Hasil untuk "Irrigation engineering. Reclamation of wasteland. Drainage"

Esteban Parra, Sonia Haiduc, Preetha Chatterjee et al.

Peer review is the main mechanism by which the software engineering community assesses the quality of scientific results. However, the rapid growth of paper submissions in software engineering venues has outpaced the availability of qualified reviewers, creating a growing imbalance that risks constraining and negatively impacting the long-term growth of the Software Engineering (SE) research community. Our vision of the Future of the SE research landscape involves a more scalable, inclusive, and resilient peer review process that incorporates additional mechanisms for: 1) attracting and training newcomers to serve as high-quality reviewers, 2) incentivizing more community members to serve as peer reviewers, and 3) cautiously integrating AI tools to support a high-quality review process.

Himon Thakur, Armin Moin

The discussion around AI-Engineering, that is, Software Engineering (SE) for AI-enabled Systems, cannot ignore a crucial class of software systems that are increasingly becoming AI-enhanced: Those used to enable or support the SE process, such as Computer-Aided SE (CASE) tools and Integrated Development Environments (IDEs). In this paper, we study the energy efficiency of these systems. As AI becomes seamlessly available in these tools and, in many cases, is active by default, we are entering a new era with significant implications for energy consumption patterns throughout the Software Development Lifecycle (SDLC). We focus on advanced Machine Learning (ML) capabilities provided by Large Language Models (LLMs). Our proposed approach combines Retrieval-Augmented Generation (RAG) with Prompt Engineering Techniques (PETs) to enhance both the quality and energy efficiency of LLM-based code generation. We present a comprehensive framework that measures real-time energy consumption and inference time across diverse model architectures ranging from 125M to 7B parameters, including GPT-2, CodeLlama, Qwen 2.5, and DeepSeek Coder. These LLMs, chosen for practical reasons, are sufficient to validate the core ideas and provide a proof of concept for more in-depth future analysis.

Yang Yue, Zheng Jiang, Yi Wang

The heterogeneity in the organization of software engineering (SE) research historically exists, i.e., funded research model and hands-on model, which makes software engineering become a thriving interdisciplinary field in the last 50 years. However, the funded research model is becoming dominant in SE research recently, indicating such heterogeneity has been seriously and systematically threatened. In this essay, we first explain why the heterogeneity is needed in the organization of SE research, then present the current trend of SE research nowadays, as well as the consequences and potential futures. The choice is at our hands, and we urge our community to seriously consider maintaining the heterogeneity in the organization of software engineering research.

Klara Borowa, Andrzej Zalewski, Lech Madeyski

The software engineering researchers from countries with smaller economies, particularly non-English speaking ones, represent valuable minorities within the software engineering community. As researchers from Poland, we represent such a country. We analyzed the ICSE FOSE (Future of Software Engineering) community survey through reflexive thematic analysis to show our viewpoint on key software community issues. We believe that the main problem is the growing research-industry gap, which particularly impacts smaller communities and small local companies. Based on this analysis and our experiences, we present a set of recommendations for improvements that would enhance software engineering research and industrial collaborations in smaller economies.

Karina Kohl, Luigi Carro

Software Engineering (SE) faces simultaneous pressure from AI automation (reducing code production costs) and hardware-energy constraints (amplifying failure costs). We position that SE must redefine itself around human discernment-intent articulation, architectural control, and verification-rather than code construction. This shift introduces accountability collapse as a central risk and requires fundamental changes to research priorities, educational curricula, and industrial practices. We argue that Software Engineering, as traditionally defined around code construction and process management, is no longer sufficient. Instead, the discipline must be redefined around intent articulation, architectural control, and systematic verification. This redefinition shifts Software Engineering from a production-oriented field to one centered on human judgment under automation, with profound implications for research, practice, and education.

