Web System Research Articles

17α Hydroxylase/17,20 lyase deficiency: clinical features and genetic insights from a large Turkey cohort

Purpose17α Hydroxylase/17,20 lyase deficiency (17OHD) is a rare form of congenital adrenal hyperplasia, typically diagnosed in late adolescence with symptoms of pubertal delay and hypertension. This study aimed to determine the clinical and laboratory characteristics of 17OHD cases and gather data on disease management.MethodsData from 97 nationwide cases were analyzed using the CEDD-NET web system. Diagnostic, follow-up findings, and final heights of patients were evaluated.ResultsMean age at admission was 13.54 ± 4.71 years, with delayed puberty as the most common complaint. Hypertension was detected in 65% at presentation; hypokalemia was present in 34%. Genetic analysis revealed Exon 1–6 homozygous deletion as the most frequent mutation, identified in 42 cases. Hydrocortisone replacement was universal; pubertal replacement was administered to 66 cases. Antihypertensive treatment was required in 57 (90%) patients. Thirty-seven cases reached final height, with an average SD of 0.015 in 46,XX and −1.43 in 46,XY. Thelarche and pubarche did not develop properly in some cases despite estradiol treatment.ConclusionThis study represents the largest cohort of pediatric cases of 17-hydroxylase deficiency (17OHD) documented in the literature. Hypertension and hypokalemia can serve as guiding indicators for early diagnosis.The final height is typically considered to be normal. The relationship between genotype and phenotype remains elusive. The initial genetic test for exon 1–6 deletions may be MLPA in our region.

Design and building system analysis on the smart fisheries village (SFV) website at the banyuwangi fisheries training and counseling center

This research aims to analyze and design a smart fisheries village-based website system to facilitate back-end, front-end, and UI/UX designers in the application of website creation according to the needs desired by the agency and with an organized database so that the creation of data reports will be faster. The early stages of the research began with the identification of the the specific needs of fishing villages and involved an in-depth analysis of the system needs that supported the vision of the Smart Fisheries Village. The design began with data collection consisting of observation methods and interviews, where researchers interviewed the authorities. In this method, the author gives 5 questions to the user, data analysis, and design of the Unified Modeling Language (UML). The design of this SFV web system uses a Unified Modeling Language (UML), which involves the use of diagrams and UML notation to describe various aspects of the system visually. The results of this study include UML diagrams, which encompass activity diagrams (for users and admins), flow diagrams (for users and admins), use case diagrams (for users and admins), and class diagrams that have undergone 4-5 iterations. The design of the Smart Fisheries Village website system is necessary to improve the welfare of the fishing village. Contributions of this research include the standardization of modeling, increased productivity, improved analysis and planning, and improved understanding. Previous research might have concentrated on a single type of system or domain. However, research should be expanded to various types of systems and industries.

The Future Process of Japan’s Population Aging: A Cluster Analysis Using Small Area Population Projection Data

Japan’s population aging is the most advanced in the world today. No nationwide study has been conducted using small area population projection data on Japan’s aging population. This is because such projection data was unavailable for Japan before the 2016 launch of the website ‘The Web System of Small Area Population Projections for the Whole Japan’ (SAPP for Japan). SAPP for Japan opened the small-area and long-term projected population of Japan for the first time on the World Wide Web. The purpose of this study is to quantitatively analyze the future aging process using data from the SAPP for Japan and, based on this analysis, to attempt to present the standard aging process that developed countries will experience after the demographic transition, taking advantage of the fact that Japan has the most aged population in the world. Subsequently, a non-hierarchical cluster analysis was performed using two statistics on aging: the elderly population proportion and the elderly population change index, and the small areas were classified into seven clusters. Furthermore, this study examined the demographic and geographical features of the clusters, introduced a new concept of the stage in the population aging process, and analyzed the relationship between the features and the stages. To conclude, the following findings were obtained regarding the future process of Japan’s population aging. In each area of Japan, first, the total population begins to decline, second, the elderly population begins to decrease, and finally, its proportion begins to decrease. These stage shifts generally proceed earlier in areas with a higher elderly population proportion and are attributed to the reduced size of younger cohorts owing to long-term fertility decline. This process would be the norm in many developed countries after the demographic transition.

