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a queste domande ... una risposta certa!
A new graph-based approach for biometric fusion at hybrid rank-score levelSotiris Mitracos
For more information, contact me at akismitracos [ a t ] gmail . com
In this paper we define a new approach to biometric fusion, characterized by the use of graph structure to represent identities, starting from a hybrid rank-score fusion level.
We define the proposed framework, with the description of the mapping identity-list-graph, with the use of the cohort theory, and then we explain the steps to perform the Graph Similarity Score and the Graph Based Fusion and their computational complexity.
Subsequently, we apply the proposed method to two different dataset, in order to evaluate its accuracy and to compare the obtained results against the employment of the other fusion schemes previously illustrated, and then we analyze the results themselves, even by means of a Case Study.
Finally we make reflections about what has been achieved and which could be the possible future works exploiting our framework.
Presenters: Vijay Bharti and Anuradha Soha
Audience: WMRC, Sher-e-Kashmir University of Agricultural Sciences and Technology-Jammu, Chatha, Jammu, India
Subject Country: Jammu Region, India
Determination of Arid and Temperature Resistant Sweet Corn (Zea mays sacchara...Agriculture Journal IJOEAR
The objective of the present study is to identify aridity and temperature resistant sweet corn variety candidates and to provide resource material for development of new hybrid varieties. The research was designed as three-peat random blocks experimental design in Siirt and Sakarya locations in 2014, and irrigation application was conducted with drip irrigation method. Mean plant water consumption in control (I100) was 808 mm and 633 mm in Siirt and Sakarya, and the mean irrigation water amount was 684 mm and 138 mm, respectively. The statistical significances of differences among soil moisture content, chlorophyll-meter value, crop water stress index, fresh corncob, and grain yield were investigated. The arid and temperature resistant sweet corn line was determined according to soil moisture content, chlorophyll-meter value, and crop water stress index. The most arid and temperature resistant corn line, variety line #2, had the lowest moisture content and crop water stress index value but the highest chlorophyll-meter value. We found that to determine the arid and temperature resistant corn lines, soil moisture content values can also be used together with chlorophyll-meter values and crop water stress index.
Effect of different initial soil moisture on desi chickpea ICCV 95107 (Cicer ...Agriculture Journal IJOEAR
Abstract— This study aimed to assess some priming methods and durations under ranging field capacities of water in Kirinyaga County in Kenya in 2012/2013 growing seasons. A two season field experiment was conducted at Mwea Irrigation Agricultural Development Centre (MIAD) farm to evaluate chickpea advanced lines of ICCV 97105 for growth and growth rates under no priming, hydro priming and halo prime at three levels of i.e. 0.1, 0.2 and 0.3 % NaCl2 concentration with three priming durations (8, 10 and 12 hours) and varying initial soil moisture levels 100% field capacity (FC), 75 % FC, 50 % FC and 25 % FC). The experiment was laid out in a split plot design with three replications. Pre sowing irrigation, combined priming method and priming duration allocated in the main, and sub-plots, respectively. The control treatment was the pre-sowing irrigation at field capacity (FC). The results revealed the maximum/optimum crop growth rate (CGR) of desi chickpea was achieved with 100% FC during wet season I (October, 2012-January, 2013) which was 181.0kg DM/ha/day, while it was 114 kg DM/ha/day with 90-96% FC during the drier season II (July -Oct 2013). Desi chickpea grows slowly under low seasonal rainfall (311.2 mm) than higher seasonal rainfall (565.1 mm). Therefore, it is necessary to apply higher pre sowing irrigation of up to 100% FC in dry areas. Relating crop growth rate CGR during 75-90 days after sowing (DAS) phase period with DM and CGR to grain yield at harvest 120 DAS revealed that it is possible to predict DM and grain yield with 80.5 and 77.5% confidence by use of linear production functions:
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Author: Khidhir Abbas Hameed
Title: Rice Water Management and Reduction in Iraq
Presented at: The 5th International Rice Congress (SRI research side event)
Venue: Sands Expo and Convention Centre, Singapore
Date: October 16, 2018
A new graph-based approach for biometric fusion at hybrid rank-score levelSotiris Mitracos
For more information, contact me at akismitracos [ a t ] gmail . com
In this paper we define a new approach to biometric fusion, characterized by the use of graph structure to represent identities, starting from a hybrid rank-score fusion level.
