• Journal of Mushroom
• /
• v.2 no.4
• /
• pp.175-183
• /
• 2004

We carried out survey of a pine mushroom picking district and its vegetation environment for increase and maintainment of its production in Kyonggi province. The district which we could pick up pine mushroom among the nineteen surveyed district were sixteen such as Geoleun ri Gangcheon myeon Yeoju gun Kyonggi do, etc. and total yields were 470~600 kg in Kyonggi province. The temperature of atmosphere and earth in Yeoju and Bonghwa were droped to $19^{\circ}C$ at 5~7th september and maintained from $12^{\circ}C{\sim}18^{\circ}C$ during the a pine mushroom picking period. The density of a pine tree per $100m^2$ was 5.1~27.1 trees, the years of it was 15~50years old and height was 4~11 meter. The pine tree in a pine mushroom picking district was competed with oak trees, azaleas, lacquers, etc. The depth of organic materials accumulated on the pine mushroom mycelium layer was 4.5 cm in Yeoju. The soil texture of a pine mushroom picking district was almost sandy, soil pH was 4.3~5.1 and organic material content was 3.91~8.28%.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.11
• /
• pp.151-157
• /
• 2017

Recently, the retail industry has created efficient store operations, and has differentiated customer service through the future store. The intelligence of these stores is being applied by using technologies such as the Internet of Things (IoT), and the business process is being improved through this. The process also focuses on efficient store operations and service developments to provide customers with shopping convenience. The change in trends in the industry means that domestic distribution has already reached maturity. Even in countries where retail industries are mature, such as the U.S. and Europe, recent trends are moving toward maximizing operational efficiency and customer service. The reason is that many retailers have already reached saturation and survived the competition. This paper is a study of a drive-through service for automation and efficiency in receiving service after ordering by a customer of the distribution store. When ordering a product being purchased by a customer, the product picking process is done in a timely fashion through a picking scheduling agent. When the customer enters the store parking lot, a service supports the entry of information and finding a parking place so the customer can quickly pick up the goods. The proposed service can be applied to a retail store drive-through system, the distribution store's delivery system, the digital picking system, and indoor/outdoor large parking management systems, and it is possible to provide one-dimensional customer service through the application of IoT technology.

• Korean journal of applied entomology
• /
• v.51 no.1
• /
• pp.67-72
• /
• 2012

This study was conducted to evaluate the scouting methods for larva and adults of the alfalfa weevil, $Hypera$ $postica$ Gyllenhal on Chinese milkvetch, $Astragalus$ $sinicus$ L. in the field. Three sampling methods, shake-bucket, shake-picking, and a sweeping net were evaluated for collecting alfalfa weevil larvae. We found significant differences among scouting methods and date in all survey fields. Sweep-net sampling was less able to detect small larvae than large larvae, which were not detected until early April whereas the shake-bucket, and shake-picking methods efficiently collected larvae from middle March. A Pitfall trap with three different baits - no bait, kidney bean seeds and sprouting kidney beans were compared for collection efficiency of alfalfa weevil adults. Collection efficiencies were significantly different by bait(p<0.018). Traps baited with sprouting kidney beans were the most efficient for collecting the alfalfa weevil. The number of alfalfa weevil caught was not significantly different between kidney bean seed and no bait in the pitfall trap. Therefore, the shake-bucket method for larvae and a pitfall trap baited with sprouting kidney beans for adults are recommended for scouting of the alfalfa weevil in a Chinese milkvetch field.

• The Journal of Engineering Geology
• /
• v.29 no.2
• /
• pp.153-162
• /
• 2019

Rapid variations in the geometry (i.e., thickness) of the refractor and low velocities affect greatly the imaging of the reflectors of land seismic data. Conventional solutions to obtain the weathering models utilizes first break picking method, which requires time consuming steps and causes the human error in picking the first arrivals. A new interferometric approach (interferometric refraction statics, IRS) which utilizes the first arrival signal (S/N enhanced by refraction convolution stack) instead of first break picking, is tested in this study to the synthetic data from the velocity structure provided by surface geophysics (refraction, MASW) and borehole geophysics (tomography, SPS logging) for the Cheongju granitic bodies. The results of IRS approach are found to be better than the ones from conventional first break picking in terms of continuities and horizontal resolution of the reflectors. The unresolved long-wavelength statics in brute stack are much removed by IRS weathering correction and the overlying refractors (the base of shallow weathering zone) are incidentally delineated in the refraction convolution stack.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
• /
• 2006.04a
• /
• pp.212-213
• /
• 2006

