7,202 research outputs found
Autonomous cooperation of heterogeneous platforms for sea-based search tasks
No full textThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 87-90).Many current methods of search using autonomous marine vehicles do not adapt to changes in mission objectives or the environment. A cellular-decomposition-based framework for cooperative, adaptive search is proposed that allows multiple search platforms to adapt to changes in both mission objectives and environmental parameters. Software modules for the autonomy framework MOOS-IvP are described that implement this framework. Simulated and experimental results show that it is feasible to combine both pre-planned and adaptive behaviors to eectively search a target area.by Andrew J. Shafer.M.Eng
Remote lab experiments models: A comparative study
No full textRemote Laboratory Experimentation (RLE) is a technique used in modern engineering laboratories to help academic researchers and students perform laboratory experiments remotely through the Internet. Many RLE implementations are available with different characteristics. In this work, some recent RLE implementations models are analyzed, the services provided by each model are discussed, and these models are compared and evaluated. © 2006 TEMPUS Publications.ABDULSALAM AO, 2003, P 2 INT C PRINC PRAC, P109; Candelas FA, 2003, INT J ENG EDUC, V19, P363; Chen S.H., 1999, P 1999 IEEE HONG KON, VII, P756; COOPER M, ASCILITE 2002 C P; DELALAMO JA, 2003, LAB WEB, P49; ELHAJJ A, 2004, CIBITIC C MAY BEIR L; FJELDLY TA, 2003, LAB WEB, P1; Henry J, 2003, INT J ENG EDUC, V19, P403; HUA J, 2003, P ASEE NEW ENGL REG; LELEVE A, 2003, ITHET 03 MARR MOROCC; McKee GT, 2003, INT J ENG EDUC, V19, P356; NAGHEDOLFEIZI M, 2002, P 2002 ASEE ANN C EX; Pastor R, 2003, INT J ENG EDUC, V19, P445; Pfleeger S.L., 2001, SOFTWARE ENG THEORY; RODRIGUEZ JA, 1999, INT C ACC LARG EXP P, P483; Serri A, 2003, INT J ENG EDUC, V19, P420; Tan KK, 2003, INT J ENG EDUC, V19, P503; ZIMMER T, 2003, LAB WEB, P8919161
WTP : electrical engineering and computer science outreach for high school students
No full textThesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.Includes bibliographical references (leaves 47-48).This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.The Women's Technology Program (WTP) is a new residential summer school for high school students to live at MIT and study electrical engineering and computer science (EECS). In this thesis I present background research evaluating the state of the current gender imbalance in EECS as well as research describing other initiatives for improvement. I then describe the design and implementation of WTP at a level that it could be replicated by other universities. Finally, I analyze the results of WTP's first year and present suggestions for future development.by Douglas J. Ricket.M.Eng
The prediction of risk of welding defects at the procedure stage using computer knowledge based systems.
No full textThe purpose of this research was to develop a methodology to evaluate the
likelihood of defective welds as a procedure proposal is entered into a computerised
database system. The approach developed was assessed for hydrogen induced cold
cracking (HICC) since this defect is a major problem in welding technology. An
expert system was used to implement the methodology.
The information for the expert system knowledge base was partly gathered
from previous work in this area. The technique necessary to analyze and incorporate
knowledge was organized in a structured form including the major area to be
attacked.
The final system was implemented using an expert system shell. The global
task of analyzing a welding procedure was broken-down into three different stages. A
welding procedure specification comprised the first stage. In the second stage, an
interface between the expert system software and a database was implemented.
Having proved the feasibility and advantages of integrating the expert system shell
with a relational database the remainder of the work was devoted to the development
of a strategy for operating the expert system and in particular dealing with
uncertainty.
