5916 research outputs found
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Disaster relief inventory simulation: Managing resources in humanitarian camps
No full textNatural disasters and conflicts often result in humanitarian crises, necessitating effective inventory management to meet the needs of displaced populations. This paper introduces a sophisticated simulation model tailored for disaster relief scenarios. By integrating real-world dynamics and constraints, such as perishability of goods, budget constraints, and uncertain demand, the model offers a robust framework for decision-makers in humanitarian organizations addressing post-disaster inventory management challenges. The simulation tool is open source, promoting widespread adoption and adaptation, thereby enriching the humanitarian logistics toolbox. Computational experiments are conducted to validate the simulation engine and provide valuable insights.TÜBİTA
An internalization perspective on subsidiaries’ reputation and its impact on subsidiaries’ marketing advantage: The moderating roles of resources and autonomy
No full textInternalization theory of Multinational Enterprises (MNEs) provides a paradigm in the international business field. Contemporary discussions consider MNEs as differentiated network with self-initiated subsidiaries. However, while moving away from pure hierarchy, internalization theory has not fully particularized the coordinating mechanism across MNEs' networked subsidiaries. Accordingly, we propose a novel role of subsidiaries' reputation within their MNEs. Based on primary data from subsidiaries' perspective, our findings are threefold. First, we demonstrate that a subsidiary's reputation within the MNE is a critical driver for subsidiary-specific advantages. Second, we examine how subsidiaries' strategic actions can send signals to their headquarters and sister subsidiaries to build its reputation. Finally, along with the reputation-building process, we reveal the contingencies of subsidiaries' autonomy and resources within the MNE. Our results show that internalization enables a differentiated network mechanism constituted by reputation, autonomy control, and resource allocation across MNEs' networked subsidiaries.TÜBİTAKPublisher versio
Design and implementation of a low-latency origin and relay for media-over-quic transport
No full textThe Media-over-QUIC Transport (MOQT) is an emerging application-layer protocol designed for low-latency media ingestion and distribution. It is applicable in both browser scenarios (i.e., HTTP/3WebTransport) and non-browser settings (i.e., raw QUIC) and geared towards diverse applications, including live streaming, cloud gaming, remote desktop, video conferencing and eSports. One of the primary goals of MOQT is to allow implementers to develop a highly scalable low-latency media delivery solution. This research delves into exploring the design and implementation of a Media-over-QUIC origin and relay
Dual-channel visible light communication system for enhanced V2V video streaming
No full textVisible light communication (VLC) operates on the principle of modulating light-emitting diodes (LEDs) for data transmission at frequencies imperceptible to the human eye. In vehicular communication, VLC leverages existing vehicle lighting infrastructure, such as headlights and taillights, to transmit data. This enables the sharing of real-time video feeds from onboard vehicle cameras with other vehicles, allowing drivers to see beyond the immediate traffic ahead. In this paper, we present an experimental study that demonstrates vehicle-to-vehicle (V2V) video streaming by using both headlights as wireless transmitters. This approach reduces the likelihood of signal degradation or interruptions caused by obstacles, movement, or changing road conditions. By leveraging multiple light sources, the system ensures a more stable and consistent data flow, improving overall performance and robustness in dynamic vehicular environments. Our experimental setup utilizes modified software-defined radio platforms for baseband processing and a custom-designed frontend featuring truck low-beam LED headlights. A real-time video streaming demonstration is conducted with our prototype to validate the feasibility of dual-channel VLC for vehicular connectivity using both headlights
Multi-objective path planning for multi-UAV connectivity and area coverage
No full textIn this paper, we assume that a team of drones equipped with sensing and networking capabilities explore an unknown area via onboard sensors for surveillance, monitoring, target search or data collection purposes and deliver the sensed data to a ground control station (GCS) over multi -hop links. We propose a multidrone path planner that jointly optimizes area coverage time and connectivity among the drones. We propose a novel connectivity metric that includes not only percentage connectivity of the drones to GCS, but also the maximum duration of consecutive time that the drones are disconnected from the GCS. To solve this optimization formulation, we propose a multi -objective evolutionary algorithm with novel operations. We use our solver to test single, two and many objective path planning problems and compare our Pareto-optimal solutions to benchmark weighted -sum based solutions. We show that as opposed to the single solution that weighted -sum methods provide based on prior information from the user, the proposed evolutionary multiobjective optimizers can provide a diverse set of solutions that cover a range of mission time and connectivity performance illustrating the trade-off between these conflicting objectives. The end -user can then choose the best path solution based on the mission priorities during operation.TÜBİTA
