Network Planning For Multi Robot3

“I can do things you cannot, you can do things I cannot; together we can do great

The networking of the system is recommended after a system study and the fact that there has been a 100% expansion of the demand for the system- from 5 to 50 have been noted. It is also shown that as of now there are machines that are stand alone with windows 7 operating system. The task is to provide a network connectivity that would provide direct connections between the employees, and be centralized in the operation. This essentially requires the creation of a network. This means that all the computers must be installed with a network card and this would be the case with windows 7. The question then comes is if there must be windows networking or use other protocols. We can also partly use the most modern practical solutions.

It starts by calculating the shortest path between one node at first, then it checks for the path between two nodes, and so on proceeds in each iteration. I have put the outer loop as V-1, where V is the total number of vertices that is present in the network. In our case, V=6. Therefore, there must be V-1, which is 5 iterations to obtain the optimal shortest path to each of the node from the source node.

According to Joint Publication 3-30, “joint air operations are normally conducted using centralized control and decentralized execution” (Joint Chiefs of Staff, 2014, p. I-3).

After the September 11, 2001, terrorist attack on the Twin Towers, the United States (US) declared a global war on terrorism. Afghanistan was the first battleground with Operation ENDURING FREEDOM; US forces engaged enemy combatants in effort to deter, isolate and destroy, terrorist networks. In the early stages, unified land operations consisted mostly of special operation forces (SOF) with support of the US Airforce, US Navy, allies and Afghan Security Forces (ASF). This early collation was a joint effort that proved successful during the early phases of the operation. Engagement of enemy forces successfully deterred their operational capabilities and efforts that pushed enemy forces into Shahi Kot Valley. This concentration of enemy forces in Shahi Kot Valley fostered the development of Operation ANACONDA, a joint, interagency, intergovernmental, multinational (JIIM) operation. The joint operations planning process (JOPP), employed during the operational design failed to achieve the desired combat power necessary for successful shaping operations and decisive action.

The Military Decision Making Process (MDMP) is a repeating plan of procedures used to understand the situation and mission. The MDMP is used to develop a course of action and produce an operation plan or order. The MDMP integrates the commander, staff, subordinate, headquarters personnel, and other stakeholders involved in the planning process. We need the MDMP because it allows the leader to execute orders and planning decisions. The MDMP aids in the collaboration and planning with the higher headquarters. The higher headquarters

"The first step of the MDMP is to receive the mission from higher headquarters, usually in the form of a written order" (An artillerization of the military decision making process (MDMP),

A system within a system is what comes to mind after reading this week’s reading from the textbook. “Multiagency Coordination Systems (MAC’S) is defined as a system of facilities, equipment, personnel, procedures, and communications integrated into a common system that is responsible for coordinating and supporting domestic incident management activities” (Walsh,2012). It has been interesting reading the information because it relates so much to the military. Because of that experience the information is relatable and exciting, that previous part of life is missed and will always be a part of life for me. The Multiagency Coordination System is located inside the Emergency Operations Center. It combines “the ICS Logistics, Planning, and Finance/Administration

There is increasing interest in using robotic devices to assist in movement training following neurologic injuries such as stroke and spinal cord injury. This paper reviews control strategies for robotic therapy devices. Several categories of strategies have been proposed, including, assistive, challenge-based, haptic simulation, and coaching. The greatest amount of work has been done on developing assistive strategies, and thus the majority of this review summarizes techniques for implementing assistive strategies, including impedance-, counterbalance-, and EMG- based controllers, as well as adaptive controllers that modify control parameters based on ongoing participant performance. Clinical evidence regarding the relative effectiveness of

Purpose: Study and analysis of the conformity indices and the integral dose as evaluation tools in head and neck tumors for four "iterative" three-dimensional conformal radiation therapy techniques,(3DCRT), which are considered "Forward treatment planning intensity modulated radiation therapy". Materials and Methods: Fifteen patients with different advanced head and neck tumors (oropharynx, hypopharynx, larynx ) were randomly selected for this comparative prospective study of 3d planning techniques. For each patient four planning techniques were designed using Field-in-Field (FIF),Revised Bellinzona (RB), Forward-Planned Multisegments (FPMS) and Conpas planning techniques. Dosimetric Analysis: The four competing planning techniques were compared in terms of PTV coverage,

Figure \ref{fig:exper} shows the path plan of the CoBot for navigating to the elevator. In this example the CoBot waits for the people near by to help it access the elevator using its Symbiotic Autonomy, it asks the user to press the elevator button, let it know if the elevator has arrived and also exits the elevator by asking the people nearby to confirm if it has reached the correct floor.

The two main features that differentiate cooperative transmission schemes from the conventional non-cooperative transmissions systems are: the use of multiple user's resources to transmit the message of a single source; and a proper combination of signals from multiple cooperating users at the destination. The transmission in cooperative network usually involves two phases of transmission: coordination phase, where users exchange their own source data and control messages with each other and/or the destination, and a cooperation phase, where the users cooperatively retransmit their messages to the destination \cite{YWPch2, YHJch2}. Fig. 1 illustrates a typical cooperative network in the uplink (UL) of a mobile communication system that consists

The enemy AI needs to make decisions based on where the player is located, and attempt to move towards the player. This can only be accomplished through a series of ‘Yes and No’, or ‘True and False’, trials. The AI will ask questions such as, “Is the player above me? Is the player below me?” and so forth, therefore, the tree will need to generate and decide on finding the best path to take to approach the player. In order to achieve this, a data structure known as a Decision Tree is required.

In the view of global security,(2011) The military decision making process abbreviated as MDMP is a planning model that establishes procedures for analyzing a mission, developing and comparing courses of action(COA) that are best suited to accomplish the higher commander’s intention and mission. The MDMP comprise of seven stages and each stage depends on the previous step to produce its own output. This means that a mistake in the early stage will affect all the other stages that follow. These steps include:

The recent technology in unmanned aerial vehicles (UAVs) also known as drones is developing its function in providing delivery services for companies. It is a type of aircraft that is operated by ‘pilots’ that control it from the ground; this does not require on board crew or passengers. Through the development of this technology, concerned people lead into tons of issues about this type of delivery system. The purpose of this report is to provide potential solutions using the application of the management function, planning. This will cover how planning management function approach will further progress and resolve the demands of this technology.