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Dr. Kashif Zia
Sohar University, Oman

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Research Keywords & Expertise

0 Agent-based Modeling
0 Agent-based Simulation
0 Complexity
0 complex adaptive system science
0 Distributed artificial intelligence

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Agent-based Simulation
Agent-based Modeling
Complexity

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Short Biography

Kashif Zia is an Associate Professor at the Faculty of Computing and Information Technology, Sohar University, Oman. His research interests are: City scale socio-technical systems Combining modeling aspects Spatial and demographics features Social networking Societal norms and actions Population and traffic dynamics at different scales Information dissemination and markets Social multi-robotics systems

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Conference paper
Published: 27 June 2021 in Inventive Computation and Information Technologies
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One of the goals of the future manufacturing systems is autonomic and self-organized shop floors. This requires flexible manufacturing units in terms of their availability and ability so that extremely personalized products, even of lot size equal to one, can be produced. In this paper, we propose a framework, which focuses on grouping cohesion of manufacturing units and efficient routing of products to resources. Towards this, we integrate an established cultural evolution model to achieve desirable flexibility of resources considering the requirements of the products that are being manufactured. A hybrid discrete simulation environment is implemented, in which cultural evolution among the resources is modeled using discrete-time, whereas, for routing, a simple queuing system is modeled using the discrete-event method.

ACS Style

Kashif Zia; Umar Farooq; Alois Ferscha. A Hybrid Simulation Model for an Efficient and Flexible Shop Floor System. Inventive Computation and Information Technologies 2021, 209 -216.

AMA Style

Kashif Zia, Umar Farooq, Alois Ferscha. A Hybrid Simulation Model for an Efficient and Flexible Shop Floor System. Inventive Computation and Information Technologies. 2021; ():209-216.

Chicago/Turabian Style

Kashif Zia; Umar Farooq; Alois Ferscha. 2021. "A Hybrid Simulation Model for an Efficient and Flexible Shop Floor System." Inventive Computation and Information Technologies , no. : 209-216.

Conference paper
Published: 09 June 2021 in Algorithms and Data Structures
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The paper utilizes agent-based simulations to study diffusion and absorption of knowledge. The causal relation of diffusion on absorption is established in order. The process of diffusion and absorption of knowledge is governed by network structure and the dynamics of the recurring influence, conceptualized and modeled as legitimacy, credibility, and strategic complementarity; again a causal relation between the three in order. If not stationary, the agents can also move to acquire either random walk or profile-based mobility modes. Therefore, the co-evolution of network structure due to the mobility of the agents and the dynamics of the recurring influence of ever-changing neighborhood is also modeled. The simulation results reveal that – (i) higher thresholds for legitimacy and credibility determine slower, (ii) higher number of early adopters results into faster, and (iii) a scheduled and repeated mobility (the profile-based mobility) results in faster – absorption of knowledge.

ACS Style

Kashif Zia; Umar Farooq; Sanad Al-Maskari; Muhammad Shafi. Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis. Algorithms and Data Structures 2021, 570 -584.

AMA Style

Kashif Zia, Umar Farooq, Sanad Al-Maskari, Muhammad Shafi. Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis. Algorithms and Data Structures. 2021; ():570-584.

Chicago/Turabian Style

Kashif Zia; Umar Farooq; Sanad Al-Maskari; Muhammad Shafi. 2021. "Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis." Algorithms and Data Structures , no. : 570-584.

