• Title/Summary/Keyword: Environment Friendly Planning

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Eurasian Naval Power on Display: Sino-Russian Naval Exercises under Presidents Xi and Putin (유라시아 지역의 해군 전력 과시: 시진핑 주석과 푸틴 대통령 체제 하에 펼쳐지는 중러 해상합동훈련)

  • Richard Weitz
    • Maritime Security
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    • v.5 no.1
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    • pp.1-53
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    • 2022
  • One manifestation of the contemporary era of renewed great power competition has been the deepening relationship between China and Russia. Their strengthening military ties, notwithstanding their lack of a formal defense alliance, have been especially striking. Since China and Russia deploy two of the world's most powerful navies, their growing maritime cooperation has been one of the most significant international security developments of recent years. The Sino-Russian naval exercises, involving varying platforms and locations, have built on years of high-level personnel exchanges, large Russian weapons sales to China, the Sino-Russia Treaty of Friendship, and other forms of cooperation. Though the joint Sino-Russian naval drills began soon after Beijing and Moscow ended their Cold War confrontation, these exercises have become much more important during the last decade, essentially becoming a core pillar of their expanding defense partnership. China and Russia now conduct more naval exercises in more places and with more types of weapons systems than ever before. In the future, Chinese and Russian maritime drills will likely encompass new locations, capabilities, and partners-including possibly the Arctic, hypersonic delivery systems, and novel African, Asian, and Middle East partners-as well as continue such recent innovations as conducting joint naval patrols and combined arms maritime drills. China and Russia pursue several objectives through their bilateral naval cooperation. The Treaty of Good-Neighborliness and Friendly Cooperation Between the People's Republic of China and the Russian Federation lacks a mutual defense clause, but does provide for consultations about common threats. The naval exercises, which rehearse non-traditional along with traditional missions (e.g., counter-piracy and humanitarian relief as well as with high-end warfighting), provide a means to enhance their response to such mutual challenges through coordinated military activities. Though the exercises may not realize substantial interoperability gains regarding combat capabilities, the drills do highlight to foreign audiences the Sino-Russian capacity to project coordinated naval power globally. This messaging is important given the reliance of China and Russia on the world's oceans for trade and the two countries' maritime territorial disputes with other countries. The exercises can also improve their national military capabilities as well as help them learn more about the tactics, techniques, and procedures of each other. The rising Chinese Navy especially benefits from working with the Russian armed forces, which have more experience conducting maritime missions, particularly in combat operations involving multiple combat arms, than the People's Liberation Army (PLA). On the negative side, these exercises, by enhancing their combat capabilities, may make Chinese and Russian policymakers more willing to employ military force or run escalatory risks in confrontations with other states. All these impacts are amplified in Northeast Asia, where the Chinese and Russian navies conduct most of their joint exercises. Northeast Asia has become an area of intensifying maritime confrontations involving China and Russia against the United States and Japan, with South Korea situated uneasily between them. The growing ties between the Chinese and Russian navies have complicated South Korean-U.S. military planning, diverted resources from concentrating against North Korea, and worsened the regional security environment. Naval planners in the United States, South Korea, and Japan will increasingly need to consider scenarios involving both the Chinese and Russian navies. For example, South Korean and U.S. policymakers need to prepare for situations in which coordinated Chinese and Russian military aggression overtaxes the Pentagon, obligating the South Korean Navy to rapidly backfill for any U.S.-allied security gaps that arise on the Korean Peninsula. Potentially reinforcing Chinese and Russian naval support to North Korea in a maritime confrontation with South Korea and its allies would present another serious challenge. Building on the commitment of Japan and South Korea to strengthen security ties, future exercises involving Japan, South Korea, and the United States should expand to consider these potential contingencies.

