American Journal of Applied Sciences
[SJR: 0.254] [H-I: 28] [28 followers] Follow
Open Access journal
ISSN (Print) 1546-9239 - ISSN (Online) 1554-3641
Published by Science Publications [28 journals]
- The Generation of Malay Lexicon
Abstract: The most important element in analyzing sentiment in text is to assign polarity to the opinion words. Polarity means the positive, negative or neutral state of the opinion words. They are many methods or ways in determining the polarity of an opinion words. One of the methods is using lexicon-based method. Lexicons are digital library of opinion words together with the polarity of the words. Basically, there are 3 methods in developing lexicon-based approach which is manual, dictionary-based and corpus-based. For Malay language there is no available sentiment lexicon and also very limited sources. Thus, in this study we present the automation lexicon generation for Malay language using the dictionary approach. The detail description of the automation lexicon generation for Malay language is discussed in this study.
- Advanced Automatic Lexicon with Sentiment Analysis Algorithms for Arabic
Abstract: Sentiment analysis is a statistical analysis of people’s attitudes, directions and emotions about a specific domain. The advance of telecommunication networks makes it very important to develop different sentiment analysis algorithms for gathering information of user preferences from multiple specialized sources. The next step is to analyze the polarity of information and finally gain and predict knowledge to anticipate future results. Arabic language has gained much interest in the past few years because of its wide morphological and linguistic terms. In this study, automatic lexicons for both modern standard Arabic and colloquial vocabularies are developed for multi-domain classical and vernacular terms. In addition, new novel sentiment analysis algorithms are presented, developed and implemented for analyzing the polarity of multi-domain datasets and increasing efficiency and flexibility of sentiment lexicons. The sentiment analysis algorithms are used for analyzing datasets based on their intensification weights to increase the performance of lexicon analyzer. The experimental results show high accuracy, precision, recall and F-measure compared with other recent research experiments.
- The Level of Service Quality and Customer Satisfaction of the Insurance
Industries in Indonesia
Abstract: This survey aims to investigate the level of service quality, client satisfaction and the image of Indonesia in particular insurance companies to PT (Limited Liability Company) Insurance Bumiputera Bumida Palembang. Indirectly influence the quality of services to the corporate image through satisfaction. The method used was descriptive. Data obtained through the distribution of questionnaires to 285 unemployment insurance claims losses Bumida Palembang PT Asuransi Bumiputera study. Descriptive analysis that involves frequencies, means and percentages used in this study. The results showed that the effect of simultaneous five dimensions of service quality are tangible, reliability, responsiveness, assurance and empathy are positive and significant on unemployment claims satisfaction of 49.7%. In partial, reliability dimension has an important influence positively the most dominant to the satisfaction of jobless claims, which accounted for 27%, the next dimension significantly, dimensions responsiveness, assurance dimensions and dimensions of empathy has had a major influence positively to the satisfaction of unemployment claims that each by 21.5, 20.6, 18.1 and 19.6% of each other. Five dimensions of service quality has an indirect effect a positive image of the company PT Asuransi Palembang Bumida Bumiputera through satisfaction jobless claims, which are tangibles is 2.3%, dimensional reliability is 2.9%, dimensions responsiveness is 2.2%, dimensions guarantee is 1.9% and empathy dimension it amounted to 2.1%. Although unemployment claims satisfaction in handling insurance claims loss solutions have a positive effect and significant to the company's image is equal to 10.7%.
- Evaluation of Keratinolytic Activity Succeeds by Keratinophilic Fungi in
Abstract: Earth has innate background for fungi that cover individual kingdom since evolution. The keratinophilic fungi are allied moulds that produce the keratinase enzyme to degrade the keratinous materials in or on the soil. Keratinous materials are insoluble and resistant to degradation by common proteinase enzymes. It is important to study the microorganism producers of such enzymes for use in the biotechnology industry. In order to present study, two isolates of fungi were evaluated to determine if they had the ability to degrade keratin as nutrient substrate. They were grown in an inundated culture medium containing poultry feathers. Among species, best keratin substrate degradation activity as well as keratinase enzyme activity was recorded in Arthoderma multifidium (KU578107) followed by Chrysosporium tropicum (KU578108) gradually leading manner day by days.
