Knowledge Management in Military Organizations. A Seci Model Perspective

Knowledge management is a multidisciplinary domain that involves people, technology, and processes. From these three components results a series of social, technical, and other implications which influences the way knowledge is created, stored, and transmitted through organizations. One way to express these processes is through the SECI model, based on the two types of knowledge: tacit and explicit. The four dimensions of the SECI model – socialization, externalization, combination, and internalization, have particular features from organization to organization, based on the domain of activity, organizational culture and other cultural influences, type of management, processes and so on. Considering that military organization have an essential role in assuring global security and they heavily rely on knowledge, the study of knowledge management from the SECI model point of view is important as it can offer a better understating on this domain and improve it in the studied field of activity.

The Reaction of the Consumption of Fossil Fuels to Trade Openness in Latin America & the Caribbean Countries

This article investigates the impact of trade openness and renewable energy on the consumption of fossil fuels for a panel of fourteen LAC countries over the period from 1990 to 2014. To this end, a PARDL model in unrestricted error-correction form is estimated, and robustness checks are performed by estimating a PNARDL model. The results of the PARDL model point indicate that the impact of economic growth and elasticity of trade openness are statistically significant at the 1% level and contribute to increased consumption of fossil fuels in the LAC countries. However, the impact and elasticity of consumption of renewable energy are statistically significant at 1% and 5% levels and thus contribute to decreasing consumption of fossil fuels. Nevertheless, the asymmetry of the impact of consumption of renewable energy and its elasticity decrease the consumption of fossil fuels. Therefore, the positive impact of trade openness on the consumption of fossil fuels suggests that the process of globalisation by trade liberalisation in the LAC countries is not sufficient to bring more investment that encourages R&D in energy efficiency technologies, and equipment that reduces the consumption of energy from non-renewable energy sources by households and firms.

Implementasi Model Point-Counter-Point (PCP) pada Hasil Belajar Siswa Materi Getaran dan Gelombang

This research is motivated by the low learning outcomes of 8th grade students of SMP Negeri 5 Madang Suku I. So, the researchers examined the influence of Cooperative Learning Model Point-Counter-Point Type (PCP) on students’ learning outcomes in learning materials Vibration and Waves. With the aim to determine the effect of Point-Counter-Point Cooperative Learning model (PCP) on students’ learning outcomes. The sampling technique in this study was done by random sampling. The experimental class used PCP learning model while the control class used Lecture method. Data collection techniques using written tests and hypothesis testing using the T test. Based on the test results, obtained an average score of the experimental class is 70.22 and the average score of the control class is 63.28, so it can be seen that there is a significant influence on students’ learning outcomes.

Validation of the EROSION-3D Model through Measured Bathymetric Sediments

The testing of a model performance is important and is also a challenging part of scientific work. In this paper, the results of the physically-based EROSION-3D (Jürgen Schmidt, Berlin, Germany) model were compared with trapped sediments in a small reservoir. The model was applied to simulate runoff-erosion processes in the Svacenický Creek catchment in the western part of the Slovak Republic. The model is sufficient to identify the areas vulnerable to erosion and deposition within the catchment. The volume of sediments was measured by a bathymetric field survey during three terrain journeys (in 2015, 2016, and 2017). The results of the model point to an underestimation of the actual processes by 30% to 80%. The initial soil moisture played an important role, and the results also revealed that rainfall events are able to erode and contribute to a significant part of sediments.

Relative pose determination of uncooperative known target based on extracting region of interest

This paper deals with the problem of relative pose determination between a model-known uncooperative space target and a chaser spacecraft using three-dimensional point cloud. A novel, reliable and real-time relative pose determination framework is proposed, which is composed of a region of interest–based initial pose acquisition method and a template matching iterative closest point algorithm for tracking pose. The initial pose is obtained by the principal component analysis method which aligns the region of interest extracted from the scanning point cloud with the region of interest of the known model point cloud, and a three-dimensional convex hull is constructed to extract the region of interest fast. To improve the iterative closest point, the registration between the template point cloud generated by the pose of last frame and the point cloud of the current frame is used to replace the registration between the local scanning point cloud and the global model point cloud. In addition, the performance (stability, low cost and their robustness against noise) of the proposed initial pose acquisition method and the accuracy and reliability of the pose tracking algorithm have been demonstrated by the numerical experiments. Finally, the effectiveness of the proposed method is verified by the field experiment.

Impedance spectroscopic study on hybrid phthalocyanine/lead sulphide nanocomposite film

A unique organic/inorganic nanocomposite of non-aggregated lead sulphide (PbS) quantum dots (QDs) dispersed within a spun film of non-peripherally octakis(hexyl)-substituted metal-free phthalocyanine (C[Formula: see text]H[Formula: see text]Pc) has been prepared at room temperature by a simple and low-cost method. The frequency response of alternating current (AC) conduction in a 130 nm thick C[Formula: see text]H[Formula: see text]Pc /PbS film sandwiched between the indium-tin-oxide (ITO) and aluminum (Al) electrodes is found to obey the universal power-law. The cryogenic study of AC conduction reveals that the correlated barrier hopping (CBH) model closely fits to the experimental data at temperatures below 240 K. The parameters obtained by fitting the CBH model point out that the hopping process cannot take place directly between neighboring PbS QDs but involves the localized states within the matrix.

3-D Point Cloud Registration Using Convolutional Neural Networks

This paper develops a registration architecture for the purpose of estimating relative pose including the rotation and the translation of an object in terms of a model in 3-D space based on 3-D point clouds captured by a 3-D camera. Particularly, this paper addresses the time-consuming problem of 3-D point cloud registration which is essential for the closed-loop industrial automated assembly systems that demand fixed time for accurate pose estimation. Firstly, two different descriptors are developed in order to extract coarse and detailed features of these point cloud data sets for the purpose of creating training data sets according to diversified orientations. Secondly, in order to guarantee fast pose estimation in fixed time, a seemingly novel registration architecture by employing two consecutive convolutional neural network (CNN) models is proposed. After training, the proposed CNN architecture can estimate the rotation between the model point cloud and a data point cloud, followed by the translation estimation based on computing average values. By covering a smaller range of uncertainty of the orientation compared with a full range of uncertainty covered by the first CNN model, the second CNN model can precisely estimate the orientation of the 3-D point cloud. Finally, the performance of the algorithm proposed in this paper has been validated by experiments in comparison with baseline methods. Based on these results, the proposed algorithm significantly reduces the estimation time while maintaining high precision.

Key Resources in Game Developers’ Business Models

This paper presents the results of the research on key resources exploited under business models of video game developers. The main attention is paid to the identification and hierarchizing of key resources, as well as their specific types. It should be noticed that the reported study takes into account diversification of video game developers in terms of monetization models exploited, i.e. premium, freemium, or hybrid, which seems to be novel.In general, the findings locate people together with their tacit, experience-based knowledge at the top of the key resources hierarchy. Nevertheless, the results show that there are differences in perception and exploitation of the key resources among the considered types of game developers. Interestingly, only those with the premium monetization model point at tacit organizational knowledge as a specific type of key resources exploited under their business model. Moreover, the identified relational resources – although not considered in the business model canvas approach – are acknowledged only by developers using the hybrid monetization model. Last but not least, physical resources are seen as non-key ones by all the considered types of game developers.