Today’s Application Performance Monitoring evolution is in a direct relationship with fast growing e-commerce demands and associated technology prerequisites. To fulfill the high-demanding range of market expectations, tools need to be more efficient and robust, considering newly developed algorithms that can perform optimal calculations in a correct and fast way. The technological upgrade that the e-business world is facing is very often translated into new possibilities of supervising the resources for planning accordingly and setting new thresholds in various e-commerce sectors. This means that Application Performance Monitoring must be more concise, more results oriented and more determined in managing big sets of data along with high transaction ranges. This optic is not only related to administrative purposes, but it also means a paradigm change in the world of resource allocation and digitization, in the context of a fast-changing information society. The newly proposed Application Performance Monitoring approach includes tools that can handle multiple integrations, Application Programming Interface calls with external parties and a wide range of transaction mechanisms that can be implemented in a fast and efficient way. Hence, this article proposes different models for monitoring mechanisms/tools that can integrate functions, procedures and even applications with the purpose of highlighting efficient resource allocation structures and their potential beneficial role in e-commerce optimization sector. Various integration schemas are proposed to be taken into consideration when developing an Application Performance Monitoring tool for solving complex monitoring requests, along with some web performance analysis because of associated mechanisms implementation. As a result, this article proposes different Application Performance Monitoring integration mechanisms for handling e-commerce and in general e-business solutions high demanding and complex requests.

Drones have been used in recent years more and more in various economic sectors (e.g., military, agriculture, retail, transport), but also for personal use and entertainment. The current legislative framework and cyber security standards do not fully address the identification of liable stakeholders in the drone ecosystem for cyber-incidents and the requirement to implement preventive cyber-security measures. The aim of this paper is to investigate how the usage of drones fits in the context of the digital economy. For this purpose, we use a complex questionnaire which was sent to a total of 233 respondents from May to July 2021. The responses are analyzed from a qualitative and quantitative perspective. Our results highlight the areas of improvement in the existing legislation and find the following: (1) respondents are willing to pay additional direct and indirect costs related to cyber security to benefit from more secure drones, (2) the entire ecosystem involved in drone production, distribution, and usage is responsible for ensuring the prevention of security breaches, and (3) respondents perceive a shared liability of stakeholders for certain types of cyber-attacks depending on the role of the stakeholders in the drone ecosystem and the type of vulnerability exploited by the cyber-attack. The details on the specific cyber-attack use cases detail each of the above for each type of cyber-attack. Finally, we make proposals to accommodate the new types of use cases brought by the use of drones in various economic contexts. The results of this research paper assist policy makers in terms of improvement to existing legislation in terms of the drone ecosystem. In addition, they increase visibility for stakeholders in the drone ecosystem in terms of aspects to focus on in order to increase the trust of clients in drone usage.

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<p>With the increase of the world’s population, the constant growth in food demand generates the need to find new ways of optimizing agricultural workflows. Today, a wide variety of software is dedicated to precision agriculture that helps the farmers gather data otherwise hardly available and extract information to minimize crop losses or prevent diseases. However, these solutions hardly allow a complete workflow from gathering the images, processing the datasets, and mapping and detecting the crop diseases. The solutions can be precisely applied where needed, without the need of manually exchanging information between applications. In this paper, we are proposing an architecture as well as a possible implementation for a web platform that can manage such workflows. The platform was implemented using ASP.NET Core 3.1 with C# as the main programming language. Following the best practices in terms of maintainability, the integration with third-party software was developed using proxy components that implement each components’ SDK or API, making these external solutions easily interchangeable. The first module presented in the paper covers the integration of third-party UAV controlling platforms. We integrated the UgCS commercial solution using the provided .NET SDK for our scenario. The data gathered by the UAVs controlled by this module, consisting of RGB, thermal and multispectral images, were stored using Azure Blob Storage cloud service. The location of each image data was acquired by extracting the XMP metadata and further stored using a PostgreSQL database with the PostGIS extension. Next, we provided a way to automatically generate the orthophoto imagery from the acquired data by integrating the Python API available in Agisoft Metashape. Lastly, using the products obtained from the previous step, we calculated different vegetation indices of the analyzed fields using C# and analyzed the outcomes using deep-learning models to identify and map vegetation health states. The platform has been implemented and tested for several case studies located across Romania, reaching satisfactory results.</p>

Because of the COVID-19 pandemic, numerous countries introduced severe restrictions for social interaction, work, education and travelling. Education was abruptly transferred to online environment, without preparation time for taking into consideration the learning needs of students, generated by their personality, learning style, ICT skills and gender. As such, the perception of the higher education quality might have been impacted by this emergency online learning. The current paper aims to identify if the sudden experience of online education generated by pandemic is differently perceived by students of different genders. For this, the results of a quantitative research deployed on students from Bucharest University of Economic Studies, after one year of experiencing online learning, were analysed and interpreted in the light of previous research in the field. These results point to the fact that there are differences between genders in what concerns the time required by online learning and the perception of future perspectives of employment, as a result of the received online education.