Reviewerly/exHarmony huggingface dataset:
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution

It is widely agreed that reference-based super-resolution (RefSR) achieves superior results by referring to similar high quality images, compared to single image super-resolution (SISR). Intuitively, the more references, the better performance. However, previous RefSR methods have all focused on single-reference image training, while multiple reference images are often available in testing or practical applications. The root cause of such training-testing mismatch is the absence of publicly available multi-reference SR training datasets, which greatly hinders research efforts on multi-reference super-resolution. To this end, we construct a large-scale, multi-reference super-resolution dataset, named LMR. It contains 112, 142 groups of 300×300 training images, which is 10× of the existing largest RefSR dataset. The image size is also some times larger. More importantly, each group is equipped with 5 reference images with different similarity levels. Furthermore, we propose a new baseline method for multi-reference super-resolution: MRefSR, including a Multi-Reference Attention Module (MAM) for feature fusion of an arbitrary number of reference images, and a Spatial Aware Filtering Module (SAFM) for the fused feature selection. The proposed MRefSR achieves significant improvements over state-of-the-art approaches on both quantitative and qualitative evaluations. Our code and data are available at: https://github.com/wdmwhh/MRefSR.
Optimasi Sumberdaya Air dengan Program Linear (Linear Programming) di DAS Cicatih, Kabupaten Sukabumi, Jawa Barat

The used of water in Indonesia for various using disposed exceed water supply. One of the efforts to optimize limited water resources is optimimation watershed management with linear programming. Identification of surface water potential in Cicatih watershed, especially in sub-watershed of upper Cicatih, Cibojong river, estimate using GR4J model. This research using discharge data from PLTA Ubrug. Springwater identified based on data from DISTAMBEN. The observation discharge average in Cibojong river was 246 l/s/day and based on GR4J model was 2752 l/s/day. Avaiable discharge was 56241 l/s/day. Grow of the population estimated by exponent method, industry and irrigation area with regression linear. Software Lingo 8.0 was used to help optimize of wáter resources in Cicatih watershed. Based on the result, in 2025, 12 industries and 15784 ha area get the wáter allocation from surface water. About 1083817 people and 75402 ha area get from springwáter. The cost to access surface wáter is higher than in other sectors. It causes the industry to gets an allocation from surface wáter.
A Qualitative Traffic Sensor based on Three-Dimensional Qualitative Modeling of Visual Textures of Traffic Behavior

This paper introduces a camera-based traffic sensor which uses qualitative image processing to provide a qualitative description of the state of traffic. The video input is processed by means of a temporal Gabor transform, and qualitative traffic textures are recognized in the temporal Gabor space. The resulting qualitative traffic textures are matched with a qualitative model of urban traffic behavior in video sequences, in order to obtain the qualitative description of traffic behavior which better explains the observed textures. The matching process is performed focusing only in discriminant regions of the video space, which are obtained from the envision graph of the qualitative model, resulting in a great gain in performance. The proposed method obtains an exceptionally good response to low or null movement congestive situations, which most state-of-the-art camera traffic sensors based on movement analysis fails to perform.
SERVANT LEADERSHIP AND PERCEIVED CHALLENGES IN STEM CLASSES: THE REINFORCING ROLE OF PROBLEMS AND MANAGEMENT TECHNIQUES

Purpose: This study investigates how high school principals’ leadership can directly and indirectly affect perceived challenges (obstacles) in STEM classes, with specific reference to teachers in Qatar.Design/methodology/approach: A large convenience sample of 424 high school STEM teachers in Qatar was surveyed. Using SPSS and two suitability tests—the Kaisers-Meyer-Olkin (KMO) measure of sampling adequacy and the Bartless test of sphericity—the researcher established the construct validity of the instrument. The 11 extracted dimensions were found to be reliable and valid.Main Findings: Findings from a regression analysis show that only 3 out of 11 independent variables are significant in predicting perceived challenges (obstacles) in STEM classes with specific reference to teachers in Qatar. In addition, results of the path causal model reveal that the direct effect of each explanatory variable is strengthened via the effect of the other independent variables.Practical implications: Findings of this investigation provide strategic insights and practical thinking that have important implications for understanding and overcoming challenges (obstacles) in STEM classes as perceived by teachers in Qatar. Moreover, this paper contributes to the limited knowledge about the direct and indirect effects of leadership on such challenges via strategic variables such as classroom problems and classroom management techniques.Originality: Empirically, this article bridges the gap between three fields: leadership, classroom management, and STEM education.
Facial Recognition System Screening Evaluation Methodology for Complexion Biases

