ppxscal/embedding_network huggingface dataset:
MMAN - a monitor for mobile ad hoc networks: design, implementation, and experimental evaluation
Authors: Hanif Kazemi, George Hadjichristofi, Luiz A. DaSilva
Venue: Proceedings of the third ACM international workshop on Wireless network testbeds, experimental evaluation and characterization (2008)

Mobile Ad hoc NETworks (MANETs) are networks in which mobile routers are connected via wireless links forming dynamic topologies. An important function of network management in a MANET is to observe network conditions: at the node level, this may mean keeping track of the traffic load; at the network level, the system must monitor active routes and changes in the network topology. In this research, we introduce a Monitor for Mobile Ad hoc Networks, (MMAN) to address the challenges of monitoring MANETs. We formulate an overall design structure and present an implementation of our framework for a MANET running the Optimized Link State Routing (OLSR) protocol. The unobtrusive and distributed nature of MMAN allows the system to adapt to the constantly changing nature of MANETs and to provide valuable network management, security assessment, and traffic analysis information. Our system produces a dynamic picture of the network level and node level information on a graphical user interface. The system is non-intrusive, generates no additional traffic in the MANET it monitors, and requires only modest processing and storage resources.
Activities of AFIPS History of Computing Committee
Venue: IEEE Annals of the History of Computing (1980)

This short report is to inform readers of the status of activities involving the AFIPS History of Computing Committee, as of June 30, 1979. It is assumed that readers have seen the article that appeared in the first issue of the Annals (Vol. 2, No. 1, JULY-SEPTEMBER 1979), and so that material is certainly not being repeated here. In some ways, this report is a cumulative summary (by the committee chairman) of the results of the first year-and-a-half of AFIPS's first broad-based work in the history of computing. 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
Opportunistic information distribution in challenged networks
Authors: Ryan Metzger, Mooi Choo Chuah
Venue: Proceedings of the third ACM workshop on Challenged networks (2008)

Mobile nodes in some challenging network scenarios suffer from intermittent connectivity and frequent partitions e.g. battlefield and disaster recovery scenarios. Disruption Tolerant Network (DTN) technologies are designed to enable nodes in such environments to communicate with one another. Several DTN routing schemes have been proposed. In order for the DTN technology to be useful, enhancements need to be made to legacy applications e.g. emails, web browsers, instant messaging etc to enable such applications to work over DTNs. In this paper, we present a DTN Jabber proxy which we have developed to allow mobile devices to run Jabber applications over DTN. Our proxy can identify group chat messages which enable our prototype to perform last mile multicast and hence minimize the wireless bandwidth usage.
Management and Reuse of Experience Knowledge in Extrusion Processes
Authors: S. C. Brandt, M. Jarke, M. Miatidis, M. Raddatz, M. Schlüter
Venue: Collaborative and Distributed Chemical Engineering. From Understanding to Substantial Design Process Support: Results of the IMPROVE Project (2008)

Extrusion of rubber profiles, e.g., for the automotive industry, is a highly complex continuous production process which is nevertheless influenced strongly by variability in input materials and other external conditions. As analytical models exist only for small parts of such processes, experience continues to play an important role here, very similar to the situation in the early phases of process engineering studied in CRC IMPROVE. This section therefore describes a transfer research project called MErKoFer conducted jointly with an industrial application partner and a software house founded by former CRC members.In MErKoFer, results from the CRC projects on direct process support (B1, see Sect. 3.1), process data warehousing (C1, Sect. 4.1), and plastics engineering (A3, see Sect. 5.4) were applied and extended. Specifically, knowledge about extrusion processes is captured by ontology-based traceability mechanisms for both direct process support of extrusion operators, and for process analysis and improvement based on an integration of data mining techniques. The accumulated knowledge assists in ensuring defined quality standards and in handling production faults efficiently and effectively. The approach was experimentally implemented and evaluated in the industrial partner's site, and some generalizable parts of the environment were taken up by the software house partner in their aiXPerience software environment for process automation and process information systems.
A Semantic Web Service Oriented Framework for Adaptive Learning Environments
Authors: Stefan Dietze, Alessio Gugliotta, John Domingue
Venue: Proceedings of the 4th European conference on The Semantic Web: Research and Applications (2007)