Maryam Rezaei

Evapotranspiration estimation is one of the most important water balance components and involves various complexities. In general, energy balance models are divided into two categories: single-source and two-source models. Choosing a model to estimate ET from among the existing energy balance models is challenging because each model has strengths and limitations. The goal of the present research is to introduce and compare several evapotranspiration estimation methods, including Surface Energy Balance Algorithm for Land (SEBAL) model, Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) model, Surface Energy Balance System (SEBS) model, Simpled Surface Energy Balance Index (S-SEBI) model, Operational Simplified Surface Energy Balance (SSEBop) model— Two- Source (soil + canopy) (TSM) model and Two-Source Time Integrated (TSTIM) model. Some advantages of the single-source energy balance model S_SEBI include the following: It is possible to implement it using only images without the need for weather data. Therefore, if the number of meteorological stations in the area is low, this method can be utilized. No need for a land use map. One disadvantage of this model is that it can only be used in cases where atmospheric conditions across the entire image are constant. Due to the simplicity and lower complexity of the structure and assumptions of the SSEBop model, it has increased operational capability for calculating actual evapotranspiration over large areas. However, it is not recommended for regions with heterogeneous vegetation cover, mountainous areas, high albedo regions, or high levels of radiation, and in such areas, the TSEB algorithm is recommended. Due to some errors and uncertainties in these surface energy balance models, extensive studies are required to overcome these limitations.

HUANG Wenlin, SHAO Jing’an, WANG Chi et al.

【Objective】In the hilly and mountainous regions of Southwest China, improving irrigation efficiency is critical due to their complex terrains. This paper studies the inter-annual variation in irrigation water effective utilization coefficient (IWEUC) in these regions and identifies its main influencing factors.【Method】Taking Chongqing in the region as the study area, inter-annual changes in IWEUC were analyzed using data measured across 79 irrigation districts. Nine influencing factors categorized into four groups: natural conditions, resource availability, management practices and engineering infrastructure were selected in the analysis. Principal component analysis (PCA) was used to identify the dominant factors that influence IWEUC. 【Result】 ① IWEUC in Chongqing is lower than the national average due to the difficulty of implementing efficient irrigation in its mountainous terrains. While IWEUC has been growing over time, the growing rate has slowed in recent years. Spatially, IWEUC ranked from highest to lowest as southeast, west, main city and northeast. ② In irrigation districts with similar sizes, pumping-irrigation areas had higher IWEUC than free-flow irrigation areas, likely due to greater transmission efficiency of water in pipelines. However, free-flow irrigation areas showed faster growth in IWEUC. Medium-sized irrigation districts outperformed small-sized ones in absolute IWEUC, yet the latter demonstrated higher growth potential. ③ PCA results showed that areas with water-saving irrigation projects contributed most positively to IWEUC.【Conclusion】To further enhance irrigation efficiency in the mountainous regions of Southwest China, priority should be given to small-scale and free-flow irrigation districts, which have greater potential for improvement. Efforts should focus on improving irrigation management, optimizing water allocation, and expanding water-saving infrastructure, to enhance sustainable agricultural water use in these regions.

CAO Ruizhe, QIN Anzhen

【Objective】Accurate estimation of reference crop evapotranspiration (ET0) is essential for determining crop water requirements, improving irrigation efficiency and supporting sustainable water resource management, especially in regions facing water scarcity. The objective of this paper is to identify a reliable and practical model for estimating ET0 in Northern Henan Province.【Method】Daily meteorological data measured from 2021 to 2022 and numerical weather forecasts from 2023 for Xinxiang City, Henan Province, were used to develop and evaluate the following ET0 models: the Prophet model, the autoregressive integrated moving average model (ARIMA), the extreme learning machine (ELM) model, and their hybrid combinations. ET0 calculated using these models were compared with that calculated using the FAO-56 Penman-Monteith method.【Result】ET0 calculated in all models were correlated with maximum temperature, minimum temperature, solar radiation, and wind speed 2 m above the ground surface. They factors were thus selected as inputs to the models. The time-series models (Prophet and ARIMA) effectively captured seasonal variation in ET0 but gave rise to notable errors when ET0 exceeded 5.5 mm/d. The ELM model better captured the nonlinear relationship between ET0 and these meteorological factors, achieving an increase of R2 value by 11%, compared with the time-series models. The ELM-ARIMA hybrid model was more accurate than other models for calculating ET0 in medium-term (1-10 day), with its MAE, RMSE and MBE reduced by 64.5%, 72.9% and 65.6%, respectively, compared to those in the non-hybrid model; its correlation with observed ET0 was R2=0.945, the highest among all models.【Conclusion】The ELM-ARIMA hybrid model is most accurate and reliable for calculating ET0 and is recommended for use in water resource management and agricultural planning in Northern Henan Province.