Journal article
Published: 17 May 2021 in International Journal of Environmental Research and Public Health
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Diabetes is one of the most widespread diseases resulting in an increase in mortality rate, and negatively affecting Oman’s economy. In 2019, an estimated 1.5 million deaths were directly caused by diabetes world health organization (WHO). The total number of diabetes cases among Omanis aged between 20 and 79 in 2015 is about 128,769, which increased in 2020 to 149,195. However, the total forecast number of diabetes cases will double in 2050 to 352,156. The healthcare spend on diabetes is 16.6%, which has triggered the need for the study. This research aims to review and analyze the prevailing situation around diabetes in Oman and its risk factors using multilinear regression tests, ANOVA, and descriptive analysis. Two hundred and fourteen samples were collected through a well-defined questionnaire using the purposive sampling technique. The study’s empirical results reveal that females, who were 79% of the respondents, have at least one of their family members as a diabetes patient; 41% of the respondents were affected by Type-2 (T2-DM) diabetes, and 38% were unaware of their type of diabetes. While, 91% of them were undergoing medication. The study indicates the risk factors that impact the diabetes number and type in North Oman, which include Aage with a rate of (0.595), followed by family history (0.560), smoking habits (0.530), and being overweight (0.435). Age plays an important role in the type of diabetes of the patients, and the types of diabetes impacts medication type. The type of diabetes has influenced the frequency of diabetes patients’ self-testing at home. Overall, 92% were rushed to the hospital or took medication immediately in case of a considerable variation in the readings; and 68% of the respondents complained that visiting the hospital is a costly affair and the health service is deteriorating.

ACS Style

Jabar Yousif; Firdouse Khan; Kashif Zia; Nahad Saadi. Analytical Data Review to Determine the Factors Impacting Risk of Diabetes in North Al-Batinah Region, Oman. International Journal of Environmental Research and Public Health 2021, 18, 5323 .

AMA Style

Jabar Yousif, Firdouse Khan, Kashif Zia, Nahad Saadi. Analytical Data Review to Determine the Factors Impacting Risk of Diabetes in North Al-Batinah Region, Oman. International Journal of Environmental Research and Public Health. 2021; 18 (10):5323.

Chicago/Turabian Style

Jabar Yousif; Firdouse Khan; Kashif Zia; Nahad Saadi. 2021. "Analytical Data Review to Determine the Factors Impacting Risk of Diabetes in North Al-Batinah Region, Oman." International Journal of Environmental Research and Public Health 18, no. 10: 5323.

Journal article
Published: 23 March 2021 in IoT
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The things in the Internet of Things are becoming more and more socially aware. What social means for these things (more often termed as “social objects”) is predominately determined by how and when objects interact with each other. In this paper, an agent-based model for Social Internet of Things is proposed, which features the realization of various interaction modalities, along with possible network structures and mobility modes, thus providing a novel model to ask interesting “what-if” questions. The scenario used, which is the acquisition of shared resources in a common spatial and temporal world, demands agents to have ad-hoc communication and a willingness to cooperate with others. The model was simulated for all possible combinations of input parameters to study the implications of competitive vs. cooperative social behavior while agents try to acquire shared resources/services in a peer-to-peer fashion. However, the main focus of the paper was to analyze the impact of profile-based mobility, which has an underpinning on parameters of extent and scale of a mobility profile. The simulation results, in addition to others, reveal that there are substantial and systematic differences among different combinations of values for extent and scale.

ACS Style

Kashif Zia; Umar Farooq; Muhammad Shafi; Muhammad Arshad. An Agent-Based Model of Task-Allocation and Resource-Sharing for Social Internet of Things. IoT 2021, 2, 187 -204.

AMA Style

Kashif Zia, Umar Farooq, Muhammad Shafi, Muhammad Arshad. An Agent-Based Model of Task-Allocation and Resource-Sharing for Social Internet of Things. IoT. 2021; 2 (1):187-204.

Chicago/Turabian Style

Kashif Zia; Umar Farooq; Muhammad Shafi; Muhammad Arshad. 2021. "An Agent-Based Model of Task-Allocation and Resource-Sharing for Social Internet of Things." IoT 2, no. 1: 187-204.

