SMART_ THING Bio-Tech
_____________________
1. Big Data
2. IOT
3. Artificial Inteligence
4. Deep Learning
5. Neura Link
6. Meta verse
7. Human Machine Adaptive
8. Robotic Controlling
9. Implant networking communication support
10.2 nucleus and five sensoring + e_SMART
11.Key Form at group Function espspecially Electronic
Key to pairs hole signal match sense .
I . The Artificial Eye
______________________
Human - like cyborg eye could power itself using sunlight
research and development a spherical that mimics structure of the human eye .
eye start :
1. the eyeball ( globe ) ; 3 main layers : the sclera , the ueva , and the retina .
2. the orbit ( the tissue surrounding the eye ball )
3. the adnexal ( acvesorry ) structures such as the eyelids and tear glands .
Artificial inteligence may further enhance the capabilities of imaging system
specialized imaging and tracking can give .
II . Electronic Skin Function and Application
______________________________________________
Electronic Skin , a system that allows ROBOTS to produce tactile sensations . it is not only simple in structure , but also can be processed into various shape , and can even be attached to the surface of the device like clothes , allowing the ROBOTS to perveive information such as the location , orientation , and hardness of the object. basic functions of electronic skin : from obtaining physical stimulation to distrinuted sensor array ; Preprocess the sensor signal ; the signal is transmitted wirelessly to higher level systems ( such a smart phones ), the electronic skin is equipped with highly sensistive conductive nanomaterials , which can accurately cause slight tremors of the electrical changes of the muscle group . at the same time , the electronic skin is extensible ( for examples , it support joint movement ) , and can even from integrated chemical sensors and biosensors . therefore electronic skin enable us to perceive different shape and textures , temperature changes , and different contact pressure levels .and this is an integrated , scalable sensor network that can provide tactile and thermal signals to the brain , allowing us to operate safely and effectively in surrounding environment . Inspired bybthese features of human skin , researches are working hard to create a flexible , scalable , and highly sensitive electronic device. therefore , the development of electronic skin has become a research hotspot , especially in the fields of intelligent robots and electronic medicine .
III . Adaptive Microelectronics , nanomaterials for support Adaptive Biotech
____________________________________________________________________________
Adaptive Microelectronics for substitution at to sensors and artificial muscles on the microscale , future micro electronics
will be able to take flexible muscles .
Flexible and adaptive microelectronics is considered and innovation driver for new and more effective biomedical applications . these include , for example , the treatment of damaged nerve bundles , chronic pain , or the control of artificial limbs. for this to work , close contact between electronics and neural tissues is essential for effective electrical and mechanical coupling . in addition , potential application arise from the production of tiny and flexible surgical tools . adaptive microelectronics are able tonposition them selves in a controlled manner , manipulate biological tissues, and respond to their environment by analyzing sensors signals. device whose motion can be controlled by electroactive polymer structures , a combination of these properties for application in a dynamic changing organism at the micrometer scale so far adaptive and inteligent microelectronics and respond to their environment by analyzing sensor signal .
IV . Adaptive SMART RADIO connecting between networks Adaptive BioTech
by reconfigurable AI meta surfaces
______________________________________________________________________
Future wireless networks are expected to constitute a distributed inteligent wireless communication , sensing , and computing platform , which will have the challenging requirement of interconnecting the physical and digital world in seamless and sustainable manner . two main factor : 1. control wireless communication , 2. current operation and consume of power ( Power Digital management system ) .
we must to connection adaptive biotech network wit reconfigurable Meta Surface and redesign network communication at real time .
V. Neurons and Forward Propagation in Neural Net
__________________________________________________
In human biogenetic networks there are several complications, especially in the bonding of neurons, dendrids and the cleavage phase, this is gradually starting to be applied to the internet of things network outside the standard network system of star links and delta links which are now in the form of artificial intelligence with several refinements and formulas , if the study of mathematics requires several statistical methods in network optimization as well as algebraic techniques including: permutations, combinations, variances, probability theory, probability theory, game theory, function series theory, and derivatives 1, 2 and third as real and virtual real time timers. as TX and RX network inverters follow advanced integrals for the direction of the network setup program , let 's look at some of the networking possibilities in the aspect of Artificial intelligence , machine learning , deep learning .
