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Noise pollution derived from motor vehicles, especially those with noisy engines, constitutes a significant challenge in urban environments, impacting quality of life and public health. In this context, the present study focuses on the implementation of an advanced technological solution: a web-based system specifically designed to monitor and manage noise pollution in Tarapoto, Peru. The execution of this project was structured in 4 key phases. The first phase involved extensive data collection and definition of the project scope. In the second phase, the system architecture was established based on initial observations. The third phase focussed on evaluating and improving system functionalities, while the fourth involved rigorous testing and corrections. The successful implementation of this system led to a significant improvement in the noise pollution monitoring process, reducing reporting times and improving data-driven decision making. This project not only provides a valuable tool for authorities in the management and mitigation of noise pollution, but also encourages community awareness and active participation in the sustainable management of the urban acoustic environment. [ABSTRACT FROM AUTHOR]

Background Currently, retail companies that fail to digitise their logistics processes experience difficulties in controlling stock, resulting in inaccuracies in the quantity of products and excess amounts in the warehouse. Consequently, the aim was to introduce a web-based system to enhance inventory control in retail firms within the city of Huaraz. Methods The Extreme Programming methodology was implemented in four phases. During the planning phase, roles and user stories were established. In the coding phase, Hypertext Preprocessor and JavaScript programming languages were utilised alongside the MySQL database management system. The testing phase involved evaluating each interface’s functionality to ensure that it was a part of the web system. The objective of this was to develop the web system and utilise it as an inventory control tool. Results The utilization of the web-based system within the logistics sector led to enhanced indicators, as seen through a 52.94% increase in inventory precision rate and 91.94% rise in the stock turnover rate. Conclusions The web system facilitates the minimisation of input errors in product quantity records while also enabling visualisation of such data. It further provides an illustrated representation, in the form of a bar graph, of each product’s indicator behaviour.

Background Nowadays, companies face continuous changes, which force them to be more versatile by managing large volumes of data, which do not always become relevant information for decision making. Therefore, the objective of this research is to implement a management information system to improve administrative management in micro and small businesses. Method it was developed under the approach of the agile methodology “SCRUM” following its 5 phases; In addition, the visual basic programming language in ASP.NET was used for the development of the source code and Microsoft SQL Server 2019 and its extensions: Ma-nagement Studio for data processing, “Integration Services” for the migration to the new dimensional model, Reporting Services for reports and Looker Studio for dashboards. Results The implementation of a management information system based on a dashboard allowed managers to obtain relevant information quickly and easily, optimizing decision-making times. In addition, the system allowed for homogeneous comparisons by level, which made it easier to identify deviations in commercial goals and the implementation of corrective actions such as adjustments in goals, changes in productivity, among others. Another result was the visualization of the monthly behavior of the financial system, which helped management structure short, medium and long-term strategies; in addition to the export of reports for “offline” analysis, which facilitates the work of employees in the field. Conclusions This allows reducing the time invested in generating reports, improving the efficiency and precision of the analysis. In addition, it has facilitated the identification of opportunities for improvement in administrative and commercial management, specifically in average productivity and the weighted average rate per advisor.

In the development of web systems, data uploading is a relatively important function. The traditional method of uploading data is to manually fill out forms, but when the data to be uploaded mostly exist in the form of form images, and the form content contains a lot of similar field information and irrelevant edge information, using traditional methods is not only time-consuming and labor-intensive, but also prone to errors. This requires a technology that can automatically fill in complex form images. OCR is an optical character recognition technology that can convert images into digitized text data using computer vision methods. However, using this technology alone cannot complete the tasks of extracting relevant data and filling corresponding fields. To address this issue, this article proposes a method that combines OCR technology and Levenshtein multi-text similarity. This method can effectively solve the problem of data filling after parsing complex form images, and the application results of this method in web systems show that the filling accuracy for complex form images can reach over 90%. [ABSTRACT FROM AUTHOR]

The objective of this research was to consolidate the tourism value chain through the implementation of information technologies in the province of Huanta, Ayacucho region, Peru. The research is applied with a pure experimental design. It resulted in the generation of the web system of the tourist directory of Huanta, mobile application of the directory and 2D video game inspired by tourist sites; these tools are an ally and even more so in a context of pandemic to consolidate the articulation between the actors of the tourism value chain, providing accurate and updated information to the visitor or tourist through the internet and digital channels. [ABSTRACT FROM AUTHOR]

