Pub Date : 2023-02-14DOI: 10.22581/muet1982.2204.19
Muhammad Ahsan Tahir, Saadia Tabassum, A. Rahim
With the passage of time, due to vehicle movement and environmental conditions, the road pavement deteriorates. The accident rate increases if there is no proper maintenance of road deterioration. This study evaluates the safety performance due to the change in pavement performance indicators on the selected roads of Bahawalpur, Punjab Pakistan. Three roads different pavement conditions were selected, based upon their physical inspection, of 5 Km length (each road). The pavement performance indicators used in this study were International Roughness Index (IRI), rutting and cracking. The accident data of last five years (Jan 2015 to April 2019) was used in this study. The pavement performance indicators were measured on site and accident data was taken from emergency service (Rescue 1122). The relationships between pavement performance indicators and accident data were examined. No linear relationship is found between pavement performance indicators and traffic safety, however a parabolic relation is best fitted between these variables. The parabolic models are developed by keeping the pavement performance indicators on independent axis and accident data on dependent axis which can be use by road designers for assessing the value of IRI, rutting and cracking for safe traffic flow. Some values are also suggested which can be used as evaluation criteria that whether the road needs rehabilitation work or not. The suggested values/range for IRI is 1.75-2 m/Km, for rutting 9 – 10 mm and for cracking-Pavement Condition Rating (PCR) 75-80.
{"title":"Impacts of pavement performance indicators on traffic oriented parameters and road safety","authors":"Muhammad Ahsan Tahir, Saadia Tabassum, A. Rahim","doi":"10.22581/muet1982.2204.19","DOIUrl":"https://doi.org/10.22581/muet1982.2204.19","url":null,"abstract":"With the passage of time, due to vehicle movement and environmental conditions, the road pavement deteriorates. The accident rate increases if there is no proper maintenance of road deterioration. This study evaluates the safety performance due to the change in pavement performance indicators on the selected roads of Bahawalpur, Punjab Pakistan. Three roads different pavement conditions were selected, based upon their physical inspection, of 5 Km length (each road). The pavement performance indicators used in this study were International Roughness Index (IRI), rutting and cracking. The accident data of last five years (Jan 2015 to April 2019) was used in this study. The pavement performance indicators were measured on site and accident data was taken from emergency service (Rescue 1122). The relationships between pavement performance indicators and accident data were examined. No linear relationship is found between pavement performance indicators and traffic safety, however a parabolic relation is best fitted between these variables. The parabolic models are developed by keeping the pavement performance indicators on independent axis and accident data on dependent axis which can be use by road designers for assessing the value of IRI, rutting and cracking for safe traffic flow. Some values are also suggested which can be used as evaluation criteria that whether the road needs rehabilitation work or not. The suggested values/range for IRI is 1.75-2 m/Km, for rutting 9 – 10 mm and for cracking-Pavement Condition Rating (PCR) 75-80.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46981880","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 : 2023-01-01DOI: 10.22581/muet1982.2301.08
A. H. Malik, Feroza Arshad, A. Memon, Raheela Laghari
In this research work, an advanced most modern ACP1000 Nuclear Power Plant is addressed. An enhanced fractional order model of ACP1000 nuclear power plant is adopted with an addition of protection and safety systems. The whole plant model is developed by using innovative hybrid technology of Visual Basic, LabVIEW, Fractional Order and Field Programmable Gate Array (FPGA). A reactor trip system is designed and modeled using FPGA technology in LabVIEW. Plant parameters are systematically modeled and panels are designed in LabVIEW for reactor protection controllers. Twenty one reactor trip controllers are designed and modeled based on complex digital logics using FPGA programming in LabVIEW. Two fractional order trip controllers are designed for over temperature protection and over power protection in LabVIEW. FPGA based safety controllers are designed for Engineered Safety Features (ESF) in LabVIEW. For enhanced model of ACP1000 nuclear power plant, 374 systems are modeled in modular form in Visual Basic Environment. Nine process controllers are configured in ANFIS framework in LabVIEW. In this research work, process controllers are used in conjunction with protection and safety controllers using FPGA. The parametric display of simulations is carried out in Visual Basic. The closed loop performance of proposed protection controllers is evaluated under reactor trip and turbine trip while that of safety controllers are evaluated under inadvertent opening of safety valves of pressurizer. Various parameters are simulated for severe transient conditions and the results are evaluated and validated against reference design data and Final Safety Analysis Report (FSAR) of ACP1000 nuclear power plant. All the results are well within the trip and safety systems design bounds under abnormal and severe operating conditions.
