Martsenyuk Vasyl, Abubakar Umar Sadiq, Sverstiuk Andriy, Dimitrov Georgi, Gancarczyk Tomasz
Acute lymphoblastic leukemia, a pervasive form of the carcinogenic disease, is a lethal ailment subjecting numerous pediatric patients globally to terminal conditions. is a rapidly progressive condition, that exposes patients to conditions including Tumor Lysis Syndrome which often occurs early after the induction chemotherapy, contemporary research focuses primarily on the development of techniques for the early diagnosis of Acute Lymphoblastic Leukemia (ALL), leaving a gap within the literature. This study examines the application of machine learning techniques for the prognosis the mutation rate of cancer cells in pediatric patients with Acute Lymphoblastic Leukemia using clinical data from patients with ALL, who have undergone tests using Next Generation Sequencing (NGS) technology. An overview of the clinical data utilized is provided in this study, with a comprehensive workflow encompassing, data analysis, dimensionality reduction, classification and regression tree algorithm (CART), and neural networks. Results here demonstrate the efficiency with which these methods are able to target and decipher cancer cell proliferation in pediatric patients suffering from acute lymphoblastic leukemia. Valuable insights into relationships between key factors and conversion rates were also derived through data mining. However, tree classification and regression algorithms and neural networks used herein indicate the flexibility and the power of machine learning models in predicting the recurrence of cancer cells accurately. This study’s results affirm previous findings thus giving clinical proof for mutational drivers among pediatric patients having Acute Lymphoblastic Leukemia. This adds value to results by providing an applicable utility in medical practice. Principally, this study denotes a substantial advancement in leveraging machine learning workflows for mutation rate analysis of cancer cells. By appraising clinical corroboration, emphasizing the explain ability and interpretability, and building upon these findings, future research can contribute to improving patient care and results in the field of Leukaemia.
{"title":"Stochastic Machine Learning Models for Mutation Rate Analysis of Malignant Cancer Cells in Patients with Acute Lymphoblastic Leukemia","authors":"Martsenyuk Vasyl, Abubakar Umar Sadiq, Sverstiuk Andriy, Dimitrov Georgi, Gancarczyk Tomasz","doi":"10.46300/9106.2024.18.1","DOIUrl":"https://doi.org/10.46300/9106.2024.18.1","url":null,"abstract":"Acute lymphoblastic leukemia, a pervasive form of the carcinogenic disease, is a lethal ailment subjecting numerous pediatric patients globally to terminal conditions. is a rapidly progressive condition, that exposes patients to conditions including Tumor Lysis Syndrome which often occurs early after the induction chemotherapy, contemporary research focuses primarily on the development of techniques for the early diagnosis of Acute Lymphoblastic Leukemia (ALL), leaving a gap within the literature. This study examines the application of machine learning techniques for the prognosis the mutation rate of cancer cells in pediatric patients with Acute Lymphoblastic Leukemia using clinical data from patients with ALL, who have undergone tests using Next Generation Sequencing (NGS) technology. An overview of the clinical data utilized is provided in this study, with a comprehensive workflow encompassing, data analysis, dimensionality reduction, classification and regression tree algorithm (CART), and neural networks. Results here demonstrate the efficiency with which these methods are able to target and decipher cancer cell proliferation in pediatric patients suffering from acute lymphoblastic leukemia. Valuable insights into relationships between key factors and conversion rates were also derived through data mining. However, tree classification and regression algorithms and neural networks used herein indicate the flexibility and the power of machine learning models in predicting the recurrence of cancer cells accurately. This study’s results affirm previous findings thus giving clinical proof for mutational drivers among pediatric patients having Acute Lymphoblastic Leukemia. This adds value to results by providing an applicable utility in medical practice. Principally, this study denotes a substantial advancement in leveraging machine learning workflows for mutation rate analysis of cancer cells. By appraising clinical corroboration, emphasizing the explain ability and interpretability, and building upon these findings, future research can contribute to improving patient care and results in the field of Leukaemia.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":" 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141676841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.18178/ijsps.11.2.7-10
Lianly Rompis, Julie Rante
—In daily life, humans often encounter difficulties when performing activities such as working or learning, particularly when handling small components such as needles, screws, clips, coin batteries and electronic components. These objects are frequently dropped and finding them can consume extra time and energy. Additionally, they pose a danger to babies and children while they are playing around. Given that smartphones have become essential devices for communication and are highly versatile, easily used both at work and at home, the research team from the Faculty of Engineering was motivated to study how to optimize the use of smartphones for detecting small objects. The research methodology included a literature review, observation, and analysis using a smartphone and neon camera application. This application was selected due to its unique characteristics to produce a perfect black background and color image frame. Five small components were chosen as samples for the research: needles, screws, clips, coin batteries, and transparent Light Emitting Diodes (LEDs). The results provide a fundamental understanding for further development of using neon cameras to detect small objects.
