ppxscal/embedding_network huggingface dataset:
A Performance Comparison of Wireless Ad Hoc Network Routing Protocols under Security Attack
Authors: Su Mon Bo, Hannan Xiao, Aderemi Adereti, James A. Malcolm, Bruce Christianson
Venue: Proceedings of the Third International Symposium on Information Assurance and Security (2007)

The unique characteristics of a mobile ad hoc network (MANET), such as dynamic topology, shared wireless medium and open peer-to-peer network architecture, pose various security challenges. This paper compares three routing protocols, DSDV, DSR, and AODV under security attack where two types of node misbehaviour have been investigated. Network performance is evaluated in terms of normalized throughput, routing overhead, normalized routing load, and average packet delay, when a percentage of nodes misbehave. Simulation results show that although the performance of all three routing protocols degrades, DSDV is the most robust routing protocol under security attacks. This reveals that a proactive routing protocol has the potential of excluding misbehaving nodes in advance and reducing the impact of security attack.
Close form derivation of state-density functions over DBM domains in the analysis of non-Markovian models
Authors: L. Sassoli, E. Vicario
Venue: Proceedings of the Fourth International Conference on Quantitative Evaluation of Systems (2007)

Quantitative evaluation of models allowing multiple concurrent non-exponential timers requires enumeration and analysis of non-Markovian processes. In general, these processes may be not isomorphic to those obtained from the corresponding untimed models, due to implicit precedences induced by timing constraints on concurrent events. The analysis of stochastic Time Petri Nets (sTPNs) copes with the problem by covering the state space with stochastic classes, which extend Difference Bounds Matrix (DBM) theory with a state density function providing a measure of probability for the variety of states collected within a class. In this paper, we extend the theory of stochastic classes providing a close form calculus for the derivation of the state density function under the assumption that all transitions have an expolynomial distribution. The characterization provides insight on how the form of the state density function evolves when transitions fire and the stochastic class accumulates memory and provide the basis for an efficient implementation which drastically reduces analysis complexity.
Evaluation Model of Customer Satisfaction of B2C E_Commerce Based on Combination of Linguistic Variables and Fuzzy Triangular Numbers
Authors: Peide Liu
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03 (2007)

Under electronic commerce, how to raise the consumers' degree of satisfaction and gain the consumers' loyalty have become the key factor relating with whether e-commerce enterprise can survive, so it's vital to evaluate status of customer satisfaction for B2C Electronic-Commerce Enterprise. According to the investigation result by internet, this paper brings forward the indicator system of customer satisfaction evaluation for B2C electronic-commerce enterprise on the basis of current study of home and oversea and the related reference, and establishes the performance evaluation model based on combination of Linguistic Variables and Fuzzy Triangular Numbers, and also do some example research. The examples demonstrated that: evaluation model based on combination of Linguistic Variables and Fuzzy Triangular Numbers can do well in evaluation.
An Approach To QoS-Driven Engine For Spatial Knowledge Processing
Authors: Mingjun Xin, Quan Qian, Yingyong Chen, Weihua Li
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01 (2007)

On the basis of introducing our knowledge collaborative processing model (KCPM) to support spatial domain problem solving, this study puts forward a self-adaptive QoS structure oriented to spatial knowledge mining, collaborative management, composite model resource sharing and real-time data resource sharing in the spatial domain. Then, we put our further research on knowledge collaborative processing mechanism and active control tactics for the spatial domain problem distributed solving, which will help to realize the collaborative processing mode on spatial domain model resource and data resource sharing under the computer supported cooperative work (CSCW) environment. Furthermore, take the spatial pilot intelligent assistant (PIA) as an example, this study develops a QoS-driven engine for knowledge collaborative processing platform oriented to spatial complicated problem solving. Therefore, the capability of spatial multi-dimension collaborative communications and commands controlling on solving spatial domain problem is highly enhanced, so that the effective strategic active status will be rapidly achieved in the future spatial domain applications.
Rule generation and model selection used for medical diagnosis
Authors: Jürgen Paetz, Rüdiger Brause
Venue: Journal of Intelligent Fuzzy Systems: Applications in Engineering and Technology (2002)

In medical data analysis classification combined with rule generation is a common technique to obtain diagnosis results together with a rule based explanation. In this contribution we apply a neural network based rule generator in the domain of septic shock research. The septic shock is of special interest in intensive care medicine due to its high lethality rate. We describe the functionality of the neuro-fuzzy algorithm and present classification and rule generation results of our analysis. Because we repeated our analysis with randomly selected test data to calculate statistically valid mean results, we generated one neural network with different architecture for each repetition. To decide the important question which of the different models should be used in the application phase, we propose a useful method based on similarity measures for rules resp. rule sets to select one representative network out of the set of trained networks.
Can you talk or only touch-talk: A VoIP-based phone feature for quick, quiet, and private communication
Authors: Maria Danninger, Leila Takayama, Qianying Wang, Courtney Schultz, Jörg Beringer, Paul Hofmann, Frankie James, Clifford Nass
Venue: Proceedings of the 9th international conference on Multimodal interfaces (2007)

