279 research outputs found
Diploma in Strategic Marketing
No full textDiploma in Strategic Marketing held from 19th June 2021 to 3rd October, 2021 at Center for Executive Education, IBA.
Front Row-Left to Right: Rehan Rauf, Raheel Malik, Kehkashan Mazhar, Saba Hameed, Dr. Saima Hussain, Anusha Malik, Munazza, Kamran Aftab
Back Row-Left to Right: Syed Kashir Uddin, Sameer Malik, Hussain Al Naseer, Munsarim Vahidy, Ghulam Akbar Narejo, Waqar Ahmed, Ali Zeeshanhttps://ir.iba.edu.pk/training-events-gallery/1008/thumbnail.jp
Precision in Traffic Monitoring : Harnessing Piezoelectric Sensors for Tire Analysis and Vehicle Classification
No full textThis research explored vehicular monitoring, emphasizing a unique approach incorporating piezoelectric sensor strands encased in a durable polymer. The aim was to use these sensors to pinpoint a vehicle's tire location and measure its width, factors critical for various traffic monitoring systems. A crucial task was determining the most suitable protective barrier for the sensors, considering environmental conditions and the strains from vehicle motion. Through comprehensive tests, the G-100 Ultra Impact Epoxy stood out for its consistent performance. Piezoelectric sensors, renowned for their ability to convert mechanical force into electrical signals, played a central role in this research. Their integration with the selected epoxy showcased their capability to capture the complex dynamics between vehicle tires and the road surface. Additionally, the research explored the compatibility of EPDM rubber with the sensors. Due to its durability, EPDM rubber served as both an effective shield and a base for the sensors, producing encouraging laboratory outcomes.Field tests with a piezoelectric sensor-embedded EPDM strip validated the system's efficacy. When vehicles traversed the strip, the induced mechanical strains on the sensors generated voltage outputs that provided detailed tire information. A machine-learning model was developed to categorize trucks based on distinct signal patterns. The simulated behavior of the EPDM strip integrated with sensors yielded essential strain data. This data influenced the voltage outputs from the piezoelectric sensors, which helped ascertain the precise tire location, width, and the vehicle's classification. A standout observation was the system's enhanced sensitivity to the speed of load applications, pointing to its real-world deployment considerations. The derived results closely mirrored actual measurements, validating the system's accuracy.Thesis (M.S.)--Michigan State University. Civil Engineering - Master of Science, 2023Includes bibliographical reference
Prevalence of temporomandibular joint disorders in outpatients at Al-Badar Dental College and Hospital and its relationship to age, gender, occlusion and psychological factors
No full textBackground: Temporomandibular disorder (TMD) is a collective term that encompasses many clinical problems involving the masticatory muscles, temporomandibular joints (TMJ) and associated structures and it has high prevalence among populations.
Aims and objectives: To determine the prevalence of TMD and its relationship to age, gender, occlusion and psychological factors and to evaluate which age group, gender, malocclusion parameters and psychological factors contribute to the prevalence of TMD.
Materials and methods: The study includes a sample of 250 young adults (134 girls and 116 boys) with age ranging from 18 to 25 years, the presence and severity of TMD was determined using a self-administered anamnestic questionnaire composed of 10 questions regarding common TMD symptoms. Morphologic occlusion was evaluated according to Angle′s classification (molar classes I, II, III) and to evaluate the psychological factors, The hospital anxiety and depression scale (HADS) developed by Zigmond and Snaith was used.
Results: Data were computerized and the SPSS package (version 11.2) was used and nonparametric test of Chi-square for data analysis and unpaired t-test was also used for statistical data analysis. Anamnestic index (AI) showed that the percentage of women (5522%) had higher degree of TMD symptoms than compared with men (50.86%), comparing the age of men and women free TMD and with TMD, the statistical difference was not significant as (t = 1.35, p > 0.5), distribution of the cases among Angle′s class I, II, III occlusion the difference was not statistically significant as (p > 0.5), the degree of anxiety and TMD degree among men and women patients, women had higher anxiety levels as compared to men and no statistical difference was found between the cases of men and women in the depression levels.
