Relevant bibliographies by topics / Power processing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Power processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Power processing"

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Moraes, Carlos H. V. de, Maurilio P. Coutinho, Germano Lambert-Torres, and Luiz Eduardo Borges da Silva. "Real Intelligent Alarm Processing Implementations in Power Control Centers." International Journal of Computer and Electrical Engineering 6, no. 2 (2014): 95–100. http://dx.doi.org/10.7763/ijcee.2014.v6.801.

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TAKAHASHI, Ryo, Shun-ichi AZUMA, Mikio HASEGAWA, Hiroyasu ANDO, and Takashi HIKIHARA. "Power Processing for Advanced Power Distribution and Control." IEICE Transactions on Communications E100.B, no. 6 (2017): 941–47. http://dx.doi.org/10.1587/transcom.2016ebn0005.

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Scheidegger, R., W. Santiago, K. E. Bozak, L. R. Pinero, and A. Birchenough. "(Invited) High Power SiC Power Processing Unit Development." ECS Transactions 69, no. 11 (October 2, 2015): 13–19. http://dx.doi.org/10.1149/06911.0013ecst.

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Alarcon-Rojo, A. D., H. Janacua, J. C. Rodriguez, L. Paniwnyk, and T. J. Mason. "Power ultrasound in meat processing." Meat Science 107 (September 2015): 86–93. http://dx.doi.org/10.1016/j.meatsci.2015.04.015.

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Matsumoto, Yuki, Tomoya Tanaka, Koji Sonoda, Kensuke Kanda, Takayuki Fujita, and Kazusuke Maenaka. "Low Power ECG Processing ASIC." IEEJ Transactions on Sensors and Micromachines 134, no. 5 (2014): 108–13. http://dx.doi.org/10.1541/ieejsmas.134.108.

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Lei Wang and N. R. Shanbhag. "Low-power MIMO signal processing." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 11, no. 3 (June 2003): 434–45. http://dx.doi.org/10.1109/tvlsi.2003.812367.

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Marshall, Larry, and Gabriel Kra. "The Processing Power of Light." Optics and Photonics News 13, no. 3 (March 1, 2002): 38. http://dx.doi.org/10.1364/opn.13.3.000038.

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MATSUMOTO, YUKI, TOMOYA TANAKA, KOJI SONODA, KENSUKE KANDA, TAKAYUKI FUJITA, and KAZUSUKE MAENAKA. "Low-Power ECG Processing ASIC." Electronics and Communications in Japan 99, no. 4 (March 16, 2016): 13–20. http://dx.doi.org/10.1002/ecj.11778.

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Schmid Mast, Marianne, Mahshid Khademi, and Tristan Palese. "Power and social information processing." Current Opinion in Psychology 33 (June 2020): 42–46. http://dx.doi.org/10.1016/j.copsyc.2019.06.017.

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SPIRIDONOV, VALERY. "COHERENT SIGNALS PROCESSING BY ANALOG LOGICAL ELEMENTS." International Journal of Wavelets, Multiresolution and Information Processing 05, no. 02 (March 2007): 333–50. http://dx.doi.org/10.1142/s0219691307001781.

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The result of action of the matched linear filters that are optimal for detection of given signals is maximization of the signal-to-noise ratio [Formula: see text], where PS max is the peak power of the signal, and [Formula: see text] is the average power of a noise. However, maximization of SNR, as a fraction, is obtained formally by the ratio [Formula: see text], where [Formula: see text] is the average power of the signal. PN min is the minimum, in a certain sense, the power of the noise. When n coherent pulses are processed, it is proposed to suppose that PN min is the minimum instantaneous power of available noise powers. In this case, the processing scheme represents the selector that constantly chooses the voltage with the minimum noise instantaneous power and transmits it to output. As shown in the paper, it is possible to perform this selection with acceptable accuracy and to improve SNR and, hence, probabilistic characteristics of detection in comparison with addition of coherent pulses. This improvement is obtained by using the adder input noises when their instantaneous powers are less than the instantaneous power of the adder output noise.
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Dissertations / Theses on the topic "Power processing"

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Gandu, Kondalarao. "Power processing for electrostatic microgenerators." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/6995.

