Journal of Advanced College of Engineering and Management最新文献

{"title":"Performance Assessment of Chirps, Persiann – CDR, IMERG, and TMPA Precipitation Products across Nepal","authors":"Suraj Lamichhane, Nitesh Sharma, N. Devkota","doi":"10.3126/jacem.v8i1.55914","DOIUrl":"https://doi.org/10.3126/jacem.v8i1.55914","url":null,"abstract":"The observation of hydrological as well as meteorological data is very essential for any kind of hydraulic and hydrological study. In Nepal, due to the significant variation of topography and climatic characteristics as well it is necessary to establish the meteorological stations densely, here only 231 meteorological stations are available and are handled by government organizations Department of Hydrology and Meteorology (DHM).  Even though, due to many limitations, the satellite data is very useful for the water resources study. There are so many satellite products available but the performance of these products varies from place to place. In this study, the performance of four satellite products i.e., Climate Hazards Group Infrared Precipitation with Station data (CHIRPS), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Integrated Multi-Satellite Retrievals for GPM (IMERG), and TRMM Multi-satellite Precipitation Analysis (TMPA) all over Nepal are evaluated with different elevation bands. The performance of each product is evaluated by Probability of Detection (POD), Critical Success Index (CSI), Frequency Bias Index (FBI), False Alarm Ratio (FAR), Root Mean Square Error (RMSE), and Percentage Bias (PBIAS). After analysis of each product, the PERSIANN-CDR data set gives a reasonable performance for all elevation bands after bias correction.","PeriodicalId":306432,"journal":{"name":"Journal of Advanced College of Engineering and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130614191","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}

{"title":"A State-of-The-Art Technical Review on Chemically Enhanced Primary Treatment Plant","authors":"Samundra Chalise, Supendra Prajapati, Swadesh Kumar Yadav, S. Chand, Madan Gorathoki, Yogesh Yadav","doi":"10.3126/jacem.v8i1.55918","DOIUrl":"https://doi.org/10.3126/jacem.v8i1.55918","url":null,"abstract":"This review paper aims to provide a comprehensive assessment of chemically enhanced primary treatment (CEPT) processes in wastewater treatment plants (WWTPs). The outdated and ineffective performance of existing treatment plants has raised concerns regarding public health and environmental safety. CEPT has emerged as a promising alternative approach to enhance the efficiency and effectiveness of primary treatment. By adding chemical coagulants or precipitants to the wastewater, CEPT facilitates the aggregation and settling of suspended solids and contaminants, leading to improved treatment outcomes. This review evaluates the performance and effectiveness of different chemical coagulants, including ferric chloride (FeCl3), polyaluminum chloride (PACl), and alum, in terms of their ability to remove various pollutants such as suspended solids, turbidity, organic matter, nutrients, and emerging contaminants. \u0000The findings from the reviewed studies indicate that different coagulants exhibit varying efficiencies in removing specific parameters such as turbidity, total suspended solids (TSS), chemical oxygen demand (COD), and phosphorous. Alum, ferric chloride, and ferric sulfate showed effectiveness in tannery wastewater treatment, while PACl maximized the removal of macro pollutants. The use of organic carbon sources and sludge recycling demonstrated cost reductions and improved nutrient removal. CEPT was found to be effective in TSS and BOD removal, potentially allowing for compact treatment facilities and enhancing the capacity of biological treatment units. The utilization of recovered alum from water treatment sludge (WTS) in CEPT showed comparable efficiencies to fresh alum. The paper also identifies research gaps and future directions in the field of chemically enhanced primary treatment, while discussing the challenges and limitations associated with CEPT processes. While the reviewed studies provide valuable insights into the performance of different coagulants and coagulant aids, further research is necessary to assess their long-term effects and cost-effectiveness in large-scale applications. The optimal choice of coagulant depends on specific wastewater characteristics and treatment goals. Understanding and optimizing CEPT processes will contribute to the development of innovative solutions for challenges in wastewater treatment systems caused by urbanization, population growth, and emerging contaminants in the major city like Kathmandu.","PeriodicalId":306432,"journal":{"name":"Journal of Advanced College of Engineering and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125435928","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}

