When some suppliers offer trade credit periods and price discounts to retailers in order to increase the demand of their products, retailers have to face different types of discount offers and credits within which the...
When some suppliers offer trade credit periods and price discounts to retailers in order to increase the demand of their products, retailers have to face different types of discount offers and credits within which they have to take a decision which is the best offer for them to make more profit. The retailers try to buy perfect-quality items at a reasonable price, and also they try to invest returns obtained by selling those items in such a manner that their business is not hampered. In this point of view, we consider an economic order quantity (EOQ) model for various types of time-dependent demand when delay in payment and price discount are permitted by suppliers to retailers. The models of various demand patterns are discussed analytically. Some numerical examples and graphical representations are considered to illustrate the model.
Let G = ( V , E ) be a simple connected undirected graph. Each vertex v ∈ V has a cost c ( v ) and provides a positive coverage radius R ( v ). A distance d uv is associated with each edge { u , v } ∈ E, and d ( u ,...
Let G = ( V , E ) be a simple connected undirected graph. Each vertex v ∈ V has a cost c ( v ) and provides a positive coverage radius R ( v ). A distance d uv is associated with each edge { u , v } ∈ E, and d ( u , v ) is the shortest distance between every pair of vertices u , v ∈ V . A vertex v can cover all vertices that lie within the distance R ( v ), except the vertex itself. The conditional covering problem is to minimize the sum of the costs required to cover all the vertices in G . This problem is NP-complete for general graphs, even it remains NP-complete for chordal graphs. In this paper, an O ( n 2 ) time algorithm to solve a special case of the problem in a trapezoid graph is proposed, where n is the number of vertices of the graph. In this special
case, d uv = 1 for every edge { u , v } ∈ E , c ( v ) = c for every v ∈ V ( G ), and R ( v ) = R , an integer >1, for every v ∈ V ( G ). A new data structure on trapezoid graphs is used to solve the problem.
In a seated posture into an autovehicle, humans are most sensitive to whole-body vibrations under low-frequency excitation. This research is focused only on the effect of the backrest angle on the biodynamic response ...
The increasing prevalence of botnet attacks in IoT networks has led to the development of deep learning techniques for their detection. However, conventional centralized deep learning models pose challenges in simulta...
The increasing prevalence of botnet attacks in IoT networks has led to the development of deep learning techniques for their detection. However, conventional centralized deep learning models pose challenges in simultaneously ensuring user data privacy and detecting botnet attacks. To address this issue, this study evaluates the efficacy of Federated Learning (FL) in detecting IoT malware traffic while preserving user privacy. The study employs N-BaIoT, a dataset of real-world IoT network traffic infected by malware, and compares the effectiveness of FL models using Convolutional Neural Network, Long Short-Term Memory, and Gated Recurrent Unit models with a centralized approach. The results indicate that FL can achieve high performance in detecting abnormal traffic in IoT networks, with the CNN model yielding the best results among the three models evaluated. The study recommends the use of FL for IoT malware traffic detection due to its ability to preserve data privacy.
These are the proceedings of the first teacher training of the Erasmus+ project No. 2020-1-PT01-KA203-078646 -- Sustrainable. The full title of this project is Promoting Sustainability as a Fundamental Driver in Softw...
详细信息
Model predictive control (MPC) is an optimization-based approach that has been successfully applied to a wide variety of control problems. In most of nonlinear strategies, the controllers are based on linear models wi...
The article raises the issue of organizing the signal processing process in existing classes of digital systems and analogue-to-digital converters. The authors indicate a significant problem of the synthesis of contro...
The article raises the issue of organizing the signal processing process in existing classes of digital systems and analogue-to-digital converters. The authors indicate a significant problem of the synthesis of controlled action (and its adequate perception by the control system through the "sensory level of perception", in particular, the aspectology of redundancy in computing power and the problem of choice and delegation in stream processing of signals).A solution for an information system for collecting and managing data based on peripheral interrogation of sensors is generalized and formalized. For the first time authors are developing a new class of hardware devices that combine the principles of organization of neural pathogens (perceptrons) that work within the activation function and trend line (neural memory), and quantum logic in a Boolean basis. The functional testing of the developed device is presented, the simplicity and reliability of the hardware implementation is indicated. While formulating research methods, the goal is to develop a reliable integrative system for information support of the hardware circuit system. A structural block of controlled addiction has been implemented, taking into account quantum caching that is taken as a mean of ensuring the unity and consistency of data transmission from the measuring environment in case of increasing its structural component. Options for the practical implementation of the information and analytical structure of the hardware perceptron in the industrial Internet of Things are considered in the conclusion.
The aim of this paper is to show the usefulness of the multicriteria approach to optimize the Parallel Kinematic Machines (PKM). Variations of the kinematic performances index remain not constant throughout workspace....
作者：
Skogsvik, KenthThe author is from the Department of Accounting and Finance
Stockholm School of Economics Sweden. The article is based on his Ph.D. dissertation. He wishes to thank his advisor Professor Sven‐Erik Johansson for encouragement and advice. Also he is grateful for many helpful comments by Professor Nils Hakansson (University of California Berkeley) Matti Kinnunen and Eva Widhem. The computer programming for the project was executed by Matti Kinnunen and Eva Widhem. Financial support for the research was provided by Bankforskningsinstitutet and Carl‐Berthel Nathhorsts Vetenskapliga Stiftelse.
暂无评论