Review
Chemistry, Multidisciplinary
Emilia Gontarek-Castro, Roberto Castro-Munoz
Summary: There is an urgent need to develop new water resources to meet the growing demand for clean water. Membrane distillation (MD) is a promising alternative to traditional seawater desalination. However, there are many unsustainable factors in membrane manufacture and process operation, such as the use of non-biodegradable polymers and toxic solvents, as well as the generation of large amounts of wastewater. This review critically addresses recent advances in methods and strategies to improve the sustainability of MD technology and calls for the development of a greener next-generation MD process.
Article
Computer Science, Information Systems
Cheng-Xiang Wang, Xiaohu You, Xiqi Gao, Xiuming Zhu, Zixin Li, Chuan Zhang, Haiming Wang, Yongming Huang, Yunfei Chen, Harald Haas, John S. Thompson, Erik G. Larsson, Marco Di Renzo, Wen Tong, Peiying Zhu, Xuemin Shen, H. Vincent Poor, Lajos Hanzo
Summary: 5G has been commercially deployed, providing new services and improved user experiences to users, and offering novel opportunities to various industries. However, it still faces challenges, leading to research on 6G wireless communication systems by international organizations. This paper comprehensively presents the vision, technical requirements, and application scenarios of 6G, critically evaluates its network architecture and key technologies, introduces existing testbeds and advanced verification platforms, and identifies future research directions and open challenges.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2023)
Review
Computer Science, Information Systems
Simeon Okechukwu Ajakwe, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae-Min Lee
Summary: This article provides an introspective analysis of the performance of wearable devices in achieving innovative healthcare delivery, considering the challenges in translating wearable data from clinical trials to practical medical applications. Despite the growth in the market and improvement in communication technologies, there are still obstacles to overcome in leveraging the full potential of wearable devices in healthcare.
Review
Chemistry, Analytical
Mario Pons, Estuardo Valenzuela, Brandon Rodriguez, Juan Arturo Nolazco-Flores, Carolina Del-Valle-Soto
Summary: This paper presents the 5G and IoT technologies, explaining common architectures, typical IoT implementations, and recurring problems. The focus is on interference and unique interference in 5G and IoT, as well as possible optimization techniques. The study highlights the importance of addressing interference and optimizing network performance in 5G networks to ensure reliable and efficient connectivity for IoT devices.
Article
Telecommunications
Zixin Wang, Bin Cao, Chenxi Liu, Congfang Xu, Lei Zhang
Summary: In this article, a secure yet trustless Blockchain-based F-RAN (BF-RAN) is proposed to address the security vulnerabilities in wireless networks. BF-RAN leverages the key features of blockchain to enable a large-scale trusted cooperative network, and tackles the challenges in access control, dynamic resource management, and network deployment.
DIGITAL COMMUNICATIONS AND NETWORKS
(2022)
Review
Green & Sustainable Science & Technology
Yusuf Olayinka Imam-Fulani, Nasir Faruk, Olugbenga A. Sowande, Abubakar Abdulkarim, Emmanuel Alozie, Aliyu D. Usman, Kayode S. Adewole, Abdulkarim A. Oloyede, Haruna Chiroma, Salisu Garba, Agbotiname Lucky Imoize, Bashir Abdullahi Baba, Abdulwaheed Musa, Yinusa A. Adediran, Lawan S. Taura
Summary: The rapid increase in data traffic due to smart devices has driven the demand for large-capacity wireless networks with faster transmission rates and greater spectral efficiency. While existing reviews on 5G wireless systems have only covered a subset of enabling technologies, this study comprehensively examines various aspects of 5G and its potential in developing future wireless communication systems. The findings highlight the critical role of enabling technologies in building robust and scalable 5G networks.
Article
Computer Science, Information Systems
Edward J. Oughton, William Lehr
Summary: Techno-economic assessment is crucial for evaluating new communication technologies, but there is still limited comprehensive evaluation of the fifth cellular generation (5G). It is important to review current achievements in 5G technologies to guide ongoing 6G research and support engineers in providing global high-capacity, low-latency broadband connectivity.
