bluuebunny/crossref_metadata_2025 huggingface dataset:
Termination of Pregnancy by Rape Victim: the Dilemma in Malaysian Criminal Law
Authors: Rajamanickam Ramalinggam , Kok Ann Teh , Noor Azira Tengku Zainudin Tengku , Azam Mohd Shariff Ahmad
Published: April 2019

Abortion is a complex issue as people have different views and reasons to terminate a pregnancy. The act of abortion does not only involves adults but also young girls. Generally, abortion is an offence punishable under the Penal Code of Malaysia. However, the issue of abortion becomes crucial when the abortion involves the victim of rape. The contending issue is to what extent does the Malaysian Penal Code legally allow the victim of rape to undergo an abortion. The provision that allows abortion is ambiguous in this context. Therefore, this article intends to analyse the legal position relating to abortion by rape victims in the Malaysian Penal Code. This article also serves to compare the position of abortion by victim of rape in India and Singapore. The article finds that the exception to the general principle on abortion in the Malaysian Penal Code is inadequate in protecting rape victims as compared to India and Singapore. Hence, it is urged that Malaysia should revise the law on abortion relating to victim of rape. However, some challenges have been identified before the country can amend the law.
Literacy Virtual Entrepreneur in Indonesia
Authors: Tindas Arnold , Sumarlin Suryadi , . Sasmoko , B Oentoro Jimmy , Indrianti Yasinta
Published: April 2019

The potential strength of entrepreneurship in Indonesia lies in the potential of human resources who are a literate internet. Nevertheless, there are still some weaknesses that are not yet equal to the ability. The problem is how is the condition of Indonesian entrepreneur about its virtual literacy? Construct Validity uses the Item Response Theory (IRT) approach through Orthogonal Iteration. The reason, because all dimensions and indicators are the results of the theoretical studies are called as signs of the variables Literacy Virtual Entrepreneur Indonesia (Y). The number of samples of the instrument test was 81 entrepreneurs consisting of 27 districts/cities each represented 3 entrepreneurs. The R-criteria of the Product Moment is set at 0.221. Of the 32 items planned, proved to be all valid. The reliability of "valid instrument" of the Virtual Literacy variables of Entrepreneur Indonesia (Y) as internal consistency is calculated by Cronbach Alpha formula, the result is 0.892. Research methods with Neuroresearch. The result of the research: Firstly, Indonesian entrepreneurs tend to be significantly virtual literate on α <0,05. Second, having the capacity to realize information technology literacy (X4) is the most powerful indicator to realize the formation of Literacy Virtual Entrepreneur Indonesia (Y). It is able to determine an increase of 83,521 times from the condition of Literacy Virtual Entrepreneur Indonesia (Y).
The Problem of ‘Open Price Term’ in Contracts of Sale of Goods in Iran and under the United Nations Convention on Contracts for the International Sale of Goods
Authors: Akrami Farzaneh , Shaik Ahmad Yu Sakina , Mohamed Isa Suzanna
Published: April 2019

This is an undeniable fact is that incomprehensible or restricted rules cause problems for merchants as suppliers. This is more perceptible through domestic rules of the countries. However, international businessmen are also affected by existing conflicts in the international regulations. The concept of ‘open price term’ in contracts for the sale of goods is one of the best samples for developments in the world’s trade. However, regarding the open price term, the Iranian law has yet to adopt this vital phenomenon. On the other hand, if Iranian legislator aims to impose open price rules in the regulations, provisions of an international set of rules seem to be a useful model for such regulations as they are more common and have the capacity of being applied in the contracts made by parties from all over the world. As such, the United Nations Convention on Contracts for the International Sale of Goods (CISG), as an international set of rules containing open price rules is chosen in this paper to be studied as a model for such regulations. However, respective Article in CISG consists of some shortcoming as well. Thus, Adopting the doctrinal research method, in this paper aims to highlight the importance of adopting new rules for new methods of transaction and the necessity of amendments on existing rules.
The Historical Development of Hospitality in Makkah
Authors: S. Karban Abdullah. , B.M. Jusan Mahmud. , Halim. Hussein Abdul , S. Al-Aboud Naif.
Published: April 2019

Islamic hospitality is a reflection of religious and cultural values and principles that aim to enhance unity, equity, and social relationships. Despite its increase in demand by Muslims and even non-Muslims, the main principles of Islamic hospitality has been neglected due to the emergence of contemporary forms of hospitality. Therefore, the aim of this review paper is to establish a modern approach which will promote the concept of Islamic hospitality in Makkah. The Islamic hospitality in Makkah city was selected due to its recent transformation towards the contemporary concept of hospitality. To achieve the research aim, systematic literature review was conducted to evaluate the historical development of Islamic hospitality, and the challenges it has encountered recently. Afterwards, it was identified that Islamic hospitality in Makkah has witnessed significant changes such as: Ibrahimic Hospitality, Arabic Hospitality, Islamic Hospitality, and Contemporary Hospitality. Based on the aforementioned, this paper recommends modern strategy to redefining the concept of Islamic Hospitality. This will enable the Islamic hospitality in Makkah to retain its religious and cultural values and principles, rather than becoming a way of acquiring money and reflecting the commercial hospitality principles.
Pomegranate Juice Induced Cell Cycle Arrest and Apoptosis via Mitochondrial Pathway in Human Lung Adenocarcinoma A549 Cells
Authors: Abdul Ghani Radiah , Nurasyikin Nik Abdul Malek Nik , Abdullah Norzamzila
Published: April 2019

