Passer Journal最新文献

{"title":"MULTI-ENVIRONMENT TEST FOR STABILITY AND ADAPTABILITY USING LINE X TESTER CROSSING DESIGN IN MAIZE","authors":"Masood Saber Mohammed, S. Towfiq","doi":"10.24271/psr.2022.361531.1161","DOIUrl":"https://doi.org/10.24271/psr.2022.361531.1161","url":null,"abstract":"Stability and adaptability are two main Characteristics that affect most field crops' growth and yield. maize is mainly affected and highly sensitive to environmental conditions. Therefore, the present study aimed to evaluate the stability and adaptability of maize crop genotypes for some agronomic traits related to kernel yield under four different environmental conditions. The field experiments consisted of 9 parents and 20 maize hybrids and were evaluated in randomized block design during the autumn and spring seasons at each location of Kalar and Khanaqeen. Genetic analysis of stability and adaptability according to the methodology of Eberhart and Russel regression coefficient (bi) and Elsahookie, and Al-Rawi genotypic resultant (GR) were performed based on the average of all environments. Results indicated that the cross HS x 844 was stable and showed maximum value of genotypic resultant to kernel yield according to ElSahookie and Al-Rawi, while the crosses 4218 x zp-595, zp-430 x zp-595 and HS x sym-5 were adaptable for this trait according to Eberhart and Russell.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45842587","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}

{"title":"Secure Communication of the Integrated IoT and Cloud Computing","authors":"A. O. Abdalrahman, K. K. Jabbar, Araz B. Karim, O. Y. Abdulhammed","doi":"10.24271/psr.2022.160802","DOIUrl":"https://doi.org/10.24271/psr.2022.160802","url":null,"abstract":"One advanced technology that is expanding quickly in the communications area is the integration of Cloud computing with the IoT. This is because it is quick, easy, and inexpensive to use. Since the information sent between the sender and recipient is vulnerable to threats and attacks through eavesdropping or unauthorized, in this paper, encryption technology is used to protect the information that is sent from the intelligent building to the smartphone-controlled, where the information sent between the two parties is encrypted by relying on the Henon map, new diffusion technique and the XoR function. Several measures were used to measure the quality of the proposed system as Histogram, NPCR, PSNR, SSIM, QIU, MAE, and Entropy, as the results proved the strength, high-security effectiveness, and robustness of the proposed system.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47893379","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}

{"title":"Reliability of CBCT Dataset in Determination of Surgical Approaches of Maxillary Impacted Canine Teeth","authors":"Huner Hussein Rasheed, Nazar Hama Amin","doi":"10.24271/psr.2022.356606.1155","DOIUrl":"https://doi.org/10.24271/psr.2022.356606.1155","url":null,"abstract":"Background : One of the most commonly impacted teeth is the maxillary canine, right after the third molar. Many potential difficulties might arise before, during, and after the extraction of impacted maxillary teeth. Performing thorough radiographic exams can be beneficial. The information needed for a two-dimensional (2D) examination is provided by the periapical and panoramic radiographs (OPG) utilized in conventional dental radiography. Cone beam computed tomography (CBCT) is a novel imaging technology developed in response to the shortcomings of traditional (2-D) imaging methods. Everyone will gain from these problems being resolved. Objectives : This study aims to evaluate two types of 2D (OPG) and 3D imaging (CBCT) approaches for diagnosing and treating maxillary impacted canines. Furthermore, to determine the best approach selection option for surgical removal procedures utilizing OPG and CBCT, focusing on the sagittal section for increased safety and efficiency. Materials and Methods: This study is a prospective radiographic investigation of 80 patients with CBCT radiographic evaluation. Eighteen cases (22.5%) of men and 62 (77.5%) of women were reported. Version 27 of SPSS was used to analyze the data. The independent t-test offered information on the reliability of the quantitative variables. We utilized a Chi-square test for the qualitative analysis, and for the quantitative analysis, we used a cross-tabulation to determine the level of agreement. Results : The t-test result, depending on surgical approach time, was 8.4; there is a significant difference between the two radiography prognoses, with p-values of (0.000) at the significant level (0.05). The % age of agreement between impactions and surgical techniques ranged from 87.5% to 100%. Conclusion : This study shows that the CBCT guide can provide accurate, reliable, and reproducible results in assessing and predicting the kind of impaction and surgical approach in a simple, time-saving manner. © 2022 Production by the University of Garmian. This is an open access article under the LICENSE https://creativecommons.org/licenses/by-nc/4.0/","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46310523","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}

