<abstract xmlns="http://www.w3.org/1999/xhtml">

This paper focuses on modelling of the flexible loads of a residential area, based on a classification of eligible appliances. Thus, in order to use the photovoltaic energy with a higher efficiency, the methods of traditional load management are involved in residential sector in order to ensure an optimal balance between demanded load and photovoltaic generated power. The concept of Home Energy Management System is an action taken by the consumer and it is part of the concept for Demand Load Management. The most important thing in implementation of this algorithm is to perform a classification of the electrical appliances. Using the Matlab simulation, in this paper has been generated a consumption load profile based on a list of appliances specific to residential area. Based on generated load profile, in the paper has been extracted in several graphs, the power of the equipment that supports and does not support changes in the operating program. Previously, a classification of these appliances has been conducted, the most important aspect taken into account in their classification being the minimum impact on the user’s comfort.
</abstract>

An Overview of the Home Energy Management System

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The power delivered by a photovoltaic cell generator depends on the operating point at which this works. In order to maximize the energy supplied by the PV system, the generator should be adapted to the load so that the operating point will always correspond to the maximum power point. Usually, when a PV module is connected directly to a load, its operating point is rarely at the maximum power point. The operating principle of the maximum power point tracking is to place a converter between the load and the PV array, to adjust the output voltage and the current of the PV array so that the maximum available power is extracted. In most cases the optimal algorithm is chosen according to several criteria, such as: implementation complexity (autonomy of the systems, connected to the network), the type and number of sensors needed, the ability of the algorithm to detect local maximum points, cost, response time, type of implementation (analog, digital, mixed).
</abstract>

Photovoltaic Systems Maximum Power Point Tracking Algorithms

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This paper describes the basics of quantum computing and then focuses on the implementation of the Bernstein-Vazirani algorithm, which can be seen as an extension of the Deutsch-Josza problem (that solves the question on whether a function is balanced or not). The idea behind the B-V algorithm is that someone can find a secret number (sequence of bits) using only one measurement, unlike the classical counter-part, that requires n measurements, where n is the number of bits of the secret number. The implementation of this algorithm, using the Python programming language, along with the Qiskit framework (an open-source library for quantum operations from IBM), illustrates how to create and simulate a circuit for such an algorithm. The circuit is dynamically generated for the required number (which in practice is received from a different source) and is used to measure the probability of each qubit. The algorithm can also be extended for different types of data and can be used for signal or image processing, as well as applications in cryptography.
</abstract>

Implementation of the Bernstein-Vazirani Quantum Algorithm Using the Qiskit Framework

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The paper presents a new eye image segmentation method used to extract the pupil contour based on the modified U-Net CNN architecture. The analysis was performed using two databases which contain IR images with a spatial resolution of 640x480 pixels. The first database was acquired in our laboratory and contains 400 eye images and the second database is a selection of 400 images from the publicly available CASIA Iris Lamp database. The results obtained by applying the segmentation based on the CNN architecture were compared to manually-annotated ground truth data. The results obtained are comparable to the state of the art.
The purpose of the paper is to present the implementation of a robust segmentation algorithm based on the U-Net convolutional neural network that can be used in eye tracking applications such as human computer interface, communication devices for people with disabilities, marketing research or clinical studies.
The proposed method improves uppon existing U-Net CNN architectures in terms of efficiency, by reducing the total number of parameters used from 31 millions to 38k. The advantages of using a number of parameters approximatly 815 times lower than the original U-Net CNN architecture are reduced computing resources consumption and a lower inference time.
</abstract>