- A Proposed Assessment Method for Image of Regional Educational
Abstract: Market of educational services in the current Russian economic conditions is a complex of a huge variety of educational institutions. Market of educational services is already experiencing a significant influence of the demographic situation in Russia. This means that higher education institutions are forced to fight in a tough competition for high school students. Increased competition in the educational market forces universities to find new methods of non-price competition in attraction of potential students and throughout own educational and economic activities. Commercialization of education places universities in a single plane with commercial companies who study a positive perception of the image and reputation as a competitive advantage, which is quite acceptable for use in strategic and current activities of higher education institutions to ensure the competitiveness of educational services and educational institution in whole. Nevertheless, due to lack of evidence-based proposals in this area there is a need for scientific research in terms of justification of organizational and methodological aspects of image use as a factor in the competitiveness of the higher education institution. Theoretically and practically there are different methods and ways of evaluating the company's image. The article provides a comparative assessment of the existing valuation methods of corporate image and the author’s method of estimating the image of higher education institutions based on the key influencing factors. The method has been tested on the Vyatka State Agricultural Academy (Russia). The results also indicate the strengths and weaknesses of the institution, highlights ways of improving and adjusts the efforts for image improvement.
- Statistical Measurement of Nurses’ Level of Awareness of Value of
Occupational Therapy Services in a Paediatric Ward
Abstract: The study investigated the extent of information the nurses have about Occupational Therapy (OT) and its place within a health Multidisciplinary Team (MDT). It took place in the paediatric ward of the Dr George Mukhari Academic Hospital in Gauteng Department of Health. It was stimulated by the adverse attitude of the nurses to the OT staff and/or students from Sefako Makgatho Health Sciences University (SMU) for prescribed OT activities in that ward. The purpose of the study was to demonstrate that if nurses in a MDT setting did not understand OT purpose, then this may cause lack of their appreciation of OT activities and of occupational therapists. Forty-three nurses participated in the study. Most of them did not know much about OT and seemed to have different impressions about the OT profession. The study recommended that the nurses should be informed about other practitioners in the MDT of their workplace, how each one works and the scope of the nurses’ work.
- Automatic Recognition System of Vehicle Plate for Recording Incoming
Vehicles to the University Campus and the Outgoing
Abstract: Automatic recognition of vehicle plate characters became a very important in our daily life because of the unlimited increase of vehicles that enter or leave a supervised area. This paper describes an automatic intelligent system that captures the images of vehicles and has the ability to recognize the plates of vehicles entering the university campus or leaving. A camera is built on the university gate for taking images of incoming or outgoing vehicles. A rear image of a vehicle is captured and processed. The system applies an intelligent filtering of the input image based on a set of filters removing unnecessary image elements preserving the position and shape of characters of the vehicle plate, histogram manipulation and edge detection techniques for plate localization and characters segmentation. Adaptive Neuro Fuzzy Inference System (ANFIS) is chosen as a classifier for recognizing the characters in the vehicle plates. This system can extracts the letters and numbers from vehicles plates. So, the extracted vehicle characters can be used to record the incoming vehicles to the university campus and the outgoing. The recognized vehicle characters are saved in the university database.
- Optimizing the Newspaper Distribution Scenarios using Genetic Algorithm: A
Case Study of India
Abstract: This paper attempts to optimize the various newspaper distribution scenario as observed in India. It found from the literature that earlier research work carried out in optimizing the vehicle routing networks problem using time window and scope was limited to distribution from newspaper printing location to the vendor point of distribution. This paper focuses on the distribution of newspaper from vendor to the newspaper reader/customer. In this study case study method is used and the circulation activity is modelled with different field scenarios with a aim of minimizing the overall (total) delivery time of the Newspaper. The major aim of this paper was to identify the issues, while distributing the newspaper by the vendor at the hub to the end reader. The company under consideration had an objective of finishing the last newspaper delivery by 6:30 am. To optimize the same the paper identified the following scenario:
Case 1. Delivery to Independent Houses Located in a Community
Case 2. Delivery to an Apartment Cluster
Case 3. Delivery considering the various modes of transportation
The present paper optimized the same using genetic algorithm as the optimizing tool. The model with different scenarios presented in the paper will help the newspaper distribution planners to understand the various issues on the field and achieve to have a successful distribution strategy within the set objective of reaching the last copy of newspaper by 6:30 am to the reader. This will help not only the newspaper company under consideration but the entire newspaper industry. This paper contributes to body of knowledge of newspaper industry its major research implications are 1. It provide insights for a particular type of functioning environment, where speed and time play an critical role. 2. In certain type the time delays in the distribution network will impact the consumer’s preference which will lead to improved market share and more satisfied customers.