Advances in mobile communication technologies have allowed people in more places to reach each other more conveniently than ever before. However, many mobile phone communications occur in inappropriate contexts, disturbing others in close proximity, invading personal and corporate privacy, and more broadly breaking social norms. This paper presents a telephony system that allows users to answer calls quietly and privately without speaking. The paper discusses the iterative process of design, implementation and system evaluation. The resulting system is a VoIP-based telephony system that can be immediately deployed from any phone capable of sending DTMF signals. Observations and results from inserting and evaluating this technology in real-world business contexts through two design cycles of the Touch-Talk feature are reported.
The differences of COTS-based project stakeholders
Authors: Yunmei Du, Shixian Li
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03 (2007)

Stakeholder cooperation is important for conducting a successful software project. The software industry has increasingly expanded its adoption of COTS components for complex applications. The stakeholders of COTS-based projects differ considerably from these of conventional custom development projects. All members of the project team should print the COTS-inclusion concept deeply within their mind. There are also great changes in roles and needed skills. For COTS-based project, it is crucial to understand all classes of stakeholders, their responsibilities, and inter-collaboration relationships by contrasting with traditional software development. According to the characteristics of COTS-based project, focusing on the differences, this paper is regulated to elaborate on all stakeholder roles and corresponding responsibilities, the differences with custom-development project, and the cooperation relationship between stakeholders.
The Tedium Development Environment for Information Systems
Authors: B. I. Blum
Venue: IEEE Software (1987)

This adaptable, flexible environment offers insights on how to enhance software-development productivity and maintainability.
Distribution Design of Logical Database Schemas
Authors: S. Ceri
Venue: IEEE Transactions on Software Engineering (1983)

The optimal distribution of a database schema over a number of sites in a distributed network is considered. The database is modeled in terms of objects (relations or record sets) and links (predefined joins or CODASYL sets). The design is driven by user-supplied information about data distribution. The inputs required by the optimization model are: 1) cardinality and size information about objects and links, 2) a set of candidate horizontal partitions of relations into fragments and the allocations of the fragments, and 3) the specification of all important transactions, their frequencies, and their sites of origin.
Process damage-free damascene metal gate technology for gentle integration of epitaxially grown high-k
Authors: Ralf Endres, Yordan Stefanov, Frank Wessely, Florian Zaunert, Udo Schwalke
Venue: Microelectronic Engineering (2008)

This paper presents the first successful attempt to integrate crystalline high-k gate dielectrics into a virtually damage-free damascene metal gate process. Process details as well as initial electrical characterization results on fully functional gate Gd"2O"3 dielectric MOSFETs with equivalent oxide thickness (EOT) down to 1.9nm are discussed and compared with devices with rare-earth gate dielectrics fabricated previously in a conventional CMOS process.
Verification of parameterized hierarchical state machines using action language verifier
Authors: T. Yavuz-Kahveci
Venue: Proceedings of the 2nd ACM/IEEE International Conference on Formal Methods and Models for Co-Design (2005)

Action language verifier (ALV) is an infinite-state symbolic model checker. ALV can verify (or falsify, by generating counter-examples) temporal logic properties of systems that can be modeled using a combination of Boolean logic and linear arithmetic expressions on Boolean, enumerated and (possibly unbounded) integer variables and parameterized integer constants. In this paper, we apply ALV to the verification of parameterized hierarchical state machine specifications. We extend the standard notation for hierarchical state machines by introducing primitives for explicit specification of asynchronous processes and their finite and parameterized instantiations. We define the formal semantics of these primitives, where the states of the parameterized processes are mapped to integer variables using the counting abstraction technique. We apply the presented approach to the specification and analysis of an airport ground traffic controller and verify several correctness properties of this specification using ALV.
Mobile ad hoc relaying for upward vertical handoff in hybrid WLAN/cellular systems
Authors: Pejman Khadivi, Terence D. Todd, Shadrokh Samavi, Hossein Saidi, Dongmei Zhao
Venue: Ad Hoc Networks (2008)

