Content based authentication of visual cryptography

Visual Cryptography (VC) has been developed as a significant research arena in media security. Despite of its obvious strengths, recent investigations have debated this scheme from adverse aspects, its problem is lack of authentication of VC shares, VC authentication related to digital image processing and cryptography has not been fully integrated together in the past years. In this paper, we analyze both visual features and cryptographic features of VC shares and take use of them for VC authentication. Compared to those existing methods, our contribution is the first one to integrate visual features and cryptographic features of VC shares into Hash code for the purpose of VC authentication.     

Image compression-encryption scheme combining 2D compressive sensing with discrete fractional random transform

Multimedia Tools and Applications - Most of the existing image encryption algorithms based on compressive sensing are too complex to operate. An image compression-encryption scheme with simple...     

Fraud detection using fraud triangle risk factors

The objective of this study is to identify the financial statement fraud factors and rank the relative importance. First, this study reviews the previous studies to identify the possible fraud indicators. Expert questionnaires are distributed next. After questionnaires are collected, Lawshe’s approach is employed to eliminate these factors whose CVR (content validity ratio) values do not meet the criteria. Further, the remaining 32 factors are reviewed by experts to be the measurements suitable for the assessment of fraud detection. The Analytic Hierarchy Process (AHP) is utilized to determine the relative weights of the individual items. The result of AHP shows that the most important dimension is Pressure/Incentive and the least one is Attitude/rationalization. In addition, the top five important measurements are “Poor performance”, “The need for external financing”, “Financial distress”, “Insufficient board oversight”, and “Competition or market saturation”. The result provides a significant advantage to auditors and managers in enhancing the efficiency of fraud detection and critical evaluation.     

Event‐Triggered Control for Couple‐Group Multi‐Agent Systems with Logarithmic Quantizers and Communication Delays

This paper mainly investigates the event‐triggered control for couple‐group multi‐agent systems with communication delay. Logarithmic quantization is considered in the communication channels. Event‐triggered control laws are adopted to reduce the frequency of individual actuation updating for discrete‐time agent dynamics. The proposed protocol is efficient as long as the quantization levels are dense enough, i.e. the density of quantization levels goes to infinity is a sufficient condition for the asymptotic consensus of the multi‐agent systems. It turns out that the bounded consensus depends on not only the density of quantization levels, but also the updating strategy of events. Finally, a simulation example is given to demonstrate the effectiveness of the proposed methods.     

A Multi-Trip Split-Delivery Vehicle Routing Problem with Time Windows for Inventory Replenishment Under Stochastic Travel Times

This study considers a multi-trip split-delivery vehicle routing problem with soft time windows for daily inventory replenishment under stochastic travel times. Considering uncertainty in travel times for vehicle routing problems is beneficial because more robust schedules can be generated and unanticipated consequences can be reduced when schedules are implemented in reality. However, uncertainties in model parameters have rarely been addressed for the problems in this category mainly due to the high problem complexity. In this study, an innovative and practical approach is proposed to consider stochastic travel times in the planning process. In the planning model, the possible outcomes of vehicle arrivals and product delivery at retailers are systematically categorized and their associated penalty and reward are estimated. Thus, unanticipated costs for every scheduling decision can be incorporated into the planning model to generate vehicle routing schedules that are more robust facing uncertain traffic conditions. To solve the model that is characterized as an NP-hard problem in a reasonable amount of time, a two-stage heuristic solution algorithm is proposed. Finally, the stochastic model is compared with the deterministic model in both planning and simulated operation stages using the data of a supply chain in Taiwan. The result confirms that the schedule generated by the stochastic model is more robust than the one created with the deterministic model because undesired outcomes such as unfulfilled demands are greatly reduced.     

Rapid prototyping of single-layer microfluidic PDMS devices with abrupt depth variations under non-clean-room conditions by using laser ablation and UV-curable polymer

The growing demand for microfluidic analytical devices calls for fast, cost-effective and high-throughput fabrication methods. Here we report a low-cost rapid prototyping method for single-layer microfluidic PDMS devices with abrupt depth variations under non-clean-room conditions. Channel patterns with different user-designed depths ranging from micrometres to millimetres are engraved on a polymethylmethacrylate (PMMA) plate in one step based on a laser ablation approach. A UV-curable polymer, Norland Optical Adhesive (NOA) 81, is then used to replicate the channel patterns from the PMMA female mould and is finally used as the master for single-layer polydimethylsiloxane (PDMS) microfluidic devices. This rapid prototyping method can significantly facilitate the fast evaluation of proof of concept in microfluidic researches and small-scale mass production for commercialization applications.     

Concurrent multi-scale design optimization of composite frames with manufacturing constraints

This paper presents a gradient based concurrent multi-scale design optimization method for composite frames considering specific manufacturing constraints raised from the aerospace industrial requirements. Geometrical parameters of the frame components at the macro-structural scale and the discrete fiber winding angles at the micro-material scale are introduced as the independent design variables at the two geometrical scales. The DMO (Discrete Material Optimization) approach is utilized to couple the two geometrical scales and realize the simultaneous optimization of macroscopic topology and microscopic material selection. Six kinds of manufacturing constraints are explicitly included in the optimization model as series of linear inequalities or equalities. The capabilities of the proposed optimization model are demonstrated with the example of compliance minimization, subject to constraint on the composite volume. The linear constraints and optimization problems are solved by Sequential Linear Programming (SLP) optimization algorithm with move limit strategy. Numerical results show the potential of weight saving and structural robustness design with the proposed concurrent optimization model. The multi-scale optimization model, considering specific manufacturing constraints, provides new choices for the design of the composite frame structure in aerospace and other industries.     

基于自然语言检索的综合相似度计算算法

随着人工智能的发展,自然语言检索已逐步成为信息检索领域中的研究热点,而文本相似度计算算法直接决定着检索效果.在分析已有研究工作的基础之上,分别在统计信息层面和语义信息层面上提出了对应的相似度计算算法,最后提出了一种综合相似度计算算法,并通过相关实验验证了综合相似度计算算法对自然语言智能检索的有效性.     

智慧生态水产养殖系统

针对工厂化海参养殖信息化低的现状,设计并实现了具有养殖环境水质监测、养殖环境水质分析评价、水下视频观测、养殖知识普及等功能的系统.该系统经测试,水质检测准确,水下视频观测实时清晰,可以满足海参养殖的实际需要.系统的推广可以帮助养殖企业进行养殖决策,提高养殖的智能化水平.利用工业化和智能化在水产养殖业领域的纵向扩散和深度融合,来探索现代化养殖模式,提升智能技术在渔业经济发展中的贡献率.     

DES算法在自行车租赁系统中的应用

公共自行车租赁系统已逐步纳入城市公共交通体系,以解决公交出行“最后一公里”问题。本文针对自行车租赁系统中的安全认证问题,提出用软件模块实现DES算法代替传统所使用的PSAM(Purchase Secure Access Module)硬件卡方案,分别在自行车租赁系统内的售卡系统、消费终端和车辆信息几个模块中,实现DES加密。不仅提高现有系统智能卡的扩展性和安全性,而且减少硬件成本,提高了系统的效率。