The Experts below are selected from a list of 8001 Experts worldwide ranked by ideXlab platform
Harin Vadodaria - One of the best experts on this subject based on the ideXlab platform.
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Web Service Ranking Using Semantic Profile Information
2009 IEEE International Conference on Web Services, 2009Co-Authors: Umesh Bellur, Harin VadodariaAbstract:The promise of dynamic binding and the ability to dynamically and seamlessly move between service providers can only be realized through the path of semantic expressibility. Once we describe the semantics of a service in itpsilas advertisement, a semantic matchmaker can match a query with the set of advertisements that satisfy the query conditions. The state of the art today uses the IOPE (Inputs Outputs Preconditions and Effects) form of advertisements with languages such as OWL-S being used to represent the semantics. Inputs and outputs usually refer to concepts in an ontology. Many semantic matchmakers exist today and they focus on matching the IOPE form of the advertisement to the query. This may result in many matches and they return a set of matched advertisements without rank ordering them. We believe itpsilas important to rank the returned set of services in order to choose the best service. In this paper we present such a ranking algorithm that uses the IOPE Information present in the each of the services relative to the query. Our algorithm can complement other approaches that use the history of issued queries and data mining. We have evaluated the effectiveness of the ranking algorithm against a benchmark ranking that is done manually and shown that our ranking scheme is close to the best ranking scheme possible.
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ICWS - Web Service Ranking Using Semantic Profile Information
2009 IEEE International Conference on Web Services, 2009Co-Authors: Umesh Bellur, Harin VadodariaAbstract:The promise of dynamic binding and the ability to dynamically and seamlessly move between service providers can only be realized through the path of semantic expressibility. Once we describe the semantics of a service in it’s advertisement, a semantic matchmaker can match a query with the set of advertisements that satisfy the query conditions. The state of the art today uses the IOPE (Inputs Outputs Preconditions and Effects) form of advertisements with languages such as OWL-S being used to represent the semantics. Inputs and outputs usually refer to concepts in an ontology. Many semantic matchmakers exist today and they focus on matching the IOPE form of the advertisement to the query. This may result in many matches and they return a set of matched advertisements without rank ordering them. We believe it’s important to rank the returned set of services in order to choose the best service. In this paper we present such a ranking algorithm that uses the IOPE Information present in the each of the services relative to the query. Our algorithm can complement other approaches that use the history of issued queries and data mining. We have evaluated the effectiveness of the ranking algorithm against a benchmark ranking that is done manually and shown that our ranking scheme is close to the best ranking scheme possible.
Andrew M. Hardin - One of the best experts on this subject based on the ideXlab platform.
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HICSS - Multi-criteria Decision Support for Investment Decisions: Examining the Interactive Effects of Risk Profile, Information Horizon, and Prospect Format
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Clayton Arlen Looney, Andrew M. HardinAbstract:Using a psychological approach toward designing a Multi-Criteria Decision Support Systems (MCDSS), three prominent design features -- risk Profile, Information horizon, and prospect format -- are embedded in a MCDSS to help users overcome a tendency to build overly conservative investment portfolios. Consistent with myopic loss aversion theory, users exhibit a decreased willingness to take calculated risks when a MCDSS presents risk Profiles with more variation and larger probabilities and magnitudes of losses. Such risk Profiles prove particularly problematic when extended Information horizons (e.g., 10 years) prevail. Regardless of risk Profile, a MCDSS can activate heuristic-based decision processes by presenting multi-trial prospects in a manner that overwhelms cognitive capacity. Implications for theory and practice are discussed.
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Multi-criteria Decision Support for Investment Decisions: Examining the Interactive Effects of Risk Profile, Information Horizon, and Prospect Format
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Clayton Arlen Looney, Andrew M. HardinAbstract:Using a psychological approach toward designing a Multi-Criteria Decision Support Systems (MCDSS), three prominent design features -- risk Profile, Information horizon, and prospect format -- are embedded in a MCDSS to help users overcome a tendency to build overly conservative investment portfolios. Consistent with myopic loss aversion theory, users exhibit a decreased willingness to take calculated risks when a MCDSS presents risk Profiles with more variation and larger probabilities and magnitudes of losses. Such risk Profiles prove particularly problematic when extended Information horizons (e.g., 10 years) prevail. Regardless of risk Profile, a MCDSS can activate heuristic-based decision processes by presenting multi-trial prospects in a manner that overwhelms cognitive capacity. Implications for theory and practice are discussed.
