Passer JournalPub Date : 2022-12-01DOI: 10.24271/psr.2022.351404.1143
Kamal Haji Karim Haji Karim, Araz O. S. Al-Khafaf, Z. Taha, S. Kharajiany
{"title":"Geology of recently recognized lithologies inside the Red Bed Series in the Chwarta-Mawat area, Kurdistan Region, NE-Iraq","authors":"Kamal Haji Karim Haji Karim, Araz O. S. Al-Khafaf, Z. Taha, S. Kharajiany","doi":"10.24271/psr.2022.351404.1143","DOIUrl":"https://doi.org/10.24271/psr.2022.351404.1143","url":null,"abstract":"The sequence of the coastal siliciclastic facies of the Paleocene-Eocene Zagros Foreland Basin is well exposed in the Chwarta-Mawat area, north of Sulaimani Governorate, northeastern Iraq. According to previous studies, this sequence is designated as Red Beds Series (RBS), consisting of more than 2000 m of fine and coarse red and grey clastics. The present study found recently recognized lithologies (RRLs) about 100 thick inside the series and encompassed green marlstone with subsidiary detrital limestone which has significant tectonic and paleogeographic results. The petrography, biostratigraphy, and boundary conditions studies are applied to uncover their origin. The new lithologies are deposited in the subsiding basin in the Imbricate Zone during the Middle Eocene. During this age, the Tertiary Foreland Basin was separated by a paleohigh into two basins, (northern and southern basins). In the northern basin, the RRLs have deposited as deep facies of the Naopurdan Formation while in the southern basin the Pila Spi Formation was deposited as lagoonal facies. The former formation was deposited as reefal facies in the shelf area of the northern basin to the northeast Chawrta and Mawat Towns. The RRLs, units one and two of the series (in the Thrust Zone) are correlated respectively with Pila Spi, Sinjar and Gercus formations in the High Folded Zone. These correlations are shown on the stratigraphic columns and paleogeographic models with the aid of nannofossil and benthonic foraminiferal studies. This study is the most important step for solving the tectonic and paleogeographic setting of northeastern Iraq and for a better understanding of the Zagros Collisional belt.","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":"48689473","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}
Passer JournalPub Date : 2022-12-01DOI: 10.24271/psr.2022.361419.1160
Dalia Hashem Jasem, M. Khalil
{"title":"Effect of ZnO, Cu, and SiO2 Nanoparticles on Drought Resistance in Two Wheat Varieties: Kalar1 and Kalar2 during Seedling Stage.","authors":"Dalia Hashem Jasem, M. Khalil","doi":"10.24271/psr.2022.361419.1160","DOIUrl":"https://doi.org/10.24271/psr.2022.361419.1160","url":null,"abstract":"Drought is abiotic stress that directly influences crop growth performance, including wheat. In this study, the nanotechnology method was applied to decrease the impact of drought on wheat growth. For this purpose, three types of drought resistance nanoparticles (Silicon dioxide (SiO2), Zinc oxide (ZnO), and Copper (Cu)) were used with two wheat varieties (kalar1 and kalar2) in the Garmian district. The results showed that nanoparticles increased specific leaf area, chlorophyll, soluble carbohydrate, catalase enzyme activity, phosphor, and potassium under drought stress compared with the control. SiO2 and ZnO nanoparticles had better impacts on some morphological and biochemical parameters than Cu. Different drought-resistance nanoparticles could be used to cope with drought impact in the Garmain district and improve wheat growth.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":"132 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41271692","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}
Passer JournalPub Date : 2022-12-01DOI: 10.24271/psr.2022.361531.1161
Masood Saber Mohammed, S. Towfiq
{"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}
Passer JournalPub Date : 2022-11-01DOI: 10.24271/psr.2022.160802
A. O. Abdalrahman, K. K. Jabbar, Araz B. Karim, O. Y. Abdulhammed
{"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}
Passer JournalPub Date : 2022-11-01DOI: 10.24271/psr.2022.161697
Sherko Flamarz
{"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}
Passer JournalPub Date : 2022-11-01DOI: 10.24271/psr.2022.161644
Aras Ahmed Ali, M. Ghareb
{"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}
Passer JournalPub Date : 2022-11-01DOI: 10.24271/psr.2022.161045
Abdalbasit Mohammed Qadir, Peshraw Ahmed Abdalla, Mazen Ismael Ghareeb
{"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}
Passer JournalPub Date : 2022-11-01DOI: 10.24271/psr.2022.161696
Arfan M. Salih Hassan, Dlzar Al Kez
{"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}
Passer JournalPub Date : 2022-11-01DOI: 10.24271/psr.2022.161642
R. S. Raza, Abdalbasit Mohammed Qadir
{"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}