International Journal of Recent Technology and Engineering (IJRTE)

Journal Information
EISSN : 2277-3878
Total articles ≅ 11,088
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Lakshmisetty Ruthvik Raj, Bitra Harsha Vardhan, Mullapudi Raghu Vamsi, Keerthikeshwar Reddy Mamilla, Poorna Chandra Vemula
International Journal of Recent Technology and Engineering (IJRTE), Volume 10, pp 209-214; https://doi.org/10.35940/ijrte.c6386.0910321

Abstract:
COVID-19 is a severe and potentially fatal respiratory infection called coronavirus 2 disease (SARS-Co-2). COVID-19 is easily detectable on an abnormal chest x-ray. Numerous extensive studies have been conducted due to the findings, demonstrating how precise the detection of coronas using X-rays within the chest is. To train a deep learning network, such as a convolutional neural network, a large amount of data is required. Due to the recent end of the pandemic, it is difficult to collect many Covid x-ray images in a short period. The purpose of this study is to demonstrate how X-ray imaging (CXR) is created using the Covid CNN model-based convolutional network. Additionally, we demonstrate that the performance of CNNs and various COVID-19 acquisition algorithms can be used to generate synthetic images from data extensions. Alone, with CNN distribution, an accuracy of 85 percent was achieved. The accuracy has been increased to 95% by adding artificial images generated from data. We anticipate that this approach will expedite the discovery of COVID-19 and result in radiological solid programs. We leverage transfer learning in this paper to reduce time complexity and achieve the highest accuracy.
Yadvendra Prasad Dubey, Smt Jyoti Tiwari
International Journal of Recent Technology and Engineering (IJRTE), Volume 10, pp 236-239; https://doi.org/10.35940/ijrte.c6346.0910321

Abstract:
The problem of Discrete C2 Rational Cubic Spline has been proposed and Error bound obtained. The Discrete Rational Method have unique representation.
Kota Akshith Reddy, Satish C J, Jahnavi Polsani, Teja Naveen Chintapalli, Gangapatnam Sai Ananya
International Journal of Recent Technology and Engineering (IJRTE), Volume 10, pp 131-139; https://doi.org/10.35940/ijrte.c6439.0910321

Abstract:
Automatic Image Caption Generation is one of the core problems in the field of Deep Learning. Data Augmentation is a technique which helps in increasing the amount of data at hand and this is done by augmenting the training data using various techniques like flipping, rotating, Zooming, Brightening, etc. In this work, we create an Image Captioning model and check its robustness on all the major types of Image Augmentation techniques. The results show the fuzziness of the model while working with the same image but a different augmentation technique and because of this, a different caption is produced every time a different data augmentation technique is employed. We also show the change in the performance of the model after applying these augmentation techniques. Flickr8k dataset is used for this study along with BLEU score as the evaluation metric for the image captioning model.
Temesgen Abera Takiso, Birtukan Tekle Manbecho, Ethiopia. Worked At Infrastructure Of The Municipality Of Gimbichu City
International Journal of Recent Technology and Engineering (IJRTE), Volume 10, pp 117-129; https://doi.org/10.35940/ijrte.c6448.0910321

Abstract:
PV solar energy is the upcoming king of the energy source in the world, which is the fastest growing, most available, sustainable, clean, and environmentally friendly renewable energy. The essential characteristic of PV solar energy is generating the maximum power at mid-day. At the same time, the energy demand is high during the daytime. Due to this, PV solar energy replaces the conventional energy demand at peak periods. The sun is the source of PV solar energy, and it changed into electricity directly by using solar cells, which are made from semiconductor materials called silicon. Therefore, PV solar energy plays a crucial role in providing usable energy, and as well as reducing carbon dioxide emissions. However, the solar energy generation systems not achieved the desired efficiency yet, because of many unsolved problems like weather conditions, losses, materials made by and so on. The aims of this paper is to review the current literature on the improvement of the PV solar energy generation system's overall performance. First, to figure out the existing challenges, like environmental factors and natural phenomena that affect the PV solar modules efficiency. Then it presents the techniques that are used to enhance the PV solar modules overall performance. Finally, to propose the best ways and techniques to improve the PV modules efficiency and suggest to further studies.
Pratibha Gayke Shinde, Rohini S Kulkarni
International Journal of Recent Technology and Engineering (IJRTE), Volume 10, pp 31-35; https://doi.org/10.35940/ijrte.b6402.0910321

Abstract:
Now a day’s supported visual and audio cues for automatic depression assessment may be a fast emerging research subject. This comprehensive evaluation of existing methodologies focuses on machine learning (ML) algorithm and image processing (IP) algorithm, as documented in over sixty articles over the last ten years. There is a visual indicator of depression, several data collection procedures are used, and finally examined the previous year or existing datasets. In this article describes techniques and algorithms as well as methods for dimensionality reduction, visual feature extraction, regression approaches, and classification decision procedures, and also various fusion tactics. A significant meta-analysis of published data is given, based on performance indicators that are robust to chance, to identify general trends and important pressing concerns for further research using visual and verbal cues alone or in combination with signals for automated depression evaluation The suggested work also used deep learning and natural language processing to estimate depression levels based on current video data.
K. Pradeeba, A. Rajasekaran
International Journal of Recent Technology and Engineering (IJRTE), Volume 10, pp 67-70; https://doi.org/10.35940/ijrte.c6422.0910321

