Behavioural investing seeks to bridge the gap between psychology and investing. All too many investors are completely unaware of the mental pitfalls that await them. Even once we are aware of our biases, we must recognize that knowledge does not equal behavior. Huge amount of information is readily available and it is upon the investor to differentiate and select. This selection of information is described as a study called Behavioural Finance. Behavioural finance therefore studies the influence of psychology on the behavior of portfolio investors and their consequent reactions in stock market investing. This paper mainly deals with – Investor biases and how these influence investing decisions in the Indian stock market by analyzing the Indian stock market during the last decade. The effect of one major bias, the confirmation bias will be studied through questionnaire approach. The paper will also assist individual investors to avoid these “mental mistakes and errors” by recommending some important investment strategies for those who invest in stocks and mutual funds.
Due to the rapid industrialisation and construction activities and use of huge amount of fertilizers for crop production, the quality of soil is deteriorating day by day. And by the continuous practice of irrigation there is a chance to increase in saline and sodic property, which also prevent crops yield. The samples have been collected from 7-April-2015 to 21-June-2015 from seven different identified locations that are Kota thermal, Ganeshpal, Badana Rangpur road, Tathed, Rasulpur, Raipura, Kota stone industrial area. The soil samples have been collected from above these locations and taken up to three months. The collected Soil samples of seven different points are analysed thoroughly and taken one average value of one month for representation in simple manner. the obtained result shows in three graph for each month separate and collectively representing the value of all seven location that the soil were found moderately polluted where the industries are very near and the soil were irrigated with contaminated waste water as values of some micronutrient were high in those sampling site.
Sentiment analysis is a popular research problem to find out in the field of natural language processing. The largest online review of product and services are created due to the rapid development of technology, which is an important source for people to gather information. Sentiment analysis allocates positive and negative polarity to an entity or items by using different natural language processing tools and also predicted high and low performance of various sentiment classifiers. The paper presents the hybrid approach to identify the reviews as positive and negative. The combination of SVM and KNN is used, in which SVM classifier is working best for large length reviews and KNN for small length reviews. This approach is tested on SuperFetch review. The SuperFetch reviews are showing that whether the hybrid approach gives an effective performance of sentiment analysis or not.
This paper provides thermal properties of chemically synthesised Polyaniline and its CuO doped composites with various doping levels. Structural property was observed by XRD which confirms the synthesis of the polyaniline and CuO doped polyaniline composite. The main peaks in the XRD pattern of pure PANI are observed at 2θ = 15.530 and the other characteristic peaks ascertained from the XRD pattern of PANI/CuO nanocomposites are at 2θ = 35.540, 38.710, 48.940. The diffraction peaks at 2θ values of 35.540, 38.710 and 48.940 corresponding to (-1 1 1), (1 1 1) and (-2 0 2) which shows the stability of the polymers. Thermal properties were measured out using DSC thermogramms indicated that there was a glass transition temperature (Tg) at about 850 C and the doping process shifted it towards higher temperature which shows increased thermal stability.DSC plot also indicates occurrence of physical changes like loss of moisture and other ingredients and chemical changes like decomposition depending on the temperature.Two distinct endotherm peaks are observed at around 570 C – 1730 C and 1960 C - 3430 C for pure PANI whereas for composites it shifted towards Miller planes .
The article addresses the problem of mapping the continuous particle paths which are most likely taken by the odor particle detected by the concentration sensors and anemometer sensors. The estimated particle paths are useful for odor source localization, which the existing methods for particle path estimation are either at high computational cost, or in discrete form that is incomplete for estimating the localization of the odor source. In this paper, a novel algorithm is proposed that maps the trajectories of chemical particle on the fluid flow and smooth the particle paths based on the primary paths using additional sensors.
Odor localization has been partially achieved in the previous papers by using knowledge of airflow, and a search on chemical sensing and reasoning. However the results are not specific, with the sensors can giving more data. If we arrange more sensors in the considered area or the sensors can mobile to gather more information at different locations, we need update the map of airflow and reasoning system to detect odor source. This paper presents a solution to the problem by introducing a second search stage using neural network. We proposed a new type neural network that uses hermite spline function being its activation function. In the experiment, the neural network can satisfy all of data from sensors and the weights are the parameters of the particle paths.
Recent days, MOS technology is dominating over BJT technology with its unique advantage of scaling towards lower technologies. This advantage is more suitable to design digital ICs with good accuracy in lower technologies. But, design of analog ICs in lower technologies with good accuracy is limiting due to the poor drain current versus drain-to-source voltage characteristics. These characteristics are deviating much compared with the ideal MOS characteristics due to finite channel length modulation. The prime aim is to minimize or eliminate this channel length modulation by designing suitable circuit techniques including MOS transistor, capacitor, resistor, diode etc. Once we can achieve this ideal characteristics of MOS Transistor, it opens an era to design analog and mixed signal ICs in lower technologies with good accuracy.