ISSN 2394-5125
 


    A STUDY ON CONSUMERS PERCEPTION TOWARDS ORGANIC PRODUCTS WITH SPECIAL REFERENCE TO CHIDAMBARAM TOWN (2020)


    Dr. C. Vilvijayan, Dr. N. Lalitha
    JCR. 2020: 3593-3599

    Abstract

    Description

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    Volume & Issue

    Volume 7 Issue-8

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    On the Question of “Inclusive” Growth: Reflecting on the Realities and their Regional Dynamics (2020)


    Bashabi Gupta and Balakrishnan P
    JCR. 2020: 3056-3069

    Abstract

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    Volume & Issue

    Volume 7 Issue-5

    Keywords

    PERSONALITY TRAITS AND INVESTMENT DECISION (2019)


    Purnima M. Chouhan,Dr. Mahammadrafique U. Meman
    JCR. 2019: 2910-2920

    Abstract

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    Description

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    Volume & Issue

    Volume 6 Issue-6

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    Challenges for Fashion Retailing in India: A Quantitative Study of Fashion Brands (2019)


    OSHIN PRASHAR
    JCR. 2019: 319-327

    Abstract

    Fashion retail is the industry of purchasing clothing from producers and retailing it to clients. The majority of urban areas and other large towns are inundated with contemporary, organised retail outlets. One of the main corporate sectors of the Indian market is fashion retailing. Including its enormous population and increasing consumption, India, a developing country, has the potential to become a global powerhouse in the retailing sector. The Indian corporate sector has a wealth of options to investigate and reach the top. The main avenues wherein Indian retailers could focus and prosper are retailer promotional efforts. Retailers are able to thrive in the fashion sector by improving their rapid time to marketplace in reaction to consumer demands for contemporary clothes and fashions. The researcher had considered people from fashion retailing sector to know the challenges of fashion retailing in India. It is found through the study that increasing cost of borrowing money, Labour costs employee pay, Taxation, regulations, and infrastructures, high storage expenses for unsold inventory and Restricting exposure to cutting-edge technologies are major issues in fashion retailing

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    Volume & Issue

    Volume 6 Issue-1

    Keywords

    Academic Stress Among Government and Private College Students in Barpeta District of Assam-A Study (2020)


    Purabi Singha, Lutfun Rasul Saikia
    JCR. 2020: 1871-1878

    Abstract

    Todays world is considered as modern world as well as world of contemporary sphere, which can be explained as a world of procurement, advancements and achievements, is also a world of pressure and stress. Stress has become a prominent topic in academic cycle as well as in our community. Present study was undertaken to investigate whether there is any remarkable or significant difference in Academic Stress among the Government and Private College Students. Considering the purpose 200 students of class XII were pick out randomly from two different colleges, one is Government College and another is Private College and out of them 110 were chosen from Government College and rest 90 were chosen from Private College. Academic Stress Scale for College Students by Dr. Vikas S. Kamble (2015) was used for measuring academic stress of the college students. The analysis of data was done by applying Mean, Standard Deviation and t test to test the significance of the difference between the means in selected variables. Result of the study revealed that, Government and Private College students differ significantly in the areas of Academic Stress. Private College Students have experienced more academic stress than the Government College Students. Again, Male and Female college students also differ significantly in the areas of Academic Stress. Female college students have experienced more academic stress than the Male students. Moreover, there is also significant difference was found in Arts and Science college students in the areas of Academic Stress. Students from Science group have perceived more academic stress than their Arts counterparts.

    Description

    Academic Stress, Achievements, Advancements, Procurement, Stress.

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    Volume & Issue

    Volume 7 Issue-2

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    .

    REVIEW ON LINBO3 BASED EO-MZI FOR DESIGNING OPTOELECTRONICS DEVICES FOR WDM SYSTEMS (2020)


    Arun G, Dr. A. S. Rathore, Dr.Sudhir N Shelke
    JCR. 2020: 12566-12578

    Abstract

    The consistently rising demand for bandwidth makes it very difficult to grade electronic devices at these higher transmission rates, especially owing to their energy usage and power dissipation. Optics is a promising alternative for high-speed operations involving latch and memory components such as optical packet routing and ultra-fast computing. To achieve higher speed of data transfer, signal should be in the optical form. Semiconductor Optical Amplifier- Mach-Zehnder Interferometer (SOA-MZI) has played a significant role in the field of ultra- fast signal (optical) processing. In this article, review on LINBO3 based EO-MZI for designing optoelectronics devices for WDM systems has been discussed.

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    Volume & Issue

    Volume 7 Issue-19

    Keywords

    AN APPROACH TO EEG BASED EMOTION IDENTIFICATION BY SVM CLASSIFIER (2020)


    B. SATYANARAYANA
    JCR. 2020: 12583-12588

    Abstract

    Emotions are the requisites in our day-to-day life. Emotions are the psychophysiology states that are coupled with thoughts, feelings, behavioral responses, and a degree of satisfaction or dissatisfaction. There are various methods for achieving psychophysiology data from human beings such as Electroencephalography (EEG), Electrocardiography (ECG), Photoplethysmogram (PPG), blood volume pulse (BVP). In this paper, we have mainly focussed on EEG device for getting this data. Electroencephalography (EEG) is an electrophysiological monitoring method to note the electrical activity of the brain by the electrodes that are placed on the scalp. With the help of the deep dataset, we trained the Support Vector Machine (SVM), which is a classifier. The raw EEG data should be further processed to reduce the artifacts and features are selected to give the input to the SVM classifier. The outputs are in the form of valency and arousal values. The acquired results are having an accuracy of 83% in the detection of emotions

