There are settings where encryption must be performed by a sender under a time constraint. This paper de-scribes an encryption/decryption algorithm based on modular arithmetic of complex integers called Gaus-sians. It...There are settings where encryption must be performed by a sender under a time constraint. This paper de-scribes an encryption/decryption algorithm based on modular arithmetic of complex integers called Gaus-sians. It is shown how cubic extractors operate and how to find all cubic roots of the Gaussian. All validations (proofs) are provided in the Appendix. Detailed numeric illustrations explain how to use the method of digital isotopes to avoid ambiguity in recovery of the original plaintext by the receiver.展开更多
In order to transfer large les and provide high-quality services in the IoV(Internet of Vehicles),intelligent routing and scheduling are indispensable for fast transfers and effcient network utilization,particularly w...In order to transfer large les and provide high-quality services in the IoV(Internet of Vehicles),intelligent routing and scheduling are indispensable for fast transfers and effcient network utilization,particularly when multi-path routing is allowed in the wired-transfer.Thus,a network administrator must select a set of feasible paths over which the transfer can be conducted.We consider a TBTS(Time-constrained Big-le Transfer Scheduling)problem in this paper.We prove that TBTS problem is NP-hard and that the TBTS problem can be solved by addressing a corresponding maximum ow over time problem with multi-path routing technique.We then propose both a heuristic algorithm(TBTS-H)and an exact algorithm(TBTS-A)to solve the TBTS problem.Although both of the proposed approaches can solve the TBTS problem,the heuristic runs more effciently by trading accuracy for delay,while the exact algorithm can achieve high accuracy for delay,at the cost of increased running-time.The corresponding simulation results illustrate this trade-o.Additionally,we conduct some comparisons between our proposed approaches and a traditional single-path routing scheme.展开更多
A brief overview of the state-of-the-art in the field of earthquake study and forecasting is presented in this paper. We analyze the principles of the methods of determining the coordinates of earthquake focuses by me...A brief overview of the state-of-the-art in the field of earthquake study and forecasting is presented in this paper. We analyze the principles of the methods of determining the coordinates of earthquake focuses by means of ground seismic stations. We demonstrate that those methods cannot be used in the system for monitoring of the beginning of the earthquake preparation process (in the network of RNM ASP stations). As we know, the earthquake preparation process is accompanied by spreading noisy seismic-acoustic signals. Theoretically, the system for monitoring of the beginning of the earthquake preparation process is based on the technologies for seismic-acoustic signal processing-Robust Noise Monitoring (RNM). Noise characteristics determined by RNM technologies indicate the beginning of anomalous seismic processes (ASP) and, consequently, the possibility of ASP monitoring. Considering that the seismic-acoustic signal can be represented as the sum of the useful signal and noise, we present the technologies for determining noise characteristics. It is demonstrated in the paper that a change in the estimate of the cross-correlation function between the useful signal and the noise, noise variance and the value of noise correlation determine the beginning of ASP. One RNM ASP station determines the beginning of ASP within a radius of about 500 km. Determining the location of an expected earthquake requires a network of RNM ASP stations. We analyze the results of noise technology-based monitoring of anomalous seismic processes performed from July 2010 to June 2015 on nine seismic-acoustic stations built at the head of 10 m, 200 m, 300 m and 1400 - 5000 m deep wells. Based on the results of the experimental data obtained in the period covering over three years, an intelligent system has been built, which allows for identifying the location of the zone of an earthquake, using the combinations of time of change in the estimate of the correlation function between the useful signal and the noise of the seismic-acoustic information received from different stations 10 - 20 hours before the earthquake. In the long term, the system can be used by seismologists as a tool for determining the location of the zone of an expected earthquake.展开更多
文摘There are settings where encryption must be performed by a sender under a time constraint. This paper de-scribes an encryption/decryption algorithm based on modular arithmetic of complex integers called Gaus-sians. It is shown how cubic extractors operate and how to find all cubic roots of the Gaussian. All validations (proofs) are provided in the Appendix. Detailed numeric illustrations explain how to use the method of digital isotopes to avoid ambiguity in recovery of the original plaintext by the receiver.
基金the National Natural Science Foundation of China under Grant No.90412001 (国家自然科学基金)the National Basic Research Program of China under Grant No.2005CB321806 (国家重点基础研究发展计划(973))
基金This work is supported by the National Natural Science Foundation of China(Nos.61671142,61101121,61373159).
文摘In order to transfer large les and provide high-quality services in the IoV(Internet of Vehicles),intelligent routing and scheduling are indispensable for fast transfers and effcient network utilization,particularly when multi-path routing is allowed in the wired-transfer.Thus,a network administrator must select a set of feasible paths over which the transfer can be conducted.We consider a TBTS(Time-constrained Big-le Transfer Scheduling)problem in this paper.We prove that TBTS problem is NP-hard and that the TBTS problem can be solved by addressing a corresponding maximum ow over time problem with multi-path routing technique.We then propose both a heuristic algorithm(TBTS-H)and an exact algorithm(TBTS-A)to solve the TBTS problem.Although both of the proposed approaches can solve the TBTS problem,the heuristic runs more effciently by trading accuracy for delay,while the exact algorithm can achieve high accuracy for delay,at the cost of increased running-time.The corresponding simulation results illustrate this trade-o.Additionally,we conduct some comparisons between our proposed approaches and a traditional single-path routing scheme.
文摘A brief overview of the state-of-the-art in the field of earthquake study and forecasting is presented in this paper. We analyze the principles of the methods of determining the coordinates of earthquake focuses by means of ground seismic stations. We demonstrate that those methods cannot be used in the system for monitoring of the beginning of the earthquake preparation process (in the network of RNM ASP stations). As we know, the earthquake preparation process is accompanied by spreading noisy seismic-acoustic signals. Theoretically, the system for monitoring of the beginning of the earthquake preparation process is based on the technologies for seismic-acoustic signal processing-Robust Noise Monitoring (RNM). Noise characteristics determined by RNM technologies indicate the beginning of anomalous seismic processes (ASP) and, consequently, the possibility of ASP monitoring. Considering that the seismic-acoustic signal can be represented as the sum of the useful signal and noise, we present the technologies for determining noise characteristics. It is demonstrated in the paper that a change in the estimate of the cross-correlation function between the useful signal and the noise, noise variance and the value of noise correlation determine the beginning of ASP. One RNM ASP station determines the beginning of ASP within a radius of about 500 km. Determining the location of an expected earthquake requires a network of RNM ASP stations. We analyze the results of noise technology-based monitoring of anomalous seismic processes performed from July 2010 to June 2015 on nine seismic-acoustic stations built at the head of 10 m, 200 m, 300 m and 1400 - 5000 m deep wells. Based on the results of the experimental data obtained in the period covering over three years, an intelligent system has been built, which allows for identifying the location of the zone of an earthquake, using the combinations of time of change in the estimate of the correlation function between the useful signal and the noise of the seismic-acoustic information received from different stations 10 - 20 hours before the earthquake. In the long term, the system can be used by seismologists as a tool for determining the location of the zone of an expected earthquake.
