List of Articles Recovery

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  1 - Prioritization of energy recovery technologies from municipal solid waste (Case study of Mashhad)
  Arman Shahnazari
  10.29252/.5.7.67
  Thermal energy recovery technologies which used to burn solid urban waste are one of the relatively new and appropriate methods in waste management. Heat and gases are generated by burning waste that can be used to generate energy. In this research, a decision model bas More

  Thermal energy recovery technologies which used to burn solid urban waste are one of the relatively new and appropriate methods in waste management. Heat and gases are generated by burning waste that can be used to generate energy. In this research, a decision model based on the Analytic Hierarchy Process (AHP) method is Provided to select the best thermochemical system based on three technical, economic and environmental criteria. In this study, waste incineration, gasification, pyrolysis and plasma systems were evaluated. Collection of required information was obtained by reviewing reliable sources and preparing and completing questionnaires. The study area in this study is Mashhad city. The results of this study indicate that among the studied systems, plasma system (technology) is the best option for energy recovery from solid wastes in Mashhad, after that, waste incineration, gasification and pyrolysis systems are in the next categories, respectively. Manuscript profile
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  2 - Enhancing Efficiency of Software Fault Tolerance Techniques in Satellite Motion System
  Hoda Banki babamir babamir Azam Farokh Mohammad Mehdi Morovati
  10.7508/jist.2014.03.006
  This research shows the influence of using multi-core architecture to reduce the execution time and thus increase performance of some software fault tolerance techniques. According to superiority of N-version Programming and Consensus Recovery Block techniques in compar More

  This research shows the influence of using multi-core architecture to reduce the execution time and thus increase performance of some software fault tolerance techniques. According to superiority of N-version Programming and Consensus Recovery Block techniques in comparison with other software fault tolerance techniques, implementations were performed based on these two methods. Finally, the comparison between the two methods listed above showed that the Consensus Recovery Block is more reliable. Therefore, in order to improve the performance of this technique, we propose a technique named Improved Consensus Recovery Block technique. In this research, satellite motion system which known as a scientific computing system is consider as a base for our experiments. Because of existing any error in calculation of system may result in defeat in system totally, it shouldn’t contains any error. Also the execution time of system must be acceptable. In our proposed technique, not only performance is higher than the performance of consensus recovery block technique, but also the reliability of our proposed technique is equal to the reliability of consensus recovery block technique. The improvement of performance is based on multi-core architecture where each version of software key units is executed by one core. As a result, by parallel execution of versions, execution time is reduced and performance is improved. Manuscript profile
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  3 - A Novel Approach for Establishing Connectivity in Partitioned Mobile Sensor Networks using Beamforming Techniques
  Abbas Mirzaei Shahram Zandian
  10.52547/jist.16302.10.40.300
  Network connectivity is one of the major design issues in the context of mobile sensor networks. Due to diverse communication patterns, some nodes lying in high-traffic zones may consume more energy and eventually die out resulting in network partitioning. This phenomen More

  Network connectivity is one of the major design issues in the context of mobile sensor networks. Due to diverse communication patterns, some nodes lying in high-traffic zones may consume more energy and eventually die out resulting in network partitioning. This phenomenon may deprive a large number of alive nodes of sending their important time critical data to the sink. The application of data caching in mobile sensor networks is exponentially increasing as a high-speed data storage layer. This paper presents a deep learning-based beamforming approach to find the optimal transmission strategies for cache-enabled backhaul networks. In the proposed scheme, the sensor nodes in isolated partitions work together to form a directional beam which significantly increases their overall communication range to reach out a distant relay node connected to the main part of the network. The proposed methodology of cooperative beamforming-based partition connectivity works efficiently if an isolated cluster gets partitioned with a favorably large number of nodes. We also present a new cross-layer method for link cost that makes a balance between the energy used by the relay. By directly adding the accessible auxiliary nodes to the set of routing links, the algorithm chooses paths which provide maximum dynamic beamforming usage for the intermediate nodes. The proposed approach is then evaluated through simulation results. The simulation results show that the proposed mechanism achieves up to 30% energy consumption reduction through beamforming as partition healing in addition to guarantee user throughput. Manuscript profile
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  4 - The Relationship of Work- Family Conflict and Interpersonal Conflict with Psychological Strain and Life Satisfaction
  Abdulzahra Naami Maryam Mahmoodikia
  The aim of this study was to investigate the relationship between work-family conflict with psychological strain and life satisfaction, considering the moderating role of recovery of work. Parties pants are employees of Aghajari Oil and Gas Production Company that one h More

