MythicVision: a deep learning powered mobile application for understanding Indian mythological deities using weight centric decision approach

In the development and design of Web application, the choice of framework development is very important. A good framework development can speed up the development of Web application, reduce development costs and the workload of developers. Meanwhile, Web application has good expansibility and portability. The framework based on SpringMVC + Spring + Mybatis (SSM) has good performance and rapid development efficiency, gradually becoming a mainstream development framework of Web application.

When an application developer wants to introduce a new idea to his application, the idea needs to be validated with hypothesis testing in order to prove the treatment variant (application with new idea) will become a better alternative compared with the control variant (base application). In web application development, controlled experiment (known as A/B test) is commonly used as tools for testing a hypothesis. Controlled experiment for native mobile application (hereinafter, mobile application) in this research is created based on controlled experiment in web. We identified three main difficulties in mobile application controlled experiment compared to experiment of web application: element composition, variant delivery, and network connectivity. We propose techniques to overcome the difficulties in controlled experiment for mobile application: splitter generator and plugin architecture + custom build system. This technique is implemented as set of tools for creating variant easily and conducting controlled experiment of mobile application, consists of variant generator, library for tracking experiment execution, a build system, and a monitoring web application. Tools have been tested using two cases. The experiment shows that our tools are able to help developer produce a controlled variant with clearer separation of concern and to conduct controlled experiment easier.

Web application have gained increased acceptance over the years in companies and organization as the world move to a global village. Software developers have also grown interest in developing web applications compared to stand-alone application because of the immense benefits it offers such as ubiquity, platform dependence, low cost of support and maintenance, better speed and performance, piracy proof etc. As mobile application emerged in the last decade, attention has been focused on mobile applications by organizations and businesses in order to maximize their profits as much as possible. There has been a rapid increase of software release in the mobile applications store. As the growth of both web application and mobile application increase, the question of quality assurance remains a concern. A comparative study of software testing techniques can be performed to improve the standard of testing of both web and mobile application. This paper therefore reviews the similarity and difference in the testing mechanism.

Web application development from simple web pages to complex interactive platforms (including social networks, e-commerce systems, corporate portals) requires new approaches, tools and technologies. JavaScript libraries and frameworks play a special role in developing web applications, simplifying the creation of effective, scalable, and convenient interfaces. The purpose of the article is to research the problems and prospects of using React in combination with Redux when creating web applications with a complex structure, to assess the advantages of their joint use in comparison with similar tools and to develop the web application “FarmerProducts”. The research methodology consists of the main methodological approaches and technological tools for developing web applications. Such methods, in particular, are: system and comparative analysis – to identify the features of creating web applications; method of expert assessments, which involves the study of literary sources and information resources, conducting interviews and surveys of experts, as well as the processes of developing and testing scalable and high-performance web applications based on the use of React and Redux. The scientific novelty of the research is the analysis of modern tools (React, Angular, Vue. js) for developing web applications, identifying problems and prospects for their use, creating an author’s web application (using React and Redux), which includes an intuitive interface, a flexible database, simplifying the process of working with the application by using a stack of modern technologies. Conclusions. The paper analyses the problems and prospects of using modern web application development tools; focuses on React, which is suitable for different projects; conducts a comparative analysis of React with Angular, Vue. js and Svelte, identifies their main characteristics, advantages, disadvantages; demonstrates the dependence of the choice of tools on the project context (React in combination with Redux can provide an optimal balance between performance, flexibility and scalability); describes the author’s web application – the FarmerProducts online store; identifies further ways to improve this web application.

Web application frameworks are a proven means to accelerate the development of interactive web applications. However, implementing collaborative real-time applications like Google Docs requires specific concurrency control services (i.e. document synchronization and conflict resolution) that are not included in prevalent general-purpose frameworks like jQuery or Knockout. Hence, developers have to get familiar with specific collaboration frameworks (e.g. ShareJS) which substantially increases the development effort. To ease the development of collaborative web applications, we propose a set of source code annotations representing a lightweight mechanism to introduce concurrency control services into mature web frameworks. Those annotations are interpreted at runtime by a dedicated collaboration engine to sync documents and resolve conflicts. We enhanced the general-purpose framework Knockout with a collaboration engine and conducted a developer study comparing our approach to a traditional concurrency control library. The evaluation results show that the effort to incorporate collaboration capabilities into a web application can be reduced by up to 40 percent using the annotation-based solution.

The development of multimedia and technology has introduced various methodologies for business advertising where the target audience for an advertisement can be converted into potential customers for the business. With the rapid growth of smartphone users and internet users in Sri Lanka, an opportunity is there to create a link between them and businesses making advertising more effective. This research is carried out to develop a framework where mobile and web application developers can develop their applications on top of the framework enabling location based advertisement streaming in their applications. Businesses can publish advertisements tagged to specific geo locations and the smartphone and internet users in the nearby area of the tagged locations can view the advertisements in their smartphone applications or in the websites they visit. The primary goal of this project is to encourage the mobile and web application developers in Sri Lanka by providing a framework to monetize their applications. The secondary goal of the project is helping smartphone users and internet users to find business promotions in nearby area and guide them to reach the business locations associated with the advertisements, by providing directions.