“Gheorghe Asachi” Technical University of Iași

“Politehnica” University of Bucharest

Eye Image Segmentation Method Based on the Modified U-Net CNN Architecture

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Dielectrophoresis (DEP) is a method of manipulating, including separating, of target object (nano and/or microparticles, living cells) in the presence of a non-uniform electric field. In recent years, the method has found numerous applications in the bio-medical fields, especially in oncology, more precisely in the study of circulating tumor cells (CTCs). CTCs are cells released by a tumor during its early stages of metastasis, when secondary tumors cannot yet be detected by classical imaging methods. Thus, DEP may be a useful adjuvant method in the earlier detection of cancer. In this context, this article offers a new perspective on a topic of great interest nowadays. Presenting in the first two parts in detail the technique of DEP and the most important physical-biological characteristics of the CTCs, the article lists in the final part the most relevant and recent applications of this technique in the field of tumor cells, opening possible future research directions.
</abstract>

University of Medicine and Pharmacy “Grigore T. Popa” Iași

The Role of Dielectrophoresis in the Detection and Separation of Circulating Tumor Cells

<abstract xmlns="http://www.w3.org/1999/xhtml">

This research presents the main steps needed for designing a piece-wise linear trajectory which grants an unmanned aerial vehicle (UAV) to reach a destination pose in a workspace with dynamic obstacles. The first objective is characterized by the examination of kinematics and dynamics of a quadcopter. For this purpose, a nonlinear mathematical model was developed. The validation of the mathematical model was confirmed by MATLAB and real time experiments. The second step aims to properly map the 3D environment. For this objective, an algorithm for a cuboid rectangular decomposition was developed and implemented, by extending a 2D decomposition technique. The evaluation of the proposed path planning algorithm occurred for different scenarios and the validation of the results was established through numerical simulations. In the end, a comparison for two path planning scenarios is shown: for a 3D static environment and for a 3D dynamic environment, where the movement of a dynamic obstacle is known.
</abstract>

“Gheorghe Asachi” Technical University of Iasi

Prerequisites to Design a Collision Free Trajectory in a 3D Dynamic Environment for an UAV

AHEAD OF PRINT

Volume 68 (2022): Issue 4 (December 2022)

Volume 68 (2022): Issue 3 (September 2022)

Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section

Volume 67 (2021): Issue 4 (December 2021)

Volume 67 (2021): Issue 3 (September 2021)

Volume 67 (2021): Issue 2 (June 2021)

Volume 67 (2021): Issue 1 (March 2021)

 The journal Buletinul Institutului Politehnic din Iaşi, Electrotehnicã. Energeticã. Electronicã (Bulletin of thE Polytechnic Institute of Iasi, Electrical Engineering, Power Engineering, Electronics section) is publishing papers that present the research work in the broad area of Electrical Engineering, Power Engineering, Electronics, Automatic Control and Computer Science. The proposed topics of the published papers cover not only classical fields of Electrical and Computer Engineering Science, but also subjects in areas that show a rapid process of maturation. The journal is an effective mean of disseminating the recently obtained results, of promoting interdisciplinary research and also an opportunity for young researchers to present their relevant scientific work.  Authors are invited to submit papers to one of the following subject areas: Electrical Engineering Power Engineering Electronics Automatic Control Computer Science  The journal Buletinul Institutului Politehnic din Iaşi, Electrotehnicã. Energeticã. Electronicã is publishing mainly original research but, good quality focused review articles that scrutinize state of art, that highlight newly emerging trends or propose future directions for developing areas, are also welcomed after consulting the editor.  All articles are subject to a blind review assessing the content, scientific relevance, novelty and originality of research, quality of presentation, text structure and style, referencing, and the overall contribution of the article. Based on the review, the editor reserves the right to reject the paper or request the author to adjust it according to the reviewers suggestions.  The journal Buletinul Institutului Politehnic din Iaşi, Electrotehnicã. Energeticã. Electronicã is jointly coordinated by the Faculty of Electrical Engineering, Faculty of Electronics, Telecommunications and Information Technology and Faculty of Automatic Control and Computer Engineering of “Gheorghe Asachi” Technical University of Iași.  Plagiarism and Archiving Policy  Archiving  Sciendo archives the contents of this journal in System's Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 