• Journal of the Korea Safety Management & Science
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• v.16 no.2
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• pp.81-90
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• 2014

Flexible production system has been expanded to all sectors of economy with the change of labor market and diversification of employment. The unstable employment with irregular work has replaced stable employment with regular work. This study has investigate the impact pathway of the type of employment on health status especially ill-health symptoms experiences. Among the first Korean Working Conditions Survey data, the employee's response data was used to analyze the path way with multiple regression analysis. The result has shown the direct effect of the type of employment on ill-health symptoms experience. Indirect effect of the type of employment was found the pathway via the exposure to noise, high temperature, low temperature, dust, skin contact to chemicals, painful posture, heavy material handling, standing position, repetitive movement of hands. However the exposure to the other hazardous factors such as organic solvent, wholebody vibration, radiation, lifting people, infectious materials were not influenced by the type of employment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.8 no.12
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• pp.65-77
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• 1985

The mainpoints of General Theory is 1) the mainspring of economic activity is effective demand which can expand or control in relation to supply as a result of spontaneous decision by customer or government. 2) change in effective demand Produce change in output and employment in the same direction 3) which given productivity of labour the Vice level depend on the money supply affect the in downward direction 4) change in the money supply affect the economy through the rates of interest 5) the only automatic mechanism through which the economy can adjust itself to a deficiency of effective demand is the long process which unemployment reduces wage rates and consequently the demand for money and interest rates, above summarized contents are General Theory frame-work. The neo-classical macro general equilibrium theory, which has been reconstructed subsequent to Keyneses critism is treated the neo-classical macro-general equilibrium theory which inherits the classical theories of labour market and the aggregate production function, on demand side, it introduce the Keyneses macro-general equilibrium theory, which function through flexible movement of prices, wage and interest. Nowadays, Keynes General Theory is being developed into new dimension i, e. the macro-disequilibrium theory, and adequacy, and appropriateness of the theory and its significant contributions to modern economics are being reinterpreted and substantiated.

• Journal of Fashion Business
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• v.24 no.3
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• pp.85-100
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• 2020

Recently, 3D printing technology, which is suitable for small-volume production of many varieties, has become considered a key manufacturing technology in the 4th industrial revolution. However, the nature of 3D printing technology means it is not yet able to be applied to traditional textiles due to Fabric Flexibility. The aim of this study is to investigate Textile Structural Design by finding the optimal yarn thickness for Selective Laser Sintering (SLS) 3D printed structures on geogrid dobby woven fabric that gives the optimal flexibility and tensile strength in the final product. The test results for tensile load strength of the 3D printed test samples, using 1.0mm, 0.8mm, 0.6mm and 0.4mm yarn thicknesses, showed that all were found to be above 250N, this higher than the tensile strength of 180N that is recommended for textile products. Based on these results, the four dobby structural patterns with 3D printing produced had four yarn thicknesses: 1.0mm, 0.8mm, 0.6mm, and 0.4mm. The thinner the yarn, the more flexible the fabric; as such the optimal conditions to produce SLS-based 3D printed textiles with suitable strength and flexibility used a thickness of yarn in the range of 0.4mm to 0.6mm.

• Journal of Sensor Science and Technology
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• v.28 no.4
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• pp.251-255
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• 2019

We propose a two-step lithography process to minimize edge-bead issues caused by thick photoresist (PR) coating. In the conventional PR process, the edge bead can be efficiently removed by applying an edge-bead removal (EBR) process while rotating the silicon wafer at a high speed. However, applying conventional EBR to the production of desired PR mold with unique negative patterns cannot be used because a lower rpm of spin coating and a lower temperature in the soft bake process are required. To overcome this problem, a two-step lithography process was developed in this study and applied to the fabrication of a polydimethylsiloxane (PDMS) film having super-hydrophobic characteristics. Following UV exposure with a first photomask, the exposed part of the silicon wafer was selectively removed by applying a PR developer while rotating at a low rpm. Then, unique PR mold structures were prepared by employing an additional under-exposure process with a second mask, and the mold patterns were transferred to the PDMS. Results showed that the fabricated PDMS film based on the two-step lithography process reduced the height difference from 23% to 5%. In addition, the water contact angle was greatly improved by spraying of hydrophobic nanosilica on the dual-scaled PDMS surface.

• Animal Bioscience
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• v.35 no.7
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• pp.949-954
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• 2022

Objective: The present study is aimed at phenotypic characterization and mitochondrial d-loop analysis of indigenous "Diara" buffalo population, which are mostly confined to the villages on the South and North Gangetic marshy plains in the Bihar state of India. These buffaloes are well adapted and are best suited for ploughing and puddling the wet fields meant for paddy cultivation. Methods: Biometric data on 172 buffaloes were collected using a standard flexible tape measure. Animals are medium in size; the typical morphometric features are long head with a broad forehead and moderately long and erect ears. Genomic DNA was isolated from unrelated animals. The mtDNA d-loop 358-bp sequence data was generated and compared with 338 sequences belonging to riverine and swamp buffaloes. Results: Based on the mitochondrial d-loop analysis the Diara buffaloes were grouped along with the haplotypes reported for riverine buffalo. Sequence analysis revealed the presence of 7 mitochondrial D loop haplotypes with haplotype diversity of 0.9643. Five of the haplotypes were shared with established swamp breeds and with Buffalo population of Orissa in India. Conclusion: Morphometric analyses clearly shows distinguishing features like long and broad forehead which may be useful in identification. The germplasm of Diara buffalo is much adapted to the marshy banks of river Ganga and its tributaries. It constitutes a valuable genetic resource which needs to be conserved on priority basis.

