Consensus algorithm is the key to achieve the final consistency of blockchain system. The consensus algorithm of blockchain also provides a solution to the consensus problem in distributed system.After explaining the development history of consensus algorithm, this paper analyzes the current mainstream block chain consensus algorithm model as well as its advantages and disadvantages.And the development of block chain consensus algorithm in the future is prospected

Time series are widely used in financial data, streaming media data, weather data, census data, and system log data. It is very important to find frequently repeated patterns (motifs) in the time series. But, finding motifs is a complicated task due to its huge dimensions. In order to fix the dimension problems and reduce the calculation time of time series, researchers have done a lot of research on the dimensions of the time series, but they have not made much breakthrough. Therefore, this paper has carried out related work research to improve the problem: (i) Preprocessing the time series.(ii) Using the more popular neural network-stacked autoencoder to extract features of time series, which can reduce the number of time series calculations. (iii) Running a large number of experiments to verified the accuracy of time series motif search combined with stacked autoencoders.

The study found that the method in this paper can not only guarantee the validity of the time series motifs, but also ensure the accuracy (about 88%).

There has been a tremendous change in the field of human resource management is playing a very dominant role in organizations with newly evolved strategies and systems that keeps evolving with the introduction of technology. Human resource functions are mostly connected with the employees, stake holders and the people who are connected with the firm. It is mainly designed in such a manner that the individual goals align with the organizational goals and which in turn reflects the performance of the work force and productivity of the concern.

Purpose The concept of image restoration originated from the manual restoration of murals and other artworks during the European Renaissance. Image restoration technology is different from other processing technologies in the field of computer vision. It has high requirements for image feature extraction. Therefore, restoration techniques based solely on convolution and other methods cannot achieve human visual recognition in terms of restoration effects. The proposal of Generative Adversarial Network (GAN) provides a new idea for the field of image restoration. It adopts the idea of image generation model and discriminant model for adversarial training, and the repair effect is more in line with the characteristics of visual perception. Method Generative confrontation network has more powerful feature learning and feature expression capabilities than traditional machine learning algorithms when performing image processing. In the early stage of a large number of literature research work, it is found that the conditional generative confrontation network CGAN, the deep convolution-based generative confrontation network DCGAN and the Wasserstein generative confrontation network are more widely used. This article mainly introduces the basic ideas and methods of GAN, CGAN, DCGAN and WGAN, and analyzes and summarizes their advantages and disadvantages in image restoration. Conclusion The current research on GAN-based image restoration methods has made a certain degree of progress, but GAN as a new type of network model still needs further research in theory

Mild steel containing 0.15% to 0.45% of Carbon is naturally available material for industrial spare parts manufacturing process.  For the reason of low carbon steel it is very soft materials, it is necessary to harden the mild steel for manufacturing purposes. Without hardening & tempering any industrial spare parts which surface is direct contact to any other surface of a part of a machine is broken rapidly in the industry. For this reasons to improve the surface hardness of mild steel is done in which the surface harness of the low carbon steel changes by hardening heat treatment process and results in to hard outer case with good wear resistance. The mild steel was harden a temperature of 900˚C for 8 hours. In this investigation, after hardening and tempering heat treatment process the resultant hardness has been measured

This research begins with the phenomenon of financial statement manipulation by a Japanese company (Olympus) and the presentation of the annual financial statements of PT. Garuda Indonesia, Tbk which is not in accordance with the standards of the OJK Regulations and is not in accordance with the Statement of Financial Accounting Standards (PSAK). This study aims to examine and analyze the significant effect of compliance with accounting rules and management accounting morality on the tendency to fraud in accounting. This research is quantitative with a causal approach. The population of this is private companies in the Jakarta and Tangerang regions. The sample used consisted of 60 companies. Data were analyzed using the structure of the Equation Model (SEM) Second order confirmatory with the Partial Least Square (PLS) approach. The results showed that compliance with accounting rules did not have a significant effect on the tendency of accounting fraud. Conversely, Management Morality has a significant effect on the tendency of accounting fraud

Hygienic practices in rural India play a very vital role in achieving public health. Unhygienic practices of people in rural area leads to various diseases among them, especially children. This leads to water and air borne diseases like food poisoning, cold, flu, skin infections and similar others. Unhygienic environment includes stagnant sewage water, no inbuilt toilet facilities, unhealthy disposal of garbage, improper storage food products, unclean drinking water and many more leading to health issues among people. These critical factors further leads to increase in mortality and morbidity rate among rural Indian population