Lung cancer is the most common type of cancer which the mortality rate increases year by year. Therapeutic drugs could not control the progression of cancer and it contributes to the side effects in normal cells. Thus, an alternative strategy using natural product becomes a focus today. Punica granatum, known as pomegranate has demonstrated the anti-proliferative effect in A549 cells. To further confirm its efficacy, this study aimed to investigate the type of cell death and its pathway in A549 cells. Propium Iodide staining was applied to determine the cell cycle profile changes induced by this juice. The determination of type of cell death was done using Annexin-V staining and later will be analysed using flowcytometer. The pathway to apoptosis was investigated by determining the caspase- 3, 8 and 9 activities. The findings were supported by mitochondrial membrane permeability assay and cytochrome c release detection which were later analysed using flowcytometer. This study revealed that pomegranate juice induced cell cycle arrest at G0/G1 phase and apoptosis through intrinsic pathway following 24 h treatment. Pomegranate juice caused loss of mitochondrial membrane permeability after 48 h [p<0.05] exposure and a release of cytochrome c in cytosol after 24 h [p<0.05] and 48 h [p<0.01] exposure in treated A549 cells. In caspases analysis, it was showed that there was activation of caspase-3 following 72 h [p<0.01] treatment and caspase-9 after 48 [p<0.01] and 72 h [p<0.05] exposure in treated A549 cells. It can be concluded that pomegranate juice able to cause A549 cell growth inhibition by inducing cell cycle arrest and apoptosis through mitochondrial pathway.
Evaluation of Entrepreneurship Education on Development Program of Product Sorghum
Authors: Noerhartati Endang
Published: April 2019

This study aims to evaluate and expand the educational entrepreneurship program based on sorghum products. Education entrepreneurship is a compulsory subject for students Agroindustrial Technology Department. Sorghum is one of the potential industrial materials as raw material of entrepreneurship activities. Data were taken through observation, questionnaire, and interview on sixth semester students. Observations focused on responses from practice, responses to commission business opportunities, and observed the output of beginner entrepreneurs practiced. Data were analyzed statistically, to improve the entrepreneurship education process and to develop the sorghum business in Indonesia. In the education process is accompanied by Center for Sorghum Entrepreneurship (CSE). The results achieved create new educated sorghum-based entrepreneurs, produce healthy entrepreneurship products, and mentoring processes by CSE should be implemented continuously in the development of entrepreneurship education programs and to develop a business of sorghum-based products, so can achieve its goal that is to support the food security and sovereignty program of the Government of Indonesia.
Attachment Insecurities and Marital Satisfaction
Authors: Yahya Fatahyah , Md Husaini Nurhanani , Razlin Mohammad Roose Aina , Fatihah Mat Yusoff Nur
Published: April 2019

This study identifies the relationship between attachment insecurities; Attachment Avoidance and Attachment Anxiety, and Marital Satisfaction; Dyadic Cohesion, Dyadic Satisfaction, Dyadic Consensus, and Dyadic Affectional Expression among married couples. A correlational research design was adopted in this study to address the objectives of the research. Seventy respondents among married couples in West Peninsular of Malaysia were selected to participate in this research. Two sets of questionnaires were developed and reviewed by two expert panels before piloting and distributing to the participants. The structure and content of the questionnaires were specific to main two areas; Experience in Close Relationship (ECR) and Dyadic Adjustment Scale (DAS). The data was collected and analysed using SPSS descriptive statistic and Pearson correlation. The findings indicated that there was a significant relationship between attachment insecurities and marital satisfaction. Furthermore, it is recommended based on the results that community counsellors’ conduct group counselling sessions to facilitate married couples’ understanding of attachment insecurities which will help to enhance the satisfaction in their marital relationships. It is also recommended based on the work performed, limitations and findings in this study that further research is conducted to conduct a similar research program, with a broader and more substantial population size covering multiple communities, again with a specific focus on married couples and to improve their marital satisfaction with their relationships.
Professional Learning Community in Malaysia
Authors: Hassan Roslizam , Ahmad Jamilah , Boon Yusof
Published: April 2019