Taha Ahmadi Pargo, Mohsen Akbarpour Shirazi, Dawud Fadai

Regarding problems like reduced precipitation and an increase in population, water resource scarcity has become one of the most critical problems in modern-day societies, as a consequence, there is a shortage of available water resources for irrigation in arid and semi-arid countries. On the other hand, it is possible to utilize modern technologies to control irrigation and reduce water loss. One of these technologies is the Internet of Things (IoT). Despite the possibility of using the IoT in irrigation control systems, there are complexities in designing such systems. Considering this issue, it is possible to use agent-oriented software engineering (AOSE) methodologies to design complex cyber-physical systems such as IoT-based systems. In this research, a smart irrigation system is designed based on Prometheus AOSE methodology, to reduce water loss by maintaining soil moisture in a suitable interval. The designed system comprises sensors, a central agent, and irrigation nodes. These agents follow defined rules to maintain soil moisture at a desired level cooperatively. For system simulation, a hybrid agent-based and system dynamics model was designed. In this hybrid model, soil moisture dynamics were modeled based on the system dynamics approach. The proposed model, was implemented in AnyLogic computer simulation software. Utilizing the simulation model, irrigation rules were examined. The system's functionality in automatic irrigation mode was tested based on a 256-run, fractional factorial design, and the effects of important factors such as soil properties on total irrigated water and total operation time were analyzed. Based on the tests, the system consistently irrigated nearly optimal water amounts in all tests. Moreover, the results were also used to minimize the system's energy consumption by reducing the system's operational time.

Mugeng Liu, Siqi Zhong, Weichen Bi et al.

Large language model-specific inference engines (in short as \emph{LLM inference engines}) have become a fundamental component of modern AI infrastructure, enabling the deployment of LLM-powered applications (LLM apps) across cloud and local devices. Despite their critical role, LLM inference engines are prone to bugs due to the immense resource demands of LLMs and the complexities of cross-platform compatibility. However, a systematic understanding of these bugs remains lacking. To bridge this gap, we present the first empirical study on bugs in LLM inference engines. We mine official repositories of 5 widely adopted LLM inference engines, constructing a comprehensive dataset of 929 real-world bugs. Through a rigorous open coding process, we analyze these bugs to uncover their symptoms, root causes, commonality, fix effort, fix strategies, and temporal evolution. Our findings reveal six bug symptom types and a taxonomy of 28 root causes, shedding light on the key challenges in bug detection and location within LLM inference engines. Based on these insights, we propose a series of actionable implications for researchers, inference engine vendors, and LLM app developers, along with general guidelines for developing LLM inference engines.

Ashis Kumar Mandal, Md Nadim, Chanchal K. Roy et al.

Research in software engineering is essential for improving development practices, leading to reliable and secure software. Leveraging the principles of quantum physics, quantum computing has emerged as a new computational paradigm that offers significant advantages over classical computing. As quantum computing progresses rapidly, its potential applications across various fields are becoming apparent. In software engineering, many tasks involve complex computations where quantum computers can greatly speed up the development process, leading to faster and more efficient solutions. With the growing use of quantum-based applications in different fields, quantum software engineering (QSE) has emerged as a discipline focused on designing, developing, and optimizing quantum software for diverse applications. This paper aims to review the role of quantum computing in software engineering research and the latest developments in QSE. To our knowledge, this is the first comprehensive review on this topic. We begin by introducing quantum computing, exploring its fundamental concepts, and discussing its potential applications in software engineering. We also examine various QSE techniques that expedite software development. Finally, we discuss the opportunities and challenges in quantum-driven software engineering and QSE. Our study reveals that quantum machine learning (QML) and quantum optimization have substantial potential to address classical software engineering tasks, though this area is still limited. Current QSE tools and techniques lack robustness and maturity, indicating a need for more focus. One of the main challenges is that quantum computing has yet to reach its full potential.

