中小企业技术创新现状及对策

中小企业在国民经济和社会发展中发挥着重要的作用,支持中小企业技术创新对提高国家综合竞争力和中小企业自主创新能力具有重要意义。分析研究中小企业技术创新现状,理清发展的思路目标。

陕西洋县钒钛磁铁矿技术创新现状分析

通过对陕西洋县钒钛磁铁矿公司地质科研、采矿技术和选矿方法的现状分析,发现公司在科技创新方面还存在许多需要改进的方面,比如,存在技术人员队伍还参差不齐、数字化信息化建设基础薄弱、以及生产技术装备水平落后等问题。最后,结合实际对改善工作提出六大建议。

我国绿色技术创新研究现状综述

本文采用文献计量、统计处理等方法 ,以期刊论文、学位论文、基金项目等题录信息为基础数据,从时间、期刊、作者分布情况以及研究主题方向等方面,对我国绿色技术创新研究现状进行统计分析,总结绿色技术创新的研究领域及热点等属性的统计分布规律。总结发现,目前我国关于绿色技术的研究缺乏系统性,关于绿色技术研究与实践并没有得到大多数企业的响应。绿色技术创新与企业、社会经济、文化、政策等结合的研究必将成为一个热点。

我国汽车产业技术创新浅析

我国汽车产业技术相对于国外汽车产业发达国家而言存在着较大差距，技术创新是发展汽车产业的核心元素。本文从分析我国汽车产业技术创新现状入手，阐述了我国汽车产业技术创新存在的一些问题，并提出了相应的对策及建议。

辽宁省技术创新体系发展现状与问题的分析

辽宁省构建以企业为主体、市场为导向、产学研相结合的技术创新体系对省内经济建设与发展具有重要的意义。对当前辽宁省技术创新体系的现状进行分析并探讨现存问题。

重庆市中小微企业技术创新情况调研报告

近年来,市委、市政府及时出台了支持、扶助中小微企业健康发展、科技创新和信息化建设等系列政策,不仅进一步优化了我市中小微企业发展环境,而且激发了企业的技术创新活力和发展新动力。为掌握了解中小微企业技术创新现状,在有关部门的支持配合下,我们认真开展了对中小微企业技术创新情况的综合调研。一、中小微企业技术创新呈现良好发展势头(一)中小微企业总数不断增多。

Machine leaming for internet of things data analysis： a survey

Rapid developments in hardware, software, and communication technologies have facilitated the emergence of Internet-connected sensory devices that provide observations and data measurements from the physical world. By 2020, it is estimated that the total number of Internet-connected devices being used will be between 25 and 50 billion. As these numbers grow and technologies become more mature, the volume of data being published will increase. The technology of Internet-connected devices, referred to as Internet of Things （IoT）, continues to extend the current Internet by providing connectivity and interactions between the physical and cyber worlds. In addition to an increased volume, the IoT generates big data characterized by its velocity in terms of time and location dependency, with a variety of multiple modalities and varying data quality. Intelligent processing and analysis of this big data are the key to developing smart IoT applications. This article assesses the various machine learning methods that deal with the challenges presented by IoT data by considering smart cities as the main use case. The key contribution of this study is the presentation of a taxonomy of machine learning algorithms explaining how different techniques are applied to the data in order to extract higher level information. The potential and challenges of machine learning for IoT data analytics will also be discussed. A use case of applying a Support Vector Machine （SVM） to Aarhus smart city traffic data is presented for a more detailed exploration.

3D bioprinting： an emerging technology full of opportunities and challenges

Three-dimensional （3D） printing is a novel promising technology based on 3D imaging and layer-by-layer additive fabrication. It has a profound influence on all aspects of our lives and is playing an increasing important role in many areas including engineering, manufacturing, art, education and medicine. ＂3D bioprinting＂ has been put forward with the technical progress in 3D printing and might be a possible way to solve the serious problem of human organ shortage in tissue engineering and regenerative medicine. Many research groups flung them into this area and have already made some gratifying achievements. However, it is a long way to fabricate a live organ. Many elements lead to the limitation of 3D bioprinting. This review introduces the background and development history of 3D bioprinting, compares different approaches of 3D bioprinting and illustrates the key factors of the printing process. Meanwhile, this review also points out existing challenges of 3D bioprinting and has a great prospect. Some points proposed in this review might be served as reference for the research of this field.

