Human Face Recognition for forensic investigations and e-governance is widely adopted so that the specific face points can be trained and further investigations can be done. In this approach, the key points of human face with the dynamic features are extracted and trained in the deep neural network model so that the intrinsic aspects of the human face can be realized and further can be used for the criminal investigation or social analytics based applications. In this research manuscript, the usage of deep learning based convolutional network is integrated for the human face analytics and recognition for diversified applications. It is done to have the cavernous evaluation patterns in multiple domains for the knowledge discovery and predictive features of the human face identification domain.

The concept Web of Things (WoT) goes well beyond the emphasis on the Internet as a means of sharing data, instead of introducing all resources and connections involving computers, data, and people to the Web. It, therefore, focuses on a range of problems and opportunities, thus paving the way for several exciting industries applications.  In cryptography a range of main characteristics of chaotic systems such as non-linearity, initial condition sensitivity, and mixing properties are available. These characteristics provide an essential connection between cryptography and chaos. GOST block cipher is based on secret key secrecy. However, when the encryption process with the same key is used for plaintext, the same cipher text is created. Message replication can be easily detected by an adversary who is a bad link in every communication. In this paper, propose to use a 5d chaotic system combined with GOST block cipher to create a new secure Web of Things (WoT) cryptography system. The 5D chaotic system was used to generate chaotic random keys used in GOST algorithm to provide proper security with as high hardness randomly enhances the NIST fifteen statistical tests and modifies key schedule as security operations.

The smile detection approach is quite prominent with the face detection and thereby the enormous implementations are prevalent so that the higher degree of accuracy can be achieved. The face smile detection is widely associated to have the forensic of faces of human beings so that the future predictions can be done. In chaos theory, the main strategy is to have the cavernous analytics on the single change and then to predict the actual faces in the analysis. In addition, the integration of Principal Component Analysis (PCA) is integrated to have the predictions with more accuracy. This work proposes to use the analytics on the parallel integration of PCA and chaos theory to enable the face smile and fake identifications to be made possible. The projected work is analyzed using assorted parameters and it has been found that the deep learning integration approach for chaos and PCA is quite important and performance aware in the multiple parameters with the different datasets in evaluations.

One of the most important components of the city is the place, which generates interest in it being the city's basic urban structure, This concern has led to the emergence of a new concept, the placemaking, where the concept of placemaking is not based on the dimensions of physical space, but also focuses on social dimensions and the satisfaction of the population and their wishes and needs, And emerged several trends for the urban placemaking, and because the center of the city of Diwaniya suffers from neglect and deterioration and the migration of activities to the outskirts of the city, Where it is necessary to find a trend that reinvigorates the center, which is the orientation of the vibrant placemaking, which deals exclusively with the centers of cities and combines within it several other directions for the placemaking, The problem of research is reflected in the lack of clarity of the relationship between urban planning and urban design and the assumption that the relationship between design and urban planning is produced through the vibrant placemaking, and in order to determine the relationship and build indicators from the relationship between urban planning and urban design for the vibrant placemaking, The main vocabulary, which has been tested with the tasks and objectives of urban planning and urban design standards to extract the final indicators, which interact as a system and integrated unit, Two quantitative indicators, which are directly measurable and qualitative indicators, measured by the questionnaire, And the most important conclusions and recommendations increase the amount of diversity in activities and intensities and exclusion of inappropriate uses and attention to individuals and buildings heritage and the positive interaction resulting from the establishment of rituals, which creates perception and memory Assembly, Enhancing the spatial character through the human scale, adopting a clear methodology for urban development, preparing detailed plans, raising the functional efficiency of the planning staff, and attracting large investments for the purpose of the vibrant placemaking in the city center of Diwaniyah city.

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