A Remote Power Management Strategy for the Solar Energy Powered Bicycle

In this paper, a solar energy powered bicycle by a wireless sensor network (WSN) far-end network monitoring solar energy to transfer the electrical energy storage and the effectiveness analysis is proposed. In order to achieve this goal, an embarked ZigBee by a solar-powered bicycle the far-end wireless network supervisory system is setup. Experimental results prove that our prototype, the solar energy powered bicycle, can manage the solar energy for charging two Lead-Acid batteries pack. As a result, the user by the wireless network in parking period knows the data on the amount of immediate solar radiation, the degree of illumination, the ambient temperature, and electrical energy storage capacity information by the internet interface

Clinical Applications of Magnesium Hydride

Oxygen sustains the lives of human a unique element. However, oxygen is unwanted and harmful when it is over tension to introduce oxygen-derived free radicals in the cells. Hydrogen and oxygen are both involved in the genesis of life that exists on Earth and metabolism in vivo, so it is not strange to exert a biological effect. Recently, scientists have found that hydrogen is an essential physiological regulatory function with antioxidant, anti-inflammatory, and antiapoptotic protective effects on cells. Using therapeutic hydrogen includes different delivery methods, such as inhalation of hydrogen gas, oral hydrogen water, and injection of hydrogen-saturated saline. In clinical applications, magnesium hydride hydrolysis instead of traditional metallic magnesium is effective in increasing the theoretical hydrogen storage capacity by two times. The hydrogen-water comes across as being an excellent choice to produce from magnesium hydride hydrolysis on-demand because its antioxidant activity cannot store

Hydrogen Water on Survival Rate after Fasting in Drosophila Model

In this study, we use a Drosophila model to examine the effect of drinking hydrogen water on survival rate after fasting. The cells produce free radicals to help to absorb nutritious substances due to metabolism, which is a unique phenomenon for biological organisms. But if over the tension of free radicals can seriously affect the physiological functions, and even lead to death. Recently, scientists found that molecular hydrogen is a free radicals scavenger. However, no bio physiological mechanism and experiment have shown that by drinking hydrogen water, can eliminate the free radicals in animals and the evidence sufficient to influence the survival rate after fasting. Surprisingly, the results of the study support that hydrogen water may be helpful for the survival rate of the fasted fly. When the body loses oxygen free radicals due to food breakoff, hydrogen water may neutralize free radicals and reduce damage to cells. However, we also found that hydrogen water seems to be much help for relatively weak individuals, such as the mutant flies, and it is also favorable for individuals with stronger physique in wild Drosophila melanogaster females. In conclusion, the results show that flies can increase their survival rate by feeding hydrogen water under extreme oxidation stress

BETA: Behavioral testability analyzer and its application to high-level test generation and synthesis for testability

In this thesis, a behavioral-level testability analysis approach is presented. This approach is based on analyzing the circuit behavioral description (similar to a C program) to estimate its testability by identifying controllable and observable circuit nodes. This information can be used by a test generator to gain better access to internal circuit nodes and to reduce its search space. The results of the testability analyzer can also be used to select test points or partial scan flip-flops in the early design phase. Based on selection criteria, a novel Synthesis for Testability approach call Test Statement Insertion (TSI) is proposed, which modifies the circuit behavioral description directly. Test Statement Insertion can also be used to modify circuit structural description to improve its testability. As a result, Synthesis for Testability methodology can be combined with an existing behavioral synthesis tool to produce more testable circuits

Digit Recognition Using Composite Features With Decision Tree Strategy

At present, check transactions are one of the most common forms of money transfer in the market. The information for check exchange is printed using magnetic ink character recognition (MICR), widely used in the banking industry, primarily for processing check transactions. However, the magnetic ink card reader is specialized and expensive, resulting in general accounting departments or bookkeepers using manual data registration instead. An organization that deals with parts or corporate services might have to process 300 to 400 checks each day, which would require a considerable amount of labor to perform the registration process. The cost of a single-sided scanner is only 1/10 of the MICR; hence, using image recognition technology is an economical solution. In this study, we aim to use multiple features for character recognition of E13B, comprising ten numbers and four symbols. For the numeric part, we used statistical features such as image density features, geometric features, and simple decision trees for classification. The symbols of E13B are composed of three distinct rectangles, classified according to their size and relative position. Using the same sample set, MLP, LetNet-5, Alexnet, and hybrid CNN-SVM were used to train the numerical part of the artificial intelligence network as the experimental control group to verify the accuracy and speed of the proposed method. The results of this study were used to verify the performance and usability of the proposed method. Our proposed method obtained all test samples correctly, with a recognition rate close to 100%. A prediction time of less than one millisecond per character, with an average value of 0.03 ms, was achieved, over 50 times faster than state-of-the-art methods. The accuracy rate is also better than all comparative state-of-the-art methods. The proposed method was also applied to an embedded device to ensure the CPU would be used for verification instead of a high-end GPU

Strategic Framework for Achieving Readiness in Organizations to Implement an ERP System

Several taxonomies have been developed about ERP Critical Success Factors (CSFs) but there are few studies about readiness of organisations to accept an ERP system. This paper presents a strategic framework for companies to gain a proper level of readiness for implementing ERP systems. SMEs can make rational decisions about the best time for buying and implementing an ERP system if they understand their current readiness situation. For developing the framework, more than 100 key papers discussing ERP implementation in organisations have been collected and analysed. In this paper just some key papers are represented. Based on the results of analysing different viewpoints, 3 strategic issues and 10 strategies are proposed for gaining readiness for implementing ERP system, using the concept of strategic planning. Research findings of this study help decision makers of SMEs to attain a comprehensive picture about required actions to be accomplished for achieving readiness for implementing an ERP system

Dynamic Model to Assess Organisational Readiness during Information System Implementation

This paper presents a methodology for assessing an organisation’s readiness to implement an information system (IS). We use the technique of fuzzy cognitive maps which draws on the theory of Neural Networks. The techniques comprising the model have been used in many applications, but their use in the planning of change management projects is relatively new. The paper explains the theory, presents a numerical example, and suggests practical uses of the model

Hypersign: an interactive sign language dictionary

Call number: LD2668 .R4 CMSC 1989 L44Master of ScienceComputing and Information Science

Temporal and Spatial Properties of Arterial Pulsation Measurement Using Pressure Sensor Array

Conventionally, a pulse taking platform is based on a single sensor, which initiates a feasible method of quantitative pulse diagnosis. The aim of this paper is to implement a pulse taking platform with a tactile array sensor. Three-dimensional wrist pulse signals are constructed, and the length, width, ascending slope, and descending slope are defined following the surface of the wrist pulse. And the pressure waveform of the wrist pulse obtained through proposed pulse-taking platform has the same performance as the single sensor. Finally, the results of a paired samples t-test reveal that the repeatability of the proposal platform is consistent with clinical experience. On the other hand, the results of ANOVA indicate that differences exist among different pulse taking depths, and this result is consistent with clinical experience in traditional Chinese medicine pulse diagnosis (TCMPD). Hence, the proposed pulse taking platform with an array sensor is feasible for quantification in TCMPD