Understanding value creation in closed loop supply chains – Past findings and future directions

The topic of value creation through the recovery of returned products in closed loop supply chains is scattered across various bodies of literature. We undertake a systematic literature review of 144 articles in relevant green, reverse and closed loop supply chain literature to synchronize existing knowledge on value creation. Value manifestations of four types of value, namely economic, environmental, information and customer value, are identified. Value adding concepts from the forward- and reverse supply chain may leverage the process of value creation. They are classified into six subclasses, namely partnerships and collaboration, product design characteristics, service concepts, IT solutions, supply chain processes and organizational characteristics. We present a conceptual framework on a strategic level. In this way companies can create competitive advantages by closing the loop. The results of the literature analysis suggest avenues for future research on the operational and strategic level.     

推进石化销售企业质量管理创新发展

对照IS0 9001质量管理体系标推的要求，结合石化销售企业质量管理工作中存在的主要问题，提出质量管理工作创新的建议。     

忠诚实践"三个代表"重要思想 推动安全生产工作的全面创新和发展(摘要)

对2003年上半年安全生产工作的进展作了论述，强调了学习实践“三个代表”重要思想，强化对安全生产的使命感、责任感和紧迫感，并要求在“三个代表”重要思想的指导下，推动安全生产的全面创新，提出了加大力度、狠抓落实、确保全年工作目标的完成。     

知识经济时代服装创新教育模式探析

从当今中国服装市场的角度出发 ,根据市场发展的需要 ,提出了更新服装教育思想的理念 ,并探讨了在新形势下服装创新教育的一些方法和思路     

非线性编辑中特效图文素材的应用

Cool 3D是一款特效图文制作软件，适用于动画片段、3D文字、图形等制作场合。Cool 3D中制作的特效素材应用于非线性编辑中，可以丰富素材的表现形式，提高节目编辑制作的整体质量。     

包装装潢中的图形创意

图形创意在商品包装装潢设计中起着重要的作用,图形的传统和现代的构成形式使产品更具风格,独创性是其生命力所在,而联想和想象又是创造力的主要源泉,这种联想和想象力通过自然形、抽象形和寓意图形来体现.所以包装设计需要突破,通过图形创意的不断完善,促销产品,使其为市场接受,被顾客赞誉.     

关于当前网络环境下CG艺术创作的探讨

"设计入侵"是"文化入侵"的重要代表和主要表现形式。文化自信和文化自律是当前中国CG人迫切具备的品质。探索本土CG创作的思路,提升本土cg艺术水平,保证本土CG产业良性发展既具有现实经济意义又具有巨大的文化社会意义。     

基于多任务卷积神经网络的虹膜图像质量评估方法

为了自动、准确、高效地评估采集图像的质量,设计了一个名为MTIQA的卷积神经网络。该网络能够输出与主观评价指标保持较高一致性的客观评估结果。MTIQA采用多任务学习策略,包含网络训练质量评估和失真类型分类两个任务,将两个任务的损失融合并构成新的损失函数。为了评估算法所得到的客观指标的可靠性,建立了名为SIR2019的单眼虹膜质量评估数据集,并召集志愿者进行主观实验以得到主观评价指标。在SIR2019和CASIA-Iris-Distance-Lamp数据集上的实验结果表明,该网络在虹膜图像质量评估上具有较好的可行性、准确性和鲁棒性。     

哲学与创新

历史和逻辑都表明，创造与繁荣是哲学、科学、艺术的某种高峰汇合。哲学兴趣的贫弱，无疑是大学创造力充分展现的基本障碍之一。对创造目的的思考也需要是前提性的，哲学性的。     

Discriminative multi-task objects tracking with active feature selection and drift correction

In this paper, we propose a discriminative multi-task objects tracking method with active feature selection and drift correction. The developed method formulates object tracking in a particle filter framework as multi-Task discriminative tracking. As opposed to generative methods that handle particles separately, the proposed method learns the representation of all the particles jointly and the corresponding coefficients are similar. The tracking algorithm starts from the active feature selection scheme, which adaptively chooses suitable number of discriminative features from the tracked target and background in the dynamic environment. Based on the selected feature space, the discriminative dictionary is constructed and updated dynamically. Only a few of them are used to represent all the particles at each frame. In other words, all the particles share the same dictionary templates and their representations are obtained jointly by discriminative multi-task learning. The particle that has the highest similarity with the dictionary templates is selected as the next tracked target state. This jointly sparsity and discriminative learning can exploit the relationship between particles and improve tracking performance. To alleviate the visual drift problem encountered in object tracking, a two-stage particle filtering algorithm is proposed to complete drift correction and exploit both the ground truth information of the first frame and observations obtained online from the current frame. Experimental evaluations on challenging sequences demonstrate the effectiveness, accuracy and robustness of the proposed tracker in comparison with state-of-the-art algorithms.