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                <text>Design and Development of Mobile Robot Manipulator for Patient Service During Pandemic Situations</text>
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                <text>Mobile robot; Pandemic situation; Patient service; Robotic arm</text>
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                <text>Time and manpower are important constraints for completing large-scale tasks in this rapidly growing civilization. In most of the regular and often carried out works, such as welding, painting, assembly, container filling, and so on, automation is playing a vital part in reducing human effort. One of the key and most commonly performed activities is picking and placing projects from source to destination. Constant monitoring of patient bodily indicators such as temperature, pulse rate, and oxygen level and service of the patients becomes challenging in the current pandemic condition to the nurses and medical staffs. In consideration to this, a mobile robot with an integrated robotic arm has been designed and developed which can be available for service of patients continuously alongside monitoring them in general ward as well as in ICU of hospitals.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Rout A.; Deepa B.B.V.L.; Pranay N.S.; Venkata Sai Rajkumar A.; Vardhan S.; Renin Francy T.</text>
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                <text>Lecture Notes in Mechanical Engineering, pp. 355-362.</text>
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                <text>Rout A., CHRIST (deemed to be) University Kengeri Campus, Bengaluru, 560074, India, Department of Industrial Design, National Institute of Technology Rourkela, Odisha, Rourkela, 769008, India; Deepa B.B.V.L., CHRIST (deemed to be) University Kengeri Campus, Bengaluru, 560074, India, Department of Industrial Design, National Institute of Technology Rourkela, Odisha, Rourkela, 769008, India; Pranay N.S., CHRIST (deemed to be) University Kengeri Campus, Bengaluru, 560074, India, Department of Industrial Design, National Institute of Technology Rourkela, Odisha, Rourkela, 769008, India; Venkata Sai Rajkumar A., CHRIST (deemed to be) University Kengeri Campus, Bengaluru, 560074, India, Department of Industrial Design, National Institute of Technology Rourkela, Odisha, Rourkela, 769008, India; Vardhan S., CHRIST (deemed to be) University Kengeri Campus, Bengaluru, 560074, India, Department of Industrial Design, National Institute of Technology Rourkela, Odisha, Rourkela, 769008, India; Renin Francy T., CHRIST (deemed to be) University Kengeri Campus, Bengaluru, 560074, India, Department of Industrial Design, National Institute of Technology Rourkela, Odisha, Rourkela, 769008, India</text>
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                <text>Application of fuzzy logic in multi-sensor-based health service robot for condition monitoring during pandemic situations</text>
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                <text>COVID-19; Fuzzy logic; Mobile robot; Patient condition monitoring; Patient service</text>
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                <text>Purpose: The purpose of this study is to plan and develop a cost-effective health-care robot for assisting and observing the patients in an accurate and effective way during pandemic situation like COVID-19. The purposed research work can help in better management of pandemic situations in rural areas as well as developing countries where medical facility is not easily available. Design/methodology/approach: It becomes very difficult for the medical staff to have a continuous check on patients condition in terms of symptoms and critical parameters during pandemic situations. For dealing with these situations, a service mobile robot with multiple sensors for measuring patients bodily indicators has been proposed and the prototype for the same has been developed that can monitor and aid the patient using the robotic arm. The fuzzy controller has also been incorporated with the mobile robot through which decisions on patient monitoring can be taken automatically. Mamdani implication method has been utilized for formulating mathematical expression of M number of if and then condition based rules with defined input Xj (j = 1, 2, . s), and output yi. The inputs and output variables are formed by the membership functions Aij(xj) and Ci(yi) to execute the Fuzzy Inference System controller. Here, Aij and Ci are the developed fuzzy sets. Findings: The fuzzy-based prediction model has been tested with the output of medicines for the initial 27 runs and was validated by the correlation of predicted and actual values. The correlation coefficient has been found to be 0.989 with a mean square error value of 0.000174, signifying a strong relationship between the predicted values and the actual values. The proposed research work can handle multiple tasks like online consulting, continuous patient condition monitoring in general wards and ICUs, telemedicine services, hospital waste disposal and providing service to patients at regular time intervals. Originality/value: The novelty of the proposed research work lies in the integration of artificial intelligence techniques like fuzzy logic with the multi-sensor-based service robot for easy decision-making and continuous patient monitoring in hospitals in rural areas and to reduce the work stress on medical staff during pandemic situation.  2024, Emerald Publishing Limited.</text>
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                <text>Rout A.; Mahanta G.B.; Biswal B.B.; Renin Francy T.; Vardhan Raj S.; B.B.V.L D.</text>
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                <text>Robotic Intelligence and Automation, Vol-44, No. 1, pp. 96-107.</text>
