Ppt on new technology in cse

CC1 CSE 5095 Cloud Computing and Software as a Service in BMI Timoteus Ziminski Computer Science & Engineering Department The University of Connecticut.

more abstract concepts such as HTTP/S REST. CC39 CSE 5095Overview  Background  Definition  Providers  Technologies  BMI in the Cloud  Application Fields  Example: Virtual Patient Chart  Limitations  Conclusion  Critique  Research topics CC40 CSE 5095Critique  Just another hype?  A lot of advertisement  Similar buzz-word overload as with SOA  In fact, often no solid distinguishing of the patterns  Nothing new?  Similar middleware concepts and ideas go far back/


IIE-1 CSE 300 Informatics and Information Engineering Prof. Steven A. Demurjian, Sr. Computer Science & Engineering Department The University of Connecticut.

 Online Payment vs. VISA, Mastercard  A Medium for Creation of New Services  Publishers, Travel Agents, Teller, Virtual Yellow Pages, Online Auctions …  A Boon for Academia  Research Interactions and Collaborations  Free Software for Classroom/Research Usage  Opportunities for Exploration of Technologies in Student Projects  What are Implications for BMI? Where is the Adv? IIE-80 CSE 300 Intranet Intranet  Decision support  Mfg.. System monitoring  corporate/


IntroOH-1 CSE 5810 CSE5810: Intro to Biomedical Informatics Prof. Steven A. Demurjian, Sr. Computer Science & Engineering Department The University of.

2. BMI builds on computing, communication and information sciences and technologies and their application in biomedicine. © 2014, W. Yasnoff, Uconn Health Center IntroOH-4 CSE 5810 BMI: Corollaries to the Definition 3. BMI investigates and /trends and include disease control and prevention organizations, medical associations, etc.  Researchers that explore new health treatments, medications, and medical devices  Laboratories that conduct tests and include chemistry, microbiology, radiology, blood, /


Computational Science & Engineering Department CSE 1 Software Engineering Tools – can they be of any practical use? Dr Chris Greenough Software Engineering.

parallel programming tools. Define the CCP requirements for problem-solving environments and work-flow management in GRID applications. Computational Science & Engineering Department CSE 7 CCP Scoping Study - Summary The recommendations have as common factors the adoption of new technologies and interfacing with products of the latest computer science research. In order to retain a competitive advantage, it is crucial to reduce the lag between development/


Yogesh Kumar Meena, Assistant Professor,CSE & IT Dept., HITM Agra 1 Data Mining: Concepts and Techniques — Unit 1 — — Introduction — Code :ECS-075 Title:

find closed-form solutions for complex mathematical models. 1990-now, data science The flood of data from new scientific instruments and simulations The ability to economically store and manage petabytes of data online The Internet and /2005 9/7/2015 Yogesh Kumar Meena, Assistant Professor,CSE & IT Dept., HITM Agra 25 Summary Data mining: Discovering interesting patterns from large amounts of data A natural evolution of database technology, in great demand, with wide applications A KDD process includes/


CSE 520 Computer Architecture Lec 4 – Quantifying Cost, Energy- Consumption, Performance, and Dependability (Chapter 1) Sandeep K. S. Gupta School of Computing.

the entire chip industry a new life in terms of Moore’s Law, in all three of the big metrics – performance, power consumption, and transistor density,” – David Lammers, director, WeSRCH.com – social networking site for semiconductor enthusiasts (part of VLSI Research Inc.) CSE 520 Fall 2007 3 What is the Breakthrough? “How to reduce energy loss in microchips transistors as the technology shrinks as the transistor/


Chaps26.28.29-1 CSE 4701 Chapters 26, 28 & 29, 6e - 24, 26 & 27 5e Database System Architectures, Data Mining/Warehousing, Web DB Prof. Steven A. Demurjian,

of Extending Services  Online Payment vs. VISA, Mastercard  A Medium for Creation of New Services  Publishers, Travel Agents, Teller, Virtual Yellow Pages, Online Auctions …  A Boon for Academia  Research Interactions and Collaborations  Free Software for Classroom/Research Usage  Opportunities for Exploration of Technologies in Student Projects Chaps26.28.29-90 CSE 4701 Intranet Intranet  Decision support  Mfg.. System monitoring  corporate repositories  Workgroups Server Corporate/


1 CSE 2102 CSE 2102 Chapter 1: Software Engineering Overview Prof. Steven A. Demurjian Computer Science & Engineering Department The University of Connecticut.

