In order to study the pre-peak damage process of polypropylene fiber reinforced concrete, typical acoustic emission (AE) characteristics in the damage processes of the polypropylene fiber reinforced concrete and plain concrete under splitting was described in this paper. Polypropylene fibers of varying contents were used as reinforcement in concrete specimens. And their influence on the damage process and the AE activity was investigated compared with the plain concrete specimens. Analysis revealed that particular AE parameters changed monotonically with the progress of damage, which can be applied for the failure process characterization. The results have shown that AE technique does have capability to detect the damage processes of PP fiber reinforced concrete.
A significant number of researches have conducted to develop several treatment methods to stabilize expansive soils and to reduce the damaging effects of expansive soils. In recent years, the most commonly used method is addition of stabilizing materials, such as lime, cement, sand or polypropylene fiber to the expansive soil. In this study, initially, lime, sand, multifilament fiber and fibrillated fiber were used for stabilization of bentonite. Lime, sand and fibers were added to the bentonite at 0–7%, 0–80%, 0–0.5%, respectively. On each mixture that was prepared by the proportions mentioned above, Atterberg limits, compaction, and swelling pressure tests were conducted. From the result of these experiments, the swelling pressure–time relation could be replaced by a rectangular hyperbola established facilitating the prediction of ultimate percent swell with a few initial data points. The best type of additive and its optimum ratio for engineering purposes could be estimated by this approach rapidly. Instead of long experimental studies, like highway studies in which many locations should be tested, it is possible to calculate swelling pressure of the soil in a short time by using this methodology.
Composer Imitator (CI) is a novel music generator which automatically creates pleasant music. With CI platform, it Enhanced Iterated Function System as applying the Genetic Crossover Method to create new music. The Parent Imitation Judgment (PIJ) is defined as evaluating the pleasure of the music. At first, CI randomly selects an initial musical note which will be the basis to obtain several new musical notes. Then, by applying the enhanced iterated function system, the Genetic Crossover Method finds the note length of these new notes. Rules is set in the PIJ function which examined the music similarity (as the relative pitch shows) of the created musical notes. Finally, it filters out the unpleasant musical notes. It performed the pleasant music ratio, namely the probability of the pleasant music scored by the listeners. The experiment shows the CI has higher pleasant music ratio performance.
There is a long history of using traditional Chinese medicine in the treatment of liver cancer and other malignancies. The classification of qi stagnation and blood stasis (QSBS) is the most common Zheng in liver cancer. This Zheng is frequently encountered in liver cancers falling into the pathological category of massive type. QSBS is the principal mechanism for a tumor to develop. Liver cancer with QSBS Zheng has characteristic clinical manifestations. Evidence from ex vivo, in vivo and clinical studies has been reported for the identification and management of liver cancer with QSBS Zheng. This article reviews evidence-based study advances of QSBS Zheng, the most common Zheng encountered in liver cancer.
Abstract\nThe\n study was conducted in order to assess and compare the differences of \nclinical manifestation of anxiety in two groups of patients, 34 \nsuffering from panic disorder and 37 with generalized anxiety disorder \nusing a Hamilton Anxiety Scale (HAS). \nThe generalized anxiety disorder group was characterized with more \nsevere anxious mood, tension, muscular problems, gastrointestinal, \ngenitourinary symptoms, and with more severe anxiety behavior during the\n examination on a significantly higher level than group with panic \ndisorder. Fears, sensory problems, cardiovascular and respiratory \nsymptoms are more dominant manifestations of anxiety in the group with \npanic disorder.\nKey words: anxiety, clinical manifestation of anxiety, panic disorder, \ngeneralized anxiety disorder.
Cloud computing enables the use of computing resources through web, which are delivered as software, platform and infrastructure services. With increasing demand and adoption of cloud services, cloud service user faces many issues on selecting a particular service. In this paper we provide a system, PaaSSER, which search and rank the platform as a service type services according to user requirements. PaaSSER system is based on PaaS service ontology which is developed and populated by parsing the service description document and WSDL document of PaaS services. The user requirements are parsed and generated as SPARQL queries which then retrieve the service list from the ontology repository. The retrieved services are ranked according to the requirements matching. The performance evaluation of PaaSSER shows that it provides and maintains consistent results irrespective of the number of requirements given by user.
This paper presents a control strategy developed to improve the transient state while regulating the voltage and the frequency of a self-excited induction generator without grid connection. Presented strategy uses a three-phase dimmer supplying a regulating load and previously defined law to modify the reactive power. The use of the specific law in correlation with the dimmer allows to keep the frequency at quasi-constant value and improve the transient state appeared during voltage control. The proposed strategy is tested using a numerical model developed to highlight the impact of the dimmer on the transient behavior and is experimentally validated using a specific test bench.