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                <text>Rout A., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Mahanta G.B., Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amrita School of Engineering, Chennai, India; Biswal B.B., Department of Industrial Design, National Institute of Technology Rourkela, Rourkela, India; Renin Francy T., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Vardhan Raj S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; B.B.V.L D., Department of Industrial Design, National Institute of Technology, Rourkela, India</text>
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                <text>Automatic Weld Features Identification and Weld Quality Improvement in Laser Sensor Integrated Robotic Arc Welding</text>
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                <text>Laser sensor; Positional accuracy; Robotic arc welding; Weld seam</text>
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                <text>In this study, an integration of point laser sensor in robotic arc welding has been performed for achieving robotic positional accuracy automatically in every welding cycle. With the help of defined focal length of laser sensor, weld seam positions as well as weld gap have been found automatically for any newly positioned work-piece. If there is any change in robot positioning compared to the master job, the shift in every axis is sent as signal to the robot controller so that robot end effector will adjust the shift amount automatically. The welding process parameters are set at optimal values. Taguchi approach so that maximum values of weld quality in terms of depth of penetration, yield strength and ultimate strength can be achieved in every welding cycle. Overall, with the proposed approach, a smart and productive way of operating industrial welding robot has been proposed which can be implemented in any medium to large scale industries for obtaining welding joints with minimum defects.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Rout A.; Mahanta G.B.; Deepak B.; Renin Francy T.</text>
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                <text>Lecture Notes in Mechanical Engineering, pp. 303-313.</text>
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                <text>Rout A., CHRIST (Deemed to be University), Bangalore, India; Mahanta G.B., Amrita Viswa Vidyapeetham, Chennai Campus, India; Deepak B., National Institute of Technology, Rourkela, India; Renin Francy T., CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Non-alcoholic fatty liver disease (NAFLD) is an expanding health threat, posing significant risks for long-term complications. Early detection and intervention are crucial, but traditional diagnostic methods can be expensive and invasive.This study investigates the utilization of machine learning models for predicting liver diseases from various out-sourced datasets..We employed Decision Trees, Random Forests, and Support Vector Machines (SVMs) to predict NAFLD based on various clinical and demographic features. Model performance was evaluated by calculating accuracy, precision,deviation and accuracy-score.All these models achieved promising accuracy levels, ranging from 80% to 90%, showcasing their potential for NAFLD prediction. Among them, XG-Boost demonstrated the highest performance, with an accuracy of 90% and more.This study demonstrates the effectiveness of machine learning models in predicting NAFLD with high accuracy using readily available data. Further research with larger sized and more varied datasets will vindicate these models for real-world application in clinical settings.   2024 IEEE.</text>
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                <text>ISBN: 979-835030775-7</text>
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                <text>Rout A., Kalinga Institute of Industrial Technology, Odisha, India; Mishra S., Kalinga Institute of Industrial Technology, Odisha, India; Sharma V., Kalinga Institute of Industrial Technology, India; Chiadika O.D.-M., Christ (Deemed to Be University), Department of Computational Sciences, Delhi NCR, India; Tonukari T.T., Electronic and Computer Engineering Brunel University, London, United Kingdom; Iwendi C., University of Bolton, School of Creative Technologies, United Kingdom</text>
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                <text>Development of LIDAR-SLAM Integrated Low Cost Health Care Monitoring Robot with Sustainable Material</text>
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="166694">
                <text>3D LIDAR; health care monitoring robot; localization and mapping; patient assistance; sustainable innovation</text>
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                <text>Beyond the global pandemic, healthcare has faced a myriad of challenges, from rising costs and accessibility issues to the need for precision in patient care and efficient medication delivery. This project embodies a visionary response to the multifaceted challenges faced by healthcare systems in health centers located in rural areas. The proposed research work focused on design and development of a health care monitoring robot with integration of 3D LIDAR Simultaneous Localization and Mapping (SLAM) based navigation approach, introduction of sustainable materials like bamboo and wood composites for development of robotic arm and robotic body frames. Also, from the initial tests it has been observed that with the developed mobile robot functions like precision medicine delivery, Open AI-Enabled continuous monitoring, hospital environment sanitization and emergency oxygen supply can be performed efficiently.   2024 IEEE.</text>
