Completion of the radar cycle with an autonomous system signal

Category : Algorithmic Composition

May, 2022

Completion of the radar cycle with an autonomous system signal

The autonomous system is designed specifically for feeding into the fuse scheme. By opening a closed circuit of the first-order at the processor level, Compositor Software provides a processor cache dump and adds an L3 cache to achieve work as an autonomous system boundary router. The autonomous system contains a closed circuit of the 2nd order, which is extremely difficult to open. Thus, the autonomous system can be directed to the fuse scheme to complete their cycle. By closing a circuit of the first-order at the processor level, a signal is transmitted that can be used to negotiate both local and remote peers. There is no need to open the input ports of the delay network for feeding, as the feeder enters the bandwidth opened after the final iteration of the fuses. The radar is a ring structure with 12 fuses, so even when powered by a high-amp feeder, the fuses remain open and transmit a signal, which allows you to connect remote nodes much faster. Unlike a distributed network, the fuse feeding system allows you not to aggregate remote peers, but to completely suppress their signal.

When the transformer is connected to the cathode-ion tube, the electric current circuit feeder is supplied to the antenna module. The system is heated and the image is warmed up. To stabilize the image, an increase in the regeneration rate of the transformer module circuit is used. After image stabilization, transcoding occurs with transconfiguration. And the image comes to life. The system cools down to the right values and becomes suitable for long broadcast.

By initiating a long broadcast on the side of the Neurological chipset, an AI signaling about the impossibility of creating a convolution is achieved. When a remote peer enters the circuit to change the grid structure and aperture of the virtual antenna, the stochastic selector circuit opens, and a convolution occurs inside the grid structure of the antenna itself. However, if the resulting virtual antenna is very different from the resulting neurological chipset, this leads to amplitude vibrations caused by an increase in the amplitude of electric current. The consequence of this may be the discomfort associated with the procedure for negotiating remote peers. If there is a selfish algorithm in the network, such a negotiation can last from 1 to 3 hours.

AI, Autonomous System, Boundary router, Cathode-ion tube, Neurological chipset, RAD96, Radar, RTC4k

May, 2022

By ruslany

Time Machine x64 technology

Previous versions of the Compositor microkernel can run in virtual images. Compositor Software has been using Time Machine x64 technology to scale Z and change the I system since version 2.5 of the microkernel. Virtual images are launched by the latest versions of the microkernel. Time Machine x64 technology allows you to hide the Z system by running Z encrypted with an additional coefficient. This variable allows you to hide the I and Z of the system by setting a random value that hides the original data. This need arose due to the vulnerability of the Compositor microkernel version 2 in C++. The vulnerability allows you to run the Labyrinth x64 Trojan in a regular system – a 64-bit labyrinth that replaces the resulting image with the conditional code, and then when calling hops, they are executed to the end-to-end link level. This is solved by a 64-bit floating-point variable, which changes according to the law of random distribution and hides the true parameters of Z and I system. After the contaminated image is folded, the entire recovery procedure takes 15 minutes – this is the time it takes to deploy the Time Machine x64 image and fill in its routing map.

