Face recognition with variation in pose angle using face graphs

Automatic recognition of human faces is an important and growing field. Several real-world applications have started to rely on the accuracy of computer-based face recognition systems for their own performance in terms of efficiency, safety and reliability. Many algorithms have already been established in terms of frontal face recognition, where the person to be recognized is looking directly at the camera. More recently, methods for non-frontal face recognition have been proposed. These include work related to 3D rigid face models, component-based 3D morphable models, eigenfaces and elastic bunched graph matching (EBGM). This thesis extends recognition algorithm based on EBGM to establish better face recognition across pose variation. Facial features are localized using active shape models and face recognition is based on elastic bunch graph matching. Recognition is performed by comparing feature descriptors based on Gabor wavelets for various orientations and scales, called jets. Two novel recognition schemes, feature weighting and jet-mapping, are proposed for improved performance of the base scheme, and a combination of the two schemes is considered as a further enhancement. The improvements in performance have been evaluated by studying recognition rates on an existing database and comparing the results with the base recognition scheme over which the schemes have been developed. Improvement of up to 20% has been observed for face pose variation as large as 45°

ON JUST, JUSTICE AND DISTRIBUTIVE JUSTICE: A CRITICAL AND COMPARATIVE DISCOURSE

Despite being endlessly debated, a unanimous impetus on the nature of just, justice, and distributive justice appears entirely untouched to the desirable scientific certainty so far. Aristotle asserts treating’ equals equally and un-equals unequally’ but in proportion to their relevant differences. John Rawls says 'justice as fairness.' To both Aristotle and John Rawls, justice meant for the good and a willingness to act by the laws to ensure the highest good of society. Antecedently, both agree that justice is a master imperative for good human relationships and coexistence. However, despite the universal agreement, they differ in many fundamental respects. Aristotle denies the outbound distribution of an individual's rights as only the head of the family has the right to free speech in the family. But, Rawls distributes each right to the individual level. The paper attempts to discuss the similarities and dissimilarities in Aristotle's and John Rawls'ideas of just, justice and distributive justice. It has been argued that the aim of both philosophers was the same, i.e., to find out a theory of justice through which unity, harmony, virtue, and happiness can be attained to the fullest in a nation.        &nbsp

THE CONCEPT OF JUSTICE IN REFERENCE WITH PHILOSOPHIES OF PLATO AND ARISTOTLE: A CRITICAL STUDY

The concept of justice has been a constant issue since its conception. The Greeks also attempted to define justice. They have observed justice as goodness in deeds and so a virtue. In the Greek mind, fairness was an attribute of the spirit or soul, while injustice was a sin. Both Plato and Aristotle defined justice as kindness as well as a desire to follow the law. It alluded to the connection between rights and duties. In human interactions, justice was the pinnacle of excellence and the attitude that animates folks in the right fulfillment of their responsibilities. The development of harmony and peace in thinking and conduct was pre-eminently social. In the same way, Aristotle's and Plato's fairness are complementary; both philosophers seek to discover a concept of ability by which unity, harmony, virtue, and pleasure may be produced in a community. Despite this shared agreement, they are fundamentally different in many ways. In this paper, an attempt has been made by the author to discuss the similarities and dissimilarities in theories of justice propounded by Plato and Aristotle

Abdominal catastrophe secondary to paraduodenal hernia

An Internal hernia is a protrusion of abdominal viscera through the opening in the peritoneum or mesentery. We report the case of a left paraduodenal hernia (LPDH) combined with a small bowel obstruction in a 50-years-old male with pain abdomen and vomiting and no previous abdominal surgeries. An anteroposterior abdominal radiograph showed a clustered small bowel loops towards the left side of the abdomen and few air-fluid levels suggestive of obstruction. CECT abdomen showed a focal crowding of small bowel loops noted in the left anterior pararenal space with crowding of mesenteric vasculature and displacement of ascending left colic artery and inferior mesenteric vein anteriorly. The surgical intervention provided definitive diagnosis and treatment for LPDH. A paraduodenal hernia is a relatively rare cause of acute abdomen, and its diagnosis is often incorrect or delayed owing to its variable clinical manifestations. Therefore, it is important for the clinicians to recognize this condition, diagnose it early, and avoid making a wrong diagnosisowing to its high overall mortality rate

