The progress of network and multimedia technologies has been phenomenal during the previous two decades. Unauthorized users will be able to copy, retransmit, modify reproduction, and upload the contents more easily as a result of this innovation. Malicious attackers are quite concerned about the development and widespread use of digital video. Digital watermarking technology gives solutions to the aforementioned problems. Watermarking methods can alleviate these issues by embedding a secret watermark in the original host data, allowing the genuine user or file owner to identify any manipulation. In this study, lots of papers have been analyzed and studied carefully, in the period 2011–2022. The historical basis of the subject should not be forgotten so studying old research will give a clear idea of the topic. To aid future researchers in this subject, we give a review of fragile watermarking approaches and some related papers presented in recent years. This paper presents a comparison of many relevant works in this field based on some of the outcomes and improvements gained in these studies, which focuses on the common characteristics that increase the effect of watermarking techniques such as invisibility, tamper detection, recovery, and security
{"title":"The Most Common Characteristics of Fragile Video Watermarking","authors":"Y. A. Hassan, Abdul Monem S. Rahmah","doi":"10.14500/aro.11113","DOIUrl":"https://doi.org/10.14500/aro.11113","url":null,"abstract":"The progress of network and multimedia technologies has been phenomenal during the previous two decades. Unauthorized users will be able to copy, retransmit, modify reproduction, and upload the contents more easily as a result of this innovation. Malicious attackers are quite concerned about the development and widespread use of digital video. Digital watermarking technology gives solutions to the aforementioned problems. Watermarking methods can alleviate these issues by embedding a secret watermark in the original host data, allowing the genuine user or file owner to identify any manipulation. In this study, lots of papers have been analyzed and studied carefully, in the period 2011–2022. The historical basis of the subject should not be forgotten so studying old research will give a clear idea of the topic. To aid future researchers in this subject, we give a review of fragile watermarking approaches and some related papers presented in recent years. This paper presents a comparison of many relevant works in this field based on some of the outcomes and improvements gained in these studies, which focuses on the common characteristics that increase the effect of watermarking techniques such as invisibility, tamper detection, recovery, and security \u0000 ","PeriodicalId":8398,"journal":{"name":"ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY","volume":"18 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77574196","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}
Due to advancement in internet of medical things, the conventional health-care systems are transformed into smart health-care systems. The medical emergence services can be significantly enhanced by integration of IoMT and data analytic techniques. These technologies also examine the unexplored area of medical services that are still unseen and provide opportunity for investigation. Moreover, the concept of smart cities is not achievable without providing a smart connected healthcare scheme. Hence, the main purpose of this research is to come up with a smart healthcare system based on IoMT, Cloud and Fog computing and intelligent data analytic technique. The major objective of the proposed healthcare system is to develop a diagnostic model capable for earlier treatment of heart disease. The suggested scheme consists of distinct phases such as data acquisition, feature extraction, FogBus based edge/fog computing environment, classification, and evaluation. In data acquisition, different IoMT such as wearables and sensors devices are considered to acquire the data related to heart disease and the various features related to signal and data are extracted. Further, the deep forest technique is integrated into the proposed system for classification task and effective diagnosis capabilities of heart issues. The performance of the suggested scheme is evaluated through set of well-defined parameters. Comparison with other healthcare model was conducted for the purpose of performance evaluation. It is concluded that the proposed model has a superiority over other all other models in different aspects namely, the sensitivity measure, accuracy measure, and specificity.
