• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.163-170
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• 2023

The user-based collaborative filtering technique, one of the implementation methods of the recommendation system, recommends the preferred items of neighboring users based on the calculations of neighboring users with similar rating histories. However, it fundamentally has a data scarcity problem in which the quality of recommendations is significantly reduced when there is little common rating history. To solve this problem, many existing studies have proposed various methods of combining Jaccard index with a similarity measure. In this study, we introduce a time-aware concept to Jaccard index and propose a method of weighting common items with different weights depending on the rating time. As a result of conducting experiments using various performance metrics and time intervals, it is confirmed that the proposed method showed the best performance compared to the original Jaccard index at most metrics, and that the optimal time interval differs depending on the type of performance metric.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.259-266
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• 2023

In this paper, we propose an algorithm that can improve the accuracy performance of collaborative filtering using attribute-based opinion mining (ABOM). For the experiment, a total of 1,227 online consumer review data about smartphone apps from domestic smartphone users were used for analysis. After morpheme analysis using the KKMA (Kkokkoma) analyzer and emotional word analysis using KOSAC, attribute extraction is performed using LDA topic modeling, and the topic modeling results for each weighted review are used to add up the ratings of collaborative filtering and the sentiment score. MAE, MAPE, and RMSE, which are statistical model performance evaluations that calculate the average accuracy error, were used. Through experiments, we predicted the accuracy of online customers' app ratings (APP_Score) by combining traditional collaborative filtering among the recommendation algorithms and the attribute-based opinion mining (ABOM) technique, which combines LDA attribute extraction and sentiment analysis. As a result of the analysis, it was found that the prediction accuracy of ratings using attribute-based opinion mining CF was better than that of ratings implementing traditional collaborative filtering.

• Journal of Fashion Business
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• v.28 no.1
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• pp.36-50
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• 2024

This study aims to explore the potential of integrating traditional Indian motifs into modern textile design that appeals to the MZ generation. The objective is to create patterns that reflect the rich cultural tapestry of India while aligning with contemporary sensibilities. To achieve this, the design process includes a comprehensive literature review on the historical background, symbolism, and structure of Indian textiles and a survey to determine if the developed design suits the preferences of the MZ generation. Digital design tools such as TexPro, Photoshop, and Illustrator were used to create the designs based on the theme 'Cosmic Dream,' with sub-themes inspired by nature and Indian symbolism. 'Blooming Cosmos' focused on the structural beauty of the lotus, combined with paisley and rangoli patterns, for a vintage yet modern appeal. 'Cosmos in Blossom' is drawn from the rangoli technique of using varied materials, resulting in a romantic pastel-themed pattern that aligns with the 2023 Youth Trend. 'Cosmic Peacock' presented a lively ethnic pattern by merging simplified lotus motifs with India's national bird, peacock along with a paisley backdrop. A questionnaire was conducted to check the MZ consumer responses, and the most preferred design was the peacock and rangoli mixed design, ground colored in cream. These findings indicate the potential of the developed ethnic designs to be used for various purposes. By combining traditional motifs of India with modern elements, this study proposes ethnic textile designs that are suitable for MZ generation consumers.

• Convergence Security Journal
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• v.23 no.4
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• pp.93-100
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• 2023

This paper presents a novel approach for assigning group keys within a dynamic swarm unmanned system environment. In this environment, multiple groups of unmanned systems have the flexibility to merge into a single group or a single unmanned system group can be subdivided into multiple groups. The proposed protocol encompasses two key steps: group key generation and sharing. The responsibility of generating the group key rests solely with the leader node of the group. The group's leader node employs a secret sharing scheme to fragment the group key into multiple fragments, which are subsequently transmitted. Nodes that receive these fragments reconstruct a fresh group key by combining their self-generated secret fragment with the fragment obtained from the leader node. Subsequently, they validate the integrity of the derived group key by employing the hash function. The efficacy of the proposed technique is ascertained through an exhaustive assessment of its security and communication efficiency. This analysis affirms its potential for robust application in forthcoming swarm unmanned system operations scenarios characterized by frequent network group modifications.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.2
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• pp.1-11
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• 2021

Lately, the Korean Government has gradually expanded participation by local residents who are users of the area in the smart city project for the construction of region specialization smart city service (hereinafter called "Smart Service") and the enhancement in the citizen's awareness. However, due to the lack of information on smart service-related technology, there has been a limitation in getting the specific opinion of citizens in the process of designing the Smart Service. In this study, reports made by 4 four local governments which were selected for implementation of 2019 "Smart Town Challenge Projects" were reviewed to diagnose the actualization level of the smart service suggested by citizens through the living lab. The analysis results show that though the smart service plan was established by using diverse design thinking methodology through the living lab, there was a limitation in having citizens design the specific functions of the smart service. So, this study suggests the function issue card technique which can be used by modulating and freely combining four elements such as information collection, processing, supplying method and technique of the smart service and the service contents. This function issue card technique was directly applied to the living lab of the smart city project to verify its effectiveness. It was found that through this technique, citizens can combine the functions and contents of the smart service to materialize smart services at the level of detailed functions. The function issue card technique suggested in this study is expected to contribute to the actualization of opinions for the role of citizens as co-creators in solving local problems in the citizen participation type smart city plan in the future, thus helping the design of the regional specialization smart service.

