Optimized Identification with Severity Factors of Gastric Cancer for Internet of Medical Things

The Internet of Medical Things (IoMT) emerges with the vision of the Wireless Body Sensor Network (WBSN) to improve the health monitoring systems and has an enormous impact on the healthcare system for recognizing the levels of risk/severity factors (premature diagnosis, treatment, and supervision of chronic disease i.e., cancer) via wearable/electronic health sensor i.e., wireless endoscopic capsule. However, AI-assisted endoscopy plays a very significant role in the detection of gastric cancer. Convolutional Neural Network (CNN) has been widely used to diagnose gastric cancer based on various feature extraction models, consequently, limiting the identification and categorization performance in terms of cancerous stages and grades associated with each type of gastric cancer. This paper proposed an optimized AI-based approach to diagnose and assess the risk factor of gastric cancer based on its type, stage, and grade in the endoscopic images for smart healthcare applications. The proposed method is categorized into five phases such as image pre-processing, Four-Dimensional (4D) image conversion, image segmentation, K-Nearest Neighbour (K-NN) classification, and multi-grading and staging of image intensities. Moreover, the performance of the proposed method has experimented on two different datasets consisting of color and black and white endoscopic images. The simulation results verified that the proposed approach is capable of perceiving gastric cancer with 88.09% sensitivity, 95.77% specificity, and 96.55% overall accuracy respectively.     

物联网与感知矿山专题讲座之四——感知矿山物联网与煤炭行业物联网规划建设

指出感知矿山物联网M2M平台应为应用层服务提供开放的接口,适应完善安全避险"六大系统"、领导带班下井、煤矿灾害监测的需求;给出了煤炭行业物联网的四层结构,指出感知矿山物联网建设是整个煤炭行业物联网建设的重点,其它层次以煤矿安全管理和资源管理为主,并分析了矿业集团级、省级、国家级煤炭行业物联网的应用方式;提出了煤炭行业物联网建设需要注意的问题。     

煤矿井下撤人告警系统的设计

结合田庄煤矿井下通信系统的现状,提出了一种煤矿井下撤人告警系统的设计方案,详细介绍了该系统各组成部分的工作原理、功能及实现方式,并以井下出现瓦斯事故为例对该系统的工作流程进行了说明。该系统基于数字广播扩音技术,以工业以太网为传输介质,可根据报警信息向井下各个工作面发出相应的预案告警信息,并可实现实时语音通话,为矿井抢险救援提供了可靠的技术手段。     

基于GA算法的无线躯体传感网络的自适应优化研究

将无线躯体传感网络技术结合到井下异常时的人员搜救系统中,在井下出现异常时,实现人员位置信息与生理状况信息的采集,有助于营救人员制定高效的营救方案,从而显著提高井下人员搜救水平;将遗传算法应用于井下无线传感网络的多目标优化设计,设计了井下网络的组网策略,制定了适当的编码机制,并结合多方面重要参数,建立了适应度函数;通过MATLAB仿真表明了基于遗传算法的网络设计能够很好地优化能量管理,并使网络生命周期达到最长。     

煤矿井下安全避险“六大系统”的作用和配置方案

研究了煤矿安全监控系统在瓦斯、火灾等重特大事故监控与预警和事故调查中的作用,提出了系统的配置方案及基于煤矿安全监控系统的煤矿瓦斯爆炸等事故直接原因的认定方法;研究了煤矿井下人员位置监测系统在遏制超定员生产、事故应急救援等方面的作用,提出了系统设置方法;提出了以矿用调度通信系统和矿井广播通信系统为基础、矿井移动通信系统为补充的矿井通信联络方案,提出了严禁采用矿用IP电话通信系统和矿井移动通信系统替代矿用调度通信系统的观点;提出了高瓦斯矿井的入井人员宜携带隔离式自救器,且隔离式自救器宜选用压缩氧隔离式自救器的方案;提出了避难硐室的装备要求和避难硐室性能价格比优于救生舱的观点;介绍了矿井压风自救系统和供水施救系统。     

消化道生理参数检测胶囊系统的研究进展

胃肠道内的生理参数是评价胃肠道动力性疾病的重要参数.传统的插管方法会给病人带来严重的不适感,且会影响到病人的正常生活.为了克服传统插管方法的缺点,出现了一种新型的监测生理参数的胶囊系统,它可以根据生理参数的差异来诊断胃肠道疾病.针对生理参数检测胶囊系统对国际研究成果和国内研究现状进行了综述.     

Semi-autonomous serially connected multi-crawler robot for search and rescue

In this paper, we develop a semi-autonomous serially connected multi-crawler robot for search and rescue. In large-scale disasters, such as earthquakes and tornadoes, the application of rescue robots to search for survivors under rubble would be beneficial. Snake-like robots (robots composed of serially connected units) are an effective candidate for such robots. Their long body enables them to overcome obstacles, and they can move into narrow spaces because of their thin shape. However, conventional snake-like robots have significant problems with operability. The numerous degrees of freedom of their bodies require complex operation to overcome obstacles, and training is required for the operators. Thus, survivors or community members cannot operate conventional robots to search for victims, despite the availability of such rescue robots. Here, we address this problem and develop a semi-autonomous serially connected multi-crawler robot designed for non-trained operators, such as community members or rescued survivors. It can be controlled easily by a conventional two-channel user interface with levers for turning and straight line motion. To demonstrate the effectiveness of our proposed mechanism, a prototype robot was developed and experiments were conducted. The results confirm that the proposed robot had both higher operability and higher mobility than conventional robots.     

机器人自然语言导航的层叠式条件随机场模型

提出了一种基于层叠条件随机场进行救灾机器人自然语言导航命令理解的方法。该方法由三层条件随机场(CRFs)构成:第一层用于导航词性标注,选取词、词性以及上下文作为特征模板生成导航词性标签;第二层用于导航过程提取,选择词、导航词性标签以及上下文构建特征模板生成导航过程标签;第三层用于起点终点识别,选取词、导航词性标签、导航过程标签以及上下文构建特征模板判断出地名词为起点还是终点。根据导航词性与导航要素的对应关系便可从命令中提取出导航信息。该方法能够处理完全不受限的自然语言导航命令,总体正确率达到78.6%,无需依赖特定的指令与地图,对完成救灾机器人导航的人机交互任务具有重要意义。     

残疾人呼叫系统研究与设计

呼叫系统的主要功能是残疾人的手持呼叫终端通过GPS从卫星获取坐标数据,将位置信息通过移动网络或短信发送至政府调度部门或其监护人手持设备中.其中监护人端设备将直接读取短信坐标并显示位置,同时提醒其进行救助,政府调度部门接收信号将与数据库比对从而对该残疾人提供针对性的帮助.     

Chemical mediation of egg capsule deposition by mud snails

Mud snails (Ilyanassa obsoleta = Nassarius obsoletus = Nassa obsoleta) deposit eggs in protective capsules on hard substrata in soft bottom environments. We studied sites of egg capsule deposition and snail movement responses to odors to determine if chemoreception plays a role in deposition site selection. From results of field surveys, laboratory experiments, and field experiments, we conclude that mud snails use chemoreception for capsule deposition. Attractive odors originate from mud snail and whelk egg capsules and from living bivalves. Evidence for attractive odors from conspecifics is equivocal. Capsules are deposited on living odor sources and nearby hard substrates. We hypothesize that deposition of capsules on living substrates increases the likelihood that embryos will survive by decreasing the chance of smothering of embryos by sediments.