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1778 articles for “directivity”
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A Review of the Use of Direct Oral Anticoagulants for Treating Venous Thromboembolism in Patients with Cancer
Abstract: Venous thromboembolism is a common complication in patients with cancer. Treatment guidelines have long recommended low molecular weight heparin as the first-line therapy. There is a growing body of literature regarding direct oral anticoagulants in treating venous thromboembolism in these patients. The data regarding the use of direct oral anticoagulants in this population is reviewed as are the most current guidelines from the National Comprehensive Cancer Network. Keywords: Anticoagulants, venous …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 2, 2018 · pp. 15–17 Read article
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Brain Machine Interface: A Review of Current Technologies and Future Directions
Abstract: Brain Machine Interface (BMI) is a rapidly growing field that aims to establish direct communication between the brain and an external device. This technology has the potential to restore lost motor and sensory functions in people with neurological disorders or injuries. A brain-computer interface (BCI) is a technology that converts signals from the brain into instructions for computers or other gadgets. This innovation allows individuals to engage with their surroundings …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 14–24 Read article
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Enhancing the Direct Assessment Method for ABET Accreditation: A Proposal for a Lightweight, Comprehensive, Precise, and Informative Approach
Abstract: This study introduces a new method aimed at improving the direct assessment technique used for assessing students in the context of ABET accreditation. The traditional direct assessment method has long been utilized for ABET accreditation, involving steps such as goal identification, assessment planning, selection of assessment instruments, data collection and analysis, interpretation and evaluation, and feedback and improvement. While this approach has served as a valuable tool for evaluating student …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 12–27 Read article
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Smart Drive Assist Systems for Modern Vehicles: A Review of Current Advances and Future Directions
Abstract: Smart drive assist systems serve as advanced automotive companions, boasting three pivotal capabilities: blind spot monitoring, collision prevention, and adaptive lighting. Blind spot monitoring acts as a vigilant sentinel, overseeing areas beyond the driver's direct view and issuing alerts for potential blind spot intrusions during lane changes. Collision prevention acts as a protective shield, scanning the road ahead to notify the driver of impending collisions, affording crucial reaction time to …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 19–27 Read article
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A Comprehensive Review on IoT and Edge Computing in Electronics: Trends, Challenges, and Future Directions
Abstract: The Internet of Things (IoT) transformed the electronics industry by enabling ubiquitous connectivity between billions of devices. This has created an unprecedented amount of data, challenging traditional cloud-based architectures with latency, bandwidth, and security issues. Edge computing came as an additive architecture by distributing computation and bringing intelligence to IoT edges to provide real-time responsiveness and reduce dependence on centralized infrastructure. This study offers a thorough analysis of current developments …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 1–9 Read article
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Performance Evaluation of Direction of Arrival Estimation in Smart Antenna
Abstract: Direction of arrival (DOA) estimation has typically played a key role in signal processing. Its task is to find the directions impinging on an array antenna to increase the performance of the received signal. To use DOA estimation methods that are applicable to most environments has become the key of technique implementation. The traditional algorithms can get superior performance for DOA estimation in the rich receiving conditions, but they are …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 39–48 Read article
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Generalized Rail Clamping Sequences Based PWM (GRCPWM) Algorithm for Direct Torque Controlled Induction Motor Drive
Abstract: The paper presents Rail Clamping Sequence based Pulse Width Modulation (RCPWM) algorithms applied to Direct Torque Control (DTC) of induction motor drive. This RCPWM based DTC retains all the advantages of conventional DTC (CDTC), moreover it eliminates the complexity involved in SVPWM algorithm and results in reduced current ripple at higher modulation indices and lowers the switching losses at all modulation indices. To validate the proposed method, simulation through MATLAB …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 3, 2017 · pp. 38–59 Read article
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Case Study on Determination of Thermal Efficiency of Industrial Furnace by Direct & Indirect Method
Abstract: Abstract:Since few years there has been great demand for energy Audit as energy as become one of the most important factor for any industry. There has been constant efforts to minimize energy losses and energy audits are proper way to manage energy consumption of any industry. Energy Audit plays an important role as energy wastage is major issue in industries (energy spending accounts for ~ 10% of the average manufacturer's …
Published in Journal of Nuclear Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 19–25 Read article
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Torque Ripple Reduction in Induction Motor Drive Using Direct Torque Control Technique with Space Vector Modulation
Abstract: Three phase squirrel cage induction motor drives are widely used in industries for variable speed applications. This paper proposes the design and simulation of an induction motor (IM) drive with DTC-SVM (Direct Torque Control–Space Vector Modulation). The IGBT/Diode inverter switches are controlled by the DTC-SVM technique. The synthesis of vector selection table depends on the rotational direction of the stator flux vector. The control algorithm in DTC-SVM methods are based …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 1, 2015 · pp. 33–39 Read article
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Transient Response Analysis of DFIG Using Direct Rotor Control Technique
Abstract: This study has a depth of a logical outcome of indirect and direct rotor current-mode control technique (CMC). It deals with the rotor-side converter of induction generators in different grid fault conditions by doing simulation in MATLAB software; here improvement of the transient response is in focus, it concerns the dynamic performance achieved with the conventional method or indirect CMC method. In this study, two methods were being compared and …
