ppxscal/embedding_network huggingface dataset:
An ARP-based Anomaly Detection Algorithm Using Hidden Markov Model in Enterprise Networks
Authors: Y. Yasami, M. Farahmand, V. Zargari
Venue: Proceedings of the Second International Conference on Systems and Networks Communications (2007)

Network anomaly detection is an active research area. Behavior recognition of traffic is a process by which the ongoing observed behavior of a host is tracked and compared by a given model. Various methods for behavior recognition exist. But incorporation of Hidden Markov Models (HMM's) for anomaly detection (ARP anomaly detection, especially) is a novel method. This paper aims at classifying the network ARP traffic as an abnormal or normal using a special HMM. The paper's main objective is to build a statistical anomaly detection system, a predictive model capable of discrimination between normal and abnormal behavior of network ARP traffic. The proposed method is unique in this aspect that by applying a modified HMM presents a host-based ARP anomaly detection algorithm with very high accuracy. We applied the method in a real campus network and observed a precision of above 90%.
Multiuser, Distributed Language-Based Environments
Authors: G. E. Kaiser
Venue: IEEE Software (1987)

How do you keep teams of programmers informed of system changes without burying them in mail messages? Make the environment responsible for propagating changes.
A novel dynamic RWA algorithm with intelligent granularity regulation in multi-granular all-optical networks
Authors: Ching-Fang Hsu
Venue: Computer Communications (2007)

With the great advances of DWDM technology, optical cross-connects have to deal with much more wavelengths. Accordingly, the size of optical cross-connects become larger and larger; also the management cost is much higher. To simplify the architecture of cross-connects for low-complexity maintenance, waveband switching (WBS) in conjunction with several optical cross-connect architectures have been proposed and attracted much attention recently. The main concept of WBS is to group multiple wavelengths into a single waveband and what it concerns includes cross-connect cost and port count reduction. In this paper, we investigate the dynamic RWA problem (MG_DRWA) in WBS networks comprising of all-optical switches based on a cost-effective multi-granular optical cross-connect (MG-OXC) architecture. With this reconfigurable architecture, an optical cross-connect can switch at either fiber level, waveband level, or wavelength level according to its configuration. In order to effectively accommodate dynamic traffic demand, we propose a new MG_DRWA algorithm. Numerical results reveal that the proposed algorithm can achieve significantly better blocking performance as compared to a previously proposed algorithm named MILB under various traffic loads.
Vertical poly-Si select pn-diodes for emerging resistive non-volatile memories
Authors: D. S. Golubović, A. H. Miranda, N. Akil, R. T. F. van Schaijk, M. J. van Duuren
Venue: Microelectronic Engineering (2007)

Vertical polycrystalline silicon pn-diodes have been investigated as the select device for resistive non-volatile memories. The diodes have been fabricated up to the metal-1 level using basic processing steps of a CMOS front-end-of-line for 65nm node and beyond. The study of the electric properties reveals that polycrystalline silicon diodes have a high current density in excess of 10^5A/cm^2 and exhibit good rectification ratio, even at temperatures as high as 125^oC. Besides single devices, cross-point arrays with polycrystalline Silicon diodes have also been investigated.
Software reuse and evolution with generative techniques
Authors: Krzysztof Czarnecki
Venue: Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering (2007)

Generative software development aims at modeling and implementing product lines in such a way that all or a substantial part of the desired system can be automatically generated from a specification written in one or more domain-specific languages (DSLs). The tutorial will explore several techniques of generative software development and show how they can help address software evolution and reuse challenges.
Iterated Document Content Classification
Authors: C. An, H. Baird, P. Xiu
Venue: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01 (2007)

We report an improved methodology for training classi- fiers for document image content extraction, that is, the lo- cation and segmentation of regions containing handwriting, machine-printed text, photographs, blank space, etc. Our previous methods classified each individual pixel separately (rather than regions): this avoids the arbitrariness and re- strictiveness that result from constraining region shapes (to, e.g., rectangles). However, this policy also allows content classes to vary frequently within small regions, often yield- ing areas where several content classes are mixed together. This does not reflect the way that real content is organized: typically almost all small local regions are of uniform class. This observation suggested a post-classification method- ology which enforces local uniformity without imposing a restricted class of region shapes. We choose features ex- tracted from small local regions (e.g. 4-5 pixels radius) with which we train classifiers that operate on the output of previous classifiers, guided by ground truth. This pro- vides a sequence of post-classifiers, each trained separately on the results of the previous classifier. Experiments on a highly diverse test set of 83 document images show that this method reduces per-pixel classification errors by 23%, and it dramatically increases the occurrence of large contigu- ous regions of uniform class, thus providing highly usable near-solid `masks' with which to segment the images into distinct classes. It continues to allow a wide range of com- plex, non-rectilinear region shapes.
Parallel Strategies for Stochastic Evolution
Authors: Sadiq M. Sait, Khawar S. Khan, Mustafa I. Ali
Venue: Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications (2007)