Introduction :
what is a Neural Network, how it is structured, what are the Optimizers and their relevance in neural networks. we will dive deep into how the neurons or the nodes for the Artificial Neural Network are estimated.
Also, we will see what are the techniques available to update the weights related to these nodes to converge faster to the minimum loss function.
Subject tech :
1. Estimation of Neurons or Nodes
2. Squashing of Neural Net
3. Forward Propagation
Applications of Artificial Neural Networks :
Have you ever wondered how the human brain functions? There’s a good possibility you learned about it in school. The function of ANN is the same as that of neurons in the human nervous system. Let’s get this Artificial Neural Networks lesson started. Artificial Neural Networks (ANNs) are currently the most widely used Machine Learning techniques. These Neural Networks were first developed in the 1970s, but due to recent increases in computing power, they have become extremely popular, and they are now found almost everywhere. Neural Networks power the intelligent interface that keeps you engaged in every program you use.
A computational network grounded on natural neural networks that construct the structure of the human brain is known as an artificial neural network. Artificial neural networks, like human smarts, have neurons that are coupled to each other in different layers of the networks.
In the sphere of machine literacy, artificial neural networks are the most important literacy models. They can arguably negotiate every exertion that the human brain can, still, they may work in a different way than a real human brain.
What is Artificial Neural Network? :
The term “Artificial Neural Network” is derived from biological neural networks, which define the structure of the human brain. Artificial neural networks, like the human brain, have neurons in multiple layers that are connected to one another. These neurons are referred to as nodes.
In ANN ( Artificial Neural Networks ) , dendrites from biological neural networks represent inputs, cell nuclei represent nodes, synapses represent weights, and axons represent the output.
ANNs are nonlinear statistical models that demonstrate a complex relationship between inputs and outputs in order to uncover a new pattern. Artificial neural networks are used for a range of applications, including image recognition, speech recognition, machine translation, and medical diagnosis.
The fact that ANN learns from sample data sets is a significant advantage. The most typical application of ANN is for random function approximation. With these types of technologies, one can arrive at solutions that specify the distribution in a cost-effective manner. ANN can also offer an output result based on a sample of data rather than the complete dataset. ANNs can be used to improve existing data analysis methods due to their high prediction capabilities.
Artificial Neural Networks Architecture :
A node layer contains an input layer, one or more hidden layers, and an output layer in ANNs. Each node, or artificial neuron, has its own weight and threshold and is connected to the others. When a node’s output hits a certain threshold, it is activated, and data is sent to the next tier of the network. No data is sent to the next tier of the network if this is not the case.
The performance of a neural network is influenced by a number of parameters and hyperparameters. The output of ANNs is mostly determined by these variables. Weights, biases, learning rate, batch size, and other parameters are among them. Each node in the ANN has a certain amount of weight.
Weights are assigned to each node in the network. The weighted sum of the inputs and the bias is calculated using a transfer function. To generate the output, the weighted total is supplied as an input to an activation function. Activation functions determine whether or not a node should fire. Those who are fired are the only ones who make it to the output layer. There are several activation functions that can be used depending on the type of task we’re doing. Sigmoid, RELU, Softmax, tanh, etc. are some of the most commonly utilized activation functions in Artificial Neural Networks.
Working on Artificial Neural Networks :
A neuron is essentially a node with numerous inputs and one output, while a neural network is made up of many interconnected neurons. To execute their jobs, neural networks must go through a ‘learning phase,’ in which they must learn to correlate incoming and outgoing signals. They then start working, receiving input data and generating output signals based on the accumulated data.
The information is taken in numerical form by the input node. The data represents an activation value, with a number assigned to each node. The stronger the activation, the higher the number. The activation value is passed to the next node based on weights and the activation function. Each node calculates and updates the weighted sum based on the transfer function (activation function). It then performs an activation function. This function is specific to this neuron. The neuron then decides whether or not it needs to convey the signal. The signal extension is determined by the weights being adjusted by the ANN.
