WITNESS LIST
Health & Human Services
April 29, 2015 8:00 AM
FOR:
Ammann, John Father of Emily (Self; C.A.F.E. Texas), San Antonio, TX
Davis, Jeff (also providing written testimony) (CAFE Texas), Haslet, TX
Garcia Ammann, Victoria Mom (Emily with CAFE Texas), San Antonio, TX
Howard, Marie Grandmother (Dravet-Epilepsy), Keller, TX
Litzinger, Linda Parent (Self), Austin, TX
Moccia, Leslie (also providing written testimony) (Self), San Antonio, TX
Moccia, Zachariah (Self), San Antonio, TX
Moran, Patrick President, Co-Founder (Texas Cannabis Industry Association), McKinney,
TX
Perkins Jr., Freedom Epileptologist (Dell Children's Medical Center), Austin, TX
Reaves, Rebecca Jo (Self), Brenham, TX
Richard, Kathryn (also providing written testimony) (Daughter), Austin, TX
Sanders, Katie (Self), Weir, TX
Tullis, Liz (Self), San Antonio, TX
Von Allmen, Gretchen MD (also providing written testimony) (UT Health Science Center
at Houston), Houston, TX
AGAINST:
Travis, William Sheriff (Sheriff's Association of Texas), Denton, TX
Registering, but not testifying:
FOR:
Afeef, Fahad (Self), Colorado Springs, CO
Bearden, Chase Director Advocacy (Coalition of Texans with Disabilities), Austin, TX
Bingham, Marcy Parent (Self), Troy, TX
Bump Padden, Danor (Self), Austin, TX
Carriker, Terri (Self), Austin, TX
Davis, Shauna (CAFE Texas), Haslet, TX
Figi, Paige Founder (Realm of Caring), Colorado Springs, CO
Fokas, Stephanie (CAFE Texas), Dallas, TX
Frandsen, Barbara Retired (Self), Austin, TX
Graham, Katie Parent (CAFE Texas), Austin, TX
Kubala, Jonathan Engineer (Self), Austin, TX
LaVallo, Richard Legal Director (Disability Rights Texas), Austin, TX
Lavelle, Tanya Senior Manager of Advocacy (Self; Easter Seals Central Texas), Austin,
TX
Mani, Cynthia Nurse Practitioner (Self), Houston, TX
Mani, Manju Nurse Anesthetist (Self), Houston, TX
Marcella, Suzanne (Self), San Antonio, TX
McMorris, Timothy Parent (Self), Austin, TX
Morrison, Susan Attorney (Self; Family), Austin, TX
Otchis, Nina (Self), Round Rock, TX
Pair, Reba (Self), Brenham, TX
WITNESS LIST
Health & Human Services
April 29, 2015 8:00 AM
Reynolds, Elaine (CAFE Texas), Waco, TX
Reynolds, Mark (CAFE Texas), Waco, TX
Rhoden IV, David (CAFE Texas), The Colony, TX
Riner, Gwendolyn (Self), Pearland, TX
Robbins, Shannon Assistant Director (Self; Epilepsy Foundation Texas), Pearland, TX
Robinson, Jennifer (Self), Dallas, TX
Rosales, Sindi CEO (Epilepsy Foundation Central and South Texas), Garden Ridge, TX
Russell, Zoe Assistant Executive Director (Republicans Against Marijuana Prohibition
(RAMP)), Houston, TX
Sanders, Andrew (Self), Weir, TX
Sparks, Allie Sister (Compassionate Access for Epilepsy), Grapevine, TX
Sparks, Chuck (Self), Grapevine, TX
Sparks, Lauren (Self), Grapevine, TX
Steensma, Amy (Self), Round Rock, TX
Steensma, Jean (Self), Round Rock, TX
Steensma, Joe (Self), Round Rock, TX
Summerville, Cody (Self), Austin, TX
Williams, Nancy (City of Austin), Austin, TX
Yurich, Joanne (C.A.F.E. Texas), Dallas, TX
AGAINST:
Agnew, Murray Chief Deputy (Sheriff's Association of Texas), Groesbeck, TX
Boyd, Roy Chief Deputy (Sheriff's Association of Texas), Victoria, TX
Harmon, Micah Sheriff (Sheriffs' Association of Texas), Hallettsville, TX
Louderback, A. J. Sheriff (Sheriffs' Association of Counties), Edna, TX
Plemons, Randy Asst. Chief Deputy (Denton County Sheriff's Office), Denton, TX
Wilson, Dennis Sheriff (Sheriff's Association of Texas), Groesbeck, TX
ON:
Bortell, Dean Director (Self; Team Alexis), Rowlett, TX
Williams, Stephanie Mrs. (Self), Grand Junction, CO
Providing written testimony:
FOR:
Kubala, Sheryl Mom (Self), Austin, TX
Toney, Sarajane (Self), Austin, TX
Whitty, Karen (Self), Austin, TX
ON:
Ellis, Chris Co-Founder and Principal (Beacon Information Designs, LLC), Scottsdale, AZ
FOR:
Lucas, Tommy President (also providing written testimony) (Texas Optometric
Association), Killeen, TX
AGAINST:
Bowes, Harrison Dr. (Texas Ophthalmology Association), San Antonio, TX
WITNESS LIST
Health & Human Services
April 29, 2015 8:00 AM
Daftarian, Soheil Dr. (TOA), Lubbock, TX
Edmond, Jane Physician (Texas Ophthalmological Association), Austin, TX
McManaman, Dennis Retired Deputy Sheriff (Self), Amarillo, TX
Registering, but not testifying:
FOR:
Avery, Brenda (Bj) Executive Director (Texas Optometric Association), Austin, TX
Nguyen, Steve Optometrist (Self), Irving, TX
AGAINST:
Capelo, Jaime (Coalition for Patient Safety), Austin, TX
Finch, Dan Director, Legislative Affairs (Texas Medical Association), Austin, TX
Gicheru, Sidney Physician (Texas Ophthalmological Association), Austin, TX
Herzog, Greg (Texas Society of Gastroenterology; Texas Neurological Society), Austin,
TX
Hillert, Bobby Executive Director (Texas Orthopaedic Association), Austin, TX
Pierce, Jack MD (Texas Ophthalmological Association), Austin, TX
Reed, Rachael Executive Director (Texas Ophthalmological Association), Austin, TX
Reynolds, David Executive Director (Texas Osteopathic Medical Association), Austin, TX
Travis, Clayton Policy Coordinator (Texas Pediatric Society), Austin, TX
ON:
Kloeris, Chris Executive Director (Texas Optometry Board), Austin, TX
Robinson, Mari Executive Director (Texas Medical Board), Austin, TX
FOR:
Allred, James Dermatologist, Medical Doctor (Texas Dermatological Society), Austin, TX
Cullington, James Plastic Surgeon (Texas Society for Plastic Surgeons), Austin, TX
Snyder, Renee Physician (Texas Dermatology Society), Austin, TX
AGAINST:
Conwell, Audra CEO (Alliance of Independent Pharmacists), Austin, TX
Hardin-Oliver, Carole Pharmacist, Past-President (Self; Texas Pharmacy Association),
Kingwood, TX
Newberry, Mark Pharmacist (Self), Austin, TX
Shields, Brad Lobbyist (Texas Federation of Drug Stores), Austin, TX
Registering, but not testifying:
FOR:
Broadus, Bob Director St. Govt. Affairs (Allergan / Actavis), Madisonville, LA
Capelo, Jaime (Texas Society of Plastic Surgeons), Austin, TX
Finch, Dan Director, Legislative Affairs (Texas Medical Association), Austin, TX
Haeber, Julie Policy Director (Texas Healthcare and Bioscience Institute), Austin, TX
Hardy, Shannon Reg. Sales Mgr - TX (Valeant Pharma - Obagi Medical), Irvine, TX
Patterson, Analea Attorney / Outside Counsel (Valeant Pharmaceuticals / Obagi Medical
Products), Sacramento, CA
Simpson, Stephanie VP (Texas Association of Manufacturers), Austin, TX
WITNESS LIST
Health & Human Services
April 29, 2015 8:00 AM
AGAINST:
Amuneke-Nze, Chibuokem Student and Researcher (Self), Austin, TX
Burgos, Angelica Janice Pharmacy Student (Self), Austin, TX
Chen, Dennis Pharmacy Student (Self), Allen, TX
Chung, Haemy Owner (Self; K Portal Arts (small business)), Austin, TX
Corbell, Brittany Pharmacist Intern (Self), Austin, TX
Davies, Paige Pharmacist Intern (Self), Austin, TX
Davis, Matthew Student Pharmacist (Self), Austin, TX
Donnelly, Simone Pharmacy Student (Self), Houston, TX
Enchinton, Jonathan Student Pharmacist (Self), Austin, TX
Fitzsimmons, Jade Student Pharmacist (Self), Austin, TX
George, Marshall (Self), Austin, TX
Hang, Kelly Pharmacy Student (Self), Austin, TX
Heal, Jr., John Director, Govt. Affairs (Texas TrueCare Pharmacies / Pharmacy Buying
Association), Austin, TX
Ho, Hau Pharmacy Student (Self), Houston, TX
Hudman, Justin Senior Director of Public Affairs (Texas Pharmacy Association), Austin,
TX
Kirkpatrick, Emily Pharmacy Technician (Self), Allen, TX
Littlefield, Ellie Pharmacist Intern (Self), Lubbock, TX
Liu, Chang Pharmacist Intern, Ph.D. (Self), San Antonio, TX
Mack, Simone Pharmacist Intern (Self), Austin, TX
Meador, Siena Student Pharmacist (Self), Austin, TX
Medlin, Christopher Student Pharmacist (Self), El Paso, TX
Mootz, Marilyn Pharmacist Intern (Self), Dallas, TX
Nguyen, Man-Khoi Pharmacy Student (Texas Pharmacy Association), Meadows Place, TX
Nitschmann, Rebecca Pharmacy Student (Self), Austin, TX
Noorali, Baneen (Student Pharmacists), Austin, TX
Palka, Samuel Student Pharmacist (Self), Austin, TX
Pilcher, Erin Student (Self), Austin, TX
Rapp V, Charles Pharmacist Intern (Self), Austin, TX
Reagan, Karen (Walgreens), Austin, TX
Rumbellow, Sarah Pharmacist Student Intern (Self), Austin, TX
Self, Kaylee Pharmacy Student (Self), Austin, TX
Soto, Melissa Pharmacy Student (Self), Austin, TX
Su, Christine Pharmacist Intern (Self), Austin, TX
Suddhi, Rock Student Pharmacist (Self), Austin, TX
Wise, Caitlin Student Pharmacist (Self), Austin, TX
Wise, Teresa Student Pharmacist (Self), Pearland, TX
Wright, Michael Executive Director (Texas Pharmacy Business Council), Austin, TX
ON:
Robinson, Mari Executive Director (Texas Medical Board), Austin, TX
WITNESS LIST
Health & Human Services
April 29, 2015 8:00 AM
FOR:
Barillas, Katherine Director of Child Welfare Policy (also providing written testimony)
(One Voice Texas), Houston, TX
Bryant, Rebecca Youth in Foster Care (Youth Leadership Council), Austin, TX
Rutan, Reyna (Self), Austin, TX
Registering, but not testifying:
FOR:
Brauer, Andrea Early Education Policy Associate (Texans Care for Children), Austin, TX
Crockett, Sarah Public Policy Coordinator (Texas CASA), Austin, TX
Kimberly, Knox VP Govt and Corp. Relations (Upbring), Austin, TX
Kreager, John Policy Fellow (Texas Criminal Justice Coalition), Austin, TX
Nichols, Lee Communications Dir. (TexProtects), Austin, TX
Posey, Jake (Texas Coalition of Homes for Children), Austin, TX
Schauer, Tim Policy Advisor (Harris County Healthcare Alliance), Houston, TX
Smith, Casey Policy Associate (United Ways of Texas), Austin, TX
Vogel, Alicia Legislative Intern (National Association of Social Workers - Texas Chapter),
Austin, TX
ON:
Hendricks, Elisa Director, Office of the Ombudsman (Health and Human Services