Computing Applications Must …  Allow Seamless and Transparent Interoperation  Provide Tools for Engineers and Users  Result: Inter-Operating Environment  Utilize Information in New/Innovative Ways  Leveraged to Increase Productivity  Support Diverse User Activities  Dynamically Respond to Changes 74 CSE 2102 CSE 2102 Striving for New Techniques/Technologies  We Must Diverge from Business as Usual  C Programming with RPC  Customized Development without Reuse  Solutions that Aren’t Extensible/


Network Technologies essentials Week 9: Applications: DNS and HTTP Compilation made by Tim Moors, UNSW Australia Original slides by David Wetherall, University.

Network Technologies essentials Week 9/Networks4 DNS Resource Records (2) IP addresses of computers Name server Mail gateways 8-2.11 CSE 461 University of Washington5 DNS Protocol Query and response messages – Built on UDP messages, port 53/ Protocol Page on server Server ** 8-4.6 Computer Networks10 HTTP Protocol (2) Commands used in the request MethodDescription GETRead a Web page HEADRead a Web pages header POSTAppend to a Web page PUTStore/Education, Inc., Upper Saddle River, New Jersey Computer Networks15


University of Southern California Center for Software Engineering CSE USC Engineering Systems at USC: Center for Systems and Software Engineering Barry.

Center for Software Engineering CSE USC CSSE Principals (37) Core in CS, SAE, ISE (20) Engineering: Aerospace, Civil, Electrical, Mechanical (8) Schools of Business, Public Policy (4) Information Sciences Institute, Institute for Creative Technology, CREATE Center (5/, Software Engineering Institute, 2006. Pew, R. W., and Mavor, A. S., Human-System Integration in the System Development Process: A New Look, National Academy Press, 2007. Putnam, L., “A General Empirical Solution to the Macro Software Sizing/


Computational Science & Engineering Department CSE The Software Engineering Group Software Engineering in the Computational Science and Engineering Department.

provide the main modern vehicles for these applications.  To maintain and continue to develop the science encapsulated in these legacy codes a process of transformation and re-engineering must be formalised.  This can be broken into/ CSE The Software Engineering Group Evaluation of Methodologies, Tools and Technology  The computer science community has a long history of developing new methodologies, tools and technologies to aid the development of computing applications.  These range from new languages/


CSE 4482 2012 - Session 51 “The advance of technology is based on making it fit in so that you dont really even notice it, so its part of everyday life.”

up to these devices Use secure hubs: requires special code before a new computers are connected CSE 4482 2012 - Session 5 Security Holes Made by flaws in network software that permit unintended access to the network –A bug that / challenges from the Privacy Commissioner and information owner, e.g., consumers or employees. CSE 4482 2012 - Session 5122 Technology Impact on Privacy Increasing technology power enables organizations to hold and analyze more data thereby potentially violating privacy legislation,/


CSE 403, Spring 2007, Alverson Intellectual Property Disclaimer of Liability: With respect to the 403 Spring 2007 class, neither the staff or the University.

more royalty claims by Microsoft  Novell’s most eminent Linux developer quit in protest  GNU drafting a new version of the GPL to plug loophole Microsoft scores a deal with CSE 403, Spring 2007, Alverson What’s your opinion? “Patents and the/of Vista] that directly competed with Veritas offerings, the lawsuit said. Microsoft said that in 2004 it bought from Veritas the rights to the technologies in question. May 19,2006 CSE 403, Spring 2007, Alverson Trademarks Protect: “any word, name, symbol, or device,/


CSE 595, Winter 2000 1 Feb 24: Desinging to Fit Human Capabilities; Psychological Aspects; Participatory Design zGuest lecture: Dan Comden, UW DO-IT Program.

zScandanavian co-determination laws — workplace democracy zstrong trade unions zin-house or specialized systems — not mass-market shrinkwrap software zlong tradition and current practice in Scandanavia of related ideas, e.g. Citizen’s Panels in Denmark on controversial new technologies CSE 595, Winter 2000 35 Participatory Design — Some Principles zComputer systems that are created for the workplace should be designed with full participation from the/


