Tong Wen, Huawei Wireless CTO: Three Key Contents of 5g Development

On the evening of May 31, at the "first global 5g conference" held today, Tong Wen, Huawei wireless CTO and Huawei academician, said that unlike previous generations of mobile communication technologies, 5g mainly has three application cases: first, enhancing mobile broadband, second, extensive machine communication, and third, ultra-high and reliable low delay communication. Combining these three application cases with other application cases will enable 5g to bring us different businesses and adapt to the development of different industries and markets.

According to Tong Wen, the key of 5g mainly includes the following three aspects: first, the network architecture, including what is the network used for? What is the goal? Because 5g involves many industries, we can't afford to build many isolated networks as before, but we need a physical infrastructure to deliver all network services; End to end slicing has increasingly become a very important technology, enabling us to realize application driven networks. Second, wireless access. In the process of standardization, representatives of the industry have reached an agreement that the new wireless will become the representative of 5g. It is abbreviated as Nr. NR will have a new air interface and forward compatibility, which can be supported by many versions, Many applications can be supported, and for the new wireless air interface, we will meet the requirements of energy efficiency, high speed and low delay. Third, inter industry cooperation and intra industry cooperation, which means that our ecosystem must embrace other ecosystems in order to promote and realize the adoption and success of cross industry mobile technology, which is the top priority.

Tong Wen said that from the beginning, Huawei firmly believed that 5g is an open technological revolution process. No one can complete 5g evolution, technological revolution and commercial success entirely on their own. Only by adopting an open and unified attitude can we succeed. 5g is an ecosystem. Without a successful ecosystem, 5g cannot succeed. The same is true today. The whole ecosystem and the whole industry must make efforts. Only in this way can we have a unified global standard.

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This is the wiki text version of lesson 1 and lesson 2 of arm bare metal phase 1 enhanced version.Why do you want to learn SCM without a future?Because it's a good entrance.Learning MCU can let us put aside the complex software structure and master the hardware operation first, such as looking at the schematic diagram, chip manual, writing program operation register, etc. In the last video, I just belittled the single chip microcomputer to nothing, saying that the single chip microcomputer has no future. In this video, I want to tell you that if there is no future, you should also learn the single chip microcomputer. Why?First of all, I don't need to learn MCU, which means don't use the old learning methods to learn MCU. What is the old way?·Hardware: do not use C51, STM32 these special MCU development boards. If you don't plan to engage in MCU development in the future, why do you use these chips? After studying for two or three months, you can use these registers clearly, and you can't use them. It's unnecessary.·Software: do not use KEIL, MDK and other highly integrated software. If you use these software, you can write main (), and then call various libraries for fool operation. These easy-to-use tools encapsulate many technical details, making it impossible for us to understand the essence of bare metal and single chip microcomputer.In the future, we will use a new set of methods to develop MCU. A new set of methods will be introduced later.The reason why we have to learn MCU is that its knowledge is still useful for us to learn Linux. Let's first look at what a Linux system is all about. Software composition of an embedded Linux system: MCU bootloader – > linux driver – > linux app – > linux GUI (Android / Qt). When our PC is powered on, the BIOS will be displayed on the black screen. The purpose of this BIOS is to start the windows kernel. The windows kernel then mounts Disk C (system disk) and disk D (application disk), and finally starts applications, such as QQ and online games. Similarly, our Android phones or industrial control devices also have BIOS, but the embedded Linux system is not called BIOS, but bootloader. Its purpose is to start the Linux kernel. It first identifies the storage device where the application is located, mounts the root file system (Disk C and disk D in Windows system, called root file system in Linux), and finally starts the application.Carefully analyze the bootloader. It starts the kernel. Where does it start the kernel? Obviously, it reads the kernel somewhere. For example, BIOS reads the windows kernel from disk C, and our bootloader reads the kernel from flash or SD card. Therefore, bootloader should have the ability to read flash or SD card. Some bootloaders also display logo, so it also has the ability to operate LC D. bootloader also needs to set the environment of the development board, such as initializing the clock, initializing the memory, and setting the network card. So many things are implemented in bootloader, which is too complex. It is very difficult to analyze the whole bootloader when you come.So how do we learn? Take it apart and write a separate program, such as LED lighting, clock, network card and flash. These are single-chip microcomputer programs. Therefore, bootloader is a complete collection of single-chip microcomputer programs. In order to better learn bootloader, we should practice the hardware one by one in advance. When we are familiar with each hardware , and then combined, it's a bootloader.Let's take another look at bootloader. After bootloader starts the kernel, the kernel mounts the root file system, which means that the kernel also has the ability to operate the hardware, which is the driver. First, let's take a look at a simple driver. First, our application calls open(), read(), write() These standard interfaces are used to access the hardware. Then enter the driver, which has the corresponding drive_open(), drive_read(), drive_write(). Finally, configure the hardware in the driver. For example, for an LED lighting driver, drive_open() should set the GPIO as the output pin, drive_read(), return the GPIO status, and driver_write() Write GPIO and let the pin output high level or low level.For our LED driver, you need to provide drive_open(), drive_read(), drive_write(). This is its framework. The specific operation of hardware is hardware operation. Therefore, we are familiar with and master the hardware operation in the single chip microcomputer in advance. That is, the composition of the driver:Driver = software framework hardware operationYou need to learn to see the schematic diagram, how to connect the hardware, read the chip manual, and know how to read and write registers. All these can be learned and mastered in the single chip microcomputer. When learning linux driver in the future, focus on the software framework.We can learn single chip microcomputer in advance. The learning of single chip microcomputer allows us to put aside the complex software structure and master the hardware operation first, such as looking at the schematic diagram, chip manual, writing program operation register, etc. This is why single chip microcomputer has no future, and we also need to learn. It is because the hardware operation involved in it is very useful for our subsequent learning.Now we know that we learn MCU not to master the development skills of MCU, but to master bootloader and hardware operation.Original post transferred from: http://bbs.elecfans.com/jishu_1544437_1_1.html
"Internet Plus Medical" Has Been Arranged by Internet Giants, Which Promotes the Development of the
"Internet Plus Medical" Has Been Arranged by Internet Giants, Which Promotes the Development of the
