pwc-archive/papers-with-abstracts huggingface dataset:
Dairy management system project report
Authors: Kamal Acharya
Date: 2024-08-20 00:00:00
Proceeding: Authorea 2024 8
Tasks: Management

ASP.NET is the next version of Active Server Pages (ASP); it is a unified Web development platform that provides the services necessary for developers to build enterprise-class Web applications. While ASP.NET is largely syntax compatible, it also provides a new programming model and infrastructure for more secure, scalable, and stable applications. ASP.NET is a compiled, NET-based environment, we can author applications in any .NET compatible language, including Visual Basic .NET, C#, and JScript .NET. Additionally, the entire .NET Framework is available to any ASP.NET application. Developers can easily access the benefits of these technologies, which include the managed common language runtime environment (CLR), type safety, inheritance, and so on. ASP.NET has been designed to work seamlessly with WYSIWYG HTML editors and other programming tools, including Microsoft Visual Studio .NET. Not only does this make Web development easier, but it also provides all the benefits that these tools have to offer, including a GUI that developers can use to drop server controls onto a Web page and fully integrated debugging support.
Teacher record management system project report
Authors: Kamal Acharya
Date: 2024-08-20 00:00:00
Proceeding: Authorea 2024 8
Tasks: Management, Navigate

The Teachers Record Management System is a comprehensive solution designed to simplify the process of managing teacher records. In today's fast-paced world, it is imperative for schools and individuals to have access to accurate and up-to-date information about teachers. This system addresses the needs of both individuals and schools, offering an efficient and effective way to manage teacher records. This web-based technology was developed with the aim of providing an easy-to-use platform that allows users to search and manage teacher records with ease. The system is designed to be user-friendly, making it accessible to individuals with varying levels of computer literacy. The interface is intuitive and easy to navigate, making it possible for users to quickly find the information they need. For individuals who are searching for good teachers, the Teachers Record Management System offers a comprehensive database of teacher records that can be searched using various parameters such as subject, qualification, experience, and location. This allows users to find the best teachers that match their requirements in a matter of minutes. The system also offers the ability to rate and review teachers, providing valuable feedback to other users who are looking for good teachers. For schools, the Teachers Record Management System offers a robust and secure platform for managing teacher records. The system allows schools to maintain accurate and up-to-date records of their teachers, including their personal information, academic qualifications, work experience, and other relevant details. This makes it easy for schools to keep track of their teachers and ensure that they have the right teachers for the job. The system also offers a range of features that help schools manage their teachers more efficiently. For example, the system allows schools to schedule classes and assign teachers to specific classes based on their qualifications and experience. It also offers a range of reporting and analytics tools that enable schools to track their teacher's performance and identify areas where improvements can be made.
DATA COMMUNICATION AND COMPUTER NETWORK MANAGEMENT SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-09-20 00:00:00
Proceeding: Authorea 2024 9
Tasks: Management

Networking is a telecommunications network that allows computers to exchange data. In computer networks, networked computing devices pass data to each other along data connections. Data is transferred in the form of packets. The connections between nodes are established using either cable media or wireless media.
A CASE STUDY OF CINEMA MANAGEMENT SYSTEM PROJECT
Authors: Kamal Acharya
Date: 2024-09-20 00:00:00
Proceeding: Authorea 2024 9
Tasks: Management

A computer reservation system or central reservation system is a computerized system used to store and retrieve information and conduct transactions related to air travel, hotels, car rental, or activities. These systems typically allow users to book hotel rooms, rental cars, airline tickets as well as activities and tours. They also provide access to railway reservations and bus reservations in some markets, although these are not always integrated with the main system. For these systems to be accessible on mobile phones and computers outside the premises of the airport, cinema, train station or stadiums, they need to be on the internet or a network. This project focuses on the design and implementation of a web based cinema management system for the allocation of seat tickets online. The system would feature the registration of users, use of serial numbers and pins gotten from scratch cards sold and a printed slip. The system would have a store of all the seats and automate the generation of fresh serial numbers and pins.
Methods for Recognizing Nested Terms
Authors: Igor Rozhkov, Natalia Loukachevitch
Date: 2025-04-22 00:00:00
Tasks: Dialogue Evaluation, named-entity-recognition, Named Entity Recognition, Named Entity Recognition (NER), NER, Nested Named Entity Recognition, Nested Term Extraction, Nested Term Recognition, Nested Term Recognition from Flat Supervision, Term Extraction

