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My Journeys through Healings: Memories of a Cancer Survivor

My Journeys through Healings: Memories of a Cancer Survivor

Col Dr M. Mohan Kumar

Notion Press, Inc
2016
nidottu
My Journeys through Healings is an incredible story of a soldier's battles against triple maladies, starting with cancer. Imagine if all of a sudden, the harmless polyps in the colon of a heart patient, who had undergone bypass surgery, turned out to be deadly cancer Between possible death on the operation table and the consequences of a growing malignancy, the patient is left with no choice. Here he is now, minus nine inches of his colon, to tell his story. My Journeys through Healings is a heart-warming, wonderfully sensitive and fascinating narration of hope, recovery and self-discovery that grips, inspires and enriches the reader.
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Assessment of Electrical Power Trans. System -Reliability Paradigam

Assessment of Electrical Power Trans. System -Reliability Paradigam

N M G Kumar; S Farook; Srinivas Kavaturi

LAP Lambert Academic Publishing
2019
pokkari
Power system reliability indices play a major role in the planning and productivity performance operation of the polluted power system network. This is also a subject which has gained importance in the recent past, due to its robust activities in environmental conditions, because of the several interruptions, disturbances that take place in general operations. This disturbance could be of many types, like line outage, sudden loss of synchronism, abnormal operation, etc. The effective and efficient operation need to be developed for on-line monitoring at an earliest possible time. In view of the above adequate discussion and the applicable literature reviewed on power system reliability, the reliability evaluation of electric transmission systems mainly depend on three factors, such as, evaluation of bulk power system reliability indices, EHT AC sub-station reliability indices assessment and computation of distribution system reliability indices. Computation of these indices indicates the degree of reliability for the partial power system. Hence, the reliability examination is a well documented piece in the system risk and security studies.
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Reconhecimento das Emoções Faciais usando Convolutional Neural Network

Reconhecimento das Emoções Faciais usando Convolutional Neural Network

Dr M Aravind Kumar; M Chilakaiah; N L Tejaswini

Edicoes Nosso Conhecimento
2023
pokkari
Este livro resume o reconhecimento da express o facial e identifica a emo o a partir de uma imagem facial, uma manifesta o da actividade e da personalidade de um humano. No s culo XX, o psic logo americano Ekman e Friesen definiu seis emo es b sicas (raiva, medo, repugn ncia, tristeza, surpresa e felicidade), que s o as mesmas entre culturas. O reconhecimento da express o facial trouxe muita aten o nos ltimos anos devido ao seu impacto na pr tica cl nica, rob tica social, e educa o. Segundo diversas investiga es, a emo o desempenha um papel importante na educa o. apresent mos um modelo Convolutional Neural Network para o reconhecimento da express o facial dos estudantes .O modelo proposto inclui 4 camadas convolutivas, 4 camadas max-pooling, e 2 camadas totalmente conectadas. O sistema reconhece rostos a partir de imagens de entrada dos estudantes usando um detector do tipo Haar e classifica-os em sete express es faciais: surpresa, medo, repugn ncia, tristeza, alegria, raiva, e neutralidade.
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Erkennung von Gesichtsemotionen mit Hilfe eines neuronalen Faltungsnetzwerks

Erkennung von Gesichtsemotionen mit Hilfe eines neuronalen Faltungsnetzwerks

Dr M Aravind Kumar; M Chilakaiah; N L Tejaswini

Verlag Unser Wissen
2023
pokkari
Dieses Buch fasst die Erkennung von Gesichtsausdr cken und die Identifizierung von Emotionen anhand eines Gesichtsbildes zusammen, das Ausdruck der Aktivit t und Pers nlichkeit eines Menschen ist. Im 20. Jahrhundert definierten die amerikanischen Psychologen Ekman und Friesen sechs grundlegende Emotionen (Wut, Angst, Ekel, Traurigkeit, berraschung und Gl ck), die in allen Kulturen gleich sind. Die Erkennung von Gesichtsausdr cken hat in den letzten Jahren aufgrund ihrer Auswirkungen auf die klinische Praxis, die Sozialrobotik und die Bildung viel Aufmerksamkeit auf sich gezogen . Verschiedenen Forschungsergebnissen zufolge spielen Emotionen eine wichtige Rolle in der Bildung. Wir haben ein Modell f r ein neuronales Faltungsnetzwerk zur Erkennung von Gesichtsausdr cken bei Sch lern vorgestellt . Das vorgeschlagene Modell umfasst 4 Faltungsschichten, 4 Max-Pooling-Schichten und 2 vollst ndig verbundene Schichten. Das System erkennt Gesichter aus den Eingabebildern der Sch ler mithilfe eines Haar- hnlichen Detektors und klassifiziert sie in sieben Gesichtsausdr cke: berraschung, Angst, Ekel, Traurigkeit, Freude, rger und Neutralit t.
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Reconnaissance des émotions faciales à l'aide d'un réseau neuronal convolutif