Commission), Austin, TX
Sims, Jennifer Deputy Commissioner (Department of Family and Protective Services),
Austin, TX
FOR:
Brauer, Andrea Early Education Policy Associate (also providing written testimony)
(Texans Care for Children), Austin, TX
Frandsen, Barbara Retired (also providing written testimony) (League of Women Voters of
Texas), Austin, TX
Gonzales, Earlene Director / President (UTSA Child Development Center / Texas AEYC),
San Antonio, TX
Mace, Stephanie Director of Public Policy (also providing written testimony) (United Way
of Metropolitan Dallas), Dallas, TX
Ross, Sul VP of Programs (also providing written testimony) (Collaborative for Children),
Houston, TX
Rowland, Audrey Consultant (Directors), Fort Worth, TX
Rubin, Melanie Director (also providing written testimony) (Dallas Early Education
Alliance), Dallas, TX
Summerville, Cody Early Childhood Educator (also providing written testimony) (Self),
Austin, TX
Taylor, Jackie Trainer / Consultant (also providing written testimony) (Self), Austin, TX
Von Haefen, Katherine Senior Program Manager (United Way of Greater Houston),
Houston, TX
Webster, Vicki (Self)
WITNESS LIST
Health & Human Services
April 29, 2015 8:00 AM
AGAINST:
Altobelli, Joan (also providing written testimony) (Texas Licensed Child Care
Association), Austin, TX
Fincher, David President (also providing written testimony) (Self; National Child Care
Coalition), Mesquite, TX
Hutson, Brian Chad Owner (Certain Texas Preschools), Meadows Place, TX
Hutson, Lonnie (Self), Sugar Land, TX
Olges, Todd Owner (Child Care Provider), Humble, TX
Smith, Pat (Child Care Providers), Austin, TX
ON:
Morris, Paul Asst. Comm. Child Care Licensing (Department of Family and Protective
Services), Austin, TX
Registering, but not testifying:
FOR:
Blankemeier, Anne Preschool Teacher 6 years (Circle C Child Development Center),
Austin, TX
Carriker, Terri (Self), Austin, TX
Crockett, Sarah Public Policy Coordinator (Texas CASA), Austin, TX
Davis, Shawna Parent (Self), Haslet, TX
Hayes, Patricia Consultant (Texas Head Start Association), Austin, TX
Houston, Joshua General Counsel (Texas Impact), Austin, TX
Kenderdine, Marshall Consultant (Texas Partnership for Out of School Time (TXPOST)),
Austin, TX
Kubala, Sheryl Mom (Self), Austin, TX
Mattingly, Heather Site Director (Rainbow Station), San Antonio, TX
Morrison, Susan Board Member (League of Women Voters - Texas), Austin, TX
Nichols, Lee Comms. Dir. (TexProtects), Austin, TX
Otchis, Nina (Self), Round Rock, TX
Sanders, Katie (Self), Weir, TX
Shaw, Dan (Self), Fort Worth, TX
Smith, Casey Policy Associate (United Ways of Texas), Austin, TX
Toney, Sarajane (Self), Austin, TX
Travis, Clayton Policy Coordinator (Texas Pediatric Society), Austin, TX
Whitty, Karen (Self), Austin, TX
Zatopek, Audrey Program Director (Rainbow Station), San Antonio, TX
AGAINST:
Ahrens, Paul Owner (Charlton House Kids LP), Katy, TX
Bertoni, Dan (Self), Yoakum, TX
Carroll, John Owner (Kids R Kids Learning Academy), Sugar Land, TX
Cloutier, Matthew President (MJC Holding Co, Inc.), Frisco, TX
Dryman, Keri Child Caregiver (Self), Rockwall, TX
Evans, Christopher Owner Pre School (Self), Magnolia, TX
Gilbert, Mercedes Alicia (Self), Georgetown, TX
WITNESS LIST
Health & Human Services
April 29, 2015 8:00 AM
Hutson, Ronnie (Self), Katy, TX
Jones, Stace Administrator (Learning Tree Children's Academy (Lubbock)), Lubbock, TX
Jones, Thomas President / CEO (Christian Preschool Centers (Lubbock)), Lubbock, TX
Khosravian, Rustom President (Private Pre-K (Kids R Kids)), Missouri City, TX
Kilgore, Kevin (Self), Kingwood, TX
Kretzer, Lisa Regional Supervisor (Stepping Stone School), Austin, TX
Lacava, Daniel Owner (Angel's Care and Learning Center), Austin, TX
LaFon, Rickie Owner / Dir. (Sunrise Learning Center), McKinney, TX
Oliver, James Maintenance (Kids R Kids), Round Rock, TX
Oliver, Marsha (Self), Pflugerville, TX
Parker, Debbra Owner / Executive Director (Kids Campus Learning Center), Austin, TX
Poe, Kurt (Self), Georgetown, TX
Raney, Christina (Self), Georgetown, TX
Reitz, Amber Owner (Kids R Kids), Richmond, TX
Rhodes, Colby (Self), Alba, TX
Sample, Molly Owner (Time to Grow Learning Centers), Mansfield, TX
Sample, William Owner (Time To Grow Learning Centers), Arlington, TX
Watson, Susan Vice President (Stepping Stone School), Austin, TX
ON:
Biscoe, Laurie Director, Workforce Programs (Texas Workforce Commission), Austin, TX
Providing written testimony:
FOR:
Englehardt, Joanna Assistant Instructor (Self), Austin, TX
FOR:
Edmond, Jane Physician (Texas Ophthalmological Association), Austin, TX
McManaman, Dennis Retired Deputy Sheriff (Self), Amarillo, TX
Pierce, Jack MD (Texas Ophthalmological Association), Austin, TX
AGAINST:
Lucas, Tommy President (Texas Optometric Association), Killeen, TX
ON:
Kloeris, Chris Executive Director (Texas Optometry Board), Austin, TX
Robinson, Mari Executive Director (Texas Medical Board), Austin, TX
Registering, but not testifying:
FOR:
Bowes, Harrison Dr. (Texas Ophthalmology Association), San Antonio, TX
Capelo, Jaime (Coalition for Patient Safety), Austin, TX
Daftarian, Soheil Dr. (TOA), Lubbock, TX
Finch, Dan Director, Legislative Affairs (Texas Medical Association), Austin, TX
Gicheru, Sidney Physician (Texas Ophthalmological Association), Austin, TX
Hillert, Bobby Executive Director (Texas Orthopaedic Association), Austin, TX
Reed, Rachael Executive Director (Texas Ophthalmological Association), Austin, TX
WITNESS LIST
Health & Human Services
April 29, 2015 8:00 AM
Reynolds, David Executive Director (Texas Osteopathic Medical Association), Austin, TX
Travis, Clayton Policy Coordinator (Texas Pediatric Society), Austin, TX
AGAINST:
Avery, Brenda (Bj) Executive Director (Texas Optometric Association), Austin, TX
Nguyen, Steve Optometrist (Self), Irving, TX
FOR:
Hotze, Steven President (Self; Texans for Patients and Physicians Rights), Katy, TX
Schlafly, Andrew General Counsel (Association of American Physicians and Surgeons),
Far Hills, NJ
AGAINST:
Bailey, Charles General Counsel (Texas Hospital Association), Austin, TX
Lockhart, Lolly Ph.D., RN. (Texas Nurses Association), Pflugerville, TX
Weltge, Arlo (also providing written testimony) (Texas Medical Association), Bellaire, TX
ON:
Robinson, Mari Executive Director (Texas Medical Board), Austin, TX
Registering, but not testifying:
AGAINST:
Walsh, Robert (Self), Round Rock, TX
Willmann, James (Nursing Legislative Agenda Coalition), Austin, TX
ON:
McNeese, Margaret (Texas Medical Board), Austin, TX
FOR:
McKinley, Toni (Self), Austin, TX
ON:
Hays, Susan Legislative Counsel (also providing written testimony) (NARAL - Pro-Choice
Texas), Austin, TX
Hughes, Allison Rules Coordinator (Dept. of State Health Services), Austin, TX
Seago, John Legislative Director (Texas Right to Life), Austin, TX
Registering, but not testifying:
FOR:
Allwein, Ruth (Texas Alliance for Life), Austin, TX
Brown, Leah Communications (Texas Alliance for Life), Austin, TX
Groff, Erin Staff Attorney (Texas Alliance for Life), Austin, TX
Patterson, Jeff Executive Director (Texas Catholic Conference), Austin, TX
Pojman, Joe Executive Director (Texas Alliance for Life), Austin, TX
Williams, Terry Board Member (Texas Alliance for Life), San Marcos, TX
AGAINST:
Marques, Rebecca Public Strategist (ACLU of Texas), Houston, TX
WITNESS LIST
Health & Human Services
April 29, 2015 8:00 AM
FOR:
LaVallo, Richard Legal Director (Disability Rights Texas), Austin, TX
Registering, but not testifying:
FOR:
Bearden, Chase Director Advocacy (Coalition of Texans with Disabilities), Austin, TX
Carlton, Belinda Public Policy Specialist (Texas Council for Developmental Disabilities),
Austin, TX
Graziani, Cate (Mental Health America of Texas), Austin, TX
Herman, Guy Probate Judge (Statutory Probate Courts of Texas), Austin, TX
Kerbow, Kendra President (Texas Advocates), Austin, TX
Lavelle, Tanya Senior Manager of Advocacy (Easter Seals Central Texas), Austin, TX
Litzinger, Linda Parent (Self), Austin, TX
Mayeaux, Ginger Advocacy Specialist (The Arc of Texas), Austin, TX
Morrison, Susan Attorney (Self), Austin, TX
Otchis, Nina (Self), Round Rock, TX
Richard, Kathryn (Daughter), Austin, TX
Sanchez, Joe Associate State Director (AARP Texas), Austin, TX
Steensma, Amy (Self), Round Rock, TX
Steensma, Jean (Self), Round Rock, TX
Steensma, Joe (Self), Round Rock, TX
Suehs, Thomas Policy Consultant (Self), Austin, TX
Toney, Sarajane (Self), Austin, TX
AGAINST:
Kidd, Tom (Self), Austin, TX
FOR:
Norris, Bryan Captain (San Antonio Professional Firefighters), New Braunfels, TX
Registering, but not testifying:
FOR:
Crandell, Brittany Firefighter / Registered Nurse / Paramedic (Emergency Medical
Services), Magnolia, TX
DeBower, Courtney Legislative Communications Coordinator (Texas EMS, Trauma and
Acute Care Foundation), Austin, TX
DeLanghe, Wayne Firefighter / Paramedic (San Antonio Professional Firefighters - Local
624), San Antonio, TX
Dodson, Jill Paramedic (Emergency Medical Services), Cleveland, TX
Finch, Dan Director, Legislative Affairs (Texas Medical Association), Austin, TX
Kerker, Juliana (Texas College of Emergency Physicians), Austin, TX
Lansford, Erika Paramedic (Emergency Medical Services), Conroe, TX
Parker, Rebekah Emergency Medical Technician (Emergency Medical Services), Onalaska,
TX
Sprinkle, GK Public Policy Consultant (Texas Ambulance Association), Austin, TX
WITNESS LIST
Health & Human Services
April 29, 2015 8:00 AM
Weir, Leonard (Self), San Antonio, TX
Whitt, Matthew Licensed Paramedic (Emergency Medical Services), Universal City, TX
ON:
Schmider, Joseph State EMS Director (DSHS), Austin, TX