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                <text>Rout A.; Reddy H.; Raj S.V.; Reddy B.; Naidu L.; Kiran K.; Ravikumar R.</text>
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                <text>2024 9th International Conference on Control and Robotics Engineering, ICCRE 2024, pp. 12-16.</text>
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              <elementText elementTextId="166698">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICCRE61448.2024.10589609" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCRE61448.2024.10589609&lt;/a&gt;
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              <elementText elementTextId="166701">
                <text>Restricted Access</text>
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                <text>ISBN: 979-835037269-4</text>
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                <text>Rout A., CHRIST (Deemed to be University), Dept. of Mechanical and Automobile Engineering, Bangalore, India; Reddy H., CHRIST (Deemed to be University), Dept. of Mechanical and Automobile Engineering, Bangalore, India; Raj S.V., CHRIST (Deemed to be University), Dept. of Mechanical and Automobile Engineering, Bangalore, India; Reddy B., CHRIST (Deemed to be University), Dept. of Mechanical and Automobile Engineering, Bangalore, India; Naidu L., CHRIST (Deemed to be University), Dept. of Mechanical and Automobile Engineering, Bangalore, India; Kiran K., CHRIST (Deemed to be University), Dept. of Mechanical and Automobile Engineering, Bangalore, India; Ravikumar R., CHRIST (Deemed to be University), Dept. of Mechanical and Automobile Engineering, Bangalore, India</text>
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        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="185118">
                <text>Influence of cryogenic treatment of cutting tool inserts on tool wear and surface roughness during milling of Inconel 718</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="185119">
                <text>ceramics; cryogenic treatment; surface roughness; Tungsten carbide</text>
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            </elementTextContainer>
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            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
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                <text>Inconel 718 is a superalloy which is a hard to difficult machining material. It is widely used in industries such as aerospace, defence, energy production, biomechanical and marine. It is used at elevated temperatures and areas where thermal and fatigue stress is high. Due to its superior quality and hard surface, machining of this material becomes a challenge. Cutting tools have failed enormously in milling this material. However, tungsten carbide and ceramics have found some effective features in creating a better machinability. In this paper, microstructure of the inserts have been studied during machining to determine low surface roughness on the material. Cryogenic treatment of the inserts has been carried out to improve tool life and compared with the untreated inserts.   2020 Author(s).</text>
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          <element elementId="39">
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              <elementText elementTextId="185121">
                <text>Rout I.S.; Pandian P.P.; Mathew M.; Ivan K.L.; Misra S.</text>
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          <element elementId="48">
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="185122">
                <text>AIP Conference Proceedings, Vol-2274</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="185123">
                <text>American Institute of Physics Inc.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="185124">
                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1063/5.0022831" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0022831&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095611307&amp;amp;doi=10.1063%2F5.0022831&amp;amp;partnerID=40&amp;amp;md5=44df5729296845e5d79cf808b21f03d2" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095611307&amp;amp;doi=10.1063%2f5.0022831&amp;amp;partnerID=40&amp;amp;md5=44df5729296845e5d79cf808b21f03d2&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="185126">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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                <text>ISSN: 0094243X; ISBN: 978-073544004-3</text>
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                <text>Online</text>
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              <elementText elementTextId="185129">
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Rout I.S., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST, Deemed to Be University, India; Pandian P.P., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST, Deemed to Be University, India; Mathew M., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST, Deemed to Be University, India; Ivan K.L., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST, Deemed to Be University, India; Misra S., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST, Deemed to Be University, India</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
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                <text>Experimental study of response parameters during machining of Inconel 718 with cryogenically treated ceramic round tool using cutting fluid</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="183608">
                <text>Cryogenically treated ceramic insert; Cutting fluid; Inconel 718; Response surface methodology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
