The impact of adopting six sigma to improve total quality management practices applied study in Najaf cement plant
Global and local organizations face many changes and challenges. These challenges have led to the emergence of new concepts in the management of organizations that seek to achieve the goal of survival and continuity in the world of competition by changing their traditional methods that are not commensurate with the challenges faced by organizations. Dealing with the challenges they face and overcoming them to achieve better performance. One of these tools is six sigma. The current study aims to identify the impact of six sigma to improve total quality management, a sample of 64 employees was selected randomly from Najaf cement plant, and the results indicate there is an impact of six sigma on total quality management.
Published by: Anaam Abdulzahra Meteab
Author: Anaam Abdulzahra Meteab
Paper ID: V4I5-1167
Paper Status: published
Published: September 7, 2018
Machine learning based approach for fault tolerance in cloud computing
Cloud computing is a rising area that is currently engaged towards many of the IT industries. Bearing with the cloud architecture is the difficult challenge for us. This challenge can be achievable by fault tolerance and monitoring. Methods/Statistical Analysis: Fault Tolerance (FT) facilitates the process or the component to work smoothly even though in the occurrence of the failure. Monitoring is a procedure in which the fault is predicted before it occurs. Proactive and reactive measures can take place to run the cloud environment with tolerance in failure occurrence. Reviewing the potential of FT and monitoring services is to make out the technique that serves in certain purpose. Fault tolerance systems are important for both providers of cloud services and customers. Findings: Based on this idea, this paper provides the different or diverse fault tolerance and monitoring mechanism to improve the reliability in a cloud environment. Applications/Improvements: It presents the information about the various techniques and methods used in the FT and also a future research direction in cloud FT.
Published by: Abhishek Gupta, Aashish Mamgain
Author: Abhishek Gupta
Paper ID: V4I5-1171
Paper Status: rejected
Submitted: September 7, 2018
A review article of signal to noise ratio using frequency division multiplexing PSO algorithm
The demand for high-speed mobile wireless communications is growing at a very fast rate. PSO OFDM technology is a key technique for achieving the high data rate and spectral efficiency requirements for wireless communication systems. Frequency Division Multiplexing (PSO OFDM) [3–6] has emerged as a successful air-interface technique. The Frequency division Multiplexing was originally developed from the multi-carrier modulation techniques used in high-Frequency military radios. This thesis presents, a Simulink based simulation system is implemented using Particle swarm optimization (PSO) to study the performance analysis of Bit Error Rate (BER) Vs Signal to Noise ratio (SNR). The model of PSO OFDM with Rician fading channel using Simulink in MATLAB is discussed. This model is used for performance enhancement of the PSO OFDM with QPSK and QAM modulation schemes and channel condition. The throughput and packet error rate is used to evaluate the performance of the MAC layer with the change in the physical layer parameter. The performance analysis of different technologies used in the QAM PSO OFDM is compared by visualizing the BER vs SNR curve.
Published by: Pratik Singh, Manish Gupta, Anshuj Jain
Author: Pratik Singh
Paper ID: V4I5-1187
Paper Status: published
Published: September 6, 2018
Biosensors: A device to detect diseases
Nowadays, due to technology development, people are getting modernised. But as they get modernised, they also develop new diseases. The more we get modernised, the more we are diseased. Hence nowadays it has become difficult for doctors to distinguish the disease caused by bacteria and the disease caused by the virus. For example, if a person is having the symptoms of TB and coughs up blood and another person has the symptoms of cancer and coughs up blood.so in both the cases the diseases are different but the symptom is same. Is this case the doctor will probably ask the patients to take a blood test or a chest x-ray. This process may take a day or two for the reports to come by which cancer may reach its last stage (though the cancer is already noticed only at the last stage). Thus though the technology in medicine has developed to the 8th generation level, still we haven’t achieved a halt in delayed diagnosis. According to WHO, in 1968, we had a situation of human beings going almost extinct due to the outbreak of deadly disease “swine flu”. This flu is actually caused by the type A influenza virus in pigs which gets transmitted to human beings through direct contact. So doctors took time to find whether it is a bacterial disease or a viral one. But due to early precaution and prevention, we survived to overcome this flu. Also now certain diseases like smallpox have been eradicated from India due to repeated vaccination of all newborn babies. This stage has been achieved only due to precautions.
Published by: Chetana Krishanan
Author: Chetana Krishanan
Paper ID: V4I5-1153
Paper Status: published
Published: September 6, 2018
Experimental studies on the strength of cement concrete with partial replacement of coarse aggregate with ceramic tiles and cement with silica fume
Analysis of incorporated concrete was done in fresh state as well in hardened state to evaluate different properties of concrete I.e. testing and comparing the results of various mixes for workability,compressive strength,tensile strength and flexural strength and analyzing for the best mix composition,to mix design concrete of grade M25,to find out the different composition of mixes by partial replacing cement with silica fume and coarse aggregate with ceramic tiles. 5%,10% & 15% (M25) incorporation was used as partial replacement of coarse aggregate with ceramic tiles and cement with silica fumes,from all the results and experimental approach it is concluded that concrete formed with over silica fumes and ceramic tiles aggregate and cement showed benefit performance as compared with the concrete made up of natural aggregate and cement obtained from local resources.it reduces the cost of concrete by reduces the cost of concrete by reducing the aggregate cost and produces economical infrastructure system.it has been observed that use of waste materials results in the formation of lightweight concrete uses of such waste material will not only cut down the not only cut down the cost of construction but will also contribute in safe disposal of waste materials. Apart from the environmental benefits, the addition of such wastes also improves certain properties of resultant concrete.cubes of concrete were prepared and tested to study the compressive strength, tensile strength flexual strength, and analyzing for the best mix composition. As it takes a lot more money to make new ceramic tiles,than the cost incurred in the process of recycling it but in this process,we are using there ceramic tiles for the beneficial use of the concrete as well as in the construction site,as we all know that ceramic tiles are widely used in the household and other construction site,it has considered as it is very economical in nature.
Published by: Rashidul Islam, Anshul Garg
Author: Rashidul Islam
Paper ID: V4I5-1150
Paper Status: published
Published: September 6, 2018
Artificial intelligence in word prediction systems
Artificial Intelligence is the process of performing tasks that generally requires human intelligence by artificially emulating it in a computational background. Implementation of this concept in predicting the next suitable word efficiently such that it does not deviate from its original meaning. It is observed that most word prediction algorithms involve comparison of a word with a dictionary or a collection of words that shows resemblance and follow a fixed linear path by recognizing patterns. In most cases, this linear analysis solves the problem of maintaining the sentence structure and its meaning. However, in complex cases, it is found to be inaccurate as minor details of a language are ignored. This can be corrected with the help of machine learning along with pattern recognition by analyzing the frequency of the words, addition of new words into a local dictionary, identifying the difference between official and unofficial text sentences or words. It becomes more complex as the neural network keeps increasing but it improves and provides accurate results over time and can be improved with comparison using a cloud-based dictionary. The concept being implemented is universal and is useful in any kind of language and provides a restriction free communication and understanding.
Published by: N. Ajithesh
Author: N. Ajithesh
Paper ID: V4I5-1170
Paper Status: published
Published: September 6, 2018