MarkCalc
What's the subject (e.g."Math")?
What is your "Knowledge and Understanding" mark (e.g."3/4")?
What is your "Thinking" mark?
What is your "Communication" mark?
What is your "Application" mark?
Send answers


Optimization of Onnx Models for TensorRT Execution
Introduction
TensorRT is utilized for running deep learning models on Nvidia GPUs efficiently. TensorRT supports parsing Onnx and Caffe models. In addition to TensorRT, trtexec which is a tool for using TensorRT without any development environment provides serialized engines from Onnx, Caffe or UFF models and benchmarking of networks. Further information can be obtained on Tensorrt documentation.
In this post, optimization of Onnx models for TensorRT execution for faster inference and efficient memory usage will be investigated by using trtexec tool.
Trtexec(also TensorRT) has different configuration options for building models(serializing) and running inference. Fistly, we will examine building options for efficient models.
Build Options
A. TacticSource
It provides tactics for TensorRT for efficient inference. Nevertheless, it leads to incrase in GPU memory. Therefore, if you need smaller memory allocation, available tactic sources should be disabled. Available options:
- CUBLAS
- CUBLAS_LT
- CUDNN
- EDGE_MASK_CONVOLUTIONS
Usage:
trtexec --onnx=model.onnx --saveEngine=model.plan
--tacticSources=+CUBLAS,-CUBLAS_LT,-CUDNN,+EDGE_MASK_CONVOLUTIONS
+:enable selected tactics
-:disable selected tactics
B. fp16
It enables float16 support in addition to float32. Weights will be converted to fp16 if fp16 flag is enabled and layers are supported. It decreases size of serialized engine file and accelerates inference.
Usage:
trtexec --onnx=model.onnx --saveEngine=model.plan --fp16
There are many other available options i.e. int8, sparsity, maxBatch etc. Available options can be listed via
trtexec --help
Inference Options
A. noDataTransfers
It disables DMA transfers to and from device and decreases GPU speed fluactuations.
Usage:
trtexec --onnx=model.onnx --saveEngine=model.plan --noDataTransfers
B. useSpinWait
It decreases synchronization time and GPU speed fluactuations but increases CPU usage and power.
Usage:
trtexec --onnx=model.onnx --saveEngine=model.plan --useSpinWait
C. streams
It instantiates N engines to use concurrently and increases throughput per seconds(tps). However, it increas a bit of GPU memory usage.
Note: It should be set 1 which is default value if dynamic batch size is used in models.
Usage:
trtexec --onnx=model.onnx --saveEngine=model.plan --streams=2
D. useCudaGraph
It enables CUDA graph to capture engine execution and then launches inference. It increases Gpu runtime speed greatly.
Usage:
trtexec --onnx=model.onnx --saveEngine=model.plan --useCudaGraph
There are many other available options i.e. threads, exposeDMA etc. Available options can be listed via
trtexec --help


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I'm from Mississauga, Ontario. I started my undergraduate program in September 2016 for Computer Science at the University of Toronto, St. George campus. I plan on participating in the Professional Experience Year (PEY) Program, so I'm probably going to be in the class of 2021.
I enjoy gaming in my free time. I've recently been playing:


{% load static %}
Just another fine responsive site template designed by HTML5 UP and released for free under the Creative Commons.
{{project.concept}}


With their signaure blend of old time, country, and bluegrass tunes, Hay Babes burst onto the Bay Area music scene in 2013. Boasting the double threat of Wendy and Megan at the helm, and backed by semi-vagrant callus-handed Buckaroos, Hay Babes will knock politely on the door of your heart then pull a Winchester and force entry the moment you crack the door.
Give us a holler at hello@haybabes.com


|
Unity Overlay Toolkit
|
This represents a networked player. More...
Public Member Functions | |
| PlayerController () | |
| override string | ToString () |
| String representation of the player objects state. More... | |
Public Attributes | |
| short | playerControllerId = -1 |
| The local player ID number of this player. More... | |
| NetworkIdentity | unetView |
| The NetworkIdentity component of the player. More... | |
| GameObject | gameObject |
| The game object for this player. More... | |
Static Public Attributes | |
| const int | MaxPlayersPerClient = 32 |
| The maximum number of local players that a client connection can have. More... | |
Properties | |
| bool | IsValid [get] |
| Checks if this PlayerController has an actual player attached to it. More... | |
This represents a networked player.
|
inline |
|
inline |
String representation of the player objects state.
| GameObject UnityEngine.Networking.PlayerController.gameObject |
The game object for this player.
|
static |
The maximum number of local players that a client connection can have.
| short UnityEngine.Networking.PlayerController.playerControllerId = -1 |
The local player ID number of this player.
The HLAPI treats players and clients as separate GameObjects. In most cases, there is a single player for each client, but in some situations (for example, when there are multiple controllers connected to a console system) there might be multiple player GameObjects for a single connection. When there are multiple players for a single connection, use the playerControllerId property to tell them apart. This is an identifier that is scoped to the connection, so that it maps to the id of the controller associated with the player on that client.
| NetworkIdentity UnityEngine.Networking.PlayerController.unetView |
The NetworkIdentity component of the player.
|
get |
Checks if this PlayerController has an actual player attached to it.


B.Tech. IV (CO) Semester –8 |
L |
T |
P |
C |
CO406 : NETWORK & SYSTEM SECURITY(EIS- I) |
3 |
0 |
0 |
3 |
(06 Hours) |
||||
Security and Attacks – Cryptography & Cryptanalysis, Services and mechanisms - Classical encryption techniques. |
||||
(16 Hours) |
||||
Symmetric key – DES, AES, Triple DES - block cipher modes of operation |
||||
(08 Hours) |
||||
Backups - Protecting against programmed threats, intruders, threats, viruses and worms - Physical security - Personnel security. Security issues in OS, Trusted Systems. |
||||
(08 Hours) |
||||
Firewalls, IP security - Web security, Electronic Mail Security, IPSec, SSL, TLS, |
||||
(04 Hours) |
||||
Cryptographic security tools: Kerberos, SSH |
||||
(06 Hours) |
||||
IDS overview |
||||
(Total Contact Time: 42 Hours) |
||||
BOOKS RECOMMENDED |
||||
1). WILLIAM STALLINGS, "Cryptography and Network Security – Principles and Practice", 4/E, Pearson Education, 2000 |


Disney’s The Little Mermaid remake finds its Prince Eric
British-American actor Jonah Hauer-King has reportedly been cast as Prince Eric in Disney’s upcoming live-action remake of The Little Mermaid.
The 24-year-old will star opposite US singer Halle Bailey, who is playing Ariel, according to multiple reports.
Pop star Harry Styles had been heavily linked to playing Prince Eric, but he turned down the role in August.
Hauer-King, whose mother is American and whose father is British, previously starred as Laurie in the BBC’s 2017 adaption of Little Women and also appears in war drama World On Fire.
His film credits include A Dog’s Way Home and Postcards From London.
Disney previously announced Bailey, who is in musical duo Chloe X Halle with her sister Chloe, had been cast as mermaid princess Ariel following an “extensive search”.
The Little Mermaid will feature songs from the 1989 animated original by Alan Menken and Howard Ashman, as well as new songs by Menken (music) and Lin-Manuel Miranda (lyrics).
Filmmaker Rob Marshall, whose credits include Mary Poppins Returns, will direct the film.
Production on The Little Mermaid is expected to begin in early 2020.


Selected Results:
For further information please see our paper.
| Method | Accuracy ± SE | AUC |
|---|---|---|
| Human Performance 1 | 94.19 | 97.8 |
| ∑(x1'x2), HOG 1 | 56.58 ± 0.80 | 61.6 |
| ∑√(x1'x2), HOF 1 | 56.82 ± 0.57 | 58.5 |
| ∑√(x1'x2), HNF 1 | 58.87 ± 0.89 | 62.1 |
| 12-sim, HOG+HOF+HNF 1 | 60.88 ± 0.77 | 65.3 |
| OSSML 2 | 64.25 ± 0.70 | 69.1 |
| MIP 3 | 64.62 ± 0.80 | 70.4 |
| MIP+HOG+HOF+HNF 3 | 65.45 ± 0.80 | 71.9 |
ROC Curves:
Creating ROC Curves:
To get access to the data, please fill in the ftp form in the downloads tab.
The following gnuplot script can be used to generate the ROC curves:
Create_ASLAN_ROC.p - link to ftp site
The script's input is a text file for each method.
Additional methods can be added to the script by adding their text files to the script command.
The lines in each text file are points on the ROC curve.
The format is:
[average true positive rate] [average false positive rate]
The current ROC files are available here: - link to ftp site
Human_Survey.txt
HOG_best_sim.txt
HOF_best_sim.txt
HNF_best_sim.txt
STIP_12_sim.txt
OSSML_best.txt
MIP.txt
MIP_STIP.txt
Methods:
- O. Kliper-Gross, T. Hassner and L. Wolf
The Action Similarity Labeling Challenge.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 34(3), March 2012.
[PDF] - O. Kliper-Gross, T. Hassner and L. Wolf
The One Shot Similarity Metric Learning for Action Recognition.
1st International Workshop on Similarity-Based Pattern Analysis and Recognition (SIMBAD), Sep. 2011
[PDF] - O. Kliper-Gross, Y. Gurovich, T. Hassner and L. Wolf
Motion Interchange Patterns for Action Recognition in Unconstrained Videos.
12th European Conference on Computer Vision (ECCV), Oct. 2012
[PDF] [Project and Code]


TBuffer class
function NextChar: TBuffChar; {$ifdef UseInline} inline; {$endif}
The NextChar method returns the next unicode character.
One or more bytes might be consumed while retrieving the next unicode character. The Position is advanced accordingly.


We're sorry but the HKEOS Treasure Hunter doesn't work properly without JavaScript enabled. Please enable it to continue.