  The aim of this study was to investigate the relationship between work-family conflict with psychological strain and life satisfaction, considering the moderating role of recovery of work. Parties pants are employees of Aghajari Oil and Gas Production Company that one hundred forty three individuals were selected by stratified random sampling method. Data were gathered by Work-Family Conflict Scale (Carlson, Kacmar& Williams, 2000), Recovery of Work Questionnaire (Sonnentag, & Fritz, 2007), General Health Questionnaire (Goldberg, 1972) and Life Satisfaction Scale (Diener, Emmons, Larsen & Griffin). Results indicated that work-family conflict had positively correlation with psychological strain and had negatively correlation with life satisfaction. Results also revealed that recovery of work moderated the relationship of work-family conflict with psychological strain and life satisfaction and positive correlation between work-family conflict and psychological strain and negative correlation work-family conflict and life satisfaction at individual with great recovery of work is weaker. Manuscript profile
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  5 - Design, Development and Fabrication of Two-Parameter Synthetic Short-Circuit Test for VCB Using Nnetwork-Connected Current Circuit
  Alireza Omidkhoda J. Jafari Behnam M. S. Mirghafourian Abdolah Geraiely H. Kazemi Karegar Hamidreza Sadeg mohamadi
  One of the main tests of power circuit breaker is to evaluate their breaking capability. Direct test requires a high power source capacity but using the synthetic method and supplying current and voltage from two separated sources, allows to significant power reduction. More

  One of the main tests of power circuit breaker is to evaluate their breaking capability. Direct test requires a high power source capacity but using the synthetic method and supplying current and voltage from two separated sources, allows to significant power reduction. This paper presents the design, development and fabrication of a synthetic circuit for testing vacuum circuit breaker using distribution network as current circuit. The development and construction of this equipment has made possible to perform short circuit breaking test on VCB according to international standards. Laboratory measurements show good conformity between design and fabrication. Manuscript profile
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  6 - Detection and Recovery of Corrupted Images After High Rate of Tampering Attacks
  Faranak Tohidi Mohammad Reza Hooshmandasl
  In recent years, illegally copying digital images and even manipulating them, without great loss of quality and at a low cost has been made possible. Watermarking has recently been developed as one of the methods to detect that tampering has occurred and even enable som More

  In recent years, illegally copying digital images and even manipulating them, without great loss of quality and at a low cost has been made possible. Watermarking has recently been developed as one of the methods to detect that tampering has occurred and even enable some recovery of the original images. However, there are still many issues to resolve in providing an effective watermark that can detect and recover a wide range of manipulations. Furthermore, the accuracy of detecting and the capability of the recovery of the original images by existing methods are still not at an acceptable level. These problems are more critical when certain high-rate manipulation attacks occur. In this paper, a watermarking method will be introduced that not only is able to detect any tampering, but also can successfully recover the original images in high quality, even at high tampering rates. In this method, Singular Value Decomposition (SVD) is used to detect tampering and Optimal Iterative Block Truncation Coding (OIBTC) has also been applied to recover lost data. This paper proposes a powerful way to increase detection sensitivity while increasing watermark resistance for the effective recovery of corrupted images. The results prove the superiority of the proposed method over current methods.92% of tasks are executed successfully in the edge environment. Manuscript profile
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  7 - A Novel Detector based on Compressive Sensing for Uplink Massive MIMO Systems
  Mojtaba Amiri Amir Akhavan
  10.52547/jist.34192.10.40.249
  Massive multiple-input multiple-output is a promising technology in future communication networks where a large number of antennas are used. It provides huge advantages to the future communication systems in data rate, the quality of services, energy efficiency, and spe More