The workforce constitutes a fundamental element of organisations, and effectively addressing the challenges associated with governing employees is crucial for maintaining the overall stability of the firm. In the past, businesses and organisations used to depend on manual attendance tracking systems within their human resources departments to manage their staff. In the contemporary era characterised by significant advancements in technology, several recommendations are put out to enhance the existing system. Nevertheless, it is possible that small enterprises may encounter difficulties in coping with the escalating living expenses and the expenses associated with implementing an advanced attendance management system. Hence, this study proposes the creation of a straightforward yet dependable mobile application for the purpose of documenting and overseeing staff attendance through the utilisation of Flutter. The application was developed in a series of incremental steps utilising the Waterfall methodology. The effectiveness and acceptance of the application were evaluated using a comprehensive testing process that included both functionality and usability testing. Both testing findings yielded favourable outcomes, indicating that the application was favourably received by the responders. The application is anticipated to provide assistance to small enterprises or organisations that have encountered challenges in managing their operating expenses.

Background Inventory management in educational institutions presents unique challenges due to the diverse sources of information and the need for improved team collaboration. This research aims to enhance inventory processes in educational institutions by leveraging information technology to optimize efficiency and ensure data integrity and reliability. Methods The study employed a five-phase methodology to develop a web-based inventory optimization system. The initial phase involved a comprehensive analysis of inventory requirements, considering multiple data sources and team needs. Subsequently, in the planning phase, requirements were prioritized, and tasks with corresponding deadlines were established. The implementation phase adhered to the requirements outlined in the planning phase, utilizing appropriate information technologies to ensure efficient and reliable operation. A thorough system review was conducted to assess the achievement of each requirement’s objectives, with necessary adjustments made as needed. Finally, following the completion of the previous phases, the developed software was deployed, and additional testing was conducted to ensure proper functionality. Results Following the implementation of the web-based system, significant improvements were observed: an 85.51% increase in efficiency for goods searches, streamlining the process and reducing location times; a 90.31% enhancement in goods registration, ensuring greater accuracy and data reliability; an 83.11% improvement in annual goods report generation, simplifying reporting and offering a clearer view of the inventory. Overall, the inventory process experienced an 86.31% improvement, leading to enhanced efficiency and collaboration among administrative and teaching staff. The utilization of information technology reduced inventory processing times and ensured the uniqueness and reliability of information. Conclusions This research focuses specifically on optimizing inventory management in educational institutions through information technology. The study’s uniqueness lies in its tailored web-based system designed to address the specific needs of educational institutions. The results demonstrate the effectiveness of this approach and its positive impact on inventory management.

Background Inventory management in educational institutions presents unique challenges due to the diverse sources of information and the need for improved team collaboration. This research aims to enhance inventory processes in educational institutions by leveraging information technology to optimize efficiency and ensure data integrity and reliability. Methods The study employed a five-phase methodology to develop a web-based inventory optimization system. The initial phase involved a comprehensive analysis of inventory requirements, considering multiple data sources and team needs. Subsequently, in the planning phase, requirements were prioritized, and tasks with corresponding deadlines were established. The implementation phase adhered to the requirements outlined in the planning phase, utilizing appropriate information technologies to ensure efficient and reliable operation. A thorough system review was conducted to assess the achievement of each requirement’s objectives, with necessary adjustments made as needed. Finally, following the completion of the previous phases, the developed software was deployed, and additional testing was conducted to ensure proper functionality. Results Following the implementation of the web-based system, significant improvements were observed: an 85.51% increase in efficiency for goods searches, streamlining the process and reducing location times; a 90.31% enhancement in goods registration, ensuring greater accuracy and data reliability; an 83.11% improvement in annual goods report generation, simplifying reporting and offering a clearer view of the inventory. Overall, the inventory process experienced an 86.31% improvement, leading to enhanced efficiency and collaboration among administrative and teaching staff. The utilization of information technology reduced inventory processing times and ensured the uniqueness and reliability of information. Conclusions This research focuses specifically on optimizing inventory management in educational institutions through information technology. The study’s uniqueness lies in its tailored web-based system designed to address the specific needs of educational institutions. The results demonstrate the effectiveness of this approach and its positive impact on inventory management.