We define the proposed framework, with the description of the mapping identity-list-graph, with the use of the cohort theory, and then we explain the steps to perform the Graph Similarity Score and the Graph Based Fusion and their computational complexity.
Subsequently, we apply the proposed method to two different dataset, in order to evaluate its accuracy and to compare the obtained results against the employment of the other fusion schemes previously illustrated, and then we analyze the results themselves, even by means of a Case Study.
Finally we make reflections about what has been achieved and which could be the possible future works exploiting our framework.
Presenters: Vijay Bharti and Anuradha Soha
Audience: WMRC, Sher-e-Kashmir University of Agricultural Sciences and Technology-Jammu, Chatha, Jammu, India
Subject Country: Jammu Region, India
Determination of Arid and Temperature Resistant Sweet Corn (Zea mays sacchara...Agriculture Journal IJOEAR
The objective of the present study is to identify aridity and temperature resistant sweet corn variety candidates and to provide resource material for development of new hybrid varieties. The research was designed as three-peat random blocks experimental design in Siirt and Sakarya locations in 2014, and irrigation application was conducted with drip irrigation method. Mean plant water consumption in control (I100) was 808 mm and 633 mm in Siirt and Sakarya, and the mean irrigation water amount was 684 mm and 138 mm, respectively. The statistical significances of differences among soil moisture content, chlorophyll-meter value, crop water stress index, fresh corncob, and grain yield were investigated. The arid and temperature resistant sweet corn line was determined according to soil moisture content, chlorophyll-meter value, and crop water stress index. The most arid and temperature resistant corn line, variety line #2, had the lowest moisture content and crop water stress index value but the highest chlorophyll-meter value. We found that to determine the arid and temperature resistant corn lines, soil moisture content values can also be used together with chlorophyll-meter values and crop water stress index.
Effect of different initial soil moisture on desi chickpea ICCV 95107 (Cicer ...Agriculture Journal IJOEAR
Abstract— This study aimed to assess some priming methods and durations under ranging field capacities of water in Kirinyaga County in Kenya in 2012/2013 growing seasons. A two season field experiment was conducted at Mwea Irrigation Agricultural Development Centre (MIAD) farm to evaluate chickpea advanced lines of ICCV 97105 for growth and growth rates under no priming, hydro priming and halo prime at three levels of i.e. 0.1, 0.2 and 0.3 % NaCl2 concentration with three priming durations (8, 10 and 12 hours) and varying initial soil moisture levels 100% field capacity (FC), 75 % FC, 50 % FC and 25 % FC). The experiment was laid out in a split plot design with three replications. Pre sowing irrigation, combined priming method and priming duration allocated in the main, and sub-plots, respectively. The control treatment was the pre-sowing irrigation at field capacity (FC). The results revealed the maximum/optimum crop growth rate (CGR) of desi chickpea was achieved with 100% FC during wet season I (October, 2012-January, 2013) which was 181.0kg DM/ha/day, while it was 114 kg DM/ha/day with 90-96% FC during the drier season II (July -Oct 2013). Desi chickpea grows slowly under low seasonal rainfall (311.2 mm) than higher seasonal rainfall (565.1 mm). Therefore, it is necessary to apply higher pre sowing irrigation of up to 100% FC in dry areas. Relating crop growth rate CGR during 75-90 days after sowing (DAS) phase period with DM and CGR to grain yield at harvest 120 DAS revealed that it is possible to predict DM and grain yield with 80.5 and 77.5% confidence by use of linear production functions:
