4 UGS: Proximity, Cued Set, Intelligence Nodes, Network Fields - Essay Sample

Introduction

The four UGS include proximity, cued set, intelligence nodes, and network fields. Proximity sensors use electronically-powered devices, such as cameras, microphones, infrared detectors, and magnetometers, which, when activated, can alert the intelligence team of any targets moving in a predetermined critical area. The cued set uses the acoustic as well as the seismic sensors. Cued set usually triggers a camera, which, in turn, helps the security team to carry out proper monitoring of the available post to identify their specific categories. Such categories may include friend or foe and animal or weather conditions that help offset the sensor. On the other hand, intelligence nodes help security officers detect the appropriate target through the determination of the desired direction. Intelligent nodes enable officers to target movement inside and outside the monitored area effectively by using at least three microphones combined with geo to determine and ascertain directionality. Lastly, network fields use different nodes when creating and maintaining a monitored field. A real-life case where these four types of sensors can help in gathering intelligence would be the border of two different countries, especially those in conflicts. Such areas require full-time and comprehensive patrol. These sensors can allow various security teams, including the military, to conduct a comprehensive survey and react to the identified threats.

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Different Methods That Can Help in Identifying Human Being Positively

The five types of biomedical modalities that help identify people include facial, fingerprint, iris, voice, and palm techniques. The facial method entails using a unique scanner, which is a typical digital camera, to analyze the faces of suspects before matching them to a database containing their critical features. The resulting scan matches a standard rubric to prove that the targeted suspects are innocent and, in turn, allow them to pass through a given security system or to determine whether they are guilty. On the other hand, the fingerprint approach remains the most preferred technique of identifying people due to its accuracy and affordability. Investigators can find fingerprints from various places, including mobile phones, computers, entrances into buildings, and vehicle doors. The iris sensor detectors rely exclusively on the patterns existing in the eyes of the suspect, including the uniqueness of the cornea and its corresponding surface-based ridges. On the other hand, the palm vein technique captures the image of people’s vein pattern by using near-infrared rays, which penetrate the skin before making comparisons with the features presented by the suspect. Lastly, the voice recognition systems seek to validate a person's sound by relying on their voice patterns. These systems are highly accurate to the extent of helping investigators to identify the dimensions of people’s mouths and their vocal tracts.

Foreign Material Exploitation (FME), Its Purpose, and Real-Life Scenario

FME refers to a typical form of the intelligent collection in which investigators evaluate and analyze a wide range of foreign weapons as well as technologies acquired through undetermined approaches. This analysis aims to help develop appropriate strategies to not only detect but also counter and improve the source. FME is often critical to the country’s tactical as well as strategic battlefield success and safety. The best real-life scenario of using FME is that of the United States security forces to fight their enemies. Therefore, the United States’ FME operations' primary purpose is to not only counter attacks from enemies but also secure citizens and gain superiority in the battle field. Some of the methods used by the United States’ forces in FME include acquiring intelligence that leads to successful defeat of enemies through battlefield recoveries, cyberspace exchanges, covert, espionage, in person, and clandestine approaches. Alan Tunings, an English computer expert who helped in the cracking of Enigma code during the Second World War, provides the best example of effective use of FME approaches. Tunings’ success helped the Allies to decipher messages from Nazi and led to their victory during the war. Some of the challenges faced in these operations include depletion of resources, the complexity of enemies that, in turn, prefer using highly sophisticated approaches to fight back, and advances in technology that provide them with improved war machinery.

Types of Collection Activities that Would Support Medical Intelligence

The occurrence of war and disease outbreaks remains synonymous since the first historical battlefield. Findings from comparative studies indicate that medical intelligence has a positive impact on the battlefield because it leads to strategic aptitude, creates awareness and effective planning, national policy. Some of these medical collections include observations aimed to understand the conditions of the battlefield, gaining the strength to fight, staging of medical personnel, the presence of diseases and illness, and the medical health of the fighting forces alongside their commanders. Various collections, including Cyber- intelligence (CYBERINT), Open-source intelligence (OSINT), and Human intelligence (HUMINT) produce information from various first and second-hand sources, which, in turn, enables the Intelligence Community (IC) and Medical Intelligence (MEDINT) collectors to understand the unknown. HUMINT also allows the IC to gain intelligence from a first-hand source by carrying or gathering samples from the source that lived in the predetermined target area. This approach provides early warnings from hazards associated with naturally occurring disasters. IMINT and the Material Measurement and signature intelligence (MASINT) provide necessary clues to the staging of the missiles from enemies with the capacity to deliver nuclear as well as radiology destructions to the United States and its allies. Lastly, security teams can gather MASINT intelligence in different ways, including covert, clandestine operations, and the delivery of HUMINT sources.

Description of a Real-life example of a collection

Proximity sensors and biometrics provide the best examples of collection approaches utilized in contemporary real-life military departments. The most common forms of proximity sensors encountered daily are the Fiber Optic Sensor System (FOSS) and the Permitax underground sensor system. Military forces use the two collections to gather information and provide adequate security in their surroundings. FOSS and Permit tracking software (Permitrax) are also crucial when used in alarm monitors to detect possible intruders, despite their ability to pick up a large number of animals compared to other sources of danger. Military officers often attach the FOSS to a perimeter fence and prefer burying the Permitrax in the ground between an animal controlled fence and an alarmed fence. Such sensors often work effectively in a denial role concerning the assets put under guard and protection. These sensors produce a typical human response to help in ascertaining the presence of any forms of threats in the guarded areas upon detection of an intruder. However, FOSS and Permitrax sensors have a wide range of challenges that are critical to addressing. For instance, it is often difficult to categorize the alarms provided by these sensors as either animals or human intrusions. Hence, FOSS and Permitrax sensors provide constant responses, which may not intrude into a severe threat because most of them are as a result of animals walking or crossing through the area under investigation. Hence, it is critical to solving these challenges by deploying an improved camera system that allows for infrared and white or black hot imaging. Such cameras also enhance the vision of the detectors at night to help in determining the appropriate response.

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