The healthcare industry is constantly changing because of technological breakthroughs that spur new methods of diagnosing and treating illnesses. This study investigates the development of Ion ...Sensitive Field Effect Transistor (ISFET) sensors for DNA-based blood cancer diagnosis. This work presents the design of a two-dimensional ion-sensitive field-effect transistor. Concentration fluctuations and transfer characteristics with different oxides are studied using blood from two electrolyte solutions. It is possible to evaluate how the modeled device can be utilized as a pH sensor or a biosensor in healthcare applications by looking at how the pH changes for different oxides. Additionally, several oxides were examined in the simulated ISFET devices' output characteristics. Blood is the electrolyte to study the device's sensitivity for different oxides. When pH 7.4 is considered, SiO 2 oxide is significantly more sensitive than other oxides. The resulting 2D-ISFET exhibits remarkable blood electrolyte sensitivity and holds potential as a quick detection tool for blood cancer. The results show that the ISFET possesses drain-induced barrier lowering (DIBL), greater ON-current (I ON ) and switching ratio ( I ON /I OFF ), and decreased subthreshold swing (SS). The pH sensor's sensitivity and the suggested equipment can detect up to 30 fg/mL of blood cancer biomarkers. An important development in technology-driven healthcare is the emergence of DNA-based blood cancer detection utilizing ISFET sensors. This opens up new avenues for improving cancer diagnosis and patient outcomes.
The basic operation involved in any analog, digital, control system, DSP’s is addition. Performance and reliability of almost every digital system is depends on performance of adder. Over the decade, ...many adder architectures are proposed and still research work is going on adder to obtain the best results in power, delay and power delay product (PDP). In this paper we proposed one of the fastest adder architecture called Carry Select adder (CSA) and optimization is done for performance parameters like delay and power using GDI (Gate Diffused Input) and MTCMOS techniques. Implementation has been done in standard gpdk 90nm technology using Cadence tool.
Purpose
The unexpected epidemic of the latest coronavirus in 2019, known as COVID-19 by the Globe, a number of governments worldwide have been put in a vulnerable situation by the World Health ...Organization. The effect of the COVID-19 outbreak, previously experienced by China’s citizens alone, has now become more pronounced. For practically every nation in the world, this is a matter of grave concern. The lack of assets to withstand the infection of COVID-19, mixed with the perception of overwhelmed medical mechanisms, pressured a number of places in a state of partial or absolute lockdown.
Design/methodology/approach
The medical photos such as computed tomography (CT) and X-ray playa key role in the worldwide battle against COVID-19, while artificial intelligence (AI) has recently appeared. The power of imaging is further increased by technology tools and support for medical specialists. In comparison to the related direct health effects because of the COVID-19 disaster, this research identifies its impacts on the overall society.
Findings
This paper hereby examines the rapid answers in the medical imaging community toward COVID-19 (empowered by AI). For example, the acquisition of AI-empowered images will significantly assist automate the scanning process and reshape the procedure as well. AI, too, may improve the quality of the job by correctly delineating X-ray and CT image infections, promoting subsequent infections, quantification. In addition, computer-aided platforms support radiologists make medical choices, i.e. for illness tracking, diagnosis and prognosis.
Originality/value
This research encompasses the whole medical imaging pipeline and methods for research related to COVID-19, include a collection of images, segmentation, diagnosis and monitoring. In drawing stuff to minimize the effects of the COVID-19 epidemic, this paper is investigating the use of technologies such as the internet of things, unmanned aerial vehicles, blockchain, AI, big data and 5G.
The power consumption, area on chip and signal accuracy plays a vital role in designing any sensor system. The output of the sensor system is often weak differential signals along with unwanted ...signals. The Instrumentation amplifier which has good CMRR amplifies the weak signals by eliminating the common mode voltages and has low power consumption. This paper proposes a new method for ultra-low power consumption. It explores the designing of Instrumentation amplifier based on Differential Difference Amplifier in Sigma Delta converter. The non-tailed bulk driven differential pairs circuits with positive feedback in Instrumentation amplifier has been used for ultra-low power consumption. The Instrumentation amplifier as an input structure for sigma delta convertor exhibits high input impedance and linearity. These properties made the direct use of sensor elements on converters without use of front end circuitry. The proposed work is simulated by using 180 nm CMOS process and the results will be compared with the conventional methods.
