Quantum computing formulation of some classical Hadamard matrix searching methods and its implementation on a quantum computer

Finding a Hadamard matrix (H-matrix) among all possible binary matrices of corresponding order is a hard problem that can be solved by a quantum computer. Due to the limitation on the number of qubits and connections in current quantum processors, only low order H-matrix search of orders 2 and 4 were implementable by previous method. In this paper, we show that by adopting classical searching techniques of the H-matrices, we can formulate new quantum computing methods for finding higher order ones. We present some results of finding H-matrices of order up to more than one hundred and a prototypical experiment of the classical-quantum resource balancing method that yields a 92-order H-matrix previously found by Jet Propulsion Laboratory researchers in 1961 using a mainframe computer. Since the exactness of the solutions can be verified by an orthogonality test performed in polynomial time; which is untypical for optimization of hard problems, the proposed method can potentially be used for demonstrating practical quantum supremacy in the near future.

Dynamics Modeling and Analysis of Riveted Mainframe Computer Structure

A typical mainframe computer rack is narrow, tall and long. In certain installations, during its functional operation, the server can be subjected to earthquake events. The rack is a steel structure joined together with steel rivets. One of the rack’s functions is to protect the critical components such as the processor, input-output and storage drawers from excessive motion by minimizing the amount of deflection. The riveted joints pose a challenge in accurately representing more than three thousand joints in a finite element (FE) model. In the FE model, bonding together sheet metal regions around the rivet joints will lead to a significantly stiffer model than the actual structure. On the other hand, an accurate representation of the riveted joints will lead to a better representation of the dynamic response of the server rack under vertical and horizontal loadings. This paper presents a method of analyzing rivet joints. The rivet joints are represented by beam elements with cylindrical cross-sections in the FE model. This is accomplished by identifying two parallel or overlapping plates and inserting discrete beam elements at the riveted joint. This method will be used to predict the dynamics modes of the structure. To validate the FE model, a prototype server rack was subjected to side to side vibration tests. A sine sweep vibration test identifies dominant mode shapes and the transmissibility of the input vibration. The results of the tests on the prototype rack serve as input for FE model refinement. The test data show that representing the riveted joints with beams does provide results that closely match the actual test data. A validated FE model will be used to evaluate dominant vibration modes for several configurations of rack weight as well as configurations to stiffen the structure in the side to side direction. The dynamic mode shapes visualize the effect of stiffening brackets on dominant frequencies of the rack. The optimal stiffening design will be the one that results in the minimum deflection under the standard testing profile.

Testing and Analysis Process of Earthquake Resistance Mainframe Computer Structure

A mainframe computer’s structure consists of a frame or rack, drawers with central processor units, IO equipment, memory and other electronic equipment. The focus of this structural mechanical analysis and design is on the frame, earthquake stiffening brackets and tie-down methods. The primary function of the frame is to protect critical electronic equipment in two modes. The first mode is during shipping shock and vibration, which provides excitation primarily in the vertical direction. The second mode of protection is protecting the equipment during seismic events where horizontal vibration can be significant. Frame stiffening brackets and tie-downs are features added to mainframe systems that must meet earthquake resistance requirements. Designing to withstand seismic events requires significant analysis and test efforts since the functional performance of the system must be maintained during and after seismic events. The frame stiffening brackets and anchorage system must have adequate strength and stiffness to counteract earthquake-induced forces, thereby preventing human injury and potential system damage. The frame’s stiffening bracket and tie-down combination must ensure continued system operation by limiting overall displacement of the structure to acceptable levels, while not inducing undue stress to the critical electronic components. This paper discusses the process of finite element analysis and testing of a mainframe computer structure to develop a design that can withstand a severe earthquake test profile. Finite element analysis modeling tools such as ANSYS, a general-purpose finite element solver, was used to analyze the initial frame design CAD model. Both implicit and explicit finite element methods were used to analyze the mainframe subjected to uniaxial and triaxial earthquake test profiles. The seismic simulation tests involve extensive uniaxial and triaxial earthquake testing in both raised floor and non-raised floor environments at a test facility. Prior to this extensive final test, in-house tests were conducted along with modal analysis of the prototype frame hardware. These tests are used to refine the dynamic characteristics of the finite element model and to design the frame stiffening bracket and tie-down system. The purpose of the modeling and in-house testing is to have a verified finite element model of the server frame and components, which will then lead to successful, seismic system tests. During experimental verification, the dynamic responses were recorded and analyzed in both the time and frequency domains. The use of explicit finite element modeling, specifically LS-DYNA, extends the capability of implicit, linear modeling by allowing the incorporation of test data time history input and the experimentally derived damping ratio. When combined with the ability to model non-linear connections and material properties, this method provides better correlation to measured test results. In practice, the triaxial seismic time history was applied as input to the finite element model, which predicted regions of plastic strain and deformation. These results were used to iteratively simulate enhancements and successfully reduce structural failure in subsequent testing.

