Optimal Energy Management for Energy Harvesting Transmitter and Receiver with Helper

We study energy harvesting (EH) transmitter and receiver, where the receiver decodes data using the harvested energy from the nature and from an independent EH node, named helper. Helper cooperates with the receiver by transferring its harvested energy to the receiver over an orthogonal fading channel. We study an offline optimal power management policy to maximize the reliable information rate. The harvested energy in all three nodes are assumed to be known. We consider four different scenarios; First, for the case that both transmitter and the receiver have batteries, we show that the optimal policy is transferring the helper harvested energy to the receiver, immediately. Next, for the case of non-battery receiver and full power transmitter, we model a virtual EH receiver with minimum energy constraint to achieve an optimal policy. Then, we consider a non-battery EH receiver and EH transmitter with battery. Finally, we derive optimal power management wherein neither the transmitter nor the receiver have batteries. We propose three iterative algorithms to compute optimal energy management policies. Numerical results are presented to corroborate the advantage of employing the helper.Comment: It is a conference paper with 5 pages and one figure, submitted to ISITA201

On Probability of Support Recovery for Orthogonal Matching Pursuit Using Mutual Coherence

In this paper we present a new coherence-based performance guarantee for the Orthogonal Matching Pursuit (OMP) algorithm. A lower bound for the probability of correctly identifying the support of a sparse signal with additive white Gaussian noise is derived. Compared to previous work, the new bound takes into account the signal parameters such as dynamic range, noise variance, and sparsity. Numerical simulations show significant improvements over previous work and a closer match to empirically obtained results of the OMP algorithm.Comment: Submitted to IEEE Signal Processing Letters. arXiv admin note: substantial text overlap with arXiv:1608.0038

Effect of Increased Implant Crown Height on Fracture Strength of IPS-e.max CAD Hybrid Abutment Crown: An In-vitro Study

Introduction: The use of a secondary titanium insert has a beneficial influence on the stability of ceramic abutments and appears to be clinically useful for premolar and molar single-tooth replacements. Available titanium inserts in the market produced by Sirona, have a single height of 4.6mm with various platform diameters for different implant systems. The aim of this in-vitro study was to determine the fracture strength of IPS-e.max CAD hybrid abutment crowns with various crowns heights by simulating cyclic masticatory loads in vitro. Materials and Methods: Forty conical AstraTech EV dental implants, 4.2 mm in diameter and 9.0 mm in length were embedded 30 degree off-axis in acrylic resin blocks. Five groups (n=8/group) were designed to simulate the following treatment modalities for an implant crown #3i; Group 1 (control): Atlantis abutment and milled cemented zirconia crown with the dimensions of 11mm height, 10mm mesiodistal, 11mm buccolingual. Group 2: Atlantis CustomBase solution with milled cemented zirconia crown with the exact same dimensions as group 1. Groups 3, 4, 5: CAD/CAM hybrid abutment crown (TiBase) with the same mesiodistal and buccolingual dimensions as group 1 and different heights of the crown which were 11mm for group 3, 13mm for group 4, and 15mm for group 5. Implant position and wax-up crown were scanned with the Omnicam intraoral scanner. Lithium disilicate glass ceramic blocks (IPS e.max) were used to mill the full contour crowns in a milling machine. 100N mechanical cyclic loading at 30 degree off-axis was applied to the palatal cusps of each specimen for 250,000 cycles. Then, all survived specimens were loaded at the same angle in the universal testing machine with dislocation speed of 0.5 mm/min which increased from 0 to1000N or when fracture or deformation occurred. Removal torque value was measured after mechanical cyclic loading as well as compressive loading. A mixed-effects general linear model was employed for comparison among five groups. R-Studio and R 3.2.2 were used for all statistical analysis, and significance was accepted at p \u3c 0.05. Results: All TiBase groups did not demonstrate any significant difference in the amount of reduction in removal torque values before and after compressive loading, compared to control group (CBS). Furthermore, in the two-by-two comparison, the difference between TiBase 11mm and 15 mm was statistically significant (p value: 0.048). The fracture resistance ranged from 673.24-759.77 N for group 5, and 809.1-994.28 N for group 4. Different pattern of failure occurred for TiBase groups after compressive load test including plastic deformation of TiBase, screw bending, screw fracture, and ceramic fracture. Conclusion: Under the limitations of this study, Lithium disilicate hybrid implant supported restorations (IPS e.max CAD hybrid-abutment-crowns) with various crown heights including 11,13,15 mm did not fail during the estimate of 1-year chewing simulation. Under 1000N compressive load, all of the 15mm and most of the 13mm crowns failed, demonstrating the significant effect of the TiBase height on final fracture strength and survival of the crowns. Additional laboratory and clinical studies are needed to study the effect of the various titanium base design and abutment characteristics on the fracture strength of the complete structure

