Seoul, South Korea
Seoul, South Korea

Hongik University, usually known as "Hongdae" for short, is a private university in the Mapo-gu district of central Seoul, South Korea with a second campus in Sejong. Hongik University offers a comprehensive range of undergraduate and graduate programs. The school is best known for its faculty of Fine Arts, arguably the most famed school of Fine Arts and Design in the country, having numerous acclaimed alumni in the field. As of 2007, 14,500 undergraduate students and 2,600 graduate students were enrolled at the university. The university serves as a metonym for the Hongdae area. Wikipedia.

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News Article | May 18, 2017
Site: www.sciencedaily.com

Reducing the impact large-vehicle emissions have on the environment is a real challenge due to delivery industry demands, explained Vittal Prabhu, a professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering. "The size of fleets has increased, the transportation networks have become more complex and, perhaps most importantly, there is an increased demand for timely deliveries in tighter timeframes," he said. "Therefore, it is increasingly important to come up with innovative new ways to cut down the effect these vehicles have on the environment while keeping costs down and maintaining timely deliveries." Prabhu is the co-author on two recently published papers that address these complex issues and present some promising solutions for the delivery industry. "Just-in-time delivery for green fleets: A feedback control approach" was published in 2016 by Prabhu and 2013 Penn State industrial engineering alumnus Seokgi Lee, an assistant professor at the University of Miami. Prabhu and Lee developed a new algorithm -- called Greening via Energy and Emissions in Transportation (GEET) -- to more effectively route fleet vehicles in order to reduce environmental effects. The approach is unique because the products in this system are delivered "just-in-time," meaning exactly when a customer specified. "GEET determines the optimal departure time and vehicle cruising speeds that can be varied throughout the trip based on anticipated vehicle performance and delivery times," said Prabhu. "This is the feedback part of the 'feedback control approach' to the problem." Through this new algorithm, the researchers saw, on average, a 12-16 percent reduction in fuel consumption and were able to implement this improvement within delivery systems in a short amount of time. Lee and Prabhu teamed with 2014 Penn State industrial engineering alumnus Yuncheol Kang, an assistant professor at Hongik University in Seoul, Korea, on "Smart logistics: distributed control of green crowd-sourced parcel services," which was also published in 2016. In this study, the team looked at crowd-sourced parcel services, which can be compared to "Uber for deliveries." In crowd-sourced parcel services, an individual can download an app to find packages that need to be delivered within their own neighborhood. This form of delivery is often faster than a single delivery truck; and with the growing popularity of on-demand transportation companies, such as Uber and Lyft, the cost for these personal deliveries are dropping. Individuals with the app see the payout for transporting a package and can decide to accept or decline the job. For this reason, this type of delivery system is difficult to model because of many unknown factors. The supply and location of drivers, along with changes in demand for people to ship packages, is largely variable. This uncertainty can cause the overall delivery system to have significant inefficiencies specifically, drivers needlessly driving long distances to pick up packages and dropping them off. With more driving, carbon is released and the system becomes less green. "This kind of system causes a lot of wasteful driving, which causes both economic and environmental burdens," said Prabhu. The researchers came up with an algorithm that attempts to pair drivers and packages to certain routes in order to reduce the overall effect of unnecessary mileage and carbon emissions. When tested using computer simulations on a hypothetical crowd-sourced parcel company, this new method increased the company's revenue by 6.4 percent by reducing fuel and emission costs by 2.5 percent. It is the hope of the researchers to expand on their findings in order to offer more sustainable options to those within the delivery system sector. "This is hopefully just the beginning," said Prabhu. "We will continue to look at the issues within fleet operations and determine what other efficiencies can be applied in order to cut down on emissions while maintaining customer satisfaction."


In a method of manufacturing a quantum dot, a core may be formed using (utilizing) at least one cation precursor and at least one anion precursor. The core may be reacted with a shell forming precursor and a ligand forming precursor for more than one hour to form a shell enclosing the core and a ligand. A nanoparticle including the core, the shell and the ligand may be washed.


Patent
Hongik University | Date: 2016-02-29

Provided are a data transmission system, an encoding apparatus, and a decoding method. The encoding apparatus includes an encoding unit configured to use an encoding matrix to encode original packets sequentially generated from a codec to generate an encoded packet in units of a generation. The encoding unit is configured to use information provided from the codec to dynamically determine a generation boundary of the original packets to encode the original packets. The encoding unit is configured to dynamically a generation size according to a generation time of the original packets. According to embodiments of the inventive concept, it is possible to use information provided from a VoIP codec to dynamically determine the boundary or size of a generation to decrease a standby time upon encoding/decoding, and may recover the loss of packets that may occur in a wired/wireless network.


