DAS SOTI Presented by Nextmark: What We Love, Hate and Desire in Our Digital ...Digiday
What do we love and hate about our jobs in the digital media business? How happy are we? What drives our happiness? NextMark’s Joe Pych will present the results from Digiday’s first ever Digital Media Job Satisfaction Survey. The results may surprise you!
Presenter: Joe Pych, CEO, NextMark @jpych
Motion sensing combo sensor is a very hot topic, both in terms of market potential and competition among the players. The growth of the applications of 6 and 9 degrees of freedom (DoF) devices is both pushing the leaders (STMicroelectronics, Bosch Sensortec and InvenSense) and their challengers (AKM, Kionix, mCube, Freescale, Alps, Kionix…) to develop innovative technical and manufacturing solutions, and, in parallel of course, to have the right patents to protect their inventions. What are the similarities and the differences in term of technical and manufacturing choices at the devices level ? What is the related patent situation?
OBJECTIVES OF THE REPORT
• Find the technical and manufacturing process similarities and differences of LSM9DS0, BMX055 and MPU-9250 9-axis IMU components.
• Identify key patents held by STMicroelectronics, Bosch Sensortec and InvenSense, and related to the target product features.
• Find the link between patented technological solutions and marketed products.
• Identify the potential infringing parties and help to find evidence of use.
• Identify potential risks of patent infringement and identify the patents which require a more in depth legal assessment.
KEY FEATURES OF THE REPORT
• Deep insight on technology data and manufacturing processes
• Comparative studies of product features (similarities & differences)
• Key patents related to the target product features per company
• Cross analysis of potential patent infringement risks
• Excel database with all patents analyzed in the report
Green chemistry in chemical reactions: informatics by designAlex Clark
Chemical informatics technology can be of assistance to chemists for describing reactions in numerous ways, including calculating green chemistry metrics such as process mass intensity, E-factor and atom economy. To facilitate this, chemical reactions have to be described in more precise detail than is the norm for most chemists. There are also numerous practical ways to add more green chemistry functionality to lab notebooks, such as enumerating searchable reaction transforms for environmentally favourable reactions, automatically looking up toxicity and hazard information, and others which are mentioned in the slides.
This presentation was given at the Green Chemistry & Engineering conference in 2015 (Americal Chemical Society Green Chemistry Insititute).
The importance of data curation on QSAR Modeling: PHYSPROP open data as a cas...Kamel Mansouri
This presentation highlighted how data curation impacts the reliability of QSAR models. We examined key datasets related to environmental endpoints to validate across chemical structure representations (e.g., mol file and SMILES) and identifiers (chemical names and registry numbers), and approaches to standardize data into QSAR-ready formats prior to modeling procedures. This allowed us to quantify and segregate data into quality categories. This improved our ability to evaluate the resulting models that can be developed from these data slices, and to quantify to what extent efforts developing high-quality datasets have the expected pay-off in terms of predicting performance. The most accurate models that we build will be accessible via our public-facing platform and will be used for screening and prioritizing chemicals for further testing.
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
Data Governance and Stewardship requires automation of business semantics management at its nucleus, in order to achieve data trust between business and IT communities in the organization. University divisions operate highly autonomously and decentralized, and are often geographically distributed. Hence, they benefit more from an collaborative and agile approach to Data Governance and Stewardship approach that adapts to its nature.
In this lecture, we start by reviewing 'C' in ICT and reflect on the dilemma: what is the most important quality of data being shared: truth or trust? We review the wide spectrum of business semantics. We visit the different phases of growing data pain as an organization expands, and we map each phase on this spectrum of semantics.
Next, we introduce our principles and framework for business semantics management to support Data Governance and Stewardship focusing on the structural (what), processual (how) and organizational (who) components. We illustrate with use cases from Stanford University, George Washington University and Public Science and Innovation Administrations.
DAS SOTI Presented by Nextmark: What We Love, Hate and Desire in Our Digital ...Digiday
What do we love and hate about our jobs in the digital media business? How happy are we? What drives our happiness? NextMark’s Joe Pych will present the results from Digiday’s first ever Digital Media Job Satisfaction Survey. The results may surprise you!
Presenter: Joe Pych, CEO, NextMark @jpych
Motion sensing combo sensor is a very hot topic, both in terms of market potential and competition among the players. The growth of the applications of 6 and 9 degrees of freedom (DoF) devices is both pushing the leaders (STMicroelectronics, Bosch Sensortec and InvenSense) and their challengers (AKM, Kionix, mCube, Freescale, Alps, Kionix…) to develop innovative technical and manufacturing solutions, and, in parallel of course, to have the right patents to protect their inventions. What are the similarities and the differences in term of technical and manufacturing choices at the devices level ? What is the related patent situation?
OBJECTIVES OF THE REPORT
• Find the technical and manufacturing process similarities and differences of LSM9DS0, BMX055 and MPU-9250 9-axis IMU components.
• Identify key patents held by STMicroelectronics, Bosch Sensortec and InvenSense, and related to the target product features.
• Find the link between patented technological solutions and marketed products.
• Identify the potential infringing parties and help to find evidence of use.
• Identify potential risks of patent infringement and identify the patents which require a more in depth legal assessment.
