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
Energy & Fuels
Manish Kumar Singla, Jyoti Gupta, Mohammed H. Alsharif, Abu Jahid
Summary: This article presents a cost-effective and reliable solution for meeting the energy demands of remote areas through the integration of multiple renewable energy sources. The proposed system aims to reduce dependence on fossil fuels and promote sustainable development by utilizing accessible energy resources in a self-contained microgrid. The study used HOMER software to optimize the combination of energy sources and storage technologies, and identified that the solar PV/fuel cell combination is more cost-effective, reliable, and efficient compared to the solar PV/battery combination. The proposed IHRES model offers a promising solution for meeting energy demands in remote areas while reducing dependence on fossil fuels and promoting sustainable development.
Article
Energy & Fuels
Gopu Venugopal, Arun Kumar Udayakumar, Adhavan Balashanmugham, Mohamad Abou Houran, Faisal Alsaif, Rajvikram Madurai Elavarasan, Kannadasan Raju, Mohammed H. Alsharif
Summary: This article proposes a technique for detecting and categorizing interturn insulation problems in variable-speed motor drives. It combines Salp Swarm Optimization (SSO) with Recurrent Neural Network (RNN) to identify and label the insulation concerns. The proposed technique improves the system precision by simplifying the detection and classification process. The model is implemented in MATLAB/Simulink and various metrics are analyzed for evaluation.
Article
Chemistry, Analytical
Vigneswara Rao Gannapathy, Rosdiadee Nordin, Asma Abu-Samah, Nor Fadzilah Abdullah, Mahamod Ismail
Summary: This research proposes an Adaptive TTT Handover (ATH) mechanism to deal with highly intermittent 5G mmWave wireless channel behaviors. An adaptive algorithm is developed to automatically adjust the handover control parameters based on the current state of the channel condition. The performance of the proposed handover mechanism is analyzed and evaluated in terms of handover probability, latency, and throughput. The comparative simulation result shows that the proposed adaptive handover mechanism performs excellently compared to conventional handovers and other enhancement techniques.
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.
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.
Review
Chemistry, Analytical
Annisa Anggun Puspitasari, To Truong An, Mohammed H. Alsharif, Byung Moo Lee
Summary: This study is of great significance in applying ML algorithms and their derivatives to optimize emerging 6G technologies and meet the visions and requirements of the 6G network.
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
Saddam Alraih, Rosdiadee Nordin, Asma Abu-Samah, Ibraheem Shayea, Nor Fadzilah Abdullah
Summary: HO management is crucial in mobile cellular networks, especially in 5G and Beyond systems. The requirements and technologies in B5G present new challenges for HO optimization, which necessitate new solutions. This study comprehensively discusses the challenges and solutions for HO optimization in B5G, providing a research background, investigating future directions, and highlighting recent techniques and technological solutions.
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.