Piezoelectric energy harvesting: application to data center monitoring

Purpose – The purpose of this paper is to report the study of vibration energy harvesting from a data center (DC) mainframe computer to power nodes of a wireless sensors network (WSN are used to improve the energy efficiency of a DC). Design/methodology/approach – The piezoelectric vibration energy harvester (VEH) has been designed using an electromechanical analytical model. The VEH is composed of a three-layer cantilever beam with a tip mass. A vibration map (amplitude and acceleration) is presented and the authors show that the optimum frequency is around 90 Hz with maximum amplitude of 1 μm and maximum acceleration of 0.6 m/s2. Modeling results and experimental measurements using an electromagnetic shaker to apply vibrations concord. Findings – The VEH delivers a maximum power of 31 μW on a DC mainframe computer and 2.3 mW at 1g on a test rack. It allows us to use a storage capacitance to successfully power a wireless sensor node for measuring temperature. This paper has been carried out in cooperation with IBM Montpellier and within the framework of the RIDER project financed by the French government and the European Union. Originality/value – A vibration map (amplitude and acceleration) is presented and the authors show that the optimal frequency is around 90 Hz with maximum amplitude of 1 μm and maximum acceleration of 0.6 m/s2. The VEH delivers a maximum power of 31 μW on DC mainframe computer and 2.3 mW at 1 g on test mounted the shaker. It allows us with a storage capacitance to successfully power a wireless sensor node for measuring temperature.

Yturralde: Impossible Figure Generator

This research highlights José María Yturralde’s most significant involvement and contributions to early computer art from 1968 to 1973. Yturralde collaborated with artists and scientists to expand and redefine his understanding of shapes, and explored ways that the mainframe computer could be used as a tool for complementing his art practices. He is known for developing a mathematical model with which he was able to create a highly sophisticated program where Penrose geometries could be recombined algorithmically. However, there is limited evidence and access to the code of the actual software. The authors’ goal is to further understand Yturralde’s contribution by developing a re-significance of his model, which they have accomplished through a modern interpretation of manuscripts.

Fire Detecting System Design under the Mainframe Computer Vision

This paper focused on the fire detecting problem. Traditionally, fire was detected based on the frame difference by subtracting the image pixel. When there existed background similar to its flame color and shape in the environment where the fire happened,, the result of frame difference subtracting is not obvious and the algorithm cannot detect the fire problem according to the result. This paper put forward a fire detecting method based on support vector basis algorithm. The experiment indicated that this kind of neural network model achieved precise fire detecting under the background similar to itself, efficiently decreased the detecting error rate, and obtained satisfactory results.

Parameter Inversion of Tritium Migration Based on Parallel Genetic Algorithm

To calibrate model parameters of tritium migration in a test site of China, an intelligent parameter inversion model based on parallel genetic algorithm is built, a forward and inverse coupling program of radionuclide migration is designed, and the values of key parameters like hydraulic conductivity, dispersity and porosity are inverted automatically on a mainframe computer, by means of abundant observation data of tritium concentration. The inversion results accord with observation data well on the whole. Compared to manual adjustment method, this method has better overall convergence, higher calculated precision and efficiency, and less manpower cost. The results show that parallel genetic algorithm is feasible and valid in application to parameter inversion of tritium migration.

Behavioral Antecedents To Intrinsic Motivation In Capital Equipment Exchange Relationships

<span>This study utilizes cognitive evaluation theory to assess interorganizational relationships. Sales personnels influence strategies and opportunistic behaviors are cast as antecedent to purchasers intrinsic motivation for the exchange. Influence strategies are classified based upon whether sanctions (medicated influence) or information (non-mediated influence) are employed to gain compliance. Ninety-four mainframe computer users reported on their working relationships with multiple marketing personnel. The results suggest that non-mediated influence raises intrinsic motivation while mediated influence and opportunism have a negative impact upon motivation.</span>