Over the years, Facial Recognition Systems (FRS) have come under scrutiny from watchdog groups who voice their complaints concerning the potential existence of a FRS bias towards certain cultures of people while such systems are generally deployed in security screening situations.To better understand this potential FRS bias, researchers examine a theory developed from the behavioral sciences known as the "other-race effect."FRS researchers have also used the "other-race effect" theory in an attempt to explain the occurrence of biases associated with algorithms tested during the Face RecognitionVendor Test of 2006.In this paper, we develop a scientific testing methodology based on the factors of illumination, distance, and angle to evaluate whether or not a chosen FRS exhibits a significant bias when presented with two dissimilar three dimensional (3D) facial models for comparison.To test our methodology, we compare a light complexion (3D) facial model with a medium complexion 3D facial model.Our methodology will incorporate a full factorial experiment and Design of Experiments (DOE) Pro statistical software for data processing.Multiple regression and ANOVA are also used to analize the results.This testing methodology has been incorporated in our academic programs and implemented in different Biometric Security and DOE course projects.
Justifying Collection Budgets: Indexing Materials Costs

The author, Collection Development Officer presents an exemple of new practices in acquisitions budgeting through a discussion of the Ohio State University libraries indexing system
A Collaborative Curriculum Development To Improve Chinese Student Learning Outcomes

This paper presents an initiative of an engineering curriculum enhancement and an example of collaborative junior student's project development, based on the enhanced curriculum.The main goal of this research is to integrate the best practices from the American engineering education programs into existing engineering curriculum, and to study the effectiveness of the enhancement, made up of a number of new focus areas in critical thinking and practical problem solving.The research is carried out to study the feasibility and effectiveness of newly designed project collaborations between an American professor and a Chinese student, involved in a junior project.American professor helps to integrate successful American engineering education experiences into Chinese undergraduate engineering curriculum, and guides Chinese students in the project development to enforce the new enhancements in the student's project.This study executes a comprehensive test plan in a junior software development project, to research the feasibility of the curriculum enhancement.Also, it measures the effectiveness of student learning in the areas of critical thinking and practical problem solving.Modifications of teaching methods are made as the project progresses.At the end of the project student learning performance is evaluated, using various methods, such as observation, interview, survey and report.The survey results are processed with the help of statistical methods and software.Calculated results are analyzed to measure effectiveness of curriculum enhancements, to assist Chinese engineering students in learning, in the areas of critical thinking and practical problem solving.Then, the results are utilized to create new guidelines for future curriculum improvement.Some drawbacks are also discovered while doing survey analysis, and future improvement plan is recommended.
The individual is unthinkable without society

In this article, the author explores the relationship between society and the individual. According to the researcher, society is the highest form of organization of the individual activities and while interacting with society, we are bound to accept his immutable laws and unconsciously adhere to them in the course of any activity. The author explores the question of consciousness programming information obtained as a result of social interaction.
A Method To Evaluate Relative Instructional Efficiencies Of Design Activities For Product Platform Planning

Her research interests focus on developing modeling systems that
Software Development Laboratory: A Retrospective

At Milwaukee School of Engineering(MSOE), undergraduate students work on a one academic year (three quarters) Software Development Laboratory (SDL) course sequence in their junior/senior year.SDL was created with a vision of providing a "real-life" team experience to students where they could unite theory and practice while working on large scale ongoing projects in the context of a standardized development process.This paper presents a retrospective on the pedagogical philosophy of the SDL and the specific challenges that we are currently facing in executing this philosophy.This paper is meant to start a debate in the SE education community on whether the issue is the philosophy itself, its implementation or how we are measuring (or not measuring) "success".This paper most likely raises more questions than it answers.
Common Cyber Situational Awareness: An Important Part of Modern Public Protection and Disaster Relief