- Harvesting Chaetoceros Calcitrans and Nannochloropsis sp. Via
Abstract: The efficiency of harvesting the algal biomass plays a dominant role in the production of biodiesel from microalgae. On a commercial scale the choice and efficiency of the harvesting techniques may be a deciding factor for economic viability of this renewable energy source. The highly energy intensive centrifugation and filtration process are followed by flocculation for harvesting microalgae. Therefore the choice, cost and efficiency of the flocculating techniques can effectively lower the cost of harvesting and in turn minimize the cost of biodiesel production. This study aims to investigate the electroflocculation technique for harvesting microalgae under optimizing the operating parameters viz. voltage and current. Chaetoceros calcitrans and Nannochloropsis sp. were cultured and electrofloculated with a harvesting efficiency of 92 and 95% respectively at the optimum voltage and current.
- Assessment of Strength Development in Stabilized Soil with CBR Plus and
Abstract: This paper investigates the potential use of a nano polymer stabilizer, namely CBR PLUS for stabilization of soft clay and formulation of an optimal mix design of stabilized soil with CBR PLUS and silica sand. The highway settlements induced by the soft clay are problematic due to serious damages in the form of cracks and deformation. With respect to this, soil compaction and stabilization is regarded as a viable method to treat shallow soft clayey ground for supporting highway embankment. The suitability of stabilized soil was examined on the basis of standard Proctor compaction, California Bearing Ratio (CBR), unconfined compression, direct shear and permeability falling head tests. Furthermore, the chemical compositions of the materials were determined using X-Ray Fluorescence (XRF) test. The objectives of this paper are (i) to stabilize the compacted soil with CBR PLUS and silica sand in the laboratory; and (ii) to evaluate the strength and CBR of the untreated and stabilized soil specimens. It was found that the optimal mix design of the stabilized soil is 90% clay, 1% CBR PLUS, 9% silica sand. It is further revealed that, stabilization increases the CBR and unconfined compressive strength of the combinations by almost 6-fold and 1.8-fold respectively. In summary, a notable discovery is that the optimum mix design can be sustainably applied to stabilize the shallow clay without failure.
- Constrained Modified Genetic Algorithm for Optimizing RICE Climate Change
Abstract: The objective of this paper is to use evolutionary algorithm for policy making to help in decision support, the Regional Integrated Climate-Economy (RICE) model for the dynamic climate change is used to optimize the tradeoff policy between abating of carbon dioxide emissions to reduce global climate change and in the other hand the resulting in economic damages. A Constrained Genetic Algorithms (CGAs) is modified to search for near global optimal solutions the by searching climate optimum control parameters that resulted in optimal CO2 abatement and temperature reduction with less economic damages. A Comparison study between optimizing the output of GAs with the standard solution revealed that GAs successfully found a better solution, in term of finding optimum values for the carbon prices that lead to more reduction in carbon emission comparing to solutions given by the model developer.
- Eucalyptus Gomphocephala: Morphological Characterization and Seed
Germination under Influence of Contaminated Soil
Abstract: To study the impact of soil pollution on plant growth, our work focused on soil polluted by heavy metals. This soil was taken from the municipal landfill of Jendouba (North of Tunisia). We have undertaken to study the morphological behavior of a forest specie “Eucalyptus gomphocephala”. Two treatments are chosen (substrate containing 100% and 50% of soil taken from municipal solid waste of Jendouba) compared to a control (pilot soil). Morphological Parameters (stem height, root length, leaf area, the ratio of the stem/root and biomass) was measured. The plants grown on substrates based on an S1 (100% soil taken from municipal waste) and S2 (50%), exhibit morphological appreciable contribution to the control soil.
