B2B 기업의 마케팅 활동과 고객의 시장 환경이 매출 성과에 미치는 영향

김상화(Sanghwa Kim),김지연(Jeeyeon Kim),최정혜(Jeonghye Choi),정예림(Yerim Chung) 한국경영과학회 2016 한국경영과학회지 Vol.41 No.4

Marketing activities play an important role in determining sales performances for B2B companies; however, prior research implies that the effect of marketing activities in the industrial market cannot be inferred from findings in the consumer market due to their differences such as types of customers or products. We further note that B2C companies (i.e. B2B client companies) serve individual consumers, and thus, B2B sales performance can be better understood as consumer market contexts are also taken into account. In this research, we study B2B marketing activities and B2C market contexts, and their effects on B2B sales performance. To this end, we focus on three factors : sales calls conducted by B2B companies, and market commercialization and social interactions in regions where B2C companies operate. Our empirical analyses provide the following results. First, B2B sales performance improves in proportion to sales calls. When sales calls serve as the means to provide product information, they help client companies understand product benefits and make purchases accordingly. Second, B2B sales performance increases as B2C markets become more commercialized, but the effect of sales calls on B2B sales declines. Commercialized markets are more attractive to individual consumers and thus, lead to greater sales in the consumer market. However, the role of sales calls as information sources weakens as B2C companies share product information themselves and develop expertise in commercialized markets. Finally, B2B sales are greater in urban markets compared to suburbs. However, the effect of sales calls on B2B sales increases in suburban markets compared to the urban counterpart. Cohesive social interactions in suburbs hinder information diffusion among B2C companies, which in turn strengthens the role of sales calls as information sources. We theoretically contribute to the B2B marketing literature and managerially suggest strategies to improve B2B sales performance.

Identification of genes with correlated patterns of variations in DNA copy number and gene expression level in gastric cancer

Yang, Sanghwa,Jeung, Hei-Cheul,Jeong, Ha Jin,Choi, Yeon Ho,Kim, Ji Eun,Jung, Jae-Joon,Rha, Sun Young,Yang, Woo Ick,Chung, Hyun Cheol Elsevier 2007 Genomics Vol.89 No.4

<P><B>Abstract</B></P><P>To identify DNA copy number changes that had a direct influence on mRNA expression in gastric cancer, cDNA microarray-based comparative genomic hybridization (aCGH) and gene expression profiling were performed using 17?K cDNA microarrays. A set of 158 genes showing Pearson correlation coefficients over 0.6 between DNA copy number changes and mRNA expression level variations was selected. In an independent gene expression profiling of 60 tissue samples, the 158 genes were able to distinguish most of the normal and tumor tissues in an unsupervised hierarchical clustering, suggesting that the differential expression patterns displayed by this specific group of genes are most likely based on the gene copy number changes. Furthermore, 43 statistically significant (<I>P</I><0.01) genes were selected that correctly distinguished all of the tissue samples. The copy number changes detected by aCGH can be verified by fluorescence <I>in situ</I> hybridization and real-time polymerase chain reaction. The selected genes include those that were previously identified as being tumor suppressors or deleted in various tumors, including <I>GATA binding protein 4</I> (GATA4), <I>monoamine oxidase A</I> (MAOA), <I>cyclin C</I> (CCNC), and oncogenes including <I>malignant fibrous histiocytoma amplified sequence 1</I> (MFHAS1/MASL1), <I>high mobility group AT-hook 2</I> (HMGA2), <I>PPAR binding protein</I> (PPARBP), <I>growth factor receptor-bound protein 7</I> (GRB7), and <I>TBC1 (tre-2, BUB2, cdc16) domain family, member 1</I> (TBC1D1).</P>

Novel biomarker candidates for gastric cancer.

Yang, Sanghwa,Chung, Hyun Cheol National Hellenic Research Foundation 2008 ONCOLOGY REPORTS Vol.19 No.3

<P>Gastric cancer continues to be a major threat to human health. Molecular descriptions on the diverse phases of this disease will be valuable for a better diagnosis and development of therapeutic targets. Previously, a 92-gene classifier that distinguishes tumor from non-tumor gastric tissues was proposed. To corroborate this finding, independent approaches of gene selection and class prediction algorithm were applied to the dataset of 86 tissues profiled on 17K cDNA microarrays. As a result, 22 genes were selected, of which 18 were in common with 92 genes previously shown. The differential expression patterns of Chromogranin A (CHGA) and Thy-1 cell surface antigen (THY1) were further validated with immunohistostaining on gastric tissue microarrays. The differential expression patterns of several of the proposed genes have been proven to be critical for tumor progression in other cancer models and will likely function as novel biomarkers for gastric cancer as well.</P>

