Journal of Science & Technology (JST)
Not a member yet
967 research outputs found
Sort by
Designing Reliable Trans Multiplexers in Noisy Environments
An optimum strategy for the design of trans multiplexer systems in the presence of noise is introduced. We consider the challenge of reducing the reconstruction error for a trans multiplexer system with fixed transmit terms and a target attenuation of crosstalk between bands. We may make the suboptimal reconstruction error system less vulnerable to variations in input signals and channel disturbances by using mixed H2/H optimization. Crosstalk between channels is to be anticipated due to the overlap of neighbouring subchannels. Crosstalk attenuation is posed as a H optimization problem and is decomposed into a set of linear matrix inequalities (LMIs). The simulation results show that the suggested design outperforms the state-of-the-art designs
An Approach of Secure Qr Code Using Cryptography to Secure the Govt Research Information
Government division may be a crucial portion of the nation’s economy. Security of government inquire about substance from all sorts of dangers is basic not as it were for trade coherence but too for supporting the economy of the country as a entirety. With the digitization of conventional records, government substances experience troublesome issues, such as government capacity and access. Research office spend significant time questioning the specified information when getting to Government investigate substance subtle elements, but they gotten information are not fundamentally rectify, and get to is some of the time limited. On this premise, this think about proposes a investigate substance which utilize ciphertext-based encryption to guarantee information privacy and get to control of record subtle elements. The investigate head may scramble the put away data for accomplishing get to control and keeping information secure. In this manner AES Rijndael calculation is utilized for encryption. This guarantees security for the data and empowers Protection
Secured And Efficient Data Duplication With Re-Encryption Techniques
To get rid of duplicate copies and conserve bandwidth, data duplication is a vital approach in cloud storage. A convergent encryption strategy is suggested to encrypt data before outsourcing to maintain sensitive data confidentially. This work considers varied user privileges in duplicate checks to address authorized data duplication. In a hybrid cloud architecture, it introduces novel duplication structures that facilitate authorized duplicate checking. The proposed authorized duplicate check technique is constructed and tested, and security analysis proves the scheme's security. When compared to standard operations, the proposed system has a low overhead. Before outsourcing data into the cloud, encryption measures are frequently employed to ensure secrecy, however, commercial storage providers are hesitant to utilize encryption due to the possibility of different cipher texts. Convergent encryption, which protects data secrecy while permitting duplication, has been offered as a solution to these problems. Systems for cloud storage have difficulty maintaining duplication, dependability, and confidentiality. Duplication is a method for maximizing the use of storage resources by preventing the creation of duplicate copies of the same material. Both single-cloud duplication architecture and multi-cloud duplication architecture are categories for it
Hotel Reviews Analysis Using Machine Learning Algorithms and Text Mining Model
In the era of digital decision-making, where consumers heavily rely on online reviews, the authenticity of these reviews becomes paramount. However, the proliferation of fake reviews poses a significant challenge. In response, this study introduces and analyzes machine learning algorithms dedicated to discerning genuine feedback from deceptive ones within the context of hotel reviews and Online reviews have a significant impact on today‘s business and commerce. Decision-making for the purchase of online products mostly depends on reviews given by the users. Hence, opportunistic individuals or groups try to manipulate product reviews for their interests. This paper introduces some semi-supervised and supervised text mining models to detect fake online reviews as well as compares the efficiency of both techniques on datasets containing hotel review
ENHANCING BLOCKCHAIN INTEROPERABILITY WITH DECENTRALIZED CONSENSUS AND MULTI-SIGNATURE PROTOCOLS FOR SECURE TRANSACTIONS
One major obstacle to achieving the full potential of decentralized systems is blockchaininteroperability. The segregated contexts where current blockchain networks function restrict theircapacity to trade assets and data safely. This study suggests a unique architecture that uses multi-signature protocols and decentralized consensus techniques to enable smooth cross-chaintransactions. The suggested solution solves scalability and security issues while improving efficiency, privacy, and transparency by integrating public and private blockchains. The systemguarantees secure transaction validation through adaptive consensus protocols and multi-signatureauthentication, greatly enhancing interoperability. Compared to traditional models, performanceassessments show a 36% increase in transaction speed, a 42% decrease in cross-chain transactionlatency, and a 25% improvement in network scalability. According to security studies, blockchainsecurity is strengthened by a 51% reduction in double-spending vulnerabilities and a 40%reduction in transaction failure rates. These findings demonstrate the model's potential to providea decentralized, trustless marketplace, promoting safe and effective blockchain use across the IoT,healthcare, and financial sectors. The suggested method improves blockchain interoperability byfacilitating smooth, scalable, and safe interactions in diverse blockchain ecosystems
Empower Teenagers and Farmers about Food Preservation and Processing Technique
