音乐物联网的设计与研究

音乐物联网(Internet of musical things,IoMusT)是一个涉及多学科、多专业的综合工程,以往的研究都是单一的从某一个方面着手,缺乏一个统一的研究框架,完整的研究体系还不健全。研究重点是从工程的角度定义音乐事件,并结合当下互联网各个环节的技术特性,从工程的角度定义音乐事件,构造一个小范围的IoMusT生态系统,从软硬件方面测试IoMusT性能,进而验证IoMusT设计架构效。     

“互联网+”与传统家电产品的创新之路

目的以"互联网+"理念的出现为启示,论述了"互联网+"理念的特点及其对传统家电行业的影响。方法分析了"互联网+"对传统家电产品设计的启发和创新,进而阐明了"互联网+"理念在家电产品设计中的创新运用,为其开辟了一条新的道路。比如"互联网+"对传统家电产品的影响,以及"互联网+"怎样与传统家电产品相结合。结论在此基础上,提出了家电产品设计必须善于利用互联网这个工具,用互联网给设计带来更多的创新点,才能给家电产品行业带来更广阔的市场。     

《盲杖第1部分:安全色标志》国家标准色度性能和光度性能指标的确定

以标准GB 16930.1-1997《盲人手杖安全色标志》为基础,参考GB 2893-2008《安全色》、GB/T 18833-2012《道路交通反光膜》等标准,选择国内外不同企业生产的30种反光膜样品,针对其色度性能和光度性能进行试验验证,包括色度坐标范围、亮度因数和最小逆反射系数.综合考虑盲杖使用者的实际出行特点、产品特性、国内行业现状、使用安全性,确定盲杖安全色标志逆反射材料色度性能和光度性能的技术指标.为修订强制性国家标准GB 16930.1《盲杖第1部分:安全色标志》提供数据支持.     

互联网与智能化时代的产品设计思维和方法研究

目的探寻与构建互联网与智能化时代的产品设计思维与方法。方法以新设计语境条件下产品自身概念的重新定义为切入点,通过论述互联网与泛载智能时代产品开发设计所需的设计、大数据、社群、场景、四大思维及其融合关系,来探讨区别于传统语境下产品开发设计的新流程与方法。结论在产品软硬件高度融合,泛载智能成为主流的情况下,以社群构建为核心的用户全流程参与式设计,以场景思维置入的方式来评估产品的商业应用潜能,以快速测试、反馈迭代来减少试错周期与成本,逐渐成为互联网与智能化时代下新产品开发设计的核心。     

基于消费者触觉体验与记忆的地方特色餐具设计研究

目的从消费者触觉体验与记忆视角出发,探究地方特色餐具设计,以此提升地方特色餐具的营销力和品牌竞争力。方法以人脑的触觉识别为研究起点,以记忆的形成过程为研究思路,采取递进的研究方法,构思地方特色餐具设计,以此增强消费者的触觉记忆。结论触觉是一种感官营销战略,消费者对地方特色餐具的触觉体验与记忆,关系到他们对地方特色餐饮的品牌认知和态度,最终将影响地方特色餐饮的发展和品牌传播。     

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.     

Container-Based Internet of Vehicles Edge Application Migration Mechanism

Internet of Vehicles (IoV) applications integrating with edge computing will significantly drive the growth of IoV. However, the contradiction between the high-speed mobility of vehicles, the delay sensitivity of corresponding IoV applications and the limited coverage and resource capacity of distributed edge servers will pose challenges to the service continuity and stability of IoV applications. IoV application migration is a promising solution that can be supported by application containerization, a technology forseamless cross-edge-server application migration without user perception. Therefore, this paper proposes the container-based IoV edge application migration mechanism, consisting of three parts. The first is the migration trigger determination algorithm for cross-border migration and service degradation migration, respectively, based on trajectory prediction and traffic awareness to improve the determination accuracy. The second is the migration target decision calculation model for minimizing the average migration time and maximizing the average service time to reduce migration times and improve the stability and adaptability of migration decisions. The third is the migration decision algorithm based on the improved artificial bee colony algorithm to avoid local optimal migration decisions. Simulation results show that the proposed migration mechanism can reduce migration times, reduce average migration time, improve average service time and enhance the stability and adaptability of IoV application services.     

物联网安全接入网关的设计与实现

文章通过分析物联网发展过程中存在的安全问题,提出了如何通过物联网安全接入网关,构建接入安全、管理可控的物联网系统架构,最后详细设计了物联网安全接入网关的功能组成和安全技术要求。     

从“7.18“网络攻击案分析网络黑客犯罪

近年来,互联网应用飞速发展,国内网民规模日益扩大。与此同时,网络黑客的攻击破坏活动已成为影响互联网安全的主要问题之一。本文结合上海警方侦破“7·18”私车额度拍卖系统网络攻击案的现实案例,分析了当前网络黑客案件平民化、趋利化、组织化的规律特点,以及公安机关在案件侦办过程中常见的一些难点问题,并从加强日常管理和完善刑事立法两个层面提出了针对性的对策和建议。