---
---
Numderline Test
Numderline
Numderline is a font patcher that uses OpenType font shaping trickery to make it easier to visually parse large numbers. It has multiple variants for different preferences, fonts and contexts.
I (Tristan Hume) was inspired to build this by my job at Jane Street involving staring at a lot of large numbers, mostly latencies in nanoseconds, and wanting to pick out larger quantities like milliseconds and microseconds.
See the code on Github to contribute or patch fonts of your choice.
{% for version in site.data.versions %}
{{ version.title }}
{{ version.desc }}
{% if version.set_name == 'nommas' %}
{% else %}
{% endif %}
Download (hover to preview):
{% assign faces = site.data.manifest[version.set_name] %}
{% for face in faces %}
{{face[0]}}
{% endfor %}
{% endfor %}
Notes
- These fonts only work in applications with proper font shaping support. This includes browsers, many native apps and the Kitty terminal. Unfortunately some apps that support basic ligatures don't support the fancy shaping features I use, including Sublime Text 3 and iTerm2. Other apps like Emacs and most terminals don't support shaping at all.
- The flagship underlining variant is my favorite, but it only works on fonts with a sufficiently wide, low and thin underscore like DejaVu Sans Mono. This could be fixed by synthesizing an underline contour for a font instead of using the underscore character, contributions welcome!
- "SauceCode" variants are based on the Source Code Pro font, but the SIL Open Font License prohibits derived fonts from using the same name.
- Unfortunately I couldn't get patching of fonts with existing ligatures to preserve the original ligatures, although it's probably possible with some debugging of arcane font stuff.
- All data in the example table is based on a random generation script, not any real data.


Cheesecake Order Form
Quantity Topping
1
2
3
Plain
Cherry
Chocolate
Notes:
Orders for
Jan
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
11 cherry
17 choclate
31 plain


Metryki RED dla aplikacji REST
z Prometheus + AlertManagera
Wojciech Barczyński<EMAIL_ADDRESS>Wojciech Barczyński
- Senior Software Engineer - SMACC (FinTech/AI)
- Before:
System Engineer Lyke
- Before:
1000+ nodes, 20 data centers with Openstack
- Interests:
Working software
- Hobby:
teaching software engineering
Why?
Monolit ;)
Why?
Microservices ;)
Centralized Logging
- Usually much too late
- Post-mortem
- Hard to find the needle
- Like a debugging
Jak znależć właściwe metryki?
My Weapons of choice
- Prometheus
- Alertmanager
- Grafana
- Not covered here: OpsGenie, StatusCake
Monitoring ingress
- --web.metrics.prometheus
Summary
- Monitoring saves your time
- Checking logs Kibana to check whether your component works is like debuging vs having tests
- Logging -> high TCO
Use Labels in Alert Rules
ALERT ProductionAppServiceInstanceDown
IF up { environment = "production", app =~ ".+"} == 0
FOR 4m
ANNOTATIONS {
summary = "Instance of {{$labels.app}} is down",
description = " Instance {{$labels.instance}} of app {{$labels.app}} has been down for more than 4 minutes"
}
see ../src/prometheus/etc/alert.rules
Use Labels in Alert Routing
Call somebody if the label is severity=page
:
---
group_by: [cluster]
# If an alert isn't caught by a route, send it to the pager.
receiver: team-pager
routes:
- match:
severity: page
receiver: team-pager
receivers:
- name: team-pager
opsgenie_configs:
- api_key: $API_KEY
teams: example_team
see ../src/alertmanager/*.conf
Warsaw Office in BL Astoria:
Prometheus + K8S = :)
Labels are propagated from k8s to prometheus
Integration with Prometheus
cat memcached-0-service.yaml
---
apiVersion: v1
kind: Service
metadata:
name: memcached-0
labels:
app: memcached
kubernetes.io/name: "memcached"
role: shard-0
annotations:
prometheus.io/scrape: "true"
prometheus.io/scheme: "http"
prometheus.io/path: "metrics"
prometheus.io/port: "9150"
spec:
type: NodePort
ports:
- port: 11211
targetPort: 11211
selector:
app: memcached
role: shard-0
https://github.com/skarab7/kubernetes-memcached


Nowadays, if I understand these things correctly, long distance runners rehydrate themselves by glugging lots of water during a race. Such namby-pamby methods were alien to the doughty amateurs who ran the twenty-six mile Marathon at the 1908 Olympic Games in London. Among their refreshments along the route were muscatel grapes, calves' foot jelly with lemon, new-laid eggs soaked in tea, orange segments, brandy, champagne, and small doses of strychnine.
So I learned from The First London Olympics 1908 by Rebecca Jenkins (2008)


public class ReplicationMutableConfig
extends java.lang.Object
implements java.lang.Cloneable, java.io.Serializable
ReplicatedEnvironment
has been created. ReplicationMutableConfig
is
a parameter to Environment.setMutableConfig(com.sleepycat.je.EnvironmentMutableConfig)
and is
returned by Environment.getMutableConfig()
.| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
ALLOW_ARBITER_ACK
Boolean flag if set to true, an Arbiter may acknowledge a transaction if
a replication node is not available.
|
static java.lang.String |
DESIGNATED_PRIMARY
Identifies the Primary node in a two node group.
|
static java.lang.String |
ELECTABLE_GROUP_SIZE_OVERRIDE
An escape mechanism to modify the way in which the number of electable
nodes, and consequently the quorum requirements for elections and commit
acknowledgments, is calculated.
|
static java.lang.String |
HELPER_HOSTS
The string identifying one or more helper host and port pairs in
this format:
|
static java.lang.String |
LOG_FLUSH_TASK_INTERVAL
Deprecated.
as of 7.2. Replaced by
EnvironmentConfig.LOG_FLUSH_SYNC_INTERVAL . For compatibility with
earlier releases, if this parameter is specified its value will be used
as the flush sync interval; in this case, EnvironmentConfig.LOG_FLUSH_SYNC_INTERVAL may not also be specified. |
static java.lang.String |
NODE_PRIORITY
The election priority associated with this node.
|
static java.lang.String |
REPLAY_DB_HANDLE_TIMEOUT
The maximum amount of time that an inactive database handle is kept open
during a replay of the replication stream.
|
static java.lang.String |
REPLAY_MAX_OPEN_DB_HANDLES
The maximum number of most recently used database handles that
are kept open during the replay of the replication stream.
|
static java.lang.String |
RUN_LOG_FLUSH_TASK
Deprecated.
as of 7.2. Log flushing can be disabled by setting
EnvironmentConfig.LOG_FLUSH_SYNC_INTERVAL and EnvironmentConfig.LOG_FLUSH_NO_SYNC_INTERVAL to zero. For compatibility
with earlier releases, if this parameter is specified as false, no log
flushing will be performed; in this case, EnvironmentConfig.LOG_FLUSH_SYNC_INTERVAL and EnvironmentConfig.LOG_FLUSH_NO_SYNC_INTERVAL may not also be specified. |
| Constructor and Description |
|---|
ReplicationMutableConfig()
Create a ReplicationMutableConfig initialized with the system
default settings.
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
getConfigParam(java.lang.String paramName)
Return the value for this parameter.
|
boolean |
getDesignatedPrimary()
Determines whether this node is the currently designated Primary.
|
int |
getElectableGroupSizeOverride()
Returns the value associated with the override.
|
java.lang.String |
getHelperHosts()
Returns the string identifying one or more helper host and port pairs in
this format:
|
int |
getNodePriority()
Returns the election priority associated with the node.
|
ReplicationMutableConfig |
setConfigParam(java.lang.String paramName,
java.lang.String value)
Set this configuration parameter with this value.
|
ReplicationMutableConfig |
setDesignatedPrimary(boolean isPrimary)
If
isPrimary is true, designate this node as a Primary. |
ReplicationMutableConfig |
setElectableGroupSizeOverride(int override)
Sets the size used to determine the number of electable nodes.
|
ReplicationMutableConfig |
setHelperHosts(java.lang.String hostsAndPorts)
Identify one or more helpers nodes by their host and port pairs in this
format:
|
ReplicationMutableConfig |
setNodePriority(int priority)
Sets the election priority for the node.
|
java.lang.String |
toString()
List the configuration parameters and values that have been set
in this configuration object.
|
public static final java.lang.String ALLOW_ARBITER_ACK
| Name | Type | Mutable | Default |
| "je.rep.allowArbiterAck" | Boolean | Yes | True |
public static final java.lang.String DESIGNATED_PRIMARY
| Name | Type | Mutable | Default |
| "je.rep.designatedPrimary" | Boolean | Yes | False |
public static final java.lang.String ELECTABLE_GROUP_SIZE_OVERRIDE
When this parameter is set to a non-zero value at a member node, the member will use this value as the electable group size, instead of using the metadata stored in the RepGroup database for its quorum calculations. This parameter's value should be set to the number of electable nodes known to be available. The default value is zero, which indicates normal operation with the electable group size being calculated from the metadata.
Please keep in mind that this is an escape mechanism, only for use in exceptional circumstances, to be used with care. Since JE HA is no longer maintaining quorum requirements automatically, there is the possibility that the simple majority of unavailable nodes could elect their own Master, which would result in a diverging set of changes to the same environment being made by multiple Masters. It is essential to ensure that the problematic nodes are in fact down before making this temporary configuration change. See the discussion in Appendix: Managing a Failure of the Majority.
| Name | Type | Mutable | Default |
| "je.rep.electableGroupSizeOverride" | Integer | Yes | 0 |
public static final java.lang.String NODE_PRIORITY
A priority of zero is used to ensure that this node is never elected
master, even if it has the most up to date log files. Note that the node
still votes for a Master and participates in quorum requirements. Please
use this option with care, since it means that some node with less
current log files could be elected master. As a result, this node would
be forced to rollback committed data and must be prepared to handle any
RollbackException
exceptions that might be thrown.
| Name | Type | Mutable | Default | Minimum | Maximum |
| "je.rep.node.priority" | Integer | Yes | 1 | 0 | Integer.MAX_VALUE |
RollbackException
,
Constant Field Valuespublic static final java.lang.String RUN_LOG_FLUSH_TASK
EnvironmentConfig.LOG_FLUSH_SYNC_INTERVAL
and EnvironmentConfig.LOG_FLUSH_NO_SYNC_INTERVAL
to zero. For compatibility
with earlier releases, if this parameter is specified as false, no log
flushing will be performed; in this case, EnvironmentConfig.LOG_FLUSH_SYNC_INTERVAL
and EnvironmentConfig.LOG_FLUSH_NO_SYNC_INTERVAL
may not also be specified.Durability.COMMIT_NO_SYNC
. The default for this behavior is true.
When using Durability.COMMIT_NO_SYNC
, continued activity will
naturally cause the steady flush of committed transactions, but a pause
in activity may cause the latest commits to stay in memory. In such a
case, it is unlikely but possible that all members of the replication
group have these last transactions in memory and that no members have
persisted them to disk. A catastrophic failure of all nodes in the
replication group would cause a loss of these transactions, in this
unlikely scenario. This background flush task will reduce such a
possibility.
Note that enabling this feature when using Durability.COMMIT_NO_SYNC
, does not constitute a guarantee that
updates made by a transaction are persisted. For an explicit guarantee,
transactions should use Durability.COMMIT_SYNC
or Durability.COMMIT_WRITE_NO_SYNC
. These more stringent, persistent
Durability options can be set at the environment or per-transaction
scope. Using one of these Durability settings for a given transaction
will also flush all commits that occurred earlier in time.
| Name | Type | Mutable | Default |
| "je.rep.runLogFlushTask" | Boolean | No | true |
public static final java.lang.String LOG_FLUSH_TASK_INTERVAL
EnvironmentConfig.LOG_FLUSH_SYNC_INTERVAL
. For compatibility with
earlier releases, if this parameter is specified its value will be used
as the flush sync interval; in this case, EnvironmentConfig.LOG_FLUSH_SYNC_INTERVAL
may not also be specified.
| Name | Type | Mutable | Default | Minimum | Maximum |
| "je.rep.logFlushTaskInterval" | Duration | Yes | 5 min | 1 s | -none- |
public static final java.lang.String REPLAY_MAX_OPEN_DB_HANDLES
| Name | Type | Mutable | Default | Minimum | Maximum |
| "je.rep.replayMaxOpenDbHandles" | Int | Yes | 10 | 1 | -none- |
public static final java.lang.String HELPER_HOSTS
hostname[:port][,hostname[:port]]*
| Name | Type | Mutable | Default |
| "je.rep.helperHosts" | String | Yes | "" |
public static final java.lang.String REPLAY_DB_HANDLE_TIMEOUT
| Name | Type | Mutable | Default | Minimum | Maximum |
| "je.rep.replayOpenHandleTimeout" | Duration | No | 30 sec | 1 sec | -none- |
public ReplicationMutableConfig()
public ReplicationMutableConfig setDesignatedPrimary(boolean isPrimary)
isPrimary
is true, designate this node as a Primary. This
setting only takes effect for electable nodes. The application must
ensure that exactly one electable node is designated to be a Primary at
any given time. Primary node configuration is only a concern when the
group has two electable nodes, and there cannot be a simple
majority. See the overview on configuring two
node groups.isPrimary
- true if this node is to be made the Primarypublic boolean getDesignatedPrimary()
public int getElectableGroupSizeOverride()
ELECTABLE_GROUP_SIZE_OVERRIDE
public ReplicationMutableConfig setElectableGroupSizeOverride(int override)
override
- the number of electable nodes. A value of zero means
that the number of electable nodes is determined as usual, that is, from
the contents of the group metadata.ELECTABLE_GROUP_SIZE_OVERRIDE
public int getNodePriority()
NODE_PRIORITY
public ReplicationMutableConfig setNodePriority(int priority)
A priority of zero is used to ensure that a node is never elected master, even if it has the most current set of files. Please use this option with caution, since it means that a node with less current log files could be elected master potentially forcing this node to rollback data that had been committed.
priority
- the priority to be associated with the node. It must be
zero, or a positive number.NODE_PRIORITY
public java.lang.String getHelperHosts()
hostname[:port][,hostname[:port]]*The port name may be omitted if it's the default port.
public ReplicationMutableConfig setHelperHosts(java.lang.String hostsAndPorts)
hostname[:port][,hostname[:port]]*If the port is omitted, the default port defined by XXX is used.
hostsAndPorts
- the string representing the host and port pairs.public ReplicationMutableConfig setConfigParam(java.lang.String paramName, java.lang.String value) throws java.lang.IllegalArgumentException
paramName
- the configuration parameter name, one of the String
constants in this classvalue
- the configuration value.java.lang.IllegalArgumentException
- if the paramName or value is invalid.public java.lang.String getConfigParam(java.lang.String paramName) throws java.lang.IllegalArgumentException
paramName
- a valid configuration parameter, one of the String
constants in this class.java.lang.IllegalArgumentException
- if the paramName is invalid.public java.lang.String toString()
toString
in class java.lang.Object
Copyright (c) 2002, 2017 Oracle and/or its affiliates. All rights reserved.