The current state of the art in supporting e-learning objectives is primarily based on providing a learner with learning content by using metadata standards. Due to this approach, several issues have to be taken into account --- e. g. limited re-usability across different standards and learning contexts and high development costs. To overcome these issues, this paper describes an innovative semantic web service-oriented framework aimed at changing this data- and metadata-based paradigm to a highly dynamic service-oriented approach. Instead of providing a learner with static data, our approach is based on fulfilling learning objectives based on a dynamic supply of services. Therefore, we introduce a semantic layer architecture to abstract from existing learning data as well as process metadata standards by using Semantic Web Service (SWS) technology. Furthermore, our approach is based on abstract and reusable learning process models describing a learning process semantically as a composition of learning goals. Based on the formal semantic descriptions of learning goals as well as web services, services appropriate to achieve a specific learning goal can be selected, composed and invoked dynamically. This supports a high level of re-usability since a dynamic adaptation to different learning contexts and requirements of individual learners is achieved while utilizing standard-compliant learning applications. To illustrate the application of our approach, we describe a prototypical implementation utilizing the introduced approach based on the SWS framework WSMO.
Automatic extraction of important sentences from story based on connecting patterns of propositions
Authors: Hideji Enokizu, Satoshi Murakam, Moriaki Kumasaka, Kazuhiro Uenosono, Seiichi Komiya
Venue: Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases (2008)

In recent years, the world is filled with a large amount of information through the internet and so on. Such a situation increasingly enhances the worth of the automatic text summarization which can support a quick grasp of the text content. The automatic text summarization has so far been accomplished by extracting some important sentences from a text based on various surface cues. To be compared, we tried to devise a new method to extract the important sentences from the story according to the way in which the people comprehend it. In designing this new method, we took account of the narrative comprehension model, that is, how people comprehend the story. In Experiment 1, the participants were asked to select the sentences regarded as important from several stories. Then we examined how the propositions drawn from each important sentence were connected in the propositional network of each story. As a result, we found several distinctive patterns of connecting the propositions. In Experiment 2, it was examined whether those connecting patterns are valid as the rules to extract the important sentences. These two experiments indicated that the important sentences can be automatically extracted from the story on the basis of the distinctive connecting patterns of the propositions in the propositional network.
Knowledge Engineering and Planning for the Automated Synthesis of Customized Learning Designs
Authors: Luis Castillo, Lluvia Morales, Arturo González-Ferrer, Juan Fernández-Olivares, Óscar García-Pérez
Venue: Current Topics in Artificial Intelligence: 12th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2007, Salamanca, Spain, November 12-16, 2007. Selected Papers (2007)

This paper describes an approach to automatically obtain an HTN planning domain from a well structured learning objects repository and also to apply an HTN planner to obtain IMS Learning Designs adapted to the features and needs of every student.
Server Support Approach to Zero Configuration of Power Line Communication Modems and Coaxial Cable Modems
Authors: Daisuke Arai, Kiyohito Yoshihara, Akira Idoue, Hiroki Horiuchi
Venue: Proceedings of the 10th Asia-Pacific Network Operations and Management Symposium on Managing Next Generation Networks and Services (2007)

In this paper, we propose a new approach to auto configure a power line communication modem and a coaxial cable modem with minimum user intervention. The proposed approach is based on the following strategies: (1) An ISP establishes servers, (2) An ISP operator inputs information to configure modems to the server before configuration and (3) The software for the zero configuration of modems is built into a residential gateway. We implement a system based on the proposed approach, and measure the configuration time. The result shows that the configuration time is about 280 seconds. The system allows us to zero configure modems with minimum user intervention and moreover, the configuration time is faster than manual settings.
Supporting Dynamics in Service Descriptions - The Key to Automatic Service Usage
Authors: Ulrich Küster, Birgitta König-Ries
Venue: Proceedings of the 5th international conference on Service-Oriented Computing (2007)

In realistic settings, service descriptions will never be precise reflections of the services really offered. An online seller of notebooks, for instance, will most certainly not describe each and every notebook offered in his service description. This imprecision causes poor quality in discovery results. A matcher will be able to find potentially matching services but can give no guarantees that the concrete service needed will really be provided. To alleviate this problem, a contract agreement phase between service provider and requester following the discovery has been suggested in the literature. In this paper, we present an approach to the automation of this contracting. At the heart of our solution is the possibility to extend service descriptions with dynamically changing information and to provide several means tailored to the abilities of the service provider to obtain this information at discovery time.
The Changing Impact of Semiconductor Technology on Processor Architecture
Authors: Ray Simar
Venue: Proceedings of the 3rd international conference on High Performance Computing and Communications (2007)

