Pub Date : 2023-04-29DOI: 10.30572/2018/kje/140202
Samir Sami Abed, Mehdi Sediqhi, A. Diwan
The nano fluid consist of Al2O3 nanoparticles was dissolved by double distilled water (DDW) in three concentrations, 0.5% wt, 1%wt, and 1.5%wt of nanomaterials. The effect of adding nano materials on the viscosity and thermal conductivity was calculated experimentally at room temperature. Some mathematical models were used to calculate the viscosity and the thermal conductivity and compare it with the experimental work. The results showed that viscosity and thermal conductivity increased with increasing concentration of Al2O3 nanoparticles, and there is a great convergence between the theoretical and measured viscosity and thermal conductivity. The SEM images showed that there is homogeneity in the distribution of the nano fluid at 1%wt., and some agglomerations were detected at a concentration 1.5%. The EDS spectrum showed that the percentage of aluminum increased gradually with increasing the Al2O3 concentration. The X-Ray diffraction indicated slight increase in the intensity of diffraction with increasing the Al2O3 concentration.
{"title":"INFLUENCE OF AL2O3 NANO ADDITIVES ON THE VISCOSITY AND THERMAL CONDUCTIVITY OF DOUBLE DISTILLED WATER","authors":"Samir Sami Abed, Mehdi Sediqhi, A. Diwan","doi":"10.30572/2018/kje/140202","DOIUrl":"https://doi.org/10.30572/2018/kje/140202","url":null,"abstract":"The nano fluid consist of Al2O3 nanoparticles was dissolved by double distilled water (DDW) in three concentrations, 0.5% wt, 1%wt, and 1.5%wt of nanomaterials. The effect of adding nano materials on the viscosity and thermal conductivity was calculated experimentally at room temperature. Some mathematical models were used to calculate the viscosity and the thermal conductivity and compare it with the experimental work. The results showed that viscosity and thermal conductivity increased with increasing concentration of Al2O3 nanoparticles, and there is a great convergence between the theoretical and measured viscosity and thermal conductivity. The SEM images showed that there is homogeneity in the distribution of the nano fluid at 1%wt., and some agglomerations were detected at a concentration 1.5%. The EDS spectrum showed that the percentage of aluminum increased gradually with increasing the Al2O3 concentration. The X-Ray diffraction indicated slight increase in the intensity of diffraction with increasing the Al2O3 concentration.","PeriodicalId":123515,"journal":{"name":"Kufa Journal of Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116815146","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 : 2023-02-08DOI: 10.30572/2018/kje/140105
Waleed T. Rashid
Recent years have seen a movement in research from monolithic to composite materials due to the worldwide need for low-cost, high-performance, and high-quality materials. Aluminum matrix composites are used extensively in structural applications and the aerospace and car industries, owing to their high strength-to-weight ratio, cheap cost, and excellent wear resistance. A simple and cost-effective process for producing composites is also critical for broadening their use. Using the inexpensive and commonly used stir-casting process, reinforcements including particle alumina, silicon carbide, graphite, fly ash, etc. may be readily integrated into the melt. In the present paper, the 7075 Aluminum alloy metal matrix composite, with varied Phosphogypsum (PG) contents (2, 5, and 10% wt.%) reinforced particles having 53-106 µm in size, have been created utilizing the stir casting process. The influence of Phosphogypsum particle content on the mechanical characteristics of Metal Matrix Composite has been investigated, and the results manifested that the material reinforcement significantly improved the BHN hardness, tensile strength, and wear. These enhancements were made possible by the regular distribution of Phosphogypsum and the refining of Al-7075 grains. The most significant improvement in BHN hardness (123), tensile strength (160 MPa), and wear (0.2032 gm) were recorded at 10% Phosphogypsum.