{"title":"Design of novel fractional order FPGA based reactor protection and safety controllers for ACP1000 nuclear power plant in LabVIEW","authors":"A. H. Malik, Feroza Arshad, A. Memon, Raheela Laghari","doi":"10.22581/muet1982.2301.08","DOIUrl":"https://doi.org/10.22581/muet1982.2301.08","url":null,"abstract":"In this research work, an advanced most modern ACP1000 Nuclear Power Plant is addressed. An enhanced fractional order model of ACP1000 nuclear power plant is adopted with an addition of protection and safety systems. The whole plant model is developed by using innovative hybrid technology of Visual Basic, LabVIEW, Fractional Order and Field Programmable Gate Array (FPGA). A reactor trip system is designed and modeled using FPGA technology in LabVIEW. Plant parameters are systematically modeled and panels are designed in LabVIEW for reactor protection controllers. Twenty one reactor trip controllers are designed and modeled based on complex digital logics using FPGA programming in LabVIEW. Two fractional order trip controllers are designed for over temperature protection and over power protection in LabVIEW. FPGA based safety controllers are designed for Engineered Safety Features (ESF) in LabVIEW. For enhanced model of ACP1000 nuclear power plant, 374 systems are modeled in modular form in Visual Basic Environment. Nine process controllers are configured in ANFIS framework in LabVIEW. In this research work, process controllers are used in conjunction with protection and safety controllers using FPGA. The parametric display of simulations is carried out in Visual Basic. The closed loop performance of proposed protection controllers is evaluated under reactor trip and turbine trip while that of safety controllers are evaluated under inadvertent opening of safety valves of pressurizer. Various parameters are simulated for severe transient conditions and the results are evaluated and validated against reference design data and Final Safety Analysis Report (FSAR) of ACP1000 nuclear power plant. All the results are well within the trip and safety systems design bounds under abnormal and severe operating conditions.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42667838","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 : 2023-01-01DOI: 10.22581/muet1982.2301.18
H. Q. Ali, Osman Üçüncü
This research work proposes a mathematical optimization model for constructing two ponds (1. Facultative pond and 2. Maturation pond) provided in series. The model uses concrete volume as its objective minimization function. There were two decision variables; the first was the detention time (DT) and the second in the list was the number of provided baffle walls (NBW) in both ponds. The constraint parameters include fecal coliforms and biochemical oxygen demand (BOD5). The model was applied with the help of an Add-Ins of MS Office: Excel solver. The generalized reduced gradient algorithm was utilized in the solver (GRG). Before applying the mathematical optimization model, ponds were designed with the conventional method and then using optimized values of the variables. A comparison of the findings reveals that a 13.79 percent reduction in the DT, an 11.55 percent reduction in the area, and a 7.19 percent reduction in the volume of concrete occurred. The reduction values mentioned above are significant since these systems' fundamental drawback is the area's requirement. In addition, sensitivity analyses of the objective function and the removal of pollutants are also provided. The model described above is sensitive to variations in the parameters. Both analyses demonstrated that the effluent characteristics comply with the class-B irrigation standards in Turkey. It is advised to do more optimization studies for WSPs with the help of other algorithms and tools available in the literature for distinct wastewater treatment plants.
