Mapping and mining interictal pathological gamma (30-100 Hz) oscillations with clinical intracranial EEG in patients with epilepsy

Localizing an epileptic network is essential for guiding neurosurgery and antiepileptic medical devices as well as elucidating mechanisms that may explain seizure-generation and epilepsy. There is increasing evidence that pathological oscillations may be specific to diseased networks in patients with epilepsy and that these oscillations may be a key biomarker for generating and indentifying epileptic networks. We present a semi-automated method that detects, maps, and mines pathological gamma (30-100 Hz) oscillations (PGOs) in human epileptic brain to possibly localize epileptic networks. We apply the method to standard clinical iEEG (<100 Hz) with interictal PGOs and seizures from six patients with medically refractory epilepsy. We demonstrate that electrodes with consistent PGO discharges do not always coincide with clinically determined seizure onset zone (SOZ) electrodes but at times PGO-dense electrodes include secondary seizure-areas (SS) or even areas without seizures (NS). In 4/5 patients with epilepsy surgery, we observe poor (Engel Class 4) postsurgical outcomes and identify more PGO-activity in SS or NS than in SOZ. Additional studies are needed to further clarify the role of PGOs in epileptic brain.     

From Flood Land to New Urban Area: Water Adaptation History and Visions for Daodi Flood Land in the West of Beijing

Daodi Flood Land, located in Mentougou District of Beijing, is a relatively separate flood land in the lower reaches and on the east of Yonding River. This largest landscape character area in the west of Beijing along the river illustrates the history of human–water interaction and discloses the trends and problems of rural urbanization. Focusing on Daodi Flood Land, this paper expands the research on adaptation by introducing basic concepts and research framework, and reviews the research trends from spatial, temporal, and participant aspects. Considering the typical characters of the study area, this research employed participatory approaches, such as mapping and problem and solution trees, due to the lack of continuous and accurate data. Basing on literature review and field investigation on issues of floods, agricultural irrigation, and water resource utilization, water adaptive development visions for the study area were proposed from perspectives of landscape and culture. Finally, the paper further analyzes the structural relations between adaptation problems, natural and social systems, passive and active adaptations, and planned and unplanned adaptations, with the aim to provide reference for relevant studies and applications of adaptation approaches in other cases.     

In search of computer-aided social support in non-communicable diseases care

Non-communicable diseases burden is well-known and care for these diseases goes beyond patients’ engagement, extending to their family, friends, and acquaintances. The ability of social relations in alleviating the harmful effects of health risks is known as social support. Computing can be used to promote social support to enhance the care of non-communicable diseases. However, it is unclear how computing obtains such enhancement. This paper presents a systematic review, in the form of a mapping study, aiming to answer how computing enhances non-communicable diseases care by using social data and by promoting social support. It also looks for available computing models focused on social support promotion in non-communicable diseases care. The study was guided by a two-phase process review, resulting in 38 reviewed papers from journals, conferences, and chapters in the period from 2010 to 2016. In general, the reviewed papers focus on controlled trials, frameworks and systems, knowledge discovery, simulation models or social media usage analysis. Knowledge discovery was the predominant subject, followed by social media usage analysis, and frameworks and systems.     

Three dimensional modeling and finite element simulation of a generic end mill

The geometry of cutting flutes and the surfaces of end mills is one of the crucial parameters affecting the quality of the machining in the case of end milling. These are usually represented by two-dimensional models. This paper describes in detail the methodology to model the geometry of a flat end mill in terms of three-dimensional parameters. The geometric definition of the end mill is developed in terms of surface patches; flutes as helicoidal surfaces, the shank as a surface of revolution and the blending surfaces as bicubic Bezier and biparametric sweep surfaces. The proposed model defines the end mill in terms of three-dimensional rotational angles rather than the conventional two dimensional angles. To validate the methodology, the flat end milling cutter is directly rendered in OpenGL environment in terms of three-dimensional parameters. Further, an interface is developed that directly pulls the proposed three-dimensional model defined with the help of parametric equations into a commercial CAD modeling environment. This facilitates a wide range of downstream technological applications. The modeled tool is used for finite element simulations to study the cutting flutes under static and transient dynamic load conditions. The results of stress distribution (von mises stress), translational displacement and deformation are presented for static and transient dynamic analysis for the end mill cutter flute and its body. The method described in this paper offers a simple and intuitive way of generating high-quality end mill models for use in machining process simulations. It can be easily extended to generate other tools without relying on analytical or numerical formulations.     

Nondestructive Electrical Resistivity Method to Map the Drainage System of Football Playgrounds

Geophysical surveys could contribute significantly to remediation programs for damaged buried engineering structures. Resistivity profiling and mapping techniques used in this work allow rapid and one of the most cost-effective ways of characterization and visualization of internal defects of drainage and watering systems of football playgrounds in a nondestructive way. Cost-effective and nondestructive testing can be valuable assets for diagnosis, realization, and restoration of football playgrounds.     

一种射影变换的图形图像纠正原理

由于各种因素的影响,地形图会发生不规则变形,因此,必须对其进行纠正.为此提出了一种射影变换纠正法,叙述了其纠正方法和纠正原理,并总结了其优点.     

深度学习的可解释性研究综述

近年来,深度学习在很多领域得到广泛应用;然而,由于深度神经网络模型的高度非线性操作,导致其可解释性较差,并常常被称为“黑箱”模型,无法应用于一些对性能要求较高的关键领域;因此,对深度学习的可解释性开展研究是很有必要的。首先,简单介绍了深度学习;然后,围绕深度学习的可解释性,从隐层可视化、类激活映射（CAM）、敏感性分析、频率原理、鲁棒性扰动测试、信息论、可解释模块和优化方法这8个方面对现有研究工作进行分析;同时,展示了深度学习在网络安全、推荐系统、医疗和社交网络领域的应用;最后,讨论了深度学习可解释性研究存在的问题及未来的发展方向。     

基于CNN的键盘电磁信息泄漏识别检测方法

针对键盘电磁信息安全问题,分析了PS/2键盘的工作原理以及信号特征,提出一种基于深度学习的检测方法。该方法针对键盘设备的电磁泄漏信号特征,对卷积神经网络(CNN)结构进行了适应性调整;结合改进的梯度加权类激活映射方法,实现了对键盘电磁信息的智能识别和精准定位。对4个按键的电磁信号进行测试,分类准确率达到了98%;在噪声环境下的分类准确率也达到了81%。将梯度加权类激活映射方法及其改进方法对键盘电磁信息的定位效果进行了对比,实验结果证明改进后的方法定位效果更佳。     

LIDAR技术在江苏沿海滩涂测绘中的应用研究

利用LIDAR技术进行江苏沿海滩涂地区测绘是国内首次利用LIDAR进行沿海滩涂、海岛礁高精度、高分辨率测绘,该项目综合运用精确大地水准面成果、连续运行参考站卫星定位综合服务系统以及数字计算机处理技术制作DEM、DOM、DLG等产品.在分析江苏沿海滩涂特点的基础上,介绍了该项目的实施过程、特点及关键技术.     

基于EJB3.0的煤矿分布式空间数据同步系统设计与实现

 本文基于EJB3.0技术设计实现了煤矿分布式空间数据库同步系统,并结合LRGIS 3.0以地测部门的采掘工程平面图为例加以阐述,保障了煤矿空间数据的一致性、时效性,结合LRGIS 3.0实现了矿山信息化管理。