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Omllioncorprofile 110124063957-phpapp02
Omllion offers a social media monitoring and analytics platform that allows companies to:
1. Track conversations about their brand, products, competitors and influencers across social media sites.
2. Measure key metrics like sentiment, reach, and share of voice to evaluate performance against competitors.
3. Analyze real-time data and engagement trends to inform social media strategies and make timely adjustments to impact audiences.
The platform provides protection of online identities, listening capabilities to identify discussions, tools to measure performance, and insights to analyze growth opportunities across major social networks in a single dashboard.
Vmreport
This document is a research report on the virtual memory management of Linux. It discusses several key aspects of Linux's virtual memory system:
1) Linux uses a page replacement algorithm based on a clock algorithm, which cycles through physical memory pages checking for recent access using hardware-supported reference bits. This approximates an LRU replacement strategy.
2) Techniques like demand paging, copy-on-write, and memory mapping are used to improve efficiency. Only accessed pages are loaded into memory.
3) The report focuses on page replacement algorithms and swapping/caching technology, and identifies some problems with virtual memory management.
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This document outlines the terms and conditions for a rental agreement between John Doe and ABC Properties for the lease of 123 Main St from January 1, 2023 through December 31, 2023. The tenant agrees to pay $1,000 per month in rent and is responsible for all utilities and maintenance of the property. The landlord and tenant both agree to abide by local laws and that the lease will automatically renew each year unless notice is given.
Tv parser an automatic tv video parsing method_liang_20100309
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This document presents TVParser, a model for automatically parsing TV videos. TVParser aims to segment scenes and name faces in an unsupervised manner using a generative model. It represents roles using histograms of face appearances and character names, and aligns video and scripts by mining face-name correspondences. The model formulation allows for fast learning of name clusters and global scene segmentation through inference. Experimental results demonstrate its ability to perform face naming and scene segmentation on TV show datasets.Case Study PowerPoint Unit 3
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The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
遺伝的アルゴリズムと知識蒸留による大規模言語モデル（LLM）の学習とハイパーパラメータ最適化
オープンエンドな進化から着想を得て、個々の大規模言語モデル（LLM）が、グループとして学習を進めながら、ノームエージェントとして機能するという概念を探求しています。これは、単一のモデルでは難しい複雑な問題を解決することを目的としています。具体的な方法として、遺伝的アルゴリズムと知識蒸留を組み合わせた学習プロセスを提案しています。知識蒸留によって学習を進め、同時に遺伝的アルゴリズムでハイパーパラメータを最適化することで、より効率的な学習を目指します。ドメインタスクとして、指示からPythonコードを生成するコード生成タスクを選択しました。実験では、学習に3つの学習モデルと1つの教師モデルを使用しました。その結果、HumanEvalのpass@1で精度が1.2%向上し、学習が進むにつれて学習率が最適化された兆候が見られました。しかし、大幅な精度向上を達成し、さまざまなハイパーパラメータを最適化するには、まだ課題が残っています。
論文紹介：Deep Learning-Based Human Pose Estimation: A Survey
Ce Zheng, Wenhan Wu, Chen Chen, Taojiannan Yang, Sijie Zhu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah, "Deep Learning-Based Human Pose Estimation: A Survey" arXiv2020
https://arxiv.org/abs/2012.13392
生成AIがもたらすコンテンツ経済圏の新時代 The New Era of Content Economy Brought by Generative AI
、コンテンツ制作の主体をプロのクリエーターからユーザーへと移行させている現状をご存じの方も多いでしょう。現在、画像コンテンツ制作現場では生成AIがクリエーターを支援するツールとして利用されています。セミナーでは、画像生成における自動化の境界についての議論が予定されています。
AIの利用には著作権や倫理的な問題も伴いますが、クリエーターとAIが共存し、センシング技術と統合することで新しい形のコンテンツが生み出されることが期待されています。
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This document presents TVParser, a model for automatically parsing TV videos. TVParser aims to segment scenes and name faces in an unsupervised manner using a generative model. It represents roles using histograms of face appearances and character names, and aligns video and scripts by mining face-name correspondences. The model formulation allows for fast learning of name clusters and global scene segmentation through inference. Experimental results demonstrate its ability to perform face naming and scene segmentation on TV show datasets.Case Study PowerPoint Unit 3
This document discusses a case study of Forever Growing, a small preschool, implementing technology-based instruction to improve student readiness and teacher effectiveness. The school director plans to work with UHCL to develop DVD and web-based learning modules. The case study will illustrate how Forever Growing develops a strategy to introduce the technology to teachers, train them on usage, and ensure proper adoption, given the challenges of their small size and uneven technical skills among teachers.
Case Study PowerPoint Unit 5
The document discusses policies and regulations for technology usage in pre-kindergarten schools. It provides details on state requirements for areas like licensing, safety, and facilities. Guidelines also extend to the appropriate use of technology for early education. The document then focuses on the Forever Growing pre-k school, outlining its history, strengths, weaknesses, and challenges in meeting technology standards with limited funding. Recommendations include improving staff training, developing technology-integrated lessons, and ensuring a learning environment that facilitates the curriculum.
