Atmospheric turbulence causes refractive index fluctuations, and atmospheric molecules absorb and scatter light wave energy, causing the power density of the laser to reach the target to decrease, restricting the appl...
详细信息
Speeding is an important risk factor for road traffic accidents, so the judgment of vehicle speed is particularly important in the scene investigation of traffic accidents. computer technology is used to simulate susp...
详细信息
AI-Powered Edge Computing is accelerating the integration of the cyber world with the ever-growing list of new physical IoT devices and will fundamentally change and empower the way humans interact with the world. In ...
详细信息
ISBN:
(纸本)9798350376975;9798350376968
AI-Powered Edge Computing is accelerating the integration of the cyber world with the ever-growing list of new physical IoT devices and will fundamentally change and empower the way humans interact with the world. In this paper, we prototyped and analyzed three edge computing architectures for running SmartFall, a real-time fall detection application that uses accelerometer data from the watch, to compare the trade-off in relationship to battery consumption, potential data loss, machine learning model's prediction accuracy, and latency in model inferencing. Our experiments show that running the machine learning prediction on the server using the TensorFlow native model format has achieved the best model accuracy without draining the battery power of the smartwatches. However, the optimal selection of the software architecture depends on the intended deployment environment, projected user numbers, users' privacy concerns, and network stability.
A new parallel file system and multi-core processor-based dynamic multimedia encryption method is presented in this study. Multimedia encryption efficiency and security were the main goals, addressing massive data set...
详细信息
In the field of software development, ensuring the accuracy and quality of code remains a paramount concern. The task of precisely classifying code as correct or incorrect poses inherent challenges. This research intr...
详细信息
Personas are a powerful tool for use during Requirements engineering (RE). We curated 98 persons used for various RE tasks in various domains from 41 academic publications. Using these personas, we formulated a propos...
详细信息
ISBN:
(数字)9783031641824
ISBN:
(纸本)9783031641817;9783031641824
Personas are a powerful tool for use during Requirements engineering (RE). We curated 98 persons used for various RE tasks in various domains from 41 academic publications. Using these personas, we formulated a proposed RE persona taxonomy consisting of several dimensions. To evaluate whether our proposed RE persona taxonomy could aid requirements engineers, we interviewed 20 practitioners to get their feedback on our approach. They reported several perceived benefits of our proposed RE taxonomy, including providing recommendations for relevant human factors in personas, serving as persona templates, and guiding junior requirements engineers. We also identified areas that could be improved: the need to differentiate between internal and external aspects and understand the relationships between them better, providing the taxonomy with clear instructions, and the potential to develop a tool that aids persona generation in RE practice.
In the preparation of future computer engineers, the issues of improving the methodology of teaching specialized subjects on the basis of innovative technologies are widely discussed in the article. The main focus of ...
详细信息
More complex, diverse and innovative is the new norm in software products. To handle that, teams need to be heterogeneous and capable of performing teamwork - challenging those in higher education to understand factor...
详细信息
ISBN:
(纸本)9798350361513;9798350372304
More complex, diverse and innovative is the new norm in software products. To handle that, teams need to be heterogeneous and capable of performing teamwork - challenging those in higher education to understand factors that motivate or demotivate team members. This article explores willingness and motivation of students to perform teamwork in a dynamic context scenario. After analyzing the team behavior in 60 real-world software projects, conducted in a softwareengineering course, we identified the factors that influence teamwork in such a dynamic context. These factors were used to create a model that can be reused by other instructors.
The growing call for online technology software has additionally elevated the call for great and occasional-cost merchandise. Predicting software vulnerabilities is one of the most essential obligations of a very good...
详细信息
ISBN:
(纸本)9798350369861
The growing call for online technology software has additionally elevated the call for great and occasional-cost merchandise. Predicting software vulnerabilities is one of the most essential obligations of a very good security gadget. Growth nice at low cost by decreasing ordinary testing and preservation efforts. Early detection of defects in the software program improvement existence Cycle (SDLC) leads to early improvement and transport in the closing period of software program control, which leads to consumer delight and gives self assurance to the development group. in the beyond decade, many machine learning-primarily based blunders prediction software program were proposed to attain excessive accuracy. synthetic Neural Networks (ANN) are considered one of the system gaining knowledge of techniques and encompass maximum of the prediction schemes and models. ∗ This examine provides a vital analysis of the modern facts published due to the fact that 20152018. On the usage of neural networks for software program prediction. This take a look at is based totally on the studies system information from 3 widely used digital libraries (which include IEEE, Elsevier and Springer) and then conducted the subsequent take a look at. 8 most crucial articles were selected in the course of the entire method. studies courses are examined meticulously. ∗ This paintings will help researchers look into the modern-day country of software disorder prediction through focusing on neural networks and provide benchmarks for destiny trends. This white paper uses device getting to know and deep learning to find out the quality device gaining knowledge of algorithms for software defect prediction (SEP). This have a look at uses the NASA Metric statistics program (MDP) dataset to evaluate and predict the overall performance and accuracy of deep getting to know and machine getting to know fashions. the 2 mastering algorithms used are help vector machine (SVM) and logistic regression. Two deep
This paper introduces an Arabic News Recommendation System (ANRS) designed to enhance personalized news recommendations for Arabic-speaking users. By leveraging a multi-head self-Attention mechanism, the proposed mode...
详细信息
暂无评论