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arXiv 2025年

作者： Nabaei, Seyed Hamidreza Zheng, Zeyang Chen, Dong Heydarian, Arsalan Department of Systems and Information Engineering Link Lab University of Virginia CharlottesvilleVA22903 United States Department of Computer Engineering Link Lab University of Virginia CharlottesvilleVA22903 United States Agricultural and Biological Engineering Mississippi State University StarkvilleMS39762 United States Department of Civil and Environmental Engineering Link Lab University of Virginia CharlottesvilleVA22903 United States

Indoor gardening within sustainable buildings offers a transformative solution to urban food security and environmental sustainability. By 2030, urban farming, including Controlled Environment Agriculture (CEA) and vertical farming, is expected to grow at a compound annual growth rate (CAGR) of 13.2% from 2024 to 2030 according to market reports. This growth is fueled by advancements in Internet of Things (IoT) technologies, sustainable innovations such as smart growing systems, and the rising interest in green interior design. This paper presents a novel framework that integrates computer vision, machine learning (ML), and environmental sensing for automated monitoring of plant health and growth. Unlike previous approaches, this framework combines RGB imagery, plant phenotyping data, and environmental factors such as temperature and humidity to predict plant water stress in a controlled growth environment. The system utilizes high-resolution cameras to extract phenotypic features, such as RGB, plant area, height, and width while employing the Lag-Llama time series model to analyze and predict water stress. Experimental results demonstrate that integrating RGB, size ratios, and environmental data significantly enhances predictive accuracy, with the Fine-tuned model achieving the lowest errors (msE = 0.420777, MAE = 0.595428) and reduced uncertainty. These findings highlight the potential of multimodal data and intelligent systems to automate plant care, optimize resource consumption, and align indoor gardening with sustainable building management practices, paving the way for resilient, green urban spaces. © 2025, CC BY.

关键词： Green buildings

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Hyperspectral Target Detection Using Diffusion Model and Convolutional Gated Linear Unit

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Li, Zhaokui Mo, Fan Zhao, Xiaobin Liu, Cuiwei Gong, Xuewei Li, Wei Du, Qian Yuan, Bo Shenyang Aerospace University School of Computer Science Shenyang110136 China University of Science and Technology Beijing School of Computer and Communication Engineering Beijing100083 China Institute of Applied Ecology Chinese Academy of Sciences CAS Key Laboratory of Forest Ecology and Silviculture Shenyang110016 China Beijing Institute of Technology School of Information and Electronics Beijing Key Laboratory of Fractional Signals and Systems Beijing100081 China Mississippi State University Department of Electrical and Computer Engineering StarkvilleMS39762 United States

Deep learning can effectively extract latent information from data to enhance target-background separation in hyperspectral target detection (HTD). However, these models typically require extensive labeled samples, while available target spectra in hyperspectral images (HSIs) are scarce. In addition, existing deep models struggle with target detection in complex backgrounds due to subtle spectral differences. To address these issues, we propose a novel HTD method based on diffusion model and convolutional gated linear unit (HTD-DMCG). First, the diffusion model is integrated with MixUp for data augmentation to generate a diverse and sufficiently large sample set. Next, a transformer architecture using a convolutional gated linear unit (GLU) is designed to effectively capture global dependencies and local feature correlations, leading to more discriminative feature representations. In addition, a new target aggregation and background separation loss is introduced, which emphasizes target sample aggregation while increasing the distance between targets and background samples to enhance separability. The HTD-DMCG method is compared against classical and state-of-the-art HTD methods on four real HSI datasets. Extensive experiments show that it can effectively outperform existing methods in target detection performance. © 1980-2012 IEEE.

关键词： Image coding

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Keeping secrets within a family: Rediscovering Parnas

Keeping secrets within a family: Rediscovering Parnas

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Proceedings of the International Conference on Software Engineering Research and Practice, SERP'04

作者： Cunningham, H. Conrad Zhang, Cuihua Liu, Yi Computer Science University of Mississippi University MS 38677 Computer and Information Systems Northwest Vista College San Antonio TX 78251

ISBN: (纸本)1932415300

David Parnas wrote several papers in the 1970's and 1980's that are now considered classics. The concepts he advocated such as information hiding and use of abstract interfaces are generally accepted as the appropriate way to design nontrivial software systems. However, not all of what he proposed has been fully appreciated and assimilated into our practices. Many of his simple, elegant ideas have been lost amongst the hype surrounding the technologies and methods that have arisen in the past two decades. This paper examines Parnas's ideas, especially his emphasis on program families, and proposes that college-level computing science and software engineering curricula should renew their attention to these very important principles and techniques and present them in the context of contemporary software development.