{"title":"Mathematical modeling and optimization of wastewater stabilization ponds using nonlinear programming","authors":"H. Q. Ali, Osman Üçüncü","doi":"10.22581/muet1982.2301.18","DOIUrl":"https://doi.org/10.22581/muet1982.2301.18","url":null,"abstract":"This research work proposes a mathematical optimization model for constructing two ponds (1. Facultative pond and 2. Maturation pond) provided in series. The model uses concrete volume as its objective minimization function. There were two decision variables; the first was the detention time (DT) and the second in the list was the number of provided baffle walls (NBW) in both ponds. The constraint parameters include fecal coliforms and biochemical oxygen demand (BOD5). The model was applied with the help of an Add-Ins of MS Office: Excel solver. The generalized reduced gradient algorithm was utilized in the solver (GRG). Before applying the mathematical optimization model, ponds were designed with the conventional method and then using optimized values of the variables. A comparison of the findings reveals that a 13.79 percent reduction in the DT, an 11.55 percent reduction in the area, and a 7.19 percent reduction in the volume of concrete occurred. The reduction values mentioned above are significant since these systems' fundamental drawback is the area's requirement. In addition, sensitivity analyses of the objective function and the removal of pollutants are also provided. The model described above is sensitive to variations in the parameters. Both analyses demonstrated that the effluent characteristics comply with the class-B irrigation standards in Turkey. It is advised to do more optimization studies for WSPs with the help of other algorithms and tools available in the literature for distinct wastewater treatment plants.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45618633","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 : 2023-01-01DOI: 10.22581/muet1982.2301.07
Summyia Qamar, M. H. Aziz
Cloud manufacturing (CMfg) platform offers an open marketplace, where a Resource Service Provider (RSP) can benefit from Price Discrimination (PD) in return for specific services. However, the literature focused mainly on operator-based pricing and overlooked RSP pricing control. Therefore, this study formulates a profit function in which revenue is enhanced by adjusting prices according to customer types, while cost accounting is done by resource allocation based Material Flow Cost Accounting (MFCA) because MFCA provides a comprehensive guideline towards waste minimization. The proposed model is formulated into MINLP problem with multiple factors such as; part types, batch size, part routes, machine types, energy consumption, worker types and material handling cost as well as price sensitive customer behaviour and demand. Further, ANOVA is applied for factors analysis. The results suggests that customer types and demand are positively correlated, while parts, machines, and worker types are negatively correlated with profit. The model is also compared with reference price effect and fixed pricing strategy. Results validate that to benefit from diverse customer behaviour in CMfg, PD along with optimal resource allocation provides an effective solution for profit maximization. Model is also compared with reference price effect and fixed pricing strategy to validate its effectiveness.
{"title":"Differential pricing integrated with multi-product, multi-machine, multi-worker cost function for resource service providers in cloud manufacturing","authors":"Summyia Qamar, M. H. Aziz","doi":"10.22581/muet1982.2301.07","DOIUrl":"https://doi.org/10.22581/muet1982.2301.07","url":null,"abstract":"Cloud manufacturing (CMfg) platform offers an open marketplace, where a Resource Service Provider (RSP) can benefit from Price Discrimination (PD) in return for specific services. However, the literature focused mainly on operator-based pricing and overlooked RSP pricing control. Therefore, this study formulates a profit function in which revenue is enhanced by adjusting prices according to customer types, while cost accounting is done by resource allocation based Material Flow Cost Accounting (MFCA) because MFCA provides a comprehensive guideline towards waste minimization. The proposed model is formulated into MINLP problem with multiple factors such as; part types, batch size, part routes, machine types, energy consumption, worker types and material handling cost as well as price sensitive customer behaviour and demand. Further, ANOVA is applied for factors analysis. The results suggests that customer types and demand are positively correlated, while parts, machines, and worker types are negatively correlated with profit. The model is also compared with reference price effect and fixed pricing strategy. Results validate that to benefit from diverse customer behaviour in CMfg, PD along with optimal resource allocation provides an effective solution for profit maximization. Model is also compared with reference price effect and fixed pricing strategy to validate its effectiveness.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43726760","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 : 2023-01-01DOI: 10.22581/muet1982.2301.03
S. A. I. Tirmizi, F. Arif
The continuing demand for energy has led to the need for developing and improving the oil and gas infrastructure through the execution of various infrastructure capital projects in many parts of the world, including Pakistan. Oil and gas companies have vast experience implementing these infrastructure projects, yet many such projects face delays and cost overruns. This failure to meet project targets may be attributable to the lack of identifying and addressing the risks at the pre-execution stage in the contract documents. This study aims to identify the risks to address in the contract documentation developed for the infrastructure projects and allocate each factor to a particular stakeholder (Client, design consultant, legal consultant, and bidders) in Pakistan. Risks were identified through literature review and were validated using the Delphi technique applied through surveys. Twenty-four survey respondents were selected based on their qualifications and experience in Pakistan’s Oil and Gas sector. In the first round of the Delphi survey, the level of agreement authenticates the risks applicable to Pakistan's Oil and Gas sector. The level of agreement was reaffirmed in round two of the Delphi survey. It also included a check for stability of responses between rounds using the McNemar test. Results confirmed that sixty-one risk factors are the contractual risk for evaluation when developing contracts for Oil and Gas infrastructure projects in Pakistan.
