Volume 12 | Issue 5

 Abstract

Women Entrepreneurship plays a prime role in industrial development. India has always been a land of entrepreneurs and also occupied a strategic position in the Indian economy. Today the village and MSME units account for about 45% of the total industrial production, 30% of the country exports and estimated to employ 96millions person in over 26 million units throughout the country. The government of India has defined women entrepreneurship based on women participation in equity and employed of a business enterprise. The researcher has taken this topic to identify the industrial profile, to identify the motivating factors of women entrepreneurs and contributing factors to the success and to analyze the relationship between industries related factors and success of entrepreneurs. The researcher has been selected 100 respondents from in and around Chennai City by convenience sampling method. The percentage analysis, weighted average rank analysis and chi-square statistical methods are used for the study.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Employed, Entrepreneurship, MSME and Strategic Position.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In present days of increasing software development environment sometimes it turns into challenging to mold the Product Lifecycle Management software as per requirement of clients. Most of the time user requires some simplified applications for its business solution and simplified process for their organization. To solve this problem client side customization is necessary means customize the client User Interface by using the Rich Architecture Customization and also used different Application Program Interface and Java language. Product Lifecycle Management is mainly concern about the data and through the Product Lifecycle Management we can integrate the data, people, processes and business systems. My aim is to import Legacy Data i.e. raw data present in form of physical files with different extensions to be imported in Teamcenter with same name of file to be given for Item Name, Revision Name and Dataset and I have also exported Workflow Inprocess Objects with Item ID, Item Name and Process Stage List i.e. Status from Teamcenter into MS Excel format. For this work I have used Teamcenter 12.0 along with Eclipse Photon tool, for client side customization. Data Exportation and Importation is an important activity in real-time implementation of Product Lifecycle Management which can be achieved through default functionality of PLM Teamcenter in xml format only. So, to export and import data according to client requirement in any format we have to use customization in PLM Teamcenter using API's provided by Siemens for client customization. By using the Eclipse plug-in project, I have made Swing Custom User Interface from that I can select file path in my computer where report is to be generated and by clicking export button data is exported in MS Excel format from Teamcenter.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Product Lifecycle Management, Rich Application Client Customization, Teamcenter 12, Eclipse Based Plug in Project, User Interface.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project introduces a cutting-edge fusion of technology to revolutionize the fashion shopping experience. By seamlessly integrating computer vision and augmented reality, it aims to redefine how customers explore, try on, and buy clothing. With precise measurements and virtual fittings, it addresses the issue of poor fit, reducing return rates and enhancing satisfaction. Additionally, it offers personalized dress recommendations, deepening the connection between customers and the platform. Overall, this initiative promises to usher in a new era of dynamic and immersive retail interactions while meeting the evolving expectations of modern consumers.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Evolution, Innovation, Digitalization, Customer Satisfaction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Introduction:- Terminalia arjuna has been reported to exhibit beneficial effects in ventricular hypertrophy, a serious consequence of hemodynamically stressful conditions like hypertension and valve disease, indicating its potential therapeutic role in mitigating this condition. Method:- This study aimed to identify potential compounds responsible for Terminalia arjuna's activity against cardiac hypertrophy and elucidate their mechanisms through network pharmacology and molecular docking. Databases including PubChem, KEGG, TTD, and PDB were mined to extract compound structures, probable targets, and relevant 3D structures. Molecular docking analysis was then conducted to assess interactions between active compounds and target proteins associated with cardiac hypertrophy. Result:- Network pharmacology unveiled the potential interaction of two compounds from TA, Luteolin and Apigenin, with MAP Kinase, a key enzyme implicated in pathological hypertrophic gene expression. Docking analysis further validated their capability to interact with MAPK. Conclusion:- TA might be having efficacy in cardiac hypertrophy via inhibition of MAPK through Luteolin and Apigenin.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Network pharmacology, molecular docking, Terminalia arjuna, Cardiac hypertrophy, 3D structures, PubChem, KEGG, TTD

