bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of State Defense Policy in Border Area A Case Study in Natuna District, Indonesia
Authors: Mulyawan Rahman , Sri Kartini Dede 
Published: July 2019

Natuna Regency is a border area between the Republic of Indonesia with Malaysia and Vietnam, in this region there had been tension when China put Natuna into their sovereign territory. As a border area, Natuna has a strategic position, but defense development in this region is relatively left behind. This study focuses on the implementation of state defense policy in border area, especially in Natuna â€“ Indonesia. The method used in this study is qualitative research. Primary data in this research is the information form from informants, and secondary data obtained from various documents, journals, scientific papers, and others. From the research that has been done, it is known that the implementation of state defense policy in border area was not running well, based on the environmental aspect the stability condition in border area still weak, it is caused by the non-submission of the central defense authority by the central government to the Natuna Regency government which has special character as the border area between countries.Â Â Â
Indonesian Consumersâ€™ Purchase Behaviour of Green Innovative Product
Authors: Widodo Arry , Abdul Wahid Nabsiah 
Published: July 2019

This study aims to determine the reasons why Indonesian consumers buy innovative green products (Pertalite RON 90) using CAB attitude theory. This theory assumes that individual behavior (such as the decision to buy) is closely related to how they evaluate decisions of the cognitive, affective and conative aspects. This study was designed to be quantitative. The causal relationship between variables will be examined through questionnaires to be distributed to consumers of Indonesian motor vehicles using gasoline. The findings are expected to provide insight into whether ABC's theory of attitude, popular theory in consumer behavior literature is useful and applicable in explaining why consumers, especially Indonesian petrol consumers buy innovative green products (represented by Pertalite RON 90). From these findings, researchers and practitioners will be able to understand the importance of the cognitive, affective and conative components of the theory of consumer behavior and apply it accordingly. This study is important for the progress of CAB behavior theory through tripartite attitude structure model which consists of attitude stimulus through stimulus used to measure each component of cognitive, affective and conative behavior. The proposed model is intended to identify key concepts that shape attitudes that are useful for predicting outcomes to make accurate predictions using component attitude concepts: Cognitive, Influencing, and Conative (CAB), following tripartite behavioral models (Schiffman and Kanuk, 2004, Solomon, 2002; Breckler, 1984; Rosenberg and Hovland, 1960; Boulding, 1956).Â Â Â
Incorporating Social Networks in Business Relationships of Retail SMEs for Better Business Performance
Authors: Asmahani Ibrahim Nor , Mohd Roslin Rosmimah 
Published: July 2019

The presence of hypermarkets with modern retail format has impacted the performance of retail small medium-enterprises (SMEs) in Malaysia. The challenges of remaining competitive and the ability to sustain the business have pushed many retail SMEs to cease operations within a short period after commencement. Despite these challenges, retail SMEs can still attain competitive advantage through the strategies of strengthening and maintaining business relationships with their social networks. This study postulates that fostering social networks, specifically on the notion of homophily or similarities among social network members, is able to lure valuable resources needed by retail SMEs in achieving superior business performance. Unfortunately, only few studies have focused on social networks from within the Asian context and many tend to overlook the importance of social networks specifically in retailing. This study also suggests the relationship between value and status similarities of retail SMEs and their ability to coordinate efforts in horizontal relationships. Therefore, this study extends the discussion on the role of social networks towards better business performance of retail SMEs in Malaysia by conceptualizing a framework indicating the importance of value and status homophily on coordination of activities leading to business performance of retail SMEs. Â Â Â Â Â
Revamping Technopreneurship Education in Public Higher University
Authors: Haryanti Nor , Nor Md , Maziah Siti , Rahman Abdul , Hayati Yusrina , Muhammad Naziman Nik , Norbaya Siti , Rashid Mohd , Farleena Nadia , Aznan Mohd 
Published: July 2019