{"title":"Detecting Small Objects Using a Smartphone and Neon Camera","authors":"Lianly Rompis, Julie Rante","doi":"10.18178/ijsps.11.2.7-10","DOIUrl":"https://doi.org/10.18178/ijsps.11.2.7-10","url":null,"abstract":"—In daily life, humans often encounter difficulties when performing activities such as working or learning, particularly when handling small components such as needles, screws, clips, coin batteries and electronic components. These objects are frequently dropped and finding them can consume extra time and energy. Additionally, they pose a danger to babies and children while they are playing around. Given that smartphones have become essential devices for communication and are highly versatile, easily used both at work and at home, the research team from the Faculty of Engineering was motivated to study how to optimize the use of smartphones for detecting small objects. The research methodology included a literature review, observation, and analysis using a smartphone and neon camera application. This application was selected due to its unique characteristics to produce a perfect black background and color image frame. Five small components were chosen as samples for the research: needles, screws, clips, coin batteries, and transparent Light Emitting Diodes (LEDs). The results provide a fundamental understanding for further development of using neon cameras to detect small objects. ","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86254223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-04DOI: 10.46300/9106.2023.17.22
Fu Mao
In the use of new energy vehicles, user experience has always been the key project of major manufacturers. At present, the research on user experience focuses on the posture performance of the vehicle itself, and less attention is paid to road noise. Therefore, this study takes the road noise problem of new energy vehicles as the object. The finite element analysis method is chosen for modeling. And the research on the optimization of road noise is carried out. After modeling, the correctness of the model was tested, and all four modes were controlled within the modal error range of 5%. When the new energy vehicle based on this model ran at 80 km/h, the peak road noise was reduced by about 11 dB(A). In addition, after optimizing the tire, the peak value decreased by 4 dB(A). After optimizing the transverse stinger of the rear suspension, the Z-bending mode was increased by 22.3 Hz. Compared with the previous basic scheme, the optimization effect was obvious. When the optimized new energy vehicle ran at a speed of 60 km/h, the peak value is reduced by about 5 dB(A) on the rough road with a frequency of 65 Hz. The results showed that, under the proposed method, the road noise problem was improved, the peak value of the problem was eliminated, and the expected acceptable range was reached.