Development and Future Challenges of Bio-Syncretic Robots

Bio-syncretic robots consisting of both living biological materials and non-living systems possess desirable attributes such as high energy efficiency, intrinsic safety, high sensitivity, and self-repairing capabilities. Compared with living biological materials or non-living traditional robots based on elec- tromechanical systems, the combined system of a bio-syncretic robot holds many advantages. Therefore, developing bio-syncretic robots has been a topic of great interest, and significant progress has been achieved in this area over the past decade. This review systematically summarizes the development of bio-syncretic robots. First, potential trends in the development of bio-syncretic robots are discussed. Next, the current performance of bio-syncretic robots, including simple movement and controllability of velocity and direction, is reviewed. The living biological materials and non-living materials that are used in bio-syncretic robots, and the corresponding fabrication methods, are then discussed. In addition, recently developed control methods for bio-syncretic robots, including physical and chemical control methods, are described. Finally, challenges in the development of bio-syncretic robots are discussed from multiple viewpoints, including sensing and intelligence, living and non-living materials, control approaches, and information technology.

Advances in Hard Tissue Engineering Materials——Nanocellulose-based Composites

Nanocellulose(NC) has attracted much interest in the tissue engineering(TE) field because of its properties including biocompatibility,renewability, non-toxicity, functionality, and excellent mechanical performance. This review mainly focused on the advanced applications of NC-based composites in hard TE including cartilage TE, bone TE, and dental TE, illustrated the processing methods for synthesizing scaffolds including electrospinning, freeze-drying, and 3 D printing, reviewed the current status of hard TE, and presented perspective on the future of TE technology.

Some Remarks about the Deployment of Floating PV Systems in Brazil

Floating photovoltaic systems installed in water bodies such as natural lakes or dams reservoirs, have attracted increased worldwide attention since 2011 and have already been deployed in several countries, including Japan, South Korea and USA. In Brazil, pilot-projects were announced in the reservoirs of hydroelectric power plants of Balbina （State of Amazonas） and Sobradinho （State of Bahia）. Several advantages, not necessarily valid in Brazil, are mentioned for deploying this kind of technology, such as an increase in energy generation, reduction of water losses through evaporation, low environmental impact, no occupation of land etc. In this article, several of these allegations are analyzed preliminarily under the Brazilian point of view, and relevant considerations are presented. It is concluded that the technical and economic advantages of floating photovoltaic systems are not yet clear in Brazil and that pilot projects, such as those under way, should be used to clarify several important aspects related to them.

Power consumption model of sector breathing based congestion control in mobile network

According to Cooper＇s law, the number of conversations per location doubles every two and a half years. Therefore, congestion control has become a promising research area. Nowadays small cell deployment has become a solution to deal with congestion. If large numbers of small cells are allocated for congestion control, then two critical issues will arise： densification and interference management. In such a scenario sector breathing can offer low power congestion control by avoiding densification problem. This paper proposes a power consumption model for sector breathing based congestion control in a mobile network. With sector breathing, a congested cell is sectored at an angle of 60° or 120°. The congested sectors are then identified. The lightly loaded neighbour cells of the congested sector are sectored at 60°. The sectors of the lightly loaded cell capture the border region customers of the adjacent congested sector by increasing the coverage area. When the transmitter antenna of the adjacent lightly loaded sector expands coverage to provide service to the subscribers residing at the border region of the congested sector, the transmitter antenna of the congested sector reduces its coverage area. The simulation results indicate that sector breathing reduces the power transmission of the BS antennas by approximately 6-75% and 62-75% compared cell breathing and dense femtocell allocation based congestion controls respectively. Simulation results also show that sector breathing reduces the power consumption of the BS antennas by approximately 6-64% and 8240% compared with the cell breathing and dense femtocell allocation based congestion controls, respectively. Hence sector breathing is a green congestion control approach.

