A long range, energy efficient internet of things based drought monitoring system

The climate change and global warning have been appeared as an emerging issue in recent decades. In which, the drought problem has been influenced on economics and life condition in Vietnam. In order to solve this problem, in this paper, we have designed and deployed a long range and energy efficient drought monitoring based on IoT (Internet of Things) for real time applications. After being tested in the real condition, the proposed system has proved its high dependability and effectiveness. The system is promising to become a potential candidate to solve the drought problem in Vietnam.

Trusted and Efficient Request Processing using Packet List on Cloud

Distributed computing information is put away over the dispersed servers, which can be gotten to with the assistance of client questions. In distributed computing, a large number of client inquiries are handled by circulated server with less dormancy, high accessibility and high dependability. Be that as it may, giving privacy client inquiries is as yet a testing undertaking because of the high defenselessness exist in the cloud condition. The current components experience the ill effects of high computational and correspondence overhead, notwithstanding vulnerabilities still exists in their security instruments. In our proposed methodology, any client sends the spatial inquiries to the specialist co-op, at that point the specialist co-op utilize these spatial questions to keep an eye on the spatial scrambled information. Client utilizes the RC5 key to decode the reaction messages. In this whole procedure, clients can shield the information from the information spillage, diminishes the correspondence overhead when contrasted and other existing systems

Adaptive Threshold Generation for Fault Detection with High Dependability for Cyber-Physical Systems

Cyber-physical systems (CPS) applied to safety-critical or mission-critical domains require high dependability including safety, security, and reliability. However, the safety of CPS can be significantly threatened by increased security vulnerabilities and the lack of flexibility in accepting various normal environments or conditions. To enhance safety and security in CPS, a common and cost-effective strategy is to employ the model-based detection technique; however, detecting faults in practice is challenging due to model and environment uncertainties. In this paper, we present a novel generation method of the adaptive threshold required for providing dependability for the model-based fault detection system. In particular, we focus on statistical and information theoretic analysis to consider the model and environment uncertainties, and non-linear programming to determine an adaptive threshold as an equilibrium point in terms of adaptability and sensitivity. To do this, we assess the normality of the data obtained from real sensors, define performance measures representing the system requirements, and formulate the optimal threshold problem. In addition, in order to efficiently exploit the adaptive thresholds, we design the storage so that it is added to the basic structure of the model-based detection system. By executing the performance evaluation with various fault scenarios by varying intensities, duration and types of faults injected, we prove that the proposed method is well designed to cope with uncertainties. In particular, against noise faults, the proposed method shows nearly 100% accuracy, recall, and precision at each of the operation, regardless of the intensity and duration of faults. Under the constant faults, it achieves the accuracy from 85.4% to 100%, the recall of 100% from the lowest 54.2%, and the precision of 100%. It also gives the accuracy of 100% from the lowest 83.2%, the recall of 100% from the lowest 43.8%, and the precision of 100% against random faults. These results indicate that the proposed method achieves a significantly better performance than existing dynamic threshold methods. Consequently, an extensive performance evaluation demonstrates that the proposed method is able to accurately and reliably detect the faults and achieve high levels of adaptability and sensitivity, compared with other dynamic thresholds.

An Impact of ZigBee Technology in Data Communication System

ZigBee is an IEEE 802.15.4 standard for information interchanges with business and purchaser gadgets. It is composed around low-control utilization permitting batteries to keep going forever. The ZigBee standard gives system, security, and application bolster administrations working on top of the IEEE 802.15.4 Medium Access Control (MAC) and Physical Layer (PHY) remote standard. It utilizes a suite of innovations to empower adaptable, self-arranging, self-mending systems that can oversee different information movement designs. ZigBee is an ease, low-control, remote lattice organizing standard. The ease permits the innovation to be broadly sent in remote control and observing applications, the low power-use permits longer an existence with little batteries, and the cross-section systems administration gives high dependability and bigger range.ZigBee has been created to take care of the developing demand for able remote systems administration between various low power. In industry ZigBee is being utilized for cutting-edge robotized assembling, with little transmitters in each gadget on the floor, taking into consideration correspondence between devices to a focal PC. This new level of communication allows finely-tuned remote observing and control.

Walkability in upper east Texas cities and implications for physical activity and health

<p>Introduction: Physical activity is an important intervention strategy against the increasing cases of overweight and obesity in the USA and many other parts of the world. Walking has been identified as a component of physical activity that can easily be incorporated into one’s lifestyle. Recent studies on physical activity have focused on promoting walking as a health enhancing endeavor.</p><p>Purpose: This study examined the walkability of the environments in 57 cities drawn from 22 different counties in upper east Texas within the USA.</p><p>Methods and materials: The data for all the 57 key cities in upper east Texas were collected from the Walkscore.com.</p><p>Results: It was established that 13 (22.8%) of the cities had walkable scores below 24%; 26 (45.6%) had between 25 and 49; 13 (22.8%) between 51 and 69; 4 (7%) had between 70 and 89, and only one city had a score of 91.</p><p>Discussion: The vast majority of cities (39, 68.42%) had walkable scores that show a high dependability on vehicle transport; with only 5 (8.8%) cities being rated as very walkable or a walker’s paradise. This reflects a high dependence on vehicles in the upper east Texas region and therefore minimal walking.</p><p>Recommendations: There is need to actively pursue an agenda that promotes infrastructural investments that can bring about ease of walking and accessibility of community services at close range. Stakeholders need to collectively come together to generate interventions that can enhance the well-being of the residents in of upper east Texas.</p>