Research paper
Published: 01 January 2021 in Bioengineered
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The hippocampus plays a key role in memory formation and learning. According to the concept of active systems memory consolidation, transiently stored memory traces are transferred from the hippocampus into the neocortex for permanent storage. This phenomenon relies on hippocampal network oscillations, particularly sharp wave ripples [SPW-Rs). In this process prior saved data in the hippocampus may be reactivated. Recent investigations reveal that several neurotransmitters and neuromodulators including norepinephrine, acetylcholine, serotonin, etc., suppress SPW-Rs activity in rodents’ hippocampal slices. This suppression of SPW-Rs may depend on various presynaptic and postsynaptic parameters including decrease in calcium influx, hyperpolarization/depolarization and alteration in gap junctions’ function in pyramidal cells. In this study, we demonstrate the impact of calcium influx and gap junctions on pyramidal cells for the modulation of SPW-Rs in a computational model of CA1. We used,SPW-Rs model with some modifications. SPW-Rs are simulated with gradual reduction of calcium and with decreasing conductance through gap junctions in PCs. Both, with calcium reduction as well as with conductance reduction through gap junctions, SPW-Rs are suppressed. Both effects add up synergistically in combination. Graphical abstract

ACS Style

Muhammad Mushtaq; Rizwan Ul Haq; Waqas Anwar; Lisa Marshall; Maxim Bazhenov; Kashif Zia; Hina Alam; Lars Hertel; Abdul Aleem Awan; Thomas Martinetz. A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells. Bioengineered 2021, 12, 2603 -2615.

AMA Style

Muhammad Mushtaq, Rizwan Ul Haq, Waqas Anwar, Lisa Marshall, Maxim Bazhenov, Kashif Zia, Hina Alam, Lars Hertel, Abdul Aleem Awan, Thomas Martinetz. A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells. Bioengineered. 2021; 12 (1):2603-2615.

Chicago/Turabian Style

Muhammad Mushtaq; Rizwan Ul Haq; Waqas Anwar; Lisa Marshall; Maxim Bazhenov; Kashif Zia; Hina Alam; Lars Hertel; Abdul Aleem Awan; Thomas Martinetz. 2021. "A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells." Bioengineered 12, no. 1: 2603-2615.

Conference paper
Published: 06 June 2020 in Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
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Development of crowd evacuation systems is a challenge due to involvement of complex interrelated aspects, diversity of involved individuals and/or environment, and lack of direct evidence. Evacuation modeling and simulation is used to analyze various possible outcomes as different scenarios unfold, typically when the complexity of scenario is high. However, incorporation of different aspect categories in a unified modeling space is a challenge. In this paper, we addressed this challenge by combining individual, social and technological models of people during evacuation, while pivoting all these aspects on a common agent-based modeling framework and a grid-based hypothetical environment. By simulating these models, an insight into the effectiveness of several interesting evacuation scenarios is provided. Based on the simulation results, a couple of useful recommendations are also given. The most important recommendation is not to use potential field indicating the exits dynamics as an exit strategy particularly for a spatial complexity environment.

ACS Style

Kashif Zia; Alois Ferscha. An Agent-Based Model of Crowd Evacuation. Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation 2020, 1 .

AMA Style

Kashif Zia, Alois Ferscha. An Agent-Based Model of Crowd Evacuation. Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. 2020; ():1.

Chicago/Turabian Style

Kashif Zia; Alois Ferscha. 2020. "An Agent-Based Model of Crowd Evacuation." Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation , no. : 1.

Journal article
Published: 16 April 2020 in Future Internet
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The latest manifestation of “all connected world" is the Internet of Things (IoT), and Internet of Vehicles (IoV) is one of the key examples of IoT these days. In Social IoV (SIoV), each vehicle is treated as a social object where it establishes and manages its own Social Network (SN). Incidentally, most of the SIoV research in the literature is related to proximity-based connectivity and interactions. In this paper, we bring people in the loop by incorporating their SNs. While emphasizing a recommendation scenario, in which vehicles may require recommendations from SNs of their owners (in addition to their own SIoV), we proposed an agent-based model of information sharing (for context-based recommendations) on a hypothetical population of smart vehicles. Some important hypotheses were tested using a realistic simulation setting. The simulation results reveal that a recommendation using weak ties is more valuable than a recommendation using strong ties in pure SIoV. The simulation results also demonstrate that recommendations using the most-connected person in the social network are not more valuable than recommendation using a random person in the social network. The model presented in this paper can be used to design a multi-scale recommendation system, which uses SIoV and a typical SN in combination.

ACS Style

Kashif Zia; Muhammad Shafi; Umar Farooq. Improving Recommendation Accuracy Using Social Network of Owners in Social Internet of Vehicles. Future Internet 2020, 12, 69 .

