In this study, a model was developed to predict for Disinfection By-Products (DBPs) generated in water supply networks and consumer premises, before and after the introduction of advanced water purification facilities. Based on two-way ANOVA, which was carried out to statistically verify the water quality difference in the water supply network according to introduce the advanced water treatment process. The water quality before and after advanced water purification was shown to have a statistically significant difference. A multiple regression model was developed to predict the concentration of DBPs in consumer premises before and after the introduction of advanced water purification facilities. The prediction model developed for the concentration of DBPs accurately simulated the actual measurements, as its coefficients of correlation with the actual measurements were all 0.88 or higher. In addition, the prediction for the period not used in the model development to verify the developed model also showed coefficients of correlation with the actual measurements of 0.96 or higher. As the prediction model developed in this study has an advantage in that the variables that compose the model are relatively simple when compared with those of models developed in previous studies, it is considered highly usable for further study and field application. The methodology proposed in this study and the study findings can be used to meet the level of consumer requirement related to DBPs and to analyze and set the service level when establishing a master plan for development of water supply, and a water supply facility asset management plan.

Understanding biotic interactions is important to illustrate ecological functions of stream environments. The purposeof this study is to compare the ecological functions of natural and artificial streams. For linking species, we used bioticinteraction databases and made food-webs for species lists of 18 streams in Seoul, Korea. We conducted species removalanalysis of networks and compared network beta-diversity between watersheds. The results showed that natural streamswere more affected by a removal of keystone species than artificial streams. The cheonggye watershed including artificialstreams had high dissimilarities among streams, presenting that artificial streams had different functions from natural streams.

목 적 : 본 연구는 석시닐-키토산(succinyl-chitosan)을 합성하고 p(HEMA) 하이드로겔과의 상호 침투 고분자 구조 결합을 통해 제조한 콘택트렌즈의 물리적 성질 및 단백질 흡착특성에 대하여 알아보고자 한다. 방 법 : 키토산과 succinic anhydride를 교반하여 석시닐-키토산을 합성 한 다음 HEMA, EGDMA, NVP, AIBN을 공중합하여 건조시킨 콘택트렌즈와 상호침투가교방법으로 콘택트렌즈를 제조하였다. 제조된 콘택트 렌즈의 물리적 특성을 평가하기 위해 함수율, 접촉각, 광투과율, 표면의 거칠기를 측정하였으며, 인공눈물을 제조 한 다음 로리 단백질 정량법을 이용하여 단백질의 흡착특성을 평가하였다. 결 과 : 석시닐-키토산이 가교 되어 있는 콘택트렌즈의 경우 석시닐-키토산이 가교되어 있지 않은 대조 군에 비해 단백질 흡착량의 감소를 나타냈으며, 가교한 석시닐-키토산의 분자량이 클수록 단백질 흡착량이 감소하는 것을 알 수 있었다. 또한 석시닐-키토산의 분자량이 클수록 함수율은 증가하고 접촉각은 감소하여 습윤성의 증가를 확인할 수 있었다. 결 론 : 석시닐-키토산을 p(HEMA) 하이드로겔과 상호 침투 가교 하는 방법을 통해 기존의 콘택트렌즈가 가지는 물성을 해치지 않으면서 습윤성이 뛰어나고 단백질의 흡착을 줄일 수 있는 콘택트렌즈 제조가 가능 할 것으로 사료된다.

This study conducted a social network analysis to investigate stem cell research which was actively being studied as an alternative for the treatment of intractable diseases due to infinite proliferation and differentiation ability. Papers was extracted from the PubMed database (DB) on the subject of ‘Induced Pluripotent Stem Cells (iPS) and Embryonic Stem Cells (ES)’, and ‘Adult Stem Cell (AS) and Mesenchymal Stem Cell (MS)’. Medical Subject Headings (MeSH) term was filtrated from each area. MeSH term of iPS and ES field was 148 (international), 71 (domestic), otherwise AS and MS were 89 (international), 78 (domestic). Keyword networks were visualized using degree centrality value and the core keywords compared. There was no difference in iPS and ES field compared with the domestic and international high-ranked keywords. Gene Therapy in the international level, Liver Regeneration and the Umbilical Cord in domestic were highly centered. In AS and MS fields, Neuron was high degree centrality both. Time lagged high ranked 30 keywords in slope were different, ‘Adipose Tissue’ increased both, otherwise ‘Stem Cell Transplantation’ did domestically. Although the absolute amounts of the research papers are different, research subjects had become similar to international trends following certain time lags. On the other hand research is conducted on the specific subjects in Korea. Keyword analysis will be useful method for searching a subject to actively being studied in stem cell research area.