One of the main issues in hybrid wireless networks is vertical handoff. Dropping probability is one of the important parameters that must be considered in planning the wireless communication systems. However, there has not been much effort in dropping rate reduction in loosely coupled hybrid wireless networks. In loosely coupled WLAN/cellular systems the system administrator of the WLAN is different from the cellular one. Therefore, in these situations, reducing the dropping probability based on classical methods such as using reserved guard channels is difficult. A handoff from a WLAN to a cellular system occurs when a multi-mode device moves out of the WLANs coverage area. This is an upward vertical handoff in a hybrid network. In this paper, we propose to employ ad hoc relaying during the upward vertical handoff in a hybrid WLAN/cellular system. Two-hop and multi-hop relaying approaches, which we propose in this paper, improve the dropping probability regardless of the number of reserved channels. Simulation results support the effectiveness of the proposed methods. Also, practical routing protocols are proposed in order to implement the suggested relaying methods.
The Architectural Evolution of a High-Performance Graphics Terminal
Authors: Douglas Doornink, John Dalrymple
Venue: IEEE Computer Graphics and Applications (1984)

By using a microcoded picture processor, Tektronix engineers were able to meet higher performance requirements within the tight constraints set by an existing family of terminals.
Overcoming organizational challenges to secure knowledge management
Authors: Finn Olav Sveen, Eliot Rich, Matthew Jager
Venue: Information Systems Frontiers (2007)

Incident management systems have the potential to improve security dramatically but often experience problems stemming from organizational, interpersonal and social constraints that limit their effectiveness. These limits may cause underreporting of incidents, leading to erroneous perceptions of the actual safety and security situation of the organization. The true security situation may be better understood and underreporting may be reduced if underlying systemic issues surrounding security incident management are taken into account. A dynamic simulation, based on the parallel experience of industrial incident management systems, illustrates the cumulative effects of rewards, learning, and retributions on the fate of a hypothetical knowledge management system designed to collect information about events and incidents. Simulation studies are part of an ongoing research project to develop sustainable knowledge and knowledge transfer tools that support the development of a security culture.
Applying fuzzy goal programming to production/transportation planning decisions in a supply chain
Authors: Tien-Fu Liang
Venue: International Journal of Systems Science (2007)

In real-world production/transportation planning decision (PTPD) problems in a supply chain, because of the conflicting nature of the multiple objectives and the vagueness in information regarding the environmental coefficients and related parameters, conventional deterministic methods are unsuitable for yielding an effective solution. This study presents a fuzzy goal programming approach for solving the integrated PTPD problems with fuzzy multiple goals in uncertain environments. The proposed model aims to simultaneously minimize the total distribution and production costs, the total number of rejected items, and the total delivery time with reference to available capacity, labor level and quota flexibility constraints at each source, as well as forecasting demand and warehouse space at each destination. The proposed approach adopts the piecewise linear membership functions to represent the fuzzy goals of the decision maker for the integrated PTPD problems in a supply chain, and achieves more flexible doctrines via an interactive decision-making process. The analytical results obtained by implementing an industrial case indicate that the proposed approach is practically applicable for the solving the integrated multi-objective PTPD problems in uncertain environments, and can effectively improve producer/distributor relationships in a supply chain.
A New Methodology for Designing Next Generation Networks Components Type Approval Labs
Authors: Hamideh Sabaei, Mohammad Dindoost, Hasan Yeganeh
Venue: Proceedings of the Second International Conference on Systems and Networks Communications (2007)

This paper presents a new methodology for designing type approval Labs of next generation networks. This methodology is based on recognizing and categorizing of required tests, test methods, system under test characteristics, investigating and determining Lab structure based on protocol (system under test) features, Lab configuration and its modules. Against existing Labs, Labs which implemented based on this method will be complete, total and can cover all requirements. By these Labs all the conformance, functional, performance and interoperability tests can be done. In addition to these Labs can be used as a development platform for future products. To prove practicality of announced methodology, SIP type approval Lab designed and implemented based on these methodology steps.
Protecting fair use from digital rights management in china
Authors: Huijia Xie
Venue: Proceedings of the 2007 ACM workshop on Digital Rights Management (2007)

The widespread applications of the digital rights management (DRM) in China now are challenging its traditional fair use doctrine. This paper gives an analysis of the existing Chinese laws and regulations that could be applied to protect fair use from DRM, focusing on the Chinese Copyright Act (CCA), the Regulations on the Protection of the Right of Communication through the Information Network (RPRCIN), Chinese Contract Law Code (CCLC), Chinese Consumer Rights and Interests Protection Law (CCRIPL), Chinese Anti-unfair Competition Law (CACL), explaining their meaning and application, and emphasizing their limitations. Against this background, the paper seeks to explore the possible approach that China could adopt to protect fair use from DRM, highlighting the CCA should shift the anti-circumvention legislation paradigm and incorporate standard contract terms as well as other pro-consumer regulations.
Exploring consumer adoption of mobile payments - A qualitative study
Authors: Niina Mallat
Venue: The Journal of Strategic Information Systems (2007)