{"title":"Deep Forest Based Internet of Medical Things System for Diagnosis of Heart Disease","authors":"","doi":"10.14500/aro.11174","DOIUrl":"https://doi.org/10.14500/aro.11174","url":null,"abstract":"Due to advancement in internet of medical things, the conventional health-care systems are transformed into smart health-care systems. The medical emergence services can be significantly enhanced by integration of IoMT and data analytic techniques. These technologies also examine the unexplored area of medical services that are still unseen and provide opportunity for investigation. Moreover, the concept of smart cities is not achievable without providing a smart connected healthcare scheme. Hence, the main purpose of this research is to come up with a smart healthcare system based on IoMT, Cloud and Fog computing and intelligent data analytic technique. The major objective of the proposed healthcare system is to develop a diagnostic model capable for earlier treatment of heart disease. The suggested scheme consists of distinct phases such as data acquisition, feature extraction, FogBus based edge/fog computing environment, classification, and evaluation. In data acquisition, different IoMT such as wearables and sensors devices are considered to acquire the data related to heart disease and the various features related to signal and data are extracted. Further, the deep forest technique is integrated into the proposed system for classification task and effective diagnosis capabilities of heart issues. The performance of the suggested scheme is evaluated through set of well-defined parameters. Comparison with other healthcare model was conducted for the purpose of performance evaluation. It is concluded that the proposed model has a superiority over other all other models in different aspects namely, the sensitivity measure, accuracy measure, and specificity.","PeriodicalId":8398,"journal":{"name":"ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY","volume":"98 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83465303","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}
V. Sissakian, Lanja H. Abdullah, Balanbo N. Abdulkareem
Visual interpretation of satellite images is a very significant technique to recognize and interpret structural features, which indicate lateral growth of folds, the origin of folds, and dating of folds using the exposure dating method. In this study, Landsat 8 (ESSRI) and Google Earth images are used to recognize structural features at Pira Magroon, Surdash, and Azmar anticlines in the Sulaimaniyah vicinity, Kurdistan Region, north of Iraq. The mentioned anticlines are outstanding geomorphological and structural features in the Sulaimaniyah vicinity. The recognized and interpreted structural features include: en-echelon folding, domes, and Neotectonic indication. All these features are discussed in detail with many images to show the discussed cases, most of the interpreted data and presented figures are never mentioned previously.
{"title":"Geomorphic Indicators of Folds Lateral Growth Using Satellite Images","authors":"V. Sissakian, Lanja H. Abdullah, Balanbo N. Abdulkareem","doi":"10.14500/aro.11010","DOIUrl":"https://doi.org/10.14500/aro.11010","url":null,"abstract":"Visual interpretation of satellite images is a very significant technique to recognize and interpret structural features, which indicate lateral growth of folds, the origin of folds, and dating of folds using the exposure dating method. In this study, Landsat 8 (ESSRI) and Google Earth images are used to recognize structural features at Pira Magroon, Surdash, and Azmar anticlines in the Sulaimaniyah vicinity, Kurdistan Region, north of Iraq. The mentioned anticlines are outstanding geomorphological and structural features in the Sulaimaniyah vicinity. The recognized and interpreted structural features include: en-echelon folding, domes, and Neotectonic indication. All these features are discussed in detail with many images to show the discussed cases, most of the interpreted data and presented figures are never mentioned previously.","PeriodicalId":8398,"journal":{"name":"ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY","volume":"56 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72512655","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}
Oil-well cutting material (OWCM) is a waste generated during the process of oil-well drilling. Its disposal is costly and harmful to the environment. The chemical makeup for the material implies that it might be used as a partial cement replacement in concrete. It is high in calcium oxide, silica, and aluminum oxide, which are the main oxides found in raw materials used to produce cement. Replacing a part of cement by OWCM in concrete mixtures can directly reduce the quantity of the cement used which leads to decreasing the emission of carbon dioxide and solving the disposal problems for the OWCM as well. This process can be considered as a significant step in producing environmentally friendly concrete. This study focuses on investigating the fresh and mechanical properties of different concrete mixes that have different strength grades, containing different percentages of OWCM as a cement replacement. For this purpose, different concrete mixes containing 10%, 15%, 20%, 25%,30%, 35%, and 40% of OWCM as a cement replacement, besides the control Portland cement for the three different concrete strength grades, were prepared. After performing the slump and flow tests, cube specimens were cast and moist-cured for 3, 28, and 90 days and subjected to compression test, whereas 28-day moist-cured cylinder specimens were subjected to splitting tensile test. The test results have revealed that in spite of small reduction in strength with replacing cement by up to 20% of OWCM, the strength of the concrete remains within the designed strength grade ranges.
