International Journal of Advances in Applied Sciences
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668 research outputs found
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IOT Based Oil Condition Monitoring of Wind Turbine Gearboxes with Smart Sensor Technology
The performance parameters such as viscosity, humidity and pressure of the gear box lubricating oil should be monitored and controlled to improve the efficiency of the windmill. The recent technique like IOT is used for the continuous transmission of bulk data of these parameters from one machine to other machine which is situated in remote locations .Also the development of mobile technology and web made the live monitoring easier. Thus transmission and sharing of data takes place without any time delay. The technology also helps to completely eliminate the assistance nearby the site. The large wind farms in coastal areas are easily and continuously monitored and the data are recorded from remote locations with the mobile technology having internet connections. This paper also reports the design of MEMS viscosity sensor,MEMS humidity sensor and MEMS pressure sensor for continuous monitoring of the lubricating system .The main advantage of implementing MEMS devices is to reduce the size and cost and also the sensitivity is improved. Along with IOT, smart sensor technology is also introduced in the monitoring which avoids the serious problems that occur in wind mills.The performance parameters such as viscosity, humidity and pressure of the gear box lubricating oil should be monitored and controlled to improve the efficiency of the windmill. The recent technique like IOT is used for the continuous transmission of bulk data of these parameters from one machine to other machine which is situated in remote locations .Also the development of mobile technology and web made the live monitoring easier. Thus transmission and sharing of data takes place without any time delay. The technology also helps to completely eliminate the assistance nearby the site.The large wind farms in coastal areas are easily and continuously monitored and the data are recorded from remote locations with the mobile technology having internet connections. This paper also reports the design of MEMS viscosity sensor,MEMS humidity sensor and MEMS pressure sensor for continuous monitoring of the lubricating system .The main advantage of implementing MEMS devices is to reduce the size and cost and also the sensitivity is improved. Along with IOT, smart sensor technology is also introduced in the monitoring which avoids the serious problems that occur in wind mills
Opinion Sentiment Analysis
An automatic system to analyze the opinions/feedbacks of the people working in any organization is proposed. The proposed system does two major jobs: the first part extracts the most relevant/important aspects from the textual feedbacks provided by clients/managers/co-workers for all the employees having similar job profile and the second part measures the degree of positivity or negativity for all the extracted aspects for every employee and then an overall performance of everyone is evaluated. We have implemented the system to study the feedback of teachers. The proposed system is flexible and versatile than the existing feedback evaluation system of teachers where students evaluate the teachers on the predefined aspects decided by experienced and senior teachers. Our system, Faculty Evaluation System (FES) identifies strengths and weaknesses of teachers on all aspects which are important to students. This information may be used by higher authorities of the institute in identifying suitable faculty members for different academic and administrative activities of the institute in addition to the teaching responsibility
Intelligent Framework for Web-Service Testing
Web services provides a distributed computing architecture, with an emerging way of service oriented architecture (SQA). Here service oriented architecture is an interface to both computer systems and web services. Which implements an interaction with each other in new and different ways. According to service oriented architecture it virtually provides a platform for web services to communicate with each other. As it was an easy way for communicating with both clients and services. Many organizations and companies are either evaluating themselves into an enterprise information architectures, or they are in the process of getting adopt to the web services technology. As web services are platform independent it is playing a major role in the enterprise environment, and currently web services are widely accepted by many companies and organizations. So commonly web services possess some challenges to the enterprise environment. As a part of it web service must be tested before publish into a service oriented architecture. It involves large number of test cases, test scenarios that takes more time and effort. Testing management is needed so that it should control the time effort and should reduce the complexity of web service in a large software system, also in a real time world. Automation testing faces these challenges and fixes these issues. Automation testing has an ability to handle the complexities which are experiencing by the web services in a current environment. This paper presents the automatic testing strategies of a web service and detect the problems between both manual and automation testing. Finally results shows the proper effective report on improving the visibility of testing process based on the web approach to enhance the critical communication among multiple testing groups
Machine Learning in Big Data
Machine learning is an artificial intelligence method of discovering knowledge for making intelligent decisions. Big Data has great impacts on scientific discoveries and value creation. This paper introduces methods in machine learning, main technologies in Big Data, and some applications of machine learning in Big Data. Challenges of machine learning applications in Big Data are discussed. Some new methods and technology progress of machine learning in Big Data are also presented