In this paper, we describe our participation in the RuTermEval competition devoted to extracting nested terms. We apply the Binder model, which was previously successfully applied to the recognition of nested named entities, to extract nested terms. We obtained the best results of term recognition in all three tracks of the RuTermEval competition. In addition, we study the new task of recognition of nested terms from flat training data annotated with terms without nestedness. We can conclude that several approaches we proposed in this work are viable enough to retrieve nested terms effectively without nested labeling of them.
A Multi-Agent Framework for Automated Qinqiang Opera Script Generation Using Large Language Models
Authors: Gengxian Cao, Fengyuan Li, Hong Duan, Ye Yang, Bofeng Wang, Donghe Li
Date: 2025-04-22 00:00:00
Tasks: cross-modal alignment, Script Generation, Speech Synthesis, text-to-speech, Text to Speech, Text-To-Speech Synthesis

This paper introduces a novel multi-Agent framework that automates the end to end production of Qinqiang opera by integrating Large Language Models , visual generation, and Text to Speech synthesis. Three specialized agents collaborate in sequence: Agent1 uses an LLM to craft coherent, culturally grounded scripts;Agent2 employs visual generation models to render contextually accurate stage scenes; and Agent3 leverages TTS to produce synchronized, emotionally expressive vocal performances. In a case study on Dou E Yuan, the system achieved expert ratings of 3.8 for script fidelity, 3.5 for visual coherence, and 3.8 for speech accuracy-culminating in an overall score of 3.6, a 0.3 point improvement over a Single Agent baseline. Ablation experiments demonstrate that removing Agent2 or Agent3 leads to drops of 0.4 and 0.5 points, respectively, underscoring the value of modular collaboration. This work showcases how AI driven pipelines can streamline and scale the preservation of traditional performing arts, and points toward future enhancements in cross modal alignment, richer emotional nuance, and support for additional opera genres.
FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity
Authors: Fanny Jourdan, Yannick Chevalier, Cécile Favre
Date: 2025-04-22 00:00:00
Tasks: Machine Translation, Sentence, Translation

Large Language Models (LLMs) are increasingly leveraged for translation tasks but often fall short when translating inclusive language -- such as texts containing the singular 'they' pronoun or otherwise reflecting fair linguistic protocols. Because these challenges span both computational and societal domains, it is imperative to critically evaluate how well LLMs handle inclusive translation with a well-founded framework. This paper presents FairTranslate, a novel, fully human-annotated dataset designed to evaluate non-binary gender biases in machine translation systems from English to French. FairTranslate includes 2418 English-French sentence pairs related to occupations, annotated with rich metadata such as the stereotypical alignment of the occupation, grammatical gender indicator ambiguity, and the ground-truth gender label (male, female, or inclusive). We evaluate four leading LLMs (Gemma2-2B, Mistral-7B, Llama3.1-8B, Llama3.3-70B) on this dataset under different prompting procedures. Our results reveal substantial biases in gender representation across LLMs, highlighting persistent challenges in achieving equitable outcomes in machine translation. These findings underscore the need for focused strategies and interventions aimed at ensuring fair and inclusive language usage in LLM-based translation systems. We make the FairTranslate dataset publicly available on Hugging Face, and disclose the code for all experiments on GitHub.
A New Graph Grammar Formalism for Robust Syntactic Pattern Recognition
Authors: Peter Fletcher
Date: 2025-04-22 00:00:00

I introduce a formalism for representing the syntax of recursively structured graph-like patterns. It does not use production rules, like a conventional graph grammar, but represents the syntactic structure in a more direct and declarative way. The grammar and the pattern are both represented as networks, and parsing is seen as the construction of a homomorphism from the pattern to the grammar. The grammars can represent iterative, hierarchical and nested recursive structure in more than one dimension. This supports a highly parallel style of parsing, in which all aspects of pattern recognition (feature detection, segmentation, parsing, filling in missing symbols, top-down and bottom-up inference) are integrated into a single process, to exploit the synergy between them. The emphasis of this paper is on underlying theoretical issues, but I also give some example runs to illustrate the error-tolerant parsing of complex recursively structured patterns of 50-1000 symbols, involving variability in geometric relationships, blurry and indistinct symbols, overlapping symbols, cluttered images, and erased patches.
CAPO: Cost-Aware Prompt Optimization
Authors: Tom Zehle, Moritz Schlager, Timo Heiß, Matthias Feurer
Date: 2025-04-22 00:00:00
Tasks: Arithmetic Reasoning, AutoML, Sentiment Analysis, Subjectivity Analysis, Text Classification