{"title":"Simulating the heat transfer behaviour in a fluidized bed by a combined thermal model in the CFD-DEM coupling","authors":"Sherko Flamarz","doi":"10.24271/psr.2022.161697","DOIUrl":"https://doi.org/10.24271/psr.2022.161697","url":null,"abstract":"The exchange of mass and heat transport in fluidized beds is a complicated and extensive topic, making it a rich field for scientific and industrial applications. This numerical research implements the CFD-DEM coupling to investigate the transport of heat energy in a fluidized bed. A numerical test compares the numerical and analytical results for a single particle in a column. Two cases of heating and cooling are compared. The numerical results present well adequacy with the analytical results. The development of fluidized bed units, within fluidized bed units is vital to improving the designs of these units. Therefore, three methods of column heating, including base heating, walls heating, and as well as walls and base heating, have been proposed in the simulations. The results reveal that the fluid inlet velocity increase during the fluidized beds' heating process is invalid. Thus, the fluid's proper inlet velocity and imposed temperature are crucial in the heating process for the fluidized beds since the particles need to provide time for the heat transport process.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44376475","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}

{"title":"Knowledge Discovery in Health Domain using Deep Neural Network Algorithms","authors":"Aras Ahmed Ali, M. Ghareb","doi":"10.24271/psr.2022.161644","DOIUrl":"https://doi.org/10.24271/psr.2022.161644","url":null,"abstract":"Knowledge discovery in databases (KDD) primarily depends on finding a strategy for effectively processing data. Data mining is a critical phase in the KDD process for extracting a valuable pattern from a dataset. Pattern extraction and discovery are complex processes that often require a vast dataset. Several applications and systems are used for health care and clinical data to diagnose and record patient records. The installed systems' primary goal is to extract a relevant pattern capable of improving healthcare services. To improve healthcare services, data mining necessitates the right design and execution of data mining algorithms to detect a unique pattern from large amounts of data. As a result, we propose using patient information from the Hewa Hospital in Sulamani, which is in charge of cancer and blood diseases, as a case study for our research. The primary goal of this research is to look at deep neural networks (DNN) and artificial neural networks (ANN) as classification algorithms that can assist us in making better judgments. The results show that the DNN algorithm outperforms the ANN method. When utilizing a 70:30 training and testing dataset, the score can reach 87.84.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43101920","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}

{"title":"Dynamic Routing Protocol in The Internet of Things (IoT)","authors":"R. S. Raza, Abdalbasit Mohammed Qadir","doi":"10.24271/psr.2022.161642","DOIUrl":"https://doi.org/10.24271/psr.2022.161642","url":null,"abstract":"In March 2012, Internet Engineering Task Force adopted IPv6 for lossy and low power networks (RPL) as the standard IoT routing protocol. After then, it found use in a wide variety of IoT settings. Although RPL provides a great deal of what an IoT network requires, it was not initially designed for such uses. Therefore, there are still some significant difficulties. However, massive amounts of data were gathered from these networks, including movies and photographs, which might cause congestion inside the core network region. Our research recommends using a CCR-based RPL, in which the content is the determinant of the routing paths, to address this issue. Suppose the relevant data is sent to the intermediate relaying nodes for processing, which may lead to a higher data aggregation ratio, effectively producing traffic inside the network. As a result, a substantial delay may be avoided. Wireless communication also significantly reduces energy consumption, which is very helpful for conserving the limited battery. CCR and the IETF RPL protocol were integrated and used inside the MATLAB environment. In the end, data from both implementation and simulation show that CCR-based RPL performs better than alternatives regarding the number of dead nodes it can handle, the latency between packets it can tolerate, and the energy efficiency of its transfers.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46470143","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}