Detailed validation of the knowledge base and the system as a whole were
confined to a single defect type in the belief that the modularity of the system would
allow extension to other defect types and the strategies developed in the present work
should it be applicable. Results have shown that the system performs well in the
specified area. Validation trials using simulated welding conditions generated by the
expert system have shown a very good correlation with practical results for different
classes of steels. The integration between approved welding procedure records and
procedure qualification records could be the basis for a complete welding database
management. Practical application of this system could be extended for educational
purpose and training facilities
Collaborative caching priority for processing requests in MANETs
No full textAccessing distant sources in MANETs leads to poor performance and sometimes impossible due to regular disconnection of mobile hosts. Several approaches have been proposed to improve data accessibility and reduce delay in serving requests. These approaches adopted the collaborative caching techniques, enabling various mobile hosts to cache and share data items in their local caches. However, processing requests based on their classification have not been tackled in previous works to reduce the average delay. In this paper, we propose a collaborative caching priority approach, which serves requests based on their classifications either priority or normal. This is to ensure that priority requests are served with minimum cache discovery overhead and with less delay in fetching data items that are cached in MANETs. The experimental results show that the proposed approach improved the performance of collaborative caching and outperformed the cooperative and adaptive system (COACS), with a decrement of 30.42percent in average delay and an increment of 21.26percent in hit ratio. © 2013 Elsevier Ltd.[Anonymous], 2009, NS 2 SIMULATOR; Artail H, 2008, IEEE T MOBILE COMPUT, V7, P61; Bettstetter C, 2003, IEEE VTS VEH TECHNOL, P2286; Cao GH, 2003, IEEE T KNOWL DATA EN, V15, P1251; Chapra S., 2002, NUMERICAL METHODS EN; Denko MK, 2007, COOPERATIVE DATA CAC; Denko MK, 2009, IEEE SYST J, V3, P499, DOI 10.1109-JSYST.2009.2032987; Du Y, 2009, AD HOC NETW, V7, P579, DOI 10.1016-j.adhoc.2008.07.007; Hu HB, 2005, PROC INT CONF DATA, P403; Idris A, 2005, P 3 INT S TEL IST 05, P987; Kang E, 2008, LECT NOTES COMPUT SC, V5226, P610; Kumar P, 2010, J COMPUTER SCI, V7, P1694; Kuppusamy P, 2011, INT J COMPUTER APPL, V29, P22; Marias GF, 2005, INT C APPL COMP; Memon MS, 2009, INT J COMPUTER SCI N, V9, P192; Radhamani G, 2010, COMM COM INF SC, V90, P439; Safa H, 2010, J NETW COMPUT APPL, V33, P168, DOI 10.1016-j.jnca.2009.08.003; Safa H, 2010, INT J COMMUN SYST, V23, P463, DOI 10.1002-dac.1084; Safa Haidar, 2011, P IEEE INT C SEL TOP; Westphal C, 2005, P 6 ACM INT S MOB AD, P26, DOI 10.1145-1062689.1062694; Yin LZ, 2004, IEEE INFOCOM SER, P2537; Yin LZ, 2006, IEEE T MOBILE COMPUT, V5, P77; Young CR, 2005, LECT NOTES COMPUT SC, V3824, P693; Younis O., 2004, INFOCOM 2004; Yu JY, 2005, IEEE COMMUN SURV TUT, V7, P32, DOI 10.1109-COMST.2005.14233330
Determining articulator configuration in voiced stop consonants by matching time-domain patterns in pitch periods