  Massive multiple-input multiple-output is a promising technology in future communication networks where a large number of antennas are used. It provides huge advantages to the future communication systems in data rate, the quality of services, energy efficiency, and spectral efficiency. Linear detection algorithms can achieve a near-optimal performance in large-scale MIMO systems, due to the asymptotic orthogonal channel property. But, the performance of linear MIMO detectors degrades when the number of transmit antennas is close to the number of receive antennas (loaded scenario). Therefore, this paper proposes a series of detectors for large MIMO systems, which is capable of achieving promising performance in loaded scenarios. The main idea is to improve the performance of the detector by finding the hidden sparsity in the residual error of the received signal. At the first step, the conventional MIMO model is converted into the sparse model via the symbol error vector obtained from a linear detector. With the aid of the compressive sensing methods, the incorrectly detected symbols are recovered and performance improvement in the detector output is obtained. Different sparse recovery algorithms have been considered to reconstruct the sparse error signal. This study reveals that error recovery by imposing sparse constraint would decrease the bit error rate of the MIMO detector. Simulation results show that the iteratively reweighted least squares method achieves the best performance among other sparse recovery methods. Manuscript profile
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  8 - Exploring the Effect of Perceived Forgiveness Climate on Female Practitioners of Tourism Industry
  Fariborz Rahimnia Farshad Ghaderi
  As Women who form almost half of each society’s population significantly contribute to the fulfillment of national goals, their effective role in the service sector of societies is becoming increasingly important. While the positive impact of forgiveness climate on orga More

  As Women who form almost half of each society’s population significantly contribute to the fulfillment of national goals, their effective role in the service sector of societies is becoming increasingly important. While the positive impact of forgiveness climate on organizational performance has been confirmed, many organizations have neglected this factor in their performance improvement. This applied survey research, therefore, sought to investigate the effect of perceived forgiveness climate on the efficiency of service recovery through the mediating role of psychological safety and organizational fairness. The population of the study consisted of 390 female employees who were selected from four and five-star hotels of Mashhad. The findings of this study indicated that perceived forgiveness climate had a positive and significant impact on women’s psychological safety and organizational fairness. It was also found that psychological safety and organizational fairness were effective in the efficiency of service recovery. Moreover, the mediating role of psychological safety and organizational fairness was also confirmed. Manuscript profile
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  9 - Comparing the Recovery of Blood Lactate to Uchi- Komi Training in Male and Female judoka
  Fariborz  Sayyadoghly Mohammad Reza Fadaei CHafy
  Background: One of the reasons in judo fight is the accumulation of muscle lactate; therefore, searching for suitable method to reduce recovery time during competitions and comparing the recovery of male and female judo players is the aim of this research. Materials an More

  Background: One of the reasons in judo fight is the accumulation of muscle lactate; therefore, searching for suitable method to reduce recovery time during competitions and comparing the recovery of male and female judo players is the aim of this research. Materials and Methods: 17 judokas including nine men (age: 19.94±1.68, weight: 68.57±10.03 and height: 176.77±7.44) and eight women (age: 25.62±3.48, weight: 62.70±40.0 and height: 160.7±87.31), voluntarily participated in semi-experimental study. Subjects performed Uchi-kumi training until exhaustion in two separate sessions as two active and passive recoveries with a time interval of 48 hours. Blood lactate was measured before, immediately, 5 and 10 minutes after exercise. In passive recovery, subjects sat on a chair, and in active recovery, uchi-kumi training was performed without a training opponent. Data were analyzed by analysis of variance with repeated Measures and t-test. Results: After 5 minutes, lactate reduction was significant only in active recovery for men (P=0.001) and women (P=0.001); But in 10th minute of recovery, lactate reduction in both active states for men (P=0.001) and women (P=0.048) and passive states for men (P=0.001) and women (P=0.001) It was significant. In addition, the changes between men and women were similar in both cases. Conclusion: An increase in blood lactate after uchi kumi training was expected; however, passive recycling required at least 10 minutes. Therfore, 5 minutes of Uchi Kumi training without a training opponent, regardless of the effect of gender, accelerated the recovery and prepared the judokas to participate in the next competition. Manuscript profile