution efficiency, coordination stability, and data security under dynamic demands and multi-stakeholder participation. This study proposes a security-aware dynamic allocation framework for university educational res…

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10

RESEARCH ON COOPERATIVE PASSIVE LOCALIZATION FOR UAV FORMATIONS BASED ON GRAPH MODEL AND DISTRIBUTED A* SEARCH

Liqiong PAN, Jiajia QIAN, Haixu ZHANG

Bearing-only passive positioning is the key to achieving autonomous collaboration of UAV swarms in GPS-denied environments. This paper proposes a two-layer algorithm framework that integrates graph models and distributed search to solve this problem. In the first stage, a fast topological matching algorithm is applied,…

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11

MEDICAL IMAGE SEGMENTATION BASED ON SPATIAL INFORMATION ENTROPY GEODESIC ACTIVE CONTOUR

MODEL, Xiang MA, Zhimin WANG, Haibo ZHANG, Ronghao ZHANG

This paper presents a novel Geodesic Active Contour (GAC) model based on spatial information entropy for the medical images including bias fields and weak edges. The driving term of this model includes two parts: This spatial information entropy based on image can well describe the gray information in the images and ov…

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12

WHALE OPTIMIZATION ALGORITHM BASED ON TENT AND SINE OPTIMIZATION

Jing CHEN

To address the limitations of the whale optimization algorithm (WOA), including its tendency to fall into local optima and weak local search capability, an improved version—termed TSVWOA—is proposed in this paper. Specifically, the tent map is adopted for population initialization to enhance population diversity; a sin…

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13

ON-AXIS TREATMENT METHOD OF THE BOR-FDTD ALGORITHM AND ITS APPLICATIONS

Miaomiao LI, Jie JI, Shanshan SHEN

Originating from the standard Finite-Difference Time-Domain (FDTD) method, the Body of Revolution FDTD (BOR-FDTD) algorithm stands out as a high- efficiency computational paradigm, dedicated to simulating the propagation behaviors of electromagnetic waves in structures with pure symmetry, e.g., fiber optic cables and a…

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14

DESIGN OF AN INTEGRATED INTERACTIVE EXPERIMENTAL SYSTEM FOR TEACHING DEEP LEARNING-ORIENTED OBJECT DETECTION

Lili ZHANG, Wenshuo HAN, Yao HUANG, Hongxin TAN, Wei WEI, Jing, LI, Pei YU, Lingyu ZHANG

Artificial intelligence has become an important part of university education worldwide. Deep learning courses are offered in many universities as core courses in the field of artificial intelligence. To enable students to comprehensively understand and master the knowledge system and content of deep learning, this pape…

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15

RESEARCH ON 5G BASE STATION ENERGY EFFICIENCY BASELINE CONSTRUCTION TECHNIQUE BASED ON PRINCIPAL COMPONENT ANALYSIS AND ARTIFICIAL NEURAL NETWORKS IN THE PERSPECTIVE OF HIGH- DIMENSIONAL DATA ANALYSIS

Yao RAO, Yuan CHENG, Xinlei BAI, Sheng DING, Shen XIAO, Ziyi, LIU

Aiming at the high-dimensional characteristics of the data presented in the process of energy efficiency assessment of 5G base stations, this paper proposes a novel baseline construction method for energy efficiency of 5G base stations by organically combining the principal component analysis (PCA) with the self-encode…

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16

DAD-YOLO: EFFICIENT FIGHTING IMAGE RECOGNITION

MODEL

Zheng LI1,2, Dong WANG1,2,*, Dengcong MU1,2,* In today's society, fight detection technology is vital for preventing violence. To address issues like low accuracy, slow speed, and high complexity in existing video fight detection algorithms, we propose DAD-YOLO, an efficient model. Experiments show it outperforms tradi…

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17

INTELLIGENT QUESTION-ANSWERING SYSTEM FOR GRID SCHEDULING USING KNOWLEDGE GRAPH AND LARGE LANGUAGE MODEL

Wei LI, Bo ZHOU, Siqi SHEN, Zhangguo CHEN

With the increasing complexity of power system operations, scheduling tasks require more advanced knowledge acquisition and question-answering systems. Existing power grid scheduling question-answering systems have issues such as complex operations and incomplete management frameworks. To address these problems, this s…

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18

RESEARCH AND DESIGN OF MULTI-MODAL FUSION + ATTENTION-TCN EMOTION RECOGNITION ALGORITHM BASED ON RASPBERRY PI

Li WANG, Xin WANG, Yandong LIU, Chao CHEN, Lei TANG

To address the limitations of traditional emotion recognition algorithms— reliance on single-modal expressions, weak temporal modeling, susceptibility to spoofing, and poor adaptability on embedded devices like Raspberry Pi—this study optimizes emotion recognition technology for Raspberry Pi. First, mainstream deep lea…

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19

MACHINE LEARNING (ML) BASED MITIGATION OF HARMONICS AND POWER FACTOR IMPROVEMENT

Kishore Kumar Pedapenki, Suresh Kumar Annam, G. Pandu Ranga Reddy

Power Electronics is a branch of Electrical Engineering which has enor- mous applications in changing the one type of supply into another and also obtain- ing the different levels of voltages and current based on the requirement. Such an important branch also creates some problems if the same is used for said benefits.…

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20

OPTIMIZING EFFICIENCY IN MULTI-STAGE RESONANT WPT BY CO-DESIGNING COIL INNER RADIUS AND TURN

COUNT, Gang LIANG, Xin WANG, Chunlong LI, Yongbo YAO, Qing LI

For medium- and long-range contactless power delivery, multi-stage resonant magnetic wireless power transmission (WPT) is a compelling option; however, transmission efficiency remains the central hurdle to practical deployment. This paper aims to improve the efficiency of multi-stage magnetic resonant coupled WPT syste…

