• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.9 no.1
• /
• pp.61-66
• /
• 2010

Pay off reel is the device to release in the form of coil. Every time the device becomes a hassle to exchange, each diameter of two forms has been applied to the coil reel. There is the change of reel diameter of the sleeve portion to be the part of segment geometry. This unit is conducting on 3-dimensional modeling design. The basic strength and deformation of the device could be checked in advance by the basis of 3-d modeling data to perform simulations. The production of each part can be completed and assembled. Conducted for the final product which is tested and measured, all items are satisfied within the limits of targets. Due to the development of this device, the efficiency on operations can be increased and the production time becomes shortened.

• Journal of Information Technology Services
• /
• v.11 no.1
• /
• pp.197-210
• /
• 2012

This paper presents the ways that can improve the Software Cost Estimation Guidelines in order to replace those that are expected to be abolished at February, 2012, and solve the problems that are being occurred in the current Software Cost Estimation Guidelines. By using multidimensional modeling of OLAP(On-Line Analytical Processing), this paper does three dimensional modeling that considers the product/service view, process view and skill view. Also, it presents the identification method of cost estimation data through the view of each dimension. Furthermore, it defines the software cost estimation process and adapts them into the bottom up estimation and the top down estimation. Finally, it proposes the access of cost estimation data by the multidimensional analysis of OLAP.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.22-24
• /
• 2022

This paper is about circuit simulation using Proteus VSM (virtual system modeling), and all electronics, communication, or microprocessor applications are possible. Before hardware configuration, it is possible to check the actual operation of the component with the experimental tool and the relevant output in the simulation, which will have a huge effect in terms of shortening product development time and reducing cost.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2011.11a
• /
• pp.1372-1375
• /
• 2011

프로덕트 라인 공학에서 프로덕트 라인 아키텍처는 가장 중요한 산출물 중에 하나이다. UML (Unified Modeling Language) 2.x 부터는 아키텍처를 모델링하기 위한 유용한 모델링 요소를 제공하고 있다. 이러한 UML을 이용하여 프로덕트 라인 아키텍처를 모델링하기 위해서는 가변성의 표현이 명시적으로 이루어져야 하지만, UML 자체에는 가변성을 표현하기 위한 방법 및 기법을 명시적으로 기술하고 있지 않다. 본 논문에서는 UML에서 제공하는 확장 메커니즘을 이용하여 가변성을 표현하는 방법을 제안한다. 즉, 모델링요소에 태그값(Tagged Value) 및 스테레오타입을 넣어주어 다양한 관점에서의 가변성을 표기하는 방법을 제안한다.

• Journal of KIISE:Software and Applications
• /
• v.36 no.6
• /
• pp.431-442
• /
• 2009

The Software Product Line (SPL) engineering is one of the most promising software development paradigms. With Feature-Oriented Reuse Method (FORM), reusable and flexible components can be built to aid the delivery of various software products such as mobile phone and digital TV applications based on commonalities and variabilities identified during Feature modeling. Model Driven Architecture (MDA) is also an emerging technology which supports developing software products to work on different platforms with platform independent models (PIM). Combining advantages of these two approaches is helpful to build a group of software products which share common Features while working on various platforms. As first step to combine FORM with MDA, we extend UML2.0 with profiles by which FORM architectures and parameterized Statecharts can be modeled. Secondly, we provide rules to examine whether Features are allocated at positions of elements of Statecharts consistently between a Feature model and a parameterized Statechart. Some rules are designed to check the consistency between FORM architectures and parameterized Statecharts. A case study on an elevator control system is provided to demonstrate the feasibility of our modeling approach and consistency checking rules.

• Journal of Food Hygiene and Safety
• /
• v.33 no.3
• /
• pp.157-161
• /
• 2018

The objective of this study was to develop software to predict the kinetic behavior and the probability of foodborne bacterial growth on processed meat products. It is designed for rapid application by non-specialists in predictive microbiology. The software, named Foodborne bacteria Animal product Modeling Equipment (FAME), was developed using Javascript and HTML. FAME consists of a kinetic model and a probabilistic model, and it can be used to predict bacterial growth pattern and probability. In addition, validation and editing of model equation are available in FAME. The data used by the software were constructed with 5,400 frankfurter samples for the kinetic model and 345,600 samples for the probabilistic model using a variety of combinations including atmospheric conditions, temperature, NaCl concentrations and $NaNO_2$ concentrations. Using FAME, users can select the concentrations of NaCl and $NaNO_2$ meat products as well as storage conditions (atmosphere and temperature). The software displays bacterial growth patterns and growth probabilities, which facilitate the determination of optimal safety conditions for meat products. FAME is useful in predicting bacterial kinetic behavior and growth probability, especially for quick application, and is designed for use by non-specialists in predictive microbiology.