关键词： computer software

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Social engineering: The "dark art" 04

Social engineering: The "dark art"

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1st Annual information Security Curriculum Development Conference, InfoSecCD 2004

作者： Thornburgh, Tim Kennesaw State University Department of Computer Science and Information Systems MS 1101 1000 Chastain Road KennesawGA30144 United States

ISBN: (纸本)1595930485

The key to maintaining the confidentiality, integrity, and availability of an organizations information and information systems is controlling who accesses what information. This is accomplished by being able to identify the requestor, verifying the requestor is not an impostor, and ensuring that the requestor has the proper level of clearance to access a given resource. There have always been those that attempt to by-pass this security mechanism through brute force or guile. In the past, those who use guile have been called confidence men and con artists. Today, these people are called social engineers, but the tactics remain the same even if the objectives have changed. Copyright 2005 ACM.

关键词： Security of data

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Taxonomy of Proactive Detection Methods of Drunk Driving for Enhancing Traffic Safety 17

Taxonomy of Proactive Detection Methods of Drunk Driving for...

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17th IEEE International Symposium on Embedded Multicore/Many-core systems-on-Chip, MCSoC 2024

作者： Swiley, Richard Preston Alsulieman, Razan Sherif, Ahmed Elsersy, Mohamed Khalil, Kasem University of Southern Mississippi School of Computing Sciences and Computer Engineering MS United States Higher Colleges of Technology Computer and Information Systems Dept. AlAin Abu Dhabi United Arab Emirates University of Mississippi Electrical and Computer Engineering Department MS United States

ISBN: (纸本)9798331530471

Drunk driving continues to be a substantial public health issue, leading to a multitude of accidents and deaths on a global scale. Conventional techniques for identifying drunk driving, such as breathalyzers and field sobriety tests, tend to be reactive rather than proactive. This paper surveys the existing methods for detecting drunk driving to enhance traffic safety. The technologies studied can proactively detect impaired driving behaviors by combining machine learning (ML) approaches with real-time data processing. The study outlines various classifications based on measured metrics and driving behavior. © 2024 IEEE.

关键词： Artificial Intelligence Drunk Driving Detection Traffic Safety

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On the role of structural holes in requirements identification: An exploratory study on open-source software development

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ACM Transactions on Management information systems 2015年第3期6卷 1–30页

作者： Bhowmik, Tanmay Niu, Nan Singhania, Prachi Wang, Wentao Department of Mathematics Computer Science and Information Systems Northwest Missouri State University Colden Hall 2305 800 University Drive MaryvilleMO64468 United States Department of Electrical Engineering and Computing Systems University of Cincinnati CincinnatiOH45220 United States Department of Computer Science and Engineering Mississippi State University Mississippi StateMS39762 United States

Requirements identification is a human-centric activity that involves interaction among multiple stakeholders. Traditional requirements engineering (RE) techniques addressing stakeholders' social interaction are mainly part of a centralized process intertwined with a specific phase of software development. However, in open-source software (OSS) development, stakeholders' social interactions are often decentralized, iterative, and dynamic. Little is known about new requirements identification in OSS and the stakeholders' organizational arrangements supporting such an activity. In this article, we investigate the theory of structural hole from the context of contributing new requirements in OSS projects. Structural hole theory suggests that stakeholders positioned in the structural holes in their social network are able to produce new ideas. In this study, we find that structural hole positions emerge in stakeholders' social network and these positions are positively related to contributing a higher number of new requirements. We find that along with structural hole positions, stakeholders' role is also an important part in identifying new requirements. We further observe that structural hole positions evolve over time, thereby identifying requirements to realize enriched features. Our work advances the fundamental understanding of the RE process in a decentralized environment and opens avenues for improved techniques supporting this process. © 2015 ACM 2158-656X/2015/09-ART10 $15.00.

