Deep Learning Technique for Image Classification by Segmentation

Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems. Digital image processing allows the use of much more complex algorithms, and hence, can offer both more sophisticated performance at simple tasks, and the implementation of methods that would be impossible by analogue means. In particular, digital image processing is a concrete application of, and a practical technology based on classification, localization, feature extraction and segmentation. The main objective is to understand the following challenges and identify a solution

Vertical III-V Nanowire Transistors for Low-Power Electronics

Power dissipation has been the major challenge in the downscaling of transistor technology. Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs) have struggled to keep a low power consumption while still maintaining a high performance due to the low carrier mobilities of Si but also due to their inherent minimum inverse subthreshold slope (S ≥ 60 mV/dec) which is limited by thermionic emission. This thesis work studied the capabilities and limitations of III-V based vertical nanowire n-type Tunneling Field-Effect Transistor (TFET) and p-type MOSFET (PMOS). InAs/InGaAsSb/GaSb heterojunction was employed in the whole study. The main focus was to understand the influence of the device fabrication processes and the structural factors of the nanowires such as band alignment, composition and doping on the electrical performance of the TFET. Optimizations of the device processes including spacer technology improvement, Equivalent Oxide Thickness (EOT) downscaling, and gate underlap/overlap were explored utilizing structural characterizations. Systematic fine tuning of the band alignment of the tunnel junction resultedin achieving the best performing sub-40 mV/dec TFETs with S = 32 mV/decand ION = 4μA/μm for IOFF = 1 nA/μm at VDS = 0.3 V. The suitability of employing TFET for electronic applications at cryogenic temperatures has been explored utilizing experimental device data. The impact of the choice of heterostructure and dopant incorporation were investigated to identify the optimum operating temperature and voltage in different temperature regimes. A novel gate last process self-aligning the gate and drain contacts to the intrinsic and doped segments, respectively was developed for vertical InGaAsSb-GaAsSb core-shell nanowire transistors leading to the first sub-100 mV/dec PMOS with S = 75 mV/dec, significant ION/ IOFF = 104 and IMIN < 1 nA/μm at VDS = -0.5 V

The Community of Community Organizing

This presentation outlines my experience at my internship with OneNorthside over the course of the 2122 academic year, including what the organization does and what I have learnt

Study of subcutaneous pressure in cellulitis of the leg and Its correlation to the management

OBJECTIVE: To correlate the subcutaneous pressure with surgical intervention in cellulitis of the leg. METHODS: An observational study with a sample size of 28 patients with cellulitis of the leg affecting one side. The subcutaneous pressure was measured in normal and cellulitic leg in recruited patients. The subcutaneous pressure was correlated to the management. Statistical analysis was done to find out the correlation between the increase in subcutaneous pressure and surgical intervention in cellulitis of the leg. RESULTS: The increase in subcutaneous pressure in cellulitic leg in group of patients who underwent surgery when compared to the group of patients who were managed conservatively was statistically significant. CONCLUSION: From this study, it is proven that the subcutaneous pressure is increased in cellulitic leg. The increase in subcutaneous pressure is associated with more local complications. The patients with high subcutaneous pressure were treated with surgical intervention on the same day of admission or later due to failure of conservative management. So the surgical intervention in cellulitis of the leg is correlating with increased subcutaneous pressure in cellulitis of the leg

Custom Deep Learning Model for the Diagnosis of Cervical Carcinoma

Cancer is the second most common cause of death in the majority of the world due to late diagnosis. Most cancer cases are typically discovered at an advanced stage, which lowers the likelihood of recovery because proper therapy cannot be given at that time. In particular, for incurable cancers, which may result in a reduced life expectancy due to the rapid progression of the disease, the sooner cancer is identified, the more effective the therapy may be. Early detection also lessens the financial effects of cancer because treatment in the early stages is much cheaper than treatment in later stages.The method suggested is an end-to-end deep learning method in which the input photos are sent directly to the deep model, which makes the decision. The proposed Ensemble of deep learning modelIV3-DCNN to detect cancer in pap-test images. The model's precision, FScore, Specificity, Sensitivity, and accuracy of 99.4%, 99.23, 95.48, 97.9, and 99.2%. Last but not least, the suggested strategy would be very beneficial and successful, especially in low-income nations where referral mechanisms for patients with suspected cancer are frequently lacking, resulting in delayed and fragmented care

GEO based Adaptive Dynamic Key Generation Scheme for Speck-R in IoT Applications

By integrating lightweight properties with lightweight cryptography in Intenet of Things (IoT) applications, information confidentiality and dependability can be guaranteed. In order to cut down on the number of rounds and speed up execution, a dynamic key-substitution layer was included to the original Speck's structure to create the ultra-lightweight encryption algorithm Speck-R.In this paper, we propose to design Golden Eagle Optimizer (GEO) based adaptive dynamic key generation scheme for Speck-R. In this algorithm, the block size and key size are adaptively chosen based on the IoT application and data size. Then the dynamic key (DK) is generated using GEO algorithm in which a fitness function is derived in terms of the metrics LPF, DPF and BIC.&nbsp; Then the key with optimum fitness is chosen as the dynamic key for further encryption /decryption process of Speck-R. By simulation results, we show that the proposed technique enhances the security

Ontology Based Public Healthcare System in Internet of Things (IoT)

AbstractInternet of Things is a growing technology that is predicted to discover new drugs and medical treatments. The efficiency and quality of healthcare have high potential features as flexibility, adaptability, affinity, cost shrinkage, and high speed. This technology helps us to understand the specific risks related to security and privacy. This paper targets on a Healthcare information system based on ontology method. In particular, security and privacy challenges are analyzed in the proposed Ontology-based healthcare information system. Emergency medical services (EMS) are a type of emergency service dedicated to providing out-of-hospital acute medical care, transport to definitive care. Moreover, a functional infrastructure plan is provided to exhibit the unification between the proposed application architecture with the Internet of Things and ontology hierarchy

EFFECT OF ANTI-BIOFILM POTENTIAL OF DIFFERENT MEDICINAL PLANTS: REVIEW

Medicinal plant products are the natural products which have been very useful for human to cure various ailments and as an alternative medicine for conventional therapy. However, bacteria in natural environments are mainly exist in biofilm formation and are more susceptible to cause severe infections than the planktonic counterparts. Biofilm is associated with impaired epithelization and granulation tissue formation and also promotes a low-grade inflammatory response that interferes with wound healing. Since the infection caused by biofilm is often very difficult to treat, there is a need to find a new active anti-biofilm agent. In recent past, interest in the therapeutic and nutritional properties of various medicinal plants and its natural phytochemical compounds which have established for their anti-biofilm activities has been increased gradually. In this review, we have described various aerial parts of medicinal plants which have anti-biofilm effect which was evaluated against biofilm producing different bacterial pathogens and antimicrobial agents which are responsible to cure wound healing.Keywords: Medicinal plants, Phytochemical, Anti-biofilm activity