Type:Journal Article

Subject:Physics

Description:Journal of Solid State Physics, Vol.2014, pp.127-133, ISSN No: 2356-7643 (Print), 2314-6842 (Online).

Type:PhD

Subject:Civil Engineering

Description:Nanotechnology has become by far the fastest growing area and the shooting star in materials science. Carbon is a fascinating element observed in a large variety of morphologies and atomic structures owing to its chemical ability to form different hybridizations. Carbon nanotechnology has gained significant attention, energized by discoveries such as fullerenes, followed by carbon nanotubes, and, of course the latest addition to the carbon family, graphene. Graphene, a two- dimensional honeycomb lattice of sp2-bonded carbon atoms, possesses a wealth of exceptional properties that has resulted in intense research activities. Although graphenes prospect for applications in wide areas is attractive, making and manipulating graphene is a daunting task. The most fruitful and cost-effective way to synthesize graphene in huge scale from bulk graphite is by reduction of Graphene oxide. Graphene oxide is nothing but a corrugated carbon sheet with over half of the carbon atoms functionalized with hydroxyl and epoxy groups, and edges partially occupied by hydroxyl, carboxyl, ketone, ester and even lactol structures. It has recently emerged as a new carbon-based nanoscale material that provides an alternative path to graphene due to its own alluring properties. In the present study, carbon nanomaterials are derived from hydrocarbon precursors- kerosene, camphor and liquid paraffin by thermal decomposition. Graphene oxide is then synthesized from these carbon nanostructures by modified Hummers technique. The as-prepared soot nanostructures and graphene oxide nanosheets are investigated by various experimental techniques viz. Raman Spectroscopy, Fourier Transform Infrared Spectroscopy (FTIR), UV- Visible Spectroscopy, Scanning Electron Microscopy (SEM), Energy Dispersive X-Ray Spectroscopy (EDS), X-Ray Diffraction (XRD), Atomic Force Microscopy (AFM) and X-Ray Photoelectron Spectroscopy (XPS). The effect of ultrasonication on the samples is also studied. [show more]

Type:Journal Article

Subject:Chemistry

Description:International Journal For Light And Electron Optics, Vol.183, pp.496-507, ISSN No: 0030-4026.

Type:Patent

Subject:Computer Science

Description:Patent Number: 202241038950, Applicant: Dr.K Mallikarjuna Rao. Investigation sustainable business growth via Human resources management Abstract: The management of human resources is essential for helping an organisation improve its efficiency, managing corporate governance and ethical issues that go beyond economic performance, and supporting the realignment of the organization's future direction and vision for new ways of conducting business. Because a focus on achieving maximum employee engagement can have a negative impact on employees in the form of diminished job security and precarious working conditions, it is important to take ethical considerations into account when it comes to the role of HR. [show more]

Type:PhD

Subject:Computer Science and Engineering

Type:PhD

Subject:Mechanical Engineering

Description:6-8% Yttria Stabilized Zirconia, (Y2O3-ZrO2), typically known as 8YPSZ, Thermal Barrier Coatings (TBCs) when applied via Electron Beam Physical Vapor Deposition (EBPVD) finds wide application in aerospace engineering. TBCs, applied on aero turbine super-alloy blades protect them from the high operating temperature environment and permit reduction in the required amount of cooling air, thereby improve engine performance and efficiency / component life. Likewise, 8YPSZ TBCs are widely used in larger components of the power generation turbines as well. In addition to aerospace, TBCs also find applications in automobiles and many other engineering fields where high temperature and protection to metals is involved. Though a good amount of published literature is available on the 8YPSZ TBCs on super alloys (high temperatures alloys used in jet engines), the same on TBCs on Al-11Si alloys (frequently used in automotive components) is very limited; even though the potential of this alloy in the automobile industry is enormous. [show more]

Type:PhD

Subject:Electronics and Communication Engineering

Description:The study entitled Investor Sentiments, Trading Behavior and Informational Efficiency in Indian Stock Futures Market shows that the traders in Indian Stock Futures Markets are positive feedback traders-they buy when prices increase and sell when prices decline. Positive Feedback trading appears to be more active in periods of high investor sentiments. Our primary objective is to examine the relationship between the investor sentiments and transitory volatility. The data used in the study is secondary data which is being collected from the National Stock Exchange. The sample period of the study is of past 5 years i.e. from July 2006 to September 2011.The Pharmaceutical sector has been chosen and around seven companies are selected. We used Vector AutoRegression (VAR) Model to test the contemporaneous and causal relationship between order flow, stock return and return volatility. Augmented Dickey Fuller (ADF) and Phillips-Perron (PP) unit root tests have been employed to test the stationarity of the investor sentiment measures. We found that futures market tends to be more liquid in periods of bullish sentiments. We also found that controlling for feedback trading; the persistence of order flow is significantly lower in high sentiment periods. Further the study shows a strong positive relation between investor sentiments and transitory volatility. The result also suggested that stock futures prices tend to follow the underlying efficient price more closely in bullish periods, consistent with increased liquidity in bullish states. Overall, it can be concluded that this study provides new evidence on the link between investor attitudes, trading behavior and price efficiency at the microstructure level. Key Words: Investor Sentiments, Market Efficiency, Futures Market, Volatility, Order . [show more]