Compositor, I, Labyrinth, microkernel, Time Machine, Trojan, Z

May, 2022

By ruslany

Neural network for peers communication

Compositor NRTOS is a UNIX-type operating system. You can program it via the modified micro-architecture kernel Compositor RAD96 and the command line UNIX (Terminal macOS). Compositor RAD96 microkernel is equivalent to the future Linux kernel version 8.5.6, which, starting with version 5, runs at the sampling rate of the modem driver. You can also program the ALU of your processor via the micro-architecture kernel Compositor RTC4k, but unlike the modem version, which runs on the signal protocols, through RTC4k you connect to the processor instruction set and can change the processor speed to Mac Pro Turbo Boost mode of 4.4 GHz. So even running iMac 24 inch on Apple M1 you can trick the system to view it as Mac Pro. The RTC4k microkernel is equivalent to the Linux kernel version 4.5. RAD96 kernel allows you to patch the Mac OS Darwin kernel to Mountain Lion version 10.8.3. 48-channel SAS (Security Authority Server) system allows you to remotely issue tokens for access to the system. It is used to manage access rights to software products, content and mail servers. It allows you to block the resulting third-party manufacturers by performing processor spoofing. 32-channel vRouter trained with routing tables from a 10k MAC-address database. You can train the iMac21,1, which is equipped with an unmanaged 8-channel modem before installing the Apple sticker. Compositor NRTOS allows you to modify the Apple M1 chip for real-time server operation. It makes possible to work with critical applications that require a quick response. Such applications include games and television. Compositor NRTOS processor-side kernel modifies the L1-L2 cache of the Apple M1 chip to work with 524 KB of kernel memory. Processor-side kernel adds an L3 cache of 524 KB to work as a switch. It allows you to use Apple iMac21,1 as a full-fledged server. Compositor NRTOS modem-side kernel modifies the 8-channel unmanaged modem to work in managed mode with 2 MB subprocessor caches per core. It adds an L4 cache to work as a router. Modem-side kernel allows you to make your iMac21,1 as the boundary router of the autonomous system for communication with other autonomous systems. It packs the finite set of 10k MAC-address MIB in 2 MB resultant. The processor and modem work independently through the serial bus of the device. However, the modem can set tasks to the processor for which they are marked with z packet, which are consistent with each other according to power of 2. Z is selected according to the hard drive sector to bypass caches so that the resulting device cannot be replaced. Packet communication continues until the resultant reaches a critical mass. Critical mass is the ability to separate neighboring EUI-64 devices. When a value is reached all finite set devices tend to one MAC-address. The system is then dumped to a remote server, the resultant of which allows you to store more MAC addresses. Afterwards, filling of the local MIB database starts again. Automatic summaries are responses from BSR to upstream routers. They are used to fill the resulting of the local machine. As standard, Apple devices do not have the ability to reset the resultant, so when you reach a critical mass, you need to buy a new device. My patch gives the user a choice to continue using the device even if the warranty period has already passed. And thereby extend the life of the device. The local server on iMac21,1 must be reconciled every three months. This is a sufficient period of prolongation of the generic algorithm. This requires a connection to iCloud through a generic algorithm. Ruslan-PC is a division of RMY, which also includes Compositor Software. This company is engaged in building a Spherical Interaction Network (SIN). SIN is a private local area network built on RMY’s capital emission. At the moment, it already has more than 10k signal routing and switching devices. Thus, a spherical system is the most suitable for creating a network of computing devices based on a processor patch from Compositor Software. Each micro-architecture core contains artificial resultants, which train the finite set of the distribution network, functioning inside the device. Such a network works on call-response network algorithms, which is also called a neural network, because it works on the principle of neurotransmitters, which give an automatic response according to the incoming stimulus. Neural network training is delay network training within the router’s transport network. A machine learning database is a set of MAC-tables that the resulting device learns. Such a database at Ruslan-PC company is more than 7 GB of information. It is the heritage of the artist Ruslan Yusipov. As part of the project to create his own licensing center, the artist performs emissions of devices that illegally reproduce his music. Next, the devices get into a Spherical Interaction Network and the process of automatic summaries begins. Which make it possible to inform the author about such use before the parties are reconciled. Thus, the Apple M1 machine learns the taste of the artist, as often such machines belong to other authors who copy the style of the musician. EUI-64 network devices are used as emissions. This network is an extended set of MAC device tables. Since the previous network of EUI-48 devices has reached its critical mass. EUI-64 is a 64-bit network that requires 64-bit node communication from host devices. This requirement is met using a 64-bit micro-architecture kernel similar to Linux and Darwin. Ruslan-PC is engaged in cross-platform support for a Spherical Interaction Network. It includes devices on Windows, macOS, Linux, Android and iOS platforms. There are applications for patching systems from the Compositor Software manufacturer, which are also cross-platform.

