Mehran University Research Journal of Engineering and Technology最新文献_第7页

A data mining approach to forecast students’ career placement probabilities and recommendations in the programming field 一种数据挖掘方法预测学生在编程领域的职业安置概率和建议

IF 0.6

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-04-03 DOI: 10.22581/muet1982.2302.18

K. Mahboob, R. Asif, N. G. Haider

{"title":"A data mining approach to forecast students’ career placement probabilities and recommendations in the programming field","authors":"K. Mahboob, R. Asif, N. G. Haider","doi":"10.22581/muet1982.2302.18","DOIUrl":"https://doi.org/10.22581/muet1982.2302.18","url":null,"abstract":"The career opportunities in computer programming are vast and rapidly increasing. Skilled software engineers, programmers, and developers are vigorously in demand worldwide. The capability to forecast a student's future career can be helpful in a wide variety of pedagogical practices. Data mining is becoming a more robust tool for analysis and forecasting. Therefore, to forecast career placement probabilities in the programming field, data mining classification and forecast techniques are used in this study to facilitate prospective students to make sensible career decisions. To achieve this objective, passed-out graduates' data is utilized, which comprises features like graduates' educational attainments in pre-university grades, i.e. grades of matriculation and intermediate, programming courses taught in early semesters along with the Cumulative Grade Point Average (CGPA) with the internship experience, gender, and family demographic information. Various multi-way Classification Trees are generated, which could help students to choose a branch with high career placement probabilities. From historical data, the Classification Trees have determined whether the branch is 'Good', 'Satisfactory', or 'Poor' based on the given information. The experimental findings indicate that all the features significantly influence the career placement probabilities in the programming field.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47211900","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}

引用次数: 0

Structural model of cost overrun factors affecting Pakistani construction projects 影响巴基斯坦建设项目成本超支因素的结构模型

IF 0.6

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-04-03 DOI: 10.22581/muet1982.2302.12

A. Memon, Abdul Qadir Memon, M. A. Soomro, Muneeb Ayub Memon, Jam Shahzaib Khan Sahito

{"title":"Structural model of cost overrun factors affecting Pakistani construction projects","authors":"A. Memon, Abdul Qadir Memon, M. A. Soomro, Muneeb Ayub Memon, Jam Shahzaib Khan Sahito","doi":"10.22581/muet1982.2302.12","DOIUrl":"https://doi.org/10.22581/muet1982.2302.12","url":null,"abstract":"Cost overruns are a global challenge to successfully completing construction projects. Cost overrun has a substantial impact resulting in most construction projects failing to be completed. Several factors have contributed significantly to the industry's decline. The factors were discovered in the literature, assessed, and applied to the construction industry in Pakistan. This study scrutinized and identified the relationships between the factors causing cost overruns in the Pakistani construction industry using the Partial Least Squares Structural Equation Modelling (PLS-SEM) approach. The structural model was created and tested with Smart-PLS software using data from a questionnaire survey of 131 construction practitioners. Six constructs were used to categorise the factors. The model identifies 21 critical factors in Pakistani construction projects, with resource management ranking first. Contract management issues can also contribute significantly to project cost overruns. Model assessment results indicate that the developed model has a substantial power of explaining the factors of cost performance while R2 value showed that 45.7% variance is explained by the model. The model developed model will serve as a jumping-off point for academics, researchers, and practitioners in developing a cost-control system. It is suggested that establishing an efficient and effective contract management protocol among stakeholders throughout the design and supervision stages is extremely beneficial for improving project cost performance and significantly reducing time overruns.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44643755","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}

引用次数: 0

Behavior of electrical resistivity against different soil properties 电阻率对不同土壤性质的影响

IF 0.6

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-04-03 DOI: 10.22581/muet1982.2302.10

W. Sahito, Rabeea W Bazuhair

{"title":"Behavior of electrical resistivity against different soil properties","authors":"W. Sahito, Rabeea W Bazuhair","doi":"10.22581/muet1982.2302.10","DOIUrl":"https://doi.org/10.22581/muet1982.2302.10","url":null,"abstract":"Any construction must be designed and built after the subsurface soil has been determined. The subsurface qualities of the soil are rendered by expensive, time-consuming, and risky operations, which on the other hand, raise the project's capital expenditure while also getting the engineering properties of distinct soil materials. Standard sampling techniques for boreholes are used for the assessment of the engineering properties of soil. But it is pretty costly, intrusive, and takes too much time. Therefore, a different method of determining the subsurface soil parameters is required. An alternate strategy for borehole sampling is to use geo-electrical techniques, such as electrical resistivity (ER). This research aims to ascertain the relationship between the electrical resistivity of various soils and their engineering characteristics. Without using the borehole sample method, appropriate correlations will aid in determining the subsurface soil parameters. Good correlations are obtained for the relationship of electrical resistivity against friction angle, cohesion and moisture content with an R2 value of 0.79, 0.41 and 0.66, respectively. The correlation of resistivity with unit weight showed a weak relationship due to typical soil behavior.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43000900","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}

