Custom Modules Research Articles

A novel Real-time Control System for next generation gravitational-wave detectors

This contribution presents the INFN Pisa group research and development efforts aimed at defining and implementing a novel Real-time Control System (RCS) for next-generation interferometers, focusing on the initial phase of the Einstein Telescope (ET) gravitational wave detector. The RCS handles complex closed-loop systems, managing data collection from sensing elements, processing and actuator control within well defined time constraints. It integrates multiple spatially distributed control units, facilitating communications among them, with external systems as well as with users. Two distinct hardware approaches are explored: “Katane” and “Zancle”. These systems primarily differ in their core processing elements. The “Katane” system is built on powerful DSP processor boards, based on the Super-Attenuator control system, developed at INFN Pisa for Advanced Virgo detector. It uses the MicroTCA.4 architecture standard, ensuring flexibility, easy maintenance, and fast data exchange among the various custom modules, including several types of Front-End data converter boards, FPGA-based pre-processing boards, DSPs and standard processors. On the other hand, ”Zancle” explores GPU-based processing, aiming to use cost-effective consumer market systems and to leverage substantial computational power of these devices, also incorporating machine learning algorithms.

The Effects of Implementing Gamification in the Hepatology Curriculum for Medical Students.

Background Gamification, the incorporation of game theory into the curriculum, has been correlated with improved knowledge retention compared to standard didactics. Objective To determine the impact of gamified hepatology modules on medical student knowledge retention and exam performance. Methods We created three web-based, gamified hepatology modules with 15-question pre- and post-tests. Differences in each module's pre- and post-test scores were compared using paired t-tests. Medical school exam scores (total score and hepatology-specific score) in module users versus non-users were compared using independent two-sample t-tests. Results Module completion yielded significant increases in pre- to post-test scores for the jaundice (p=0.002) and anatomy modules (p<0.001). Module users scored 1.2 points higher on the total exam score (p=0.4) and 2 points higher on the hepatology exam score (p=0.31). Post-module survey results revealed higher knowledge retention in hepatology topics, expanded interest in hepatology, and an increased inclination to use web-based learning platforms for future learning experiences. Conclusion Module use led to improved post-test scores in the modules. Module users also had higher hepatology exam and total exam scores, yet, this difference was not statistically significant. Overall, this study suggests that gamification may be beneficial in aiding hepatology knowledge recall.

NC-Library: Expanding SystemC Capabilities for Nested reConfigurable Hardware Modelling

As runtime reconfiguration is used in an increasing number of hardware architectures, new simulation and modeling tools are needed to support the developer during the design phases. In this article, a language extension for SystemC is presented, together with a design methodology for the description and simulation of dynamically reconfigurable hardware at different levels of abstraction. The library presented offers a high degree of flexibility in the description of reconfiguration features and their management, while allowing runtime reconfiguration simulation, removal, and replacement of custom modules as well as third-party components throughout the architecture development process. In addition, our approach supports the emerging concept of nested reconfiguration and split regions with a minimal simulation overhead of a maximum of three delta cycles for signal and transaction forwarding, and four delta cycles for the reconfiguration process.

41‐1: Invited Paper: Next Generation LED Screens – How the Development of Customized LED Modules Helps to Save Resources and Lowers Complexity

We as a DOOH company have developed a customized LED module which needs less resources thus lowering complexity and raising flexibility in various DOOH projects. This specific LED module saves power, require fewer spare parts and reduces logistic which results in lower overall costs.