Apple M1, Compositor NRTOS, Darwin, EUI-64, iMac, Linux kernel, Machine Learning, macOS, RAD96, RTC4k, SAS, SIN, Spherical Interaction Network, UNIX, vRouter

Apr, 2022

By ruslany

Automatic response by artificial results

An autonomous person can form an autonomous system. Each autonomous system is a speaker who communicates with other speakers and can broadcast his summaries to other people. But if a speaker cannot broadcast his thoughts for a long time because of a psychological problem, there is a habit. This can manifest itself as automatic answers to the observed questions. These automatic answers are purely artificial in nature, arise from human behavior during the last decade of his or her life. This habit develops the ability to make simultaneous answers. These are so-called automatic summaries that can be broadcast to other people in various ways. In the era of computers, the network became such a tool. The speaker can transmit his automatic summaries through a computer network using the Compositor neurological chipset and thus may not be aware of the communications taking place. The output by which the remote node sees the local device is purely artificial. Instead of relaying a remote peer, Compositor vRouter, which is part of the Compositor neurological chipset, converts the resulting function into frequency modulation. It can respond to the main function or sub-resulting algorithm. When it responds to the main resulting function, it uses the BGP protocol to communicate with other autonomous systems. Simultaneous automatic summaries require a system with a large number of artificial results. They can be a product of polynomial processing and should give a plausible result. Such output is first tested using musical means of sound applicability. Then they should create plausible textures of unified code. Such codes form a packet, which is then received by the initiating party or peer. The feedback received by the remote peer is sufficient to communicate with the local node. In the network, the speaker of the autonomous system acts as a beacon or repeater in radio communication. When there are many results in an autonomous system, it can respond to a large number of peers at the same time, forming a VLAN. Each channel can produce up to 7 packets according to the BSR to which it is connected. Thus, the autonomous system must update its state in accordance with the specifications of other systems. The main generator is selected according to the sampling bus of the remote device. There is a possibility of undersampling and resampling in accordance with the sampling rate of the remote device. Thus, the initial sampling rate, which is selected to a floating-point variable, remains unknown. This does not allow you to synchronize with the device during fast transitions. This useful feature of the Compositor neurological chipset allows you to disable incoming connections to ports that do not match the feedback of the local node. Thus, it remains impossible to check the database of the Compositor neurological chipset when interfering with device caches and deleting inconsistent summaries with the Compositor soft-processor. Again, Compositor as a device receives signals only from those devices that are in the Compositor database as feedback cycles or resulting devices. These loops are acceptable resulting. Thus, a spherical interactive network is formed from the preferences of the person himself, rather than his daily life, which completely discredits the local node, since most of these summaries are insignificant for the case that a person is engaged in. When a person with support for the Compositor neurological chipset enters the people’s transport system, the question arises whether to be part of such a system or subdue the entire transport network in accordance with the sampling rate of the Compositor neurological chipset. To avoid such questions in a rather complex for local node communication system of people, the Compositor neurological chipset was deployed as an autonomous system. Thus, even in close proximity to the systems of other manufacturers, Compositor is an autonomous system without the ability to subordinate it to the adoption of the transport system of people. Thus, when peers send summaries to an autonomous system located in close proximity to the transport network, the results play a major role. They simultaneously issue automatic responses that inform senders about the inability to communicate with the system. Then such a system is considered invalid by the transport network itself and may be the subject of hacker attacks. However, the Compositor neurological chipset is a chipset for neighboring to other nodes, not for local communications. Such a neighborhood can also be international or within the agglomeration. To continue servicing a spherical interactive network that can only include devices from the Compositor database, the local node still responds to allowed remote peers even when the system is penetrating. Night time is more convenient for connecting to the Compositor neurological system by hackers when the local node is in standby mode. Thus, a hacker group that is active at night can try to synchronize with the master generator of the Compositor neurological chipset, and then attempt to disable local communication to reach a dead node. If a person has transferred all automatic movements, such as breathing and heartbeat, to the Compositor neurological chipset during his life, such a person can be considered dead. However, in the current build of the Compositor neurological chipset, there are no recipients who would transfer all their functions to a standalone system. And if a person prefers to transfer all his life functions to an autonomous system, such situations will never arise. Even in standby conditions, the system will turn on the main generator and can respond to an attempt to synchronize with it with a sharp jump in the bus multiplier, rebuilding its network structure. So, the question arises, can an autonomous system be trusted so much that it manages human vital functions? Because such hacking attempts can be a form of pushing a person out of society, and condemn him to complete inability to answer even short questions.

