ppxscal/embedding_network huggingface dataset:
Synthesis of artificial neural networks by evolutionary methods
Authors: Zelinka Ivan, Varacha Pavel
Venue: Proceedings of the 18th International Conference on Database and Expert Systems Applications (2007)

This work deals with a problem of synthesis of the artificial neural networks using the evolutional scanning method. The basic task to be solved is to create a symbolic regression algorithm on principles of analytic programming, which will be capable of performing a convenient neural network synthesis. The main motivation here is the computerization of such synthesis and discovering so far unknown solutions.
Fractal and resistance dimensions of random trees
Authors: Mokhtar H. Konsowa, Reem A. Al-Jarallah
Venue: Probability in the Engineering and Informational Sciences (2007)

In this article we determine a formula for fractal and resistance dimensions of two models of uniformly bounded random trees. The type (transient or recurrent) of the random walk on such trees is ascribed, to some extent, to these dimensions. The results presented in this article generalize some of the results of [6] and [7].
An Adaptive Associative Memory Principle
Authors: T. Kohonen
Venue: IEEE Transactions on Computers (1974)

It is shown that an analog associative memory with optimal selectivity can be formed in adaptive processes which use learning algorithms related to the gradient method. The information is distributed throughout the memory by a matrix transform.
The world of mushrooms: human-computer interaction prototype systems for ambient intelligence
Authors: Yasuhiro Minami, Minako Sawaki, Kohji Dohsaka, Ryuichiro Higashinaka, Kentaro Ishizuka, Hideki Isozaki, Tatsushi Matsubayashi, Masato Miyoshi, Atsushi Nakamura, Takanobu Oba, Hiroshi Sawada, Takeshi Yamada, Eisaku Maeda
Venue: Proceedings of the 9th international conference on Multimodal interfaces (2007)

Our new research project called "ambient intelligence" concentrates on the creation of new lifestyles through research on communication science and intelligence integration. It is premised on the creation of such virtual communication partners as fairies and goblins that can be constantly at our side. We call these virtual communication partners mushrooms. To show the essence of ambient intelligence, we developed two multimodal prototype systems: mushrooms that watch, listen, and answer questions and a Quizmaster Mushroom. These two systems work in real time using speech, sound, dialogue, and vision technologies. We performed preliminary experiments with the Quizmaster Mushroom. The results showed that the system can transmit knowledge to users while they are playing the quizzes. Furthermore, through the two mushrooms, we found policies for design effects in multimodal interface and integration.
Optimization of Asynchronous Sequential Circuit Realizations
Authors: D. H. Sawin
Venue: IEEE Transactions on Computers (1974)

Tan recently developed a heuristic state assignment algorithm for asynchronous sequential circuits. This note extends Tan's procedure to include optimization of the output state logic, as well as the next state logic, and single-output-change (SOC) flow tables with DON'T CARE entries. The extended algorithm exhibits the same simplicity of execution as Tan's procedure.
Miranim: An Extensible Director-Oriented System for the Animation of Realistic Images
Authors: Nadia Magnenat-Thalmann, Daniel Thalmann, Mario Fortin
Venue: IEEE Computer Graphics and Applications (1985)

Artists who do not know how to program a computer can still make most of the scenes in a computer-generated film.
ABRMAS: Agent Based Resource Management with Alternate Solution
Authors: P. Muthuchelv, V. Ramachandran
Venue: Proceedings of the Sixth International Conference on Grid and Cooperative Computing (2007)

