ANAS Volume 14, Number 3: September, 2020
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Studies on Physicochemical Properties of Krajub Starches as Phamaceutical Excipient and Cosmetic Ingredient
Suradwadee Thungmungmee, Warachate Khobjai, Khemjira Jamkom, Surachai Techaoei, Nakuntwalai Wisidsri
Abstract: Krajub (Trapa bispinosa Roxb.) is a aquatic floating plant found in Thailand. It is used for food which high starch content. This research aimed to study the physicochemical properties of Krajub starch between two different preparations so as to understand and be able to readily apply in phamaceutical and cosmetic products. The powder of Krajub starches were prepared by conventional drying (KJOG) and spray drying (KGSD) methods. The morphology, particle size and size distribution, whiteness, chemical analysis, viscosity and thermal properties of starches were analyzed. The results showed that KJOG had higher variation in shape and morphology than KJSD. The KJOG and KJSD had small size with a range of 1.13-1.28 m. However, the KJSD had narrow in size distriubution when compared with KJOG. The color of KJOG and KJSD were slightly brown and brown, respectively. KJOG showed 5.79% ash, 3.79% moisture, 2.20% fiber, 6.90% starch, 24.78% amylose and viscosity more than KJSD while lower than in fat and protein content. The solubility and swelling power of Krajub starches increased when temperature increased. Amylose in Krajub starches was positively correlated to viscosity. KJSD needed energy more than KJOG to initiate starch gelatinization. %Retrogradation KJOG and KJSD was not significantly diference. These results indicate that Krajub starches provides good physicochemical properties and could be applied in pharmaceutical excipient and cosmetic multi-functional additive ingredient.
[ FULL TEXT PDF 1-8 ] DOI: 10.22587/anas.2020.14.3.1
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Strategies for Hiring Human Resources for Foreign Laborers in SMEs
Hsiang-Tsai Chiang, Hung-Changchi
Abstract: This research examines traditional industries in small and medium-sized enterprises to determine human resource recruitment and selection activities used by foreign workers and to prevent business owners from making human resource management decisions based on insufficient information. Managers discuss topics such as errors in the selection process due to personal preferences. Therefore, the purpose of this study is to provide clear advice to small and medium-sized enterprises and multinational human rights intermediaries in traditional industries who are interested in hiring Vietnamese workers. By reviewing the literature review and analyzing questionnaire responses, the research variables are identified, and the research structure is established; and the relationship between related variables is also analyzed from the perspective of strategic human resource management in order to propose related issues. This study adopts a questionnaire survey method; it administers questionnaires to small and medium-sized enterprises that employ Vietnamese workers and explores measures related to the selection of foreign workers. Focusing on the manufacturing industry, 350 questionnaires were issued, and 300 questionnaires were returned for use as data in this research report.
[ FULL TEXT PDF 9-15 ] DOI: 10.22587/anas.2020.14.3.2
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Design of Indicators for Prediction of Success or Failure in the Entrance Examination According to Korean Education Based Accumulated Learning Outcome Data
Ji-hoon Seo, Kil-hong Joo
Abstract: The present study extracted meaningful data from domestic students’ accumulated past learning outcome data utilizing the Educational Data Mining (EDM) analysis technique and processed the data to design a university entrance probability prediction model and derive indicators that can be utilized by learners in the prediction of university entrance examination results. The existing EDM technique focused only on studies for the promotion of learners’ learning outcomes and the enhancement of education thereby becoming an element that hinders the diversity of fields. The design model presented in the present paper proposed analysis modeling to semantically classify individual learners’ training data tables based on the basic policy of Korean education for the entrance examination in order to create position models suitable for the attributes of prediction and predict university entrance examination routes.
[ FULL TEXT PDF 16-25 ] DOI: 10.22587/anas.2020.14.3.3
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Conceptual Structure of Urban Tourism in Twin City between Thailand and Lao PDR
Amarawadee Kumboon, Phitak Siriwong, Thirachaya Chaigasem, Grit Ngowtanasuwan
Abstract This paper postulates the conceptual structure of Urban Tourism in Twin City between Kingdom of Thailand and Lao People’s Democratic Republic. A Structural framework is conceptualized connecting Urban Tourism in Twin City between Kingdom of Thailand and Lao People’s Democratic Republic (Muang District, Nakhon Phanom Province, Thailand, and Thakhek District, Khammouan Province, Lao PDR). A series of hypotheses related to the model are hence developed. Although this article does not empirically test the predictive power of the models, it suggests that there is Structural Urban Tourism in Twin City between Kingdom of Thailand and Lao People’s Democratic Republic, which deserves further research. Some preliminary thoughts on the measurement and managerial implications of the conceptual structure are discussed.