Want to stay fit and have a toned body? Take a cue from Kasautii Zindagii Kay 2’s Erica Fernandes
The actor who recently bagged the ‘Female Actor Of The Year' award at the sixth annual Asian Viewers Television Awards, is an inspiration for all those looking to switch to a healthy lifestyle for a fit, toned body.
by Lifestyle DeskFitness is a way of life and setting some major fitness goals is television actor Erica Fernandes, who is currently seen in Kasautii Zindagii Kay 2. The actor who recently bagged the ‘Female Actor Of The Year’ award at the sixth annual Asian Viewers Television Awards (AVTA), UK’s only event to celebrate the success of Asian television, is an inspiration for all those looking to switch to a healthy lifestyle for a fit, toned body.
In a post, she mentioned, “Exercise not only changes your body. It changes your mind, your attitude and your mood.” Take a look!
A well-rounded fitness program includes training to improve joint function, bone density, muscle, tendon and ligament strength, as well as aerobic exercise to improve heart and lung fitness, flexibility and balance exercises. From lifting to outdoor strength training, here is what the actor does which has helped her achieve her picture-perfect washboard abs.
Weight lifting and other functional training
While weightlifting increases a lot of stability and strength, it helps burn fat and lose weight as well. It helps you gain a lot of strength and stability for your daily tasks like lifting a heavy bag or moving a heavy object. Other functional training are lunges and squats.
Outdoor workouts
Working out outdoors allows you to gain strength and increases your fresh oxygen intake (provided the air is cleaner). Fernandes seems to be fond of a lot of outdoor stretching and climbing exercises to keep herself fit.
Resistance training
Resistance training which includes resistance bands shaped in the form of a giant rubber band, provide resistance when stretched. They are portable and can be adapted to most workouts. The bands provide continuous resistance throughout a movement. Fernandes can be seen doing it to strengthen her core and tone her body.
Rope and rock climbing
If you wish to develop your grip, rope climbing is a great way to do it. It helps build biceps and upper body while developing physical and mental strength. If performed correctly and under guidance, rope climbing helps develop endurance and ability to master your own weight.
Another way is rock climbing which works on both your upper and lower body muscles. It helps strengthen muscles in the back and arms when pulling oneself up and helps to engage the muscles of the core, quads, and calves for stability. Fernandes also ensures she includes a lot of climbing outdoors.
What do you think?


| property$ - system property information required (valid strings listed below) |
|
SystemProperty () returns the location of a standard system folder, which can be different on every computer. Note that it's not a good idea to play around in a user's Windows or System folder!
Valid parameters are: "tempdir" - Temp folder "systemdir" - System folder "windowsdir" - Windows folder "appdir" - Program Files folder |
|
Print "System folder location: " + SystemProperty ("systemdir")
Print "Windows folder location: " + SystemProperty ("windowsdir") Print "Temp folder: " + SystemProperty ("tempdir") Print "Program was run from " + SystemProperty ("appdir") |


SSH
Play
(current)
Hero Bio
... a website that game that allows to play your favorite super hero!
Super Smash Heroes


Home
work
About
Contact
My Work
←
Fork That Pen!
Stick to the Grid
Stay Sharp
Consistancy is King
25% White Space
Crop it Like its Hot!


How to activate
logging in HeadsetPresenter
In order to understand your specific problem you have been
asked by support to provide a log file from the HeadsetPresenter. This is a
very simple procedure.
- Start
the application and click on the Settings button in the main dialog.
- In
the settings dialog. Hold the CTRL
key and click left mouse button anywhere on the screen.
This message will show:
- Restart
HeadsetPresenter.
- A
new program called SS_Log will start and it will
automatically generate a log file when you use HeadsetPresenter. You do
not need to do anything with the SS_Log
application.
- Now
use the HeadsetPresenter as far as you can up until your problem happens.
- Save
the file in SS_log and send it to support@headsetpresenter.com


MuW201 Tangible Computing
Nayef Al Bastaki
Im a Local studying design in the UAE, I am currently studying Multimedia Design, and Stategic Design management. For this course I would Like to expand my knowledge in the world of coding, creating art and animation using code.
Contents


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Certified professional with 14 years of consulting experience in development and maintenance of enterprise applications. Working for a Fortune 200 consulting firm; his experience spans across more than 50 enterprise projects in several business and technical domains over years.


One of Jest’s philosophies is to provide an integrated “zero-configuration” experience. We want to make it as frictionless as possible to write good tests that are useful. We observed that when engineers are provided with ready-to-use tools, they end up writing more tests, which in turn results in stable and healthy code bases.
One of the big open questions was how to write React tests efficiently. There are plenty of tools such as ReactTestUtils and enzyme. Both of these tools are great and are actively being used. However engineers frequently told us that they spend more time writing a test than the component itself. As a result many people stopped writing tests altogether which eventually led to instabilities. Engineers told us all they wanted was to make sure their components don’t change unexpectedly.
Together with the React team we created a new test renderer for React and added snapshot testing to Jest. Consider this example test for a simple Link component:
import renderer from 'react-test-renderer';
test('Link renders correctly', () => {
const tree = renderer
.create(<Link page="http://www.facebook.com">Facebook</Link>)
.toJSON();
expect(tree).toMatchSnapshot();
});
The first time this test is run, Jest creates a snapshot file that looks like this:
exports[`Link renders correctly 1`] = `
<a
className="normal"
href="http://www.facebook.com"
onMouseEnter={[Function bound _onMouseEnter]}
onMouseLeave={[Function bound _onMouseLeave]}>
Facebook
</a>
`;
The snapshot artifact should be committed alongside code changes. We use
pretty-format
to make snapshots human-readable during code review. On subsequent test
runs Jest will simply compare the rendered output with the previous
snapshot. If they match, the test will pass. If they don’t match, either
the implementation has changed and the snapshot needs to be updated with
jest -u
, or the test runner found a bug in your code that
should be fixed.
If we change the address the Link component in our example is pointing to, Jest will print this output:
Now you know that you either need to accept the changes with
jest -u
, or fix the component if the changes were
unintentional. To try out this functionality, please clone the
snapshot example, modify the Link component and run Jest. We updated the
React Tutorial with a new guide
for snapshot testing.
This feature was built by Ben Alpert and Cristian Carlesso.
By building a test renderer that targets no specific platform we are
finally able to support a full, unmocked version of React Native. We are
excited to launch experimental React Native support for Jest through the
jest-react-native
package.
You can start using Jest with react-native by running
yarn add --dev jest-react-native
and by adding the preset to
your Jest configuration:
Note: the preset currently only implements the minimal set of configuration necessary to get started with React Native testing. We are hoping for community contributions to improve this project. Please try it and file issues or send pull requests!
For Facebook’s native apps we use a system called “snapshot testing”: a snapshot test system that renders UI components, takes a screenshot and subsequently compares a recorded screenshot with changes made by an engineer. If the screenshots don’t match, there are two possibilities: either the change is unexpected or the screenshot can be updated to the new version of the UI component.
While this was the solution we wanted for the web, we also found many problems with such end-to-end tests that snapshot integration tests solve:
Because we believe snapshot testing can be useful beyond Jest we split the feature into a jest-snapshot package. We are happy to work with the community to make it more generic so it can be integrated with other test runners and share concepts and infrastructure with each other.
Finally, here is a quote of a Facebook engineer describing how snapshot testing changed his unit testing experience:
“One of the most challenging aspects of my project was keeping the input and output files for each test case in sync. Each little change in functionality could cause all the output files to change. With snapshot testing I do not need the output files, the snapshots are generated for free by Jest! I can simply inspect how Jest updates the snapshots rather than making the changes manually.” – Kyle Davis working on fjs.
Recently Aaron Abramov has joined the Jest team full time to improve our unit and integration test infrastructure for Facebook’s ads products. For the next few months the Jest team is planning major improvements in these areas:
As always, if you have questions or if you are excited to help out, please reach out to us!