Reconnaissance des émotions faciales à l'aide d'un réseau neuronal convolutif

Dr M Aravind Kumar; M Chilakaiah; N L Tejaswini

Editions Notre Savoir
2023
pokkari
Ce livre r sume la reconnaissance des expressions faciales et l'identification des motions partir d'une image de visage, c'est une manifestation de l'activit et de la personnalit d'un tre humain. Au 20e si cle, les psychologues am ricains Ekman et Friesen ont d fini six motions de base (col re, peur, d go t, tristesse, surprise et bonheur), qui sont les m mes dans toutes les cultures. La reconnaissance des expressions faciales a suscit beaucoup d'int r t ces derni res ann es en raison de son impact sur la pratique clinique, la robotique sociale et l' ducation. Selon diverses recherches, les motions jouent un r le important dans l' ducation. Nous avons pr sent un mod le de r seau neuronal convolutif pour la reconnaissance des expressions faciales des tudiants .Le mod le propos comprend 4 couches convolutives, 4 couches de mise en commun maximale et 2 couches enti rement connect es. Le syst me reconna t les visages partir des images d'entr e des l ves l'aide d'un d tecteur de type Haar et les classe en sept expressions faciales: surprise, peur, d go t, tristesse, joie, col re et neutralit .
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Riconoscimento delle emozioni facciali mediante rete neurale convoluzionale

Riconoscimento delle emozioni facciali mediante rete neurale convoluzionale

Dr M Aravind Kumar; M Chilakaiah; N L Tejaswini

Edizioni Sapienza
2023
pokkari
Questo libro riassume il riconoscimento delle espressioni facciali e identifica l'emozione da un'immagine del volto, che una manifestazione dell'attivit e della personalit di un essere umano. Nel XX secolo, gli psicologi americani Ekman e Friesen hanno definito sei emozioni di base (rabbia, paura, disgusto, tristezza, sorpresa e felicit ), che sono le stesse in tutte le culture. Il riconoscimento delle espressioni facciali ha suscitato grande attenzione negli ultimi anni per il suo impatto sulla pratica clinica, sulla robotica sociale e sull'istruzione. Abbiamo presentato un modello di rete neurale convoluzionale per il riconoscimento delle espressioni facciali degli studenti . Il modello proposto comprende 4 strati convoluzionali, 4 strati di max-pooling e 2 strati completamente connessi. Ilsistema riconosce i volti dalle immagini di input degli studenti utilizzando un rilevatore Haar-like e li classifica in sette espressioni facciali: sorpresa, paura, disgusto, tristezza, felicit , rabbia e neutro.
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Facial Emotions Recognition using Convolutional Neural Network

Facial Emotions Recognition using Convolutional Neural Network

Dr M Aravind Kumar; M Chilakaiah; N L Tejaswini

Lap Lambert Academic Publishing
2023
pokkari
This book summarizes Facial expression recognition and identifies emotion from a face image, it is a manifestation of the activity and personality of a human. In the 20th century, the American psychologist Ekman and Friesen defined six basic emotions (anger, fear, disgust, sadness, surprise, and happiness), which are the same across cultures. Facial expression recognition has brought much attention in the past years due to its impact on clinical practice, social robotics, and education. According to diverse research, emotion plays an important role in education. we presented a Convolutional Neural Network model for students' facial expression recognition. The proposed model includes 4 convolutional layers, 4 max-pooling, and 2 fully connected layers. The system recognizes faces from students' input images using a Haar-like detector and classifies them into seven facial expressions: surprise, fear, disgust, sad, happy, anger, and neutral.
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Smart Control of Traffic Light Using Deep Learning

Smart Control of Traffic Light Using Deep Learning

Dr M Aravind Kumar; P Sheela

Lap Lambert Academic Publishing
2023
pokkari
This book summarizes that with the increasing number of vehicles in urban areas, many road networks are facing problems with the capacity drop of roads and the corresponding Level of Service. Many traffic-related issues occur because of traffic control systems at intersections that use fixed signal timers. In conclusion, the proposed system sets the green signal time adaptively according to the traffic density at the signal and ensures that the direction with more traffic is allotted a green signal for a longer duration of time as compared to the direction with lesser traffic. This will lower unwanted delays and reduce congestion and waiting time, which in turn will reduce fuel consumption and pollution.
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Firefighting and Agriculture Seed Spreading Drone

Firefighting and Agriculture Seed Spreading Drone

Dr M Aravind Kumar

Lap Lambert Academic Publishing
2023
pokkari
This book summarizes as an unmanned Aerial Vehicle (UAV) is a type of aircraft that has no pilot or passenger on board. UAVs include autonomously controlled (drones), and piloted vehicles (RPVs) controlled via a radio transmitter. Multirotor UAVs (unmanned aerial vehicles), namely quadcopters and hexacopters, have become increasingly popular in recent years. This book provides Over time, an increased understanding of the many factors that contribute to the risk of fire and has led to positive developments in the fire protection of commercial structures. Improvements in public fire protection systems and services, as well as increased use of private active or passive systems through fire protection and loss-control engineering, have meant an overall decrease in the cost of fire. The main focus of this system is its Automatic way of sowing the seeds. The seeds are been sowed in a proper sequence which results in the proper germination of seeds.
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