Seeing, please go, this British radio antenna is a little fool, don’t be active.

Recently, I have been looking for a look. What? I want to find a wide frequency receiving antenna for my own maque receiver / radio. The diamond and the eagle’s cone the antenna, but I feel that two shapes and volume are too large, the height is one meter seven, the perimeter is 85 cm, I don’t have outdoor, but put in the indoor study is too obses. NS. This can be broken, but I have to search for a more than one thing.

Suddenly, in front of you, I saw a cool appearance antenna, but a small size of a small size, a lot of a circle than the drill and the eagle, I looked at the foreigners to use it directly on the window sill. I seem to catch a life-saving straw, follow the understanding of the situation, see what antenna is.

It turned out that it is a desktop scanner antenna of the British "Space City" brand. It is said that it is a broadband desktop scanner receiving antenna. The applicable frequency range is 25-2000MHz, which is equipped with a magnetic base having a diameter of 12.5 cm. Place the antenna in a stationary car. 70 cm in the audience, standard with a 4-meter-long RG58 cable. What is the actual use effect of this antenna? Please take a look at the experience of the British player.

In the past many years, I have started "Space City" amateur band and CB band antenna, and their performance performance is very good, but this scanner antenna is almost useless. I live on a mountain at an altitude of 820 feet high. The antenna is installed on the attic, I am looking forward to the reception effect of this antenna. The reception effect of the civil aviation band is OK, but it is not expected, the UHF band horse tiger, and the VHF band (including 2m band) is very bad. I use a low-cost hand-held radio manufactured by China to receive a single rubber antenna to receive a signal of 2 meters of bands, but this scanner antenna is not received. I checked it with antenna analyzer, confirming my guess, this antenna cannot generate resonance in VHF frequencies, and in the air band and UHF band. I really don’t recommend this antenna.

Let me talk about the advantages of the "Space City" antenna. This is an indoor antenna, but with a magnetic base, it can be used outdoors. Gain is good, you can receive the signal that I have received by my other antennas; the connection cable is very long; it is easy to assemble and disassemble.

The disadvantage of this antenna: The magnetic base is only placed on a very smooth car to be stabilized. If you put it outside when driving, you will definitely make it bad, and you will damage your car, because Its suction is not so big. This is really not a shortcoming, because people don’t say this is an antenna that can be used. In addition, there is no shortcomings.

I bought this antenna a long time. The performance performance is too bad, so I will throw it, and I don’t know why the effect is so bad. I have just started a NANO VNA antenna analyzer and check its resonance. All the questions are clear at once. In addition to a narrower frequency point of 369 MHz, there is no standing wave ratio below 2 below 500 MHz, and 1.1GHz is OK. The specification of the label is available for 25-2000MHz, it’s really joking! Let’s get a nano VNA antenna analyzer, it is very cheap. This time we can also test the antenna as a profession.

Text: Wireless electric lead aircraft and other translation: radio comment translation Source: Amazon

Rise of the edge – analysis and calculation at any time, anytime, anywhere

The rise in data importance can be said to be one of the most important side effects of the Internet revolution. Through advertising sales and return on investment, traditional sponsorship and advertising model have been abandoned, and it is replaced by taking a cool number and data that can take action, such as personal data, activity, email address, and phone number.
Even if you do not sell products to a particular audience, the data generated by the daily interaction of the Internet of Things and the server can also produce insights, thereby changing the process of the enterprise.
These data are cultured in these Internet of Things devices, placed on the edge of the network, providing the information they need in the cloud analysis platform. For example, in the manufacturing industry, the machine in the assembly can detect problems or even future issues by reading sensor data to feed back them to the analysis platform for enterprises to take action.
According to the research released in September, in 2026, the value of the global edge computing market will exceed $ 17 billion. This provides huge opportunities for the innovation that the company uses this market growth, and is a bigger opportunity for people who can provide solutions at the edge.
Edge analysis
Obviously you can find a lot of insights on the edge, but feed back this information to the cloud platform and analyze it may be a slow and intensive process.
The insights that can be obtained from the edge information allow real-time reactions, and provide analysis engines, allowing decisions to predict future data, reducing spending, looking for new opportunities or changing business models, and raises several examples.
Therefore, fully forming information before arriving, then many of the edge points from the cloud may be the difference between the market and defeat the competitor, or must fight for each customer. This information is not necessarily related to the products, processes, or services provided, which actually analyzes employee’s working methods, the busiest time, and how they manage time. We take manufacturing as an example.
The industry’s company hopes to analyze and detect changes in the production line before the failure. The edge calculation helps to close the processing and storage of the data. This allows the Internet of Things sensors to perform analysis in real time in low delay monitoring of machine health.
Hug
IBM said that by 2025, people in each network in the world will be interacting at least once every 18 seconds, and there will be more device-driven interactions. A large amount of data that needs to be processed needs to be analyzed on the source and only need to be subtly selected to synchronize to the cloud. By analyzing data from the edge of the network, the smart networking device can use artificial intelligence to detect the best data set, ignore useless numbers, and feedback the operational insights that companies can use.
This is also a trend that is happening. In the same study, IBM learned that 91% of their surveyed organizations were planned to implement some form of edge calculations within 5 years. No longer sitting ingredient – a large number of copies of the network, has now proven to have applications in multiple industries, including manufacturing, sports, fitness, and agriculture, but not always connected to the cloud.
For companies, the network edge hugs may seem little mediocre. However, you also need to monitor such insights to increase productivity. In the current "amplification fatigue" has become a common obstacle to organize to overcome, it is possible to discuss when they work, how to arrange a day of work and 12 meetings will be the best way to make contributions.
Enterprises can also utilize integration of intelligent edges in its latter infrastructure, which is a key growth area since the popular popularity. In the local data center, calculations and gateways, facing the growing demand and continuous decreased budget in IT teams, edge devices have become a necessity.
For example, the local data center manager is looking for a solution that allows them to monitor and manage the stacks they can quickly install. Similarly, the gateway edge solution that the company wants to use is a one-run solution that allows IT professionals to securely grant access to people who should have access to access rights, while still allowing a certain degree of remote management.
Like many innovations in the technology industry, it may be killed because I don’t know where to start. However, the starting point of the corporate edge may be a smaller solution, which uses artificial intelligence to make IT teams easier. Since then, companies can launch a solution in different departments to ensure an efficient staff team.
Over the years, the artificial intelligence and the marginal market is full of complex use cases of manufacturing and small equipment with sensors, which must be places where it can be used. However, after a bulky machinery and complex language, ordinary companies can use an advantage, operation and deployment, and establish a simple manner in a way that is not daunting but actually manually. It doesn’t take a long time.
This is because, in the final analysis, the edge calculation is to utilize data, understand data and make decisions that can improve efficiency. By adopting artificial intelligence in the edge, companies can save money, find new opportunities, win more customers and improve customer loyalty, because they can convert this information and deliver information in the form of USP, guarantee, or simple suggestions to make their products and services better.