The fitting occurs in real‐time , allowing the user to be only as precise as needed to have a good starting configuration for this non‐convex optimization problem . We evaluate the accessibility of our approach with a user study . It helps researchers to benefit from the semantically enriched content , e.g. to carry out sophisticated location-based searches . The usability and ease of learning of this web interface were evaluated in a user-based study , the results of which are also reported . Meanwhile , the details in the highlighted and dark regions were preserved simultaneously . The experimental results demonstrated that our work outperformed the state-of-the-art methods not only in several objective quality measures but also in a user study analysis . The work described followed a multi-disciplinary approach strongly influenced by Human-Computer Interaction ( HCI ) methodologies . The main contributions of this paper are two-fold and materialize into i ) a user research study that covers aspects such as perception , cognition , mental and psychosocial changes that occur with age and ii ) an example-based description of the process of creating personas . John , the diabetic persona , is the example provided that abstracts the process followed to generate the remaining personas in the project . The results are mainly based on the evaluation of a prototype that tailors the retrieval of documents from the Web4health portal to users ' characteristics and information needs with the help of a user model . The evaluation is conducted through a user empirical study based on user observation and in-depth interviews . Specifically , we first briefly introduce the basics of color spaces including color appearance models . In the core of our paper , we survey colormap generation techniques , including the latest advances in the field by grouping these techniques into four classes : procedural methods , user-study based methods , rule-based methods , and data-driven methods ; we also include a section on methods that are beyond pure data comprehension purposes . We then classify colormapping techniques into a taxonomy for readers to quickly identify the appropriate techniques they might use . Often , evaluators study a computing system inside a laboratory setting to best gain an understanding of the effect of the system when different factors are manipulated . The laboratory setting allows evaluators to create not only the environment , but also the scenario in which a user study of system is conducted . Thus , the laboratory setting allows evaluators to control possible confounding variables and to develop insight about the cause-and-effect of the system when they manipulate specific usage factors . These authenticatable channels can be used to form a basis for pairing . In this paper , we present the results of a user study of a technique used to pair two devices ( such as two cell phones ) which have good quality output interfaces in the form of a display , speaker , and/or vibration . This chapter provides a non-technical perspective on the ongoing dialogues between public health and IT researchers , including the recognition that technical merits and novelty alone do not suffice to guarantee or sustain system success ; it instead demands appropriate system design/functionality and sound understanding of user behaviors . System evaluation and user study research thus can play a significant role in infectious disease information research . The system further benefits from lower cost and easier deployment . To evaluate the green navigation service efficiency , we conducted a user subject study consisting of 22 users driving different vehicles over the course of several months in Urbana-Champaign , IL . The experimental results using the collected data suggest that fuel savings of 21.5 over the fastest , 11.2 percent over the shortest , and 8.4 percent over the Garmin eco routes can be achieved by following GreenGPS green routes . We conduct the experiment using winter summer translation with the Yosemite dataset . For realism , we conduct a user study using pairwise comparison . Given a pair of images sampled from real images and translated images generated from various methods , users need to answer the question “ Eye tracking has long held the promise of being a useful methodology for human computer interaction . However , a number of barriers have stood in the way of the integration of eye tracking into everyday applications , including the intrusiveness , robustness , availability , and price of eye-tracking systems . As the eye scans the environment , or focuses on particular objects in the scene , the processor simultaneously localizes the eye position , tracks its position and movement over time , and infers counter measures such as fatigue level , attention level , and gaze direction in real-time and automatically . The focus of this demonstration is placed on four different algorithms : auto-initialization ( RHED ) , eye position tracking ( SIRAT ) , eye closure recognition ( HRA ) , driver head pose categorization . Measuring pupil diameter through remote eye-tracking instead is an unobtrusive method . However , a practical eye-tracking-based system must also account for pupil changes due to variable lighting conditions . Based on the results of a study with tasks of varying mental demand and six different lighting conditions , we built a simple model that is able to infer the workload independently of the lighting condition in 75 % of the tested conditions . The general objective of this work is to analyze the use of eye tracking in Brazil to aid in the decision-making process in the advertising field . The specific objectives are : to describe the variables that can be captured by eye tracking tools and the data that can be obtained from them ; to make a bibliographical survey of the benefits and limitations of the eye tracking tool ; understand how the data collected through an eye tracking tool can contribute to the decision making in advertising and possible applications in this field . This qualitative research , from bibliographical research and content analysis , investigated articles published in periodicals from 2010 to 2017 on this topic . In this paper , an individual human computer interface system using eye motion tracking is introduced . Traditionally human computer interface uses mouse , keyboard as an input device . The evolutionary algorithm is responsible for exploring the genotype control space , and the reinforcement learning algorithm organizes the evolved genotype into a reactive phenotype . The evolutionary algorithm encodes an eye-tracking scheme as a genetic code based on image variation analysis . Then , the reinforcement learning algorithm defines internal states in a phenotype control space limited by the perceived genetic code and carries out interactive adaptations . Each Scheimpflug imaging system can have respective video cameras and optics configured to direct light reflected from an eye into the video cameras . The apparatus can also have a movable platform configured to move the pair of Scheimpflug imaging systems in accordance with eye movement detected by an eye tracking imaging system . In some embodiments , the Scheimpflug imaging systems can rotate 90 degrees about an optical axis of an eye being examined . The apparatus for driving a wiper of a vehicle by using eyes of a driver and the method thereof are capable of securing a sight of a driver by driving a wiper by adapting the wiper for the amount of rainfall and the amount of snowfall since the wiper is driven when the eyes of the driver focus on a windshield of the vehicle by tracing the eyes of the driver by using 3D eye tracer technique . The apparatus for driving a wiper of a vehicle by using eyes of a driver comprises : an eye tracking part for tracking eyes of a driver ; a controlling part for controlling a wiper driving part to drive the wiper when the eyes of the driver tracked by the eye tracking part focus on a windshield of the vehicle ; and the wiper driving part for driving the wiper under the control of the controlling part . [ Reference numerals ] ( 10 ) Eye tracking part;(20 ) Controlling part;(30 ) Wiper driving part Eye state tracking for driving is the key problem in fatigue detection , and it has been proved to be effective and popular method in fatigue driving . In this paper , we present a new algorithm framework for fatigue driving . Advanced translation workbenches with detailed logging and eye-tracking