- On the Mean Estimation using Stratified Double Median Ranked Set Sampling
Abstract: Stratified Double Median Ranked Set Sampling (SDMRSS) method is suggested for estimating the population mean. The SDMRSS is compared with the Simple Random Sampling (SRS), Stratified Simple Random Sampling (SSRS) and Stratified Ranked Set Sampling (SRSS) methods. It is shown that SDMRSS estimator is an unbiased of the population mean and is more efficient than the SRS, SSRS and SRSS counterparts. Also, SDMRSS increase the efficiency of mean estimation for specific value of the sample size. The SDMRSS is applied on real data set.
- Modeling of Rainfall Characteristics for Monitoring of the Extreme
Rainfall Event in Makassar City
Abstract: Flooding is a common problem that occurs in some regions of Indonesia, including Makassar city. In the planning of flood control, rainfall variables are very necessary as the frequency, intensity and duration of rainfall. The relationship of these variables can be expressed in a curve Intensity-Duration-Frequency (IDF). The objectives of this study are to identify the best fitting distribution of rainfall data of Makassar city and also to model the relationship between rainfall intensity, rainfall duration and rainfall frequency that is described through IDF curves. The annual maximum daily rainfall data from Ujung Pandang rainfall station of Makassar is used in this study for the period 1986-2015. Data collection was performed at the Department of Water Resources Management in South Sulawesi province. Five distributions which are considered are Gumbel, Generalized Extreme Value (GEV), Generalized Pareto (GPA), Generalized Logistic (GLO) and Pearson type III (P3) distributions. The study result found that the probability distribution of rainfall data in Makassar city has a generalized extreme value distribution. Meantime, based on IDF curves shown that the longer the rainfall duration, the rainfall intensity decreases for various return periods. The results of this study are expected to be valuable information for designers of water management.
- Thermogravimetric Analysis (TGA) Profile at Different Calcination
Conditions for Synthesis of PTES-SBA-15
Abstract: The aim of this work is to study the effects of calcination condition on the properties of mesoporous silica, SBA-15 modified with phenyl group of organosilane. Functional group SBA-15 were synthesized and hydrothermally aged. The surfactant template was conventionally removed by calcination at varied temperature and duration. Thermogravimetric Analysis (TGA) was employed to characterize the pure and modified SBA-15. The TGA profile presented here would include modified SBA-15 functionalized using two different methods, direct-synthesis and post-grafting. The characterization profile from TGA showed that the temperature of calcination has large influence in determining the effectiveness of surfactant removal and incorporation of alkoxysilane into pure silica whether by post-grafting or direct synthesis method. However, the duration of calcination does not significantly affect these characteristics. Besides, mesoporous structure of SBA-15 by post-grafting method shows higher degree of functionalization than that of direct-synthesis.
- Impact of Micronutrient Soil Deficiency, Crop Residue Usage and Soil
Health Assessment on Wheat Crop Productivity: A Study of Indian Punjab
Abstract: Micronutrient soil deficiency, usage of crop residue and assessment of soil health are the critical factors that have strong bearing on crop productivity. Therefore, in this backdrop, the present study has utilized the econometric tools of ANOVA regression and ordinal logistic regression approach to capture the impact of micronutrient soil deficiency, crop residue usage and soil health assessment on wheat crop productivity across selected wheat growing areas (districts) of Indian Punjab. The empirical analyses pointed out that the farmlands suffering from micronutrient soil deficiency witnessed decreased levels of wheat crop productivity. The results further indicated that farmers are more likely to suffer from low wheat crop productivity and the probability of high wheat yield status of their farmlands is significantly lowered in the absence of crop residue usage and soil health assessment. Thus, from the perspectives of wheat productivity augmentation and provision of higher economic returns, there is a strong need for motivating the farmers to (a) adopt effective soil fertility management practices, (b) utilize crop leftovers to restore the nutrient content of the farming fields and (c) avail soil health assessment facilities and apply fertilizers in amounts recommended by the soil test results.
- A Model of Policy Formulation for Village Development Programs in East
Abstract: The objectives of this study were to describe and analyze the process of policy formulation for village development programs in East Kalimantan and to propose a model for the policy formulation process. The study was carried out using a qualitative method. The data were collected through deep interviews, documentation and field observations using interactive analysis model of Miles and Huberman. The study findings show that the policy formulation process for village development programs does not include an analysis on selecting priority problems and programs based on the criteria as stated in the Regulation of Minister of Home Affairs Number 66 Year 2007. Therefore, the proposed programs are greatly influenced by the motives, interests and powers of the existing actors/stakeholders. Consequently, the proposed village development programs do not meet the needs of the community members.
