The cases of trademark infringement on substantial similarity still relatively common in Indonesia. This article aims to analyze the basis for the judge's consideration in the decision Number 1146 K / Pdt.Sus-HKI / 2020. This is based on the disparity of Decision Number 69 / Pdt.Sus / Mark / 2019 / PN with Decision Number 1146 K / Pdt.Sus-HKI / 2020. This research uses doctrinal research using statute, case, and conceptual approaches. The results showed that the judges' basic considerations were not in accordance with regulations and several legal concepts. First, that the trademark protection system based on territorial territory and the first to file system principle should not be used as a basis for consideration. Second, that the two brands are basically similar because of the similarities in the dominant element and the similarity in sound or speech with the addition of the same class of goods. Third, the word "predator" cannot be categorized as a generic word, because the word predator has been added with a logo as a condition for a research, excluding generic brands. As a recommendation in deciding this matter, regarding the existence of bad faith, due to bad faith, a cancellation of a registered mark can be submitted indefinitely.
The article discusses approaches to the organization of pre-professional training of students in 10–11th grades within the framework of the project "IT class in Moscow school", the task of which is to create a platform for training specialists in IT sphere. The basis for training students in informatics in the project "IT class in Moscow school" is the discipline "Basic informatics course", designed for two years of study, four hours a week. Thematic course planning is presented in the article. The content of the new textbook for the 11th grade is described in detail, including the following topics: "Graphics and multimedia", "Files and file system", "Modeling and game theory", "Databases", "Web programming", "Uneven coding, noiseproof codes", "Complexity of algorithms", "Algorithms", "Programming paradigms".
Mobile edge computing (MEC) provides users with low-latency, high-bandwidth, and high-reliability services by migrating the computing power of the cloud computing center to the edge of the network. It is thus being considered an effective solution for the contradiction between the limited computing capabilities of Internet of Things (IoT) devices and the rapid development of delay-sensitive real-time applications. In this study, we propose and design a container union file system based on the differencing hard disk and dynamic loading strategy to address the excessively long migration time caused by the bundling transmission of the file system and container images during container-based service migration. The proposed method involves designing a mechanism based on a remote dynamic loading strategy to avoid the downloading of all container images, thereby reducing the long preparation time before which stateless migration can begin. Furthermore, in view of the excessive latency of the edge service during the stateful migration process, a strategy for avoiding the transmission of the underlying file system and container images is designed to optimize the service interruption time and service quality degradation time. Experiments show that the proposed method and strategy can effectively reduce the migration time of container-based services.
Automatic fare collection system (AFCS) is a modern, automatic, networked toll collection system for rail transit ticket sales, collection, billing, charging, statistics, sorting, and management. To realize the subway transit networking operation, this paper designs the subway AFCS based on a distributed file system (DFS), namely, Gluster File System (GlusterFS). Firstly, the multiline center (MLC) in the subway AFCS is designed to analyze the status and current situation of distributed file processing in subway MLC system; secondly, the relevant technical theories are summarized, the Bayesian Network (BN) theoretical model and DFS are explored, and the principles of four DFS are comparatively analyzed; thirdly, the architecture and cluster mode of GlusterFS is expounded, and then based on GlusterFS, the architecture of subway AFCS is discussed. This paper presents several innovation points: first, the subway AFCS is designed based on GlusterFS by analyzing and aiming at the functional requirements, performance requirements, and safety requirements of the MLC subway system; second, the safety risk analysis (SRA) of AFCS is conducted from six security requirements, and a Web scanning system is designed to ensure the system data security. Finally, the design scheme is used to analyze the subway passenger flow and power consumption. The results demonstrate that the design scheme can competently adapt to three different application scenarios. Through comparison of two deployment modes of the Web scanning system, the data security Web scanning system can ensure the safe operation of the AFCS. Furthermore, the statistical analysis of subway passenger flow and power supply data shows that the proposed scheme can support the smooth operation of the subway system, which has significant practical value.
This research revolves around understanding the Cloud Storage Services offered by world's most famous Cloud Provider Amazon Web Services (AWS). We will be covering major Cloud Storage Services like EBS, S3 and EFS. But first let’s understand more about AWS. We should use these end-of-life services as a per-project and keep in mind the key benefits of these end-to-end services. Amazon EBS brings the highest end-to-end prices available with block for level of Amazon Elastic Compute Cloud (EC2) instances. Saves data to file system stored after EC2 status closure. Amazon EFS provides portable file storage, also designed for EC2. It can be used as a standard data source for any application or load that works in most cases. Using the EFS file system, you can configure file system installation settings. The main difference between EBS and EFS is that EBS is only accessible from a single EC2 state in your specific AWS region, while EFS allows you to mount a file system in multiple regions and scenarios.