KEY FEATURES OF THE REPORT
• Deep insight on technology data and manufacturing processes
• Comparative studies of product features (similarities & differences)
• Key patents related to the target product features per company
• Cross analysis of potential patent infringement risks
• Excel database with all patents analyzed in the report
Green chemistry in chemical reactions: informatics by designAlex Clark
Chemical informatics technology can be of assistance to chemists for describing reactions in numerous ways, including calculating green chemistry metrics such as process mass intensity, E-factor and atom economy. To facilitate this, chemical reactions have to be described in more precise detail than is the norm for most chemists. There are also numerous practical ways to add more green chemistry functionality to lab notebooks, such as enumerating searchable reaction transforms for environmentally favourable reactions, automatically looking up toxicity and hazard information, and others which are mentioned in the slides.
This presentation was given at the Green Chemistry & Engineering conference in 2015 (Americal Chemical Society Green Chemistry Insititute).
The importance of data curation on QSAR Modeling: PHYSPROP open data as a cas...Kamel Mansouri
This presentation highlighted how data curation impacts the reliability of QSAR models. We examined key datasets related to environmental endpoints to validate across chemical structure representations (e.g., mol file and SMILES) and identifiers (chemical names and registry numbers), and approaches to standardize data into QSAR-ready formats prior to modeling procedures. This allowed us to quantify and segregate data into quality categories. This improved our ability to evaluate the resulting models that can be developed from these data slices, and to quantify to what extent efforts developing high-quality datasets have the expected pay-off in terms of predicting performance. The most accurate models that we build will be accessible via our public-facing platform and will be used for screening and prioritizing chemicals for further testing.
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
Data Governance and Stewardship requires automation of business semantics management at its nucleus, in order to achieve data trust between business and IT communities in the organization. University divisions operate highly autonomously and decentralized, and are often geographically distributed. Hence, they benefit more from an collaborative and agile approach to Data Governance and Stewardship approach that adapts to its nature.
In this lecture, we start by reviewing 'C' in ICT and reflect on the dilemma: what is the most important quality of data being shared: truth or trust? We review the wide spectrum of business semantics. We visit the different phases of growing data pain as an organization expands, and we map each phase on this spectrum of semantics.
Next, we introduce our principles and framework for business semantics management to support Data Governance and Stewardship focusing on the structural (what), processual (how) and organizational (who) components. We illustrate with use cases from Stanford University, George Washington University and Public Science and Innovation Administrations.
【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.
59. 関連ニュース
http://www.chip1stop.com/news/NC00011122/
(VCNL4040)
ビシェイ社、小型4 mm x 2 mm x 1.1 mmパッケージの近接+アンビエントライトセンサーを発表
2015年2月20日
(Si1147)
Silicon Labs Introduces Industry s First Digital Ultraviolet Index Sensors
2014年2月10日
http://news.silabs.com/press-release/product-news/silicon-labs-introduces-industrys-first-digital-ultraviolet-index-sensors
68. 関連ニュース
http://www.mcubemems.com/news-events/press-releases/mcube-mc3571-pr/
(MC3571)
mCube Redefines MEMS Sensor Innovation by Unveiling the World s Smallest 1x1mm Accelerometer
2015年10月27日
(MC3635)
mCube Introduces the Industry s Smallest and Most Power-Efficient Accelerometer for Wearables and the Internet of
Moving Things
2015年10月7日
http://www.mcubemems.com/news-events/press-releases/mcube-introduces-the-industrys-smallest-and-most-power-efficient-
accelerometer-for-wearables-and-the-internet-of-moving-things/
(BMA280)
Bosch Sensortec launches triaxial MEMS acceleration sensors up to 14 bit resolution
2012年1月
http://www.bosch-presse.de/presseforum/pressdownload/text/PI7562.pdf?id=5398,2
(LIS3DSH)
スマート・センシングをリードするMEMS加速度センサを発表
2011年11月8日
http://prtimes.jp/main/html/rd/p/000000259.000001337.html
128. 型番 メーカー名 サイズ
Mouser価格
(1個)
Mouser価格
(100個購入時)
Si7053 SiliconLabs 2mm x 2mm ¥446.7 ¥327.3
TMP102 TI 1.2mm x 1.6mm ¥198.5 ¥138.2
ADT7410 AnalogDevices 2.7mm x 4.0mm ¥472.2 ¥346.1
MCP9808 Microchip 2.7mm x 4.0mm ¥163.7 ¥114
STS21 Sensirion 3.0mm x 3.0mm ¥362.2 ¥262.9
型番 範囲 制度
Si7053 -40∼125 C 0.3 C
TMP102 -25∼85 C 0.5 C
ADT7410 -55∼150 C 0.4∼1 C
MCP9808 -40∼125 C 0.25 C
STS21 -40∼125 C 0.2 C
153. 関連ニュース
http://ir.invensense.com/phoenix.zhtml?c=237953&p=irol-newsArticle&ID=2003597
(ICM30630)
InvenSense® Ushers in the Era of Sensor System-On-Chip With the World s First Integrated Motion Sensor and Multi-
Core Processing
2015年1月6日
http://www.bosch-press.com/tbwebdb/bosch-usa/modules/oragetblob.dll/MEMS%20Technology%20at%20CES.pdf?
db=TBWebDB_rbna&item=TBWebDB_texpdf&id=520,1&dispo=a
(BNO055)
Bosch Sensortec sets size, performance and integration benchmarks in consumer MEMS
2012年1月7日