Large language models (LLMs) have revolutionized natural language processing by solving a wide range of tasks simply guided by a prompt. Yet their performance is highly sensitive to prompt formulation. While automated prompt optimization addresses this challenge by finding optimal prompts, current methods require a substantial number of LLM calls and input tokens, making prompt optimization expensive. We introduce CAPO (Cost-Aware Prompt Optimization), an algorithm that enhances prompt optimization efficiency by integrating AutoML techniques. CAPO is an evolutionary approach with LLMs as operators, incorporating racing to save evaluations and multi-objective optimization to balance performance with prompt length. It jointly optimizes instructions and few-shot examples while leveraging task descriptions for improved robustness. Our extensive experiments across diverse datasets and LLMs demonstrate that CAPO outperforms state-of-the-art discrete prompt optimization methods in 11/15 cases with improvements up to 21%p. Our algorithm achieves better performances already with smaller budgets, saves evaluations through racing, and decreases average prompt length via a length penalty, making it both cost-efficient and cost-aware. Even without few-shot examples, CAPO outperforms its competitors and generally remains robust to initial prompts. CAPO represents an important step toward making prompt optimization more powerful and accessible by improving cost-efficiency.
Toward Highly Efficient Semantic-Guided Machine Vision for Low-Light Object Detection
Authors: Xin Feng, Junxian Zeng, Siping Wang, Zhenwei He
Date: 2024-12-20 00:00:00
Proceeding: British Machine Vision Conference 2024 12
Tasks: 2D Object Detection, Image Enhancement, object-detection, Object Detection

Detectors trained on well-lit data often experience significant performance degradation when applied to low-light conditions. To address this challenge, low-light enhancement methods are commonly employed to improve detection performance. However,
existing human vision-oriented enhancement methods have shown limited effectiveness, which overlooks the semantic information for detection and achieves high computation costs. To overcome these limitations, we introduce a machine vision-oriented highly efficient low-light object detection method with the Efficient semantic-guided Machine Vision-oriented module (EMV). EMV can dynamically adapt to the object detection part based on end-to-end training and emphasize the semantic information for the detection.
Besides, by lightening the network for feature decomposition and generating the enhanced image on latent space, EMV is a highly lightweight network for image enhancement, which contains only 27K parameters and achieves high inference speed. Extensive experiments conducted on ExDark and DarkFace datasets demonstrate that our method significantly improves detector performance in low-light environments.
SOCIAL MEDIA MANAGEMENT SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-10-20 00:00:00
Proceeding: Authorea 2024 10
Tasks: Management, Object

The project "Social Media Platform in Object-Oriented Modeling" aims to design and model a robust and scalable social media platform using object-oriented modeling principles. In the age of digital communication, social media platforms have become indispensable for connecting people, sharing content, and fostering online communities. However, their complex nature requires meticulous planning and organization.This project addresses the challenge of creating a feature-rich and user-friendly social media platform by applying key object-oriented modeling concepts. It entails the identification and definition of essential objects such as "User," "Post," "Comment," and "Notification," each encapsulating specific attributes and behaviors. Relationships between these objects, such as friendships, content interactions, and notifications, are meticulously established.The project emphasizes encapsulation to maintain data integrity, inheritance for shared behaviors among objects, and polymorphism for flexible content handling. Use case diagrams depict user interactions, while sequence diagrams showcase the flow of interactions during critical scenarios. Class diagrams provide an overarching view of the system's architecture, including classes, attributes, and methods .By undertaking this project, we aim to create a modular, maintainable, and user-centric social media platform that adheres to best practices in object-oriented modeling. Such a platform will offer users a seamless and secure online social experience while facilitating future enhancements and adaptability to changing user needs.
RETAIL STORE MANAGEMENT SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-10-20 00:00:00
Proceeding: Authorea 2024 10
Tasks: Management

Development of large software system is extremely complex activity full of various opportunities to introduction errors. Software Engineering is the discipline that attempts to provide method to handle this complexity, enabling us to produce reliable system software with maximum productivity. It was felt that it is important and very instructive, not only to learn the principles of software engineering but also apply them to a software development project so that all aspects of development and be clearly seen on project. Software engineering is activity starts from requirements analysis and ends with testing and implementation. This project is designed to manage a Retail Store System. In This project VB 6.0 is use as front-end and Oracle use as backend.
SUPERMARKET MANAGEMENT SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-10-20 00:00:00
Proceeding: Authorea 2024 10
Tasks: Management

The project is on Supermarket Billing. Supermarket is the place where customers come to purchase their daily using products & pay for that. So there is a need to calculate how many products are sold & to generate the bill for the customers. In this project, we have 3 users. First is the data entry operator who will enter the products in the database. Second one is the administrator who will decide the taxes & commissions on the products & can see the report of any product. Third one is the bill calculating operator who will calculate the bill & print.
Online music portal management system project report
Authors: Kamal Acharya
Date: 2024-10-20 00:00:00
Proceeding: Authorea 2024 10
Tasks: Management

