Published papers

Energy performance of residential and non-residential buildings is a vital topic because of fast urbanization in the world. The accommodation buildings are considered as high energy intensive comparing to other commercial building' categories. In addition, it has an important contribution in tourism industry. Therefore, variety of models and plans have been applied to reduce the energy consumption of accommodation buildings. This research depends on database of energy consumption of commercial buildings in Japan as main source of data. Data-base for Energy Consumption of Commercial building (DECC) is a national survey, it is disclosed by Japan Sustainable Building Consortium (JSBC). Base on DECC, a benchmark system is developed by applying regression and Artificial Neural Network (ANN) methods to assess the energy performance of accommodation building in Kanto region-Japan. The study investigate the primary energy model of selected samples according to consumption' trends of electricity, gas and clean water. The developed benchmarks by ANN and regression models were compared to ensure a robust benchmark system as a powerful tool for energy performance' assessment. This study points out the necessity to benchmark the energy performance of accommodation buildings and other categories in Japan. In addition, it is important to consider other variables that affect energy use of buildings.

本研究は創造的な都市計画のためのGIS・CAD・知識ベース統合システムを構築しそのうちの重要なパーツである環境評価システムを開発した。様々な主観的・客観的な知識は認知工学手法を用いてモデル化し、知識ベースで管理・利用する。数学的統合モデルやファジィ的推論方法が評価システムにおいて有機的に融合された。

A conceptual model for quality assurance of species occurrence observations in citizen science projects is described below. We adopted the notion of trust as an indicator of VGI quality and define the concept of trustworthiness of a VGI record as a function of three main contexts: consistency with habitat, consistency with neighbors, and the reputation of the volunteer. Using fuzzy control system the quality of an observation is quantified in terms of the level of the trustworthiness of the volunteered species observation. The architecture of the proposed system is briefly described and some results presented. Finally, our paper ends with concluding remarks and some thoughts for future research directions.

The objective of this paper is to develop a knowledge-based computer system for zoning in land use planning. It discusses how to acquire knowledge from experts and how to utilize this information efficiently. IF-THEN production rules can be derived from the "knowledge structure digraph map," which is obtained by structuring the conscious expertise of planning professionals. A new model concerning the combination of these rules, based on fuzzy inference, is developed in order to simulate human inference more appropriately. A practical application of the system is given and its applicability is discussed. © 1991.

© 2017 IEEE. This research presents an automatic method to detect and evaluate the shoreline changes from Landsat satellite images. In fact, a method, that we called Lukas-Kanade Adapted for Coastal Changes (LKA2C), has been developed to calculate and detect the changes around the study region. Mainly the proposed method is based on SURF algorithm to detect the study region from the satellite image. Then, Canny edge detector was used on NDWI images to detect the shorelines. Finally, the pyramidal Lukas-Kanade optical flow algorithm was adapted to detect and to calculate the rates of changes. Realized experiments on real satellite images of the island of Djerba in Tunisia proved the effectiveness of the proposed method.

© 2019, Springer Nature Switzerland AG. Differences in the political systems and the economic conditions of each country in the northeast region indeed lead to diversity in terms of climate change vulnerabilities. These differences cast strong shadows on the types and scale of adaptation plans and measures started in the region. Keeping context specificity in mind, this chapter summarizes the perspective of climate change impacts, vulnerabilities of key sectors and society, and status of adaptation measures including development of national adaptation strategy and action plans in China, Japan, Korea, and Mongolia. Further it compares commonalities and gaps amongst the countries. Apart from a separate introduction for each nation, it also gives a comprehensive discussion focusing on the eight indicators described in the framework chapter. This chapter presents a comprehensive picture of the latest adaptation measures in four countries which will deepen understanding on current adaptation efforts and gaps for enhancing adaptation actions in each country.

