Muhammad Yasin

• King Faisal University

Collaborative robots represent an evolution in the field of swarm robotics that is pervasive in modern industrial undertakings from manufacturing to exploration. Though there has been much work on path planning for autonomous robots employing floor plans, energy-efficient navigation of autonomous robots in unknown environments is gaining traction....

The focus of this work is to present a novel methodology utilizing the classical SLAM technique and integrating with the swarm agents for localizing, guiding, and retrieving the agents towards the optimal path while using only necessary tracker-based information between the agents. While navigating in an unknown environment with no-prior map inform...

The focus of this work is to present a novel methodology utilizing the classical SLAM technique and integrating with the swarm agents for localizing, guiding, and retrieving the agents towards the optimal path while using only necessary tracker-based information between the agents. While navigating in an unknown environment with no-prior map inform...

This work focuses on low-energy collision avoidance and formation maintenance in autonomous swarms of drones. Here, the two main problems are: 1) how to avoid collisions by temporarily breaking the formation, i.e., collision avoidance reformation, and 2) how do such reformation while minimizing the deviation resulting in minimization of the overall...

The focus of this work is to present a novel methodology for optimal distribution of a swarm formation on either side of an obstacle, when evading the obstacle, to avoid overpopulation on the sides to reduce the agents' waiting delays, resulting in a reduced overall mission time and lower energy consumption. To handle this, the problem is divided i...

This work focuses on the formation reshaping in an optimized manner in autonomous swarm of drones. Here, the two main problems are: 1) how to break and reshape the initial formation in an optimal manner, and 2) how to do such reformation while minimizing the overall deviation of the drones and the overall time, i.e., without slowing down. To addres...

This work focuses on the formation reshaping in an optimized manner in autonomous swarm of drones. Here, the two main problems are: 1) how to break and reshape the initial formation in an optimal manner, and 2) how to do such reformation while minimizing the overall deviation of the drones and the overall time, i.e. without slowing down. To address...

The focus of this work is to analyze the behavior of an autonomous swarm, in which only the leader or a dedicated set of agents can take intelligent decisions with other agents just reacting to the information that is received by those dedicated agents, when the swarm comes across stationary or dynamic obstacles. An energy-aware information managem...

This work focuses on low-energy collision avoidance and formation maintenance in autonomous swarms of drones. Here, the two main problems are: 1) how to avoid collisions by temporarily breaking the formation, i.e., collision avoidance reformation, and 2) how do such reformation while minimizing the deviation resulting in minimization of the overall...

Growing adoption of cryptocurrencies by institutional investors coupled with recurring incidents of loss of access to digital wallets have resulted in emergence of custodial services for high net worth individuals and institutions. However, such services are not economically feasible for the wider community of crypto owners who are left with no rec...

The focus of this work is to analyze the behaviour of an autonomous swarm, in which only the leader or a dedicated set of agents can take intelligent decisions with other agents just reacting to the information received by those dedicated agents, when the swarm comes across stationary or dynamic obstacles. An energy-aware information management alg...

Growing adoption of cryptocurrencies by institutional investors coupled with recurring incidents of loss of access to digital wallets have resulted in emergence of custodial services for high net worth individuals and institutions. However, such services are not economically feasible for the wider community of crypto owners who are left with no rec...

The focus of this work is to present a novel methodology for optimal distribution of a swarm formation on either side of an obstacle, when evading the obstacle, to avoid overpopulation on the sides to reduce the agents' waiting delays, resulting in a reduced overall mission time and lower energy consumption. To handle this, the problem is divided i...

Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS). However, the detection of obstacles especially during night-time is still a challenging task since the lighting conditions are not sufficient for traditional cameras to function properly. Therefore, we exploit the powerful attributes of ev...

This work focuses on the formation reshaping in an optimized manner in autonomous swarm of drones. Here, the two main problems are: 1) how to break and reshape the initial formation in an optimal manner, and 2) how to do such reformation while minimizing the overall deviation of the drones and the overall time, i.e., without slowing down. To addres...

Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS). However, the detection of obstacles especially during night-time is still a challenging task since the lighting conditions are not sufficient for traditional cameras to function properly. Therefore, we exploit the powerful attributes of ev...

Two important aspects in dealing with autonomous navigation of a swarm of drones are collision avoidance mechanism and formation control strategy; a possible competition between these two modes of operation may have negative implications for success and efficiency of the mission. This issue is exacerbated in the case of distributed formation contro...

Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS). However, the detection of obstacles especially during night-time is still a challenging task since the lighting conditions are not sufficient for traditional cameras to function properly. Therefore, we exploit the powerful attributes of ev...

We report on a SystemC add-on library which extends every SystemC module with non-functional data regarding power consumption and physical layout and which accumulates and estimates dynamic energy usage. It supports both phase/mode power modelling and energy-per-transaction logging for TLM (transactional-level modelling). Wiring energy is computed...

Operating Systems exists since existence of computers, and have been evolving continuously from time to time. In this paper we have reviewed a relatively new or unexplored topic of Live OS. From networking perspective, Live OS is used for establishing Clusters, Firewalls and as Network security assessment tool etc. Our proposed concept is that a Li...

We report on a SystemC add-on library which extends every SystemC module with non-functional data regarding power consumption and physical layout and which accumulates and estimates dynamic energy usage. It supports both phase/mode power modelling and energy-per-transaction logging for TLM (transactional-level modelling). Wiring energy is computed...

Delay/disruption-tolerant networks (DTNs) are characterized by frequent and long duration partitions and end-to-end connectivity may never be present between the source and the destination at the message origination time. Anycast is an important service used for many applications in DTNs such as information exchange in hazards/crisis situation, res...

Vehicular adhoc networks are subclass of mobile adhoc network. Broadcast is a commonly used technique for communication. Different techniques are proposed for broadcast but they can't consider the importance of message except relevance based approach. Relevance based approach is the only scheme that forward relevant message for sharing and discard...

Delay/disruption tolerant networks (DTNs) are known for frequent and long duration partitions and end-to-end connectivity may be absent between the source and the destination. Anycast service is used for applications such as information exchange in hazards/crisis situation, recourse discovery, etc in Delay Tolerant Networks. For a specific type of...

Delay/disruption tolerant networks (DTNs) are characterized by frequent and long duration partitions and end-to-end connectivity may never be present between the source and the destination at the message origination time. Any cast is an important service used for many applications in DTN such as information exchange in hazards/crisis situation, rec...

This paper presents a critical review of the existing fault tolerance mechanism in grid computing and the overhead involved in terms of reprocessing or rescheduling of jobs, if in case a fault arisen. For this purpose we suggested the parallel shadow image server (PSIS) copying techniques in parallel to the resource manager for having the check poi...

This paper presents an optimal chaining technique for message authentication in lossy environments such as MANets. The scheme is similar in topology to star chaining but is more economic in terms of transmission and computational overhead. The overhead is independent of group size and it enables individual packet verification, so it is ideal for se...

CEJVM is a cluster enabled Java Virtual Machine, which executes in a distributed fashion among collaborating nodes of a dedicated cluster. It extends Java's multithreading mechanism to the parallel computing paradigm by transparent migration of independent application threads modeled in master worker paradigm. The goal is to obtain improved perform...