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project presents an innovative method for precise bird species population estimation using sound recognition technology. Unlike traditional Convolutional Neural Networks (CNNs) which face challenges with time-frequency tasks like bird sound identification, our approach introduces a lightweight model with frequency dynamic convolution. This enhances feature extraction across various frequency bands. Model integrates Coordinate Attention and a feature fusion module, surpassing existing Lightweight CNNs in top1 and top5 accuracy with a 160-bird sound dataset. To boost the model's accuracy further, we applied a Hybrid Random Forest ensemble model. This method extracts features from the lightweight model and retrains them, achieving enhanced accuracy without using additional ensemble models.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bird Species,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

?????????? ????? ?? ?????????? ?????? ????????? ????? ?? ?? ???????? ?????? ?? ??????? ??-?????? ????? ???, ?????? ???? ???, ?????? ???? ??? ??????, ?????? ???? ?????, ??0 ????? ??? ???? ?????? ????? ??? ?? ?? ???? ????? ?????? ?? ???? ???? ?? ??????? ???? ???? ??? ??? 1863 ??? ????????? ?????????? ?? ?????? ??? ???? ?????? ???? ??? ?? ?? ???? ??? 1890 ??? ??????? ????? ?????? ??? ???? ?????? ???? ??? ??? ?? ???? ??? 1891 ??? ????????? (????? ??????) ?? ?????? ??????? ???????? ?????? ??? ???? ?????? ???? ????? ??? ?? ?? ???? ????? ?????? ?? ???? ???? ?? ????? ???? ???? ??? ??? 1899 ??? ???? ?????????????? ?????? ?? ???? ???? ???????? ??? ????? ??? ?? ???? 28 ???????, 2018 ?? ??????? ???? ???? ??? (??????? ?????????? ??? ??????) ?? ????? ?????? ?????? ??? ????

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

?????, ?????, ??, ?????, ????????, ???? ????

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Periodontal therapy is indicated in cases where there is a destruction of the periodontal ligament, the root cementum and the alveolar bone primarily caused by the bacteria found in the dental plaque. An ideal periodontal therapy aims to reduce pocket probing depth and gain in clinical attachment level. Conventional periodontal therapy results in attaining the above entities and reduces the inflammation but often results in gingival recession and the integrity of the papilla is usually not preserved. Hence, papilla preservation flaps were introduced, as it minimizes the post operative recession and preserves the integrity of the papilla. In this case report, conventional papilla preservation technique was done.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Papilla preservation flap, Modified papilla preservation technique, Simplified papilla preservation technique, Minimally invasive surgical techniques.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In our data-driven society, secure access to remote data storage and computation services is paramount. This paper introduces a novel biometric-based authentication protocol for secure cloud server access. Utilizing a user's biometric data as a secret credential, we derive a unique identity to generate their private key. Additionally, we propose an efficient method to establish a session key between communicating parties using biometric templates for secure message transmission. With detailed security analyses and formal verification, our approach withstands various known attacks. Extensive experiments and comparative studies underscore the efficiency and effectiveness of our proposed protocol.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud Services, Biometric

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study tackles the surging global electricity demand with a focus on efficient energy management. Emphasizing the need for accurate demand forecasting, it employs machine learning (ML) methods and distributed demand response initiatives. Through rigorous evaluation of various ML algorithms for short-term load forecasting (STLF), including logistic regression, support vector machines, and neural networks, the research identifies the decision tree classifier (DTC) as the top performer. Additionally, an enhanced DTC (EDTC) is proposed, integrating advanced features to refine control variables. Results showcase EDTC's superior forecast accuracy and performance metrics. Furthermore, an extension utilizing the XGBoost classifier demonstrates 100% accuracy in predicting high or low demand without additional tuning parameters, offering a streamlined alternative to the EDTC approach.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Load forecasting, Machine learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project proposes a machine learning model based on the co-existence of static features for Android malware detection. The proposed model assumes that Android malware requests an abnormal set of co-existed permissions and APIs in comparing to those requested by benign applications. To prove this assumption, the paper created a new dataset of co-existed permissions and API calls at different levels of combinations, which are the second level, the third level, the fourth level and the fifth level. The extracted datasets of co-existed features at different levels were applied on permissions only, APIs only, permissions and APIs, and APIs and APIs frequencies.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Drebin, Malgenome and MalDroid2020 datasets

