High leakage current in deep-submicrometer regimes is becoming a significant contributor to power dissipation of CMOS circuits as threshold voltage, channel length, and gate oxide thickness are reduced. Consequently, the identification modeling different components very important for estimation reduction power, especially low-power applications. This paper reviews various transistor intrinsic mechanisms, including weak inversion, drain-induced barrier lowering, gate-induced drain leakage,...

In this paper, we have reported an effective implementation for Internet of Things used monitoring regular domestic conditions by means low cost ubiquitous sensing system. The description about the integrated network architecture and interconnecting mechanisms reliable measurement parameters smart sensors transmission data via internet is being presented. longitudinal learning system was able to provide a self-control mechanism better operation devices in stage. framework based on...

Our research approach is to design and develop reliable, efficient, flexible, economical, real-time realistic wellness sensor networks for smart home systems. The heterogeneous actuator nodes based on wireless networking technologies are deployed into the environment. These generate data related object usage movement inside home, forecast of an individual. Here, stands how efficiently someone stays fit in environment performs his or her daily routine order live a long healthy life. We...

Wireless-sensor-network-based home monitoring system for elderly activity behavior involves functional assessment of daily activities. In this paper, we reported a mechanism estimation well-being condition based on usage house-hold appliances connected through various sensing units. We defined two new wellness functions to determine the status performing essential The developed and evaluation activities was tested at homes four different persons living alone results are encouraging in...

The design and development of a Zigbee smart noninvasive wearable physiological parameters monitoring device has been developed reported in this paper. system can be used to monitor parameters, such as temperature heart rate, human subject. consists an electronic which is worn on the wrist finger, by at-risk person. Using several sensors measure different vital signs, person wirelessly monitored within his own home. An impact sensor detect falls. detects if medically distressed sends alarm...

Wireless sensor networks (WSNs) provide noteworthy benefits over traditional approaches for several applications, including smart homes, healthcare, environmental monitoring, and homeland security. WSNs are integrated with the Internet Protocol (IP) to develop of Things (IoT) connecting everyday life objects internet. Hence, major challenges include: (i) how efficiently utilize small size low-power nodes implement security during data transmission among nodes; (ii) resolve issues associated...

This paper aims to describe the role of advanced sensing systems in electric grid future. In detail, project, development, and experimental validation a smart power meter are described following. The authors provide an outline potentialities IoT monitor efficiently energy flow among nodes network. uses metrics proposed IEEE Standard 1459-2010 analyze process voltage current signals. Information concerning consumption quality could allow route by means more suitable decision criteria. new...

The design and development of a smart monitoring controlling system for household electrical appliances in real time has been reported this paper. principally monitors parameters such as voltage current subsequently calculates the power consumed. novelty is implementation mechanism different ways. developed low-cost flexible operation thus can save electricity expense consumers. prototype extensively tested real-life situations experimental results are very encouraging.

This research investigates real time tilting measurement using Micro-Electro-Mechanical-system (MEMS) based inertial unit (IMU). Accelerometers suffer from errors caused by external accelerations that sums to gravity and make accelerometers sensing unreliable inaccurate. Gyroscopes can offset such drawbacks but have data drifting problems. paper presents a study on complementary Kalman filter for MEMS IMU. The algorithm uses low-pass high-pass deal with the accelerometer gyroscope while...

Heartbeats based random binary sequences (RBSs) are the backbone for several security aspects in wireless body sensor networks (WBSNs). However, current heartbeats methods require a lot of processing time (∼25-30 s) to generate 128-bit RBSs real-time healthcare applications. In order improve efficiency, biometric generation technique using interpulse intervals (IPIs) is developed this study. The proposed incorporates finite monotonic increasing mechanism IPIs and cyclic block encoding...