Mehran University Research Journal of Engineering and Technology最新文献_第4页

Investigation into shrinkage of stretchable denim fabric and its consumption in marker making by varying drying temperatures 不同干燥温度下可拉伸牛仔布织物的收缩率及其在标记制作中的消耗的研究

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-09-29 DOI: 10.22581/muet1982.2304.2871

Muhammad Amir, Shenela Naqvi, Farhana Naeem

{"title":"Investigation into shrinkage of stretchable denim fabric and its consumption in marker making by varying drying temperatures","authors":"Muhammad Amir, Shenela Naqvi, Farhana Naeem","doi":"10.22581/muet1982.2304.2871","DOIUrl":"https://doi.org/10.22581/muet1982.2304.2871","url":null,"abstract":"This investigation was carried out to minimize Cotton and Cotton–polyester stretchable denim fabrics consumption for garment development through marker making. It was achieved by controlling fabric shrinkage by reducing drying temperature after washing in fixed processing time, without compromising properties of denim; Tensile strength, Stretch (growth and recovery at constant and cyclic loading) and colour strength (K/S) of required shade. warp faced 3x1 and 2x1 denim containing elastin were constructed and then washed using same recipe as per industrial practice however drying temperatures were set at 50oC, 60oC and 70oC, separately. After measuring shrinkage and evaluating tensile strength, Stretch, Growth and recovery at constant and cyclic loading and colour strength (K/S) using standard test methods; trouser marker layout was developed by employing Gerber technology to investigate fabrics consumption. The obtained shrinkage % demonstrated a significant coefficient of determination (R2=0.9931) against drying temperatures. Relation of tensile strength, colour strength and growth were insignificant however stretch, growth and recovery at static and cyclic loading were significantly affected by changing temperatures. Average shrinkage % of stretchable denim fabric was 1.71% in warp and 8.24% in weft at 50oC. It increased to 12.05% in weft at 60oC however remained same in warp while against 70oC it was 1.82% in warp and 14.08% in weft. 10 minutes drying time was kept same for selected drying temperatures. It was found that fabric consumption reduced to 1.25 m per trouser from 1.32 m per trouser by setting drying temperature at 50oC. Present research work provides guideline to denim industries to process stretchable denim at lower drying temperature i.e., 50oC because it not only reduced consumption of elastin containing denim fabric, but it also makes process cost effective as well as environmentally friendly.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135296483","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

Parametric characterization of semi-rigid asphalt skeleton using recycled materials 使用再生材料的半刚性沥青骨架的参数表征

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-09-29 DOI: 10.22581/muet1982.2304.2890

Syed Faraz Jafri, Naeem Aziz Memon, Rizwan Ali Memon, Khawaja Sheeraz, Kamran Khan

引用次数: 0

Covid 19 image classification using hybrid averaging transfer learning model 基于混合平均迁移学习模型的Covid - 19图像分类

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-09-29 DOI: 10.22581/muet1982.2304.2900

Qamar Abbas, Khalid Mahmood, Saif Ur Rehman, Muhammad Imran

{"title":"Covid 19 image classification using hybrid averaging transfer learning model","authors":"Qamar Abbas, Khalid Mahmood, Saif Ur Rehman, Muhammad Imran","doi":"10.22581/muet1982.2304.2900","DOIUrl":"https://doi.org/10.22581/muet1982.2304.2900","url":null,"abstract":"The outbreak of Corona Virus 2019(Covid-19) is a great threat to the whole world. It is crucial to early detect patients infected with covid-19 and treat them to mitigate the rapid spread of this disease. It is an immediate priority to overcome the traditional screening and develop an accurate as well as speedy covid-19 automatic diagnosis system. Computer Tomography (CT) and Chest X-Ray imaging coupled with deep learning models to develop and test Computer Aided Screening (CAS) of covid-19 images from the normal images. In this paper classification and screening of covid-19 disease are performed by using pre-trained convolutional neural networks and a proposed hybrid model on an available standard dataset of chest X-Ray images. The proposed hybrid model employs the pre-trained Convolutional Neural Network models and Transfer Learning models. Our proposed model consists of three stages where extraction of features is performed in first stage by using pre-trained machine learning model. Deep features are extracted by using the infusion of the Transfer Learning Technique in the second stage of the model. The third stage uses Flatten and Classification layers to diagnose of Covid-19 patients. In order to assure the consistency of the proposed model, by considering standard dataset X-Ray images. Simulation results of performance metrics of Accuracy, F1 Score, Precision, Recall, ROC, and AUC curve, and training and testing loss are used to evaluate and compare the proposed model with existing models. Experimental result demonstrates that the hybrid model improves the screening process for Covid-19 disease by achieving higher accuracy.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135296485","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