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            <description>An account of the resource</description>
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                <text>Highly advanced superalloys are being rapidly spreading throughout the globe. It's in need of the hour to produce similar materials which are being used in several industries similar as petrochemical, biomechanical, aerospace and marine industries. Inconel 718 is one similar superalloy which is being used due to its better characteristic features like high attrition resistance, high temperature burden conditions, thermal fatigue resistance, and cryogenic temperatures. Owing to the hardness conditions, tools indicate the low tool life and high wear characteristics. Ceramic insert is one such tool that is being used to machine Inconel 718 which is cryogenically treated to improve tool life. The use of emulsified cutting fluid reduces tool wear and improve durability of the tool, thereby improving the efficiency of the machining of Inconel 718. In this paper, experimental investigation has been carried to find the use of emulsified cutting fluid that improves the machinability of Inconel 718 based on parameters such as surface roughness and tool wear under the effect of cutting parameters which are cutting speed, feed rate and depth of cut.  2021 Elsevier Ltd. All rights reserved.</text>
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                <text>Rout I.S.; Pandian P.P.; Raj A.</text>
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            <elementTextContainer>
              <elementText elementTextId="183611">
                <text>Materials Today: Proceedings, Vol-47, pp. 4281-4287.</text>
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            <elementTextContainer>
              <elementText elementTextId="183612">
                <text>Elsevier Ltd</text>
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                <text>Rout I.S., School of Engineering and Technology, CHRIST, Deemed to Be University, Bangalore, 560074, India; Pandian P.P., School of Engineering and Technology, CHRIST, Deemed to Be University, Bangalore, 560074, India; Raj A., School of Engineering and Technology, CHRIST, Deemed to Be University, Bangalore, 560074, India</text>
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                <text>Parametric analysis of control parameters for investigating the machinability of inconel 718 using ceramic inserts of round type</text>
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                <text>Ceramic insert; Cryogenic treatment; GRA; S/N ratio</text>
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                <text>Inconel 718 is a nickel-chromium based super alloy and has high corrosion and thermal resistance, high hardness, and high thermal strength at elevated temperatures which makes it difficult to cut. Due to these mechanical properties, it is being used in toughest conditions and hence the tool life is extremely short. This hard to cut metallic alloy has a wide scope in the field of bio medical industry, aerospace industry, bearing industry, steam turbine and nuclear applications and the demand has rapidly been increased in the recent years. Ceramic insert is one such cutting tool being used in the machining of this metal and study is still being conducted to increase the machinability. This paper investigates the machinability characteristics for determining the machinability of Inconel 718 using ceramic insert based on Grey Relation Analysis (GRA) and signal to noise (S/N) ratio. The input parameters such as feed rate, cutting speed and depth of cut are taken into consideration to obtain the suitable response parameters such as minimal surface roughness and low tool wear rate to improvise the machining characteristics of this superalloy. Ceramic inserts had even been cryogenic treated to provide better machining conditions on the Inconel 718.   2023 Author(s).</text>
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                <text>Rout I.S., Schoolof Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India; Pandian P.P., Schoolof Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India; Raj A., Schoolof Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India; Rego A.M., Schoolof Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India</text>
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          <element elementId="50">
            <name>Title</name>
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                <text>The effect of cutting fluid in improving the machinability of Inconel 718 using ceramic AS20 tool</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="182839">
                <text>Ceramic; Hicut 590; Inconel 718; Koolkut 40; Surface plot; Surface roughness; Tool wear</text>
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                <text>Industries demand a vast usage of superalloys in heat resistant and high temperature applications. These include nozzle of rocket fuel engines, throttle valve of turbojet engines, turbine blade discs of aerospace industries, rivets and fittings of chemical and production industries, biomedical applications in super strength resistive steels. These superalloys such as Inconel 718 finds its vast applications in all such industries. To machine such materials a lot of wear and tear occurs at the cutting tool. Hence, cutting fluid helps in reduction of tool wear and improving surface roughness. In this paper, two cutting fluids Koolkut 40 and Hicut 590 have been used in emulsified form during the machining of Inconel 718 with Ceramic cutting tool. Hicut 590 has been seen a better heat resistive cutting fluid in reducing the tool wear and thus improving the life of the tool.  2021 Elsevier Ltd. All rights reserved. Selection and Peer-review under responsibility of the scientific committee of the Global Conference on Recent Advances in Sustainable Materials 2021.</text>
