Article
Green & Sustainable Science & Technology
Kyoung Hoon Chu, Byoung Geun Oh, Seungho Kook, Jeongho Ko, Jihun Lim, Hyeong Kyu Kim, Kyu-Jung Chae, Moon-Hyun Hwang
Summary: This study aimed to reduce operation and maintenance costs for 20 brackish water desalination plants in South Korea by comparing BWRO and LPRO membranes in terms of specific energy consumption reduction. Strategies such as optimizing plant design and increasing operation rates were proposed to lower O&M costs and improve SEC, with LPRO membrane installation showing potential for a 16% improvement due to pump optimization and high recovery.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Sojung Kim, Youngjin Kim, Youngjae On, Junyong So, Chang-Yong Yoon, Sumin Kim
Summary: This study aims to develop a hybrid performance model for an Agrophotovoltaic (APV) system that produces both electricity and crops. By integrating a physical model and polynomial regression approach, the model can accurately predict the electricity generation and crop production in the APV system. The model takes into account environmental and physical factors, providing a more accurate prediction of the APV system's performance.
Article
Chemistry, Physical
Xia Zhang, Qing Sheng Wei, Byeong Soo Oh
Summary: Diesel engine power plants are still widely used on remote islands in South Korea, but they have disadvantages. A case study conducted on Ui Island aimed to provide a zero emissions solution using renewable energy sources in an off-grid application. The PV/wind/battery/PEMFC system was found to be the best system.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Telecommunications
Pengfei Du, Hongjiang Lei, Imran Shafique Ansari, Jianbo Du, Xiaoli Chu
Summary: In this paper, a hybrid-energy-powered cellular network is optimized to minimize the total energy cost by optimizing energy sharing, battery charging and discharging rates, and energy purchased from the grid. Uncertainties in renewable energy and wireless traffic demands are characterized using a new ambiguity set, and the optimization problem is transformed into a tractable second-order cone programming problem using distributionally robust optimization approach. A low-complexity distributionally robust chance-constrained energy management algorithm is proposed and simulation results demonstrate its superiority over existing methods in terms of computational complexity, energy cost, and reliability.
DIGITAL COMMUNICATIONS AND NETWORKS
(2023)
Article
Public, Environmental & Occupational Health
Kyung-Bok Son
Summary: The study found that the market exclusivity of originator drugs in South Korea has not significantly changed, but competition among non-new drug approvals is less common than expected. Additionally, the entry of generics, particularly for non-NDAs in injection forms and biologics, is delayed in the long run, partially due to market attractiveness.
FRONTIERS IN PUBLIC HEALTH
(2021)
Article
Engineering, Biomedical
Jing Xie, Min Bao, Xinyu Hu, Werner J. H. Koopman, Wilhelm T. S. Huck
Summary: Cells respond to mechanical cues from the extracellular matrix by adjusting their cytoskeleton and forming focal adhesions, which can lead to changes in ATP levels and activation of AMPK. This can affect cell spreading and tension, as well as influence stem cell fate in response to ECM mechanics. Lowered ATP levels on softer substrates limit cellular mechanoresponses.
Article
Green & Sustainable Science & Technology
Yeon-Ju Choi, Byeong-Chan Oh, Moses Amoasi Acquah, Dong-Min Kim, Sung-Yul Kim
Summary: This study presents a floating photovoltaic system integrated with an existing pumped hydroelectric system to form an island microgrid with a hybrid power system, aiming to address the issue of limited land availability in South Korea hindering the growth of photovoltaic systems and the microgrid market.
Review
Green & Sustainable Science & Technology
Timothy Gordon Walmsley, Matthias Philipp, Martin Picon-Nunez, Henning Meschede, Matthew Thomas Taylor, Florian Schlosser, Martin John Atkins
Summary: This review discusses how renewable energy from various sources can supply heating, cooling, and power to industrial utility systems. It establishes the HYRES framework, explores critical renewable energy technologies and their integration, and proposes directions for future research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Review
Endocrinology & Metabolism
Lore Metz, Laurie Isacco, Leanne M. Redman
Summary: The impact of oral contraceptives on body weight is still unclear and requires further research. Contrary to just being a contraceptive method, oral contraceptives also serve as a management strategy for certain health conditions, highlighting the complexity of their effects on energy balance and weight management.