Since the outbreak of the epidemic, health codes, online diagnosis and treatment, infrared thermometers, etc. have been gradually known by the public. They share a "tall" name - "smart medical". In addition, in recent years, the rise of online registration, APP end test sheet, electronic medical record, guidance robot and so on are all intelligent medical treatment.However, these new technologies are not as popular as expected. Many grass-roots medical institutions, physical examination centers and elderly care institutions still adopt traditional service modes such as queuing for numbers, handwritten prescriptions and paper medical records; Even hospitals that have established an electronic patient record database do not exchange data with each other, becoming "information islands". Therefore, in the eyes of most patients, "intelligent medical treatment" is just an ungrounded abstract thing.Kangtai medicine (300869) has been established for more than 20 years. It has been mainly engaged in the production and sales of medical devices. Its products cover many categories such as blood oxygen, ECG, ultrasound, monitoring and blood pressure. Its 160 patents are also developed around medical devices. As early as 2010, such a "traditional" medical equipment production and marketing enterprise began to explore the integration of traditional medical equipment, telemedicine and Internet technology, that is, the initial form of smart medicine.What achievements have Kangtai medicine made in years of exploration? For the current situation of "ungrounded" intelligent medical treatment, can it be changed?Medical "Internet access to the cloud" is difficult to sinkAfter the establishment of Ali in 2014, Tencent, Baidu, Jingdong and the US group have been laying Internet plus medical services, thus promoting the first stage of intelligent medical treatment. The second stage is "Ai medical".The problem is that the Internet Medical layout of giants is concentrated in the hospital system, and the coverage of regional health system and family health system is obviously insufficient.Take Alibaba, which has the most comprehensive layout, as an example. In its internet medical product matrix, only pre diagnosis services or auxiliary diagnosis and treatment services such as health science popularization, consultation registration and medicine B2C can touch the regional health system and family health system. In terms of hospital system, Ali has arranged many products and services such as Internet hospital, smart hospital, provincial and municipal Internet hospital platform, doctor training and e-prescription circulation platform.It is worth noting that the layout of "focusing on hospital system" is actually leveraging doctor resources to obtain users in the traditional "doctor led patient" mode, so as to enter the field of medical circulation and out of hospital services. This layout has limited power for hospitals and even the government. Therefore, the high-quality medical resources provided by internet giants are concentrated in the pre diagnosis and auxiliary diagnosis and treatment links, and a large number of patient resources are closed in the traditional medical system and difficult to be touched.In addition, a large number of patients with "minor diseases and disasters" choose to "see a doctor nearby" and enter the regional health system and family health system. Patients in the "three systems" of hospitals, regions and families are difficult to reach, which leads to the low penetration rate of internet medical users: in May 2020, there were 41.35 million active internet medical users, a year-on-year increase of 38%, but the penetration rate of the whole network was only 4%. It is not difficult to understand why the majority of patients believe that smart medicine is "ungrounded".Not only the Internet giant, but also the whole medical service supply is basically concentrated in general hospitals, which seriously deviates from the reform orientation of "graded diagnosis and treatment".Graded diagnosis and treatment emphasizes that it is graded according to the priority of diseases and the difficulty of treatment. Medical institutions at different levels undertake the treatment of different diseases, and gradually realize the medical process from general practice to specialization.In 2015, the total number of diagnosis and treatment in China's medical and health institutions reached 7.7 billion, of which the proportion of diagnosis and treatment in tertiary hospitals, secondary hospitals, primary hospitals and grass-roots medical institutions was 19%, 15%, 3% and 56% respectively; By 2018, the total number of people diagnosed and treated had increased to 8.31 billion, and the above proportions had changed to 21%, 15%, 3% and 53% respectively.Graded diagnosis and treatment "has its form but not its reality". Tertiary hospitals are still overcrowded, and grass-roots hospitals are few. To promote the sinking of patient flow, we must improve the service capacity of grass-roots medical institutions.It can be seen that whether it is the internal demand to improve the penetration of internet medical services, or the external call of "graded diagnosis and treatment" reform. Smart medicine must strengthen the ability to serve grass-roots medical institutions.Kangtai medicine is a domestic enterprise that consciously laid out smart medicine earlier. It has not only laid out telemedicine for a long time, but also a variety of medical instruments have been "online into the cloud". Can it solve the chronic disease of the industry?Go to the masses and expand production and R & DKangtai medicine's layout of telemedicine is reflected in: it has built a SaaS telemedicine platform, which integrates multiple resources such as medical devices, users, doctors, experts and health managers, and monitors individual health in the whole process through software technology, so as to cover high-quality medical resources to families and communities. Its telemedicine software is mainly PHMS telemedicine system Android version and babytalk baby heart language Android version.The "Internet access to the cloud" of Kangtai medical equipment is mainly reflected in that its wrist / desktop / handheld / wearable oximeter supports data storage and upload, and all the physical examination data of the health all-in-one machine can be connected to the cloud platform.Among them, the inspection box, as the standard configuration of grass-roots physical examination, is composed of tablet computer, Bluetooth second-generation ID card reader and Bluetooth data acquisition terminal. The physical examination parameters include almost all conventional physical examination items. Users can quickly establish residents' health files through ID card swiping. The physical examination data can be automatically uploaded to the cloud platform and support seamless connection with third-party platforms.In solving the "sinking" problem, Kangtai medicine and the Internet giant have different choices:Unlike "focusing on the hospital system", Kangtai medical products went deep into the "masses" from the beginning by relying on "Grass-roots" channels such as local clinics, elderly care institutions and families.From OEM medical equipment for foreign manufacturers in the 1990s, to opening the foreign market with independent brands at the beginning of this century, and then to the grass-roots level in China in the last 10 years. Behind the transformation battlefield of Kangtai medicine, there is technical strength support, but there is also "helplessness" from reality.For example, when it turned to the domestic market, it failed to capture general hospital customers with large orders and sufficient financial resources, and had to reach grass-roots medical institutions and family users through the e-commerce platform. The reason is that the former market has been divided up by multinational enterprises and domestic enterprises involved in the earlier stage. Mixing the medical equipment industry, relying on technology and channels, Kangtai medicine had to find another way.Fortunately, most of the medical instruments produced by Kangtai medicine are simple to operate, easy to carry and highly versatile. Even through online sales, they can reach users, and are particularly popular in grass-roots medical institutions, especially families.In particular, the "health all-in-one machine" produced by Kangtai medicine integrates a variety of functions such as detecting ECG, blood oxygen, blood pressure, body temperature and blood glucose. It can be regarded as a master of its core technology and has won the procurement projects of health departments in many provinces and cities. In 2019, the revenue of its all-in-one health machine reached 50.61 million yuan, accounting for more than 13% of the revenue of many sub classified products of Kangtai medicine, becoming a "star single product".In 2014, the measures for the management of village clinics (Trial) was issued. The "health all-in-one machine" is exactly an important medical equipment that must be equipped in the village clinics. This "single product" has contributed to the reputation of Kangtai medicine at the