AMA Style

Kashif Zia, Muhammad Shafi, Umar Farooq. Improving Recommendation Accuracy Using Social Network of Owners in Social Internet of Vehicles. Future Internet. 2020; 12 (4):69.

Chicago/Turabian Style

Kashif Zia; Muhammad Shafi; Umar Farooq. 2020. "Improving Recommendation Accuracy Using Social Network of Owners in Social Internet of Vehicles." Future Internet 12, no. 4: 69.

Other
Published: 06 April 2020
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Motivated by the rapid spread of COVID-19 all across the globe, we have performed simulations of a system dynamic epidemic spread model in different possible situations. The simulation, not only captures the model dynamic of the spread of the virus, but also, takes care of population and mobility data. The model is calibrated based on epidemic data and events specifically of Sultanate of Oman, which can easily be generalized. The simulation results are quite disturbing, indicating that, during a process of stringent social distancing and testing strategies, a small perturbation can lead to quite undesirable outcomes. The simulation results, although consistent in expected outcomes across changing parameters’ values, also indicate a substantial mismatch with real numbers. An analysis of what can be the reason of this mismatch is also performed. Within these contradictions, for Oman, regarding the eradication of epidemic, the future is not extremely alarming.

ACS Style

Kashif Zia; Umar Farooq. COVID-19 Outbreak in Oman: Model-Driven Impact Analysis and Challenges. 2020, 1 .

AMA Style

Kashif Zia, Umar Farooq. COVID-19 Outbreak in Oman: Model-Driven Impact Analysis and Challenges. . 2020; ():1.

Chicago/Turabian Style

Kashif Zia; Umar Farooq. 2020. "COVID-19 Outbreak in Oman: Model-Driven Impact Analysis and Challenges." , no. : 1.

Conference paper
Published: 02 December 2019 in Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services
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ACS Style

Kashif Zia; Sanad Al Maskari; Dinesh Saini; Arshad Muhammad; Umar Farooq. A Simulation Model Demonstrating the Impact of Social Aspects on Social Internet of Things. Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services 2019, 1 .

AMA Style

Kashif Zia, Sanad Al Maskari, Dinesh Saini, Arshad Muhammad, Umar Farooq. A Simulation Model Demonstrating the Impact of Social Aspects on Social Internet of Things. Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services. 2019; ():1.

Chicago/Turabian Style

Kashif Zia; Sanad Al Maskari; Dinesh Saini; Arshad Muhammad; Umar Farooq. 2019. "A Simulation Model Demonstrating the Impact of Social Aspects on Social Internet of Things." Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services , no. : 1.

Conference paper
Published: 01 December 2019 in 2019 15th International Conference on Emerging Technologies (ICET)
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Robotic exploration or Robotic area coverage of unknown environments is an important aspect of research these days. Such type of exploration is called online exploration or online coverage. This paper presents an online coverage technique for adversarial environment, using multiple robots. In adversarial coverage, robots perform coverage in the environment with hazards and threats, which might damage or stop it. In online coverage techniques, coverage task is completed without map. This paper presents an online adversarial coverage technique for covering a dynamic and adversarial environment using hybrid architecture. Hybrid architecture is combination of behavior based architecture and classical architecture. Different Behaviors are designed and some of the basic behaviors are modified for obstacle avoidance, navigation and coverage. Efficient algorithms and data structures are used to monitor threat movement and previously visited locations. These threats and visited locations are combined with obstacle avoidance behaviors. The idea is to use multiple less expensive robots instead of using one expensive robot for covering area, without leaving any part of the area uncovered.

ACS Style

Owais Khan; Ahmad Din; Abbas Khalid; Ahmad Khan; Ashfaq Ahmed; Kashif Zia. Online Adversarial Coverage for Multi-Agent Systems. 2019 15th International Conference on Emerging Technologies (ICET) 2019, 1 -6.

AMA Style

Owais Khan, Ahmad Din, Abbas Khalid, Ahmad Khan, Ashfaq Ahmed, Kashif Zia. Online Adversarial Coverage for Multi-Agent Systems. 2019 15th International Conference on Emerging Technologies (ICET). 2019; ():1-6.