{"title":"Identification and stakeholder responsibility mapping of contractual risk factors in oil and gas sector infrastructure projects using Delphi technique","authors":"S. A. I. Tirmizi, F. Arif","doi":"10.22581/muet1982.2301.03","DOIUrl":"https://doi.org/10.22581/muet1982.2301.03","url":null,"abstract":"The continuing demand for energy has led to the need for developing and improving the oil and gas infrastructure through the execution of various infrastructure capital projects in many parts of the world, including Pakistan. Oil and gas companies have vast experience implementing these infrastructure projects, yet many such projects face delays and cost overruns. This failure to meet project targets may be attributable to the lack of identifying and addressing the risks at the pre-execution stage in the contract documents. This study aims to identify the risks to address in the contract documentation developed for the infrastructure projects and allocate each factor to a particular stakeholder (Client, design consultant, legal consultant, and bidders) in Pakistan. Risks were identified through literature review and were validated using the Delphi technique applied through surveys. Twenty-four survey respondents were selected based on their qualifications and experience in Pakistan’s Oil and Gas sector. In the first round of the Delphi survey, the level of agreement authenticates the risks applicable to Pakistan's Oil and Gas sector. The level of agreement was reaffirmed in round two of the Delphi survey. It also included a check for stability of responses between rounds using the McNemar test. Results confirmed that sixty-one risk factors are the contractual risk for evaluation when developing contracts for Oil and Gas infrastructure projects in Pakistan.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44414729","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 : 2023-01-01DOI: 10.22581/muet1982.2301.09
M. Abid, M. F. Mushtaq, Urooj Akram, Mateen Ahmed Abbasi, F. Rustam
Twitter has become the foremost standard of social media in today’s world. Over 335 million users are online monthly, and near about 80% are accessing it through their mobiles. Further, Twitter is now supporting 35+ which enhance its usage too much. It facilitates people having different languages. Near about 21% of the total users are from US and 79% of total users are outside of US. A tweet is restricted to a hundred and forty characters; hence it contains such information which is more concise and much valuable. Due to its usage, it is estimated that five hundred million tweets are sent per day by different categories of people including teacher, students, celebrities, officers, musician, etc. So, there is a huge amount of data that is increasing on a daily basis that need to be categorized. The important key feature is to find the keywords in the huge data that is helpful for identifying a twitter for classification. For this purpose, Term Frequency-Inverse Document Frequency (TF-IDF) and Loglikelihood methods are chosen for keywords extracted from the music field and perform a comparative analysis on both results. In the end, relevance is performed from 5 users so that finally we can take a decision to make assumption on the basis of experiments that which method is best. This analysis is much valuable because it gives a more accurate estimation which method’s results are more reliable.