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Microgenerators are electro-mechanical devices which harvest energy from local environmental from such sources as light, heat and vibrations. These devices are used to extend the life-time of wireless sensor network nodes. Vibration-based microgenerators for biomedical applications are investigated in this thesis. In order to optimise the microgenerator system design, a combined electro-mechanical system simulation model of the complete system is required. In this work, a simulation toolkit (known as ICES) has been developed utilising SPICE. The objective is to accurately model end-to-end microgenerator systems. Case-study simulations of electromagnetic and electrostatic microgenerator systems are presented to verify the operation of the toolkit models. Custom semiconductor devices, previously designed for microgenerator use, have also been modelled so that system design and optimisation of complete microgenerator can be accomplished. An analytical framework has been developed to estimate the maximum system effectiveness of an electrostatic microgenerator operating in constant-charge and constant-voltage modes. The calculated system effectiveness values are plotted with respect to microgenerator sizes for different input excitations. Trends in effectiveness are identified and discussed in detail. It was found that when the electrostatic transducer is interfaced with power processing circuit, the parasitic elements of the circuit are reducing the energy generation ability of the transducer by sharing the charge during separation of the capacitor plates. Also, found that in constant-voltage mode the electrostatic microgenerator has a better effectiveness over a large operating range than constant-charge devices. The ICES toolkit was used to perform time-domain simulation of a range of operating points and the simulation results provide verification of the analytical results.
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Jayasooriya, Sriyani Dhammika. "High power ultrasound in meat processing /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe19070.pdf.

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Farag, Emad N. "VLSI low-power digital signal processing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq22199.pdf.

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Guo, Yan. "Real-time parallel processing for power applications." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=41602.

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The thesis describes the design, implementation and applications of two multiprocessor systems. A Multiprocessor Controller and an Extensible Modular Multiprocessor System have been built and have been used to solve problems of real-time digital control and real-time digital simulation in the power electronics and power systems areas.
The Multiprocessor Controller, built around three fixed-point digital signal processors(DSPs), has been used in real-time parallel processing to control a voltage-source type pulse-width-modulated power converter. In a pole-placement control strategy with a state observer, the converter has been stabilized with its dc link capacitance reduced by a factor of as much as 120, thus making the converter a potentially practical device for High Voltage direct current transmission.
The Extensible Modular Multiprocessor System consists of modules which can be easily added in a mesh architecture to provide more computing power. Each module consists of one or two autonomous processing units (PUs) and the supporting control/interface circuits. A prototype of three modules (five floating-point DSPs) has been built and used in parallel processing to simulate a small power system with two turbo-generators operating in real time as a Transient Network Analyzer(TNA).
The power system equations are partitioned by using a new method in which the system is modeled as an interconnection of functional blocks. The power system is simulated by an interconnection of DSP modules, with one module simulating one block. The results of elaborate tests demonstrate the correctness of: (a) the new partitioning method, and (b) the design and operation of the Extensible Modular Multiprocessor System. The results further show that the new partitioning method together with the Extensible Modular Multiprocessor System form a promising approach to digitize the Transient Network Analyzer.
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Cid-Pastor, Ángel. "Energy processing by means of power gyrators." Doctoral thesis, Universitat Politècnica de Catalunya, 2005. http://hdl.handle.net/10803/6337.

