Volume 11 | Issue 5 |

 Abstract

Tamper Proof Device is used to detect any sort of movement or disturbance. This device gives alert when someone interferes with the system in order to cause damage or make unauthorised alterations. This device consists of MPU6050 which is a Micro Electro- mechanical system (MEMS), it consists of three-axis accelerometer and three-axis gyroscope. It helps us to measure velocity, orientation, acceleration, displacement and other motion like features. The security device further includes Radio Frequency Identification (RFID) circuit configured to provide access to the device. The device includes a microcontroller (ESP32D chip), RFID reader and MPU. When there is an unauthorised alteration detected from the device the system activates the interrupt function which will send an alert message to the authorised mobile number and also gives a warning alarm. This system is enabled with deep sleep mode for maximum power savings. Further this can be used to protect embedded system and in military applications. A tamper detection device can determine whether a housing containing a device has been tampered with either by having the housing penetrated or by an attempt to remove a cover from the housing. The tamper detection device may be a capacitor which is placed across a portion of the housing and whose capacitance changes if it is penetrated. The temper detection device may also be a flexible circuit having conductive strips thereon forming a circuit with means to cause an open circuit if the housing is penetrated or the cover removed from the housing.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ESP-32 Chip, RFID, MPU6050, MEMS

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Today brands are enormous in numbers and not all the brands attain their goal of establishment due to satisfaction of the customers and customer's loyalty towards the brand. Customer satisfaction is a measurement that determines how happy customers are with a company's products and service that the brand provides. Customer loyalty is the outcome of customer satisfaction. This customer loyalty comes from various criteria's of the brand which includes the price, quality, satisfaction of the need. This study identifies that the satisfaction of using the brand impacts the loyalty of not changing the brand or switching over other brands. The research is descriptive in nature. Furthermore, the customer trust impacted by customer satisfaction which proved that customer satisfaction is an antecedent of customer satisfaction, a direct relationship between customer satisfaction and loyalty was observed. The future studies may replicate in other service contexts and comparison of models of government and private banks will give more understanding. The study is mainly developed to find out the relationship between customer satisfaction and customer loyalty. How customer satisfaction impacts the loyalty of customers by not switching to other brands.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Customer loyalty, Customer satisfaction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Now a day's cloud computing is used in many areas like industry, military colleges, healthcare, etc. to store huge amounts of data. We can retrieve data from cloud at request of a user. To store data on the cloud we have to face many issues. To provide the solution to these issues there are n number of ways. In Cloud Users can remotely store their data to the cloud & realize the data sharing with others. In Some Common cloud storage system such as the electronic health records system, the cloud file might contain some sensitive information. Encrypting the whole shared file can realize sensitive information hiding, but will make this shared file unable to be used by others. In cloud computing more Sensitive information hiding in cloud. This is very big problem that remote data integrity auditing scheme that realizes data sharing with sensitive information hiding in this cloud. In our System, our scheme makes the file stored in the cloud able to be shared and used by others on the condition that the sensitive information is hidden, while the remote data integrity auditing is still able to be efficiently executed. Meanwhile, the proposed scheme is based on identity-based cryptography, which simplifies complicated certificate management.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AWS, EC2, Cloud computing, data storage, security, data management.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Stock markets price prediction is a difficult undertaking that has historically required substantial human-computer cooperation. Because stock prices are interrelated, traditional batch processing techniques cannot be used effectively for stock market research. It is practically impossible to estimate stock prices to the penny due to the unpredictability of the factors that affect price movement. However, an informed estimate of pricing is attainable. The data is provided in the form of corporate stock data, which will be evaluated in real-time. The system produces an output in a graphical form that depicts the predicted future stock price. Hence we have proposed a solution to predict the stock market prices using the machine learning algorithm

