Paillier Cryptography Based Message Authentication Code for IoMT Security

Health care visualization through Internet of Things (IoT) over wireless sensor network (WSN) becomes a current research attention due to medical sensor evolution of devices. The digital technology-based communication system is widely used in all application. Internet of medical thing (IoMT) assisted healthcare application ensures the continuous health monitoring of a patient and provides the early awareness of the one who is suffered without human participation. These smart medical devices may consume with limited resources and also the data generated by these devices are large in size. These IoMT based applications suffer from the issues such as security, anonymity, privacy, and interoperability. To overcome these issues, data aggregation methods are the solution that can concatenate the data generated by the sensors and forward it into the base station through fog node with efficient encryption and decryption. This article proposed a well-organized data aggregation and secured transmission approach. The data generated by the sensor are collected and compressed. Aggregator nodes (AN) received the compressed data and concatenate it. The concatenated and encrypted data is forward to fog node using the enhanced Paillier cryptography-based encryption with Message Authentication code (MAC). Fog node extracts the forwarded data from AN using Fog message extractor method (FME) with decryption. The proposed system ensures data integrity, security and also protects from security threats. This proposed model is simulated in Network Simulator 2.35 and the evaluated simulation results proves that the aggregation with MAC code will ensures the security, privacy and also reduces the communication cost. Fog node usages in between Aggregator and base station, will reduce the cloud server/base station computational overhead and storage cost. The proposed ideology is compared with existing data aggregation schemes in terms of computational cost, storage cost, communication cost and energy cost. Cost of communication takes 18.7 ms which is much lesser than existing schemes.     

Multi-objective optimization for task offloading based on network calculus in fog environments

With the widespread application of wireless communication technology and continuous improvements to Internet of Things (IoT) technology, fog computing architecture composed of edge, fog, and cloud layers have become a research hotspot. This architecture uses Fog Nodes (FNs) close to users to implement certain cloud functions while compensating for cloud disadvantages. However, because of the limited computing and storage capabilities of a single FN, it is necessary to offload tasks to multiple cooperating FNs for task completion. To effectively and quickly realize task offloading, we use network calculus theory to establish an overall performance model for task offloading in a fog computing environment and propose a Globally Optimal Multi-objective Optimization algorithm for Task Offloading (GOMOTO) based on the performance model. The results show that the proposed model and algorithm can effectively reduce the total delay and total energy consumption of the system and improve the network Quality of Service (QoS).     

A fog-assisted system to defend against Sybils in vehicular crowdsourcing

Technological advancements in vehicular transportation systems have led to the growth of novel paradigms, in which vehicles and infrastructures collaborate to infer high-level knowledge about phenomena of interest. Vehicular Social Network (VSN) is one such paradigm in which vehicular network entities are considered as part of an Online Social Network (OSN), paving the way for new services derived from social context. Although vehicular crowdsourcing has tremendous benefits, its deployment in real systems requires to solve important challenges including defense against Sybil attacks. This paper proposes a novel fog-assisted system that uses SybilDriver to minimize the presence of Sybil entities in VSN-based crowdsourcing applications. The proposed system exploits the characteristics of Vehicular Ad-hoc NETworks (VANETs) and OSNs to effectively recognize Sybils, and the adoption of fog computing helps reduce the overall network overhead by processing data closer to the vehicles. We perform detailed experiments on real-world publicly available datasets primarily to assess the effectiveness of SybilDriver against different Sybil attack strategies. Our experimental results show that SybilDriver detects Sybils with higher performance than state-of-the-art techniques under different settings. Furthermore, an evaluation of the fog architecture in terms of message complexity demonstrates low impact on the network overhead.     

有色轧机用4%Cr工作辊的制造

采用新设计的 4% Cr材料 ,用于制造铝板轧机用粗轧工作辊 ,并采用特殊的热处理工艺保证轧辊具有较深的淬硬层深度 ,以满足使用要求     

風园

以"风"为主题的设计,4个空间的划分分别代表不同的自然现象——风树、云池、波形散步道、雾径。     

数字PID控制在乳粉干燥自动化系统中的开发与应用

随着计算机技术的不断普及，用计算机控制生产过程已越来越引起各行各业的重视。单片机作为最典型的嵌入式系统，已被广泛的应用到各种类型的工业控制中。将单片计算机控制技术应用于生产线上，实现生产过程的自动控制，同时通过对工业现场的生产情况进行监控，达到加强管理、提高产品质量、提高生产效率、降低劳动强度的目的，是当前企业生产控制管理的发展趋势。在乳粉生产过程中乳粉干燥是乳粉生产中一个重要工序，它直接关系着乳粉的成品质量。利用单片机根据排风温度调节变频器的频率控制进奶量，从而来控制乳粉的干燥过程，其控制要比常规的人工控制方便、准确，而且对于提高乳粉的干燥质量、提高劳动生产率具有实际意义。     

Design and animation of volume density functions

This paper describes the design and animation of volume density functions for creating images containing gases, solid textures and hypertextures. The development of functions for producing images and animations of gases is explained in detail. Procedures for modelling the geometry of various gases are described. Next, animation techniques for volume density functions are described and examples of the animation of these functions are presented, including steam rising from a teacup, wind effects, marble forming, and gas and liquid flow into an opening in a wall. Solid spaces are introduced as a unifying approach to describing and animating object attributes.     

湿式振动纤维栅除尘净化装置工业试验研究

根据雾滴捕尘原理和紊流脉动理论,对湿式振动纤维栅除尘净化装置的效果进行了工业试验。试验结果表明,与一般除尘净化装置相比较,该装置具有阻力小,耗水量少,过滤风速高,处理风量大,除尘净化效果好等优点。该项研究为防止矿山井下主溜井、破碎硐室等以及地表产尘量较大的固定尘源污染问题提供了新途径。     

Two 2D postprocessing tools and their applications to the improvement of 3D pictures

When displaying abstract objects, as in the case of scientific visualization, it is manadatory to give the user a maximum of cues to help him understand the displayed structures. In this short note, we describe two general, simple 2D postprocessing tools and their applications for the improvement of 3D perception by means of simulation of realistic 3D effects.     

激光通信中雨滴、烟雾信道相干带宽特性研究

本文选用合理的模型模拟了大气信道中雨滴、烟雾带来的相干带宽,并进行了数值计算。结果表明:对于雨滴、轻雾信道,相干带宽很宽;而对于烟雾浓度较大的信道,信道的相干带宽应引起激光大气通信的重视。