CSE 550 Computer Network Design Dr. Mohammed H. Sqalli COE, KFUPM Spring 2007 (Term 062)

a negative affect on usability Example: strict security policies CSE-550-T062 Lecture Notes - 262 Adaptability Ensure that the network can implement new technologies in the future Try to avoid incorporating elements that would make it hard to implement new technologies in the future A good network design can adapt to new technologies and changes Changes can come from, new protocols, new business practices, etc. A flexible network can also adapt/


Chart 2-1 Copyright © 2004 by R. Fairley CSE 516 Summer, 2004 CSE 516 (formerly known as CSE 500) Introduction to Software Engineering SESSION 2: People,

Fairley CSE 516 Summer, 2004 PEOPLE, PROCESS, AND TECHNOLOGY Process is the way in which people, working in teams, apply technology to build high quality products - efficiently and effectively PeopleProcess Technology Capability Product chart 2-25 Copyright © 2004 by R. Fairley CSE 516 /Include a table of milestones for the development project indicating the number of each build, what new features will be in each build, and the schedule when each build will be implemented and demonstrated The assignment is/


January 20, 2000 CSE 7315 - SW Project Management / Chapter 13 – SW Process Maturity, Appraisal & Imp Copyright © 1995-2000, Dennis J. Frailey, All Rights.

for Level 5 Defect Prevention – You not only find defects, you correct or remove the process steps that cause them Technology Change Management (*) – You insert technology in an orderly and managed fashion – New methods and tools do not disrupt performance … continued January 20, 2000 CSE 7315 - SW Project Management / Chapter 13 – SW Process Maturity, Appraisal & Imp Copyright © 1995-2000, Dennis J. Frailey, All Rights Reserved/


Intrto-1 CSE 5810 CSE5810: Intro to Biomedical Informatics Prof. Steven A. Demurjian, Sr. Computer Science & Engineering Department The University of Connecticut.

in a consistent format from multiple for integration   Medical providers (hospitals, clinics, MD offices, pharmacies, imaging centers, etc.) all have their own health information technology (HIT) systems to manage healthcare and medical data on patients intrto-30 CSE/ stats, Results, Encounters,Plan of care N/ASingle PatientMessages are processed and a new Patient Note is delivered to a specified user and appears in that users Message and Reminder Center. WebPatient > Demo > Reports > Transmit Admin/


CSE 422 page 1 FPGA: Field Programmable Gate Array Yann-Hang Lee.

RAM m One common synchronous write port m Two asynchronous read ports m 16 x 1 max per CLB CSE 422 page 35 New Features in Spartan-XL Family m Higher speed (-4/-5) m 8 flexible global low-skew buffers (BUFGLS) m CLB/ as RAM).  Fast Carry Logic m XC4000 and Spartan Families  Previous version of Virtex  No DLLs, No dedicated RAM blocks CSE 422 page 37 Issues in FPGA Technologies m Complexity of Logic Element  How many inputs/outputs for the logic element?  Does the basic logic element contain a FF? /


Superimposed Information - INRIA - April 20011 Lois Delcambre Technology for Superimposed Information Lois Delcambre with Shawn Bowers,

select  collect  organize  connect  reuse information elements often to support new applications, beyond the original Superimposed Information - INRIA - April 20014 Lois Delcambre (lmd@cse.ogi.edu) Examples of Superimposed Information  Non-electronic examples:  Commentaries on/ of observational work and SLIMPad technology in another domain (forest information - preparation of a watershed assessment) Superimposed Information - INRIA - April 200125 Lois Delcambre (lmd@cse.ogi.edu) Outline introduction to/


XMLSecurity-1 CSE 5810 XML Security Framework Prof. Steven A. Demurjian, Sr. Computer Science & Engineering Department The University of Connecticut 371.

HIPAA  What are the Available Technologies?  What is the Role of Standards in Exchange?  What are Standards for Security Policy Defining?  What Needs to be Exchanged & Controlled? XMLSecurity-15 CSE 5810 Makeup of Health Care Landscape   Health Information Technology (HIT) Standards  HL7 /authorization   A mapping rule (MR) is defined to take the security model concepts and capabilities and the new the UML diagrams to yield a portion of the security policy  For example, an XACML Policy’s Subject is/


CSE 5810 Biomedical Informatics and Cloud Computing Zhitong Fei Computer Science & Engineering Department The University of Connecticut CSE5810: Introduction.

data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it.” 11 CSE 5810 Big Data for Biomedical Informatics   /in diagnosis, prognosis, and high- quality healthcare 12 CSE 5810 Big Data for Biomedical Informatics   Cloud Computing and Big Data technologies  Cloud storages allow large-scale  Virtualisation technology -- Virtual machine  A Hypervisor, a virtualisation management layer 13 CSE/


CSE 4701 Chapter 10-1 MySQL & Project Technology Overview Questions… Project Architecture (3-Tier)‏ MySQL Administration and Tools.

