Safe on the road – Does Advanced Driver-Assistance Systems Use affect Road Risk Perception?

A major goal of advanced driver-assistance systems (ADAS) deployment is higher road safety. However, these systems are only as safe as users handle them. This article presents a study evaluating the links between the use of ADAS and road risk perception. 101 drivers were invited to evaluate accident probability and risk controllability and to indicate whether they were using ADAS or not. Results show that the use of ADAS decreases perceived accident probability and increases perceived controllability for risky driving situations. Since the degree of automation in ADAS is still low nowadays, it is important to discuss the importance of human factors for the purpose of a safer implementation.     

Brain tumor detection using fusion of hand crafted and deep learning features

The perilous disease in the worldwide now a days is brain tumor. Tumor affects the brain by damaging healthy tissues or intensifying intra cranial pressure. Hence, rapid growth in tumor cells may lead to death. Therefore, early brain tumor diagnosis is a more momentous task that can save patient from adverse effects. In the proposed work, the Grab cut method is applied for accurate segmentation of actual lesion symptoms while Transfer learning model visual geometry group (VGG-19) is fine-tuned to acquire the features which are then concatenated with hand crafted (shape and texture) features through serial based method. These features are optimized through entropy for accurate and fast classification and fused vector is supplied to classifiers. The presented model is tested on top medical image computing and computer-assisted intervention (MICCAI) challenge databases including multimodal brain tumor segmentation (BRATS) 2015, 2016, and 2017 respectively. The testing results with dice similarity coefficient (DSC) achieve 0.99 on BRATS 2015, 1.00 on BRATS 2015 and 0.99 on BRATS 2017 respectively.     

Vers une évolution du rapport au travail et au chômage ? Points de vue de demandeurs d’emploi et discours de salariés

Professional career paths are nowadays marked by multiple transitions. Job loss is one of the most frequent causes of professional transitions. Given this emphasis, recent studies questioned a possible evolution of the “work” norm, the emergence of an “unemployment norm” and its effects on job seekers. This paper proposes to contribute to the discussion on the current evolution of the relation to work and unemployment. At first, the results of a study with 500 unemployed people, who completed a questionnaire on work centrality and on the perception of work, will be presented. Then, a discourse analysis on the meaning and meaningfulness of work of 15 working people will be discussed. The results show the central function of work and the relative normalization of unemployment.     

Segment routing based energy aware routing for software defined data center

Despite the fact that most of the data centers are software-defined, the multifaceted network architecture and increase in network traffic make data centers to suffer from overhead. Multipath TCP supports multiple paths for a single routing session and ensures proper utilization of bandwidth over all available links. As rise in number of nodes in data center is frequent and drastic, scalability issue limits the performance of many existing techniques. Segment Routing is vibrant in reducing scalability disputes and routing overhead. Segment routing approach combined with MPTCP traffic result in efficient routing approach. The downfall of the link capacity due to drastic incoming traffic remains as a major concern in data center network which enforces preventing link energy depletion due to high network traffic. Our proposed work, segment routing based energy aware routing approach for software defined data center aims to achieve throughput maximization through preserving link residual capacity and proper utilization of links. As well, our approach shows a decrease in length of segment label stack with respect to maximum segment label depth. Analysis is done by comparing the executions of other existing approaches in a single-controller environment with our energy-aware routing approach in a distributed environment. Distributed controller setup prevents network from single point of failure. It helps to prevent controller overhead and provides improved network performance through throughput.     

Modeling influence of change readiness on knowledge acquisition process: A case study

Change readiness (CR) has important impact on the success of knowledge acquisition (KA). So it is necessary for managers to know how KA is shaped by CR elements. Review of the extant literature shows a paucity in this regard specially regarding intra-organizational rather than inter-organizational level. Therefore, to bridge this gap, this study aims to present a fuzzy cognitive map (FCM) model in which interactions among CR elements for KA are identified. To do so, first, elements for measuring CR for KA were extracted from the relevant literature. Then, the identified elements were screened through distributing the first designed questionnaire among the select sample of survey organization. Then, the second questionnaire was used to measure the select elements and find the relation between them, using FCM and Mental Modeler Software. To improve CR for KA, some scenarios are suggested by the managers and the impact of each scenario on the whole CR elements is identified using sensitive analysis of the FCM model. After comparing the scenarios, it is concluded improving more elements in one scenario does not necessarily result in better impact on the whole CR for KA. This is due to the interaction among the elements which sometimes could be negative. The proposed model might help managers of the survey organization evaluate their CR improvement plans for KA before taking any actions. In addition, this study can give an idea to other organizations and industries to apply this approach according to their own relevant criteria. This study is among the first in its kind which presents a model using FCM method in which the interactions among the CR elements influencing KA are considered.     

