Relevant bibliographies by topics / Decisive features of devices

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Decisive features of devices'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Decisive features of devices"

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Abbott, Mary Ann, and Debby McBride. "AAC Decision-Making and Mobile Technology: Points to Ponder." Perspectives on Augmentative and Alternative Communication 23, no. 2 (April 2014): 104–11. http://dx.doi.org/10.1044/aac23.2.104.

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The purpose of this article is to outline a decision-making process and highlight which portions of the augmentative and alternative communication (AAC) evaluation process deserve special attention when deciding which features are required for a communication system in order to provide optimal benefit for the user. The clinician then will be able to use a feature-match approach as part of the decision-making process to determine whether mobile technology or a dedicated device is the best choice for communication. The term mobile technology will be used to describe off-the-shelf, commercially available, tablet-style devices like an iPhone®, iPod Touch®, iPad®, and Android® or Windows® tablet.
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Ulman, Kanchan, Mighfar Imam, Shobhana Narasimhan, Anders Odell, and Anna Delin. "Theoretical Study of Spin Conduction in the Ni/DTE/Ni Nanohybrid." Nano Hybrids 4 (May 2013): 1–20. http://dx.doi.org/10.4028/www.scientific.net/nh.4.1.

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The photoswitching molecule dithienylethene (DTE) is an interesting candidate for constructing optoelectronic molecular devices since it can be made to switch between a closed and an open conformation using light. We here report computations, based on density functional theory (DFT) and the non-equilibrium Green function (NEGF) method, of the spin-resolved conductance of the two DTE isomers attached to spin-polarized nickel leads. Results are compared and contrasted to those of other contact materials (nonmagnetic Ni, Ag, and Au), analyzing the physical origins of the various features in the transmission function. It was found rather surprisingly, that the two spin channels in the Ni/DTE/Ni device have almost identical I-V characteristics, despite one channel being d-dominated and the other one s-dominated. It was also observed that the Ni-based device exhibits a sustained high conductance ratio also for high bias - a property that may be of relevance in future device design. Furthermore, two computational schemes for calculating the conductance were compared and analyzed. It was found that even for very small bias the molecular orbital polarization was decisive for spin-related properties such as the spin current ratio and magneto-resistance in the Ni/DTE/Ni device.
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Stenina, Irina A., and Andrey B. Yaroslavtsev. "Ionic Mobility in Ion-Exchange Membranes." Membranes 11, no. 3 (March 11, 2021): 198. http://dx.doi.org/10.3390/membranes11030198.

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Membrane technologies are widely demanded in a number of modern industries. Ion-exchange membranes are one of the most widespread and demanded types of membranes. Their main task is the selective transfer of certain ions and prevention of transfer of other ions or molecules, and the most important characteristics are ionic conductivity and selectivity of transfer processes. Both parameters are determined by ionic and molecular mobility in membranes. To study this mobility, the main techniques used are nuclear magnetic resonance and impedance spectroscopy. In this comprehensive review, mechanisms of transfer processes in various ion-exchange membranes, including homogeneous, heterogeneous, and hybrid ones, are discussed. Correlations of structures of ion-exchange membranes and their hydration with ion transport mechanisms are also reviewed. The features of proton transfer, which plays a decisive role in the membrane used in fuel cells and electrolyzers, are highlighted. These devices largely determine development of hydrogen energy in the modern world. The features of ion transfer in heterogeneous and hybrid membranes with inorganic nanoparticles are also discussed.
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Elmouchi, Darryl A., Nagib Chalfoun, and Andre Gauri. "Attitudes of Implanting Physicians about Cardiac Rhythm Management Devices and Their Features." ISRN Cardiology 2013 (December 26, 2013): 1–6. http://dx.doi.org/10.1155/2013/247586.

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Modern cardiac rhythm management systems have become increasingly complex. The decision on which specific system to implant in a given patient often rests with the implanting physician. We conducted a multiple-choice survey to assess the opinions and preferences of cardiologists and electrophysiologists who implant and follow cardiac rhythm management systems. Reliability and battery longevity were viewed as the most important characteristics in device selection. Patient characteristics which most affected device choice were pacing indication and life expectancy. Remote technology was used in 47% of pacemaker patients, 64% of ICD patients, and 65% of CRT-D patients, with wireless (radiofrequency) remote patient monitoring associated with higher patient compliance rates (74% versus 64%, resp.). Wireless remote patient management with alerts for atrial tachyarrhythmias was felt to be important by 76% of respondents. When choosing an MR-conditional device, physicians deemed patients with prior orthopedic problems, a history of cancer, or neurological disorders to be more likely to require a future MRI. Device longevity and reliability remain the most important factors which influence device selection. Wireless remote patient monitoring with alerts is considered increasingly important when choosing a specific cardiac rhythm management system to implant.
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Tundis, Andrea, Ali Faizan, and Max Mühlhäuser. "A Feature-Based Model for the Identification of Electrical Devices in Smart Environments." Sensors 19, no. 11 (June 8, 2019): 2611. http://dx.doi.org/10.3390/s19112611.