The purpose of this study is to build a rural landscape industrial network system and establish the roles and relationships of stakeholders within that system. The rural landscape industrial network system was set up systematically, based on five business model components: value proposition, target customer, value chain/organization, delivery design, and revenue stream. The roles and relationships of stakeholders were established using a case study of the typical industrialization using rural landscape. The proposed rural landscape industrial network system consists of core industry, auxiliary industry, and the network service industry that connects the two. It was designed to have a system for landscapes to maintain their rurality, with the mutual effects among government agencies and local governments, specialized organizations, local residents, and visitors all described in the industries. Data from the rural landscape industrial network system proposed in this study can be used as baseline data to set the direction for industrialization using the rural landscape at villages.

민감정보는 ‘사생활 침해의 현저성’ 등을 이유로 일반적인 개인정보와 달리 취급하도록 요구된다. 「개인정보 보호법」과 「정보통신망법」은 각각 민감정보에 대하여 규율하고 있으나 그 유형 및 기준이 조금씩 다 르다. 특히 최근 정보통신서비스 제공과정에서 생체정보나 개인영상정보 등이 많이 활용되고 있는바 그러한 정보가 민감정보에 해당되는지, 그렇 다면 일반적인 개인정보와 달리 특별히 규율할 필요성이 있는지에 대하 여 검토할 필요가 있다. 또한 정보통신서비스 제공자와 이용자 간의 관 계를 규율하는 「정보통신망법」은 개인정보에 대한 일반법이라 할 수 있는 「개인정보 보호법」과의 정합성, 해외 입법과의 조화, 정보통신서 비스의 특수성을 반영하여 규율되어야 한다. 따라서 본 고에서는 정보통 신서비스 제공과정에 있어서 민감정보의 활용쟁점을 검토한 후 현행법상 민감정보 규율 내용과 한계를 분석하고 「정보통신망법」상 민감정보 규 율의 개선방안을 제안하였다. 그 주요내용으로 법률의 명확성, 개인정보 보호법과의 정합성 측면에서 “민감정보” 규정방식을 한정적 열거방식으 로 수정할 것을 제안하였다. 또한 민감정보의 유형으로서 생체정보, 건 강·성생활·성적 성향에 대한 정보, 유전정보 등이 추가되어야 하며, 민 감정보 처리의 허용을 무조건 법률에 위임할 것이 아니라 일정한 기준에 부합하는 경우에만 다른 법률에서 처리할 수 있는 방안을 제안하였다. 또한 민감정보의 관리, 보관, 파기 등에 있어서 특칙 필요성을 검토하였다.

본 연구는 1991년∼2005년의 기간 동안 한국 특허청에 출원된 내국인 특허의 공동발명자료를 이용해 네트워크 특성 변수들의 ‘연도별 x 발명자별’ 패널 자료를 구축하고, 이 자료를 사용하여 발명자 네트워크의 특성변수들이 발명자의 특허생산성에 미치는 효과를 패널 회귀분석하였으며, 다음과 같은 결과를 얻었다. 첫째 네트워크상의 강한 연계는 발명자 생산성에 정(+)의 효과를 미치는 것으로 나타났다. 둘째, 네트워크내 중심에 있는 발명자일수록 특허생산성이 높았다. 셋째, 네트워크의 기술적 다양성은 발명자의 특허생산성을 높이는 요인이다. 넷째, 발명자 네트워크의 질이 좋을수록 그 네트워크에 속한 발명자의 특허생산성이 높아진다. 다섯째, 네트워크의 크기가 클수록 네트워크내 발명자의 특허생산성이 높다. 여섯째, 네트워크에만 의존하는 발명자의 특허생산성은 상대적으로 낮았지만, 네트워크에 속하지 않은 발명자의 특허생산성은 오히려 높았다. 일곱째, 네트워크 변수들의 효과는 지역별로 차이가 있다. 여덟째, 지리적 경계가 약화되고 있지만, 네트워크 효과의 지역적 차이는 줄어 들지 않고 있다.

