Abstract : Early recognition and analysis of breast cancer can correspondingly be accomplished through mammography, which is the most prevalent, economical and offers high odds of repossession. Nevertheless outstanding to various limitations in mammography, an alternative approach known as infrared breast thermography stays exploited. Infrared breast thermography remains an imaging technology that identifies thermal variations happening in the body. This statistics might indicate the presence of a tumor in the body. The survival rate has improved as a result of early identification using thermography. Because of enhanced blood vessel transmission, metabolic action, radioactivity released as of from human body is sophisticated in areas where a cancer is existing. The thermal statistics is represented as a form of a stained picture, with each exact assortment of temperature characterized by a shade that represents the fluctuations seen across the portion. Heat forms, in the form of graphical element, can be utilized to sort scientific interpretations of breast thermograms. This work aims as an representation for color examination based on segmentation. For breast cancer screening, far-infrared thermography outperforms ultrasonography and mammography for lesions less than 2 cm. It offers equivalent diagnostic accuracy to ultrasound and outperforms mammography for lesions larger than 2 cm in diameter..
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Abstract : Edge coded signaling (ECS) is a type of signaling used in communication systems where information is transmitted by changes in the signals edges or transitions. Similarly, the receiver operation based on edge coded signaling involves detecting these changes in the received signal and decoding them to retrieve the transmitted information. To address data rate and power losses in IOT devices, dynamic edge-coded signaling methodology is used to verify the 16-bit receiver design. A Decoder, Edge detector, Counter and Finite state machine are the main fundamental components of the ECS receiver architecture. The functionality of the receiver is demonstrated to 16 bits and is compared against different schemes at the different design metrics. The proposed ECS receiver which includes all subblocks of the design consumes 1468nWof power with the ideal supply voltage of 1.5 V for all IoT devices..
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Abstract : Hardware, software, and the recent technologies have resulted in the interconnection of sensory devices providing large amount of data. The internet conncected devices are bound to grow in time. This Internet of Things (IoT) extended in various applications like agriculture, transportation, medical, education etc is generating big data. These IoT devices are less immune to malicious network traffic and attacks. Implementation of security measures like encryption, authentication etc are seeming insufficient. Even though many efforts have been put in to produce master datasets which includes all possible attacks on IoT devices, it is still observed that many attacks are unexplored. This paper aims to validate one of the large scale, real time dataset CICIoT2023 generated using 105 devices consisting of seven types of attacks in addition to benign data. Applying machine learning algorithms such as SVM, KNN, Decision Tree, MLP and RF showcases significant improvements when the number of classes considered is 6 compared to other conventional classifications with 8 classes. Accuracy, F-Measure, precision are used as performance parameters to evaluate the dataset using machine learning algorithms..
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Abstract : Interest in the topic of neighborhood change and transformation began around the twentieth century, to study the phenomenon of change and decay of neighborhoods. The main objective of this paper is to understand and analyze the manifestations, and dynamics of the morphology of areas with unique values in Cairo city and the different demographic, social, economic, political, and management forces guiding that transformation. The study analyzes the urban morphology of Heliopolis, Cairo including layout and land use, densities, heights, streets and transportation network, urban open space, and architectural heritage. Research methods include a field survey, photography, and official reports and documents verifying the neighbor's history. Results show that the most transformed elements of urban form are land use, Architecture and urban heritage, and Building heights and Densities, while urban policies/regulations, Economic/market as well as administration are the driving forces behind that transformation. This study helps urban planners and decision-makers to comprehend factors impacting the transformation and decay of our heritage neighborhoods..
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Abstract : Asphaltene deposition in a reservoir or a production tubing is a formation damage issue that could occur at the primary recovery of the oil reservoir. The problem leads to a decline in oil production, which also occurs in high gas oil ratio (GOR) wells H-01, H-02, and H-03 of the HPS Field. An advanced coiled tubing asphaltene inhibitor (AI) squeeze program was designed to solve the problem. This paper is focused on evaluating the success of the AI program in delaying scale deposition and increasing oil production. The methodology of this paper begins with data preparation on production performance data, well data, reservoir fluid data, and the AI program data. The remaining reserve evaluation is done to make sure the AI program will provide an optimal result in the gain production. The asphaltene problem identification was carried out by evaluating the production performance and the fluid sample analysis of the gauge cutter slickline. The evaluation of the success of the asphaltene inhibitor program is reviewed from two aspects: technical (asphaltene deposition removal) and production (increasing oil production). The main results shows that the AI program in wells H-01, H-02, and H-03 of the HPS Field has successfully removed asphaltene deposition and increased the oil production with an average 72.02% improvement on decline rate and the average 5.09 on oil rate fold of increase (FOI)..
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