No full textThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 99-104).In this thesis I will be concerned with linking the observed speech signal to the configuration of articulators. Due to the potentially rapid motion of the articulators, the speech signal can be highly non-stationary. The typical linear analysis techniques that assume quasi-stationarity may not have sufficient time-frequency resolution to determine the place of articulation. I argue that the traditional low and high-level primitives of speech processing, frequency and phonemes, are inadequate and should be replaced by a representation with three layers: 1. short pitch period resonances and other spatio-temporal patterns; 2. articulator configuration trajectories; 3. syllables. The patterns indicate articulator configuration trajectories (how the tongue, jaws, etc. are moving), which are interpreted as syllables and words. My patterns are an alternative to frequency. I use short time-domain features of the sound waveform, which can be extracted from each vowel pitch period pattern, to identify the positions of the articulators with high reliability. These features are important because by capitalizing on detailed measurements within a single pitch period, the rapid articulator movements can be tracked. No linear signal processing approach can achieve the combination of sensitivity to short term changes and measurement accuracy resulting from these nonlinear techniques. The measurements I use are neurophysiologically plausible: the auditory system could be using similar methods. I have demonstrated this approach by constructing a robust technique for categorizing the English voiced stops as the consonants B, D, or G based on the vocalic portions of their releases. The classification recognizes 93.5%, 81.8% and 86.1% of the b, d and g to ae transitions with false positive rates 2.9%, 8.7% and 2.6% respectively.by Attila Kondacs.Ph.D
Rapid configuration of discourse and dialog management in conversational systems
No full textThesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.Includes bibliographical references (p. 70).This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.by Sterling J. Crockett.M.Eng
Multi-domain sketch understanding
No full textThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 121-128).by Christine J. Alvarado.Ph.D
Reconfiguration of a value function-based guidance system
No full textThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.Includes bibliographical references (leaves 109-111).This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.by Mario J. Valenti.S.M
Spreadsheet applications in electrical engineering: A review
No full textSpreadsheets were originally intended for business applications like finance, accounting, and so on. However, the ubiquity and simplicity of spreadsheet programs, in addition to their rich library of built-in functions, plotting capabilities, and other provided utilities, have made them attractive tools for education in engineering as well as other disciplines. This paper presents a brief description of the history of spreadsheets development, and a review of various applications that spreadsheets have in electrical engineering education, especially in the areas of control, electromagnetism, communications and signal processing, electronics, circuits and digital systems, neural networks, power systems, and other fields. The use of spreadsheets in mathematics and other sciences is briefly reviewed, and some possible future trends and applications are suggested.Abramovich S., 1995, Journal of Computers in Mathematics and Science Teaching, V14; ABRAMOVICH S, 1995, INT J MATH ED SCI TE, V26, P347, DOI 10.1080-0020739950260305; ABRAMOVICH S, 1995, MATH ED, V6, P34; Anneberg L, 1999, IEEE T EDUC, V42, P114, DOI 10.1109-13.762940; ANTONINI R, P INT C NEUR NETW IJ; ARGANBRIGHT D, 1985, MATH