Bookhive: Virtual Society for Readers

In an era marked by technological advancements, the research endeavors to revolutionize the traditional paradigm of library management by introducing a comprehensive virtual society for readers enriched with digital features and user-centric functionalities. This system comprises multiple interconnected modules designed to enhance the overall library experience for both administrators and patrons. The core Library Management Module streamlines book cataloging, user management, and inventory tracking, optimizing the operational efficiency of libraries. Concurrently, the Mobile App Module extends the library’s reach beyond physical boundaries, offering a user-friendly platform for on-the-go access to resources, virtual book clubs, and personalized recommendations. The Community Engagement Module fosters a vibrant literary community by facilitating discussions, author-reader interactions, and collaborative book recommendations. The Delivery and Rare Books Module ensures accessibility by enabling users to request book deliveries and notifying them of rare book availability. Furthermore, the User Profile and Customization Module empowers patrons to personalize their library experience, from user registration to preference settings. This research is not merely a technological overhaul but a gateway to a more dynamic and inclusive library ecosystem, embracing the digital age while preserving the essence of community, engagement, and the joy of reading. With data-driven insights, personalized features, and an emphasis on community building, our Library Management System represents a forward-looking approach to redefining the role of libraries in the modern world, ensuring they remain vibrant hubs of knowledge, connection, and literary exploration.

Sign Language Recognition Using Convolutional Neural Network

This project introduces a real-time sign language detection system powered by Convolutional Neural Networks (CNNs), designed to aid individuals with hearing impairments in communication. Leveraging OpenCV for video capture and hand detection, along with custom modules for hand tracking and image classification, the system seamlessly integrates deep learning methodologies. A pre-trained CNN model, trained on a comprehensive dataset of sign language gestures, forms the core of the system, ensuring accurate classification in real-time. By capturing video frames from a webcam, detecting hands, and processing them through the CNN model, the system provides immediate feedback by overlaying predicted gestures onto the video stream. Through its effective implementation, this project underscores the potential of CNNs in facilitating accessibility and inclusivity, while also paving the way for future enhancements and applications in assistive technology and human-computer interaction. Top of Form Keywords— Real-time, Sign Language Detection, Convolutional Neural Networks (CNNs), Communication, Hearing Impairments, Deep Learning.

Modular Synthesis of Improbable Rotaxanes with All‐Benzene Scaffolds

Abstract“Improbable” rotaxanes consisting of interlocked conjugated components represent non‐trivial synthetic targets, not to mention those with all‐benzene scaffolds. Herein, a modular synthetic strategy has been established using an isolable azo‐linked pre‐rotaxane as the core module, in which the azo group functions as a tracelessly removable template to direct mechanical bond formations. Through versatile connections of the pre‐rotaxane and other customizable modules, [2]‐ and [3]rotaxanes derived from all‐benzene scaffolds have been accomplished, demonstrating the utility and potential of the synthetic design for all‐benzene interlocked supramolecules.

Modular Synthesis of Improbable Rotaxanes with All-Benzene Scaffolds.

"Improbable" rotaxanes consisting of interlocked conjugated components represent non-trivial synthetic targets, not to mention those with all-benzene scaffolds. Herein, a modular synthetic strategy has been established using an isolable azo-linked pre-rotaxane as the core module, in which the azo group functions as a tracelessly removable template to direct mechanical bond formations. Through versatile connections of the pre-rotaxane and other customizable modules, [2]- and [3]rotaxanes derived from all-benzene scaffolds have been accomplished, demonstrating the utility and potential of the synthetic design for all-benzene interlocked supramolecules.

Validity and reliability of a needs analysis questionnaire for the development of a creativity module

AbstractDespite the acknowledged importance of integrating creativity into school curricula, students with learning disabilities often lack the skill of creativity, due to its absence in classroom instruction. To address these gaps, the authors developed a needs analysis questionnaire assessing the necessity of a creativity module for primary school students with learning disabilities, focusing on Torrance's four creativity elements: (a) Originality, (b) Fluency, (c) Flexibility, and (d) Elaboration. This study, emphasizing content validity and reliability testing, comprised rigorous validation by a panel of nine special education experts, resulting in high content validity scores. In Part II, all items were accepted, yielding an overall S‐CVI score of 0.97, indicating a ‘very suitable’ construct. In Part III two items were rejected; the overall S‐CVI score remained at 0.80, signifying ‘very suitable’. A pilot test with 30 special education teachers demonstrated Cronbach's Alpha values 0.87, indicating high reliability for all questionnaire parts. The study emphasizes the questionnaire's efficacy in assessing teachers' understanding of creativity skills and their perspectives on the importance of a customized creativity module. This tool holds substantial potential for educators and curriculum developers, providing insights to address specific student needs, foster creativity in classrooms and enhance overall educational experiences.