The search efficiency of in-memory databases depends significantly on how quickly DRAM data can be obtained. With an increasing multiple core on processors, it is more difficult to satisfy the ...requirement that all attached DRAM on a processor is equally accessible to any core. Intel has therefore implemented a Sub-NUMA Clustering (SNC) mode on Skylake, which subdivides cores and memories into various sub for enhanced core-to-memory access within each processor sub-domain. Similar modes are given by other models. When an in-memory database shares data between staff on cores in separate sub-domains, the use of SNC creates problems in how to manage database workloads among domains. In this research, we verify the effect of SNC specifically on Intel Skylake on memory latency and bandwidth. We conclude that two similarly broad analytical workloads are focused on different and fully independent sub-domains just up to 3 percent will improve query throughput and be totally isolated from each other. Often, as memory bandwidth is split into sub-domains rather than aggregated across the entire processor, bandwidth-sensitive analytical workloads significantly reduce application performance if data is not split equally among sub-domains.
Serverless Computing has become more common by providing lower costs, better elasticity and enhanced usability. Taken as a consequence that resource restrained infrastructure requires efficient ...low-latent calculations, it also becomes a common execution model for edge computing. However, the cloud mitigation of hyper scale in the cold start server is not scaled to small 10-100kW edge sites, resulting in weak threshold latencies for edge deployments of existing VMs and containers. This is particularly acute since latency requirements are expected to range from micro seconds to seconds in future edge computing workloads. SledgeEDF is the first time that the serverless execution paradigm applies conventional real- time admittance management systems and time-driven scheduling techniques.
Purpose
For the first time in a decade, a new form of pneumonia virus, coronavirus, COVID-19, appeared in Wuhan, China. To date, it has affected millions of people, killed thousands and resulted in ...thousands of deaths around the world. To stop the spread of this virus, isolate the infected people. Computed tomography (CT) imaging is very accurate in revealing the details of the lungs and allows oncologists to detect COVID. However, the analysis of CT scans, which can include hundreds of images, may cause delays in hospitals. The use of artificial intelligence (AI) in radiology could help to COVID-19-positive cancer in this manner is the main purpose of the work.
Design/methodology/approach
CT scans are a medical imaging procedure that gives a three-dimensional (3D) representation of the lungs for clinical purposes. The volumetric 3D data sets can be regarded as axial, coronal and transverse data sets. By using AI, we can diagnose the virus presence.
Findings
The paper discusses the use of an AI for COVID-19, and CT classification issue and vaccination details of COVID-19 have been detailed in this paper.
Originality/value
Originality of the work is, all the data can be collected genuinely and did research work doneown methodology.
The ion-sensitive field-effect transistor (ISFET) is one of the most sensitive and adaptable sensors available, and it may be employed in modern complementary metal-oxide semiconductor (CMOS) ...techniques. As a result of its tiny size, low power consumption, and compatibility with industry-standard complementary metal oxide semiconductor (CMOS) technologies, potentiometric sensors like ISFETs are gaining appeal among sensor scientists and industrialists. These past decades have been broken down into three distinct time periods, which is described in detail in this paper to give an overview of what has been accomplished in the field over this. This work, briefly reviews about history, characteristic of the ISFET, and further discussion is performed about vivid applications of the ISFET.
Steganography is a means of secretly concealing information in which the act of steganography itself is hidden in plain sight. Steganography is also known as "stealth writing." Steganography is not a ...suitable replacement for cryptography; nevertheless, it can be used in conjunction with cryptography to further strengthen the information hiding mechanism. Steganography is not a good replacement for cryptography. The cover media for a steganographic method can be anything that can be represented digitally, such as a text file, image, audio file, video file, Transmission Control Protocol/Internet Protocol packet, or any other entity. Steganography can be used to hide information in these and other formats. First, the Robust Multitier Spatial Domain Secured Color Image Steganography in Server Environment (MSS-SE) approach is created as part of an effort to lower the possibility of compromising confidential communications. MSS-SE steganography methods, rather than transmitting the original picture from the server, send a randomized mix of a cover image and a confused image from the same server. This is done in place of delivering the original image. A unique approach that is based on deep hierarchical spectral spatial feature fusion has been developed by us in order to improve the classification of HSIs (DHSSFF). The pooling method, which is considered by CNN to be one of the most important regularization procedures, has been the primary focus of our attention prior to the construction of the model. Following an examination of the relevant published material, we have reached the conclusion that a wide variety of pooling algorithms have been applied to carry out fruitful analyses of remote sensing data.
PDF