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Analysis of User Behavior for the Revitalization of Small Parks near Stations by the Location Types in Influential Subway Area (역세권내 역 인접 소공원의 유형별 이용행태분석을 통한 활성화 방안 연구)

  • Lee, Joo-Hee;Park, Jin-A.
    • Journal of the Korean Institute of Landscape Architecture
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    • v.36 no.3
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    • pp.9-20
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    • 2008
  • The government is planning to link a small park with the soon to be ready subway line 9 as a part of Seoul's policy, "The standard or plan for making a water-friendly space by water use" (2007). However, the specified concepts and instructions of the small parks need further work. Therefore, the policy is expected to expand to neighboring small parks near the subway station, but these are not supported by research or data which suggests the needs or actual user behavior and utilization of small parks. our country added the specified concept of small parks and theme parks to the classification of urban parks in the Urban Park Act Revision (2005.3.31), but the concept of small parks is not clearly settled in the law in the scopes of its function, scale, promotion nor particularly defined plans for small park projects. This study examines as small park near a subway station. The characteristics of there region and users vary from the characteristics of the station and region. In the "directions for concrete standards under the types of urban parks and green zones" (2007.2) the types of small parks are classified by "regional characteristics" and "user characteristics". Therefore, this study classifies the subject of neighboring small parks near subway stations as the neighborhood and small urban parks according to the Urban Park Act. The study was paralleled with observation and questionnaires on the analysis of the neighborhood and small urban parks. The actual conditions of park utilization and user behavioral characteristics were deducted by observation, while the questionnaire determined actual user utilization, importance and satisfaction level as well as the small park environment. This study largely focused on three aspects: park facility, design of this sentence isn't even complete. The second aspect isn't finished and the third isn't here.

A Study on the Brand Characteristics According to Trends in the Children's Apparel Market

  • Han, Gyung-Hee
    • Journal of Fashion Business
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    • v.9 no.6
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    • pp.160-174
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    • 2005
  • Despite the decrease in the number of children due to low birth rate, the domestic children's apparel market has been achieving steady growth as family income is rising thanks to more opportunities for working women, parents spend more on their children, and they prefer brand products that make their children look special. In addition, the market is suffering from hard competition as large enterprises have joined the race. The present study purposed to survey the children's apparel market in Korea, which is in a transitional period, and to contribute to the development of the market with Korean brands. For this purpose, we analyzed the characteristics of children's apparel brands in the 21st century based on the current state of the domestic children's apparel market and, based on the findings, forecasted the future trend of children's apparel brands, suggested improvements for expected problems, proposed standards for coping with changes such as diversification, high quality and differentiation in the children's apparel market, and provided consumers with information on how to purchase products. According to the result of analyzing the characteristics of children's apparel brands in the 21st century, brands are categorized largely into four types - life cultural brands, functional product brands, character brands and brands advancing to China. Life cultural brands equipped with all necessities for children are expanding, and with the deepening social problems of environmental pollution and the reduction of the child population, functional products made of environment-friendly materials are spreading widely, targeting infants and children. Furthermore, for extending age targets and diversifying products, children's apparel is using characters. The use of characters is expected to have a considerable effect on the growth of brands because children are more subjective as consumers than before and they are more easily persuaded with characters. Domestic children's apparel brands advancing to China have a high expectation of success in overcoming the limitation of the local market that has reached its peak and growing into global brands. Korean apparel makers are struggling to overcome the depressed domestic market, to recover consumers' consumption, to cope with market opening, to pursue high value of sensibility and to expand the seniors' market, etc. In this situation, future trends of children's apparel brands will be the expansion of family brands, brand totalization, quality price, niche market (pre-teen market), etc. In response to these trends, we made the following suggestions for improvement. 1. Children's apparel brands are evolving into family brands as well as into total brands through voluming. Today, however, apparel makers are advancing to the children's apparel market with the concept of adults' apparel and, as a result, children's apparel is merely adults' apparel of reduced size, having problems in design, color and materials. Thus, apparel makers must develop design considering the wide range of size and the characteristics of children's apparel, strengthen sourcing abilities to create revenues, and make thorough survey of customers to find common denominators between adults' apparel and children's apparel considering that characteristic that the target class is different from the buyer class. Furthermore, they must make active investments in human resources, develop outstanding products through advanced planning and design, and support marketing techniques and management systems to stores. 2. As the declining birth rate will continue to have a negative effect on the market, it may be difficult to expand the market size but there is still a margin for growth through high-sensibility and high-quality products. The competitiveness of brands is determined by their market shares. Accordingly, concepts should be specialized according to lifestyle, customers' diverse needs should be satisfied, and cross-coordination should be achieved within a brand. 3. Considering Korean parents who do not spare investment in their children despite shrinking consumption, functional products must be high value-added goods that can enhance efficiency. However, in the current situation of the infants' apparel industry where a textile manufacturer supply its products to multiple brands, it is difficult to develop unique products only based on materials. Thus, it is considered urgent to appeal to consumers not by relying on materials only but by finding methods of applying their own characters to children's dress.

