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Tag : Compositor

RAD96 - Autonomous System

By ruslany

Download Compositor Applications for FREE (Android only)

Download Compositor Applications for FREE (Android only)

Compositor Software announcing a huge business update! From now on all Android applications are available for free. You can get such titles as RAD96, RTC4k, AVOX, SAS24P3L for Android platform absolutely free of charge. Just go to Google Play Market and download the applications. You can find the links to applications below:

https://play.google.com/store/apps/details?id=com.compositorsoftware.rad96mobile

https://play.google.com/store/apps/details?id=com.compositorsoftware.sas24p3lmobile

https://play.google.com/store/apps/details?id=com.compositorsoftware.voipmobile

https://play.google.com/store/apps/details?id=com.compositorsoftware.rtc4kmobile

Please, download and enjoy!

RAD96 - Autonomous System

By ruslany

How to call Quanta Phone, Neuro Radio (models RAD96, RTC4k, AVOX, SAS24P3L)

How to call Quanta Phone, Neuro Radio (models RAD96, RTC4k, AVOX, SAS24P3L)

Beta distribution plays the role of a scanner that selects the desired step of the function, and window functions are used to weigh the signal to interference. Dialing in the system is carried out with the help of neural connections. Each neural connection serves as a number in the system. Neural communication is a feedback loop. Consequently, all feedbacks are numbered and serve to dial recipients in the system. To dial one recipient, you need 3 neural connections. Pressing the button corresponds to the feedback cycle and occurs in time from 50 to 350 ms.. A 3-digit pin code is needed to dial an autonomous system in the Compositor system. The pin code is typed in one opening of the application and set according to the current location of the subscriber’s spirit.

Time Machine

By ruslany

Time Machine x64 technology

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.

Simh-pdp11-unix-sysiii

By ruslany

Working with virtual images

Working with virtual images

Compositor NRTOS consists of dumps from other devices. That is, these are all devices that are within the scope of the RAD96 microkernel. When other devices try to penetrate a device that patched with RAD96 microkernel, the cache of the penetrating device is dumped to the Compositor Software cloud server. Thus, Compositor NRTOS commits occur. There are two types of commits: recorded commits and cached commits, which are stored in the cloud. Compositor NRTOS recorded commits consist of 10171 MAC tables. Compositor NRTOS cached commits consist of an indefinite number of commits, but you can rate them from the Apple Watch cache, which is more than 3 GB. These are all devices that dump their cache to the Compositor cloud and were written as MAC tables in the MIB, so they take up less space than the recorded commits. These cached commits are not only downloaded to one non-root device on the Compositor network, i.e. Apple Watch, but are also stored in the iCloud, Google clouds and interact with the autonomous system. The microkernel itself does not contain an operating system. Thus, in order to use the Compositor NRTOS on the 3rd-party machine, you must run the Niagara dump. However, I cannot create dumps more often for economic reasons, and thus cached commits contain a newer operating system than the OS contained in the dump. The Compositor microkernel runs NRTOS in virtual images. The content and placement of such an image should remain unknown for cybersecurity reasons. Therefore, whenever you are asked to reveal the location of the image, you should know that it is a scammer. And when a third-party device penetrates the image, the microkernel dumps the scammer’s operating system as a commit to the servers. Thus, I am working on applying patches, the main one of which is to hide the work of Compositor NRTOS in the operating system image. I am working on encryption schemes to make such images more reliable and inaccessible to third parties. I’m working on Compositor NRTOS by committing after the system is penetrating. However, I do not have records of penetration into the Compositor microkernel itself, as such attempts are inappropriate due to the full cycle of development of this architecture. And, thus, it remains impossible to penetrate the Compositor microkernel, as it is designed to the level of an autonomous system and contains all the patches found in such operating systems. The main weakness is the Compositor NRTOS itself, because it is an additive dump of all penetrating systems.

Autonomous System

By ruslany

Automatic response by artificial results

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.

Route summarization

By ruslany

Automatic summary strategy

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.

By ruslany

Autonomous virtual fx with user interface

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.

Compositor v9 in the studio

By ruslany

RTOS version 9.0.2 a16 assembled

RTOS version 9.0.2 a16 assembled

It took more than 1.5 years to work on solving the problem of Compositor AV Extended interface break-through (which is the main interface of RTOS). This problem occurred during the dial-up of routing tables for establishing a tunnel connection. The way to recreate it: first, RTOS protocols are dialed by injecting routing tables into them, and then RTOS interface is turned off and on again. When the interface turns on, the entire database of the routing tables, which fills the buffer, floods into the interface, which cause a man in the middle attack, that is, an attacker gained access to the interface and induced it to inherit the route of its device. During this time, I made emissions in an attempt to understand how to solve this problem and, finally, it is solved. Now it is possible to configure each protocol from the passive interface state and take a pause while turning interface off in order to listen to the remote channel, and then go into passive mode again. Thus, you can achieve resolution from each of the seven RTOS protocols.