Chicago/Turabian Style

Owais Khan; Ahmad Din; Abbas Khalid; Ahmad Khan; Ashfaq Ahmed; Kashif Zia. 2019. "Online Adversarial Coverage for Multi-Agent Systems." 2019 15th International Conference on Emerging Technologies (ICET) , no. : 1-6.

Conference paper
Published: 01 September 2019 in 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
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Universities, hosting Massive Open Online Courses (MOOC) are facing a major challenge of immature dropout of a student. Major research considerations to address this challenge are only able to, identify a student at the verge of a dropout using learning and learner analytics based on different sources of data (MOOCs data, social networking data). There is no significant research done on how to avert this particular state of the learner. An agent-based model is proposed to recreate different scenarios of learners' interactions and social network evolution. The purpose of this study is to identify important phenomena and structures of social networking using a simulated MOOC setting so that the social network interaction can be channeled to avert the possibility of dropout.

ACS Style

Lakshmi Sunil Prakash; Kashif Zia; Ismail Khalil. Towards Reduction in MOOCs Dropouts: An Agent-Based Model for Social Network Based Collaborative Learning. 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) 2019, 2, 814 -819.

AMA Style

Lakshmi Sunil Prakash, Kashif Zia, Ismail Khalil. Towards Reduction in MOOCs Dropouts: An Agent-Based Model for Social Network Based Collaborative Learning. 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). 2019; 2 ():814-819.

Chicago/Turabian Style

Lakshmi Sunil Prakash; Kashif Zia; Ismail Khalil. 2019. "Towards Reduction in MOOCs Dropouts: An Agent-Based Model for Social Network Based Collaborative Learning." 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) 2, no. : 814-819.

Journal article
Published: 12 August 2019 in Safety
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“The wisdom of crowds” is often observed in social discourses and activities around us. The manifestations of it are, however, so intrinsically embedded and behaviorally accepted that an elaboration of a social phenomenon evidencing such wisdom is often considered a discovery; or at least an astonishing fact. One such scenario is explored here, namely, the conceptualization and modeling of a food safety system—a system directly related to social cognition. The first contribution of this paper is the re-evaluation of Knowles’s model towards a more conscious understanding of “the wisdom of crowds” effects on inspection and consumption behaviors. The second contribution is augmenting the model with social networking capabilities, which acts as a medium to spread information about stores and help consumers find uncontaminated stores. Simulation results revealed that stores respecting social cognition improve the effectiveness of the food safety system for consumers as well as for the stores. Simulation findings also revealed that active societies have the capability to self-organize effectively, even if they lack regulatory obligations.

ACS Style

Kashif Zia; Umar Farooq; Arshad Muhammad. Agent-Based Modeling of a Self-Organized Food Safety System. Safety 2019, 5, 52 .

AMA Style

Kashif Zia, Umar Farooq, Arshad Muhammad. Agent-Based Modeling of a Self-Organized Food Safety System. Safety. 2019; 5 (3):52.

Chicago/Turabian Style

Kashif Zia; Umar Farooq; Arshad Muhammad. 2019. "Agent-Based Modeling of a Self-Organized Food Safety System." Safety 5, no. 3: 52.

Journal article
Published: 15 June 2019 in Informatica
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ACS Style

Kashif Zia; Dinesh Saini; Arshad Muhammad; Umar Farooq. Agent-Based Simulation of Socially-Inspired Model of Resistance against Unpopular Norms. Informatica 2019, 43, 1 .

AMA Style

Kashif Zia, Dinesh Saini, Arshad Muhammad, Umar Farooq. Agent-Based Simulation of Socially-Inspired Model of Resistance against Unpopular Norms. Informatica. 2019; 43 (2):1.

Chicago/Turabian Style

Kashif Zia; Dinesh Saini; Arshad Muhammad; Umar Farooq. 2019. "Agent-Based Simulation of Socially-Inspired Model of Resistance against Unpopular Norms." Informatica 43, no. 2: 1.