This study focuses on food preservation techniques for highly perishable vegetables, specifically potatoes, tomatoes, and bottle gourds. The research aims to conduct a nutritional analysis of the processed products, including potato powder, tomato powder, and bottle gourd murabba. Additionally, sensory analysis will be performed to evaluate the quality and acceptability of the preserved items. Furthermore, a farmer demonstration will be conducted to educate and showcase the preservation techniques to farmers. To assess the nutritional value of the processed products, a detailed nutritional analysis will be carried out. This analysis will include determining the levels of moisture content, ash content, pH, lycopene content, starch, and TSS of the potato powder, tomato powder, and bottle gourd murabba. Also microbial analysis should be done to study the shelf life of product. The findings will provide valuable insights into the nutritional content, potential health benefits and shelf life of these preserved products. Sensory analysis will be conducted to evaluate the sensory attributes of the preserved items. untrained panelists and consumers will participate in the evaluation, assessing factors such as taste, texture, aroma, and overall acceptability. Furthermore, a farmer demonstration will be organized to educate farmers about the preservation techniques. The demonstration will involve step-by-step training on preserving potatoes, tomatoes, and bottle gourds using the sun drying method. Farmers will learn the proper procedures for slicing, drying, and preserving the vegetables, as well as the various applications and benefits of the preserved product. Overall, this research has the potential to enhance food security, reduce waste, and promote sustainable agricultural practices
REVIEW ON A DECODER FOR SHORT BCH CODES FOR EMERGING MEMORIES
These emerging memories also struggle with reduced reliability as technology scales down, and as a solution, error-correcting code (ECC) and its encoder / decoder circuits have been applied. While NAND flash requires a powerful ECC that can correct up to 100 errors, As well as simply increasing the memory capacity, ECC can be used to optimize memory performance with regard to density and energy consumption, The ECC has thus become an essential part of developing memories. The Bose – Chaudhuri – Hocquenghem (BCH) software is commonly used for evolving memories to correct two or three errors
Suspicious Account Detection Using Machine Learning Techniques
In the current generation, social networking sites have become an integral part of life for most people. On social networking sites such as Facebook, Instagram, and Twitter, thousands of people create their profiles daily, interacting with each based on the classification for detecting Suspicious accounts on social networks. Here the traditionally way has been used for different classification methods in this paper. The implementation of machine learning and natural language processor (NLP) techniques are done to enhance the accuracy of others regardless of location and time. Our goal is to understand who encourages threats in social networking profiles. To determine which social network profiles are genuine and which ones are Suspicious profiles, The support vector machine (SVM) and Naves bays algorithm technique can also be applied to achieve this strategy
Secure Mobile Cloud Storage
Data may be stored on a cloud and accessible from anywhere using mobile devices thanks to mobile cloud storage (MCS). MCS services are provided for commercial use by sizable firms like Apple I Cloud, Dropbox, Microsoft One Drive, and Google Drive. Since customers may not fully trust clouds, data security may be achieved using encryption techniques. However, sensitive data, including location data, is frequently included in location-based apps. This exposed data can be used to deduce the client's behavior and encrypted data. For instance, 80% of search queries may be recognized by a searchable encryption system using a generic inference attack with access pattern leaking and little prior knowledge. The activity of the client can also be inferred via oblivious technologies, such as oblivious transfer and oblivious storage.This study presents a mobile cloud storage system that simultaneously safeguards data confidentiality and privacy while being effective, secure, and privacy-preserving. An oblivious selection and update (OSU) protocol built on onion additive homo morphic encryption with constant encryption layers serves as the underlying primitive. This dramatically lowers computation and transmission costs by enabling clients to covertly retrieve encrypted data items from the cloud and update them with new information. The suggested approach is more appropriate for MCS situations because it has beneficial characteristics such a fine-grained data structure, minimal client-side processing, and constant communication overhead. The "verification chunks" technique also confirms that the strategy is resistant to malicious cloud assaults. According to the comparison and assessment, the suggested plan is more effective than currently available oblivious storage options in terms of client .A valuable tool for distant storage, akin to cloud storage, is remote data integrity checking
High Gain Step-Up Dickson Converter with Interleaved Topology for Applications In Renewable Energy
Power electronics become a crucial factor on integrating Renewable Energy Sources more into the main grid. Renewable energy resources make the power converters to have a functional and versatile value. Enhancement of the voltage output from the renewable energy systems to a higher level can be achieved using DC-DC Converters. Several converters topologies have been implemented so far and Dickson converter proves to be a high efficient and high performance converter. The Dickson charge pump along with the Interleaved boost stage provides high voltage gain, reduced current ripples and losses in the components. The converter delivers an output with minimal voltage stresses on passive components and semiconductor devices, which enhances the voltage potential for enhancing the maximum power output requirements. The advanced converter topologies also make the integration with distribution systems more beneficial. This project compares Interleaved Boost Converter, Hybrid Nonisolated DC-DC Converter, Modified Dickson Converter with Voltage Multiplier and Bifold Dickson Converter with Five VMC Stages to understand the voltage stresses of different components in the converter, from which the efficiency analysis is made to decide the better converter among the four. The converters are studied in detail by simulation analysis using MATLAB/SIMULINK. Voltage stress and other parameters of each component are obtained and the performance of converters are evaluated. The study is extended to the comparison of each converters . Hardware prototype of the converter is implemented for the validation and testing of the converter on giving a 24V, 4A supply and obtaining a 400V DC outp