Sex-specific aspects on prognosis after aortic valve replacement for aortic stenosis: a SWEDEHEART registry study

ObjectiveTo compare long-term cardiovascular (CV) outcomes between men and women with aortic stenosis (AS) undergoing aortic valve replacement (AVR) by the type of valve implant.MethodsThe study population consisted of 14...

Adaptive Classroom Berbasis IoT (Internet of Things), Manajemen Penggunaan Air Conditioner (AC) secara otomatis

Temperature and humidity are one of the comfort factors. According to the SNI standard, the comfortable temperature range is at 20.5°C-27.1°C. If the temperature is above 27.1°C, an Air Conditioner (AC) is needed to get the effective thermal comfort. AC installed in each PSTI FT UNRAM classroom is operated manually. This research implements Internet of Things (IoT) for automatic AC usage management. This IoT device is made using PIR sensor and DHT22 sensor, the MQTT protocol for data communication between the IoT device and the web system. Based on the testing scenario for the classroom containing students and the empty classroom that has been done, the IoT device is able to manage the AC usage automatically, so that the classroom can be called adaptive classroom. From the MOS testing that has been done, a value of 4.57 from a scale of 5, the system is feasible to use.

Client state management using backend for frontend pattern architecture in B2B segment.

The article considers an architectural pattern Backend for Frontend (BFF) for developing web systems using microservice approaches. The main purpose of this article is to research aspects that existing solutions like WunderGraph cannot provide and propose a solution that enables client state management using the backend for Frontend pattern architecture specifically tailored for the B2B segment's requirements in Frontend development. During current research, there is defined a concept of API Provider Factory, Public API Gateway, Client State Management and proposes ways for their implementation. Methods of research are based on modeling, analysis, comparing, experiment, and abstracting.

Pengembangan Sistem Manajemen Aktivitas Berbasis Web dan Mobile untuk Pemilik Rumah Di Desa

This research aims to develop a web and mobile system for activity management for homeowners in villages. Villages have a smaller population compared to cities, but as the population in villages increases, activities in villages become more difficult to manage. Developing a web and mobile activity management system is a necessity and needs to be proposed to solve problems in villages. So it is necessary to develop web and mobile system applications so that it makes it easier for village house owners to use cellphones or computers to access village services. Admin can make appointments for village officials and admin can make village reports. Residents who have houses in the village are able to manage family members and guests, edit, update profiles. Apart from that, you can also upload payment receipts for maintenance with this application and can report to the manager if there is a problem around the house. By using this application you can also register animals and vehicles. Guards can monitor guests entering and exiting the village area.. In designing the user interface using Flutter which functions in developing front-end mobile applications and React for websites. On the backend, the Mongo database has been used to connect to both web and mobile platforms.

Implementation of explanatory texts output for bridge damage in a bridge inspection web system

Bridge photographs contain significant technical information, such as damaged structural parts and types of damage, yet interpreting these details is not always straightforward. Despite the advancements in image analysis for bridge inspection, there remains a significant gap in converting these images into comprehensible explanatory texts that can be readily used by less experienced engineers and administrative staff for effective maintenance decision-making. In this study, we developed a model that generates explanatory texts from bridge images based on a deep learning model, and we also developed a web system that can be utilized during bridge inspections. The proposed method enables the provision of user-friendly, text-based explanations of bridge damage within images, allowing relatively inexperienced engineers and administrative staff without extensive technical expertise to understand the representation of bridge damage in text form. Additionally, we have developed a system that continually trains and improves its performance by accumulating data as users interact with it. This paper describes the image captioning technique for generating explanatory texts and the structure of the web system.

