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In this paper, we introduce an internet voting protocol which satisfies desired security requirements of electronic voting. In the newly proposed protocol, we allow the adversaries to get more power than in any previous works. They can be coercers or vote buyers outside, and corrupted parties inside our system. These adversaries also have ability to collude with each other to ruin the whole system. Our main contribution is to design an internet voting protocol which is unsusceptible to most of sophisticated attacks. We employ the blind signature technique and the dynamic ballots instead of complex cryptographic techniques to preserve privacy in electronic voting. Moreover, we also aim at the practical system by improving the blind signature scheme and removing physical assumptions which have often been used in the previous works. 相似文献
73.
Web 2.0 has brought a huge amount of user-generated, social media data that contains rich information about people’s opinions and ideas towards various products, services, and ongoing social and political events. Nowadays, many companies start to look into and try to leverage this new type of data to understand their customers in order to make better business strategies and services. As a nation with rapid economic growth in recently years, China has become visible and started to play an important role in the global business and economy. Also, with the large number of Chinese Internet users, a considerable amount of options about Chinese business and market have been expressed in social media sites. Thus, it will be of interest to explore and understand those user-generated contents in Chinese. In this study, we develop an integrated framework to analyze user sentiments from Chinese social media sites by leveraging sentiment analysis techniques. Based on the framework, we conduct experiments on two popular Chinese Web forums, both related to business and marketing. By utilizing Elastic Net together with a rich body of feature representations, we achieve the highest F-measures of 84.4 and 86.7 % for the two data sets, respectively. We also demonstrate the interpretability of Elastic Net by discussing the top-ranked features with positive or negative sentiments. 相似文献
74.
为了从经济学角度,量化分析水资源对成都市经济发展的约束效应以及国民经济各部门的用水特性,借用“木桶”原理,运用经济学发展理论和投入产出技术,对成都市水资源的“矮板效应”、“高板效应”和“疏板效应”进行分类计算分析。结果表明:目前水资源还不是约束成都市经济发展的“瓶颈”资源,但在时间和空间上,其约束程度表现出一定的差异性;农业、餐饮业等部门浪费水资源较严重,用水量与城市化水平还未呈现合理的倒“U”形关系;水资源在各部门间配置还欠合理,在建筑业、文化娱乐和房地产业等配置较多,而对交通运输、工业和金融业等配置较少。 相似文献
75.
A robust fault‐tolerant attitude control scheme is proposed for a launch vehicle (LV) in the presence of unknown external disturbances, mismodeling dynamics, actuator faults, and actuator's constraints. The input‐output representation is employed to describe the rotational dynamics of LV rendering three independently decoupled second order single‐input‐single‐output (SISO) systems. In the differential algebraic framework, general proportional integral (GPI) observers are used for the estimations of the states and of the generalized disturbances, which include internal perturbations, external disturbances, and unknown actuator failures. In order to avoid the defects of the conventional sliding surface, a new nonlinear integral sliding manifold is introduced for the robust fault‐tolerant sliding mode controller design. The stability of the GPI observer and that of the closed‐loop system are guaranteed by Lyapunov's indirect and direct methods, respectively. The convincing numerical simulation results demonstrate the proposed control scheme is with high attitude tracking performance in the presence of various disturbances, actuator faults, and actuator constraints. 相似文献
76.
77.
This paper proposes a novel binary particle swarm optimization (PSO) algorithm using artificial immune system (AIS) for face recognition. Inspired by face recognition ability in human visual system (HVS), this algorithm fuses the information of the holistic and partial facial features. The holistic facial features are extracted by using principal component analysis (PCA), while the partial facial features are extracted by non-negative matrix factorization with sparseness constraints (NMFs). Linear discriminant analysis (LDA) is then applied to enhance adaptability to illumination and expression. The proposed algorithm is used to select the fusion rules by minimizing the Bayesian error cost. The fusion rules are finally applied for face recognition. Experimental results using UMIST and ORL face databases show that the proposed fusion algorithm outperforms individual algorithm based on PCA or NMFs. 相似文献
78.
作为目标规划算法平台的一个重要组成部分,研究了多目标线性规划中的目标规划图解法算法程序的开发,以方便该方法在各领域的应用。首先,介绍了目标规划的原理、建立目标规划模型的步骤。然后,介绍目标规划图解法的计算步骤以及在Del-phi环境下开发目标规划图解法的流程和具体方法。最后,通过实例对目标规划图解法算法程序的正确性进行了验证。所开发的算法程序直观简捷,方便工程人员的使用。 相似文献
79.
80.
王晓蓉 《电脑编程技巧与维护》2009,(20):67-68
介绍了当今的软件建模发展现状及UML的建模框架和策略,并针对高校机房计费系统的实例,讲解与RUP相容的建模框架,给出了基于UML的数据库应用系统建模的整体设计流程。 相似文献