A B C D E F G I K L M N P Q R S T U misc
| AIC.nlrq | Function to compute nonlinear quantile regression estimates |
| AIC.rq | Linear Quantile Regression Object |
| AIC.rqs | Linear Quantile Regression Object |
| AIC.rqss | RQSS Objects and Summarization Thereof |
| akj | Density Estimation using Adaptive Kernel method |
| anova.rq | Anova function for quantile regression fits |
| anova.rqlist | Anova function for quantile regression fits |
| anova.rqs | Anova function for quantile regression fits |
| bandwidth.rq | bandwidth selection for rq functions |
| barro | Barro Data |
| boot.crq | Bootstrapping Censored Quantile Regression |
| boot.rq | Bootstrapping Quantile Regression |
| boot.rq.mcmb | Bootstrapping Quantile Regression |
| boot.rq.pwy | Bootstrapping Quantile Regression |
| boot.rq.spwy | Bootstrapping Quantile Regression |
| boot.rq.wxy | Bootstrapping Quantile Regression |
| boot.rq.xy | Bootstrapping Quantile Regression |
| Bosco | Boscovich Data |
| ChangeLog | FAQ and ChangeLog of a package |
| CobarOre | Cobar Ore data |
| coef.crq | Functions to fit censored quantile regression models |
| coef.nlrq | Function to compute nonlinear quantile regression estimates |
| combos | Ordered Combinations |
| critval | Hotelling Critical Values |
| crq | Functions to fit censored quantile regression models |
| crq.fit.pen | Functions to fit censored quantile regression models |
| crq.fit.por | Functions to fit censored quantile regression models |
| crq.fit.por2 | Functions to fit censored quantile regression models |
| crq.fit.pow | Functions to fit censored quantile regression models |
| Curv | Functions to fit censored quantile regression models |
| deviance.nlrq | Function to compute nonlinear quantile regression estimates |
| dither | Function to randomly perturb a vector |
| dynrq | Dynamic Linear Quantile Regression |
| end.dynrq | Dynamic Linear Quantile Regression |
| engel | Engel Data |
| extractAIC.nlrq | Function to compute nonlinear quantile regression estimates |
| extractAIC.rq | Linear Quantile Regression Object |
| FAQ | FAQ and ChangeLog of a package |
| fitted.nlrq | Function to compute nonlinear quantile regression estimates |
| fitted.rqss | RQSS Objects and Summarization Thereof |
| formula.nlrq | Function to compute nonlinear quantile regression estimates |
| formula.rq | Linear Quantile Regression Object |
| gasprice | Time Series of US Gasoline Prices |
| index.dynrq | Dynamic Linear Quantile Regression |
| KhmaladzeTest | Tests of Location and Location Scale Shift Hypotheses for Linear Models |
| kselect | Quicker Sample Quantiles |
| kuantile | Quicker Sample Quantiles |
| kunique | Quicker Sample Quantiles |
| latex | Make a latex version of an R object |
| latex.summary.rqs | Make a latex table from a table of rq results |
| latex.table | Writes a latex formatted table to a file |
| latex.table.rq | Table of Quantile Regression Results |
| lm.fit.recursive | Recursive Least Squares |
| logLik.nlrq | Function to compute nonlinear quantile regression estimates |
| logLik.rq | Linear Quantile Regression Object |
| logLik.rqs | Linear Quantile Regression Object |
| logLik.rqss | RQSS Objects and Summarization Thereof |
| lprq | locally polynomial quantile regression |
| Mammals | Garland(1983) Data on Running Speed of Mammals |
| nlrq | Function to compute nonlinear quantile regression estimates |
| nlrq.control | Set control parameters for nlrq |
| nlrqModel | Function to compute nonlinear quantile regression estimates |
| Peirce | C.S. Peirce's Auditory Response Data |
| plot.KhmaladzeTest | Plot a KhmaladzeTest object |
| plot.qss1 | Plot Method for rqss Objects |
| plot.qss2 | Plot Method for rqss Objects |
| plot.rq.process | plot the coordinates of the quantile regression process |
| plot.rqs | Visualizing sequences of quantile regressions |
| plot.rqss | Plot Method for rqss Objects |
| plot.summary.crqs | Summary methods for Censored Quantile Regression |
| plot.summary.rqs | Visualizing sequences of quantile regression summaries |
| plot.summary.rqss | Plot Method for rqss Objects |
| plot.table.rq | Table of Quantile Regression Results |
| predict.crq | Functions to fit censored quantile regression models |
| predict.crqs | Functions to fit censored quantile regression models |
| predict.nlrq | Function to compute nonlinear quantile regression estimates |
| predict.qss1 | Predict from fitted nonparametric quantile regression smoothing spline models |
| predict.qss2 | Predict from fitted nonparametric quantile regression smoothing spline models |
| predict.rq | Quantile Regression Prediction |
| predict.rq.process | Quantile Regression Prediction |
| predict.rqs | Quantile Regression Prediction |
| predict.rqss | Predict from fitted nonparametric quantile regression smoothing spline models |
| print.anova.rq | Anova function for quantile regression fits |
| print.crq | Functions to fit censored quantile regression models |
| print.dynrq | Dynamic Linear Quantile Regression |
| print.dynrqs | Dynamic Linear Quantile Regression |
| print.KhmaladzeTest | Print a KhmaladzeTest object |
| print.nlrq | Function to compute nonlinear quantile regression estimates |
| print.rq | Print an rq object |
| print.rqs | Print an rq object |
| print.rqss | RQSS Objects and Summarization Thereof |
| print.summary.crq | Summary methods for Censored Quantile Regression |
| print.summary.crqs | Summary methods for Censored Quantile Regression |
| print.summary.dynrq | Dynamic Linear Quantile Regression |
| print.summary.dynrqs | Dynamic Linear Quantile Regression |
| print.summary.nlrq | Function to compute nonlinear quantile regression estimates |
| print.summary.rq | Print Quantile Regression Summary Object |
| print.summary.rqs | Print Quantile Regression Summary Object |
| print.summary.rqss | Summary of rqss fit |
| qrisk | Function to compute Choquet portfolio weights |
| qss | Additive Nonparametric Terms for rqss Fitting |
| qss1 | Additive Nonparametric Terms for rqss Fitting |
| qss2 | Additive Nonparametric Terms for rqss Fitting |
| QTECox | Function to obtain QTE from a Cox model |
| ranks | Quantile Regression Ranks |
| rearrange | Rearrangement |
| resid.rqss | RQSS Objects and Summarization Thereof |
| residuals.nlrq | Return residuals of an nlrq object |
| rq | Quantile Regression |
| rq.fit | Function to choose method for Quantile Regression |
| rq.fit.br | Quantile Regression Fitting by Exterior Point Methods |
| rq.fit.fnb | Quantile Regression Fitting via Interior Point Methods |
| rq.fit.fnc | Quantile Regression Fitting via Interior Point Methods |
| rq.fit.hogg | weighted quantile regression fitting |
| rq.fit.lasso | Lasso Penalized Quantile Regression |
| rq.fit.pfn | Preprocessing Algorithm for Quantile Regression |
| rq.fit.scad | SCADPenalized Quantile Regression |
| rq.fit.sfn | Sparse Regression Quantile Fitting |
| rq.fit.sfnc | Sparse Constrained Regression Quantile Fitting |
| rq.object | Linear Quantile Regression Object |
| rq.process.object | Linear Quantile Regression Process Object |
| rq.test.anowar | Anova function for quantile regression fits |
| rq.test.rank | Anova function for quantile regression fits |
| rq.wfit | Function to choose method for Weighted Quantile Regression |
| rqProcess | Compute Standardized Quantile Regression Process |
| rqs.fit | Function to fit multiple response quantile regression models |
| rqss | Additive Quantile Regression Smoothing |
| rqss.fit | Additive Quantile Regression Smoothing |
| rqss.object | RQSS Objects and Summarization Thereof |
| sfn.control | Set Control Parameters for Sparse Fitting |
| sfnMessage | Sparse Regression Quantile Fitting |
| srisk | Markowitz (Mean-Variance) Portfolio Optimization |
| start.dynrq | Dynamic Linear Quantile Regression |
| summary.crq | Summary methods for Censored Quantile Regression |
| summary.crqs | Summary methods for Censored Quantile Regression |
| summary.dynrq | Dynamic Linear Quantile Regression |
| summary.dynrqs | Dynamic Linear Quantile Regression |
| summary.nlrq | Function to compute nonlinear quantile regression estimates |
| summary.rcrqs | Summary methods for Quantile Regression |
| summary.rq | Summary methods for Quantile Regression |
| summary.rqs | Summary methods for Quantile Regression |
| summary.rqss | Summary of rqss fit |
| table.rq | Table of Quantile Regression Results |
| tau.nlrq | Function to compute nonlinear quantile regression estimates |
| time.dynrq | Dynamic Linear Quantile Regression |
| triogram.fidelity | Additive Nonparametric Terms for rqss Fitting |
| triogram.penalty | Additive Nonparametric Terms for rqss Fitting |
| uis | UIS Drug Treatment study data |
| untangle.specials | Additive Quantile Regression Smoothing |
| [.terms | Additive Quantile Regression Smoothing |