Grid computing offers many scientific and commercial benefits, notwithstanding many technical and organizational constraints. In such a scenario, satisfactory service can be provided to end users through software agents. These software agents are recognized as a powerful high level abstraction for developing a complex software system. ABRMAS system has been proposed to enhance the existing agent based hierarchical system by introducing the concept of alternate solution for efficient resource discovery. It increases the success rate of the agent by providing alternate solution. The scope for devising means of cutting delays arising out of prolonged wait for instantly unavailable resources is also examined in this paper. Agents are designed so as to provide an alternate solution even in case of discovery fails for time bound and cost bound task. The collaboration of agents in such a situation helps to solve the resource discovery problem in an efficient manner with other agents.
A Gambling Approach to Scalable Resource-Aware Streaming
Authors: Mouna Allani, Benoit Garbinato, Fernando Pedone, Marija Stamenkovic
Venue: Proceedings of the 26th IEEE International Symposium on Reliable Distributed Systems (2007)

In this paper, we propose a resource-aware solution to achieving reliable and scalable stream diffusion in a probabilistic model, i.e., where communication links and processes are subject to message losses and crashes, respectively. Our solution is resource-aware in the sense that it limits the memory consumption, by strictly scoping the knowledge each process has about the system, and the bandwidth available to each process, by assigning a fixed quota of messages to each process. We describe our approach as gambling in the sense that it consists in accepting to give up on a few processes sometimes, in the hope to better serve all processes most of the time. That is, our solution deliberately takes the risk not to reach some processes in some executions, in order to reach every process in most executions. The underlying stream diffusion algorithm is based on a tree-construction technique that dynamically distributes the load of forwarding stream packets among processes, based on their respective available bandwidths. Simulations show that this approach pays off when compared to traditional gossiping, when the latter faces identical bandwidth constraints.
What Hackers Learn that the Rest of Us Don't: Notes on Hacker Curriculum
Authors: Surgey Bratus
Venue: IEEE Security and Privacy (2007)

The hacker culture has accumulated a wealth of efficient practices and approaches to computer technologies -- in particular, to analysis, reverse engineering, testing, and software and hardware modification -- that differ considerably from those of both the IT industry and traditional academia.
Ontology Based Sharing and Services in E-Learning Repository
Authors: Zhu Xin-juan, Li Xian-Feng, Guo Wei
Venue: Proceedings of the 2007 IFIP International Conference on Network and Parallel Computing Workshops (2007)

Although some metadata standards such as LOM and Dublin Core are defined to offer the base and guarantee for education information sharing, there are still some shortcomings in e-Learning domain, the main one being their exclusive focus on property based specifications. Semantic web technologies allow us to enhance these specifications using classes of objects with common attributes. Another shortcoming of the standards is that they do not include any domain ontologies - which again can be specified building on semantic web formalisms. We try to explore the e- Learning repository and learner top layer ontology in our work. Based on the domain ontology, the algorithm of e-Learning resource semantic query is analyzed. Some SWRL rules are defined, so that new knowledge can be deducted from OWL knowledge database. The architecture of our learning repository is also described. Our practice indicate that some intelligent and personalization services in e-Learning can be achieved by using ontology and semantic web technology.
Uniform Modular Realizations and Linear Machines
Authors: S. E. Gelenbe, N. Rossi
Venue: IEEE Transactions on Computers (1971)

It is shown that a single-output Moore-type n-state linear machine may be realized with no more than 2n copies of the AND-OR-delay (AOD) module of Newborn, Weiner, and Hopcroft. This bound is significantly lower than that for arbitrary single-output Moore-type machines, which is 2n.
Application of A Multi-Species Optimizer in Ubiquitous Computing for RFID Networks Scheduling
Authors: Hanning Chen, Yunlong Zhu, Kunyuan Hu, Ben Niu
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 02 (2007)

Devising switching schemes for networks of colliding and correlated RFID readers is a core challenge in the reliable operation of RFID augmented ubiquitous environment. In this paper, a novel optimal scheduling scheme for RFID networks using a symbiotic multi-species particle swarm optimizer (SMSO) is presented. The SMSO, which inspired by the biological phenomenon of symbiosis in nature, can remarkably enhance the convergence and accuracy of the standard particle swarm optimizer (SPSO) when applied to perform the nonlinear optimization problems. Numerical simulations of three benchmark functions are used to test the performance of SMSO. Furthermore, simulation on RFID reader networks architecture is given to illustrate the effectiveness of the proposed scheduling scheme.
Timing-Aware Diagnosis for Small Delay Defects
Authors: Takashi Aikyo, Hiroshi Takahashi, Yoshinobu Higami, Junichi Ootsu
Venue: Proceedings of the 22nd IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems (2007)