Abstract:
This paper enumerates the effectiveness of externally bonded Hybrid Fiber Reinforced Polymers (HyFRP) laminates on reinforced concrete beams for flexural strengthening. A total of 5reinforced concrete beams of size 150 x 250 in cross section and length of 3000mm were considered in this study. All the beams were tested in four-point bending over a simple span of 2800 mm. Of the above five beams, one beam served as reference beam and the other four beams were HyFRP laminated. The variables considered in this study included thickness of HyFRP laminate and composite ratio. Adequate measurement was acquired on load and deflection characteristic of HyFRP strengthened as well as reference beam.
, Jaypal Medida, N. Laxmi Prasanna
International Journal of Recent Technology and Engineering (IJRTE), Volume 10, pp 46-54; https://doi.org/10.35940/ijrte.c6417.0910321

Abstract:
Internet of Things (IoT) refers to the concept of connecting non-traditional computers and related sources with the help of the internet. This includes incorporating basic computing and communication technologies for daily use into Physical things. Security and Confidentiality are two major challenges in IoT. In the current security mechanisms available for IoT, the limitations in the memory, energy resources, and CPU of IoT devices compromises the critical security specifications in IoT devices. Also, the centralized architectures for security are not appropriate for IoT because of a Single attack point. It is costly to defend against attacks targeted on centralized infrastructure. Therefore, it is important to decentralize the IoT security architecture to meet the requirements of resource constraints. Blockchain is a decentralized encryption system with a large number of uses. However, because of its high computational complexity and poor scalability, the Traditional Blockchain environment is not suitable for IoT applications. So, we introduce a Sliding window protocol to the traditional blockchain so that it will better suit the applications in the IoT environment. Changing the conventional blockchain and introducing a sliding window to it makes it use previous blocks in proof of work to shape the next hash block. SWBC's results are analyzed on a data stream generated from an IoT testbed (Smart Home) in real-time. The results show that the proposed sliding window protocol improves security and reduces memory overhead and consumes fewer resources for Security.
Gayathri T.J
International Journal of Recent Technology and Engineering (IJRTE), Volume 10, pp 184-187; https://doi.org/10.35940/ijrte.c6465.0910321

Abstract:
This study is to find out and analyse the factors influencing job stress and job satisfaction and its impact on performance of Medical Representatives working under pharmaceutical industry,at Central Kerala districts (PALAKKAD, THRISSUR, ERNAKULAM and IDUKKI). We all know that increased stress leads to reduced productivity and also overall affects the overall performance.Stress is a universal phenomenon and common challenge to employee productivity,it is the unavoidable reality of modern day workplace.Apart from other professions, Medical Representative’s daily life or work involves continuous field work, continuous travelling, waiting for Dr visits, administrative work, sales pressure, and more.. Medical Representatives need to be always physically fit, mentally alert & attentive, presentable, punctual, patient, committed, responsive, skilled communicator, and an extrovert person to be able to succeed in the amazing competitive field of Pharmaceutical industry.
Kodai Miyamoto, Taketo Kamasaka, Makoto Sakamoto, Tsunehiro Yoshinaga
International Journal of Recent Technology and Engineering (IJRTE), Volume 10, pp 164-169; https://doi.org/10.35940/ijrte.c6462.0910321

Abstract:
Traffic congestion has become a serious social problem in Japan. In particular, traffic congestion causes enormous time and economic losses on expressways, which are intended to facilitate smooth traffic flow. It also causes environmental problems and a decrease in logistics efficiency, so efforts to eliminate or reduce traffic congestion are essential. The elimination and mitigation of traffic congestion on highways is a factor in reducing traffic accidents and fatalities. In recent years, with the improvement of computing capabilities, research on traffic congestion reduction and mitigation has been conducted using traffic simulation. Traffic simulation allows us to reproduce and evaluate traffic phenomena that occur on roads on a computer. The Kakuto Tunnel is located on the border between Ebino City in Miyazaki Prefecture and Hitoyoshi City in Kumamoto Prefecture. The Kakuto Tunnel has insufficient traffic capacity and is frequently congested on holidays. In this study, we created a traffic simulator assuming the Kakuto Tunnel. In the simulation, we examined the effectiveness of increasing the number of lanes as a method of reducing traffic congestion.
, , , Juan Carlo F. Greganda, Steven Valentino E. Arellano,
International Journal of Recent Technology and Engineering (IJRTE), Volume 10, pp 198-205; https://doi.org/10.35940/ijrte.c6474.0910321

Abstract:
This Raspberry Single-Board Computer-Based Object and Text Real-time Recognition Wearable Device using Convolutional Neural Network through TensorFlow Deep Learning, Python and C++ programming languages, and SQLite database application, which detect stationary objects, road signs and Philippine (PHP) money bills, and recognized texts through camera and translate it to audible outputs such as English and Filipino languages. Moreover, the system has a battery notification status using an Arduino microcontroller unit. It also has a switch for object detection mode, text recognition mode, and battery status report mode. This could fulfill the incapability of visually impaired in identifying of objects and the lack of reading ability as well as reducing the assistance that visually impaired needs. Descriptive quantitative research, Waterfall System Development Life Cycle and Evolutionary Prototyping Models were used as the methodologies of this study. Visually impaired persons and the Persons with Disability Affairs Office of the City Government of Biñan, Laguna, Philippines served as the main respondents of the survey conducted. Obtained results stipulated that the object detection, text recognition, and its attributes were accurate and reliable, which gives a significant distinction from the current system to detect objects and recognize printed texts for the visually impaired people.
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