{"title":"Optimization of New Energy Vehicle Road Noise Problem Based on Finite Element Analysis Method","authors":"Fu Mao","doi":"10.46300/9106.2023.17.22","DOIUrl":"https://doi.org/10.46300/9106.2023.17.22","url":null,"abstract":"In the use of new energy vehicles, user experience has always been the key project of major manufacturers. At present, the research on user experience focuses on the posture performance of the vehicle itself, and less attention is paid to road noise. Therefore, this study takes the road noise problem of new energy vehicles as the object. The finite element analysis method is chosen for modeling. And the research on the optimization of road noise is carried out. After modeling, the correctness of the model was tested, and all four modes were controlled within the modal error range of 5%. When the new energy vehicle based on this model ran at 80 km/h, the peak road noise was reduced by about 11 dB(A). In addition, after optimizing the tire, the peak value decreased by 4 dB(A). After optimizing the transverse stinger of the rear suspension, the Z-bending mode was increased by 22.3 Hz. Compared with the previous basic scheme, the optimization effect was obvious. When the optimized new energy vehicle ran at a speed of 60 km/h, the peak value is reduced by about 5 dB(A) on the rough road with a frequency of 65 Hz. The results showed that, under the proposed method, the road noise problem was improved, the peak value of the problem was eliminated, and the expected acceptable range was reached.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78786400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-03DOI: 10.46300/9106.2023.17.21
A. Sidorenko, N. Klenov, I. Soloviev, S. Bakurskiy, V. Boian, R. Morari, Yu. B. Savva, A. Lomakin, Ludmila Sidorenko, Svetlana Sidorenko, Irina Sidorenko, O. Severyukhina, Aleksey Fedotov, Anastasia Salamatina, A. Vakhrushev
A radical reduction in power consumption is becoming an important task in the development of supercomputers. Artificial neural networks (ANNs) based on superconducting elements of spintronics seem to be the most promising solution. A superconducting ANN needs to develop two basic elements - a nonlinear (neuron) and a linear connecting element (synapse). The theoretical and experimental results of this complex and interdisciplinary problem are presented in this paper. The results of our theoretical and experimental study of the proximity effect in a stacked superconductor/ferromagnet (S/F) superlattice with Co-ferromagnetic layers of various thicknesses and coercive fields and Nb-superconducting layers of constant thickness equal to the coherence length of niobium and some studies using computer simulation of the formation of such multilayer nanostructures and their magnetic properties are presented in this article.
{"title":"Base Elements for Artificial Neural Network: Structure Modeling, Production, Properties","authors":"A. Sidorenko, N. Klenov, I. Soloviev, S. Bakurskiy, V. Boian, R. Morari, Yu. B. Savva, A. Lomakin, Ludmila Sidorenko, Svetlana Sidorenko, Irina Sidorenko, O. Severyukhina, Aleksey Fedotov, Anastasia Salamatina, A. Vakhrushev","doi":"10.46300/9106.2023.17.21","DOIUrl":"https://doi.org/10.46300/9106.2023.17.21","url":null,"abstract":"A radical reduction in power consumption is becoming an important task in the development of supercomputers. Artificial neural networks (ANNs) based on superconducting elements of spintronics seem to be the most promising solution. A superconducting ANN needs to develop two basic elements - a nonlinear (neuron) and a linear connecting element (synapse). The theoretical and experimental results of this complex and interdisciplinary problem are presented in this paper. The results of our theoretical and experimental study of the proximity effect in a stacked superconductor/ferromagnet (S/F) superlattice with Co-ferromagnetic layers of various thicknesses and coercive fields and Nb-superconducting layers of constant thickness equal to the coherence length of niobium and some studies using computer simulation of the formation of such multilayer nanostructures and their magnetic properties are presented in this article.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76021897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-29DOI: 10.46300/9106.2023.17.20
S. Yoshizawa, Atsushi Wada, Hideki Sugimoto
Underwater acoustic positioning system (UAPS) is used to know the positions of underwater robots and underwater structures. In ultra-short baseline (USBL) acoustic positioning systems, the three-dimensional position is determined by measuring the time difference of arrival (TDOA). In this paper, we investigate the acoustic positioning system targeting multiple sound sources and propose a simultaneous multi-point measurement method using time division and code division multiplexing (TD-CDM). TD-CDM provides higher position accuracy than code division multiplexing (CDM) and has a much shorter positioning time than time division and multiplexing (TDM). The effectiveness of TD-CDM has been proven by the results of the water tank experiment and simulation.
