Journal of Future Generation of Communication and Internet of Things
Volume:2 Issue: 1, Jan 2023

Data Protection is all about prevent data lost or ability to restoring data in a certain time. It is really important to have a fault tolerance system that insure data lost would not happen. Some of these systems are RAID, Replication and Erasure Code. RIAD is a set of disks combined to represent as a logical disk. It has multiple levels that most of them copy data in some way that if a disk failed you don not loose any data. But RAID purpose is not necessarily duplicating data. Replication is a process of copying and storing data in different locations to improve data availability and accessibility across a network. It is a key component of disaster recovery. Data backup plan should be scheduled and periodically to have best restore point in case of a failure. Erasure Code is another method of Data Protection that is has some similarity to RAID. Erasure Code break data into fragments, expand and encode them with redundant data pieces and store data across a set of different locations or storage media.

Due to the increase in power consumption and the emergence of different distribution loads than in the past, it is necessary to plan the development of SEP substations. However, uncertain loads will always be inadequate in long-term planning. Regular development planning will lead to an unreliable network. In this article, in order to cover the uncertainties of location and size in the substation expantion Planning, the minimum load distance from the location of the posts is found and if necessary, the need to build a new post will be announced. Also, in the vicinity of post number 2, a 10 MW wind power plant has been designed and provided to satisfy the load. The wind farm is also simulated taking into account wind uncertainty. The method is based on finding the minimum load distance from existing posts and extending it as needed. The presence of cryptographic devices in the power grid as an indefinite burden has been the need to conduct this research. As a result of this research, the target post in load satisfaction is identified and in case of inefficiency in load satisfaction, the development planning of that post is considered to satisfy the load.

Deep learning techniques have been concentrated on medical applications in recent years. The proposed methodologies are inadequate while medical applications' evolutionary and complex nature is changing quickly and becoming harder to recognize. This paper presents a systematic and detailed survey of the deep learning techniques in medical pattern analysis applications. In addition, it classifies deep learning techniques into two main categories: advanced machine learning and deep learning techniques. The main contributions of this paper are presenting a systematic and categorized overview of the current approaches to machine learning methodologies and exploring the structure of the effective methods in the medical pattern analysis based on deep learning techniques. At last, the advantages and disadvantages of deep learning techniques and their proficiency were discussed. This state-of-the-art survey helps researchers comprehend the deep learning field and allows specialists in intelligent medical research to do consequent examinations.

The present research was conducted with the aim of comparing the effectiveness of virtual education based on positive psychology on the resilience of students of Tehran's gifted schools. This research is a semi-experimental type with a pre-test-post-test design with a control group. The statistical population of the research included all the students of the gifted schools, who were studying in the first secondary schools. In order to select subjects from one of the schools accessible to Tehran's brilliant talents in the first year of high school, 45 people were randomly selected and replaced in two experimental groups (n) and a control group. The pre-test was conducted for both groups. The first experimental group was During 14 sessions of 90 minutes, they were trained based on positive psychology, and the second group was trained based on cognitive-behavioral methods. During this period, the control group did not receive any training in these fields. Conclusion The results showed that there is a significant difference between the performance of the two groups in the resilience post-test. While, as expected, the resilience of the control group did not have significant changes, but training based on positive psychology improved the resilience index by 9.67% and changed their resilience performance. The effect of education based on cognitive-behavioral method, although it is less than the positive method, but it is with a significant amount of 6.27%, which can create relative changes in the resilience of students.

This paper presents a new algorithm based on simultaneous measurements by phasor measurement units in order to detect loss-of-synchronism of generator. The researchers believe that the criteria of equal energy levels and wavelet transformation are preferable to the usual methods, in the sense that in addition to the acceptable speed, their practical use in phasor control centers is also possible. Also, the two basic challenges of these methods, i.e. equalization of the network in the form of a two-machine model and estimation of the generator state in the time after the fault, have been solved. The importance of converting the power network to the two-machine equivalent network must be done adaptively and online, because the structure of the power network is not constant due to changes in the state of entry and exit of equipment. In this paper, with the help of the simultaneous information sent from the phasor measurement units installed in different points of the network, the equivalent circuit of two- machine of the power system has been calculated from the point of view of each power plant unit. Based on this and by using the developed equal levels criterion method which is introduced and developed in the paper and the wavelet transform, both in the local mode and in the wide measurement mode, there are methods to detect and predict the loss-of-synchronism is provided. In each section, the presented algorithm is tested on a standard network (preferably IEEE standard networks), for various situations of errors occurring in the system, and its results, both in terms of performance speed and accuracy, with usual industrial methods, which are impedance relays, have been compared

We introduce a new class of generalized inverse which is called π-Hirano inverse‎. Let A be a Banach algebra with an identity. We first recall the definitions of some generalized inverses. As is well known, in 1958, Drazin [6] defined, an element a∈A has Drazin inverse if there is the element a∈A which satisfies ax=xa, xax=x and a-a^2 x∈N(A). In this paper some elementary properties of the π-Hirano inverse are obtained‎. ‎We investigate the existence of the π-Hirano inverse for the anti-triangular operator matrix N=[0&B&C&D] with DCB=0 and et al‎. ‎Certain multiplicative and additive results for the π-Hirano inverse in a Banach algebra are presented‎. ‎We then apply some conditions under which a 2×2 block operator matrix has π-Hirano inverse over Banach spaces‎.