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Smart Homes (SHs) represent the human side of a Smart Grid (SG). Data mining and analysis of energy data of electrical devices in SHs, e.g., for the dynamic load management, is of fundamental importance for the decision-making process of energy management both from the consumer perspective by saving money and also in terms of energy redistribution and reduction of the carbon dioxide emission, by knowing how the energy demand of a building is composed in the SG. Advanced monitoring and control mechanisms are necessary to deal with the identification of appliances. In this paper, a model for their automatic identification is proposed. It is based on a set of 19 features that are extracted by analyzing energy consumption, time usage and location from a set of device profiles. Then, machine learning approaches are employed by experimenting different classifiers based on such model for the identification of appliances and, finally, an analysis on the feature importance is provided.
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Afolabi, Bosede A., and Fred M. Kusumoto. "Remote Monitoring of Patients with Implanted Cardiac Devices – A Review." European Cardiology Review 8, no. 2 (2012): 88. http://dx.doi.org/10.15420/ecr.2012.8.2.88.

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There has been a rapid growth in the number of patients with cardiovascular implantable electronic devices (CIEDs), due to the consistent good results from large randomised trials and changing worldwide demographics with progressive ageing in all developed countries. Early generations of CIEDs provided only basic operations and stored only rudimentary data, but the evolution of all types of CIEDs (pacemakers, defibrillators, cardiac resynchronisation devices, implantable monitors) has led to their increased complexity and the development of a myriad of specialised features. As an outgrowth of this increased sophistication, once implanted, CIEDs can provide significant amounts of important clinical information, allowing to identify the presence of significant arrhythmias, assess drug efficacy, evaluate heart failure status and continuously monitor device function. With the advent of new methods of remote monitoring, the information recorded by these devices can be accessible in real time and thus lead to more timely clinical decision-making. This article summarises the impact of remote monitoring on clinical practice today and how the use of remote monitoring may evolve to affect the practice of medicine in the future.
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Marques, Célio Gonçalo Cardoso, António Manso, Ana Paula Ferreira, and Felisbela Morgado. "Using Mobile Technologies in Education." International Journal of Technology and Human Interaction 13, no. 4 (October 2017): 77–90. http://dx.doi.org/10.4018/ijthi.2017100106.

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The acquisition of reading skills is decisive for the academic achievement of students. However, learning to read is a complex process. With this in mind, several attempts have been made to find new educational approaches to enhance students' reading motivation. Considering the enormous potential of ICT for education and training, we have developed a digital repository of teaching and learning materials and a multiplatform application that runs on mobile devices: Letrinhas. This information system was designed to promote the development of reading and to provide tools for monitoring and assessing reading skills against the curricular targets set by the Ministry of Education. Letrinhas was evaluated by specialists and users and a high level of satisfaction was observed among students and teachers as time and effort spent to consolidate reading is considerably reduced with this application. This evaluation also enabled to identify features that will be available in the future.
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Rawindaran, Nisha, Ambikesh Jayal, Edmond Prakash, and Chaminda Hewage. "Cost Benefits of Using Machine Learning Features in NIDS for Cyber Security in UK Small Medium Enterprises (SME)." Future Internet 13, no. 8 (July 21, 2021): 186. http://dx.doi.org/10.3390/fi13080186.

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Cyber security has made an impact and has challenged Small and Medium Enterprises (SMEs) in their approaches towards how they protect and secure data. With an increase in more wired and wireless connections and devices on SME networks, unpredictable malicious activities and interruptions have risen. Finding the harmony between the advancement of technology and costs has always been a balancing act particularly in convincing the finance directors of these SMEs to invest in capital towards their IT infrastructure. This paper looks at various devices that currently are in the market to detect intrusions and look at how these devices handle prevention strategies for SMEs in their working environment both at home and in the office, in terms of their credibility in handling zero-day attacks against the costs of achieving so. The experiment was set up during the 2020 pandemic referred to as COVID-19 when the world experienced an unprecedented event of large scale. The operational working environment of SMEs reflected the context when the UK went into lockdown. Pre-pandemic would have seen this experiment take full control within an operational office environment; however, COVID-19 times has pushed us into a corner to evaluate every aspect of cybersecurity from the office and keeping the data safe within the home environment. The devices chosen for this experiment were OpenSource such as SNORT and pfSense to detect activities within the home environment, and Cisco, a commercial device, set up within an SME network. All three devices operated in a live environment within the SME network structure with employees being both at home and in the office. All three devices were observed from the rules they displayed, their costs and machine learning techniques integrated within them. The results revealed these aspects to be important in how they identified zero-day attacks. The findings showed that OpenSource devices whilst free to download, required a high level of expertise in personnel to implement and embed machine learning rules into the business solution even for staff working from home. However, when using Cisco, the price reflected the buy-in into this expertise and Cisco’s mainframe network, to give up-to-date information on cyber-attacks. The requirements of the UK General Data Protection Regulations Act (GDPR) were also acknowledged as part of the broader framework of the study. Machine learning techniques such as anomaly-based intrusions did show better detection through a commercially subscription-based model for support from Cisco compared to that of the OpenSource model which required internal expertise in machine learning. A cost model was used to compare the outcome of SMEs’ decision making, in getting the right framework in place in securing their data. In conclusion, finding a balance between IT expertise and costs of products that are able to help SMEs protect and secure their data will benefit the SMEs from using a more intelligent controlled environment with applied machine learning techniques, and not compromising on costs.
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Adiguzel, Yekbun, Kristel P. Ramirez Valdez, and Gulkizilca Yurur. "Medical Use of Sensor-Based Devices, the Debates Around and Implementation in Education." Reports in Advances of Physical Sciences 02, no. 01 (March 2018): 1850001. http://dx.doi.org/10.1142/s2424942418500019.