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En aquesta tesi doctoral es presenta un mètode sistemàtic per a la síntesi de giradors de potència. A partir d'aquest mètode s'han generat i classificat diverses estructures giradores. Cadascun d'aquests giradors, que poden tenir característiques diferents, pot ser útil en diferents aplicacions.
Des d'un punt de vista circuital, es tracta d'una estructura de dos ports que es caracteritza per algun d'aquests dos grups d'equacions: 1) I1=gV2, I2=gV1 , 2) V1=rI2, V2=rI1, on I1, V1, i I2, V2 són els valors en contínua corresponents als valors de tensió i corrent als ports d'entrada i sortida respectivament, essent g (r) la conductància (resistència) del girador.
En aquesta tesi, les estructures giradores de potència s'han classificat en funció de com transformen una font d'excitació al port d'entrada en la seva representació dual al port de sortida. Segons aquesta classificació es poden distingir tres tipus de giradors: 1) girador de potència de tipus G, 2) girador de potència de tipus G amb corrent d'entrada controlada i 3) giradors de potència de tipus R. Les categories 1 i 2 són les dues possibles solucions de síntesi de les equacions (1), mentre que la categoria 3 correspon a la solució de síntesi de les equacions (2).
A més a més, no existeixen estudis sistemàtics on basant-se en les equacions de definició s'arribi finalment a una verificació experimental. En aquesta tesi es presenta el disseny i anàlisi dels giradors que s'han presentat. L'anàlisi cobreix exhaustivament l'estudi tant del comportament dinàmic com estàtic dels giradors presentats. Aquests giradors es poden considerar com estructures canòniques per al processat de potència.
A més a més, es presenten algunes funcions bàsiques del processat de potència realitzades amb giradors de potència. Com per exemple: conversió tensió-corrent, corrent-tensió, adaptació d'impedàncies i regulació de tensió.
Les característiques de cada girador depenen no només de la topologia convertidora sinó també del funcionament del control del convertidor. S'han investigat dos tècniques de control: el control en mode lliscant i el control no lineal basat en dinàmica zero. Per tant, les estructures giradores proposades poden treballar tant a freqüència constant com a freqüència variable.
Finalment s'han verificat les previsions teòriques mitjançant simulació i verificació experimental.
In this thesis, a systematic approach to the synthesis of power gyrators is presented. Based on this approach, several gyrator structures can be generated and classified. Each of these gyrators has its own features and is suitable of different applications.
From a circuit standpoint, a power gyrator is a two-port structure characterized by any of the following two set of equations: 1) I1=gV2, I2=gV1 , 2) V1=rI2, V2=rI1, where I1, V1, and I2, V2 are DC values of current and voltage at input and output ports respectively and g ( r ) is the gyrator conductance ( resistance ).
In this thesis, power gyrator structures are classified by the manner they transform an excitation source at the input port into its dual representation at the output port. Based on this classification, there exist three types of power gyrators: 1) power gyrators of type G, 2) power gyrators of type G with controlled input current and 3) power gyrators of type R. Categories 1 and 2 are the two possible synthesis solutions to the set of equations ( 1 ) while category 3 corresponds to the synthesis solution of ( 2 ).
Thus far, no systematic works have been done starting at the definition equations and ending at the experimental verification. In this thesis, the analysis and design for the disclosed power gyrators are presented. The analysis covers exhaustingly the study of both static and dynamic behavior of the reported power gyrators. These power gyrators presented can be considered as canonical structures for power processing.
Thus, some basic power processing functions done by the presented power gyrators are reported. Namely, voltage to current conversion, current to voltage conversion, impedance matching and voltage regulation.
The performance characteristics of a power gyrator depend not only on the circuit topology but also depend on the converter control operation.
Hence, two main control schemes are investigated, namely, sliding-mode control schemes and zero-dynamics-based PWM nonlinear control. Therefore, the proposed gyrator structures can operate indistinctly at constant or at variable switching frequency.
In addition, experimental and computer simulation results of the power gyrators presented are given in order to verify the theoretical predictions.
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Zaidi, Syed Izhar Hussain. "Power Efficient Signal Processing in Reconf0igurable Computing." Thesis, University of Bristol, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520204.

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Ebrahimian, Mohammad Reza. "Power system operations : state estimation distributed processing /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Ramadass, Yogesh Kumar. "Energy processing circuits for low-power applications." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/63026.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 199-205).
Portable electronics have fueled the rich emergence of new applications including multi-media handsets, ubiquitous smart sensors and actuators, and wearable or implantable biomedical devices. New ultra-low power circuit techniques are constantly being proposed to further improve the energy efficiency of electronic circuits. A critical part of these energy conscious systems are the energy processing and power delivery circuits that interface with the energy sources and provide conditioned voltage and current levels to the load circuits. These energy processing circuits must maintain high efficiency and reduce component count for the final solution to be attractive from an energy, size and cost perspective. The first part of this work focuses on the development of on-chip voltage scalable switched capacitor DC-DC converters in digital CMOS processes. The converters are designed to deliver regulated scalable load voltages from 0.3V up to the battery voltage of 1.2V for ultra-dynamic voltage scaled systems. The efficiency limiting mechanisms of these on-chip DC-DC converters are analyzed and digital circuit techniques are proposed to tackle these losses. Measurement results from 3 test-chips implemented in 0.18pm and 65nm CMOS processes will be provided. The converters are able to maintain >75% efficiency over a wide range of load voltage and power levels while delivering load currents up to 8mA. An embedded switched capacitor DC-DC converter that acts as the power delivery unit in a 65nm subthreshold microcontroller system will be described. The remainder of the thesis deals with energy management circuits for battery-less systems. Harvesting ambient vibrational, light or thermal energy holds much promise in realizing the goal of a self-powered system. The second part of the thesis identifies problems with commonly used interface circuits for piezoelectric vibration energy harvesters and proposes a rectifier design that gives more than 4X improvement in output power extracted from the piezoelectric energy harvester. The rectifier designs are demonstrated with the help of a test-chip built in a 0.35pm CMOS process. The inductor used within the rectifier is shared efficiently with a multitude of DC-DC converters in the energy harvesting chip leading to a compact, cost-efficient solution. The DC-DC converters designed as part of a complete power management solution achieve efficiencies of greater than 85% even in the micro-watt power levels output by the harvester. The final part of the thesis deals with thermal energy harvesters to extract electrical power from body heat. Thermal harvesters in body-worn applications output ultra-low voltages of the order of 10's of milli-volts. This presents extreme challenges to CMOS circuits that are powered by the harvester. The final part of the thesis presents a new startup technique that allows CMOS circuits to interface directly with and extract power out of thermoelectric generators without the need for an external battery, clock or reference generators. The mechanically assisted startup circuit is demonstrated with the help of a test-chip built in a 0.35pm CMOS process and can work from as low as 35mV. This enables load circuits like processors and radios to operate directly of the thermoelectric generator without the aid of a battery. A complete power management solution is provided that can extract electrical power efficiently from the harvester independent of the input voltage conditions. With the help of closed-loop control techniques, the energy processing circuit is able to maintain efficiency over a wide range of load voltage and process variations.
by Yogesh Kumar Ramadass.
Ph.D.
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Denning, Paul Michael. "High power laser surface processing of hydroxyapatite." Thesis, University of Liverpool, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399182.

