检索结果-内蒙古大学图书馆

7th International Conference on Information and Communication Technology for Competitive Strategies , ICTCS 2022

作者： Valarmathi, B. Gupta, N. Srinivasa Chellatamilan, T. Santhi, K. Reddy, R. Hemadri Department of Software and Systems Engineering School of Information Technology and Engineering Vellore Institute of Technology Tamil Nadu Vellore India Department of Manufacturing School of Mechanical Engineering Vellore Institute of Technology Tamil Nadu Vellore India Department of Analytics School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore India Department of Mathematics School of Advanced Sciences Vellore Institute of Technology Tamil Nadu Vellore India

ISBN: (纸本)9789811996375

Mobility is the biggest issue for blind individuals. In order to move around, they must rely on others. Therefore, we are creating a navigational aid for blind people, to help the blind people in the world from various difficulties they face in day-to-day life. The World Health Organization (WHO) reported that a survey was conducted in 2014 and that there are an estimated 285 million visually impaired persons worldwide, of which 37 million are blind, with over 15 million of them being Indian. The majority of blind persons depend on other people for their activities since INDIA accounts for 21% of the global population of blind people (Khanam et al. in Int J Adv Res Sci Eng 7:195–199, 2018). Smart shoes play an important role. Obstacle detection is performed using ultrasonic sensor which is also done by many people in the previous projects or researches. The new concept that is included in this paper is that it can also detect any flame and potholes around the person using flame sensor and ultrasonic sensor, respectively. And we use shock sensor to detect any shock that occurs. If the smart assistive device or smart shoes senses an object, a pothole, a fire (from about three feet away), or a shock in front of the user, a buzzer will sound. These sensors are integrated using Arduino Uno. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Obstacle detectors

来源：评论

学校读者我要写书评

暂无评论

Experimental Investigations of the Preload-time-behaviour of Lockstud systems Enhanced by Finite Element Analysis 34th

Experimental Investigations of the Preload-time-behaviour of...

引用

34th International Ocean and Polar engineering Conference, ISOPE 2024

作者： Hagemann, Melanie Schwarz, Mathias Schröder, Markus Blunk, Christoph Glienke, Ralf Schwerdt, Daniela Henkel, Knuth-Michael University of Applied Sciences Technology Business and Design Wismar Germany Fraunhofer-Institute for Large Structures in Production Engineering IGP Rostock Germany Howmet Fastening Systems-Industrial Fastener Division Telford United Kingdom University of Rostock Faculty of Mechanical Engineering and Marine Technology Chair of Joining Technology Rostock Germany

ISBN: (纸本)9781880653784

This article presents current results on the initial preload of Lockstud systems of nominal sizes M12 to M20, property class 8.8 and 10.9 in uncoated black, zinc flake coated and hot-dip galvanised conditions during the assembly process. In addition, it provides design recommendations for the preload as given in accordance with Technical Bulletin DVS/EFB 3435-2. Comprehensive numerical investigations of Lockstud systems have shown validated simulations of the assembly process, including the resulting preload (2D model), the stress concentrations with critical failure locations (3D model) and additionally the slip load of a slip-resistant connection (3D model). © 2024 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Finite element method

来源：评论

学校读者我要写书评

暂无评论

Simulation-based Optimization of Flexible Energy systems in Manufacturing with Local Energy Production and Storage Components 56

Simulation-based Optimization of Flexible Energy Systems in ...

引用

56th CIRP International Conference on Manufacturing systems, CIRP CMS 2023

作者： Breitschopf, Johannes Sobottka, Thomas Zabik, Gabriela Ansari, Fazel Fraunhofer Austria Research GmbH Theresianumgasse 7 Wien1040 Austria TU Wien Institute of Management Science Department of Industrial and Systems Engineering Vienna1040 Austria TU Wien Institute for Energy Systems and Thermodynamics Getreidemarkt 9/BA Wien1060 Austria

This paper introduces a simulation-based planning method that metaheuristically optimizes production planning and the control of components of a flexible energy system for energy intensive production. Significantly increasing energy efficiency and energy flexibility are key requirements and success factors, especially for energy-intensive manufacturers, amid rising energy prices, volatility, and the overall need to reduce the energy and pollution footprint. The considerable potential for an optimized integrated planning and control of production and energy system components remains unexhausted, due to the underlying planning complexity, combined with a lack of available planning methods. This paper aims to introduce a novel planning approach that provides an automated integrated planning functionality to improve energy efficiency and flexibility alongside production goals. The method considers fluctuating short-term energy markets as well as local hydrogen-based energy storage components. Both method development and evaluation are based on a case study in energy-intensive steel production. The achieved results show a significant benefit from the developed dynamic planning and optimization for different variables particularly in two different heat-treatment process technologies. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 56th CIRP International Conference on Manufacturing systems 2023.