As semiconductor technologies progress, testing of small delay defects are becoming more important for SoCs. However, fault diagnosis of small delay defects has not been developed. We propose a novel timing-aware method for diagnosing small delay defects with a small computation cost using gate delay fault simulation with the minimum detectable delay, as introduced in the statistical delay quality model. The experimental results show that the proposed method is capable of identifying fault locations for small delay defects with a small computation cost.
The cerebellum mediates conflict resolution
Authors: Tom A. Schweizer, Chris Oriet, Nachshon Meiran, Michael P. Alexander, Michael Cusimano, Donald T. Stuss
Venue: Journal of Cognitive Neuroscience (2007)

Regions within the frontal and parietal cortex have been implicated as important neural correlates for cognitive control during conflict resolution. Despite the extensive reciprocal connectivity between the cerebellum and these putatively critical cortical areas, a role for the cerebellum in conflict resolution has never been identified. We used a task-switching paradigm that separates processes related to task-set switching and the management of response conflict independent of motor processing. Eleven patients with chronic, focal lesions to the cerebellum and 11 healthy controls were compared. Patients were slower and less accurate in conditions involving conflict resolution. In the absence of response conflict, however, tasks-witching abilities were not impaired in our patients. The cerebellum may play an important role in coordinating with other areas of cortex to modulate active response states. These results are the first demonstration of impaired conflict resolution following cerebellar lesions in the presence of an intact prefrontal cortex.
A Microprocessor Chip Designed with the User in Mind
Authors: W. E. Wickes
Venue: Computer (1977)

Electronic Arrays is producing the EA9002, a new singlechip, 8-bit parallel microprocessor. If you are close to this market and familiar with most of the available or nearly available microprocessors your first reaction might well be, " Another one? Why?" The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Stateful Detection in High Throughput Distributed Systems
Authors: Gunjan Khanna, Ignacio Laguna, Fahad A. Arshad, Saurabh Bagchi
Venue: Proceedings of the 26th IEEE International Symposium on Reliable Distributed Systems (2007)

With the increasing speed of computers and the complexity of applications, many of today's distributed systems exchange data at a high rate. Significant work has been done in error detection achieved through external fault tolerance systems. However, the high data rate coupled with complex detection can cause the capacity of the fault tolerance system to be exhausted resulting in low detection accuracy. We present a new stateful detection mechanism which observes the exchanged application messages, deduces the application state, and matches against anomalybased rules. We extend our previous framework (the Monitor) to incorporate a sampling approach which adjusts the rate of verified messages. The sampling approach avoids the previously reported breakdown in the Monitor capacity at high application message rates, reduces the overall detection cost and allows the Monitor to provide accurate detection. We apply the approach to a reliable multicast protocol (TRAM) and demonstrate its performance by comparing it with our previous framework.
Evaluation of 3-D Graphics Software: A Case Study
Authors: M. Lores, S. Chasen, J. Garner
Venue: IEEE Computer Graphics and Applications (1983)

Contracting for a commercially available 3-D graphics software system has advantages over developing such a system in-house, but a detailed evaluation process is a must.
Deadline and QoS aware data warehouse
Authors: Wen-Syan Li, Dengfeng Gao, Rafae Bhatti, Inderpal Narang, Hirofumi Matsuzawa, Masayuki Numao, Masahiro Ohkawa, Takeshi Fukuda
Venue: Proceedings of the 33rd international conference on Very large data bases (2007)