The activation travels across the network until it reaches the destination node. The information is shared in an understandable manner by the output layer. The network compares the output and expected output using the cost function. The discrepancy between the actual and projected values is referred to as the cost function. The lower the cost function, the closer the result is to the desired one.
The cost function can be minimized using one of two methods:
1. Back Propagation: Backpropagation is at the heart of neural network training. It is the most important way for neural networks to learn. The data enters the input layer and travels across the network to the output layer. The cost function will then equate the output with the intended output. If the cost function’s value is high, the information is returned, and the neural network learns to reduce the cost function’s value by modifying the weights. The error rate is reduced and the model becomes definite when the weights are properly adjusted.
2. Forward Propagation: The data enters the input layer and travels across the network to the output value. The value is compared to the expected results by the user. Calculating mistakes and transmitting information backwards is the next stage. The user can now train the neural network and update the weights. The user can alter weights simultaneously thanks to the structured algorithm. It will assist the user in determining which neural network weight is accountable for the error.
Types of Artificial Neural Network
There are two important types of ANNs –
1) FeedForward Neural Network:
The information flow in feedforward ANNs is only in one direction. That is, data flows from the input layer to the concealed layer and then to the output layer. There are no feedback loops. These neural networks are commonly employed in supervised learning for tasks like classification and image recognition. We use them when the data is not in consecutive order. Feedforward networks are comparable to convolutional neural networks (CNNs).
2) Feedback Neural Network:
The feedback loops are an element of the feedback ANNs. Such neural networks, such as recurrent neural networks, are mostly used for memory retention. These networks are best used in situations where the data is sequential or time-dependent. The feedback loops define recurrent neural networks (RNNs).
ANN Learning Techniques
1. Supervised Learning: The user trains the model with labelled data in this learning method. It indicates that some data has already been tagged with the proper responses. Learning that takes place in the presence of a supervisor is referred to as supervised learning.
2. Unsupervised Learning: The model does not require supervision in this learning. It usually deals with data that hasn’t been labelled. The user gives permission for the model to categorize the data on its own. It organizes the data based on similarities and patterns without requiring any prior data training.
3. Reinforcement Learning: The output value is unknown in this case, but the network provides feedback on whether it is correct or incorrect. It’s referred to as “Semi-Supervised Learning.”
Artificial Neural Network Applications
Following are some important ANN Applications –
1. Speech Recognition: Speech recognition relies heavily on artificial neural networks (ANNs). Earlier speech recognition models used statistical models such as Hidden Markov Models. With the introduction of deep learning, several forms of neural networks have become the only way to acquire a precise classification.
2. Handwritten Character Recognition: ANNs are used to recognize handwritten characters. Handwritten characters can be in the form of letters or digits, and neural networks have been trained to recognize them.
3. Signature Classification: We employ artificial neural networks to recognize signatures and categorize them according to the person’s class when developing these authentication systems. Furthermore, neural networks can determine whether or not a signature is genuine.
4. Medical: It can be used to detect cancer cells and analyze MRI pictures in order to provide detailed results.
5. Adaptive technology .
6. Simulation of image Push and Pull .
7. Networking digitally Intelligence TX and RX .
8. Computer Program Language .
9. Decision analysis .
10.Forecasting and Probability Prosentage .
Standard Formulation :
An artificial neural network (ANN) is a data processing paradigm based on how biological nervous systems, such as the brain, process data.
Because of their universal approximation capabilities and flexible structure, ANNs are effective data-driven modelling tools for nonlinear systems dynamic modelling and identification.
It provides a framework for combining different machine learning algorithms to process large amounts of data. Without task-specific instructions, a neural network can “learn” to execute tasks by examining examples.
Future Biotech to become living things
_______________________________________
Evidence , Analasys , Sensor , Interface , Distance and Time , Space and Time in Flying Object , Maneuvers , Motion Sequence Schemes , Probability analysis , Locking Targets Automatically , Calculate Direction Chance , Launch Weapon Trail , Synchronize Tracker and Target , Go to Match , STAR .