The professional learning community (PLC) is a platform for teachers to share their opinions and experiences especially with respect to the quality of teaching and learning processes (PdP). This partnership gives teachers more added value because they have the opportunity to improve their self-esteem and to keep in pace with the developments in the education world. This concept paper will discuss a number of issues related to PLCs such as PLC's background and development, PLC definitions, the development of PLC concept, PLC models and the issues and challenges that exist in implementing PLC. The analysis was done in the context of Malaysia and abroad. The paper is written based on extensive secondary data analysis. After examining all matters related to PLC, it can be concluded that PLC is a form of partnership that every school teacher needs to practice either in the context of education in Malaysia or anywhere in order to drive excellence in a school. With a lot of challenges nowadays regarding the implementation of PLC, this issue needs to be addressed so that the quality of teachers can be enhanced and will further influence the students' academic achievement.
Gender as a Moderator of the Influence Entrepreneurial Education and Entrepreneurial Characteristics on Entrepreneurial Intention
Authors: Kusmintarti Anik , Ismanu Sidik , Indah Riwajanti Nur
Published: April 2019

The Indonesian government continuously strives to increase the number of entrepreneurs, and universities are expected to play an active role in fostering entrepreneurial spirit among students. This study was aimed to analyze the role of gender as a moderator of entrepreneurial education influence and entrepreneurial characteristics on entrepreneurial intention. Population of the study was the students  of the State Polytechnic of Malang who have involved in the Student Entrepreneurial Program in 2015 and 2016. The study used judgment sampling technique to select the respondent and the data collected through questionnaires distribution. Data analysis used descriptive statistics and moderation regression analysis. The results of study show that gender does not moderate the influence of entrepreneurial education and entrepreneurial characteristics on entrepreneurial intention. The result can be interpreted as nothing difference in the intention of opening new business in the future for male and female students who have followed entrepreneurship lecture, entrepreneurship seminar, entrepreneurship expo, and business practices. Furthermore, there is not difference in the motivation of opening new business in the future for male and female students who have  characteristics : self-efficacy, need for achievement and social networking. Self-efficacy contributed the highest in supporting the entrepreneurial characteristics.
Learners’ Perspective on Critical Factors to Cloud VLE Success: an Empirical Investigation
Authors: K Rahimah , H Nor Aziati A , H.B Adnan , N Latipah , A Maizurah
Published: April 2019

The use of Virtual Learning Environment (VLE) in academic institutions is becoming an imperative for many institutions. The growth of the advanced education system now is depending on the increased of Virtual Learning Environment (VLE) technology utilization. Education institution communities are encouraged to adopt a variety of VLE technology to support the process of teaching and learning.  The objective of this research is to measure perspective of VLE acceptance among lecturers in the context of Moodle application by using data from 541 lecturers at selected Higher Education Institutions. A framework of research constructed based on a comprehensive study on the theory of service quality and the Technology Acceptance Model (TAM). Eight factors hypothesized which consist of five independent variables; organization support, knowledge support, technical assistance, system characteristics and lecturer style and innovation, two belief variables; perceived usefulness and perceived ease of use and one dependent variable;  behavioral intention to use the VLE. All the factors were tested to determine whether they are important in influencing future use of the VLE and statistical analysis methods determined the key driving factors. Results of regression analysis showed that university lecturers have an above average level of VLE acceptance with the very high level of significant value.
Organization Support for Cloud Computing Implementation Success in Education System: Scale Development and Validity in Delphi
Authors: K Rahimah , H. Nor Aziati A , H.B Adnan , Adly Mohd Noor Helmi , Abdul Rahman Fauziah
Published: April 2019

Cloud computing (CC) support for learning systems has been viewed as one of the most discussed issues that promise to modernize computing by providing visualized resources as a service over the internet. To be stable in cloud computing acquisition requires an education institution to address many of the same concerns they face in implementing an Information System (IS) service. Currently, there is still lack of CC implementation standard and organizational support that impacted VLE system performance. Previous research has reported that the influence of the CC implementation decision depends on the impact of various factors studied. Nonetheless, organizational support is the least factor mentioned especially studies from Malaysia. Thus, the main purpose of this study is to develop a validated scale of organizational support in implementation decision activities towards CC implementation success. In this paper, the Delphi process adopted to measure consensus among nominal group technique (also known as the expert panel). Key methodological issues in using the methods are discussed, along with the distinct contribution of consensus methods as aids to decision making in education service development. The study has adapted stages of proses flow of scale development and validation of measurement items according to legitimate measures in the Delphi technique. The measurement scales formed are based on literature review and field studies conducted to increase the reliability and validity values. Organizational support constructs were divided into top management support, firm size, awareness, Technology Readiness and cost effectiveness. A total of 5 items have been successfully set up for further validation.
Application of the Discrete Laguerre Wavelet Transform
Authors: Satyanarayana Bavanari , Abdulelah Aama
Published: April 2019

In this work, Discrete Laguerre Wavelet Transform (DLWT) was used in the processing of images where they were divided into blocks and each block dimension is equal to matrix dimension obtained from DLWT. The concepts Peak Signal to Noise Ratio and Mean Squared Error were used. The examples used to prove the efficiency of the proposed method where good and convincing accounts were obtained.
Investigation of PV Connected Multilevel Cascaded H-Bridge Inverter Using Disposition Techniques
Authors: Khan Patan Muzeeb , Udaya Bhanu P , D. Azahar Ahmed M
Published: April 2019