{"title":"Production and Carbon Emission Calculation of Bricks Incorporating Construction And Demolition Waste and Pet Pellets","authors":"Anusha K.C, Prakriti Maharjan, S. Shrestha, Sujan Rayamajhi, Anil Ratna Shrestha","doi":"10.3126/jacem.v8i1.55907","DOIUrl":"https://doi.org/10.3126/jacem.v8i1.55907","url":null,"abstract":"The study aims to incorporate solid wastes in the brick where cement is the binding agent and perform the comparative analysis of mechanical properties (compressive strength, density, and water absorption). Polyethylene Terephthalate (PET), and Construction and Demolition waste are the wastes that partially replace sand in the mixture of cement and sand. The compressive strength, water absorption, and dry density of the waste-incorporated bricks are determined which are compared with all parameters of the traditional bricks. The brick with 2% PET showed the best compressive strength of 13.515 MPa. While determining the carbon emissions of composite bricks it showed 0.6 to 0.9 kg CO2 had been generated from the raw material extraction and processing phase, however, the production phase involved no carbon emission because the process was manual and involved no heating or firing. The composite bricks have the potential to be used as structural elements, however, the composite bricks require further study for the optimization of binder content with respect to cost, compressive strength, and carbon emission.","PeriodicalId":306432,"journal":{"name":"Journal of Advanced College of Engineering and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114996551","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}

{"title":"A State-of-The-Art Technical Review on Seismic Resilience of Rcc Structural Components Using Seismic Resistance Based Retrofitting Techniques","authors":"Rinky Shah, Sanjay K.C, Shubhanshu Kumar Bhagat, Srijana Chaudhary, Subash Pokharel, Yogesh Yadav","doi":"10.3126/jacem.v8i1.55909","DOIUrl":"https://doi.org/10.3126/jacem.v8i1.55909","url":null,"abstract":"Existing buildings can be at a greater seismic risk due to non-conformance to current design codes and may require structural retrofitting to improve building performance. The most recent example of that can be seen from the 2015 AD earthquake in Nepal and other sub continental regions, where numbers of buildings were destroyed with more fatal consequences have drawn the attention of the government authorities of Nepal and the general public for seismic earthquake resistance design of buildings. Following the post seismic assessment of building in Nepal after 2015 earthquake, it is revealed that the existing reinforced concrete buildings have some inadequacies in structural components and thus the intensive research and study is required to for the better understanding of the structure in terms of immediate consequences due to direct damage and way to recovery using seismic retrofit assessment. \u0000This paper presents an overview on performance based evaluation of retrofitted rcc structural member using some advanced retrofitting techniques which is innovative and can be cost effective retrofitting strategies demanding less skilled man power. It is concluded that better seismic resilience can be achieved with the help of innovative methods with the application of innovative materials like textile mortars and fibers. In the following sections a review of experimental flexural loading on beam is presented.","PeriodicalId":306432,"journal":{"name":"Journal of Advanced College of Engineering and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129879063","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}

{"title":"Performance Evaluation of Artificial Angular Fly Ash Aggregate","authors":"Yogesh Yadav, Ishwor Singh Saud","doi":"10.3126/jacem.v8i1.55908","DOIUrl":"https://doi.org/10.3126/jacem.v8i1.55908","url":null,"abstract":"This experimental study describes the development of the lightweight angular fly ash aggregate (FAA) and consequent comparison of properties of FAA with natural aggregate (gravel). The manufacturing process of these FAA involves blending of fly ash with cement and alkali activators at various proportioning of cement to fly ash and placing the mix in the mould. This is followed by curing of the cubes for 7 days after letting it to dry for 24hrs and crushing them to obtain the aggregate of different sizes. After having the fly ash aggregate, the test are carried out in fresh state and hardened state of the fly ash aggregate concrete and the conventional concrete. Results are compared to see the efficiency level of flyash aggregate concrete.The properties of both angular fly ash aggregates like Specific gravity, water absorption, Impact value, and Abrasion value are compared with the properties of the conventional aggregates (gravel). This study concludes that FAA with proper mix proportioning can be used as a substitute for conventional aggregates for sustainable construction.","PeriodicalId":306432,"journal":{"name":"Journal of Advanced College of Engineering and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124458637","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}

{"title":"Design Demands of RC Buildings Due to Irregularities","authors":"Ashim Panthi, Ashin Lamsal, Binod Pathak, K. Poudel, B. Pradhan","doi":"10.3126/jacem.v8i1.55915","DOIUrl":"https://doi.org/10.3126/jacem.v8i1.55915","url":null,"abstract":"The RC-framed building is one of the most common construction technique for seismic-resistant structures due to its ductile nature. However, the seismic performance of RC structures can be significantly influenced by different factors, irregularities being one of the most important aspect. Irregularities on buildings increase the lateral seismic forces and inter-storey drifts thus increasing seismic demands in the structural elements. Due to architectural or functional requirements, many times irregularities cannot be avoided even though such arrangements are discouraged in the building codes including the Nepal National Building Code (NBC) 105:2020. Although many studies have been performed to quantify the effects of such irregularities internationally, design effect has not been analyzed in the context of Nepal and NBC 105:2020. Therefore, this study aims to present the variation in design demand for RC buildings in different irregularities scenarios. Three buildings models exhibiting irregularities in torsion, stiffness, and diaphragm are taken and analyzed in Finite Element platform SAP 2000 and compared with a regular building in terms of storey drift, internal forces, etc. The final design of the structural elements shows that the design demand in terms of section size and reinforcements can be significantly influenced by the presence of such irregularities.","PeriodicalId":306432,"journal":{"name":"Journal of Advanced College of Engineering and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131892827","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}