We stand on the brink of a fundamental discontinuity in silicon process-technology unlike anything most of us have seen. For almost two decades, a period of time spanning the entire education and careers of many engineers, we have been beneficiaries of a silicon process-technology which would let us build almost anything we could imagine. Now, all of that is about to change. For the past five years, capacitive loading of interconnect has grown to be a significant factor in logic speed, and has limited the scaling of integrated-circuit performance. To compound the problem, recently interconnect resistance has also started to limit circuit speed. These factors can render obsolete current designs and current thinking as interconnect-dominated designs and architectures will become increasingly irrelevant. Given these fundamental interconnect challenges, we must turn to architecture, logic design and programming solutions. The background on these dramatic changes in semiconductor technology will be discussed in the hopes that the solutions for the future may very well come from the attendees of HPCC 2007!
The Relay Calculator Z4
Authors: A. P. Speiser
Venue: IEEE Annals of the History of Computing (1980)

The relay calculator Z4 was designed by Konrad Zuse in Berlin during the last years of World War II. It occupies a unique place in the family of early digital computers. Some of the outstanding characteristics of the Z4 were use of the binary system with floating point, mechanical 2048-bit memory, and provision for intermediate data storage on punched tape.
CSCL Data Structurization and Inter-LMS Sharing with Use of Web Services
Authors: Yasuhisa Tamura, Kazuya Sumi, Takeshi Yamamuro, Masashi Maejima
Venue: Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III (2008)

The authors specified XML bindings for CSCL data interchange, and developed an automatic CSCL data exchange function among LMSs. Conventional CSCL activities are processed without exchanging any information with other learner groups, even they are discussing the same topic. With use of the proposing function, a learner group is able to acquire basic information, related references and various standpoints for the given topic during the discussion or in advance. In order to execute XML based inter-LMS data transmission, XML bindings named COLCOX was specified. Also, an open source LMS of Moodle was utilized and expanded to install the proposing function to transmit CSCL data. With use of the proposing function, a learner group is able to get scaffolding information and knowledge on CSCL activities.
Intermonth Regularity Classification of Volatile Mobile Internet Users
Authors: Toshihiko Yamakami
Venue: Proceedings of the 2008 International Conference on Convergence and Hybrid Information Technology (2008)

Penetration of the mobile Internet is increasing worldwide. It amplifies importance of mobile user behavior analysis in research and in industry. The author analyzed a volatile mobile data service based on an assumption that users who visit after a long interval within the same day have a high probability of revisiting the web site in the following month. This is based on a hybrid approach that combines a quantitative measure in mobile clickstream mining and behavior modeling of mobile users. Classification of loyal users is done based on the revisit ratio in the following month. A case study of a commercial car information service provides positive results on the classification of loyal users. The author also discusses the classification accuracy from a cross-service comparison perspective.
Collaborative Identification of Haptic-Only Objects
Authors: Will Pearson, Mike Fraser
Venue: Proceedings of the 6th international conference on Haptics: Perception, Devices and Scenarios (2008)

Research has highlighted difficulties that individuals encounter in identifying haptic-only objects, i.e. objects with three dimensional surfaces which are only represented to users in the haptic modality. This paper investigates whether and how collaboration between distributed users supports identification processes. We present a qualitative study in which pairs of participants collaboratively identify haptic objects. Our study uses conversation analysis to reveal benefits and problems in communication between participants. We highlight shared exploration strategies, techniques for mutual correction, and issues around understanding haptic device use in the remote space. This leads us to suggest that haptic devices should be actuated to match a remote device's movements, synchronising perspectives on haptic features and allowing mutual orientation to be established while retaining a user's spatial understanding of the haptic workspace.
Self-management Framework for Unmanned Autonomous Vehicles
Authors: Eskindir Asmare, Morris Sloman
Venue: Proceedings of the 1st international conference on Autonomous Infrastructure, Management and Security: Inter-Domain Management (2007)

In this paper we identify the challenges in enabling self-management for Unmanned Autonomous Vehicles and briefly outline our policy-based approach for realising a self-management framework. We also present preliminary results.
Autonomous agent learning using an actor-critic algorithm and behavior models
Authors: Victor Uc Cetina
Venue: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3 (2008)