Recently proposed methods for weakly-supervised semantic segmentation have achieved impressive performance in predicting pixel classes despite being trained with only image labels which lack positional information. Because image annotations are cheaper and quicker to generate, weak supervision is more practical than full supervision for training segmentation algorithms. These methods have been predominantly developed to solve the background separation and partial segmentation problems presented by natural scene images and it is unclear whether they can be simply transferred to other domains with different characteristics, such as histopathology and satellite images, and still perform well. This paper evaluates state-of-the-art weakly-supervised semantic segmentation methods on natural scene, histopathology, and satellite image datasets and analyzes how to determine which method is most suitable for a given dataset. Our experiments indicate that histopathology and satellite images present a different set of problems for weakly-supervised semantic segmentation than natural scene images, such as ambiguous boundaries and class co-occurrence. Methods perform well for datasets they were developed on, but tend to perform poorly on other datasets. We present some practical techniques for these methods on unseen datasets and argue that more work is needed for a generalizable approach to weakly-supervised semantic segmentation. Our full code implementation is available on GitHub: https://github.com/lyndonchan/wsss-analysis.

Webly-supervised fine-grained visual classification (FGVC) has attracted increasing attention in recent years because of the unaffordable cost of obtaining correctly-labeled large-scale fine-grained datasets. However, due to the existence of label noise in web images and the high memorization capacity of deep neural networks, training deep fine-grained (FG) models directly through web images tends to have an inferior recognition ability. In the literature, to alleviate this issue, loss correction methods try to estimate the noise transition matrix, but the inevitable false correction would cause accumulated errors. Sample selection methods identify clean (‘`easy’') samples based on the fact that small losses can alleviate the accumulated errors. However, ‘`hard’' and mislabeled examples that can both boost the robustness of FG models are also dropped. To this end, we propose a certainty-based reusable sample selection and correction approach, termed as CRSSC, for coping with label noise in training deep FG models with web images. Our key idea is to additionally identify and correct reusable samples, and then leverage them together with clean examples to update the network. Furthermore, in order to endow our model with the capability to capture richer and more discriminative feature representations, we propose a cross-layer attention-based feature refinement (CLAR) block. We demonstrate the superiority of the proposed approach from both theoretical and experimental perspectives. The source code, models, and data have been made available at https://github.com/NUST-Machine-Intelligence-Laboratory/CLAR-CRSSC.

Parametric Web application cost estimation is referred to the usage of mathematical model to derive the estimated effort and duration of Web application development. Typically, majority of Web application developers are applying expert judgment and estimation by analogy in Web application development. This paper is focusing on feasibility study of WEBMO (Web model), a parametric Web application cost estimation model, in Web application development within Klang Valley in Malaysia. WEBCOMO, a parametric Web application tool is developed based on WEBMOpsilas methodology to fulfill the objective of the study.

In recent months the priority area of modern medicine has become on-line informatization and computerization. The most promising development has been the use of information and computer support in an integrated diagnostic system for patients with cleft lip and palate. In our research we aim to developed an autonomous web application that allows practitioners to determine the tactics of multidisciplinary diagnosis and treatment based on data integrated into a specific web application in order to increase the efficiency of the treatment of children with cleft lip and palate of different age groups. Based on more than 45 years of clinical and scientific experience in diagnosis and treatment of patients with cleft lip and palate we developed a web application “ADI” (Application of Digital Imaging). The developed web application “ADI” is a system for processing, accumulating and analyzing information on the rehabilitation of patients with cleft lip and palate by type of pathology and age, allowing doctors to obtain structured information about the stages of the necessary methods of interdisciplinary cleft lip and palate diagnosis and treatment. One of the main advantages of “ADI” web application is the ability to quickly exchange information between specialists in various fields of knowledge. Such complex information is the basis for combining scientific ideas, analysis and exchange of experience of various specialists, thereby making it possible to create a unified system of interdisciplinary rehabilitation of children with congenital pathology of the maxillofacial region #COMESYSO1120.