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Nisar, Muhammad Mudassar. "Robust low-power signal processing and communication algorithms." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33872.

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This thesis presents circuit-level techniques for soft error mitigation, low-power design with performance trade-off, and variation-tolerant low-power design. The proposed techniques are divided into two broad categories. First, error compensation techniques, which are used for soft error mitigation and also for low-power operation of linear and non-linear filters. Second, a framework for variation tolerant low-power operation of wireless devices is presented. This framework analyzes the effects of circuit "tuning knobs" such as voltage, frequency, wordlength precision, etc. on system performance, and power efficiency. Process variations are considered as well, and the best operating tuning knob levels are determined, which results in maximum system wide power savings while keeping the system performance within acceptable limits. Different methods are presented for variation-tolerant and power-efficient wireless communication. Techniques are also proposed for application driven low-power operation of the OFDM baseband receiver.
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Books on the topic "Power processing"

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SGS-Thomson. Audio power & processing ICs databook. [s.l.]: SGS-Thomson, 1991.

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Rinearson, Peter. Word processing power with Microsoft Word. 3rd ed. Redmond, Wash: Microsoft Press, 1989.

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Lasala, Jennifer De. WordPerfect power: Word processing made easy. 2nd ed. Blue Ridge Summit, PA: Windcrest, 1991.

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Rinearson, Peter. Word processing power with Microsoft Word. Bellevue, Wash: Microsoft Press, 1985.

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Rinearson, Peter. Word processing power with microsoft word. Bellevue [Wash.]: Microsoft, 1985.

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Haddad, Sandro A. P., and Wouter A. Serdijn. Ultra Low-Power Biomedical Signal Processing. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9073-8.

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Kamrul Islam, Syed, and Mohammad Rafiqul Haider. Sensors and Low Power Signal Processing. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-0-387-79392-4.

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Rinearson, Peter. Word processing power with Microsoft Word. 2nd ed. Redmond, Wash: Microsoft Press, 1986.

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Islam, Syed Kamrul. Sensors and low power signal processing. New York: Springer, 2010.

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Dave, Greely, and Sawyer Ben, eds. MP3 power! with Winamp. Cincinnati, Ohio: Muska & Lipman, 1999.

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Book chapters on the topic "Power processing"

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Greenberg, Ira, Dianna Xu, and Deepak Kumar. "Expressive Power of Data." In Processing, 149–85. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4465-3_5.

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Riley, Ronald, Brian Schott, Joseph Czarnaski, and Sohil Thakkar. "Power-Aware Acoustic Processing." In Information Processing in Sensor Networks, 566–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36978-3_38.

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Chonavel, Thierry. "Power Spectrum of WSS Processes." In Statistical Signal Processing, 23–29. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0139-0_3.

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Yılmaz, Gürkan, and Catherine Dehollain. "Wireless Power Transfer." In Analog Circuits and Signal Processing, 23–55. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49337-4_3.

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Monticelli, A. "Network Topology Processing." In State Estimation in Electric Power Systems, 143–59. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4999-4_6.

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Young, David J., and James R. McDonald. "Alarm processing." In Intelligent knowledge based systems in electrical power engineering, 119–54. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6387-7_7.

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Koranne, Sandeep. "The Power Processing Element (PPE)." In Practical Computing on the Cell Broadband Engine, 17–34. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0308-2_2.

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Loyal, Steven, and Stephen Quilley. "Processing Asylum Seekers." In State Power and Asylum Seekers in Ireland, 95–112. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91935-5_5.

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Samani, Afshin. "Power Spectrum." In An Introduction to Signal Processing for Non-Engineers, 39–53. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429263330-6.

