Volume 3 Issue 3

1: Check the Sensitivity of Cost Parameters in Construction Projects Using Deterministic Model

ABSTRACT: The deterministic model was built to check the sensitivity of the impact of standard cost on the cost and demystification was carried out at the beginning (Delphi rounds and Likert scale) to determine the most important parameters, the Fuzzy Analytical Hierarchy Process (FAHP) to arrange and finally verify the parameter using FDM for the purpose of comparison with reality In practice, the most important parameters were used and applied in 100 construction projects, calculating importance weights, and then using the deterministic model to verify the extent of their impact in preparation for predicting the mathematical model of cost parameters.

Keywords: Parametric Cost, Deterministic Model, Sensitivity Index.


2: The Effect of Climate Change (Extreme Weather) on Communities & Homes

ABSTRACT: This paper investigates the impact of temperature and extreme wind on homes and societies in vulnerable countries. Although, many studies have been carried out regarding extreme weather, this report includes some useful information specifically about high temperature and strong wind as well as some recommendations to prevent or limit their effect on communities and homes.

Keywords: The effect of climate change; Solutions to diminish the impact of wind; Extreme temperature.


3: Health Monitoring System (Device-Web Application-Mobile Application)

ABSTRACT: The main objective of this project is to employ a device capable of measuring human temperature, spo2, and heart rate this system is for 24×7 human health monitoring. The device consists of Node MCU, which is used to control and data processing and all sensors connected to Node MCU. Through sensors, it is possible to measure all values and display them on an OLED screen. These values are then used for detecting any critical situation. Users can enter the values of spo2, heart rate, and temperature into the mobile application and see their results. In critical situations, the user is also able to contact any doctor through the mobile application. Any doctor can monitor this person from anywhere around the world through the Internet. The application also connected to mobile application through firebase to allow the user to download PDF that contain all physiological Information. Through this Paper, the complete building process is discussed in detail, from the thought development until the HMS device (Health Monitoring System) was built, running through the design phase and detailed design components as software and hardware, with a list of targeted future improvement. All from the center of Ismailia, Egypt; To the world.

Keywords: Node MCU. Health Monitoring System. Sensors.


4: Indian Sign Language Detection Using Artificial Intelligence

ABSTRACT: In the realm of human computer interaction, sign language detection has emerged as one of the most significant study fields. Deep learning and machine learning can also be utilized to help with this problem. This may be quite useful in talking with others for the deaf and dumb. Physically challenged persons can convey their thoughts and emotions through sign language. The Indian sign language dataset has been subjected to eight machine learning approaches: SVM, Random forest, KNN, Decision tree, Logistic regression, XgBoost, LightGBM, Naïve byas and one deep learning approaches: CNN. The dataset is also subjected to pre-trained model ‘ssd_mobilnet_v2_fpnlite_320x320_coco17_tpu-8’ for real time detection of Indian sign language. Furthermore, the study intends to use comparative analysis of performance to achieve its goals to make the selection of relevant prediction techniques easier.

Keywords: Artificial Intelligence; Sign Language Detection; Real time Detection.