[ FULL TEXT PDF 26-35 ] DOI: 10.22587/anas.2020.14.3.4
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Earthquake and Physical Vulnerability Assessment of Existing Buildngs in Urban Areas
Miskat Ara Akhter, Rustam Khairi Bin Zahari
Abstract Earthquakes is difficult to deal with because of it’s multiple impacts on human lives. It has a major ability to degrade an urban physical structure with geological components. The objective of this thesis is to assess the seismic vulnerability including building's physical conditions so that earthquake-prone buildings can be identified and plans to increase awareness among the users can be easily organized. In order to fulfil the objective, seismic vulnerability of Reinforced Cement Concrete (RCC) structures has been evaluated in the study area using the Turkish method as proposed by the Turkey government and the Japan International Cooperation Agency (JICA). 240 different reinforced concrete residential buildings were assessed using a checklist. The physical fragility was estimated by an on-site assessment to calculate the Earthquake Risk Score (E.R.S) value of each building. The survey findings were examined by SPSS software with factor analysis. The results revealed that only ten out of 240 structures were considered as high risk, whereas 84 structures were of moderate risk. It is proposed that more methodical evaluations were suggested for such structures before confirming the building as earthquake risk.
[ FULL TEXT PDF 36-45 ] DOI: 10.22587/anas.2020.14.3.5
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Relationship Analysis Between Key Performance Indicator with Core Competency for Baby Boomer, X and Y Generation: Case Study: ABC Foundation
Jefta Harlianto, Rudi, Lie Cheulie
Abstract In the development and competition era, human resource holds a very important role in the company. One of the most important elements regarding human resource is the quality, in this way it’s the competency that all employees in the company have. Challenge faced by company is how to manage employees which have three different generations, Baby Boomers Generation, X Generation and Y Generation. Companies need to adjust their management to create a productive working environment. The Generation composition data (year 2017) at ABC Foundation show: Baby Boomer Generation (4.03%), X Generation (33.06%), Y Generation (62.9%), it is seen that most of the employees are Y Generation. Based on that, Researcher want to research deeper on the relationship between the core competency of ABC Foundation with the performance result on Baby Boomer, X, and Y Generation. Data Analysis methods used is Correlation Relationship between two variables (Performance Appraisal and Core Competency), using Pearson Correlation with the help of SPSS software. Based on the correlation test using Pearson Correlation and Significance test result, there is strong correlation between Core Competency with Key Performance Indicator in BABY BOOMERS Generation and in each components of Core Competency with Key Performance Indicator. However for X dan Y Generation group, there are very weak correlation, But for each components of Core Competency with Core Competency in all Generations (BABY BOOMERS, X and Y) have a very strong relation.
[ FULL TEXT PDF 46-52 ] DOI: 10.22587/anas.2020.14.3.6
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Information Security and Knowledge Sharing: A Blockchain Perspective
Kai-Ping Huang
Abstract This study aimed to investigate the various paradigms on which the blockchain technology functions to ensure the highest standards of data transparency and security. Blockchain have been recently gaining much criticism on the grounds of scalability, security, and sustainability at large. However, even though the scholarly interests for the technology practice has increased substantially in the recent years, a comprehensive analysis regarding data security offered through blockchain applications has been severely lacking a systematic elaboration. According to the obtained results from this study, it was apparent that blockchain technology not only holds the potentials to ensure data security better than the traditional ways of information storing and sharing, but also maintains its flexibility to allow further reformations to suffice data security demands in the future.
[ FULL TEXT PDF 53-60 ] DOI: 10.22587/anas.2020.14.3.7
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Can the Polish-Belarusian border become the railway gate of the Belt and Road Initiative?
Joanna Gniedziejko
Abstract Bottlenecks in transport hinder the flow of goods between the producer and the customer. In the case of rail transport, the bottleneck may be the cross-border areas of the railway network, in particular border crossings. On the railway network of the Belt and Road Initiative, such a bottleneck is exemplified by Polish-Belarusian railway border crossings and infrastructure of the border area. Analyzing and evaluating the technical and operational parameters of the infrastructure, the bottleneck of Polish-Belarusian railway border crossings is presented.