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Gan, Woon Siong. "Convolution, Correlation, and Power Spectral Density." In Signal Processing and Image Processing for Acoustical Imaging, 21–30. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-5550-8_6.

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Conference papers on the topic "Power processing"

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Zhou, Quming, Lin Zhong, and Kartik Mohanram. "Power signal processing." In the 2007 international symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1283780.1283816.

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"Power-aware signal processing." In 2006 IEEE International Solid-State Circuits Conference. Digest of Technical Papers. IEEE, 2006. http://dx.doi.org/10.1109/isscc.2006.1696026.

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Metcalf, Kenneth J. "Thermionic power system power processing and control." In Proceedings of the ninth symposium on space nuclear power systems. AIP, 1992. http://dx.doi.org/10.1063/1.41804.

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Papirla, Veera, Aarul Jain, and Chaitali Chakrabarti. "Low power robust signal processing." In the 14th ACM/IEEE international symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1594233.1594308.

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Sansen, Willy, Christian Enz, Boris Murmann, and Philip Mok. "Low-power analog signal processing." In 2012 IEEE International Solid-State Circuits Conference (ISSCC). IEEE, 2012. http://dx.doi.org/10.1109/isscc.2012.6176923.

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Liu, Chang, Deyu Li, Yue Zheng, and Brad Lehman. "Modular differential power processing (mDPP)." In 2017 IEEE 18th Workshop on Control and Modeling for Power Electronics (COMPEL). IEEE, 2017. http://dx.doi.org/10.1109/compel.2017.8013345.

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Beyer, Eckhard, Patrick Herwig, Stephan Hunze, Andrés-Fabián Lasagni, Matthias Lütke, Achim Mahrle, Steffen Nowotny, Jens Standfuß, and Sebastian Thieme. "High-power laser materials processing." In ICALEO® 2012: 31st International Congress on Laser Materials Processing, Laser Microprocessing and Nanomanufacturing. Laser Institute of America, 2012. http://dx.doi.org/10.2351/1.5062443.

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Hasler, P. "Low-power programmable signal processing." In Fifth International Workshop on System-on-Chip for Real-Time Applications (IWSOC'05). IEEE, 2005. http://dx.doi.org/10.1109/iwsoc.2005.83.

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Gebotys, C. H., and R. J. Gebotys. "Power minimization in heterogeneous processing." In Proceedings of HICSS-29: 29th Hawaii International Conference on System Sciences. IEEE, 1996. http://dx.doi.org/10.1109/hicss.1996.495478.

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Lambert-Torres, G., E. F. Fonseca, M. P. Coutinho, and R. Rossi. "Intelligent Alarm Processing." In 2006 International Conference on Power System Technology. IEEE, 2006. http://dx.doi.org/10.1109/icpst.2006.321758.

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Reports on the topic "Power processing"

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Castellano, Cosmo, Karen Solsky, John Ivory, and Jim Graham. Power Aware Signal Processing Environment (PASPE) for PAC/C. Fort Belvoir, VA: Defense Technical Information Center, February 2003. http://dx.doi.org/10.21236/ada412245.

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Bonn, R., J. Ginn, J. Zirzow, and G. Sittler. Superior Valley photovoltaic power processing and system controller evaluation. Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/177399.

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Jensen, Klavs F. Microchemical Systems for Fuel Processing and Conversion to Electrical Power. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada469898.

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Adhinarayanan, Vignesh. Performance, power, and energy of in-situ and post-processing visualization. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1222685.

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Dagenais, M. High Speed, Low Power Non-Linear Optical Signal Processing in Semiconductors. Fort Belvoir, VA: Defense Technical Information Center, June 1985. http://dx.doi.org/10.21236/ada159054.

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Thangaraj, Jayakar C. Compact, High-Power Superconducting Electron Linacs as Irradiators for Materials and Radiation Processing. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1565932.

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Thangaraj, Jayakar Tobin. Compact, High-Power Superconducting Electron Linacs as Irradiators for Materials and Radiation Processing. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1570212.

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Moir, R. W. Flibe Coolant Cleanup and Processing in the HYLIFE-II Inertial Fusion Energy Power Plant. Office of Scientific and Technical Information (OSTI), March 2001. http://dx.doi.org/10.2172/15006180.

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Lockhart, W. Data processing unit and power system for the LANL REM instrument package. Final report. Office of Scientific and Technical Information (OSTI), March 1994. http://dx.doi.org/10.2172/72976.

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Penetrante, B. M., M. C. Hsiao, and J. N. Bardsley. Power consumption and byproducts in electron beam and electrical discharge processing of volatile organic compounds. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/231371.

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