grass-roots level.Smart medicine needs to sink. Kangtai medical products have long been distributed in village clinics, elderly care institutions, families and other grass-roots occasions. It plans to integrate the medical data of grass-roots medical institutions in the cloud through mobile app, which can make up for its current lack of only integrating physical examination data, and is more hopeful to realize interactive consultation among multi-level medical institutions, Help with graded diagnosis and treatment.It has to be said that the former "helplessness" has become the competitive advantage of Kangtai medicine.However, its production capacity and technology have sounded a red light: first, the production capacity of medical equipment has been seriously saturated and needs to be supplemented urgently; Second, intelligent medical equipment has increasingly strict requirements on the intelligent degree of medical equipment. Kangtai medical equipment's "Internet access to the cloud" performance is far from enough, and the intelligent level needs to be strengthened.Suit the remedy to the case, Kangtai medical preparation, and expand production and R & D.The current capacity of Kangtai medicine is about 1.42 million units / year, but the capacity utilization rate has always been higher than 150% in recent three years. Therefore, it raised nearly 220 million yuan to build a new "medical equipment production reconstruction and expansion project", which will double the production capacity and help Kangtai medicine occupy more market share in the grass-roots level.In addition, the homogenization of medical device products is becoming more and more serious. Big data, artificial intelligence and virtual reality technology are changing the medical device industry and becoming an important chip for players in the industry to surpass competition and win market competition. Therefore, forward-looking enterprises are stepping up the layout of intelligent medical equipment, and Kangtai medicine, which pursues intelligent medicine, is no exception.In its prospectus, it disclosed a number of research projects of cutting-edge technologies, including EEG electrode wearing state detection technology and automatic inspection technology of production line, which will produce more "intelligent" medical equipment hardware, not just products that "surf the Internet into the cloud" at the software level. Kangtai medicine also raised 70 million yuan to build the "intelligent medical equipment industry research institute" project, and subdivided the combination of traditional medical equipment and intelligent technology into five research directions to comprehensively sprint intelligent medical equipment.
Forecast of Artificial Intelligence Development in 2020
Forecast of Artificial Intelligence Development in 2020
Recently, the Ministry of education, the national development and Reform Commission and the Ministry of Finance jointly issued several opinions on building "double first-class" universities, promoting discipline integration and accelerating the cultivation of Postgraduates in the field of artificial intelligence (hereinafter referred to as the opinions), accelerating the cultivation of Postgraduates in the field of artificial intelligence and clearly proposing to expand the scale of postgraduate cultivation.According to the head of the Department of degree management and graduate education of the Ministry of education, the opinions pay special attention to the promotion strategy of multi-dimensional integration. First, the discipline construction emphasizes "integrated development", improves the discipline setting mechanism, and takes the major theoretical and practical application problems of the discipline as the traction to promote the infiltration and integration of artificial intelligence methods and technologies into more disciplines; Second, the talent training mode emphasizes "compound training", explores the problem-oriented interdisciplinary talent training mode, deepens the integration of industry and education, formulates personalized training plans, and vigorously improves the innovation and practical ability of postgraduates; Third, the construction of curriculum system emphasizes "precise coupling" and aims at "whole chain", "open" and "personalization", so as to create artificial intelligence core knowledge curriculum system and Application module curriculum; Fourth, the evaluation mechanism emphasizes "Combinatorial Innovation", takes achievement evaluation as a breakthrough, scientifically evaluates various achievement forms such as papers, patents and software copyrights, promotes the classified evaluation mechanism of different types of graduate students, and constructs a talent evaluation mechanism conducive to teachers' interdisciplinary research.It can be seen that artificial intelligence talents will become "sweet pastry" in the future. So what is the prospect of China's artificial intelligence market?Artificial intelligence is the core driving force of a new round of industrial reform. It will further release the huge energy accumulated in previous scientific and technological revolutions and industrial reforms, create a new powerful engine, reconstruct all links of economic activities such as production, distribution, exchange and consumption, form new intelligent demand in all fields from macro to micro, and give birth to new technologies, new products, new industries, new formats New mode. Artificial intelligence is rapidly integrating with all walks of life, helping traditional industries to transform and upgrade, improve quality and efficiency, and trigger a new industrial wave all over the world. So, what is the current situation of China's artificial intelligence industry?The scale of artificial intelligence market continues to expandSince 2015, the scale of China's artificial intelligence market has increased year by year. With the gradual maturity of artificial intelligence technology, industry giants such as science and technology and manufacturing continue to make in-depth layout. According to the data, in 2018, the scale of China's artificial intelligence market was about 33.9 billion yuan, with a growth rate of 56.2%. It is predicted that China's market scale in artificial intelligence will exceed 70 billion yuan in 2020.Layout of artificial intelligence industryWith the rapid development of China's artificial intelligence market, all localities actively carry out industrial layout. On the whole, China's artificial intelligence industry has formed a pattern of coordinated development in Beijing Tianjin Hebei region, the Yangtze River Delta and the Pearl River Delta, especially in the eastern coastal areas.Among them, Beijing's layout is relatively mature and has a relatively perfect industrial chain. In particular, institutions such as ZhongGuanCun science city provide favorable policy, technology and talent support for the development of Beijing's artificial intelligence industry. At present, the number of artificial intelligence enterprises in Beijing is at the forefront of the country, about 400.Compared with Beijing, Shanghai has fewer AI enterprises, but it is also ahead of other provinces and cities. Shanghai plans to build an artificial intelligence highland and create a first-class artificial intelligence innovation ecology. At present, it has arranged a "human" spatial structure, distributed in 8 regions and 11 industries. In addition to Shanghai, Jiangsu, Zhejiang and other places also actively layout, and artificial intelligence enterprises are relatively concentrated.Guangdong's scientific and technological innovation ability is also in a leading position. In particular, the planning and development of Guangdong Hong Kong Macao Bay Area attaches importance to the layout of artificial intelligence. Up to now, Guangdong Province has successfully identified two batches of 8 parks as "Guangdong artificial intelligence Industrial Park". In addition, relying on the important opportunities of national characteristic towns, thousands of enterprises and thousands of towns project, National Independent Innovation Demonstration Zone in the Pearl River Delta and the construction of Guangzhou Shenzhen Science and technology innovation corridor, Guangdong encourages local cities to speed up the application layout of artificial intelligence industry and build a number of artificial intelligence towns in combination with local foundation and advantages.Forecast of development trend of artificial intelligence industry in 2020At present, the basic conditions for the development of China's artificial