Asian Journal of Convergence in Technology
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MRI Image Based Relatable Pixel Extraction with Image Segmentation for Brain Tumor Cell Detection Using Deep Learning Model
Get PDFBiomedical technology now plays a critical role in the detection and treatment of a wide range of diseases, from minor to life-threatening. One of the most life-threatening disorders is brain tumour, which is defined as a mass development of abnormal cells in the brain. By avoiding the spread of aberrant cells, early discovery and treatment can save a person's life. In the medical field, it is vital to find a certain image categorization strategy based on tumor cell regions. The tumor region is then selected to perform the segmentation process and then classification is performed. The identification-based method helps to limit the image area and to identify the border area in a reduced time period. Automatic brain tumor classification is a difficult undertaking due to the enormous geographical and structural heterogeneity of the brain tumor's surrounding environment. The use of Deep Neural Networks classification for automatic brain tumor detection is proposed. The proposed a Relatable Pixel Extraction with Magnetic Resonance Imaging (MRI) Image Segmentation for Brain Tumor Cell Detection (RPEIS-BTCD) using Deep Learning Model. The proposed model is compared with the existing models and the results indicate that the proposed model performance the accuracy is 97%
Detection and prevention of Phishing Attacks
Get PDFPhishing is one amongst the main issues visaged by cyber-world and ends up in monetary losses for each industries and people. Detection of phishing attack with high accuracy has forever been a difficult issue. At present, visual similarities-based techniques square measure terribly helpful for police work phishing websites expeditiously. Phishing web site appearance terribly similar in look to its corresponding legitimate web site to deceive users into basic cognitive process that they are browsing the right web site. Visual similarity primarily based phishing detection techniques utilize the feature set like text content, text format, HTML tags, Cascading sheet (CSS), image, then forth, to form the choice. These approaches compare the suspicious web site with the corresponding legitimate web site by victimisation numerous options and if the similarity is larger than the predefined threshold price then it is declared phishing [2]
Development of Incubation System for Premature Baby Care
Get PDFThe proposed work is focused at development of Incubation system for premature Baby Monitoring System based on the IoT. A prototype is developed which gives a reliable and efficient baby monitoring system that can play a vital role in providing better infant care. The system monitors vital parameters such as temperature, pulse rate, moisture condition and weight of the baby. This information can be accessed by their parents and doctors with alarm triggering system to initiate the proper control actions through IoT based Mobile application
Simulation of Drainage cleaning Robotics system using solid work Tinkercad software
Get PDFIn this paper we are designing simulation using tinkercad solid work software for simulation. In simulation we used pulse width modulation (PWM) to provide very smooth action and speed varieties .for PWM pulse we used ATmega2560 microcontroller.
In this design we used robotic system which can reduce the complex mechanism for cleaning the manhole.it will give a clear understanding of the manipulator and its subsystem interactions
3D PCB Designing of Protecting Circuit Using Fusion 360
Get PDFEvery electronics equipment is manufactured with a single or multiple number of Printed Circuit Boards (PCB). The PCBs hold the ICs and other components and implement the interconnections between them. Compact devices can be manufactured by using 3D PCB design. Even though lot of software’s available for 3D PCB design, Fusion 360 has unique merits like ease of design procedure, compact size, applicable to all size PCBs etc., In this paper step by step procedure to design a 3D model PCB layout for a protecting circuit using Fusion 360 software is discussed. This model can be used to design the complete product in a Computer Aided Design (CAD) software
Advanced Keylogger- A Stealthy Malware for Computer Monitoring
Get PDFModern society is far more dependent on electronic devices than the previous generations. This dependency has both pros and cons. Although the list of pros is endless, they can easily be outweighed by one con which is being vulnerable to malicious programs. Keylogger is one such malware. Earlier, the prime focus was just limited to recording keystrokes made by a user but now are known for incorporating a multitude of features. Keyloggers are used to steal confidential information covertly and their detection is not quite simple since they execute completely in stealth mode. In this exposition, an advanced software keylogger is proposed which is compared with the existing keyloggers based on two criteria, first being the number of features incorporated and second, the CPU usage while the keylogger is being executed. The evaluation posits that the proposed keylogger contains more features with keeping the CPU usage to a minimum hence making it difficult to be detected by the user