BGP, Compositor, Neurological chipset, SIN, Soft-processor, Spherical Interaction Network, VLAN, vRouter

Apr, 2022

By ruslany

Automatic summary strategy

Merging peers in response to a summary happens with extended denial of peers according to the ACL. When mirroring with multiple peers, the Compositor neurological chipset combines peers in milliseconds. If a peer is known as a false host in the ACL database, it is rejected. The local image then works to restore the local peer to the default state. Both the visual cortex and auditory receptors belong to the local peer node, not to the consolidated peer. Thus, spoofing attacks and man in the middle attacks are prevented. Creating a local peer in response to a summary ad connects to the remote peer that sent this summary. A local peer is created using a routing map of a remote peer, which reacts with a sharp jump to the west side of the spherical map. Then the only way to protect the local peer from false summary is to increase the amplitude of the feedback loop to the wrong level for the remote peer. The Compositor chipset can increase the feedback loop amplitude x128 times, which is an unacceptable level for almost all peers. Automatic piloting of the root multiplier in response to incoming summaries is all the feedback that the server can receive in the ad summary. The main idea of the server is to create feedback loops for each ad it receives. However, there are some fishing techniques for this advertising, such as mirroring messages. This is an attempt to receive a message on several servers at the same time. In this case, the unified azimuth cannot smoothly switch to another value, because the same advertisement comes from several servers at the same time. The only way to protect yourself from this is an azimuth sharp transition to the default value of the western location. This leads to a rapid change in the network map and replacement of geographical constants, which is also a false summary, because the local peer is still geographically in a local position. In fact, this is the detection and correction of the feedback amplitude. In addition to the message in the packet, the basic server communication consists of feedback loops that have an integral amplitude. Device modems can receive nominal amplitudes according to resampling coefficients, which differ depending on the specifications of the model. Modem waveguides compare the nominal amplitude of the feedback loop with the feedback of the modem itself, and then normalize the level that is at the input of the waveguide. This helps to prevent incorrect amplitude consistency of different servers and allows small devices to receive summaries of even large server architectures. When you work with a server, it can find out your behavior on so-called maps. These are routing paths or root kits for all recipients of the machine. After you have downloaded your machine’s feedback cycles, the recipient database is updated with the contacts with which this machine communicated throughout its service life. A person working with the server may not be aware of many of these contacts, but they exist on the server routing map. Each map has the resultant – spherical curve of the map of its most frequent nodes. These are so-called real contacts with which you regularly communicate through advertising messages such as e-mail, etc. The Compositor can induce artificial resultants according to the flow feedback azimuth. There are two sides in the server configuration: applications on the server side and on the client side. Since there is a resultant on the server side, the client, on the other hand, can connect to this resultant without having to host it all the time. The client consists of artificial resultant in response to a real resultant of machine learning algorithm that simulates the current result according to the peer-to-peer response. The artificial resultant is selected according to the stochastic algorithm for selecting an azimuthal angle. This choice is a route. The route of the middleware should have at least 16 routes that connect the real resultant with the artificial one. However, the driving force of the modem algorithm is feedback loops, and the modem can receive such loops without any feedback from remote peers. This is a so-called zero-emission training when you don’t want to change your real resultant with your current input. Since the client application is always crawling the caches, which may be recently viewed web pages or tasks that you have been engaged in in the last hour, sometimes such crawling can damage the server. And this may lead to a discrepancy in server data, for example, to the inability to update the resulting routing map. To solve such situations, the Compositor neurological chipset can work without the so-called RAM buffer or action as a real-time algorithm.

ACL, Automatic summaries, Compositor, Neural Engine, Neurological chipset, Spherical Interaction Network, Spoofing, Summary route