METABOLISM-CLINICAL AND EXPERIMENTAL
(2022)
Article
Engineering, Electrical & Electronic
Youngdong Kim, Kyungdoh Kim, Hyesung Seok
Summary: The share of renewable energy has surpassed nuclear power in the UK, Germany, and Japan, but South Korea lags behind. In 2011, South Korea replaced feed-in-tariffs with renewable portfolio standards (RPSs), which require electricity producers to supply a percentage of renewable energy. This study investigates the effectiveness and fairness of RPSs, and proposes a new bidding model that considers fairness.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2023)
Review
Endocrinology & Metabolism
Steven B. Heymsfield, Brooke Smith, Jared Dahle, Samantha Kennedy, Nicole Fearnbach, Diana M. Thomas, Anja Bosy-Westphal, Manfred J. Muller
Summary: The basis of heat generation in the human body has been studied for over 2,000 years and is now recognized as resting energy expenditure (REE), influenced by biochemical reactions at subcellular and cellular levels. These reactions affect body size and shape, providing a crucial understanding of individual differences in REE, which is important in obesity research and clinical practice. This review critically examines the linkages between these reactions and organs, and the often-overlooked aspects of measuring basal heat production in humans.
Article
Multidisciplinary Sciences
Lu Guan, Xiao Fan Liu, Wujiu Sun, Hai Liang, Jonathan J. H. Zhu
Summary: This study collected a population-level Twitter network and proposed validation approaches to evaluate the dataset's validity. It also re-examined classical network and communication propositions on the national network.
Article
Engineering, Civil
Julian Garbiso, Ada Diaconescu, Marceau Coupechoux, Bertrand Leroy
Summary: This paper introduces a self-adaptive clustering system that achieves a suitable balance between data aggregation and communication congestion, improving fairness among car drivers. The system selects cluster heads using a distributive justice approach, enhancing the social acceptability of self-adaptive clustering.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Information Systems
Fubin Wang, Fang Yang, Jian Song, Zhu Han
Summary: This study proposes a genetic algorithm for cell zooming to achieve high energy efficiency in hybrid visible light communication (VLC) - radio frequency (RF) cellular networks. By optimizing transceiver association and load balancing, the algorithm improves energy efficiency through appropriate traffic scheduling. Simulation results demonstrate that the algorithm reduces total power consumption for both single and hybrid access, offering solutions for practical deployment of hybrid systems.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Environmental Studies
David S. Kelleher
Summary: This study aims to understand public opinion on nuclear facilities by examining their involvement in the policymaking process. The findings suggest that policy preferences are influenced by demographic characteristics, ideology, knowledge, information, and trust. Judgements regarding the credibility of different actors play a significant role in shaping attitudes towards nuclear facilities.
ENERGY RESEARCH & SOCIAL SCIENCE
(2022)
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
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
Anupma Gupta, Vipan Kumar, Dinesh Garg, Mohammed H. Alsharif, Abu Jahid
Summary: Terahertz imaging is the most important technique for early-stage breast cancer detection, as it reduces breast cancer-related fatalities and improves quality of life. The choice of the right sensor is crucial for the development of a high-quality THz imaging system.
Article
Green & Sustainable Science & Technology
Dilip Kumar, Yogesh Kumar Chauhan, Ajay Shekhar Pandey, Ankit Kumar Srivastava, Varun Kumar, Faisal Alsaif, Rajvikram Madurai Elavarasan, Md Rabiul Islam, Raju Kannadasan, Mohammed H. Alsharif
Summary: In this paper, a novel hybrid MPPT algorithm called PSO_ML-FSSO was proposed to improve the efficiency and reduce the settling time of solar PV systems. The algorithm was compared with other well-known methods and demonstrated superior performance. The findings highlight the potential of PSO_ML-FSSO for optimizing solar PV systems.
Review
Multidisciplinary Sciences
Mohammed. H. H. Alsharif, Abu Jahid, Anabi Hilary Kelechi, Raju Kannadasan
Summary: The rise of the internet of things has had a significant impact on the economy and environment due to the billions or trillions of interconnected devices. Energy consumption becomes a crucial issue with the use of sensors, and thus, developing energy-efficient and sustainable solutions for IoT is necessary. This article examines energy-efficient practices and strategies for IoT, focusing on four framework principles including M2M communications, WSN, RFID, and microcontroller units and ICs, aiming to contribute to the implementation of eco-sustainable and energy-efficient IoT technologies in the future.
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
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.