Background Inventory management in educational institutions presents unique challenges due to the diverse sources of information and the need for improved team collaboration. This research aims to enhance inventory processes in educational institutions by leveraging information technology to optimize efficiency and ensure data integrity and reliability. Methods The study employed a five-phase methodology to develop a web-based inventory optimization system. The initial phase involved a comprehensive analysis of inventory requirements, considering multiple data sources and team needs. Subsequently, in the planning phase, requirements were prioritized, and tasks with corresponding deadlines were established. The implementation phase adhered to the requirements outlined in the planning phase, utilizing appropriate information technologies to ensure efficient and reliable operation. A thorough system review was conducted to assess the achievement of each requirement’s objectives, with necessary adjustments made as needed. Finally, following the completion of the previous phases, the developed software was deployed, and additional testing was conducted to ensure proper functionality. Results Following the implementation of the web-based system, significant improvements were observed: an 85.51% increase in efficiency for goods searches, streamlining the process and reducing location times; a 90.31% enhancement in goods registration, ensuring greater accuracy and data reliability; an 83.11% improvement in annual goods report generation, simplifying reporting and offering a clearer view of the inventory. Overall, the inventory process experienced an 86.31% improvement, leading to enhanced efficiency and collaboration among administrative and teaching staff. The utilization of information technology reduced inventory processing times and ensured the uniqueness and reliability of information. Conclusions This research focuses specifically on optimizing inventory management in educational institutions through information technology. The study’s uniqueness lies in its tailored web-based system designed to address the specific needs of educational institutions. The results demonstrate the effectiveness of this approach and its positive impact on inventory management.

In the development of web systems, data uploading is a relatively important function. The traditional method of uploading data is to manually fill out forms, but when the data to be uploaded mostly exist in the form of form images, and the form content contains a lot of similar field information and irrelevant edge information, using traditional methods is not only time-consuming and labor-intensive, but also prone to errors. This requires a technology that can automatically fill in complex form images. OCR is an optical character recognition technology that can convert images into digitized text data using computer vision methods. However, using this technology alone cannot complete the tasks of extracting relevant data and filling corresponding fields. To address this issue, this article proposes a method that combines OCR technology and Levenshtein multi-text similarity. This method can effectively solve the problem of data filling after parsing complex form images, and the application results of this method in web systems show that the filling accuracy for complex form images can reach over 90%.

In order to detect potato crop pests from symptom images, a web platform was developed to facilitate the diagnosis of early and late blight from images of affected leaves. The Python programming language, the Flask framework, Bootstrap for platform styling, the necessary libraries, and Pycharm as development environment were used. Image recognition and artificial intelligence software tools, specifically artificial neural networks, were used to implement the diagnostic module. The system also includes the field monitoring record with the incidences of pests, allows incorporating new data, and provides information on management in correspondence with climate variability. For the diagnosis validation, images of symptoms confirmed by experts were taken. The neural network model used was 94.6 % accurate. Future work will include the detection of viruses, bacteria and other fungi from images. The tool is a useful and novel application at the service of agri-food safety, serving as a coordinated platform for plant protection technicians and farmers involved in potato cultivation. [ABSTRACT FROM AUTHOR]

With the gradual improvement of market economy, people' s consumption level is constantly improving, and the quality requirements are getting higher and higher. In order to study the management accounting information analysis platform based on artificial intelligence (AI) and realize the goal of accounting computerization, the application of AI in expert systems is applied to the field of accounting information analysis. The combination of subsystems is applied to the construction of AI accounting information web system, and the feasibility analysis of its theory and technology is carried out. The results show that its effect is obvious: accelerating the flow of all information and promoting the change of enterprise management mode. Moreover, compared with the traditional system algorithm, the accuracy of the system model is improved by 6%, and the time delay is reduced by 9ms, which makes the overall management level of the enterprise further improved, the scope of enterprise competition further expanded, and the cost of enterprise saved. [ABSTRACT FROM AUTHOR]

The increasing amount of data from web systems data is becoming one of the most valuable resources for information retrieval and knowledge discovery. The huge content of information makes it an important area for data mining research. To analyze the dependencies of the outcoming data, expressed as query scenarios, we present a new approach for evaluating the behavior of interactive web systems by applying different data mining techniques to solve the problem. We propose tools that take outcoming logs as input, analyze them, and provide information about web client actions. Qualitative and quantitative automatic evaluation of the data can explain the connections between the most significant parameters of the system in particular scenarios. In this paper, we propose a new method, which can be used to efficiently verify the type of client behavior of a web system or design of the system. The analysis of results demonstrates the possibility of efficient pattern search. [ABSTRACT FROM AUTHOR]

