TY - JOUR AU - Kálovics, Máté AU - Szolgay, Péter AU - Iván, Kristóf AU - Szabó, Zsolt TI - Microwave Resonance Based Lab-on-a-Chip Local Pressure Sensing JF - IEEE SENSORS JOURNAL J2 - IEEE SENS J VL - XX. PY - 2024 SP - 1 EP - 1 PG - 1 SN - 1530-437X DO - 10.1109/JSEN.2024.3368366 UR - https://m2.mtmt.hu/api/publication/34764449 ID - 34764449 LA - English DB - MTMT ER - TY - JOUR AU - Fejér, Attila AU - Nagy, Zoltán AU - Benois-Pineau, Jenny AU - Szolgay, Péter AU - de Rugy, Aymar AU - Domenger, Jean-Philippe TI - Hybrid FPGA–CPU-Based Architecture for Object Recognition in Visual Servoing of Arm Prosthesis JF - JOURNAL OF IMAGING J2 - J IMAGING VL - 8 PY - 2022 IS - 2 SP - 44 SN - 2313-433X DO - 10.3390/jimaging8020044 UR - https://m2.mtmt.hu/api/publication/32675175 ID - 32675175 N1 - Funding Agency and Grant Number: Thematic Excellence Programme 2019 grant [TUDFO/51757-1/2019-ITM]; LABRI UMR CNRS 5800 grant Funding text: This research was funded by Thematic Excellence Programme 2019 grant number TUDFO/51757-1/2019-ITM and LABRI UMR CNRS 5800 grant. LA - English DB - MTMT ER - TY - JOUR AU - Szolgay, Péter TI - Circuits and Systems in Hungary JF - IEEE CIRCUITS AND SYSTEMS MAGAZINE J2 - IEEE CIRCUITS SYST MAG VL - 22 PY - 2022 IS - 1 SP - 79 EP - 80 PG - 2 SN - 1531-636X DO - 10.1109/MCAS.2022.3142691 UR - https://m2.mtmt.hu/api/publication/32760585 ID - 32760585 LA - English DB - MTMT ER - TY - CHAP AU - Fejér, Attila AU - Nagy, Zoltán AU - Benois-Pineau, Jenny AU - Szolgay, Péter AU - de Rugy, Aymar AU - Domenger, Jean-Philippe TI - Array computing based system for visual servoing of neuroprosthesis of upper limbs T2 - 2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) PB - IEEE CY - Piscataway (NJ) SN - 9781665439480 PY - 2021 SP - 1 EP - 5 PG - 5 DO - 10.1109/CNNA49188.2021.9610783 UR - https://m2.mtmt.hu/api/publication/32593151 ID - 32593151 LA - English DB - MTMT ER - TY - JOUR AU - Fejér, Attila AU - Nagy, Zoltán AU - Benois‐Pineau, Jenny AU - Szolgay, Péter AU - Rugy, Aymar AU - Domenger, Jean‐Philippe TI - Implementation of Scale Invariant Feature Transform detector on FPGA for low‐power wearable devices for prostheses control JF - INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS J2 - INT J CIRC THEOR APP VL - 2021 PY - 2021 SN - 0098-9886 DO - 10.1002/cta.3025 UR - https://m2.mtmt.hu/api/publication/32021068 ID - 32021068 LA - English DB - MTMT ER - TY - BOOK AU - Fejér, Attila AU - Nagy, Zoltán AU - J., Benois-Pineau AU - Szolgay, Péter AU - A, de Rugy AU - J. P., Domenger TI - FPGA-based SIFT implementation PY - 2019 UR - https://m2.mtmt.hu/api/publication/31041050 ID - 31041050 LA - English DB - MTMT ER - TY - JOUR AU - Fejér, Attila AU - Nagy, Zoltán AU - Jenny, Benois-Pineau AU - Szolgay, Péter AU - Aymar, de Rugy AU - Jean-Philippe, Domenger TI - A comparison of different SIFT implementation for vision-guides prosthetic arms JF - JEDLIK LABORATORIES REPORTS J2 - JEDLIK LABOR REP VL - 7 PY - 2019 IS - 2 SP - 19 EP - 20 PG - 2 SN - 2064-3942 UR - https://m2.mtmt.hu/api/publication/31040679 ID - 31040679 LA - English DB - MTMT ER - TY - CHAP AU - Fejér, Attila AU - Nagy, Zoltán AU - Benois-Pineau, Jenny AU - Szolgay, Péter AU - de Rugy, Aymar AU - Domenger, Jean-Philippe ED - IEEE, , TI - FPGA-based SIFT implementation for wearable computing T2 - 2019 IEEE 22nd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS) PB - IEEE CY - Piscataway (NJ) SN - 9781728100739 PY - 2019 SP - 1 EP - 4 PG - 4 DO - 10.1109/DDECS.2019.8724653 UR - https://m2.mtmt.hu/api/publication/31039147 ID - 31039147 AB - The article describes the first steps to achieve control over a robotic or prosthetic arm based on analysis of visual environment acquired in real-time by video cameras on glasses and on the prosthesis. One of the main goals of the research is to develop a wearable, portable, lightweight, and low power consumption device for visual scene analysis. This paper will discuss the critical steps of its implementation on an FPGA board. We implemented