    Description

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    Volume & Issue

    Volume 7 Issue-19

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    INTERSTITIAL LUNG DISEASES USING HIGH RESOLUTION COMPUTED TOMOGRAPHY (HRCT) IMAGES (2019)


    B. SATYANARAYANA
    JCR. 2019: 549-559

    Abstract

    In the past decade years, medical image technologies have been rapidly growing. The x-rays, ultrasound (US), MRI scan and CT scan are the piliminary techniques to examine human diseases and CT techniques have more resolution images compared to other techniques. HRCT is another advanced technology derived from the CT familyand working in 3D to capture the images. HRCT techniques are used to examine all humankind problems like heart, brain, breast, lung, kidney etc. The diagnosis accuracy depends on expert doctors, radiologists or pathologists and wrong judgment leads to wrong treatment or diagnosis. To overcome this, introduce computer-based technology instead of manual operation because of its more efficiency, accuracy and achievedby transfer learning methods, reviewed by the end of the chapter

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    Volume & Issue

    Volume 6 Issue-7

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    HYPER SPECTRAL UNMIXING USING JOINT SPARSITY AND TOTAL VARIATION REGULARIZED MODEL (2023)


    Sk. Haseena, Shaik Safa Thahseen, Yanamandra Hema, Shaik Zakeera, Kotakonda Mounika
    JCR. 2023: 32-41

    Abstract

    Hyperspectral unmixing is the process of estimating constituent endmembers and their fractional abundances present at each pixel in a hyperspectral image. A hyperspectral image is often corrupted by several kinds of noise. This work addresses the hyperspectral unmixing problem in a general scenario that considers the presence of mixed noise. The unmixing model explicitly considers both Gaussian noise and sparse noise. The unmixing problem has been formulated to exploit joint sparsity of abundance maps. A total-variation-based regularization has also been utilized for modeling smoothness of abundance maps.

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    Volume & Issue

    Volume 10 Issue-3

    Keywords

    BEHAVIOR OF PERVIOUS CONCRETE USING MARBLE WASTE AS COARSE AGGREGATE (2022)


    B. Lakshmi, Akhila Devuni, Pavan Kumar Yadav, Gowtham P, Sai Kiran Etikyala
    JCR. 2022: 903-922

    Abstract

    Normal or conventional concrete, which is a combination of cement, sand, coarse aggregate and water, forms a hard surface. The fast urbanization and infrastructure developments cause compactly constructed buildings. Depletion of ground water is a major problem today due to the lack of percolation of rain water into the soil. The impermeable nature of conventional concrete restricts the flow of rainwater into the ground. Pervious concrete is one solution to this problem. Pervious concrete is also called enhanced porosity concrete, which is used widely nowadays due to its higher infiltrating ability. Pervious concrete is made up of cement paste, coarse aggregate with little or no fine aggregate. The paste binds the aggregate particles together to develop a system of interconnected and highly permeable voids that encourage the quick drainage of water. Generally, it is used in parking areas, areas with light traffic, residential streets, pedestrian roads and drain covers. On the other hand, many new methods and materials are being introduced for production of concrete to meet the increasing demand. The cost of production of aggregate is increasing at a shocking rate and there is a depletion of the natural resources which give the raw material for its manufacture. The use of waste material as a replacement of coarse aggregate in concrete has become the thrust area for construction industry. It can be used as partial replacement of aggregate in concrete, without compromising on its desired strength. The present research work is focused on pervious concrete made with black marble stone waste aggregate. In the present study, marble waste is used for the pervious concrete in the proportions of 0, 20, 40, 60, 80, 100% in place of natural coarse aggregate. To know the behavior of the above proposed Pervious concrete, an experimental investigation is done to evaluate different properties

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    Volume & Issue

    Volume 9 Issue-5

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    Investigating the Effectiveness of Blockchain Technology for Secure Data Storage and Sharing in Healthcare Systems (2023)


    Pankaj , Sudesh Chouhan
    JCR. 2023: 159-167

    Abstract

    Healthcare data has become increasingly digitized, facilitating effective communication among stakeholders but concurrently posing data security and privacy risks. This paper investigates the effectiveness of utilizing blockchain technology for secure data storage and sharing in healthcare systems. Blockchain, a distributed and immutable ledger system, offers significant potential for addressing healthcare data management problems. This study aims to ascertain the feasibility and effectiveness of a proposed blockchain-based methodology for secure healthcare data management, including storage and sharing. Initial results indicate that our model significantly enhances data security, privacy, and interoperability in healthcare data management. However, technical and regulatory challenges related to the adoption and implementation of blockchain technology in healthcare persist.

    Description

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    Volume & Issue

    Volume 10 Issue-1

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    Enhancing Software Testing through Image-Based Automation: A Mastery Approach (2020)


    P Raghavender Goud , Sachin Baraskar
    JCR. 2020: 12682-12690

    Abstract

    Software Testing, Image-Based Automation, Mastery Approach, Automation Tools, Test Case Generation, Quality Assurance

    Description

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    Volume & Issue

    Volume 7 Issue-19

    Keywords