Design of management database for Mihiyo company

The mihoyo Sales Management System was developed to adjust to the dynamic business environment and maintain a competitive edge. In the context of this era, the mihoyo Sales Management System utilizes a robust database structure to optimize sales operations. In this paper, a management database for Mihiyo company is designed. The customer module stores customer information, linked to orders, payments, and expenses. An order table tracks order details, linked to customers and products. Payment and shipment tables manage transaction and delivery information. The inventory table enables real-time monitoring of stock levels. Financial management tables record sales, payment, and expense data. User tables store information related to different user roles. The system's interface seamlessly interacts with the database, allowing users to access and update information efficiently. The reporting and analytics module analyzes data from the database, facilitating decision-making and performance evaluation. Database testing requires completing relevant test cases and achieving a robust system.

Online Shopping System

The main objective of this system is to make global shopping possible, were the customers buy things from anywhere in India. The customer will be displayed with the available products of the company, and the customer will be asked to select the items based on his choice and all information about the product like price, product id model will be given to the customer based on his requirements they make an order of the product. The modules are: Product Master, Customer Module, Purchase Module, Order Module, Billing Module. Daily, special and emergency deliveries are available. At any time during off-hours, 24 hours a day, seven days a week, we can provide your record. As days goes offline shopping has reduced and online shopping is increased. This Software will help you know the various products, product description, price range, discounts so that the customers can easily identify which product will suit best for them. The Web model that was used in the implementation of the On-Line Shopping Database Application is very simple each request from the webpage invokes a request, which then communicates with the Objectivity/DB to retrieve the requested data. The resulting data is passed by a request object to. The client-side HTML that displays the result to the user.

TreeViewer: Flexible, modular software to visualise and manipulate phylogenetic trees.

Phylogenetic trees illustrate evolutionary relationships between taxa or genes. Tree figures are crucial when presenting results and data, and by creating clear and effective plots, researchers can describe many kinds of evolutionary patterns. However, producing tree plots can be a time-consuming task, especially as multiple different programs are often needed to adjust and illustrate all data associated with a tree. We present TreeViewer, a new software to draw phylogenetic trees. TreeViewer is flexible, modular, and user-friendly. Plots are produced as the result of a user-defined pipeline, which can be finely customised and easily applied to different trees. Every feature of the program is documented and easily accessible, either in the online manual or within the program's interface. We show how TreeViewer can be used to produce publication-ready figures, saving time by not requiring additional graphical post-processing tools. TreeViewer is freely available for Windows, macOS, and Linux operating systems and distributed under an AGPLv3 licence from https://treeviewer.org. It has a graphical user interface (GUI), as well as a command-line interface, which is useful to work with very large trees and for automated pipelines. A detailed user manual with examples and tutorials is also available. TreeViewer is mainly aimed at users wishing to produce highly customised, publication-quality tree figures using a single GUI software tool. Compared to other GUI tools, TreeViewer offers a richer feature set and a finer degree of customisation. Compared to command-line-based tools and software libraries, TreeViewer's graphical interface is more accessible. The flexibility of TreeViewer's approach to phylogenetic tree plotting enables the program to produce a wide variety of publication-ready figures. Users are encouraged to create their own custom modules to expand the functionalities of the program. This sets the scene for an ever-expanding and ever-adapting software framework that can easily adjust to respond to new challenges.