capabilities greatly facilitate the recording of key strokes , mouse activity , or eye movement of translators and post-editors . The large-scale analysis of the resulting data logs , however , is still an open problem . The paper presents a study that evaluates the perception of ( novice ) evaluators on Nielsen ’s usability heuristics . A standard survey was applied in five experiments . More specifically , it discusses H 's claim that the principle of CrossCategory Harmony can shed light on the proper formulations of the X ' schemas of generative grammar . Finally , it is shown how survey studies of word order can be relevant to forming initial hypotheses about certain properties of grammar , and how the study of language typology might proceed within the generative framework . * In each case study , use of multi-image photogrammetry has allowed for better , faster and more cost-effective results than would otherwise have been possible . Case studies include a survey of an Iron Age fort , a rapid survey of exposed segments of an intertidal wreck , both commissioned for heritage management purposes and a community survey of a 17th century gravestone undertaken by children under the age of 16 . Finally the obstacles to wider adoption in the contract-led sector are discussed and it is argued that a concerted approach is required to create and disseminate simple and reliable workflows . Taking journals collected by Pudong Library as research samples , this paper makes a study of the classification and gradation of journals , puts forward the basis and method . It also puts forward the construction of regular readers survey system , multi-level journals recommended reading models and diversity journals recommended reading channels . The purpose is to establish a set of scientific , systematic , operable public library journals rec-ommended reading system . For that , the methodology applied began by developing a digitalization management framework , with seventeen questions concerning eight organizational dimensions and the adoption of technological innovations . The framework passed by an evaluation process and went available for collecting data of small enterprises through digital survey platform , sent by e-mail . The framework application permitted us to characterize 346 companies in São Paulo , from those 77 were industries , our focus on this paper . Results from a social survey of reaction to aircraft noise are used to investigate the effectiveness of various measures of noise exposure . The measures tested include the equal energy index , models involving a logarithmic trade-off of noise level and number of events , “ peak-level ” models and other non-standard noise descriptors . Thirteen of the twenty-five students completing the surveys and case assignments also volunteered to take part in in-depth interviews ( Appendix C ) about their experiences with the automatic essay scorer . The thirteen possible interviewees were sorted into different types of users according to a ) their opinions of the automated scorer ( taken from post-assignment survey ) , b ) actual essay scores assigned by the instructor , and c ) average number of drafts they completed per response section for both cases . The thirteen volunteers were distributed across five of these typologies ( see Table 1 ) and four students , representing types A , C , F , and G , participated in interviews . Three areas of research investigating ( i ) author and reader attitudes and behaviours , ( ii ) article-level usage at repositories and publisher platforms , and ( iii ) the economics of large-scale archiving have been commissioned and are producing results . The baseline behavioural survey identified an increasing general awareness of open access , but a lower awareness of institutional and subject repositories . Perceptions were also found to vary depending on whether individuals were responding from an author or reader perspective . The research method used is descriptive method with quantitative approach . Shape survey ( survey study ) . The study sample as many as 78 students . The author investigated the applications of deep learning technology for mining cycle that is divided into investigation , exploration , development , mine operation , and disaster analysis . In the survey and exploration phase , a number of studies have been proposed to carry out mineral potential mapping by integrating geochemical and geophysical explorations , geological maps , fault lines , and topographic information . In the mine development and management phase , studies on autonomous situation detection , automatic calculation , and equipment control were carried out using mine status data measured by sensors or cameras . Understanding travel behaviour and travel demand is of constant importance to transportation communities and agencies in every country . Nowadays , attempts have been made to automatically infer transportation modes from positional data , such as the data collected by using GPS devices so that the cost in time and budget of conventional travel diary survey could be significantly reduced . Some limitations , however , exist in the literature , in aspects of data collection ( sample size selected , duration of study , granularity of data ) , selection of variables ( or combination of variables ) , and method of inference ( the number of transportation modes to be used in the learning ) . To understand travel behaviour , some standard data collection practices have been in place in order to collect travel data . Among these practices are GPS - based travel surveys , where participants carry a GPS device for a certain duration of time and following this up by a prompt recall survey to report trip information , such as the transportation modes they used in every trip ( e.g. cycle , walk , bus and so forth ) ( Stopher , 2008 ) . Yet , many studies have reported high underreporting rates due to the participants ’ burden to fill in daily details of their activities ( Bricka & Bhat , 2006 ) . 2.1 . Travel survey definitions In order to de - construct a GPS track , some definitions have been standardised to be used for the description of different fragments of the trip . Web log Analyzer helps us to analyze user behavior that contain information namely IP address , user name , number of hits , files , visit , bytes transferred and uniform resource locator ( URL ) that referred . It is very meaningful to have Web Log Analyzer tools which help us in knowing the emerging trends of electronic commerce and user with an approach of Web analytics . This paper states various Web Log Analyzer tools to analyze behavior of user . With the emergence of the World Wide Web , analyzing and improving Web communication has become essential to adapt the Web content to the visitors ' expectations . Web communication analysis is traditionally performed by Web analytics software , which produce long lists of page-based audience metrics . These results suffer from page synonymy , page polysemy , page temporality , and page volatility . The fifth part of the tutorial will cover other application examples of deep learning . These include object segmentation and action recognition from videos [ 9 ] , web data analytics , and wearable/IoT sensor data modeling for smart services . To mitigate this issue , a Topic Maps-based semantic platform was developed at the Antwerp University Hospital to assist in the recruitment of clinical trial participants from the full patient population . The platform consists of ( 1 ) a Web-based editor for the creation of ontology-based clinical trial representations , ( 2 ) a patient evaluator that connects to structured and unstructured hospital data sources to determine eligibility for a clinical trial , and ( 3 ) a Web-based analytics module for reviewing evaluation results . The semantic nature of the clinical trial representation allows for generic formalization as well as for local adaptation of the study protocol to accommodate a specific hospital IT infrastructure . The collected data can be explored by users with the web interface . The framework has also been integrated with two major web analytics solutions in the market . Namely , Google Analytics and Adobe SiteCatalyst . Malwareless Web-analytics pollution ( MWAP ) attack is a type of cross-site attack that has been recently identified and discussed in [ 1 ] . The main aim of this attack is to distort the Web-site access logs of the victim/target company , and through that also distort this company 