- Inventory Models with Power Demand and Inventory-Induced Demand with
Holding Cost Functions
Abstract: In real life customers are motivated to buy more if there is more availability of product. In this study, we develop inventory model for inventory dependent demand with different holding cost function. Mathematical formulations are discussed for two situations i.e., power demand rate with inventory dependent holding cost functions and inventory-induced demand rate with time and inventory dependent holding cost functions. The second order approximation is applied for exponential terms to find numerical values. Numerical examples are discussed to illustrate the models proposed in this study. The sensitivity analysis is given for optimal (minimum) solution with respect to key parameters is also discussed.
- Comparison of Stochastic and Rule-Based POS Tagging on Malay Online Text
Abstract: Extensive development of web 2.0 has led to production of gigantic amount of user generated data. These data consist of many useful information. Manual analyzing these data and classifying sentiment in them, is an exhausting task, thus opinion mining method is needed. Opinion mining approach uses natural language processing where Part-of-Speech (POS) Tagging is a crucial part. The performance of any NLP system depends on the accuracy of a POS tagger. Two main issues that affect the accuracy of POS tagger are unknown words and ambiguity. Although research on POS tagging has been back dated few decades ago, yet they have been mostly focused on English. Research on Malay language is still in the early stage. Also, online Malay Text differs from proper Malay text, in the sense of structure and also grammar. Online users tend use a lot of abbreviations and short forms in their text. Besides this, the “BahasaRojak” phenomena complicate tagging process even further. Thus taking all these into consideration, in this study, we will review stochastic and rule-based POS tagging methodologies to deal with ambiguous and unknown words on online Malay text.
- Behavior of Lightweight Coarse Aggregate RC Beams with Circular Opening
Abstract: This pressent research investigates the mechanical properties of Waste Rubber Fibers Lightweight Coarse Aggregate Concrete (WRFLWAC) mixture. Also, the shear behaviors of 12 RC beams contain opening are investigated. The main study parameters are: The opening location, the waste rubber fiber ratio and the shear reinforcement. Deflection values and cracks are registered at each load step; also the cracking or service and failure loads are recorded. The existing of an opening in beams lessens the strength and shear and flexural rigidity of beams with a percentage depending on the position of opening, shear reinforcement and waste rubber fiber ratio. The position of opening influence the strength of tested beams and the most critical case noticed when the opening made near the support. The increase in waste rubber ratio is found to be significant on service (cracking) and ultimate loads of tested concrete beams. The numerical (finite element) technique is used trace the behavior with increasing opening size. It is find that the service (cracking) and ultimate loads decreased with increasing opening size. The laboratory and analytical results are obtained to be in good agreements.
- Direct Analysis of Six Pharmaceuticals using Online Solid Phase Extraction
Abstract: In this study, three parameters (sample volume, cleanup and elution step) in large volume injection online Solid Phase Extraction Liquid Chromatography with diode array detection (SPE-LC) were optimized for the determination of six pharmaceuticals in wastewater samples. Preconcentration and separation were carried out using 2 columns, Dionex Ion Pac AG14A and Acclaim Polar Advantage II. Response Surface Methodology (RSM) was employed for the optimization of cleanup step (mobile phase composition and valve switching time). The optimum conditions obtained were as follows: Sample volume of 10.0 mL and cleanup with acetonitrile and ultrapure water (5:95) for 1.0 min. The method showed good recovery (82.91-107.7%), precision (0.35-8.26%) and linearity (R2 >0.99). The limit of detection was between 3.5 and 11.7 μg L-1. The proposed method is rapid, simple and sensitive for trace analysis of pharmaceuticals in water samples.
- On Fuzzy Primary Γ-Ideals in Γ-Left Almost Semigroups
Abstract: The purpose of this paper is to introduce the notion of a weakly fuzzy quasi-primary Γ-ideals in Γ-left almost semigroups, we study product of fuzzy primary, fuzzy quasi-primary, fuzzy weakly completely primary, weakly fuzzy primary and weakly fuzzy quasi-primary Γ-ideals in Γ-left almost semigroups. Moreover, we investigate relationships between fuzzy weakly completely primary and weakly fuzzy quasi-primary Γ-ideals in Γ-left almost semigroups.
