This paper presents the design and development of a low-cost and user-friendly Bengali braille embosser for the visually impaired population in Bangladesh. To produce braille text, the embosser employs a shifting mech...
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We employed the most recent version of our open source software 'Tools for Analyzing Time Series of Satellite Imagery (TATSSI)' to analyze a Sentinel-2 monthly NDVI time series from 2016 to 2022 recorded at Ba...
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ISBN:
(纸本)9798350393156
We employed the most recent version of our open source software 'Tools for Analyzing Time Series of Satellite Imagery (TATSSI)' to analyze a Sentinel-2 monthly NDVI time series from 2016 to 2022 recorded at Bahia Magdalena (BM), Baja California Sur, Mexico. Our analyses on the NDVI's dynamics allowed us to discuss the apparent gain and loss of mangrove's vegetation in some polygons of interest. As to for the whole BM's mangrove vegetation, we found significant increasing and decreasing linear trends in 31 and 8% of the area, respectively. In addition to these gradual changes in the NDVI, we determined the spatiotemporal distribution of their abrupt changes;our approach determined 2017 as the year with the most area affected by an abrupt change. In passing, we also discussed the new features of TATSSI as well as its performance across several computational systems.
Advanced technology such as microrobots and nanorobots have the potential to completely transform the healthcare industry. These tiny robotic devices provide fine control for a range of biological applications since t...
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The need for software improvement is growing widely due to the demand for technology development. The issues that arise by expanding the software processes in the workplace are expense, lack of understanding, time con...
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This paper discusses a research agenda at the intersection of Machine Learning, softwareengineering, and Human-computer Interaction aimed at creating intelligent tools that enable developers to build more accessible ...
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ISBN:
(纸本)9798350327830
This paper discusses a research agenda at the intersection of Machine Learning, softwareengineering, and Human-computer Interaction aimed at creating intelligent tools that enable developers to build more accessible software. First, we discuss the creation of MOTOREASE, a novel approach that utilizes computer vision and text processing techniques to identify accessibility issues in mobile app UIs for motor-impaired users. The tool detects four motor-impaired user-focused UI design guidelines: touch target size, expanding sections, persisting elements, and adjacent icon distance, with an average accuracy of around 90%. This represents a significant step towards improving software accessibility for all users. Finally, we discuss our future work for better-supporting developers with tools to engineer accessible software.
Refactoring is a widely adopted practice that keeps code healthy and provides well known benefits like improving developer productivity. Developers routinely make decisions about how to refactor code (which specific r...
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ISBN:
(纸本)9798350395693;9798350395686
Refactoring is a widely adopted practice that keeps code healthy and provides well known benefits like improving developer productivity. Developers routinely make decisions about how to refactor code (which specific refactoring changes to make), but the criteria that guide these decisions is not well studied. We conducted a multi-method study to understand the diversity of criteria that developers use in deciding what refactoring changes to make, the relative importance of different criteria, and the extent to which refactoring recommendation tools incorporate these criteria in their recommendation approaches. Our findings demonstrate that developers in industry situationally employ more than a dozen criteria when making refactoring decisions. However, no recommendation tool supports even half of those criteria and most criteria are supported by only a few tools. While research in refactoring recommendations tools is ripe, lack of support for criteria developers care about leaves industry without the kind of recommendation tools that they need. In this paper, we summarize findings from industry interviews, an industry survey, and an analysis of refactoring recommendation tools. We highlight gaps in refactoring recommendation tools that researchers and tool vendors should consider focusing on for successful practical application of refactoring recommendation tools at scale.
Dynamic video summary, sometimes called video skimming, creates video which is temporally in nature and relatively shorter too. in order to do the Skimming, it is important that one has been able in locating important...
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This paper proposes a PSO-RF based momentum strategy prediction model. Firstly, the model quantifies the performance of players, determines the key factors affecting the players' scores through principal component...
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The Internet of Vehicles(IoV)is a networking paradigm related to the intercommunication of vehicles using a *** a dynamic network,one of the key challenges in IoV is traffic management under increasing vehicles to avo...
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The Internet of Vehicles(IoV)is a networking paradigm related to the intercommunication of vehicles using a *** a dynamic network,one of the key challenges in IoV is traffic management under increasing vehicles to avoid ***,optimal path selection to route traffic between the origin and destination is *** research proposed a realistic strategy to reduce traffic management service response time by enabling real-time content distribution in IoV systems using heterogeneous network ***,this work proposed a novel use of the Ant Colony Optimization(ACO)algorithm and formulated the path planning optimization problem as an Integer Linear Program(ILP).This integrates the future estimation metric to predict the future arrivals of the vehicles,searching the optimal *** the mobile nature of IOV,fuzzy logic is used for congestion level estimation along with the ACO to determine the optimal *** model results indicate that the suggested scheme outperforms the existing state-of-the-art methods by identifying the shortest and most cost-effective ***,this work strongly supports its use in applications having stringent Quality of Service(QoS)requirements for the vehicles.
In the realm of software development, code smells pose considerable challenges during system maintenance and evolution. Although several tools identify code smells, few provide real-time detection and refactoring guid...
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ISBN:
(数字)9783031641824
ISBN:
(纸本)9783031641817;9783031641824
In the realm of software development, code smells pose considerable challenges during system maintenance and evolution. Although several tools identify code smells, few provide real-time detection and refactoring guidance, which are integral for efficient coding practices. This paper presents an advanced tool for live detection and semi-automatic resolution of data clumps and global data, distinct types of code smell in Java. Our tool's prowess lies in its analysis of project structures, abstract syntax trees, and variable types to identify and address data clumps promptly. We successfully integrated our live detection technique into an IntelliJ plugin, achieving remarkable real-time detection with a median time of less than 1 s in 4 project case studies. Our method was extended to live detect Global Data. We are defining 9 base test cases for data clumps. The study contributes to the ongoing discourse on effective and efficient methods to remove code smells, enhancing software quality and developer productivity.
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