Investment Objective, Investment Portion and Risk Taking Capacity of the Respondents in Agricultural Commodity Market of Narmadapuram Division with Reference to Soyabean and Wheat Crop

Narmadapuram division consists of Harda, Betul and Hoshangabad district and they are chosen for the present study as per stratified random sampling. The said districts were selected because Soyabean and Wheat crop are cultivated at large while comparing with other districts. The study pertaining about the commodity market covers the period of 3 years (2014-2016). In the present study the investment objectives, investment portion and risk taking capacity of the respondents in agricultural commodity market of Narmadapuram division

Performance Analysis of Big Data with Data models using Artificial Intelligence

Proliferation of new information sources such as medical images, financial data, sales data, radio frequency identification and web tracking data, there is a challenge to decipher trends and gain sense of data that is orders of magnitude larger than ever earlier. One of the technologies most often associated with the era of big data is Hadoop. Although in that respect is much expert information about Hadoop, there is not much info around how to effectively structure data in a Hadoop environment. Though the nature of parallel processing and the MapReduce system provide an optimal environment for processing big data quickly, the structure of the big data itself plays a vital role. This paper explores doable used for data modeling in a Hadoop environment. Specifically, the purpose of the experiments described in this paper was to figure out the best structure and physical modeling techniques for storing data in a Hadoop cluster using Hive to enable efficient data access. Although other software interacts with Hadoop, the experiments focused on Hive. The Hive infrastructure is most felicitous for traditional data warehousing-type applications. The experiment does not focus on HBase. This paper explores a data partition strategy and investigates the role indexing, data types, file types, and other data architecture decisions play in designing data structures in Hive. To test the different data structures, it focused on typical queries utilized for analyzing web traffic data. These test included most referring sites, web analyses such as counts of visitors, and other typical business questions used by weblog data.   The primary measure for culling the optimal structure of data in the Hive is predicated on the performance of web analysis queries. For comparison purposes, it was quantified the performance in Hive and the performance in an RDBMS. The reason for this comparison is to more preponderant understand how the techniques that we are habituated with utilizing in an RDBMS work in the Hive environment. It explored techniques such as storing data as a compressed sequence file in Hive that are particular to the Hive architecture. Through these experiments, it endeavored to show that how data is structured (in effect, data modeling) is just as consequential in an immensely colossal data environment as it is in the traditional database world

Corporate Legal Liability for Environmental Damage (Case Study of Corporate Liability in Indonesia)

Indonesia adopts environmental laws relatively oriented towards fines, although corporate participation in various laws regulating the environment is low. Therefore, it is necessary to develop the concept of responsibility. Corporations, especially in the event of environmental pollution or damage by the corporation. The purpose of this research is to see and identify the extent to which forms of responsibility for the composition of environmental damage, both in terms of punishment and compensation. This research was conducted using qualitative methods and normative juridical approaches. The results show that the application of the concept of Strict Liability to business actors accused of environmental crimes will impact investigating environmental crimes. The principle of Strict Liability is regulated explicitly in Law Number 32 of 2009 concerning Environmental Protection and Management. The principle of strict liability will make it easier for public prosecutors, that in the process of proof in court, public prosecutors do not need to prove mistakes in the form of deliberate acts or negligence on the part of the corporation that has committed a criminal act. The public prosecutor does not need to prove the existence of law enforcement or corporate motives for environmental crimes

SUB CLASS OF HARMONIC UNIVALENT FUNCTIONS WITH INTEGRAL OPERATOR

This paper introduced a new class of harmonic univalent function defined by an integral operator. Additionally study investigates some properties of this subclass such as essential as well as adequate coefficient bounds, extreme points, distortion bounds and hadamard product

On nearly C-compact space

In this paper we have introduced a new type of convex topological space [5]called nearly C-compact space where a convex topological space is a topological space with a convexity [16]. Some fundamental characterizations and various basic properties have been obtained. Its relationship with other types of compact spaces is also investigate