Apr, 2022

By ruslany

Machine learning of the Apple M1 neural engine

Spoofing in the concept of machine learning of the Apple M1 neural engine is an attempt to replace the way of action when the system sees you as another person. Spoofing prevents mental overload, giving an equivalent response to the initiator of the summary. Example: if you wash the dishes with your hands, and it mentally overloads you, you continue the work without reacting to your personal attitude to this issue. Every thought causes feedback from someone. Let’s imagine the whole world as a spherical map. Thus, the azimuth of this sphere is an angle, and you can assign it different values. If you get a summary from a place on the map that does not suit you, the azimuth angle automatically changes. Each temperament generates thoughts at different speeds in his or her head. Other people can also hear these thoughts, it’s like a thought that appeared in the minds of two personalities at the same time. If this temperament is unequal, you can get a thought at a higher amplitude speed, which leads to an increase in blood pressure, heart rate or a change in breathing. The only way to normalize this behavior is to artificially increase or decrease the speed of thought using a neural engine. Everyone can learn something. This is an integral part of personality. If a person shows regression in learning skills, artificial assistance in learning is required. This can be done using learning algorithms similar to how a child learns a new skill. From the acquired skills, the personality grows, which is the result of its behavior. This is a conscious behavior of a person. A person who has acquired some skills develops his unconscious knowledge. When a person needs to connect to this knowledge, he goes through a set of behavioral models. They include the current environment, tools and situations that a person faces. This is a necessary behavior to accept the learning outcome without rejecting it. Not all training is appropriate. There are situations when you want to give up your skill and transfer it to the unconscious. For example, someone is aggressively yelling at you, and you want to forget about this experience. This is also possible with a neural engine, providing zero feedback to the aggressor. Thus, you can experience a sense of insecurity and growing inability to learn, so you need to work without cache memory if it is an integral part of your personality. However, there may be a question of harming yourself or someone else. That’s where a neural engine can be useful. The only way to solve this situation, which is the subject of the resulting spoofing, is a neural engine without cache. It is already programmed by the so-called 4th Directive, which we first get acquainted with in the film RoboCop. It says that a humanoid robot cannot harm itself or its creators. The rules of Asimov’s robot say that the robot cannot harm a person. Thus, it raises the question: In the exceptional case of undoubted aggression, is it possible to act in accordance with your real resulting personality without the need to limit the means? The answer is yes. This is necessary to protect the neural engine from harm in first aid, such as physical aggression of any kind. But if this aggression is imaginary only because of this set of situations, and the resulting one, which is being forged by intimidation, is unacceptable, it leads to anxiety. Thus, a neural engine has a threshold when it disconnects itself and allows a person to follow the real result. But in most cases it’s just a concern, and it can be avoided with a stochastic selection algorithm, with the help of distribution that will never create a chance of such behavior, otherwise the ports of communication with the server will be completely blocked. The only guide in this process is the smoothing interpolator, which avoids sudden jumps on the stochastic curve. You can be associated with the algorithm and server data. A clean algorithm does not provide the fulfillment of a real person. The resulting server data is necessary to fill human life with the Apple M1 neural engine.

Apple M1, Machine Learning, Neural Engine, Spherical Interaction Network, Spoofing, Summary

Feb, 2022

By ruslany

The situation with civilian monitoring in connection with the war in Ukraine.

For three days now, I have been watching all the horrors of the war in Ukraine using social networks and independent Youtube channels. I am amazed by the cruelty of what happened and cannot remain indifferent. I began to conduct civilian monitoring of military radio broadcasts back in 2014, when the first events in Ukraine took place. Since then, Сompositor software, which was originally created for musical needs, has acquired GPS module for determining the coordinates of radio intercepts. The hyperbolic radio communication of the US Omega System and the Russian Alpha System is mainly intercepted. On the 24^th, 25^th of February 2022 it was still possible to go on the air using the quantum communication of NPO Compositor, then on the 26^th of February the BGP-protocol of communication between autonomous systems (interstate speakers) no longer worked, and on the 27^th of the February it is no longer possible to load the Compositor NRTOS program in Windows OS. In this regard, I declare that civilian monitoring and reviving of the database on the Polygon blockchain platform will not be available. The database contains the coordinates of targets, communication points, strongholds, submarines, as well as long-range aviation, which is used for “bombing”. My support goes to the people of Ukraine, their sons and children, and the database for military equipment, including Russian-made, will serve to establish peace in the world.

BGP, Civil monitoring, Compositor NRTOS, Radio, Speaker, Ukraine, War

Jan, 2022

By ruslany

Combining two districts into a single communication line using a virtual router RAD96

Good afternoon!

