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Dr. Lin Wang
Dr. Wang Lin, Vice president, distinguished professor, 2020 reviewer of the 2021 International Planning Committee of Renmin University of China, member and reviewer of the project committee of the annual conference of Pittsburgh Association for information science and Technology (ASIS & T), and member of the scientific metrology and information metrology Committee of China Society for Science and technology policy in 2019, Editor in chief of the proceedings of the 4th International Conference on management, economic and social development, member of the Editorial Committee of American Journal of information management, commentator of Library and information service (Chinese) magazine, and member of the Committee of scientometrics and information metrology of China Society of science and technology policy.https://www.interscience.in/mentors/1080/thumbnail.jp
Dr Jack Wu
Dr Wu holds a Bachelor of Engineering in Industrial and Systems Engineering, and a PhD in Manufacturing and Industrial Engineering. He also holds a six-sigma black belt certification from the Hong Kong Society of Quality and he contributes regularly to research papers in the areas of Internet of Things, Engineering Optimisation and Healthcare Applications. His project works and research outcomes have been presented in 10+ international conferences and published in 90+ international refereed journals, such as Information Science, Applied Soft Computing, International Journal of Production Research, Internet Research, Expert Systems with Applications, Industrial Management and Data Systems, etc. Additionally, Dr Wu serves on the editorial boards of the International Journal of Engineering Business Management, Journal of Organizational and End User Computing, and Enterprise Information Systems. As he looks to the future, Dr Wu intends to continue researching in the field of smart logistics and manufacturing.https://www.interscience.in/mentors/1081/thumbnail.jp
REAL-TIME MULTI-PATIENT MONITORING SYSTEM USING ARM AND WIRELESS SENSOR NETWORK
Mobile Multi patient monitoring device has become increasingly important in Hospital wards to record real-time data during normal activity for better treatment. However, the current quality and reliability have not been satisfactory due to the size, weight, distance of coverage and also high power consumption. This paper provides a solution for enhancing the reliability, flexibility by improving the performance and power management of the real-time multi-patient monitoring system (MPMS). In the current proposed system the patient health is continuously monitored by the MPMS and the acquired data is transmitted to a centralized ARM server using Wireless Sensor Networks. A ZigBee node is connected to every patient monitor system which will send the patient\u27s vital information .Upon system boot up, the mobile patient monitor system will continuously monitor the patients vital parameters like Heart Beat, body temperature etc and will periodically send those parameters to a centralized server using ZigBee node configured as co-coordinator. If a particular patient’s health parameter falls below the threshold value, a buzzer alert is triggered by the ARM server. Along with a buzzer an automated SMS is posted to the pre-configured Doctors mobile number using a standard GSM module interfaced to the ARM server. The Doctor is continuously connected to the ARM server using GSM Module and he/she can get a record of a particular patient’s information by just posting a SMS message to the centralized ARM server. This will reduce treatment time, cost and power consumption to a greater extent. At the same time, the efficiency of examining ward will be improved by making the system more real-time and robust
ADVANCED EMBEDDED WIRELESS ROBOT WITH MOTION DETECTION SYSTEM AND LIVE VIDEO / AUDIO TRANSMISSION
This paper is to design and develop an intelligence robot to detect dangerous Gas/Smoke by using an 8 bit microcontroller. In our project the robot is designed to move automatically. The robot acts according to the command given by the program. It will move all the direction like forward, reverse, right and left. The Smoke sensing unit is available in robot mechanism. If particular Smoke is detected, robot will switch ON the Alarm Unit. The video and audio are monitored at the control unit. For transmitting audio and video, RF camera has been used
A Hybrid Scheme based on Alternative Scalar Leader Election (HS-ASLE) for Redundant Data Minimization in Multi-event Occurrence Scenario for WMSNs
