The mobile advertising paradigm is shifting from the web2.0 to the web3.0 generation in the Korean market and pursuing a customized and context-aware advertisement service for each consumer in this cloud computing era. In the Korean telecommunication market, the expanded demand for smart devices and the heralding of the 4G mobile broadband networks have increased the use of mobile applications and web services, with strengthened competition among advertising industrial players. Recently, as the mobile ecosystem becomes more complex, advertisement marketers are focusing on targeted marketing to customers to maximize the impact of advertising. Mobile advertising businesses should differ in terms of content and delivery patterns as to what users want, as well as how they react to different smart devices and platforms. The purpose of this study is to discover and theorize customer typologies based on Q theory's subjectivity in a qualitative approach and then verify and generalize sequentially these theoretical definitions and concepts through a combination of the Q and R empirical methods. The results of this research can be used as an antecedent of theoretical and industrial frameworks and a basic statistical data in advertising marketing and customer relationship management domains

The widespread raising of swine in farms becomes a serious problem in terms of the emission of carbon dioxide (CO₂) and methane (CH₄). This study aims to measure concentrations of carbon dioxide and methane, which account for the largest percentage of carbon emissions, to temporally estimate the carbon emitted during the pig-manure composting process. The research subject was a farmhouse raising 3000 growing pigs and 100 mother pigs. The capacity of the composting facility for pig manure treatment was 330 m², and the daily treatment was about 6 tons. After the pig manure discharged from the pig farm was delivered to the composting facility, for the 8 days including 6 before mixing and 2 after mixing, the concentrations of CO₂ and CH₄ were measured. The result shows that the CO₂ and CH₄ concentrations in the composting facility were 1208 ± 385 ppm and 95 ± 10 ppm, respectively. In the comparison of concentrations before and after mixing at the composting facility, the values of both CO₂ and CH₄ increased, and the temperature increased as well. The concentration of CO₂ and CH₄ increased to 499 ± 103 ppm and 3 ± 11 ppm, respectively, and the temperature rose by 3.7 ± 1.0 °C and 1.6 ± 2.4 °C, respectively. In the correlation analysis (r = 0, p < 0.05), the carbon dioxide emission in the composting process was 15.564 ± 3.671 tons C/year, whereas carbon emission was 1.379 ± 0.147 tons C/year. The concentrations of CO₂ and methane, which are the current major atmospheric pollution sources, were respectively analyzed during the pig-manure composting process in this study to understand their effects. Thus, this paper attempts to elucidate the carbon cycle by measuring and analyzing the carbon data obtained from livestock excretions to secure a supply chain based on the intelligent use of the data.

Journal of Animal Science and Technology (JAST) is a peer-reviewed, open access journal publishing original research, review articles and notes in all fields of animal science. Topics covered by the journal include: genetics and breeding, physiology, nutrition of monogastric animals, nutrition of ruminants, animal products (milk, meat, eggs and their by-products) and their processing, grasslands and roughages, livestock environment, animal biotechnology, animal behavior and welfare.

A concentration of airborne bacteria generated from swine houses is recognized to be relatively higher than other work places and it is essential to optimally manage it to prevent farmers' respiratory diseases. This study was conducted to assess the distribution characteristics of airborne bacteria in swine houses located at South Korea. A total 27 pig buildings of the enclosed type operated with mechanical ventilation system by a side wall fan and deep-pit manure system with slats were surveyed. Air samples were collected at 1.0 m above the middle floor in pig housing room. A six-stage viable particulate cascade impactor was used to identify the distribution of the sizes of particles in diameter. Seasonal mean levels of airborne bacteria in the housing rooms of gestation/farrowing pigs, nursery pigs and growing/fattening pigs were 3,428(±1,244) colony forming unit (cfu)/m3, 8,325(±3,209) cfu/m, and 13,254(±6,108) cfu/m3 for spring; 9,824(±2,157) cfu/m3, 18,254(±5,166) cfu/m3, and 24,088(±9,274) cfu/m3 for summer; 1,707(±957) cfu/m3, 4,258 (±1,438) cfu/m3, and 8,254(±2,416) cfu/m3 for autumn; and 2,322(±1,352) cfu/m3, 6,124(±1,527) cfu/m3 and 12,470(±4,869) cfu/m3 for winter, respectively. Concentrations of airborne bacteria according to pig housing type were highest in growing/fattening housing room followed by nursery housing room and gestation/farrowing housing room. In terms of seasonal aspect, the pig building showed the highest levels of airborne bacteria in summer followed by spring, winter and autumn. The respirable airborne bacteria which are ranged between 0.6 and 4.7 μm accounted for approximately 60% compared to total airborne bacteria regardless of pig housing type.

This study was conducted to check whether benzene is contained inside the petroleum-based cleaning agent used in the printing industry and measure whether it is actually exposed to the air. Benzene was analyzed inside the cleaning agent and air exposure evaluation was done by area sampling. Risk assessment was performed using the CHARM (Chemical Hazard Risk Management) technique. Most products contained benzene based on the results obtained from this study. As a result of collecting air samples and checking whether the workers were exposed to benzene actually, benzene was detected in three samples. As a result of the risk assessment, most of printing businesses scored more than four points. Benzene was detected in all petroleum-based cleaning products. In addition, benzene was detected in some of air samples. Considering the fact that even small exposure level of benzene is dangerous to worker health and most of the printing businesses in South Korea operate on a small scale with fewer than five employees so the health management system is poor, it is necessary to prepare appropriate measures to prevent work diseases provoked by benzene exposure.

Recently, the interest in the plant factory-based crop production technologies is rising following the application of the smart farm technology to the agricultural arena. A lettuce production system platform is proposed in this study considering the effects of indoor environmental conditions and artificial light sources. The spectral characteristics of a visible ray according to growth performances were analyzed first to develop a control algorithm that can stimulate the plant’s growth for the proposal. Secondly, an imaging system was designed to analyze the plant’s growth characteristics based on the images and set up the system configuration. Lastly, a crop production system was proposed by using an experimental crop production group for environmental control and monitoring.