The product design in research and development (R&D) is the key successful factors for the electronic manufacturing industry. Additionally, the decreasing component involvement by increasing multi-function of product is the commodity trend in R&D goal of electronic product. For above reasons, it sometimes causes more capacity crowding, cost increasing, unsafe generating, or have to obey rules. Besides, keeping the fitness of capacity crowding and the product cost decreasing is therefore very important. However, increasing the performance of the structures has always been an important job in the process of a product design system. Previous studies focus on using new components for replacement and management the size of capacity, but they rarely focus on a structured approach with the purpose of increasing efficiency and effectiveness. The Theory of Inventive Problem Solving (TRIZ) and Reliability method are integrated as a methodology, which is called Reliability-based Theory of Inventive Problem Solving (R-TRIZ) and proposed in this paper. This method will be tested if it can help us to improve and solve the issues for crowding of capacity of product designs.\nFrom the results, the proposed method might possibly be useful for our problem by eliminating the size of capacity and increasing the function in a product design is observed in this study. At the same time, it also can lead to generate the solution to match customer\'s requirements.
The key successful factor of the new product design (NPD) of sensor product industry is the selections of the best parameter level. General speaking, decreasing the error rate of product parameter selection by increasing the number of experiments is the commodity trend in NPD goals. For above reasons. Previous studies focus on structured approach for the replacement and management of selection of the parameter level in product design with the purpose of increasing efficiency and effectiveness, but rarely on a dynamic environment.\nConsequently, this work presents a novel algorithm, the Taguchi System-two steps optimal algorithm, which combines the Taguchi System (TS) with two steps optimal (TSO) method, which is shown how product adjusted under a dynamic environment in product design. The utility of the parameter level are selected. The two step optimal (TSO) method links the decisions for selections of parameter level in two different times and can be used to focus on dynamic sensor product design system (DSPDS). \nFrom the results, the proposed method might possibly be useful for our problem by selecting of parameter level size and adjusting the parameters by TSO and neural network (NN) in the DSPDS is observed in this study.
Every individual and organization requires security in all aspects. The art and science of keeping messages secure is handled by Cryptography. It provides confidentiality and integrity for a message in electronic format. Cryptography algorithms are designed complex to support high privacy and numerous algorithms are developed day by day. CrypTool (CT) is an open source e-learning tool about cryptography and cryptanalysis which enables a user to apply and analyze cryptography mechanisms. It provides graphical interface to experiment cryptographic algorithms and protocols by augmenting almost all existing cryptographic algorithms with visualizations. It encourages the cryptographers to upload their own cryptographic techniques and it can be plug into it. This paper focuses on analysis on the strength of standard hash algorithms with the help of CrypTool version 1 based on its entropy value. Entropy denotes degree of randomness of a message. Higher value of entropy means, harder to break the cryptosystem. Based on this parameter, this paper presents comparisons among hash algorithms against attacks by intrusion.
The traveling salesman problem (TSP) is a classic combinatorial optimization problem. Various exact or approximation algorithms are devised for solving Euclidean TSP. This paper gives a mathematical model for solving a variant of the TSP in which all points (cities) and paths (solution) are on the surface of a sphere. An improved glowworm swarm optimization algorithm combined with C-2Opt operator is proposed to solve the TSP where all points are on the surface of a sphere. The numerical experiment results show that the proposed algorithm has good performance than that of the basic glowworm swarm optimization algorithm.
Heterogeneous multicore processor consists of large number of processors with different configuration packed together on a single chip. There is a tremendous computing power offered by this multicore processor. Even though enormous performance enhancement with this multicore platform, it brings lot of challenges to the efficient operating system scheduling. In this paper we propose a new agent based scheduling and thread assignment algorithm in such a way that none of the heterogeneous processor will be kept in the idle state and the cores are utilized efficiently. We actually classify processors as fast core, average core and slow core based on their computing power. Then based on the CPU and memory intensive instructions we assign the threads to the respective cores. The ultimate aim is the heterogeneous processors within the multicore are assigned with the appropriate threads. We actually modified and simulated the linux 2.6.21 kernel process scheduler to incorporate this scheduling concept. Our evaluation results show that this agent scheduling algorithm outperforms the existing scheduling algorithms for HMC (Heterogeneous MultiCore) processors in terms of CPU utilization.