A Study on People Counting in Public Metro Service using Hybrid CNN-LSTM Algorithm (Hybrid CNN-LSTM 알고리즘을 활용한 도시철도 내 피플 카운팅 연구)

  • Choi, Ji-Hye;Kim, Min-Seung;Lee, Chan-Ho;Choi, Jung-Hwan;Lee, Jeong-Hee;Sung, Tae-Eung
    • Journal of Intelligence and Information Systems
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    • v.26 no.2
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    • pp.131-145
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    • 2020
  • In line with the trend of industrial innovation, IoT technology utilized in a variety of fields is emerging as a key element in creation of new business models and the provision of user-friendly services through the combination of big data. The accumulated data from devices with the Internet-of-Things (IoT) is being used in many ways to build a convenience-based smart system as it can provide customized intelligent systems through user environment and pattern analysis. Recently, it has been applied to innovation in the public domain and has been using it for smart city and smart transportation, such as solving traffic and crime problems using CCTV. In particular, it is necessary to comprehensively consider the easiness of securing real-time service data and the stability of security when planning underground services or establishing movement amount control information system to enhance citizens' or commuters' convenience in circumstances with the congestion of public transportation such as subways, urban railways, etc. However, previous studies that utilize image data have limitations in reducing the performance of object detection under private issue and abnormal conditions. The IoT device-based sensor data used in this study is free from private issue because it does not require identification for individuals, and can be effectively utilized to build intelligent public services for unspecified people. Especially, sensor data stored by the IoT device need not be identified to an individual, and can be effectively utilized for constructing intelligent public services for many and unspecified people as data free form private issue. We utilize the IoT-based infrared sensor devices for an intelligent pedestrian tracking system in metro service which many people use on a daily basis and temperature data measured by sensors are therein transmitted in real time. The experimental environment for collecting data detected in real time from sensors was established for the equally-spaced midpoints of 4×4 upper parts in the ceiling of subway entrances where the actual movement amount of passengers is high, and it measured the temperature change for objects entering and leaving the detection spots. The measured data have gone through a preprocessing in which the reference values for 16 different areas are set and the difference values between the temperatures in 16 distinct areas and their reference values per unit of time are calculated. This corresponds to the methodology that maximizes movement within the detection area. In addition, the size of the data was increased by 10 times in order to more sensitively reflect the difference in temperature by area. For example, if the temperature data collected from the sensor at a given time were 28.5℃, the data analysis was conducted by changing the value to 285. As above, the data collected from sensors have the characteristics of time series data and image data with 4×4 resolution. Reflecting the characteristics of the measured, preprocessed data, we finally propose a hybrid algorithm that combines CNN in superior performance for image classification and LSTM, especially suitable for analyzing time series data, as referred to CNN-LSTM (Convolutional Neural Network-Long Short Term Memory). In the study, the CNN-LSTM algorithm is used to predict the number of passing persons in one of 4×4 detection areas. We verified the validation of the proposed model by taking performance comparison with other artificial intelligence algorithms such as Multi-Layer Perceptron (MLP), Long Short Term Memory (LSTM) and RNN-LSTM (Recurrent Neural Network-Long Short Term Memory). As a result of the experiment, proposed CNN-LSTM hybrid model compared to MLP, LSTM and RNN-LSTM has the best predictive performance. By utilizing the proposed devices and models, it is expected various metro services will be provided with no illegal issue about the personal information such as real-time monitoring of public transport facilities and emergency situation response services on the basis of congestion. However, the data have been collected by selecting one side of the entrances as the subject of analysis, and the data collected for a short period of time have been applied to the prediction. There exists the limitation that the verification of application in other environments needs to be carried out. In the future, it is expected that more reliability will be provided for the proposed model if experimental data is sufficiently collected in various environments or if learning data is further configured by measuring data in other sensors.