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Sensor-based diagnostics are increasing rapidly and in clinics, they can transform the health care as they will be in use out of clinics as well, namely, by the non-clinicians and people without expertise. The trade-off between the advantages and disadvantages of their implementation into the clinical settings should be decisive in their use, at the current state. Yet, disadvantages must be carefully worked out and tried to be eliminated in any case, while keeping the inborn benefits. Therefore, we would like to draw attention to the reliability and security risks of personal health data and associated concerns. We further discuss the related issues of sensor-based diagnostics, mobile health (mHealth) and eHealth. The debate starts with the current states of the rules and regulations. It is argued that there is prompt need for internationally consolidated solutions for vast device types and uses onto which the local needs may have to be implemented without violating the basic assets such as the inherent privacy rights of the users/patients. The resistance factors against the sensor-based healthcare devices and applications are also conferred. There are additionally data quality and assessment issues, and in relation to the data assessment, concerns that are associated with the psychological responses of the layman to the health data are mentioned. For these and more reasons, and finally for proper use and implementation of sensor-based tests and devices in the clinical settings, education of both professionals and non-professionals seems to be the key. All these require much work and maybe even more workforces to be allocated for the emerging, associated tasks. However, there are economic benefits, and beyond those, they bring new features in the health care that were deemed to be impossible. Besides, despite the apparent unethical use risks, they can result in better ethical practices, e.g., possible prevention of unnecessary tests on animals when similar test on organ-on-chips would be failing.
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Shutova, N. M. "STYLISTICS OF ADVERTISING TEXT AS A TRANSLATION TASK (ON CAR ADVERTISING MATERIAL)." Bulletin of Udmurt University. Series History and Philology 29, no. 3 (June 25, 2019): 461–70. http://dx.doi.org/10.35634/2412-9534-2019-29-3-461-470.

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The paper concerns stylistic parameters of car advertisements in English and the problems of their preservation in Russian translations. Although commercials today quite actively employ non-verbal expressive means, the verbal part in most cases plays a decisive role in the effectiveness of advertising. The choice of car advertisements for the present study was predetermined by extreme popularity of the car market and its special inventiveness in the art of advertising. The paper’s objective was to define the main stylistic features of car advertisements and slogans - short and striking phrases usually preceding the advertising text itself. Another objective was to single out the most popular stylistic devices and discuss the possible ways of their translation into Russian. The conducted research makes it possible to conclude that epithets, parallel constructions and metaphors are most frequently used to create certain symbolic images. Linguostylistic, lexicographic, situational and comparative analyses were applied to the data processing. The cited advertisements were taken from the websites of the corresponding producers of cars.
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Dissertations / Theses on the topic "Decisive features of devices"

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Possne, Jacob. "Network Convergence or Divergence? : A service perspective on the underlying requirements of future handsets." Thesis, KTH, Kommunikationssystem, CoS, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-92182.

