Reviewerly/exHarmony huggingface dataset:
Analysis of Banking and Block Chain Technology In Supply Chain Management System

In order to identify their limitations and the best replacement from both that can fulfil present and future procurement business expectations, this paper will compare supply chain banks and blockchain. Utilizing both secondary research, the study is done utilising a mixed method to analyse it and provide conclusions in order to accomplish the research purpose. These days, the procurement sector makes extensive use of banking. Although blockchain is well-known, only a small number of multinational firms throughout the world have used it in the industry of supply chains. However, the investigation showed that cryptocurrency has really cut the cost by 2% overall. The survey's findings show that when compared to traditional banking, there is a strong preference for the advantages and method of blockchain. By highlighting the elements that both systems share, assessing how well they work in the field of supply chain management, and determining which option is preferable for application in the current supply chain sector, this article aims to analyse financial and private blockchain.
The performance optimization of thermal conducting ability of the microprocessor using heat transfer management model

Thermally conductive paste consists of a plastic material with high thermal conductivity. Its purpose is to improve the heat transfer processes between the heating and the processor. Thermal grease “KPT-8” is produced in the form of a homogeneous paste of white or gray color, sometimes it has a blue or silver color. In the past, processors were cold-sorted, so they dispensed this material. Currently, such a paste is needed by anyone, even a low-power processor unit. over clocking is provided by modern processors manufacturers, it is achieved by programming, the user must make changes to the settings using the BIOS system. Due to the thinness of the processor and the heat sink, an air gap is formed, which reduces the heat dissipation of the microprocessor. This problem is particularly relevant at present, because many units are operating at the limit of their capabilities, while heat is actively released.
Automatic doorstep fuel delivery based on IIoT system

Despite the increasing acceptance of programming language, Java remains the preferred programming language for creating business applications. This article discusses the challenging Full Stack Java-Based Spring Cloud Computing implementation of the project. This is especially challenging given that it is more function-focused and harder to predict how software updates and changes would influence it. Anyone may develop a web application, but still it requires a lot more to create an industrialised entrepreneurial firm with the knowledge to understand its function, implement it, and manage its existence.
More Efficient Data Security by DEVELOINV AES Hybrid Algorithm

The development of cloud apps enables people to exchange resources, goods, and expertise online with other clients. The material is more vulnerable to numerous security dangers from outsiders due to the fact that millions of users exchange data through the same system. How to maintain the security of this data is now the main concern. The current data protection system functions best when it places a greater priority on safeguarding data maintained in online storage than it does on cybersecurity during transportation. The data becomes open to intrusion attacks while being transferred. Additionally, the present craze states that an outside auditor may view data as it is being transmitted. Additionally, by allowing the hacker to assume a third-person identity while obtaining the information, this makes the data more susceptible to exploitation. The proposed system focuses on using encryption to safeguard information flow since cybersecurity is seen as a major issue. The approach also takes into account the fourth auditing issue, which is that under the recommended manner, the inspector is not allowed to see the user information. Tests have shown that the recommended technique improves security overall by making it harder for hackers to decode the supplied data.
An Improved AdaBoost Algorithm for Face Detection

Face detection is widely used in human-computer interface, security access, visual surveillance and other fields, but the accuracy and speed are two key problems which need to be solved. We proposes an improved face detection method based on the existing AdaBoost algorithm. By locating the face area according to the structural features and skin color features, we can judge whether it is the final target face according to the overlap of the detected target area. Experiments show that the method has obvious effect in improving the detection accuracy.
Ballistic Asynchronous Reversible Computing in Superconducting Circuits

In recent years we have been exploring a novel asynchronous, ballistic physical model of reversible computing, variously termed ABRC (Asynchronous Ballistic Reversible Computing) or BARC (Ballistic Asynchronous Reversible Computing). In this model, localized information-bearing pulses propagate bidi-rectionally along nonbranching interconnects between I/O ports of stateful circuit elements, which carry out reversible transformations of the local digital state. The model appears suitable for implementation in superconducting circuits, using the naturally quantized configuration of magnetic flux in the circuit to encode digital information. One of the early research thrusts in this effort involves the enumeration and classification, at an abstract theoretical level, of the distinct possible reversible digital functional behaviors that primitive BARC circuit elements may exhibit, given the applicable conservation and symmetry constraints in superconducting implementations. In this paper, we describe the motivations for this work, outline our research methodology, and summarize some of the noteworthy preliminary results to date from our theoretical study of BARC elements for bipolarized pulses, and having up to three I/O ports and two internal digital states.
Machine Learning-Based Real-Time Traffic Control System