intelligence industry have been met. The next decade will be the outbreak period of accelerating the popularization of artificial intelligence technology, and the special chip for artificial intelligence is expected to become the next outbreak point. With the commercial implementation of 5g, the development of artificial intelligence industry will be accelerated. At the same time, artificial intelligence has a significant spillover effect, which will drive the continuous progress of other related technologies and boost the transformation and upgrading of traditional industries and the overall breakthrough of strategic emerging industries. In 2020, AI will have the following development trends:1. Policies continue to optimize industry developmentSince 2017, artificial intelligence has been mentioned in the government work report for three consecutive years, indicating the importance of the artificial intelligence industry. In 2019, in the government work report, artificial intelligence has gone through the embryonic stage and preliminary development stage from "accelerating", "strengthening" to "deepening", indicating that it will enter a period of rapid development in the next stage, and pay more attention to the application. In 2020, the government will continue to support accelerating the development of artificial intelligence industry. The "policy continuous catalysis" of artificial intelligence is one of the development trends of the industry.2.5G accelerates the development of the industryWith the further maturity of artificial intelligence technology, enterprise business application ability will become an important assessment factor of capital in the future. 2019 is the first year of 5g commercial implementation. With the gradual advent of 5g commercial era, the connection efficiency of artificial intelligence technology will be further improved, and the fields of in-depth learning, data mining and automatic programming will be realized in more application fields. 5g will further promote the accelerated development of the industry.3. Large scale landing of AI chipsIn recent years, AI chips have gradually reached a usable state, and 2020 will be a key year for the large-scale implementation of AI chips. The end-side AI chip will be more low-cost, professional and integrated. At the same time, NPU (neural network processing unit) will become the basic module of the next generation end-side general CPU chip. In the future, more and more end-side CPU chips will carry out new chip planning with deep learning as the core. In addition to the chip, AI will redefine the computer architecture, and support AI training and predictive computing has become a new heterogeneous design architecture idea.4. Deep learning and large-scale applicationDeep learning is not only an important technology in the field of artificial intelligence, but also an effective technology proved by the industry. The open source deep learning platform with the deep learning framework as the core greatly reduces the development threshold of artificial intelligence technology and effectively improves the quality and efficiency of artificial intelligence applications. In 2020, all walks of life will apply deep learning technology on a large scale, implement innovation, and accelerate transformation and upgrading.5. The demand for talents has increased significantlyArtificial intelligence itself is a high integration of multi skills, not only the integration of traditional technology and data science, but also the integration of data acquisition, data storage, analysis, application, automatic control and other processes. With the deepening and advanced application of artificial intelligence, the collision of skills will continue to increase. It is no longer accidental for artificial intelligence talents to master a variety of skills and complex dimensions to solve problems. With the continuous development of Al industry, the demand for relevant talents is expanding. Al technical talents usher in golden development opportunities, especially in the field of high-tech services and manufacturing.
From January to February, China's Software Industry Showed a Good Development Trend
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According to the data, cloud services and big data services are widely used in various fields of economic and social development, maintaining a strong development momentum, with a total revenue of 99.5 billion yuan, a year-on-year increase of 27.4%, accounting for 15.9% of the revenue from information technology services; The epidemic has led to the rapid growth of "home economy" such as online shopping, driving the technical service revenue of e-commerce platform to 98.9 billion yuan, a year-on-year increase of 33.2%., business revenue showed rapid growth in recovery, and revenue from big data services, e-commerce platform technical services and integrated circuit design maintained a high growth rate; The profit growth rate is at a high level.Overall operationSoftware business revenue grew rapidly. From January to February, the software business income of China's software industry was 1006.3 billion yuan. 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From January to February, the average number of employees in China's software industry was 6.8 million, a year-on-year increase of 6.0%; The total wages of employees increased by 8.2% year-on-year.Sub domain operationThe revenue growth of software products increased significantly. From January to February, the revenue of software products was 259 billion yuan, a year-on-year increase of 20.4%, accounting for 25.7% of the revenue of the whole industry. Among them, the revenue of industrial software products reached 27.7 billion yuan, a year-on-year increase of 18.4%, accounting for 10.7% of the revenue of software products, an increase of 0.1 percentage point over the same period of last year, becoming a key engine driving the digital transformation of traditional industries.Revenue from information technology services grew rapidly. 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From January to February, the revenue of information security products and services reached 19.1 billion yuan, a year-on-year increase of 15.3%.The growth rate of embedded system software revenue changed from negative to positive. From January to February, the revenue of embedded system software was 104 billion yuan, a year-on-year increase of 15.6%.Regional operationThe revenue growth of the software industry in the central region remained ahead, and the growth in the western region accelerated. From January to February, the software business revenue in the eastern region was 829.6 billion yuan, a year-on-year increase of 21.3%. The software business revenue in the central region was 35.4 billion yuan, a year-on-year increase of 30.4%, 9.1 percentage points higher than the national average. The software business revenue in the western region was 115.9 billion yuan, a year-on-year increase of 21.5%, 0.2 percentage points higher than the national average. The software business income of Northeast China was 25.4 billion yuan, a year-on-year increase of 8.3%. The software business income of the four regions accounted for 82.5%, 3.5%, 11.5% and 2.5% of the total national income respectively.Major software provinces continue to develop well. From January to February, among the top five provinces with software business income, the software income of Guangdong, Beijing, Jiangsu, Zhejiang and Shanghai was 212.3 billion yuan, 156 billion yuan, 132 billion yuan, 99.1 billion yuan and 93.5 billion yuan respectively, an increase of 11.0%, 20.2%, 27.6%, 45.9% and 24.5% respectively. The total software business income of the five provinces and cities was 693 billion yuan, accounting for 68.9% of the country, Accounting for a decrease of 0.8 percentage points over the same period last year.The software business income in central cities increased rapidly, and the growth trend in some cities was prominent. From January to February, the software business income of 15 sub provincial central cities in China was 558.7 billion yuan, a year-on-year increase of 19.3%, accounting for 55.5% of the national software business income, an increase of 0.8 percentage points over the same period last year. Among them, the software business revenue in Wuhan, Nanjing, Hangzhou and Harbin increased by more than 30% year-on-year. The total profit of software industry in central cities was 73.1 billion yuan, a year-on-year increase of 13.5%. Among them, the total profits of Jinan, Hangzhou and Nanjing increased by more than 30%.