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Author: Khidhir Abbas Hameed
Title: Rice Water Management and Reduction in Iraq
Presented at: The 5th International Rice Congress (SRI research side event)
Venue: Sands Expo and Convention Centre, Singapore
Date: October 16, 2018
Case Study: Integrated crop-irrigation technology packages scaled out and wi...NENAwaterscarcity
Fawzi Karajeh and Atef Swelam
Integrated Water and Land Management Program,
International Center for Agricultural Research in the Dry Areas (ICARDA), Cairo- Egypt
f.Karajeh@cgiar.org
T6: Case Study: Integrated crop-irrigation technology packages scaled out and...FAO
Case Study: Integrated crop-irrigation technology packages scaled out and widely adopted in Egypt and Sudan, By Fawzi Karajeh and Atef Swelam, Integrated Water and Land Management Program, International Center for Agricultural Research in the Dry Areas(ICARDA), Cairo- Egypt, Land and Water Days in Near East & North Africa, 15-18 December 2013, Amman, Jordan
Condition Studied Moisture of Ground Agryculture Production in Azerbaijan to ...CrimsonpublishersMedical
Condition Studied Moisture of Ground Agryculture Production in Azerbaijan to Achieve Ecological Clean Products by Aliev ZH in International Journal of Medical Sciences
Improving Agricultural Water Productivity in the Indira Gandhi Nahar Pariyoja...ICARDA
11-14 February 2019. Jodhpur, India. The 13th International Conference on Dryland Development,
Presentation at the session of 12 February: TU - ICARDA Satellite Symposium : Crop Improvement for Sustainable Production.
Improving Agricultural Water Productivity in the Indira Gandhi Nahar Pariyojana (IGNP). A joint project between ICARDA and CAZRI
Vinay Nangia, N.D. Yadava, M.L. Soni and V.S. Rathore
Assessment of the State of Optimal Control of Surface Moisture as the Main Fa...BRNSS Publication Hub
The current information on moisture and the temperature of the ground in managerial system by production
to agricultural product necessary, in the first place, for taking the operative decisions at development of
ecological clean technology irrigation under growing agricultural cultures to achieve the maximum harvest.
The climate resilient agriculture for rainfed and dryland farming is need of the hour. This discus the options of climate adapted agricultural technologies.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Powerpoint
1. The effect of water regimes on corn and
wheat production
A.M AL-OMARAN – SOIL SCIENCE DEPT., COLLEGE OF AGRICULTURE, KING
SAUD UNIVERSITY,
EMIR, J. AGRIC. SCI. (1990)
Meelika Raup
EMÜ, TL
3. INTRODUCTION
Effects of water regime on corn and wheat
production in the Kingdom of Saudi Arabia
Most limiting factor in Saudi Arabia is water
deficit
4. METHODS AND MATERIALS
Experiments were taken over four years from
1985 to 1988
Each experiment consisted of three different
regimes - wet, medium and dry
5. METHODS AND MATERIALS
The soil of the field content
Early planting time was chosen to avoid the high
temperature
6. METHODS AND MATERIALS
Wet regime, 1190 mm of water were added in 17
irrigations in the first season and 840 mm in 12
irrigations in the second season
Medium regime, 840 and 560 mm of water were
given for first and second seasons
Dry regime, 770 and 420 mm of water
7. RESULTS OF CORN
The results of corn experiment showed that the
yield of corn was not significantly affected by the
water regime treatments
Causes might be:
theamount of water applied
water quality.
8. RESULTS OF WHEAT
The results of wheat showed that:
the wet regime gave significantly taller plants and
heavier seeds
significantly greater seed and biological yields than
meedium and dry regimes.
9. CONCLUSION
It can be concluded that the corn may not tolerate
irrigation deficit and saline water quality
Wheat recorded a high yield of some water stress
10. REFERENCES
Journal article „The effect of water regimes on
corn and wheat production“
http://ejfa.info/article/view/5025