Type:Patent

Subject:Computer Science

Description:Patent Number: 202211046639, Applicant: Dr. Mani Jindal. This research article focuses on the contours of investors’ rationality as regard to the initial public offering (IPO). For last 20 years, financial world has been very volatile. Now the investors have actively started to participate in the investment activities. The investment markets are becoming more risky; time makes investors to behave differently. It is crucial to perceive the responses of the inves- tors and to identify the factors of the investment decisions. [show more]

Type:Patent

Subject:Computer Science

Description:Patent Number: 202211046639, Applicant: Dr. Mani Jindal. This research article focuses on the contours of investors’ rationality as regard to the initial public offering (IPO). For last 20 years, financial world has been very volatile. Now the investors have actively started to participate in the investment activities. The investment markets are becoming more risky; time makes investors to behave differently. It is crucial to perceive the responses of the inves- tors and to identify the factors of the investment decisions. [show more]

Type:Patent

Subject:Electrochemistry

Description:Patent Number: 202241014988, Applicant: Ann Maria C G. Humans are prone to heavy metals triggering many diseases and rising environmental concerns. Arsenic is one of the most harmful heavy metals which needs constant monitoring and control. A susceptible and selective sensor for arsenic (III) detection in polluted water samples has been developed by using chitosan stabilized silver nanoparticles. The glassy carbon electrode (GCE) is modified with chitosan stabilized silver nanoparticles, which provides sufficient sites for interaction with the analyte. [show more]

Type:Patent

Subject:Computer Science

Description:Patent Number: 202221053302, Applicant: Raghvendra Omprakash Singh. IoT and deep learning based Emotion and hate speech recognition to examine the person mind state in home/health care ABSTRACT There are several applications for AEE, which stands for automatic emotion recognition. Various industries, including advertising, technology, and human-robot interactions, use the emotional responses of individuals as a signal. This paper analyses all pertinent scientific literature to determine the application of sensors. In these publications, numerous strategies that have already been researched or implemented are discussed. [show more]

Type:Patent

Subject:Chemical

Description:Patent Number: 358781-001, Applicant: Dr.Sarwesh P.

Type:Patent

Subject:Internet of Things

Description:Patent Number: 202131062286, Applicant: Bikas Mondal. As the population grows and there are more cars on the roads, a large number of people may visit a site. It may be difficult for those who work there to keep track of everyone who comes in. Cloud-based interconnection between vehicles will benefit traffic cops by allowing them to monitor traffic and flow patterns without having to get out and do anything. Customers with valid driver's licences can only use a vehicle with an automatic ignition that is solely based on biometrics. [show more]

Type:Patent

Subject:Internet of Things

Description:Patent Number: 202131062286, Applicant: Bikas Mondal. As the population grows and there are more cars on the roads, a large number of people may visit a site. It may be difficult for those who work there to keep track of everyone who comes in. Cloud-based interconnection between vehicles will benefit traffic cops by allowing them to monitor traffic and flow patterns without having to get out and do anything. Customers with valid driver's licences can only use a vehicle with an automatic ignition that is solely based on biometrics. [show more]

Type:Patent

Subject:Computer Science

Description:Patent Number: 202021050705, Applicant: Dr. Chaitanya Singh. Internet of Things integrated with image processing paves new ways for monitoring plant health and actuating response based on recent development of technologies. Early detection of plant diseases and its classification utilizes image processing along with analysis of environmental data which will help farmers to maximize their yield by producing healthy plants as plant diseases are eradicated at the initial stage. [show more]

Type:Patent

Subject:Physics

Description:Patent Number: 202141035598, Applicant: Dr. Poornima G. Energy is the essential utility needed. Thus, the management of energy use is a significant priority, as the enormous growth changes are sweeping the globe, and doing so is the best answer, beginning domestically. There are numerous difficulties in the existing home energy meter reading systems, such as construction problems, too little bandwidth, poor real-time, no fast two-way communication, etc. Therefore, based on wireless internet technology, a smart meter is suggested. An Arduino microcontroller and raspberry pi CPU are used for the suggested smart energy meters for house management. [show more]

Type:Patent

Subject:Computer Science

Description:Patent Number: 202111031077, Applicant: Dr. Vikas Kumar. The Smart Green House concept has been brought into the agricultural area to promote plant development in a short period of time. With an IoT-enabled framework controlled by a Smart Green House Intelligence Decision Support System, the system's quality can be improved. The system uses multiple sensors strategically positioned throughout a greenhouse to make decisions about actions such as water supply and nutrition level. All of the sensors and control systems operate in an automated setting, allowing small farmers to benefit from the greenhouse technology. [show more]

Type:Patent

Subject:Chemical

Description:Patent Number: 202241015394, Applicant: Geetha V. Water pollution has become one of the most serious threats in recent years, as drinking water has become contaminated and polluted. Polluted water can cause a variety of diseases in humans and animals, affecting the ecosystem's life cycle. If water pollution is detected early on, appropriate measures can be implemented, and critical situations can be avoided. To ensure a steady supply of pure water, the water's quality should be monitored in real time. With advancements in sensors, communication, and Internet of Things (IoT) technology, smart solutions for monitoring water pollution are becoming increasingly important. [show more]