• Membrane and Water Treatment
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• v.6 no.2
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• pp.103-112
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• 2015

In India, recycling of treated effluent plays a major role in the industry. Particularly in copper industry, recycling techniques for treated effluents adopt conventional technologies which are not energy efficient and recovery of high quality process water, free flowing salts and sludge's is very low. This paper presents an overview of enhanced modern technology for treated effluents in copper industry making it more efficient with high recovery of high quality process water and free flowing salts. Life cycle cost (LCC) would be 15-20% lower than the conventional technologies. The conventional technology can be replaced with this proposed technique in the existing and upcoming copper industries.

• Advances in Energy Research
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• v.3 no.1
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• pp.59-70
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• 2015

In India, continuous production of electricity and sweet/potable water from Solar power and desalination plant plays a major role in the industries. Particularly in Copper industry, Solar power adopts Solar field collector combined with thermal storage system and steam Boiler, Turbine & Generator (BTG) for electricity production and desalination plant adopts Reverse osmosis (RO) for sweet/potable water production which cannot be used for long hours of power generation and consistency of energy supply for industrial processes and power generation cannot be ensured. This paper presents an overview of enhanced technology for Solar power and Desalination plant for Copper industry making it continuous production of electricity and sweet/potable water. The conventional technology can be replaced with this proposed technique in the existing and upcoming industries.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.667-675
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• 2021

The treatments for symptoms of Alzheimer's disease are being provided and for the early diagnosis several researches are undergoing. In this regard, by using T1-weighted images several classification techniques had been proposed to distinguish among AD, MCI, and Healthy Control (HC) patients. In this paper, we also used some traditional Machine Learning (ML) approaches in order to diagnose the AD. This paper consists of an improvised feature selection method which is used to reduce the model complexity which accounted an issue while utilizing the ML approaches. In our presented work, combination of subcortical and cortical features of 308 subjects of ADNI dataset has been used to diagnose AD using structural magnetic resonance (sMRI) images. Three classification experiments were performed: binary classification. i.e., AD vs eMCI, AD vs lMCI, and AD vs HC. Proposed Feature Selection method consist of a combination of Principal Component Analysis and Recursive Feature Elimination method that has been used to reduce the dimension size and selection of best features simultaneously. Experiment on the dataset demonstrated that SVM is best suited for the AD vs lMCI, AD vs HC, and AD vs eMCI classification with the accuracy of 95.83%, 97.83%, and 97.87% respectively.

• Smart Media Journal
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• v.12 no.3
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• pp.30-37
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• 2023

Alzheimer's disease (AD) symptoms are being treated by early diagnosis, where we can only slow the symptoms and research is still undergoing. In consideration, using T1-weighted images several classification models are proposed in Machine learning to identify AD. In this paper, we consider the improvised feature selection, to reduce the complexity by using wrapping techniques and Restricted Boltzmann Machine (RBM). This present work used the subcortical and cortical features of 278 subjects from the ADNI dataset to identify AD and sMRI. Multi-class classification is used for the experiment i.e., AD, EMCI, LMCI, HC. The proposed feature selection consists of Forward feature selection, Backward feature selection, and Combined PCA & RBM. Forward and backward feature selection methods use an iterative method starting being no features in the forward feature selection and backward feature selection with all features included in the technique. PCA is used to reduce the dimensions and RBM is used to select the best feature without interpreting the features. We have compared the three models with PCA to analysis. The following experiment shows that combined PCA &RBM, and backward feature selection give the best accuracy with respective classification model RF i.e., 88.65, 88.56% respectively.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.396-403
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• 2013

Explosive substances requires much effort for safety management because of the basically risk. The risk of explosives is increasing actually explosives accidents and crimes have been occured repeatedly and explosives used IED(Improvised explosive device) or roadside bomb recently. South Korea's basic legislation on the management of explosives is "guns, swords, explosives control Act" was enacted in 1961 as many amendments have been made. However, the Act has increased complexity gradually because of the technical expertise of explosives such as the development of new techniques. This study examines the historical background of Korea's explosives management and considers enactment amendments and propose measures to improve of explosives management Act.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.12
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• pp.55-63
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• 2015

Recently, terroristic threats using a radio controlled improvised explosive device (RCIED) that is remotely controlled and exploded have been increased around the world. In order to prevent the explosion of an RCIED, jamming techniques that interrupt an RCIED receiver can be used, so that the receiver can not demodulate the trigger code. Conventional jamming technique is a type of active barrage jamming that always emits the noise jamming signal for all the frequency band. However, it needs large power consumption and thus is limited in operation time for a vehicle. In order to overcome the shortage of the active barrage jamming, reactive jamming technique has drawn attention. In reactive jamming, all the frequency band is firstly scanned, and then if any trigger signal exists, one emits the jamming signal to the corresponding frequency band. Therefore, the reactive jamming is superior to the active barrage jamming in terms of power efficiency. However, a reactive jammer emits a jamming signal only after the trigger signal is intercepted, which means that the jamming signal may be late for interrupting an RCIED receiver. In this sense, it is needed to evaluate a delay in an RCIED receiver. To achieve this, we analyze the reaction time and present the simulation result for jamming performance of reactive jamming against an RCIED using mobile devices.

• (The) Research of the performance art and culture
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• no.33
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• pp.223-242
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• 2016

The Korean $taeg{\breve{u}}m$, a horizontal bamboo flute, is considered a representative wind instrument of Korean traditional music. Symbolized by its unique timbre and diverse techniques, this instrument transmits the beauty of Korea, and has become acknowledged even in international music scenes. Being a $taeg{\breve{u}}m$ player, composer, and ethnomusicology researcher, I have developed creative collaborations with musicians from Asian, electro-acoustic, jazz, and Western art music traditions developed outside my country of origin and tried to overcome musical boundaries through the 'intercultural performances' (after Turner 1988). Zooming in one collaboration, I detail the process of music creation and performance, collaborating with prominent Korean composer Kim $Taes{\breve{o}}ng$ (b.1967), who was commissioned by myself to write two compositions for the $taeg{\breve{u}}m$ and Western art music. The purpose is twofold: firstly, the modernization and appropriation of the Korean flute is briefly tracked down within the context of Western Art music. Secondly, a performance project is illustrated with the support of technical apparatuses such as DVD and CD recordings and delves further into the question of the 'cultural relativism' (Michael Tenzer, 2006: 7) through the interactive process. The performance-as-research, as a tool 'actualizing' (Richard Schechner 2003: 32) the hybridity, touches on critical domains in Ethnomusicology. The corresponding two parts discover, as Alan Merriam's(1964) 'tripartite model' suggests, the 'context' of Korean and Western cultures, the 'behaviour' of collaborating and performing and the 'sound' of improvised and composed productions in the course of music making.