{"title":"MECHANICAL PROPERTIES CHARACTERIZATION OF AL- 7075 / PHOSPHOGYPSUM METAL MATRIX COMPOSITES","authors":"Waleed T. Rashid","doi":"10.30572/2018/kje/140105","DOIUrl":"https://doi.org/10.30572/2018/kje/140105","url":null,"abstract":"Recent years have seen a movement in research from monolithic to composite materials due to the worldwide need for low-cost, high-performance, and high-quality materials. Aluminum matrix composites are used extensively in structural applications and the aerospace and car industries, owing to their high strength-to-weight ratio, cheap cost, and excellent wear resistance. A simple and cost-effective process for producing composites is also critical for broadening their use. Using the inexpensive and commonly used stir-casting process, reinforcements including particle alumina, silicon carbide, graphite, fly ash, etc. may be readily integrated into the melt. In the present paper, the 7075 Aluminum alloy metal matrix composite, with varied Phosphogypsum (PG) contents (2, 5, and 10% wt.%) reinforced particles having 53-106 µm in size, have been created utilizing the stir casting process. The influence of Phosphogypsum particle content on the mechanical characteristics of Metal Matrix Composite has been investigated, and the results manifested that the material reinforcement significantly improved the BHN hardness, tensile strength, and wear. These enhancements were made possible by the regular distribution of Phosphogypsum and the refining of Al-7075 grains. The most significant improvement in BHN hardness (123), tensile strength (160 MPa), and wear (0.2032 gm) were recorded at 10% Phosphogypsum.","PeriodicalId":123515,"journal":{"name":"Kufa Journal of Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133094392","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 : 2023-02-08DOI: 10.30572/2018/kje/140104
Sundus A. Shukur, Hayder H. Alkhudery Hayder H. Alkhudery
The Steel-fiber reinforced polymer (FRP) composite bar (SFCB) is a recently proposed bar, it has a steel inner and an exterior layer of FRP, and an adhesive resin to bond the two materials. The SFCB bar used in this paper was made by using a handmade technique; this technique includes a manufacturing procedure that was described in this paper. SFCBs were tested using the standard uniaxial tensile test (ASTM A370) to figure out their mechanical properties and stress-strain relationship and compare them with the normal steel bars. Moreover, the bonding test was conducted to comprehend the bonding performance of SFCB in the concrete and to compare it with the normal steel performance, the bonding test was conducted according to ACI 440.3R-12. The experimental results illustrated that the values of yielding and ultimate tensile strengths of SFCB were slightly less than that of the conventional steel with percentages of 4% for both, the modulus of elasticity values which were found theoretically in good agreement with the test results values, the behavior of SFCB stress-strain curve was slightly different than the conventional steel behavior, with a stable post-yield modulus. Also, the results showed that the SFCB/Steel (SFCB/Steel) ratio between the bond strength of SFCB and the bond strength of steel bar was approximately 0.86, which means that the SFCB had lesser bond strengths than the normal steel with a percentage of 14%, the results also showed that the SFCB had less slip than the steel bar with a percentage of 10%.