Development of gravitational acceleration measurement set up based on laser beams
Get PDFIn this paper, using three parallel laser beams system we have calculated the value of gravitational acceleration (g) by deriving a simple equation, where there is no velocity term, is reported. The numerator of the equation is always positive irrespective of distances. The setup consists of commonly available three red laser light-emitting diodes and three sensors using very common fast transistors. A free-fall object intercepts the laser beams to produce three voltage pulses across the collector-emitters of three transistors. These voltage pulses are fed to a storage oscilloscope for measuring the two time-intervals between two subsequent gaps of three laser beams with millisecond resolutions. Time intervals are also measured by two-microsecond timers in microsecond resolution. The object may fall from any height above first laser beam, but the 'g' calculated remains the same. Measurements were done by letting an object fall from two different heights, six times from each height, and the average value of 'g' of 9.8036916315 meters per second squared is calculated using the data of two-microsecond timers, which has a 0.03% deviation from the standard value of 9.80665 meters per second squared. Results obtained using microsecond timers are more accurate than that obtained using oscilloscope millisecond data
Early prediction of heart disease using the most significant features of diabetes by machine learning techniques
Get PDFMedical science is witnessing high levels of specialization with doctors specializing in specific areas, say, heart disease (HD), diabetes, nephrology, and the like. In the process, patients have to make multiple visits for treatment of simultaneous ailments. Studies show that there is overlap in causes of different diseases. One such co-existence is observed in patients with diabetes suffering from HD too. In many cases, one precedes the other. Hence, it is worth diagnosing that a patient having a particular ailment is likely to develop another. Artificial Intelligence and machine learning methods are widely used in healthcare. There are few references to such work using data mining approaches. HD is a primary cause of death worldwide. Studies show that diabetes patients also have HD. This paper aims to identify the association and common risk factors between diabetes and HD - this finding aid in anticipating the HD of a diabetic patient. The authors use proven data mining approaches - logistics regression, decision tree, and random forest to arrive at the most accurate results. The validation is done using unsupervised method: K-means Clustering. The initial investigation demonstrates that body-mass-index (BMI) and age are among the key risk factors for diabetes; and smoking habit, age, gender-male and diabetes (glucose level) lead to HD. 31% of diabetic patients had HD
ECONOMIC GLOBALIZATION AND THE PROBLEM OF ACHIEVING ARAB ECONOMIC INTEGRATION
Get PDFBy describing economic globalization as a contemporary phenomenon that has its historical roots, mechanisms and effects on various economies in the world, especially through capital and direct investments using transcontinental companies, and the need of developing countries, including Arab ones, for these capital and investments, it becomes difficult to block the entry points of this globalization into economic projects in various World countries, including the Arab economic integration project. This integration faces internal challenges just as it faces external challenges, including the challenge of economic globalization
Artificial Intelligence in the fight against Covid-19
Get PDFAs of late July 2020, COVID-19 has been creating havoc for more than seven months and has infected more than 16 million people and almost 650K fatalities. The IMF has predicted that the global economy will shrink by almost 3 percent in 2020. Over the past few years with the increase of available data and drastically more compute power, Artificial Intelligence (AI) has been helping and improving in all fields. The current COVID-19 pandemic poses a number of challenges. Researchers and scientists are using Artificial Intelligence (AI) to combat those problems that previously weren’t possible using traditional technology and manpower. This paper presents an overview on a number of Artificial Intelligence (AI) applications in various fields. We touch on fields ranging from tracking, prediction, diagnosis, natural language processing and cure