Two-particle Bose-Einstein correlations and their Lévy parameters in PbPb collisions at √sNN=5.02 TeV
No full textTwo-particle Bose-Einstein momentum correlation functions are studied for charged-hadron pairs in lead-lead collisions at a center-of-mass energy per nucleon pair of Formula Presented. The data sample, containing Formula Presented minimum bias events corresponding to an integrated luminosity of 0.607 Formula Presented, was collected by the CMS experiment in 2018. The experimental results are discussed in terms of a Lévy-type source distribution. The parameters of this distribution are extracted as functions of particle pair average transverse mass and collision centrality. These parameters include the Lévy index or shape parameter Formula Presented, the Lévy scale parameter Formula Presented, and the correlation strength parameter Formula Presented. The source shape, characterized by Formula Presented, is found to be neither Cauchy nor Gaussian, implying the need for a full Lévy analysis. Similarly to what was previously found for systems characterized by Gaussian source radii, a hydrodynamical scaling is observed for the Lévy Formula Presented parameter. The Formula Presented parameter is studied in terms of the core-halo model.BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER, ERC PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP- FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES and NSC (Poland); FCT (Portugal); MESTD (Serbia); MCIN/AEI and PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI and NSTDA (Thailand); TUBITAK and TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA). Individuals have received support from the Marie -Curie program and the European Research Council and Horizon 2020 Grant, Contracts No. 675440, No. 724704, No. 752730, No. 758316, No. 765710, No. 824093, and No. 884104, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F. R.S.-FNRS and FWO (Belgium) under the "Excellence of Science-EOS"-be.h Project No. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Hellenic Foundation for Research and Innovation (HFRI), Project No. 2288 (Greece); the Deutsche Forschungsgemein- schaft (DFG), under Germany's Excellence Strategy-EXC 2121 "Quantum Universe"-390833306, and under Project No. 400140256 - GRK2497; the Hungarian Academy of Sciences, the New National Excellence Program - & Uacute;NKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020 -2.2.1 -ED -2021-00181, and TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; the Latvian Council of Science; the Ministry of Education and Science, Project no. 2022/WK/14, and the National Science Center, con- tracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland); the Fundacao para a Ciencia e a Tecnologia, Grant No. CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; MCIN/AEI/10. 13039/501100011033, ERDF "a way of making Europe," and the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, Grant No. MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into its second Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, Grant No. B05F650021 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, Contract No. C-1845; and the Weston Havens Foundation (USA).r under the "Excellence of Science-EOS"-be.h Project No. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Ed-ucation, Youth and Sports (MEYS) of the Czech Republic; the Hellenic Foundation for Research and Innovation (HFRI) , Project No. 2288 (Greece) ; the Deutsche Forschungsgemein-schaft (DFG) , under Germany's Excellence Strategy-EXC 2121 "Quantum Universe"-390833306, and under Project No. 400140256-GRK2497; the Hungarian Academy of Sciences, the New National Excellence Program-& Uacute;NKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64 (Hungary) ; the Council of Sci-ence and Industrial Research, India; the Latvian Council of Science; the Ministry of Education and Science, Project no. 2022/WK/14, and the National Science Center, con-tracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland) ; the Fundacao para a Ciencia e a Tecnologia, Grant No. CEECIND/01334/2018 (Portugal) ; the National Priori-ties Research Program by Qatar National Research Fund; MCIN/AEI/10.13039/501100011033, ERDF "a way of mak-ing Europe," and the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, Grant No. MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain) ; the Chulalongkorn Academic into its second Century Project Advancement Project, and the National Science, Research and Innova-tion Fund via the Program Management Unit for Human Resources & Institutional Development, Research and In-novation, Grant No. B05F650021 (Thailand) ; the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corpo-ration; the Welch Foundation, Contract No. C-1845; and the Weston Havens Foundation (USA) .Publisher versio
Towards interactive explanation-based nutrition virtual coaching systems
No full textThe awareness about healthy lifestyles is increasing, opening to personalized intelligent health coaching applications. A demand for more than mere suggestions and mechanistic interactions has driven attention to nutrition virtual coaching systems (NVC) as a bridge between human–machine interaction and recommender, informative, persuasive, and argumentation systems. NVC can rely on data-driven opaque mechanisms. Therefore, it is crucial to enable NVC to explain their doing (i.e., engaging the user in discussions (via arguments) about dietary solutions/alternatives). By doing so, transparency, user acceptance, and engagement are expected to be boosted. This study focuses on NVC agents generating personalized food recommendations based on user-specific factors such as allergies, eating habits, lifestyles, and ingredient preferences. In particular, we propose