International Journal of New Practices in Management and Engineering
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136 research outputs found
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Design and Analysis of Single Ended Low Noise Amplifier
Full text linkIn this research article, we propose a Low Noise Amplifier which utilizes 1.748GHz (mid frequency) by employing 0.35µm CMOS technology. Gain of 33.25dB is obtained by using this technique and also having a noise figure of 2.233. Employing single ended configuration, we design a Low Noise Amplifier along with cascaded. The information transmitted can be either voice or data that alters radio frequency carrier from a transceiver in wireless communications
Design and Analysis of Optimized Fin-FETs
Full text linkSemiconductor industry greatly depends on CMOS technology and now needs competent technology with handful benefits. This paper examines and analyzes the modern FINFET technology. This analysis is performed through 9 stages Ring Oscillator equipped with FINFET. Performance is analyzed by comparing the proposed structure with CMOS based 9 stage Ring Oscillator at the nano-scale level of abstraction
Recognition of Anthracnose Injuries on Apple Surfaces using YOLOV 3-Dense
Full text linkPlant ailment is one of the essential drivers of harvest yield decrease. With the advancement of PC vision and profound learning innovation, independent discovery of plant surface sore pictures gathered by optical sensors has become a significant research bearing for convenient yield ailment analysis. Right now, anthracnose injury identification strategy dependent on profound learning is proposed. Right off the bat, for the issue of lacking picture information brought about by the irregular event of apple illnesses, notwithstanding conventional picture expansion strategies, Cycle-Consistent Adversarial Network (CycleGAN) profound learning model is utilized right now achieve information increase. These strategies adequately enhance the decent variety of preparing information and give a strong establishment to preparing the identification model. Right now, the premise of picture information increase, thickly associated neural system (DenseNet) is used to streamline highlight layers of the YOLO-V3 model which have lower goals. DenseNet extraordinarily improves the usage of highlights in the neural system and upgrades the identification consequence of the YOLO-V3 model. It is checked in tests that the improved model surpasses Faster R-CNN with VGG16 NET, the first YOLO-V3 model, and other three cutting edge arranges in discovery execution, and it can understand continuous recognition. The proposed technique can be all around applied to the recognition of anthracnose injuries on apple surfaces in-plantations
Design of Hand Motion Assist Robot for Rehabilitation Physiotherapy
Full text linkThis paper deals about developing a microcontroller based two-axis robot for human hand physiotherapy for the treatment of paralyzed patients. The interactive two-axis motion robot is designed to fit around patient’s arm and work with the patient to reestablish movements of hand by gently moving it in desired direction. The robot moves the patients hand up and down, left and right using servo motor interfaced with it. The motor is controlled by switching ON/OFF the stator winding. The microcontroller generates the switching pulses of the motor; the angular distance and movements are programmable through keys. The robot actively moves the non-responsive body parts allowing it to be a useful tool in all steps of rehabilitation. Note to Practitioners-Compared with cable-driven humanoid arm, a cable less robot is more accurate because a cable driven robot has some drawbacks due to the mismatch of connections. If the connections are mishandled, there is a chance to occur any severe damages. The main drawback is more expensive, very difficult to maintain and clean. This drawback can be rectified by the proposed method. The main feature of this robot is its mobility function
Optimized Wireless Stethoscope Using Butterworth Filter
Full text linkAcoustic stethoscope is a primary diagnostic tool used by doctors for effective analysis of various diseases. But, it suffers defects such as low level heart sounds and presence of murmurs. This project aims at developing ‘Noise removal in stethoscope using Butterworth filter’. In this, the low level heart sounds were amplified with high gain pre-amplifier circuit. A review of basic filters like low pass RC filter, Butterworth filter, Chebyshev filter and Bessel filter are done for elimination of murmurs and best suited filter is suggested. Finally, amplified noise free heart sounds are simulated using Proteus 7.4. The results prove that efficient filter for designing is ‘Butterworth filter’
Impact of Data Mining Technique in Education Institutions
Full text linkMajor decision making process using large amount of data can be done by various techniques using data mining. In education sectors various data mining techniques are implemented to analyze the student’s data from the admission process itself. Due to large number of educational institution in India, excellence becomes a major parameter for the institutions to grow and with stand. Nowadays education institutions use data mining techniques to show their excellence. The main objective of this work to present an analysis of individual semester wise results of engineering college students using different techniques of data mining. Here we used different classification algorithms like decision tree, rule based, function based and Bayesian algorithms to analyze the semester results and comparison is made by considering parameters like accuracy and error rate. Our output shows the most suited algorithm for analyzing data in educational institutions
Modified Low Power Binary to Excess Code Converter
Full text linkUtilization of power is a major aspect in the design of integrated circuits. Since, adders are mostly employed in these circuits, we should design them effectively. Here, we propose an easy and effective method in decreasing the maximum consumption of power. Carry Select Adder is the one which is dependent on the design of two adders. We present a high performance low-power adder that is implemented. Also, here in Carry Select Adder, Binary Excess Code-1is replaced by Ripple Carry Adder. After analyzing the results, we can come to a conclusion that the architecture which is proposed will have better results in terms of consumption of power compared to conventional techniques. 
Automatic Speech Recognition in Mobile Customer Care Service
Full text linkIn the project an automatic speech system is used in mobile customer care services. In existing mobile customer care services, customer have to wait for 4 to 5 minutes to get into the option what they want to inquire. Based on the requirement, we go for filtering the incoming calls. Persons who require particular data are dynamically move to speech recognition system that identifies the type of the enquiry chosen. Speech recognition is the one which dynamically identifies the individual speaking based on analyzing the speech waves. It helps in identifying the voice of the speaker to know the recognized user. It also helps in accessing services like telephone banking, mobile shopping, database services and securing the information which is confidential
CUP and DISC OPTIC Segmentation Using Optimized Superpixel Classification for Glaucoma Screening
Full text linkGlaucoma, an incurable disease related to eyes which results in loss of the vision. Identifying this disease within in a proper period of time is most important, since it cannot be cured. The important aspect of this paper is to detect glaucoma at initial stages. Segmentation in the optic disc necessitates the differentiation of each super pixel by employing Histograms, centre surround statistics. Information location in merged with the above methods in increasing the performance of optic cup segmentation. Optic disc and optic cups are employed to evaluate cup to disc ratio of the disease identified. Neural network is used to extract the patterns and also to detect glaucomatous cells that are too complex to be noticed by either humans or other computer techniques
Self-Sustained Debacle Repression Using Zig-Bee Communication
Full text linkIf an accident happens, nature of the humans is to criticize somebody else instead understanding the mistake. Finally, European study says that in 80% of vehicle accidents especially motor vehicles, drivers criticize the other person instead of preventing the accident. In our assessment, we consider conditions of traffic in India. For any accident to happen, major cause is speed of the driver. So, we should go for new methods to eradicate such type of problems. Assessment of accidents are done to identify the reason or series of accidents that are occurred and to avoid fresh accidents of the same type. So, we are going for Self-sustained Debacle Repression method identified by the combination of different independent solutions. An SDR development shape tomorrow’s safe. It also comes with collision avoidance Mechanisms such as: Avoiding the collision using Ultrasonic Sensor and ARM processor and Collision Indication (car-to-Xs Communication) using ZIGBEE technology