{"title":"Comparative analysis of TF-IDF and loglikelihood method for keywords extraction of twitter data","authors":"M. Abid, M. F. Mushtaq, Urooj Akram, Mateen Ahmed Abbasi, F. Rustam","doi":"10.22581/muet1982.2301.09","DOIUrl":"https://doi.org/10.22581/muet1982.2301.09","url":null,"abstract":"Twitter has become the foremost standard of social media in today’s world. Over 335 million users are online monthly, and near about 80% are accessing it through their mobiles. Further, Twitter is now supporting 35+ which enhance its usage too much. It facilitates people having different languages. Near about 21% of the total users are from US and 79% of total users are outside of US. A tweet is restricted to a hundred and forty characters; hence it contains such information which is more concise and much valuable. Due to its usage, it is estimated that five hundred million tweets are sent per day by different categories of people including teacher, students, celebrities, officers, musician, etc. So, there is a huge amount of data that is increasing on a daily basis that need to be categorized. The important key feature is to find the keywords in the huge data that is helpful for identifying a twitter for classification. For this purpose, Term Frequency-Inverse Document Frequency (TF-IDF) and Loglikelihood methods are chosen for keywords extracted from the music field and perform a comparative analysis on both results. In the end, relevance is performed from 5 users so that finally we can take a decision to make assumption on the basis of experiments that which method is best. This analysis is much valuable because it gives a more accurate estimation which method’s results are more reliable.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44730302","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 : 2023-01-01DOI: 10.22581/muet1982.2301.01
Qandeel Khan, Uzma Imran, J. Ullman, Waheed Ali Khokhar
Various natural products used for water treatment are becoming more popular due to their general safety, eco-friendly sludge production, ease of degradation, cost-effectiveness, and local availability. This research assessed the efficiency of powdered neem (Azadirachta indica) seeds in removing turbidity from the water. Batch experiments determined the optimum coagulant dose, pH level, mixing time, and mixing speed to reduce turbidity from kaolin-based synthetic turbid water. Powdered neem seeds with a pore size of about 0.45 mm were prepared and used in water treatment under optimum conditions. Results showed that a coagulant dose of 3 g of neem seeds/L, 13.2 pH level, 60 mins mixing time at 80 rpm mixing speed could reduce turbidity levels to 35 NTU from 250 NTU (86% removal). Findings suggest that powdered neem seeds can be a potential substitute for conventional chemical coagulants for drinking water treatment.
{"title":"Turbidity removal through the application of powdered azadirachta indica (neem) seeds","authors":"Qandeel Khan, Uzma Imran, J. Ullman, Waheed Ali Khokhar","doi":"10.22581/muet1982.2301.01","DOIUrl":"https://doi.org/10.22581/muet1982.2301.01","url":null,"abstract":"Various natural products used for water treatment are becoming more popular due to their general safety, eco-friendly sludge production, ease of degradation, cost-effectiveness, and local availability. This research assessed the efficiency of powdered neem (Azadirachta indica) seeds in removing turbidity from the water. Batch experiments determined the optimum coagulant dose, pH level, mixing time, and mixing speed to reduce turbidity from kaolin-based synthetic turbid water. Powdered neem seeds with a pore size of about 0.45 mm were prepared and used in water treatment under optimum conditions. Results showed that a coagulant dose of 3 g of neem seeds/L, 13.2 pH level, 60 mins mixing time at 80 rpm mixing speed could reduce turbidity levels to 35 NTU from 250 NTU (86% removal). Findings suggest that powdered neem seeds can be a potential substitute for conventional chemical coagulants for drinking water treatment.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47203941","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 : 2023-01-01DOI: 10.22581/muet1982.2301.02
G. S. Solangi, A. A. Siyal, Pirah Siyal
Due to climate change impacts, seawater intrusion is a major issue in various river deltas around the globe, including the Indus delta, Pakistan. The seawater intrusion has severely affected the freshwater resources as well as the livelihood of the people living in the Indus delta. Thus, this study was aimed to evaluate the subsurface seawater intrusion into the Indus delta based on the groundwater quality data. Around 180 groundwater samples, randomly collected from the study area, were analyzed for chloride, carbonate, and bicarbonate concentrations. Based on these concentrations, the indication of subsurface seawater intrusion was determined using Simpson’s ratio and ionic analysis, such as the ratio of chloride to bicarbonate. Also, an interpolated map using the analysis results of these ratios was developed using ArcGIS 10.5. Overall, the present study revealed that about 88% of the Indus delta is affected by the subsurface seawater intrusion. Also, the impact of subsurface seawater intrusion was observed in the wells near the Thatta and Sujawal towns of the study area. However, about 12% of the delta is still unaffected by the subsurface seawater intrusion. Various factors such as reduction in freshwater flow into the delta, climate change, sea-level rise are potential causes of subsurface seawater intrusion in the study area. This study may be taken as a baseline by the policymakers to start mitigation measures against the degradation of the delta to save the environment from further deterioration. Also, further an isotopic analysis of subsurface seawater intrusion in the study area is recommended.
