Review Of Significant Research Research Articles

Recent advances in active fault tolerant flight control systems

The Flight Control System (FCS) is considered as the brain of an aerial vehicle. It is a mechanism through which pilot’s commands are transferred to the actuators of the aircraft control surfaces. In order to ensure safety and increase reliability of aerial vehicles, development of fault tolerant FCSs has been the focus of research community for past few decades. Fault tolerant ability enables an aircraft to maintain satisfactory performance even in the state of a fault. Fault Tolerant Control Systems (FTCS) are categorized as passive and active control systems. Passive FTCS are designed to mitigate the effects of certain known faults. These faults can be related to sensor failure, actuator failure, or system component failure. On the other hand, active FTCS contain a controller reconfiguration mechanism, whereby, they can adjust the controller input online to mitigate the effects of the faults. In this way, they can accommodate complicated and versatile faults as compared to their passive counterparts. This paper presents a review of significant research during last decade in active fault tolerant control with applications to FCSs. A review of state-of-the-art works in this domain has also been presented. Upon review, these state-of-the-art research interests have been categorized into respective categories. Furthermore, research works have been cataloged based on their technology readiness levels. Based on these reviews, future research directions have also been highlighted.

A systematic review on detection and estimation algorithms of EEG signal for epilepsy

Epilepsy is the most common neurological disorder characterised by a sudden and recurrent neuronal firing in the brain. As EEG records the electrical activity of the brain so it helps to detect epilepsy of the subject. Early detection of epileptic seizure using EEG signal is most useful in several diagnoses. So aim of the work is to study and compare the different techniques used for feature extraction and classification algorithm. Epilepsy detection research is oriented to develop non-invasive and precise methods to allow accurate and quick diagnose. In this paper, we present a review of significant researches where we can find most suitable method among existing members to improve computing efficiency and detect epilepsy of the subject efficiently and accurately with lesser computational time. The database which is publicly available at Bonn University is taken.

A Review of Significant Researches on 4×4 EHG Signal for Classifying Uterine Contraction

A Review of Significant Researches on 4×4 EHG Signal for Classifying Uterine Contraction

A review of significant researches on prediction of preterm birth using uterine electromyogram signal

Abstract Early diagnose for the prevention of preterm birth is one of the important perinatal challenges. The neonatal care and early treatment for preterm babies are increasing the chance of survival, but anyways it affects the respiratory distress, immature brains, cerebral palsy, mental retardation, visual and hearing impairments, and poor health and growth. If preterm labor is diagnosed in the early period of gestation, then it is easy to give an appropriate treatment to the pregnant woman. The uterine electrical activity assessment is a suitable method for monitoring the labor process especially for the prediction of preterm labor. Electrohysterography is a non-invasive technique to monitor the contraction. The electrohysterogram (EHG) or uterine electromyogram (Uterine EMG) is considered as a biomarker for the prediction or preterm labor. A number of studies in this field by various researchers have been reviewed. On the basis of such reviews, this paper provides the different steps such as pre-processing , feature extraction, classifiers and feature subset selection methods for the detection and prediction of preterm birth.

A Review of Significant Research on Epileptic Seizure Detection and Prediction using Heart Rate Variability

Epilepsy is a brain disorder that many people struggle with all over the world. Despite extensive research, epilepsy is still an important challenge without a clear solution. There may be confusion about providing a specific approach due to the variety of epileptic seizures and the effectiveness in different environmental conditions. Some patients with epilepsy undergo treatment through medication or surgery. Epileptic patients suffer from unpredictable conditions that may occur at any moment. Given the origins of these seizures, researchers have focused on predicting epileptic seizures via electroencephalogram (EEG). The results indicate some success in this regard. This success led to a focus on optimizing these methods and the evaluation of epilepsy seizure prediction through other vital signals. Both sympathetic and parasympathetic inhibitory effects are undeniable during epileptic seizures. This conflict is visible in the change in heart rate. In recent years several investigations have focused on a behavioral study of heart rate changes before the seizures. The results have led to the development of algorithms for classifying and predicting epileptic seizures using the electrocardiogram (ECG) and the more distinct heart rate variability (HRV). This article presents an overview of seizure detection and prediction methods and discusses their potential to improve the quality of life of epileptic patients.

An Extensive Review of Significant Researches in Data Mining

An action that removes a few novel nontrivial data enclosed in large databases is defined as Data Mining. On noticing the statistical connections between the items that are more regular in the operation databases traditional data mining methods have spotlighted mostly. Numerous functions are using data mining in dissimilar fields like medical, marketing and so on commonly. Several methods and techniques have been extended for mine the in order from the databases. In this study, we provide a comprehensive survey and study of various methods in existence for item set mining based on the utility and frequency and association rule mining based research works and also presented a brief introduction about data mining and its advantages. Moreover we present a concise description about the Data Mining techniques, performance review and the instructions for future research.

Agricultural electrostatic spray application: a review of significant research and development during the 20th century

Electrostatic force fields are currently exploited for beneficially increasing the deposition efficiency of finely divided particulate matter used as inputs in the production and processing of food and fiber crops satisfying basic human needs. This paper chronicles the scientific and engineering contributions of numerous researchers throughout the 20th century whose work has established both the fundamental basis and the technical implementation of reliable dust- and spray-charging methods and reviews various systems developed for electrostatic deposition of agricultural particulates. The paper is dedicated to Professor Emeritus Henry D. Bowen of North Carolina State University in recognition of his many years of creative leadership in agricultural electrostatics.

Social Organization and Alcoholism: A Review of Significant Research since 1940

Social Organization and Alcoholism: A Review of Significant Research since 1940

Social Organization and Alcoholism: A Review of Significant Research since 1940

alcoholism, ignoring the role of the socio-cultural milieu of the inebriate. As alcohol research matured, this exclusive attention to the alcoholic gave way to a consideration of how nonalcoholic drinking behavior is socially organized and how this contributes to alcoholism. Today these social forces are widely accepted as playing a prominent role in the alcoholism process. Sociologists, social psychologists, and anthropologists have contributed substantially to the understanding of drinking behavior as it relates to the degree of alcoholism in a social unit.