Published in Trends in Electrical Engineering · Vol. 8, Issue 2, 2018 · pp. 39–45 Read article
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Study of Multistage LDAC System Aided Direct and Indirect Type of Dehumidifier with Solar Heating and Evaporative Cooling
Abstract: The aim of this paper is to study various studies done on multistage LDAC system. Some of the studies were based on a combination of multi-stage with VC systems to make it more effective. Some systems have an equal number of regenerator and dehumidifiers and some have only single regenerator between several dehumidifiers. Most of the systems have liquid desiccant type dehumidifiers but some use solid desiccant wheels for dehumidification. …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 15–20 Read article
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Surface-Driven Capillary Flow of Dyed Aqueous Ethanol in the PMMA Microchannel Fabricated by Maskless Lithography, Hot Embossing Lithography and Direct Bonding Technique
Abstract: AbstractPolymethylmethacrylate (PMMA) as polymer is used to fabricate a dual sudden expansion microchannel by the maskless lithography, hot embossing lithography and direct bonding technique inside the cleanroom laboratory. Dyed aqueous ethanol (90% dyed water, 10% ethanol) is used as working liquid to record the surface-driven capillary flow in the fabricated microfluidic device using a CMOS camera catching 25 frames per second with a corresponding time-scale resolution of 0.04 second. This …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 3, 2018 · pp. 37–40 Read article
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A Novel Approach for Enhancing Direct Hashing and Pruning for Association Rule Mining
Abstract: ABSTRACTData Mining has been considered as a promising field in the intersection of databases, artificial intelligence and machine learning. Association rule mining has been one of the most popular data mining subjects, which can be simply defined as finding interesting rules from large collections of data. This paper introduces an enhanced hashing approach in discovering associations for largeitemsets. The proposed hashing approach scans the entire database only once using the …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 1–8 Read article
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Server Based Operating System (OS) Research Direction for Future Smart World Using Internet of Things
Abstract: AbstractCommunication and data processing over Internet has become a research issue to the researchers of Internet of Things (IoT). Cloud computing is already familiar at present. Cloud computing offers servers, storage, databases, networking, software, analytics and more, over the Internet (“the cloud”). Companies offering these computing services over Internet (“the cloud”) and typically, charge for cloud computing services based on usage, similar to how you are billed for water or …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 26–32 Read article
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Research Survey of Data Mining with Processing in Different fields for Next Research Directions
Abstract: Data mining (DM) is a method used for mines the different category of related data in different research fields. This is a set of different techniques like classification, clustering, prediction, outlier analysis; decision making, regression etc used for gain the knowledge for intelligence computing. In this review, explain the different research papers, architecture with components of DM, processing of DM and applications of DM in various fields for next research …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 2, 2020 · pp. 5–9 Read article
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Effect of Transcranial Direct Current Stimulation (tDCS) in Somatosensory Evoked Potential (SSEP) in Normal Adolescents
Abstract: tDCS is a noninvasive brain stimulation technique in which a mild electrical direct current is applied through the scalp to send electrical impulses to the brain to increase or decrease the excitability in the neurons. Weak transcranial direct current stimulation can induce long lasting changes in cortical excitability. The electrodiagnostic approaches like Motor Evoked Potentials (MEP), Somato Sensory Evoked Potential (SSEP) and electromyography are used to measure the effect of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 3, Issue 2, 2013 · pp. 1–8 Read article
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Assessment of Hepatic Damage in Labeo rohita (Hamilton, 1822) Exposed to Azo dye C. I. Direct Green 6
Abstract: Textile industries are one of the major backbones of Indian economy. They are the major reason for contamination of water bodies and their toxicity to ecosystem is an alarming environmental issue. The present study was designed to evaluate the hepatotoxic effects of C.I. Direct Green 6 (DG 6), a commercially used textile azo dye on Labeo rohita fingerlings. For this, L. rohita fingerlings were exposed to three sublethal concentrations (2.5, …
Published in Research and Reviews : Journal of Veterinary Science and Technology Read article
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Applications of Machine Learning Algorithms in Health Data Science (HDS) for Next Research Directions: A Survey Report
Abstract: At present time, data science is the big trend in computer science. The functioning of this technology is purely based on other advanced technology known as machine learning (ML). Data science and ML are subsets of artificial intelligence (AI). When a process of data science is used in healthcare systems, the new system is known as health data science (HDS). HDS is a branch of data science used to handle …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 16–21 Read article
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Advancements in Reinforcement Learning: A Comprehensive Analysis of Algorithms, Applications, and Future Directions in Artificial Intelligence
Abstract: This work provides an overview of Reinforcement Learning (RL), an important field of artificial intelligence (AI) aims to provide the long-term benefits by learning a relating with a given environment. It spells out everything, what agents and environments do, to how rewards, states, and behaviours. It spent lot of time on looking the most usable RL algorithms, like DQN, SARSA, and Q-Learning. These studies provide a clear view of RL. …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 17–22 Read article
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Advancements and Future Directions in Polymers for Electric Vehicle Technology
Abstract: Plastics have become important internally in automotive applications, ranging from vehicle inner components to under the hood of the car, as they are flexible and help on improving fuel economy and reducing CO2 emissions by replacing metal. The last two years had seen a higher rate of electric car sales even though its adoption around the world was not at the same pace. There is still a doubt among the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 29–46 Read article