Review of Contemporary Energy Harvesting Techniques and Their Feasibility in Wireless Geophones

Energy harvesting converts ambient energy to electrical energy providing numerous opportunities to realize wireless sensors. Seismic exploration is a prime avenue to benefit from it as energy harvesting equipped geophones would relieve the burden of cables which account for the biggest chunk of exploration cost and equipment weight. Since numerous energies are abundantly available in seismic fields, these can be harvested to power up geophones. However, due to the random and intermittent nature of the harvested energy, it is important that geophones must be equipped to tap from several energy sources for a stable operation. It may involve some initial installation cost but in the long run, it is cost-effective and beneficial as the sources for energy harvesting are available naturally. Extensive research has been carried out in recent years to harvest energies from various sources. However, there has not been a thorough investigation of utilizing these developments in the seismic context. In this survey, a comprehensive literature review is provided on the research progress in energy harvesting methods suitable for direct adaptation in geophones. Specifically, the focus is on small form factor energy harvesting circuits and systems capable of harvesting energy from wind, sun, vibrations, temperature difference, and radio frequencies. Furthermore, case studies are presented to assess the suitability of the studied energy harvesting methods. Finally, a design of energy harvesting equipped geophone is also proposed

Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects

Integrated Sensing and Communication (ISAC), combined with data-driven approaches, has emerged as a highly significant field, garnering considerable attention from academia and industry. Its potential to enable wide-scale applications in the future sixth-generation (6G) networks has led to extensive recent research efforts. Machine learning (ML) techniques, including $K$-nearest neighbors (KNN), support vector machines (SVM), deep learning (DL) architectures, and reinforcement learning (RL) algorithms, have been deployed to address various design aspects of ISAC and its diverse applications. Therefore, this paper aims to explore integrating various ML techniques into ISAC systems, covering various applications. These applications span intelligent vehicular networks, encompassing unmanned aerial vehicles (UAVs) and autonomous cars, as well as radar applications, localization and tracking, millimeter wave (mmWave) and Terahertz (THz) communication, and beamforming. The contributions of this paper lie in its comprehensive survey of ML-based works in the ISAC domain and its identification of challenges and future research directions. By synthesizing the existing knowledge and proposing new research avenues, this survey serves as a valuable resource for researchers, practitioners, and stakeholders involved in advancing the capabilities of ISAC systems in the context of 6G networks.Comment: ISAC-ML surve

Occurrence of Gastrointestinal Parasitism of Cows and Therapeutic Efficacy of Albendazole in Tehsil Tandlianwala, Faisalabad

Parasitism is a relationship between the organisms in which one lives as a parasite on another and is the main health problem of cattle and all other domesticated ruminants all over the world. The major problems in cattle confronted are; Fascioliasis, Paramphistomiasis etc because of presence of various helminthes parasites in the GIT (gastrointestinal tract) of the cattle resulting in huge economic losses to livestock industry. The present study was designed to investigate the prevalence of gastrointestinal parasitism of cattle and therapeutic efficacy of albendazole with the dose rate of 5mg/kg body weight in tehsil Tandlianwala, Faisalabad, in the months of January to April, 2017. For this purpose, a total of 384 cattle were selected and fecal samples were directly collected per rectum with sterilized gloves for every animal in plastic containers. The collected fecal samples were managed and inspected using qualitative practices (floatation and sedimentation) and measurable parasitological practices using McMaster egg counting approaches. Those fecal samples positive for Strongyles, Trichuris, Toxocara, and Monezia were subjected to egg yield (eggs per gram, EPG) of feces count using McMaster egg counting practice and the degree of infestation was branded. It was deduced from the results that out of 384 animals; 146 animals were infested with mentioned worms showing 38.02% prevalence of the gastrointestinal parasites in cattle in the months of January, February, March and April in Tehsil Tandlianwala, Faisalabad. Furthermore, the infested animals were treated using albendazole and  103 animals were recovered with it revealing 70.54% therapeutic efficacy of the drug

Blockchain adoption for sustainable supply chain management : economic, environmental, and social perspectives

Due to the rapid increase in environmental degradation and depletion of natural resources, the focus of researchers is shifted from economic to socio-environmental problems. Blockchain is a disruptive technology that has the potential to restructure the entire supply chain for sustainable practices. Blockchain is a distributed ledger that provides a digital database for recording all the transactions of the supply chain. The main purpose of this research is to explore the literature relevant to blockchain for sustainable supply chain management. The focus of this review is on the sustainability of the blockchain-based supply chain concerning environmental conservation, social equality, and governance effectiveness. Using a systematic literature review, a total of 136 articles were evaluated and categorized according to the triple bottom-line aspects of sustainability. Challenges and barriers during blockchain adoption in different industrial sectors such as aviation, shipping, agriculture and food, manufacturing, automotive, pharmaceutical, and textile industries were critically examined. This study has not only explored the economic, environmental, and social impacts of blockchain but also highlighted the emerging trends in a circular supply chain with current developments of advanced technologies along with their critical success factors. Furthermore, research areas and gaps in the existing research are discussed, and future research directions are suggested. The findings of this study show that blockchain has the potential to revolutionize the entire supply chain from a sustainability perspective. Blockchain will not only improve the economic sustainability of the supply chain through effective traceability, enhanced visibility through information sharing, transparency in processes, and decentralization of the entire structure but also will help in achieving environmental and social sustainability through resource efficiency, accountability, smart contracts, trust development, and fraud prevention. The study will be helpful for managers and practitioners to understand the procedure of blockchain adoption and to increase the probability of its successful implementation to develop a sustainable supply chain network

MULTI-SCALE ANALYSIS TECHNIQUES IN PATTERN RECOGNITION SYSTEMS

Dedicated to the most loving and precious to me, my mother Badar Jehan and my father Masood Ali, who always give the best of themselves to support me. ACKNOWLEDGEMENTS In the name of Allah, the Most Gracious and the Most Merciful All praise and glory goes to Almighty Allah (Subhanahu Wa Ta’ala) who gave me the courage and patience to carry out this work. Peace and blessings of Allah be upon His last Prophet Muhammad (Sallulaho-Alaihe-Wassalam) and all his Sahaba (Razi-Allaho-Anhum) who devoted their lives towards the prosperity and spread of Islam. First and foremost gratitude is due to the esteemed university, the King Fahd University of Petroleum and Minerals, and to its learned faculty members for imparting quality learning and knowledge with their valuable support and able guidance that has led my way through this point of undertaking my research work. My deep appreciation and heartfelt gratitude goes to my thesis advisor Dr. Mo-hamed Deriche for his constant endeavour, guidance and the numerous moments of attention he devoted throughout the course of this research work. He was always there to listen and to give advice. He taught me how to ask questions and express ii my ideas. He showed me different ways to approach a research problem and the need to be persistent to accomplish any goal. Working with him in a friendly and motivating environment was really a joyful and learning experience. I extend my deepest gratitude to my thesis committee members Dr. Azzedine Zer-guine and Dr. Umar Al-Suwailem who gave insightful comments and reviewed my work on a very short notice. I would also acknowledge Dr. Asrar for his cooperation in providing the TRL lab facility. I would like to acknowledge Dr. Muhammad Hafiz Afzal for providing unconditional support, love and guidance to help us follow and understand the right path, our re-ligion Islam. Its also due to him that I consider the period of my stay here in Saudi Arabia as the most important in my life. Acknowledgement is due to my senio