This paper presents a qualitative study on consumer adoption of mobile payments. The findings suggest that the relative advantage of mobile payments is different from that specified in adoption theories and include independence of time and place, availability, possibilities for remote payments, and queue avoidance. Furthermore, the adoption of mobile payments was found to be dynamic, depending on certain situational factors such as a lack of other payment methods or urgency. Several other barriers to adoption were also identified, including premium pricing, complexity, a lack of critical mass, and perceived risks. The findings provide foundation for an enhanced theory on mobile payment adoption and for the practical development of mobile payment services.
Using Model Differencing for Architecture-level Regression Testing
Authors: Henry Muccini
Venue: Proceedings of the 33rd EUROMICRO Conference on Software Engineering and Advanced Applications (2007)

Regression testing can be systematically applied at the software architecture level in order to reduce the cost of retesting modified systems, and also to assess the regression testability of the evolved system. With the advent of model-based specification and analysis of software architectures, regression testing at the architectural level can be handled by analyzing how the architectural model evolves when moving from an initial to a subsequent version. This paper analyzes how model differencing, a recent research topic in the model-based community, can be employed for implementing model-based architecture-level regression testing.
Penalized Model-Based Clustering with Application to Variable Selection
Authors: Wei Pan, Xiaotong Shen
Venue: The Journal of Machine Learning Research (2007)

Variable selection in clustering analysis is both challenging and important. In the context of model-based clustering analysis with a common diagonal covariance matrix, which is especially suitable for "high dimension, low sample size" settings, we propose a penalized likelihood approach with an L1 penalty function, automatically realizing variable selection via thresholding and delivering a sparse solution. We derive an EM algorithm to fit our proposed model, and propose a modified BIC as a model selection criterion to choose the number of components and the penalization parameter. A simulation study and an application to gene function prediction with gene expression profiles demonstrate the utility of our method.
Microsystems Interprocessor Communication for Multi-Microcomputer Systems
Authors: P. M. Russo
Venue: Computer (1977)

Since the announcement of the first commercial microprocessor in 1971, integrated CPU's have evolved from mere laboratory curiosities to ubiquitous fundamental system building blocks. Moreover, rapid advances in LSI technology during the early 1970' s have resulted in ever larger RAMs and ROMs-RAMs containing 4096 bits on a single chip are already being delivered in quantity and chips containing 16,384 bits are becoming readily available.
Connect-Based Subgoal Discovery for Options in Hierarchical Reinforcement Learning
Authors: Fei Chen, Yang Gao, Shifu Chen, Zhenduo Ma
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 04 (2007)

This paper presents a new method which uses a connect-based thought to automatically discover subgoals in a dynamic environment. We argue that the states which are not only visited frequently in the whole space but also have a relative high visiting frequency in their neighboring regions performing a critical role in connecting the neighbor states are subgoals, and then propose a novel algorithm for identifying them by considering one state who has a high sum of the relative exceeding frequencies from all its neighbor states as a subgoal. Most earlier methods actually discover a frequent visited region and then filter and select the critical states in this region, but our method directly discovers the critical states of a frequent visited region in the space without generating excessive useless candidates. Combining the global and local perspectives is a key property of our algorithm and the one that differentiates it from most of existing works in this area. Experiments show that this simple and robust approach detects subgoals quickly and correctly.
Recurrent fuzzy network design using hybrid evolutionary learning algorithms
Authors: Chia-Feng Juang, I-Fang Chung
Venue: Neurocomputing (2007)

This paper proposes a recurrent fuzzy network design using the hybridization of a multigroup genetic algorithm and particle swarm optimization (R-MGAPSO). The recurrent fuzzy network designed here is the Takagi-Sugeno-Kang (TSK)-type recurrent fuzzy network (TRFN), in which each fuzzy rule comprises spatial and temporal sub-rules. Both the number of fuzzy rules and the parameters in a TRFN are designed simultaneously by R-MGAPSO. In R-MGAPSO, the techniques of variable-length individuals and the local version of particle swarm optimization are incorporated into a genetic algorithm, where individuals with the same length constitute the same group, and there are multigroups in a population. Population evolution consists of three major operations: elite enhancement by particle swarm optimization, sub-rule alignment-based crossover, and mutation. To verify the performance of R-MGAPSO, dynamic plant and a continuous-stirred tank reactor controls are simulated. R-MGAPSO performance is also compared with genetic algorithms in these simulations.