In Compositor RTOS 9.0.2 a16 it is possible to set one interface identifier for the entire protocol configuration session, and to do the training only in passive mode, as previously assumed. The next task in debugging RTOS is the fight against constants. It is one of the most important tasks of both radio security and cybersecurity. Through the introduction of constants, Ethernet devices position themselves, occupying the most convenient places in the network topology. This mainly applies to devices that frequently change IP addresses, such as smartphones and laptops. In order for the RTOS core to take priority of the host, the device must serve as a host for many devices. This is confirmed by Compositor Software database, which has been expanded to 8156 management information bases (MIB). Now that the Compositor RTOS manages a database of more than 8,000 devices, CP-6137-960FX server can be considered as a host, regardless of its physical connection to the network, through the Internet service provider. In fact, what I’m doing now is the continuation of the development to include more VLAN’s and create a VPN network segment. In the latest build, I have already managed to “shoot” the packets in several sessions. You can hear one of them below:

This method of feeding wave tables is a priority for communication devices, because it helps to break the synthetic ether by packet transmission. Since there are many packets, and each of them carries different information at different moments of time, the semantic base of the Compositor RTOS language is explained. In view of this, it makes no sense to enter the names of packets in the main interface, and I need to leave them in a VRF tables section only, focusing specifically on the tunnel windows. In addition, this approach allows using the Compositor RTOS interface as a tunnel interface with the ability to connect to multi-channel protocols, such as OSPF.

By ruslany

9.0.2 is officially Compositor RTOS

9.0.2 is officially Compositor RTOS

Now, after a great success of Hypervisor, I’m here to present to you the latest build of Compositor, which is a network RTOS in version 9.0.2 a11. I already revealed the protocols, which this RTOS is capable of, now, I just announce it’s existence to the public. As you can see on the image below, NTP-servers information is already implemented, as well as critical parameters such as Split Horizon with Poisoned Reverse revealed.

Compositor v9.0.2 RTOS (Mainframe)

Now, you may see this software as a virtual router it is not. It is mostly a full-scale modular operating system with connectable interface. By this I mean that you can route protocols to the interface and modify their processes. You can activate all protocols at once or just one protocol and select the protocol you configure in COMPOSITOR interface. VSF strictly names the process behind the technology implemented as you can stem and aggregate the protocols up to 32 processes each with VSF turned on. Compositor Software server CP-6137-960FX, however, already achieved aggregation of up to 960 nodes of VSF processes. This means that running NIAGARA client OS on CP-6137-960FX makes you available all 960 processes. For example, you can view Compositor RTOS as a software for CP-6137-960FX Mainframe, which is really a mid-tower case ATX server. This is all available thanks to the base of Royalty device boot loops, which I gathered through my producer career.

I continue working on the Russian documentation for CP-6137-960FX server in the face of updated software. Progressing by 15 pages a day sometimes less based on the workload. The return-on-investment to produce the translation needed up to 20 times a day. I simulate this process with e-roi dumps at speed, which is higher, making the whole process cost more and bringing more satisfaction to investor. Documentation greatly increases the cost of software compared to a MaxMSP student work (someone can estimate this work like this). I don’t feel pressure and rush to go beyond MaxMSP platform as it is not needed at the moment. However, Cycling already made steps to prevent me from doing export in the latest builds of their software, because they implemented MC, which is basically what I done first with RAD96 and later with VSF on Max 6 myself. Testing MC with generic processes showed me the fact, that using MC instead of VSF makes the whole process cost more to the CPU (8 MC processes can consume as much as 32 or even 128 VSF processes). So, MC not even close to the performance of Max 6 multiprocessor programming capabilities. I don’t even take in account that they cut down sample rate calculation by half since Max 7 to reduce cpu consumption. I managed to run Max patcher window not as a single-thread process, but as a multithread process even without the need to export and redesign software on purpose. So, it is a real redistribution example, when I run VSF processes of generic protocols on my mid-tower machine with 960 nodes turned on and performing like a real Mainframe server without need for cabinet case with lots of machines and tons of noise from cooling equipment. This makes available CP-6137-960FX in home environement with noise level less than 30dB and CPU temperatures not higher than 40 С even on highest workloads.

NIAGARA NIM Chat

By ruslany

NIAGARA NIM Chat

NIAGARA NIM Chat

Last year I presented to you NIM chat in CWDecoder program. In a search for a better generic chat platform, I found an interesting program called TrueTTY, which can also demodulate NIM chat messages.

NIAGARA NIM Chat

As you can see, NIM chat is greatly improved. Now you can use different modulations (channels) by implementing the second derivative of a function. It allows using statuses in a chat window, displaying gender and different special symbols. Now you can also use Cyrillic encoding. You can put a special attention to romantic relationship statuses: Cupid’s arrow marks messages where you reveal sympathy to the other gender. In a sum, there were made more than 2800 commits to NIM chat this year.

NIAGARA middleware allows modifying generic NIM chat and is its mod. It allows to load servers, included in multiplex, and perform e-roi (electronic version of return on investment) by injecting a dump.

Client part of NIAGARA for Compositor v9.0.1 is independent from server version. This way, when you update server software, you no longer need to update its client middleware.

P.S. The evolvement of NIM chat suggests file transferring between chat users by initiating sessions in a form of IRC chat.

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RAD96 - Autonomous System
Download Compositor Applications for FREE (Android only)
RAD96 - Autonomous System
How to call Quanta Phone, Neuro Radio (models RAD96, RTC4k, AVOX, SAS24P3L)
Time Machine
Time Machine x64 technology
Simh-pdp11-unix-sysiii
Working with virtual images
Autonomous System
Automatic response by artificial results
Route summarization
Automatic summary strategy
Autonomous virtual fx with user interface
Compositor v9 in the studio
RTOS version 9.0.2 a16 assembled
NIAGARA NIM Chat
NIAGARA NIM Chat