's Web-based data analytics as well as its overall business performance . The key characteristics of the MWAP attack is that it is very easy to execute , as it does not involve the use of any malware , and it can be preformed simply by luring a set of random third-party users into visiting a specially crafted decoy Web-page . Users invest time , attention , and emotion into them . User engagement is measured in many ways , through methods of self-reporting ( e.g. , questionnaires ) , observer methods ( e.g. , facial expression analysis , speech analysis , desktop actions , etc . ) , neuro-physiological signal processing methods ( e.g. , respiratory and cardiovascular accelerations and decelerations , muscle spasms , etc . ) , and from a web analytics perspective ( through online behavior metrics that assess users ' depth of engagement with a site ) . These methods represent various tradeoffs between scale of data and depth of understanding ( for instance , surveys are s ... It is followed by a particular procedure of proposal and realization of internet business . The final part of the thesis deals with web analytics processing in e-business systems . GoogleTM Analytics is an easy-to-use Web analytics program that gives you insight into Web site traffic . Many Extension programs use the Web to distribute information . Automatic evaluation procedures will be provided . Submitted results will also be subject to human evaluation . The present proposal is tentative in two different ways . Furthermore , the system is open source and uses a modular design , which makes it relatively easy for people to add extensions . Human-based evaluation shows that people are generally positive towards PASS in regards to its clarity and fluency , and that the tailoring is accurately recognized in most cases . Existing automated metrics like pSNR , SSIM and MS - SSIM have been shown to not correlate with perceptual image quality PixelRecursiveSuperResolution . Hence , we conducted a human evaluation study on Amazon Mechanical Turk where each worker is required to make a binary choice when shown one generated and one real image . Following the same procedure for the evaluation study as , we show pairs of images , selected randomly from the validation set , to workers each . section : Human Evaluation We also undertook two human evaluation studies , using Amazon Mechanical Turk . The first study attempted to determine whether generations considered to be more precise by our metrics were also considered more precise by human raters . Table 1 shows the various normalized scores for null op evaluation . Table 2 shows the various normalized scores for human start evaluation . Table 3 shows the various raw scores for human start evaluation . This research is part of a research trilogy that investigated issues impacting Interactive White Board Technology ( IWBT ) adoption and use in a higher education institution . The other two research studies in this trilogy used ( 1 ) focus group approach and ( 2 ) survey research to identify such impacting factors . One major insight from these two studies suggested that aspects concerning IWBT limited use and integration in the classroom . We believe that using archetypes in user research gives us a better view of behavior in interaction design of rehabilitation systems and provide developers with a model to validate interactive elements in stroke rehabilitation systems and user flows at a macro level . In this paper , a user study was designed to be conducted to validate behavioral archetypes of these groups through interviews and focus group sessions with different physicians , therapists and caregivers in rehabilitation centers . The analysis of each of its components on the developed scale allows to reveal the degree of cluster initiative implementation , as well as to determine the most effective support measures based on the state of the cluster competitive advantages . The determination of cluster competitive advantages is carried out by the method of focus group conduct among experts , and their quantitative assessment is carried out using the questionnaire method , which gives the assessment of implementation and importance . The developed methodology can be used to develop normative and strategic programs for the formation and the functioning of industrial clusters , the development of which corresponds to the implementation of import substitution processes and the transition of Russia to an innovative type of development . This research has the potential to improve our understanding of challenges and solutions in M&A activity , we attend to this potential through an explorative research approach .. In this paper , we adopted the focus group gathering technique ( new method ) , specifically a ‘ less-structured ’ focus group process as well as the KJ method for analysis . We also used technology intensive companies as the research context ( new industry domain ) as they represent an unexplored industry with the potential for new knowledge according to Toppenberg & Henningsson ( 2013 ) . Brown University Library hired a professional marketing and opinion research firm to conduct focus group meetings with library users and to provide data analysis . The discussion includes a review of the library literature on focus group use , practical aspects of focus group methodology , and the benefits of employing professionals where librarian expertise is low . Logistics of focus group preparation , meetings , and report are discussed . As a dynamic and iterative process , quality assurance ( QA ) is intertwined with the e‐learning development process . Design/methodology/approach – After reviewing the existing literature , particularly focusing on QA frameworks , procedures , and methodology , a process‐oriented model structured around three sequential non‐linear phases is presented : before : planning and analysis ; during : design , prototype and production ; and after : post‐production and delivery . This model is supported by an advanced information system used to organize , track , collect , and generate reports regarding QA changes and needed updates . In this paper , we introduce CapSoles , enabling smart insoles to implicitly identify who is walking on what kind of floor . Our insole prototype relies on capacitive sensing and is able to sense plantar pressure distribution underneath the foot , plus a capacitive ground coupling effect . By using machine-learning algorithms , we evaluated the identification of 13 users , while walking , with a confidence of ∼95 % after a recognition delay of ∼1s . This paper presents methodology and results of the evaluation of wearable physiological sensors under these conditions . The methodology has been applied to a specific textile-based prototype , aimed at the real-time monitoring of rescuers in emergency contexts , which has been developed within a European funded project called ProeTEX . Wearable sensor measurements have been compared with the ones of suitable gold standards through Bland-Altman statistical analysis ; tests were realized in controlled environments simulating typical intervention conditions , with temperatures ranging from 20 ° C to 45 ° C and subjects performing mild to very intense activities . The proposed topology allows wide tuning range and fine-coarse tuning . The design of an integrated DVCO prototype is discussed and results are reported showing good performance in terms of phase noise , tuning range and power consumption . This paper contains a description of the prototype Global Assessor tool being developed by Boeing Phantom Works and Mainstay Software Corporation ( Mainstay ) . The primary purpose of the tool is to support the evaluation of Global Tracking Relay and Control ( TRAC ) Concept implementations being developed by the Phantom Works Joint Mission Study ( JMS ) . This paper presents an extension to the sweep-line method that allows on-the-fly checking of safety properties expressed as sequences of actions of the modelled system . This has been implemented in a prototype sweep-line library for Coloured Petri nets . We evaluate the prototype by applying it to the connection management procedures of the Datagram Congestion Control Protocol , a new Internet transport protocol . Third , cutting is included by employing a physically-inspired influence map that allows for proper handling of material discontinuities that were not present in the original examples . We thoroughly evaluate our method and demonstrate its practical application