{% include 'inc-account-links.html' %}
Link to Wikipedia
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Judges Judging JudgesJudgment at NurembergBy Michael Asimow, UCLA Law School (August 1998) Stanley Kramers masterpiece Judgment at Nuremberg (1961) stands alone as the finest film about judges ever made. In the film, four Nazi judges are placed on trial at Nuremberg before a panel of three American judges. Three of the German judges are Nazi thugs but one of them, Ernst Janning (played by Burt Lancaster), was quite different. Janning had been a famous and aristocratic legal scholar, a drafter of the Weimar constitution, and a man who detested Hitler and the Nazis. Yet he remained on the bench under the Third Reich. All defendants are convicted and sentenced to life imprisonment. The chief American judge, Dan Haywood (played memorably by Spencer Tracy), brushes aside the various excuses offered by defense counsel Rolfe (a role for which Maximilian Schell won an Oscar). The Nuremberg war crime trials presented many thorny jurisprudential issues, such as the problem of ex post facto criminal law and the issue of how the court obtained jurisdiction over the defendants. In particular, what justification is there for an international (rather than a German) tribunal to try a case in which the offenses were committed by Germans against other Germans? But the trial of the Nazi judges presented additional dilemmas. What of Rolfes argument that Janning remained on the bench in order to make the system of justice more merciful than it otherwise would have been? Certainly if Janning had resigned he would have been replaced by a more brutal official. Should this be a defense against charges that in some cases Janning had acted in a brutal and lawless manner? And what of positivismis it not the responsibility of the judge to carry out the laws of his country adopted by competent authorities, even if he disagrees with them? And what of independencecan a person serve as a judge when he is subject to the control or influence of non-judicial officials? And how about selective prosecutionthere were thousands of German judges. Why are these four being picked on? Judicial independence was an issue for the American judges at Nuremberg as well. By the time of the trial, Haywood was under intense pressure to go easy on the defendants since the Cold War had begun. The Berlin Blockade was underway and higher concerns of foreign policy suggested that the Germans were now allies rather than enemies. In the film, Haywood resists these pressures and finds the defendants guilty based on a few cases they had judged. A judges responsibility, he declares, is to stand for justice hen standing for something is most difficult. At a recent talk I gave to a roomful of judges, the audience burst into spontaneous applause after hearing Haywoods judgment. Judgment at Nuremberg is based on the third Nuremberg trial (there were a total of thirteen) . Charges were brought against sixteen functionaries in the legal systemjudges, prosecutors, and officials of the Ministry of Justice.  Janning is a conglomeration of several actual defendants, including Franz Schlegelberger who was formerly undersecretary in the Ministry of Justice. Schlegelberger offered the defense that if he were to resign, a worse man would take his place. The Court thought there was much truth in this but convicted him anyway. The key evidence against Janning was the Feldenstein case. Feldenstein was an elderly Jew convicted under the Law for the Protection of German Blood and German Honor for having sex with Irene Hoffman, a much younger Aryan woman (played by Judy Garland). Janning was the judge and he sentenced Feldenstein to death. At the Nuremberg trial, Janning conceded that he had decided to condemn Feldenstein even before the trial began, regardless of what the evidence would show. However, like everything else in the movie, the Feldenstein case presents serious issues. There was solid evidence presented at the trial that Feldenstein and Hoffman had a sexual relationship, even though they denied it and Hoffman continued to deny it at Nuremberg. Given that evidence, is it right to say that Jannings decision to find Feldenstein guilty was itself a war crime? Hitlers Justice is a devastatingly well-documented book on the Nazi legal system by Ingo Muller. Written in 1991, this book discusses the entire legal system under the Nazislawyers, Bar Associations, law professors, judges, and prosecutors. Speaking of judges, Muller (at pp. 193-95) finds one judgejust onewho opposed the Nazis and spoke up against the prostitution of the judicial system. This judge, Lothar Kreyssig, was allowed to retire in 1942 and received a full pension. This suggests that other judges could have resisted the Nazisif they had wanted to. Muller also discusses the Nuremberg trial and domestic German trials against some of the judgesand recounts how all of them, judges and professors alike, were swiftly rehabilitated and got their jobs back. They then wrote many books and articles justifying their actions under the Third Reich. Muller describes a case exactly like the Feldenstein affair (at pp. 113-15). It was the notorious Katzenberger case which was decided in 1942 by Oswald Rothaug, himself a Nuremberg defendant. Katzenberger was 67 years old, a pillar of Nurembergs Jewish community. He rented an apartment to Irene Seiler, who was thirty years old. The two were clearly good friends but they strongly denied any sexual relationship. As described by Muller, the evidence that a sexual relationship actually existed was much weaker in the Katzenberger case than in the fictionalized Feldenstein version presented in the film. Muller has an extensive and horrifying chapter (Chapter 12) on the German blood protection statute. He shows how court decisions aggressively broadened the coverage of the law, both in defining who was a Jew and who was an Aryan, and in describing the circumstances that would violate the law. The judges and prosecutors enthusiastically enforced the law with the utmost brutality and the broadest possible coverage. The law covered considerably more than sexual contact; it also criminalized "dishonor to the race" which included kissing and even, in one extreme case, staring at an Aryan woman as she walked by on the other side of the street. While the blood protection law called for prison sentences rather than capital punishment, a violation of that law could be combined with other laws (such as the Habitual Criminal Law or the Decree on Asocial Elements) to produce the death penalty, as occurred in the Katzenberger case. Another of Mullers chapters (chapter 9), which I found particularly disheartening, concerned the role of law professors under the Third Reich. All Jewish and Social Democratic law professors were quickly purged in 1933. This eliminated 120 of the 378 professors then working. The remaining professors tended to be extremely conservative. Younger men with the proper Nazi party credentials filled the openings. All of these professors (young and old) vied in writing books and articles that would be pleasing to the Nazis. They glorified Hitler, praised law by decree, vilified the ideas of constitutionalism and judicial independence, and called for ever-more brutal applications of Nazi laws and decrees. As Muller rightly puts it, all this scholarship "managed to disguise only with difficulty the fact that all of these [theories] meant turning back the clock and eradicating every trace of civilization and historical progress from German law." The questions raised by Judgment at Nuremberg go to the core of what we do and what we are. What does it mean to be a lawyer, professor, or judge? Do we believe in positivism, natural law, legal realism? What do those philosophies require when one is a participant in the Nazi legal system? What if many judges had resisted the Nazis instead of pandering to them? Could the Holocaust have been prevented? When should we follow the law and when should we resist it or twist it? When must a judge resign rather than carry out an immoral law? How about laws that require a life sentence for stealing a box of Pampers (like Californias three-strike law) or decades in prison for trivial drug offenses (like the federal law on crack cocaine)are these as wicked and illegitimate as the German blood protection law? Every judge, lawyer, law student and law professor should see Judgment at Nuremberg. If you saw it years ago, see it again.
|


--- notes: | Add the `grid--auto` class to your grid with no width classes on the columns and they will automatically be sized! Note, will only make a single row. ---


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ComiCoffee is a hybrid coffee house/comic store offering a warm, inviting space to hang out, drink speciality beverages and read your favourite comics or novels. Website coming soon.
ComiCoffee is a hybrid coffee house/comic store offering a warm, inviting space to hang out, drink speciality beverages and read your favourite comics or novels. Website coming soon.


What is DASH?
DASH present some simple implementations of speech pre-processing algorithms. It has three main modules implemented: MVDR, speech masking and denoising autoencoders. It is optimized to run in real time on Nvidia Xavier.
Why?
Modern ASR solutions rely heavily on artificial neural networks (ANNs) and as such perform badly on previously unseen background noise conditions. Acoustic model within ASR can be trained on diverse conditions (multi-condition training), but exhaustive set of noises is problematic. Similarly, reverb that occurs in far-field ASR also significantly affects word error rate (WER) of the ASR and exhibits even higher variability than noise. This creates a necessity to remove background noise and reverb prior to recognition.
In voice communication, noise degrades performance of the codec, which results in distorted, noisy speech and therefore lower speech intelligibility.
Apart from these processing steps dereverberation of signal should occur in closed rooms. This can be dealt with also by appropriate neural network.
MVDR beamformer
Using microphone matrix generates several separate channels of audio, which are related in time. Distances between microphones translate directly to differences in time of arrival of the signal to the microphone. This in turn creates offset of the signal at each microphone. Knowing direction of the signal, one may shift the signal by specific offsets and sum them to obtain constructive interference of signals arriving from the desired direction.
Beamformers work exactly this way. Delay-and-sum, the most simple beamformer, implements exactly this behaviour. However, such a naive approach cannot attenutate noise from other directions per se, only enhancing the desired one by a factor of a number of microphones. MVDR beamformer is a solution to an equation that maximizes SNR of signals coming from desired direction. The equation is as follows:
MVDR relies on two parameters: a transmission vector, which describes spatial configuration of the microphones and steering direction, and covariance matrix of noise. While the first one may be adjusted manually, covariance matrix requires determination of time-frequency bins which convey mostly noise. Due to sparsity of speech signal this feat is not as difficult as it seems. Simple MVDR implementation may contain VAD module, which tells the beamformer to update the matrix in the moments of silence. However VAD works holistically and cannot be reliably used if speech is rather continuous. There are multiple moments, where noise signal can be reliably obtained at selected frequencies. This is where the deep component kicks in.
Speech masking
Masks for speech may be obtained using various techniques, e.g. non-negative matrix factorization. In the demonstrator we use two different networks based on LSTM layers. LSTM layers contain time-dependency that helps it remember characteristics of speaker and background noise.
It should be said that proper speech masking may be used with good results to produce monophonic denoised speech signal. Effects are better if outputs from network are scaled by some factor and cut off. Implementation of such a model is attached in the demonstrator.
Deep MVDR
Having obtained a mask for speech and noise, one can use it to determine in which moments appropriate source is active. When a given source is active, its' covariance matrix is updated using the following equation:
There are two matrices that we want to track. Noise covariance matrix is used by itself in the MVDR equation. In turn, principal eigenvector of speech covariance matrix corresponds to the estimated location of the loudest speech source at given frequency. This approach is a good replacement of traditional direction estimation methods, which required a proper composition of results for different microphone pairs.
Denoising autoencoder
Beamformer signal still contains noise, albeit attenuated. Properly trained autoencoder may be used as a post-processing step after speech beamforming. The issue is that the autoencoder as a neural network is sensitive to out-of-domain signal and cannot be easily generalized without a properly large dataset. In case of mismatched dataset the results may be in fact destructive. This is why the solution in the original demonstration does not have a postfilter.
Denoising autoencoders are however one of the tools of choice for reconstruction of speech is proper amount of data is provided. An example implementation is provided in the demonstration.
Data
We have used LibriSpeech dataset for clean speech recordings (however they don't offer highest quality, but were sufficient for basic implementation). We also used recordings acquired in food courts in Gdańsk.
Acknowledgements
Made in cooperation with:


Klaipėda is the most northerly ice-free port in the eastern Baltic Sea. It is located at the northern end of the long strip of land running parallel to the coast from Klaipėda to Kaliningrad, about 90nm to the south.
Position 55° 43'45"N, 21° 04'20"E (harbour entrance)
The Sea Canal, which links the port with the Baltic, is well marked. Yachts are directed to the Customs pier (berth 42) in the commercial harbour, where Customs and Immigration formalities are completed. See Lithuania Clearance for full details.
Afterwards yachts are allowed to move to the yacht club, which is located further along the channel on the opposite bank from the town.
Last updated April 2016.
The approach channel constantly moves, so it is advisable to call the Yacht Club or marina in advance. Care should be taken to keep to the marked channel to avoid the mud banks and unmarked fishing nets. Yachts with a draught of up to 2 metres are usually o.k.
Klaipeda Yacht Club has good docking and repair facilities. A club launch makes occasional trips to Klaipeda itself, which is situated on the opposite bank of the river. There is also a ferry crossing. There are good train connections to the capital Vilnius.
Visiting yachts may also find a berth at the Castle Yacht Harbour (Klaipedos Pilies Uostas), on the Dane Canal (Danes Upe), just south of the Immigration office. The harbour is reached via an opening bridge and is more convenient for visiting the town. See this useful map of the yacht harbour.
Last updated April 2016.


meatspoon
16-Jul-19 07:43 PM
@Caglio I love the toe/finger amputee guy pooping. You really capture the struggle of the human condition in his weathered grimace.  I admire that.
1
I guess I am just sort of confused as to why there isnt some element of a big friggin' lizard in the logo. Why not a lizard curled into a semicircle with a chain tail? Shit, you get the "Komodo" in there as well as chain symbolism.
make that chain tail kinda blocky, and well, you got blockchain too


Basic usage
Disabled and read-only
Date Range Picker without visible textfields
Click the button to open the date range picker
Clear button
Inside Form Layout
Helper text without side panel
Use the helper-text
attribute or add content to the helper
slot to set helper content.
Value change event
Selected value:
Auto open disabled
Dropdown is only opened when clicking the toggle button or pressing Up or Down arrow keys.