Frame interpolation with pixel-level motion vector field and mesh based hole filling

Most of the traditional methods are based on block motion compensation tending to involve heavy blocking artifacts in the interpolated frames. In this paper, a new frame interpolation method with pixel-level motion vector field （MVF） is proposed. Our method consists of the following four steps： （i） applying the pixel-level motion vectors （MVs） estimated by optical flow algorithm to eliminate blocking artifacts （ii） motion post-processing and super-sampling anti-aliasing to solve the problems caused by pixel-level MVs （iii） robust warping method to address collisions and holes caused by occlusions （iv） a new holes filling method using triangular mesh （HFTM） to reduce the artifacts caused by holes. Experimental results show that the proposed method can effectively alleviate the holes and blocking artifacts in interpolated frames, and outperforms existing methods both in terms of objective and subjective performances, especially for sequences with complex motions.

Advances in nonequilibrium molecular dynamics simulations of lubricants and additives

Nonequilibrium molecular dynamics(NEMD) simulations have provided unique insights into the nanoscale behaviour of lubricants under shear. This review discusses the early history of NEMD and its progression from a tool to corroborate theories of the liquid state, to an instrument that can directly evaluate important fluid properties, towards a potential design tool in tribology. The key methodological advances which have allowed this evolution are also highlighted. This is followed by a summary of bulk and confined NEMD simulations of liquid lubricants and lubricant additives, as they have progressed from simple atomic fluids to ever more complex, realistic molecules. The future outlook of NEMD in tribology, including the inclusion of chemical reactivity for additives, and coupling to continuum methods for large systems, is also briefly discussed.

Generation of strong magnetic fields with a laser-driven coil

As a promising new way to generate a controllable strong magnetic field, laser-driven magnetic coils have attracted interest in many research fields. In 2013, a kilotesla level magnetic field was achieved at the Gekko XII laser facility with a capacitor-coil target. A similar approach has been adopted in a number of laboratories, with a variety of targets of different shapes. The peak strength of the magnetic field varies from a few tesla to kilotesla, with different spatio- temporal ranges. The differences are determined by the target geometry and the parameters of the incident laser. Here we present a review of the results of recent experimental studies of laser-driven magnetic field generation, as well as a discussion of the diagnostic techniques required for such rapidly changing magnetic fields. As an extension of the magnetic field generation, some applications are discussed.

Instantaneous foveated preview for progressive Monte Carlo rendering

Progressive rendering, for example Monte Carlo rendering of 360° content for virtual reality headsets, is a time-consuming task. If the 3D artist notices an error while previewing the rendering, they must return to editing mode, make the required changes, and restart rendering. We propose the use of eye-tracking-based optimization to significantly speed up previewing of the artist＇s points of interest. The speed of the preview is further improved by sampling with a distribution that closely follows the experimentally measured visual acuity of the human eye, unlike the piecewise linear models used in previous work. In a comprehensive user study, the perceived eonvergence of our proposed method was 10 times faster than that of a conventional preview, and often appeared to be instantaneous. In addition, the participants rated the method to have only marginally more artifacts in areas where it had to start rendering from scratch, compared to conventional rendering methods that had already generated image content in those areas.

GPU based techniques for deep image merging

Deep images store multiple fragments perpixel,each of which includes colour and depth,unlike traditional 2D flat images which store only a single colour value and possibly a depth value.Recently,deep images have found use in an increasing number of applications,including ones using transparency and compositing.A step in compositing deep images requires merging per-pixel fragment lists in depth order;little work has so far been presented on fast approaches.This paper explores GPU based merging of deep images using different memory layouts for fragment lists:linked lists,linearised arrays,and interleaved arrays.We also report performance improvements using techniques which leverage GPU memory hierarchy by processing blocks of fragment data using fast registers,following similar techniques used to improve performance of transparency rendering.We report results for compositing from two deep images or saving the resulting deep image before compositing,as well as for an iterated pairwise merge of multiple deep images.Our results show a 2 to 6 fold improvement by combining efficient memory layout with fast register based merging.