CTF for ビギナーズのネットワーク講習で使用した資料です。
講習に使用したファイルは、以下のリンク先にあります。
https://onedrive.live.com/redir?resid=5EC2715BAF0C5F2B!10056&authkey=!ANE0wqC_trouhy0&ithint=folder%2czip
CTF for ビギナーズのネットワーク講習で使用した資料です。
講習に使用したファイルは、以下のリンク先にあります。
https://onedrive.live.com/redir?resid=5EC2715BAF0C5F2B!10056&authkey=!ANE0wqC_trouhy0&ithint=folder%2czip
Supercharge your Investments with Tax-Loss HarvestingWealthfront
Tax-loss harvesting, or "tax selling," is a technique used to lower your taxes while maintaining the expected risk and return profile of your portfolio. It harvests previously unrecognized investment losses to offset taxes due on your other gains and income. You can reinvest these tax savings to significantly grow the value of your portfolio.
Committed to democratizing access to sophisticated investment advice, Wealthfront developed software to make tax-loss harvesting, traditionally only available to accounts in excess of $10 million, available to taxable accounts with at least $100K.
Learn more about Wealthfront's tax-loss harvesting service: wealthfront.com/tax-loss-harvesting/
#ABC17 : Alphabet of Innovations, Academic Concepts and Emerging MovementsDuane Holland
In a post-truth world, pushing brand messages is no longer enough. Today, brands need to pull genuine interest by underpinning creative ideas with creative intelligence about human behaviour, cultural shifts and cutting-edge innovation.
Here is our run down of themes that are on our radar which may inspire thinking to take a different path.
Hold tight.
The Sustainable Multi-functional Automated Resilient Transport Infrastructures European Training Network (SMARTI ETN), will bring together a stimulating platform where key stakeholders of the transport infrastructure sector will work alongside worldwide experts in smartening of systems (developers of high-tech sensors, advanced monitoring equipment, automated structures, etc.,) with direct support from the roads, railways and airports managers.
This environment will enable talented graduates to conceive the transport infrastructure network of the future and will provide them with worldwide extended and globally-leading training in each of the four pillars supporting the SMARTI vision:
• designed by using improved decision frameworks aimed at improving durability, maximising recycling and minimising environmental, economic and social impacts
• conceived not for transport purposes only but also towards optimisation of land use by adding energy harvesting capabilities
• equipped with low-cost, wireless sensors to allow pro-active communication aiming for a more intuitive use and a simplified management
• conceived to self-repair and be adaptable to changes due to natural and anthropogenic hazards
This unique consortium of excellence will be driving the researchers into 15 individual research projects (IRPs) clustered in two highly linked and multidisciplinary Work Packages (WP2, WP3) consisting of training-through-research paths, leading to the formation of a new generation of academy industry-ready graduate, in the “development of Prototype of infrastructure’s components” and in the redaction of “Guidelines for the SMARtening of design, construction and management practices for Road, Railways and Airports Infrastructure” written with collaborations among the fellows and stakeholders and that will be disseminated in Europe and beyond.
Our network of public and private sector partners provide outstanding expertise and state-of-the-art facilities, and complement each other, bringing together the necessary scientific and professional power needed to provide high-quality training and cutting-edge research in the field of smartening of transport infrastructures.
¿No has podido asistir a BETT o ISE 2017, o bien no has tenido la oportunidad de visitarnos en ambas ferias?
En este webinario te contamos las principales tendencias observadas en estas ferias y las principales novedades sobre nuestros productos.
Compartiremos con todos los asistentes un informe de la empresa de analisis de mercado Future Source - The Future in Focus in BETT 2017.
Offshore Maintenance Success: Adding $434M to the Bottom LineRobert Mason
By infusing solid program management techniques into offshore maintenance practices, this client's subsea reliability skyrocketed, maintenance times decreased and hundreds of millions of dollars were added to the bottom line.
Lipril (Lisinopril Dihydrate Tablets) is used alone or along with other medications to treat high blood pressure (hypertension), heart failure and to improve survival in patients who have just had a heart attack.