Envisioning new innovation strategy, it is wisely to fostering the technopreneurship area of education in public higher education. To be an entrpreneurial universities, it initiate to have a focus on undergraduate student starting from enrollment to graduation, which offered constant encouragement, training and support for their efforts to conceive and start up business enterprises with prototype they conceive. In this regards, this paper examines a factors required by the universities in bolstering the better prelude efforts towards the students in technopreneurship by indicating the competition, technology transfer and university policy.Â Sample of study was taken from undergraduate students at public university involving 146 students which already been taught the technopreneurship course at university. The descriptive statistics, multiple regression analysis and t-test were used to investigate the effect factors.Â In line with previous studies, the results reveal that competition, technology transfer and university policy statically significant in influencing the technopreneurship education at university. Surprisingly, the study shows that competition plays a crucial part in enhancing a better lookout in this innovation. The exposure from competition will drive them to be a creative person in nature and laterally develop an entrepreneurship skill in future. The result is useful for policy makers as well as university in considering the effect of these 3 factors in the eyes of undergraduates.Â Exploratory in nature, globalization and surge demand on technopreneurship thus evolve the trend in vibrant economic growth, industrialize and development context. Â Â Â Â
The Gap to Involve the Banking Cheques into Green Banking: Review and comparison about the contribution of Electronic Clearing Cheque System, Remote Cheque Deposit Service and Electronic Cheque Service in the Green Banking
Authors: Mowaffaq Ayed Madarmeh Rawan 
Published: July 2019

Green banking is going to lead the banking sector into 21st century, which is much needed in saving the world. The purpose of this paper is to address the gap in involving the banking cheques into green banking, by spotting the light on the environmental practices which are applied in Electronic Clearing Cheque System (ECCS), Remote Cheque Deposit Service (RCD) and Electronic Cheque Service (ECS) and the gaps in each. To achieve the purpose reviews and comparison in different aspects have been done which are related to ECCS, RCD and ECS. In addition, to guide the argument about the fact behind the death of paper cheques, especially after launching ECS which changed the direction of this argument. The findings could be used to help the banking in cheques field to go greener through focusing on investing in electronic cheque payment methods and improve the electronic cheque capabilities in the banking sector. Â Â Â
DietSkan: Food Volume Estimation for Dietary Intake Analysis Using 3D Mesh Scanning
Authors: Makhsous Sep , Gentsch Jack , Rollins Joshua , Feingold Zachary , Mamishev Alexander 
Published: July 2019

The prevalence of obesity, found in more than 38% of worldwide adults, is causing dietary measurements to become increasingly important. Most methods for tracking dietary intake utilize estimating the amount of food consumed to determine calories and nutritional content. Currently used methods of dietary tracking are either tedious or inaccurate. Our proposed method for dietary tracking is called DietSkan. It combines an off the shelf 3-Dimensional (3D) scanner, the Structure Sensor, with a smartphone application to produce a 3D reconstructed mesh scan of food items. The DietSkan process requires the desired food item to be scanned and exported for volume calculation. Then, using a 3D mesh manipulation tool, a 3D mesh, enclosing the consumed food, is constructed to obtain volume. The volume measurements achieved using the DietSkan algorithm average only 6% error and allow a user to track their dietary intake simply and effectively. The DietSkan system simplifies the estimation process and improves measurement accuracy when compared to current common practices.Â Â
Synthesis of Zeolite-A and Zeolite-Y Using Silica Gel Waste as Silica Source and Modifying with Fe
Authors: Khaosomboon Pornnipa , Khuanmar Kulyakorn , Weerayutsil Panomchai 
Published: July 2019

The purpose of this research was to synthesize zeolite-A (Ze-A) and zeolite-Y (Ze-Y) using silica sources from silica gel waste, and also improving adsorption capacity with Fe which was trapped in the synthesized zeolites:Â Ze-Fe-A and Ze-Fe-Y. All synthesized zeolites were tested with lead solution of 40 mg/L at pH 5. For BET specific surface area, the parent Ze-A and Ze-Y presented surface area of 27.02 and 211.42 m2/g, respectively, whereas Ze-Fe-A and Ze-Fe-Y presented a lower surface area of 10.90 and 28.22 m2/g, respectively. SEM and TEM image demonstrated the cubic and polygon shapes for Ze-A and Ze-Y, respectively, while their modification with Fe presented more round shape. Additionally, both modified zeolites with Fe presented higher adsorption efficiency than their parents. Although the modified zeolites gave lower surface area, the efficiency removal of lead showed higher capacity than zeolite without Fe. It could be concluded that the adsorption mechanism of modified zeolites did not only rely on physical adsorption, but also on chemical adsorption. Â Â Â Â Â
Collagen-Chitosan Hydrogel Formed in Situ Via Enzymatic Crosslinking
Authors: Sin Mun Lau , Mohd Nadzir Masrina , Roy Chowdhury Shiplu , Fauzi Mh Busra Mohd 
Published: July 2019