HTML For JSP, ASP…  Communicate With Application Tier Developer CSE 4701 Chapter 10-8 Project Flexibility All Technologies At All Tiers Can Be Substituted For What You Are Most Familiar With Implementation in JSP, PHP, ASP,.NET... BUT Your Pages Must Run /Line Tool But Syntax is the same! CSE 4701 Chapter 10-28 Schema Creation - customer CSE 4701 Chapter 10-29 Schema Creation - order CSE 4701 Chapter 10-30 Schema Creation - line_item CSE 4701 Chapter 10-31 View Create a new view of data CREATE VIEW clerk (/


Shao-1 CSE 5810 CSE5810: Intro to Biomedical Informatics Mobile Computing to Impact Patient Health and Data Availability for Diseases Monitoring Xian Shao.

 People stored their information in their mobile devices include the health condition  The technical capabilities of mobile devices increased significant Shao-7 CSE 5810 Mobile Applications for Diseases Monitoring  Mobile Technology Capabilities for Monitoring Patients: /module and Glucose model module are three new models provided by this application.  User profiles:  Administrator –Create accounts within the application.  Physician –Introduce new patients and communicate with them, observe /


CSE 490/590, Spring 2011 CSE 490/590 Computer Architecture Intro II & Trends Steve Ko Computer Sciences and Engineering University at Buffalo.

or less challenging New view is computer architecture >> ISA Architect’s job much more than instruction set design; technical hurdles today more challenging than those in instruction set design CSE 490/590, Spring/ CSE 490/590, Spring 2011 21 Tracking Technology Performance Trends Drill down into 4 technologies: –Disks, –Memory, –Network, –Processors Compare ~1980 Archaic (Nostalgic) vs. ~2000 Modern (Newfangled) –Performance Milestones in each technology Compare for Bandwidth vs. Latency improvements in /


FAA Information Technology- Information Systems Security R&D Workshop 2003 13 June 2015© 2002-3 USC-CSE Extending COCOMO II to Estimate the Cost of Developing.

Rating Description  Nominal –None  High –All source materials are locked up when not in active use  Very High –High + Audited security markings in code  Extremely High –Very High+ Multi-compartment developer communication constraints 223 June 2015© 2002-3 USC-CSE Outline  Why Extend COCOMO for Security?  The COCOMO II Modeling & Methodology  New Security Cost Driver & its Factors  COCOMO II Cost Driver Values  Analysis of/


Security-1 CSE 300Security Prof. Steven A. Demurjian, Sr. Computer Science & Engineering Department The University of Connecticut 371 Fairfield Road, Box.

this Use (Can’t store any Patient Related Information)  Limited User Friendliness May Result in Poor Opinion of Web Technology Security-52 CSE 300 Usage of WIKIs in Safety.Net  Another Alternative – Use AXON Product  Still Web Solution (No Software/Database Client COTS Client  Premise: Artifacts - set of  DB, Legacy, COTS, GOTS, Each w/ API  Premise: Users  New and Existing  Utilize Artifact APIs  Distributed Application, DA  Artifacts + Users  Can we Control User Access to Artifact APIs (Methods)/


1 CSE 45432 SUNY New Paltz Chapter 2 Performance and Its Measurement.

CSE 45432 SUNY New Paltz Our favorite program runs in 10 seconds on computer A, which has a 400 Mhz. clock. We are trying to help a computer designer build a new machine B, that will run this program in 6 seconds. The designer can use new (or perhaps more expensive) technology/Program Program Instruction Cycle Instr. countCPIclock rate Program Compiler Instr. Set Arch. Organization Technology 19 CSE 45432 SUNY New Paltz Performance best determined by running a real application –Use programs typical of /


Effective Human Factors in Software-Intensive Systems Jo Ann Lane CSE Annual Research Review – March 2006 © USC CSE 2006 University.