引用次数: 0

Parameters extraction of photovoltaic cells using swarm intelligence based optimization technique: research on single diode model and double diode model 基于群智能优化技术的光伏电池参数提取:单二极管模型和双二极管模型研究

IF 0.6

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-04-03 DOI: 10.22581/muet1982.2302.17

Muhammad Imran Ghoto, Mazhar Hussain Balouch, Touqeer Ahmed Jummani, A. A. Memon

{"title":"Parameters extraction of photovoltaic cells using swarm intelligence based optimization technique: research on single diode model and double diode model","authors":"Muhammad Imran Ghoto, Mazhar Hussain Balouch, Touqeer Ahmed Jummani, A. A. Memon","doi":"10.22581/muet1982.2302.17","DOIUrl":"https://doi.org/10.22581/muet1982.2302.17","url":null,"abstract":"Solar-energy is a clean source of energy and photovoltaic (PV) panels are constructed from solar cells (SC) which convert energy of light into electricity without any environmental effect. The researchers and policy makers focus on the huge scale adoption of solar panels due to its cleaner production. However, there is non-linear behavior in current-voltage characteristics of solar panels and shortage of data in manufacturer’s datasheet. In order to enhance the efficiency of solar panels it is mandatory to develop the PV panels scheme accurately by extracting the basic parameters. In this research study a mathematical model of two different solar cell models is used such as Single Diode Model (SDM) and Double Diode Model (DDM). The Particle Swarm Optimization (PSO) is used to extract the five and seven unknown parameters of SDM and DDM. The algorithm runs with one thousand iterations to minimize the Root Mean Square Error (RMSE) where the RMSE is the vector of five unknown parameters for SDM and seven for DDM. The superiority of proposed PSO algorithm is proved by the optimized results of unrevealed parameters with minimized RMSE of up to 10-3. Optimum parameter values for the solar cell models are applied on the real time data of a 55 mm diameter commercial RTC-France SC. Finally, the results reveal that P-V and I-V curves exhibit smallest deviation between estimated and real time values. The results reveal that the proposed PSO converges to optimal solution with least number of iterations compared to the existing metaheuristic algorithms.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49023003","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}

引用次数: 0

Optimized hill climbing algorithm for an islanded solar photovoltaic system 孤岛太阳能光伏系统的爬山优化算法

IF 0.6

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-04-03 DOI: 10.22581/muet1982.2302.13

Muhammad Mateen Afzal Awan, Atif Ullah Khan, Mohammad Umer Siddiqui, Hamid Karim, Muhammad Bux

{"title":"Optimized hill climbing algorithm for an islanded solar photovoltaic system","authors":"Muhammad Mateen Afzal Awan, Atif Ullah Khan, Mohammad Umer Siddiqui, Hamid Karim, Muhammad Bux","doi":"10.22581/muet1982.2302.13","DOIUrl":"https://doi.org/10.22581/muet1982.2302.13","url":null,"abstract":"Conventional energy generation technologies face unreliability due to the depletion of fossil fuels, soaring energy prices, greenhouse gas emissions, and continuously increasing energy demand. As a result, researchers are searching for reliable, cheap, and environmentally friendly renewable energy technologies. Solar photovoltaic (PV) technology, which directly converts sunlight into electricity, is the most attractive sustainable energy source due to the sun's ubiquitous presence. However, the non-linear behaviour of solar PV demands maximum power point tracking (MPPT) to ensure optimal power production. Although Hill Climbing (HC) is a simple, cheap, and efficient MPPT algorithm, it has a drawback of steady-state oscillations around MPP under uniform weather conditions. To overcome this weakness, we propose some modifications in the tracking structure of the HC algorithm. The proposed optimized HC (OHC) algorithm achieves zero steady-state oscillations without compromising the strength of the conventional HC algorithm. We applied both algorithms to an off-grid PV system under constant and changing weather conditions, and the results demonstrate the superiority of the proposed OHC algorithm over the conventional HC algorithm.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48548372","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}