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                <text>Rout I.S.; Pandian P.P.; Raj A.; Rego A.M.</text>
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                <text>Materials Today: Proceedings, Vol-49, pp. 1169-1174.</text>
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                <text>Elsevier Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.matpr.2021.06.162" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.matpr.2021.06.162&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123433372&amp;amp;doi=10.1016%2Fj.matpr.2021.06.162&amp;amp;partnerID=40&amp;amp;md5=64304c015eb5d1a81fb202d48a3c1e8a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123433372&amp;amp;doi=10.1016%2fj.matpr.2021.06.162&amp;amp;partnerID=40&amp;amp;md5=64304c015eb5d1a81fb202d48a3c1e8a&lt;/a&gt;</text>
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                <text>ISSN: 22147853</text>
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                <text>Rout I.S., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Pandian P.P., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Raj A., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Rego A.M., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>An Investigation to the Hardness of the Cutting Tool During Machining Inconel 718 due to the Cryogenic Effect</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="169638">
                <text>Ceramics; Cryogenic treatment; HardMachining; Tungsten carbide</text>
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                <text>The machining of superalloy Inconel 718 has seen a rapid demand in industries due to the superiority factor of its composition which makes it corrosion resistant, wear resistant and abrasive resistant. Due to these advanced features of this alloy, the cutting tool to be used to machine becomes a challenging one. There have been several cutting tools being used in the machine but wear of the tool and high surface roughness has been observed. Two cutting tools Tungsten Carbide RYMX 1004-ML TT3540 and Ceramic AS20 has been identified but the hardness on it is failed due to the machining conditions. The cryogenic treatment of these tools can see a remarkable change in machining and bring low surface roughness and reduce tool wear.  2023 American Institute of Physics Inc.. All rights reserved.</text>
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                <text>Rout I.S.; Pandian P.P.; Raj A.; Rego A.M.; Panigrahi S.P.</text>
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                <text>AIP Conference Proceedings, Vol-2821, No. 1</text>
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                <text>American Institute of Physics Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1063/5.0158413" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0158413&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179789640&amp;amp;doi=10.1063%2F5.0158413&amp;amp;partnerID=40&amp;amp;md5=fe42be05edbbabd0a1e882b1a903e724" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179789640&amp;amp;doi=10.1063%2f5.0158413&amp;amp;partnerID=40&amp;amp;md5=fe42be05edbbabd0a1e882b1a903e724&lt;/a&gt;</text>
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                <text>ISSN: 0094243X; ISBN: 978-073544735-6</text>
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                <text>Impact of Digital Storytelling on Middle School Students' Attitudes Toward English Language Learning</text>
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                <text>The integration of digital storytelling (DST) into teaching has significantly influenced educational development, especially English language acquisition. This study examines the impact of DST-integrated pedagogy on students' attitudes and perceptions toward learning English. In a quantitative study using an experimental design, 200 middle school students were purposively selected and divided into control and experimental groups. The control group received the traditional method of language teaching, while the experimental group received the DST method. Data were collected through a survey and analysed using descriptive and Wilcoxon test. The results suggest that exposure to DST positively influenced students' attitudes and led to better understanding, engagement, and motivation in learning English in the treatment group. This suggests that incorporating DST into English lessons can improve teaching quality and students' overall progress. Further analysis is needed to fully explore the potential of DST-based instruction in developing language acquisition skills.  2024 IGI Global. All rights reserved.</text>
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                <text>International Journal of Web-Based Learning and Teaching Technologies, Vol-19, No. 1</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 15481093</text>
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                <text>Roy A., Christ University, India</text>
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                <text>Geometry of Variably Inclined Inviscid MHD Flows</text>
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                <text>Incompressible; Magnetic flux density; Magnetic lines; MHD; Streamlines; Vorticity</text>