Software Defined Layer 4.5 Customization for Agile Network Operation

Protocol customizations primarily come in two forms: those driven by public extensions to open standard protocols; and dialecting and performance tuning driven by an enterprise network’s private security and performance needs. Current deployment of protocol customizations is mostly ad hoc, through manual configuration or script programs that are highly specialized to each customization. This method lacks the agility necessary to support the relatively high tempo of private customizations. Also, it is common for today’s protocol customization efforts to experience middlebox interference. We propose a systematic framework of network-wide orchestration and continuous management of protocol customization to enable agile operation for enterprise and data-center networks. By introducing a logically centralized orchestrator along with a Layer 4.5 fine-grained device customization solution, our framework will allow operators to configure, deploy, and monitor customized flows from a single vantage point, providing timely detection of rogue devices as well as real-time coordination of middlebox traversal. Results from prototyping and experimentation confirm utility of our framework while incurring modest processing overhead, at the levels of 3% and 0.5% for sample customized flows and non-customized flows, respectively. Furthermore, we present two major system refinements: (i) generalizing the design of receiving modules to support customization of encrypted flows, and (ii) adding logic system wide to support seamless rotation of customization modules for live flows. Finally, we discuss specific agile network operation use cases enabled by our solution and outline future work.

LUSTR: a new customizable tool for calling genome-wide germline and somatic short tandem repeat variants

BackgroundShort tandem repeats (STRs) are widely distributed across the human genome and are associated with numerous neurological disorders. However, the extent that STRs contribute to disease is likely under-estimated because of the challenges calling these variants in short read next generation sequencing data. Several computational tools have been developed for STR variant calling, but none fully address all of the complexities associated with this variant class.ResultsHere we introduce LUSTR which is designed to address some of the challenges associated with STR variant calling by enabling more flexibility in defining STR loci, allowing for customizable modules to tailor analyses, and expanding the capability to call somatic and multiallelic STR variants. LUSTR is a user-friendly and easily customizable tool for targeted or unbiased genome-wide STR variant screening that can use either predefined or novel genome builds. Using both simulated and real data sets, we demonstrated that LUSTR accurately infers germline and somatic STR expansions in individuals with and without diseases.ConclusionsLUSTR offers a powerful and user-friendly approach that allows for the identification of STR variants and can facilitate more comprehensive studies evaluating the role of pathogenic STR variants across human diseases.

Facilitating Model Training With Automated Techniques

Automating artificial intelligence (AI) model training has emerged as a significant challenge in the field of automation. The complete pipeline from raw data to model deployment poses the need to define robust processes that ensure the efficiency of the services that expose the models. This paper introduces a generic architecture for automating data preparation, training of models, selection of models, and deployment of models as web services for third-party consumption using Microsoft Azure Machine Learning’s (AzureML) CI/CD tools. We conducted a practical experiment utilizing AzureML pipelines with predefined and custom modules, demonstrating its readiness for integration into any production application. We also successfully integrated this architecture into a real-world product designed for industrial forecasting. This practical implementation demonstrates the effectiveness and adaptability of our approach, indicating its potential to address diverse training needs. Keywords and phrases: Artificial Intelligence, Automation, Optimization.

OnRoad Fuel and Breakdown Management

The objective of the project is to create and implement a fuel and breakdown assistance on-road system that makes it easier for customers to refill their vehicles and to access mechanical assistance in the event of an on-road emergency. The system is composed of four modules: Admin, Fuel Station, Mechanic and Customer. An admin module will take care of the overall management of the system. This module will allow the administrator to keep an eye on and manage the operation of the system. A fuel station module allows customers to find the nearest fuel station, check the fuel prices and book the delivery of the fuel to the customer’s location. A mechanic module allows customers to ask for mechanical help and connect with the nearby mechanics so that the customer can get back to the road as quickly as possible. A customer module will give the customer an easy-to-use interface that allows the customer to access all of the services that the system offers. The custom er can log into the system and use the services provided according to their requirement. The system will be based on modern technologies that ensure scalability, security, and ease of use..

