The research included four chapters starting with the chapter dealing with the problem of child abuse which was one of the most important educational and social problems faced by children from their parents or family members. The most common forms of abuse are physical and psychological violence. The problem of school delays is also one of the most important educational and psychological issues that concern educators, which occur because of violence and neglect of the family. The study pointed out that domestic violence is one of the issues that has started to alarm both the global and local communities, because childhood is one of the most important stages of the human development system, which is healthy in terms of physical, mental, psychological and social development. And the importance of the effects of domestic violence on the imbalance in educational achievement and the occurrence of the problem of school delays for primary school children. The aim of the research is to identify: the nature of family violence, its prevailing patterns and its causes in society, and the extent of the relationship between domestic violence and school delays in children in primary school. As well as to make some suggestions and recommendations that can contribute to reducing the phenomenon of domestic violence and get rid of the problem of school delays. The research is determined by the children of the primary stage, because this stage of the process of establishing in the two processes (educational and learning). Violence, family, family violence, child, violence against children, school delays, and late studies are also defined. The second chapter dealt with the theoretical framework dealing with forms of violence against children, psychological disorders and personality disorder, the motives of domestic violence, and studies on domestic violence and its impact on school delays. The third chapter deals with the theories of violence, the basic hypotheses of social learning theory, the theories of growth and its stages, the factors affecting scholastic achievement, and the needs of Maslow and its relationship to helping the child achieve scholastic achievement. Chapter IV examined its findings by linking the results of previous studies with theories of violence and growth. It found that domestic violence does not depend on physical harm. Psychological violence is sometimes more disruptive, leading to delays in children Primary stage. It also addressed some of the recommendations
Secure information transmission over the internet is becoming an important requirement in data communication. These days, authenticity, secrecy, and confidentiality are the most important concerns in securing data communication. For that reason, information hiding methods are used, such as Cryptography, Steganography and Watermarking methods, to secure data transmission, where cryptography method is used to encrypt the information in an unreadable form. At the same time, steganography covers the information within images, audio or video. Finally, watermarking is used to protect information from intruders. This paper proposed a new cryptography method by using thre
... Show MoreThe notion of a Tˉ-pure sub-act and so Tˉ-pure sub-act relative to sub-act are introduced. Some properties of these concepts have been studied.
Merging biometrics with cryptography has become more familiar and a great scientific field was born for researchers. Biometrics adds distinctive property to the security systems, due biometrics is unique and individual features for every person. In this study, a new method is presented for ciphering data based on fingerprint features. This research is done by addressing plaintext message based on positions of extracted minutiae from fingerprint into a generated random text file regardless the size of data. The proposed method can be explained in three scenarios. In the first scenario the message was used inside random text directly at positions of minutiae in the second scenario the message was encrypted with a choosen word before ciphering
... Show MoreVol. 6, Issue 1 (2025)
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Emotion recognition has important applications in human-computer interaction. Various sources such as facial expressions and speech have been considered for interpreting human emotions. The aim of this paper is to develop an emotion recognition system from facial expressions and speech using a hybrid of machine-learning algorithms in order to enhance the overall performance of human computer communication. For facial emotion recognition, a deep convolutional neural network is used for feature extraction and classification, whereas for speech emotion recognition, the zero-crossing rate, mean, standard deviation and mel frequency cepstral coefficient features are extracted. The extracted features are then fed to a random forest classifier. In
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Determining the face of wearing a mask from not wearing a mask from visual data such as video and still, images have been a fascinating research topic in recent decades due to the spread of the Corona pandemic, which has changed the features of the entire world and forced people to wear a mask as a way to prevent the pandemic that has calmed the entire world, and it has played an important role. Intelligent development based on artificial intelligence and computers has a very important role in the issue of safety from the pandemic, as the Topic of face recognition and identifying people who wear the mask or not in the introduction and deep education was the most prominent in this topic. Using deep learning techniques and the YOLO (”You on
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