[信息传输、软件和信息技术服务业,计算机、通信和其他电子设备制造业] [2020-06-18]
人工智能产业发展在国内受到广泛关注, 但各个地区不顾自身条件, 盲目发展人工智能产业, 很容易带来产业同构、重复建设、产业技术创新能力不强等问题。本报告根据相关产业经济学理论, 建立了由产业要素、产业生态、产业场景和产业环境4 个一级指标组成的人工智能产业吸引力指数评估模型, 并对国内直辖市、副省级城市、省会城市进行了测评,结果显示: 城市吸引力层次较为明显, 形成了五梯队发展格局; 初步形成北京都市圈、长三角、珠三角三大产业集聚区;内地城市产业发展潜力巨大, 有望成为中国新的人工智能集聚地。本报告还提出了中西部城市加快人工智能产业发展、促进东西部人工智能产业合作等建议。
[批发和零售业,信息传输、软件和信息技术服务业] [2020-06-18]
5月22日,李克强总理在作政府工作报告时指出,要推动制造业升级和新兴产业发展。电商网购、在线服务等新业态在抗疫中发挥了重要作用,要继续出台支持政策,全面推进“互联网+”,打造数字经济新优势。
[信息传输、软件和信息技术服务业] [2020-06-18]
自2.10复工复学以来,移动互联网整体流量持续下滑,进入4月后又有所回升。2020年4月移动端整体流量保持平稳运行,周活跃设备数稳步上升。周总使用时长从2.10-2.16开始不断下滑,下滑8周后有所回升。
[信息传输、软件和信息技术服务业] [2020-06-18]
电信主营业务收入增速低迷。2020年1-4月,电信主营业务收入累计完成4562.0亿元,同比增长2.3%,增速比上年同期和上月分别回升1.6和0.5个百分点。整体来看,电信主营业务收入增速呈回升趋势,但仍保持低速增长,主要是受提速降费政策以及三大运营商业务转型困难影响。
[信息传输、软件和信息技术服务业] [2020-06-17]
[信息传输、软件和信息技术服务业] [2020-06-17]
[信息传输、软件和信息技术服务业] [2020-06-17]
[信息传输、软件和信息技术服务业] [2020-06-17]
ZigBee is based on IEEE's 802.15.4 personal-area network standard and is widely considered an alternative to Wi-Fi and Bluetooth for some applications including low-powered devices, that don't require a lot of bandwidth such as smart home sensors. ZigBee is considered a superior technology for smart homes since it operates in a mesh network. It supports up to 65,000 nodes on a single network. While there are limits to interoperability due to multiple application profiles, such as Home Automation and Smart Energy, Zigbee's device interoperability is still a very useful feature. Keeping this in mind, The ZigBee Alliance announced the ‘All Hubs Initiative’ in May 2019, to make smart home and IoT products easier to develop, deploy, and sell across ecosystems. It would strengthen interoperability, reliability, and security Across the IoT.
[信息传输、软件和信息技术服务业,计算机、通信和其他电子设备制造业,汽车制造业,仪器仪表制造业] [2020-06-17]
Drive by wire system is also known as the X by wire and is semi-automatic, computer-controlled technology, which is used in autonomous vehicles. This system is used to control the vehicular systems such as handling, braking, steering, and other vehicle motor functions. In addition, electronic components such as sensors and actuators are used to control the vehicular functions and eliminate the need to use traditional mechanical linkages. The drive by wire market is anticipated to witness significant growth over the years, owing to rise in development of autonomous vehicles and development of connected infrastructure. The global drive by wire market is segmented into application, vehicle type, component and region. Depending on application, the market is divided into throttle by wire, shift by wire, brake by wire, park by wire, and steer by wire. On the basis of vehicle type, it is categorized into passenger car, commercial vehicle, electric vehicle, and Off-highway Vehicles. Components are categorized as Actuator, Electronic Control Unit (ECU), Engine Control Module (ECM), Electronic Throttle Control Module (ETCM), Electronic Transmission Control Unit (ETCU), Feedback Motor, Parking Pawl, Sensors, and Others. By region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
[信息传输、软件和信息技术服务业] [2020-06-17]
Clickstream analytics is a set of processes that collect, analyze, and provide visualized results of aggregated clickstream data. Clickstream data is information trail that a web surfing user leaves behind while visiting a website. The clickstream data is typically captured in semi-structured website log files. These website log files contain data elements such as a date and time stamp, the visitor’s IP address, the URLs of the pages visited, and a user ID that uniquely identifies the user. Thus, businesses that operate through online applications benefit from clickstream analytics by analyzing the clickstream data. Therefore, the market is expected to grow at a significant rate during the forecast period, owing to aforementioned factors. Furthermore, rise in elusive clickstream data due to diversified platforms such as Facebook, Twitter, Snapchat, and Google fuels the demand for clickstream analytics. The clickstream analytics have ability to refine data by processing, cleaning, and transforming the raw data into convenient structure that makes analysis of data easy and more accurate.