in a surgical simulator prototype . Hybridization ( through use of hydraulic accumulators ) enables storage and re-use of braking energy recovered from the swing drive ( and in general , from the rotary actuators ) , and drastic engine downsizing . A feasibility study undertaken in simulation showed that with the use of a conservative power management scheme , the DC S-P hydraulic hybrid excavator with 50 % reduced engine power , offered efficiency improvements over the prototype DC excavator . This work focuses primarily on implementable power management schemes for such hybrid hydraulic multiactuator machine systems with reduced engine power . It focuses on discrete time stochastic models and on relating the policy evaluation methods to the geometric approach commonly used in theoretical continuous time models . The exposition centers on a number of specific prototype rational expectations models . These models are useful for motivating the solution methods and are of some practical interest per se . The article presents economic and mathematical models for replacement of prototype of electronic warfare that allow to determine the optimal deadlines for replacement of prototypes in the aspect of costs associated with combat missions . The models corresponding to various strategies of development of the system of electronic warfare of the RF Armed Forces are reviewed , including traditional , innovative and breakthrough models . The cost of our method is therefore independent of the size of the state - action space , and scales only in the number of features . If the feature vectors are sparse , we can maintain a single prototype estimator for all the features that have not yet been observed . Under these conditions our method scales only in the number of observed features . This is not really an issue , since the memory and computational cost mostly rests on the initial levels ; see Section [ reference ] . In practice , we build the prototype dictionary using k - means , as it is designed to minimize the approximation error between input descriptors and resulting centroids ( i.e . prototypes ) . Given a pair of images to match , we perform on - line clustering of all descriptors of atomic patches in the first image . Last but not least , attention has been put to make the interaction style as much coherent as possible with other iOS applications . The paper finally presents a user experiment , carried out with 30 participants according to a between-subject protocol , to evaluate the usability of ImAtHome and compare it with the official app for home automation recently released by Apple . This tutorial is for researchers and engineers , working in the field of Virtual Reality ( VR ) and Augmented Reality ( AR ) , who wish to conduct user-based experiments with a specific aim of promoting both traditional quantitative human-subject experiments and qualitative methods for assessing usability . This tutorial is for a full-day tutorial presenting both quantitative and qualitative approaches to conducting human-subject experiments . As a result of experiment , our proposed interface is better than the AR annotation interface as regards subjective impression and working time . Keyword Outdoor Mixed-Reality , Augmented-Reality annotation , User experiment 1 . はじめに 人々が屋外環境で共同作業を行う場合 , 離れた場所 にいる人に対して注目して欲しい場所を伝えるなど , 空間中の特定の位置への指示を行う場面がある.我々 はこれを3次元位置情報の指示共有と呼び,それを実 現するための手法として,複合現実型ジオラマインタ フェースを提案している [1,2].提案インタフェースで は,スマートフォンやタブレットのようなモバイル端 末を用いて,ユーザに周辺環境の3次元 CG モデル(ジ オラマモデル)を提示する.ユーザがタッチスクリー ンを用いてジオラマモデル上の任意の点にタッチする と,その点が指示位置として入力され,矢印などのア ノテーションが表示される.さらに入力された指示位 置の情報は,無線ネットワークを介して他のユーザが 持つモバイル端末に送信され,指示位置の共有が行わ れる. 提案インタフェースはジオラマモデルを介した間 接的な指示方法であるといえる.ユーザは,ジオラマ モデル上に提示されたアノテーションを見て,それが 現実空間中のどこであるかを理解する.そのため,ユ ーザはジオラマモデルと現実空間とを見比べて,その 対応を把握する必要がある. 一方 , 屋外における位置情報の提示には,拡張現実 感(Augmented Reality ; AR)技術を用いた直接的なア ノテーション提示方法が提案されてきている [ 3,4,6,8 ] . The first of these is a simple , deterministic strategy ; the remaining three strategies are probabilistic , and focus on more realistically approximating a real user . We evaluate four interactive segmentation algorithms using these strategies , and compare the results with our previous user experiment-based evaluation . The results show that automated evaluation is both feasible and useful . The purpose of this paper is to evaluate two aspects of such system focused on children : the influence of the order of recommendations on user exploratory behavior , and the impact of the choice of the recommendation algorithm on engagement . The assessment , based on data collected between 15 October 2018 and 1 December 2018 , required the analysis of the number of clicks performed on the recommendations depending on their ordering , and an A/B/C testing where two standard recommendation algorithms were compared with a random recommendation that served as baseline . The results suggest a direct connection between the order of the recommendation and the interest raised , and the superiority of recommendations based on popularity against other alternatives .
The fitting occurs in real‐time , allowing the user to be only as precise as needed to have a good starting configuration for this non‐convex optimization problem . We evaluate the accessibility of our approach with a user study .
It helps researchers to benefit from the semantically enriched content , e.g. to carry out sophisticated location-based searches . The usability and ease of learning of this web interface were evaluated in a user-based study , the results of which are also reported .
Meanwhile , the details in the highlighted and dark regions were preserved simultaneously . The experimental results demonstrated that our work outperformed the state-of-the-art methods not only in several objective quality measures but also in a user study analysis .
The work described followed a multi-disciplinary approach strongly influenced by Human-Computer Interaction ( HCI ) methodologies . The main contributions of this paper are two-fold and materialize into i ) a user research study that covers aspects such as perception , cognition , mental and psychosocial changes that occur with age and ii ) an example-based description of the process of creating personas . John , the diabetic persona , is the example provided that abstracts the process followed to generate the remaining personas in the project .
The results are mainly based on the evaluation of a prototype that tailors the retrieval of documents from the Web4health portal to users ' characteristics and information needs with the help of a user model . The evaluation is conducted through a user empirical study based on user observation and in-depth interviews .
Specifically , we first briefly introduce the basics of color spaces including color appearance models . In the core of our paper , we survey colormap generation techniques , including the latest advances in the field by grouping these techniques into four classes : procedural methods , user-study based methods , rule-based methods , and data-driven methods ; we also include a section on methods that are beyond pure data comprehension purposes . We then classify colormapping techniques into a taxonomy for readers to quickly identify the appropriate techniques they might use .
Often , evaluators study a computing system inside a laboratory setting to best gain an understanding of the effect of the system when different factors are manipulated . The laboratory setting allows evaluators to create not only the environment , but also the scenario in which a user study of system is conducted . Thus , the laboratory setting allows evaluators to control possible confounding variables and to develop insight about the cause-and-effect of the system when they manipulate specific usage factors .
These authenticatable channels can be used to form a basis for pairing . In this paper , we present the results of a user study of a technique used to pair two devices ( such as two cell phones ) which have good quality output interfaces in the form of a display , speaker , and/or vibration .
This chapter provides a non-technical perspective on the ongoing dialogues between public health and IT researchers , including the recognition that technical merits and novelty alone do not suffice to guarantee or sustain system success ; it instead demands appropriate system design/functionality and sound understanding of user behaviors . System evaluation and user study research thus can play a significant role in infectious disease information research .