Welcome and come on to lets go , we need to study and practical about Evidence to detect fast and undetected flying targets can use 4 TMUs :
1. Moving Radar Active Electronically - Scanned
2. Radio Frequency ( RF ) Jammer
3. Electro Optical Targeting POD ( EO - TGP )
4. Infrared Search and Track ( IR_ST )
Of All That Efficency , Effectiveness , Quality , and the best electronic methods are Block chain that match and integrate .
10.24 : 20 February 2022
( Gen . Mac Tech ( EASID STAR ) )
Case in Bird free Moving to be integrated
Case at Rain , Cloud and Flash
locking objects is by means of electronic techniques that are efficient, effective in quality and understand:
1. The right space and time;
2. the courage to take and decide which electronic key is right;
3. Create and analyze scatter matrix patterns in real time;
4. Work patterns and goals for the future (time ahead), analysis of targets in space and time in the possible motion of space and time. take a look at the concepts of space and time and their possibilities in the EINSTEIN Protocol.
Electronic circuit compilation , Graphing , Elements , Location in one shoot monitoring .
___________________________________________
Crab Tactical ::
Crab is a working animal, working by digging holes on the edge of the water and moving on the water's edge, working individually but still on the edge of the water. Wild but Smart Animal .
The intersection of High Tech and defense
____________________________________________
Today it is more important than ever to keep the supply of processing solutions across the sensor chain trusted and secure. Silicon Valley technology leaders, such as Intel, Xilinx and Nvidia, are making significant investments in our U.S. foundry (or fab) infrastructure to enable the security and supply of microelectronics. But that is only part of the story. It is also necessary to extend the trusted, secure supply chain to companies that adapt this microelectronics technology to the very specific requirements of the aerospace and defense (A&D) industry.
It was May 24, 1844 when Samuel Morse transmitted his famous telegraph message “What hath God wrought” from Washington to Baltimore. Twenty years later, the U.S. Military Telegraph Corps had trained 1,200 operators and strung 4,000 miles of telegraph wire, which increased to over 15,000 miles by the end of the Civil War. While long-distance communication proved a significant advantage for the Union armies, it also opened the door for wiretapping. It was these early experiences that demonstrated the impact of surveillance and set the foundations of electronic warfare (EW).
Over the last century, electronic warfare has had an increasing role in shaping the outcomes of conflicts across the globe; however, few people appreciate its significance and fewer still understand the technology. In this first post of our electronic warfare blog series, we present a brief history of the technology behind electronic warfare. Just as older cars are more intuitive to repair, the early EW systems are easier to understand.
While wire-tapping was used during the Civil War, it wasn’t until the 20th Century that the field of electronic warfare began to mature. By the start of World War I, the need to for rapid communication over long distances became even more critical—leading to significant advances in the emerging field of signal intelligence. Immediately following the declaration of war, the British severed Germany’s undersea cables, forcing them to rely on telegraph and radio—both vulnerable to interception. To protect the content of the transmissions, Germany began expanding on its cryptography capabilities.
During World War II, the use of the electromagnetic spectrum played an even larger role. It was quickly discovered that by flying bombing runs at night, the bomber crews were protected from anti-aircraft fire. However, locating targets at night was no easy feat.
The Lorenz System
Prior to the start of the war, Germany had invested in commercial RF systems to support blind landings at airports with reduced visibility. Called the Lorenz System, it operated by switching a signal between two antenna elements—one pointed slightly more towards the left and the other towards the right. Instead of equal pulse lengths on each antenna element, the switch sent the signal to the right element for a longer period of time—creating a long pulse on the right antenna and a short pulse on the left. As the plane approached the runway, the pilots would hear short tones if they were too far to the left and long tones if they were too far to the right. When they were properly aligned, they would receive both signals and hear a continuous tone.
During the war, this system was modified to use large, high-directivity antennas to transmit long-range, narrow beams. Two systems were built such that the beams could be steered to intersect directly over the target. By following one beam, the pilots listened for the second signal to know when they were over the target and timed the release of bombs. This simple system drastically increased the effectiveness of the night raids over England and made the development of a system to counter the beams a top priority.
Upon discovery of the German system, the British developed a method to interfere with the beams. Using high power transmitters, the British would broadcast the same long-tone pulse signal used by the German system. When this signal was superimposed on the same frequencies, the German aircraft would never hear the steady tone and would be unable to simply follow the beam to their target. Other methods of jamming the German beams involved the use of a BBC transmitter to broadcast a steady tone on the same frequency. This CW signal filled in the breaks between pulses rendering the German system unusable.
