地震災害に対する日本と中国の観光産業での備え

京都大学0048新制・課程博士博士(情報学)甲第19115号情博第561号新制||情||99(附属図書館)32066京都大学大学院情報学研究科社会情報学専攻(主査)教授 林 春男, 教授 田中 克己, 教授 喜多 一学位規則第4条第1項該当Doctor of InformaticsKyoto UniversityDFA

DTC: A Dynamic Transaction Chopping Technique for Geo-Replicated Storage Services

Replicating data across geo-distributed datacenters is usually necessary for large scale cloud services to achieve high locality, durability and availability. One of the major challenges in such geo-replicated data services lies in consistency maintenance, which usually suffers from long latency due to costly coordination across datacenters. Among others, transaction chopping is an effective and efficient approach to address this challenge. However, existing chopping is conducted statically during programming, which is stubborn and complex for developers. In this article, we propose Dynamic Transaction Chopping (DTC), a novel technique that does transaction chopping and determines piecewise execution in a dynamic and automatic way. DTC mainly consists of two parts: a dynamic chopper to dynamically divide transactions into pieces according to the data partition scheme, and a conflict detection algorithm to check the safety of the dynamic chopping. Compared with existing techniques, DTC has several advantages: transparency to programmers, flexibility in conflict analysis, high degree of piecewise execution, and adaptability to data partition schemes. A prototype of DTC is implemented to verify the correctness of DTC and evaluate its performance. The experiment results show that our DTC technique can achieve much better performance than similar work

Business Plan-XiaoMiShu

XiaoMiShu is an app which will be dedicated to help all international Chinese students to live better in a foreign country. Automatic intelligent information recommendation based on international Chinese students will save their time. Rightful partner matching will help them find the partner who has the same interests and preferences. Online second-hand goods selling platform will not only help students sell their goods, but also help accommodation agents save resources to reduce tons of general waste when students leave. On the other hand, it will also become a platform for British SMEs to connect with their customers and promote their products or service. We are the first mover to the market, which will help us take over the market and build our public image & deliver our value. Meanwhile, value co-creation chain within Chinese SMEs and international Chinese students will provide much leverage for our app. All our activities will be driven by the data and we will embrace big data and use it to target our customers accurately. Our company has three main revenue streams, such as activities organizing, advertisement and membership fee. Activities organizing will not only generate the main profit for our company, but also play an important role in promoting our products and service & deliver our brand value to our end users. Advertisement will help British SMEs promote their products and service and maintain customer relationship. Advertisement and membership fee will become the main revenue stream in 2023-2024. Our company’s net income will turn to positive in the 2021 and investors will gain their payback around 4.5 years. Our profitability index is 1.93, which will be attractive to many investors. In 2024, we will reach over 40,000 users and have around 11,000 members in our app. Meanwhile, we will have over 207 SMEs to pay for our advertisement premium service in Nottingham, Liverpool and Manchester. Additionally, we believe our app will help overseas Chinese students sell over 80% second-hand goods, which can reduce environmental pollution and accommodation agent’s resources

2,4-Di-tert-butyl-6-[1-(3,5-di-tert-butyl-2-hydroxy­phen­yl)eth­yl]phenyl 4-methyl­benzene­sulfonate

The title compound, C37H52O4S, was obtained by the reaction of 6,6′-(ethane-1,1-di­yl)bis­(2,4-di-tert-butyl­phenol) and 4-methyl­benzene-1-sulfonyl chloride. The mol­ecular conformation is stabilized by an intra­molecular O—H⋯O hydrogen bond. Two of the tert-butyl groups are disordered over two sets of sites with occupancies 0.530 (15)/0.470 (15) and 0.615 (11)/0.385 (11)

A Multiobjective Robust Scheduling Optimization Mode for Multienergy Hybrid System Integrated by Wind Power, Solar Photovoltaic Power, and Pumped Storage Power

Wind power plant (WPP), photovoltaic generators (PV), cell-gas turbine (CGT), and pumped storage power station (PHSP) are integrated into multienergy hybrid system (MEHS). Firstly, this paper presents MEHS structure and constructs a scheduling model with the objective functions of maximum economic benefit and minimum power output fluctuation. Secondly, in order to relieve the uncertainty influence of WPP and PV on system, robust stochastic theory is introduced to describe uncertainty and propose a multiobjective stochastic scheduling optimization mode by transforming constraint conditions with uncertain variables. Finally, a 9.6 MW WPP, a 6.5 MW PV, three CGT units, and an upper reservoir with 10 MW·h equivalent capacity are chosen as simulation system. The results show MEHS system can achieve the best operation result by using the multienergy hybrid generation characteristic. PHSP could shave peak and fill valley of load curve by optimizing pumping storage and inflowing generating behaviors based on the load supply and demand status and the available power of WPP and PV. Robust coefficients can relieve the uncertainty of WPP and PV and provide flexible scheduling decision tools for decision-makers with different risk attitudes by setting different robust coefficients, which could maximize economic benefits and minimize operation risks at the same time

(E)-N-[2-(3,5-Di-tert-butyl-2-hydroxy­benzyl­ideneamino)cyclo­hexyl]-4-methyl­benzene­sulfonamide

In the crystal structure of the title compound, C28H40N2O3S, there are two mol­ecules per asymmetric unit; in each of these mol­ecules, the cyclo­hexyl rings adopt chair conformations. The dihedral angles between the benzene rings are 16.89 (9) and 34.11 (9)°. Each mol­ecule contains an intra­molecular O—H⋯N hydrogen bond, and inter­molecular N—H⋯O hydrogen bonds are also present. In both mol­ecules, the methyl groups of one tert-butyl group are disordered over two positions; the site-occupancy factors in both cases are ca 0.6 and 0.4

Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation

Cloud-based design manufacturing (CBDM) refers to a service-oriented networked product development model in which service consumers are enabled to configure, select, and utilize customized product realization resources and services ranging from computer-aided engineering software to reconfigurable manufacturing systems. An ongoing debate on CBDM in the research community revolves around several aspects such as definitions, key characteristics, computing architectures, communication and collaboration processes, crowdsourcing processes, information and communication infrastructure, programming models, data storage, and new business models pertaining to CBDM. One question, in particular, has often been raised: is cloud-based design and manufacturing actually a new paradigm, or is it just ‘‘old wine in new bottles’’? To answer this question, we discuss and compare the existing definitions for CBDM, identify the essential characteristics of CBDM, define a systematic requirements checklist that an idealized CBDM system should satisfy, and compare CBDM to other relevant but more traditional collaborative design and distributed manufacturing systems such as web- and agent-based design and manufacturing systems. To justify the conclusion that CBDM can be considered as a new paradigm that is anticipated to drive digital manufacturing and design innovation, we present the developmentof a smart delivery drone as an idealized CBDM example scenario and propose a corresponding CBDM system architecture that incorporates CBDM-based design processes, integrated manufacturing services, information and supply chain management in a holistic sense