Division of Electrical, Communications & Cyber Systems

Experiments at the ionospheric heating facility of the High Frequency Active Auroral Research Program (HAARP) are performed employing dual HF beams amplitude modulated at ELF/VLF with a phase offset between the two modulation waveforms. The amplitude of the observed ELF/VLF waves is strongly dependent on the imposed ELF/VLF phase offset, the modulation waveform, and the orientation of the HF beams. Data from two ground stations are interpreted using simulations of modulated heating power envelopes as well as a comprehensive model of ionospheric ELF/VLF generation. It is found that two colocated vertical beams HF beams excite a single ionospheric ELF/VLF source, but independent ELF/VLF sources can be induced in the ionospheric region above the heater if the HF beams are offset from zenith to intersect at their 3 dB points. Furthermore, the use of two vertical HF beams with ELF phase offset is found to be a potential diagnostic method for the ionospheric D region.

The 59 articles in this special issue focus on nanosensors for defense and security.

This paper presents a detailed model of devices utilizing many nanotubes and the coupling between them based on the electromagnetic model of a device using one nanotube. Empirical equations are proposed to link the device conductance with the number of nanotubes per device. Then, a circuit model is developed to predict the effect of the number of nanotubes per device on the overall conductance, capacitance, and the frequency response of the device. A prototype structure is fabricated. Its performance is tested and compared with the proposed model, and it shows promising agreements. The model is flexible and can be integrated with quantum transport models.

Cyber-physical systems mix digital and analog devices, interfaces, networks, pc systems, and also the like with the natural and unreal physical world. Cyber-physical systems that combine discrete and continuous dynamics are everywhere including automatic or semi-automatic controllers in modern cars, trains, airplanes, ground robots, robotic household appliances, or surgical robots. Cyber–physical systems (CPSs) are considered to be the next generation systems in which computing, communication, and control technologies are firmly integrated. Research on CPSs is fundamentally important for engineered systems in many important application domains such as transportation, energy, medical systems and major investments are being made worldwide to develop the technology. In this paper we are going to discuss about the features of developing cyber physical systems, Design challenges and the application of CPS in automotive domain. Most of the innovation in automotive domain is in electronics and software. All new features in modern cars—like advanced driver assistance systems—are based on electronics and software rather than on mechanical engineering innovations. A modern high-end car has over 100 million lines of code and it is widely believed that this number will continue to grow in the near future. Such code implements different control applications spanning across various functionalities—from safety-critical functions, to driver-assistance and comfort-related ones.

These datasets are produced from the Forest Inventory and Analysis database and interpolated values produced by the `forestTIME` R package. For a more detailed description of the methods used, see the documentation for the `forestTIME` package.

In this session, a panel of members of the current Fellows Committee of the IEEE Education Society will share advice on preparing nominations for Fellow of the IEEE and Fellow of the American Society for Engineering Education. The panelists will also provide advice on applications for competitive national and international awards. The panelists will explain how to enhance career planning to become eligible for awards and honors.

The internal function fia_eval_info() was added. fia_assign_strata() was added to match plots in each year of the annualized data to an EVALID, estimation unit, and stratum along with associated values necessary for population level estimation with variance calculations. fia_tidy() now adds several columns from the POP_* tables relating to EVALIDs. Each plot in each INVYR is matched to the EVALID of each type that has the latest end year. Then, for EVALIDs ending in 01 and 02 ("EXPCURR" and "EXPVOL", respectively), two columns are created for each of EVALID, ESTN_UNIT, STRATUMCD, P1POINTCNT, P1PNTCNT_EU, and AREA_USED suffixed with _EXPVOL or _EXPCURR. There are also two logical columns EVAL_TYPE_EXPCURR and EVAL_TYPE_EXPVOL. These get filled down and switch at the next inventory (rather than at the midpoint like everything else) (#192). fia_tidy() no longer filters to base intensity plots and reverts to just filtering to INVYR≥2000. Changeed the way composit IDs plot_ID and tree_ID are constructed by changing the order of STATECD and UNITCD so that now it is UNITCD_STATECD_COUNTYCD_PLOT (#189) Fixed a bug in fia_tidy() resulting in duplicated SUBCYCLE columns (#173). A temporary workaround was implmented to deal with missing code for calculating biomass and carbon for woodland species (#163). Eventually, we will modify fia_estimate() to be able to produce carbon and biomass estimates for woodland species and this can be reverted to avoid confusion. fia_tidy() now keeps the CARBON_AG and DRYBIO_AG columns interpolate_data() (and therefore fia_annualize()) now linearly interpolates CARBON_AG and DRYBIO_AG fia_estimate() now overwrites CARBON_AG and DRYBIO_AG columns in the input unless the result of carbon estimation is NA (as is the case with woodland species). The calculation of the EXPNS column no longer occurs as part of interpolate_data().