关键词： Open source software

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An adverbial lexicon for natural language processing systems

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International Journal of Lexicography 1994年第3期7卷 197-221页

作者： Conlon, Sumali Pin-Ngern Evens, Martha Division of Management Information Systems Department of Management and Marketing University of Mississippi University MS 38677 United States Department of Computer Science Illinois Institute of Technology Chicago IL 60616 United States

The complexities of adverbs present an interesting challenge to computational linguistics. This paper describes our work in building an adverbial lexicon, which draws on the theoretical work of several linguists to help us to cope with the complexity of the adverb class. Our lexicon contains information from many sources including machine readable dictionaries, a dictionary of adverb placement, and special collections of adverbial information developed by linguists. These sets of information have been organized and linked together using the information in the Machine Readable Dictionaries as a basic structure and using the Oracle Relational Database Management System. The paper includes a description of ways in which this lexicon can be used by natural language processing systems. © 1994 Oxford University Press.

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Generalized evidence pre-propagated importance sampling for hybrid bayesian networks

Generalized evidence pre-propagated importance sampling for ...

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AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference

作者： Yuan, Changhe Druzdzel, Marek J. Department of Computer Science and Engineering Mississippi State University Mississippi State MS 39762 Intelligent Systems Program School of Information Sciences University of Pittsburgh Pittsburgh PA 15260

ISBN: (纸本)1577353234

In this paper, we first provide a new theoretical understanding of the Evidence Pre-propagated Importance Sampling algorithm (EPIS-BN) (Yuan & Druzdzel 2003;2006b) and show that its importance function minimizes the KL-divergence between the function itself and the exact posterior probability distribution in Polytrees. We then generalize the method to deal with inference in general hybrid Bayesian networks consisting of deterministic equations and arbitrary probability distributions. Using a novel technique called soft arc reversal, the new algorithm can also handle evidential reasoning with observed deterministic variables. Copyright © 2007, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Bayesian networks

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Assessing code decay: A data-driven approach 24

Assessing code decay: A data-driven approach

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24th International Conference on Software Engineering and Data Engineering, SEDE 2015

作者： Bandi, Ajay Allen, Edward B. Williams, Byron J. Math. Computer Science and Information Systems Northwest Missouri State University MaryvilleMO64468 United States Computer Science and Engineering Mississippi State University Mississippi StateMS39762 United States

ISBN: (纸本)9781510812277

Code decay is a gradual process that negatively impacts the quality of a software system. Developers need trusted measurement techniques to evaluate whether their systems have decayed. This paper aims to assess code decay by discovering software architectural violations. We propose a methodology that uses Lightweight Sanity Check for Implemented Architectures (LiSCIA) to derive architectural constraints represented by canuse and cannot-use phrases. Our methodology also uses a reverse engineering tool to discover architectural violations. We also introduce measures that indicate code decay in a software system. We conducted a case study of a proprietary system (14 versions) to demonstrate our methodology for assessing code decay. Resulting architectural constraints and architectural violations were validated by the expert of the system. The proposed code decay metrics can give managers datadriven insight into the process of software development, the history of the software product, and the status of unresolved violations. Our results and qualitative analysis showed that the methodology was effective and required a practical level of effort for moderate sized software systems.

关键词： Reverse engineering

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Remark on some π variants 3rd

Remark on some π variants

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3rd International Symposium on Dependable Software Engineering: Theories, Tools and Applications, SETTA 2017

作者： Xue, Jianxin Long, Huan Fu, Yuxi College of Computer and Information Engineering Shanghai Polytechnic University Shanghai China BASICS MOE-MS Key Laboratory for Intelligent Computing and Intelligent Systems Department of Computer Science Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9783319694825

Two π variants that restrict the use of received names are studied. For either variant the external characterization of the absolute equality is given using a family of bisimulations;the expressive completeness of the calculus is established;and a complete equational proof system is constructed. The relative expressiveness between the two variants and their relationship to π are revealed in terms of subbisimilarity. © 2017, Springer International Publishing AG.

关键词： Calculations

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