关键词： flexible energy systems metaheuristics production planning and control simulation-based optimization sustainable production

来源：评论

学校读者我要写书评

暂无评论

Robustness Attributes to Safeguard Machine Learning Models in Production

Robustness Attributes to Safeguard Machine Learning Models i...

引用

2023 IEEE Conference on engineering Informatics, EI 2023

作者： Abdelkader, Hala Abdelrazek, Mohamed Schneider, Jean-Guy Rani, Priya Vasa, Rajesh Applied Artificial Intelligence Institute Deakin University VIC Australia Monash University Department of Software Systems & Cybersecurity VIC Australia Stem - School of Engineering Rmit University VIC Australia

ISBN: (纸本)9798350338522

Machine learning (ML) has revolutionized various industries by enabling the development of complex models that learn from data and make accurate predictions. However, moving from prototyping ML models to production software systems poses robustness challenges due to the lack of standardization around ML tools and processes. To tackle these challenges in deployed ML models, different elements of robustness must be addressed, including transparency, safety, and security along with adopting a unified language and terminologies. This paper aims to highlight the key robustness challenges that ML models encounter when deployed in production environments, and to emphasize the significance of proactively tackling these challenges. We also introduce various patterns for safeguarding ML models that need to be implemented on both the ML models and the software system sides. © 2023 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation Under Degradation

Frequency-Domain Refinement of Vision Transformers for Robus...

引用

2025 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025

作者： Karimijarbigloo, Sanaz Kolahi, Sina Ghorbani Azad, Reza Bagci, Ulas Merhof, Dorit Tarbiat Modares University Department of Industrial and Systems Engineering Tehran Iran Northwestern University Department of Radiology Chicago United States University of Regensburg Faculty of Informatics and Data Science Regensburg Germany Fraunhofer Institute for Digital Medicine Mevis Bremen Germany

ISBN: (纸本)9798331510831

Medical image segmentation is crucial for precise diagnosis, treatment planning, and disease monitoring in clinical settings. While convolutional neural networks (CNNs) have achieved remarkable success, they struggle with modeling long-range dependencies. Vision Transformers (ViTs) address this limitation by leveraging self-attention mechanisms to capture global contextual information. However, ViTs often fall short in local feature description, which is crucial for precise segmentation. To address this issue, we reformulate self-attention in the frequency domain to enhance both local and global feature representation. Our approach, the Enhanced Wave Vision Transformer (EW-ViT), incorporates wavelet decomposition within the self-attention block to adaptively refine feature representation in low and high-frequency components. We also introduce the Prompt-Guided High-Frequency Refiner (PGHFR) module to handle image degradation, which mainly affects high-frequency components. This module uses implicit prompts to encode degradation-specific information and adjust high-frequency representations accordingly. Additionally, we apply a contrastive learning strategy to maintain feature consistency and ensure robustness against noise, leading to state-of-the-art (SOTA) performance in medical image segmentation, especially under various conditions of degradation. Source code is available at GitHub. © 2025 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Common Code Quality Issues of Novice Java Programmers: A Comprehensive Analysis of Student Assignments 15

Common Code Quality Issues of Novice Java Programmers: A Com...

引用

15th International Conference on Computer Supported Education, CSEDU 2023

作者： Kohlbacher, Christina Julia Vierhauser, Michael Groher, Iris Institute of Business Informatics - Software Engineering JKU Business School Johannes Kepler University Linz Austria LIT Secure and Correct Systems Lab Johannes Kepler University Linz Austria

ISBN: (纸本)9789897586415

Starting to learn programming is often perceived as being quite tedious by students at the bachelor level. Many programming courses thus face high drop-out rates and moderate results for those who pass. This problem is exacerbated when teaching programming to students enrolled in non-computer science curricula. To overcome these issues, we have developed a novel didactic concept based on peer learning, tutoring, dedicated teaching, and learning material that supports individuality and competency-based learning. Our current focus lies on teaching basic programming principles, but to further support our students and foster a positive learning experience, we want to learn more about the difficulties they are facing, particularly with respect to best practices, coding conventions, and code quality. We, therefore, performed a static code analysis of homework assignments of students participating in our introductory programming course for two consecutive years. We analyzed over 13,000 Java files and more than 400,000 lines of Java code to identify common code quality issues faced by our students. Our analysis shows that the majority of rule violations are related to coding style. The violations do not differ much with respect to the topics covered in the homework assignments, and hardly change over time. The more lines of code the students write, the more rules are violated. Based on our findings we present concrete recommendations on how to support novice programmers in improving their code quality. Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Defining and executing temporal constraints for evaluating engineering artifact compliance

arXiv

引用

arXiv 2023年

作者： Ratiu, Cosmina-Cristina Mayr-Dorn, Christoph Egyed, Alexander Johannes Kepler University Institute for Software Systems Engineering Linz Austria