Ajay Singh, Trevor Brown

Safe memory reclamation techniques that utilize per read reservations, such as hazard pointers, often cause significant overhead in traversals of linked concurrent data structures. This is primarily due to the need to announce a reservation, and fence to enforce appropriate ordering, before each read. In read-intensive workloads, this overhead is amplified because, even if relatively little memory reclamation actually occurs, the full overhead of reserving records is still incurred while traversing data structures. In this paper, we propose a novel memory reclamation technique by combining POSIX signals and delayed reclamation, introducing a publish-on-ping approach. This method eliminates the need to make reservations globally visible before use. Instead, threads privately track which records they are accessing, and share this information on demand with threads that intend to reclaim memory. The approach can serve as a drop-in replacement for hazard pointers and hazard eras. Furthermore, the capability to retain reservations during traversals in data structure operations and publish them on demand facilitates the construction of a variant of hazard pointers (EpochPOP). This variant uses epochs to approach the performance of epoch-based reclamation in the common case where threads are not frequently delayed (while retaining the robustness of hazard pointers). Our publish-on-ping implementations based on hazard pointers (HP) and hazard eras, when applied to various data structures, exhibit significant performance improvements. The improvements across various workloads and data structures range from 1.2X to 4X over the original HP, up to 20% compared to a heavily optimized HP implementation similar to the one in the Folly open-source library, and up to 3X faster than hazard eras. EpochPOP delivers performance similar to epoch-based reclamation while providing stronger guarantees.

Tim Wittenborg, Ildar Baimuratov, Ludvig Knöös Franzén et al.

The aerospace industry operates at the frontier of technological innovation while maintaining high standards regarding safety and reliability. In this environment, with an enormous potential for re-use and adaptation of existing solutions and methods, Knowledge-Based Engineering (KBE) has been applied for decades. The objective of this study is to identify and examine state-of-the-art knowledge management practices in the field of aerospace engineering. Our contributions include: 1) A SWARM-SLR of over 1,000 articles with qualitative analysis of 164 selected articles, supported by two aerospace engineering domain expert surveys. 2) A knowledge graph of over 700 knowledge-based aerospace engineering processes, software, and data, formalized in the interoperable Web Ontology Language (OWL) and mapped to Wikidata entries where possible. The knowledge graph is represented on the Open Research Knowledge Graph (ORKG), and an aerospace Wikibase, for reuse and continuation of structuring aerospace engineering knowledge exchange. 3) Our resulting intermediate and final artifacts of the knowledge synthesis, available as a Zenodo dataset. This review sets a precedent for structured, semantic-based approaches to managing aerospace engineering knowledge. By advancing these principles, research, and industry can achieve more efficient design processes, enhanced collaboration, and a stronger commitment to sustainable aviation.

Keumsoo Hong

The Kimpo Plains represents a series of floodplains on the rivers of Anyang, Koolpo, Keolpo, Bongsungpo, etc. Yet the Koolpo river valley has been called exceptionally by the vernacular name of Bupyong Plains. Although the Kimpo-Bupyong Plains laid for a long time underutilized due to the presence of internal swamps and recurrent flooding and droughts, consistent efforts had been made to enhance the intensity of the land use, including the construction of Grand Reservoir and the draining projects prior to the 14 century and th other hydraulic engineering undertakings thereafter. Despite the speedy progression of internal improvement driven by the chartered estates of royal family and local governments in Joseon Korea and the institutionalization of reclamation by Emperor Kojong, it was Japanese colonial capitalists assisted by ‘Utilization Act of Unreclaimed National Land’ that monopolized the profits. Multi-use pasture became the main target of improvement to be usurped by Japanese landlords and colonial companies. The establishment of modern irrigation associations for flood-prevention, irrigation and drainage played essential roles in water control and landscape transformation. The town at Sosa Station and the Military-Industry complex in the neighborhood of Bupyong Station mediated the shaping of Seoul-Incheon conurbation. The ongoing industrialization and urbanization have replaced the agrarian land with post-industrial landscape.