As the British began their bombing campaigns over Germany, they too needed a method to locate targets at night. Their approach was a similar system that used two transmitters; each broadcasting a train of pulses. By measuring the time difference between received pulses, the pilots were able to navigate. However, this system was also susceptible to jamming.
The Emergence of Radar
In addition to the jamming of their navigational aids, the British bombers faced a new threat—German fighter pilots that were able to track the British planes using radar. One type of radar encountered by the British was a land-based early warning system that alerted the Germans to an approaching attack and also provided details such as the number of aircraft. Through intercepted radio communications and direct raids on radar installations, the British were able to learn the details of these systems—such as the operational frequencies—that enabled them to develop the technology to combat them.
Instead of simply jamming the radar, the allies developed a system that would receive the radar signals, amplify them, and re-transmit them to the radar receiver. These additional signals were perceived by the radar system as reflections from additional aircraft. Employing this technology, a single aircraft could function as a decoy and pull resources away from other areas. However, these early systems were dependent on the radar frequency, and by using multiple radars with different frequencies, it became much more challenging to deceive them.
To respond to the radars that operated over a wider band of frequencies, the Allies developed a jamming system that would transmit noise in various frequencies across the radar bands. This was effective until the Germans started using additional frequencies for the radar. Instead of jamming the radar itself, the allies discovered they could jam the communication signals between the radar operators and the fighter pilots. By sweeping a receiver over a broad frequency range, the British were able to determine the specific frequency that the Germans were using to communicate then transmit noise on that frequency.
Continued Technology Development
This back-and-forth cycle of inventing new ways to use the electromagnetic spectrum and developing the means to counter these new technologies continued through World War II and the Cold War. Even in the early days it was not sufficient to just have the best technology—in order to stay ahead, the technology required constant updates. Instead of deploying a system that could operate independently for a decade, EW systems required consistent modification to address emerging threats.
Now, over a century and a half after that famous telegraph message, the invisible battle over control of the electromagnetic spectrum continues. The ability to communicate, track objects with radar, and to use GNSS to navigate have become critical to success on the battlefield. Additionally, a major advantage is achieved by disrupting an adversary’s ability to communicate, use radar and use GNSS. With today’s environment of rapid technology growth—such as compact GaN, high speed processing and AI—the battle for EW superiority is at its fasted pace yet.
In the next post in this series on electronic warfare we provide an overview of radar technology before continuing on with posts on electronic support, electronic attack and electronic protection.
Glass Door ( Transpose ) _ Startrek Tech
________________________________________
10 Star Trek Gadgets That Have Beamed Into Reality
___________________________________________
For the past half-century, Star Trek has offered fans a vision of the future by taking them on a deep voyage into the imagination to explore strange new worlds and seek out new life and civilizations, all while boldly going where no man or woman has gone before.
If there’s one thing that we have learned from these televised trips, it’s that space is filled with so many fictional technological wonders, some of which may have influenced real-world scientific developments, discoveries, and inventions- But is it really Star Trek that has helped to make it so?
Grab a cup of earl grey tea (hot!) from the replicator and join us on The Bridge as we assess the data from Starfleet’s most classified files to identify which technologies, gadgets, and services have beamed into existence after appearing in the science fiction franchise.
1. Communicators
In the fictional universe of Star Trek, the crew of the Starship Enterprise use communicators to contact others, both onboard and off-board the ship. The handheld device allows crew members to contact other starships in orbit, which proves particularly useful when faced with challenging situations.
For years, people have been using real-life communicators, otherwise known as cell phones, to regularly talk to people. Martin Cooper, the man credited with the invention of the first handheld cellular phone in the 1970s, has stated that his prototypes for the device were inspired by the original Star Trek tech.
2. Replicators
In the Star Trek universe, the replicator has a number of functions and purposes, with some proving to be more popular than others. For instance, Captain Jean-Luc Picard frequently uses the machine to order a cup of “Tea, Earl Grey, Hot,” which is then produced from the ship’s reserves.
