The investigation of signature validation is crucial to the field of personal authenticity. The biometrics-based system has been developed to support some information security features.Aperson’s signature, an essential biometric trait of a human being, can be used to verify their identification. In this study, a mechanism for automatically verifying signatures has been suggested. The offline properties of handwritten signatures are highlighted in this study which aims to verify the authenticity of handwritten signatures whether they are real or forged using computer-based machine learning techniques. The main goal of developing such systems is to verify people through the validity of their signatures. In this research, images of a group o

Dust is a frequent contributor to health risks and changes in the climate, one of the most dangerous issues facing people today. Desertification, drought, agricultural practices, and sand and dust storms from neighboring regions bring on this issue. Deep learning (DL) long short-term memory (LSTM) based regression was a proposed solution to increase the forecasting accuracy of dust and monitoring. The proposed system has two parts to detect and monitor the dust; at the first step, the LSTM and dense layers are used to build a system using to detect the dust, while at the second step, the proposed Wireless Sensor Networks (WSN) and Internet of Things (IoT) model is used as a forecasting and monitoring model. The experiment DL system

The seventh international scientific conference held at the "University of Baghdad" College of Education "Ibn Rushd" 14-15 / 4/2019, confirmed in its recommendations the need to draw clear strategic planning to invest the qualitative inputs from the Ministry of Education and focus on it in higher education, which requires educational institutions to amend from its current strategies or adopting new strategies in a way that contributes to presenting new ways to compete and keep pace with scientific progress and to find realistic and objective working methods. The aim of the current study is to identify the reality of university strategic planning to invest the outputs of the distinguished schools of the heads of public universities. The r

Walkability as one of the Planning Treatments to Face Epidemics in Cities

Aggregate production planning (APP) is one of the most significant and complicated problems in production planning and aim to set overall production levels for each product category to meet fluctuating or uncertain demand in future. and to set decision concerning hiring, firing, overtime, subcontract, carrying inventory level. In this paper, we present a simulated annealing (SA) for multi-objective linear programming to solve APP. SA is considered to be a good tool for imprecise optimization problems. The proposed model minimizes total production and workforce costs. In this study, the proposed SA is compared with particle swarm optimization (PSO). The results show that the proposed SA is effective in reducing total production costs and req

The arise of Islam as a multidimensional changing phenomenon with its own revolutionary and comprehensive character was inherent with a lot of alterations in social aspects , and this is explicit particularly in the scope of urban life and town planning . Essentially, Islamic style of life has its own urban identity. The urbanization process in Islam has been developed across two integrated sides, the first one concerned on ideational and theoretical aspects , while the other associated with practice .Many urban centers emerged during the Islamic era since the erection of Basrah , the first Islamic town in the middle of the 7th. centaury. Some contemporary urban concepts , both environmental and social could be noticed in Islamic

The implementation of the concept of project scheduling in the organizations generally requires a set of procedures and requirements, So, most important of all is the understanding and knowledge of the tools and techniques which are called the methods of scheduling projects. Consequently, the projects of the municipality administration in the holy governorate of Karbala suffer from the problem of delaying their projects and chaos in the ways of implementation. To provide assistance to this directorate and to demonstrate how to schedule projects using one of the advanced scientific methods that proved their ability to schedule any project and its potential to accelerate the time of completion, as well as ease of use and effectiven

In this work we present a technique to extract the heart contours from noisy echocardiograph images. Our technique is based on improving the image before applying contours detection to reduce heavy noise and get better image quality. To perform that, we combine many pre-processing techniques (filtering, morphological operations, and contrast adjustment) to avoid unclear edges and enhance low contrast of echocardiograph images, after implementing these techniques we can get legible detection for heart boundaries and valves movement by traditional edge detection methods.