{"title":"Indication of subsurface seawater intrusion into the Indus delta, Sindh, Pakistan","authors":"G. S. Solangi, A. A. Siyal, Pirah Siyal","doi":"10.22581/muet1982.2301.02","DOIUrl":"https://doi.org/10.22581/muet1982.2301.02","url":null,"abstract":"Due to climate change impacts, seawater intrusion is a major issue in various river deltas around the globe, including the Indus delta, Pakistan. The seawater intrusion has severely affected the freshwater resources as well as the livelihood of the people living in the Indus delta. Thus, this study was aimed to evaluate the subsurface seawater intrusion into the Indus delta based on the groundwater quality data. Around 180 groundwater samples, randomly collected from the study area, were analyzed for chloride, carbonate, and bicarbonate concentrations. Based on these concentrations, the indication of subsurface seawater intrusion was determined using Simpson’s ratio and ionic analysis, such as the ratio of chloride to bicarbonate. Also, an interpolated map using the analysis results of these ratios was developed using ArcGIS 10.5. Overall, the present study revealed that about 88% of the Indus delta is affected by the subsurface seawater intrusion. Also, the impact of subsurface seawater intrusion was observed in the wells near the Thatta and Sujawal towns of the study area. However, about 12% of the delta is still unaffected by the subsurface seawater intrusion. Various factors such as reduction in freshwater flow into the delta, climate change, sea-level rise are potential causes of subsurface seawater intrusion in the study area. This study may be taken as a baseline by the policymakers to start mitigation measures against the degradation of the delta to save the environment from further deterioration. Also, further an isotopic analysis of subsurface seawater intrusion in the study area is recommended.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49284832","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 : 2023-01-01DOI: 10.22581/muet1982.2301.16
W. A. Shaikh, A. G. Shaikh, M. Memon, A. H. Sheikh
This study explored the convergence rate of the hybrid numerical iterative technique (HNIT) for the solution of nonlinear problems (NLPs) of one variable ( f (x) = 0) . It is sightseen that convergence rate is two for the HNIT. By the HNIT, several algebraic and transcendental NLPs of one variable have been illustrated as an approximate real root for efficient performance. In many instances, HNIT is more vigorous and attractive than well-known conventional iterative techniques (CITs). The computational tool MATLAB has been used for the solution of iterative techniques.
{"title":"Convergence rate for the hybrid iterative technique to explore the real root of nonlinear problems","authors":"W. A. Shaikh, A. G. Shaikh, M. Memon, A. H. Sheikh","doi":"10.22581/muet1982.2301.16","DOIUrl":"https://doi.org/10.22581/muet1982.2301.16","url":null,"abstract":"This study explored the convergence rate of the hybrid numerical iterative technique (HNIT) for the solution of nonlinear problems (NLPs) of one variable ( f (x) = 0) . It is sightseen that convergence rate is two for the HNIT. By the HNIT, several algebraic and transcendental NLPs of one variable have been illustrated as an approximate real root for efficient performance. In many instances, HNIT is more vigorous and attractive than well-known conventional iterative techniques (CITs). The computational tool MATLAB has been used for the solution of iterative techniques.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46104885","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 : 2023-01-01DOI: 10.22581/muet1982.2301.14
Abdulatif Alabdulatif, S. Rizvi
The rapid growth of the data-communications network for real-world commercial applications requires security and robustness. Network intrusion is one of the most prominent network attacks. Moreover, the variants of network intrusion have also been extensively reported in the literature. Network Intrusion Detection Systems (NIDS) have already been devised and proposed in the literature to handle this issue. In the recent literature, Kitsune, NIDS, and its dataset have received approx. 500 citations so far in 2019. But, still, the comprehensive parametric evaluation of this dataset using a machine learning algorithm was missing in the literature that could submit the best algorithm for network intrusion attack detection and classification in Kitsune. In this connection, two previous studies were reported to investigate the best machine algorithm (these two studies were reported by us). Through these studies, it was concluded that the Tree algorithm and its variants are best suited to detect and classify all eight types of network attacks available in the Kitsune dataset. In this study, the hyper-parameter optimization of the optimized Tree algorithm is presented for all eight types of network attack. In this study, the optimizer functions Bayesian, Grid Search, and Random Search were chosen. The performance has been ranked based on training and testing accuracy, training and testing cost, and prediction speed for each optimizer. This study will submit the best point hyper-parameter for the respective epoch against each optimizer.
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