Article
Computer Science, Information Systems
Ali Sufyan, Khan Bahadar Khan, Osama A. Khashan, Talha Mir, Usama Mir
Summary: The emergence of 5G network addresses the challenges of rapid growth in mobile subscribers, disruptive IoT-based applications, and immense channel capacity requirements for connecting trillions of devices. It provides significant capacity gain, quality-of-service assurance, higher spectral efficiency, improved device battery life, and massive machine-type communication to meet user demands and tackle the traffic load and resource consumption in 5G applications.
Article
Environmental Sciences
Mateusz Samoraj, Malgorzata Mironiuk, Anna Witek-Krowiak, Grzegorz Izydorczyk, Dawid Skrzypczak, Katarzyna Mikula, Sylwia Basladynska, Konstantinos Moustakas, Katarzyna Chojnacka
Summary: According to the concept of circular economy, the production of fertilizers should be done in a closed loop to minimize environmental impact. The collection and transport of biological wastes pose challenges as they emit greenhouse gases and pose health hazards. This study reviews the use of biochar in fertilizers and proposes soil application as the best method for biochar management, highlighting its advantages in improving soil quality, reducing pollution and greenhouse gas emissions, and enhancing plant growth.
Article
Biotechnology & Applied Microbiology
Willy Verstraete, Keren Yanuka-Golub, Nele Driesen, Jo De Vrieze
Summary: Microbial technologies can play a crucial role in tackling the challenges of climate change by providing solutions in both natural and engineered ecosystems. Effective management of microbial communities, closing the water cycle, integrating resource recovery, and focusing on the interaction between humans/animals and their microbiomes are key factors in utilizing microbial technologies to address current challenges.
MICROBIAL BIOTECHNOLOGY
(2022)
Review
Computer Science, Information Systems
Jacopo Iannacci, H. Vincent Poor
Summary: This article focuses on the predicted gap between currently used strategies for the design of hardware-software systems and the demands of AI-driven 6G in terms of adaptability, flexibility, and evolution. It also highlights the role of micro/nano technologies in enabling 6G functionalities and partially reconceptualizing the traditional idea of hardware to enhance its level of abstraction.
Review
Acoustics
Elisa Mercadelli, Carmen Galassi
Summary: Ferroelectric ceramics are technologically important materials used in various devices, and introducing porosity can tune their functional properties. The most widely used processing techniques include replica technique, direct foaming, sacrificial template method, and additive manufacturing, providing effective and practical production strategies for the development of porous PZT-based materials for specific applications.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Editorial Material
Multidisciplinary Sciences
Sara Abdou, Nikki Forrester
Summary: Biotechnologist Sara Abdou investigates the genetics behind color regulation in ornamental flowers.
Review
Materials Science, Multidisciplinary
Francis Owusu, Thulasinath Raman Venkatesan, Frank A. Nueesch, Ricardo Martin Negri, Dorina M. Opris
Summary: Piezoelectrics are important in modern electronics and electric devices, but integrating them into flexible wearable electronics has been a challenge. Researchers have been focusing on developing piezoelectric materials with improved properties to overcome this limitation. This review summarizes the recent developments in the field of piezoelectric elastomers and discusses their potential applications in sensors and energy harvesting.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
News Item
Biochemical Research Methods
Vivien Marx
Summary: Some researchers are lucky enough to have two academic affiliations, although sometimes these affiliations are not conveniently located for commuting.
Article
Green & Sustainable Science & Technology
Kanchana Kadirvel, Raju Kannadasan, Mohammed H. Alsharif, Zong Woo Geem
Summary: Electric vehicles are becoming highly preferred in domestic transportation systems due to the increasing demand and cost of fuel. Companies like Tesla, BMW, Audi, and Mercedes have entered the market with their EV offerings. This study proposes an improved interleaved phase-shifted semi-bridgeless boost converter for EV battery charging, which achieves faster charging speed and increased current injection compared to conventional converters.