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Network Convergence or Divergence, what is it, and which are the most likely developments? Today, a much talked about area of telecommunications is the move toward the IP Multimedia Subsystem (IMS), and with it the introduction of IP-based communication in both Public Land Mobile Networks and Public Switched Telephony Networks. This thesis attempts to show whether these two networks will converge with each other and with the Internet in the future - based upon the existence of a few important prerequisites in terms of standards and protocols, whilst divergence in the networks could result if technical and economical obstacles are difficult to circumvent or to exclude from future networks. The major drivers for convergence include the existence of standards for packet-based transmission over a wide variety of underlying networks, the existence of services that make use of these underlying networking protocols, and ultimately also the existence of devices that can use the new features of a converged network architecture. The focus is on the impact convergence services or offerings may have on handsets; specifically which protocols need to be supported, as well as those hardware and software requirements that need to be catered for to enable convergence in the handset sector. The thesis concludes with a summary of the most important factors for convergence in future mobile handsets.
Nätkonvergens eller divergens, vad är det egentligen, och var är utvecklingen på väg? Idag talas det mycket om inom telekommunikationsbranchen om steget till IMS (IP Multimedia Subsystem), och i med det övergången till uteslutande IP-baserad kommunikation i både Public Land Mobile Networks och Public Switched Telephony Networks. Jag ämnar i den här framställningen visa att konvergens mellan dessa två nät samt ett tredje; Internet är avhängigt av ett par viktiga grundförutsättningar, som existensen av protokoll och standarder som främjar konvergens, medan en divergerande utveckling är resultatet av tekniska och ekonomiska förutsättningar som är svåra att kringgå i framtida nät. De stora drivkrafterna för konvergens är existensen av standarder och protokoll för paketbaserad överföring av data över skiftande nätarkitekturer, existensen av tjänster som stödjer dessa protokoll, och slutligen användarterminaler som förmår utnyttja dessa tjänster utvecklade för en konvergerande nättopologi. Fokus för min rapport är på det stöd som behövs i terminalerna för att en sådan här utveckling ska kunna äga rum. Kapaciteten i form av protokoll som dessa terminaler måste stödja, samt vilka hård- och mjukvarukrav som måste uppfyllas kommer också att behandlas. Slutligen kommer jag att framställa en sammanfattning av vad jag anser vara de viktigaste faktorerna i framtida terminaler för att driva den här utvecklingen.
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Fredriksson, Tomas, and Rickard Svensson. "Analysis of machine learning for human motion pattern recognition on embedded devices." Thesis, KTH, Mekatronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246087.

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With an increased amount of connected devices and the recent surge of artificial intelligence, the two technologies need more attention to fully bloom as a useful tool for creating new and exciting products. As machine learning traditionally is implemented on computers and online servers this thesis explores the possibility to extend machine learning to an embedded environment. This evaluation of existing machine learning in embedded systems with limited processing capa-bilities has been carried out in the specific context of an application involving classification of basic human movements. Previous research and implementations indicate that it is possible with some limitations, this thesis aims to answer which hardware limitation is affecting clas-sification and what classification accuracy the system can reach on an embedded device. The tests included human motion data from an existing dataset and included four different machine learning algorithms on three devices. Support Vector Machine (SVM) are found to be performing best com-pared to CART, Random Forest and AdaBoost. It reached a classification accuracy of 84,69% between six different included motions with a clas-sification time of 16,88 ms per classification on a Cortex M4 processor. This is the same classification accuracy as the one obtained on the host computer with more computational capabilities. Other hardware and machine learning algorithm combinations had a slight decrease in clas-sification accuracy and an increase in classification time. Conclusions could be drawn that memory on the embedded device affect which al-gorithms could be run and the complexity of data that can be extracted in form of features. Processing speed is mostly affecting classification time. Additionally the performance of the machine learning system is connected to the type of data that is to be observed, which means that the performance of different setups differ depending on the use case.
Antalet uppkopplade enheter ökar och det senaste uppsvinget av ar-tificiell intelligens driver forskningen framåt till att kombinera de två teknologierna för att både förbättra existerande produkter och utveckla nya. Maskininlärning är traditionellt sett implementerat på kraftfulla system så därför undersöker den här masteruppsatsen potentialen i att utvidga maskininlärning till att köras på inbyggda system. Den här undersökningen av existerande maskinlärningsalgoritmer, implemen-terade på begränsad hårdvara, har utförts med fokus på att klassificera grundläggande mänskliga rörelser. Tidigare forskning och implemen-tation visar på att det ska vara möjligt med vissa begränsningar. Den här uppsatsen vill svara på vilken hårvarubegränsning som påverkar klassificering mest samt vilken klassificeringsgrad systemet kan nå på den begränsande hårdvaran. Testerna inkluderade mänsklig rörelsedata från ett existerande dataset och inkluderade fyra olika maskininlärningsalgoritmer på tre olika system. SVM presterade bäst i jämförelse med CART, Random Forest och AdaBoost. Den nådde en klassifikationsgrad på 84,69% på de sex inkluderade rörelsetyperna med en klassifikationstid på 16,88 ms per klassificering på en Cortex M processor. Detta är samma klassifikations-grad som en vanlig persondator når med betydligt mer beräknings-resurserresurser. Andra hårdvaru- och algoritm-kombinationer visar en liten minskning i klassificeringsgrad och ökning i klassificeringstid. Slutsatser kan dras att minnet på det inbyggda systemet påverkar vilka algoritmer som kunde köras samt komplexiteten i datan som kunde extraheras i form av attribut (features). Processeringshastighet påverkar mest klassificeringstid. Slutligen är prestandan för maskininlärningsy-stemet bunden till typen av data som ska klassificeras, vilket betyder att olika uppsättningar av algoritmer och hårdvara påverkar prestandan olika beroende på användningsområde.
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Rodrigues, David Ernest. "Microwave curing of hybrid inorganic-organic ceramers and some additional structural features of these material." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-07112007-092851/.