each point of view –Human factors aspects –Potential problems –Approaches for effective human factors Effective Human Factors © USC CSE 2006 CSE Annual Research Review 20063 Software-Intensive Systems: Vision Moving Forward Enterprise-wide net-centric systems for businesses and government agencies / not overwhelmed with too much data to do their job in a timely manner “Smart Warrior” –Flow of critical information to the warrior via new technologies (voice, video, data) –Key personal information to support/


Towards Model Unification:

stage RAD effort Schedule by phase Model Point of Contact: Winsor Brown 26 October 2004 COCOMO II Unification Tutorial ©USC-CSE Constructive Productivity Model: COPROMO Determines impact of technology investments on model parameter settings Predicts the most cost effective allocation of investment resources in new technologies intended to improve productivity Uses COCOMO II, COPSEMO, and CORADMO models as assessment framework Well-calibrated to 161 projects/


Getting involved in Social Innovation Research – participation and experimentation David Ludlow, Centre for Research in Sustainable Planning and Environments,

3 year 5 meuro  Pan-European multi-stakeholder partnerships www.cses.co.ukwww.cses.co.uk 10  Public administrations need to address the new challenges posed by the evolution of society  The take-up of new technologies, such as social media and mobile technologies, leads to increased connectivity  The availability of open data and open services, in an open government setting support the collaborative forms of service/


University of Southern California Center for Software Engineering CSE USC 110/26/2004©USC-CSE Welcome and Overview: COCOMO / SCM #19 Forum and Workshops.

/26/2004©USC-CSE USC-CSE Highlights, 2004 New Affiliate: EASE (Japan) February 2004: Hosting of ICCBSS (COTS) Conference May/June 2004: Lead ROI article in Software December 2003, May 2004: Lead articles in CrossTalk August 2004: Hosting of Empirical Software Engineering Week Future Combat Systems: Adoption, elaboration of Win Win Spiral Model for both software and systems engineering High Dependability Computing: Successful technology maturity/adoption/


University of Southern California Center for Software Engineering CSE USC 1 COCOMO Suite Marilee Wheaton CSCI 510.

based on CSCI 577a See CSCI 577a Tutorials (soon) for update University of Southern California Center for Software Engineering CSE USC 38 Constructive Productivity Model: COPROMO Determines impact of technology investments on model parameter settings Predicts the most cost effective allocation of investment resources in new technologies intended to improve productivity Uses COCOMO II, COPSEMO, and CORADMO models as assessment framework –Well-calibrated to 161/


IntroOH-1 CSE 5810 CSE5810: Intro to Biomedical Informatics Prof. Steven A. Demurjian, Sr. Computer Science & Engineering Department The University of.

CSE 5810 Comparing PHA Versions IntroOH-18 CSE 5810 Team Project  Objectives  Explore larger scale Health Information Technology Systems and their Interaction  Support Interoperability via XML and Other Standards  Team Structure  Work in Teams of 4 to 6 students  18 students in/, Results, Encounters,Plan of care N/ASingle PatientMessages are processed and a new Patient Note is delivered to a specified user and appears in that users Message and Reminder Center. WebPatient > Demo > Reports > Transmit/


4/17/07, Tecnológico de Monterrey, SMU CSE 8337 1 DATA WAREHOUSING & INFORMATION RETRIEVAL Margaret H. Dunham Department of Computer Science and Engineering.

de Monterrey, SMU CSE 8337 42 Bibliography [1] Anne-Muriel Arigon, Anne Tchounikine, and Maryvonne Miquel, “Handling Multiple Points of View in a Multimedia Data Warehouse,” ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 2, No. 3, August 2006, Pages 199–218. [2] S. Nicholson, “The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making,” Information Technology and Libraries, 22/


Network Traffic Modeling Punit Shah CSE581 Internet Technologies OGI, OHSU 2002, March 6.

Network Traffic Modeling Punit Shah (pshah@cse.ogi.edu) CSE581 Internet Technologies OGI, OHSU 2002, March 6 03/06/2002CSE581, Winter 2002 | Punit Shah (pshah@cse.ogi.edu) 2 Papers Generating Representative Web Workloads for Networks and Server performance Evaluation –Paul Bardford, Mark Crovells. Comp Sci Department, Boston University. Self-Similarity in WWW traffic: Evidence and possible cause –Mark Crovells, Azer Bestavros. Comp Sci Department/


CSE 3213 Summer 2008 CSE3213 Computer Network I Chapter 2 Application Layer Protocols & IP Utilities Course page: Slides.