Estimating Future Financial Development of Urban Areas for Deploying Bank Branches: A Local-Regional Interpretable Model

Financial forecasting is an important task for urban development. In this article, we propose a novel deep learning framework to predict the future financial potential of urban spaces. To be more precise, our target is to infer the number of financial institutions in the future for any arbitrary location with environmental and geographical data. We propose a novel local-regional model, the L ocal-Regional I nterpretable M ulti- A ttention (LIMA) model, which considers multiple aspects of a location—the place itself and its surroundings. Besides, our model offers three kinds of interpretability, providing a superior way for decision makers to understand how the model determines the prediction: critical rules learned from the tree-based module, surrounding locations that are highly correlated with the prediction, and critical regional features. Our module not only takes advantage of a tree-based model, which can effectively extract cross features, but also leverages convolutional neural networks to obtain more complex and inclusive features around the target location. Experimental results on real-world datasets demonstrate the superiority of our proposed LIMA model against existing state-of-the-art methods. The LIMA model has been deployed as a web system for assisting one of the largest bank companies in Taiwan to select locations for building new branches in major cities since 2020.

Технология сквозной разработки мобильных приложений для людей с ограниченными интеллектуальными возможностями

The features of developing mobile applications for users with intellectual disabilities are examined. A technology for developing mobile applications is proposed, utilizing a template multi-module architecture that allows for the selection of ready-made functional solutions from a module repository. A method for developing an adaptable mobile applica-tion interface is described, including the creation of screen templates with interface elements, categorizing template elements into mandatory and optional, and matching each element with sets of possible images. A web system is out-lined that supports the stages of creating and operating mobile applications with an adaptable interface. Examples of developed mobile applications demonstrate their effectiveness for users with intellectual disabilities. A method is pro-posed for adapting the mobile application interface using a configuration panel, which supports the life cycle of mobile applications for this user category. An ontology was selected as a formal model for representing knowledge, enabling the extraction of knowledge for developing mobile applications with an adaptable interface and applying it to create applications accessible to people with intellectual disabilities.

A materials terminology knowledge graph automatically constructed from text corpus

A scalable, reusable, and broad-coverage unified material knowledge representation shows its importance and will bring great benefits to data sharing among materials communities. A knowledge graph (KG) for materials terminology, which is a formal collection of term entities and relationships, is conceptually important to achieve this goal. In this work, we propose a KG for materials terminology, named Materials Genome Engineering Database Knowledge Graph (MGED-KG), which is automatically constructed from text corpus via natural language processing. MGED-KG is the most comprehensive KG for materials terminology in both Chinese and English languages, consisting of 8,660 terms and their explanations. It encompasses 11 principal categories, such as Metals, Composites, Nanomaterials, each with two or three levels of subcategories, resulting in a total of 235 distinct category labels. For further application, a knowledge web system based on MGED-KG is developed and shows its great power in improving data sharing efficiency from the aspects of query expansion, term, and data recommendation.

Early warning system for headwater risk in Johor Eco-Park: First development life cycle report

Abstract The headwater phenomenon is common in tropical waterfall and upper stream of Johor Eco-Park and threatens the visitors. Prior to that, an IoT system has been developed to issue early warning alert to the eco-park users on headwater risk. This paper presents the first life cycle report for the early headwater risk system in Gunung Pulai and Gunung Belumut Eco Park. Adapting the spiral development life cycle (SDLC), the system has completed its first complete spiral cycle whereas it has been implemented. This first SDLC report consists of four different parts: (i) problem and risk management, (ii) framework, (iii) system development, and (iv) testing and implementation. The alert on the site was triggered by the warning siren at the strategic locations. Simultaneously, the alert was also triggered in the web system and phone application to the eco-park management and prospective users to prevent from entering the premises. An auto generated report were also issued to provide potential disaster information for further action from the respective authorities. The developed system is subjected to be improved in the 2nd cycle by addressing several drawbacks including telecommunication signals, noise minimization, and threats from wild animals to the devices.