Inverters have many Technological improvements in their maximum power handling capabilities by using renewable energy sources. Multilevel inverters give effective and efficient interface for renewable energy sources and perform Transformer-less operation and increase the power quantity and quality of voltage of the PV system. In this paper, the benefits of H-bridge inverters including the total harmonic distortions are discussed. This paper has primarily focused on Sinusoidal PWM and worked on the carrier based phase disposition techniques. The performances of modulation schemes are compared. Simulations were done using MATLAB Simulink for the given PWM techniques.
Implementation of Fuzzy Logic Controller in Three Area Multi Source LFC System
Authors: Sriram Vivek B , Swetha K , Vijaya Kumar D
Published: April 2019

The objective of this paper is to analyze power system with is interconnected with neighboring areas and having multisource power generation which is equipped with the fuzzy logic controller. Thermal, hydro and gas generating stations is used in each control area by considering real power environment. The proposed controller is tested with sudden step load disturbances. The dynamic response of LFC problem is studied by comparing with conventional controllers using MATLAB simulink software and found dynamic responses obtained satisfy the LFC requirement.
A Study on Pseudo Symmetric 𝚪-Ideals in Ternary 𝚪-Semigroups
Authors: Vasantha M , Madhusudhana Rao D , Satish T , Kumar Srinivasa
Published: April 2019

In this paper section 1 reflects, the terms, ‘PST𝚪-ideals’ of a ternary Γ-semigroup and ‘PST𝚪-semi group’ are introduced can characterized PST𝚪-semi group. In section 2, the terms, ‘SPST𝚪-ideals, ‘SPST𝚪-semi group’ are introduced and classified these  SPST𝚪-ideals.
Flash Flood Warning Sub-Systems for Rural Africa
Authors: N. Mbau Stella , Thiruchelvam Vinesh
Published: April 2019

This paper aims to present the need for sub-systems in rural Africa for real-time warning delivery. It has been reported in previous studies, that Sub-Sahara Africa lacks weather radars. This means that there are no real-time early warnings presenting a gap in knowledge that this study aims to address. This is done through the following objective; to examine the relationship between variables in the study and therefore, establish whether sub-systems are a significant variable in flash flood warning systems for rural Africa. The variables to be examined are; the independent variable (existing warning system), the dependent variable (early warnings), the moderator variable (ancillary elements) and the mediator variable (sub-systems). This is investigated through a closed-ended questionnaire that is administered to a sample of meteorologists whose email addresses are available on the World Meteorological Organization’s expert database. The target sample is determined through the G*Power application. The data is analyzed on SPSS. Variables in the study are found to be correlated after conducting a Pearson’s correlation test. Using PROCESS allows for the testing of various models where moderation is confirmed. A moderated mediation model is also confirmed. The results confirm that sub-systems are significant enough to be developed for rural Africa.
Creation of New Analogues of Natural Phytogormons for Increasing the Yield of Agricultural Crops
Authors: Oral Zhylkybaev , Mereke Alimzhanova , Kazhybek Ashimuly , Sabina Shoinbekova , Zulfia Tukenova
Published: April 2019

Synthesis of new potential plant growth regulators (analogues of natural phytohormones) is accomplished by mixing an equimolar mixture of aryloxypropin and 1-methylpiperidin-4-one under the conditions of Favorsky's reactions. New derivatives of acetylene aminoalcohols - the ZhOT series - have been obtained. The structure of the synthesized compounds was established by IR and NMR 1H spectroscopy. Screening of their water-soluble forms, on wheat and barley seeds, two preparations (ZhOT-4 and ZhOT-7) were selected, which exceed both the control and standards of known phytohormones, such as heteroauxin (indolyl-3-acetic acid), 6-BAP (6-benzylaminopurine) for further testing. Conducted in-depth laboratory and demonstration field tests on cereals (wheat and barley) showed high efficiency of ZhOT-4 and ZhOT-7, the indicators of which exceeded the well-known reference preparation - Agrostimulin (Ukraine). The growth regulating activity of synthesized compounds was determined. Processing of wheat seeds ZhOT-4 and ZhOT-7 increased the field germination of seeds, plant height, leaf area, the mass of the aerial part and the total area. The conducted studies showed that the biological activity of the tested compounds largely depends on the concentration and the best growth regulator is ZhOT-4. The activity of the synthesized growth regulatory compounds has been determined. Treatment of seeds of with ZhOT-4 and ZhOT-7 increased seed germination, height of plants, leave areas, weight of an elevated part and the total area, weight of an elevated part and the total area. Studies have shown that the biological activity of tested compounds is largely dependent on the concentration and the best growth regulator is ZhОТ-4. Thus, the advanced laboratory and demonstration (small-scale) comparative tests of ZhOT-4 and ZhOT-7 and the well-known reference preparation "Agrostimulin" (Ukraine) for cereals (wheat and barley) showed high efficiency of new synthesized preparations. The use of ZhOT preparations increases the germination and germination energy, the number of spikelets, the mass of grains, the bushiness and the yield of wheat and barley, leads to the accumulation of dry mass in both the ground and underground parts of plants. The advantages of ZhOT-4 and ZhOT-7 are: high efficiency, a wide range of cultures, good solubility in water, low application dose of 0.0001% by active ingredient (1g per 1t of water) or 13-50 mg per hectare, comparable to natural phytohormones, long shelf life, safety, high yield of target products, sequential 3-stage reaction in one reactor.
Chassis Structural Design of Track Racing One Manned Formula Car
Authors: W. Lim J , Sivaguru S
Published: April 2019

