Research on data load balancing technology of massive storage systems for wearable devices

Because of the limited memory of the increasing amount of information in current wearable devices, the processing capacity of the servers in the storage system can not keep up with the speed of information growth, resulting in low load balancing, long load balancing time and data processing delay. Therefore, a data load balancing technology is applied to the massive storage systems of wearable devices in this paper. We first analyze the object-oriented load balancing method, and formally describe the dynamic load balancing issues, taking the load balancing as a mapping problem. Then, the task of assigning each data node and the request of the corresponding data node’s actual processing capacity are completed. Different data is allocated to the corresponding data storage node to complete the calculation of the comprehensive weight of the data storage node. According to the load information of each data storage node collected by the scheduler in the storage system, the load weight of the current data storage node is calculated and distributed. The data load balancing of the massive storage system for wearable devices is realized. The experimental results show that the average time of load balancing using this method is 1.75 ?h, which is much lower than the traditional methods. The results show the data load balancing technology of the massive storage system of wearable devices has the advantages of short data load balancing time, high load balancing, strong data processing capability, short processing time and obvious application.     

Determination of hand-transmitted vibration risk on the human

ObjectiveThe purpose of this paper is to examine the effectiveness of the proposed consideration for hand-transmitted vibration measurement on the human.MethodTo obtain the temporary threshold shift (TTS) in the fingertip vibrotactile perception threshold, the vibrotactile perception thresholds were measured before and after the subjects were exposed to hand-transmitted vibration from the hand-held tool. The vibration magnitude has been measured by using conventional vibration measurement on the tool and by using the proposed consideration vibration on the human simultaneously.ResultsThe proposed hand-transmitted vibration measurement on the subject was proportional with increasing TTS. In contrast the data from conventional vibration measurement on the tool shows a relatively constant vibration level while TTS increases within a subject group.ConclusionThe proposed measurement method of hand-transmitted vibration on the subject captures at least some of the effects of factors relating to the human interaction with the tool identified within Annex D of the ISO 5349-1 standard. The effectiveness of the proposed hand-transmitted vibration measurement consideration on the human for improved understanding of tool vibration exposure has been shown.     

A hypermedia authoring tool for augmented and virtual reality

Most existing hypermedia authoring systems are intended for use on desktop computers. These systems are typically designed for the creation of 2D documents and therefore employ 2D authoring mechanisms. In contrast, authoring systems for nontraditional multimedia/hypermedia experiences for 3D virtual or augmented worlds focus mainly on creating separate media objects and embedding them within the user's surroundings. As a result, linking these media objects to create 3D hypermedia is a tedious manual task. To address this issue, we present an authoring tool for creating and editing linked 3D hypermedia narratives that are interwoven with a wearable computer user's surrounding environment. Our system is designed for use by authors who are not programmers, and allows them to preview their results on a desktop workstation, as well as with an augmented or virtual reality system.     

b-COELM: A fast,lightweight and accurate activity recognition model for mini-wearable devices

Various mini-wearable devices have emerged in the past few years to recognize activities of daily living for users. Wearable devices are normally designed to be miniature and portable. Models running on the devices inevitably face following challenges: low-computational-complexity, lightweight and high-accuracy. In order to meet these requirements, a novel powerful activity recognition model named b-COELM is proposed in this paper. b-COELM retains the superiorities (low-computational-complexity, lightweight) of Proximal Support Vector Machine, and extends the powerful generalization ability of Extreme Learning Machine in multi-class classification problems. Experimental results show the efficiency and effectiveness of b-COELM for recognizing activities of daily living.     

C、Cr、Si、Mn对低铬白口铸铁组织和力学性能的影响

应用湿砂铸型浇注低铬白口铸铁，采用正交试验研究了C、Cr、Si、Mn对低铬白口铸铁组织和力学性能的影响。结果表明：含碳量2．4％和2．7％时碳化物基本上是呈网状分布的，形成了离异共晶的网状碳化物组织；而含碳量3．0％时，离异共晶组织不再出现。高碳、低硅、高铬和低锰有利于提高硬度；低碳、低硅、中铬和高锰有利于提高冲击韧度；高碳、低硅、低铬和高锰有利提高耐磨性。新开发的低铬白、口铸铁的硬度、冲击韧度和耐磨性远高于目前在生产排沙潜水泵过流部件中所使用材料的各项性能，使用寿命是其5倍左右。     

Wearable device for real-time monitoring of human falls

This paper presents a wearable micro-sensing device for monitoring human body falls. It combines micro-sensors and digital data processing technologies, such that in real-time, it can monitor the user to get immediate help by sending an emergency message to an aid station at the moment of falling. The primary feature of this system is the micro sensor, with a horizontal sensor embedded inside a smart coat. Two kinds of micro-sensors are used for the system, one is a micro-mercury switch, and the other is an optical sensor to detect if the wearer is horizontal. With the new algorithms for movement behaviors judgment, the system has the ability to collect, analyze, and transmit data by monitoring the user’s body. In outdoor sports, the system sends information on body position and location, and an emergency message from the user to a specific guard in real-time.     

应用耐磨软带修复机床导轨

介绍应用耐磨软带维修机床导轨的经验。与传统的修复工艺相比，耐磨软带在确保机床修复精度，降低驱动功率损耗、避免导轨擦伤方面，具有良好的性能。     

Wearable fitness technology: A structural investigation into acceptance and perceived fitness outcomes

Wearable fitness technologies (WFT) track physical activity, such as steps taken, calories burned and workout intensity, through a device that is typically worn at all times. While the market for WFT devices continues to grow, current theoretical understanding of adoption is lacking. Thus, in an attempt to extend the Technology Acceptance Model (TAM), the current study employs a structural equation model to increase current understanding of wearable technology use. Further, to better understand the outcome of WFT use, the current study examines the relationship among health related outcomes of WFT use such as overall exercise behavior and perceptions of health. Results support the TAM and WFT use was significantly related to perceived health outcomes.     

支持云服务高性价比可穿戴设备的设计研究

为了有效地提高可穿戴设备使用者的可操作性和扩展性，研究设计一种多传感器、支持云端服务、低成本的可穿戴系统设备。该设备包括微控制器Arduino Uno和5个传感器，传感器分别为心率传感器、呼吸传感器、应激焦虑传感器、体温传感器和血糖传感器。传感器通过MQTT协议，将监控到的身体属性数据实时发送到应用程序，并存储于云端以用于后续处理。所提系统设计最大特点是有效结合云计算和可穿戴技术，实现了对患者健康状况的监控和管理，操作简单便捷，可操作性强。同时系统中的软件和硬件切实可行，具有成本低和可大面积普及的可能性。