Mircea cel Bătrân Naval Academy

Controlling flying pests represents a major challenge for agriculture, horticulture, and public health in Romania and Europe, particularly in the context of reducing the use of chemical insecticides. This study analyzes the role of visual orientation mechanisms in flying insects - phototaxis, chromotaxis, and dorsal light response (DLR) - as a biological basis for the development of alternative non-chemical control methods. The paper integrates data from the literature on the main nocturnal and diurnal flying pests relevant to agroecosystems in Romania and Europe, classifying them according to their period of activity, flight behavior, host plants, and visual preferences. In addition, an experimental field study was conducted in southeastern Romania using multispectral light sources (UV, blue, green, and yellow) projected onto reflective white surfaces to assess insect attraction behavior under real conditions. The results confirm the predominant attraction of nocturnal insects to ultraviolet and blue radiation, associated with phototaxis and dorsal light response, as well as the role of chromotaxis toward yellow and green in diurnal insects. The study highlights the potential of chromatic light traps as effective and sustainable tools for integrated pest management and for reducing dependence on chemical insecticides.

This paper presents the design, mathematical formulation, and real-time implementation of a linear Active Disturbance Rejection Controller (ADRC) for speed regulation of a Permanent Magnet Synchronous Motor (PMSM). The proposed ADRC employs a Linear Extended State Observer (LESO) to estimate and actively compensate for total disturbances, including parameter uncertainties, unmodelled dynamics, and external load torque variations, without requiring an accurate plant model. The controller is designed in MATLAB/Simulink and deployed on a Texas Instruments C2000 LaunchPad (TMS320F28379D) using the Embedded Coder support package for real-time execution. A comprehensive mathematical model of the PMSM in the d-q reference frame is presented, followed by the complete ADRC formulation including the LESO design and bandwidth parameterization. The proposed ADRC is experimentally compared against an optimally tuned PID controller under step reference tracking, load disturbance rejection, and speed reversal tests.

Due to the frequent damage encountered in the hull of bulk carriers in operation, it is necessary to analyse the possibilities to increse the performances by structural and dimensional modeling of the central area of the hull of the vessel under the effect of combined general stresses (and specific local stresses. The present paper analyzes the response of the central section of the bulk carrier of 165000 tdw for three representative cases of total stress, re-evaluated by simulation with the help of finite element analysis software. Following the interpretation of the results obtained by the finite element analysis, the authors propose some solutions to increase the structural strength of the central area of the bulk carrier of 165000 tdw. The present study shows that the structure of the cylindrical area of the hull of the analyzed ship, remodeled by finite element, ensures the compromise between the operational requirements and the design requirements imposed by the norms The structural characteristics of the central section of the ship were analyzed, the practical validation being provided by the finding that the bending moments do not exceed the permissible values imposed by the class society. Work was done on three separate cases of ship loading and corrections were made for 12 sections of the hull. The use of high-strength steel has led to a weight reduction of 22%.

This study examines the effectiveness of digital recruitment platforms in addressing labor shortages within Norway’s shipbuilding and ship-repair industry. Through a data analysis of 446 job applications over a 12-month period, this study evaluates key recruitment metrics, including application response times (ARTs), candidate acceptance rates (CARs), and the impact of machine learning on hiring outcomes. The findings reveal that specialized digital platforms can significantly improve recruitment efficiency, with 70% of applications being received within 24 h, highlighting the platforms’s great potential for time-sensitive sectors. Additionally, pre-vetting candidates enhances hiring precision, achieving a CAR of 90% and reducing mismatches. The application of machine learning algorithms provides predictive insights that support real-time adjustments to job postings, optimizing recruitment strategies. This study contributes uniquely to the literature on cross-border digital recruitment, aligning with the European Union goals of sustainable labor mobility and economic resilience.

This research article focuses on the development and testing of a wind power system designed for ships anchored in the outer harbor of Constanta Port. The article extensively analyzes the electricity consumption of various types of vessels during anchorage, taking into account significant variations. Emphasis is placed on the importance of designing the system to cover these variations and provide constant and reliable energy. To validate theoretical models and assess the system's efficiency in real conditions, a prototype was constructed and tested near Constanta Port. Tests included measurements of wind speed, voltage, and generated current. Homer Pro software was used to simulate and optimize the performance of the wind power system. A significant alignment between the results of software simulations and field measurements confirmed the validity of theoretical models. The successful validation of the prototype using data from software simulations confirmed that the proposed wind power system can efficiently supply electric power to ships in the outer harbor of ports.