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

tock market,price prediction,stock market research,machine learning algorithm.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Campus recruitment is an important process for both students and employers. For students, it offers the opportunity to explore potential career paths, gain valuable work experience, and secure a job after graduation. For employers, it provides access to a pool of talented candidates who are just entering the job market. The campus recruitment process typically involves several steps, including job postings, resume screening, interviews, and job offers. Effective communication between students, colleges, and recruiters is critical at each of these steps to ensure that the process runs smoothly and efficiently. By providing a direct and streamlined means of communication, apps like RecruitMe can help to improve the efficiency of campus recruitment and make it easier for stakeholders to connect and exchange information.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Campus recruitment, Job postings, Interviews, Job offers, Effective communication, Colleges, Recruiters, Streamlined communication, Information exchange

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The process of identifying a company's strengths and weaknesses is referred to as financial analysis. By determining the relationship between the items on the balance sheet and profit and loss account of the business, the study is completed. The investigation was conducted by examining HCL Technologies' five-year financial statements. The study's primary goals are to determine the company's financial analysis and to assist in determining the company's growth. Secondary data is used in this study. The current ratio, quick ratio, cash ratio, dividend payout ratio, debt to equity ratio, debt to asset ratio, asset turnover ratio, basic earnings per share, and other metrics were employed in the study.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial performance analysis, Ratio analysis.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Skin is an Extra-ordinary human structure. People frequently suffer from many known and unknown diseases. There are the large number of spread diseases and some of them are the most common disease in the world. The diagnosis of these diseases are very difficult because of its difficulties in skin texture, presence of hair on skin and color. Due to the lack of medical facilities available in the remote areas, patients usually ignore early symptoms which may be worsen the situation as the time progress. The diagnosis of skin Disease also take longer time. It is required to develop methods of diagnosis using machine learning in order to increase the accuracy of diagnosis for various types of skin diseases. Machine learning techniques are widely used in medical fields for diagnosis. These algorithms use feature values from images as input to make a decision. The process consists of three stages-The feature extraction stage, the training stage and the testing stage. The process makes use of machine learning technology to train itself with the various skin images. The objective of this process is to increase accuracy of skin disease detection. Three important features in image classification are texture, color, shape, and combination of these. In this work, color and texture features are used to classify the skin disease. Normal skin color is different from the skin with disease. Smoothness, coarseness, and regularity is effectively identified using texture features in the images. Hence, these two features are explored to identify skin disease effectively. In this work, entropy, variance and maximum histogram value of Hue-Saturation-Value(HSV) features are used. These features are used to build machine learning algorithm by using Decision Tree(DT)and Support Vector Machine(SVM). At first level, entropy measure is used to split the tree. At second level, variance is used to get leafs for textures. In color features, maximum histogram value of HSV measure is used to split the tree. Accuracy is used to test the performance of the proposed algorithm.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Skin Diagnose machine learning SKINDISEASE,CNN,IMAGE CLASSICICATION