Collision-Minimizing Beacon Scheduling Scheme Using RPL in Dense TSCH-Based IoT Environment

Jaeyoung Kim,Sanghwa Chung,Hyungteak Shin 한국정보과학회 2021 Journal of Computing Science and Engineering Vol.15 No.3

Time slotted channel hopping (TSCH) is one of the techniques defined in the IEEE802.15.4e standard. TSCH operates based on a time-division scheme and uses 16 separate channels for each communication, ensuring high reliability. Since the entire network operates synchronously, the network participation process is indispensable. However, due to the channel change technique of TSCH, the network participation time of a new node that wants to participate in the network becomes longer. In the previous research, channels for beaconing were chosen randomly to reduce network formation time. However, this approach is effective in networks with a smaller number of nodes, e.g., congestion occurs due to collisions of beacon messages in networks with approximately more than 20, which increases the network participation time. In addition, since channels are selected stochastically, beacons can’t be broadcast evenly throughout the network. To solve this problem, this paper proposes a collision-minimizing scheduling scheme. The strategy allocates a separate timeslot for each node, eliminating the possibility of beacon message collisions. In this experiment, the average network join time decreased by 15%. The technique applied to this technique can reduce the network formation time without network congestion in a dense industrial environment.

Extracellular Vesicles from Korean Codium fragile and Sargassum fusiforme Negatively Regulate Melanin Synthesis

Jang, Bohee,Chung, Heesung,Jung, Hyejung,Song, Hyun-Kuk,Park, Eunhye,Choi, Hack Sun,Jung, Kyuhyun,Choe, Han,Yang, Sanghwa,Oh, Eok-Soo Korean Society for Molecular and Cellular Biology 2021 Molecules and cells Vol.44 No.10

Although various marine ingredients have been exploited for the development of cosmetic products, no previous study has examined the potential of seaweed extracellular vesicles (EV) in such applications. Our results revealed that EV from Codium fragile and Sargassum fusiforme effectively decreased α-MSH-mediated melanin synthesis in MNT-1 human melanoma cells, associated with downregulation of MITF (microphthalmia-associated transcription factor), tyrosinase and TRP1 (tyrosinase-related proteins 1). The most effective inhibitory concentrations of EV were 250 ㎍/ml for S. fusiforme and 25 ㎍/ml for C. fragile, without affecting the viability of MNT-1 cells. Both EV reduced melanin synthesis in the epidermal basal layer of a three-dimensional model of human epidermis. Moreover, the application of the prototype cream containing C. fragile EV (final 5 ㎍/ml) yielded 1.31% improvement in skin brightness in a clinical trial. Together, these results suggest that EV from C. fragile and S. fusiforme reduce melanin synthesis and may be potential therapeutic and/or supplementary whitening agents.

A Local Channel Blacklisting Method Using Adaptive Channel-Quality Estimation in TSCH-Based Wireless Sensor Networks

Kihoon Jeon,Sanghwa Chung,Donghwa Yoo 한국정보과학회 2020 Journal of Computing Science and Engineering Vol.14 No.2

Owing to the development of the Internet of Things (IoT) paradigm, the energy consumption of devices and the reliability of communication have become important issues. Enhanced TSCH technology introduces a technique to select high-quality channels by using energy detection in the TSCH protocol to improve the reliability of communication in a dynamic environment where interference changes. However, it is difficult to apply ETSCH technology to a multi-hop network because the node that performs energy detection consumes more energy than the node that does not. In this article, we propose an adaptive channel-quality estimation (ACE), which flexibly adjusts the duty cycle of energy detection according to whether interference dynamically changes or not. ACEs are generally applicable regardless of the degree of change of interference, which improves energy efficiency. Also, we present ACE-blacklisting based TSCH (ACEBTSCH) that uses ACE and local channel blacklisting to blacklist the wireless channel based on energy detection in a multi-hop network. Experimental results show that ACEB-TSCH has a performance improvement of 15.94% over TSCH and 8.59% over PDR-blacklisting based TSCH.