The system further benefits from lower cost and easier deployment . To evaluate the green navigation service efficiency , we conducted a user subject study consisting of 22 users driving different vehicles over the course of several months in Urbana-Champaign , IL . The experimental results using the collected data suggest that fuel savings of 21.5 over the fastest , 11.2 percent over the shortest , and 8.4 percent over the Garmin eco routes can be achieved by following GreenGPS green routes .
We conduct the experiment using winter summer translation with the Yosemite dataset . For realism , we conduct a user study using pairwise comparison . Given a pair of images sampled from real images and translated images generated from various methods , users need to answer the question “
Eye tracking has long held the promise of being a useful methodology for human computer interaction . However , a number of barriers have stood in the way of the integration of eye tracking into everyday applications , including the intrusiveness , robustness , availability , and price of eye-tracking systems .
As the eye scans the environment , or focuses on particular objects in the scene , the processor simultaneously localizes the eye position , tracks its position and movement over time , and infers counter measures such as fatigue level , attention level , and gaze direction in real-time and automatically . The focus of this demonstration is placed on four different algorithms : auto-initialization ( RHED ) , eye position tracking ( SIRAT ) , eye closure recognition ( HRA ) , driver head pose categorization .
Measuring pupil diameter through remote eye-tracking instead is an unobtrusive method . However , a practical eye-tracking-based system must also account for pupil changes due to variable lighting conditions . Based on the results of a study with tasks of varying mental demand and six different lighting conditions , we built a simple model that is able to infer the workload independently of the lighting condition in 75 % of the tested conditions .
The general objective of this work is to analyze the use of eye tracking in Brazil to aid in the decision-making process in the advertising field . The specific objectives are : to describe the variables that can be captured by eye tracking tools and the data that can be obtained from them ; to make a bibliographical survey of the benefits and limitations of the eye tracking tool ; understand how the data collected through an eye tracking tool can contribute to the decision making in advertising and possible applications in this field . This qualitative research , from bibliographical research and content analysis , investigated articles published in periodicals from 2010 to 2017 on this topic .
In this paper , an individual human computer interface system using eye motion tracking is introduced . Traditionally human computer interface uses mouse , keyboard as an input device .
The evolutionary algorithm is responsible for exploring the genotype control space , and the reinforcement learning algorithm organizes the evolved genotype into a reactive phenotype . The evolutionary algorithm encodes an eye-tracking scheme as a genetic code based on image variation analysis . Then , the reinforcement learning algorithm defines internal states in a phenotype control space limited by the perceived genetic code and carries out interactive adaptations .
Each Scheimpflug imaging system can have respective video cameras and optics configured to direct light reflected from an eye into the video cameras . The apparatus can also have a movable platform configured to move the pair of Scheimpflug imaging systems in accordance with eye movement detected by an eye tracking imaging system . In some embodiments , the Scheimpflug imaging systems can rotate 90 degrees about an optical axis of an eye being examined .
The apparatus for driving a wiper of a vehicle by using eyes of a driver and the method thereof are capable of securing a sight of a driver by driving a wiper by adapting the wiper for the amount of rainfall and the amount of snowfall since the wiper is driven when the eyes of the driver focus on a windshield of the vehicle by tracing the eyes of the driver by using 3D eye tracer technique . The apparatus for driving a wiper of a vehicle by using eyes of a driver comprises : an eye tracking part for tracking eyes of a driver ; a controlling part for controlling a wiper driving part to drive the wiper when the eyes of the driver tracked by the eye tracking part focus on a windshield of the vehicle ; and the wiper driving part for driving the wiper under the control of the controlling part . [ Reference numerals ] ( 10 ) Eye tracking part;(20 ) Controlling part;(30 ) Wiper driving part
Eye state tracking for driving is the key problem in fatigue detection , and it has been proved to be effective and popular method in fatigue driving . In this paper , we present a new algorithm framework for fatigue driving .
Advanced translation workbenches with detailed logging and eye-tracking capabilities greatly facilitate the recording of key strokes , mouse activity , or eye movement of translators and post-editors . The large-scale analysis of the resulting data logs , however , is still an open problem .
The paper presents a study that evaluates the perception of ( novice ) evaluators on Nielsen ’s usability heuristics . A standard survey was applied in five experiments .
More specifically , it discusses H 's claim that the principle of CrossCategory Harmony can shed light on the proper formulations of the X ' schemas of generative grammar . Finally , it is shown how survey studies of word order can be relevant to forming initial hypotheses about certain properties of grammar , and how the study of language typology might proceed within the generative framework . *
In each case study , use of multi-image photogrammetry has allowed for better , faster and more cost-effective results than would otherwise have been possible . Case studies include a survey of an Iron Age fort , a rapid survey of exposed segments of an intertidal wreck , both commissioned for heritage management purposes and a community survey of a 17th century gravestone undertaken by children under the age of 16 . Finally the obstacles to wider adoption in the contract-led sector are discussed and it is argued that a concerted approach is required to create and disseminate simple and reliable workflows .
Taking journals collected by Pudong Library as research samples , this paper makes a study of the classification and gradation of journals , puts forward the basis and method . It also puts forward the construction of regular readers survey system , multi-level journals recommended reading models and diversity journals recommended reading channels . The purpose is to establish a set of scientific , systematic , operable public library journals rec-ommended reading system .
For that , the methodology applied began by developing a digitalization management framework , with seventeen questions concerning eight organizational dimensions and the adoption of technological innovations . The framework passed by an evaluation process and went available for collecting data of small enterprises through digital survey platform , sent by e-mail . The framework application permitted us to characterize 346 companies in São Paulo , from those 77 were industries , our focus on this paper .
Results from a social survey of reaction to aircraft noise are used to investigate the effectiveness of various measures of noise exposure . The measures tested include the equal energy index , models involving a logarithmic trade-off of noise level and number of events , “ peak-level ” models and other non-standard noise descriptors .
Thirteen of the twenty-five students completing the surveys and case assignments also volunteered to take part in in-depth interviews ( Appendix C ) about their experiences with the automatic essay scorer . The thirteen possible interviewees were sorted into different types of users according to a ) their opinions of the automated scorer ( taken from post-assignment survey ) , b ) actual essay scores assigned by the instructor , and c ) average number of drafts they completed per response section for both cases . The thirteen volunteers were distributed across five of these typologies ( see Table 1 ) and four students , representing types A , C , F , and G , participated in interviews .