The paper discusses the parallelization of Stochastic Evolution metaheuristic, identifying effective paralleliza- tion for a distributed parallel environment. Multiobjective VLSI cell placement is used as an optimization problem. A comprehensive set of parallelization approaches are tested and an effective strategy is identified in terms of two un- derlying factors: workload division and the effect of paral- lelization on metaheuristic's search intelligence. The strate- gies are compared with parallelization of another similar evolutionary metaheuristic called Simulated Evolution. The role of the two mentioned underlying factors is discussed in parallelization of stochastic evolution, the parallelized ver- sion of which has not been presented before.
Optimization of Airport Flight Arrival and Departure Based on Compromise Immune Algorithm
Authors: Jianli Ding, Jinling Ji, Heyi Wang
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 03 (2007)

The essence of optimization of airport flight arrival and departure is to seek optimal sequencing of flight arrival and departure and reduce flight delay. In this paper according to the rule of "Flight arrival has priority over flight departure" and the limit of airport capacity, optimal schedule of airport flight arrival and departure is achieved through compromise immune algorithm (CIA), and flight delay is minimized. Experimental results show that CIA has great ability of problem solving and is especially suitable for solving practical problems of combinational optimization.
Political analysis using fuzzy MCDM
Authors: Gleiber Fernandes Royes, Rogério Cid Bastos
Venue: Journal of Intelligent Fuzzy Systems: Applications in Engineering and Technology (2001)

The application of Fuzzy Logic (FL) in traditional fields such as engineering, medicine or finance has become a common practice. However, in social sciences (mainly politics), the use of FL can still be intensely explored. The complex and uncertain criteria of political problems can be investigated in a clearer way joining fuzzy with Multiple Criteria Decision Making (MCDM). The practical result of this research is the creation of a computational system for election forecasting which uses linguistic terms to represent the system inputs and criteria weights. A flexible system is proposed in which the function format of the fuzzy criteria weights and of the fuzzy rating criteria can be chosen by the system user (the Decision Maker) according to particular needs. In addition, a new perspective to ideal positive and ideal negative concepts using fuzzy LR intervals is also proposed.
TCP Prediction for Adaptive Applications
Authors: Roger P. Karrer
Venue: Proceedings of the 32nd IEEE Conference on Local Computer Networks (2007)

Adaptive applications, such as real-time multimedia streaming applications, are increasingly using TCP as their underlying transport protocol. To adapt the content, an elastic application needs a prediction of the future available bandwidth. Unfortunately, the socket API does not allow an application toget information from the transport layer. Therefore, this paper proposes an approach where a monitor collects packet information from the network interface, creates a time series by samplingthe packet information, and uses prediction models to assess the future available bandwidth. We collected more than 55000 raw TCP traces among various hosts in the Internet, sampled them at intervals from 0.01 to 5 seconds, and use standard linear and autoregressive prediction models, including Bestmean, AR, MA and ARMA, to determine the normalized prediction error. We find that the prediction error varies significantly as a functionof the above parameters. We therefore derive a simple criterion that allows an adaptive application to dynamically adjust theprediction parameters to reduce the prediction error. We evaluate the benefit of this criterion on the number of correctly receivedframes at the client, which corresponds to the perceived video quality by the user.
TSSub
Authors: Jian Guo, Yuanlie Lin
Venue: Bioinformatics (2006)

Summary: This paper introduces a new subcellular localization system (TSSub) for eukaryotic proteins. This system extracts features from both profiles and amino acid sequences. Four different features are extracted from profiles by four probabilistic neural network (PNN) classifiers, respectively (the amino acid composition from whole profiles; the amino acid composition from the N-terminus of profiles; the dipeptide composition from whole profiles and the amino acid composition from fragments of profiles). In addition, a support vector machine (SVM) classifier is added to implement the residue-couple feature extracted from amino acid sequences. The results from the five classifiers are fused by an additional SVM classifier. The overall accuracies of this TSSub reach 93.0 and 77.4% on Reinhardt and Hubbard's eukaryotic protein dataset and Huang and Li's eukaryotic protein dataset, respectively. The comparison with existing methods results shows TSSub provides better prediction performance than existing methods. Availability: The web server is available from Contact: guojian99@tsinghua.org.cn Supplementary Information: The Supplementary Data can be downloaded from
Hybrid mobile backbone network routing with flow control and distance awareness (MBNR-FC/DA)
Authors: Xiaolong Huang, Izhak Rubin
Venue: Ad Hoc Networks (2008)