Conference paper
Published: 01 June 2019 in 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT)
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The latest manifestation of all connected world is the Internet of Things (IoT), and Internet of Vehicles (IoV) is evolved as one of the first prominent examples of IoT. Social IoV (SIoV) is a term used to represent when vehicles build and manage their own social network. While exploring these futuristic systems, in addition to physical aspects, the social aspects of connectivity and information dispersion should also be considered. In this paper, an agent-based model of information sharing (for context-based consumer recommendations) of a hypothetical population of smart vehicles is presented, in order to check the feasibility to offer recommendation system for the consumers. The simulation results show that the closure of social ties and its timing influences the dispersion of novel information considerably. It is also observed that as the network evolves as a result of incremental interactions, the recommendations guaranteeing a fair distribution of vehicles (consumer-owned cars) across equally good competitors is possible.

ACS Style

Arshad Muhammad; Kashif Zia. Feasibility of Recommendation System Mediated by Social Internet of Vehicles. 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT) 2019, 41 -46.

AMA Style

Arshad Muhammad, Kashif Zia. Feasibility of Recommendation System Mediated by Social Internet of Vehicles. 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT). 2019; ():41-46.

Chicago/Turabian Style

Arshad Muhammad; Kashif Zia. 2019. "Feasibility of Recommendation System Mediated by Social Internet of Vehicles." 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT) , no. : 41-46.

Research article
Published: 15 April 2019 in Complexity
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Internet of Vehicles (IoV) is turning out to be one of the first impressive examples of Internet of Things (IoT). In IoV, the factors of connectivity and interaction/information dispersion are equally important as sensing/actuating, context-awareness, services provisioning, etc. However, most of the researches related to connectivity and interaction are constrained to physics of signaling and data science (semantics/contents), respectively. Very rapidly, the meanings of these factors are changing due to evolution of technologies from physical to social domain. For example, Social IoV (SIoV) is a term used to represent when vehicles build and manage their own social network. Hence, in addition to physical aspects, the social aspects of connectivity and information dispersion towards these systems of future should also be researched, a domain so far ignored in this particular context. In this paper, an agent-based model of information sharing (for context-based recommendations) of a hypothetical population of smart vehicles is presented. Some important hypotheses are tested under reasonable connectivity and data constraints. The simulation results reveal that closure of social ties and its timing impacts the dispersion of novel information (necessary for a recommender system) substantially. It is also observed that as the network evolves due to incremental interactions, the recommendations guaranteeing a fair distribution of vehicles across equally good competitors is not possible.

ACS Style

Kashif Zia; Arshad Muhammad; Abbas Khalid; Ahmad Din; Alois Ferscha. Towards Exploration of Social in Social Internet of Vehicles Using an Agent-Based Simulation. Complexity 2019, 2019, 1 -13.

AMA Style

Kashif Zia, Arshad Muhammad, Abbas Khalid, Ahmad Din, Alois Ferscha. Towards Exploration of Social in Social Internet of Vehicles Using an Agent-Based Simulation. Complexity. 2019; 2019 ():1-13.

Chicago/Turabian Style

Kashif Zia; Arshad Muhammad; Abbas Khalid; Ahmad Din; Alois Ferscha. 2019. "Towards Exploration of Social in Social Internet of Vehicles Using an Agent-Based Simulation." Complexity 2019, no. : 1-13.

Conference paper
Published: 30 December 2018 in Privacy Enhancing Technologies
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People lives in the society abide by different norms and sometime these norms are unpopular. Usually, these norms develop within small local community, but later spread out to entire population. It is evidenced that the people not only abide by these norms but also start enforcing in certain situations. It is imperative to know why people enforce a norm they privately oppose. Furthermore, for the overall societal good, many a times, it is necessary to oppose and possibly avert unpopular norms. To achieve this goal, it is necessary to know the conditions, which enable persistence of the unpopular norms and models that support possible aversion of them. This study attempts to elaborate the conditions and reasons for the emergence, spreading and aversion of unpopular norms in society, using theory-driven agent-based simulation. The simulation results reveal that in addition to agents actively participating in averting the unpopular norm, incorporating a rational decision-making model in the population of agents is necessary to achieve a dominant norm aversion.