Three areas of research investigating ( i ) author and reader attitudes and behaviours , ( ii ) article-level usage at repositories and publisher platforms , and ( iii ) the economics of large-scale archiving have been commissioned and are producing results . The baseline behavioural survey identified an increasing general awareness of open access , but a lower awareness of institutional and subject repositories . Perceptions were also found to vary depending on whether individuals were responding from an author or reader perspective .
The research method used is descriptive method with quantitative approach . Shape survey ( survey study ) . The study sample as many as 78 students .
The author investigated the applications of deep learning technology for mining cycle that is divided into investigation , exploration , development , mine operation , and disaster analysis . In the survey and exploration phase , a number of studies have been proposed to carry out mineral potential mapping by integrating geochemical and geophysical explorations , geological maps , fault lines , and topographic information . In the mine development and management phase , studies on autonomous situation detection , automatic calculation , and equipment control were carried out using mine status data measured by sensors or cameras .
Understanding travel behaviour and travel demand is of constant importance to transportation communities and agencies in every country . Nowadays , attempts have been made to automatically infer transportation modes from positional data , such as the data collected by using GPS devices so that the cost in time and budget of conventional travel diary survey could be significantly reduced . Some limitations , however , exist in the literature , in aspects of data collection ( sample size selected , duration of study , granularity of data ) , selection of variables ( or combination of variables ) , and method of inference ( the number of transportation modes to be used in the learning ) .
To understand travel behaviour , some standard data collection practices have been in place in order to collect travel data . Among these practices are GPS - based travel surveys , where participants carry a GPS device for a certain duration of time and following this up by a prompt recall survey to report trip information , such as the transportation modes they used in every trip ( e.g. cycle , walk , bus and so forth ) ( Stopher , 2008 ) . Yet , many studies have reported high underreporting rates due to the participants ’ burden to fill in daily details of their activities ( Bricka & Bhat , 2006 ) .
2.1 . Travel survey definitions In order to de - construct a GPS track , some definitions have been standardised to be used for the description of different fragments of the trip .
Web log Analyzer helps us to analyze user behavior that contain information namely IP address , user name , number of hits , files , visit , bytes transferred and uniform resource locator ( URL ) that referred . It is very meaningful to have Web Log Analyzer tools which help us in knowing the emerging trends of electronic commerce and user with an approach of Web analytics . This paper states various Web Log Analyzer tools to analyze behavior of user .
With the emergence of the World Wide Web , analyzing and improving Web communication has become essential to adapt the Web content to the visitors ' expectations . Web communication analysis is traditionally performed by Web analytics software , which produce long lists of page-based audience metrics . These results suffer from page synonymy , page polysemy , page temporality , and page volatility .
The fifth part of the tutorial will cover other application examples of deep learning . These include object segmentation and action recognition from videos [ 9 ] , web data analytics , and wearable/IoT sensor data modeling for smart services .
To mitigate this issue , a Topic Maps-based semantic platform was developed at the Antwerp University Hospital to assist in the recruitment of clinical trial participants from the full patient population . The platform consists of ( 1 ) a Web-based editor for the creation of ontology-based clinical trial representations , ( 2 ) a patient evaluator that connects to structured and unstructured hospital data sources to determine eligibility for a clinical trial , and ( 3 ) a Web-based analytics module for reviewing evaluation results . The semantic nature of the clinical trial representation allows for generic formalization as well as for local adaptation of the study protocol to accommodate a specific hospital IT infrastructure .
The collected data can be explored by users with the web interface . The framework has also been integrated with two major web analytics solutions in the market . Namely , Google Analytics and Adobe SiteCatalyst .
Malwareless Web-analytics pollution ( MWAP ) attack is a type of cross-site attack that has been recently identified and discussed in [ 1 ] . The main aim of this attack is to distort the Web-site access logs of the victim/target company , and through that also distort this company 's Web-based data analytics as well as its overall business performance . The key characteristics of the MWAP attack is that it is very easy to execute , as it does not involve the use of any malware , and it can be preformed simply by luring a set of random third-party users into visiting a specially crafted decoy Web-page .
Users invest time , attention , and emotion into them . User engagement is measured in many ways , through methods of self-reporting ( e.g. , questionnaires ) , observer methods ( e.g. , facial expression analysis , speech analysis , desktop actions , etc . ) , neuro-physiological signal processing methods ( e.g. , respiratory and cardiovascular accelerations and decelerations , muscle spasms , etc . ) , and from a web analytics perspective ( through online behavior metrics that assess users ' depth of engagement with a site ) . These methods represent various tradeoffs between scale of data and depth of understanding ( for instance , surveys are s ...
It is followed by a particular procedure of proposal and realization of internet business . The final part of the thesis deals with web analytics processing in e-business systems .
GoogleTM Analytics is an easy-to-use Web analytics program that gives you insight into Web site traffic . Many Extension programs use the Web to distribute information .
Automatic evaluation procedures will be provided . Submitted results will also be subject to human evaluation . The present proposal is tentative in two different ways .
Furthermore , the system is open source and uses a modular design , which makes it relatively easy for people to add extensions . Human-based evaluation shows that people are generally positive towards PASS in regards to its clarity and fluency , and that the tailoring is accurately recognized in most cases .
Existing automated metrics like pSNR , SSIM and MS - SSIM have been shown to not correlate with perceptual image quality PixelRecursiveSuperResolution . Hence , we conducted a human evaluation study on Amazon Mechanical Turk where each worker is required to make a binary choice when shown one generated and one real image . Following the same procedure for the evaluation study as , we show pairs of images , selected randomly from the validation set , to workers each .
section : Human Evaluation We also undertook two human evaluation studies , using Amazon Mechanical Turk . The first study attempted to determine whether generations considered to be more precise by our metrics were also considered more precise by human raters .
Table 1 shows the various normalized scores for null op evaluation . Table 2 shows the various normalized scores for human start evaluation . Table 3 shows the various raw scores for human start evaluation .
This research is part of a research trilogy that investigated issues impacting Interactive White Board Technology ( IWBT ) adoption and use in a higher education institution . The other two research studies in this trilogy used ( 1 ) focus group approach and ( 2 ) survey research to identify such impacting factors . One major insight from these two studies suggested that aspects concerning IWBT limited use and integration in the classroom .
We believe that using archetypes in user research gives us a better view of behavior in interaction design of rehabilitation systems and provide developers with a model to validate interactive elements in stroke rehabilitation systems and user flows at a macro level . In this paper , a user study was designed to be conducted to validate behavioral archetypes of these groups through interviews and focus group sessions with different physicians , therapists and caregivers in rehabilitation centers .