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: In Tamil Nadu, India, the PUDHUMAI PENN SCHEME (PPS) is a crucial program that aims to empower omen through education and skill development. This study explores the extent to which Coimbatore City college students are aware of the PPS. Structured questionnaires were used to gather data from a sample of college students using a quantitative technique. The results of the analysis showed that respondent level of awareness varied, underscoring the necessity for improved dissemination tactics to optimize the scheme effectiveness. In order to increase awareness and involvement in the PPS and eventually promote gender empowerment, policymaker, educator, and stakeholders can benefits greatly from the insightful information provided by the findings.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pudhumai Penn Scheme Tamil Nadu government Women empowerment Economic empowerment Social empowerment Skill development Self-help groups Financial assistance Livelihood support Entrepreneurship opportunities

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Every year thousands of people in India lose their lives due to traffic accidents. The role of human factor plays a key role in the accidents. In general, the driver fatigue alone accounts for around 25 percent of the road accidents and up to 60 percent of road accidents result in death or serious injury. A main cause of fatigue is sleeplessness or insomnia. So, a drivers' drowsiness state is a major factor in severe road accidents that claims thousands of lives every year. The proposed system algorithm's robust performance in detecting drowsiness through face, the system also incorporates a unique feature to enhance its accuracy. By analyzing the orientation of the driver's head, specifically detecting instances where the head tilts either left or right, the system further refines its assessment of drowsiness. This additional parameter helps capture subtle signs of fatigue, such as the head nodding or leaning characteristic of drowsy driving. The system utilizes a facial land mark algorithm for face detection, minimizing the risk of inaccuracies associated with artificial feature extraction. Leveraging the Dlib toolkit, facial landmarks are identified, and the Eyes Aspect Ratio is introduced as a novel parameter for evaluating drowsiness. A fatigue state classifier, based on trained on Eyes Aspect Ratio data, contributes to the real-time monitoring of the driver. To gauge the gradual onset of fatigue, a variable is introduced, calculated as the number of drowsy frames per unit time. This dynamic assessment adds a temporal dimension to the drowsiness detection process, allowing the system to adapt to changing driver conditions. Simulated driving applications demonstrate the system's ability to quickly detect drowsiness in real-time from 640*480 resolution images at over 20fps, achieving an impressive accuracy of 98.80%.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Traffic, Accidents, sleeplessness, insomnia

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Portfolio management, the process of selecting investments to meet specific objectives, has increasingly turned to PHP for its robust capabilities in analyzing data and creating visual representations. With PHP libraries like PHP-ML and PHP Data, investors can gather and analyze investment data, while visualization tools like Chart.js and FusionCharts help them understand their investments' performance and identify areas for improvement. Advanced analytics techniques supported by PHP have greatly influenced investment practices by improving the accuracy of risk and return predictions and helping investors build portfolios tailored to their needs. However, challenges remain, such as ensuring transparency in models and reliability of data. Notable applications of PHP in portfolio management include credit assessment and financial prediction, offering investors valuable insights to make informed decisions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Portfolio Management, Python, Financial Data, Analysis, Risk Assessment, Asset Management.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The ambition of the study is to establish the association amidst public networking, specifically addiction to Instagram, and narcissism amongst both males and females. It suggests that Instagram, as a platform, fosters narcissistic tendencies such as a grandiose self-image and a craving for external validation. Employing a correlational comparative research approach, the study draws conclusions from a review of 15 relevant journals using keywords like "Instagram addiction" and "narcissism". Data collection involved a simple random sampling method, gathering responses from 120 participants through self-report questionnaires distributed physically and via Google Forms. The results indicate a significant link between narcissism and Instagram addiction. Notably, there's a significant divergence in the levels of narcissism and Instagram addiction among males, while the findings for females are comparatively weaker.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Instagram Addiction, Narcissism, Social media addiction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Customer perception towards online and offline shopping can vary depending on various factors such as personal preferences, past experiences, convenience and accessibility. Offline shopping is known as brick and mortar shopping can offer customers the opportunity to physically examine and test products before making a purchase. It can also provide a more personalized shopping experience, where customers can receive help and advice from knowledgeable staff. However, offline shopping can be time consuming and may involve travel, and may not offer the same range of products and prices as online shopping. On the other hand, online shopping has gained immense popularity in recent years due to the convenience it offers. Customers can shop from the comfort of their homers, without having to physically visit a store. They can also easily compare prices and products from different retailers, which can lead to better deals and savings. However, online shopping can also be seen as impersonal, and there can be concerns around the security of personal and financial information.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Customer perception, online and offline shopping.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Brand loyalty, a cornerstone of marketing, encapsulates consumers' steadfast allegiance to a brand. This abstract navigates the intricate dimensions of brand loyalty, exploring its conceptual framework, determinants, and strategic significance for businesses. It emphasizes the pivotal role of product attributes, emotional connections, and digital engagement in fostering enduring brand-consumer relationships. By unravelling the complexities of brand loyalty, businesses can strategize effectively to cultivate customer allegiance and secure a competitive edge in the marketplace.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Brand loyalty, consumer behaviour, brand relationships, determinants, marketing strategy, customer engagement, digital technology, competitive advantage