• Journal of Broadcast Engineering
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• v.22 no.4
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• pp.496-508
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• 2017

In this paper, we propose a Tone Mapping Operator (TMO) that preserves global contrast and precisely preserves boundary information. In order to reconstruct a High Dynamic Range (HDR) image to a Low Dynamic Range (LDR) display by using Threshold value vs. Intensity value (TVI) based on Human Visual System (HVS) and contrast value. As a result, the global contrast of the image can be preserved. In addition, by combining the boundary information detected using Guided Image Filtering (GIF) and the detected boundary information using the spatial masking of the Just Noticeable Difference (JND) model, And improved the perceived image quality of the output image. The conventional TMOs are classified into Global Tone Mapping (GTM) and Local Tone Mapping (LTM). GTM preserves global contrast, has the advantages of simple implementation and fast execution time, but it has a disadvantage in that the boundary information of the image is lost and the regional contrast is not preserved. On the other hand, the LTM preserves the local contrast and boundary information of the image well, but some areas are expressed unnatural like the occurrence of the halo artifact phenomenon in the boundary region, and the calculation complexity is higher than that of GTM. In this paper, we propose TMO which preserves global contrast and combines the merits of GTM and LTM to preserve boundary information of images. Experimental results show that the proposed tone mapping technique has superior performance in terms of cognitive quality.

• Korean Journal of Animal Reproduction
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• v.17 no.2
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• pp.149-157
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• 1993

A new technique was established to maximize the numbers of follicular oocytes recovered from the ovaries obtained at the slaughter house. And their further developmental capacity was demonstrated. There recovery techniques were used; aspiration (ASP, control), slicing (SLC) and slicing combining aspiration (ASP+SLC). Recovered oocytes were cultured in TCM 199+15% FCS+gonadotrophins in an atmosphere of 5% CO$_2$ in air at 39$^{\circ}C$ for 24 h. The nuclear maturation was detemined with chromo-some configuration by rapid staining. And cytoplasmic maturation was examined by the formation of female pronuclei with parthenogenetic activation of the matured oocyte after 18 h of co-culture with granulosa cell monolayer. Total 1,641 bovine follicular oocytes recovered from 245 ovaries. The number of oocytcs per ovary was 1.87 in ASP, 11.05 in SLC and 7.88 in ASP+SLC, respectively. SLC would yield 5.9 folds increase, compared with ASP. The rate of maturation were 92.9% in ASP, 79.1% in SLC and 71.7% in ASP+SLC, respectively. Although the maturation rate in ASP was the highest, metaphase II oocytes per ovary in SLC was 5 times higher than that of ASP. The rates of pronuclei formation upon ethanol activation were 75% in ASP, 67% in SLC and 62.5% in ASP+SLC, respectively. The results demonstrate that it should be possible to maximize the number of the follicular oocyte from the ovary for mass production of bovine embryos. Thus the established technique may provide efficient supply of bovine embryos for biochemical and molecular study of early bovine embryos.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.3
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• pp.523-529
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• 2017

In this paper, we propose an efficient sphere decoding scheme that reduces computational complexity by combining receive and transmit ordering techniques in generalized spatial modulation systems, where the indexes of activated transmit antennas as well as the transmit symbols are exploited to transfer information to the receiver. In this scheme, the receive signals are optimally ordered so that the calculation for a candidate solution outside the sphere is terminated early to lower the computational complexity. In addition, the transmit ordering technique is applied to first search for candidate symbols and activated antennas having higher probabilities to further reduce the computational complexity. Simulation results show that the proposed doubly ordered sphere decoding scheme provides the same bit error rate performance with the conventional sphere decoding method and the sphere decoder employing only the receive ordering technique while it requires lower computational complexity.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.12A
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• pp.1319-1332
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• 2004

Multicarrier direct sequence code-division multiple access CDMA(MC DS-CDMA) is an attractive technique for achieving high data rate transmission even if the potentially large peak-to-average power ratio(PAPR) is an important factor for its application. On the other hand, code select CDMA(CS-CDMA) is an attractive technique with constant amplitude transmission of multicode signal irregardless of subchannels by introducing code selection method. In this paper we propose a new multiple access scheme based on the combination of MC DS-CDMA and CS-CDMA. Proposed scheme, which we called MC CS-CDMA, includes the sutclasses of MC DS-CDMA and CS-CDMA as special cases. The performance of this system is investigated for multipath Sequency selective fading channel and maximal ratio combining with rake receiver. In addition the PAPR of proposed system is compare with that of both MC BS-CDMA and CS-CDMA. Simulation results show that proposed system improves PAPR reduction than MC DS-CDMA at the expense of the complexity of receiver and the number of available non. Also, the numerical result shows that the proposed system is better performance than MC DS-CDMA due to the increasing processing gain and the number of time diversity gain.

• The KIPS Transactions:PartB
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• v.14B no.4
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• pp.249-254
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• 2007

A mobile robot with various types of sensors and wireless camera is introduced. We show this mobile robot can detect objects well by combining the results of active sensors and image processing algorithm. First, to detect objects, active sensors such as infrared rays sensors and supersonic waves sensors are employed together and calculates the distance in real time between the object and the robot using sensor's output. The difference between the measured value and calculated value is less than 5%. We focus on how to detect a object region well using image processing algorithm because it gives robots the ability of working for human. This paper suggests effective visual detecting system for moving objects with specified color and motion information. The proposed method includes the object extraction and definition process which uses color transformation and AWUPC computation to decide the existence of moving object. Shape information and signature algorithm are used to segment the objects from background regardless of shape changes. We add weighing values to each results from sensors and the camera. Final results are combined to only one value which represents the probability of an object in the limited distance. Sensor fusion technique improves the detection rate at least 7% higher than the technique using individual sensor.