APPL ELECT SPRE; ARGANBRIGHT D, 1995, PRACTICAL HDB SPREAD; BAICHER GS, 1996, ENG SC ED J FEB; BAICHER GS, 1995, IEE C TEACHING DSP U; *BANT, 1988, P FRONT ED C FIE 88; BARRON M, 2001, IEEE INT S EL COMP A; BARRON M, 1999, P IEEE INT S EL COMP; BARRON M, 2000, IEEE INT S EL COMP A; BEMLEY JL, P INT C NEUR NETW IJ; BILLO J, 1997, EXCEL CHEM; BISSELL C, 1989, IEE REV JUL; BOYE AJ, 1993, IEEE T ED FEB; BRUNKHORST RF, 1997, P 17 IEEE NPSS S FUS; CHAABAN FB, P FRONT ED C FIE 94; CHAPMAN, 1993, INT J ELECT ENG ED, V30, P211; DIAB H, 1998, INT J ENG ED, V14; DOAK RB, 1996, P FRONT ED C FIE 96; EID JC, 1988, P 4 IEEE SEM THERM T; ELHAJJ A, 1998, IEEE T ED NOV; ELHAJJ A, 1991, IEEE T ED FEB; ELHAJJ A, 1995, J COMPUTER APPL ENG, V3, P205; ELHAJJ A, 2002, INT J ENG ED, V18; ELHAJJ A, 1991, INT C MICR CAIR EG, P284; ELHAJJ A, 1995, IEEE T ED NOV; El-Hajj A., 1990, International Journal of Applied Engineering Education, V6; ELHAJJ A, IN PRESS IEEE T ED; El-Hajj A, 2000, SIMULATION, V75, P82, DOI 10.1177-003754970007500202; ELHAJJ A, 1992, IEE P CIRC DEV SYST; ELHAJJ A, 2000, IEEE CONTROL SYS DEC; ESTRADA HV, P IEEE SOUTH 89 EN I; Evans JR, 2000, INFORMS T ED, V1, P27; FEINBERG R, 1985, AM J PHYS, V53; FISET R, P IEEE 2001 INT GEOS; FORBES RG, 1998, P 11 INT VAC MICR C; FOSTER EM, 1990, P 1990 IEEE SO TIER; FRASER CJ, 1996, INT J ENG ED, V12; HARTMANN MJ, 1992, 1992 IEEE NUCL SCI S; HILLS, 1986, IEEE T ANTENNAS PROP, V14, P237; HOEFT LO, 1996, IEEE INT S EL COMP A; Jewell T. K., 1987, International Journal of Applied Engineering Education, V3; JOHN EG, 1998, INT J ENG ED, V14; KABALAN KY, 2002, INT J ENG ED, V18; KABALAN KY, 1996, INT J ENG ED, V12; KABALAN KY, 1996, IEE P SCI MEAS TECHN; KHARAB A, 1997, IEEE T ED FEB; KNAB JJ, 2000, P 21 CENT MIL COMM C; KOHLER E, 1963, DICT ACCOUNTANTS; KUMAR R, P FRONT ED C FIE 97; LALLO P, 1997, P MILCON 97 NOV; LAMONT JW, 1990, P 22 ANN N AM POW S; LWIN Y, 2000, INT J ENG ED, V16; Malasri S., 1987, International Journal of Applied Engineering Education, V3; Malasri S., 1987, International Journal of Applied Engineering Education, V3; MATTESSICH R, 1964, SIMULATION FIRM BUDG; MATTESSICK R, 1961, ACCOUNT REV, P384; MISNER C, 1991, SPREADSHEET PHYS; MORISHITA Y, 2001, INT J ENG ED, V17; MORLEY LA, C 1990 IEEE IND APPL; MOUNTAIN JR, 2000, P FRONT ED C FIE 200; Neuwirth E., 1995, Journal of Computers in Mathematics and Science Teaching, V14; NEUWIRTH E, 1990, TEACHING STAT DEC; NOEBAUER G, 2001, P 17 IEEE S SEM THER; Phang CH, 1997, IEEE T EDUC, V40, P213, DOI 10.1109-13.618032; PIELE D, 1990, INTRO STAT SPREADSHE; POWER J, BRIEF HIST SPREADSHE; RAO ND, 1992, P 33 MIDW S CIRC SYS; REFFOLD CN, 1995, INT J ENG ED, V11; ROGNE T, 1993, P 5 EUR C POW EL APP; SAUL PH, 1991, ELECTRON ENG, pS49; SCHALKOFF RJ, 1986, IEEE T ED FEB; SCHOCH KF, 1998, IEEE ELECT INSUL FEB; SCHWARTZ RF, 1988, P FRONT ED C FIE 88; *SETI LEAG, SETI SPREADSH TEMPL; SHAPIRO FR, 1995, IEEE T ED NOV; SHAPIRO FR, 1993, IEE ET ED MAY; SMITH R, 1992, J EXCELLENCE COLL TE, V3, P131; SMITH R, 1998, J EXCELLENCE COLL TE, V3, P131; SMITH R, 1995, P 1 AS TECHN C MATH; SPOONER RL, 1988, P OCEANS 88 PARTN MA; STANTON BJ, 1993, IEEE T ED FEB; SVOBODA JA, 1992, IEEE T ED AUG; Tan-Atichat J., 1987, International Journal of Applied Engineering Education, V3; UMPHRESS DA, 2002, P 15 C SOFTW ENG ED; VANDERWALT PW, P 1998 S AFR S COMM; WALTER DC, 1990, P 1990 S APPL COMP A; WANG DY, 1993, P 1993 PART ACC C MA; XU W, 1999, IEEE COMPUTE APP JAN; YAMANI A, 2001, IEEE T ED AUG; YIUKWONG W, 1992, INT J ELEC ENG EDUC, V29, P1654
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