A data warehouse infrastructure needs to support the requirement of (day time) ad hoc query response time and (night time) batch workload completion time. The following tasks need to be finished in a batch window: (1) Apply one day's delta data to the base tables; (2) refresh MQTs (Materialized Query Tables) for ad hoc queries and batch workloads; (3) run batch queries. Tools are available to optimize each step; however, many factors need to be considered for improving the overall performance of a data warehouse (i.e. meeting batch window deadline and ad hoc query response time). We have prototyped a Data Warehouse Operation Advisor to systematically study each component contributing to the batch window problem, and then perform global optimization to achieve desired results!
Software-based sensor node energy estimation
Authors: Adam Dunkels, Fredrik Österlind, Nicolas Tsiftes, Zhitao He
Venue: Proceedings of the 5th international conference on Embedded networked sensor systems (2007)

Being able to estimate the energy consumption of sensor nodes is essential both for evaluating existing sensor network mechanisms and for constructing new energy-aware mechanisms. We present a software-based mechanism for estimating the energy consumption of sensor node at run-time. Unlike previous energy estimation mechanisms, our mechanism does not require any additional hardware components or add-ons. Our demonstration shows the energy estimation in practice on a small network of Tmote Sky motes running the Contiki operating system. A PC connected to one of the motes shows the real-time energy estimation of the network nodes and where the energy is spent: CPU active, CPU sleeping, radio transmitting, radio listening, and LEDs.
The QR-code reorganization in illegible snapshots taken by mobile phones
Authors: Aidong Sun, Yan Sun, Caixing Liu
Venue: Proceedings of the The 2007 International Conference Computational Science and its Applications (2007)

In this paper, we give an algorithm for the analysis and correction of the distorted QR barcode (QR-code) image. The introduced algorithm is based on the code area finding by four corners detection for 2D barcode. We combine Canny edge detection with contours finding algorithms to erase noises and reduce computation and utilize two tangents to approximate the right-bottom point. Then, we give a detail description on how to use inverse perspective transformation in rebuilding a QR-code image from a distorted one. We test our algorithm on images taken by mobile phones. The experiment shows that our algorithm is effective.
Deriving Queuing Network Model for UML for Software Performance Prediction
Authors: Hyunsang Youn, Suhyeon Jang, Eunseok Lee
Venue: Proceedings of the 5th ACIS International Conference on Software Engineering Research, Management & Applications (2007)

Abstract-It is an important issue for software architects to estimate the performance of software in the early stage of development process due to the needs to verify QoS. Queueing network model is a very useful tool to analyze the performance of a system from abstract model. In this paper, we propose a transformation technique from UML into queueing network model. This approach avoids the need for a prototype implementation since we can determine the overall form of performance equation from the architectural design description. We prove the accuracy of derived queueing network model, which is summarized at 85 percent, through a ubiquitous commerce system which extends mobile commerce system developed by our prior work.
Neural correlates of verb argument structure processing
Authors: Cynthia K. Thompson, Borna Bonakdarpour, Stephen C. Fix, Henrike K. Blumenfeld, Todd B. Parrish, Darren R. Gitelman, M. -Marsel Mesulam
Venue: Journal of Cognitive Neuroscience (2007)