The current work contains the design and optimisation of a spaceframe chassis for a track racing one manned formula car able to participate in the Formula Society of Automotive Engineers (Formula SAE) 2017/2018. Materials, profile cross section types were selected by considering the theories of elastic failure. The structural strength of the chassis was determined by Finite Element Analysis using ABAQUS software by determining the stress distribution during static and dynamic loading in addition to exposing the modal frequencies. Beam elements were used in the finite element model as it provides accurate modelling of small deflection bending responses. A simple baseline chassis design was developed that adheres to the Formula SAE 2017/2018 rules. Optimisations were made in terms of the configuration and material utilisation of the chassis members were done to prevent yielding during the static loading of car components and dynamic loading during acceleration and cornering. Furthermore, the same method of optimisation was used in prevention of the coincidence of natural frequency with the frequency of the engine.
Experimental Investigations on Concrete with Fly Ash and Marble Powder for Paver Blocks
Authors: Meera Miss , Durga Vara Prashad B , Gupta Supratic
Published: April 2019

The construction industry is capable of absorbing large amounts of wastes by utilizing them in other useful products. Thermal power plants and marble industries produce huge quantities  of bi-products which causes environmental problems. Utilization of these in concrete will save natural resources to some extent and solve the disposal. Interlocking concrete block pavements are simple to construct and maintain. The main objective of this research is to develop an eco-friendly paver block while considering the economy as a defining parameter. In this research, experimental investigations were carried out on the paver blocks to know the feasibility of using fly ash and marble powder. For paving block concrete, it is partly replaced with cement and aggregates with fly ash and waste marble powder. Various tests for mechanical and durability properties were conducted. All the properties were improved when compared to the control mix. Utilization of fly ash and marble powder in concrete reduces the cost of paver blocks and making it economical and eco-friendly.
Joint Segmentation Methods of Tumor Delineation in PET – CT Images: A Review
Authors: Rossi Farli , Aizzuddin Abd Rahni Ashrani
Published: April 2019

Segmentation is one of the crucial steps in applications of medical diagnosis. The accurate image segmentation method plays an important role in proper detection of disease, staging, diagnosis, radiotherapy treatment planning and monitoring. In the advances of image segmentation techniques, joint segmentation of PET-CT images has increasingly received much attention in the field of both clinic and image processing. PET - CT images have become a standard method for tumor delineation and cancer assessment. Due to low spatial resolution in PET and low contrast in CT images, automated segmentation of tumor in PET - CT images is a well-known puzzle task. This paper attempted to describe and review four innovative methods used in the joint segmentation of functional and anatomical PET - CT images for tumor delineation. For the basic knowledge, the state of the art image segmentation methods were briefly reviewed and fundamental of PET and CT images were briefly explained. Further, the specific characteristics and limitations of four joint segmentation methods were critically discussed.
Synthesis and Characterization of Cocozone Oil as Skin Care Ingredient
Authors: . Enjarlis , Handayani Sri , Anwar Yenny
Published: April 2019

Cocozone Oil (CCO) is one of the ozonated oils, obtained by the ozonation process of Virgin Coconut Oil (VCO), that can be used as a material for skin care products. The purpose of this study was to determine: (1) the optimum time and ozone dose for CCO synthesis from VCO using ozonation; (2) the changes in physico-chemical properties of the oil; (3) the change in saturated-unsaturated fatty acids content and the existence any new substances in the CCO. The ozonation of VCO was carried out for 25 hours, with monitoring at the intervals of 4, 8, 12, 16, 20 and 25 hours, at a constant temperature (25 °C) with an ozone flow of 0.25 g/hr. From this study it can be concluded that: (1) The optimal time or dose of ozone required for the synthesis of CCO from VCO through the ozonation process was 25 hours or equivalent to 0.0208 gr O3/ml VCO, (2) Physico-chemical characteristics of the CCO produced: resulting acid value (AV) was 2.71 mg/gram i.e. an increase of 630%; the peroxide value (PV) obtained was 238,77 mgrek/kg i.e. increase  of 3,453 %; the Iodine value (IV) was 0 (zero) i.e. a decrease of 100%; and, the viscosity was 13.30 centipoice i.e. it rose 116%; (3) the total content of saturated fatty acid increased by 3.34%  whereas the unsaturated fatty acid decreased by 98.83; and based on the analysis results of 13C and 1H NMR spectra, the resultant CCO contains a new substance, that is aldehydes.
A Study of Autonomous Navigation of a Robot Model based on SLAM, ROS, and Kinect
Authors: Ganiev Asilbek , Hee Lee Kang
Published: April 2019

