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检索条件"任意字段=11th International Conference on Computer-Aided Design and Computer Graphics"

共 8468 条记录，以下是451-460 订阅

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A Case Study-Applying a design thinking Process and User Experience Goals in Developing Solutions for a Smart Construction Site 11th

A Case Study-Applying a Design Thinking Process and User Exp...

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11th international conference on design, User Experience, and Usability (DUXU) Held as Part of the 24th international conference on Human-computer Interaction (HCII)

作者： Aromaa, Susanna Lappalainen, Inka Kaasinen, Eija Ofversten, Janne VTT Tech Res Ctr Finland Ltd POB 1000 Espoo 02044 Finland KONE Oyj Keilasatama 3POB 7 Espoo 02150 Finland

ISBN: (纸本)9783031059063;9783031059056

Digitalization is increasing in the construction industry. However, there are still challenges that may delay its progress, such as the heterogeneity in construction sites, complexity in its environment and the uniqueness of each construction project. To smoothen this progress, it is important to apply human-centric approaches when designing digitalization. the goal of this study was to understand how user experience (UX) goals could be utilized during the design thinking (DT) process when developing digital solutions to be used in a construction site. A case study approach was applied in studying this phenomenon. Based on the case study, it was seen that DT supports co-innovation in complex development projects. However, DT is not always one iterative process but can be more complex and include many parallel DT processes. the integration of UX goals to the DT process could provide a more systematic view to the development process and help to avoid a disconnection of parallel DT processes. the findings of this study can be used as guidance when applying UX goals during the DT process in complex project contexts.

关键词： User experience goals design thinking Construction

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the Dialectic Between System Space and design Space A Systems thinking Approach to Addressing Complexity in the design Process 11th

The Dialectic Between System Space and Design Space A System...

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11th international conference on design, User Experience, and Usability (DUXU) Held as Part of the 24th international conference on Human-computer Interaction (HCII)

作者： Lindenfalk, Bertil Resmini, Andrea Jonkoping Univ Jonkoping Acad Improvement Hlth & Welf Sch Hlth & Welf Jonkoping Sweden Halmstad Univ Sch Informat Technol Dept Intelligent Syst & Digital Design Halmstad Sweden

ISBN: (纸本)9783031059063;9783031059056

System space is introduced as a conceptual design space and as a distinct space from that traditionally addressed by most design processes. the paper intends to address the increasing complexity deriving from the ongoing blend of physical and digital in a postdigital culture and contribute to the current understanding of the effect of "systemic" ways of thinking in design disciplines. We argue that a systemic perspective cannot simply be "added" to the design process and that addressing postdigital complexity, that is, producing solutions to contemporary design problems, requires instead its own conceptualization, in its own space, to be acknowledged, practiced, and formalized as a different way of thinking. We propose that system space lives in a dialectical relationship with design spacewithin the space of the experience and that it provides away to escape the cognitive traps in design space. We posit that the relationships between system space and design space can be apprehended by means of an exo-process adapted from systems thinking, and that the exo-process provides a supporting structure for the intentional and necessary movement between the different spaces, scales, and modes of thinking required by contemporary design work. We then illustrate such a dialectical relationship through the analysis of three different cases and draw final considerations.

关键词： System space design space Systems thinking Complexity Dialectics

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A Machine Learning Approach to Forecast the Food Prices for Food Security Issues 11

A Machine Learning Approach to Forecast the Food Prices for ...

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11th international conference on Intelligent Systems and Embedded design, ISED 2023

作者： Kumar, Arvind Singh, Sunil Kumar Kumari, Priya Mahatma Gandhi Central University Dept. of Computer Science and Information Bihar Motihari India

ISBN: (纸本)9798350318159

Food security is one of the major challenges that must be addressed to provide sufficient and nutritious food to everyone. In this work, we have used Ethiopia's monthly food price data from 2000 to 2023. the work aims to effectively predict food prices by applying machine learning models. We have applied the SVM, KNN, LR, DT, and RM models, in which it is found that RF is one of the best models with the highest accuracy 98.98%. Further, to consolidate it, we have applied the Friedman test to measure the model's ranking, and we have observed that RF is the highest ranked among all the applied models. the findings of the work conclude the same. © 2023 IEEE.

关键词： Food supply

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Lung Disease Classification using X-Ray Imaging with Ensemble Learning 11

Lung Disease Classification using X-Ray Imaging with Ensembl...