Natural disasters, such as tsunami, claim lives of many coastal residents every year. Therefore, tsunami evacuation drills are important for costal residents to survive tsunami. We developed a tsunami evacuation drill system that enables participants to evacuate and move to a shelter while occasionally glancing at a map-based tsunami simulation on mobile devices. The system has the following advantages: (1) a practitioner can easily customise the simulation, (2) the simulation can be displayed on a web browser and (3) the participants' evacuation routes can be recorded and displayed on the simulation system. We conducted a preliminary comparative experiment with 18 university students and found that the developed system was accepted more by participants using a tablet rather than by those using smartglasses. [ABSTRACT FROM AUTHOR]

To identify the needs of modern recruiting and determine the features of staff selection and evaluation using psychological testing, was conducted an analysis of existing developments and systems that are used in the modern recruitment process. The problems that HR managers have when testing a candidate and the company's staff are identified, and the disadvantages of modern recruiting systems are highlighted. According to the detailed structure of the personality and the structure of the psychological portrait, the main features of the candidate's personality were identified and selected methods that can be used for testing. A web-based system "KnitTe" for HR managers was developed, which allows clients to expand the functionality of their CRM systems (initial stage integration with Odoo CRM modules) and helps in making a decision about the suitability of a candidate for a specific position in terms of their psychological personality traits, as well as their psychological compatibility with other team members. The overall structure of the web system allows the client to get data from the CRM system, use built-in psychological tests, and get results. The "KnitTe" web-system uses reliable, valid and verified psychological methods, builds a psychological portrait of the candidate, checks the candidate's compliance with the chosen position, and analyzes the candidate's compatibility with the team.

The article considers the process of identifying and researching the factors influencing the success of web resources of higher education institutions (HEIs). In the course of the research the analysis of works devoted to this question is carried out, the analysis of the existing popular among users web resources is carried out, the criteria of an estimation of such systems are revealed. The analysis of the results of the survey of consumers of web resources of free economic education institutions helped to identify factors influencing the success of web resources of free economic education departments and to build a model of success of web resources of free economic education units. The developed model was implemented in the process of developing a new web resource of the Department of Information Technologies and Cyber Security of ONAFT, which provided an increase in the efficiency of information supply, attractiveness and demand for this resource. The results obtained in the study can be used in the construction of information web resources of higher education institutions to increase their attractiveness, information and attendance. [ABSTRACT FROM AUTHOR]

The increasing amount of data from web systems data is becoming one of the most valuable resources for information retrieval and knowledge discovery. The huge content of information makes it an important area for data mining research. To analyze the dependencies of the outcoming data, expressed as query scenarios, we present a new approach for evaluating the behavior of interactive web systems by applying different data mining techniques to solve the problem. We propose tools that take outcoming logs as input, analyze them, and provide information about web client actions. Qualitative and quantitative automatic evaluation of the data can explain the connections between the most significant parameters of the system in particular scenarios. In this paper, we propose a new method, which can be used to efficiently verify the type of client behavior of a web system or design of the system. The analysis of results demonstrates the possibility of efficient pattern search.

This paper presents the development of a web platform for the prevention and attention of cases of cyberbullying against Children and Adolescents, who currently due to the confinement by the COVID19 pandemic, are in greater contact with digital media. According to international and national statistics (in Mexico), children and adolescents are hyperconnected, with little supervision in the use of media and with out guidance in the safe and responsible use of technology. They are learning from home and school classrooms are now on digital media, so elementary, middle and high school students are not exempt from being victims of attacks such as cyberbullyng, sextortions, phishing and grooming, among others, which unfortunately affect their physical and psychological integrity. In coordination with an agency responsible for the protection of the rights of children and adolescents (the System for the Comprehensive Protection of Children and Adolescents of a local government), we worked on the analysis, design, development and testing of a platform that allows, mainly three things: 1) inform and prevent through digital content about online risks; 2) diagnose the vulnerability of children and adolescents to make decisions and implement targeted actions in schools where there is greater vulnerability; and finally, provide a reporting mechanism, through which children and adolescents can report to SIPINNA if they are victims of any type of cyberbullying and the organization can address or channel with the pertinent authorities. [ABSTRACT FROM AUTHOR]