Identification of cancerlectin proteins using hyperparameter optimization in deep learning and DDE profiles 在深度学习和DDE谱中使用超参数优化识别癌凝集素蛋白

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-09-29 DOI: 10.22581/muet1982.2304.2793

Rahu Sikander, Ali Ghulam, Jawad Hassan, Laiba Rehman, Nida Jabeen, Natasha Iqbal

{"title":"Identification of cancerlectin proteins using hyperparameter optimization in deep learning and DDE profiles","authors":"Rahu Sikander, Ali Ghulam, Jawad Hassan, Laiba Rehman, Nida Jabeen, Natasha Iqbal","doi":"10.22581/muet1982.2304.2793","DOIUrl":"https://doi.org/10.22581/muet1982.2304.2793","url":null,"abstract":"This study focuses on the development, metastasis, and spread of cancer diseases. It is therefore very desirable to establish deep learning method that classify cancerlectin proteins function efficiently and effectively. We used feature extraction model for physicochemical properties, such as Cancerlectins protein structure, functions, and other compounds. We propose a computational method, namely, cancerlectin two-dimensional convolutional neural networks (Lectin2D-CNN), for predicting cancerlectin proteins. Additionally, we conduct the cross-validation experiments. In addition to this approach, our paper proposes using cancerlectin two-dimensional convolutional neural networks (Lectin2D-CNN) to do image-based classification. The results indicate the proposed method Lectin2D-CNN achieved high accuracy and satisfactory specificity for comparison data sets and was superior to the compared methods. Various classifiers were used to predict cancerlectin protein functions. We developed a prediction model based on the 2D-CNN architecture to increase the recognition sensitivity and accuracy for cancerlectins. Results provide a basis for the estimation of cancer lectins and demonstrate deep learning approaches in in computational proteomics. When the Cross-validation using 2D-CNN random number generator has produced accuracy score obtain 0.7169%, Sensitivity score obtain 0.7012%, Specificity score obtain 0.7326%, MCC score obtain 0.4428%, ROC-AUC score is 0.76%, respectively, then we know we've attained a reliable result. When the Independent datasets using 2D-CNN random number generator has produced accuracy score obtain 0.6375%, Sensitivity score obtain 0.6160%, Specificity score obtain 0.6589%, MCC score obtain 0.2851%, and ROC (auc) score is 0.76%, respectively.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135296347","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: 1

Design and simulation of efficient solar thermal water heating system for textile industries in Pakistan 巴基斯坦纺织工业高效太阳能热水系统的设计与仿真

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-09-29 DOI: 10.22581/muet1982.2304.2655

Hafiz Usama Hashmat, Mohammad Aamir Khan

{"title":"Design and simulation of efficient solar thermal water heating system for textile industries in Pakistan","authors":"Hafiz Usama Hashmat, Mohammad Aamir Khan","doi":"10.22581/muet1982.2304.2655","DOIUrl":"https://doi.org/10.22581/muet1982.2304.2655","url":null,"abstract":"Pakistan is facing a severe crisis of energy since 2004. The core causes behind this crisis of energy are the lack of usage of advanced tools in policy development and planning, poor governance and dependency on other sources of energy which are also limited. In this research the design of a solar thermal system to produce hot water at a specified temperature has been presented as solar energy is available in abundance. A flow rate of 80 tons per day of hot water has been assumed. This system may run for 16 hours a day and it will require 5 tons of water per hour at the input. Water at ambient temperature of 25℃ enters the system and hot water at 75℃ is produced by the system. This design is implemented on TRNSYS software which validates the temperature achievement of 75℃ at outlet. It is shown that the collector area of flat plate solar collectors is 600m2. This temperature configuration is an essential requirement for textile industry and it is achieved efficiently. It is a good replacement for the industry working with expensive energy sources like diesel, gas or furnace oil.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135296484","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

