Miracle-dz/UniFAR-FTUs huggingface dataset:
A Real Time Web Integrated Scheduling Support System For A Multi Product Manufacturing Industry

This paper deals with the real time implementation of a web integrated scheduling support system for a multiproduct manufacturing industry. The industry manufactures a wide variety of products ranging from steam turbines, gas turbines to compressors. The product assembly is quite complex, in particular a typical bill of material (BOM) has more than 50 levels. It is obvious that scheduling of these parts on the available resources and out sourcing is a gigantic task. Currently the task of planning and scheduling is being carried out manually and it is consuming several planning months to come up with a workable rather than an optimal/nearoptimal solution. In this context, we have developed a computerized scheduling system that aids in computing the make span for complex job-shop. A priority based scheduling system was developed based on the priorities of the customer. The priority of the customer is fixed considering various factors like due dates, customer influence, and engineering design considerations. The system is developed in two phases. Phase – I involves the development of a stand-alone job-shop scheduling system with make-span minimization as the prime objective. Other objectives like minimizing the maximum lateness/tardiness were also explored. Phase – II involves making the system web enable, which allows the decision makers with the flexibility of distributed decision making.
Efficient and highly available peer discovery: A case for independent trackers and gossiping

Tracker-based peer-discovery is used in most commercial peer-to-peer content distribution systems, as it provides performance benefits compared to distributed solutions, and facilitates the control and monitoring of the overlay. But a tracker is a central point of failure, and its deployment and maintenance incur costs; hence an important question is how high tracker availability can be achieved at low cost. We investigate highly available, low overhead peer discovery, using independent trackers and a simple gossip protocol. This work is a step towards understanding the trade-off between the overhead and the achievable peer connectivity in highly available distributed overlay-management systems for peer-to-peer content distribution. We propose two protocols that connect peers in different swarms efficiently with a constant, but tunable, overhead. The two protocols, Random Peer Migration (RPM) and Random Multi-Tracking (RMT), employ a small fraction of peers in a torrent to virtually increase the size of swarms. We develop analytical models of the protocols based on renewal theory, and validate the models using both extensive simulations and controlled experiments. We illustrate the potential value of the protocols using large-scale measurement data that contains hundreds of thousands of public torrents with several small swarms, with limited peer connectivity. We estimate the achievable gains to be up to 40% on average for small torrents.
Controlling Material Properties in Physical Models of Sounding Objects

Contact sounds can provide information for material perception, and according to previous studies decay seems to be one of the most important cues. This information can be used to tune a physical model to represent various materials. This work deals with a specific class of contact sounds, i.e. collision sounds. A hammer-resonator physical model is developed, and subjective experiments are performed in which listeneres are asked to indicate what material each synthesized sound is coming from. Experiments show that the model is able to convey information about material of the sound source.
A Fast Level-set Approach to Surface Modeling from Unorganized Sample Points

In this paper we propose a novel algorithm for the reconstruction of surfaces from sets of unorganized sample points, based on the temporal evolution of a volumetric function’s level-set. The evolving front can be thought of as the surface that separates two different fluids that obey specific laws of fluid dynamics. One remarkable feature of this approach is its ability to model complex topologies thanks to a novel strategy that allows us to steer the front evolution using Voronoi surfaces in 3D space. Another remarkable feature of this algorithm is its computational efficiency, which proved to between one and two orders of magnitude better than traditional levelset approaches [1]
Deficiency of Interleukin-15 Enhances Susceptibility to Acetaminophen-Induced Liver Injury in Mice

Hepatocytes have a direct necrotic role in acetaminophen (APAP)-induced liver injury (AILI), prolonged secondary inflammatory response through innate immune cells and cytokines also significantly contributes to APAP hepatotoxicity. Interleukin 15 (IL-15), a multifunction cytokine, regulates the adaptive immune system and influences development and function of innate immune cells. To better understand the role of IL-15 in liver injury, we treated wild-type (WT) and IL-15-knockout (Il15−/−) mice with a hepatotoxic dose of APAP to induce AILI and evaluated animal survival, liver damage, APAP metabolism in livers and the inflammatory response. Production of pro-inflammatory cytokines/chemokines was greater in Il15−/− than WT mice. Subanalysis of hepatic infiltrated monocytes revealed greater neutrophil influx, along with greater hepatic induction of inducible nitric oxide synthase (iNOS), in Il15−/− than WT mice. In addition, the level of hepatic hemeoxygenase 1 (HO-1) was partially suppressed in Il15−/− mice, but not in WT mice. Interestingly, elimination of Kupffer cells and neutrophils did not alter the vulnerability to excess APAP in Il15−/− mice. However, injection of galactosamine, a hepatic transcription inhibitor, significantly reduced the increased APAP sensitivity in Il15−/− mice but had minor effect on WT mice. We demonstrated that deficiency of IL-15 increased mouse susceptibility to AILI. Moreover, Kupffer cell might affect APAP hepatotoxicity through IL-15.
Polyhedral Approaches to Machine Scheduling