Email, WWW, Peer-to-peer –Applications independent of network technology New networks can be introduced below Old network technologies can be retired CSE 3213 Summer 2008 Internet Protocol Approach IP packets transfer information across Internet Host A IP → router→ router…→ router→ Host B IP IP layer in each router determines next hop (router) Network interfaces transfer IP packets across networks Router Internet Layer Network Interface/


1 CSE 4939 What is BMI? Prof. Steven A. Demurjian, Sr. Computer Science & Engineering Department The University of Connecticut 191 Auditorium Road, Box.

Support via:  Electronic Medical Record  Linking/Accessing Data Repositories  Collaborative and Secure (HIPPA) Web Portals 6 CSE 4939 Learn about New/Emerging Technology  Explore Smartphone Technologies and Applications  Four Smartphone Platforms  Android  Blackberry  iPhone  Microsoft  All with Differing APIs  Java/be synchronized into Google Health, and if the user is also a patient with data in the EMR Centricity, a second step would synchronize to this repository using its secure web/


CSE 7381/5381 I/O Introduction: Storage Devices, Metrics.

wound on spool (sequential access, "unlimited" length, multiple / reader) New technology trend: Helical Scan (VCR, Camcoder, DAT) Spins head at angle to tape to improve density CSE 7381/5381 Current Drawbacks to Tape Tape wear out: –Helical 100s of / records Parity computed across recovery group to protect against hard disk failures 33% capacity cost for parity in this configuration wider arrays reduce capacity costs, decrease expected availability, increase reconstruction time Arms logically synchronized,/


CSE-NITW E-CONTENT GENERATION AND DELIVERY MANAGEMENT FOR STUDENT CENTRIC LEARNING Proposal submitted to Department of Higher Education Ministry of Human.

Ministry of Human Resource Development Government of India, New Delhi by NATIONAL INSTITUTE OF TECHNOLOGY WARANGAL CSE-NITW A case for e-learning E-CONTENT GENERATION & DELIVERY MANAGEMENT FOR STUDENT CENTRIC LEARNING CSE-NITW The Scenario Prof. X teaches subject Y / will be offered from the central web site located at NIT, Warangal. NIT, Warangal will become a Nodal centre in the filed of knowledge management - e-learning content, driving software which drives the e- content and training various engineering/


Information Retrieval CSE 8337 Spring 2007 Retrieval Evaluation Many slides in this section are adapted from Prof. Raymond J. Mooney in CS378 at UT which.

new evaluation techniques, particularly for new applications. –Retrieval, routing/filtering, non-English collection, web-based collection, question answering. CSE 8337 Spring 2007 31 TREC Advantages Large scale (compared to a few MB in/CSE 8337 Spring 2007 35 Sample Query (with SGML) Tipster Topic Description Number: 066 Domain: Science and Technology Topic: Natural Language Processing Description: Document will identify a type of natural language processing technology which is being developed or marketed in/


© Chinese University, CSE Dept. Distributed Systems / 10 - 1 Distributed Systems Topic 10: Cloud Computing Systems Dr. Michael R. Lyu Computer Science.

Paradigm 4. Cloud Computing In Practice (Amazon AWS) 5. Summary © Chinese University, CSE Dept. Distributed Systems / 10 - 3 1 What Is Cloud Computing?  Cloud computing is a hot buzzword recently –More and more companies have claimed their products are cloud computing based  So, what is cloud computing –A new name of an old technology created by marketing people? –A new technology focusing on higher-speed computing/


University of Southern California Center for Software Engineering CSE USC 1 COCOMO Suite Barry Boehm CSCI 510 Fall 2011.