{"title":"EXPERIMENTAL ASSESSMENT OF THE MECHANICAL PROPERTIES OF STEEL-FIBER COMPOSITE BAR (SFCB) REINFORCEMENT","authors":"Sundus A. Shukur, Hayder H. Alkhudery Hayder H. Alkhudery","doi":"10.30572/2018/kje/140104","DOIUrl":"https://doi.org/10.30572/2018/kje/140104","url":null,"abstract":"The Steel-fiber reinforced polymer (FRP) composite bar (SFCB) is a recently proposed bar, it has a steel inner and an exterior layer of FRP, and an adhesive resin to bond the two materials. The SFCB bar used in this paper was made by using a handmade technique; this technique includes a manufacturing procedure that was described in this paper. SFCBs were tested using the standard uniaxial tensile test (ASTM A370) to figure out their mechanical properties and stress-strain relationship and compare them with the normal steel bars. Moreover, the bonding test was conducted to comprehend the bonding performance of SFCB in the concrete and to compare it with the normal steel performance, the bonding test was conducted according to ACI 440.3R-12. The experimental results illustrated that the values of yielding and ultimate tensile strengths of SFCB were slightly less than that of the conventional steel with percentages of 4% for both, the modulus of elasticity values which were found theoretically in good agreement with the test results values, the behavior of SFCB stress-strain curve was slightly different than the conventional steel behavior, with a stable post-yield modulus. Also, the results showed that the SFCB/Steel (SFCB/Steel) ratio between the bond strength of SFCB and the bond strength of steel bar was approximately 0.86, which means that the SFCB had lesser bond strengths than the normal steel with a percentage of 14%, the results also showed that the SFCB had less slip than the steel bar with a percentage of 10%.","PeriodicalId":123515,"journal":{"name":"Kufa Journal of Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122280444","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 : 2023-02-08DOI: 10.30572/2018/kje/140102
A. A. Adekoya, S. Oke, W. Adedeji
Despite the industrial popularity of nylon 6 composites, their wear performance portrays a substantial knowledge gap on parametric importance. Consequently, this study optimizes and prioritizes the wear performance parameters of nylon 6/boron nitride composites using the Taguchi-Pareto and Taguchi-ABC methods based on 80-20 Pareto rule and the ABC analysis, using signal-to-noise ratios. From the literature information, the principal parameters considered are the %wt of reinforcement, normal load, sliding speed, and sliding distance, respectively. The results showed that the optimal parametric setting using the Taguchi-Pareto method is 4wt % of boron nitride Nanocomposite, 15 N of normal load, 100 rpm of sliding speed and 500m of sliding distance. The limitation of this study is the difficulty in deducing the most significant delta values or ranks through the parameters. This work drive towards more practically focused wear performance studies by industrial practitioners, showing critical optimization and prioritization procedures in a single study.
{"title":"WEAR PERFORMANCE ANALYSIS OF NYLON-6/BORON NITRIDE POLYMER COMPOSITES USING TAGUCHI-PARETO AND TAGUCHI-ABC METHODS","authors":"A. A. Adekoya, S. Oke, W. Adedeji","doi":"10.30572/2018/kje/140102","DOIUrl":"https://doi.org/10.30572/2018/kje/140102","url":null,"abstract":"Despite the industrial popularity of nylon 6 composites, their wear performance portrays a substantial knowledge gap on parametric importance. Consequently, this study optimizes and prioritizes the wear performance parameters of nylon 6/boron nitride composites using the Taguchi-Pareto and Taguchi-ABC methods based on 80-20 Pareto rule and the ABC analysis, using signal-to-noise ratios. From the literature information, the principal parameters considered are the %wt of reinforcement, normal load, sliding speed, and sliding distance, respectively. The results showed that the optimal parametric setting using the Taguchi-Pareto method is 4wt % of boron nitride Nanocomposite, 15 N of normal load, 100 rpm of sliding speed and 500m of sliding distance. The limitation of this study is the difficulty in deducing the most significant delta values or ranks through the parameters. This work drive towards more practically focused wear performance studies by industrial practitioners, showing critical optimization and prioritization procedures in a single study.","PeriodicalId":123515,"journal":{"name":"Kufa Journal of Engineering","volume":"55 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132869490","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 : 2023-02-08DOI: 10.30572/2018/kje/140101
Abdullah Muwafaq Alyousuf, Fatih Korkmaz
In the last decades, wind turbines have been extensively studied due to the increasing demand for renewable energy sources. Based on a very strong background of operational experience with wind turbine generators of varying sizes and the development of high-performance power electronics, these most recent wind turbine generators offer the requisite and enhanced performance for their safe integration into the power systems. In the past, wind turbine generators were simply connected to distribution networks; however, current projects and wind turbine generators sizes require a direct connection to the transmission system level through a project-specific substation. Due to these developments, an integrated strategy is needed to maximize the allocation of control responsibilities between substation control and wind turbine control. Dual-Fed Induction Generator (DFIG) systems can be used in many ways to make complex solutions. In this paper, the design and control of DFIG systems are presented to improve WT operating performance in different cases. Given the strong association between converter control strategies and working conditions, it is important to better understand to demonstrates the importance of developing an appropriate modelling approach. The key findings are discussed, and recommendations are provided for future research in this paper.