{"title":"Fresh and Mechanical Properties of Concrete Containing Oil-Well Cutting Material","authors":"Nabaz S. Hussein, R. K. Ibrahim","doi":"10.14500/aro.10962","DOIUrl":"https://doi.org/10.14500/aro.10962","url":null,"abstract":"Oil-well cutting material (OWCM) is a waste generated during the process of oil-well drilling. Its disposal is costly and harmful to the environment. The chemical makeup for the material implies that it might be used as a partial cement replacement in concrete. It is high in calcium oxide, silica, and aluminum oxide, which are the main oxides found in raw materials used to produce cement. Replacing a part of cement by OWCM in concrete mixtures can directly reduce the quantity of the cement used which leads to decreasing the emission of carbon dioxide and solving the disposal problems for the OWCM as well. This process can be considered as a significant step in producing environmentally friendly concrete. This study focuses on investigating the fresh and mechanical properties of different concrete mixes that have different strength grades, containing different percentages of OWCM as a cement replacement. For this purpose, different concrete mixes containing 10%, 15%, 20%, 25%,30%, 35%, and 40% of OWCM as a cement replacement, besides the control Portland cement for the three different concrete strength grades, were prepared. After performing the slump and flow tests, cube specimens were cast and moist-cured for 3, 28, and 90 days and subjected to compression test, whereas 28-day moist-cured cylinder specimens were subjected to splitting tensile test. The test results have revealed that in spite of small reduction in strength with replacing cement by up to 20% of OWCM, the strength of the concrete remains within the designed strength grade ranges.","PeriodicalId":8398,"journal":{"name":"ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY","volume":"191 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72816358","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}
In general, the physical and rheological properties of asphalt binder are directly affecting the resistance of asphalt mix to the permanent deformation (rutting), water damage, and thermal cracking. The degradation in these properties leads to severe distresses that appear in the pavement and, consequently, make the repair and maintenance very expensive. Since the modified-asphalt cement may help to minimize such aforementioned distresses, this research is established for this purpose. It aims to investigate the physical and rheological properties of modified-asphalt cement with silicone, dense silicone rubber, and ethylene propylene diene monomer rubber. Five contents for each type of hot glue are investigated; 0.4, 0.8, 1.2, 1.6, and 2% of the asphalt cement weight. Conventional asphalt cement tests such as penetration, softening point, dynamic viscosity, and ductility tests are conducted to evaluate the hot glue-modified asphalt cement properties. Moreover, the Marshall and indirect tensile strength tests are conducted to examine the effect of hot glue on the performance of the asphalt mixtures at concentrations of 0.8 and 1.6% of the asphalt cement weight. The results show that the hot glue-modified asphalt cement leads to an increase in the hardness and consistency, and a reduction in the temperature susceptibility of asphalt cement. These features lead to better Marshall stability and tensile strength ratio, as compared with the standard asphalt cement mixture.
{"title":"Effect of Hot Glue Additive on the Rheological Properties of Asphalt Cement and Mixtures Performance","authors":"Sheelan A. Ahmed","doi":"10.14500/aro.11055","DOIUrl":"https://doi.org/10.14500/aro.11055","url":null,"abstract":"In general, the physical and rheological properties of asphalt binder are directly affecting the resistance of asphalt mix to the permanent deformation (rutting), water damage, and thermal cracking. The degradation in these properties leads to severe distresses that appear in the pavement and, consequently, make the repair and maintenance very expensive. Since the modified-asphalt cement may help to minimize such aforementioned distresses, this research is established for this purpose. It aims to investigate the physical and rheological properties of modified-asphalt cement with silicone, dense silicone rubber, and ethylene propylene diene monomer rubber. Five contents for each type of hot glue are investigated; 0.4, 0.8, 1.2, 1.6, and 2% of the asphalt cement weight. Conventional asphalt cement tests such as penetration, softening point, dynamic viscosity, and ductility tests are conducted to evaluate the hot glue-modified asphalt cement properties. Moreover, the Marshall and indirect tensile strength tests are conducted to examine the effect of hot glue on the performance of the asphalt mixtures at concentrations of 0.8 and 1.6% of the asphalt cement weight. The results show that the hot glue-modified asphalt cement leads to an increase in the hardness and consistency, and a reduction in the temperature susceptibility of asphalt cement. These features lead to better Marshall stability and tensile strength ratio, as compared with the standard asphalt cement mixture.","PeriodicalId":8398,"journal":{"name":"ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY","volume":"24 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75272736","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}