The mobile backbone network (MBN) architecture has been introduced to synthesize robust, scalable and efficient mobile ad hoc wireless networks that support multimedia flows. Backbone capable nodes are dynamically elected to construct a mobile backbone (Bnet). In this article, we present a hybrid routing mechanism for such networks, identified as MBN routing with flow control and distance awareness (MBNR-FC/DA) scheme. Flows that travel a distance longer than a threshold level are routed across the Bnet. This induces a significant reduction in the route discovery control overhead, yielding a highly scalable operation. In turn, a limited span global route discovery process is invoked for routing shorter distance flows. Discovered global routes use effectively the capacity of non-backbone wireless links. Such an operation serves to upgrade the network's throughput capacity level when the backbone network does not provide global topological covering. The hybrid routing protocol introduced and studied in this paper, also employs combined nodal congestion control and flow admission control schemes to guide admitted flows across areas that are less congested, and to avoid overloading the network. We present a centralized procedure as well as a distributed adaptive scheme for the calculation of the distance threshold level under varying traffic loading and backbone coverage conditions. We show our schemes to make efficient use of network-wide capacity resources by dynamically selecting proper distance threshold levels, yielding outstanding delay-throughput performance.
Stabilizing schemes for piecewise-linear reduced order models via projection and weighting functions
Authors: Bradley N Bond, Luca Daniel
Venue: Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design (2007)

In this paper we present several results concerning the stabilization of piecewise-linear reduced order models. We include proofs of internal and external stability for models whose system matrices possess special structures. We then introduce a new projection scheme, and a new set of weighting functions which allow us to extend some of these results to piecewise-linear systems comprised of arbitrary matrices, at least one of which is Hurwitz. Included are an algorithm for creating switching piecewise-linear reduced models comprised of globally exponentially stable systems, and stable simulation results for a system which produces unstable results when using the standard TPWL method.
Recent Research and Emerging Challenges in Physical Design for Manufacturability/Reliability
Authors: Chung-Wei Lin, Ming-Chao Tsai, Kuang-Yao Lee, Tai-Chen Chen, Ting-Chi Wang, Yao-Wen Chang
Venue: Proceedings of the 2007 Asia and South Pacific Design Automation Conference (2007)

As IC process geometries scale down to the nanometer territory, the industry faces severe challenges of manufacturing limitations. To guarantee yield and reliability, physical design for manufacturability and reliability has played a pivotal role in resolution and thus yield enhancement for the imperfect manufacturing process. In this paper, we introduce major challenges arising from nanometer process technology, survey key existing techniques for handling the challenges, and provide some future research directions in physical design for manufacturability and reliability.
Concurrent Error Detection for FSMs Designed for Implementation with Embedded Memory Blocks of FPGAs
Authors: Andrzej Krasniewski
Venue: Proceedings of the 10th Euromicro Conference on Digital System Design Architectures, Methods and Tools (2007)

We propose a cost-efficient concurrent error detection (CED) scheme for FSMs designed for implementation with embedded memory blocks (EMBs) available in today's SRAM-based FPGAs. The scheme is proven to detect each permanent or transient fault associated with a single input or output of any component of the circuit that results in its incorrect state or output. The experimental results obtained using our proprietary FSM synthesis tool show that despite the heterogeneous structure of the proposed CED scheme, the overhead is very low. For the examined benchmark circuits, the overhead in terms of extra EMBs is in the range of 5.0% to 56.3%, with an average value of 26.5%. This compares favorably with the earlier proposed solutions applicable to conventional FSM designs intended for an implementation with gates and flip-flops for which an overhead exceeding 100% is quite typical.
Model-Driven Quality Assurance for End Users
Authors: Steven Bucuvalas, Clayton Lewis
Venue: Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (2007)

The ioRules system uses model-based techniques to solve two classes of software quality assurance problems: policy satisfaction, and regression. In a policy problem, the user wants to know whether a program being evaluated satisfies a policy that is critical in the application domain. In a regression problem, the user wants to know whether a modified version of a program implements the same functionality as some original baseline. The system also allows the end user to browse a model of their program, viewing its behavior flexibly from multiple perspectives.
New Products
Authors: M. G. Bienhoff
Venue: Computer (1973)

A 4096-bit random-access memory monolithic IC is now being characterized by Standard Microsystems Corporation, Hauppauge, N. Y. The new designated product, SMC N-4412, is an electrically alterable memory with decoding and sensing contained on the single monolithic silicon structure. 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
Fuzzy prime ideals of pseudo-MV algebras
Authors: Grzegorz Dymek
Venue: Soft Computing - A Fusion of Foundations, Methodologies and Applications (2007)