حلیمه پیری, اسماعیل میر

در این پژوهش اثر بیوچار بر کارایی مصرف آب آبیاری و کارایی مصرف نیتروژن در سطوح مختلف آبی و کود نیتروژن برای گیاه کارلا در شهرستان زاهدان موردبررسی قرار گرفت. آزمایش در شرایط گلخانه به­صورت فاکتوریل و در قالب طرح کاملاًکاملاًکاملاً تصادفی با سه تکرار (کاشت بهمن‌ماه 1398 و برداشت فروردین‌ماه 1399) انجام شد. تیمارها شامل سه تیمار آب آبیاری ((I1)50، (I2)75 و 100(I3) درصد مقدار آب آبیاری، چهار تیمار بیوچار (صفر (B1)، 25/1 (B2)، 5/2 (B3) و 5 (B4) درصد وزنی خاک گلدان) و سه تیمار کود نیتروژن (50 (N1)، 75 (N2) و 100 (N3) درصد نیاز کودی گیاه) بود. سطوح تنش آبی در طول فصل رشد ﺑﺎ ﺗﻮزﯾﻦ روزاﻧﻪ ﮔﻠﺪانﻫﺎ اﻋﻤﺎل ﺷﺪ. برداشت هر هفته یک­بار انجام شد. در مجموع پنج بار برداشت انجام شد. عملکرد و کارایی مصرف آب آبیاری و کارایی مصرف نیتروژن و شوری خاک در پایان فصل کشت در هر تیمار محاسبه شد. هم‌چنین مقدار نیتروژن خاک و قند میوه نیز در هر برداشت اندازه­گیری شد. نتایج نشان داد اثرات سطوح آب آبیاری و بیوچار در سطح احتمال یک و پنج درصد بر پارامترهای اندازه­گیری‌شده معنی­دار بود. بیش‌ترین مقدار عملکرد (5/15 تن در هکتار) از تیمار 100 درصد مقدار آب آبیاری حاصل شد که از این نظر با تیمار 75 درصد آب آبیاری معنی­دار نبود. استفاده از بیوچار تا سطح 5/2 درصد وزنی خاک باعث افزایش عملکرد شد. استفاده بیش‌تر بیوچار (5 درصد وزنی خاک) باعث کاهش عملکرد گیاه شد. بیش‌ترین کارایی مصرف آب (14/3 کیلوگرم بر مترمکعب) و کارایی مصرف نیتروژن (55/94 کیلوگرم بر کیلوگرم) با مصرف 75 درصد کود نیتروژن (150 کیلوگرم در هکتار) و 5/2 درصد وزنی بیوچار به­دست آمد. استفاده از مقدار مناسب بیوچار ﺳﺒﺐ ﮐﺎﻫﺶ اﺛﺮات ﻣﻨﻔﯽ ﺗﻨﺶ رﻃﻮﺑﺘﯽ در ﻣﻘﺎﯾﺴﻪ ﺑﺎ ﺷﺎﻫﺪ ﺷﺪ. ﺑﻨﺎﺑﺮاﯾﻦ ﮐﺎرﺑﺮد آن ﺑﺮای ﮔﯿﺎه و ﺑﻪوﯾﮋه در ﺷﺮاﯾﻄﯽ ﮐﻪ ﮔﯿﺎه ﺗﺤﺖ ﺗﻨﺶ ﺧﺸﮑﯽ اﺳﺖ و ﯾﺎ در ﮔﻠﺨﺎﻧﻪﻫﺎ و ﺧﺰاﻧﻪﻫﺎ ﺑﻪ­ﻣﻨﻈﻮر ﮐﺎﻫﺶ ﻣﯿﺰان آب ﻣﺼﺮﻓﯽ و ﺑﻬﺒﻮد ﻋﻤﻠﮑﺮد ﮔﯿﺎه ﻗﺎﺑﻞ‌ﺗﻮﺻﯿﻪ ﻣﯽﺑﺎﺷﺪ، ﻫﺮﭼﻨﺪ ﭘﯿﺸﻨﻬﺎد ﻣﯽﺷﻮد آزﻣﺎﯾﺶ در ﺷﺮاﯾﻂ ﻣﺰرﻋﻪ ﻧﯿﺰ اﻧﺠﺎم ﺷﻮد.