JIMS HONEY JT8071
JIMS HONEY JT2067
Hello Kitty Sling Bag
Mila Sling Bag
Mini Duck Sling Bag
Tas Kulit 4 in 1
Tas Bahu Sederhana
Korean Box Sling Bag
Tactical Army PUBG Ransel
Tas Travel Lipat
JIMS HONEY Shopie Wallet
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Designed and built by Richa Purba


This month was excellent as it marked my first ever professional presentation as a NYU Librarian :)
Last year during NDSR, it seemed like I was giving a presentation at a conference, professional organization meeting, webinar, etc. every other week. It’s been exceptionally restful (well, sort of...) to spend these past 5 months getting to know NYU, my colleagues, the scope of my work, and really just getting a feel for my day-to-day.
One of the most exciting outputs from my first semester here at NYU has surrounded my work on the Moore-Sloan Data Science Environment (msdse.org). Back in October (link to Oct 2015 post), I wrote about the MSDSE Summit that was held at Suncadia Resort in Washington state. God it was so incredibly beautiful there and I got to do some really cool stuff, but the best thing that happened was definitely meeting Jenny Muilenburg and Erik Mitchell.
As the three librarians in the MSDSE, we wanted to meet and discuss some of the potential outputs that our Libraries Working Group (which had its first in-person meeting at the Summit!) could produce. One thing that came out of it was our presentation at the Coalition of Networked Information Fall 2015 Meeting in Washington, DC.
We were really interested in exploring more overlap between the work that data scientists do and the potential work that could take place in libraries. Because the nature of data science is so multidisciplinary, and encompasses a variety of research methods and domains, it faces a lot of the same issues as libraries do in open scholarship, data access, reproducibility, curation, standardized vocabularies and metadata, and data curation.
There are so many opportunities for us to all collaborate on these issues and create infrastructure and service models to better serve our communities. However, deploying these is super challenging. This has been a big strength of the MSDSE--the chance for universities to create these new collaborations as well as create new employment opportunities for data scientists.
So in thinking through these issues, Jenny, Erik, and I thought of potential career paths for data scientists in libraries. We thought of three main categories of jobs:
You can see our slides on the Open Science Framework as well as our recorded presentation, which CNI is graciously hosting on their YouTube and Vimeo channels:
Organizational Implications of Data Science Environments in Education, Research, and Research Management in Libraries from CNI Video Channel.


SOMETHING COOL WILL HAPPEN NEXT
SOMETHING COOL WILL HAPPEN NEXT
SOMETHING COOL WILL HAPPEN NEXT
SOMETHING COOL WILL HAPPEN NEXT
SOMETHING COOL WILL HAPPEN NEXT
SOMETHING COOL WILL HAPPEN NEXT
SOMETHING COOL WILL HAPPEN NEXT
SOMETHING COOL WILL HAPPEN NEXT
SOMETHING COOL WILL HAPPEN NEXT
SOMETHING COOL WILL HAPPEN NEXT
SOMETHING COOL WILL HAPPEN NEXT
SOMETHING COOL WILL HAPPEN NEXT


Write a program that accepts one or more numbers as command-line arguments and prints the sum of those numbers to the console (stdout).
You can access command-line arguments via the global process
object. The process
object has an argv
property which is an array containing the complete command-line. i.e. process.argv
.
To get started, write a program that simply contains:
console.log(process.argv)
Run it with node program.js
and some numbers as arguments. e.g:
$ node program.js 1 2 3
In which case the output would be an array looking something like:
[ 'node', '/path/to/your/program.js', '1', '2', '3' ]
You'll need to think about how to loop through the number arguments so you can output just their sum. The first element of the process.argv array is always 'node', and the second element is always the path to your program.js file, so you need to start at the 3rd element (index 2), adding each item to the total until you reach the end of the array.
Also be aware that all elements of process.argv
are strings and you may need to coerce them into numbers. You can do this by prefixing the property with +
or passing it to Number()
. e.g. +process.argv[2]
or Number(process.argv[2])
.
learnyounode will be supplying arguments to your program when you run learnyounode verify program.js
so you don't need to supply them yourself. To test your program without verifying it, you can invoke it with learnyounode run program.js
. When you use run
, you are invoking the test environment that learnyounode sets up for each exercise.


Sir Gustav Athebaldt:
Martien tells me that you have completed the first stage of the plan. Now you and your clan are needed elsewhere. Please have your clan lord come and see me in the next few days.


Welcome
Automate your business driving experience.
navigation
Plan
Carefully plan your business trips using the most familiar navigation tool on the internet.
schedule
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Save your trips in a personalized calender, after entering your data once the website will keep track of your milage. Feel free to open modify your calender at any time.
work
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After you're done filling your agenda, head over to the data section to view meaningful summaries that can directly be used in your administration.


THtmlViewer, TFrameViewer, and TFrameBrowser components
property OnObjectTag: TObjectTagEvent;
The OnObjectTag event occurs when an <object> tag is encountered at document load time. This event may be used by the programmer to respond appropriately to the <object> tag. The HTML <object> tag is used to insert special devices (such as Macromedia Flash) into an HTML document.
The OnObjectTag event is similar to the OnPanelCreate event in that a ThvPanel is created to provide a base for whatever object is specified. However, the calling sequence and data provided differ and are appropriate for the <object> tag.


This module implements a IterIO that converts an iterator into a stream object and the other way round. Converting streams into iterators requires the greenlet module.
To convert an iterator into a stream all you have to do is to pass it directly to the IterIO constructor. In this example we pass it a newly created generator:
def foo():
yield "something\n"
yield "otherthings"
stream = IterIO(foo())
print stream.read() # read the whole iterator
The other way round works a bit different because we have to ensure that the code execution doesn’t take place yet. An IterIO call with a callable as first argument does two things. The function itself is passed an IterIO stream it can feed. The object returned by the IterIO constructor on the other hand is not an stream object but an iterator:
def foo(stream):
stream.write("some")
stream.write("thing")
stream.flush()
stream.write("otherthing")
iterator = IterIO(foo)
print iterator.next() # prints something
print iterator.next() # prints otherthing
iterator.next() # raises StopIteration


Passing an Array to annotater you can pass an array to the factory's argument, letting you keep things a little more concise. there's one notable difference the factory returns an array


December Indie World direct will be tomorrow to show new Nindies
by Lewis WhiteNintendo’s new Nindies will be shown off tomorrow in an all-new December Indie World direct.
Starting tomorrow at 18:00 UK time / 19:00 CET, Nintendo will be showing off roughly twenty minutes of new indie games for Nintendo Switch.
The Indie World – 10.12.19 livestream will, like always, be livestreamed on the official Nintendo Switch YouTube channel.
While not a full Nintendo Direct with AAA announcements, the smaller Indie World presentations are lovely additions by Nintendo. Highlighting some of the Nintendo Switch’s most innovative and inventive video games, the Indie World directs are great companion streams for Nintendo Switch gamers.
“Tune in on December 10th for a new Indie World showcase livestreaming featuring roughly 20 minutes of information on some upcoming indie games for Nintendo Switch,” reads the description.
As the last Nintendo Direct of 2019, Nintendo is certainly making sure that Switch owners know exactly where to spend their Christmas money.
What games are you looking forward to seeing in the December Indie World direct?


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Doctors tell UK authorities Julian Assange 'could die' in jail
WikiLeaks founder should be sent from prison to hospital, some 60 doctors tell British interior minister in open letter.

The 48-year-old, who spent seven years holed up in Ecuador's embassy in London before he was dragged out in April, is wanted in the United States to face 18 counts including conspiring to hack government computers and violating an espionage law. He could spend decades in prison if convicted.
More:
The 16-page letter, published by WikiLeaks on Monday, said Assange suffers from psychological problems including depression as well as dental issues and a serious shoulder ailment.
Addressing Home Secretary Priti Patel, the British interior minister, the doctors called for the Australian to be moved from Belmarsh prison in southeast London to a university hospital.
They based their assessment on "harrowing eyewitness accounts" of his October 21 court appearance in London and a November 1 report by Nils Melzer, the United Nations special rapporteur on torture.
The independent UN rights expert said Assange's "continued exposure to arbitrariness and abuse may soon end up costing his life".
"Were such urgent assessment and treatment not to take place, we have real concerns, on the evidence currently available, that Mr Assange could die in prison. The medical situation is thereby urgent. There is no time to lose," the doctors said.
They are from the US, Australia, the United Kingdom, Sweden, Italy, Germany, Sri Lanka, Poland.
Extradition bid
Assange is fighting a US bid to extradite him from the UK on charges filed under the Espionage Act that could see him given a sentence of up to 175 years in a US prison.
He used WikiLeaks to publish classified military and diplomatic files in 2010 about US bombing campaigns in Afghanistan and Iraq.
At his first appearance in public for six months, in a court hearing last month, Assange seemed frail.
He also appeared confused whenever he was asked to talk at Westminster Magistrates' Court in London.
He seemed to have difficulty recalling his birth date and at the end of the hearing told District Judge Vanessa Baraitser that he had not understood what had happened in court.
He also complained about the conditions in which he was being kept in Belmarsh.
It was his first public appearance since being dramatically removed from Ecuador's embassy in April.
Swedish prosecutors said last Tuesday they had dropped their investigation into a 2010 rape allegation, even though they found the plaintiff's claim "credible".


Welcome to IIRC’s documentation!¶
iirc is a package for adapting the different datasets (currently supports CIFAR-100 and ImageNet) to the iirc setup and the class incremental learning setup, and loading them in a standardized manner.
lifelong_methods is a package that standardizes the different stages any lifelong learning method passes by, hence it provides a faster way for implementing new ideas and embedding them in the same training code as other baselines, it provides as well the implementation of some of these baselines.
Project Homepage | Project Paper | Source Code | PyPI Package
Installation:¶
you can install the iirc package using the following command
pip install iirc
To use it with PyTorch, you will need as well to install PyTorch (1.5.0) and torchvision (0.6.0)
Guide:¶
Documentation:¶
Paper¶
IIRC is introduced in the paper “IIRC: Incremental Implicitly-Refined Classification ”. If you find this work useful for your research, this is the way to cite it:
@misc{abdelsalam2021iirc,
title = {IIRC: Incremental Implicitly-Refined Classification},
author={Mohamed Abdelsalam and Mojtaba Faramarzi and Shagun Sodhani and Sarath Chandar},
year={2021}, eprint={2012.12477}, archivePrefix={arXiv},
primaryClass={cs.CV}
}
Community¶
If you think you can help us make the iirc and lifelong_methods packages more useful for the lifelong learning community, please don’t hesitate to submit an issue or send a pull request.