These days, real-world replicators exist in the form of 3D printers, which build three-dimensional objects from a computer-aided design model. While they might be lacking the capability to deliver the perfect brew, these devices have a range of practical processes in order to manufacture complex objects.
3. Telepresence
Crewmembers aboard the Starship Enterprise are able to access special telepresence technologies that allow one person to connect with another in a way that makes both parties feel as if they are present in the same location, even though they might in fact be separated by time and space.
Since 1966, this invention has become an increasingly common and useful communication tool in real-world scenarios. In particular, Cisco’s telepresence system offers an authentic experience by mirroring the surroundings of multiple users in a videoconference to make it seem like they’re together.
4. Tricorders
The tricorder is another important piece of equipment seen in the Star Trek original series. The multifunctional handheld device can be used to sensor scan an environment or an individual and record data for analysis. In particular, Dr. Leonard “Bones” McCoy often uses it to diagnose and cure patients.
Here on Earth, a number of parallel products have been created to mimic the capabilities of the Star Trek device. For instance, the DNA Lab by QuantuMDx can scan a patient and deliver a diagnosis in 15 minutes, while NASA employs LOCAD to measure organisms at the International Space Station.
5. Universal Translators
While Captain Kirk and his crew planet-hop aboard the Starship Enterprise, the space squad make contact with several different alien races and species, originating from a variety of strange new worlds, so the universal translator is an essential piece of kit to decode these foreign languages.
Today, there are numerous technologies working to achieve the same outcome, though admittedly many have not reached Starfleet’s level quite yet. A lot of companies, however, are making significant progress in developing more advanced software that can translate complex sentences, especially via apps.
6. Hypospray
Hypospray is one of the gadgets that is commonly used in Star Trek because Leonard “Bones” McCoy is a doctor, not a time-waster, and this medical device speeds up the process of administering medicine by injecting it through the skin using a non-invasive transport mechanism.
In reality, jet injectors have been in existence since the 1960s, and though syringes have not yet been phased out, new technology is constantly being developed. MIT engineered a next-generation device that could make a trip to the doctor’s office a less painful experience in the not-too-distant future.
7. Tablet Computers
Personal Access Display Devices, or PADDs, are shown to be in widespread use since at least the 22nd century in the Star Trek universe. The futuristic computer interface is used by space-faring organizations to punch in coordinates for star systems, as well as being a recreational tool aboard the ship.
Over the years, we have witnessed real-world computers evolve into slim-line, touchscreen devices with significant computing power. Apple’s first-generation iPad helped to bring the device further into the mainstream in 2010. Now, many rely on tablet computers for both work and leisure activities.
8. Phasers
In Star Trek, phased array pulsed energy projectiles, aka phasers, are available in a wide range of sizes and styles, ranging from handheld firearms to starship-mounted weapons, which can discharge beams, slice materials, trigger explosions, and, most famously, be set to stun.
In the current world, comparable alternatives have been in use since the 1970s. Tasers and stun guns work on a similar principle to Captain Kirk’s primary weapon, however, these energy weapons have to be activated in close range to the target (the Borg or otherwise) to stop them in their tracks.
9. Tractor Beams
The high-powered tractor beams in Star Trek are often used by starships and space stations to control and physically maneuver objects in deep space, which is particularly useful for towing ships in need of assistance to safety and pushing ships out of dangerous situations.
In real life, optical tweezers operate in a comparable fashion to the graviton beams that commonly appear in the sci-fi genre, though on a much smaller scale. Rather than hauling ships from one location to another, these scientific instruments use laser beams of light to hold and move microscopic objects.
10. Warp Drive
Warp Drive is one of the most iconic technologies used in Star Trek voyages. It works by generating warp fields to envelop the Starship Enterprise in a subspace bubble to distort the spacetime continuum and propel the vessel forward at a velocity that is faster than the speed of light.
Interestingly, NASA has indicated that this completely fictional concept could actually be possible. In recent years, the scientific community has become increasingly excited about the concept of a warp propulsion system, which could provide the blueprints for ultrafast interplanetary travel in the future.
______________________________________________
Transporter and Electronic Glass Door