We provide a review and synthesis of polyhedral approaches to machine scheduling problems. The choice of decision variables is the prime determinant of various formulations for such problems. Constraints, such as facet inducing inequalities for corresponding polyhedra, are often needed, in addition to those just required for the validity of the initial formulation, in order to obtain useful lower bounds and structural insights. We review formulations based on time–indexed variables; on linear ordering, start time and completion time variables; on assignment and positional date variables; and on traveling salesman variables. We point out relationship between various models, and provide a number of new results, as well as simplified new proofs of known results. In particular, we emphasize the important role that supermodular polyhedra and greedy algorithms play in many formulations and we analyze the strength of the lower and upper bounds obtained from different formulations and relaxations. We discuss separation algorithms for several classes of inequalities, and their potential applicability in generating cutting planes for the practical solution of such scheduling problems. We also review some recent results on approximation algorithms based on some of these formulations.
Parallel coupled microstrip filters with floating ground-plane conductor for spurious-band suppression

Floating strip conductors printed on the backside of the substrate are shown to be useful to suppress the spurious transmission band appearing at twice the central frequency of coupled-line microstrip filters. It is shown that proper adjustment of the dimensions of the floating conductors yields equal even and odd electrical lengths. An attractive feature of this design is its flexibility because the equalization of the modal electrical lengths can be achieved with various geometries. Additionally, the floating conductor provides an extra coupling mechanism that relaxes tolerances of strip width and spacing in those cases where tightly coupled sections are required. A fast quasi-TEM analysis is used to find the structure yielding equal mode phase velocities. Fine tuning to equalize the modal electrical lengths for each coupled stage is based on the use of a commercial electromagnetic simulator. Experimental verification is finally provided.
A Giant Ubiquitin-conjugating Enzyme Related to IAP Apoptosis Inhibitors

Ubiquitin-conjugating enzymes (UBC) catalyze the covalent attachment of ubiquitin to target proteins and are distinguished by the presence of a UBC domain required for catalysis. Previously identified members of this enzyme family are small proteins and function primarily in selective proteolysis pathways. Here we describe BRUCE (BIR repeat containing ubiquitin-conjugating enzyme), a giant (528-kD) ubiquitin-conjugating enzyme from mice. BRUCE is membrane associated and localizes to the Golgi compartment and the vesicular system. Remarkably, in addition to being an active ubiquitin-conjugating enzyme, BRUCE bears a baculovirus inhibitor of apoptosis repeat (BIR) motif, which to this date has been exclusively found in apoptosis inhibitors of the IAP-related protein family. The BIR motifs of IAP proteins are indispensable for their anti–cell death activity and are thought to function through protein–protein interaction. This suggests that BRUCE may combine properties of IAP-like proteins and ubiquitin-conjugating enzymes and indicates that the family of IAP-like proteins is structurally and functionally more diverse than previously expected.
Applying the Norman 1986 User-Centered Model to Post-WIMP UIs

In recent decades, “post-WIMP” interactions have revolutionized user interfaces (UIs) and led to improved user experiences. However, accounts of post-WIMP UIs typically do not provide theoretical explanations of why these UIs lead to superior performance. In this article, we use Norman’s 1986 model of interaction to describe how post-WIMP UIs enhance users’ mental representations of UI and task. In addition, we present an empirical study of three UIs; in the study, participants completed a standard three-dimensional object manipulation task. We found that the post-WIMP UI condition led to enhancements of mental representation of UI and task. We conclude that the Norman model is a good theoretical framework to study post-WIMP UIs. In addition, by studying post-WIMP UIs in the context of the Norman model, we conclude that mental representation of task may be influenced by the interaction itself; this supposition is an extension of the original Norman model.
Herpesviruses that Infect Fish