[ FULL TEXT PDF 61-68 ] DOI: 10.22587/anas.2020.14.3.8
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Improved Deep Learning
Hafsa Raissouli, Samir Brahim Belhaouari
Abstract Deep learning techniques have been used extensively to solve recent complex real life problems. Since the impact of the activation function on the network is crucial, different and robust activation functions have been proposed to improve the performance of deep learning classifier. Once the network is built, the challenge of optimizing the performance of the network arises. This paper presents a new architecture approach for better optimizing deep learning parameters. The proposed activation functions have been tested on four different datasets and achieved an improvement of 2% accuracy over ReLU. The proposed architecture showed an improvement of 2.7% in accuracy and 1.7% in F-measure.
[ FULL TEXT PDF 69-75 ] DOI: 10.22587/anas.2020.14.3.9
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Fusion of Deep Learning and Handcrafted Features for Intra-Race Recognition
Samir Brahim Belhaouari, Athmar N. M. Shamhan
Abstract Although race-based classification of individuals has a major effect on surveillance, categorization of intra-race groups still needs much more precise classifiers. Therefore, most of computer vision methods attempt hard to enhance the recognition level of racial recognition systems, particularly in sub-racial groups. Most of earlier suggested techniques of racial recognition methods concentrated on the use of hand-crafted image features such as Gabor filter and Local Binary Pattern (LBP). Although most of these approaches are fast and straightforward to evaluate on a person's race, they may not sufficiently effective to achieve strong performance especially with intra-race group. The deep learning technique has accomplished state-of-the-art outcomes on challenging computer vision problems, which is proven to be appropriate for improving the capacity of handcrafted characteristics. In order to mitigate the issues mentioned above, we suggest a new hybrid technique for combining deep and handcrafted features for improve the performance on intra-race group. Our proposed method utilizes the convolutional neural network (CNN) method to obtain deep image features and Gabor filter to extract texture features from face images. After fusing the two types of image features, we do the classification task on the resulted hybrid features vector using SVM. Our experiments studies based on two close geographic race datasets show that the hybrid proposed method obtained better performance than that only use single image feature as well as comparable or even outperforms some existing models.
[ FULL TEXT PDF 76-83 ] DOI: 10.22587/anas.2020.14.3.10
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A neural network approach to PDE constrained optimization
Majid Darehmiraki, Samir Brahim Belhaouari, Arezou Rezazadeh, Saman Poursiah Navi
Abstract In this paper, a finite element method (FEM) is applied to convert the optimal control problem to convex quadratic programming (CQP) problems. Afterward, a neural network model is proposed to solve CQP problems, whose equilibrium points coincide with Karush-Kuhn-Tucker (KKT) points of the CPP problem. The neural network model has been constructed and the KKT condition for the CQP problem has been presented in this paper.
[ FULL TEXT PDF 84-88 ] DOI: 10.22587/anas.2020.14.3.11
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Regional landfill planning for improvement of waste management in Maputo, Mozambique
Chelsea Langa, Kengo Nakamura, Noriaki Watanabe, Takeshi Komai
Abstract This study consisted of selecting potential landfill sites in Maputo province where population increased from about 1 million to 2 million from 1997 to 2017. This growth resulted in waste increase and space reduction which are conflicting aspects in the selection of landfill sites. Eight criteria representing geophysical and social characteristics were analyzed on the Geographic Information Systems environment, namely soil, geology, slope, land use, road network, river, lakes and special protection units. Suitability indexes of each layer map where individually analyzed and later overlaid on the ArcMap environment. The maps were classified into 3 degrees, unsuitable, moderate and suitable. Analytical Hierarchy Process was used to measure the degree of importance and weights of each criteria. Finally, results show that 74% of the area is unsuitable, 7 % is moderate and 19 % is suitable. Results indicated that a regional landfill is necessary for the four disctricts to improve their waste management system.