Advantages of Solar Street Lamps in Rural Development
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The advantages of solar street lamps in villages, how to carry out the equipment? With the development of the market, solar street lamps are gradually used more and more widely in villages. Why do solar street lamps have such application prospects, and what are the precautions for their correct equipment? Next, we solar street lamp manufacturers will clean up detailed relevant explanations for you.Advantages of solar street lamps in villagesSolar energy is powered by low-voltage DC, so it has the characteristics of safety and reliability, no noise, no pollution, energy available everywhere, no regional restrictions, no fuel consumption, no mechanical rolling parts, low failure rate, simple protection and so on. When used, each solar lamp has an appropriate and independent power supply and can be placed everywhere. There is no need for power planning, power capacity increase, manual power control, trenching and burying pipes, laying cables and wires. The equipment is convenient. In case of road reconstruction, the azimuth movement is more convenient and fast.How to install solar street lamps in villages?1. Requirements for light source quality. The service life of solar LED street lamp light source is 3-4 years, and the warranty period of the light source is 2 years. Moreover, in the process of using solar LED street lamps, the heat dissipation treatment of solar LED street lamp light source should be done well to ensure the service life of solar LED street lamp light source.2. Ensure the stability of solar LED street lamp operation. Ensure that the solar LED street lamp will not suddenly go out.3. According to the local actual situation, solar street lamp manufacturers need to properly equip the whole solar LED street lamp system, ensure the cost of solar LED street lamp equipment, and realize the good application of solar LED street lamp in village road lighting.
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Voice remote controls and smart home systems, such as Google home and Amazon echo, are rapidly becoming popular. To be successful, these devices need to provide high-quality voice transmission in attractive systems at the right price. Dialog flexible smartbond â„¢ Voice RCU development kit can help manufacturers quickly and easily create cost-effective, powerful and differentiated voice remote controls for many applications.The suite includes a complete hardware and software design for remote controls based on voice commands and gestures. It is based on smartbond, the Bluetooth low-power solution with the smallest size, the lowest power consumption and the highest integration so far â„¢ Da14585 provides high processing power and large memory for system and user functions.The codec with adaptive bit rate control can automatically adjust the data rate (24-64 kbps) to ensure excellent voice capture quality under any air link conditions. The powerful performance of the suite can always provide more than 90% correct voice command recognition rate under all test conditions.The suite supports integration with Google Voice and allows manufacturers to differentiate their products through user interfaces such as simple buttons, touch pads or "air mouse". The digital microphone is directly connected through PDM / I2S interface without external codec, which reduces the system cost.SmartBond â„¢ The voice remote control unit development kit can realize low-power products, cover a large distance range, and only use a single or two batteries for power supply. It provides a flexible way for customers to design comprehensive market leading products.advantageLow latency, powerful codec, lower power consumption and lower costLess bandwidth is used in low bit rate mode, which has advantages in disturbed environmentSufficient internal memory allows larger audio data buffers for more powerful linksSimple user interface, controlled by slider or touch pad interfaceapplicationVoice command remote controlSmart home system supporting voice commandSpeech recognition system using wireless microphone
Android OpenGL Es Development: Projection and Camera View Creation and Application
Android OpenGL Es Development: Projection and Camera View Creation and Application
The OpenGL es environment allows you to display the objects you draw in a way closer to the physical objects your eyes see. The simulation of physical view is completed by mathematically transforming the coordinates of the object you draw:•   Projection - this transformation adjusts the coordinates of the painted objects based on the width and height of the glsurfaceview they display. Without this computational transformation, shapes drawn through OpenGL will deform in different display windows. This projection change is usually only determined in the scale of OpenGL view or calculated in your renderer's onsurfacechanged () method. For more information about projection and coordinate mapping, see drawing object coordinate mapping.•   Camera view - this switch adjusts the coordinates of the drawing object based on the position of the virtual camera. It should be noted that OpenGL es does not define a real camera object, but provides a practical method to simulate a camera by transforming the display of the drawn object. The camera view transformation may only be calculated when your glsurfaceview is determined, or it may be changed dynamically based on user actions or the functions of your application.This course describes how to create projection and camera views and apply them to the painted objects of your glsurfaceview.Define projectionThe projection change data is calculated in the onsurfacechanged () method of your glsurfaceview. Renderer class. The following example code is to obtain the height and width of glsurfaceview and fill them into the projection transformation matrix through the matrix. Frustumm() method.// mMVPMatrix is an abbreviaTIon for "Model View ProjecTIon Matrix" private final float[] mMVPMatrix = new float[16]; private final float[] mProjecTIonMatrix = new float[16]; private final float[] mViewMatrix = new float[16]; @ Override public void onSurfaceChanged(GL10 unused, int width, int height) GLES20.glViewport(0, 0, width, height); float raTIo = (float) width / height; // this projection matrix is applied to object coordinates // in the onDrawFrame() method Matrix.frustumM(mProjectionMatrix, 0, -ratio, ratio, -1, 1, 3, 7); The above code is filled with a projection matrix mprojectionmatrix, which can be combined with the camera view in the next part in the onframedraw() method.Note: if you only apply the projection matrix to the object you draw, you will usually get a very empty display. In general, you must also apply camera views for anything you want to display on the screen.Define camera viewComplete the transformation process of your drawn image by adding camera view transformation in your renderer as part of your drawing process. In the following code, the camera view transformation is calculated by the matrix. Setlookatm() method, and then combined with the previously calculated projection matrix. The merged matrix is then passed to the drawing.