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Lo, Chi Chuen. "Integrated silicon optical bench with passive alignment features for three-dimensional optical interconnect /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?MECH%202004%20LO.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.
Includes bibliographical references (leaves 118-122). Also available in electronic version. Access restricted to campus users.
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Hidalgo, Flores Paul Joseph 1986. "Compact features for mobile visual search = Descritores compactos para busca visual em dispositivos móveis." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258941.

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Orientador: Eduardo Alves do Valle Junior
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
Made available in DSpace on 2018-08-27T09:45:59Z (GMT). No. of bitstreams: 1 HidalgoFlores_PaulJoseph_M.pdf: 28047685 bytes, checksum: 055aafb9f31fc0ba5c1cfac1cc7a79b3 (MD5) Previous issue date: 2015
Resumo: Aplicações de busca visual em aparelhos móveis (Mobile Visual Search ¿ MVS) tornaram-se possíveis devido ao alto poder computacional e a multiplicidade de sensores dos novos dispositivos móveis (smart-phones, tablets). Além disso, o estado da arte em recuperação de informação multimídia baseada no conteúdo (Content Based Image Retrieval - CBIR) alcançou uma maturidade que permite realizar estas tarefas de forma eficiente. Nesta dissertação, apresentamos um estudo das principais técnicas em CBIR visual das imagens. Uma vasta investigação da literatura foi realizada, que inclui desde os descritores baseados em gradiente mais comuns aos mais recentes descritores binários e compactos. Como resultado da análise comparativa entre as principais técnicas no contexto de MVS, apresentamos as alternativas mais apropriadas para serem utilizadas em tais aplicações
Abstract: Mobile Visual Search (MVS) applications became possible due to the computational power and multiple sensors on current mobile devices (smart-phones, tablets). In addition, the state-of-the-art in content based image retrieval (CBIR) has reached a maturity to perform these tasks efficiently. In this dissertation, we present a study of the major techniques in CBIR. An extensive study of literature, including the most common descriptors based on gradients and the recently proposed binary descriptors. As a result of comparative analysis between the main techniques in the context of MVS, we present the most appropriate alternatives to use in such applications
Mestrado
Engenharia de Computação
Mestre em Engenharia Elétrica
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Wen, Liaoyong [Verfasser], Yong [Akademischer Betreuer] Lei, Gerhard [Akademischer Betreuer] Wilde, and Heiko [Akademischer Betreuer] Jacobs. "Binary Nano-structuring : Concept, Strategies, Features and Devices / Liaoyong Wen. Betreuer: Yong Lei. Gutachter: Gerhard Wilde ; Heiko Jacobs." Ilmenau : Universitätsbibliothek Ilmenau, 2016. http://d-nb.info/1098185250/34.

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Wen, Liaoyong [Verfasser], Yong [Akademischer Betreuer] Lei, Gerhard [Akademischer Betreuer] Wilde, and Heiko O. [Akademischer Betreuer] Jacobs. "Binary Nano-structuring : Concept, Strategies, Features and Devices / Liaoyong Wen. Betreuer: Yong Lei. Gutachter: Gerhard Wilde ; Heiko Jacobs." Ilmenau : Universitätsbibliothek Ilmenau, 2016. http://nbn-resolving.de/urn:nbn:de:gbv:ilm1-2016000096.

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Shahidi, Hamed. "Security Challenges of Communication Protocols in IoT : Comparing security features of ZigBee and Z-Wave communication protocols in IoT devices." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-40113.

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This research studies the security challenges in IoT devices. At first, security challenges have been described and then specifically the security of communication protocols in the IoT has been addressed. Finally, among different communication protocols, ZigBee and Z-Wave protocols have been chosen for this study. The criterion for choosing these two protocols is the level of security they provide for IoT devices to protect them against unauthorized access and hacking. Security, frequency, power consumption and data rate are the characteristics that have been discussed in the review of these two protocols. In the end, a comparison of the various features of these two protocols clarified that the security of IoT devices in each of these protocols depends on the type of the IoT device, the required range and other requirements, however, in most cases the ZigBee protocol showed more security than Z-Wave.
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Bookwala, Avinash Turab. "Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users." AUT University, 2009. http://hdl.handle.net/10292/920.