{"title":"PERFORMANCE INVESTIGATION OF WIND TURBINES BASED ON DOUBLY FED INDUCTION GENERATORS WITH BACK-TO-BACK CONVERTER","authors":"Abdullah Muwafaq Alyousuf, Fatih Korkmaz","doi":"10.30572/2018/kje/140101","DOIUrl":"https://doi.org/10.30572/2018/kje/140101","url":null,"abstract":"In the last decades, wind turbines have been extensively studied due to the increasing demand for renewable energy sources. Based on a very strong background of operational experience with wind turbine generators of varying sizes and the development of high-performance power electronics, these most recent wind turbine generators offer the requisite and enhanced performance for their safe integration into the power systems. In the past, wind turbine generators were simply connected to distribution networks; however, current projects and wind turbine generators sizes require a direct connection to the transmission system level through a project-specific substation. Due to these developments, an integrated strategy is needed to maximize the allocation of control responsibilities between substation control and wind turbine control. Dual-Fed Induction Generator (DFIG) systems can be used in many ways to make complex solutions. In this paper, the design and control of DFIG systems are presented to improve WT operating performance in different cases. Given the strong association between converter control strategies and working conditions, it is important to better understand to demonstrates the importance of developing an appropriate modelling approach. The key findings are discussed, and recommendations are provided for future research in this paper.","PeriodicalId":123515,"journal":{"name":"Kufa Journal of Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122328412","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 : 2023-02-08DOI: 10.30572/2018/kje/140103
A. Ali, Saad S. Hreshee
Generalized frequency division multiplexing (GFDM) is one of the candidate waveforms beyond 5G for wireless communication. Channel estimation is challenging in wireless transmission because of inherent interference. It is based on a pilot signal that uses Least Square (LS) and Normalized Least Mean Square (NLMS) to perform the estimation. This paper used the Artificial Neural Network (ANN) as a channel estimation method, considered a novel estimation process for the GFDM transceiver. The channel estimation based on ANN depends on the data set generated from LS estimation, which considers the proposed method is optimized to LS based on the backpropagation neural network. The ANN algorithm considered a fitness function to estimate the channel. Levenberg-Marquardt backpropagation (LM), Bayesian Regularization backpropagation (BR), and Scaled Conjugate Gradient backpropagation (SCG) training methods training by using the Matlab toolbox used to perform the estimation. BR training method gives the best performance than LS and other training methods at 22 neurons in hidden layers, which at 20dB give BER = 0.0369 that enhanced over LS by 0.08.