Umesh Bellur - One of the best experts on this subject based on the ideXlab platform.
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Web Service Ranking Using Semantic Profile Information
2009 IEEE International Conference on Web Services, 2009Co-Authors: Umesh Bellur, Harin VadodariaAbstract:The promise of dynamic binding and the ability to dynamically and seamlessly move between service providers can only be realized through the path of semantic expressibility. Once we describe the semantics of a service in itpsilas advertisement, a semantic matchmaker can match a query with the set of advertisements that satisfy the query conditions. The state of the art today uses the IOPE (Inputs Outputs Preconditions and Effects) form of advertisements with languages such as OWL-S being used to represent the semantics. Inputs and outputs usually refer to concepts in an ontology. Many semantic matchmakers exist today and they focus on matching the IOPE form of the advertisement to the query. This may result in many matches and they return a set of matched advertisements without rank ordering them. We believe itpsilas important to rank the returned set of services in order to choose the best service. In this paper we present such a ranking algorithm that uses the IOPE Information present in the each of the services relative to the query. Our algorithm can complement other approaches that use the history of issued queries and data mining. We have evaluated the effectiveness of the ranking algorithm against a benchmark ranking that is done manually and shown that our ranking scheme is close to the best ranking scheme possible.
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ICWS - Web Service Ranking Using Semantic Profile Information
2009 IEEE International Conference on Web Services, 2009Co-Authors: Umesh Bellur, Harin VadodariaAbstract:The promise of dynamic binding and the ability to dynamically and seamlessly move between service providers can only be realized through the path of semantic expressibility. Once we describe the semantics of a service in it’s advertisement, a semantic matchmaker can match a query with the set of advertisements that satisfy the query conditions. The state of the art today uses the IOPE (Inputs Outputs Preconditions and Effects) form of advertisements with languages such as OWL-S being used to represent the semantics. Inputs and outputs usually refer to concepts in an ontology. Many semantic matchmakers exist today and they focus on matching the IOPE form of the advertisement to the query. This may result in many matches and they return a set of matched advertisements without rank ordering them. We believe it’s important to rank the returned set of services in order to choose the best service. In this paper we present such a ranking algorithm that uses the IOPE Information present in the each of the services relative to the query. Our algorithm can complement other approaches that use the history of issued queries and data mining. We have evaluated the effectiveness of the ranking algorithm against a benchmark ranking that is done manually and shown that our ranking scheme is close to the best ranking scheme possible.
Clayton Arlen Looney - One of the best experts on this subject based on the ideXlab platform.
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HICSS - Multi-criteria Decision Support for Investment Decisions: Examining the Interactive Effects of Risk Profile, Information Horizon, and Prospect Format
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Clayton Arlen Looney, Andrew M. HardinAbstract:Using a psychological approach toward designing a Multi-Criteria Decision Support Systems (MCDSS), three prominent design features -- risk Profile, Information horizon, and prospect format -- are embedded in a MCDSS to help users overcome a tendency to build overly conservative investment portfolios. Consistent with myopic loss aversion theory, users exhibit a decreased willingness to take calculated risks when a MCDSS presents risk Profiles with more variation and larger probabilities and magnitudes of losses. Such risk Profiles prove particularly problematic when extended Information horizons (e.g., 10 years) prevail. Regardless of risk Profile, a MCDSS can activate heuristic-based decision processes by presenting multi-trial prospects in a manner that overwhelms cognitive capacity. Implications for theory and practice are discussed.
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Multi-criteria Decision Support for Investment Decisions: Examining the Interactive Effects of Risk Profile, Information Horizon, and Prospect Format
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Clayton Arlen Looney, Andrew M. HardinAbstract:Using a psychological approach toward designing a Multi-Criteria Decision Support Systems (MCDSS), three prominent design features -- risk Profile, Information horizon, and prospect format -- are embedded in a MCDSS to help users overcome a tendency to build overly conservative investment portfolios. Consistent with myopic loss aversion theory, users exhibit a decreased willingness to take calculated risks when a MCDSS presents risk Profiles with more variation and larger probabilities and magnitudes of losses. Such risk Profiles prove particularly problematic when extended Information horizons (e.g., 10 years) prevail. Regardless of risk Profile, a MCDSS can activate heuristic-based decision processes by presenting multi-trial prospects in a manner that overwhelms cognitive capacity. Implications for theory and practice are discussed.