Background: Inventory management in educational institutions presents unique challenges due to the diverse sources of information and the need for improved team collaboration. This research aims to enhance inventory processes in educational institutions by leveraging information technology to optimize efficiency and ensure data integrity and reliability., Methods: The study employed a five-phase methodology to develop a web-based inventory optimization system. The initial phase involved a comprehensive analysis of inventory requirements, considering multiple data sources and team needs. Subsequently, in the planning phase, requirements were prioritized, and tasks with corresponding deadlines were established.The implementation phase adhered to the requirements outlined in the planning phase, utilizing appropriate information technologies to ensure efficient and reliable operation. A thorough system review was conducted to assess the achievement of each requirement's objectives, with necessary adjustments made as needed. Finally, following the completion of the previous phases, the developed software was deployed, and additional testing was conducted to ensure proper functionality., Results: Following the implementation of the web-based system, significant improvements were observed: an 85.51% increase in efficiency for goods searches, streamlining the process and reducing location times; a 90.31% enhancement in goods registration, ensuring greater accuracy and data reliability; an 83.11% improvement in annual goods report generation, simplifying reporting and offering a clearer view of the inventory. Overall, the inventory process experienced an 86.31% improvement, leading to enhanced efficiency and collaboration among administrative and teaching staff. The utilization of information technology reduced inventory processing times and ensured the uniqueness and reliability of information., Conclusions: This research focuses specifically on optimizing inventory management in educational institutions through information technology. The study's uniqueness lies in its tailored web-based system designed to address the specific needs of educational institutions. The results demonstrate the effectiveness of this approach and its positive impact on inventory management., Competing Interests: No competing interests were disclosed., (Copyright: © 2023 Ramos-Miller M and Pacheco A.)

This paper introduces the basic concept of a new developed web-based databank for an assessment of seafarers’ functional status during the sea missions. The Web system is based on client-server architecture and the international open source technologies including Apache web server, PHP scripts and MySQL database. The paper focuses on the aspects and first results of the initial practical realization of the web-based databank. The main operational advantage of the developed system is the capability to on-line handle up to a dozen users at the same time. The system includes administrative data and questionnaires. Electronic data entry saves the time and material resources.

At present, plant electrophysiological data volumes and complexity are increasing rapidly. It causes the demand for efficient management of big data, data sharing among research groups, and fast analysis. In this paper, we proposed PlantES (Plant Electrophysiological Data Sharing), a distributed computing-based prototype system that can be used to store, manage, visualize, analyze, and share plant electrophysiological data. We deliberately designed a storage schema to manage the multi-source plant electrophysiological data by integrating distributed storage systems HDFS and HBase to access all kinds of files efficiently. To improve the online analysis efficiency, parallel computing algorithms on Spark were proposed and implemented, e.g., plant electrical signals extraction method, the adaptive derivative threshold algorithm, and template matching algorithm. The experimental results indicated that Spark efficiently improves the online analysis. Meanwhile, the online visualization and sharing of multiple types of data in the web browser were implemented. Our prototype platform provides a solution for web-based sharing and analysis of plant electrophysiological multi-source data and improves the comprehension of plant electrical signals from a systemic perspective. [ABSTRACT FROM AUTHOR]

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Copyright of Lámpsakos is the property of Fundacion Universitaria Luis Amigo, Facultad de Ingenierias and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A low cost web system has been developed to monitoring and control a greenhouse. The monitoring is performed by capturing climatologic variables inside the greenhouse, using sensors and microcontrollers installed inside it, which data is observed through the internet with a web application. The control is achieved by activating the right device, of high voltage, using the web application. This control is possible thanks to the integration of a protocol that allows communication between the user and the electronic devices implanted inside the environment to be monitored from the internet in real time. The system was tested according to the standard IEEE 1012 and inside a laboratory for vegetable's tissue growing. The results were favorable, and the system is actually fully operational. An agricultural engineer observed the tests. In the same way, he used the interfaces offered by the system, where its performance and capabilities were considered satisfactory. This low cost web system integrates emergent technologies underexploited which can be used to build a wide range of systems, because of the characteristics they possess. This is the case of the selected microcontrollers, which compared to other devices of the same kind, do not require of extra modules, such as network connection module, and because it integrates all in one board and they become smaller along the years, making them adaptable to develop any kind of project. [ABSTRACT FROM AUTHOR]