REACTIVE POWER MONITOR ALGORITHM TO ENHANCE THE NETWORK CAPACITY

Wireless ad hoc network is an infrastructure less wireless network with self organization and self configuration properties. Due to its characteristics, MANETs are well suited for sensitive real time applications like military, law enforcement and disaster recovery. Heterogeneous mobile nodes present in network are communicates one another by wireless communication channel, directly if they are present within a radio communication channel of rely on intermediate nodes for communication. Existing work discussed about reactive link interference monitoring method for multi hop mobile ad hoc networks. The prime objective of this method is to achieve effective communication in MANETs. Algorithm provides effective results, as the data transmitted via wireless link based on its monitored status. The data packets only forwarded through those links, which are capable of handling them and congestion in the link is very less. This algorithm enhances the network capacity by the help of link optimization method. However this objective is not enough to effectively enhance the network capacity. Thus in this paper we propose a per node power monitor method to decrease the power interference. This method is based on multiple access power to every communicating node. Performance results shows that our work is enhance the network performance by Power optimization

Low-velocity impact characterization of fiber-reinforced composites with hygrothermal effect

In this article, low-velocity impact characteristics of UHN125C carbon fiber/epoxy composite, including unidirectional (0°), cross-directional (0°/90°), and quasi-isotropic layups, were experimentally measured. The effect of the fiber orientation angle and stacking sequences on impact force and induced strain were measured via an instrumented drop-weight apparatus with special concern for the moisture absorption effect. Dried specimens were immersed in distilled water for a certain period of time to absorb water for intermediate and saturated moisture content. It was observed that the impulse was reduced with the increase in moisture content; on the other hand, strain increased with moisture, as measured by DBU-120A strain-indicating software (MADSER Corp., El Paso, TX). Impact damage is widely recognized as one of the most detrimental damage forms in composite laminates because it dissipates the incident energy by a combination of matrix damage, fiber fracture, and fiber-matrix debonding. Therefore, it is extremely important to know the impact strength of a structure, especially for applications in industries such as aerospace, ship design, and some other commercial applications. The use of composite materials in engineering applications is increasing rapidly because they have higher strength-to-weight ratios than metals. The strength, stiffness, and, eventually, the life of composite materials are affected more than conventional materials by the presence of moisture and temperature. Thus, it is necessary to analyze the response of composites in a hydrothermal environment

Separation Of �, �, � & � Activities In EEG To Measure The Depth Of Sleep And Mental Status

The electrical activity of the human brain i.e. the EEG and its classification into various frequency bands has been of interest to researches dealing with neurology. So, here our aim is targeted to classify EEG signals traces into different fundamental frequency rhythms and determine whether a relatively short EEG record taken in a routine laboratory is normal or abnormal. The primary aim of computerized EEG analysis is to support electroencephalographer’s evaluation, by representing the data in numerical and or graphical form. EEG analysis however, can go further, actually extending the electroencephalographer’s capabilities giving them new tools with which they can perform such difficult and time consuming tasks as quantitative duration EEG in epileptic patients and sleep and psychopharmacological studies. This method is having several advantages over the visual screening by which it is very difficult to extract EEG information. The choice of analytic method should be determined mainly by the goal of the application. The frequency domain tool is used for EEG analysis. The system performs continuous analysis in graphical form and tabular form of recorded EEG signal. Algorithm is implemented by using C language. It is helpful to classify the depth of sleep and mental status from the percentage power in each band i.e., delta, alpha, beta and theta

Effect of Material Change on Stirnol Engine: A Combination of NiTiNOL (Shape Memory Alloy) and Gamma Stirling Engine

Population explosion, industrialization, and urbanization have accelerated energy requirements across the globe. This has led to the human quest to find simple and cost-effective energy solutions. A promising solution is the revival of the Stirling engine with the addition of Shape Memory Alloy NiTiNOL in it. The experimental results reveal that the addition of a NiTiNOL spring at the base plate of the Stirling engine enhances the overall efficiency of the engine, demonstrating some impact of the shape memory alloy toward the performance output of the Stirling engine. The newly modified engine has been named the STIRNOL ENGINE. The comparative study of Stirling and Stirnol engines reveals a minuscule efficiency improvement, yet there is a furtherance that opens a window for future researchers to get a lead and venture into this new field. We are confident that with more complex designs and better Stirling and NiTiNOL combinations, more efficient engines can be invented in the future. This research focuses on changing the material of the base plate of the Stirnol engine and ascertaining its performance differential through the integration of the NiTiNOL spring. A minimum of four types of materials are utilized for experimentation

A Review of Cobalt-Based Metal Hydroxide Electrode for Applications in Supercapacitors

Supercapacitors are the cutting-edge, high performing, and emerging energy storage devices in the future of energy storage technology. It delivers high energy and produces higher specific capacitances. This research study provides insights into supercapacitor materials and their potential applications by examining different battery technologies compared with supercapacitors’ advantages and disadvantages. Transition metal hydroxides (cobalt hydroxides) have been studied to develop electrodes for supercapacitors and their use in various fields of energy and conversion devices. Cobalt-based metal oxides and hydroxides provide high-capacitance electrodes for supercapacitors. Metal hydroxides combine high electrical conductivity and excellent stability over time. The metal oxides used to prepare the electrodes for supercapacitors are cobalt-based metal oxides and hydroxides. It is stronger than most of the other oxides and has tremendous electrical conductivity. Cobalt hydroxides are also used in supercapacitors instead of other metal hydroxides, such as aluminum hydroxide, copper hydroxide, and nickel hydroxide. This study gives a complete overview of the preparation, synthesis, analysis, and characterization of cobalt hydroxide thin film electrodes by using the electrochemical deposition technique, parameters measurements, important characteristics, material properties, various applications, and future enhancement in supercapacitors