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Volume 07 Issue 05 (May 2020)

S.No. Title & Authors Page No View
1

Title : The Differences between the Supply Chain and Logistics

Authors : Mohammed Ali Mohammed Musleh Abdulrab

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Abstract :

"Logistics and Supply Chain Management", Often, we see this term. Why is logistics associated with the Supply Chain? Is there a difference between Logistics and Supply Chain? So, this paper will focus on the differences between Logistics and Supply Chain. It is important to know the differences between Logistics and Supply Chain, so that we can deal with them in a correct administrative manner.

1-5
2

Title : Simple Procedures to Create HSCS

Authors : Naseem Asad, Ziad Alqadi, Ismail Shayeb, Qazem Jaber, Jamil Al-Azzeh

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Abstract :

Human speech signal is an important digital data type and it si widely used in many vital applications such as computer security systems. In this paper research we will focus on introducing a simple, accurate and highly efficient procedure to build human speech classification system. A method of speech signal features extraction method will be introduced, tested and adopted for the proposed procedure. A features data base will be built and used in ANN creation, training and running. The obtained ANN will be used as a classification tool.

6-10
3

Title : Implementation of Cylindrical Dielectric Resonator Antenna for High Speed Real-time Applications Using Novel Mathematical Framework

Authors : Dr. S. V. A. V Prasad, Dr. Anshu Thakur

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Abstract :

With the advancements in the field of communication technology, it has been seen that many different architectures and configurations of antenna have emerged. One of the most popular type of antenna is the Dielectric Resonator Antenna (DRA) which has been quite prominent in most modern high speed communication applications. Although, the design of DRA in various geometric forms have already been accomplished, the methodology for the design which is followed is not at all systematic. In this paper, we have carefully analyzed the theoretical model of a DRA and have proposed various mathematical methods for its analysis. The methods proposed herein can reduce the complexity of analysis and design of circuits involving DRAs. Furthermore, we also show system level implementation of a cylindrical DRA which can serve as a benchmark for microwave and millimeter wave communication circuit designs.

11-15
4

Title : The Impact Analysis of Music Therapy in Chronic Brain Diseases: A Review Article

Authors : Prof. S. N. Sawalkar, Prof. A. D. Shah

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Abstract :

The human neurological system has been greatly influence by the effect of music therapy, mantra therapy, Raga therapy and instrumental sound. We can easily analyses this effect with proper source of signal to generate audible frequencies. Which later will relax central nervous system, mind and body

This process follows classification of these signals with respect to the class of frequencies, analyzing the impact of these signal energies on the neurotransmission, which in turn helps to get positive results in chronic mental diseases, disorders  like scrizophenia, parkinsons, Alzimers etc. This paper throws light on effect of music therapy to produce signal positive vibrations on human body brain and nervous System.

16-18
5

Title : ANFIS Based adaptive filter for the Elimination of Noises from the Respiratory Signals

Authors : Bhavani Sankar. A

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Abstract :

In current scenario of modern technology, we are facing a necessity of noise removal in bio medical signal processing. Various approaches are used for noise cancellation. This paper describes an intelligent adaptive filtering for noise cancellation. Here ANFIS method is being used for removal of noise from respiratory signals. Respiratory signals contaminated with various noises is taken and inspected with different membership functions. Finally using ANFIS, the original respiratory signal is restored. The major advantage of this system is its ease of implementation, faster convergence rate and minimum MSE

19-24
6

Title : The Complexity of Market Segmentation Process

Authors : Dr. D. S. Chaubey, Dr. K. R. Subramanian

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Abstract :

Market Segmentation has turned out to be a more complex process than what is suggested by its core definition. On a philosophical plain, segmentation has shifted from a simple focus on understanding customers’ needs to an intricate exploration of customer lifestyles, values, jobs to be done, need states and occasions. On a practical level, the multiplicity of real-time, digital data about customers has paved new ways of understanding them. Together, the complexity of modern-day customer segmentation has made it a sensitive topic for marketers. Market segmentation needs to address the realities of what current digitally savvy customers and aligning business functions around customer segments that can be focused on. Customer centricity is the operating word and organizations are more effective by such strategies. Organizations are more effective by such strategies in meeting current requirements of sales and market share and the long term requirements of business expansion and growth. The role of Big-Data in analyzing customer requirements and then segmenting is becoming popular. The current research paper will explore the possibilities and arrive at suggestions for companies to grow

25-30
7

Title : A Security Approach for Heart Diseases for Active Health Care Consumer Using Data Mining

Authors : Ms. K. Sivasankari, Gaurav Singh, Amrit Yadav, Kunal Satoor

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Abstract :

Data Mining is a method that requires analyzing and exploring large blocks of data to glean meaningful trends and patterns. In today’s life, every person on earth relies on allopathic treatments and medicines. Data mining techniques can be applied to medical databases that have a huge scope of opportunity for textual as well as visual data. Medical errors are generally costly and harmful. They caused a large number of deaths worldwide annually. A clinical decision support system offers the opportunity to reduce medical errors and also to improve patients safety. Certainly, one of the most crucial facet in applying such a system is the diagnosis and therapy for heart diseases. Data mining classification techniques are implemented to analyze the different kinds of heart based problems. This paper is objective at developing a heart disease prediction system using data mining clustering techniques. The health’s care system is "data rich" however "knowledge poor". This healthcare data can be used to extract knowledge for antecedently disease prediction. Currently data mining techniques are widely used in clinical expert systems for prediction of various types diseases. These techniques discovers the hidden relationships and patterns of the healthcare data. Thus, a gesture to the make use of knowledge and experience of several specialists and clinical screening data of patients composed in databases to relieve the diagnosis procedure regarded as a great challenge. The healthcare system industry gathers enormous amounts of heart disease data that unfortunately, didn’t mine to determine concealed information for effective diagnosing.

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8

Title : Effects of Induction Heating in Air Gap of Magnetic Wire

Authors : Dr. V. L. Lanin, E. S. Ratnikau, A. D. Hatskevich

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Abstract :

Induction heating of parts by eddy currents is widely used in mass production due to high speed, localization of the selective heating zone. Improving the efficiency of induction heating of parts in the air gap of the magnetic circuit is associated with the use of surface and edge effects. Through modeling in ANSYS Electromagnetics Suite 19.2. and experimental studies identified patterns of edge effect in the heated parts. To ensure the uniformity of induction heating of small parts and reduce the soldering time, the electrical switch of soldered parts is used, which with the help of  device controller forms a secondary circuit with low electrical resistance and high density of eddy currents

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9

Title : A Study on the Innovative Mode of Student Party Construction

Authors : Wang Yaqiong

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Abstract :

It is of great and far-reaching significance to do a good job in the Party construction of college students to train them to be qualified successors and builders in building a socialist country with the Chinese characteristics so as to ensure the historical mission of our Party to realize the great rejuvenation of the Chinese nation. This paper aims to study the innovative mode of student Party building in college.

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10

Title : Pearson Plot Shows Relations between Many Variables in One Figure

Authors : Sven Ahlinder

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Abstract :

Data analysis is much about correlations.  Correlations between features and responses are good. Correlations between features are bad. Visualization of relations between many variables is a general problem. The Pearson Plot introduced here shows the relation of many variables to two chosen. This may be a valuable tool in data analysis for finding correlations in data

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