Conclusion: Prevalence of TMD symptoms in our sample of 250 patients was high for women- Morphologic occlusion was not associated with the presence of TMD symptoms. By considering the psychological factors we found anxiety but not depression associated with TMD symptoms
Propranolol-induced gingival hyperplasia with Nager syndrome: A rare adverse drug reaction
No full textDrug reactions are a group of reactionary lesions generally show their manifestations in the oral cavity. The drug reactions may vary from local rashes to well-developed swellings in the oral cavity especially involving the gingiva. Most of the drug reactions are asymptomatic and commonly triggered from the active metabolite of a drug used for a long time. Nager syndrome is a group of acrofacial dysostosis that usually results in craniofacial and limb malformations. The craniofacial defects are very similar to the mandibulofacial dysostosis. A very early intervention is needed for the habilitation of the patient especially when it is concerned with speech and language development. This paper reports a case of a 32-year-old female with craniofacial, limb, and skeletal abnormalities along with a drug-induced gingival hyperplasia
Exploring the confluence of IoT and metaverse: Future opportunities and challenges
No full textThe Internet of Things (IoT) and the metaverse are two rapidly evolving technologies that have the potential to shape the future of our digital world. IoT refers to the network of physical devices, vehicles, buildings, and other objects that are connected to the internet and capable of collecting and sharing data. The metaverse, on the other hand, is a virtual world where users can interact with each other and digital objects in real time. In this research paper, we aim to explore the intersection of the IoT and metaverse and the opportunities and challenges that arise from their convergence. We will examine how IoT devices can be integrated into the metaverse to create new and immersive experiences for users. We will also analyse the potential use cases and applications of this technology in various industries such as healthcare, education, and entertainment. Additionally, we will discuss the privacy, security, and ethical concerns that arise from the use of IoT devices in the metaverse. A survey is conducted through a combination of a literature review and a case study analysis. This review will provide insights into the potential impact of IoT and metaverse on society and inform the development of future technologies in this field
Shaping the future of Ethereum: Exploring energy consumption in Proof-of-Work and Proof-of-Stake consensus
No full textEthereum (ETH) is a popular Layer-1 blockchain platform that has been used to create decentralized applications (dApps) and smart contracts. Ethereum 2.0, or Serenity, is a significant update to the network that intends to address numerous issues with scalability, security, and energy efficiency. The Proof-of-Stake (PoS) consensus method will replace the Proof-of-Work (PoW) mechanism, which is one of the major new features of Ethereum 2.0. Given that PoS doesn’t require miners to do intensive mathematical calculations in order to validate transactions, it has the potential to be more energy-efficient than PoW. Additionally, this Ethereum upgrade will also be more secure due to the introduction of a new mechanism called “Casper” that will ensure that validators are always in agreement on the state of the blockchain. The paper begins by discussing the current issues facing Ethereum, including the limitations of the Proof of Work (PoW) consensus mechanism and the need for more efficient and scalable solutions. In this study, we peered at the major changes introduced by Ethereum 2.0, such as the new consensus method (Proof-of-Stake) and the addition of shard chains (Ethereum 2.0), as well as the associated development timelines, benefits and the community criticism on this upgrade
Protection des réseaux de calcul de grille contre les attaques interdomaines. Utilisation des mécanismes de partage d'alertes de sécurité et classification des domaines administratifs dans les niveaux de sécurité
No full textIn recent years security is becoming a challenge in grid computing networks. Anti-virus softwares, firewalls and intrusion detection systems are not enough to prevent sophisticated attacks fabricated by multiple users. Grid computing networks are often composed of different administrative domains owned by different organizations. Each domain can have its own security policy and may not want to share its security data with less protected networks. It is therefore more complex to ensure the security of such networks and to protect them from cross-domain attacks. The main difficulty is to deal with the distinguish nature of grid infrastructure, that are: multi-sites networks, multi-administrative domains, dynamic collaboration between nodes and sites, high number of nodes to manage, no clear view of the external networks and exchange of security information among different administrative domains. To handle the above mentioned issues, I am proposing a Security Event Manager (SEM) called Grid Security Operation Center (GSOC). GSOC can assist IT security managers in giving a view of the security of the whole grid network without compromising confidentiality of security data. To do so, GSOC provides a security evaluation of each administrative domain (AD) depending on the number of security alerts reported. There are three security levels defined as level 1 is the most secure, level 2 is the more secure and level 3 is the least secure. This classification helps to identify the ADs