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The large-scale sharing needs of many enterprises promote the development of cloud storage. While the cloud computing stores the shared files outside the trust domain of the owner, the demands and concerns for file security is arising. In this, a Group Key Management Protocol for file sharing on cloud storage is proposed. Faced with network attacks from public channel, a group key generation scheme based on mixed encryption technology is proposed. And a verification scheme is used to prevent shared files from being attacked by the collusion attack of cloud providers and group members. Security and performance analyses indicate that the proposed protocol is both secure and efficient for data sharing in cloud computing.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud computing, data dispersion, data encryption, key management, storage security

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the realm of cybersecurity, countering distributed denial-of-service (DDoS) attacks stands paramount due to their detrimental consequences. This study delves into bolstering DDoS detection and classification by exploring the efficacy of 25 time-related features across 12 distinct DDoS attack types. Leveraging a blend of traditional and deep learning classifiers, our findings reveal impressive detection accuracy nearing 99%. Furthermore, these classifiers exhibit a commendable 70% accuracy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DDoS attack, cybersecurity, XGBOOS

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Staff Scheduling And Management System is a comprehensive solution designed to streamline the management of staffs functionals in educational institutions. With a focus on both teacher and administrator functionalities, the system offers a range of features to optimize scheduling efficiency and resource utilization. Teachers benefit from secure login and attendance marking, profile management options, and clear visibility of their timetables, while administrators have access to a centralized dashboard for creating, managing, and optimizing timetables. Key functionalities include fixed time duration enforcement for attendance marking, leave application management, and automated allocation of library periods for teachers who have exceeded predefined working hours. By providing a user-friendly interface and intelligent scheduling algorithms, the system aims to enhance transparency, communication, and productivity within educational institutions. Through its robust set of features and functionalities, the Staff Scheduling and Management System aims to address the complexities associated with staff timetable management in educational settings. By promoting punctuality, accountability, and equitable distribution of workload, the system enables institutions to optimize teaching resources and improve overall efficiency. Additionally, the system facilitates seamless coordination and collaboration between teachers and administrators, fostering a conducive environment for academic success. With its focus on enhancing user experience and promoting effective resource utilization, the Staff Scheduling And Management System emerges as a valuable tool for educational institutions seeking to streamline scheduling processes and achieve their academic objectives

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Staff scheduling system, Educational Institutions, Effective resource utilization, Equitable Workload Distribution, Academic Success, Streamline scheduling process, Request time off and approval process, Shift swapping and resolving scheduling conflicts, Manage availability and workload distribution, Effective communication between staff and administration.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper addresses the privacy concerns in blockchain-based bidding systems, where bidding records, once stored, become immutable and visible only to the bidder and seller. However, this security measure falls short in cases of coercion, potentially compromising user privacy. To mitigate this, we introduce Deniable Matchmaking Encryption (DME), enhancing privacy by providing deniability for both messages and identities. Utilizing the chameleon hash function, our scheme ensures that fake messages and identities are indistinguishable from real ones. As an extension, our modified DME algorithm enables all bidders to decrypt and view the winning notification, safeguarding both the winner's identity and the transparency of the bidding process, thereby preserving user privacy while maintaining system integrity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, DME

  License

Creative Commons Attribution 4.0 and The Open Definition