{"title":"Short Updates- Machine Learning Based News Summarizer","authors":"Raksha Dangol, Prashna Adhikari, Pranjal Dahal, Hrizu Sharma","doi":"10.3126/jacem.v8i2.55939","DOIUrl":"https://doi.org/10.3126/jacem.v8i2.55939","url":null,"abstract":"Automated Text Summarization is becoming important due to the vast amount of data being generated. Manual processing of documents is tedious, mostly due to the absence of standards. Therefore, there is a need for a mechanism to reduce text size, structure it, and make it readable for users. Natural Language Processing (NLP) is critical for analyzing large amounts of unstructured, text-heavy data. This project aims to address concerns with extractive and abstractive text summarization by introducing a new neural network model that deals with repetitive and incoherent phrases in longer documents. The model incorporates a novel Seq2Seq architecture that enhances the standard attentional model with an intra-attention mechanism. Additionally, a new training method that combines supervised word prediction and reinforcement learning is employed. The model utilizes a hybrid pointer-generator network, which distinguishes it from the standard encoder-decoder model. This approach produces higher quality summaries than existing models.","PeriodicalId":306432,"journal":{"name":"Journal of Advanced College of Engineering and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134549616","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}

{"title":"Career Guidance System Using Machine Learning","authors":"Subiddhya Panthee, Sudikshya Rajkarnikar, Rabiya Begum","doi":"10.3126/jacem.v8i2.55947","DOIUrl":"https://doi.org/10.3126/jacem.v8i2.55947","url":null,"abstract":"Career Guidance System is important for students going through academic and pursuing courses to access their capabilities and identify their interests. This paper mainly concentrates on career guidance through personality prediction. It helps them decide which job role suits the best based on their performance and other evaluations. The system will predict the Big Five personality, and VAK learning type of the users through data collected from web-based questionnaires. The system recommends different career choices based on their answers. Machine learning algorithms will be used to check the performance of the system and validate the result. ","PeriodicalId":306432,"journal":{"name":"Journal of Advanced College of Engineering and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131341689","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}

{"title":"Spectral Estimation of Electroencephalogram Signal using ARMAX Model and Particle Swarm Optimization","authors":"Bijaya Gautam","doi":"10.3126/jacem.v8i2.55938","DOIUrl":"https://doi.org/10.3126/jacem.v8i2.55938","url":null,"abstract":"Electroencephalogram (EEG) signal is short-length time series data. Parametric and non-parametric methods are used to estimate the power spectral density (PSD) of the time series data. While the non-parametric approach of spectrum estimate of short-length data is unreliable, the parametric approach of spectrum estimate is widely suggested. In the presented work, a parametric autoregressive moving average with exogenous input (ARMAX) model was implemented to find the PSD of the EEG signal. The performance of the implemented ARMAX model was contrasted with other parametric methods like autoregressive AR) and autoregressive moving average (ARMA) and nonparametric methods like periodogram.\u0000Coefficients of ARMAX and (ARMA) were estimated using the particle swarm optimization (PSO) technique based on swarm intelligence. The PSO algorithm adapted with the system identification technique and statistics yielded highly satisfactory results in finding the coefficients of the ARMAX model. All the programming and visualization were performed in a MATLAB environment.","PeriodicalId":306432,"journal":{"name":"Journal of Advanced College of Engineering and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134026510","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}

{"title":"Drishya: Object Detection And MonocuLar Depth Estimation Using Deep Learning","authors":"Saman Tripathee, Samyam Aryal, Samiran Pratap Bibash","doi":"10.3126/jacem.v8i2.55951","DOIUrl":"https://doi.org/10.3126/jacem.v8i2.55951","url":null,"abstract":"This project focuses on object detection and depth estimation using computer vision. The aim of this project is to develop an accurate and reliable system for detecting objects and estimating their distances from a camera. The system uses deep learning-based algorithms to detect objects and estimate their distances. The results of the project show that the system can accurately detect objects and estimate their distances in some scenarios. This project presents an Android app for real-time object detection and depth estimation using computer vision with YOLOv5 and U-Net architecture.","PeriodicalId":306432,"journal":{"name":"Journal of Advanced College of Engineering and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133601713","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}