감정은 학습능력, 행동, 판단력 등 삶의 많은 부분에 영향을 끼치므로 인간의 본질을 이해하는 데 중요한 역할을 한다. 그러나 감정은 개인이 느끼는 강도가 다르며, 시각 영상 자극을 통해 감정을 유도하는 경우 감정이 지속적으로 유지되지 않는다. 이러한 문제점을 극복하기 위하여 총 4가지 감정자극(행복, 슬픔, 공포, 보통) 시 생체신호(뇌전도, 맥파, 피부전도도, 피부 온도)를 획득하고, 이로부터 특징을 추출하여 분류기의 입력으로 사용하였다. 감정 패턴을 확률적으로 해석하여 다른 공간으로 매핑시켜주는 역할을 하는 Restricted Boltzmann Machine (RBM)과 Multilayer Neural Network (MNN)의 은닉층 노드를 이용하여 비선형적인 성질의 감정을 구별하는 Deep Belief Network (DBN) 감정 패턴 분류기를 설계하였다. 그 결과, DBN의 정확도(약 94%)는 오류 역전파 알고리즘의 정확도(약 40%)보다 높은 정확도를 가지며 감정 패턴 분류기로서 우수성을 가짐을 확인하였다. 이는 향후 인지과학 및 HCI 분야 등에서 활용 가능할 것으로 사료된다.

Productivity improvement is one of the important goals which firms’ technology developments aim at. Firms’ improved productivity from technology development means that their inputs can produce more outputs through technology development, which makes firms’ productivity improvement from technology development more and more important in the age of technology advance and convergence like today. This research empirically analyzes the influence of the external technology collaboration network diversity on the productivity improvement of the small and medium-sized enterprises (SMEs) from technology development and the moderating effect of the chief technology officer (CTO)-driven technology development on this influence. This study constructs the research model reflecting the moderating impact of the CTO-driven technology development and tests it with the ordinary least squares regression through the IBM SPSS version 23 by using the 2,000 data about South Korean SMEs. This research empirically reveals two points. One is that SMEs’ external technology collaboration network diversity has a positive influence on their productivity improvement from technology development. The other is that the positive effect of SMEs’ external technology collaboration network diversity on their productivity improvement from technology development is moderated by the CTO-driven technology development. The two points revealed in this study present two meaningful implications in not only the practical but also academic point of view. The practical implication is that it is effective for SMEs to use CTOs in increasing their productivity improvement from technology development. The academic implication is that making technology collaboration with more diverse external partners can increase SMEs’ productivity improvement from technology development.

This paper introduces the implementation of runtime synchronization method when mobile network is broken during the game play. In case of network failure, the game is restored using the saved play record. Before the network failure, the previous game play is recorded in the server. The runtime synchronization is performed using the recorded game play in 2-times, 4-times, 8-times and 12-times according to the paused time and the game is played continuously. Using the proposed method, the user can play the mobile game uninterrupted. The project mobile game is implemented, and shows the effectiveness of the proposed method.

Deep learning techniques are being studied and developed throughout the medical, agricultural, aviation, and automotive industries. It can be applied to construction fields such as concrete cracks and welding defects. One of the best performing techniques of deep running is CNN technique. In this study, we analyzed the classification of handwritten images using CNN technique before applying them to construction field. Deep running is generally more accurate with deeper layers, but analysis cost is high. In addition, many variations can occur depending on training options. Therefore, this study performed a parametric study to be a reference when CNN technique was applied through accuracy analysis according to training options.

최근 국내외에서는 수질안정성 향상 및 부지면적 저감을 위해 막여과 공정도입이 활발한 추세이며 특히, 정수처리 분야에서는 정밀여과(Microfiltration) 및 한외여과(Ultrafiltration) 공정이 많이 적용되고 있다. 막여과 공정의 경제성 향상을 위해서는 세정 시점의 예측 및 세정 주기 연장이 매우 중요한 요소이다. 따라서, 본 연구에서는 인공신경망(Artificial neural network)을 활용하여 UF 공정차압(Transmembrane pressure) 예측 모델을 개발하고자 한다. 입력변수로는 유입수 온도, pH, 탁도 등의 일평균값을 이용하였다.