In this paper, we used a robot operating system (ROS) that is designed to work with mobile robots. ROS provides us with simultaneous localization and mapping of the environment, and here it is used to autonomously navigate a mobile robot simulator between specified points. Also, when the mobile robot automatically navigates between the starting point and the target point, it bypasses obstacles; and if necessary, sets a new path of the route to reach the goal point.
The Beauty Industry and Engineering Technologies
Authors: Jin Kwon Hye , . .
Published: April 2019

This study attempted to converge beauty and engineering for the purpose of overcoming the limitations of the current emotion-centered beauty industry and creating quantitative and objective values of beauty. This study also examined engineering technologies currently in use in the cosmetics field and analyzed them in a quantitative manner. Thereby this study intends to provide basic knowledge on a new convergent study area that is broadly applicable to the beauty industry and its all related fields.
Design of Power Monitoring Security Module for Embedded Device with Elliptic Curve Algorithm
Authors: Jeon Angyoon , Ko Youngho
Published: April 2019

Currently, we are pursuing smart home construction, intelligent living environment, environment-friendly residential living and quality of life. However, power monitoring terminals using various wired and wireless networks and protocols in home networks are very vulnerable to security. In this study, we design and develop security system for smart meter terminal which can analyze the cryptographic technology of smart meter, which is vulnerable to physical attack, and exposes personal information from the outside, and maximize the efficiency of terminal.
Development of Functional Healthy Korea Traditional Soondae with Addition of Organic Farming Pumpkin Using Sensory Evaluation
Authors: Kyun Young , . Kim
Published: April 2019

In this paper, in order to propose the standard cooking method of Soondae, which is one of most favorite traditional food sausage type Korea.Nowadays, obesity and cardiovascular diseases are changing food consumption habits; these changes have fostered the development of products with functional ingredients that meet the market demands for maintaining a healthy body. The people's interest to the healthy, Low-calories food is growing up, the Foodservice industry is developing and making Functional food, which helps to a sale strategy.In order to propose the standard cooking method of Soondae, which is one of most favorite traditional food sausage type Korea, In This study was to develop the Soondae with addition of organic farming pumpkin using sensory evaluation. The survey for the recognition and preference for Soondae using organic farming pumpkins performed from 15 to May 30 in the year of 2018 by subjecting 159 customer, and frequency analysis was used for the statistical technique. We analyzed the possible data by use of statistic program SPSS Windows 18.0 Version. Through the survey results, the organic farming pumpkin Soondae develop new products and recipes.Questionnaire investigation result for the group revealed that 60% or more of the group showed common level of their interest in the development of Pumpkin Soondae. Improved texture added pumpkin. Dietary fiber, crude protein of Pumpkin Soondae increased but crud fat and salinity of Pumpkin Soondae were decreased. Pumpkin Soondae functionality has been improved. Modern men, colorectal cancer, adult diseases, such as cardiovascular disease and increase as the increase of dietary fiber and carbohydrate reduction seem to have a very positive effect.
Deep Convolution Neural Networks for Medical Image Analysis
Authors: Jae Lim Myung , Eun Kim Da , Kun Chung Dong , Lim Hoon , Man Kwon Young
Published: April 2019

Breast cancer is a highly contagious disease that has killed many people all over the world. It can be fully recovered from early detection. To enable the early detection of the breast cancer, it is very important to classify accurately whether it is breast cancer or not. Recently, the deep learning approach method on the medical images such as these histopathologic images of the breast cancer is showing higher level of accuracy and efficiency compared to the conventional methods. In this paper, the breast cancer histopathological image that is difficult to be distinguished was analyzed visually. And among the deep learning algorithms, the CNN(Convolutional Neural Network) specialized for the image was used to perform comparative analysis on whether it is breast cancer or not. Among the CNN algorithms, VGG16 and InceptionV3 were used, and transfer learning was used for the effective application of these algorithms.The data used in this paper is breast cancer histopathological image dataset classifying the benign and malignant of BreakHis. In the 2-class classification task, InceptionV3 achieved 98% accuracy. It is expected that this deep learning approach method will support the development of disease diagnosis through medical images.
A Study on the Psychological Analysis System Using Machine Learning
Authors: Young Lee Ki , Ho Kim Kyu , Jin Kang Jeong , Jai Choi Sung , Soon Im Yong , Seok Choi Gyoo
Published: April 2019

Real-time facial expression recognition and analysis technology is recently drawing attention in areas of computer vision, computer graphics, and HCI. Recognition of user’s emotion on the basis of video and voice is drawing particular interest. The technology may help managers of households or hospitals. In the present study, video and voice were converted into digital data through MATLAB by using PCA(Principal Component Analysis), LDA(Linear Discriminant Analysis), KNN(K Nearest Neighbor) algorithms to analyze emotions through machine learning. The manager of the psychological analysis counseling system may understand a user’s emotion in an smart phone environment. This system of the present study may help the manager to have a smooth conversation or develop a smooth relationship with a user on the basis of the provided psychological analysis results.
A Study on Development of IoT Software Vulnerability (Using Fake Information) Response System based on Artificial Intelligence
Authors: Mook KANG Jang , Hee YOON Choel , SHIN Jiho
Published: April 2019

