A Coverage Monitoring algorithm based on Learning Automata for Wireless Sensor Networks

To cover a set of targets with known locations within an area with limited or prohibited ground access using a wireless sensor network, one approach is to deploy the sensors remotely, from an aircraft. In this approach, the lack of precise sensor placement is compensated by redundant de-ployment of sensor nodes. This redundancy can also be used for extending the lifetime of the network, if a proper scheduling mechanism is available for scheduling the active and sleep times of sensor nodes in such a way that each node is in active mode only if it is required to. In this pa-per, we propose an efficient scheduling method based on learning automata and we called it LAML, in which each node is equipped with a learning automaton, which helps the node to select its proper state (active or sleep), at any given time. To study the performance of the proposed method, computer simulations are conducted. Results of these simulations show that the pro-posed scheduling method can better prolong the lifetime of the network in comparison to similar existing method

Calculation of stroke risk in persons above 55 years old without history of stroke who referred to health centers in Hamadan on 2012

Introduction: Cerebrovascular accidents are the third leading cause of mortality and the most important cause of morbidity in adults in the most of the world. Multiple factors such as Socioeconomic, lifestyle, environmental and genetic factors may be the cause of stroke risk differences in our community. This study was designed to evaluate the Stroke Risk Factor in persons above 55 years old without history of Stroke who referred to Health Centers in Hamadan on 2012.Material and Methods: In a Descriptive- Analytical study, 300 person above 55 years without history of stroke who referred to Health centers of Hamadan were selected (randomly),with regarded of inclusion and exclusion criteria and after explaining the research and its purposes, their permission was obtained. Their demographic data (such as age, gender), history of heart disease, hypertension and drug reception for it, diabetes, hyperlipidemia, smoking were filled in questionnaire. One EKG was performed (about the atrial fibrillation and signs of left ventricular hypertrophy).then data were analyzed and average tenth year stroke risk with use the Prof. Donald Smith software (stroke risk calculator) calculated.Results: The mean age, risk factors and systolic blood pressure in men and women were: 68.62±10006y, 2.16±1.33 and 129.05±18.71mmHg. History of diabetes mellitus, hyperlipidemia, smoking, hypertension(HTN), drug reception for HTN, drug reception in persons with history of HTN, SBP≥140mmHg, drug reception in persons with SBP≥140mmHg,Cardiovascular disease, atrial fibrillation(AF ¬¬rhythm) and signs of left ventricular hypertrophy(LVH)in EKG have frequency: 19066%, 28%, 19%, 42023%, 34%, 29%, 59077%, 20033%, 3033%, 8033% respectively. The mean calculated stroke risk was for tenth year 10071%.This risk was 11074% in men and 9052% in women population.Conclusion: It’s can be concluded that with regard to transition of socioeconomic and community especially aging and international experience of epidemiologic transition, stroke risk factors and consecutive stroke risk in Hamadan as a small sample of a developing country are rapidly increasing . Its hope that experiences obtained in developed countries applied in preventive programs and healthy planning

Nonsurgical treatment of an extensive radiolucent lesion, a case report

    Long-term success of endodontic treatment is precisely and completely dependent on adequate and appropriate cleaning and shaping of the root canal along with proper and correct obturation of the entire prepared space.This paper aims to report an exceptionally and novel non-surgical and orthograde endodontic therapy on maxillary right central incisor with an extensive radiolucent lesion. A 17-year-old male with an unusual extensive radiolucent lesion in the anterior part of upper jaw is reported. After cleaning and shaping of the root canal, Calcium Hydroxide was placed in the canal for 6 months and then Obturation was performed. 6 and 20 months follow-ups showed significant changes, including bone formation and periapical healing at the site of the lesion. The patient was asymptomatic. After 20 months, complete radiographic and clinical healing of the periapical lesion was observed

Sybil Node Detection in Mobile Wireless Sensor Networks Using Observer Nodes

Sybil attack is one of the well-known dangerous attacks against wireless sensor networks in which a malicious node attempts to propagate several fabricated identities. This attack significantly affects routing protocols and many network operations, including voting and data aggregation. The mobility of nodes in mobile wireless sensor networks makes it problematic to employ proposed Sybil node detection algorithms in static wireless sensor networks, including node positioning, RSSI-based, and neighbour cooperative algorithms. This paper proposes a dynamic, light-weight, and efficient algorithm to detect Sybil nodes in mobile wireless sensor networks. In the proposed algorithm, observer nodes exploit neighbouring information during different time periods to detect Sybil nodes. The proposed algorithm is implemented by J-SIM simulator and its performance is compared with other existing algorithm by conducting a set of experiments. Simulation results indicate that the proposed algorithm outperforms other existing methods regarding detection rate and false detection rate. Moreover, they also showed that the mean detection rate and false detection rate of the proposed algorithm are respectively 99% and less than 2%