Nowadays, clean and high-power generation is essential matters worldwide. To be improved and optimized, power plants require accurate models that can be introduced to process simulators. There is various commercial software for industrial simulation which is not accessible to everyone. The open-source DWSIM process simulator is the first chemical engineering code that offers many tools for the better study of industrial plants. In this paper, we employ DWSIM software to simulate a combined cycle gas turbine (CCGT) power plant under design conditions for three cases. The generic models are predicted for multistage compressors and compressor maps. In the first case, two models developed in ASPEN HYSYS and GateCycle will be considered. The achieved results by DWSIM are acceptably comparable for thermal efficiency and power generation. The DWSIM result is 3.5% lower than the ASPEN HYSYS for thermal efficiency, and the power generation is completely the same. In the second case, rigorous simulation was carried out using actual field data from the local CCGT power plant. The DWSIM outcomes are very close to the practical data. The power generation of GT and CC is very close; the variety is nearly 0.45%. In the third case, the simulation of CCGT with a cogeneration system is precisely accomplished, and the outcomes of DWSIM are shown in excellent agreement. The DWSIM prediction shows lower values by 0.26%, 4.79%, and 0.72% for the HP turbine, LP turbine, and plant net power, respectively.
{"title":"Simulating Combined Cycle and Gas Turbine Power Plant under Design Condition using Open-Source Software DWSIM","authors":"Twana N. Hassan, Saif T. Manji","doi":"10.14500/aro.11098","DOIUrl":"https://doi.org/10.14500/aro.11098","url":null,"abstract":"Nowadays, clean and high-power generation is essential matters worldwide. To be improved and optimized, power plants require accurate models that can be introduced to process simulators. There is various commercial software for industrial simulation which is not accessible to everyone. The open-source DWSIM process simulator is the first chemical engineering code that offers many tools for the better study of industrial plants. In this paper, we employ DWSIM software to simulate a combined cycle gas turbine (CCGT) power plant under design conditions for three cases. The generic models are predicted for multistage compressors and compressor maps. In the first case, two models developed in ASPEN HYSYS and GateCycle will be considered. The achieved results by DWSIM are acceptably comparable for thermal efficiency and power generation. The DWSIM result is 3.5% lower than the ASPEN HYSYS for thermal efficiency, and the power generation is completely the same. In the second case, rigorous simulation was carried out using actual field data from the local CCGT power plant. The DWSIM outcomes are very close to the practical data. The power generation of GT and CC is very close; the variety is nearly 0.45%. In the third case, the simulation of CCGT with a cogeneration system is precisely accomplished, and the outcomes of DWSIM are shown in excellent agreement. The DWSIM prediction shows lower values by 0.26%, 4.79%, and 0.72% for the HP turbine, LP turbine, and plant net power, respectively.","PeriodicalId":8398,"journal":{"name":"ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY","volume":"30 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85726855","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}
Tribolium confusum is one of the most common pests of many commodities, especially cereals and their products. These pests are known for being the most destructive insect pests attacking and infesting stored flour and grain in soil, warehouses, grocery stores, and homes. Therefore, this study aims to control these pests with an environmentally friendly, healthier, and cost-effective pesticide instead of the common artificial chemicals to practice the current management of cereal storage pest control in the Kurdistan Region of Iraq. For this to be achieved, the toxicity effect of crude plant extracts from five different parts of Melia azedarach in tap water with concentrations of 50%, 60%, 70%, 80%, and 90% at different times (2, 4, 6, 8, and 10 h) against stored-product insect was tested. The toxicity effect of these extracts varied based on the crude plant part extracts, concentrations, and exposure period according to the SAS system investigation on the mortality rate of T. confusum adults (Duncan test). The extracts’ compatibility with treated adults of T. confusum in the clear petri dish was noted. Besides, the number of dead adults was measured by loss of motion.