Herpesviruses are host specific pathogens that are widespread among vertebrates. Genome sequence data demonstrate that most herpesviruses of fish and amphibians are grouped together (family Alloherpesviridae) and are distantly related to herpesviruses of reptiles, birds and mammals (family Herpesviridae). Yet, many of the biological processes of members of the order Herpesvirales are similar. Among the conserved characteristics are the virion structure, replication process, the ability to establish long term latency and the manipulation of the host immune response. Many of the similar processes may be due to convergent evolution. This overview of identified herpesviruses of fish discusses the diseases that alloherpesviruses cause, the biology of these viruses and the host-pathogen interactions. Much of our knowledge on the biology of Alloherpesvirdae is derived from research with two species: Ictalurid herpesvirus 1 (channel catfish virus) and Cyprinid herpesvirus 3 (koi herpesvirus).
Defining Family-Friendly Early Intervention.

Prior to the 1986 passage of PL 99-457, an extension of the special services coverage under the Education for All Handicapped Children Act, early intervention programs were primarily interventionist directed and child focused. The new legislation provided incentives for providing programs that were family-centered and family-driven. The goal of this qualitative research project was to define "family-friendly" early intervention characteristics from the perspective of early interventionists. The two stages of this study were: participant observation and individual interviews (n=6). Found that characteristics of a "family-friendly" interventionist could be developed in anyone, but required components are understanding of personal feelings, needs, influences, and relationships before trying to work with families of special children. This understanding is not necessarily a function of age, parental experience, location or socioeconomic status, but maturity, experience, and intervention in natural environments seem to assist. "Family-friendly" early intervention may be characterized by actions that demonstrate a sensitivity and flexibility to regional, socioeconomic, cultural, and gender issues of each family; along with a recognition that the early interventionist's roles range from leader to bystander. Four appendices accounting for one-quarter of the document present the interview questions and analysis of results. (JBJ) ********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ***********************************************************************
Using reduced motion vector set for real time motion registration in HDR imaging

In this paper, we propose a new global motion registration algorithm based on hierarchical motion estimation of a reduced motion vector set, specifically adapted for the properties of the HDR input images, and designed for implementation on handheld devices, demanding low computational complexity and memory load. The procedure is fully automatic and does not require any end-user involvement. The algorithm shows great effectiveness, correctly registering over 95% of the HDR input images captured by free hand.
ASSIST: adaptive social support for information space traversal

Finding relevant information in a hyperspace has been a much studied problem for many years. With the emergence of so called Web 2.0 technologies we have seen the use of social systems for retrieval tasks increasing dramatically. Each system collects and exploits its own pool of community wisdom for the benefit of its users. In this paper we suggest a form of retrieval which exploits the pools of wisdom of multiple social technologies, specifically social search and social navigation. The paper details the added user benefits of merging several sources of social wisdom. We present details of the ASSIST engine developed to integrate social support mechanisms for the users of information repositories. The goal of this paper is to present the main features of the integrated community-based personalization engine that we have developed in order to improve retrieval in the hyperspace of information resources. It also reports the results of an empirical study of this technology.
Optical Motion Capture: Theory and Implementation

: Motion capture is the process of recording real life movement of a subject as sequences of Cartesian coordinates in 3D space. Optical motion capture (OMC) uses cameras to reconstruct the body posture of the performer. One approach employs a set of multiple synchronized cameras to capture markers placed in strategic locations on the body. A motion capture system has applications in computer graphics for character animation, in virtual reality for human control-interface, and in video games for realistic simulation of human motion. In this tutorial, we discuss the theoretical and empirical aspects of an optical motion capture system. Basically, for a motion capture system implementation; the resources required consist of a number of synchronized cameras, an image acquisition system, a capturing area, and a special suit with markers. The locations of the markers on the suit are designed such that the required body parts (e.g. joints) are covered. We present our motion capture system using a framework that identifies different sub-problems to be solved in a modular way. The sub-problems involved in OMC are initialization, marker detection, spatial correspondence, temporal correspondence, and post-processing. In this tutorial, we discuss the theory involved in each sub-problem and the corresponding novel techniques used in the current implementation. The initialization includes setting up a human model and the computation of intrinsic and extrinsic camera calibration. Marker detection involves finding
Tourism, neoliberal policy and competitiveness in the devel- oping world: the case of the Master Plan of Marrakech