Case Study PowerPoint Unit 1
This document discusses the challenges facing Forever Growing Preschool in Alvin, Texas. Due to rising costs and decreased funding, the preschool is struggling to provide high-quality early education programs. The director has implemented several cost-cutting measures, but may need to modestly increase tuition. The document evaluates alternatives and strategies to ensure the preschool's future success in preparing children for kindergarten through literacy-rich curriculum and teacher training.
Questionnaires on performance appraisal
This document provides guidance on evaluating employee performance through a weekly appraisal process. It outlines the general requirements, including that appraisals should be done on weekends and summarized monthly. The appraisal form collects an employee's details and scores them in areas like quality of work, completion time, and regulation conformity. Scores are given letter grades from A to E, with E being the best, and are used to provide an overall monthly performance rank. The document also provides a sample appraisal form design.
American Sign Language
This document provides an introduction to common signs in American Sign Language (ASL). It includes signs for family members, clothing, questions, animals, foods and more. Each sign is accompanied by an illustration and reference to external sources for further information on ASL signs. The goal is to teach basic vocabulary to communicate essential words and concepts through sign language.
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Dossier despedidas
La Unión Europea ha acordado un paquete de sanciones contra Rusia por su invasión de Ucrania. Las sanciones incluyen restricciones a las transacciones con bancos rusos clave y la prohibición de la venta de aviones y equipos a Rusia. Los líderes de la UE esperan que las sanciones aumenten la presión económica sobre Rusia y la disuadan de continuar su agresión contra Ucrania.
Planificacion y organizaciòn
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La observación
La observación desempeña un papel fundamental en la investigación científica al permitir el descubrimiento de patrones y la formulación de teorías. La observación científica implica factores psicológicos como la atención y la percepción, así como factores intelectuales como la inducción, deducción y abstracción. Una observación exacta requiere conocimientos amplios sobre el tema, confrontación de puntos de vista, uso adecuado de instrumentos y registro preciso de los fenómenos observados.
Fairy tail cap 288 [sugoi scans]
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遺伝的アルゴリズムと知識蒸留による大規模言語モデル（LLM）の学習とハイパーパラメータ最適化
オープンエンドな進化から着想を得て、個々の大規模言語モデル（LLM）が、グループとして学習を進めながら、ノームエージェントとして機能するという概念を探求しています。これは、単一のモデルでは難しい複雑な問題を解決することを目的としています。具体的な方法として、遺伝的アルゴリズムと知識蒸留を組み合わせた学習プロセスを提案しています。知識蒸留によって学習を進め、同時に遺伝的アルゴリズムでハイパーパラメータを最適化することで、より効率的な学習を目指します。ドメインタスクとして、指示からPythonコードを生成するコード生成タスクを選択しました。実験では、学習に3つの学習モデルと1つの教師モデルを使用しました。その結果、HumanEvalのpass@1で精度が1.2%向上し、学習が進むにつれて学習率が最適化された兆候が見られました。しかし、大幅な精度向上を達成し、さまざまなハイパーパラメータを最適化するには、まだ課題が残っています。
論文紹介：Deep Learning-Based Human Pose Estimation: A Survey
Ce Zheng, Wenhan Wu, Chen Chen, Taojiannan Yang, Sijie Zhu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah, "Deep Learning-Based Human Pose Estimation: A Survey" arXiv2020
https://arxiv.org/abs/2012.13392
生成AIがもたらすコンテンツ経済圏の新時代 The New Era of Content Economy Brought by Generative AI
、コンテンツ制作の主体をプロのクリエーターからユーザーへと移行させている現状をご存じの方も多いでしょう。現在、画像コンテンツ制作現場では生成AIがクリエーターを支援するツールとして利用されています。セミナーでは、画像生成における自動化の境界についての議論が予定されています。
AIの利用には著作権や倫理的な問題も伴いますが、クリエーターとAIが共存し、センシング技術と統合することで新しい形のコンテンツが生み出されることが期待されています。
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ReonHata_便利の副作用に気づかせるための発想支援手法の評価---行為の増減の提示による気づきへの影響---
我々はこれまで，新たなモノを産出する過程において「便利にすること」によって副次的に生じる課題を「便利の副作用」と定義し，その低減を目的としてアイディアの発想支援手法を提案してきた．
これまでの研究では，便利前後の行為の増減に着目することにより便利の副作用への気づきの誘発が示唆されたものの，行為の増減の提示による便利の副作用への気づきへの影響は十分に検討できていなかった．
そのため，本稿では行為の提示により便利の副作用に気づき，それを防いだアイディアの発想の支援が可能かの検証を目的として実験を行い，その有効性について検証する．
実験では，行為の増減の提示の有無によりアイディア発想にどのような影響を与えるか検証を行う．
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