The issue of finding sufficient, sanitary meals when travelling by train. The railroads have struggled with this issue since their existence. Despite the fact that many existing models make an effort to address this issue, packages frequently go missing. This study seeks to offer a dependable and effective remedy for the issue in an Android application. This technology employs a database that has been improved, which considerably improves accuracy. In order to guarantee that passenger safety is never jeopardised, this research work also propose to establish a train security system by placing heat sensors in coaches
AutomaticRobotic Action Towards Plastic Collection

Significant wet and dry wastes produced by plastic. Almost all industries use plastic extensively. In India, plastic waste is typically dumped in natural resources, which dramatically increases environmental pollution. Humans frequently segregate plastic by hand, which is a poor solution. The concepts of deep learning (DL) and the internet of things (IOT) are combined in the suggested approach. IOT is utilized to pick up discovered plastic objects while a deep learning approach is utilized to detect plastic objects. Real-time object detection is crucial for locating plastic trash. As a feature extractor, Mask R-CNN and Resnet 101 are employed. Goal detection model Mask R-CNN is combined with Resnet 101 residual network, which speeds up neural network training. Resnet 101 utilises the residual subsystem to help the model converge. Prediction confidence scores are used to set an appropriate benchmark to reduce false positives because plastic things have various levels of transparency. Robotic arms are used to collect plastic trash that has been detected. Three motors are used to power the robotic arm. Two DC motors move the mobile robot forward and backward, and a third DC motor with a gripper is used to pick up the plastic object. Arduino Uno R3 manages the robotic arm's motions. The outcomes of the tests demonstrate that the suggested approach satisfactorily tracked different kinds of plastic particles and picked them up with a robot. The success rate of detection ranges from 85% to 93%. Different kinds of risks may be found in the future and employed for commercial and societal purposes.
Design and development of a smart ID card based payment cum access system

A Smart campus resorts to digitally distinct, technologically driven products that enable the connected community to experience learning in new dimensions. The proposed technique, Smart campus payment system is designed to give a secure, user friendly and flexible mode of cashless transactions by the campus users especially during rush hours and in crowded zones such as shopping and food outlets inside the campus. The technique has been devised as a single smart card that meet various demands of campus users (especially the researchers and students) in places like hostels, university offices, shopping venues, DTP centers, parlors, food outlets and cafeterias. The final smart product would be a single window that integrates and tracks individual cash venue points within campus under a single umbrella to help the campus user to enjoy a hassle-free experience.
Image Retrieval based on Deep Learning - Convolutional Neural Networks

Content-based image searches examine the actual content of an image rather than its meta information. The word “contents” refers to any details taken from the image itself, including its colours, structures, textures, and other elements. Content based image Retrieval (CBIR) is preferred because the accuracy and comprehensiveness of annotations are crucial for searches that just use metadata. The CBIR approach is frequently used to recover images from huge, unformed image collections. Users are therefore dissatisfied with traditional knowledge acquisition techniques. Additionally, users now have access to more photographs because of the development of image creation and sharing. This access of the digital images have significant applications in many areas. To enable this quick access of the images, form the available image collection is a difficult task and requires more effective methods. The characteristic representation and similarity computation are key components that determine how effective a content-based picture retrieval system is. To overcome this problem, a CNN based feature extraction and classification-based image retrieval system have been proposed using SVM classfier. The proposed one outperforms the search compared to the existing system.
Intelligent Decision Making with Block chain in healthcare industry