{"title":"GFDM TRANSCEIVER BASED ON ANN CHANNEL ESTIMATION","authors":"A. Ali, Saad S. Hreshee","doi":"10.30572/2018/kje/140103","DOIUrl":"https://doi.org/10.30572/2018/kje/140103","url":null,"abstract":"Generalized frequency division multiplexing (GFDM) is one of the candidate waveforms beyond 5G for wireless communication. Channel estimation is challenging in wireless transmission because of inherent interference. It is based on a pilot signal that uses Least Square (LS) and Normalized Least Mean Square (NLMS) to perform the estimation. This paper used the Artificial Neural Network (ANN) as a channel estimation method, considered a novel estimation process for the GFDM transceiver. The channel estimation based on ANN depends on the data set generated from LS estimation, which considers the proposed method is optimized to LS based on the backpropagation neural network. The ANN algorithm considered a fitness function to estimate the channel. Levenberg-Marquardt backpropagation (LM), Bayesian Regularization backpropagation (BR), and Scaled Conjugate Gradient backpropagation (SCG) training methods training by using the Matlab toolbox used to perform the estimation. BR training method gives the best performance than LS and other training methods at 22 neurons in hidden layers, which at 20dB give BER = 0.0369 that enhanced over LS by 0.08.","PeriodicalId":123515,"journal":{"name":"Kufa Journal of Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130761728","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 : 2022-10-14DOI: 10.30572/2018/kje/130406
Daniel Durrans, Denise L. Lee, M. Sadique
The construction industry within the UK is at the forefront of new and alternative materials, which aid in efficient, sustainable and environmental-friendly construction projects. The concept of filling a single use plastic bottle with plastic waste and encasing it within a concrete surround, producing a composite block meets all three objectives. Due to the lack of ecobrick research within the UK, it became the catalyst for researching the concrete encased ecobrick block. At 7 day compressive testing the composite blocks were all weaker than the control samples and at 28 days the results were mixed. In comparison to a global study (Oman) the composite blocks were all greater in compressive strength. In conclusion, the composite blocks were found to be adequate for non-load bearing structural elements within the UK’s construction industry.
{"title":"APPLICATION OF CONCRETE ENCASED ECOBRICK BLOCKS IN THE UK’S CONSTRUCTION INDUSTRY","authors":"Daniel Durrans, Denise L. Lee, M. Sadique","doi":"10.30572/2018/kje/130406","DOIUrl":"https://doi.org/10.30572/2018/kje/130406","url":null,"abstract":"The construction industry within the UK is at the forefront of new and alternative materials, which aid in efficient, sustainable and environmental-friendly construction projects. The concept of filling a single use plastic bottle with plastic waste and encasing it within a concrete surround, producing a composite block meets all three objectives. Due to the lack of ecobrick research within the UK, it became the catalyst for researching the concrete encased ecobrick block. At 7 day compressive testing the composite blocks were all weaker than the control samples and at 28 days the results were mixed. In comparison to a global study (Oman) the composite blocks were all greater in compressive strength. In conclusion, the composite blocks were found to be adequate for non-load bearing structural elements within the UK’s construction industry.","PeriodicalId":123515,"journal":{"name":"Kufa Journal of Engineering","volume":"60 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113943227","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 : 2022-10-14DOI: 10.30572/2018/kje/130405
Hersh A. Mohammed, S. Kareem, A. Mohammed
White Blood Cells are important in determining a person's overall health. The blood disease diagnosis includes characterization and identification of blood samples of a patient. Neural Networks (NN), Convolutional Neural Networks (CNN), and a mix of CNN and NN models are used in recent techniques to improve visual content understanding. From start to finish, The authors were driven to uncover remarkable characteristics in example photographs because of their expertise in medical image analysis. For blood cell classification, the overall performance of individual cell patches extracted using blood smear techniques has been excellent. These approaches, on the other hand, are incapable of dealing with the issue of multiple cells overlapping. Because of the blood cell overlapping pictures, the input image dimension is compressed, the classification time is reduced, as well as the network works better with more accurate parameter estimates. In this review, we are evaluating a detailed scientific comparison of some of the ways used to improve WBC classification. The authors will show some of the ways used to automatically classify their cells. The results of some of the tests used using available data, compared to blood cell classification techniques.
