Eavesdropping attacks have become one of the most common on networks because their easy implementation. not only lead to transmission data leakage but also develop into other more harmful attacks. Routing randomization is a relevant research direction for moving target defense, which has been proven be an effective method resist eavesdropping To counter attacks, in this study, we analyzed existing routing methods and found that security usability need further improved. According...

This report explores the power transition mechanism in context of China-US strategic competition, focusing on factors that influence this and possible coexistence models for enhanced cooperation. study reviews theory transition, evolving nature bilateral relations, highlighting changes global economic political landscape. argues despite competition between two countries, there are important common interests addressing challenges. Finally, emphasizes importance communication crisis...

An efficient and precise diagnosis of retinal diseases is a fundamental goal for auxiliary diagnostic systems in ophthalmology. Inspired by the importance scattered subtle lesions manual disease diagnosis, recent research has achieved state-of-the-art performance mining information related to lesions, including their texture shape. However, spatial distribution patterns lesion areas, which are also crucial have been overlooked existing research. Neglecting these (e.g., ring microaneurysms...

We study the dynamic incentive interactions between a platform and third-party seller over two stages, where exerts product-value-enhancement effort in first stage anticipation of platform’s potential entry second stage. Upon entry, can exert to boost value product sold by platform, with positive spillovers platform. show existence both protective receptive regimes, characterizing necessary sufficient conditions for each regime. These are thresholds type respect parameters including degree...

Problem definition: We consider a platform’s problem of how to staff its operations given the possibilities hiring employees and setting up contractor marketplace. aim understand operational difference between these two work arrangement models. Methodology/results: model where demand is not only stochastic but also evolving over time, which we capture via state world that determines distribution. In case employees, platform controls number employee hours it uses for serving demand, whereas...

We consider a platform's problem of how to staff its operations given the possibilities hiring employees and setting up contractor marketplace. aim understand operational difference between using contractors employees, as well potential for hybrid staffing solution. an environment where demand is not only stochastic, but also evolving over time, which we capture via state that determines distribution. The platform controls number employee hours it uses serving demand, wage paid per utilized...

Problem definition: It is common practice for firms to deploy strategies based on customer segmentation (by clustering customers into different segments) and price discrimination offering prices segments). Price discrimination, although seemingly beneficial, can hurt in competitive environments. Academic/practical relevance: thus critical understand when engage how support discriminatory pricing practices with appropriate inventory management strategies. This paper tackles this overarching...

The generation of speckle patterns via random matrices, statistical definitions, or apertures may not always result in optimal outcomes. Issues such as correlation fluctuations low ensemble numbers and diffraction long-distance propagation can arise. Instead improving results specific applications, our solution is catching deep correlations with the framework, Speckle-Net, which fundamental universally applicable to various systems. We demonstrate this computational ghost imaging (CGI)...

Path redundancy is essential for safety and reliability in many real-world routing problems, such as the design of networks power transmission, transportation, etc. These problems are typically posed to find shortest path on a weighted graph. For with redundancy, particularly Disjoint Shortest 2-Path (DS2P) problem, two disjoint paths desired that combined weight minimized while minimum distance separation maintained. The conventional formulation above requires large-scale mixed-integer...

Problem definition: We investigate the optimal salesforce compensation scheme in context of private information and unobservable actions, considering common operational factors encountered practice, including inventory costs, contractible versus censored demand information, controlled delegated ordering. Methodology/results: Based on an agency model with general cost functions, we derive optimality conditions for implementable contracts that can achieve second-best outcome all scenarios. The...

In this paper, we present a method for speckle pattern design using deep learning. The patterns possess unique features after experiencing convolutions in Speckle-Net, our well-designed framework generation. We then apply to the computational ghost imaging system. standard learning-assisted methods use network recognize reconstructed objects or algorithms. contrast, innovative application optimizes illuminating via Speckle-Net with specific sampling ratios. Our method, therefore, outperforms...

It is common practice for firms to deploy strategies based on customer segmentation (by clustering customers into different segments) and price discrimination offering prices segments). Price discrimination, although seemingly beneficial, can hurt in competitive environments. thus critical understand when engage how support discriminatory pricing practices with appropriate inventory management strategies. This paper tackles this overarching question through operational lenses, by studying...

Target detection has a wide application prospect in many scenarios, but the current surface defect generally some problems such as low precision of small target or excessive resource cost. In this paper, aiming at characteristics industrial micro-defects and idea that most important component Feature Pyramid Networks(FPN) is divide conquer based on different situation, we propose feature backtracking network structure. structure, negative weight background judgment base are introduced to...

Problem definition: We study how a firm should design its compensation plan to include both the sales performance and operational (i.e., supply/demand mismatch), for division, who not only exerts unobservable demand-enhancement efforts but also makes inventory ordering decision based on her private information about local territory. Methodology/results: build classical agency model by incorporating mismatch delegation. derive closed-form expression firm's optimal scheme in most general...

The violent electricity price fluctuations pose negative affections on the market operation, especially as renewable energy with high uncertainty increases. accurate evaluation of risks can aid operators in taking prompt measures to maintain stability, and also assist participants avoiding economic losses. To address this challenge, we propose a data-driven framework evaluate risk based real data. First, novel elasticity indicator is developed, which calculated publicly available data supply...

It is easy to generate burrs on non ferrous metals in the process of casting. At present, repair operations metals, such as grinding and cutting, are carried out manually factory. Intelligent automatic ingot methods needed which, defect identification key point. Based this, this paper proposes an intelligent algorithm with characteristics high efficiency precision. Firstly, metal image extracted by edge detection, Hough line detection parameter calibration. Secondly, HSV color segmentation...