The iMMS is a unique application that is synchronizing both user experience and copyrights while providing services like online music management, legal downloads, artists’ management. There are several other applications available in the market that either provides some specific services or large scale integrated solutions. Our product differs from the rest in a way that we give more power to the users remaining within the copyrights circle.
Ludo management system project report
Authors: Kamal Acharya
Date: 2024-09-20 00:00:00
Proceeding: Authorea 2024 9
Tasks: Management

OpenGL is a library for doing computer graphics.By using it, we can create interactive applications which render high-quality color images composed of 3D geometric objects and images. OpenGL is window and operating system independent. As such, the part of our application which does rendering is platform inde�pendent.However, in order for OpenGLto be able to render, it needs awindow to draw into. Generally, The Project OpenGL Ludo-Board Game is a computer graphics project. The computer graphics project used open source library –OpenGL with the c++. This c++ project is based on one of the oldest Board Game – the Ludo. This OpenGL Ludo game is of two player game and not the regular four player. Ludo is a board game for two to four players,in which the players race their four tokens from start to finish accordingly to die rolls.Like other cross and circle games,Ludo is derived from the Indian game Pachisi but simpler.The game and its variant are popular in many countries.
Avoid waste management system project.
Authors: Kamal Acharya
Date: 2024-09-20 00:00:00
Proceeding: Authorea 2024 9
Tasks: Management

The sharp increase in the amount of wastage in terms of food its makes the need for charity in terms of donation. A new internet-based application that provides a platform for donating old stuff and leftover food to all needy people / organizations. It shows the potential for avoiding the wastage of food. To handle donations and connect the donators with the nearest / appropriate needy person through a social web application. The web application handles different services such as the reviews of the searched needy person and displays their contacts and their location. The application allows users to create a profile for themselves and the information about a certain family that needs help. This profile will be shown to donators who are looking for someone to donate to. Mainly only information is exchanged. The donators are able to post / see reviews about other people’s profiles. It allows donors to directly communicate with charities when they have food or non-food items, such as paper goods and personal care items, to donate. Through the online portal, donors and charities can manage donations and generate receipts and reports. Most food wastage applications available are mainly concerned with helping users watch their weight and food in-take and generally requires lots of information from user. The advantage of this project is the use of the simplest information of food products to monitor the inventory.
COVID MANAGEMENT SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-05-20 00:00:00
Proceeding: Authorea 2024 5
Tasks: Management

CoVID-19 sprang up in Wuhan China in November 2019 and was declared apandemic by the in January 2020 World Health Organization (WHO). Like the Spanish flu of 1918 that claimed millions of lives, the COVID-19 has caused the demise of thousands with China, Italy, Spain, USA and India having the highest statistics on infection and mortality rates. Regardless of existing sophisticated technologies and medical science, the spread has continued to surge high. With this COVID-19 Management System, organizations can respond virtually to the COVID-19 pandemic and protect, educate and care for citizens in the community in a quick and effective manner. This comprehensive solution not onlyhelps in containing the virus but also proactively empowers both citizens and care providers to minimize the spread of the virus through targeted strategies and education. These system provide the online payment of the maintenance online noticedisplay admin can look after the maintenance report , there is a online feedback system .
Library Management System Minor Project Report On LIBRARY MANAGEMENT SYSTEM.
Authors: Kamal Acharya
Date: 2023-11-20 00:00:00
Proceeding: ResearchGate 2023 11
Tasks: Management

Library management system is a project which aims in developing a computerizedsystem to maintain all the daily work of library .This project has many featureswhich are generally not available in normal library management systems likefacility of user login and a facility of teachers login .It also has a facility of adminlogin through which the admin can monitor the whole system .It also has facility ofan online notice board where teachers can student can put up information aboutworkshops or seminars being held in our colleges or nearby colleges and librarianafter proper verification from the concerned institution organizing the seminar canadd it to the notice board . It has also a facility where student after logging in theiraccounts can see list of books issued and its issue date and return date and also thestudents can request the librarian to add new books by filling the book requestform. The librarian after logging into his account that is admin account cangenerate various reports such as student report , issue report, teacher report andbook reportOverall this project of ours is being developed to help the students as well as staffof library to maintain the library in the best way possible and also reduce thehuman effort.
ONLINE DATING MANAGEMENT SYSTEM PROJECT REPORT.
Authors: Kamal Acharya
Date: 2023-04-20 00:00:00
Proceeding: ResearchGate 2023 4
Tasks: Management

The objective of our project is to develop an application that offers online dating services where individuals or users can find and contact each other over the internet to arrange a date usually with the objective of developing a romantic, personal and sexual relationship. Users of an online dating service would currently provide personal information, to enable them to search the service provider's database for other individuals. Members use grade other members set, such as age range, gender and location.