[ FULL TEXT PDF 89-95 ] DOI: 10.22587/anas.2020.14.3.12
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Distance learning of Russian language as an effective tool for optimizing educational process
Dr. Victoria Kytina, Dr. Elizaveta Khamraeva, Dr. Svetlana Elnikova, Natalia Kytina, Dr. Victoria Kurilenko
Abstract The purpose of this article is to describe and analyze the possibilities of distance learning in the process of teaching Russian as a foreign language. The article clarifies the concept of "distance learning" and discusses the main directions of distance learning, analyzes and structured the complex of distance educational technologies that are used at Moscow Aviation University`s preparatory department on the base of UniKL MIAT Aviation Institute in Malaysia. The article outlines the methodological difficulties that lecturers solve in the process of distance learning. It is proved that when modeling the educational process using distance technologies, the lecturer should focus on the optimal modeling of the virtual educational environment, but at the same time preserve the basic methodological principles of the educational process, ensuring the continuity of the educational process in the absence or reduction of full-time interaction between students and the lecturer. The article proved that the most effective is the approach in which the lecturer takes into account all the accumulated methodological experience and applies new forms, methods and tools in the educational process.
[ FULL TEXT PDF 96-102 ] DOI: 10.22587/anas.2020.14.3.13
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The Effect of Exchange Rate, Exchange Rates Volatility and Export Price Index on Exports in Indonesia
Irni Yunita*, Dimas Ahadiman Satria Dwiputra, Aldilla Iradianty
Abstract The purpose of this article is to describe and analyze the possibilities of distance learning in the process of teaching This paper empirically investigates the impact of exchange rate, exchange rates volatility and export prices index forward export in Indonesia with the object used is export of non-oil and gas by commodity for the period from 2013:1 to 2017:12. The primary focus is the impact of exchange rate, exchange rates volatility and export prices index on exports from Indonesia. To achieve this purpose, various approaches were employed previously. In line with the previous studies, the Multiple Linear Regression method was employed. Appropriate tests to ensure the reliability of the analysis were undertaken such as T-test and F-test and also R2 Square. Our results indicated that exchange rate has a negative effect that significant towards export, Exchange rates volatility has a negative effect that not significant on export and export price index has a positive significant toward export. However, for the exchange rates volatility the relationship was not significant at a level of 5%.
[ FULL TEXT PDF 103-109 ] DOI: 10.22587/anas.2020.14.3.14
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Green Synthesis and Characterization of Zinc oxide Nanostructures using Paspalum conjugatum extract
Mark Angelou Siegaa, Yusof-den Jamasalia, and Nelia G. Autorb
Abstract This paper reports the synthesis of Zinc oxide (ZnO) nanostructures using Zinc Acetate Dihydrate and Sodium Hydroxide as precursors and mediated by Paspalum conjugatum (Carabao grass) extracts. The Zinc oxide nanostructures were characterized by Fourier-Transform InfraRed Spectroscopy, Ultraviolet-Visible Spectroscopy (UV-Vis), Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray Spectroscopy (EDS). FTIR reveals a ZnO signature in the spectrum. SEM shows a nanoflakes of average thickness 60 nm and its agglomerates of various sizes. UV-Vis reveals a strong absorbance below 300 nm and energy band gap of 3.47 eV. EDS confirms the occurrence of elements Zn, O and C in the sample.
[ FULL TEXT PDF 110-114 ] DOI: 10.22587/anas.2020.14.3.15
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Improving of operating parameters governing the tribological behaviour of carbon-carbon composite material
Eslam M.Ramadan, Dr. Tarek M. Abd El-Badia, Amro M. Youssef, Dr. Ahmed E. Hussien
Abstract Carbon carbon composites are used worldwide in high-end braking systems. The system is modeled as stator and rotor under contact. This paper discuss the tribological behavior for c/c composite. The parameters under investigation are reducing the weight loss, increasing service life. Design of experiment is carried out using taguchi method for optimizing the number of experiments. Response surface method is then used to obtain insight about the best combination of operating parameters. Operating parameters were optimized for reducing weight loss based on L9 taguchi orthogonal array design with three input parameters: applied load, rotational speed and time. Finding out the influence of input parameters on two responses (weight loss, coefficient of friction change). Analysis of variables was carried out using anova and regression equations for every response developed. Wear and friction properties of c/c composite were investigated by performing a dry sliding wear using disk on disk abrasive wear test. The Results showed that for weight loss the time at which contact between stator disk and rotor disk was the dominant factor on weight loss then the applied load come in second rank and finally the rotational speed. For friction coefficient the applied load was the dominant factor then speed and then the time.
[ FULL TEXT PDF 115-124 ] DOI: 10.22587/anas.2020.14.3.16
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