Abstract In this paper, we present a method for creating Escher‐like spherical patterns with regular polyhedron symmetries. Using the generators of the symmetry groups associated with regular polyhedra, we first provide fast algorithms to construct spherical tilings. Then, to obtain Escher‐like patterns, we specify texturing techniques to decorate the resulting tilings. Moreover, we present a strategy to create a novel dynamic effect of Escher‐like kaleidoscopes in which the motifs have a complete body. The method has the advantages of simple implementation, fast calculation, good graphics, and artistic effects, which can be used to create rich elegant spherical patterns.

Many therapies in clinical trials are based on single drug-single target relationships. To further extend this concept to multi-target approaches using multi-targeted drugs, we developed a machine learning pipeline to unravel the target landscape of kinase inhibitors. This pipeline, which we call 3D-KINEssence, uses a new type of protein fingerprints (3D FP) based on the structure of kinases generated through a 3D convolutional neural network (3D-CNN). These 3D-CNN kinase fingerprints were matched to molecular Morgan fingerprints to predict the targets of each respective kinase inhibitor based on available bioactivity data. The performance of the pipeline was evaluated on two test sets: a sparse drug-target set where each drug is matched in most cases to a single target and also on a densely-covered drug-target set where each drug is matched to most if not all targets. This latter set is more challenging to train, given its non-exclusive character. Our model's root-mean-square error (RMSE) based on the two datasets was 0.68 and 0.8, respectively. These results indicate that 3D FP can predict the target landscape of kinase inhibitors at around 0.8 log units of bioactivity. Our strategy can be utilized in proteochemometric or chemogenomic workflows by consolidating the target landscape of kinase inhibitors.

Whirlpools , by the Dutch graphic artist M. C. Escher, is a woodcut print in which fish interlock as a double spiral tessellation. Inspired by this print, in this article we extend the idea and present a general method to create Escher-like interlocking spiral drawings of N whirlpools. To this end, we first introduce an algorithm for constructing regular spiral tiling T . Then, we design a suitable spiral tiling T and use N copies of T to compose an interlocking spiral tiling K of N whirlpools. To create Escher-like drawings similar to the print, we next specify realization details of using wallpaper templates to decorate K . To enhance the aesthetic appeal, we propose several measures to minimize motif overlaps of the spiral drawings. Technologically, we develop algorithms for generating Escher-like drawings that can be implemented using shaders. The method established is thus able to generate a great variety of exotic Escher-like interlocking spiral drawings.

Abstract In this paper, using both hand-drawn and computer-drawn graphics, we establish a method to generate advanced Escher-like spiral tessellations. We first give a way to achieve simple spiral tilings of cyclic symmetry. Then, we introduce several conformal mappings to generate three derived spiral tilings. To obtain Escher-like tessellations on the generated tilings, given pre-designed wallpaper motifs, we specify the tessellations’ implementation details. Finally, we exhibit a rich gallery of the generated Escher-like tessellations. According to the proposed method, one can produce a great variety of exotic Escher-like tessellations that have both good aesthetic value and commercial potential.

Many interesting and promising prototypes for visualizing video data have been proposed, including those that combine videos with their spatial context (contextualized videos). However, relatively little work has investigated the fundamental design factors behind these prototypes in order to provide general design guidance. Focusing on real-time video data visualization, we evaluated two important design factors--video placement method and spatial context presentation method--through a user study. In addition, we evaluated the effect of spatial knowledge of the environment. Participants' performance was measured through path reconstruction tasks, where the participants followed a target through simulated surveillance videos and marked the target paths on the environment model. We found that embedding videos inside the model enabled realtime strategies and led to faster performance. With the help of contextualized videos, participants not familiar with the real environment achieved similar task performance to participants that worked in that environment. We discuss design implications and provide general design recommendations for traffic and security surveillance system interfaces.

Computer-based surgical simulation promises to provide a broader scope of clinical training through the introduction of anatomic variation, simulation of untoward events, and collection of performance data. We present a haptically-enabled surgical simulator for the most common techniques in diagnostic and operative hysteroscopy-cervical dilation, endometrial resection and ablation, and lesion excision. Engineering tradeoffs in developing a real-time, haptic-rate simulator are discussed.

The “Security Island” physica. security paradigm, on which we base our concept,s of prot,ecting computer systems, derives from not.ions of centralized control and isolation. Implicit in t.his view is the need for “global understaading” of the syst.em being protected: it must, in principal, be possible for a. single person to know a.bout all of the da.ta. pat.hs a.nd security controls within the syst.em. Ot,herwise, it is not, possible to ana.lyze a,dequa.tely the prot,ect,ion afforded by the system. As a system grows in size and complexity, maintaining globa. understanding becomes increasingly difficult, and ultima.tely it is impossible. We describe two alternative paradigms-“Secure Telephone” and “VIP Prot8ection”--tha.t may be able to survive the complexity threshold a.t which t,he securit,y isla.nd paradigm collapses. 1 Do We Need a New Paradigm? A trusted network poses many difficult security problems. The hardest of these seem to st,em direct.ly from the complexity of t.he network. The t,rouble is that our ideas of how to prot,ect, computer syst,ems and networks* are derived directly from our past experiences with physica, security syst.ems. The physical security pa.radigm, which we might ca.ll “securit.y islands,” is based on isola.tion and hierarchica. cont,rol. As network size aad complexity grow, hiera.rchicad control becomes increasingly difficult t.o manage because it is no longer possible to “underst,and” wha.t t,he system really does, it is no longer possible t.o ana.lyze t.he implications of cha.nge, and it. is no longer possible to determine whether development is being performed correctly. ‘For the purposes of this paper, any distiuction bet.weeu t.lw ideas of “computer system” ancl “computer uet,work” are irrelevant. In the remainder of t.he paper we meill use t.he t.erms “system” and “network” interchaugeably. 01993 ACM O-89791-635-2 $1.50 In this paper we explore t.lie secllriiy island paradigm and where it lea.cls. We t,hen present two “new” pa.radigms (neit.her of which is a.t all new), one based on rejecting hierarchical cant rol and t.hc> other based on rejectming isolat.ion.

During the First Session of the 98th Congress, several days of hearings were held on the activities of "computer enthusiasts" including the Milwaukee 414s and others. The First Session also saw the introduction in the House of six bills dealing with various aspects of computer crime. A summary of those hearings, along with a summary of the pending computer crime bills, will be presented.