{"title":"Underwater Acoustic Positioning for Close Sources Using Time Division and Code Division Multiplexing","authors":"S. Yoshizawa, Atsushi Wada, Hideki Sugimoto","doi":"10.46300/9106.2023.17.20","DOIUrl":"https://doi.org/10.46300/9106.2023.17.20","url":null,"abstract":"Underwater acoustic positioning system (UAPS) is used to know the positions of underwater robots and underwater structures. In ultra-short baseline (USBL) acoustic positioning systems, the three-dimensional position is determined by measuring the time difference of arrival (TDOA). In this paper, we investigate the acoustic positioning system targeting multiple sound sources and propose a simultaneous multi-point measurement method using time division and code division multiplexing (TD-CDM). TD-CDM provides higher position accuracy than code division multiplexing (CDM) and has a much shorter positioning time than time division and multiplexing (TDM). The effectiveness of TD-CDM has been proven by the results of the water tank experiment and simulation.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88022368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-29DOI: 10.46300/9106.2023.17.19
Mohammad Ali Ashna, Dong Liang
The use of grid systems for distributing and managing resources such as computing power and data storage has become increasingly widespread in recent years. However, as the demand for these resources continues to grow, the capacity of traditional grid systems to meet this demand has become a concern. When dealing with the constantly expanding system scale and its many uncertainties, traditional model-based techniques are becoming unsuitable. A better alternative to these techniques involves considering data-driven control (DDC) methodologies. In this paper, we begin by reviewing the current state of the art in DDC usage in grid systems in monitoring, improving, error detection, etc. with a particular focus on improving host capacity. We then describe our proposed approach, which involves improving the host capacity of grid systems using historical data. Finally, we present experimental results demonstrating the effectiveness of our approach and discuss its potential impact and future directions.
{"title":"Distributed Generation Hosting Capacity Evaluation for Distribution Networks Considering Uncertainty","authors":"Mohammad Ali Ashna, Dong Liang","doi":"10.46300/9106.2023.17.19","DOIUrl":"https://doi.org/10.46300/9106.2023.17.19","url":null,"abstract":"The use of grid systems for distributing and managing resources such as computing power and data storage has become increasingly widespread in recent years. However, as the demand for these resources continues to grow, the capacity of traditional grid systems to meet this demand has become a concern. When dealing with the constantly expanding system scale and its many uncertainties, traditional model-based techniques are becoming unsuitable. A better alternative to these techniques involves considering data-driven control (DDC) methodologies. In this paper, we begin by reviewing the current state of the art in DDC usage in grid systems in monitoring, improving, error detection, etc. with a particular focus on improving host capacity. We then describe our proposed approach, which involves improving the host capacity of grid systems using historical data. Finally, we present experimental results demonstrating the effectiveness of our approach and discuss its potential impact and future directions.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83410163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-13DOI: 10.46300/9106.2023.17.17
E. Benyoussef, S. Barkat
This work relates to the study of direct torque control based on space vector modulation applied on five-phase induction machine. It is well established that the conventional direct torque control using hysteresis comparators suffers from high torque ripples and variable switching frequency. The most common solution to those problems is the use of space vector modulation. In the other hand, this paper aims also to design an extended Kalman filter observer for speed/flux estimation, which improves not only the control performances by using a sensorless algorithm but also can lower the cost and increase the reliability of the system. Both theoretical principle and simulation results of the sensorless control method of multiphase drive will be conducted to verify the effectiveness of the proposed control approach.