PSO-GA based hybrid with Adam Optimization for ANN training with application in Medical Diagnosis

This paper introduces a novel PSO-GA based hybrid training algorithm with Adam Optimization and contrasts performance with the generic Gradient Descent based Backpropagation algorithm with Adam Optimization for training Artificial Neural Networks. We aim to overcome the shortcomings of the traditional algorithm, such as slower convergence rate and frequent convergence to local minima, by employing the characteristics of evolutionary algorithms. PSO has a property of faster convergence rate, which can be exploited to account for the slower pace of convergence of the traditional BP (which is due to low values of gradients). In contrast, the integration with GA complements the drawback of convergence to local minima as GA, possesses the capability of efficient global search. So by this integration of these algorithms, we propose our new hybrid algorithm for training ANNs. We compare both the algorithms for the application of medical diagnosis. Results display that the proposed hybrid training algorithm, significantly outperforms the traditional training algorithm, by enhancing the accuracies of the ANNs with an increase of 20% in the average testing accuracy and 0.7% increase in the best testing accuracy.     

人声加工的神经机制

人声是人类听觉环境中最熟知和重要的声音, 传递着大量社会相关信息。与视觉人脸加工类似, 大脑对人声也有着特异性加工。研究者使用电生理、脑成像等手段找到了对人声有特异性反应的脑区, 即颞叶人声加工区(TVA), 并发现非人类动物也有类似的特异性加工区域。人声加工主要涉及言语、情绪和身份信息的加工, 分别对应于三条既相互独立又相互作用的神经通路。研究者提出了双通路模型、多阶段模型和整合模型分别对人声的言语、情绪和身份加工进行解释。未来研究需要进一步讨论人声加工的特异性能否由特定声学特征的选择性加工来解释, 并深入探究特殊人群(如自闭症和精神分裂症患者)的人声加工的神经机制。     

多感觉整合中的声音诱发闪光错觉效应

声音诱发闪光错觉效应是典型的视听整合错觉现象, 是指当视觉闪光刺激与间隔100 ms内的听觉声音刺激不等数量呈现时, 被试知觉视觉闪光的数量与听觉声音的数量相等。声音诱发闪光错觉的影响因素既包括自下而上和自上而下的被试内差异因素, 也包括视听刺激依赖程度、视听整合的发展和视听刺激知觉敏感性等被试间差异因素。该效应的产生在时程上主要体现在早期加工阶段, 在脑区上主要涉及多处皮层及皮层下相关脑区。未来研究应进一步考察注意、奖赏和视听整合方式等认知加工对声音诱发闪光错觉的影响, 同时也应该关注声音诱发闪光错觉对记忆和学习的影响以及结合计算模型和神经科学的手段进一步探讨其认知神经机制。     

眼音距：一个揭示朗读过程中词汇加工的核心指标

朗读是一种出声的阅读方式,而测量朗读过程的一个重要的眼动指标就是眼音距。眼音距是指朗读过程中注视点和发音点之间的时间或空间距离,虽然这个概念早在1920年就提出来了,但直到近十年才受到较多关注,而对于其适用范围及心理学意义,认识尚不充分。本文从眼音距的概念提出和发展入手,分别分析了起始眼音距和结尾眼音距的计算方法和心理学意义,以及它们在快速命名和自然文本朗读任务中对阅读能力和认知控制的反映。未来研究可借助眼音距的特点和优势,进一步探讨朗读过程中副中央凹预视加工的特点和认知控制,以及揭示特殊群体在语言加工缺陷上的发生机制。     

The construct of the ‘mana personality’ in Jung’s works: a historic-hermeneutic perspective. Part I

According to Jung, the ‘mana personality’ represents an archetypal phase of the individuation process of remarkable interest in psychological, hermeneutic and theoretical terms. This figure is characterized by a high initiatic potential that fosters the approximation of the consciousness of the Self. At the same time, it entails a risk of psychic inflation or of ‘similarity to God’. In this article, divided in two parts, I deal with those aspects through a reconstruction of the development of this notion within Jung’s published works, adopting a primarily chronological and, secondarily, thematic approach moving from a textual analysis of relevant passages. In this first part, I consider some passages which deal mainly with the risks of the assimilation of the unconscious in ‘La structure de l’inconscient’ (1916) that preceded the successive proper treatment of the mana personality’s notion presented, and here examined, in ‘The relations between the ego and the unconscious’ (1928). Successively, I take into consideration some further issues related to it discussed by Jung in ‘The structure of the psyche’ (1928/1931), ‘Archaic man’ (1931), and ‘Nietzsche’s Zarathustra’.