Mohammad Golshan

Considering the increase in population and the development of urban and rural communities, it is very important to check the quality of urban drinking water. Baharestan watershed supplies most of the drinking water of Astara city with a population of 91,257 people.  In this research, based on laboratory investigations and the Water Safety Plan (WSP), an assessment was conducted on the unintended changes in water quality and the evaluation of the water supply system in this city. For this purpose, after the field visit, the sampling points were determined and samples were taken by depth integration method in three seasons: spring, summer, and autumn. In the sampling points, water quality parameters including sodium, magnesium, calcium, phosphate, nitrate, nitrite, bicarbonate, manganese, iron, chemical oxygen demand, biological oxygen demand, overall digestive form, dissolved oxygen, acidity, electrical conductivity, and total hardness were determined. According to the results, the region's water quality index (IRWQI) was calculated. The results of water quality measurement in the sampling areas showed that the water of this river has no problem in terms of drinking water. The parameter of iron (Fe) with a value of 6.88 mg/liter in the Mashand branch, which has the most sources of pollution, is more than the permissible limit, which indicates the priority of carrying out control and correction measures in this branch. The value of the IRWQI index was equal to 60.33, which indicates the relatively good water condition of the region. Also, the review of WSP results showed that team formation with a score of 65% has the highest score and the average score of this plan in Astara city is 33.64, which means that by completing the WSP plan and preventing pollution from entering the river water, better quality drinking water can be provided to the citizens.

PENG Zicheng, YANG Xiaohu, YANG Haichang et al.

【Objective】 Evaluating evapotranspiration and soil salinization is critical for soil and water management but challenging on large scales. This paper investigates the feasibility of using remote sensing technologies and meteorological data to estimate evapotranspiration and soil salinization in irrigated areas. 【Method】 The study was conducted in the Manasi River Basin in Northeastern China. It was based on the Surface Energy Balance System (SEBS) model, using the Landsat-8 remote sensing data and field sampling to estimate spatial distribution of both evapotranspiration and soil salinity in the studied area. 【Result】 ① The normalized vegetation index (R2 = 0.644 8), surface specific emissivity (R2 = 0.637 7), and surface temperature (R2 = 0.558 3) all showed a strong correlation with soil salinity, while surface albedo (R2 = 0.198 6) had a weaker correlation with soil salinity. ② Daily evapotranspiration (ET) in the Manasi River Basin ranged from 0.024 to 5.403 mm, with an average of 3.866 mm. ET decreased from the Southern irrigation area to the Northern Gobi region. ③ ET values less than 3.60 mm/d were associated with non-saline and moderate saline soils. For areas with ET between 3.60 mm/d and 4.05 mm/d, moderate soil salinity dominated. For areas with ET exceeding 4.05 mm/d, the proportion of severe soil salinity increased significantly. 【Conclusion】 Using remotely sensed satellite imagery, the SEBS model provides an accurate, high-resolution estimate of evapotranspiration in terrestrial systems. The evapotranspiration was positively correlated with soil salinity in the Manasi River Basin. These results can help improve land and water management in the region.

Ricardo Villalba-Briones, Paola Calle, Marynes Montiel et al.