Analysis and Evaluation of Channel-Hopping-Based MAC in Industrial IoT Environment

Donghwa Yoo,Sanghwa Chung,Jeongbae Park 한국정보과학회 2021 Journal of Computing Science and Engineering Vol.15 No.4

6TiSCH 네트워크 재전송 기반 Timeout 변화에 따른 통신 결과 비교

신형택(Hyungteak Shin),정상화(Sanghwa Chung) 한국정보과학회 2021 한국정보과학회 학술발표논문집 Vol.2021 No.6

무선 센서 네트워크에서 신뢰성 있는 센싱 정보 전달을 위한 트래픽 및 링크 품질 기반 혼잡 제어 기법

김성애(Sungae Kim),정상화(Sanghwa Chung) 한국정보과학회 2014 정보과학회논문지 : 정보통신 Vol.41 No.4

무선 센서 네트워크는 여러 개의 센서 노드들이 하나의 싱크 노드로 센싱 정보를 전달하여 수렴하는 형태의 트래픽 특성을 갖기 때문에 혼잡 지역이 자주 발생하게 된다. 기존에 제안된 혼잡 지역을 제어하는 기법들은 혼잡 지역이 발생한 후에 센싱 주기를 증가시키거나 패킷을 버림으로써 트래픽을 감소시켜 혼잡 지역을 제어하였다. 하지만 이러한 기법들은 센싱 정보를 전달할 때 신뢰성을 떨어뜨린다는 단점이 있다. 또한, 실제 환경에서는 노드 간 링크 품질이 떨어지는 경우 패킷 손실이 많은데도 불구하고 이를 고려하는 기법이 없었다. 본 논문에서는 트래픽을 감소시키지 않고 트래픽과 링크 품질에 따라 라우팅 경로를 변경하여 트래픽을 분산시켜 혼잡 지역을 제어하는 기법을 제안한다. 또한, 실험을 통해 제안 기법은 수집률을 향상시키고 종단 간 지연시간을 단축시키는 방법으로 센싱 정보를 전달할 때의 신뢰성을 높였음을 보였다. It has been occurred many times that wireless sensor networks (WSNs) had congested areas because all the sensing data collected by multiple sensor nodes are delivered to one sink node. Typically, in order to control congested areas, it used to reduce the traffic by increasing the sensing period or discarding packets. However, those schemes have a disadvantage that it loses the reliability when delivering sensing data. Moreover, there are no schemes considering case of having poor quality of links between nodes in practical terms. In this paper, we suggest a scheme not to reduce the traffic but to distribute the traffic by changing routing paths depends on the traffic and the quality of links. Also, it can be seen that the reliability of delivering of the sensing data is improved with the experiments improving collection rates and shortening end-to-end delay.

IoT 환경에서 데이터 분산 처리를 위한 CEP Rule 배포 알고리즘

박성훈(Sunghoon Park),정상화(Sanghwa Chung) 한국정보과학회 2018 정보과학회논문지 Vol.45 No.7

IoT 디바이스가 점점 증가하는 추세에 따라 디바이스에서 발생하는 데이터 또한 기하급수적으로 증가하고 있다. 여기서 발생하는 데이터들을 데이터베이스를 활용한 시스템 구조를 통해 저장, 관리하고 있다. 하지만, 급증하는 데이터들을 관리하기에 기존의 데이터베이스는 유지비용과 실시간성의 측면에서 한계에 부딪히게 되었다. 이런 한계를 극복하기 위해서, 데이터를 네트워크 내부에서 최대한 처리하는 CEP(Complex Event Processing)가 등장하게 되었고, 이를 활용하여 서버와 네트워크 내부에서 함께 데이터 처리를 수행하고 있다. 본 논문에서는 IoT 환경에서 CEP Rule의 배포를 통해 서버의 부담을 줄이고, 네트워크의 성능을 보장할 수 있는 CEP Rule 배포 알고리즘을 제시한다. 제안한 알고리즘의 성능 검증을 위해 OpenWSN 등의 오픈소스와 TelosB 노드를 활용한 소규모의 실험을 수행하고, 알고리즘에 따른 서버 부담의 경감과 데이터 처리 성능을 검증한다. As the number of IoT devices increases, data coming from devices are also increasing exponentially. The data generated from devices are stored and managed through a system structure using the database. However, to manage the surging data, the existing database is limited in terms of maintenance costs and in real time. Too overcome these limitations, Complex Event Processing (CEP), which processes data as much as possible within the network, has emerged, and data processing is being carried out using this strategy. In this paper, we propose a CEP Rule distribution algorithm which can reduce server burden and guarantee network performance through distribution of the CEP Rule in an IoT environment. To prove this, we perform a small experiment using open source, such as the OpenWSN and TelosB node, and verify the mitigation of server load and the performance of data processing according to the algorithm.