Prepare se para sua startup de sucesso!Igor Fonseca
Esta apresentação é indicada para jovens e maduros que queiram revisar insights para construir uma Startup de sucesso. Apresentada na SECCOMP em 21, Março de 2016.
Event Report - Worforce Software Vision 2017 - Time to start the boostersHolger Mueller
Constellation Research's Holger Mueller summarizes his top 3 takeaways from Workforce Software Vision 2017 user conference held in New Orleans, March 13th-15th 2017.
【DLゼミ】XFeat: Accelerated Features for Lightweight Image Matchingharmonylab
公開URL:https://arxiv.org/pdf/2404.19174
出典:Guilherme Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. ascimento: XFeat: Accelerated Features for Lightweight Image Matching, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
概要:リソース効率に優れた特徴点マッチングのための軽量なアーキテクチャ「XFeat(Accelerated Features)」を提案します。手法は、局所的な特徴点の検出、抽出、マッチングのための畳み込みニューラルネットワークの基本的な設計を再検討します。特に、リソースが限られたデバイス向けに迅速かつ堅牢なアルゴリズムが必要とされるため、解像度を可能な限り高く保ちながら、ネットワークのチャネル数を制限します。さらに、スパース下でのマッチングを選択できる設計となっており、ナビゲーションやARなどのアプリケーションに適しています。XFeatは、高速かつ同等以上の精度を実現し、一般的なラップトップのCPU上でリアルタイムで動作します。
セル生産方式におけるロボットの活用には様々な問題があるが,その一つとして 3 体以上の物体の組み立てが挙げられる.一般に,複数物体を同時に組み立てる際は,対象の部品をそれぞれロボットアームまたは治具でそれぞれ独立に保持することで組み立てを遂行すると考えられる.ただし,この方法ではロボットアームや治具を部品数と同じ数だけ必要とし,部品数が多いほどコスト面や設置スペースの関係で無駄が多くなる.この課題に対して音𣷓らは組み立て対象物に働く接触力等の解析により,治具等で固定されていない対象物が組み立て作業中に運動しにくい状態となる条件を求めた.すなわち,環境中の非把持対象物のロバスト性を考慮して,組み立て作業条件を検討している.本研究ではこの方策に基づいて,複数物体の組み立て作業を単腕マニピュレータで実行することを目的とする.このとき,対象物のロバスト性を考慮することで,仮組状態の複数物体を同時に扱う手法を提案する.作業対象としてパイプジョイントの組み立てを挙げ,簡易な道具を用いることで単腕マニピュレータで複数物体を同時に把持できることを示す.さらに,作業成功率の向上のために RGB-D カメラを用いた物体の位置検出に基づくロボット制御及び動作計画を実装する.
This paper discusses assembly operations using a single manipulator and a parallel gripper to simultaneously
grasp multiple objects and hold the group of temporarily assembled objects. Multiple robots and jigs generally operate
assembly tasks by constraining the target objects mechanically or geometrically to prevent them from moving. It is
necessary to analyze the physical interaction between the objects for such constraints to achieve the tasks with a single
gripper. In this paper, we focus on assembling pipe joints as an example and discuss constraining the motion of the
objects. Our demonstration shows that a simple tool can facilitate holding multiple objects with a single gripper.
7. ハニーネットで大活躍ですね!
1:TD+ 1:TD+
H 2:TD- 2:TD-
Sniffer
U
B 3:RD+ 3:RD+
6:RD- 6:RD-
受信専用ケーブル
※ 賢くない HUB に繋いで使います
8. 自分宛てのが見れれば十分です
● 全部見ると大変→フィルタを使う
# tcpdump -i any -nn port 80
# tcpdump -i any -nn host 192.168.1.1 and port 80
# tcpdump -i any -nn not port 22 and not port 3389
● ペイロードまで見たい
# tcpdump -i any -nn -x
# tcpdump -i any -nn -X
小文字: Hex ダンプだけ
大文字:アスキー付き