{"title":"Effects of Crude Plant Extracts from Five Parts of Melia azedarach on Tribolium confusum","authors":"Muzafar K. Omar, H. A. Muhammad, Sawan M. Mirkhan","doi":"10.14500/aro.11038","DOIUrl":"https://doi.org/10.14500/aro.11038","url":null,"abstract":"Tribolium confusum is one of the most common pests of many commodities, especially cereals and their products. These pests are known for being the most destructive insect pests attacking and infesting stored flour and grain in soil, warehouses, grocery stores, and homes. Therefore, this study aims to control these pests with an environmentally friendly, healthier, and cost-effective pesticide instead of the common artificial chemicals to practice the current management of cereal storage pest control in the Kurdistan Region of Iraq. For this to be achieved, the toxicity effect of crude plant extracts from five different parts of Melia azedarach in tap water with concentrations of 50%, 60%, 70%, 80%, and 90% at different times (2, 4, 6, 8, and 10 h) against stored-product insect was tested. The toxicity effect of these extracts varied based on the crude plant part extracts, concentrations, and exposure period according to the SAS system investigation on the mortality rate of T. confusum adults (Duncan test). The extracts’ compatibility with treated adults of T. confusum in the clear petri dish was noted. Besides, the number of dead adults was measured by loss of motion.","PeriodicalId":8398,"journal":{"name":"ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY","volume":"12 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79547398","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}
Agriculture crops are highly significant for the sustenance of human life and act as an essential source for national income development worldwide. Plant diseases and pests are considered one of the most imperative factors influencing food production, quality, and minimize losses in production. Farmers are currently facing difficulty in identifying various plant diseases and pests, which are important to prevent plant diseases effectively in a complicated environment. The recent development of deep learning techniques has found use in the diagnosis of plant diseases and pests, providing a robust tool with highly accurate results. In this context, this paper presents a comprehensive review of the literature that aims to identify the state of the art of the use of convolutional neural networks (CNNs) in the process of diagnosing and identification of plant pest and diseases. In addition, it presents some issues that are facing the models performance, and also indicates gaps that should be addressed in the future. In this regard, we review studies with various methods that addressed plant disease detection, dataset characteristics, the crops, and pathogens. Moreover, it discusses the commonly employed five-step methodology for plant disease recognition, involving data acquisition, preprocessing, segmentation, feature extraction, and classification. It discusses various deep learning architecture-based solutions that have a faster convergence rate of plant disease recognition. From this review, it is possible to understand the innovative trends regarding the use of CNN’s algorithms in the plant diseases diagnosis and to recognize the gaps that need the attention of the research community.
{"title":"Plant Disease Diagnosing Based on Deep Learning Techniques","authors":"Saman M. Omer, K. Ghafoor, Shavan K. Askar","doi":"10.14500/aro.11080","DOIUrl":"https://doi.org/10.14500/aro.11080","url":null,"abstract":"Agriculture crops are highly significant for the sustenance of human life and act as an essential source for national income development worldwide. Plant diseases and pests are considered one of the most imperative factors influencing food production, quality, and minimize losses in production. Farmers are currently facing difficulty in identifying various plant diseases and pests, which are important to prevent plant diseases effectively in a complicated environment. The recent development of deep learning techniques has found use in the diagnosis of plant diseases and pests, providing a robust tool with highly accurate results. In this context, this paper presents a comprehensive review of the literature that aims to identify the state of the art of the use of convolutional neural networks (CNNs) in the process of diagnosing and identification of plant pest and diseases. In addition, it presents some issues that are facing the models performance, and also indicates gaps that should be addressed in the future. In this regard, we review studies with various methods that addressed plant disease detection, dataset characteristics, the crops, and pathogens. Moreover, it discusses the commonly employed five-step methodology for plant disease recognition, involving data acquisition, preprocessing, segmentation, feature extraction, and classification. It discusses various deep learning architecture-based solutions that have a faster convergence rate of plant disease recognition. From this review, it is possible to understand the innovative trends regarding the use of CNN’s algorithms in the plant diseases diagnosis and to recognize the gaps that need the attention of the research community.","PeriodicalId":8398,"journal":{"name":"ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY","volume":"53 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80951189","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}
Technology has dominated a huge part of human life. Furthermore, technology users use language continuously to express feelings and sentiments about things. The science behind identifying human attitudes toward a particular product, service,or topic is one of the most active fields of research, and it is called sentiment analysis. While the English language is making real progress in sentiment analysis daily, other less-resourced languages, such as Kurdish, still suffer from fundamental issues and challenges in Natural Language Processing (NLP). This paper experimentswith the recently published medical corpus using the classical machine learning method and the latest deep learning tool in NLP and Bidirectional Encoder Representations from Transformers (BERT). We evaluated the findings of both machine learning and deep learning. The outcome indicates that BERT outperforms all the machine learning classifiers by scoring (92%) in accuracy, which is by two points higher than machine learning classifiers.