The current paper reports a hybrid approach namely “Hybrid Scheme based on Alternative Scalar Leader Election (HS-ASLE)” for camera sensor actuation in multi-event occurrence scenario. In the proposed approach, the whole monitored zone gets segregated into multiple virtual sub-compartments and in each of the sub-compartments, one and three scalar leaders are elected alternatively that behave as the representatives of scalars to report event information. During the event occurrence, the event information gets trapped through the scalar leaders in lieu of scalars and the leaders convey the event occurrence information to the respective camera sensors. Pervasive experiment and observation have been ordained to mark the impact of varying the number of deployed scalar sensors and camera sensors individually on various performance parameters in multi-event occurrence ambience. Further, the numerical outcomes attained in terms of number of cameras actuated, coverage ratio, redundance ratio and energy expenditure for camera activation proclaim the effectiveness of our proposed HS-ASLE over the other two existing approaches in literature. Moreover, it is marked that our proposed approach attains maximal event region coverage with least camera activation, least redundant data transmission and lowest energy expenditure for camera sensor actuation as compared to two other approaches, which justify the precedence of our proposition over the other existing approaches
An Application of Artificial Neural Network (ANN) for Landslide Hazard Mapping, Susceptibility and Early Warning System: A Review
An Application of ANN for Landslide Early Warning System in Darjeeling hill regio
Conceptual Appraisal on social media engagement and purchase decision
The social media marketing is a phenomenon that has received considerable attention in the networking landscape from people and organizations. The Internet and social media transformed the interaction between customers and brands dramatically. The consumer literature of social networks underscores the growing importance of this new marketing channel in on-line connection and engagement with social customers. The Internet and social media transformed the interaction between customers and brands dramatically. The literature studied on social media involvement identifies gaps may concern future scholars. Social networking sites allow users to share ideas, activities, events and interests within their individual networks. Social media content are more likely to spread faster and quicker than any other object in the context of awareness. Apart from customer engagement, website traffic and brand awareness social media is playing an important role in the consumer buying decision making
A Study about Unemployment in India – 2004 - 2018
Unemployment is one of the growing economic concerns for a developing country like India, which has the world’s largest youth population. Young Indians face a lot of barriers due to poverty and lack of technical skills required to get into the right job. Though there are a lot of reforms in the education sector, gaining a stable position in the labor market is difficult. Most men in rural areas are now shifting to casual jobs rather than farming activities and women tend to be self-employed. This paper explores the trend in the unemployment rate from 2004 -2018. It provides an overall analysis of the unemployment rate among males and females, rural and urban areas, states and the union territories as well as the relationship between GSDP and unemployment. The paper provides a comparative analysis on the unemployment rate during the Covid-19 pandemic
Computational Fluid Dynamic Analysis of Vortex Generators on MAV.
ABSTRACT
Micro Vortex generators are very small components deployed on the wings to control airflow over the upper surface of the wing to affect the boundary layer over it. These are employed onto a Micro aerial vehicle (MAV) of fixed wing type with an S5010 which is a low Reynolds number airfoil. This airfoil provides good aerodynamic results as compared to many low Reynolds number airfoils. Micro vortex generators are used to enhance the performance through controlling airflow at different speeds and angle of attack.
The comparison of a half part of the MAV wing which is designed in CATIA, with and without the vortex generators on its leading edge at 10% of its chord length is done to show how the vortex generators improve the performance and control authority at different speeds and angle of attacks. These are shown with the velocity and pressure distribution around the wing by considering laminar flow in the simulation
Three-Dimensional Flow Analysis over Canard Configuration in Turbulence Model
The canard has been seen as an ominous aerodynamic object for ages this paper is to shed some more light on the effects of canard configuration on the aircraft’s wings. This flow-field analysis is thus being done using a turbulence model solution to take into the effects of a real-time environment where the vortices from the canard are captured more accurately. The analysis has been done meticulously and made to be as error-free as possible under the guidance of Dr. Yagya Dutta Dwivedi