a user-agent negotiation process entailing run-time feedback mechanisms to react to both recommendations and related explanations. Lastly, the study presents the findings obtained by the experiments conducted with multi-background participants to evaluate the acceptability and effectiveness of the proposed system. The results indicate that most participants value the opportunity to provide feedback and receive explanations for recommendations. Additionally, the users are fond of receiving information tailored to their needs. Furthermore, our interactive recommendation system performed better than the corresponding traditional recommendation system in terms of effectiveness regarding the number of agreements and rounds.University of Applied Sciences and Arts Western Switzerland (HES-SO) ; CHIST-ERAgrant ; Swiss National Science Foundation (SNSF) ; Ministry of Education, Universities and Research (MIUR) ; Luxembourg National Research Fund ; TÜBİTAKPublisher versio
Türk hukuk sisteminde hatır senetleri
No full textHatır senetleri bedelsiz senetlerin bir alt başlığına karşılık gelmektedir. Her bedelsiz senet hatır senedi olarak nitelenemez. Fakat bütün hatır senetleri bedelsiz niteliktedir. Hatır senetleri tedavül gayelerinin bulunup bulunmamasına göre temelde iki amaç uğruna düzenlenmektedirler. Tedavül gayeli hatır senetleri sayesinde hatır alacaklısına bir nevi kredi temin edilmesi amaçlanmaktadır. Tedavül gayesi bulunmayan hatır senetlerinde ise tarafların amacı yalnızca hatır alacaklısının mali durumunun olduğundan çok daha iyi gözükmesini gerçekleştirmektir. Gerek bedelsiz senetler genelinde gerekse hatır senetleri özelinde mevzuatımızda herhangi bir yasal düzenleme bulunmadığından, çalışmamız konusu hakkında Yargıtay kararları oldukça belirleyici niteliktedir.Accommodation bills correspond to a subheading of bonus bills. Not every gratuitous bill is an accommodation bill, however all accommodation bills possess the attribute of absence of consideration. Accommodation bills are primarily issued for two purposes, depending on the presence or absence of their negotiability. Negotiable accommodation bills serve as a kind of credit provision to the drawer. On the other hand, in non-negotiable accommodation bills, the sole purpose of the parties is to enhance the financial status of the beneficiary, making it appear much better than it is. Since there is no legal regulation regarding both gratuitous bill in general and accommodation bills specifically in our legislation, the decisions of supreme court are highly determinative on the subject matter
Afet bölgelerinde güvenilir iletişim için drone yerleşimini optimize etme.
No full textThis thesis proposes a solution approach to manage the heating plans of tenants served by a district heating plant located in Sweden to decrease the carbon footprint of the residents. To do that, the daily temperature request of each household in the associated pilot region is obtained, and the daily temperature profile of each household is optimized with the help of a decision support system and smart valves. The hot water inflow rates of radiators are remotely controlled via smart valves at each flat to minimize the total energy consumption, carbon emission and cost associated with the energy consumption of the district heating plant. We aim to shave the peak demands while fully satisfying the temperature requests of households without violating their thermal comfort. Peak demand shaving is achieved by generating preheating schedules via mathematical optimization and using the thermal storage potential of the insulated flats. The resulting mathematical optimization model presents significant computational challenges that cannot be efficiently solved using optimization solvers within a reasonable time limit. To this end, we adapt three genetic algorithm approaches that are computationally scalable for realistically-sized instances and verified to yield near-optimal solutions for the test instances. Extensive numerical analyses how the effectiveness of the proposed approach and the genetic algorithm since we yield significant carbon emission decrease and cost savings compared with the method that the experts of the utility company propose.Bu tez dahilinde İsveç'te yer alan bir merkezi ısıtma sisteminin kullanıcılarının ısıtma planlarını kontrol ederek karbon ayakizini azaltacak bir çözüm sunulmaktadır. Yöntemin geliştirilmesi sırasında kullanılmak üzere pilot bölgedeki dairelerin gün içindeki sıcaklık talepleri elde edilmiş ve geliştirilen karar destek sisteminin akıllı vanalarla etkileşimi kullanılarak günlük sıcaklık profili eniyilenmiştir. Sıcak su içe akış oranı; merkezi ısıtma tesisinin toplam enerji tüketimi, karbon emisyonu ve enerji tüketimine bağlı gideri azaltmak amacıyla her daire için akıllı vanalar vasıtasıyla uzaktan kontrol edilmektedir. Belirlenen yaklaşımda, merkezi sistem kullanıcılarının termal konforlarını bozmadan ve termal taleplerini sağlayarak tepe sıcaklık talebi tıraşlaması hedeflenmektedir. Tepe talep tıraşlaması matematiksel eniyileme yöntemleri kullanılarak ve ısı yalıtımıyla desteklenmiş dairelerde ön ısıtma takvimleri oluşturularak sağlanmaktadır. Sunulan matematiksel eniyileme modeli, eniyileme çözücüleri tarafından kabul edilebilir sürelerde verimli çözüm üretilememesine sebep olacak kadar yüksek hesap zorlukları içermektedir. Bu problemi aşmak için, gerçek hayat örneklerinde hesaplamalı olarak ölçeklenebilir ve optimuma yakın çözümler üreten 3 genetik algoritma yaklaşımı geliştirilmiştir. Sayısal analizler uygulanan yaklaşımların ve sunulan genetik algoritma adımlarının etkisi, sistemdeki karbon emisyonu ve enerji tüketimi giderlerinin, şirket tarafından geliştirilen uzman yöntemiyle karşılaştırılması sonucunda gözlemlenebilmektedir