This paper proposes an approach for the hybrid solar photovoltaic and wind power system in Battery management for stand-alone applications with Artificial Intelligence. In general, Solar and wind energy are utilized as leading sources of energy and battery unit is considered as storage element to meet out the load demand. Loads are considered based on the priority. Ratings of hybrid energy system components such as solar PV, wind generator, battery unit, power electronic converter, etc., are optimally selected based on the rating of load. Fuzzy logic and Neural network are the tools being used here to obtain the maximum utilization of battery. A simulation model with MATLAB/Simulink for the hybrid power system has been developed. Considering power supply variation in Solar and Wind Hybrid Power system (SWHP) caused due to disturbed power supply from wind turbine generator and solar cells, fuzzy-PID-NN control is brought into it. The main components model of SWHP is established and simulation of fuzzy-PID-NN control is being presented, analyzed and compared. The final result of simulation indicates an effective utilization of battery.
The objective of the paper to study strongly generalized continuous functions of khalimsky n-space to the khalimsky line and plane
To access the virtualized software applications on-demand is the new trendy usage mode of software. This paper presents such a solution based on light weight virtualization techniques with virtual machine and virtual application software’s, having portable or installed application instances providing the service on-demand across internet without any modification of the source code. First a construction runtime model of software is proposed. It holds the software as an entity containing three modules. Module1: It includes the presence of installed or portable application and its instances respectively in a physical server machine and all resources provided by the operating system, Module2: It includes the presence of guest machine, that access the virtual application across internet in which the service is provided by the server. The guest machine can either be virtual or physical. Module3: It includes running of lightweight virtual software in an incompatible physical or virtual machines thereby accessing virtual applications on-demand in remote by the client machines. With this access of virtual application on-demand by lightweight virtual software, the memory utilization in the application accessing environment is minimized.
Abstract Pesantren Darussalam has grown into a distinct pesantren compared to other pesantrens within Persatuan Islam. It has gained a symphaty and support among members of the society. The findings reveal that: (1) the pesantren follows the major steps of educational strategy development; (2) the pesantren follows any regulations and belief systems set up by Persatuan Islam, as its main organization, with a little criticism; (3) the leader of pesantren has a central role in decision making; (4) to great extent, the pesantren achieved the major programs developed previously; (5) the pesantren successfully eliminates a negative perception to the organization in general, and to other pesantrens within Persatuan Islam in specific, and; (6) the pesantren potentially develops into a modern Islamic boarding school in the country. From the findings above, the following recommendations are presented: (1) a pesantren should be inclusive; (2) a pesantren (or other Islamic educationa institutions) should adopt universal Islamic values rather than promoting organizational doctrines; (3) a pesantren (or other Islamic educational institutions) should develop a modern management while it keeps developing Islamic values and characters on the part of students
Echinochloa pyramidalis L. were collected at different growth stages in the constructed wetland plant treating faecal sludge and subjected to chemical analyses for its nutritional values as ruminant feed. The plant chemical components were assessed using appropriate growth-harvest management systems and were compared with their recommended nutritional standards. Consistent variations (P < 0.05) among the forage samples in terms of chemical compositions were found at different harvesting periods. In addition, the plant was found to have the organic matter (OM) which varied significantly (P < 0.015) from 92.5 to 94.5% DM and ash content which ranged between 9.3 to 11.8% DM significantly increased (P < 0.015) with increased maturity. Neutral detergent fibre (NDF) content ranged between 66.7 to 70.5% DM while Acid detergent fibre (ADF) content varied from 41 to 44% DM. A significantly increase in crude protein (CP) contents (P = 0.000) under faecal sludge (FS) treatment was observed with advancing age from 11.1 to 20.8% DM. E. pyramidalis may be considered to have a reuse potential for consumption as an alternative to conventional forage sources for animal nutrition after wetland treatment of FS. Based on these characteristics, such alternative may also be a good way for the productive sanitation approach promotion in Africa
We describe here a methodology to oxidize multi-wall carbon nanotubes (MWCNTs) and its application as a sorbent of solid phase extraction (SPE). The purified MWCNTs are prepared with oxidation of MWCNTs. The properties of raw and purified MWCNTs are characterized by FTIR, thermogravimetric analysis and Boehm titration. The purified MWCNTs are applied for the SPE of Fe3+ from canned tuna, vinegar and real water samples. The nature of MWCNTs surface are improved after oxidizing which made MWCNTs become more hydrophilic and suitable for adsorption of Fe3+. Effective parameters on SPE of Fe3+ such as pH, flow rate, nature of eluent and ionic strength are investigated. The maximum capacity of sorbent and limit of detection are10 mg g-1 and 1.25×10-3 mg L-1, respectively. The linear range and relative standard deviation of the proposed method are 0.02 to 20 mg L-1 and 1.25×10-3 mg L-1 and 2.23%, respectively.