@Override public void onDrawFrame(GL10 unused) ... // Set the camera position (View matrix) Matrix.setLookAtM(mViewMatrix, 0, 0, 0, -3, 0f, 0f, 0f, 0f, 1.0f, 0.0f); // Calculate the projection and view transformation Matrix.multiplyMM(mMVPMatrix, 0, mProjectionMatrix, 0, mViewMatrix, 0); // Draw shape mTriangle.draw(mMVPMatrix); Apply projection and camera transformationsIn order to use the combined matrix of projection and camera view transformation shown in the previous section, first add a matrix variable to the fixed-point shader code defined in the triangle class:public class Triangle private final String vertexShaderCode = // This matrix member variable provides a hook to manipulate // the coordinates of the objects that use this vertex shader "uniform mat4 uMVPMatrix;" "attribute vec4 vPosition;" "void main() " // the matrix must be included as a modifier of gl_Position // Note that the uMVPMatrix factor *must be first* in order // for the matrix multiplication product to be correct. " gl_Position = uMVPMatrix * vPosition;" ""; // Use to access and set the view transformation private int mMVPMatrixHandle; ... Next, modify the draw () method of your graphic object to receive the joint transformation matrix and apply them to the graph:public void draw(float[] mvpMatrix) // pass in the calculated transformation matrix ... // get handle to shape's transformation matrix mMVPMatrixHandle = GLES20.glGetUniformLocation(mProgram, "uMVPMatrix"); // Pass the projection and view transformation to the shader GLES20.glUniformMatrix4fv(mMVPMatrixHandle, 1, false, mvpMatrix, 0) ; // Draw the triangle GLES20.glDrawArrays(GLES20.GL_TRIANGLES, 0, vertexCount); // Disable vertex array GLES20.glDisableVertexAttribArray(mPositionHandle); Once you correctly calculate and apply projection and camera view transformation, your drawing object will be drawn at the correct scale. It should look like the following:Now you have an application that can display graphics at the correct scale. In the following chapters, we can learn how to add motion to your graphics.
The Development Trend of Domestic Automatic Cutting Machine
The Development Trend of Domestic Automatic Cutting Machine
Industrial cluster cluster development, "a nuclear area" industry cluster initially formed. The province's LED industry has been basically formed from the substrate materials, epitaxial wafers, chips, packaging to the application of a complete industrial chain, the province has more than 16,000 LED enterprises, more than 4,000 enterprises on regulations, driving related employment nearly 300 million people. Among them, the province's LED listed companies have 31, of which the main business of LED listed 17 companies, accounting for the country's main business to LED 68% of the listed companies; LED business involving the province's 14 listed companies, accounting for 50% of the country involved in the LED market, the province's total market value of 31 listed companies LED over 115 billion yuan. To the backbone enterprises as the basis, Guangdong LED industry base has taken shape "1 5" pattern of development, that is, Shenzhen national LED industry base as a leader, Huizhou, Dongguan, Jiangmen, Foshan, Guangzhou, 5 provincial LED industry base As the support of the "one nuclear area" industrial clusters.To athiests, the development of human life?Yup, you are suffering from the delusion that God set up everything to match its function, when in fact the function ends up matching the structure. In his book Candide, Voltaire gave the example of an eternal optimist named Pangloss. Among other things, Pangloss believed that noses were shaped so that spectacles could fit them, and legs were designed to fit britches (instead of the other way around). The fetus just happens to make the best of its situation in the womb, God does nothing to make it more comfortable. As human heads got larger to accommodate a larger brain (to give us the intellingence that has proven so important to the survival of the species), women's pelvis' and birth canal grew wider. This, however, made walking or other forms of bipedal locomotion more difficult. As you can see, not everything was perfectly mapped out by God, efficiency at one thing (giving birth to children with large heads) gave rise to inefficiency in another (locomotion and balance). Also, women with narrower pelvis and birth canals will give birth to babies with smaller heads, or, if a baby with a large head is delivered, it will be deprived of oxygen during the process of parturition (giving birth). This would adversely affect early childhood development of the brain and produce less intelligent children. Such children will have a smaller chance of survival to reproductive age. Thus, over hundreds of thousands of years, the descendants of women with narrow birth canals would fail to pass on their genes. This is how it came to the situation today where women have wider pelvises than men, and women from eons ago. Thus, what we see today is only a snapshot of evolution and natural selection. Far from being immediately designed by God to be fully functional organisms, humans have had to evolve, shedding characteristics unsuited to life on Earth. There is nothing inherently beautiful in the design of the female reproductive system today; it just happens to be the best of many alternatives.Please read this article and argue your side. I have no opinion. Please help to clarify this confusing matter!?Interesting article. But it has holes. The US does not pay 17% in GDP it is only 5%. The US military that protects these other countries allowing them to put that money back into these health care systems. The US is the leader in development of cures and procedures for diseases and illnesses. If you are not profitable in medicine you will not have the funds to research new drugs and procedures to combat new illnesses. How much does it cost for a company to research a new drug to treat AIDS or Swine flu? The biggest problem in the US is preventative procedures. If you were to change the diet of the average American you would see the US leap beyond every country in the world. Our eating habits are the only reason we are behind in any categoryWhat type of project can be done under Mathematical modeling in M.Sc. Bio resources management?All kinds of good stuff! Nutrient uptake and/or water storage capacity of wetlands (i.e, impact studies of development or restoration), population dynamics of food species in subtidal waters, effects of perturbation of food sources in commercially valuable species, cascade effects of 'fishing down' the food chain, impact of conservation or exploitation of apex predators on forage species (and vice versa)... hopefully you get the idea. Do not forget about using economic modeling to predict resource harvest and production pressures, too. Exploiting resources is about the money, and the money can be used to track and analyze exploitation, too.