Natural breeding scenes have the characteristics of a large number of cows, complex lighting, and a complex background environment, which presents great difficulties for the detection of dairy cow estrus behavior. However, the existing research on cow estrus behavior detection works well in ideal environments with a small number of cows and has a low inference speed and accuracy in natural scenes. To improve the inference speed and accuracy of cow estrus behavior in natural scenes, this paper proposes a cow estrus behavior detection method based on the improved YOLOv5. By improving the YOLOv5 model, it has stronger detection ability for complex environments and multi-scale objects. First, the atrous spatial pyramid pooling (ASPP) module is employed to optimize the YOLOv5l network at multiple scales, which improves the model’s receptive field and ability to perceive global contextual multiscale information. Second, a cow estrus behavior detection model is constructed by combining the channel-attention mechanism and a deep-asymmetric-bottleneck module. Last, K-means clustering is performed to obtain new anchors and complete intersection over union (CIoU) is used to introduce the relative ratio between the predicted box of the cow mounting and the true box of the cow mounting to the regression box prediction function to improve the scale invariance of the model. Multiple cameras were installed in a natural breeding scene containing 200 cows to capture videos of cows mounting. A total of 2668 images were obtained from 115 videos of cow mounting events from the training set, and 675 images were obtained from 29 videos of cow mounting events from the test set. The training set is augmented by the mosaic method to increase the diversity of the dataset. The experimental results show that the average accuracy of the improved model was 94.3%, that the precision was 97.0%, and that the recall was 89.5%, which were higher than those of mainstream models such as YOLOv5, YOLOv3, and Faster R-CNN. The results of the ablation experiments show that ASPP, new anchors, C3SAB, and C3DAB designed in this study can improve the accuracy of the model by 5.9%. Furthermore, when the ASPP dilated convolution was set to (1,5,9,13) and the loss function was set to CIoU, the model had the highest accuracy. The class activation map function was utilized to visualize the model’s feature extraction results and to explain the model’s region of interest for cow images in natural scenes, which demonstrates the effectiveness of the model. Therefore, the model proposed in this study can improve the accuracy of the model for detecting cow estrus events. Additionally, the model’s inference speed was 71 frames per second (fps), which meets the requirements of fast and accurate detection of cow estrus events in natural scenes and all-weather conditions.

Web applications are evolving towards strong content-centred information systems accessible through the web. The development processes and implementation of these applications are unlike the development and implementation of traditional information systems. In this paper, we propose a Web Engineering Method (WEM): a method for developing Content Management System (CMS)-based web applications. Critical to a successful development of CMS-based web applications is adaptation to the dynamic business. We first define CMS-based web applications and identify their specific characteristics. Combining these characteristics with situational factors in projects, we show that by taking parts of proven methods, such as UML-based Web Engineering (UWE) and the Unified Process (UP), a unique method can be assembled for situational development of CMS-based web applications. We successfully validated the method at GX, a web-technology company specialised in developing and implementing CMS-based web applications.

The article discusses technologies for developing the web application designed to accompany the process of conducting an intellectual game in the format of an interactive quiz. An analysis of similar applications was carried out, which showed that none of them satisfies all the criteria essential in this situation. Requirements for the web application have been determined: the ability to create a library of quizzes, various types of questions, edit ready-made quizzes, participants enter answers through their devices online, award points for the correctness and speed of answers, display questions on the presenter's screen and on team devices, view intermediate and final results in the form of a list, returning participants to the game if necessary, saving the points received. The process of developing an optimized user interface using HTML, CSS, JavaScript, which allows users to interact with the web application, is described, the structure of the web application, the main forms of the administrator and game participants are presented. The server side of the application was developed using Node.JS technologies, including the Socket.io library, and the MongoDB database, the resulting collection of non-relational database is shown. To implement the functionality of the application pages, JavaScript was used; examples of codes are presented that implement the mechanism for connecting the presenter to the game, retrieving information from the database, recording the team's response, and awarding points for the correctness and speed of the response. The web application allows you to reduce the time spent by event organizers and participants and makes it possible to improve the organization of work in general. The presented web application for accompanying intellectual games was successfully approbated during events at the Nizhny Tagil State Social-Pedagogical Institute (branch) of the Russian State Vocational Pedagogical University. The materials of the article can serve as practical recommendations for the development of such web applications to accompany intellectual games held in the format of interactive quizzes.

The purpose of the article is to research, analyze and consider the general problems that TypeScript technology for strict typing solves when developing web applications. The research methodology consists of semantic analysis methods of the basic concepts of a given subject area (development of web applications using JavaScript and TypeScript). The article discusses the analysis results of the TypeScript technology’s use in comparison with JavaScript. The novelty of the research is the analysis of modern TypeScript technology and its solution to the problems of strict typing in the development of web applications. The conclusion of the research of the TypeScript technology carried out in the article is to determine its essence, the purpose of creation, advantages and disadvantages, and determine the situations of the appropriateness of its use.

There have been a considerable amount of interests in providing the state-of-theart product design and manufacture techniques and methods accessible on the Internet from web browsers. This chapter concerns with the process of building web applications for product design and manufacture. The focus is on how such systems are being developed and implemented. However, there have been considerable difficulties in the design, development, and implementation of web applications in product design and manufacture. The complexity can be understood in several ways. For example, there is no rigorous and systematic approach to the development of web applications at present. Current web application development and management practices are mostly ad hoc, heavily dependent on the knowledge and experience of individual developers.