Assessment of BIM Implementation among MEP Firms in Nigeria
The purpose of this study is to assess the awareness level and potential challenges for Building Information Modelling (BIM) adoption among the Mechanical, Electrical and Plumbing (MEP) design consultants and contractors in Nigeria, and to get the perspective of BIM in the industry. The research method used in this study was a fieldwork survey using structured questionnaires. The results from the responses were analysed using descriptive statistics, one-way ANOVA test for statistical significant difference, Chi-Square test, and Cross Tab analysis. The findings from the survey show that Nigeria MEP firms have a relatively high level of awareness toward BIM technology. The Most important challenges identified as barriers for BIM adoption are lack of technical expertise on BIM tools utilisation, lack of awareness of BIM technology, and high investment cost in training staff, process change, and software/hardware upgrade
Multiloop and Prediction Based Controller Design for Sugarcane Crushing Mill Process
In the present work a sugarcane crushing mill is presented as a MIMO system with high multivariable interaction.A linear model of the plant is taken with flap position and turbine speed as manipulated variables and mill torque and buffer chute height as controlled variables.The multiloop PI controller has been designed for this plant by first investigating the RGA and the value of Niederlinski index of this plant.The decoupling of this system is done and the respective open loop and closed loop step responses are observed and compared with those of the composite MIMO system. Also the performance of multiloop controller is compared with controller designed using model predictive control system strategy for this plant
Dynamic Mood Detection in Chat Application Using Text Pattern Analysis
In modern communication and social networking the peoples of different ages are of different moods while chatting. This paper deals with detecting the modes and identifying human emotions through text mining. This paper explored to detect the mood variation of different age group that swings is maximum as compared to other age group. The moods can be classified in the basis of gender, age group and the emotion while texting. The random sample is taken from public chat in that the users are manually classified for strength of positive and negative emotions. By classifying emotions and using decision tree different variations are analyzed in this paper. Outlier study is used to recognize emotion distinction in child having any kind of disability. The pattern of the text is analysed and clustered and with the help of Besiyan classifier the text is classified in accordance with their emotions
The Fallacy of Zero Inventories for Purchased Parts in Small Manufacturing and Job Shops
In this article we examine the soundness of receiving most vendor shipments just prior to the time of use and then immediately delivering them from the receiving area to the point of use by some small US manufacturing industry. This approach in theory would save handling cost, storage cost, and inventory holding cost, the real world offers numerous pitfalls, especially for smaller manufacturers and job shops
Speech Recognition Using MFCC and VQLBG
Speaker Recognition is the computing task of confirmatory a user’s claimed identity mistreatment characteristics extracted from their voices. This technique is one of the most helpful and in style biometric recognition techniques in the world particularly connected to areas in that security could be a major concern. It are often used for authentication, police work, rhetorical speaker recognition and variety of connected activities. The method of Speaker recognition consists of two modules particularly feature extraction and have matching. Feature extraction is that the method during which we have a tendency to extract a tiny low quantity of knowledge from the voice signal that will later be used to represent every speaker. Feature matching involves identification of the unknown speaker by scrutiny the extracted options from his/her voice input with those from a collection of identified speakers. Our projected work consists of truncating a recorded voice signal, framing it, passing it through a window perform, conniving the Short Term FFT, extracting its options and Matching it with a hold on guide. Cepstral constant Calculation and Mel frequency Cepstral Coefficients (MFCC) area unit applied for feature extraction purpose.VQLBG (Vector Quantization via Linde-Buzo-Gray) algorithmic rule is used for generating guide and feature matching purpose
Broadband Antenna for LTE Operation: A Novel Design Approach Using Meandered Strip Line
The broadband performance of an antenna for the LTE operation is presented in this paper. A novel design approach used to design the antenna using meandered strip line can be treated as a simplest and a cost effective approach. Due to the requirement of the bandwidth hungry applications, there is a smooth migration of the mobile technology from the existing services like GSM; UMTS to LTE is in progress. Thus a compact radiating structure can be preferred in many applications to improve the throughput performance of the multimedia service. The proposed antenna operates in the LTE 42 band. It shows the broadband performance centred at 3533 MHz with 112 MHz bandwidth. Bandwidth performance at this frequency is also found to be well suited to operate in the downlink frequency band at LTE 22. To determine the optimal performance of the antenna, a suitable threshold (S11 < 10 dB) is imposed. Gain and directivity of the antenna are 6.6 dB and 7.8 dBi respectively. Efficiency is achieved to 74%. Radiation pattern shows the best performance of the antenna. With the best performance achieved at this frequency, the antenna is advantageous to exploit in small cell coverage, LTE Hotspot and Indoor enhancement solutions. CST Microwave Studio Suite software is used to design the antenna. An ordinary 50 Ω transmission line is fed to the antenna. Other antenana parameters are also discussed for its performance