some time-consuming parts of the SIFT algorithm needed for the analysis in C/C++ language on TUL PYNQ-Z2 FPGA board. This implementation allows for a low power consumption of the programmable logic part of the system. The obtained value is 0.274W. Processing capacity is 96.45 images per second on a small wearable size device which allow for the real-time implementation of the whole analysis in the future. LA - English DB - MTMT ER - TY - JOUR AU - Juhász, János AU - Éva, Mercédesz Kistóth AU - Nagy, Zoltán AU - Szolgay, Péter AU - Pongor, Sándor AU - Ligeti, Balázs TI - Towards a systematic census of bacterial quorum sensing genes in public databases JF - JEDLIK LABORATORIES REPORTS J2 - JEDLIK LABOR REP VL - 7 PY - 2019 IS - 1 SP - 72 EP - 74 PG - 3 SN - 2064-3942 UR - https://m2.mtmt.hu/api/publication/30762833 ID - 30762833 AB - The growing body of sequence data offers new possibilities to find new bacterial quorum sensing (QS) genes. Here we outline a method that allows one to extract sequence as well as chromosomal position patterns from known QS genes that can be used to find similar gene arrangements in unannotated sequence data. Quorum sensing signaling is an autocrine signaling mechanism present in various unicellular organisms, mainly in bacteria. This mechanism is based on an incoherent feed forward network that, by definition consists of a positive feedback and negative feedback control loop. The heart of this mechanism is the positive feedback or autoinducer loop based on an enzymatic production of a signal molecule that binds to a sensor-receptor molecule that upregulates the production of the signal as well as the expression of various other genes. The “trick” of this mechanism is that the signal molecule can leave from as well as return to the cell either by active or by passive transport. The signal molecules outside the cell can influence the metabolism of other cells, so there will be a de facto communication between cells. If signal concentration in the extracellular space will be high enough, gene expression in all concerned cells will be upregulated, so the functioning of the cell population will be synchronized. This simple phenomenon allows a cell population to solve problems that individual cells cannot tackle, such as the colonization of a surface or infecting a host organism. On the other hand, the negative feedback loop plays a stabilizing role that does not allow signal production to grow without limits. As an example, luxR genes encode a transcriptional regulator that control acyl homoserine lactone-based quorum sensing (AHL QS) in many Gram negative bacteria. In this system the AHL signal travels through the bacterial cell wall via passive transport. On the bacterial chromosome, luxR genes are usually in the direct vicinity of a luxI gene encoding the AHL signal synthase. Genes involved in stabilization are often in between these two genes or are located next to them. Over 15 operon types were observed in the AHL signaling family alone. Another well studied QS mechanism in Gram positive bacteria is the comQXPA locus in Bacillus subtilis and related bacteria which encodes a QS system consisting of 4 genes. Here the signal is a peptide that is transported across the membrane via active transport. The peptide in the extracellular space is sensed by the extracellular part of a transmembrane receptor ComP. The intracellular part of the receptor is a histidine kinase which will phosphorylate a DNA-binding protein ComA. Once phosphorylated, ComA will bind to the chromosome and upregulate the production of a ComX protein that includes the peptide signal. This protein will then be cleaved by a transmembrane protein ComQ that will pump out the peptide signal into the extracellular space. The autoinducer loop of this system thus consists of 4 proteins and includes active transport, in contrast to the AHL system where the autoinducer loop consists of only two proteins and is based on passive transport. On the other hand, the topologies