{"title":"A Novel Technique for Smoothing Wind Farm Output Power Intermittency","authors":"Arfan M. Salih Hassan, Dlzar Al Kez","doi":"10.24271/psr.2022.161696","DOIUrl":"https://doi.org/10.24271/psr.2022.161696","url":null,"abstract":"In recent decades, climate change has evolved from a hypothetical threat to the earth and its inhabitants to a terrifying fact. It is occurring simultaneously that the price of oil and natural gas continues to rise, endangering the national economy and global security. As a result, seeking alternative renewable energy sources has become a pressing necessity. However, one of the main issues with wind and solar energy is that it is variable and intermittent, resulting in erroneous output power projections. To address this issue, the main objective of this paper is to present and analyze a new strategy for reducing the output power intermittency of distributed wind farms. Instead of aggregating all wind turbines in one location, the proposed approach distributes a large number of wind turbines throughout diverse geographical locations with significant wind potential energy. The total output power generation from all wind turbines is then aggregated through a single control system, which injects the power into the grid in a manner similar to a virtual power plant. Later, the analysis is broadened to further smooth out the fluctuation of the aggregated wind farm power by using energy storage devices and smart grid technologies. Finally, the analytical results reveal that the proposed methodology allows for extended periods of energy delivery when wind speeds are low or not blowing.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44578456","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}

{"title":"Malaria Parasite Identification from Red Blood Cell Images Using Transfer Learning Models","authors":"Abdalbasit Mohammed Qadir, Peshraw Ahmed Abdalla, Mazen Ismael Ghareeb","doi":"10.24271/psr.2022.161045","DOIUrl":"https://doi.org/10.24271/psr.2022.161045","url":null,"abstract":"Malaria is a dangerous viral disease caused by Plasmodium protozoan parasites that are spread by the bite of an infected female Anopheles mosquito. This pandemic disease's fast and precise identification is essential for effective treatment. The most reliable method for diagnosing malaria is a microscopic examination of a thick and thin blood smear, which looks for the parasite and counts the number of infected cells. The ability to wholly or partially automate the identification of the disease using the information in medical images highlights the critical role that computer-aided diagnosis plays in modern medicine, in which machine learning and deep learning play a critical role. In this study, we have presented an in-depth overview of the techniques and methods used to diagnose the malaria parasite through blood slides automatically. One of the techniques is using transfer learning models to detect the malaria parasite. We have compared the performance of transfer learning models on identifying infected malaria cells by feeding the models a large dataset of uninfected and parasite cell images. The results show that the DensNet models have the edge over the other models, with DenseNet-201 achieving the highest accuracy and F1 score of 0.9339 and 0.9321, respectively. Also, DenseNet-169 outperformed the other models with 0.9594 in precision, and finally, Densenet-121 had the highest recall with 0.9490.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48744573","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}

{"title":"Model Reduction and Analysis for ERK Cell Signalling Pathway Using Implicit-Explicit Rung-Kutta Methods","authors":"Hemn M. Rasool, Mardan A. Pirdawood, Younis A. Sabawi, Roshna Mahmood, Prshng Khalil","doi":"10.24271/psr.2022.161692","DOIUrl":"https://doi.org/10.24271/psr.2022.161692","url":null,"abstract":"Many complex cell signalling pathways and chemical reaction networks include many variables and parameters; this is sometimes a big issue for identifying critical model elements and describing the model dynamics. Therefore, model reduction approaches can be employed as a mathematical tool to reduce the number of elements. In this study, we use a new technique for model reduction: the Lumping of parameters for the simple linear chemical reaction network and the complex cell signalling pathway that is extracellular-signal-regulated kinase (ERK) pathways. Moreover, we propose a high-order and accurate method for solving stiff nonlinear ordinary differential equations. The curtail idea of this scheme is based on splitting the problem into stiff and non-stiff terms. More specifically, stiff discretization uses the implicit method, and nonlinear discretization uses the explicit method. This is consequently leading to a reduction in the computational cost of the scheme. The main aim of this study is to reduce the complex cell signalling pathway models by proposing an accurate numerical approximation Runge-Kutta method. This improves one's understanding of such behaviour of these systems and gives an accurate approximate solution. Based on the suggested technique, the simple model's parameters are minimized from 6 to 3, and the complex models from 11 to 8. Results show that there is a good agreement between the original models and the simplified models.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47964166","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}

{"title":"Finding Approximate Roots of Nonlinear Equations by Using New Sixth-Order Convergence","authors":"Rzgar F. Mahmood, M. Mrakhan, O. Ahmed","doi":"10.24271/psr.2022.161694","DOIUrl":"https://doi.org/10.24271/psr.2022.161694","url":null,"abstract":"In this study, we introduced new iterative techniques, for the purpose solving nonlinear equations. The new approaches are based on the auxiliary equation and Newton's method, respectively. Our method's a convergence analysis is explained. The novel approach is found to have convergence order of six. Numerical experiments show that the new method work better than well-known iterative methods and is similar to them.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47359864","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}