{"title":"Using Multilingual Bidirectional Encoder Representations from Transformers on Medical Corpus for Kurdish Text Classification","authors":"Soran S. Badawi","doi":"10.14500/aro.11088","DOIUrl":"https://doi.org/10.14500/aro.11088","url":null,"abstract":"Technology has dominated a huge part of human life. Furthermore, technology users use language continuously to express feelings and sentiments about things. The science behind identifying human attitudes toward a particular product, service,or topic is one of the most active fields of research, and it is called sentiment analysis. While the English language is making real progress in sentiment analysis daily, other less-resourced languages, such as Kurdish, still suffer from fundamental issues and challenges in Natural Language Processing (NLP). This paper experimentswith the recently published medical corpus using the classical machine learning method and the latest deep learning tool in NLP and Bidirectional Encoder Representations from Transformers (BERT). We evaluated the findings of both machine learning and deep learning. The outcome indicates that BERT outperforms all the machine learning classifiers by scoring (92%) in accuracy, which is by two points higher than machine learning classifiers.","PeriodicalId":8398,"journal":{"name":"ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY","volume":"17 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86584059","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}
This process of this paper is carried out using thechemical spraying method to produce homogeneous thin films ofpure cadmium sulfide-doped with silver at different percentagesof 1%, 3%, and 5% on glass and polyimide plastic substrates at300°C. The aim is to study the optical and structural properties of the samples and the effect of the silver doping rate on films producedwith these properties. Due to X-ray diffraction studies, all filmscreated had a hexagonal phase, and it was noticed that they had avery precise structure free of holes or cracks. The obtained crystalsize ranged between 22.74 nm and 55.05 nm for different substrates, and the prominent plane was (002). From the optical properties, all films exhibited transmission higher than 60%, thus showing a lowabsorption, which makes them be used as light-permeable layers in the Solar Cell system. In addition, emission peaks were revealed by photo luminescence spectra examination at wavelengths ranging between (542.94 nm) and (546.02 nm), which led to calculate the energy gap (Eg). of the produced films, ranged between (2.27 eV) and (2.28 eV) for the different substrates.
{"title":"Structural and Optical Properties of Cadmium Sulfide-doped Silver Deposited on Glass and Polymer Substrates by Chemical Spray Pyrolysis","authors":"Niaz H. Hamad, M. Faraj, Akram H. Taha","doi":"10.14500/aro.11097","DOIUrl":"https://doi.org/10.14500/aro.11097","url":null,"abstract":"This process of this paper is carried out using thechemical spraying method to produce homogeneous thin films ofpure cadmium sulfide-doped with silver at different percentagesof 1%, 3%, and 5% on glass and polyimide plastic substrates at300°C. The aim is to study the optical and structural properties of the samples and the effect of the silver doping rate on films producedwith these properties. Due to X-ray diffraction studies, all filmscreated had a hexagonal phase, and it was noticed that they had avery precise structure free of holes or cracks. The obtained crystalsize ranged between 22.74 nm and 55.05 nm for different substrates, and the prominent plane was (002). From the optical properties, all films exhibited transmission higher than 60%, thus showing a lowabsorption, which makes them be used as light-permeable layers in the Solar Cell system. In addition, emission peaks were revealed by photo luminescence spectra examination at wavelengths ranging between (542.94 nm) and (546.02 nm), which led to calculate the energy gap (Eg). of the produced films, ranged between (2.27 eV) and (2.28 eV) for the different substrates.","PeriodicalId":8398,"journal":{"name":"ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89003183","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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