of the comQXPA genes are quite conserved, minor differences occur only in the overlap of the concerned genes. A preliminary overview of the current literature revealed about 20 further well studied quorum sensing systems. Comprehensive sequence collections were published on the AHL and the comQXPA systems approximately 5 years ago, but the body of available bacterial sequences has grown about 10 fold in the meantime so a survey of new data is an important task. The challenge of such a survey is the variability of the QS systems. Importantly, we can safely detect only the known, and let’s add, well known QS systems. The strategy tries to generalize the logics of our previous surveys, i.e. a QS system is considered as a generalized structure of entities and relationships which constitutes a graph in which protein coding genes are the nodes and intergenic distances are the edges. In order to detect such a gene set within the chromosome we need to apply parsimonious and scalable solutions because the number sequences to be screened is now many millions and the number is exponentially growing. One of the problem complicating the situation are the truncated topologies, i.e. operons where on ore more members are missing. For instance, AHL operons contain only two genes, luxI and luxR but many bacteria contain solo luxR genes, i.e. receptor genes with no signal synthase. Solo luxR genes are even more frequent than complete AHL operons. This can have many reasons. For instance, the survey did not pick up the adjacent luxI homolog either because its sequence is too divergent or because it is further away within the chromosome. Or the luxR gene may control and unknown type of signal synthase (as it was found in a few cases). Or the solo luxR protein responds to an unknown type of a signal. With more complex operons the situation is even more complicated, so we designed a search algorithm that employs a hierarchy of search space reduction steps which is based on a hierarchy of molecular descriptions, namely presence-absence, composition and full structure descriptions. For instance, if we have an operon of four members, we will keep only genomes where at least three of the components are present. From these we concentrate on genomes where the required number of elements are present within a certain distance, a value observed in the known instances of the operon. Finally establish the gene distances and write down the topology found. This is a highly efficient space reduction strategy since the compute/intensive steps are limited to very few cases. An additional challenge is the recent surge in the number of next generation sequencing data obtained on various bacterial systems. Such data, such as those present in the NCBI SRA archive consist of many million reads each, and it is important to know whether or not QS systems are present or are active in them. The collection of QS genes developed within our project will be a useful tool for detecting such genes directly from reads and from metagenomics datasets. The long term goal of this project is develop automated protocols to extract QS genes from genomic data. The output would be the topological description of the QS operons along with a quality indicator characterizing the reliability of the prediction. For the predictions we will use Hidden Markov Models as well as fast sequence compassion programs (Bowtie or BWA) ported to multicore architectures such as GPU and FPGA which will be used as search engines of dedicated web servers. LA - English DB - MTMT ER - TY - JOUR AU - Kistóth, Mercédesz AU - Juhász, János AU - Nagy, Zoltán AU - Szolgay, Péter AU - Pongor, Sándor AU - Ligeti, Balázs TI - Identifying ComQXPA bacterial quorum sensing system candidates in reference sequence databases using Hidden Markov Models JF - JEDLIK LABORATORIES REPORTS J2 - JEDLIK LABOR REP VL - 7 PY - 2019 IS - 4 SP - 88 EP - 88 PG - 1 SN - 2064-3942 UR - https://m2.mtmt.hu/api/publication/31633316 ID - 31633316 LA - English DB - MTMT ER -