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Articles 1 - 6 of 6
Full-Text Articles in Engineering
Prospects For Solving The Problem Of Rational Use Of Water Resources Using The Tiiame-1 Sprinkling Machine, M.Kh. Khamidov, A.R. Muratov
Prospects For Solving The Problem Of Rational Use Of Water Resources Using The Tiiame-1 Sprinkling Machine, M.Kh. Khamidov, A.R. Muratov
Irrigation and Melioration
The information published by the International Commission on Irrigation and Drainage, and the intermediate results of many years of research carried out by scientists from TIIAME on the development, research and implementation of water-saving technologies in agriculture are presented. The acute shortage of water resources in Central Asia, the problems of increasing the efficiency of the use of water-saving technologies around the world have led to the careful use of available water resources in the region, including the prospects and advantages of using irrigation of crops by sprinkling, as well as the design and technical parameters of the sprinkler developed …
The Impact Of Automation On Student's Career Decision, Muhammad Hizkil Imran, Arshveen Ramesh, T Rudran
The Impact Of Automation On Student's Career Decision, Muhammad Hizkil Imran, Arshveen Ramesh, T Rudran
Introduction to Research Methods RSCH 202
We study the impact of automation on employment and students’ career paths, by obtaining credible datasets from the Government of Singapore. The manufacturing and construction sectors were the most affected industries over the last 15 years. Along with the limited studies, we propose a survey to quantify and analyse students’ views on automation. The shift in employment rate in various sectors due to automation was found to be a contributing factor for students’ career decisions. Based on our findings, we observed that more students are acknowledging the impact of automation and finding the need for job securities and opportunities by …
Quickcut Cnc Waterjet Cutter, Kelly V. Robbins
Quickcut Cnc Waterjet Cutter, Kelly V. Robbins
Williams Honors College, Honors Research Projects
This design project was dedicated to improving the existing design and making functional the QuickCut CNC Waterjet Cutter. The scope of work consisted of making the machine mobile and more structurally stable as well as programming the CNC controls. The project was started in the 2018/19 school year by a former mechanical engineering student. The subsystems consist of the frame, power, motor, water pump and associated plumbing, nozzle, abrasive feed system, x/y gantry, Arduino control system and the cutting bed. Unfortunately, due to the COVID-19 pandemic, the full scope was not able to be completed in its entirety.
Apex2s: A Two-Layer Machine Learning Model For Discovery Of Host-Pathogen Protein-Protein Interactions On Cloud-Based Multiomics Data, Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi
Apex2s: A Two-Layer Machine Learning Model For Discovery Of Host-Pathogen Protein-Protein Interactions On Cloud-Based Multiomics Data, Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi
Faculty of Engineering and Information Sciences - Papers: Part B
No abstract provided.
Ensemble Machine Learning Approaches For Webshell Detection In Internet Of Things Environments, Binbin Yong, Wei Wei, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Marcin Wozniak, Dawid Polap, Robertas Damasevicius
Ensemble Machine Learning Approaches For Webshell Detection In Internet Of Things Environments, Binbin Yong, Wei Wei, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Marcin Wozniak, Dawid Polap, Robertas Damasevicius
Faculty of Engineering and Information Sciences - Papers: Part B
The Internet of things (IoT), made up of a massive number of sensor devices interconnected, can be used for data exchange, intelligent identification, and management of interconnected “things.” IoT devices are proliferating and playing a crucial role in improving the living quality and living standard of the people. However, the real IoT is more vulnerable to attack by countless cyberattacks from the Internet, which may cause privacy data leakage, data tampering and also cause significant harm to society and individuals. Network security is essential in the IoT system, and Web injection is one of the most severe security problems, especially …
Combined General Vector Machine For Single Point Electricity Load Forecast, Binbin Yong, Yongqiang Wei, Jun Shen, Fucun Li, Xuetao Jiang, Qingguo Zhou
Combined General Vector Machine For Single Point Electricity Load Forecast, Binbin Yong, Yongqiang Wei, Jun Shen, Fucun Li, Xuetao Jiang, Qingguo Zhou
Faculty of Engineering and Information Sciences - Papers: Part B
General Vector Machine (GVM) is a newly proposed machine learning model, which is applicable to small samples forecast scenarios. In this paper, the GYM is applied into electricity load forecast based on single point modeling method. Meanwhile, traditional time series forecast models, including back propagation neural network (BPNN), Support Vector Machine (SVM) and Autoregressive Integrated Moving Average Model ( ARIMA), are also experimented for single point electricity load forecast. Further, the combined model based on GYM, BPNN, SVM and ARIMA are proposed and verified. Results show that GYM performs better than these traditional models, and the combined model outperforms any …