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In this thesis, we present an innovative and novel approach to personalise maps/geo-spatial services for mobile users. With the proposed map personalisation approach, only relevant data will be extracted from detailed maps/geo-spatial services on the fly, based on a user’s current location, preferences and requirements. This would result in dramatic improvements in the legibility of maps on mobile device screens, as well as significant reductions in the amount of data being transmitted; which, in turn, would reduce the download time and cost of transferring the required geo-spatial data across mobile networks. Furthermore, the proposed map personalisation approach has been implemented into a working system, based on a four-tier client server architecture, wherein fully detailed maps/services are stored on the server, and upon a user’s request personalised maps/services, extracted from the fully detailed maps/services based on the user’s current location, preferences, are sent to the user’s mobile device through mobile networks. By using open and standard system development tools, our system is open to everyday mobile devices rather than smart phones and Personal Digital Assistants (PDA) only, as is prevalent in most current map personalisation systems. The proposed map personalisation approach combines content-based information filtering and collaborative information filtering techniques into an algorithmic solution, wherein content-based information filtering is used for regular users having a user profile stored on the system, and collaborative information filtering is used for new/occasional users having no user profile stored on the system. Maps/geo-spatial services are personalised for regular users by analysing the user’s spatial feature preferences automatically collected and stored in their user profile from previous usages, whereas, map personalisation for new/occasional users is achieved through analysing the spatial feature preferences of like-minded users in the system in order to make an inference for the target user. Furthermore, with the use of association rule mining, an advanced inference technique, the spatial features retrieved for new/occasional users through collaborative filtering can be attained. The selection of spatial features through association rule mining is achieved by finding interesting and similar patterns in the spatial features most commonly retrieved by different user groups, based on their past transactions or usage sessions with the system.
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González, Lagos Paulina. "Illocutionary force indicating devices in supra-segmental features in indirect relations between locution and illocution: a study of semi-scripted interviews." Tesis, Universidad de Chile, 2017. http://repositorio.uchile.cl/handle/2250/143265.

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Informe de Seminario para optar al grado de Licenciado en Lengua y Literatura Inglesa
The study of supra-segmental features has been an important matter for linguistic studies and the phonology area where intonation and stress patterns are involved in the understanding of connected speech during conversations. Historically, the interaction between illocutionary forces and locutionary forces has been analyzed in studies regarding humor, more specifically sarcasm and irony, however, the aim of this study is focused on indirect relations between locution and illocution in everyday speech. The aim of this study is to find the means by which illocutionary force is understood, and to disclose any intonation pattern in the relation between locutionary and illocutionary forces. An analysis of 4 episodes of the BBC’s programme Hard Talk was performed in order to obtain data of the use of locutionary and illocutionary forces by the host of the show, in a semi-structured interview where diverse guests were asked for specific topics regarding their regular activities and opinions. The presence of perlocutionary force could be analyzed by means of the interviewee’s responses during the communicative interaction of the subjects studied.
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Books on the topic "Decisive features of devices"

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LaPlante, Mitchell P. Assistive technology devices and home accessiblity features: Prevalence, payment, need, and trends. [Hyattsville, Md.] (6525 Belcrest Rd., Hyattsville 20782): [U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1992.

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Polzella, Donald J. Aircrew training devices: Utility and utilization of advanced instructional features (phase II - Air Training Command, Military Airlift Command, and Strategic Air Command). Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1986.

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Berikashvili, Valeriy. The coherent optics and optical information processing. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/999893.

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Presented in the textbook materials relate to the disclosure of the common features of radio and optical telecommunication systems. In detail the device and principles of operation of gas, solid and semiconductor lasers, photodetectors, key photoelectric devices, phototransistors, of photothyristors. The studied display device. Great attention is paid to the elemental basis of fiber-optical systems of collecting and information transfer. Meets the requirements of Federal state educational standards of higher education of the last generation. For students in the areas of "Photonics and Optoinformatics", "Instrumentation" and "optical engineering".
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Prohorov, Viktor. Semiconductor converters of electrical energy. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1019082.

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The textbook considers the need, principles and methods of mutual conversion of parameters of electric energy at DC and AC for stationary and Autonomous objects. Features of operation of power electronics elements in specific conditions of their continuous high-frequency switching are described. Low-current control systems that provide the necessary logic for the operation of Executive power devices of converters are considered. A large number of specific practical electrical diagrams of electric energy converters are given. It is intended for students studying in the direction of 13.03.02 "electric power and electrical engineering". It can be useful for graduate students and specialists involved in the development and operation of electric power converters.
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Canada, Canada Natural Resources, ed. Energy-saving devices and features for the office. [Ottawa, Ont.]: Natural Resources Canada, 1994.

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Photonic Crystals: Features and Applications. Nova Science Pub Inc, 2013.

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1947-, Impedovo S., and Simon Jean Claude 1923-, eds. From pixels to features III: Frontiers in handwriting recognition. Amsterdam: North-Holland, 1992.

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Aircrew training devices: Utility and utilization of advanced instructional features (phase IV-summary report). Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1987.

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Teaching Writing With Mentor Texts In The Primary Classroom 20 Lessons Based On Favorite Picture Books That Introduce Story Structure Nonfiction Text Features Authors Craft. Scholastic Teaching Resources, 2011.

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United States. National Aeronautics and Space Administration., ed. Numerical simulation of a powered-lift landing, tracking flow features using overset grids, and simulation of high lift devices on a fighter-lift-and-control wing. San Jose, CA: MCAT Institute, 1993.