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11th international conference on Intelligent Systems and Embedded design, ISED 2023

作者： Vij, Kriti thakur, Saloni Sharma, Aman Mohana, Rajni Jaypee University of Information Technology Computer Science and Engineering Department Solan India Amity University Department of Computer Engineering Punjab India

ISBN: (纸本)9798350318159

Lung diseases are regarded as serious health issues in both middle-aged adults and youngsters. they cover a variety of ailments, including asthma, COPD, and other respiratory diseases. For effective treatment and positive patient outcomes, lung illnesses must be detected early and accurately. However, due to the intricacy of the circumstances, physical inspection of X-ray images of chest for lung illness diagnosis can be mistake-prone. Automated classification methods can be proposed using Machine Learning and Deep Learning. We can utilise the advantages of various independent models to increase accuracy and dependability by using ensemble learning. In this study, we utilised the benefits of two popular deep learning models, ResNet and VGG16 to classify x-ray images. the proposed ensemble model helps to multi classify the lung x-ray images and it outperforms the existing available ensemble model with an accuracy of 97.62%. © 2023 IEEE.

关键词： Deep learning

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Real Estate Price Predictor - A Literature Review 11

Real Estate Price Predictor - A Literature Review

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11th international conference on Intelligent Systems and Embedded design, ISED 2023

作者： Verma, Abhinav Deepu, Satyam Kumar Bajaj, Parveen Chandigarh University Department of Computer Science and Engineering Sahibzada Ajit Singh Nagar Punjab 140413 India

ISBN: (纸本)9798350318159

the expectation of property prices stands as a vital pursuit within the real estate geography, impacting opinions of buyers, investors, and assiduity professionals likewise. this review paper navigates the multifaceted realm of property price prediction by illuminating its significance and checking the different methodologies and statistical ways employed. the conflation of this converse extends a palpable frame for casing inventors and experimenters, enabling them to navigate the maze of attributes bolstering house prices and offering perceptive recommendations for apt machine learning models. As a capstone, this review underscores the indispensability of nuanced position understanding and advanced prediction methodologies, therefore fortifying the precision of property price predictions within the ever-evolving real estate terrain. © 2023 IEEE.

关键词： Housing

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An Efficient Privacy Preservation Scheme with Blockchain-Based Reputation Management for IoV-Based Mobile Crowdsensing 11

An Efficient Privacy Preservation Scheme with Blockchain-Bas...

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11th IEEE international conference on Behavioural and Social Computing, BESC 2024

作者： Yang, Genyuan Li, Wenjuan Wang, Ben Pan, Chengjie Cao, Jian School of Information Science and Technology Hangzhou Normal University Hangzhou China Shanghai Jiao Tong University Department of Computer Science and Engineering Shanghai China

ISBN: (纸本)9798331531904

Mobile crowdsensing (MCS) based on the Internet of Vehicles (IoV) has emerged as a viable solution for data collection. MCS utilizes a large number of mobile users to perform sensing tasks, thus reducing sensor deployment costs and improving data quality. However, IoV-based MCS faces two main challenges: privacy concerns and the presence of malicious vehicles. To address these challenges, this paper proposes an efficient privacy preservation scheme with blockchain-based reputation management (PPBRM) for Iov-based MCS. Specifically, we design an efficient sensing task allocation scheme that not only preserves location privacy, identity privacy, and sensing data privacy but also reduces computational and communication overhead. To identify malicious vehicles, ensure the security and reliability of sensing vehicle reputation values, and achieve efficient updates, we introduce a blockchain-based reputation management scheme suitable for IoV-based MCS, which fully considers the quality of sensing data, thereby ensuring the accuracy and fairness of reputation evaluation. Additionally, we introduce the concept of blockchain sharding and propose a multi-level graph partitioning-based blockchain sharding (MGPBS) method suitable for Iov-based MCS. MGPBS enhances the efficiency of blockchain reputation management by balancing the workload of each shard. the final simulation experiment results demonstrate the effectiveness and efficiency of the PPBRM scheme and MGPBS method. © 2024 IEEE.

关键词： Differential privacy

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Genetic Algorithm Modeling of Plants' Growth Based on Photosynthesis-Action Spectrum 11

Genetic Algorithm Modeling of Plants' Growth Based on Photos...

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Joint conference on 11th international conference on Energy Efficiency in Domestic Appliances and Lighting and 17th international Symposium on the Science and Technology of Lighting, EEDAL/LS:17 2022

作者： Osses, Claudio L. Hunt, Charles E. University of California Electrical and Computer Engineering Davis United States

A Genetics Algorithm model is created and implemented to obtain the parameters to design a specific Spectral Power Distribution by combining multiple monochromatic light sources. this model accurately optimizes the SP... 详细信息

ISBN: (纸本)9782492754005

关键词： Genetic algorithms

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How Well Does the Algorithm Know Me? A Structured Application of the Levels of Adaptive Sensitive Responses (LASR) on Technical Products 11th

How Well Does the Algorithm Know Me? A Structured Applicatio...