The analysis of each of its components on the developed scale allows to reveal the degree of cluster initiative implementation , as well as to determine the most effective support measures based on the state of the cluster competitive advantages . The determination of cluster competitive advantages is carried out by the method of focus group conduct among experts , and their quantitative assessment is carried out using the questionnaire method , which gives the assessment of implementation and importance . The developed methodology can be used to develop normative and strategic programs for the formation and the functioning of industrial clusters , the development of which corresponds to the implementation of import substitution processes and the transition of Russia to an innovative type of development .
This research has the potential to improve our understanding of challenges and solutions in M&A activity , we attend to this potential through an explorative research approach .. In this paper , we adopted the focus group gathering technique ( new method ) , specifically a ‘ less-structured ’ focus group process as well as the KJ method for analysis . We also used technology intensive companies as the research context ( new industry domain ) as they represent an unexplored industry with the potential for new knowledge according to Toppenberg & Henningsson ( 2013 ) .
Brown University Library hired a professional marketing and opinion research firm to conduct focus group meetings with library users and to provide data analysis . The discussion includes a review of the library literature on focus group use , practical aspects of focus group methodology , and the benefits of employing professionals where librarian expertise is low . Logistics of focus group preparation , meetings , and report are discussed .
As a dynamic and iterative process , quality assurance ( QA ) is intertwined with the e‐learning development process . Design/methodology/approach – After reviewing the existing literature , particularly focusing on QA frameworks , procedures , and methodology , a process‐oriented model structured around three sequential non‐linear phases is presented : before : planning and analysis ; during : design , prototype and production ; and after : post‐production and delivery . This model is supported by an advanced information system used to organize , track , collect , and generate reports regarding QA changes and needed updates .
In this paper , we introduce CapSoles , enabling smart insoles to implicitly identify who is walking on what kind of floor . Our insole prototype relies on capacitive sensing and is able to sense plantar pressure distribution underneath the foot , plus a capacitive ground coupling effect . By using machine-learning algorithms , we evaluated the identification of 13 users , while walking , with a confidence of ∼95 % after a recognition delay of ∼1s .
This paper presents methodology and results of the evaluation of wearable physiological sensors under these conditions . The methodology has been applied to a specific textile-based prototype , aimed at the real-time monitoring of rescuers in emergency contexts , which has been developed within a European funded project called ProeTEX . Wearable sensor measurements have been compared with the ones of suitable gold standards through Bland-Altman statistical analysis ; tests were realized in controlled environments simulating typical intervention conditions , with temperatures ranging from 20 ° C to 45 ° C and subjects performing mild to very intense activities .
The proposed topology allows wide tuning range and fine-coarse tuning . The design of an integrated DVCO prototype is discussed and results are reported showing good performance in terms of phase noise , tuning range and power consumption .
This paper contains a description of the prototype Global Assessor tool being developed by Boeing Phantom Works and Mainstay Software Corporation ( Mainstay ) . The primary purpose of the tool is to support the evaluation of Global Tracking Relay and Control ( TRAC ) Concept implementations being developed by the Phantom Works Joint Mission Study ( JMS ) .
This paper presents an extension to the sweep-line method that allows on-the-fly checking of safety properties expressed as sequences of actions of the modelled system . This has been implemented in a prototype sweep-line library for Coloured Petri nets . We evaluate the prototype by applying it to the connection management procedures of the Datagram Congestion Control Protocol , a new Internet transport protocol .
Third , cutting is included by employing a physically-inspired influence map that allows for proper handling of material discontinuities that were not present in the original examples . We thoroughly evaluate our method and demonstrate its practical application in a surgical simulator prototype .
Hybridization ( through use of hydraulic accumulators ) enables storage and re-use of braking energy recovered from the swing drive ( and in general , from the rotary actuators ) , and drastic engine downsizing . A feasibility study undertaken in simulation showed that with the use of a conservative power management scheme , the DC S-P hydraulic hybrid excavator with 50 % reduced engine power , offered efficiency improvements over the prototype DC excavator . This work focuses primarily on implementable power management schemes for such hybrid hydraulic multiactuator machine systems with reduced engine power .
It focuses on discrete time stochastic models and on relating the policy evaluation methods to the geometric approach commonly used in theoretical continuous time models . The exposition centers on a number of specific prototype rational expectations models . These models are useful for motivating the solution methods and are of some practical interest per se .
The article presents economic and mathematical models for replacement of prototype of electronic warfare that allow to determine the optimal deadlines for replacement of prototypes in the aspect of costs associated with combat missions . The models corresponding to various strategies of development of the system of electronic warfare of the RF Armed Forces are reviewed , including traditional , innovative and breakthrough models .
The cost of our method is therefore independent of the size of the state - action space , and scales only in the number of features . If the feature vectors are sparse , we can maintain a single prototype estimator for all the features that have not yet been observed . Under these conditions our method scales only in the number of observed features .
This is not really an issue , since the memory and computational cost mostly rests on the initial levels ; see Section [ reference ] . In practice , we build the prototype dictionary using k - means , as it is designed to minimize the approximation error between input descriptors and resulting centroids ( i.e . prototypes ) . Given a pair of images to match , we perform on - line clustering of all descriptors of atomic patches in the first image .
Last but not least , attention has been put to make the interaction style as much coherent as possible with other iOS applications . The paper finally presents a user experiment , carried out with 30 participants according to a between-subject protocol , to evaluate the usability of ImAtHome and compare it with the official app for home automation recently released by Apple .
This tutorial is for researchers and engineers , working in the field of Virtual Reality ( VR ) and Augmented Reality ( AR ) , who wish to conduct user-based experiments with a specific aim of promoting both traditional quantitative human-subject experiments and qualitative methods for assessing usability . This tutorial is for a full-day tutorial presenting both quantitative and qualitative approaches to conducting human-subject experiments .