ACS Style

Arshad Muhammad; Kashif Zia; Dinesh Kumar Saini. Population Dynamics Necessary to Avert Unpopular Norms. Privacy Enhancing Technologies 2018, 64 -75.

AMA Style

Arshad Muhammad, Kashif Zia, Dinesh Kumar Saini. Population Dynamics Necessary to Avert Unpopular Norms. Privacy Enhancing Technologies. 2018; ():64-75.

Chicago/Turabian Style

Arshad Muhammad; Kashif Zia; Dinesh Kumar Saini. 2018. "Population Dynamics Necessary to Avert Unpopular Norms." Privacy Enhancing Technologies , no. : 64-75.

Journal article
Published: 31 October 2018 in International Journal of Crowd Science
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Purpose Participatory wireless sensor networks (PWSN) is an emerging paradigm that leverages existing sensing and communication infrastructures for the sensing task. Various environmental phenomenon – P monitoring applications dealing with noise pollution, road traffic, requiring spatio-temporal data samples of P (to capture its variations and its profile construction) in the region of interest – can be enabled using PWSN. Because of irregular distribution and uncontrollable mobility of people (with mobile phones), and their willingness to participate, complete spatio-temporal (CST) coverage of P may not be ensured. Therefore, unobserved data values must be estimated for CST profile construction of P and presented in this paper. Design/methodology/approach In this paper, the estimation of these missing data samples both in spatial and temporal dimension is being discussed, and the paper shows that non-parametric technique – Kernel Regression – provides better estimation compared to parametric regression techniques in PWSN context for spatial estimation. Furthermore, the preliminary results for estimation in temporal dimension have been provided. The deterministic and stochastic approaches toward estimation in the context of PWSN have also been discussed. Findings For the task of spatial profile reconstruction, it is shown that non-parametric estimation technique (kernel regression) gives a better estimation of the unobserved data points. In case of temporal estimation, few preliminary techniques have been studied and have shown that further investigations are required to find out best estimation technique(s) which may approximate the missing observations (temporally) with considerably less error. Originality/value This study addresses the environmental informatics issues related to deterministic and stochastic approaches using PWSN.

ACS Style

Assad Mehmood; Kashif Zia; Arshad Muhammad; Dinesh Kumar Saini. Missing observation approximation for spatio-temporal profile reconstruction in participatory sensor networks. International Journal of Crowd Science 2018, 2, 108 -122.

AMA Style

Assad Mehmood, Kashif Zia, Arshad Muhammad, Dinesh Kumar Saini. Missing observation approximation for spatio-temporal profile reconstruction in participatory sensor networks. International Journal of Crowd Science. 2018; 2 (2):108-122.

Chicago/Turabian Style

Assad Mehmood; Kashif Zia; Arshad Muhammad; Dinesh Kumar Saini. 2018. "Missing observation approximation for spatio-temporal profile reconstruction in participatory sensor networks." International Journal of Crowd Science 2, no. 2: 108-122.

Journal article
Published: 01 August 2018 in Computers & Electrical Engineering
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Search and rescue (SAR) is one of the foremost issues in disaster management. A robust SAR mechanism can significantly reduce the number of causalities. This paper presents a behavior-based model for a swarm of small robots to perform an efficient SAR operation in an unknown environment. The swarm is guided by a dynamically selected virtual leader (VL). A self-contained dynamic goal-seeking mechanism, using behavior-based approach, is designed to search targets (victims). Under the leadership of VL, the proposed model retains the integrity of the swarm while driving it from its current position to referenced goals. Fuzzy logic has been used to design constituent behavioral modules, namely obstacle avoidance, alignment, and inter-robot cohesion. The model has been simulated to validate its efficiency and the findings reveal that robots moving as a swarm are more effective in the SAR process as compared to multiple single robots.

ACS Style

Ahmad Din; Meh Jabeen; Kashif Zia; Abbas Khalid; Dinesh Kumar Saini. Behavior-based swarm robotic search and rescue using fuzzy controller. Computers & Electrical Engineering 2018, 70, 53 -65.

