Cryptography is the core method utilized to protect the communications between different applications, terminals, and agents distributed worldwide and connected via the internet. Yet, with the distribution of the low-energy and low-storage devices, in the Internet-of-Things (IoT), the cryptography protocols cannot be implemented because of the power constraints or because the implementation is beyond the time constraints that hindered their usability of these protocols in real-time critical applications. To solve this problem, an Adaptive Multi-Application Cryptography System is proposed in this paper. The proposed system consists of the requirements identifier and the implementer, implemented on the application and transportation layer. The requirement identifier examines the header of the data, determines the underlying application and its type. The requirements are then identified and encoded according to four options: high, moderate, low, and no security requirements. The inputs are processed, and ciphertext is produced based on the identified requirements and the suitable cryptography algorithm. The results showed that the proposed system reduces the delay by 97% relative to the utilized algorithms' upper-bound delay. Keywords: Cryptography, symmetric key encryption, block cipher, delay and performance, quantum computing.
This book is about judicial review of public administration. Many have regarded this as dividing European legal orders, with judicial review of administrative action in the general courts or specialized administrative courts, or with different distance from the executive. There has been considerably less comparison of the basic procedural and substantive principles. The comparative study in this book of procedural fairness and propriety in the courts reveal not only differences but also some common and connecting elements, in a ‘common core’ perspective. The book is divided into four parts. The first explains the nature and purpose of a comparison to understand the relevance and significance of commonality and diversity between the legal systems of Europe, and which considers other legal systems which are more or less distant and distinct from Europe, such as China and Latin America. The second part contains an overview of the systems of judicial review in these legal orders. The third part, which is the heart of the ‘common core’ method, contains both a set of hypothetical cases and the solutions, according to the experts of the legal systems selected for our comparison, to the cases. The fourth part serves to examine the answers in comparative terms to ascertain not so much whether a ‘common core’ exists, but how it is shaped and evolves, also in response to the influence of supranational legal orders as the European Union and the Council of Europe.
We modify and optimize a cheap, simple and effective synthesis of zinc oxide nanosized particles by electrodeposition. The core method encompasses the synthesis of ZnO product on the soluble zinc anode of the two-zinc-electrode cell emerged in aqueous NaCl. Resulting particles have the shape of cocoa fruit, thick in the middle and sharp at the edges. They have uniform shape, but broad size distributions with most of the ZnO product 1-2 µm long and 0,5-0,7 µm thick. Thus, auxiliary stabilizers are added to aqueous phase to reduce the size and narrow its distribution in the target product. Here we present the size stabilizing action of four successful stabilizers: urea, polyvinyl alcohol, Triton x-100 and Atlas G3300. All of them reduce particle size and polydispersity. An anionactive surfactant atlas is the most effective, giving an order of magnitude nanorod size reduction.
Billions of packages are automatically handled in warehouses every year. The gripping systems are, however, most often oversized in order to cover a large range of different carton types, package masses, and robot motions. In addition, a targeted optimization of the process parameters with the aim of reducing the oversizing requires prior knowledge, personnel resources, and experience. This paper investigates whether the energy-efficiency in vacuum-based package handling can be increased without the need for prior knowledge of optimal process parameters. The core method comprises the variation of the input pressure for the vacuum ejector, compliant to the robot trajectory and the resulting inertial forces at the gripper-object-interface. The control mechanism is trained by applying reinforcement learning with a deep Q-agent. In the proposed use case, the energy-efficiency can be increased by up to 70% within a few hours of learning. It is also demonstrated that the generalization capability with regard to multiple different robot trajectories is achievable. In the future, the industrial applicability can be enhanced by deployment of the deep Q-agent in a decentral system, to collect data from different pick and place processes and enable a generalizable and scalable solution for energy-efficient vacuum-based handling in warehouse automation.
Nowadays distance learning (DL) has become a universal way of teaching students both technical and humanitarian disciplines. Any foreign language requires the mastering of a large number of teaching materials, this number increasing due to the language skills heterogeneity in each group and this requires the development of specific skills in each individual group of students. Hence, learning priorities must be correctly prioritized and the specific area of knowledge must be presented in details. This paper focuses on the main problems of the DL and some ways to overcome them. To observe the topic under consideration, research philosophy was chosen as a core method of scientific investigation. Comparative and qualitative analysis were used to understand and interpret definitions applied in the paper. In the process of DL, the authors have identified aspects that need to be taken into account when providing tasks for different levels groups. In this regard, reference is also made to the tasks and exercises that have proved to be very effective during the DL interaction with students.
Based on Standard Literature Library of CNKI, opportunities for technical standards development are identified. The initial keywords of technical standard are determined based on LDA model, whose similar keywords are further confirmed by Word2Vec, and then combining LDA model with Word2Vec the representative keywords of technical standard of manufacturing industry are determined. According to confirmed representative keywords, the core technical standards of manufacturing industry are identified by using the center degree and “M-core” method. The dimensions of the frequency square matrix are reduced by using the PCA module of Python, and the scatter plot is brawn, the technology gaps are identified by combing the consideration on the core technical standards, and then the future development opportunities are confirmed based on the map of patent technology effect matrix.