Political economy, in its various guises and transfigurations, is a research philosophy that presents both social commentary and theoretical progress and is concerned with a number of different topics: politics, regulation and governance, production systems, social relations, inequality and development amongst many others. As a critical theory, political economy seeks to provide an understanding of societies – and of the structures and social relations that form them – in order to evoke social change toward more equitable conditions. Despite the early influence of critical development studies and political economy on tourism research, political economy has received relatively little attention in tourism research. Political Economy and Tourism the first volume to bring together different theoretical perspectives and discourse in political economy related to tourism. Written by leading scholars, the text is organised into three sequential Parts, linked by the principle that ‘the political’ and ‘the economic’ are intimately connected. Part one presents different approaches to political economy, including Marxist political economy, regulation, comparative political economy, commodity chain research and alternative political economies; Part two links key themes of political economy, such as class, gender, labour, development and consumption, to tourism; and Part three examines the political economy at various geographical scales and focuses on the outcomes and processes of the political act of planning and managing tourism production. This engaging volume provides insights and alternative critical perspectives on political economy theory to expand discussions of tourism development and policy in the future. Political Economy and Tourism is a valuable text for students, researchers and academics interested in Tourism and related disciplines.
Modeling and analysis of semiconductor manufacturing in a shrinking world: Challenges and successes

A panel session on the role of modeling and analysis in semiconductor manufacturing in a shrinking world is presented. Therefore, two participants are from Asia, two from Europe, and two from US and there are two panel organizers/ moderators (Fowler and Monch). One panelist from each continent is from industry and one from academia. Only initial position statements are included in the proceedings. However, these initial statements form the basis for the panel discussion. The statements of the panelists from industry relate to modeling and analysis problems found in their own companies. The position statements of the panelists from academia describe the role that modeling and analysis is expected to play in their current and ongoing research in semiconductor manufacturing. Furthermore, their views on the challenges and successes of modeling and analysis in a globalized world are also included.
Human Similarity Theories for the Semantic Web

The human mind has been designed to evaluate similarity fast and efficiently. When building/using a data format to make the web content more machine-friendly, can we learn something useful from how the mind represents data? We present four theories psychological theories that tried to solve the problem and how they relate to semantic web practices. Metric models (such as the vector space model and LSA) were the first-comers and still have important advantages. Advances in Bayesian methods pushed Feature models( e.g., Topic model). Structural mapping models propose that for similarity, shared structure matters more, although the formalisms that express these ideas are still developing. Transformational distance models (e.g., syntagmatic-paradigmatic -SP- model) reduce similarity to information transmission. Topic and SP models do not require preexisting classes but still have a long way to go; the need of automatically generating structure is less pressing when one of the driving forces of the semantic web is the creation of ontologies.
Readiness of Congregate Nutrition Sites to Deliver Nutrition Education to Older Adults

Title III of the Older Americans Act requires congregate nutrition sites (CNSs) to provide nutrition education. In 2015, we assessed 19 CNSs in Appalachian South Carolina for nutrition education readiness. Nutrition education readiness and general education readiness were both low. Overall, the CNSs were not ready to deliver education interventions due to lack of training/education, funds, drivers, and communication technologies. Addressing these problems could improve the likelihood that education would be effective. The readiness concepts described here can be used by Extension educators to determine whether delivery sites are ready to effectively provide education programs.
A high-dynamic range projection system

The dynamic range in many real-world environments surpasses the capabilities of traditional display technologies by several orders of magnitude. Recently, a novel display capable of displaying images with a dynamic range much closer to real world situations has been demonstrated. This was achieved through a spatially modulated backlight behind an LCD panel. Combined with the modulating power of the LCD panel itself, this enabled the display of much higher contrast compared to an LCD panel with a spatially uniform backlight. In this paper, we describe a further development of the technology, namely a high dynamic range projection system. This makes such display systems more widely applicable as any surface can be used for the display of high dynamic range images. Our new system is designed as an external attachment to a regular DLPTM-based projector, which allows the use of unmodified projectors. It works by adapting the projected image via a set of lenses to form a small image. This small image is then modulated via an LCD panel and the result is projected via another lens system onto a larger screen, as in traditional projection scenarios. The double modulation, by the projector and the LCD panel together, creates a high dynamic range image and an ANSI contrast of over 700:1. Finally, we discuss the advantages and disadvantages of our design relative to other high and low dynamic range display technologies and its potential applications.