본 연구에서는 고밀 시가화지역 내 녹지들의 경관생태학적 특성과 연결성을 분석함으로써 잠재적인 녹지패치들의 활용가능성을 평가하고, 이를 통해 생활권 내 녹지 네트워크를 형성하기 위한 도시정원의 도입 방안을 제시하고자 한다. 이를 위해, 서울시에서 공원 서비스 소외지역 및 중점녹화지구로 분류된 역삼동 일대를 대상지로 선정하였다. 우선, 대상지 일대 고밀 시가화지역 내 녹지의 현황을 가로녹지, 개인정원, 자투리공지, 공원, 옥상정원의 5개 항목으로 분류하여 파악하고, 녹지 네트워크 분석 및 잠재적 녹지의 가치를 평가하기 위하여 FRAGSTATS를 통한 경관지수 분석 및 다중버퍼생성분석을 통한 연결성평가를 실시하였다. 연구결과, 대상지 내 녹지면적은 가로녹지, 개인정원, 자투리공지, 공원, 옥상정원의 순으로 분포되어 있었다. 녹지의 유형별 특징으로는 가로녹지의 경우 핵심지역면적 (TCA)이 1,618m2로 가장 높은 값을 보여 선형 연결 녹지임에도 공원(1,128m2)에 상응하는 크기를 보였고, 개인정원의 경우 패치의 모양이 불규칙하면서도(ED=78.1m/㏊), 최근린 평균거리가 33.9m로 낮아 사유지내에서의 자유로운 정원 조성을 통해 고밀 시가화지역의 녹지군을 형성할 수 있음을 나타내었다. 자투리공지의 경우 대상지 내 가장 고루 분포하는(LPI=5.7%, SHEI=0.9) 녹지유형이나 외부교란에 노출되어 있어(TCA=66m2), 이를 고려한 정원으로의 활용 방안을 시사하였다. 대상지 내 녹지네트워크 형성에 있어서도 50m의 버퍼 범위를 연결녹지로 상정한 경우 전체 대상지 의 84%가 소규모 녹지네트워크에 의해 커버되는 것으로 나타났으며, 자투리공지의 연결만으로도(27%) 가로녹지(26%) 조성에 상응하는 네트워크 구축효과가 기대되었다. 이에, 주택지역을 중심으로 다양한 활동이 가능한 자투리 공공녹지 에 지역기반의 커뮤니티 가든 등 도시정원 조성을 장려하고, 가로녹지, 개인정원, 옥상정원도 동시에 적극 활용함으로써 고밀 시가화지역 내에 녹지네트워크를 효과적으로 구축할 수 있다고 판단되었다.

This study empirically analyzes the effect of IT SME ventures’ external information network diversity on their production period reduction and productivity improvement generated from technology development. This research constructs a mediating model based on the open innovation perspective and tests it with the 138 samples of South Korean IT SME ventures based on the ordinary least squares regression. This research is expected to make a good contribution by shedding a new light on the following three points about the critical role of IT SME ventures’ external information network diversity in increasing their production period reduction and productivity improvement generated from technology development which has scarcely been illuminated in the extant studies in the field of the management of technology for SMEs. First, IT SME ventures’ external information network diversity positively influences their production period reduction. Second, the external information network diversity positively influences IT SMEs’ ventures’ productivity improvement. Third, IT SME ventures’ production period reduction partially mediates the influence of IT SME ventures’ external network diversity on their productivity improvement. These three fresh points are expected to provide useful theoretical and practical implications. Related to the theoretical implication, this research provides a fresh implication that IT SME ventures’ external information network diversity positively influences not only their production period reduction but also productivity improvement generated from technology development. Concerning the practical implication, this study suggests that the CEOs in IT SME ventures make strategic efforts to use more diverse external information sources in order to increase their production period reduction and productivity improvement generated from technology development.