Development  Program
Development Program
Development programIn July 1986 IAE confirmed to conduct a preliminary design study for a concept examining a high-bypass engine which used the V2500 core components. Prior to that study the IAE shareholders Rolls-Royce plc, Pratt & Whitney and MTU Aero Engines had examined several configuration for a high-bypass engine, including several design features like a variable fan blade pitch, a geared fan or counterrotating concepts (geared as well as ungeared). Review of these design studies in June indicated the design of such a high-bypass engine as a single-rotation, geared fan configuration with variable blade pitch. The fan diameter was expected to range from 108 to 118 in while having a bypass ratio of 18:1 to 20:1. Availability of the engine was estimated between 1992 and 1994. In December 1986 the V2500 SuperFan was officially offered to Airbus as powerplant for the Airbus A340 being developed at that time. With that offer, more design details were revealed. In addition to the V2500 core engine, IAE claimed to be able to derive all further components from proven technology. The RB.211-sized fan was to be driven through a Tyne-technology gearbox. Due to the application of existing technology, the costs as well as the risks for the SuperFan development program were appraised lower than those of the competing CFM56-5 engine. Compared to the original design's range of 7,000 nautical miles, the revised version - designated the A340-200 - was projected to have a range up to 8,000 nautical miles with full passenger load. Airbus decided on 26 December 1986 to offer the SuperFan as primary engine option for the A340. In late January, Boeing announced that it was studying the SuperFan as an option for the 150-seat 7J7 mid-range aircraft, with the SuperFan mounted under the wings instead of the aft fuselage mounting of the 7J7's baseline engine, the General Electric GE36 unducted fan. (The 7J7, not the A340, was actually IAE's primary target aircraft for the SuperFan.) Airbus was also considering the SuperFan for a 175-seat stretched version of its upcoming Airbus A320 narrowbody aircraft. First voices indicating not only the high risks associated with the new geared turbofan technology but also the potential failure to deliver the SuperFan in time appeared in February 1987. At the same time Deutsche Lufthansa and Airbus signed a preliminary contract for 15 orders and 15 options of the A340 with SuperFan engines. First deliveries were agreed for April 1992. Reinhardt Abraham (vice chairman of the Lufthansa board) stated that Lufthansa acknowledges the risks connected to the SuperFan program but got binding guarantees by IAE for the performance data and the delivery date. He also described the SuperFan as a rather conservative technology compared to the several Propfan programs that gained a lot of attention at that time. In contradiction to that, officials of Douglas Aircraft - responsible for the A340 competitor MD-11 - questioned the timetable for the SuperFan. Competitor CFM International even completely ruled out the possibility to develop the SuperFan concept in the remaining time until 1992. Despite these concerns, Airbus was able to announce at a meeting of the supervisory board on 13 March 1987 a total of 104 commitments from nine customers for their A330/A340 program. On 3 April, Northwest Airlines announced their commitment for up to 20 A340s with SuperFan engines. Of the now-ten customers for the A330/A340 program, eight ordered the A340 with SuperFan engines; in addition to Lufthansa, the list of SuperFan customers included Finnair, UTA, Sabena, and Alitalia. In a board meeting on 7 April 1987, however, the SuperFan program was officially announced as "indefinitely delayed". No official statement was made after that decision, but Ralph Robins, managing director of Rolls-Royce and board member of IAE, indicated problems with the low-pressure system posed a serious threat to deliver the engine in 1992. Airbus was formally notified about the technical risk in mid-March. He insisted that the problems IAE faced at the same time with the high-pressure compressor of the V2500 were not connected to the SuperFan delay. IAE also contended that the SuperFan was not more than an engineering study and they never committed to develop that engine. Nevertheless, further studies of the geared turbofan concept were announced. In contradiction to IAE's understanding of the SuperFan as an engineering study, the vice chairman of the Lufthansa board, Reinhardt Abraham, made clear that the Lufthansa board had received verbal as well as written confirmations that the SuperFan was a fixed development program. He admitted that Lufthansa had realized the risks in the SuperFan program but had relied on the experience and reputation of the IAE shareholding companies. When asked for the delay's reason, he revealed that in a meeting at the beginning of 1987 IAE presented several technical problems that had arisen: not only the gearbox was mentioned, but also the variable-pitch mechanism and the bypass outlet duct. But in Abraham's opinion these problems could have been solved by investing more, he blamed the problems with the V2500 high-pressure compressor as the trigger to cancel the SuperFan. Lufthansa's engineers recommended against buying the A340 because of doubts of the engine's readiness by 1992, but they were overruled by Lufthansa chairman Heinz Ruhnau with the backing of Franz Josef Strauss, who was both a Lufthansa supervisory board member and the Airbus chairman. When it was clear that the SuperFan would not be available, Airbus decided to offer the CFM56-5C on the A340. In order to achieve comparable performance data to the SuperFan-powered version, the wingspan was extended by 2.6 meters to allow a larger fuel capacity.