• The Research Journal of the Costume Culture
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• v.30 no.1
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• pp.145-160
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• 2022

This study analyzes the influence of the social and cultural background of Art Nouveau on the costumes, architecture, and crafts in the period drama 'Crimson Peak'. This research method captures images of women's costumes, architecture, and crafts in the 'Crimson Peak' and selects and analyzes those with a clear Art Nouveau influence. Edith's costumes are characterized by the Art Nouveau style that emerged in the 1890s, with an hourglass silhouette, pastel colors, soft materials, and organic curved embellishments. Lucille's costumes show characteristics that were prevalent before the 1890s, using bustles, strong colors, and elaborate ornamentation. The architecture is characterized by gothic vertical lines and organic curves, naturalistic patterns featuring animals and plants, and steel and glass materials. The crafts of 'Crimson Peak' are characterized by flexible shapes with strong, organic curves. These costumes, architecture, and crafts share formal elements including waving, twisting, and organic curves and plant-shaped motifs. The influence of social and cultural background of the age of Art Nouveau expressed in movies on formative arts was examined as impressionism appeared in costumes made of pastel colors, thin and see-through materials, medieval Gothic historicism expressed in structures composed of vertical design and religious relief ornament, exoticism appeared in Chinese vase and Japanese-patterned tea sets, naturalism with an animal·plant motif and phenomenon of active social activities of progressive women through women's clothing that elements of men's costume are introduced. This study will provide data for the production of period dramas set at the end of the 19th century.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.35 no.5
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• pp.509-515
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• 2022

As the 4th industrial revolution based on ICT is progressing in the manufacturing field, interest in building smart factories that can be flexible and customized according to customer demand is increasing. To this end, it is necessary to maximize the efficiency of factory by performing an automated process in real time through a network communication between engineers and equipment to be able to link the established IT system. It is also necessary to collect and store real-time data from heterogeneous facilities and to analyze and visualize a vast amount of data to utilize necessary information. Therefore, in this study, four types of controllers such as PLC, Arduino, Raspberry Pi, and embedded system, which are generally used to build a smart factory that can connect technologies such as artificial intelligence (AI), Internet of Things (IoT), and big data, are configured. This study was conducted for the development of a program that can collect and store data in real time to visualize and manage information. For communication verification by controller, data communication was implemented and verified with the data log in the program, and 3D monitoring was implemented and verified to check the process status such as planned quantity for each controller, actual quantity, production progress, operation rate, and defect rate.

• Journal of Sensor Science and Technology
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• v.31 no.5
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• pp.279-285
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• 2022

Recently, 3D printing technology has gained increased attention in the manufacturing industry because it allows the manufacturing of complex but sophisticated structures as well as moderate production speed. Owing to advantages of 3D printers, such as flexible design, customization, rapid prototyping, and ease of access, can also be advantageous to sensor developments, 3D printing demands have increased in various active device fields, including sensor manufacturing. In particular, 3D printing technology is of significant interest in tactile sensor development where piezoelectric materials are typically embedded to acquire voltage signals from external stimuli. In regard with piezoelectricity, researchers have worked with various piezoelectric materials to achieve high piezoelectric response, but the structural approach is limited because ceramics have been regarded as challenging materials for complex design owing to their limited manufacturing methods. If appropriate piezoelectric materials and approaches to design are used, sensors can be fabricated with the improved piezoelectric response and high sensitivity that cannot be found in common bulk materials. In this study, various 3D printing technologies, material combinations, and applications of various piezoelectric sensors using the 3D printing method are reviewed.

• Design & Manufacturing
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• v.17 no.1
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• pp.7-12
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• 2023

Recently, with the emergence of the 4th industrial revolution, the demand for smart factories and factory automation is increasing. In this study, a tool life prediction program was developed to select optimal machining conditions using CNC milling equipment, which is widely used in flexible production and automation. The equipment used in the experiment was Hwacheon Machine Tool's 5-axis machining equipment, and the tool used was a 17F2R tool. For the machining path, the down-milling cutting method was selected and long-term machining was performed. The analysis standard for side wear on the tool was set at 0.1 to 0.2 mm, and tool life data and wear data were obtained in the cutting experiment. The program was created through the data obtained from the experiment, and a prediction rate of over 90% was secured when comparing the experimental data and the predicted data.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.21-28
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• 2023

In manufacturing companies that focus on small-scale production of multiple product varieties, defective products are manually selected by workers rather than relying on automated inspection. Consequently, there is a higher risk of incorrect sorting due to variations in selection criteria based on the workers' experience and expertise, without consistent standards. Moreover, for non-standardized flexible objects with varying sizes and shapes, there can be even greater deviations in the selection criteria. To address these issues, this paper designs a quality inspection system using artificial intelligence-based unsupervised learning methods and conducts research by experimenting with accuracy using a dataset obtained from real manufacturing environments.