In FinFET-based VLSI designs heat issues from increase of driving current with temperature and self-heating effect profoundly influence the circuit performance and reliability. This work evaluates the performance of FinFET-based combinational circuits considering BTI stress and thermal effect of supply voltage and frequency variations. The proposed simulation framework is applied to selected benchmark circuits implemented with the 14-nm tri-gate bulk FinFET technology. The experimental results reveal that as temperature increases BTI aging delay increasingly worsens yet it is overridden by performance gain from the increase in driving current. We also prove that BTI degradation is dependent on power supply and frequency through their thermal impacts. Further we introduce a DVFS based power reduction approach that scales down the supply voltage of hot circuits to maintain the performance. The results show that power reduction yielded from the proposed technique is larger for all circuits working at higher ambient temperature (as large as 66% in some experimental circuits working at 20 oC above the baseline ambient temperature) with a slight decrease in BTI degradation.

For modern processors permanent and transient errors due to increased temperature and single event effect continue to intensify as device technologies scale down to small nanometers. While many researchers have proposed efficient methods to limit one of these two problems those techniques may worsen the other reliability aspect. In this project we introduce a novel leakage reduction approach for long-term reliability improvement which considers the impact of shortterm reliability effect from soft errors. In particular we firstly employ body bias tuning to reduce leakage and further investigate its impact on delay and soft error rate of the circuit. It has been discovered from our experiment that use of reverse body bias to control leakage can raise the soft error rate in addition to the delay performance. We therefore integrate several effects of body bias into the proposed leakage reduction technique. The experimental results show that our approach provides satisfactory leakage reduction with confined soft error and delay degradation in 32 nm high-k/metal gate benchmark circuits.

In this reseach propose developed method for reduction of corrosion of reinforcement in concrete using electrical electron theory (artificial anode). That is electrochemical reaction in the concrete with current electron of electricity designing interchanges galvanized steel by install zinc anode. Zinc is one of the first materials to be used in ion exchange processes easily. Properties of Electrica will include the anode (Anode) and specemen concrete is negative (Cathode). The system is effects to results; reduce superior resistance corrosion in reinforcing steel in concrete more the better then traditional. The relationship of the electric reduction in the reinforcement concrete depen on capable of zinc electricchamical reduction in the steel of reinforced concrete. Zinc anade size is use to install concrete corrosion rate in steel reinforcement is direct variation of size.

This reseach presents development of engineering education about automation engineer. The objectives of develop education technology automatic control systems. The development and pilot institutions or company associated with the agency so that it can compete with companies in the ASEAN countries. In the design research and development training kit to support and use in teaching and learning control liquid level like an industry as the reality of the industry. The trainner could be applied to the advanced control theory for experiment in teaching or training in class room similary industry personnel. The hardware is compatible with existing standards. It is increase the capacity of existing courses such as a course to learn basic control system consists of a sensor industry around the outside parmerter. The sensor could be real measured and simulation from plant model. The student can control the virtual experiments. Controller could be learning such as PLC Microcontroller and computers. The experiments determine relation of correlated response signal ON-OFF and PID by adjust Gain control systems that have tenor as same as control theory which describes the response of the control. The experimental results of this the research collected in the operating room. The ability to control the system to could be doand meet the taget and follow by objective

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