Blockchain technology is one of the most path-breaking achievements of the twenty-first century, and it is being used in almost every industry. Blockchain technology continues to revolutionize and change the world. Countless opportunities can be created by this technology, as it is not so complicated at its roots. The Peer-to-peer connection is the best part of this technology up till now. In the Healthcare industry, many loopholes are directly connected to a patient's life directly or indirectly. But this highly encrypted technology has the potential to solve these problems. Hence this study tries to address the gaps by proposing conceptual models for understanding how Blockchain technology can solve all the critical issues like faulty medical diagnosis, legal compliance, and fraud currently present in the healthcare industry. This study provides implications to practitioners to study and develop new Blockchain technology-based healthcare management application and supply chain management systems such that they can directly impact patient's life and solve the loopholes currently present to the society as it will help improve the drawbacks of the healthcare industry, therefore, leading to more safe healthcare options. This study would omit patients' critical medical information and supply chain management-related gaps in the healthcare system by using this technology. This paper will illustrate conceptual models of a blockchain-based healthcare management application and a supply chain management solution blockchain - backed, also this paper shows how these new implementations might improve the industry/system.
Speech based Research on Marathi Educational Chatbot

In any interactive agent, providing a suitable answer plays a vital role in determining the success of that chatbot. Speech recognition API and google translate API are used to recognize the user's voice and text translation respectively. In this paper, Marathi speech based educational chatbot is proposed using naive bayes classifier. After performing preprocessing, Naive Bayes classifier is used to determine and evaluate the highest probable class. Nearly 1600 words are used to train the model. The proposed approach is tested with some questions and their topics in the dataset. Brute force keyword matching and string similarity algorithms are implemented to fetch the suitable answer. Confusion matrix is generated to evaluate the performance of classification model.
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation

Stochasticity is ubiquitous in the world around us. However, our predominant computing paradigm is deterministic. Random number generation (RNG) can be a computationally inefficient operation in this system especially for larger workloads. Our work leverages the underlying physics of emerging devices to develop probabilistic neural circuits for RNGs from a given distribution. However, codesign for novel circuits and systems that leverage inherent device stochasticity is a hard problem. This is mostly due to the large design space and complexity of doing so. It requires concurrent input from multiple areas in the design stack from algorithms, architectures, circuits, to devices. In this paper, we present examples of optimal circuits developed leveraging AI-enhanced codesign techniques using constraints from emerging devices and algorithms. Our AI-enhanced codesign approach accelerated design and enabled interactions between experts from different areas of the micro-electronics design stack including theory, algorithms, circuits, and devices. We demonstrate optimal probabilistic neural circuits using magnetic tunnel junction and tunnel diode devices that generate an RNG from a given distribution.
The performance optimization of Video surveillance systems are based on a workflow monitoring model in commercial organizational networks

A video surveillance system is a security device designed for continuous visual monitoring of a selected area of an object, allowing timely response to illegal activities. Today, there are complexes where you can monitor not only individual parts of the building, but the entire structure. In this paper, The performance optimization of Video surveillance systems are based on a workflow monitoring model in commercial organizational networks. The protected object and its adjacent area are under full-time visual control. It allows you to quickly monitor any movements (authorized and illegal) across the territory and work flow in the organization. Attempts to illegally enter the perimeter can be recorded, and combined with other security methods, these violations can be stopped in time. Such systems make it possible to quickly implement scene control and save a record of incidents for archiving.
CNN-RNN Hybrid model based Hindi Character Recognition

In recent years, deep learning models have tended to favor modern architectures based on the availability of huge data sets and increasing success rates. Due to the inherent complexities of the scripts and the freestyle nature of handwriting, it is extremely difficult to develop reliable lexicon-free handwritten text recognizers for Hindi. In the work that has been proposed, a CNN-RNN hybrid architecture has been used. This architecture draws its inspiration from recent developments in the use of residual blocks for training convolutional layers. A spatial transformer layer has also been included to learn a model that is invariant to handwriting distortions. The Indic Word Database is used for training and testing the model, and the results are analyzed based on word error rates and character error rates. For the purpose of script recognition, the Hindi script is taken into consideration. In the systems that have been proposed, using the synthetic data, an absolute extra reduction in WER is found.
Voice and Gesture Controlled Wheel Chair