• Information Systems Review
• /
• v.17 no.3
• /
• pp.95-111
• /
• 2015

The recommendation system automatically provides the predicted items which are expected to be purchased by analyzing the previous customer behaviors. This recommendation system has been applied to many e-commerce businesses, and it is generating positive effects on user convenience as well as the company's revenue. However, there are several limitations of the existing recommendation systems. They do not reflect specific criteria for evaluating products or the factors that affect customer buying decisions. Thus, our research proposes a collaborative recommendation model algorithm that utilizes each customer's online product reviews. This study deploys topic modeling method for customer opinion mining. Also, it adopts a kernel-based machine learning concept by selecting kernels explaining individual similarities in accordance with customers' purchase history and online reviews. Our study further applies a multiple kernel learning algorithm to integrate the kernelsinto a combined model for predicting the product ratings, and it verifies its validity with a data set (including purchased item, product rating, and online review) of BestBuy, an online consumer electronics store. This study theoretically implicates by suggesting a new method for the online recommendation system, i.e., a collaborative recommendation method using topic modeling and kernel-based learning.

• Anatomy and Cell Biology
• /
• v.57 no.2
• /
• pp.172-182
• /
• 2024

This study aimed to evaluate the superficial anatomy, kinesiology, and functions of the hand to reveal its morphometry and apply the findings in various fields such as prosthetic hand and protective hand support product design. We examined 51 young adults (32 females, 19 males) aged between 18-30. Hand photographs were taken, and measurements were conducted using ImageJ software. Pearson correlation analysis was performed to determine the relationship between personal information and the parameters. The results of the measurements showed the average lengths of finger segments: thumb (49.5±5.5 mm), index finger (63.9±4.1 mm), middle finger (70.7±5.2 mm), ring finger (65.5±4.8 mm), and little finger (53.3±4.3 mm). Both females and males, the left index finger was measured longer than the right index finger. The right ring finger was found to be longer than the left in both sexes. Additionally, length differences between fingers in extended and maximally adducted positions were determined: thumb-index finger (56.1±6.2 mm), index-middle finger (10.7±4.1 mm), middle-ring finger (10.8±1.4 mm), and ring-little finger (25.6±2.7 mm). Other findings included the average radial natural angle (56.4°±10.5°), ulnar natural angle (23.4°±7.1°), radial deviation angle (65.2°±8.2°), ulnar deviation angle (51.2°±9.6°), and grasping/gripping angle (49.1°±5.8°). The average angles between fingers in maximum abduction positions were also measured: thumb-index finger (53.4°±6.5°), index-middle finger (17.2°±2.6°), middle-ring finger (14.3°±2.3°), and ring-little finger (32.1°±7.0°). The study examined the variability in the positioning of proximal interphalangeal joints during maximum metacarpophalangeal and proximal interphalangeal flexion, coinciding with maximum distal interphalangeal extension movements. The focal points of our observations were the asymmetrical and symmetrical arches formed by these joints. This study provides valuable hand parameters in young adults, which can be utilized in various applications such as prosthetic design, ergonomic product development, and hand-related research. The results highlight the significance of considering individual factors when assessing hand morphology and function.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.27 no.5
• /
• pp.807-814
• /
• 2003

3D printers are widely used to verify the designs in the early stage of product development, and are required to have short build time. However, the build time is still too long for a quick design review for engineers. This research focuses on how to split the prototype in order to reduce the build time and improve surface roughness. In order to verify the feasibility of prototype splitting, the build time and the roughness have been experimentally measured for various parts and build orientations. Based on the experimental results an expert system was developed for splitting the original CAD mod el by using an efficient splitting method. It can recommend a splitting plane based on build time, surface roughness and the number of divided parts. It is shown that the model splitting reduces the build time significantly and improves surface quality wit bout rough surfaces where the support was removed.

• Journal of the Korean Society for Precision Engineering
• /
• v.32 no.4
• /
• pp.353-358
• /
• 2015

Energy consumption reduction has become an important key word in manufacturing that can be achieved through the efficient and optimal use of raw materials and natural resources, and minimization of the harmful effects on nature or human society. The successful implementation of this concept can only be possible by considering a product's entire life cycle and even its disposal from the early design stage. To accomplish this idea with milling, minimum quantity lubrication (MQL) strategies and cutting conditions are analyzed through process modeling and experiments. In this study, a model to predict the cutting energy in the milling process is used to find the cutting conditions, which minimize the cutting energy through a Kriging meta-modeling process. The MQL scheme is developed first to reduce the amount of cutting oil and costs used in the cutting process, which is then employed for the entire modeling and experiments.