© 2018 Croatian Society MIPRO. Nowadays the Internet of Things (IoT) is one of the most promising application areas in information technology for future products and services. Therefore, it is not surprising that new technologies arise, which are marketed as 'the most useful technology' for applications in IoT devices. In this study, we focus on the new communication technology called LoRaWAN. Our aim is to evaluate the usefulness of LoRaWAN technology in the field of IoT, and especially in sensor network solutions. The research methodology is a literature survey and primary articles were selected by means of a systematic literature review. More than fifty suitable research papers were identified. From these, the following research questions were formulated: 'How to categorize LoRa research papers?' and 'What are the application trends in LoRa?' This study presents a way to categorize research papers with diverse themes. In addition, this survey reveals the most recent trends in research and practical applications of LoRa. Finally, this study will give recommendations for researchers and practitioners on how the advantages of LoRa-based technologies could be fully exploited in the

This paper aims to investigate the spatial distribution and the factors of the farmland diversion for parking field or dump-site using GIS and statistical analysis. The results are described as follows: 1) These type of farmland diversion has increased since 2000 in the urbanization control area in the suburb. 2) It is shown that there are different types of special distribution between the farmland diversion and the cultivation abandonment. 3) This phenomenon is caused by agricultural and urbanized factors especially intensive horticulture.

This study aims to extract the land cover changes and the development of desertification in Kerqin Sandland, Inner Mongolia of China with temporal satellite images. The landscape of Kerqin sandland is characterized with bright dunes, moist lower land and green grassland and forest. This structure well matches with the brightness, wetness and greenness of the Tasseled Cap Transformation of TM data. With this spectral transformation, we classified the land covers and evaluated the development of desertification with Landsat TM images from 1994 to 2000. This algorithm avoided the impact of different soil moisture between images and found that the desertified land in our study area in 2000 has doubled since 1994 while the restored forest and grassland only increased 50 percent.

中国政府は21世紀の初頭に西部大開発戦略を打ち出し、西部地区に新たな発展のチャンスをもたらした。しかし、地理的および社会的条件の制約が大きいため、西部開発は東部沿海地域と同じ方法ではうまくいかない。一方、自然資本の概念や京都議定書が提唱したクリーン開発メカニズム（CDM）は我々に新しい考え方と仕組みを提供してくれた。これをもとにして世界各地において自然資本の評価や市場メカニズムの構築が研究・実践されている。本稿は自然資本の概念と国連ミレニアムアセスメント（MA）が提唱したエコシステムアセスメントの方法をチンハイ・チベット高原に適用するフレームワークを提示したものである。それは(１)高原地域のエコシステムの調査、(２)高原のエコシステムサービスの評価、(３)エコシステムサービスを持続可能にする地域政策の設計、及び(４)自然資本の市場メカニズムの構築、という４つの部分から構成されている。そのフレームワークを実施することにより、中国の西部と東部の間、そして中国と世界との間において、生態環境の改善につとめる人とそのサービスを受ける人が市場によって一体化されることになり、環境保全と経済発展と人間福祉という多数の目標を協調して達成させることが可能となる。

This study attempts to map the spatial structure of regional ecosystems and to value the ecosystem services for environmental governance with a community-based GIS tool called CITYgreen. We practiced a multi-scale approach to map a wide region with satellite images for regional ecomap, geographic datasets for district ecomap and field survey for community ecomap. These three ecomaps have different ecotope categories and could be used for urban and regional planning, environmental design and local environmental conservation activities. Regardless of the scales, the ecomaps provide three functions: inventorying elements of ecosystems, analyzing the spatial structures of ecosystems and valuing ecosystem services such as the fixation and sequestration of carbon dioxide and filtration of atmospheric pollutants etc. Yokohama City, Tsuzuki Ward, a residential quarter have been selected as study areas at the three scales respectively. The experimental ecomaps show that this is an effective method to grasp the complex of regional ecosystems spatially and the tool is applicable to calculate ecosystem services for public participated regional environment improvement.

The thermal characteristics of Tokyo Metropolitan Area and Yokohama City were analyzed using the Landsat TM images to clarify the features of the urban heat island (UHI) phenomenon. Since high correlation between remotely observed brightness temperature and ground air temperature had verified under the definite conditions, spatial and field-data of brightness temperature obtained from the Landsat TM thermal images was used in this study. It was clarified that the temperature of the forests, parks, and the other green spaces in the southern Tokyo Metropolitan Area is lower than the average temperature in the region. As a result, these green spaces could contribute to ease UHI phenomenon in the Area. Ｉｎ the contrast, the temperature of these green spaces exceeds the average temperature in Northern Yokohama City, resulting in acceleration of UHI. More detailed analysis demonstrated the heat point sources as well as cool point sources within the both areas.