Disclosed herein are an apparatus and a method for generating a multi-level test case for testing software from a unified modeling language (UML) sequence diagram (SD) based on a multiple condition control flow graph (MCCFG). The apparatus includes: a UML SD metamodel storing unit storing a UML SD metamodel defined for a model to be converted therein; an MCCFG metamodel storing unit storing an MCCFG metamodel; a model converting unit model-converting the UML SD from which the test case is to be generated according to the UML SD metamodel and the MCCFG metamodel to generate the MCCFG; and a coverage criteria unit converting the MCCFG into a tree structure and then converting the tree structure into test cases according to a selection command.


A wireless power transmission method includes searching for one or more routes to be used to transmit power to a reception resonator through one or more relay resonators, and converting the routes to respective one or more two-port networks. The method further includes calculating a transmission efficiency of each of the routes based on the two-port networks, and selecting a route with a highest transmission efficiency from the routes. The method further includes wirelessly transmitting power to the reception resonator through the selected route.


In a method of manufacturing a quantum dot, a core may be formed using (utilizing) at least one cation precursor and at least one anion precursor. The core may be reacted with a shell forming precursor and a ligand forming precursor for more than one hour to form a shell enclosing the core and a ligand. A nanoparticle including the core, the shell and the ligand may be washed.


Song W.-S.,Hongik University | Yang H.,Hongik University
Chemistry of Materials | Year: 2012

Copper indium sulfide (CIS) quantum dots (QDs) with different Cu/In molar ratios of 1/1, 1/2, and 1/4 are synthesized via a hot colloidal route. The band gap energy of CIS QDs is observed to be dependent on Cu/In ratio, exhibiting a higher band gap from more Cu-deficient QDs. The emission wavelengths of all CIS QDs belong to a deep red region (665-717 nm) with relatively low quantum yields (QYs) of 8.6-12.7%. Compared to respective original core QDs, the absorption peaks of all CIS/ZnS QDs are blue-shifted, and their emission wavelengths move to a higher energy accordingly, showing a quite tunable emission from yellow to red. The effective surface passivation by a ZnS overlayer results in a dramatic increase in QY of CIS/ZnS QDs in the range of 68-78%. All CIS/ZnS QDs are tested as wavelength converters for the fabrication of QD-based light-emitting diodes (LEDs). QD-based white LEDs that consist of only a single type of QD are for the first time realized by applying yellow-emitting CIS/ZnS QDs as a result of the appropriate color mixing between blue emission from a LED chip and yellow emission from QDs. Detailed electroluminescent properties including color rendering index, Commission Internationale de l'Eclairage (CIE) color coordinates, and luminous efficiency of QD-based white LEDs are evaluated as a function of forward current. © 2012 American Chemical Society.


Patent
Hongik University | Date: 2015-11-04

Provided is a method of determining a mobility state of a specific target. The method of determining a mobility state of a specific target by using a particle filter having particles defined as N independent random variables, the method comprising: calculating a current speed of the specific target, and calculating a value relating to a cumulative probability at which the specific target has the current speed, repeating a particle update process of updating a value of each particle by a number of times according to a predetermined rule, and calculating an average value of values that the N particles updated have, and determining a mobility state of the specific target based on the average value, wherein a weigh is calculated to use for updating the value of the particle by using the cumulative probability.


Disclosed is a method of predicting users position. This method comprises, creating information on a plurality of location clusters by processing a plurality of position data for a user with a probability based clustering algorithm; receiving a current position data of the user and determining a first location cluster to which the current data is mapped among the plurality of location clusters; and creating second information related to a probability that the user moves from the first location cluster to a second location cluster among the plurality of location clusters. The position data is a data tuple including latitude, longitude, and time. For all the plurality of location clusters, the information includes a determined representative position value of each of the location clusters.


Patent
Hongik University | Date: 2014-12-30

A customized 3D printing robot that is configured such that components of the robot are produced using a 3D printing technology. In particular, the customized 3D printing robot enables a user to directly select an appearance design for each component and assemble the components so that an entire appearance design of the robot can be customized.

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