Trends Kart

"Trends Kart" focuses on the development of a Customer Relationship Management ,which serves as a digital tool to manage and analyze customer interactions and data throughout the customer lifecycle. Trends Kart system offers businesses a centralized platform to store and track customer information, including contact details, purchase history, and communication history. By leveraging Trends Kart systems, businesses can improve customer relationships, optimize communication, identify sales opportunities, and efficiently handle customer support inquiries. The proposed system emphasizes the importance of considering specific business needs and goals when selecting a Trends Kart system, highlighting key features such as contact and customer data management, sales and marketing automation, customer support and service management, and reporting and analytics. The effective implementation of Trends Kart can result in enhanced customer relationships, increased operational efficiency, and revenue growth. The project further discusses the working modules of the Trends Kart system, including the Admin Module, CR Manager Module, Customer Module, and Business Module, detailing their functionalities and contributions to managing customer relationships and business operations. The website utilizes various technologies and frameworks such as React, NodeJS, Express, MongoDB

Model of Halal Center of the State Islamic University of Fatmawati Sukarno Bengkulu Based on Research and Development

The establishment of the Halal Center of UIN Fatmawati Sukarno Bengkulu is very important to provide convenience for MSME actors in obtaining halal certification. Based on the perception data described above, it is necessary to monitor and facilitate the mentoring process for MSME actors. Halal product process assistant (PPH) is a service that must be available in a halal center, particularly in universities. Before implementing this PPH mentoring, it is necessary to have training in order to provide understanding and knowledge before implementing the mentoring process with MSMEs. To find out and analyze the halal center model at UIN Fatmawati Sukarno Bengkulu using the research and development method. The researchers designed the PPH mentoring module based on the materials needed during the training. The following are the stages of compiling the PPH mentoring module by the researcher adapting the 4D development model by Thiagarajan. Based on the results of the module trial, it is known that the informants/respondents of this study gave a good perception of the PPH mentoring module. The first statement is that the material in the training module chosen is based on the need for assistance and has an average score of 4.79. The material in the training module is in accordance with the training objectives of 4.73. The highest average score of informants/respondents' answers is that the material in the training module is presented in an interesting manner, and discussed in depth at 4.92. This shows that the material presented in the module is relevant to the training activities carried out, making it easier for module users to get the material. According to the statement, the training module material can provide benefits in terms of knowledge and skills in PPH mentoring of 3.46. This is followed by a statement that the material in the module explains thoroughly the process of halal products with an average value of 4.63 and non-halal products with a value of 4.71. The material in the module is presented systematically with an average value of 4.72. This means that the modules are presented systematically so that users can easily understand the material explained and participate in PPH mentoring training.

CUSTOMIZED ERP SOFTWARE FOR LOGISTICS MANAGEMENT

A Customized Enterprise Resource Planning (ERP) System is a solution created specifically to solve problems and meet the needs of a particular organization. This paper presents the customization of ERP software and presents how an ERP Software can be designed to cater to and manage the logistics of an organization’s transit movements. A customized ERP Software typically involves the use of software development tools and techniques to create custom modules, reports, and functionality that are not available in a standard ERP Software.

Improving documentation of blood product administration using a standardized electronic health record-based system: a single-institution experience.

To improve documentation of blood product administration by assessing the completion status of blood transfusions. In this way, we can ensure compliance with the Association for the Advancement of Blood & Biotherapies standards and facilitate investigation of potential blood transfusion reactions. This before-and-after study includes the implementation of an electronic health record (EHR)-based, standardized protocol for documenting the completion of blood product administration. Twenty-four months of retrospective data (January-December 2021) and prospective data (January-December 2022) were collected. Meetings were held before the intervention. Ongoing daily, weekly, and monthly reports were prepared, and targeted education to deficient areas as well as spot in-person audits by the blood bank residents were conducted. During 2022, 8,342 blood products were transfused, of which 6,358 blood product administrations were documented. The overall percentage of completed transfusion order documentation improved from 35.54% (units/units) in 2021 to 76.22% (units/units) in 2022. Interdisciplinary collaborative efforts helped produce quality audits to improve the documentation of blood product transfusion through a standardized and customized EHR-based blood product administration module.