We introduce a Supervised Reinforcement Learning (SRL) algorithm for autonomous learning problems where an agent is required to deal with high dimensional spaces. In our learning algorithm, behavior models learned from a set of examples, are used to dynamically reduce the set of relevant actions at each state of the environment encountered by the agent. Such subsets of actions are used to guide the agent through promising parts of the action space, avoiding the selection of useless actions. The algorithm handles continuous states and actions. Our experimental work with a difficult robot learning task shows clearly how this approach can significantly speed up the learning process and improve the final performance.
CDNs with Global Adaptive Request Distribution
Authors: Leszek Borzemski, Krzysztof Zatwarnicki
Venue: Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II (2008)

This paper presents the application of fuzzy logic and neural networks to HTTP request dispatching performed within Content Delivery Network. We propose a global request distribution algorithm called GARD to support request routing to the surrogate servers that deliver the requested content in an efficient manner. The algorithm uses the fuzzy-neural decision-making mechanism to assign each incoming request to the server with the least expected response time. The response time include the transmission time over the network, both for the request and for the response, as well as the time elapsed on the server responding to the request. We demonstrate through the simulations that our algorithm is more effective than popular dispatching policies as Round-Robin and Weighted Round-Robin. We also show that in case of non-evenly loaded environment the GARD algorithm outperforms RTT algorithm which is often used in CDNs.
A Personal Computer-based Speech Analysis And Synthesis System
Authors: Yousif El-imam
Venue: IEEE Micro (1987)

An IBM PC XT enhanced with speech boards and added memory permits researchers to experiment in language synthesis before final commitment to a target speech synthesizer.
Modelling the Tunability of Early T Cell Signalling Events
Authors: Nick D. Owens, Jon Timmis, Andrew Greensted, Andy Tyrrell
Venue: Proceedings of the 7th international conference on Artificial Immune Systems (2008)

The Tunable Activation Threshold hypothesis of T Cells is investigated through computational modelling of T cell signalling pathways. Modelling techniques involving the ¿-calculus and the PRISM model checker are presented, and are applied to produce a stochastic model of T cell signalling. Initial results which demonstrate tuning of T cells are presented.
Robust reconstruction of low-resolution document images by exploiting repetitive character behaviour
Authors: Hi&#x00ea;p Q. Luong, Wilfried Philips
Venue: International Journal on Document Analysis and Recognition (2008)

In this paper, we present a new approach for reconstructing low-resolution document images. Unlike other conventional reconstruction methods, the unknown pixel values are not estimated based on their local surrounding neighbourhood, but on the whole image. In particular, we exploit the multiple occurrence of characters in the scanned document. In order to take advantage of this repetitive behaviour, we divide the image into character segments and match similar character segments to filter relevant information before the reconstruction. A great advantage of our proposed approach over conventional approaches is that we have more information at our disposal, which leads to a better reconstruction of the high-resolution (HR) image. Experimental results confirm the effectiveness of our proposed method, which is expressed in a better optical character recognition (OCR) accuracy and visual superiority to other traditional interpolation and restoration methods.
Norms and Swarms
Authors: Mark Burgess, Siri Fagernes
Venue: Proceedings of the 1st international conference on Autonomous Infrastructure, Management and Security: Inter-Domain Management (2007)

This paper describes a position for work in progress. We offer a definition of a "swarm" using the management concepts of promises and information rather than the programmed rules commonly used to mimick swarm behaviour. We look for a general and underlying meaning to swarms as a form of organization. Noting that swarms lead to an autonomous reduction of total information of the ensemble of agents, we propose that our definition of swarming suggests criteria for achieving fully decentralized, ad hoc network management without dedicated specialist controllers.
Reducing US Cyber Security Vulnerabilities
Authors: Staff
Venue: I-WAYS - The Journal of E-Government Policy and Regulation (2005)

"The American IT infrastructure is highly vulnerable to premeditated attacks with potentially catastrophic effects," concluded the President's Information Technology Advisory Committee (PITAC) in a new report Cyber Security: A Crisis of Prioritization. "This infrastructure encompasses not only the best-known uses of the public Internet - E-Commerce, communications and Web services - but also the less visible systems and connections of the Nation's critical infrastructure such as power grids, air traffic control systems, financial systems, and military and intelligence systems. The growing dependence of these critical infrastructures on the IT infrastructure means that the former cannot be secure if the latter is not." The PITAC is appointed by the President to provide independent expert advice on maintaining America's preeminence in advanced IT. PITAC members are IT leaders in industry and academic with expertise relevant to critical elements of the national IT infrastructure such as high-performance computing, large-scale networking, and high-assurance software and system design. This report may be obtained from: http://www.nitrd.gov/pitac/. The following are excerpts from the report. 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