- Climate Projections of Future Extreme Events in Malaysia
Abstract: In Malaysia, extreme rainfall events are often linked to a number of environmental disasters such as landslides, monsoonal and flash floods. In response to the negative impacts of such disaster, studies assessing the changes and projections of extreme rainfall are vital in order to gather climate change information for better management of hydrological processes. This study investigates the changes and projections of extreme rainfall over Peninsular Malaysia for the period 2081-2100 based on the RCP 6.0 scenario. In particular, this study adopted the statistical downscaling method which enables high resolution, such as hourly data, to be used for the input. Short duration and high intensity convective rainfall is a normal feature of tropical rainfall especially in the western part of the peninsular. The proposed method, the Advanced Weather Generator model is constructed based on thirty years of hourly rainfall data from forty stations. To account for uncertainties, an ensemble multi-model of five General Circulation Model realizations is chosen to generate projections of extreme rainfall for the period 2081-2100. Results of the study indicate a possible increase in future extreme events for both the hourly and 24 h extreme rainfall with the latter showing a wider spatial distribution of increase.
- Cavern Design Philosophy under High Stress Rock Condition a Case Study in
Abstract: For stabilizing of rock cavern stress condition and orientation, rock properties and cavern geometry have determinant effects. Numerical and analytical study and knowledge about self-support arching can assist to designer in appropriate understanding of cavern and ground interaction. The comparative studies by E. Hoek, showed that the mushroom shaped cavern was not an acceptable design because of high value stress concentration. The elliptical cavern provide best stress distribution. In this research 5 basic concept in a case study cavern design under high stress condition has been studied. Orientation of cavern and cross section shape have a dominant influence in stress redistribution and forming self-support arch, respectively. Very small tangential stress may create radial crack in periphery of the opening. If the rock mass is hard and brittle, rock burst problem may arises in the area of high compressive stress when the rock mass strength is lesser than the imposed compressive stress. If the strength of rock is low compare to the stresses on it. Instability problems may arise after few years of excavation. Uma Oya underground hydro power project has chosen as a case study. High value of horizontal stress (k>1) might cause buckling effect in walls. Result indicates that high value of horizontal stress might cause local tensile spalling. Plastic zones extend to the pillar between to caverns more than 30 to 1.5 m in the roof. Even after rock bolting, there is considerable tensile zone. About 5 m deep tensile zones are calculated in the walls and a tensile zone of 2 m deep in the roof. The thickness of arching are calculated 4.8 to 5.5 for power house and 1.6 to 1.7 m for transformer cavern, via FEM analysis.
- Taxation of End Consumption: Effect on Country Economies and its
Abstract: International experience of the largest countries' economies of the last decade demonstrates that the use of Value Added Tax (VAT) in taxation of consumption is used more actively and is gradually squeezing out the sales tax. In most countries of the world VAT ensures between 12 and 30% of stable budget revenues. Taking statistical data selected with the help of the Ordinary Least Squares method as a basis, changes in the ratio of VAT received by the budget to GDP in the economies of different states for the 1995 – 2015 period were studied. The best ratio of the economic data was revealed in the Czech Republic and Mexico, where sustainable growth of the ratio amounted to 0.0008 – 0.0009 respectively. A significantly lower correlation of the data was noticed in Austria and France, the correlation is conspicuous for its negative value of the regression coefficient. The research we have undertaken in relation with several states has shown the following consistent pattern: an average value of the share of VAT is less (by 10%) dependent on the development and state of the economy of the countries we have compared than (over 60%) on the taxation rules established by laws on each state (the use of tax incentives, lower tax rates, etc.). Our research of VAT effect on the economies of countries has revealed a number of specific problems, which weaken the mechanism of collection and payment of the tax. Consequently, to solve the macroeconomic problems of VAT, additional measures aimed at organizations' revenue growth should be undertaken. Another area should be the improvement of the tax incentive and exemption system as well as the removal of existing possibilities of tax evasion. These measures will allow the government to adjust the basic rate downwards in the middle term.