Laser Market Is Expected to Catch the "fast Train" of Intelligent Vehicle Development
Laser Market Is Expected to Catch the "fast Train" of Intelligent Vehicle Development
According to jiwei.com, according to the 2020 China laser industry development report, the global laser sales in 2019 were US $14.73 billion, a slow growth compared with us $13.76 billion in 2018.However, with the increasingly wide application of photoelectric technology in the new generation of intelligent vehicles, the laser market is expected to catch the "express" of the development of intelligent vehicles. The optical shaped spot shows unique advantages in many applications. When applied to lidar, it can reduce the use of mechanical moving parts, so as to greatly improve the system reliability and vehicle specification stability.Among them, the upstream component manufacturers can provide laser components required for auxiliary driving (ADAS), driver monitoring system (DMS) and augmented reality head up display system (AR HUD). Therefore, there are relatively more opportunities for upstream enterprises in the laser industry chain to cross-border automotive applications.Torch technology is one of the manufacturers of cross-border lidar. In the previous article [IPO values] behind the entry of Ju Guang Technology into TSMC's supply chain: prominent risk of goodwill impairment in the acquisition of overseas company limo, it was mentioned that Ju Guang technology began to expand into lidar business by acquiring overseas company limo and relying on the success of optical field homogenizer in the application field of semiconductor equipment.Although it has made good achievements in the semiconductor field, it has still suffered losses for three consecutive years. At the same time, can it succeed in choosing to continue to increase the layout of automotive applications?Relying on overseas customers to expand lidar businessIt is reported that photoelectric technology plays a vital role in the new generation of intelligent vehicles.Automotive lidar based on laser and optical technology is gradually applied to the field of assisted driving and unmanned driving technology; The intelligent cabin driver monitoring system (DMS) based on near infrared VCSEL laser light source will gradually replace the traditional LED light source to provide AI early warning system with richer and accurate cabin driver behavior information to make more accurate judgment; The augmented reality head up display system (AR HUD) based on laser display can project auxiliary driving information and navigation information on the front windshield in real time.Lidar is an important sensor of driverless vehicle technology. It is disclosed that Juguang technology is expanding the core competence of vehicle regulation level for innovative automobile application scenarios such as intelligent driving lidar and intelligent cabin driver monitoring system.At present, torch technology is expanding the R & D, production and sales of photon application modules and systems (including lidar emission modules and uv-l optical systems) in the middle reaches of the laser industry. Its automotive application business mainly includes lidar area light source, lidar line light source, lidar light source optical components, etc.During the reporting period, the automotive application business (LIDAR) is an emerging business developed by torch technology in recent years, and has gradually become the strategic development direction of torch technology business. Before 2018, Juguang technology mainly provides semiconductor laser components to automotive lidar customers. In 2019, its lidar achieved a breakthrough in revenue, from 2.19 million yuan in 2018 to 22.72 million yuan in 2019, an increase of 10 times.For the substantial growth of this performance, Ju Guang Technology said that the main reason is that the cooperation project with Continental Germany was officially fixed in 2019, from selling semiconductor laser components to providing lidar transmitting modules to customers, so that the revenue of laser mine business increased greatly in that year.However, even so, from January to September of 2017 to 2020, the net profit deducted by Juguang technology was -29.1239 million yuan, - 492 million yuan, - 80.7789 million yuan and 18.058 million yuan. The net profit deducted in the first three years continued to be negative, with a cumulative loss of 84.9905 million yuan, which did not turn into profit until 2020.Can torch technology last until dawn the night before the outbreak of lidar?Against the background of significant loss of current performance, torch technology still has a large layout in the lidar market. According to the prospectus, Juguang technology plans to use 167 million yuan of the raised funds for the lidar launch module industrialization project.From its actual situation, the laser radar business of Ju Guang technology is still in the stage of R & D investment and application expansion. Although it has achieved a certain income, it has not yet achieved a large and stable profit. At present, it is still in the process of constantly exploring the unknown, and the commercialization and marketization have certain uncertainty.If they fail to make a correct judgment on the R & D direction or fail to harvest the expected application effect in the downstream market, they will face the risk of failure of R & D and raised investment projects. Under the current situation of lidar market, it is doubtful whether Juguang technology can wait for the outbreak of lidar market or obtain a considerable share.According to the prospectus, by the end of September 2020, Juguang technology had reached cooperation intentions or established cooperation projects with a number of enterprises in North America, Europe and other regions, including velodyne lidar, luminar and Argo AI, which are listed on NASDAQ lidar in the United States.Among them, the peak power solid-state lidar surface light source, which has been developed since 2016, has signed a batch supply contract with Continental Germany and has entered the stage of batch production.From the top five customers, Continental ranked the third largest customer in 2019 and the first three quarters of 2020, contributing 7.10% and 9.26% of operating revenue respectively. From the book point of view, even if there are orders from major lidar customers, it has failed to make up for its loss in performance.From the perspective of industry development, relying on large overseas customers to expand lidar business may become a major uncertainty in its future performance, which will reduce investors' valuation.Lidar is about to enter the mature stage, and the next competition is the product cost and scale advantages. Industry insiders believe that "lidar is on the eve of commercial application, and intensified competition is a necessary process for the development of the industry. At that time, many enterprises will not see the dawn of the outbreak of the industry due to inappropriate development route, changes in customer relations and other reasons."At present, velodyne, luminar, quanergy, Bosch, mainland China, Valeo, Huawei, Dajiang and other manufacturers have gathered on the lidar track. Industry insiders believe that the technical route is not the most important for which lidar manufacturer can stand out in the future competition, and the key is whether it can be loaded for mass production and application.From the perspective of automobile enterprises, product cost is the key consideration index. On the premise of meeting the requirements, the lower the product cost, the more opportunities to "get on the bus". In recent years, Huawei and Suteng juchuang have adopted the solid-state lidar route, impacting the market at a lower price. Huawei released medium and long-range lidar products and solutions at the end of 2020. This lidar has a detection range of 150 meters, 96 threads and a price of hundreds of dollars.Under the advantage of low cost, BAIC Jihu HBT model is currently selected to cooperate with Huawei. This model will be equipped with three Huawei 96 line vehicle specification level high-performance lidars and will be listed within the year. In addition, Chang'an Automobile also announced that it would work with Huawei to build a high-end smart car brand, which would be equipped with five lidars.In contrast, for overseas lidar manufacturers such as velodyne, luminar and mainland Germany, the unit price of products is often tens of thousands of dollars, and the loading and mass production has also become the "ceiling" for the listing and valuation of these enterprises. Taking velodyne as an example, its share price performance after listing is not ideal. As of January 19, the market value is only $3.872 billion.In the view of industry insiders, if overseas lidar manufacturers fail to realize mass production and loading, it will also directly affect the shipment of components related to Juguang technology; Relying on these overseas customers, whether torch technology can go smoothly in the field of lidar in the future will also face the market test.
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