The aim of this paper is to introduce the notion of fuzzy prime ideals of pseudo-MV algebras and investigate some of its properties.
Modeling and querying vague spatial objects using shapelets
Authors: Daniel Zinn, Jim Bosch, Michael Gertz
Venue: Proceedings of the 33rd international conference on Very large data bases (2007)

Research in modeling and querying spatial data has primarily focused on traditional "crisp" spatial objects with exact location and spatial extent. More recent work, however, has begun to address the need for spatial data types describing spatial phenomena that cannot be modeled by objects having sharp boundaries. Other work has focused on point objects whose location is not precisely known and is typically described using a probability distribution. In this paper, we present a new technique for modeling and querying vague spatial objects. Using shapelets, an image decomposition technique developed in astronomy, as base data type, we introduce a comprehensive set of low-level operations that provide building blocks for versatile high-level operations on vague spatial objects. In addition, we describe an implementation of this data model as an extension to PostgreSQL, including an indexing technique for shapelet objects. Unlike existing techniques for modeling and querying vague or fuzzy data, our approach is optimized for localized, smoothly varying spatial objects, and as such is more suitable for many real-world datasets.
Towards in vivo computing: quantitative analysis of an artificial gene regulatory network behaving as a RS flip-flop and simulating the system in silico
Authors: Sikander Hayat, Kai Ostermann, Lutz Brusch, Wolfgang Pompe, Gerhard Rödel
Venue: Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems (2006)

Artificial gene regulatory networks (AGRNs) are instrumental in elucidating basic principles that govern the dynamics and consequences of stochasticity in the gene expression of naturally occurring "gene regulatory networks". In contrast to state of the art computer engineering circuits, these AGRNs are evolutionarily highly optimized and fault tolerant. We draw motivation from the fact that Non-deterministic Polynomial-time (NP) and NP-hard computational tasks can not be solved using conventional computing techniques. This study is a stepping stone towards solving problems such as "Traveling salesman problem" (TSP) in a time bound fashion using interconnection-free bio-computing devices. In this in vivo study we quantitatively show that a reporter gene encoding the green fluorescent protein (GFP) can be switched from high to low expression states and vice versa, thus mimicking a "RS flip-flop". This was accomplished by using the bistable, transgenic AGRN incorporating the N-acyl homoserine lactone (AHL) sensing lux operon from Vibrio fischeri along with a toggle switch in Escherichia coli, developed by Collins et al. (2004). The inducers and temperature act as inputs to the AGRN. GFP expression was quantified using flow cytometry. The "plug and play" property was demonstrated by showing that any output gene could be expressed based on a similar logic. The software model, previously proposed by Collins et al. (2004) was extended and analyzed by incorporating the function of the inducer Isopropyl-&beta;-D-thiogalactopyranoside (IPTG) and temperature. We also demonstrate that such a system is robust and fault tolerant.
Implementation of the Moonquake Database
Authors: Junya Terazono
Venue: Proceedings of the 7th IEEE International Conference on Computer and Information Technology (2007)

To clarify the internal structure of the moon is a key role to unveil the process of birth of the moon and the earth. For this purpose, Apollo astronauts brought seismometers to the moon and more than ten thousand of seismic events are recorded. Now, to utilize these data more usefully, I developed the database of the lunar earthquake (moonquake). This database consists of formatted data, access library and utility programs.
The Standard Particle Swarm Optimization Algorithm Convergence Analysis and Parameter Selection
Authors: Chuan Lin, Quanyuan Feng
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 03 (2007)

Formal sufficient and necessary condition for the deterministic standard PSO algorithm to converge to equilibrium point, diverge to infinity or oscillate within a range is derived based on the discrete time dynamic system theory. General guidelines for parameters selection are provided according to the theory analysis. It is pointed out that, strictly speaking, the currently popular view that small inertia weight will facilitate a local search is not accurate enough. And the condition for the view to hold is given. The simulation results of particle trajectories are given to illustrate and verify the theory analysis.
Knowledge Network Reconstruction by Active/Inactive TM Selection Mechanism for Personal Viewpoint Level Based Retrieval
Authors: JeongYon Shim
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04 (2007)

As modern technology develops, the paradigm of think- ing structure is changing to personal based selecting sys- tem. For catching up this paradigm , it is important to design an intelligent system which has functions of Data selection, Adaptive learning, efficient memory construction and efficient knowledge retrieval. In this paper adapting the function of brain we design Reticular Activating Sys- tem which takes charge of information selection, Knowl- edge network Reconstructing mechanism by Active/Inactive TM Selection in the personal point of view. Type definition and Active/Inactive Type matching selection mechanism are specially implemented for flexible memory structure. This mechanism was applied to virtual memory and tested.