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Book chapters on the topic "Decisive features of devices"

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Vasudevan, Amit, Jonathan M. McCune, and James Newsome. "Desired Security Features." In Trustworthy Execution on Mobile Devices, 9–14. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8190-4_3.

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Jones, Peter F. "Interactive control devices." In CAD/CAM: Features, Applications and Management, 31–41. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-22141-7_4.

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Rockrohr, James Donald. "HSS Features and Functions." In High Speed Serdes Devices and Applications, 31–98. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-79834-9_2.

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Tagliacozzo, Arturo, and Alfredo Levy Yeyati. "Mesoscopic Features in Nanoscale Superconducting Devices." In Fundamentals and Frontiers of the Josephson Effect, 147–207. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20726-7_5.

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Mitra, Ambik, Debasis Mohanty, Muhammad Fazal Ijaz, and Abu ul Hassan S. Rana. "Deep Learning Approach for Object Features Detection." In Advances in Communication, Devices and Networking, 251–59. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2911-2_27.

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Iaizzo, Paul A. "General Features of the Cardiovascular System." In Handbook of Cardiac Anatomy, Physiology, and Devices, 3–12. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-372-5_1.

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Iaizzo, Paul A. "General Features of the Cardiovascular System." In Handbook of Cardiac Anatomy, Physiology, and Devices, 3–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19464-6_1.

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Kelly, James, Christopher Parks, James Demarest, Juntao Li, and Christopher Penny. "Microstructure Evolution of Copper in Nanoscale Interconnect Features." In Copper Electrodeposition for Nanofabrication of Electronics Devices, 115–30. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9176-7_6.

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Bateman, Michael G., Jason L. Quill, Alexander J. Hill, and Paul A. Iaizzo. "Detailed Anatomical and Functional Features of the Cardiac Valves." In Handbook of Cardiac Anatomy, Physiology, and Devices, 115–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19464-6_7.

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Liu, Xiaofeng. "Impacts of Features and Tagging Schemes on Chunking." In Recent Trends in Intelligent Computing, Communication and Devices, 213–19. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9406-5_26.

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Conference papers on the topic "Decisive features of devices"

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Gao, Feng, Y. Steve Hong, and Radha Sarma. "Feature Model for Surface Micro-Machined MEMS." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48186.

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Lacking proper geometric design capability is one of the main factors that are impeding MEMS development. MEMS developers are suffering the cumbersome and unintuitive traditional design methodology in which the design of a new product begins with figuring out its fabrication mask layouts. As the kernel of new MEMS design methodology, a new model for MEMS devices is highly required to implement structured design strategies. This paper focuses on developing a feature model for MEMS geometric design, which enables designers to create fabrication-ready 3D models of MEMS devices in an intuitive manner. This feature model not only represents the geometric information of the devices but also provides the high level engineering means to describe the design intent, and hence, it can be used to facilitate the decision making process in design and the modification of models in subsequent stages. The separation of design and fabrication allows designers to concentrate on creative design activity without thinking of the tedious fabrication issues. The features specified according to common fabrication process aim to systematically map design intents to fabrication data. A generalized framework for MEMS feature model is presented in which the features are manipulated and managed in a declarative manner.
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Schneider, Charles M., Ajay K. Verma, Tamanna T. K. Munia, Mark Romanick, Kouhyar Tavakolian, and Reza Fazel-Rezai. "Analysis of Postural Stability After Concussion Using Empirical Mode Decomposition: A Pilot Study." In 2017 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dmd2017-3541.

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Maintaining upright stance is a complex process, it requires appropriate functioning of a postural control system which consists of inputs from somatosensory, vestibular, musculoskeletal, and proprioceptive systems as well as from several brain regions [1–4]. A concussion is defined as a brain injury caused due to unexpected acceleration/deceleration of the head causing temporary alteration of brain function and it is a prevalent source of injury to football athletes [1]. With the altered function of the brain, the ability to maintain postural equilibrium becomes challenging due to the inability of individuals to respond promptly to stressors, thus, making maintenance of postural equilibrium rather difficult for individuals with a concussion. Effects of concussion on postural ability are shown to last up to three days post injury [5]. Postural stability test, therefore, can be performed to make a valid return to play (RTP) decision, pre-mature RTP is shown to have been catastrophic due to its potential to permanently impair previously affected region/functioning [1,5]. Postural sway data (center of pressure, COP) is traditionally analyzed to study the postural control. Therefore, COP can provide critical information regarding individual’s ability to maintain upright stance post injury. A more sensitive concussion assessment tool based on electroencephalogram (EEG) is used to accurately track effects of concussion [6]. However, sophisticated electrode placement requirement inhibits its immediate applicability. In current preliminary research, we attempt to differentiate athletes with a history of concussion (experimental) from healthy (control) using postural data. In order to do so, a concept of empirical mode decomposition (EMD) was adopted. EMD has shown evidence in the literature to infer vital information pertaining to the complex underlying physiological phenomenon [4, 7–8]. In the current research, the resultant COP (COPr) was decomposed into its finite set of band-limited signals termed as intrinsic mode functions (IMFs) [8], a set of linear and nonlinear features were extracted from COPr and its IMfs. Lastly, a test of significance was conducted to infer the potential of postural data for differentiating concussed from healthy athletes.
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Saito, Yuta, Shuhei Torisaki, and Shuichiro Miwa. "Two-Phase Flow Regime Identification Using Fluctuating Force Signals Under Machine Learning Techniques." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-81288.