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21

ENHANCED ADAPTIVE LOW-RANK ADAPTATION WITH RANK ADJUSTMENT AND MODULAR FUSION FOR EFFICIENT FINE-TUNING

Xiangjiang LI, Tiejun PAN, Diqun YAN, Zheqi ZHANG, Enhui HU, Junyi CHAI, Samuel Ken-En GAN, Yuan XU, Hongbo LI

Low-rank adaptation (LaRA) is an efficient approach for fine-tuning pre- trained models, leveraging low-rank matrix decomposition; prior research on LoRA has investigated a range of model optimization techniques, where low-rank matrix adaptation is employed to effectively optimize pre-trained generative models—this in …

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22

CASE STUDY FOR HYDROGEN PRODUCTION USING A MODULATED CURRENT SOURCE

Viorel Constantin PETRE, Octavian Mihai GHITA, Cerasela DINU

Hydrogen is a promising alternative fuel that can offer a range of benefits over traditional fossil fuel. The common element, water, is seen as the best renewable and non-polluting fuel on the planet. The article proposes and presents an analysis of water electrolysis using a PWM modulated current source in order to pr…

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23

AN INDUSTRIAL AUTOMATION ARCHITECTURE FOR A DEBURRING CELL WITH ROTARY INDEXING TABLE

Florian-Daniel DOGARU, Violeta-Georgiana DOGARU, Valentin, NĂVRĂPESCU, Alexie GHERGHE

This paper presents the design and implementation of an industrial automated equipment used for deburring parts produced for the automotive industry. The system contains a rotary table with several machining stations in a PLC-controlled environment. The proposal consists of electrical design and the development of a lo…

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24

CURRENT STATE OF ANTSIRANANA'S ELECTRICITY NETWORK AND PROPOSED SOLUTIONS

M.M. Inès MANAMIHANTA , Dominique G.M.B. RAKOTO , Liva F., RAFANOTSIMIVA, Nirinarison Jean RAZAFINJAKA, Virgil DUMBRAVĂ

This article describes the current state of the Antsiranana power grid, incorporating a photovoltaic power plant. Unlike in industrialized countries, where grids are interconnected and can be considered to have infinite capacity, those in developing countries are often standalone and have limited capacity. Based on var…

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25

DESIGN AND DEVELOPMENT OF A COMPACT INTELLIGENT CABLE PULLING SYSTEM FOR POWER

CABLES, Yan FENG, Yufang LIN, Zongsheng XU, Sikai XIONG, Xinyu PEI, Xiongfeng HUANG

With the continuous expansion of urban power networks and increasing complexity of underground pipeline systems, traditional cable traction methods are limited in construction safety, l intelligence, and operational efficiency. To address these challenges, a compact intelligent traction system is designed for power cab…

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26

FAULT DIAGNOSIS AND DECISION SUPPORT SYSTEM FOR POWER GRIDS BASED ON DATA AND KNOWLEDGE

Xiaogang WU, Qingbiao LIN, Shengmin QIU, Yan GUO, Xingwang CHEN, Zhizhong LI

The decision-making process for power grid faults involves multiple dimensions of information. Effectively integrating this information and achieving intelligent optimization are essential for improving power grid security. Traditional fault diagnosis relies on a single data source and often lacks accuracy in complex f…

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27

MULTITEMPORAL DATA FUSION AND REASONING IN POWER GRID FAULT DECISION SUPPORT

Yipu ZHANG, Qingbiao LIN, Shengmin QIU, Kun ZHANG, Xiaogang, WU, Xin GAO

As the scale of power grids continues to expand, the volume of grid-related information increases significantly. Diagnosing the operational state of power systems by integrating real-time data streams with historical fault data has become a key focus in the field of electric power. However, existing fault diagnosis met…

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28

CONFIDENCE ANALYSIS AND DEEP LEARNING-BASED APPROACH FOR TWO-STAGE CALIBRATION OF ERROR- DOMINANT PARAMETERS IN POWER SYSTEM SIMULATION

Shengliang CAI, Guobin FU, Mingzhi CHEN, Guoqiang LU, Haibin SUN, Xuebin WANG, Rui SONG, Yanzhe CHENG

Accurate identification and calibration of error-dominant parameters (EDPs) are critical for reliable power-system simulations. This paper presents a deep- learning-based framework for unified EDP identification and calibration. A large synthetic dataset is constructed by perturbing model parameters and recording the c…

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29

ASSESSMENT OF THE POWER QUALITY IN THE CIRCUIT OF A STORAGE SYSTEM. EXPERIMENTAL STUDY

George Alexandru FLOREA, Ciprian PREDA, Octavian ANDRIȚOIU

The study includes an experimental analysis of the power quality in an industrial installation in which a solar source supplies the user and determines, during hours of excess energy, the charging of a battery and during peak hours it contributes to reducing the energy taken from the public electrical grid. The analysi…

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30

INTELLIGENT GENERATION AND VERIFICATION OF START-UP SCHEMES BASED ON POWER GRID

TOPOLOGY, Yaopu ZHENG, Xiongfeng LIN, Shifeng PENG, Guangyu DENG, Jianguo, YE, Zhou HUANG

With the continuous expansion of the power grid scale, the traditional power grid startup schemes are facing challenges in terms of efficiency and accuracy. This paper proposes an intelligent startup scheme generation and verification technology based on power grid topology. By constructing a future-state power grid to…

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