{"title":"A COMPARATIVE EVALUATION OF DEEP LEARNING METHODS IN DIGITAL IMAGE CLASSIFICATION","authors":"Hersh A. Mohammed, S. Kareem, A. Mohammed","doi":"10.30572/2018/kje/130405","DOIUrl":"https://doi.org/10.30572/2018/kje/130405","url":null,"abstract":"White Blood Cells are important in determining a person's overall health. The blood disease diagnosis includes characterization and identification of blood samples of a patient. Neural Networks (NN), Convolutional Neural Networks (CNN), and a mix of CNN and NN models are used in recent techniques to improve visual content understanding. From start to finish, The authors were driven to uncover remarkable characteristics in example photographs because of their expertise in medical image analysis. For blood cell classification, the overall performance of individual cell patches extracted using blood smear techniques has been excellent. These approaches, on the other hand, are incapable of dealing with the issue of multiple cells overlapping. Because of the blood cell overlapping pictures, the input image dimension is compressed, the classification time is reduced, as well as the network works better with more accurate parameter estimates. In this review, we are evaluating a detailed scientific comparison of some of the ways used to improve WBC classification. The authors will show some of the ways used to automatically classify their cells. The results of some of the tests used using available data, compared to blood cell classification techniques.","PeriodicalId":123515,"journal":{"name":"Kufa Journal of Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131154607","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 : 2022-07-31DOI: 10.30572/2018/kje/130302
Ammar O. Hasan
There are many applications should be work online, these applications can be seen in the application layer of OSI reference model, each one of these consumes particular band width, bit rate and network speed depending of the resources that used to make any application operate for example there is a widely difference between video streaming network application and text chatting application. In this paper when any computer network needs to be examined, at least two different applications should be taken for example to monitor network performance when these application going to work and get in action. In this paper the researcher designed and a local area network to implement dedicated applications, monitor the network factors performance, get results, and compare between applications.
{"title":"Application Based performance monitoring heavy data transmission of Local Area Network","authors":"Ammar O. Hasan","doi":"10.30572/2018/kje/130302","DOIUrl":"https://doi.org/10.30572/2018/kje/130302","url":null,"abstract":"There are many applications should be work online, these applications can be seen in the application layer of OSI reference model, each one of these consumes particular band width, bit rate and network speed depending of the resources that used to make any application operate for example there is a widely difference between video streaming network application and text chatting application. In this paper when any computer network needs to be examined, at least two different applications should be taken for example to monitor network performance when these application going to work and get in action. In this paper the researcher designed and a local area network to implement dedicated applications, monitor the network factors performance, get results, and compare between applications.","PeriodicalId":123515,"journal":{"name":"Kufa Journal of Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116791232","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 : 2022-07-31DOI: 10.30572/2018/kje/130303
A. Al-Jabari, Fatih Korkmaz, M. Teke
In this study, a simulation designs using a MATLAB is presenting to identify the characteristic of a solar energy panel as main feeding part, also, an alternative source represented by battery to compenstae the required missing energy on the load in case of low energy produced by a PV panel due to the effect of atmosphere condition on the solar energy in case of low radiation and temperature degree fall on it where a PV system as a whole works on feeding both of load and battery, but it may depend on the stored energy into the battery based on its capacity. In this purpose, different maximum power point techniques used in the PV system to extract the maximum energy. Perturb and Observe P& O, Incremental Conductance IC and Fuzzy Logic are the main common and modern techniques for tracking the maximum power
{"title":"A SIMULATION OF SOLAR ENERGY SYSTEM CONTROLLED BY P&O, IC AND FUZZY LOGIC USING BIDIRECTIONAL CHARGING OF BATTERY","authors":"A. Al-Jabari, Fatih Korkmaz, M. Teke","doi":"10.30572/2018/kje/130303","DOIUrl":"https://doi.org/10.30572/2018/kje/130303","url":null,"abstract":"In this study, a simulation designs using a MATLAB is presenting to identify the characteristic of a solar energy panel as main feeding part, also, an alternative source represented by battery to compenstae the required missing energy on the load in case of low energy produced by a PV panel due to the effect of atmosphere condition on the solar energy in case of low radiation and temperature degree fall on it where a PV system as a whole works on feeding both of load and battery, but it may depend on the stored energy into the battery based on its capacity. In this purpose, different maximum power point techniques used in the PV system to extract the maximum energy. Perturb and Observe P& O, Incremental Conductance IC and Fuzzy Logic are the main common and modern techniques for tracking the maximum power","PeriodicalId":123515,"journal":{"name":"Kufa Journal of Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128684159","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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