Review
Robotics
Syed Agha Hassnain Mohsan, Nawaf Qasem Hamood Othman, Yanlong Li, Mohammed H. H. Alsharif, Muhammad Asghar Khan
Summary: Unmanned aerial vehicles (UAVs) or drones are widely used in various fields such as economy, commerce, leisure, military and academics. Despite facing limitations, UAVs show great potential and offer a range of features and capabilities, along with challenges and security issues. This study provides valuable insights into the potentials and characteristics of UAVs, along with future research directions.
INTELLIGENT SERVICE ROBOTICS
(2023)
Article
Computer Science, Information Systems
Mohd Fazuwan Ahmad Fauzi, Rosdiadee Nordin, Nor Fadzilah Abdullah, Haider A. H. Alobaidy, Mehran Behjati
Summary: Nowadays, the use of high-performance digital mobile connectivity is not only limited to humans but also includes intelligent objects for IoT applications. However, the current network planning technique limitations hinder the full potential of mobile digital connectivity development, thus hindering sustainable internet-oriented economic and technological development. In order to address this issue, a novel ML-based Online coverage Estimator (MLOE) tool is proposed, which leverages machine learning algorithms to enhance mobile network planning performance. The results show that MLOE outperforms traditional techniques and achieves a high accuracy level.
Article
Computer Science, Information Systems
Arun Kumar, J. Venkatesh, Nishant Gaur, Mohammed H. Alsharif, Abu Jahid, Kannadasan Raju
Summary: More spectrum bands are needed due to the increase in wireless applications. However, adapting the spectrum bands to new applications has become difficult, leading to a crowded spectrum and decreased quality of service. Cognitive radio, specifically spectrum sensing, is a promising technology to address this issue. In this study, a novel 5G spectrum sensing technique using a hybrid matched filter algorithm was implemented, and its performance was compared to traditional matched filtering in different channels. The hybrid matched filter demonstrated superior effectiveness in both Rayleigh and Rician channels.
Article
Chemistry, Analytical
Ammar Riadh Kairaldeen, Nor Fadzilah Abdullah, Asma Abu-Samah, Rosdiadee Nordin
Summary: Blockchain brings challenges in terms of user identity reliability and identity management systems, specifically detecting tampered identities linked to IoT applications. This study aims to optimize user identity verification time by utilizing an efficient encryption algorithm for user signature in a decentralized peer-to-peer IoT blockchain network. The research examines a user signature-based identity management framework using different encryption techniques and compares various hash functions built on the Modified Merkle Hash Tree (MMHT) algorithm. Through testing different dataset sizes based on transactions between nodes, the results show that the MMHT algorithm using SHA3 and AES-128 encryption algorithm achieves the lowest execution time, offering at least a 36% improvement in time optimization compared to other algorithms. This work not only identifies malicious codes but also enhances user integrity check performance in a blockchain network while ensuring network scalability, providing a comprehensive evaluation of blockchain networks considering their types, properties, components, and algorithm taxonomy.
Review
Computer Science, Information Systems
Muhammad Asghar Khan, Neeraj Kumar, Syed Agha Hassnain Mohsan, Wali Ullah Khan, Moustafa M. Nasralla, Mohammed H. Alsharif, Justyna Zywiolek, Insaf Ullah
Summary: Fifth-generation (5G) cellular networks have led to beyond 5G (B5G) networks that can incorporate autonomous services into swarms of unmanned aerial vehicles (UAVs). These networks provide capacity expansion strategies to address massive connectivity issues and ensure high throughput and low latency in extreme or emergency situations. On the other hand, 6G technology integrates AI/ML, IoT, and blockchain to establish reliable, intelligent, secure, and ubiquitous UAV networks, but also poses new challenges for swarm UAVs due to new enabling technologies and unique network design.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Bikash Ranjan Behera, Sanjeev Kumar Mishra, Mohammed H. Alsharif, Abu Jahid
Summary: Due to the widespread use of low-power embedded devices, research into alternate energy sources is necessary. RF energy is always considered due to its accessibility. A comprehensive study on a reflective-inspired reconfigurable antenna integrated with a rectifier circuit is reported, providing broadband circular polarization and directional radiation. The findings highlight the potential for addressing limitations in RF energy harvesting.