Cross-site scripting (xss) vulnerability in the cirebon district health service web system

Cross-site scripting (xss) vulnerability in the cirebon district health service web system

Pembangunan Sistem Pengelolaan Event Atma Jaya Yogyakarta Menggunakan React dan .Net5 Berbasis Web dan Mobile

Atma Jaya Yogyakarta University until today, has had its own system to disseminate information to its students and staff, but in terms of event management, the system owned has not met the most important needs of its users. The purpose of this research is to design and build a web and mobile-based event management system using the ASP .Net Core 5 framework and the React Native framework so that it can be used in the Atma Jaya Yogyakarta University environment. The research was conducted through several methods, namely observation, literature study, and system development. In addition, application testing was carried out by distributing questionnaires to 29 respondents who participated on the participant page and 4 respondents on the admin page. After going through the process of designing, building, and testing applications, this research succeeded in building an event management application at Atma Jaya Yogyakarta University with the name UAJY Events. With the construction of the UAJY Events application, management, registration and search for events organized in the university environment can be done more efficiently.

Semantically Enriched Keyword Prefetching Based on Usage and Domain Knowledge

In intelligent web systems [2], web prefetching [27] plays a crucial role. In order to make accurate predictions for web prefetching, it is important but challenging to uncover valuable information from web use statistics [16]. Using statistics and domain expertise, this study presents a new approach dubbed SPUDK for efficient prefetching. In this paper, it is shown how web access logs can be used efficiently for browsing prediction. Our main focus is on the technique needed to manage the queries found in web access logs so that valuable information can be attained. We further process these access logs using a taxonomy and a thesaurus, WordNet, to find the semantics of queries. SPUDK, a system that organises use data into semantic clusters, is one example of this approach. Our contributions in this paper are as follows: (1) A technique to exploit query keywords from access logs. (2) An approach to enrich queries with semantic information. (3) A new similarity measure for finding similarity among URLs present in access logs. (4) A novel clustering technique to find semantic clusters of URLs. (5) Experimental evaluation of the proposed system. The proposed SPUDK system is evaluated using American Online (AOL) logs, which gives improvement of 39% in precision of prediction, 35% in hit ratio and reduction of 50.6% in latency on average as compared to other prediction techniques in the literature.

Sistem Informasi Layanan Konsultasi Kesehatan Mental Berbasis Website

Providing adequate accessibility to mental health services is a significant challenge in improving community well-being. The lack of accessibility to existing mental health services is a major problem that needs to be addressed. To overcome these problems, this research focuses on developing a web-based system using the waterfall method and utilizing Node.js and Express.js technologies. The developed system aims to increase the accessibility of mental health consultation services, allowing users to consult with professional doctors flexibly, wherever and whenever they need it. In the development of this system, special attention was paid to the scheduling and payment process. The system successfully implements features that allow users to easily schedule consultations with notifications sent after successful scheduling. In addition, the system also provides integrated payment facilities, so that users can easily pay consultation fees online. The system evaluation results show that the implementation of the waterfall method in the development of this web system provides satisfactory results, with key functions such as scheduling and payment running well. System users reported a positive experience in using this system, with accessibility and ease of use.

Camera-Based Crime Behavior Detection and Classification

Increasing numbers of public and private locations now have surveillance cameras installed to make those areas more secure. Even though many organizations still hire someone to monitor the cameras, the person hired is more likely to miss some unexpected events in the video feeds because of human error. Several researchers have worked on surveillance data and have presented a number of approaches for automatically detecting aberrant events. To keep track of all the video data that accumulate, a supervisor is often required. To analyze the video data automatically, we recommend using neural networks to identify the crimes happening in the real world. Through our approach, it will be easier for police agencies to discover and assess criminal activity more quickly using our method, which will reduce the burden on their staff. In this paper, we aim to provide anomaly detection using surveillance videos as input specifically for the crimes of arson, burglary, stealing, and vandalism. It will provide an efficient and adaptable crime-detection system if integrated across the smart city infrastructure. In our project, we trained multiple accurate deep learning models for object detection and crime classification for arson, burglary and vandalism. For arson, the videos were trained using YOLOv5. Similarly for burglary and vandalism, we trained using YOLOv7 and YOLOv6, respectively. When the models were compared, YOLOv7 performed better with the highest mAP of 87. In this, we could not compare the model’s performance based on crime type because all the datasets for each crime type varied. So, for arson YOLOv5 performed well with 80% mAP and for vandalism, YOLOv6 performed well with 86% mAP. This paper designed an automatic identification of crime types based on camera or surveillance video in the absence of a monitoring person, and alerts registered users about crimes such as arson, burglary, and vandalism through an SMS service. To detect the object of the crime in the video, we trained five different machine learning models: Improved YOLOv5 for arson, Faster RCNN and YOLOv7 for burglary, and SSD MobileNet and YOLOv6 for vandalism. Other than improved models, we innovated by building ensemble models of all three crime types. The main aim of the project is to provide security to the society without human involvement and make affordable surveillance cameras to detect and classify crimes. In addition, we implemented the Web system design using the built package in Python, which is Gradio. This helps the registered user of the Twilio communication tool to receive alert messages when any suspicious activity happens around their communities.