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The world is in chaos. Stress, anarchy, social evils, unrest, war, strife and a struggle for existence are continually on the rise. Lord Krishna in Bhagavad Gita Verse 3.31 says that yadyadacaratisreshthatadtadevatarojanah, sayatpramanamkurutelokas tad anuvartate(whatever action a great man performs, common men follow. And whatever standards he sets by exemplary acts, all the world pursues) (Prabhupada2003). According to Trichy and Cohen (2002), 'in a competitive environment, organizations need leaders who can determine the direction; who can redirect the organizational energies and decide what needs to be done.' Are our current world leaders are exhibiting the right principles on which to lead one's life and setting the right examples? Ancient scriptures such as the Ramayana and the Mahabharata (which includes the Bhagavad Gita), amongst other wisdom, contain Life Management principles based on which mankind can lead happy, successful and fulfilling lives. If leaders make a thorough study of these principles, explain them in society and follow the principles, the world would be a much better place. This paper strives to dive deep into our ancient scriptures and explore the principles of life management which act as a solid foundation for long term development and prosperity. The extant literatures have explored the principles such as human capital development, stress management and copying strategy, and management principles from Bhagavad Gita (Chandekar, 2012;Verma and Singh 2014;Satpathy 2008).This study intends to have an in-depth study of Bhagavad Gita to clearly bring out the Life Management principles useful for our day to day life. The paper utilizes the methodology of Hermeneutics to scrutinize several editions (authors) of the Bhagavad Gita including Bhagavad Gita As It Is interpreted by Prabhupada (2003) to arrive at the principles. Following are some principles drawn from the Bhagavad Gita: o Stress is inevitable in this world, but suffering is an option. Those who are spiritually strong develop the quality of absorbing pain without being disturbed. o Ati sarvatra vivarjitah. Excess of anything is bad. The Gita says in Verse 6.17 that one can mitigate all miseries by performing Yoga and by being regulated in one's habits of eating, sleeping, recreation and work. o The Art of Working is to work with knowledge and detachment as one's duty towards the Supreme. Verse 2.47 describes the art of working in this world. o Instead of focusing on too many projects at a time, better to focus on few.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Karmayoga, Vedic Life Management, Art of Smart Working.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Helicobacter pylori is a Gram-bad microaerophilic bacterium dispensed at some stage in the acid-secreting gastroduodenal mucosa in human beings. Colonization by using Helicobacter pylori is not itself a ailment, but infection reasons a ramification of medical problems inside the top gastrointestinal tract. Concomitant antibiotic therapy is suggested as first-line treatment. however, the development of resistance to antibiotics, undesirable aspect effects, and the excessive value of treatment make this disorder very difficult to treat successfully. pylori remedy. The look for opportunity naturopathic medicines which are cheaper, free of unwanted side effects, and with ease to be had to most people takes time. A recent have a look at discovered that the usage of medicinal flora can lessen Helicobacter pylori contamination. on this regard, latest reports in Ayurvedic texts point out Sunti (Zingiber officinale), Rasona (Allium sativum), Campiraka (Mallotus philipinensis), Karajaji (Nigella sativa), Chitraka (Plumbago zeylanica), Sarpangka, and so on. i'm right here. It reflects gastroprotective medicinal plant life with giant anti-H. pylori interest. it's miles consequently concluded that the inclusion of herbal antioxidants in the normal day by day weight loss program may be the first-rate remedy for endured protection in opposition to Helicobacter pylori contamination.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

H pylori,ulcers,gasric cancer ,cag A, vac A , eosinophils, neutrophils, mast cells,urease

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper aims to address the challenges of creating accurate, concise, and pertinent responses from lengthy content when answering predetermined or generated queries. This research is part of the Explainable AI (XAI) field, which has struggled to find algorithms that balance predictive accuracy with transparency and explainability. While some NLP learning methods prioritize improving prediction accuracy, others like Bayesian belief nets and decision trees excel at promoting transparency and explainability. In addition, pre-trained language models like BERT and GPT need customization using specific datasets to achieve the desired final model. In this research paper, we investigate techniques to enhance the performance of existing KBQA systems and QA generators. We propose an approach that leverages the anatomy of long-form content to improve the quality of the questions and answers generated. Our approach comprises two components: a transformer-based model, DistilBERT, fine-tuned on datasets for the QA task, and a T5-based model coupled with a custom DataCollator to form input batches of dataset elements. Our approach shows promising results on benchmark datasets, outperforming state-of-the-art methods for both KBQA systems and QA generators. Our findings suggest that by considering the structure and semantics of long-form content, we can significantly improve the accuracy and relevance of the generated questions and answers, thereby improving the overall performance of KBQA systems and QA generators. In conclusion, this paper offers techniques to improve the accuracy and pertinence of responses derived from extensive content, contributing to the development of Explainable AI (XAI). By leveraging the structure and semantics of long-form content, our approach shows promise in enhancing the performance of KBQA systems and QA generators, providing an important step towards the creation of more advanced and efficient AI systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Question-Answering system , Context-Question matching , Deep Learning , Seq2Seq Model , LSTM , Attention Mechanism , Encoder , Decoder , NLP, Text analysis

  License

Creative Commons Attribution 4.0 and The Open Definition