The RELATIONSHIP OF ATTITUDE AND PERFORMANCE IN MATHEMATICS OF THE BEED AND BSE STUDENTS

This study aimed to determine if the attitude toward mathematics of BSE and BEED students in DMMMSU NLUC is significantly correlated to their Mathematics performance. Specifically, it seeks answers to the following questions: What is the profile of the students enrolled in Mathematics along sex, CAT Result in Mathematics and IQ level. What is the attitude of students towards Mathematics?  What is performance of the respondents in Mathematics?  Is there a significant relationship between profile variables and attitude towards Mathematics profile variables and performance in Mathematics, attitude toward Mathematics and Mathematics performance?  Which among the variables are predictors of Mathematics performance?  What action plan can be proposed to enhance the level of performance and attitude of the students in Mathematics? This study utilized the descriptive method of investigation.  This is best fitted to the study because this method involves describing, recording, analyzing and interpreting conditions that exist. It also includes some forms of comparison and contrast and discovers relationship between existing non-manipulative variables. The respondents are two classes enrolled in Basic Mathematics and Contemporary Mathematics for the SY 2014-2015. Their attitude towards Mathematics were obtained using an attitude inventory, their IQ and CAT Math results were obtained from the Guidance Office and their performance were taken from their final grade in Mathematics. The attitude of students toward Mathematics and their performance in Mathematics were described, analyzed, compared, and interpreted.  Mean was used to describe the attitude and performance in Mathematics. Furthermore, the relationship of the aforementioned variables will be obtained. Hence, the use of statistics of correlation under descriptive method was also used.                 The following are the salient findings of this study: Majority of the Mathematics students are females with fair to good performance in the Math CAT and IQ level. The students have positive to highly positive attitude towards Mathematics. The students have very good performance in Mathematics.IQ and CAT performance are significantly correlated with Mathematics performance. CAT significantly correlates with attitude and attitude is significantly correlated with Mathematics performance. In the light of the above-stated findings, the following conclusions are drawn: The Math classes are dominated with females who have only fairly satisfactory to satisfactory IQ levels and performance in the CAT along Mathematics. A greater majority of the students find mathematics enjoyable, interesting and fun. Most of the students have acquired the needed competencies in Mathematics. They are good in computation, comprehension and problem solving. Those who have high IQ and high CAT results perform excellently in Mathematics. The better is the attitude towards Mathematics the higher is the performance in the subject. Attitude has a positive impact of performance in Mathematics. Based on the conclusions, the researcher offered the following recommendations: Teachers are encouraged to customize their instruction and improve the use of modernized and innovative teaching techniques and strategies to enhance performance and attitude of students toward Mathematics. The Mathematics teachers especially the Math Club Adviser should consider the implementation of the Action Plan to improve attitude and performance in Mathematics. The administrators should support the implementation of the Action Plan by providing the opportunities and logistics for its accomplishment. The Action Plan should be considered for adoption by other HEIs in La Union with the administrators and Head of Mathematics Department planning its mechanics of implementation. A research on the effectiveness of the proposed action plan when implemented be conducted as basis for revisions and improvement

A Review on Methods used to determine Fractal Dimension Analysis of AFM Images of Thin Film

This aims the applications in the field of surface analysis and study of structure of different materials. The purposeof this examination is to additionally research the ultra-structural details of the surface of thin film using atomicforce microscopy (AFM) images. The fractal dimension, gave quantitative qualities that describe the scaleproperties of surface geometry. Detailed identification of the surface geometry was obtained using statisticalparameters. The analyzed AFM images confirm a fractal nature of the surface, which is not taken into account byclassical surface statistical parameters. In this paper, we present a review on different methods used to determinefractal dimension of AFM images of thin film

S-METRIC SPACES FIXED POINT RESULTS ON ALTMAN INTEGRAL TYPE MAPPINGS

In this present article, we establish the concept o

Common Fixed Point Theorems Satisfying Contractive Type Conditions in Complex Valued Metric Spaces

In this paper we prove  common fixed point theorems satisfying contractive conditions involving rational expressions and product for four mappings that satisfy property (E.A) along with weak compatibility of pairs are proved property are obtained in complex valued metric spaces which generalize various results of ordinary metric space

The Keyframe based Face in Video Recognition using Multi-Artificial Neural Network

Face in video recognition has several challenges. Although deep learning approaches have achieved performance that surpasses people for still image- face recognition, video- face recognition remains a challenging task due to the large volume of data to be processed and intra / intervideo variations in pose, lighting, occlusion, scene, blur, video quality, etc. In this paper, deep convolutional neural network is used for feature extraction and artificial neural network is used for face recognition. The computation overhead of these deep learning approaches is reduced by introducing keyframe based face recognition in video. The low-quality frames are removed by extracting keyframes. The proposed method is tested on YTF dataset and the results are compared with recent methods. The experimental results substantially proved that the proposed method achieves a higher accuracy rate of 98.36% when compared with other recent methods