引用次数: 0

Combined variational iteration method with chebyshev wavelet for the solution of convection-diffusion-reaction problem 变分迭代法与切比雪夫小波结合求解对流扩散反应问题

IF 0.6

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-04-03 DOI: 10.22581/muet1982.2302.11

M. Memon, K. B. Amur, W. A. Shaikh

引用次数: 0

A machine learning approach for Urdu text sentiment analysis 乌尔都语文本情感分析的机器学习方法

IF 0.6

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-04-03 DOI: 10.22581/muet1982.2302.09

Muhammad Akhtar, Saif-Ur Rehman

{"title":"A machine learning approach for Urdu text sentiment analysis","authors":"Muhammad Akhtar, Saif-Ur Rehman","doi":"10.22581/muet1982.2302.09","DOIUrl":"https://doi.org/10.22581/muet1982.2302.09","url":null,"abstract":"Product evaluations, ratings, and other sorts of online expressions have risen in popularity as a result of the emergence of social networking sites and blogs. Sentiment analysis has emerged as a new area of study for computational linguists as a result of this rapidly expanding data set. From around a decade ago, this has been a topic of discussion for English speakers. However, the scientific community completely ignores other important languages, such as Urdu. Morphologically, Urdu is one of the most complex languages in the world. For this reason, a variety of unique characteristics, such as the language's unusual morphology and unrestricted word order, make the Urdu language processing a difficult challenge to solve. This research provides a new framework for the categorization of Urdu language sentiments. The main contributions of the research are to show how important this multidimensional research problem is as well as its technical parts, such as the parsing algorithm, corpus, lexicon, etc. A new approach for Urdu text sentiment analysis including data gathering, pre-processing, feature extraction, feature vector formation, and finally, sentiment classification has been designed to deal with Urdu language sentiments. The result and discussion section provides a comprehensive comparison of the proposed work with the standard baseline method in terms of precision, recall, f-measure, and accuracy of three different types of datasets. In the overall comparison of the models, the proposed work shows an encouraging achievement in terms of accuracy and other metrics. Last but not least, this section also provides the featured trend and possible direction of the current work.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43464612","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}

引用次数: 0

Effect of variable conduction angle on the losses of switched reluctance machine 可变导通角对开关磁阻电机损耗的影响

IF 0.6

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-04-03 DOI: 10.22581/muet1982.2302.15

A. A. Memon, A. A. Memon, M. A. Uqaili, Mukhtiar Ali Unar

引用次数: 0

An improved non-local awareness of congestion and load balanced algorithm for the communication of on chip 2D mesh-based network 一种改进的片上二维网格网络非局部拥塞感知和负载均衡算法

IF 0.6

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-04-02 DOI: 10.22581/muet1982.2302.07

Munib Ahmed, M. I. Baig

{"title":"An improved non-local awareness of congestion and load balanced algorithm for the communication of on chip 2D mesh-based network","authors":"Munib Ahmed, M. I. Baig","doi":"10.22581/muet1982.2302.07","DOIUrl":"https://doi.org/10.22581/muet1982.2302.07","url":null,"abstract":"Due to advancements in multi-core design technology, IC (Integrated Circuits) designers have expanded the single chip multi-core design. A privileged way of communication effectively between these multi-cores is a Network on-chip (NoC). Design of an effective routing algorithm capable of routing data to non-congested paths is the most notable research challenge in NoC, by retrieving congestion information of non-local nodes. This research proposed an improved congestion-aware load balancing routing algorithm. Non-local or distant links congestion awareness is done by propagating congestion information via data packets. By counting number of hops from the source node, in the quadrant of the destination node, an intermediate node has been defined, and after the calculation of the least congested route to the intermediate node, this route is also stored in the data packet for source routing. Furthermore, for load balancing network is partitioned into two areas called high congested area (HCA) and low congested area (LCA). For load balancing, from HCA a node in LCA is selected as output for data packets. Comparison of the proposed algorithm is done in the form of average latency, average throughput, power consumption, and scalability analysis under synthetic traffic patterns. Under simulation experiments, it is shown improvement in an average latency and throughput of the proposed algorithm is 31.28% and 5.28% respectively, than existing.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42026049","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}

引用次数: 0

Frequency limited impulse response gramians based model reduction 基于频率限制脉冲响应谱的模型简化

IF 0.6

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-04-02 DOI: 10.22581/muet1982.2302.08

Muhammad Mateen Afzal Awan, M. Awan, Atif Ullah Khan, Mohammad Umer, M. Zia, Muhammad Bux

引用次数: 0