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For rational design of industrial machineries such as nuclear power plants and heat exchanging devices, understanding of the two-phase flow regime is crucial. In this study, a new method of flow regime identification using the two-phase fluctuating force signals is proposed. Unlike the existing methodologies to measure two-phase flow parameters, the advantageous feature of utilizing the fluctuating force signal is that the measurement can be conducted under completely intrusive environment. Experiments were conducted using the tri-axial force transducers installed at the 90 degrees pipe bend of the vertical upward flow. For signal classification, machine learning techniques were utilized to identify flow regime, and four types flow regimes, namely, bubbly, slug, churn-turbulent, and annular flows were considered. From the obtained fluctuating force database, the features that characterize the signal were selected in the time and the frequency domain. In the current study, three types of machine learning algorithms such as the artificial neural network (ANN), support vector machine (SVM), and decision tree were examined and results obtained by each learning technique was compared.
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Mallener, W., K. H. Rauwald, and R. Duwe. "Coatings for Plasma-Facing Components of Nuclear Fusion Devices." In ITSC 1998, edited by Christian Coddet. ASM International, 1998. http://dx.doi.org/10.31399/asm.cp.itsc1998p0939.

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Abstract Tungsten coatings on copper substrates were produced and subjected to thermal shock loads in an electron beam device. The aim was to minimize the erosion rates thus caused. They are basically dependent on the level and type of porosity. Moreover, material erosion can also be directly influenced by the spraying parameters in coatings with the same relative density. In this connection, the chamber pressure, powder size and spraying distance play a decisive role.
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Semenov, S. V., A. Ya Zorkin, and N. A. Vavilina. "Nanotechnology features of vacuumelectron devices." In 2016 International Conference on Actual Problems of Electron Devices Engineering (APEDE). IEEE, 2016. http://dx.doi.org/10.1109/apede.2016.7879020.

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Sopin, R. S., and А. V. Palapin. "CONSTRUCTIVE FEATURES OF SPAYING DEVICES." In 11-я Всероссийская конференция молодых учёных и специалистов «Актуальные вопросы биологии, селекции, технологии возделывания и переработки сельскохозяйственных культур». V.S. Pustovoit All-Russian Research Institute of Oil Crops, 2021. http://dx.doi.org/10.25230/conf11-2021-233-236.

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There are considered modern constructions of ventilatory spraying devices for protection of agricultural crops. The general operative parts are described, constructive features of spraying devices of Russian and foreign production are listed.
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Schilling, Andreas, Rene Staub, and Wayne R. Tompkin. "Achromatic features for optically variable devices." In Electronic Imaging 2002, edited by Rudolf L. van Renesse. SPIE, 2002. http://dx.doi.org/10.1117/12.462715.

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Luís-Ferreira, Fernando, João Sarraipa, Jorge Calado, Joana Andrade, Daniel Rodrigues, and Ricardo Jardim Goncalves. "Artificial Intelligence Based Architecture to Support Dementia Patients." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10985.

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Abstract Artificial Intelligence is driving a revolution in the most diverse domains of computational services and user interaction. Data collected in large quantities is becoming useful for feeding intelligent systems that analyse, learn and provide insights and help decision support systems. Machine learning and the usage of algorithms are of most importance to extract features, reason over collected data so it becomes useful and preventive, exposing discoveries augmenting knowledge about systems and processes. Human driven applications, as those related with physiological assessment and user experience, are possible especially in the health domain and especially in supporting patients and the community. The work hereby described refers to different aspects where the Artificial Intelligence can help citizens and wraps a series devices and services that where developed and tested for the benefit of a special kind of citizens. The target population are those under some kind of Dementia, but the proposed solutions are also applicable to other elder citizens or even children that need to be assisted and prevented from risks.
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Boiko, Juliy, Ilya Pyatin, and Oleksander Eromenko. "Farrow Interpolator Features in QPSK Telecommunication Devices." In 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET). IEEE, 2020. http://dx.doi.org/10.1109/tcset49122.2020.235410.

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Schilling, Andreas, Wayne R. Tompkin, René Staub, Roger D. Hersch, Sylvain Chosson, and Isaac Amidror. "Diffractive moire features for optically variable devices." In Electronic Imaging 2006, edited by Rudolf L. van Renesse. SPIE, 2006. http://dx.doi.org/10.1117/12.642910.

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