engineering processes for safety-critical systems describe the steps and sequence that guide engineers from refining user requirements into executable code, as well as producing the artifacts, traces, and evidence that the resulting system is of high quality. Process compliance focuses on ensuring that the actual engineering work is followed as closely as possible to the described engineering processes. To this end, temporal constraints describe the ideal sequence of steps. Checking these process constraints, however, is still a daunting task that requires a lot of manual work and delivers feedback to engineers only late in the process. In this paper, we present an automated constraint checking approach that can incrementally check temporal constraints across inter-related engineering artifacts upon every artifact change thereby enabling timely feedback to engineers on process deviations. Temporal constraints are expressed in the Object Constraint Language (OCL) extended with operators from Linear Temporal Logic (LTL). We demonstrate the ability of our approach to support a wide range of higher level temporal patterns. We further show that for constraints in an industry-derived use case, the average evaluation time for a single constraint takes around 0.2 milliseconds. © 2023, CC BY-SA.

关键词： Quality assurance

来源：评论

学校读者我要写书评

暂无评论

Triple Diseases Prediction System using Deep Learning Techniques

Triple Diseases Prediction System using Deep Learning Techni...

引用

Emerging Trends in Information Technology and engineering (ic-ETITE), Conference on

作者： R. Vijayan V. Mareeswari A. B. Jaswanth Department of Information Technology School of Computer Science Engineering and Information Systems (SCORE) Vellore Institute of Technology (VIT) Vellore Tamilnadu Department of Software and Systems School of Computer Science Engineering and Information Systems (SCORE) Vellore Institute of Technology (VIT) Vellore Tamilnadu MTech (Software Engineering) School of Computer Science Engineering and Information Systems (SCORE) Vellore Institute of Technology (VIT) Vellore Tamilnadu

With the existing deep learning models in predicting multiple diseases primarily focus on analyzing individual diseases in isolation, lacking a unified system for multi-disease prediction. This project presents an approach to predict multiple diseases using Flask API, with a specific focus on brain tumors, COVID-19 and pneumonia. The proposed work represents a significant contribution to the field of disease prediction, harnessing the power of deep learning algorithms and modern web application development. The primary focus is on disease prediction, with a particular emphasis on ensuring accuracy and accessibility for end-users. The initial phase of this research involves data collection, where relevant datasets of various diseases are gathered. These datasets serve as the foundation for training and validating the deep learning models. Two prominent deep learning algorithms, Sequential CNN and VGG16, are employed for this purpose. These algorithms are chosen for their ability to handle complex data and recognize patterns within medical images and other health-related data. The core of the research involves training the deep learning models using the collected datasets. This step is crucial in enabling the models to learn and generalize from the provided data, ultimately enhancing their predictive capabilities. The models are modified to elevate their performance and accuracy. Following the training phase, the models are rigorously tested to evaluate their predictive accuracy. This assessment is vital in gauging the real-world applicability of the models in medical diagnosis. To make these powerful disease prediction models accessible to a wider audience, a front-end web application is developed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Integrating Data Protection at Interface of RISC-V Processor Core

Integrating Data Protection at Interface of RISC-V Processor...

引用

Panhellenic Conference on Electronics and Telecommunications (PACET)

作者： Ján Mach Lukáš Kohútka Pavel Čičák Institute of Computer Engineering and Applied Informatics Slovak University of Technology Slovakia Institute of Informatics Information Systems and Software Engineering Slovak University of Technology Slovakia

Fulfilling increasing performance demands of space and automotive applications can be problematic as high dependability is required. Memory is one of the most radiationsensitive parts, so it is often protected with information redundancy. This paper describes an integration of error correction and detection techniques into the interface of RISC-V processor to protect the data stored in the memory. We also provide a hardware-software interface for reporting errors and software routines for correcting data in memory. Our solution has a negligible impact (-3.9%) on the overall performance of the core with a small area and power consumption overhead.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Improving AFLGo's Directed Fuzzing by Considering Indirect Function Calls

Improving AFLGo's Directed Fuzzing by Considering Indirect F...

引用

IEEE/ACM International Conference on Automated software engineering - Workshops (ASE Workshops)

作者： Fabian Jezuita Quality Engineering (SQC) Fraunhofer Institute for Open Communication Systems Berlin Germany

Directed fuzzing is a sophisticated security testing technique that aims to find vulnerabilities in specific locations of a software system. It is thus used in cases where targeting a pre-defined section of a system under test (SUT) is required. The directed fuzzer AFLGo utilizes abstract representations, such as call graphs and control-flow graphs, of the SUT to accomplish directedness. These representations however do not consider indirect function calls, more specifically function pointers. This might distort AFLGo's process of guiding the testing towards the desired locations. In the worst case, it might even break the dirpctpilnpss altogether, This paper introduces Marauder's Map, an extension for AFLGo that rectifies this problem. Its implementation is discussed and experiments with various SUTs are conducted to investigate how AFLGo's directed fuzzing benefits from the consideration of indirect function calls. It shows that Marauder's Map is able to expose vulnerabilities up to five times faster than the unaltered version of AFLGo.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：