European Public Protection and Disaster Relief (PPDR) services such as law enforcement, firefighting, emergency medical and disaster recovery services have recognized that the lack of interoperability of technical systems limit the cooperation between authorities. Also Finnish PPDR authorities and politicians have recognized the importance of a common situational awareness in preparation for the future. When the purpose is to work effectively towards a common goal or solve various challenges, accurate and reliable information as a basis for situational awareness is needed. Cyber situational awareness is the part of situational awareness which concerns the “cyber” environment. Such situational awareness can be reached, e.g., by the use of data from IT sensors that can be fed to a data fusion process or be interpreted directly by the decision-maker. This study was conducted on the ground by visiting situation and command centers located in the Turku area in Southwestern Finland. The Southwestern Finland Police department, the Southwest Finland Emergency Services, the Hospital District of Southwest Finland and the Finnish Border Guard in Turku have their own situation/ command centers. The main purpose of the study was to find out local level factors which affect to utilization of situational awareness system. The aim was also to research the level of preparedness in regional administration including local PPDR departments. The main results can be summarized so that the operational field work of the PPDR authorities should be more standardized so that implementing new technology would be profitable. The lack of cooperation between situation centers prevent to create common situational awareness. In the future, cyber situational awareness can play an important role in emergency and crisis management because the scene of PPDR will increasingly often be a cyber-physical system.
Work in Progress: Development of an Android-based Student Mobile Application for the AIChE Concept Warehouse

His Ph.D used written explanations to concept questions to investigate technology mediated active learning in the undergraduate chemical
On-Line Teaching as a Tool for Global Engineering Education: From the Experiences of the Global Education Center for Engineers, South Korea

Since its origin, on-line education has been regarded within the higher education community as second rate.In recent years, however, there has been some renewed attention to its utility, especially with MIT's efforts in making its educational content freely available on-line.Based on the experiences of South Korea's Global Education Center for Engineers (GECE), this presentation will argue that on-line education has a large potential to be an effective tool in the training of "global" engineers.Since 2008, the GECE has offered on-line courses within our network of South Korean universities, with a focus on liberal education (e.g., engineering communications, engineering ethics and leadership, technology and entrepreneurship) and capstone design.While the bulk of GECE's network is domestic, we have wrought some ties with Pennsylvania State University, Oxford University, and Smith College.We envision that the expansion of the network to additional universities outside of Korea may be beneficial not only to us, but also to our counterparts, as students gain the opportunity to work with peers from different socio-cultural backgrounds.This presentation will include a short history of the GECE, samples of the center's recent educational activities, and future outlook, especially regarding the potential of on-line teaching as a tool for training globalized engineers. .
Using A Delphi Study To Define A Curriculum For Service Systems Engineering

The U.S. economy has gradually changed from one based in agriculture, to one focused on manufacturing, to one now that relies heavily on the service sector.The service sector, including governmental agencies, retail stores, the entertainment business, public utilities, and providers of similar services, now makes up more than 80% of the total U.S. economy.Engineering programs, which typically have their roots in the era of manufacturing, have a focus on the design and fabrication of "products" rather than the design and creation of service systems.While curricula such as engineering management and industrial engineering provide some support to service systems engineering, their legacies are tied to the manufacturing sector, and as a result, they are not optimized to support the service sector.With this in mind, a Delphi Study was performed to identify the features, characteristics, and topics relevant to a service systems engineering curriculum.This paper describes the planning, conduct, and results of the service systems engineering Delphi Study and how this information is being used to establish a new degree program.
Developing A Software Engineering Technology Program

is developing a new program in the emerging discipline of Software Engineering Technology (SET).It was conceived on the basis of three major factors: industrial demand within the region and state, the small number of qualified graduates available to enter the workforce, and the increasing pool of potential students.Some of the projected activities in the planning process include visiting nationwide university campuses that currently have SET programs, identifying new laboratory equipment needs, setting up an advisory board, creating a recruitment plan, and obtaining ABET accreditation.This paper will document this planning process.Funds from the National Science Foundation (NSF), in form of a recently approved grant proposal, will facilitate the planning process for this program.Some of the components of the curriculum design to be developed will include integrating new learning strategies and problem solving techniques, obtaining an active role of regional industry, and creating aggressive nontraditional student recruitment and retention plans.The incipient construction of a new building to host the recently formed School of Computing and Engineering Sciences will provide a state-of-the-art facility to house the SET program.The new building has been designed keeping in
Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning

The accurate segmentation of the brain surface in post-surgical computed tomography (CT) images is critical for image-guided neurosurgical procedures in epilepsy patients. Following surgical implantation of intracranial electrodes, surgeons require accurate registration of the post-implantation CT images to the pre-implantation functional and structural magnetic resonance imaging to guide surgical resection of epileptic tissue. One way to perform the registration is via surface matching. The key challenge in this setup is the CT segmentation, where the extraction of the cortical surface is difficult due to the missing parts of the skull and artifacts introduced from the electrodes. In this paper, we present a dictionary learning-based method to segment the brain surface in post-surgical CT images of epilepsy patients following surgical implantation of electrodes. We propose learning a model of locally oriented appearance that captures both the normal tissue and the artifacts found along this brain surface boundary. Utilizing a database of clinical epilepsy imaging data to train and test our approach, we demonstrate that our method using locally oriented image appearance both more accurately extracts the brain surface and better localizes electrodes on the post-operative brain surface compared to standard, non-oriented appearance modeling. In addition, we compare our method to a standard atlas-based segmentation approach and to a U-Net-based deep convolutional neural network segmentation method.
Moderate deviation analysis of majorization-based resource interconversion

We consider the problem of interconverting a finite amount of resources within all theories whose single-shot transformation rules are based on a majorisation relation, e.g. the resource theories of entanglement and coherence (for pure state transformations), as well as thermodynamics (for energy-incoherent transformations). When only finite resources are available we expect to see a non-trivial trade-off between the rate $r_n$ at which $n$ copies of a resource state $\rho$ can be transformed into $nr_n$ copies of another resource state $\sigma$, and the error level $\varepsilon_n$ of the interconversion process, as a function of $n$. In this work we derive the optimal trade-off in the so-called moderate deviation regime, where the rate of interconversion $r_n$ approaches its optimum in the asymptotic limit of unbounded resources ($n\to\infty$), while the error $\epsilon_n$ vanishes in the same limit. We find that the moderate deviation analysis exhibits a resonance behaviour which implies that certain pairs of resource states can be interconverted at the asymptotically optimal rate with negligible error, even in the finite $n$ regime.
Motion Segmentation via Generalized Curvatures

New depth sensors, like the Microsoft Kinect, produce streams of human pose data. These discrete pose streams can be viewed as noisy samples of an underlying continuous ideal curve that describes a trajectory through high-dimensional pose space. This paper introduces a technique for generalized curvature analysis (GCA) that determines features along the trajectory which can be used to characterize change and segment motion. Tools are developed for approximating generalized curvatures at mean points along a curve in terms of the singular values of local mean-centered data balls. The features of the GCA algorithm are illustrated on both synthetic and real examples, including data collected from a Kinect II sensor. We also applied GCA to the Carnegie Mellon University Motion Capture (MoCaP) database. Given that GCA scales linearly with the length of the time series we are able to analyze large data sets without down sampling. It is demonstrated that the generalized curvature approximations can be used to segment pose streams into motions and transitions between motions. The GCA algorithm can identify 94.2 percent of the transitions between motions without knowing the set of possible motions in advance, even though the subjects do not stop or pause between motions.
The Development of an Ingenious Circuit Based on Chemo-Edutainment Learning

One way to solve the problem of chemistry learning is that teachers are expected to have methods, models of teaching and learning, as well as learning media that can choose according to the subject concepts to be conveyed. This research was aimed to develop a learning media called as ingenious circuit, and to describe the activity also users’ feedback on the developed media. The type of research was research and development (R &amp;amp; D). While the used design of development was ADDIE (Analysis, Design, Development, Implementation, and Evaluation) using qualitative methods. The research was conducted in senior high school named SMAN 1 Krueng Barona Jaya in class XI MIA 2 with a number of 20 students. The instruments used to collect the data were a sheet for media validation, questionnaires to measure the response, and the observation sheet to measure student activity during use the developed media. After the ingenious circuit was developed with the phase of ADDIE, the validation results showed that a viable ingenious circuit up to 100 percent on aspects of the format. While the visual aspect, the feasibility of achieving 90.62 percent. In addition, the circuit was also tested for eligibility based on the aspect of clarity in the presentation of the question and the results was found to reach 100 percent, as well as on aspects of functioning or quality of 87.5 percent. This study also found that the response of the students after they used the media, including the highly positive, as much as 90.00 percent. As well as with teachers, the responses were in very good condition, which reached 89.29 percent. In addition, the student activity test results when they use this developed circuit was considered very active, with an average percentage score of 80.57. Based on the overall results of the study, it can be concluded that a series of ingenious circuit could be developed with ADDIE model and feasible to implement in the learning process of colloids. In addition, the responses of students and teachers those who used the circuit were also very positive, especially the students more active in the learning process of colloids