The use of IoT devices such as wearable digital devices based on mobile devices is increasingly evident. In IoT-based environment, communication protocol of IoT category and lightweight special environment software are used instead of universal network configuration. Due to the operating structure of IoT, preparation of countermeasures to automatically analyze IoT software vulnerabilities based on artificial intelligence should be considered. Because of the rapid growth of IoT equipment and the expectation that there will be a sharp increase in the need to identify facts about vulnerabilities and improper use associated with IoT services naturally. It is necessary to apply artificial intelligence technology for classification and automatic collection and analysis of IoT vulnerabilities for wearable devices and smart home devices through artificial intelligence analysis technology. Sequentially, To acquire the data from the device, internal data and network data of the specified device after searching the protocol of the IoT device, it is possible to cope with IoT software vulnerability applying AI intelligence analysis method to related data. In this paper, we investigate software vulnerabilities in IoT environment and propose a technique to cope with ioT vulnerabilities through artificial intelligence.
Occlusion Images Generation from Occlusion-Free Images for Criminals Identification based on Artificial Intelligence Using Image
Authors: LEE Yonggeol , Mook KANG Jang
Published: April 2019

In this paper, we propose the method to generate occlusion images which include sunglass and scarf from occlusion-free images for criminals identification. First, we construct an auxiliary set that has occlusion-free face image and its occluded face images from AR database. Secondly, pixel weights are determined by the statistical analysis of the degree depending on whether occlusion-free or occlusion. As the weight is closer to 1, the pixel value of original image is maintained as much as possible. Therefore, pixel values of occlusion-free region are preserved when the weights are closed to 1. Third, pixel values of the occlusion region of original image are replaced to pixel values which are the mean of occlusion images by multiplying the composited weights. As a result of generate face images with various occlusions using the proposed method, the images were able to preserve the person-specific characteristic, and criminals identification has become easier.
Design of Link Evaluation Method to Improve Reliability based on Linked Open Big Data and Natural Language Processing
Authors: SHON Yonglak , PARK Jaeyoung , KANG Jangmook , LEE Sangwon
Published: April 2019

The LOD data sets consist of RDF Triples based on the Ontology, a specification of existing facts, and by linking them to previously disclosed knowledge based on linked data principles. These structured LOD clouds form a large global data network, which provides a more accurate foundation for users to deliver the desired information. However, it is difficult to identify that, if the presence of the same object is identified differently across several LOD data sets, they are inherently identical. This is because objects with different URIs in the LOD datasets must be different and they must be closely examined for similarities in order to judge them as identical. The aim of this study is that the prosed model, RILE, evaluates similarity by comparing object values of existing specified predicates. After performing experiments with our model, we could check the improvement of the confidence level of the connection by extracting the link value.
A study on the corrosion index of Tap Water(TW) and Reclaimed Water(RW) using KWI(Korea Water Index) and KRWI(Korea Reclaimed Index Water) method
Authors: Rasheed Usman , Lee Hyundong , Kong Myeongsik , Kwak Pilljae
Published: April 2019

This study aim to find the corrosion index of Tap water and Reclaimed water using KWI (Korea Water Index) and KRWI (Korea Reclaimed Water Index) method. The impact of corrosion inhibiting factors (pH ,hardness, alkalinity) and corrosion accelerating facor (TDS, chlorine ion, sulphate ion) has studied. The corrosion assessment method based on the corrosion index is used in predicting corrosion and offering information on the control of corrosive water quality.
The Virtual Reality Experience and Leisure Experience of Screen Horse Riding Participants: from the ‘Simulation’ point of view by Boudrillard
Authors: Jeong Mi Lim , Soo Woen Lim , Hyun Ok Oh
Published: April 2019

This study aims to gain depth understanding of the virtual reality experience experienced by screen riding, to analyze in depth and interpret from the perspective of Boudrillard through a subjective and subjective perspective of leisure users. In this study, after learning about the experience of virtual reality symbols built into them through screen riding, the leisure experience of screen riding participants was further identified. The double-checking results are as follows. First, experience in the virtual reality of screen riding can be described as a fusion of virtual reality symbols and experiences. The virtual reality symbols inherent in screen riding are expressed as spatial symbols, behavioral symbols, and contents, and the fusion of experience means a transcendental and a transformative environment. Second, screen riding was a derivative of the study that enabled participants to enter horseback riding more easily and to continue with leisure activities, also to help with posture correction, constipation, diet, and Kegel exercise. thereby enhancing fun and desire for horseback riding. In the study, participants were focusing on subjective feelings arising from the experience of horseback riding, and they stated that the body's sensory stimuli increased the quality of life and felt happy. In this study, the leisure activities are satisfied with the simulacra which can replace reality according to the subjective viewpoint of the leisure experiencer and the reflection of personal circumstances in the virtual reality of screen riding sports which is IT fusion. In the future, It is necessary to study the consumption patterns and the popularity of the emerging virtual reality sports since various virtual reality sports are becoming popular and are being built into the culture of life.
Real-time Big Data Processing System to Improve Semiconductor Production Efficiency in Smart Factory
Authors: Lee Hyeopgeon , Kim Young-Woon , Kim Ki-Young
Published: April 2019