The Conditional Analysis of Principals Bullying Teachers Reasons in The Surroundings of The City

Centered on teachers intimidation by officials, this paper (a) discusses how management incompetence favors their emergence, (b) how teachers can see it, and (c) whether or not this issue impairs teacher success. Empirical findings indicate that teacher efficiency improves with inspiration, a good environment, and not bullied or upset by principals. The results suggest that the principal cause to be blamed is the teachers negligence. Teacher teamwork will play a part in curbing this violence. Take the time and position constraints into account for the analysis, where 15 hours of monitoring may not be enough time to analyze this kind. Furthermore, qualitative research was conducted in and out of Beirut classrooms. As a consequence, the findings of this study are generalized in the surroundings of the city

Multi-Parameter Sensor Based Automation Farming

IOT innovation is used in the development of the Smart Farming Tracking the System. An Arduino Uno, a temperature humidity sensor, soil moisture sensor, water level sensor, water pumps, and DC motors strength this system. If the smart farming tracking system turns on, the sensors find the field’s water level and the soil’s moisture level. If the irrigation water stage falls below the level defined for a specific crop grown in the growing area, the irrigation system is going to start to pump water. The IOT warns concerning current level of water, soil moisture stage, and motor beginning will be shown on the LCD panel of the section. We are able to use the pumps by hand via a webpage. The farmers are additionally getting this data via mobile phone. By hitting a system- provided link, the individual using it may firmly prevent the water’s flow within the field. While carried out, the system will assist landowners to preserve suitable soil water and moisture levels, thus boosting yields with little work. The goal of this article is to identify grow illnesses and reduce losses in money. For picture appeal, we suggested an entirely based on deep learning method. We put the three most common Neural Network Designs to the test: Faster Region-based entirely judgment (SVM)Support Vector Machine Region-based entirely (RF) Random Forest method. The method suggested in the research can correctly detect many types of disease and is capable of dealing in complicated situations. In addition, the method may be expanded to recommend fertilizer according to extent evaluation as well as measurement. artificial intelligence (AI) entirely Machine Learning Response to this the combination the issue is a supervised categorization judgment

Pilot-assist source separation

A challenging problem in current hearing aid technology is source separation of a desired acoustic signal from an unwanted acoustic signal, such as speech, noise, and reverberations. Currently, the approach of blind-source separation, which does not utilize any information about the acoustic path between a speaker and a microphone, runs into difficulty when separating out the desired acoustic signal from the audio mixture when the room is reverberant. To circumvent this issue, the approach that we use is to aid the microphone array system in beamforming through the use of a pilot signal or so-called ‘beacon.’ The beacon is an audible-range or ultrasonic-range acoustic pilot signal that would be placed near the desired acoustic source. It would provide the needed acoustic path information - in the form of an acoustic impulse response - which would help a beamformer, along with the second-order statistics of the interference signals, to separate out the desired acoustic signal and increase its signal-to-noise ratio. Multiple lengths and frequency ranges of pilot signals are tested to determine the most useful pilot signal in a human environment.U of I Onlyundergraduate senior thesis not recommended for open acces

Pilot-assist source separation

A challenging problem in current hearing aid technology is source separation of a desired acoustic signal from an unwanted acoustic signal, such as speech, noise, and reverberations. Currently, the approach of blind-source separation, which does not utilize any information about the acoustic path between a speaker and a microphone, runs into difficulty when separating out the desired acoustic signal from the audio mixture when the room is reverberant. To circumvent this issue, the approach that we use is to aid the microphone array system in beamforming through the use of a pilot signal or so-called ‘beacon.’ The beacon is an audible-range or ultrasonic-range acoustic pilot signal that would be placed near the desired acoustic source. It would provide the needed acoustic path information - in the form of an acoustic impulse response - which would help a beamformer, along with the second-order statistics of the interference signals, to separate out the desired acoustic signal and increase its signal-to-noise ratio. Multiple lengths and frequency ranges of pilot signals are tested to determine the most useful pilot signal in a human environment.U of I Onlyundergraduate senior thesis not recommended for open acces