In general, Micropower Impulse Radar (MIR) depends on Ultra-Wideband (UWB) transmission systems. UWB technology can supply innovative new systems and products that have an obvious value for radar and communications uses. Important applications include bridge-deck inspection systems, ground penetrating radar, mine detection, and precise distance resolution for such things as liquid level measurement. Most of these UWB inspection and measurement methods have some unique qualities, which need to be pursued. Therefore, in considering changes to Part 15 the FCC needs to take into account the unique features of UWB technology. MIR is applicable to two general types of UWB systems: radar systems and communications systems. Currently LLNL and its licensees are focusing on radar or radar type systems. LLNL is evaluating MIR for specialized communication systems. MIR is a relatively low power technology. Therefore, MIR systems seem to have a low potential for causing harmful interference to other users of the spectrum since the transmitted signal is spread over a wide bandwidth, which results in a relatively low spectral power density.

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Response to FCC 98-208 notice of inquiry in the matter of revision of part 15 of the commission's rules regarding ultra-wideband transmission systems

In recent years solar energy has received worldwide attention in the field of renewable energy systems Among the various research thrusts in solar PV, the most proverbial area is extracting maximum power from solar PV system Application dof Maximum Power Point Tracking (MPPT) for extracting maximum power is very much appreciated and holds the key in developing efficient solar PV system In this paper, a state of the art review on various maximum power point techniques for solar PV systems covering timeworn conventional methods and latest soft computing algorithms is presented To date critical analysis on each of the method in terms of (1) tracking speed, (2) algorithm complexity, (3) Dynamic tracking under partial shading and (4) hardware implementation is not been carried out In this regard the authors have attempted to compile a comprehensive review on various solar PV MPPT techniques based on the above criteria Further, it is envisaged that the information presented in this review paper will be a valuable gathering of information for practicing engineers as well as for new researchers

A comprehensive review on solar PV maximum power point tracking techniques

Considering the increase of urban population and traffic congestion, smart parking is always a strategic issue to work on, not only in the research field, but also from economic interests. Thanks to information and communication technology evolution, drivers can more efficiently find satisfying parking spaces with smart parking services. The existing and ongoing works on smart parking are complicated and transdisciplinary. While deploying a smart parking system, cities, as well as urban engineers, need to spend a very long time to survey and inspect all the possibilities. Moreover, many varied works involve multiple disciplines, which are closely linked and inseparable. To give a clear overview, we introduce a smart parking ecosystem and propose a comprehensive and thoughtful classification by identifying their functionalities and problematic focuses. We go through the literature over the period of 2000–2016 on parking solutions as they were applied to smart parking development and evolution, and propose three macro-themes: information collection, system deployment, and service dissemination. In each macro-theme, we explain and synthesize the main methodologies used in the existing works and summarize their common goals and visions to solve current parking difficulties. Finally, we give our engineering insights and show some challenges and open issues. Our survey gives an exhaustive study and a prospect in a multidisciplinary approach. Besides, the main findings of the current state-of-the-art throw out recommendations for future research on smart cities and the Internet architecture.

/pdf/a-survey-of-smart-parking-solutions-29hqwxlnoj.pdf

A Survey of Smart Parking Solutions

The modern electric power systems are going through a revolutionary change because of increasing demand of electric power worldwide, developing political pressure and public awareness of reducing carbon emission, incorporating large scale renewable power penetration, and blending information and communication technologies with power system operation. These issues initiated in establishing microgrid concept which has gone through major development and changes in last decade, and recently got a boost in its growth after being blessed by smart grid technologies. The objective of this paper is to presents a detailed technical overview of microgrid and smart grid in light of present development and future trend. First, it discusses microgrid architecture and functions. Then, smart features are added to the microgrid to demonstrate the recent architecture of smart grid. Finally, existing technical challenges, communication features, policies and regulation, etc. are discussed from where the future smart grid architecture can be visualized.