Impacts of Eco-Friendly Environmental Designs on Health and Well-Being of Patients in Hospitals 生态友好型环境设计对医院患者健康和福祉的影响

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-09-28 DOI: 10.36630/jpses_23011

Innocent Eneogwe

{"title":"Impacts of Eco-Friendly Environmental Designs on Health and Well-Being of Patients in Hospitals","authors":"Innocent Eneogwe","doi":"10.36630/jpses_23011","DOIUrl":"https://doi.org/10.36630/jpses_23011","url":null,"abstract":"Homeopathic settings like hospital reception hall can increase a patient’s nervousness level as well as mental and physical reactions to their present state. This study is aimed at evaluating the use of environmental design, precisely the design that integrates fundamentals of the natural environment, in hospitals to reduce nervousness, hypertension and heartbeat rates of waiting patients. Depictions of landscape and the natural environment are known to restore feasible bonds between man and his environment, consequently, the influences of environmental design on patient’s reactions are rated and examined. In a bid to examine these assumptions about 145 persons were sampled. They were later classified into control and experiment clusters of males and females. The designed environment was subjected to experimental fields such as natural elements, green plants, sounds of waterfalls and birds. Both control and experimental fields were tested before and after the experiment. The results indicated that a designed hospital’s reception hall room immensely influences the decreased rate of patient nervousness (p< 0.001), hypertension (p< 0.001) and heartbeat rate (0.001). We propose that using an environmental design for homeopathic treatment centers can decrease the level of nervousness in patients and can lead to a patient’s recovery. Keywords: Architectural Design, Environmental Design, Nervousness, Hypertension, Heartbeat Rate, Stress","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135469800","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

Capturing the role of rural consumers in sensitive price indicator through geometric consistency check on urban and rural market prices 通过对城乡市场价格的几何一致性检验，捕捉农村消费者在敏感价格指标中的作用

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-09-27 DOI: 10.22581/muet1982.2304.2567

Humaira Faraz, Fahim Raees, Mirza Mahmood Baig

{"title":"Capturing the role of rural consumers in sensitive price indicator through geometric consistency check on urban and rural market prices","authors":"Humaira Faraz, Fahim Raees, Mirza Mahmood Baig","doi":"10.22581/muet1982.2304.2567","DOIUrl":"https://doi.org/10.22581/muet1982.2304.2567","url":null,"abstract":"This paper focuses on capturing price movement and price stability in rural and urban markets. Pakistan collects prices from both markets, but only for the computation of the Consumer Price Index (CPI), which is calculated on a monthly basis. It is proposed to include rural markets by widening the scope of the Sensitive Price Indicator (SPI), computed by the Pakistan Bureau of Statistics (PBS). The inconsistency in the prices of rural markets is observed on the basis of different measures, including descriptive and inferential statistics. Therefore, it is suggested to include rural markets as well in the SPI computation. Large numbers of head counts make transactions in rural areas, which may be taken into account for capturing the accurate weekly consumption pattern of the consumers. Prices of all SPI items were taken from urban and rural markets and checked for normality through the Kolmogorov-Smirnovand Shapiro-Wilk tests. Further, the normality was checked graphically by the Q-Q plot (Quantile-Quantile plot) and histogram. Due to the skewness of the data, non-parametric methods like the geometric coefficient of variation and the coefficient of mean deviation from the median have been applied to check the consistency of the prices in rural markets. The prices of rural markets for further framing of policy to widen the scope of capturing the movement of prices.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135587271","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

Deferment Roots in Building Formation and Construction Projects in South-eastern Nigeria 尼日利亚东南部建筑成型和建设项目的延期根源

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-09-24 DOI: 10.36630/jpses_23014