{"title":"DTC-SVM οf Sensorless Five-phase Induction Machine Using Extended Kalman Filter","authors":"E. Benyoussef, S. Barkat","doi":"10.46300/9106.2023.17.17","DOIUrl":"https://doi.org/10.46300/9106.2023.17.17","url":null,"abstract":"This work relates to the study of direct torque control based on space vector modulation applied on five-phase induction machine. It is well established that the conventional direct torque control using hysteresis comparators suffers from high torque ripples and variable switching frequency. The most common solution to those problems is the use of space vector modulation. In the other hand, this paper aims also to design an extended Kalman filter observer for speed/flux estimation, which improves not only the control performances by using a sensorless algorithm but also can lower the cost and increase the reliability of the system. Both theoretical principle and simulation results of the sensorless control method of multiphase drive will be conducted to verify the effectiveness of the proposed control approach.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80034676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-13DOI: 10.46300/9106.2023.17.14
Lichen Zhu, Peng Guan, Weiping Liu, Y. Zheng
Leaf area index (LAI) is an important biological factor reflecting vegetation growth and forest ecosystem. LAI can be used to obtain plant health status, carbon cycle, and surrounding ecological environment effectively. In this study, the smartphone was equipped with a fisheye lens, and the optimization method was used to estimate LAI, which was compared with digital hemispherical photography (DHP) to investigate the possibility of the new method for LAI estimation. The hemispherical image was divided into blocks, and the optimized Otsu method was used for algorithm segmentation, which can effectively distinguish vegetation from the sky. Concurrently, when the gap fraction inversion LAI was performed, the linear inversion algorithm was improved based on single-angle inversion, and the LAI was obtained by inversion through the linear fitting of the mul-tiangle gap fraction. The experimental sample was located in Olympic National Forest Park in Beijing. Three coniferous mixed forests and three broadleaved forests were selected from the experimental sample. LAI measurements from smartphones were compared with those from DHP. In the samples for mixed coniferous forests, the values for coefficients of determination R^2 were 0.835, 0.802, and 0.809, and root mean square errors (REMS) were 0.137, 0.120, and 0.147. For the broadleaf forest samples, the values for R² were 0.629, 0.679, and 0.758, and REMS were 0.144, 0.135, and 0.137. The R^2 and RMES for the overall data was 0.810 and 0.134, respectively, and a good agreement between the LAI measurements from the proposed method and those from the DHP supports an accurate estimation. The results show that the use of a fisheye lens on a smartphone can effectively and accurately obtain tree canopy LAI. This provides a fast and effective new method to measure LAI of forest vegetation near the ground, which is of great significance for studying the interaction between plant growth status, ecological environment, and phenological changes.
{"title":"Optimization of Lai Estimation Method Based on Smartphones with Fisheye Lens","authors":"Lichen Zhu, Peng Guan, Weiping Liu, Y. Zheng","doi":"10.46300/9106.2023.17.14","DOIUrl":"https://doi.org/10.46300/9106.2023.17.14","url":null,"abstract":"Leaf area index (LAI) is an important biological factor reflecting vegetation growth and forest ecosystem. LAI can be used to obtain plant health status, carbon cycle, and surrounding ecological environment effectively. In this study, the smartphone was equipped with a fisheye lens, and the optimization method was used to estimate LAI, which was compared with digital hemispherical photography (DHP) to investigate the possibility of the new method for LAI estimation. The hemispherical image was divided into blocks, and the optimized Otsu method was used for algorithm segmentation, which can effectively distinguish vegetation from the sky. Concurrently, when the gap fraction inversion LAI was performed, the linear inversion algorithm was improved based on single-angle inversion, and the LAI was obtained by inversion through the linear fitting of the mul-tiangle gap fraction. The experimental sample was located in Olympic National Forest Park in Beijing. Three coniferous mixed forests and three broadleaved forests were selected from the experimental sample. LAI measurements from smartphones were compared with those from DHP. In the samples for mixed coniferous forests, the values for coefficients of determination R^2 were 0.835, 0.802, and 0.809, and root mean square errors (REMS) were 0.137, 0.120, and 0.147. For the broadleaf forest samples, the values for R² were 0.629, 0.679, and 0.758, and REMS were 0.144, 0.135, and 0.137. The R^2 and RMES for the overall data was 0.810 and 0.134, respectively, and a good agreement between the LAI measurements from the proposed method and those from the DHP supports an accurate estimation. The results show that the use of a fisheye lens on a smartphone can effectively and accurately obtain tree canopy LAI. This provides a fast and effective new method to measure LAI of forest vegetation near the ground, which is of great significance for studying the interaction between plant growth status, ecological environment, and phenological changes.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84050329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-13DOI: 10.46300/9106.2023.17.13
Ado-Baba Ahmed, Tahar Kebi
Our research is part of the enhancement of our plant heritage that we deemed necessary to exploit it, our choice fell on a medicinal plant Marrubium vulgare L and this by the phytochemical characterization (of leaves, stems and roots) followed by the study of the xerophytic character, by determining the content of five heavy metals (Zinc, Copper, Cadmium, Lead and Chromium)in the different organs and by analysis with atomic absorption spectrometry (AAS). The results of the phytochemical tests showed the richness in secondary compounds, namely: flavonoids, tannins, saponosides, coumarins and reducing compounds. heavy metal analyzes showed that Marrubium vulgare L was found to have a high capacity to accumulate heavy metals, especially chromium and copper. The levels of its heavy metals are within the toxic threshold of plants.