Enhancing smart grid with microgrids: Challenges and opportunities

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Unit Operations Of Chemical Engineering

Electronic sensing technology intervention was intended to overcome human's physical limitation. It has developed and greatly advanced over the decade. This project emphasizes on characterizing herbs species based on unique of herbs odor. E-nose system in this project consist an array of commercial gas sensor which detects gas through an increase in electrical conductivity when reducing gases are absorbed on the sensor's surface. Data obtained from sensors array are classified using Artificial Neural Network (ANN) technique. The E-nose system with five sensors has the highest capability in classifying herbs sample. Accuracy in classifying the correct herbs increases with number of the sensors used. Results show that sensitivity of E-nose towards herbs classification increases with higher number of sensors.

/pdf/e-nose-herbs-recognition-system-based-on-artificial-neural-39exxprllq.pdf

E-nose herbs recognition system based on Artificial Neural Network technique

This paper presents improved harmonics extraction based on Adaptive Linear Neuron (ADALINE) algorithm for single phase photovoltaic (PV) shunt active power filter (SAPF). The proposed algorithm, named later as Improved ADALINE, contributes to better performance by removing cosine factor and sum of element that are considered as unnecessary features inside the existing algorithm, known as Modified Widrow-Hoff (W-H) ADALINE. A new updating technique, named as Fundamental Active Current, is introduced to replace the role of the weight factor inside the previous updating technique. For evaluation and comparison purposes, both proposed and existing algorithms have been developed. The PV SAPF with both algorithms was simulated in MATLABSimulink respectively, with and without operation or connection of PV. For hardware implementation, laboratory prototype has been developed and the proposed algorithm was programmed in TMS320F28335 DSP board. Steady state operation and three critical dynamic operations, which involve change of nonlinear loads, off-on operation between PV and SAPF, and change of irradiances, were carried out for performance evaluation. From the results and analysis, the Improved ADALINE algorithm shows the best performances with low total harmonic distortion, fast response time and high source power reduction. It performs well in both steady state and dynamic operations as compared to the Modified W-H ADALINE algorithm.

/pdf/improved-adaline-harmonics-extraction-algorithm-for-boosting-51gf222wfx.pdf

Improved ADALINE harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations

MYNursingHome: A fully-labelled image dataset for indoor object classification.

Normally, signboards are used to remind road users to call contractor and authority department, when malfunction of traffic light operation occurs. As a result, the action that taken for repairing the traffic light system is depend on initiative of the road users to call and report the failure of traffic light operation. The delay of report to local authority will cause the repairing work delayed. To overcome this problem, a smart monitoring fault detection system has been developed to monitor the traffic light operation in rural area or small city. The Fuzzy-Fault Identification and FuzzyFault Classifications are two modules which employed as the subsystems in fault detection system. Both of the modules are used to classify the level of seriousness for traffic light failure based on two factors of failures which are electrical fault and mechanical fault. The seriousness of the traffic light failures are classified to four conditions such as normal, non-critical 1, non-critical 2 and critical and a signal will be sent to the contractor and authority department via message service for further action. Thus, it is a more effective system and has a bright prospect to be implemented in Malaysia.

Smart monitoring fault detection system for malfunction traffic light operation

This paper present a precise and detailed study for the touch area on the foot based on amplifier gain settings of individual sensors that are distributed over the plantar insole area, the idea is to fill the insole area with sensor size areas that satisfy covering almost the foot touch area. The procedure includes steps have to be implemented to achieve accurate reference values with respect to body weight. The values of individual sensor points have been evaluated for the both (Foot-Sensor-Insole-Ground) and (Foot-Sensor-Ground). It is found that, there is a wide range difference between the test points in each case and the existence of the insole reduced the pressure weight. A percentage value according to total body weight can be being assigned as the reference points in future studies.

/pdf/an-accurate-setting-for-remapping-process-of-foot-plantar-53hyvq1bt3.pdf

Azura Che Soh

Papers

E-nose herbs recognition system based on Artificial Neural Network technique

Improved ADALINE harmonics extraction algorithm for boosting performance of photovoltaic shunt active power filter under dynamic operations

MYNursingHome: A fully-labelled image dataset for indoor object classification.

Smart monitoring fault detection system for malfunction traffic light operation

An accurate setting for remapping process of foot plantar pressure