Roa'a M. Al_airaji

Bio: Roa'a M. Al_airaji is an academic researcher from University of Babylon. The author has contributed to research in topics: High dynamic range & Panorama. The author has an hindex of 2, co-authored 2 publications receiving 63 citations.

Generation of high dynamic range for enhancing the panorama environment

Abstract: This paper presents a methodology for enhancement of panorama images environment by calculating high dynamic range. Panorama is constructing by merge of several photographs that are capturing by traditional cameras at different exposure times. Traditional cameras usually have much lower dynamic range compared to the high dynamic range in the real panorama environment, where the images are captured with traditional cameras will have regions that are too bright or too dark. A more details will be visible in bright regions with a lower exposure time and more details will be visible in dark regions with a higher exposure time. Since the details in both bright and dark regions cannot preserve in the images that are creating using traditional cameras, the proposed system have to calculate one using the images that traditional camera can actually produce. The proposed systems start by get LDR panorama image from multiple LDR images using SIFT features technology and then convert this LDR panorama image to the HDR panorama image using inverted local patterns. The results in this paper explained that the HDR panorama images that resulting from the proposed method is more realistic image and appears as it is a real panorama environment.

Using Internet of Things Application for Disposing of Solid Waste

Abstract: In recent years, the Internet of things has become an urgent need in all of things that a person needs with least effort and time. It covers in several areas, including controlling traffic and parking, following up on general and private buildings that what you need of periodic maintenance, and reducing energy through using lighting Smart. In this paper, we focus on important thing and widespread in Iraq , collection of solid waste in the streets without treatment, which causes environmental and psychological damage to the citizen.in addition , the solid waste deposal need set up sensors(RFID,GPS, ultrasonic, GSM,…etc), connecting them to Arduino Uno to accomplish specific intelligent processing that we need. Moreover, the system provides waste containers and warns the concerned departments in the city of the need to empty them when they reach a certain level, which makes the streets healthier, more attractive and free from rodents.

Enhancement of educational services by using the internet of things applications for talent and intelligent schools

Abstract: This study deals with the issue of improving educational services for schools of talent and intelligence. The availability of devices, equipment, sensors, and the Internet of things applications led to a direct contribution to improve the level of student education. In addition, the students can complete the tasks and homework easily. The talented and intelligent students are more efficient, skilled, and active. In addition, they are Deeping to understand virtual reality and coexist with it with awareness and consciousness of the development period of information, the spread of equipment, and smart devices. Educational entities achieved their goals by graduating intelligent students who can join the labor market and contribute to the development of the country. In this research, the important features of the Internet of things that are available in the educational environment were studied, and how to get the benefit from them in developing educational services and scientific research service. The Developing of artificial intelligence capabilities, building the right management strategies and creating comprehensive (security, health, and economic) databases that can be relied upon with complete reliability.

A Novel Method of Multimodal Medical Image Fusion Based on Hybrid Approach of NSCT and DTCWT

Abstract: The approach of multimodal medical image fusion, which extracts complementary information from several multimodality medical pictures, is one of the most significant and beneficial illness study tools. This work proposed an effective strategy for multimodal medical picture fusion based on a hybrid approach of NSCT and DTCWT. The experimental study's input multimodality medical images included computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). A suggested approach employs a convolutional network to generate a weight map that incorporates pixel movement information from dual or more multimodality medical pictures. To provide greater visual comprehension by humans, the medical picture fusion method is performed on a multiscale basis using medical image pyramids. Additionally, a local comparison-based method is employed to adaptively alter the fusion mode for the decomposed coefficients. The proposed fusion methodologies result in the highest-quality fused multimodal medical pictures, the lowest processing period, and the finest visualization in terms of visual quality and objective assessment standards.

A comprehensive system for detection of flammable and toxic gases using IoT

Abstract: The majority of the existing gases constitute a risk to the health of humans and the environment in general. There is a wide range of diseases that can arise as a result of exposure to toxic and dangerous gases, which can be a cause of death or serious health problems. More so, deadly explosions may occur as a result of leakages of such gases. However, such consequences can be avoided when these dangerous gases are not detected early. Many researchers have proposed different kinds of systems for the detection of gas leakage, but most of the proposed systems were mainly designed to detect LPG gas. Therefore, in this study, a system is proposed for detecting different kinds of flammable and toxic gases. The gases that are detectable by the proposed system include smoke, Ethanol, CNG Gas, Methane, toluene, propane, Carbon Monoxide, acetone, Hydrogen Gas, and Formaldehyde. The system can detect gases efficiently and release evacuation alarms simultaneously, then send SMS for emergencies. The proposed system is ready to use and can be installed at any work location.

The Impact of Teaching by Using STEM Approach in The Development of Creative Thinking and Mathematical Achievement Among the Students of The Fourth Scientific Class

Abstract: The research aims to know the impact of science, technology, engineering, and mathematics education on both creative thinking and mathematical achievement. To achieve it, the two researchers followed the quasi-experimental approach with an experimental design for two groups, one experimental and the other a control. The research sample consisted of (32) female students from the fourth scientific grade in Al-Intisar Preparatory School for Girls / Al-Rasafa, First Directorate. The sample was chosen intentionally and was divided into two groups: a control group studying by the traditional method, their number (16), and an experimental group that applied the STEM approach, their number also (16). There was parity between the two research groups in the variables (chronological age, previous achievement in mathematics, innovative thinking). The research tools consist of testing innovative thinking skills (fluency, flexibility, originality, relationships) and achievement tests. The research experiment was applied before and after. To test the validity of the hypotheses, data were collected and then statistically analyzed using appropriate statistical methods. The results of the research found that there were statistically significant differences in both the tests of innovative thinking and mathematical achievement in favor of the experimental group that studied according to the STEM approach, and in light of the results, the researchers recommended several recommendations and suggestions.

Monitoring the Consumption of Electrical Energy Based on the Internet of Things Applications

Abstract: One of the instrumental functional overheads in many commercial edifices and industrial plants is the electricity bill. The design and development of a Smart Power monitoring device used to make monitoring on the electrical parameters represented as voltage, current, and power of Wasit university buildings. The system has a unit with smart sensing to detect and control the electrical devices employed for daily activities by following different tariff rates. It has the capability to decrease consumer costs improving grid stability. A developed model was broadly examined and experimental results comparing these results with devices of conventional measuring. The Arduino based wireless powering meter is a non-invasive existing meter for domiciliary power with a WI-FI Connection. A split-core is used to measure the current transformers. 802.11b connection is a means for transmitting data through the home’s wireless router to the base station and monitoring web portal based on wireless sensor network. A clear projection for domestic data use is one of the aims of this project. By these data, it can supply estimation to consuming power. Optimizing and reducing power usage are the objectives of providing such data.