Neuroimaging and lesion studies suggest that processing of word classes, such as verbs and nouns, is associated with distinct neural mechanisms. Such studies also suggest that subcategories within these broad word class categories are differentially processed in the brain. Within the class of verbs, argument structure provides one linguistic dimension that distinguishes among verb exemplars, with some requiring more complex argument structure entries than others. This study examined the neural instantiation of verbs by argument structure complexity: one-, two-, and three-argument verbs. Stimuli of each type, along with nouns and pseudowords, were presented for lexical decision using an event-related functional magnetic resonance imaging design. Results for 14 young normal participants indicated largely overlapping activation maps for verbs and nouns, with no areas of significant activation for verbs compared to nouns, or vice versa. Pseudowords also engaged neural tissue overlapping with that for both word classes, with more widespread activation noted in visual, motor, and peri-sylvian regions. Examination of verbs by argument structure revealed activation of the supramarginal and angular gyri, limited to the left hemisphere only when verbs with two obligatory arguments were compared to verbs with a single argument. However, bilateral activation was noted when both two-and three-argument verbs were compared to one-argument verbs. These findings suggest that posterior peri-sylvian regions are engaged for processing argument structure information associated with verbs, with increasing neural tissue in the inferior parietal region associated with increasing argument structure complexity. These findings are consistent with processing accounts, which suggest that these regions are crucial for semantic integration.
Supporting application-tailored grid file system sessions with WSRF-based services
Authors: Ming Zhao, V. Chadha, R. J. Figueiredo
Venue: Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium (2005)

This paper presents novel service-based grid data management middleware that leverages standards defined by WSRF specifications to create and manage dynamic grid file system sessions. A unique aspect of the service is that the sessions it creates can be customized to address application data transfer needs. Application-tailored configurations enable selection of both performance-related features (block-based partial file transfers and/or whole-file transfers, cache parameters and consistency models) and reliability features (file system copy-on-write checkpointing to aid recovery of client-side failures; replication, autonomous failure detection and data access redirection for server-side failures). These enhancements, in addition to cross-domain user identity mapping and encrypted communication, are implemented via user level proxies managed by the service, requiring no changes to existing kernels. Sessions established using the service is mounted as distributed file systems and can be used transparently by unmodified binary applications. The paper analyzes the use of the service to support virtual machine based grid systems and workflow execution, and also reports on the performance and reliability of service managed wide-area file system sessions with experiments based on scientific applications (NanoMOS/Matlab, CHID, GAUSS and SPECseis).
Axioms for control operators in the CPS hierarchy
Authors: Yukiyoshi Kameyama
Venue: Higher-Order and Symbolic Computation (2007)

A CPS translation is a syntactic translation of programs, which is useful for describing their operational behavior. By iterating the standard call-by-value CPS translation, Danvy and Filinski discovered the CPS hierarchy and proposed a family of control operators, shift and reset, that make it possible to capture successive delimited continuations in a CPS hierarchy. Although shift and reset have found their applications in several areas such as partial evaluation, most studies in the literature have been devoted to the base level of the hierarchy, namely, to level-1 shift and reset. In this article, we investigate the whole family of shift and reset. We give a simple calculus with level-n shift and level-n reset for an arbitrary n>0. We then give a set of equational axioms for them, and prove that these axioms are sound and complete with respect to the CPS translation. The resulting set of axioms is concise and a natural extension of those for level-1 shift and reset.
Yttrium silicide formation and its contact properties on Si(100)
Authors: Wei Huang, Guo-Ping Ru, C. Detavernier, R. L. Van Meirhaeghe, Yu-Long Jiang, Xin-Ping Qu, Bing-Zong Li
Venue: Microelectronic Engineering (2008)

Yttrium silicide formation and its contact properties on Si(100) have been studied in this paper. By evaporating a yttrium metal layer onto Si(100) wafer in conventional vacuum condition and rapid thermal annealing, we found that YSi"2"-"x begins to form at 350^oC, and is stable to 950^oC. Atomic force microscopy characterization shows the pinholes formation in the formed YSi"2"-"x film. By current-voltage measurement, the Schottky barrier height (SBH) of YSi"2"-"x diode on p-type Si(100) was shown to be between 0.63 and 0.69eV for annealing temperature from 500 to 900^oC. By low temperature current-voltage measurement, the SBH of YSi"2"-"x diode on n-type Si(100) was directly measured and shown to be 0.46, 0.37, 0.32eV for annealing temperature of 500, 600, and 900^oC, respectively, and possibly even lower for annealing at 700 or 800^oC.