AMA Style

Ahmad Din, Meh Jabeen, Kashif Zia, Abbas Khalid, Dinesh Kumar Saini. Behavior-based swarm robotic search and rescue using fuzzy controller. Computers & Electrical Engineering. 2018; 70 ():53-65.

Chicago/Turabian Style

Ahmad Din; Meh Jabeen; Kashif Zia; Abbas Khalid; Dinesh Kumar Saini. 2018. "Behavior-based swarm robotic search and rescue using fuzzy controller." Computers & Electrical Engineering 70, no. : 53-65.

Conference paper
Published: 26 July 2018 in Transactions on Petri Nets and Other Models of Concurrency XV
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In this paper, an agent-based model of information/innovation dissimulation and adoption, motivated by seminal model from Centola and Macy is presented. The four factors contributing to complex contagion, namely, strategic complementarity, credibility, legitimacy, and emotional contagion are considered. A parameterized mechanism of relating credibility with legitimacy in time and spatial domains is presented. Innovation dissemination in different mobility modes is studied using a proximity-based regular network. The simulation results reveal that the late adopters are affected by the early adopters, but only when the mobility model is closer to human mobility (a planned, scheduled and repeated mobility). Early adopters do not affect late adopters if all agents are stationary or acquiring random walk mobility. Also, with an increase in the percentage of early adopters, the number of people adopting an innovation increases. All the other varying factors, such as interaction radius, threshold values, etc. do not have substantial impact.

ACS Style

Sanad Al-Maskari; Kashif Zia; Arshad Muhammad; Dinesh Saini. Impact of Mobility Mode on Innovation Dissemination: An Agent-Based Simulation Modeling. Transactions on Petri Nets and Other Models of Concurrency XV 2018, 3 -14.

AMA Style

Sanad Al-Maskari, Kashif Zia, Arshad Muhammad, Dinesh Saini. Impact of Mobility Mode on Innovation Dissemination: An Agent-Based Simulation Modeling. Transactions on Petri Nets and Other Models of Concurrency XV. 2018; ():3-14.

Chicago/Turabian Style

Sanad Al-Maskari; Kashif Zia; Arshad Muhammad; Dinesh Saini. 2018. "Impact of Mobility Mode on Innovation Dissemination: An Agent-Based Simulation Modeling." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 3-14.

Conference paper
Published: 05 July 2018 in Advances in Intelligent Systems and Computing
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In recent years, a lot of research is focusing on predicting real-world outcomes using Social networks data (for example, Twitter Data). Sentiment Analysis of the twitter data thus has become one of the key aspects of making predictions involving human sentiments. Stock market movements are very sensitive and it affects investment of the investors because of this prediction is the main interest of the researchers. Soft computing approaches and nature-inspired computing has a lot of potential in predicting the market movement. In this paper, soft computing techniques are used to predict market trends using sentiments extracted from market data. The results indicate that by selecting suitable neural networks architecture and selecting suitable regression coefficients can improve the overall accuracy and correlation of the predictions. Stock market information people use for investment decisions. Forecasting must be accurate otherwise it will not be effective in the decision. There are techniques like trend based classification, adaptive indicators selection and market trading signals are used in forecasting.

ACS Style

Dinesh Kumar Saini; Kashif Zia; Eimad Abusham. Prediction Market Index by Combining Financial Time-Series Forecasting and Sentiment Analysis Using Soft Computing. Advances in Intelligent Systems and Computing 2018, 180 -187.

AMA Style

Dinesh Kumar Saini, Kashif Zia, Eimad Abusham. Prediction Market Index by Combining Financial Time-Series Forecasting and Sentiment Analysis Using Soft Computing. Advances in Intelligent Systems and Computing. 2018; ():180-187.

Chicago/Turabian Style

Dinesh Kumar Saini; Kashif Zia; Eimad Abusham. 2018. "Prediction Market Index by Combining Financial Time-Series Forecasting and Sentiment Analysis Using Soft Computing." Advances in Intelligent Systems and Computing , no. : 180-187.