{"title":"Phytochemical Screening and Evaluation of Heavy Metals in a Medicinal Plant Marrubium Vulgare L","authors":"Ado-Baba Ahmed, Tahar Kebi","doi":"10.46300/9106.2023.17.13","DOIUrl":"https://doi.org/10.46300/9106.2023.17.13","url":null,"abstract":"Our research is part of the enhancement of our plant heritage that we deemed necessary to exploit it, our choice fell on a medicinal plant Marrubium vulgare L and this by the phytochemical characterization (of leaves, stems and roots) followed by the study of the xerophytic character, by determining the content of five heavy metals (Zinc, Copper, Cadmium, Lead and Chromium)in the different organs and by analysis with atomic absorption spectrometry (AAS). The results of the phytochemical tests showed the richness in secondary compounds, namely: flavonoids, tannins, saponosides, coumarins and reducing compounds. heavy metal analyzes showed that Marrubium vulgare L was found to have a high capacity to accumulate heavy metals, especially chromium and copper. The levels of its heavy metals are within the toxic threshold of plants.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86853159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-13DOI: 10.46300/9106.2023.17.18
Younes Bouzegag, Djamal Teguig, A. Maali
The hidden-nodes and noise uncertainty have a negative impact on the spectrum sensing results in cognitive radio. Accordingly, cooperative spectrum sensing is proposed to effectively increase detection reliability by dealing with different soft and hard patterns in the fusion center. In the present work, we analyzed various soft and hard fusion rules. Improved Square Law Combining (SLC) rules are proposed to provide better detection performance than the conventional scheme. To validate the introduced rule, MATLAB simulations were conducted revealing the out-performance of the proposed schemes over the conventional one even in a critical wireless environment with a low signal-to-noise ratio. The proposed approach is then more advantageous because it minimizes the trade-off between detection performance and computational complexity.
{"title":"An Enhanced SLC Scheme for Cooperative Spectrum Sensing System in Cognitive Radio","authors":"Younes Bouzegag, Djamal Teguig, A. Maali","doi":"10.46300/9106.2023.17.18","DOIUrl":"https://doi.org/10.46300/9106.2023.17.18","url":null,"abstract":"The hidden-nodes and noise uncertainty have a negative impact on the spectrum sensing results in cognitive radio. Accordingly, cooperative spectrum sensing is proposed to effectively increase detection reliability by dealing with different soft and hard patterns in the fusion center. In the present work, we analyzed various soft and hard fusion rules. Improved Square Law Combining (SLC) rules are proposed to provide better detection performance than the conventional scheme. To validate the introduced rule, MATLAB simulations were conducted revealing the out-performance of the proposed schemes over the conventional one even in a critical wireless environment with a low signal-to-noise ratio. The proposed approach is then more advantageous because it minimizes the trade-off between detection performance and computational complexity.","PeriodicalId":13929,"journal":{"name":"International Journal of Circuits, Systems and Signal Processing","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75668118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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