MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

School of Electronics & Communication Engineering

In this paper we propose an approach of deciding a quality parameter for evaluation of relative quality of the sound produced by the synthesizer with reference to the sound of the original Indian classical instrument. Tonal quality of a musical note is a subjective aspect. The work presented in the paper aims at providing quantification that will assess the quality of the musical note of the instrument produced on synthesizer and the equivalent note produced on the real instrument. In this paper we nomenclate this quality parameter as HPHPQM (Hybrid Pre-ranked Heuristically Preferential Quality Metric). The paper also presents the Interrater statistics carried out to confirm the effectiveness of the proposed parameter. Sitar and flute are the instruments considered for the experimentation. In a nutshell to the best of authors' knowledge no work has been reported towards incorporating the quality parameter to judge the qualitative closeness of instrument sound on synthesizer and real instrument sound. This paper proposes solution for the same.

World University root node

Engineering and Technology

Sensor Letters

Hybrid Pre-Ranked Heuristically Preferential Quality Metric for Actualization of Musical Sensors and Tonal Perception

In multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems, multi-user detection (MUD) algorithms play an important role in reducing the effect of multi-access interference (MAI). A combination of the estimation of channel and multi-user detection is proposed for eliminating various interferences and reduce the bit error rate (BER). First, a novel sparse based k-nearest neighbor classifier is proposed to estimate the unknown activity factor at a high data rate. The active users are continuously detected and their data are decoded at the base station (BS) receiver. The activity detection considers both the pilot and data symbols. Second, an optimal pilot allocation method is suggested to select the minimum mutual coherence in the measurement matrix for optimal pilot placement. The suggested algorithm for designing pilot patterns significantly improves the results in terms of mean square error (MSE), symbol error rate (SER) and bit error rate for channel detection. An optimal pilot placement reduces the computational complexity and maximizes the accuracy of the system. The performance of the channel estimation (CE) and MUD for the proposed scheme was good as it provided significant results, which were validated through simulations.

Fulltext

Technologies

Channel Estimation and Data Detection Using Machine Learning for MIMO 5G Communication Systems in Fading Channel

International Journal of Engineering Research and Application

Energy Efficient Model for Wireless Communication :A Survey

Fish keeping is a popular trend. Fish keeping is itself an industry which comes in agriculture. Fish keeping is not an easy job; we always need an aquarium or a pond for that. The hobby of fish keeping is broadly divided into three- freshwater, brackish, and marine. Among all these three, freshwater is considered to be the most popular hobby of keeping fish because it is easy to handle freshwater fish and aquariums. It requires a lot of manual work to take care of the aquarium for instance timely change of water, regular feeding of the fishes, maintaining the turbidity level and the temperature of the water in the aquarium. Hence to reduce the manual work, the research is based on the project, IOT and ARDUINO based Fish Aquarium that has been designed to save labor time through making the system automated. It is a prototype functioned to feed the fishes on a regular time intervals, keeps the temperature and the turbidity level under control. The Wi-Fi Module attached to it sends the status of the aquarium like temperature level, turbidity level, feeding etc on your respective device like cell phones.

International Journal of Innovative Research in Technology

IOT and ARDUINO Based Fish Aquarium

Driver safety is an extremely important reason for concern in the present scenario. Currently according to many surveys carried out, the time spent by an individual in a vehicle is increasing year by year. Also the lifestyle of an individual right now is too stressful and hectic; together leading to a situation of drowsiness or arrhythmia while driving which could result to the ultimate loss of life, proving to be fatal. The situation demands integrated environment which could detect major abnormal conditions such as drowsiness and arrhythmia. This paper introduces various proposed ideas for driver’s safety under above mentioned abnormal conditions.

International Research Journal of Engineering and Technology

Survey on Integrated Environment for Driver Safety Using ECG Electrodes

International Journal of Innovative Research in Computer and Communication Engineering

Smart Ration Distribution System

Stress affects individuals in many ways which areknown and unknown. A person undergoing stress is affected bothphysically and mentally. Stress is caused by stressors. Thesestressors can be internal or external stressors. Example ofexternal stressors are work load, fights with family members andmany more. Internal stressors can be classified as stress due tosickness such as menopause. Stress levels increase beyond acertain level may even lead to fatal diseases. Hence it is importantto manage stress levels. To monitor these stress levels we haveformulated a device which will monitor the heart rate, thegalvanic skin response and the body temperature of the person.

International Journal of Research in Engineering, Science and Management (IJRESM)

Design and Implementation of IoT based Stress Detection and Monitoring

The paper intends to propose a system that willhelp the personnel in areas deemed dangerous and lifethreateningto eliminate any harmful material that theyencounter. The system proposed will be mounted on anunmanned vehicle that will be controlled through a GraphicalUser Interface (GUI). The system will have a water-jet cuttingmechanism that will help to dispose off hazardous and lifethreateningsubstances. A Global Positioning Sensor (GPS) willhelp in the localization of the entire system. The system can befurther improved by interfacing additional sensors.

International Research Journal of Engineering and Technology (IRJET)

HARMFUL MATERIAL DISPOSAL SYSTEM

This paper shows that E-Toll booking can be completely managed using the 'Internet of Things' concept based on the RFID and QR/Barcode scanning technology using Raspberry Pi. In reference to survey of annual toll collection on toll plazas, conducted by government of Maharashtra in year 2010, we examine and report on the conditions of total time spent, for money transaction on toll plaza, by a particular vehicle and further evaluate total fuel wastage as well as human errors involvement, while doing so. Finally to provide an optimal solution, we consent with the idea of making toll plazas completely automated, with assistance of IoT technology. By using this system no separate lane required at Toll Plaza. Keywords IoT: Internet of Things, RFID: Radio Frequency Identification, Webcam, Stepper Motor, RFID Reader: EM18, Raspberry Pi: 3B Model, WordPress Software OpenCV

International Journal of Research Publications

IOT BASED E-TOLL BOOKING SYSTEM

Determining of blood types is very important during emergency situation before administering a blood transfusion. Presently, these tests are performed manually by technicians, which can lead to human errors. Determination of the blood types in a short period of time and without human errors is very much essential. This paper presents a new methodology for determine blood group by taking image of blood sample contend added chemical such as Anitclonal A, B, D and by processing this image in raspberry pi 3 we can get the blood group. Phenotyping based on Raspberry pi and python 3.5 for detection of blood group using image processing. The image processing techniques such as thresholding and morphological operations are used for the basic operation on the images. By using the standalone system based on the raspberry pi we can easily take the image of blood sample process it and the result will be shown on the LCD. Depending on the agglutination rate we can classify the blood group. Thus, the developed automated method determines the blood type using image processing techniques. The developed method is useful in emergency situation and also used when number of people are large.