Volume 3 Issue 5
Authors: Wei Tan
Abstract: The performance evaluation is an important human resource management means in many enterprises, and it is the basis for adjusting salary, bonuses, position down and up and training planning. Because of advanced concepts and good use effect, the two methods of 360° performance evaluation and key performance indicators (KPI) are more and more used in Chinese and western organizations. Based on the analysis of 360°+KPI performance evaluation model, this paper takes the performance evaluation of middle-level cadres in Chinese enterprise as an example, and explains how to use 360°+KPI performance evaluation model for evaluation. At last, for the Chinese and western different culture background, it explores the application of 360°+KPI evaluation model, and gets the conclusion that the enterprise should be suitable for the enterprise culture, and in the long evaluation process, the enterprise should gradually optimize the conservative, closed traditional enterprise culture.
Keywords: The Performance Evaluation; 360°+KPI; The Chinese And Western Culture
Authors: Bartosz Polaczyk; Piotr Cholda
Abstract: The paper extends the well-known fluid model derived by Kumar et al. for Peer-to-Peer (P2P) streaming systems mainly by taking into account such practical aspects like: hetero-geneity of resources, limitation of server capacity, hierarchical structure of an underlying network and mesh topology of an overlay. The mathematical analysis on the maximum streaming rate that can be achieved is presented. The algorithmic steps to achieve a universal streaming under various system parameters are proposed. In addition, a proof that the universal video distribution streaming rate, which is achievable under such circumstances, is given. Specifically, by using the fluid model, it is shown how the server allocates its bandwidth to each peer in the system, and how each peer divides its limited upload bandwidth to its local neighbors and global peers.
Keywords: Fluid Theory; Peer-to-Peer (P2P); Performane Evaluation; Overlays; Reliability
Authors: Chaoyi Pang; Xue Li; Vinita Nahar
Abstract: The rapid growth of social networking is supplementing the progression of cyberbullying activities. Most of the individuals involved in these activities belong to the younger generations, especially teenagers,who in the worst scenario are at more risk of suicidal attempts. We propose an effective approach to detect cyberbullying messages from social media through a weighting scheme of feature selection.We present a graph model to extract the cyberbullying network, which is used to identify the most active cyberbullying predators and victims through ranking algorithms. The experiments show effectiveness of our approach.
Keywords: Social Networks; Cyberbullying; Text-Mining; Link Analysis
Authors: Yun-Yao Chen; Shang-Liang Chen; Yau-Hwang Kuo
Abstract: Proactive computing systems can detect users’ decisions before the decisions are made. The challenge is to develop applications that software can operate beyond the interactive domain. This study applies the proactive computing concept to user mouse movement forecast detection for operation systems. Algorithms for saving user preferences into a user preference database and for mouse coordinate forecast notification are developed. Finally, a system prototype was implemented. The experiment results indicate that the proposed algorithms can forecast the movement of a mouse when the desktop is being browsed.
Keywords: Proactive Computing; Mouse Movement Forecast Application; Context-Aware
Authors: Malcolm Thomas; James Thomas; Catherine Naamani; Michael Vallance
Abstract: The absence of robots to assist with the repair efforts in the immediate aftermath of the Fukushima Daiichi power plant disaster of March 2011 revealed much about Japan’s lack of preparedness for nuclear accidents. The Fukushima Nuclear Accident Independent Investigation Commission highlighted insufficient knowledge and training at the plant, with residents being left confused by the conflicting information regarding the dangers of the effects of the reactor explosions. The research summarized in this paper examines how students in Japan and UK collaborate towards the development of a better understanding of the challenges and possible solutions when dealing with disaster recovery such as Fukushima. The context for collaboration is set within a 3D virtual space and Fukushima simulation where students program LEGO robots to follow distinct circuits. The international collaboration by students as non-experts has highlighted the benefits and challenges posed when engaged in constructing robot- mediated interactions (RMI) within 3D virtual simulations. Students’ immersion (or flow), Circuit Task Complexity and Robot Task Complexity have been collated to create a new metric for tasks involving robots,which we have termed Task Fidelity.
Keywords: LEGO Robots;Virtual Worlds;Collaboration;Information Science; Task Fidelity; Japan; Wales
Authors: Sazali Yaacob; Saidatul Ardeenawatie; Paul Murugesa Pandiyan
Abstract: This paper presented the efficiency of eigenvector features namely modified covariance to extract the mental stress features. In this work, we have investigated the possibility of applying statistical features and principal component analysis (PCA) to obtain the most informative features that can represent the entire dataset. Electroencephalography signals (EEG) were collected from ten subjects (6 males and 4 females) in a controlled environment using Mental Arithmetic Test (MAT) stimuli. In preprocessing stage, acquired EEG signals were filtered into four frequency bands namely; Delta (0.5 - 4 Hz), Theta (4 - 7 Hz), Alpha (7 - 13 Hz) and Beta (13 – 30 Hz) using elliptic bandpass filter. Extracted features were mapped into corresponding stress level classes; Low (Level 1), Medium (Level 2) and High (Level 3) using K-Nearest Neighbours (KNN) classifier. The classification accuracy of 98% confirmed that the proposed Brain Computer Interfaces (BCI) system combining eigenvector features and PCA have potential in classifying the mental stress level.
Keywords: Electroencephalography Signal (EEG); K-Nearest Neighbours (KNN); Mental Stress; Modified Covariance; Principal Component Analysis (PCA)