As a result of experiment , our proposed interface is better than the AR annotation interface as regards subjective impression and working time . Keyword Outdoor Mixed-Reality , Augmented-Reality annotation , User experiment 1 . はじめに 人々が屋外環境で共同作業を行う場合 , 離れた場所 にいる人に対して注目して欲しい場所を伝えるなど , 空間中の特定の位置への指示を行う場面がある.我々 はこれを3次元位置情報の指示共有と呼び,それを実 現するための手法として,複合現実型ジオラマインタ フェースを提案している [1,2].提案インタフェースで は,スマートフォンやタブレットのようなモバイル端 末を用いて,ユーザに周辺環境の3次元 CG モデル(ジ オラマモデル)を提示する.ユーザがタッチスクリー ンを用いてジオラマモデル上の任意の点にタッチする と,その点が指示位置として入力され,矢印などのア ノテーションが表示される.さらに入力された指示位 置の情報は,無線ネットワークを介して他のユーザが 持つモバイル端末に送信され,指示位置の共有が行わ れる. 提案インタフェースはジオラマモデルを介した間 接的な指示方法であるといえる.ユーザは,ジオラマ モデル上に提示されたアノテーションを見て,それが 現実空間中のどこであるかを理解する.そのため,ユ ーザはジオラマモデルと現実空間とを見比べて,その 対応を把握する必要がある. 一方 , 屋外における位置情報の提示には,拡張現実 感(Augmented Reality ; AR)技術を用いた直接的なア ノテーション提示方法が提案されてきている [ 3,4,6,8 ] .
The first of these is a simple , deterministic strategy ; the remaining three strategies are probabilistic , and focus on more realistically approximating a real user . We evaluate four interactive segmentation algorithms using these strategies , and compare the results with our previous user experiment-based evaluation . The results show that automated evaluation is both feasible and useful .
The purpose of this paper is to evaluate two aspects of such system focused on children : the influence of the order of recommendations on user exploratory behavior , and the impact of the choice of the recommendation algorithm on engagement . The assessment , based on data collected between 15 October 2018 and 1 December 2018 , required the analysis of the number of clicks performed on the recommendations depending on their ordering , and an A/B/C testing where two standard recommendation algorithms were compared with a random recommendation that served as baseline . The results suggest a direct connection between the order of the recommendation and the interest raised , and the superiority of recommendations based on popularity against other alternatives .
Geosemantic Snapping for Sketch‐Based Modeling Semantic Enrichment and Search: A Case Study on Environmental Science Literature An Adaptive Exposure Fusion Method Using Fuzzy Logic and Multivariate Normal Conditional Random Fields Human-computer interaction and the older adult: an example using user research and personas Medical Information Portals: An Empirical Study of Personalized Search Mechanisms and Search Interfaces A Survey of Colormaps in Visualization CONTROLLED STUDIES OUTSIDE OF THE LAB Pairing Devices with Good Quality Output Interfaces System Evaluation and User Technology Adoption Experiences with GreenGPS—Fuel-Efficient Navigation Using Participatory Sensing Diverse Image-to-Image Translation via Disentangled Representations openEyes: a low-cost head-mounted eye-tracking solution Efficient Real-Time Algorithms for Eye State and Head Pose Tracking in Advanced Driver Support Systems A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions Eye tracking: possibilidades de uso da ferramenta de rastreamento ocular na publicidade EYE BASED CONTROL SYSTEM Evolutionary adaptive eye tracking for low-cost human computer interaction applications Dual shine proof system for 3D eye analysis Apparatus for driving wiper of vehicle using driver gaze and method thereof A New Algorithm for Fatigue Detection in Driving Statistical Modelling and Automatic Tagging of Human Translation Processes Usability Heuristics: Reinventing the Wheel? Surface Word-Order Typology and Universal Grammar Multi-image photogrammetry as a practical tool for cultural heritage survey and community engagement The Construction of Journals Recommended Reading System of Public Libraries A Proposed Framework to Identify Digital Transformation Maturity in Small Industries Comparison of the effectiveness of measures of aircraft noise exposure by using social survey data Formative Feedback Via An Automated Essay Scorer: Its Impact On Learners PEER: green open access - insight and evidence DESKRIPSI KEBUTUHAN SISWA TENTANG LAYANAN INFORMASI BIDANG PRIBADI PADA KELAS X SMKN 5 PONTIANAK Case Analysis of Applications for Deep Learning Technology in the Mining Industry Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification Web log analyzer tools: A comparative study to analyze user behavior Category-Based Audience Metrics for Web Site Content Improvement Using Ontologies and Page Classification Deep Learning for the Web PASTEL: A Semantic Platform for Assisted Clinical Trial Patient Recruitment A Framework for Aligning Social Media and Web Analytics Data to Support Search Engine Marketing Malwareless Web-Analytics Pollution (MWAP): A Very Simple Yet Invincible Attack User engagement in the digital world Ontologické modely pro webové portály Tracking the impact of your web-based content A Proposal for a Spanish Surface Realization Shared Task PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences Image Transformer Challenges in Data-to-Document Generation Massively Parallel Methods for Deep Reinforcement Learning Pedagogy and interactive white board technology integration in higher education institutions: Computer-based teaching scenario protoypes Behavioral Archetypes for Stroke Rehabilitation Technologies Development of competitive advantage evaluation technique for industrial clusters on the basis of m. porter's national competitiveness model "Rhombus" transformation Expanded Understanding of IS/IT Related Challenges in Mergers and Acquisitions: Methods & Research Context Using a Professional Moderator in Library Focus Group Research E-Learning Quality Assurance: A Process-Oriented Lifecycle Model. CapSoles: who is walking on what kind of floor? Assessment of Sensing Fire Fighters Uniforms for Physiological Parameter Measurement in Harsh Environment Fully integrated coarse-fine wideband distributed voltage controlled oscillator Global Assessor: transformational tools for transformational missions Checking safety properties on-the-fly with the sweep-line method Data-Driven Simulation of Detailed Surface Deformations for Surgery Training Simulators PhD theses completed in 2014 New econometric approaches to stabilization policy in stochastic models of macroeconomic fluctuations ЭКОНОМИКО-МАТЕМАТИЧЕСКИЕ МОДЕЛИ РЕАЛИЗАЦИИ РАЗЛИЧНЫХ СТРАТЕГИЙ РАЗВИТИЯ СИСТЕМЫ ВООРУЖЕНИЯ РАДИОЭЛЕКТРОННОЙ БОРЬБЫ Count-Based Exploration in Feature Space for Reinforcement Learning DeepMatching: Hierarchical Deformable Dense Matching ImAtHome: Making trigger-action programming easy and fun Quantitative and Qualitative Methods for Human-Subject Experiments in Virtual and Augmented Reality Instructors: Evaluation of Mixed-Reality Diorama Interface by Pose Scouting of Outdoor Surveillance Camera Toward automated evaluation of interactive segmentation Data-Driven Interaction Review of an Ed-Tech Application
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