Network externality can be defined as the effect that one user of a good or service has on the value of that product to other people. When a network externality is present, the value of a product or service is dependent on the number of others using it. There exist asymmetries in network externalities between the online and traditional offline marketing channels. Technological capabilities such as interactivity and real-time communications enable the creation of virtual communities. These user communities generate significant direct as well as indirect network externalities by creating added value through user ratings, reviews and feedback, which contributes to eliminate consumers’ concern for buying products without the experience of ‘touch and feel’. The offline channel offers much less scope for such community building, and consequently, almost no possibility for the creation of network externality. In this study, we analyze the effect of network externality on the competition between online and conventional offline marketing channels using game theory. To do this, we first set up a two-period game model to represent the competition between online and offline marketing channels under network externalities. Numerical analysis of the Nash equilibrium solutions of the game showed that the pricing strategies of online and offline channels heavily depend not only on the strength of network externality but on the relative efficiency of online channel. When the relative efficiency of online channel is high, the online channel can greatly benefit by the network externality. On the other hand, if the relative efficiency of online channel is low, the online channel may not benefit at all by the network externality.

For the asset management of a water pipe network, it would be necessary to understand the extent of the maintenance cost required for the water pipe network for the future. This study would develop a method to draw the optimum cost required for the maintenance of the water pipe network in waterworks facilities to maintain the aim revenue water ratio and to achieve the target revenue water ratio, considering the water service providers’ waterworks condition and revenue water ratio comprehensively. This study conducted a survey with 96 water service providers as of the early 2015 and developed models to estimate the optimum maintenance cost of the water pipe network, considering the characteristics of the water service providers. Since the correlation coefficient of all the developed models was higher than 0.95, it turned out that it had significant reliability, which was statistically significant. As a result of applying the developed models to the actual water service providers, it was drawn that increasing revenue water ratio to more than a certain level can reduce the maintenance cost of the water pipe network by a great deal. In other words, it is judged that it would be the most efficient to secure the reliability of waterworks management by increasing the short-term revenue water ratio to more than a certain level and gradually increase the revenue water ratio from the long-term perspective. It is expected that the proposed methodology proposed in this study and the results of the study will be used as a basic research for planning the maintenance of water pipe network or establishing a plan for waterworks facilities asset management.

Supply chain is usually represented by a network (which is called supply chain network) that contains some nodes. In a supply chain network these nodes are suppliers, plants, distribution centers and customers which are some facilities connected by some arcs to each other. The arcs connect the nodes in the direction of their production flow, meaning that each arc shows a route between the facilities for transporting the products. A multi-stage supply chain network (MSCN) is defined as a sequence of multiple supply chain network stages. This paper addresses a typical supply chain network problem which is based on a two-stage single-product system under uncertain conditions such that both cost and constraint parameters are interval numbers. The combination of these uncertain parameters are considered in this typical problem for the first time. In this case, two different order relations (the order relations UC ≤ and HW ≤ ) for interval numbers are considered. Then, two solution procedures are developed in order relations for the interval two-stage supply chain network design problem. The efficiency of the proposed method is illustrated by a numerical example where it is proved that the relation HW ≤ shows better performance than the relation UC ≤ .

SNS (Social network service) characteristics are perceived to simplify use. We carried out empirical studies on these parameters to observe the impact on the image of catering SNS online by word-of-mouth. The subjects of the study were as follows: 32.3% (392 persons) 19 years old, 67.7% (821 persons) over 19 years, 51.0% (619 persons) in their 20s, 22.1% (268 persons) in their 30s, 17.6% in their 50s, and 9.3% (112 persons) over 50 years. After verifying the hypothesis proposed that SNS characteristics perceived the ease of use, the significant factor identified in usability were connectivity Speed (β=0.213), playfulness (β=0.246), information (β=0.115), and reciprocity (β=0.357). Dual reciprocity had the most impact. It was observed that a longer impact of these significant factors improved the feel and fun of use. If SNS companies cater to, quick and easy, diverse, reliable and latest information, they can increase the ease of use, and availability, depending on the goals. Also, significant factors in the SNS features and online word of mouth was playfulness (β=0.312), information (β=0.207), reciprocity (β=0.066) and perceived ease of use, and usefulness (β=0.293), double playfulness had the maximum impact. These features provided more fun, reliable information, and could quickly deliver the latest information. The more the perceived usefulness, and ease of use, higher was the online word-of-mouth effect. SNS usage characteristics of connectivity Speed did not show any statistical significance in online word-of-mouth. Thus, catering businesses need to find ways to increase the ease of use, make the usefulness multifaceted, constantly checking the catering information on the SNS and ensuring to get the latest information is from diverse and reliable sources. This would increase the fun for the customer making the SNS to actively be utilized as a marketing tool.