Hydrogeochemical and microbiological parameters of groundwater samples in the Paipayales agricultural community in western Ecuador were studied to evaluate groundwater origin, contamination, and suitability for domestic use and irrigation. The water wells studied are typically shared by multiple families which account for 37% of the total community population. A total of 31 parameters of water samples from the wells used by the community were analysed by four laboratories at the ESPOL University. The parameters analysed included microbiological and chemical compounds, along with physical characteristics typically influencing water quality. As regards the World Health Organization (WHO), U.S. Environmental Protection Agency (EPA), and Ecuadorian standards, all samples failed to meet the required concentrations for at least one compound. The chemical analysis showed eight elements (cadmium, aluminium, ammonia, iron, manganese, chloride, and bromide) exceeded the maximum limits for drinking water in at least one well. Seventy percent of sampled wells failed to meet the maximum permissible limits for at least one chemical parameter. Water in all wells showed the presence of microbiological contaminants. The high natural groundwater salinity limits the ability to use this groundwater for irrigation purposes. Water in open and closed wells shows different hydrochemical and microbiological patterns. The presence of domestic animals and the lack of protection for wells may influence the quality of water. It is highly recommended that the authorities increase water supply and storage capacity to improve the availability of drinkable water in rural communities in the area.

Grace Fan, Roee Shraga, Renée J. Miller

We introduce the problem of Table Reclamation. Given a Source Table and a large table repository, reclamation finds a set of tables that, when integrated, reproduce the source table as closely as possible. Unlike query discovery problems like Query-by-Example or by-Target, Table Reclamation focuses on reclaiming the data in the Source Table as fully as possible using real tables that may be incomplete or inconsistent. To do this, we define a new measure of table similarity, called error-aware instance similarity, to measure how close a reclaimed table is to a Source Table, a measure grounded in instance similarity used in data exchange. Our search covers not only SELECT-PROJECT- JOIN queries, but integration queries with unions, outerjoins, and the unary operators subsumption and complementation that have been shown to be important in data integration and fusion. Using reclamation, a data scientist can understand if any tables in a repository can be used to exactly reclaim a tuple in the Source. If not, one can understand if this is due to differences in values or to incompleteness in the data. Our solution, Gen-T, performs table discovery to retrieve a set of candidate tables from the table repository, filters these down to a set of originating tables, then integrates these tables to reclaim the Source as closely as possible. We show that our solution, while approximate, is accurate, efficient and scalable in the size of the table repository with experiments on real data lakes containing up to 15K tables, where the average number of tuples varies from small (web tables) to extremely large (open data tables) up to 1M tuples.

R. Aurigemma, V. Pisacane, Fabiana Ravellino et al.

The enhancement of Earth Observation systems involves identifying application fields where satellite remote sensing can and should provide a decisive contribution to improving the economic and social well-being of the community. The effectiveness of actions based on the information derived from satellite data analysis becomes increasingly important, particularly when it is challenging to achieve similar results over a large area using traditional measurement methods in a short period. The control and monitoring of the efficiency and infrastructural stability of water distribution and drainage networks managed by the Reclamation Consortia are prime examples of this. The extensive territorial areas to be monitored, combined with the difficulty of efficiently acquiring the necessary information using traditional systems, highlight the importance of satellite data. In Italy, the Reclamation Consortia maintain and operate a vast array of facilities, channels, and other infrastructures dedicated to soil protection (approximately 200,000 kilometers of drainage and irrigation channels, about 800 pumping stations, 22,000 weirs, etc.) and irrigation, which in turn increase land value, production competitiveness, agricultural income, and employment. The MIDS (Monitoring Water Infrastructures with Satellite Data) project arises from the need to bridge existing gaps in current operational systems for monitoring Basin infrastructures through the synergistic use of different types of satellite data: Multispectral, Hyperspectral, and SAR. The MIDS project introduces genuine innovation in data processing techniques compared to those currently used while building on some already developed products. The goal is to achieve a credible engineering and prototyping plan to rapidly transfer this innovation into operational use. Specifically, MIDS aims to create three types of products from satellite data elaboration to innovatively address the real monitoring needs of the Reclamation Consortia, with a clear potential for future commercial use. The key areas of focus are: Monitoring leaks in irrigation distribution networks and analyzing district-scale needs. Monitoring infrastructure of weirs and dams along main axes. Detecting pollutants related to major discharges (Regi Lagni).