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                <text>A steady plane variably inclined magnetohydrodynamic flow of an inviscid incompressible fluid of infinite electrical conductivity studied. Introducing the vorticity, magnetic flux density, and energy functions along with the variable angle between magnetic field and velocity vector, governing equations are reformulated. The resulting equations are solved to analyze the geometry of the fluid flow. Considering streamlines to be parallel, stream function approach is applied to obtain the pattern for magnetic lines and the complete solution to the flow variables. Next considering parallel magnetic lines, magnetic flux function approach is applied to obtain streamlines and the complete solution of the flow. A graphical analysis of pressure variation is made in all the cases.  2020, Springer Nature Singapore Pte Ltd.</text>
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                <text>Lecture Notes in Mechanical Engineering, pp. 47-74.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>ISSN: 21954356; ISBN: 978-981150771-7</text>
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                <text>Roy A., Christ University, Bengaluru, India; Baskar R.H., Christ University, Bengaluru, India</text>
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                <text>Machine Learning-Based Driver Assistance System Ensuring Road Safety for Smart Cities</text>
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                <text>Technologies around smart city and green computing are gaining more and more interest from diversified workforce areas. The transportation system is one of them. The transportation vehicles are operating day and night to provide proper support for the need. This is really tiring for the transportation workers, especially the drivers who are driving the vehicle. A slight negligence of a driver may cause a huge loss. The increasing number of road accidents is therefore a big concern. Research works are going on to comfort the drivers and increase the security features of vehicle to avoid accidents. In this chapter, a model is proposed, which can efficiently detect drivers drowsiness. The discussion mainly focuses on building the learning model. A modified convolution neural network is built to solve the purpose. The model is trained with a dataset of 7000 images of open and closed eyes. For testing purpose, some real-time experiments are done by some volunteer drivers in different conditions, like gender, day, and night. The model is really good for daytime and if the driver is not wearing any glass. But with a glass in the eyes and in night condition, the system needs improvements.  2025 selection and editorial matter, Yousef Farhaoui, Bharat Bhushan, Nidhi Sindhwani, Rohit Anand, Agbotiname Lucky Imoize and Anshul Verma; individual chapters, the contributors.</text>
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                <text>Internet of Things and Big Data Analytics for a Green Environment, pp. 39-49.</text>
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                <text>&lt;a href="https://doi.org/10.1201/9781032656830-3" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781032656830-3&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214150574&amp;amp;doi=10.1201%2F9781032656830-3&amp;amp;partnerID=40&amp;amp;md5=392cdd4c70fd8c9449a54efeb79cae68" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214150574&amp;amp;doi=10.1201%2f9781032656830-3&amp;amp;partnerID=40&amp;amp;md5=392cdd4c70fd8c9449a54efeb79cae68&lt;/a&gt;</text>
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                <text>ISBN: 978-104022473-1; 978-103264982-5</text>
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                <text>Roy A., Christ (Deemed to be University), Bangalore, India; Ghosh D., Thapar University, Patiala, India</text>
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                <text>Marketing Research and Market-Focused Production as an Effective Business Tool in Power Sector</text>
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              <elementText elementTextId="173279">
                <text>Market research; Marketing; Power Sector; Production; Strategy</text>
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                <text>Businesses must devote part of their resources to conducting market and marketing research to make good decisions, which will help expand any business and utilize resources effectively. Understanding the intended clients is essential to successfully operating and expanding a firm. For marketers to comprehend consumer value about the product being supplied and therefore add value to their consumers, it is crucial to have this understanding. Organizations can better influence customers to buy niche goods or corporate services after thoroughly understanding their objectives, requirements, and values. In this situation, it is required to restructure the physical system and the related control and planning systems to provide production the tools it needs to become more competitive and customer-focused, acting as a positive and active production process instead of a reactive one. One of the finest techniques for understanding consumers is market research. It provides basic information that a company may utilize to inform its marketing strategy, facilitating and enhancing sales and marketing. This paper reviews the impact of effective market and marketing research and market-focused manufacturing in the power sector.   2023 IEEE.</text>
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                <text>Roy A.; Shete A.S.; Tiwari A.; Paliwal M.; Singh S.; Vatsa M.</text>
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                <text>2023 IEEE Renewable Energy and Sustainable E-Mobility Conference, RESEM 2023</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/RESEM57584.2023.10236290" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/RESEM57584.2023.10236290&lt;/a&gt;
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