N. Morinaga - One of the best experts on this subject based on the ideXlab platform.
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Performance of the delay Profile Information channel based subcarrier transmit power control technique for OFDM/FDD systems
Electronics and Communications in Japan Part I-communications, 2003Co-Authors: N. Maeda, S. Sampei, N. MorinagaAbstract:The convolutionally encoded OFDM (Orthogonal Frequency Division Multiplexing) scheme, is an effective approach that is superior in its robustness to frequency-selective fading and in assuring high transmission quality in a broadband wireless transmission system. However, since the burst length becomes shorter as the transmission speed becomes higher, there are problems of reduced coding gain due to lack of interleaving effect and of increased transmission power with increased bandwidth. These problems are particularly significant in the application to indoor environments in which the demand for high-speed transmission is high and the Doppler frequency is small. Hence, further improvement of receiver sensitivity and reduction of transmit power are indispensable. In this paper, a subcarrier transmit power control technique is proposed in which the delay Profile Information estimated using a pilot channel is reported to the message sender and the transmit power is controlled to make the receiving condition for each subcarrier constant based on the obtained delay Profile Information, so that the receiver sensitivity is improved by transmit power control. Further, the use of PNPA (Partial Non-Power Allocation), which suppresses excessive transmit power caused by the application of the subcarrier transmit power control, is considered. When the transmission characteristics of the proposed scheme are evaluated by computer simulation, it is confirmed that the error correcting capability can be improved drastically by the proposed scheme and that the transmit power can be reduced substantially. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 1, 86(5): 72–80, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecja.1163
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PIMRC - A delay Profile Information based subcarrier power control combined with a partial non-power allocation technique for OFDM/FDD systems
11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525), 2000Co-Authors: N. Maeda, S. Sampei, N. MorinagaAbstract:This paper proposes a delay Profile Information based subcarrier power control combined with a partial non-power allocation technique for OFDM/FDD systems to achieve high bit-rate and high quality non-voice data transmission for wireless communication systems. To improve the bit error rate (BER) performances for the convolutionally encoded OFDM system, the proposed system controls the transmit power for each subcarrier in order to keep the received power of each subcarrier constant using a measured delay Profile and noise level given by a delay Profile Information (DPI) channel in the return-link. To further reduce the transmit power needed to achieve high quality data transmission, a partial non-power allocation (PNPA) scheme combined with a punctured coding technique is further applied to the subcarrier power control. In this scheme, the deleted bits by the punctured coding are allocated to the nonreliable subcarriers and transmit power for these subcarriers are power-suppressed. Computer simulation confirms that the proposed system can achieve high quality data transmission and reduction of transmit power as compared with that of a conventional system in frequency selective fading environments.
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A delay Profile Information based subcarrier power control combined with a partial non-power allocation technique for OFDM/FDD systems
11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525), 2000Co-Authors: N. Maeda, S. Sampei, N. MorinagaAbstract:This paper proposes a delay Profile Information based subcarrier power control combined with a partial non-power allocation technique for OFDM/FDD systems to achieve high bit-rate and high quality non-voice data transmission for wireless communication systems. To improve the bit error rate (BER) performances for the convolutionally encoded OFDM system, the proposed system controls the transmit power for each subcarrier in order to keep the received power of each subcarrier constant using a measured delay Profile and noise level given by a delay Profile Information (DPI) channel in the return-link. To further reduce the transmit power needed to achieve high quality data transmission, a partial non-power allocation (PNPA) scheme combined with a punctured coding technique is further applied to the subcarrier power control. In this scheme, the deleted bits by the punctured coding are allocated to the nonreliable subcarriers and transmit power for these subcarriers are power-suppressed. Computer simulation confirms that the proposed system can achieve high quality data transmission and reduction of transmit power as compared with that of a conventional system in frequency selective fading environments.