Wheelchair has been evolving over the years from being manually operated by external assistance to being intelligently controlled by self. Smart wheelchair has been very useful for disabled people but some patients who suffer from paralysis require more attention and care. In this work the drawbacks of various smart wheelchair models were considered and an amalgamation of these wheelchair models was created that aims to reduce most of these shortcomings. The proposed model incorporates voice and gesture modes of control as the core and also has the capability of obstacle detection and remote monitoring which ensures independent locomotion of the patient while providing an extra level of security. Result has been analyzed and it was found that the model was effective in performing the operation with an accuracy of 98 percent and 93 percent for gesture and voice controls respectively. Based on this observation it was noted that this model is user friendly and is practically function in real use case while requiring less cost.
Automatic system of incubating fish eggs through smart cylinder

In Africa, aquaculture is growing in popularity as a branch of agriculture with a significant increase in the production of young fish. Aquatic life is therefore by nature a dangerous environment for the growth of egg fries, which results in a significant disparity in the pace of egg production and fry discharge. The monitoring of environmental changes against fish eggs is required. This process is conducted manually, which results in the death of several fish eggs. Even though system automation is a good solution. The issue of poor reaction time still exists since fish breeders need them to interact more closely with the system to understand what's happening. This problem may be solved by keeping some essential factors, such as temperature at an ideal level for eggs to survive. The automated fish eggs incubator with smart cylinder is the subject of this study, which keeps track of many environmental changes such oxygen levels, mechanical damage, water temperatures, flow rates, and water quality. A network of sensors, including temperature sensors, PH sensors, and water flow sensors, is responsible for controlling each of these factors. The data relating to these factors is kept in the cloud for future study and analysis, and the concerned party can keep an eye on it remotely. This system is reasonably priced owing to its low power consumption and mobility, which breeders may use while releasing fry.
Machine Intelligence based Parametric Speaker

The proposition of this work is to channelize the conventional longitudinal behavior of sound which diverges in every direction after its generation to a beam like behavior seen in transverse waves, which is already conceived in a device named as parametric speaker. On top of this, using technologies such as AI, self-learning and decision-making capabilities can be endorsed in the hardware-based device, exhausting its full capabilities. The goal of the proposed device is to provide an invisible screening and privacy to the individuals in public and semi-public areas which is associated with verbal mode of communication.
The smart backup and recovery management for ultra dense cloud server in commercial organization network

About five years ago, smart phones were only for people who needed their functionality. Today, the growth of the Android device market, almost everyone has these gadgets. The operating system is highly customizable and develops quickly - new major versions are released every year, and throughout the year, manufacturers reward users with updates to current versions of the OS several times. Because of this trend, it is very important to know and be able to backup the firmware in case of a failed update or any other situation, so that you can quickly return to a working system, while not losing your data and information. In this paper, a smart backup and recovery management for ultra dense cloud server in commercial organization network. In principle, there are a few ways to create a backup, but the most common and convenient. CWM (Clockwork Mod Recovery) and TWRP (Team Win Recovery Project) are the most popular recovery alternatives. CWM - one of the first such programs - is very small and is controlled exclusively by “iron buttons” - volume buttons and the off key. It contains only the most necessary functionality (including backup functionality). TWRP is the most advanced program. He has touch control, as well as some features, the most useful of which is probably the built-in file manager, which will allow you to copy your data from the internal memory to the flash drive if the phone refuses to boot.
TF-IDF and Key Phrase Identification Based Malayalam Document Summarization

The purpose of text summarization is to condense long pieces of text into more manageable chunks. The objective is to create a syntactically sound and grammatically clear summary of the document's key points. Natural language processing (NLP) includes this crucial task, which unquestionably affects the synthesization of processes undertaken. Because of time limits and the proliferation of available information in digital form, it is no longer feasible to carefully read an article, record, or book to decide its relevance. When it comes to machine learning and natural language processing, automatically summarising texts is a common challenge. This study contrasts the results of Malayalam text summarization using the Term Frequency - Inverse Document Frequency (TF-IDF) algorithm with those obtained using the Key Phrase Made it official.