Pengaruh Motivasi Dan Disiplin Kerja Terhadap Produktivitas Kerja Karyawan PT. Chang Shin Indonesia

The purpose of this research is to examine how the influence of discipline and work motivation on work productivity. This study uses a quantitative methodology which includes descriptive and verification analysis. The analytical method used is multiple regression. The population of this research is the employees of Pt. Chang Shin Indonesia from lean production with a workforce of 450 people. By collecting 60 respondents, the sample for this study was randomly selected. data collected through a questionnaire. To draw conclusions and test the hypothesis used descriptive analysis, verification and multiple regression. The t, R and F tests were used. The results of this study found that (1) the labor productivity of PT. Chang Shin Indonesia is partly influenced by work motivation. (2) Labor productivity of employees of PT. Chang Shin Indonesia is partly influenced by labor discipline. (3) Discipline and work motivation affect the work productivity of employees of PT. Chang-Shin Indonesia at the same time. Keyword : Work Motivation, Work Discipline, Work Produktivit

Cryptanalysis of Yang-Wang-Chang's Password Authentication Scheme with Smart Cards

In 2005, Yang, Wang, and Chang proposed an improved timestamp-based password authentication scheme in an attempt to overcome the flaws of Yang-Shieh_s legendary timestamp-based remote authentication scheme using smart cards. After analyzing the improved scheme proposed by Yang-Wang-Chang, we have found that their scheme is still insecure and vulnerable to four types of forgery attacks. Hence, in this paper, we prove that, their claim that their scheme is intractable is incorrect. Also, we show that even an attack based on Sun et al._s attack could be launched against their scheme which they claimed to resolve with their proposal.Comment: 3 Page

Development of a Two-Dimensional Finite-Element PBL Model and Two Preliminary Model Applications

This article is published as Chang, L. P., E. S. Takle, and R. L. Sani. "Development of a two-dimensional finite-element PBL model and two preliminary model applications." Monthly Weather Review 110, no. 12 (1982): 2025-2037. DOI:2.0.CO;2" target="_blank">10.1175/1520-0493(1982)1102.0.CO;2. Posted with permission.</p

Molecular Dynamics Investigation of the Structural and Mechanical Properties of Off-Stoichiometric Epoxy Resins

We carried out molecular dynamics (MD) simulations to measure the mechanical properties of various off-stoichiometric polymers regarding amine to epoxy ratios (r) and to understand the stiffness of the polymers in terms of their structures. The aerospace-grade API-60 epoxy resin is used as an adhesive bond for assembling large-scale composite structures via the co-curing-ply bonding method. This method will produce a reliable and certifiable composite joint without additional fasteners. Calculated Young's modulus was measured from the uniaxial tension simulation with several high strain rates, and the experimental modulus was estimated by extrapolating the simulation results. We found that the stiffness was associated with molecular packing caused by chemical cross-linking. We also found that the number of network clusters gradually decreased as the ratio approached r = 1.0, which made the tighter cluster and the system much stiffer with an increase in the molecular weight and the degree of cross-linking. Structural properties such as Rg, MSD were measured to figure out the degree of stiffness with respect to the r

MAT: A Multimodal Attentive Translator for Image Captioning

In this work we formulate the problem of image captioning as a multimodal translation task. Analogous to machine translation, we present a sequence-to-sequence recurrent neural networks (RNN) model for image caption generation. Different from most existing work where the whole image is represented by convolutional neural network (CNN) feature, we propose to represent the input image as a sequence of detected objects which feeds as the source sequence of the RNN model. In this way, the sequential representation of an image can be naturally translated to a sequence of words, as the target sequence of the RNN model. To represent the image in a sequential way, we extract the objects features in the image and arrange them in a order using convolutional neural networks. To further leverage the visual information from the encoded objects, a sequential attention layer is introduced to selectively attend to the objects that are related to generate corresponding words in the sentences. Extensive experiments are conducted to validate the proposed approach on popular benchmark dataset, i.e., MS COCO, and the proposed model surpasses the state-of-the-art methods in all metrics following the dataset splits of previous work. The proposed approach is also evaluated by the evaluation server of MS COCO captioning challenge, and achieves very competitive results, e.g., a CIDEr of 1.029 (c5) and 1.064 (c40)

An overview of forest management and change with respect to environmental protection in the UK

International audienceThis paper overviews changes in forest management in the UK with respect to environmental protection. The evolution of policy is explained from historical and sustainability perspectives and covers developments in forest planning, accreditation, devolution and future challenges and opportunities. Keywords: forest management, best practice, sustainable forestry, environmental protection, land use chang

Sung Chang, piano

Frederic ChopinFranz Lisz