that are under attacks or the ADs that are at high risk of being attacked in future. A two step time based correlation mechanism is proposed which reduces the security alerts and continue detecting attacks under intense distributed attacks. A parametric security alerts sharing scheme has been introduced. Security alerts can be shared at any time between the members of the grid computing network. This alert sharing informs the participating members to see the ongoing attacks on the other premises of the ADs without interfering in the security policy. This security alert sharing concept has been discussed in past but never implemented. GSOC is the first state of the art implementation of this idea. This alert sharing helps in blocking the propagation of cross-domain networks in grid computing networks.Ces dernières années, la sécurité est devenue un défi dans les réseaux informatiques. Les logiciels anti-virus, les pare-feu et les systèmes de détection d'intrusion ne suffisent pas à empêcher les attaques sophistiquées fabriquées par plusieurs utilisateurs. Les réseaux informatiques de grille sont souvent composés de différents domaines administratifs appartenant à différentes organisations. Chaque domaine peut avoir sa propre politique de sécurité et ne pas vouloir partager ses données de sécurité avec des réseaux moins protégés. Il est donc plus complexe d'assurer la sécurité de ces réseaux et de les protéger des attaques interdomaines. La principale difficulté est de traiter la nature distinctive de l'infrastructure du réseau, à savoir: les réseaux multi-sites, les domaines multi-administratifs, la collaboration dynamique entre les nœuds et les sites, le nombre élevé de nœuds à gérer, l'absence de vue claire des réseaux externes et l'échange d'informations de sécurité entre différents domaines administratifs. Pour gérer les problèmes mentionnés ci-dessus, je propose un Security Event Manager (SEM) appelé Grid Security Operation Center (GSOC). GSOC peut aider les responsables de la sécurité informatique à donner une vision de la sécurité de l'ensemble du réseau sans compromettre la confidentialité des données de sécurité. Pour ce faire, GSOC fournit une évaluation de sécurité de chaque domaine administratif (AD) en fonction du nombre d'alertes de sécurité signalées. Il y a trois niveaux de sécurité définis: le niveau 1 est le plus sécurisé, le niveau 2 est le plus sécurisé et le niveau 3 est le moins sécurisé. Cette classification aide à identifier les AD qui sont sous les attaques ou les AD qui sont à haut risque d'être attaqué à l'avenir. Un mécanisme de corrélation en deux temps est proposé, ce qui réduit les alertes de sécurité et continue à détecter les attaques dans le cadre d'attaques distribuées intensives. Un schéma de partage d'alertes de sécurité paramétrique a été introduit. Les alertes de sécurité peuvent être partagées à tout moment entre les membres du réseau informatique. Ce partage d'alertes informe les membres participants à voir les attaques en cours dans les autres locaux des AD sans interférer dans la politique de sécurité. Ce concept de partage d'alertes de sécurité a été discuté dans le passé mais n'a jamais été mis en œuvre. GSOC est la première mise en œuvre de cette idée à la fine pointe de la technologie. Ce partage d'alertes permet de bloquer la propagation des réseaux inter-domaines dans les réseaux informatiques de grille
Integrating a Blockchain-Based Governance Framework for Responsible AI
No full textThis research paper reviews the potential of smart contracts for responsible AI with a focus on frameworks, hardware, energy efficiency, and cyberattacks. Smart contracts are digital agreements that are executed by a blockchain, and they have the potential to revolutionize the way we conduct business by increasing transparency and trust. When it comes to responsible AI systems, smart contracts can play a crucial role in ensuring that the terms and conditions of the contract are fair and transparent as well as that any automated decision-making is explainable and auditable. Furthermore, the energy consumption of blockchain networks has been a matter of concern; this article explores the energy efficiency element of smart contracts. Energy efficiency in smart contracts may be enhanced by the use of techniques such as off-chain processing and sharding. The study emphasises the need for careful auditing and testing of smart contract code in order to protect against cyberattacks along with the use of secure libraries and frameworks to lessen the likelihood of smart contract vulnerabilities
Privacy Preservation in Smart Grid Environment
No full textSmart grids are conceived to ensure smarter generation, transmission, distribution, and consumption of electricity. It integrates the traditional electricity grid with information and communication technology. This enables a two-way communication among the smart grid entities, which translates to exchange of information about fine-grained user energy consumption between the smart grid entities. However, the flow of user energy consumption data may lead to the violation of user privacy. Inference on such data can expose the daily habits and types of appliances of users. Thus, several privacy preservation schemes have been proposed in the literature to ensure the privacy and security requirements of smart grid users. This chapter provides a review of some privacy preservation schemes. The schemes operational procedure, strengths, and weaknesses are discussed. A taxonomy, comparison table, and comparative analysis are also presented. The comparative analysis gives an insight on open research issues in privacy preservation schemes
- …