The Mediating Role of Affect in the Relationship between the Big Five Factor Personality and Risk Aversion: A Structural Model

Introduction: The purpose of this study was to analyze the relationship between the personality characteristics and their effects on risk aversion by the intermediary role of affect. The study suggests that positive and negative affect in individuals can play an intermediary role in the relationship between personality characteristics,risk aversion, and decision making. Methods: 265 undergraduate and postgraduate students completed the Ten-Item Personality Inventory and the Positive and Negative Affect Schedule (PANAS. Data were analyzed using structural equations modeling. Results: Findings showed that the increase in extroversion characteristic was negatively and significantly associated with risk aversion; it was also found out that there was a negative and significant relationship between openness to experience and risk aversion. Furthermore, the relationship between adaptability and risk aversion in the presence of affect as the intermediary factor was not statistically significant. Conclusion: Risk aversion is closely interlaced and undeniably associated with the personality and mentality of the individuals. But, it has to be noted that the sciences related to the intended subjects are substantially new in this regard hence many of the intended topic’s angles are recognized and are worthy of discussion and study. Declaration of Interest: None

A study of relationship between emotional intelligence and innovative work behavior of managers

This paper studies the relationship between emotional intelligence and its components, self-awareness, self-management, social-awareness and relationship-management, with managers’ innovative work behavior. The research statistical population includes 100 managers of private bank branches in the city of Tehran selected with the random sampling method. The research type is descriptive-correlation. The tool for data aggregation is comprised of two questionnaires of emotional intelligence by Bradberry and Greaves (2006) [Bradberry, T., & Greaves, J. (2006). The emotional intelligence quick book: Everything you need to know to put your EQ to work. Simon and Schuster.] and innovative work behavior based on the studies of Janssen (2000) [Janssen, O. (2000). Job demands, perceptions of effort‐reward fairness and innovative work behaviour. Journal of Occupational and organizational psychology, 73(3), 287-302.]. The Pearson correlation coefficient and multiple regression analysis have been used for data analysis. The results indicated that there was a positive and significant relationship between emotional intelligence and its components with innovative work behavior of managers. In addition, regression analysis showed that the self-management variable had the highest effect in estimating the managers’ innovative work behavior followed by relationship-management, self-awareness and social-awareness

A simulation study of semiparametric estimation in copula models based on minimum Alpha-Divergence

The purpose of this paper is to introduce two semiparametric methods for the estimation of copula parameter. These methods are based on minimum Alpha-Divergence between a non-parametric estimation of copula density using local likelihood probit transformation method and a true copula density function. A Monte Carlo study is performed to measure the performance of these methods based on Hellinger distance and Neyman divergence as special cases of Alpha-Divergence. Simulation results are compared to the Maximum Pseudo-Likelihood (MPL) estimation as a conventional estimation method in well-known bivariate copula models. These results show that the proposed method based on Minimum Pseudo Hellinger Distance estimation has a good performance in small sample size and weak dependency situations. The parameter estimation methods are applied to a real data set in Hydrology.Comment: 14 page

Effect of Implant Diameter on its Survival Rate among a Group of Iranian Warfare Victims Presenting to QaziTabatabai Clinic Affiliated to Shahid Beheshti University during 2000-2010

Objective: At present, treatment of edentulous areas with implant-supported prosthesis has greatly increased. The aim of this study was to assess the survival rate of implants with different diameters. Methods: This retrospective study was conducted on 239 warfare victims presenting to Qazi Tabatabaie Clinic during 2000-2010. A total of 1,649 implants were placed. The success criteria included presence of osteointegrated implants with no sign of infection, mobility, or lucency around them. Data were extracted from patients’ records and recorded in questionnaires. Statistical analysis was carried out using Chi-square or Log-Rank test.Results: A total of 1,533 implants were evaluated out of which, 61 (4%) had failed. Survival rate of implants of different brands had a significant association with implant diameter as the highest failure rate was observed in implants with 5-6.5 mm diameter and the lowest failure rate belonged to 3-3.5 mm diameter implants.Conclusion: Study results demonstrated that the survival of implants may be affected by their diameter as the failure rate was higher in implants with greater diameters