INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING & APPLIED SCIENCES
ISSN 2322-0821(E), ISSN 2394-9910(P)
An ISO 9001:2015 Certified Publication
Volume 10 Issue 1 January-March 2022
PAPER ID: IRJEAS04V10I101220322000001
Published: 10 January 2022
Journal: IRJEAS, Volume 10, Issue 1
Pages: 01-04
Keywords:
Abstract: The thesis proposes a method for introducing lean manufacturing using string diagram in an operating CNG high pressure storage tank manufacturing job shop at Jayfe Cylinder Ltd. Haryana. By applying lean manufacturing using process layout diagram to produce part families with similar manufacturing processes and stable demand, plants expect to reduce costs and lead-times and improve quality and delivery performance. The thesis outlines a method for assessing, designing, and implementing lean manufacturing using process layout diagram, and illustrates…
Cite this Article
Vivek Vishnu, Vineet Kumar Dwivedi. ENHANCEMENT OF PRODUCTION BY LEAN MANUFACTURING METHOD. International Research Journal of Engineering & Applied Sciences, (IRJEAS), 10(1), pp. 01-04, 2022. https://doi.org/10.55083/irjeas.2022.v10i01001.
PAPER ID: IRJEAS04V10I101220322000003
Published: 21 January 2022
Journal: IRJEAS, Volume 10, Issue 1
Pages: 13-16
Keywords:
Abstract: The proposed work implements a 8 bit controller based multi storey car parking system. This work aimed to make the current vehicle parking technique increasingly advantageous, easy to use, programmed and least human mediation. The central part of this system is a 8 bit microcontroller which takes care of parking and exit of vehicles. There are totally 3 floors (floor 0, 1 and 2) each containing 8 slots (slot 0 to slot 7) for parking of cars. Cars are carried to the available free slots in any floor by….
Cite this Article
Aaradhna Soni. MULTI-STORY AND INTELLIGENT CAR PARKING SYSTEM. International Research Journal of Engineering & Applied Sciences, (IRJEAS), 10(1), pp. 13-16, 2022. https://doi.org/10.55083/irjeas.2022.v10i01003.
PAPER ID: IRJEAS04V10I101220322000004
Published: 10 February 2022
Journal: IRJEAS, Volume 10, Issue 1
Pages: 17-24
Keywords: Artificial Intelligence, Cloud Computing, AWS, Identity and Access Management, Enhanced Security, Authentication, Authorization
Abstract:The advent of big data has intensified the significance of data engineering in managing and deriving insights from vast datasets. However, manual execution of routine tasks in data processing, transformation, and integration poses challenges in terms of efficiency and scalability. This research explores the transformative potential of integrating Robotic Process Automation (RPA) into data engineering workflows. RPA involves the use of software robots to automate rule-based tasks, mimicking human interactions with software systems. In the context of data engineering, this technology streamlines and automates tasks such as data extraction, transformation, and loading (ETL), aiming to accelerate processes and enhance overall data quality.
The paper begins with an overview of RPA and its application in data engineering, discussing the principles, challenges, and benefits of this integration. The methodology involves case studies from diverse industries, providing insights into real-world implementations of RPA in data engineering scenarios. The principles of scalability, accuracy, and adaptability are highlighted as key benefits of RPA in data engineering, enabling organizations to scale processes, maintain data quality, and adapt to changing data requirements.
Challenges associated with handling complex data scenarios, integrating with existing systems, and addressing security and compliance concerns are discussed. The benefits of time and cost savings, improved data quality, and enhanced agility are emphasized as outcomes of implementing RPA in data engineering workflows.
Looking ahead, the paper explores future directions, including the integration of RPA with advanced analytics, cognitive automation, and the establishment of industry standards and best practices. The conclusion highlights the paradigm shift introduced by RPA in data engineering, addressing challenges while presenting compelling benefits for modern data workflows.
This research contributes to the understanding of RPA’s role in reshaping data engineering practices, providing valuable insights for organizations seeking to enhance the efficiency, accuracy, and adaptability of their data processes
PAPER ID: IRJEAS04V10I101220322000005
Published: 21 February 2022
Journal: IRJEAS, Volume 10, Issue 1
Pages: 25-28
Keywords:
Abstract:
In today’s digital landscape, the migration to cloud platforms is accelerating, making cloud security a paramount concern. This research paper explores the integration of Artificial Intelligence (AI) with Amazon Web Services (AWS) Identity and Access Management (IAM) to enhance cloud security frameworks. Leveraging AI’s predictive capabilities alongside AWS’s robust IAM tools can significantly improve perimeter security, streamline authentication and authorization processes, and provide proactive responses to emerging threats. The paper discusses the methodology, system architecture, empirical results, and the broader implications for cloud security.
Review Article
LICENCED UNDER
FIND ON
CROSSREF
SCILIT
CROSSMARK
Secure Coding Practices in Mobile App Development
DOI: 10.55083/irjeas.2022.v10i1010
Country- INDIA
Venkat Nutalapati
PAPER ID: IRJEAS04V10I101220322000010
Published: 25 February 2022
Journal: IRJEAS, Volume 10, Issue 1
Pages: 29-34
Keywords: Android Security, Authentication and Authorization, Code Obfuscation, Data Encryption, Insecure Data Storage, iOS Security, Mobile App Development, Mobile App Security, Mobile Application Vulnerabilities, OWASP Guidelines, Secure Coding, Secure Communication.
Abstract:
As mobile applications become increasingly integral to modern life, ensuring their security has never been more critical. The rapid proliferation of mobile devices and applications has transformed them into prime targets for a variety of cyber-attacks, making robust security measures essential. This paper delves into the common vulnerabilities that compromise mobile applications, including insecure data storage practices, inadequate protection of data in transit, and weaknesses in authentication mechanisms. It provides an in-depth analysis of industry standards and best practices designed to address these issues, drawing on guidelines from the Open Web Application Security Project (OWASP) and specific recommendations for Android and iOS platforms. The paper examines the effectiveness of these standards in mitigating security risks and presents practical recommendations for developers, including the adoption of secure coding practices, encryption techniques, and regular security testing. By analyzing case studies of recent security breaches, the paper highlights the lessons learned and the evolving nature of threats. These insights are intended to help developers enhance the security posture of their applications, ensuring that user data remains protected in an increasingly interconnected and vulnerable digital landscape.