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11th international conference on design, User Experience, and Usability (DUXU) Held as Part of the 24th international conference on Human-computer Interaction (HCII)

作者： Graefe, Julia Engelhardt, Doreen Rittger, Lena Bengler, Klaus Tech Univ Munich Boltzmannstr 15 D-85747 Garching Germany Audi AG Auto Union Str 1 D-85057 Ingolstadt Germany

ISBN: (纸本)9783031059063;9783031059056

the use of artificial intelligence (AI) in everyday products increases and thereby also the interest on human-AI interaction. Research on user-adaptive systems still lacks uniform terminology and common definitions. To fill this gap, a taxonomy of user-adaptive systems, the Levels of Adaptive Sensitive Responses (LASR), has been proposed in previous research. the LASR levels are a first step towards a uniform classification of user-adaptive systems, but still need to be validated in terms of comprehensiveness and accuracy. this paper presents an evaluation of the LASR taxonomy through its application on technical products, to examinewhether the taxonomy is complete and applicable in ameaningfulway. We used a four steps analysis approach, covering the definition of classification criteria, two research iterations on suitable user-adaptive product features, and the analysis to which degree these features fulfill the classification criteria. As a result, our analysis shows that nine out of eleven analyzed product features can clearly be categorized into one of the five levels of LASR. Two features showed characteristics of two different levels which reveals that the levels are not mutually exclusive but can be combined within one product feature.

关键词： Human-computer interaction User-adaptive Classification

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design Pattern Recommendation Using Doc2vec 11

Design Pattern Recommendation Using Doc2vec

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11th IEEE international conference on Intelligent Computing and Information Systems, ICICIS 2023

作者： Shorim, Nada El-Ramly, Mohammad Mobarz, Hanaa Cairo University Faculty of Computer Science Misr International University Faculty of Computers and Artificial Intelligence Egypt Cairo University Faculty of Computers and Artificial Intelligence Cairo Egypt

ISBN: (纸本)9798350322101

design patterns are widely recognized as valuable tools in software engineering for improving software quality and reducing development time. Selecting a suitable design pattern is crucial for creating high-quality software systems. the wrong design pattern can lead to difficult-to-maintain code. the appropriate design pattern can improve the overall quality of the software, making it easier to maintain, modify, and extend over time. However, selecting the appropriate design pattern for a specific design problem from textual descriptions is challenging and requires a deep understanding of their functionality and characteristics. In order to address this challenge, a recommendation system is developed that utilizes text classification through the application of doc2vec. this approach has not been previously explored in research and has the potential to be highly effective. this approach involves: first, preprocessing techniques such as stop word removal, tokenization, and stemming are applied to design pattern category descriptions, design patterns' descriptions, and problem scenarios. Second, doc2vec is applied for word embeddings to create the model. the study evaluates two approaches for selecting design patterns. the first approach focuses solely on making a recommendation based on the descriptions of the design patterns themselves and achieves an accuracy of 54.3%, making accurate recommendations for 25 out of 46 problems. the second approach considers the category of the design patterns before making a selection, resulting in an enhanced accuracy of 65.21% and correctly recommending a design pattern for 30 out of 46 problems. the second approach outperforms the first by leveraging the design pattern category, significantly narrowing the search space and improving recommendation accuracy. these initial results are promising and pave the way for further improvement by enhancing the technique or combining doc2vec with other techniques. © 2023 IEEE.

关键词： Classification (of information)

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BIG GAME: Balancing Player Preferences and design Considerations in a Serious Game About Environmental Issues 11th

BIG GAME: Balancing Player Preferences and Design Considerat...

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11th international conference on Games and Learning Alliance (GaLA)

作者： Fiadotau, Mikhail Tramonti, Michela Brander, Heli Callaghan, Peadar Tallinn Univ Narva Mnt 29 EE-10120 Tallinn Estonia EU Track Viale Europa 95 I-04019 Terracina Italy Univ Turku Joukahaisenkatu 3 Turku 20520 Finland

ISBN: (纸本)9783031221231;9783031221248

the article reflects on the benefits, challenges, and limitations of accommodating player preferences in serious game design. Based on a case study from an ongoing game development project (an environmentally themed multiplayer game for middle-schoolers), it discusses how player preferences need to be balanced against design considerations such as practicality and educational value.

关键词： Player preferences Case study Serious games

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