Richard E Madukwe, Henry C Umunakwe

{"title":"Deferment Roots in Building Formation and Construction Projects in South-eastern Nigeria","authors":"Richard E Madukwe, Henry C Umunakwe","doi":"10.36630/jpses_23014","DOIUrl":"https://doi.org/10.36630/jpses_23014","url":null,"abstract":"Deferment in the course of building formation and construction projects is an aspect of the shared situations in the formation stage of the building industry, several factors like timing, availability of raw material, delay in down payment, and readiness of finance, construction goodwill and building logistics. This study is aimed at determining the prime roots of deferments in the formation stage of building projects in South-eastern Nigeria. Research study approach was engaged throughout the sampled urban areas in South-eastern Nigeria, for instance: Aba, Abakalikki, Owerri, and Awka. 150 copies of well-completed questionnaires were collected and analyzed. The outcome specified that disparities roots, deferments in stage-to-stage overheads, bidding below cost price, and subcontractors’ weak execution, and complications in communication were fundamental to the deferments in the execution of building projects in South-eastern Nigeria. This study is the foremost on the roots of deferments in the formation stage of building projects in South-eastern Nigeria. The relative study revealed two exceptional roots of deferments in the Nigerian building industry, for instance, pressure in demanding job safety, and irrational demand for advance disbursements by constructors. It also discloses diverse categories of deferment roots in accordance by means of notable civil and financial situations in South-eastern Nigeria. Conclusively, the result from the study is not only applicable to South-eastern Nigeria but can be extended to building construction projects in other parts of the developing nations of the world for similar outcomes. Keywords: Deferments; building projects; hazard supervision; South-eastern Nigeria, building formation; relative study; building construction.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135927211","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

Examining the Practice of Using Bamboo for Construction, Indoor and Outdoor Decoration 竹材在建筑及室内外装饰中的应用探讨

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-08-20 DOI: 10.36630/jpses_23010

Innocent Eneogwe

引用次数: 0

Artificial intelligence (AI) empowered anomaly detection for autonomous vehicles in 6G-V2X 人工智能(AI)增强了6G-V2X自动驾驶汽车的异常检测能力

IF 0.6

Mehran University Research Journal of Engineering and Technology Pub Date : 2023-07-21 DOI: 10.22581/muet1982.2303.09

Irfan Ali Kandhro, F. Ali, Ali Orangzeb Panhwar, Raja Sohail Ahmed Larik, Kanwal Fatima

{"title":"Artificial intelligence (AI) empowered anomaly detection for autonomous vehicles in 6G-V2X","authors":"Irfan Ali Kandhro, F. Ali, Ali Orangzeb Panhwar, Raja Sohail Ahmed Larik, Kanwal Fatima","doi":"10.22581/muet1982.2303.09","DOIUrl":"https://doi.org/10.22581/muet1982.2303.09","url":null,"abstract":"The development of advanced Intelligent Transportation Systems has been made possible by the rapid expansion of autonomous vehicles (AVs) and networking technology (ITS). The in-vehicle users' increased data needs from AVs put the vehicle's trajectory data in danger and make it more susceptible to security threats. In this paper, Autonomous vehicles (AVs) transform the intelligent transportation system by exchanging real-time and seamless data with other AVs and the network (ITS). Transportation that is automated has many advantages for people. However, worries about safety, security, and privacy continue to grow. The AVs need to exchange sensory data with other AVs and with their own for navigation and trajectory planning. When an unreliable sensor-equipped AV or one that is malicious enters connectivity in such circumstances, the results could be disruptive. To effectively detect anomalies and mitigate cyberattacks in AVs, this study suggests the Efficient Anomaly Detection (EAD) method. The EAD technique finds and isolates rogue AVs using the Multi-Agent Reinforcement Learning (MARL) algorithm, which operates over the 6G network to thwart modern cyberattacks and provide a quick and accurate anomaly detection mechanism. The expected outcomes demonstrate the value of EAD and have an accuracy rate that is 8.01% greater than that of the current systems.","PeriodicalId":44836,"journal":{"name":"Mehran University Research Journal of Engineering and Technology","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43696786","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