Semiconductor production efficiency is closely related to the defect rate in the production process. The temperature and humidity control in the production line are very important because these affect the defect rate. So many smart factory of semiconductor production uses sensor. It is installed in the semiconductor process, which send huge amounts of data per second to a central server to carry out temperature and humidity control in each production line. However, big data processing systems that analyze and process large-scale data are subject to frequent delays in processing, and transmitted data are lost owing to bottlenecks and insufficient memory caused by traffic concentrated in the central server. In this paper, we propose a real-time big data processing system to improve semiconductor production efficiency. The proposed system consists of a production line collection system, task processing system and data storage system, and improves the productivity of the semiconductor manufacturing process by reducing data processing delays as well as data loss and discarded data.Â Â
Development of real-time big data analysis system for RHIPE-based marketing in the automobile industry
Authors: Kim Young-Woon , Lee Hyeopgeon
Published: April 2019

In the automobile industry, the contract information of vehicles contracted through sales activities, as well as the order data of customers who purchased cars, and vehicle maintenance history information all accumulate in relational databases over time. Although accumulated customer and vehicle information is used for marketing purposes, processing and analyzing this massive data is difficult, as its volume con-stantly increases. This problem of managing big data is commonly solved by utilizing the MapReduce distributed structure of Hadoop, which uses big data distributed processing technology, and R, which is a widely used big data analysis technology. Among the methods that interconnect Hadoop and R, the R and Hadoop integrated programming environment (RHIPE) was developed in this study as a real-time big data analysis system for marketing in the automobile industry. RHIPE allows us to maintain an interactive environment and use the powerful analytical features of R, which is an interpreter language, while achieving a high processing speed using Map and Reduce func-tions. In this study, we developed a real-time big data analysis system that can analyze the orders, reservations, and maintenance history contained in big data using the RHIPE method.Â
Corrosion Prevention on Coated Rebars and Fiber in R.C Slabs
Authors: M.Tamil Selvi Dr , J Hathari Evangalin Ms. , S. Gayathri M.s
Published: April 2019

Concrete structures prevail primarily due to prior attrition of steel due to preterm failure of rebars. The major cause of deterioration is the corrosion of the steel reinforcement, that can lead to structural problems. By utilizing our knowledge on corrosion of steel reinforcement, concrete structures could be made more durable. The research work is intend at arrestcorrosion in RC slabs by glazing silicon tombac to the steel rods. Nylon fiber is induced in concrete to attain strength for the concrete. A study report carried the effects of coating material between the conventional and fibers in concrete was compared with that of uncoated material between the conventional and fiber in concrete rebar’s. A continuous corrosion process is accelerated by inducing direct current to rebars. Process used to prompt corrosion is Accelerated corrosion test and Half-cell measurement.
Development of Test Rig for Centrifugal Air Strainer
Authors: N Karthick , N Gayathri , T V B Babu , S Nandhakumar , S Mugunthan , B Yuvaraj
Published: April 2019

This paper is a description of an alternative method for the testing of air strainer in the railways. In traditional method they can’t test the filter with full accuracy, so semi-automatic method is needed to check the sealing of the filter effectively. Test rig is used to check the sealing of the air strainer. This paper addresses two major issues from the previous method of testing.(1)     Requirement of skilled labors in work.(2)     Precise inspection is   not possible. The test rig being used currently requires more setting up time and the cost of the process is more. This paper describes a test rig which can reduce cost of the process and be able to reduce the human error by semi-automatic method.
HPV Sensing by CNTFET Array Nanobiosensor.
Authors: Kumar D. R Santhosh , P.V. Rao Dr
Published: April 2019

Women life is threatened by the cervical cancer each time worldwide. The cervical cancer high grade pre cancer is due to HPV E6 and E7 agents. Nano materials show a key role in medical analysis and action. CNTs (Carbon Nano Tube) have very unique electrical and mechanical properties which are useful in the bio-application. The conventional based biosensors can be improved by CNT based biosensors with respect to sensitivity, selectivity and simple in operation. In comparison with the silicon transistors, CNTFET (Carbon Nano Tube Field Effect Transistor) nano device takes less power and performs faster. The research paper covers working of CNTFET based nano biosensor to detect cervical cancer antibody. 4 x 4 CNTFET sensor array is designed to detect antibody variations on CNTFET gate. The sensor current varied from 4.286 µA to 15.435 µA for gate voltage varied from 0.2 V to 1.06 V. The improved 64 CNTFET based biosensor performs better in sensing the analyte of different concentrations.