Internet of Things (IoT) devices are known to generate enormous amount of data which can be processed and stored with the support of cloud heterogeneous processing and storage resources. Extant algorithms consider deadline of tasks for virtual machine (VM) allocation migrations, without considering the local space entrapment issue. This creates a resource starvation leading to unbalanced resource utilization, numerous number of VM migrations, and consumes energy usage. To resolve this problem, an Efficient Resource Ranking-based Glowworm Swarm Optimization (ERGSO) approach is proposed. The Functions of ERGO comprise of efficient selection of resource requirement rates while considering local optima entrapment for IoT request job execution, comprehensive resource balance ranking, and resource utilization square model for VM migrations. Experimment was conducted to ascertain the performace of the proposed technique and validated with existing techniques. Simulation outcome depicts that the ERGSO outperformed the benchmark Resource Fragmentation Aware (RF-A) and Efficient Energy Resource ranking-Virtual Machine Selection (ERVS) techniques, with minimum number of 608 Virtaul Machine migrations, 47.62% Resource Utilization and 41.13% Load Balancing Degree. Therefore, the proposed ERGSO has proven to be effective and efficient for the execution of IoT sensory data tasks with the utilization of cloud resources.
In this paper, we propose a new compression algorithm which compresses plain texts by using a dictionary based model and a compressed string matching approach that can be used with the compressed texts produced by this algorithm. The compression algorithm (CAFTS) can reduce the size of the texts to approximately 40% of their original sizes. The presented compressed string matching approach (SoCAFTS), which can be used with any of the known pattern matching algorithms, is compared with a powerful compressed string matching algorithm (ETDC) and a compressed string matching tool (Lzgrep). Although the search speed of ETDC is very good in short patterns, it can only search exact words and its compression performance differ from one natural language to another because of its word-based structure. Our experimental results show that SoCAFTS might be a good solution when it is necessary to search long patterns in a compressed document.
Background: In this present research the relationship between attachment to religious obligations and life satisfaction among the elderly was studied in Ahwaz.\nMethods: This study was cross-sectional conducted on 201 elderly people in Ahwaz selected by cluster sampling. The data collection consists of the practice of religious beliefs questionnaire (temple) and life satisfaction (SWLS). Data were analyzed using SPSS software and independent sample T-test, Pearson correlation and linear regression analysis.\nResults: Four main areas of the temple scale, practice to obligations, desirable practice, membership in religious groups and religious involvement in decision making and choice, had a significant relationship with life satisfaction. The difference between scores of life satisfaction and attachment to the religious obligations of old men and women were significant. \nConclusions: Life satisfaction is more in elderly who are interested in religious practice, and this is consistent with the teachings of Islam.
In this paper, we define chain recurrence and study properties of chain recurrent sets in a nonautonomous discrete dynamical system induced by a sequence of homeomorphisms on a compact metric space. We also study chain recurrent sets in a nonautonomous discrete system having shadowing property.
Complexity theory is a nonlinear alternative for linear life cycle models which applies to model the behavior of the organizations and some Specific complexity-based methodologies and their potential for public relations are studied. The complexity theory can be understood more accurately and applied more effectively in the study of organizations and related subjects, if we consider it from the dynamical systems viewpoint. In this paper we describe a one to one correspondence between all features of organizational workflows and dynamical systems and so considered the organizational workflow as a social realization of a dynamical system and in the same way, show that crisis in an organization can be considered as a chaotic state of a dynamical system. Finally we give some examples to show that any mechanism of arising crisis in organization has a similar in the methods of route to chaos.
This paper examines the effect of line balancing on the function of assembly line. In the first section, we have discussed the multi-worker assembly line balancing problem, methods of solving the problem. In the second section, three methods of Taguchi, Largest Candidate Rule, and Ranked Positional Weight have been applied to assembly line balancing of SAIPA automotive company. By comparing the performance criteria of the number of stations, the number of workers, and the line productivity for the two states of before and after balancing, the impact of the line balancing on the function of assembly line has been illustrated.
The study examines the current status of education of residents of Kamalpur village of Patiala district of Punjab, India. The method employed was mixed i.e. quantitative and qualitative. The research was conducted on a target population of 1489 residents of Kamalpur village. The villagers were requested to give information about their current educational status and their experiences and views regarding girls’ education. The findings suggested that child labour or sending their wards to work to earn money is the major reason of low educational qualification. Furthermore, it was found that atrocities against girls are still prevailing in the society. Girls are not allowed to go out of the home for the study. Based on a thorough assessment of the findings in the present research the investigators are of opinion that Education to be instrumental in rising the status of education of people and removing the gender stereotyping to create an impression that girls are not inferior which is the major factor in the process of educating the girl child.
Maghnite is a montmorillonite sheet silicate clay that is exchanged with protons to produce Maghnite-H+ (Mag-H+). This non-toxic and cheaper cationic catalyst was used for the copolymerization of ε-caprolactone (CL) with tetrahydrofuran (THF), in presence of acetic anhydride (AA). The effects of the amounts of Mag-H+, acetic anhydride and the temperature on the synthesis of poly (ε-caprolactone-co-tetrahydrofuran) were studied. The copolymer obtained was characterized by 1H-NMR and IR spectroscopy.