• Proceedings of the Korean Fiber Society Conference
• /
• 1995.10a
• /
• pp.175-175
• /
• 1995

• Structural Engineering and Mechanics
• /
• v.17 no.3_4
• /
• pp.429-444
• /
• 2004

The ambient vibration measurement is a kind of output data-only dynamic testing where the traffics and winds are used as agents responsible for natural or environmental excitation. Therefore an experimental modal analysis procedure for ambient vibration testing will need to base itself on output-only data. The modal analysis involving output-only measurements presents a challenge that requires the use of special modal identification technique, which can deal with very small magnitude of ambient vibration contaminated by noise. Two complementary modal analysis methods are implemented. They are rather simple peak picking (PP) method in frequency domain and more advanced stochastic subspace identification (SSI) method in time domain. This paper presents the application of ambient vibration testing and experimental modal analysis on large civil engineering structures. A 15 storey reinforced concrete shear core building and a concrete filled steel tubular arch bridge have been chosen as two case studies. The results have shown that both techniques can identify the frequencies effectively. The stochastic subspace identification technique can detect frequencies that may possibly be missed by the peak picking method and gives a more reasonable mode shapes in most cases.

• IEIE Transactions on Smart Processing and Computing
• /
• v.3 no.4
• /
• pp.195-204
• /
• 2014

This paper presents the depth evaluation for object detection by automated assembling robots. Pattern distortion analysis from a structured light system identifies an object with the greatest depth from its background. An automated assembling robot should prior select and pick an object with the greatest depth to reduce the physical harm during the picking action of the robot arm. Object detection is then combined with a depth evaluation to provide contour, showing the edges of an object with the greatest depth. The contour provides shape information to an automated assembling robot, which equips the laser based proxy sensor, for picking up and placing an object in the intended place. The depth evaluation process using structured light for an automated electronics assembling robot is accelerated for an image frame to be used for computation using the simplest experimental set, which consists of a single camera and projector. The experiments for the depth evaluation process required 31 ms to 32 ms, which were optimized for the robot vision system that equips a 30-frames-per-second camera.

• Korean Journal of Plant Resources
• /
• v.9 no.3
• /
• pp.268-275
• /
• 1996

To produce edible Codonopsis shoots in spring, the effect of shoot pinching times on root yield and quality of Codonopsis was evaluated during 3 years from 1992 to 1994. Shoot growth decreased by increasing picking times and one time pinching of Codonopsis shoot was optimal for seed production. In case of 3 times shoots harvest per year. yield of edible Codonopsis shoots amounted to 29.5MT/ha for 3 years. Increase of shoot picking times exerted harmful effect on root growth and decreased marketable value of harvested shoots. It was recommended from the results. One-time pinching of shoot a year for the production of marketable shoots and roots after 3-year cultivation.

• Journal of Institute of Control, Robotics and Systems
• /
• v.14 no.1
• /
• pp.54-61
• /
• 2008

This paper proposes a new algorithm for detecting and recognizing overlapped objects among a stack of arbitrarily located objects using a signature representation scheme. The proposed algorithm consists of two processes of detecting overlap of objects and of determining the boundary between overlapping objects. To determine overlap of objects, in the first step, the edge image of object region is extracted and those areas in the object region are considered as the object areas if an area is surrounded by a closed edge. For each object, its signature image is constructed by measuring the distances of those edge points from the center of the object, along the angle axis, which are located at every angle with reference to the center of the object. When an object is not overlapped, its features which consist of the positions and angles of outstanding points in the signature are searched in the database to find its corresponding model. When an object is overlapped, its features are partially matched with those object models among which the best matching model is selected as the corresponding model. The boundary among the overlapping objects is determined by projecting the signature to the original image. The performance of the proposed algorithm has been tested with the task of picking the top or non-overlapped object from a stack of arbitrarily located objects. In the experiment, a recognition rate of 98% has been achieved.