Article
Computer Science, Information Systems
Ali H. Wheeb, Rosdiadee Nordin, Asma' Abu Samah, Dimitris Kanellopoulos
Summary: The widespread usage of unmanned aerial vehicles (UAVs) in new and emerging applications requires dynamic and adaptive networking. Routing protocols for UAV ad hoc networks face challenges due to unique characteristics of UAVs, such as rapid mobility and limited energy consumption. The Optimized Link State Routing (OSLR) protocol shows promise as it offers improved delay performance. This study evaluates and examines the performance of several OLSR routing protocols in different search and rescue scenarios, and concludes that ML-OLSR outperforms other protocols in terms of packet delivery ratio, latency, energy consumption, and throughput.
Article
Engineering, Marine
Abdul Razzaq, Syed Agha Hassnain Mohsan, Yanlong Li, Mohammed H. Alsharif
Summary: This study presents an architectural framework and algorithms as a solution for designing and developing an IoUT system. It includes recommendations and forecasts for potential partners in the smart ocean. A case study is implemented to assess the system's usability and agility in exploiting sensor data, executing algorithms, and querying outputs for performance evaluation.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Manish Kumar Singla, Jyoti Gupta, Parag Nijhawan, Mohammed H. Alsharif, Mun-Kyeom Kim
Summary: A new optimum approach is presented for estimating the unknown parameters of a DMFC stack using a mathematical model. The proposed method minimizes the Sum of Squared Errors based on experimental data and is compared to other metaheuristic algorithms. The results show that the proposed algorithm outperforms the other algorithms.
Review
Energy & Fuels
Manish Kumar Singla, Jyoti Gupta, Parag Nijhawan, Amandeep Singh Oberoi, Mohammed H. H. Alsharif, Abu Jahid
Summary: This manuscript provides a comprehensive review of unitized regenerative fuel cells (URFCs) and their significance in Remote Area Power Supply (RAPS). URFCs offer a potential solution to reduce the expenses of solar hydrogen renewable energy systems in RAPS by combining the functionalities of the electrolyzer and fuel cell into a single unit. They are particularly well-suited for RAPS applications as the electrolyzer and fuel cell do not need to operate simultaneously.
Article
Energy & Fuels
Subhojit Dawn, Gummadi Srinivasa Rao, M. L. N. Vital, K. Dhananjay Rao, Faisal Alsaif, Mohammed H. Alsharif
Summary: Profit maximization is crucial in power system control, especially in renewable-associated power systems. The utilization of V2G technology, using vehicles as mobile storage devices during off-peak hours, can enhance system profitability and have an impact on system voltage profiles and pricing.
Article
Engineering, Multidisciplinary
Arun Kumar, Aziz Nanthaamornphong, R. Selvi, J. Venkatesh, Mohammed H. Alsharif, Peerapong Uthansakul, Monthippa Uthansakul
Summary: Smart Hospital will play a key role in improving the quality of healthcare services. Integrating technology with traditional hospitals allows for remote access to medical facilities, saving time and improving efficiency. This research focuses on enhancing power savings, spectral access, latency, and Bit error rate of 5G waveforms, while also examining the role of IoT and AI in smart hospitals.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Shanmugavadivu Natarajan, Raju Kannadasan, Faisal Alsaif, Mohammed H. Alsharif
Summary: This paper presents a modified double-ended forward converter (DEFC) designed for stepper motor-based robotic applications. The proposed converter topology provides galvanic isolation between the input and output, along with higher efficiency and a smooth operative system. The control strategy for the converter utilizes Proportional Integral (PI) to regulate output voltage and current, implemented using a microcontroller-based system. Experimental results demonstrate the effectiveness of the proposed topology and control strategy, making it a promising option for future robotic systems.
Article
Computer Science, Information Systems
Ashish Bagwari, J. Logeshwaran, K. Usha, Kannadasan Raju, Mohammed H. Alsharif, Peerapong Uthansakul, Monthippa Uthansakul
Summary: Industrial wireless sensor networks (WSNs) are popular due to scalability and low cost, but face challenges in energy optimization and network maintenance. Machine Learning techniques are used to create an enhanced energy optimization model, identifying and optimizing node energy consumption and predicting optimal outcomes.