Surveying Authentication and Authorization Mechanisms in Today's Web Technology Landscape

This paper presents a comprehensive survey of authentication and authorization mechanisms in contemporary web technology. It examines the diverse approaches and frameworks employed to secure web systems and protect user data. Beginning with an overview of fundamental concepts such as authentication methods and access control models, the paper explores the landscape of authentication and authorization in depth. It evaluates the effectiveness and limitations of various authentication methods, including passwords, biometrics, and multifactor authentication (MFA). Additionally, the paper scrutinizes authorization mechanisms such as role-based access control (RBAC), attribute-based access control (ABAC), and policy-based access control (PBAC). Through a systematic review of integration frameworks like OAuth and OpenID Connect, it assesses their role in facilitating secure authentication and authorization processes. Furthermore, the paper analyzes emerging trends and innovations in authentication and authorization practices, providing insights into the future direction of web security. By synthesizing existing research and identifying key challenges and opportunities, this survey paper aims to inform researchers, practitioners, and policymakers about the state-of-the-art in authentication and authorization mechanisms and guide future developments in web security.

Web System to Support the Teaching of an Undergraduate Distributed Systems Course

This paper introduces a web-based system that supports the teaching of an undergraduate (UG) distributed systems course. It specifically describes a web system that was developed to complement the functionality of web objects in the XML (WOX) framework. It allows for storing and visualizing the state of distributed objects, as well as displaying and executing methods through a web interface. Users can provide values for each of the parameters. The WOX framework is essential to note as it facilitates the development of distributed applications that are object-based and can interoperate among different object-oriented programming languages. WOX employs the XML format to represent objects and uses HTTP as the communication protocol.

Artificial intelligence for beach monitoring: An experimental study of beach attendance at El Rodadero, Colombia

Having accurate data on the number of beach users is vital for planning services and managing overcrowding at high-demand tourist destinations. Obtaining this data has traditionally been a time-consuming task. This study proposes a novel approach to automating the counting process based on computer vision and artificial intelligence. Three HIKVISION PTZ (“Point, Tilt, Zoom”) surveillance cameras were installed on the roofs of the strategic buildings of El Rodadero, Santa Marta, D.T.C.H. Colombia. This observation system provided more than 150 000 observations spanning more than a year (September 2022–October 2023). An algorithm based on the YOLOv5 architecture was trained using a dataset containing over 50 000 labels of people at the beach or in water backgrounds. Applied to surveillance camera images in El Rodadero, Santa Marta, D.T.C.H. Colombia., this algorithm had the ability to identify individuals with high spatiotemporal detail. Beach users were detected over water and on the beach with true positive rates of 81% and 89%, respectively. The counts of beach users made by the model were highly correlated with counts verified by humans with an R2 of 91%. When compared to these expected numbers, the model counted an average of 2–18% fewer people, with a lower error on the beach than on the water. Adjusting for that underestimation the average occupancy at El Rodadero was 125 132 m2 per person, but during peak times, such as long weekends, this number decreased to less than 3 m2 per person. This information is critical for authorities to make informed decisions and for visitors to choose less crowded beaches, avoiding overcrowding. To facilitate access to this information, an automated web system had been created that displayed updated results and allowed downloads for registered users.