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Fashion and textile industry has confronted to participate with the sustainable industry and society proactively not by the government regulations, but by the shareholders or consumers driven with corporate social responsibility. The purpose of this paper is to consider methods applied for the sustainability of products according to Korean domestic fashion and textile companies and clothing types and to investigate the limitation of current sustainability methods of companies.

The study used document analysis and case studies of 396 companies. The study looked into newspapers, monthly magazines, and publications of fashion companies and internet web sites of almost every possible type that have been issued to date and analyzed the previous studies as well.

The companies’ strategies are of three groups, the uses of environmental friendly materials: 36.9 percent (natural fibers, recycled fibers and biodegradable fibers), apparel reuse: 4.5 percent (remodeling/alteration and transform/combination with more materials), and eco-marketing promotions: 58.6 percent. For women’s and casual wear section, the methods used with organic materials and the green-campaign messages appeared frequently, while in the men’s wear section, coolMapsi, 0or warm OnMapsi for business wear did a lot for the low indoor energy consumption, such as no neck-tie in the hot season or wearing underwear in the cold season.

Fashion and textile products have provided the key solutions for the generation’s happiness, identity, value, self-realization, health and role. There have been the low quality and similarity of fashion products from mass production and high speed and we should consider sustainability for the next generation and society. But the current problem in the industry is that most of eco-product developments are only short term. Also, from the high cost of eco materials and processes, there is a limited portion of sustainability section among total products and low design quality of fashion or the low profit outcomes.

The purpose of this study is to examine the effect of background music on consumer's psychological and physiological responses when watching sports advertisements. We investigated how consumers' exposure to background music affects emotional arousal, attention, brand attitude and purchase intentions; and further tested consumers' information processing by using the same measures. Effects of music on viewer responses were hypothesized using arousal theory while the information processing was hypothesized using hierarchy-of-effects model.

We employed a between-subjects experimental design with random assignment. Fifty-four participants were recruited with 27 in an experimental group and 27 in a control group. Quantitative electroencephalogram (qEEG) and self-report measures were used to assess information processing. A multivariate analysis of covariance was conducted to compare the mean differences of variables between the groups. Partial least squares algorithm and bootstrapping were performed to further explore the relationships among the measures.

Mean differences indicated that the background music exposed group's emotional arousal, attention, brand attitude and purchase intention were significantly higher than those of the non-exposure group. Path analysis showed that the level of arousal induced by watching sports advertisements affected attention, attention affected brand attitude and brand attitude affected purchase intention. Indirect paths from arousal to brand attitude and attention to purchase intention were significant.

This study provides practical implications for sports marketers regarding methods to increase the effectiveness of sport advertisement. Results might contribute theoretically to the sports advertisement field by demonstrating the relationship between physiological and marketing-effect factors. Our method of measuring physiological response using qEEG is also expected to influence physiological measurement in sports marketing.

The problems of Super resolution are broadly discussed in diverse fields. Rather than the progression toward the super resolution models for real-time images, operating hyperspectral images still remains a challenging problem.

This paper aims to develop the enhanced image super-resolution model using “optimized Non-negative Structured Sparse Representation (NSSR), Adaptive Discrete Wavelet Transform (ADWT), and Optimized Deep Convolutional Neural Network”. Once after converting the HR images into LR images, the NSSR images are generated by the optimized NSSR. Then the ADWT is used for generating the subbands of both NSSR and HRSB images. The residual image with this information is obtained by the optimized Deep CNN. All the improvements on the algorithms are done by the Opposition-based Barnacles Mating Optimization (O-BMO), with the objective of attaining the multi-objective function concerning the “Peak Signal-to-Noise Ratio (PSNR), and Structural similarity (SSIM) index”. Extensive analysis on benchmark hyperspectral image datasets shows that the proposed model achieves superior performance over typical other existing super-resolution models.

From the analysis, the overall analysis of the suggested and the conventional super resolution models relies that the PSNR of the improved O-BMO-(NSSR+DWT+CNN) was 38.8% better than bicubic, 11% better than NSSR, 16.7% better than DWT+CNN, 1.3% better than NSSR+DWT+CNN, and 0.5% better than NSSR+FF-SHO-(DWT+CNN). Hence, it has been confirmed that the developed O-BMO-(NSSR+DWT+CNN) is performing well in converting LR images to HR images.

This paper adopts a latest optimization algorithm called O-BMO with optimized Non-negative Structured Sparse Representation (NSSR), Adaptive Discrete Wavelet Transform (ADWT) and Optimized Deep Convolutional Neural Network for developing the enhanced image super-resolution model. This is the first work that uses O-BMO-based Deep CNN for image super-resolution model enhancement.

Demand for Geopolymer concrete (GPC) has increased recently because of its many benefits, including being environmentally sustainable, extremely tolerant to high temperature and chemical attacks in more dangerous environments. Like standard concrete, GPC also has low tensile strength and deformation capacity. This paper aims to analyse the utilization of incinerated bio-medical waste ash (IBWA) combined with ground granulated blast furnace slag (GGBS) in reinforced GPC beams and columns. Medical waste was produced in the health-care industry, specifically in hospitals and diagnostic laboratories. GGBS is a form of industrial waste generated by steel factories. The best option to address global warming is to reduce the consumption of Portland cement production and promote other types of cement that were not a pollutant to the environment. Therefore, the replacement in ordinary Portland cement construction with GPC is a promising way of reducing carbon dioxide emissions. GPC was produced due to an alkali-activated polymeric reaction between alumina-silicate source materials and unreacted aggregates and other materials. Industrial pollutants such as fly ash and slag were used as raw materials.

Laboratory experiments were performed on three different proportions (reinforced cement concrete [RCC], 100% GGBS as an aluminosilicate source material in reinforced geopolymer concrete [GRGPC] and 30% replacement of IBWA as an aluminosilicate source material for GGBS in reinforced geopolymer concrete [IGRGPC]). The cubes and cylinders for these proportions were tested to find their compressive strength and split tensile strength. In addition, beams (deflection factor, ductility factor, flexural strength, degradation of stiffness and toughness index) and columns (load-carrying ability, stress-strain behaviour and load-deflection behaviours) of reinforced geopolymer concrete (RGPC) were studied.

As shown by the results, compared to Reinforced Cement Concrete (RCC) and 100% GGBS based Reinforced Geopolymer Concrete (GRGPC), 30% IBWA and 70% GGBS based Reinforced Geopolymer Concrete (IGRGPC) (30% IBWA–70% GGBS reinforced geo-polymer concrete) cubes, cylinders, beams and columns exhibit high compressive strength, tensile strength, flexural strength, load-carrying ability, ultimate strength, stiffness, ductility and deformation capacity.

All the results were based on the experiments done in this research. All the result values obtained in this research are higher than the theoretical values.