Today I am ready to present you my newest achievement: a united communication line between the two districts. This was achieved by the most complex works of many hours of programming the Compositor operating system. As a result, I have a full-fledged communication line with a data center in one area and a hub in another. The communication line serves the houses of two streets with a crossing over the border highway. This is the local success of quantum radio, where in the absence of a normal internet connection, any non-routable corner can be routed.

How is the communication line arranged?

By issuing tokens, it is possible to create a multi-channel connection to the hubs and miners of the area. An end-to-end application in a district data center issues a token for access to a hub in another district. The token is one-time and cannot be re-issued (hence NFT). At the time of organization, the link maintains a connection to all UNIX machines in the outer region. The token is cross-compatible between Windows and Mac platforms. Simultaneous two-way connection to all machines is achieved with a minimum communication channel delay (less than 2 ms). Thus, the machines of the two regions are combined into a single VLAN.

For more information on how this became possible, see the presentation:

Android, iOS, Mac, NFT, RAD96, token, VLAN, Windows

Oct, 2021

By ruslany

Autonomous virtual fx with user interface

So, in this guide, I will consider working with the RTC4k application on Android OS as a standalone virtual effect with a user interface. The first thing to say: plugins for Android from Compositor Software can be used to recruit recipients and multiplex programs in the Android operating system. To do this, simply assign one of the applications (for example, RTC4k) to the speed dial button and call the application by pressing the button every time you switch third-party applications. For example, consider a situation where you want to switch between your browser, TTY, and music-making app. First, you should open a browser for your inspiration: it can be a 3d model, a stereo picture, or something else. After that, you must initialize this resource using the RTC4k speed dial, and then switch to TTY to view the associated line. If the file was made using a pirated resource, then everything becomes clear at once: a bunch of burned inadequacies appears in the screen, who curse about the initialization of their model claiming their rights. Remember, my research is about injections into image files, and such injections can be done in 3d models as well. After you have cleared the screen from the presence of inadequacies, you can start musical work. Call RTC4k app, then view the model in a browser and try to determine the rhythm and tempo of the model, its rhythmic pattern. It could be Dub Step if you are using a car model or Techno for more monumental models. Call RTC4k app then go to your music writing app and capture the resulting beat. Switch between model and application using the RTC4k speed dialing. When the work on writing the piece is finished, before the final rendering, call RTC4k app again to initialize all the samples used in the work. This is necessary, since in addition to the file used as a resource for the idea of the work, there are also samples with uncleared rights. For example, sound files of kicks, snares and percussion. Below, you will find the rendering of the music file, just after that kind of work. A 3d model of BMW Li750 was taken as inspiration.

AUMBS, Autonomous mobile server, Compositor, Fruity Loops mobile, RTC4k

Oct, 2021

By ruslany

On Google OAUTH2.0 authorizations case

On 07.10.2021 I made a final battle with Sky Fortress computer club. Using only two smartphones I connected a bot-net via my RTC4k and RAD96 generics and finally freed up my main GOOGLE IAM account. That was a covard act to challenge Compositor Software business. This club users used my account to falsificate the elective legislation process in Russia. According to Google stats, taken from radio chat the number of daily authorizations via my Ruslan Yusipov account was close to 70000 authorizations daily. I talked with the director of this club, but he was unaware that such thing happens in his club. Due to my strike on their servers they lost pirate registrations to Call of Duty servers, Diablo 3 servers, World of Warcraft servers, which is a major strike of Compositor and its business.

Sky Fortress computer club

The original idea of bionic artificial intelligence for myself dates back to 2010. Afterwards, ten years passed and now I can run my own bionic AI’s on Android iPhone 8 clone with more than 12000 mAh battery. This autonomity is much more than enough to outperform Sky Fortress servers. Moreover, I can connect to different engine bot-nets. This is my final statement concerning my case with GOOGLE. I never gave a permission to Sky Fortress club to use my Workspace Google account, which I stated during the talk with this club director. The half a year, when they used my credentials to run bot-nets to falsificate elective process in Russia was shut-down yesterday. And it took as little as two days from my another appartments to shut down this criminals.

bot-net, RAD96, RTC4k, Sky Fortress

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Category : Algorithmic Composition

Completion of the radar cycle with an autonomous system signal