Collaboration Efficiency Architecture/Risk Resolution Prepositioning Assets RAD Capability and Experience University of Southern California Center for Software Engineering CSE USC 29 Constructive Productivity Model: COPROMO Determines impact of technology investments on model parameter settings Predicts the most cost effective allocation of investment resources in new technologies intended to improve productivity Uses COCOMO II, COPSEMO, and CORADMO models as assessment framework –Well-calibrated to 161/


Lecture 2. Topics in High- Throughput Sequencing (Basics) The Chinese University of Hong Kong CSCI5050 Bioinformatics and Computational Biology.

cse-cuhk | Fall 201518 Image source: http://www.existencegenetics.com/fullgenome.php New bottleneck: bioinformatics Last update: 6-Sep-2015CSCI5050 Bioinformatics and Computational Biology | Kevin Yip-cse/ Kevin Yip-cse-cuhk | Fall 201520 Third generation sequencing technologies Last update: 6-Sep-2015CSCI5050 Bioinformatics and Computational Biology | Kevin Yip-cse-cuhk | /: If expression levels of different genes or the same gene in different datasets are to be compared – Longer genes are expected/


1 CSE 8337 – Spring 2007Project 2 – Deep Web Manoj Ravuru - Student ID 22508269 Deep (Invisible) Web - Manoj Ravuru.

technology, engineering, and mathematics (STEM) education and research.http://nsdl.org/  NSDL provides an organized point of access to STEM content that is aggregated from a variety of other digital libraries, NSF- funded projects, and NSDL-reviewed web sites.  NSDL also provides access to services and tools that enhance the use of this content in a variety of contexts. 28 CSE/.  The deep Web is the largest growing category of new information on the Internet.  Serious information seekers can no longer/


CSE 595, Winter 2000 1 January 20 Topics (Design and Evaluation Part 2) zAdministrivia ynext week’s readings on web (focus: technology); name tag usability;

not be imposed inappropriately on the users. zAllows us to gain broader understanding of technology in use (see traditional methods) zJoint exploration of technology and work allows both users and designers to participate in new designs. How Usability Borrows from Anthropological Methods Usability Research: Anthropology of the Workplace Domenick J. Dellino CSE 595, Winter 2000 17 Overview zTraditional anthropological methods yVerbal methods yNon-verbal methods zAnthropological/


Computational Science & Engineering Department CSE The Software Engineering Group SESP Software Analysis & Tools David J Worth and Chris Greenough 10th.

in the applications of advanced software engineering techniques in computational science. Computational Science & Engineering Department CSE The Software Engineering Group Elements of SESP  Software Quality Assurance  Processes for Legacy Software  Technology Watch  Evaluation of Methodologies, Tools and Technology/ Fortran 95 codes.  These tools can be used in a range of ways:  Quality Assurance - enforcing coding standards  Porting to new platforms  Converting from fixed format Fortran 77 to free/


OSU – CSE 2014 Supporting Data-Intensive Scientific Computing on Bandwidth and Space Constrained Environments Tekin Bicer Department of Computer Science.

/O –Only compressed data No benefit for storage space 29 OSU – CSE 2014 Compression: Dense Storage Generated compressed splits are appended locally New offset addresses are calculated –Requires metadata exchange All compressed data blocks written/ for in-transit) –Utilization of advanced network technologies –Software-Defined Networking (SDN) Long running nature of large-scale app. –Failures are inevitable –Exploit features of processing structure 45 OSU – CSE 2014 Experiments: Hybrid Cloud 46 OSU – CSE 2014/


© Chinese University, CSE Dept. Distributed Systems / 10 - 1 Distributed Systems Topic 10: Cloud Computing Systems Dr. Michael R. Lyu Computer Science.

cloud computing based  So, what is cloud computing –A new name of an old technology created by marketing people? –A new technology focusing on higher-speed computing? –A new programming paradigm? © Chinese University, CSE Dept. Distributed Systems / 10 - 4 1 What Is Cloud/.g., the Web servers, the SQL servers –If the SQL servers are overloaded, the administrator must add in a new one © Chinese University, CSE Dept. Distributed Systems / 10 - 24 2.1 If Something Going Wrong… Web Server Windows IIS App Server/


© Chinese University, CSE Dept. Distributed Systems / 9 - 1 Distributed Systems Topic 9: Mobile and Ubiquitous Computing Dr. Michael R. Lyu Computer Science.

-driven: mobile and ubiquitous systems © Chinese University, CSE Dept. Distributed Systems / 9 - 21 1.3 New Services with Ubiquitous Computing  Services are an important counterpart to technologyNew services increase the value for the user  Examples:/(room) coordinates. Bat identity disclosed Ultra Wide Band Multilateration from reception of radio pulses Receiver in stallations 15cmRelative (room) coordinates Tag identity disclosed Active Badge Infrared sensingSunlight or fluorescent light Room /


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