In this research, injectable collagen-chitosan conjugates (Col-Chit-Ph) hydrogel was formed by oxidative coupling of phenolic hydroxyl (Ph) groups in polymer chain via peroxidase-catalysed crosslinking reaction. The resulting Col-Chit-Ph solutions formed rapid hydrogel at physiological conditions by utilizing H2O2. The amount of chitosan in the compositions of Col-Chit-Ph hydrogels influenced the mechanical properties of the hydrogels. Here, conjugates having Col:Chit ratio of 1:1 showed greater resistance to compression compared to conjugates having Col:Chit ratio of 3:2. Meanwhile, the efficiency of cell attachment for conjugates with Col:Chit ratio of 4:1 is higher than conjugates with Col:Chit ratio of 1:1. Although the biological properties of hydrogel was good at Col:Chit ratio of 4:1, this hydrogel easily destroyed by external force. However, with higher amount of chitosan in the composite, hydrogels were more mechanically stable. This indicates the importance of the chitosan ratio to the novel Col-Chit-Ph injectable hydrogel composite.Â Â Â
Experimental study on concrete with rice husk ash under sulphuric ACID solutions
Authors: Ramya Swetha R. , G.Venkata Ramana Dr. , Anusha Hadassa K. 
Published: July 2019

This investigation shows the results on aggressive sulphuric acid on the concrete combined with rice husk ash (RH) when partially replaced for ordinary Portland cement. The husk ash, which mainly contains aluminum ion, silica, iron and calcium oxides, is an industrial waste and poses disposal problems. In this study, the effect of various concentrations (1%, 3%, 5%) of sulphuric acid (H2SO4) on Concrete replaced with various percentages (0%,5%,10%,15% and 20% by weight of cement) of RH is evaluated in-terms of residual compressive strength. The loss of compressive strengths of concrete immersed in various H2SO4 solutions for 7 days 28 days and 60 days indicates that at upto 10% replacement increase in strength was observed after which strengths were decreasing. This increase in strength is attributed to pozzolanic activity of RH.Â Â
Electricity generation from living plants using microbial fuel cells
Authors: Mohnish Borker , T.V Suchithra 
Published: July 2019

The need for a sustainable source of energy has catered engineers to discover and develop a biological battery known as Plant Microbial fuel cell. This biological battery operates with the help of electrochemically active bacteria in presence of CO2, sunlight and water. This technique is gaining importance in the field of bioelectricity as it produces clean in-situ energy from living plants without the need to harvest the plant species. Research on these cells have led to the development of various models. One such plant species Setaria faberi was tested for its compatibility in sediment plant microbial fuel cell. Power density of 4.6mW/m2 was obtained when it was tested with cocopeat as a hydroponic media. This paper highlights the suitability of S. faberi in producing sustainable bioelectricity with a hydroponic media.Â Â
Visual Feature Based Image Forgery Detection
Authors: Vaishnavi D. , Mahalakshmi D. , Siva Rao Alapati Venkata 
Published: July 2019

In present days, the images are building up in digital form and which may hold essential information. Such images can be voluntarily forged or manipulated using the image processing tools to abuse it. It is very complicated to notice the forgery by naked eyes. In particular, the copy move forgery is enormously demanding one to expose. Hence, this paper put forwards a method to determine the copy move forgery by extracting the visual feature called speed up robust features (SURF). In the direction to quantitatively analyze the performance, the metrics namely false positive rate and true positive rate are estimated and also comparative study is carried out by previous existing methods.Â Â
A Survey on Diagnosing Health by Using Iot-Wearables Patient Centric Care
Authors: S. Laxmi Sunaina Ms. , Ravula Arun Kumar Mr. , Roja Gurrapu 
Published: July 2019

The expanded utilization of versatile innovations and gadgets in the zone of smart pure technology has caused the awesome effect on the world. Over 60-70% are over polluted with diseases and Expert specialists are progressivelychecked done and exploiting the advantages these advancements bring and achieve, in this way creating an optimal noteworthy change and in especially medicinal services in and out clinical settings of them. Similarly, incalculable standard clients are being part of serve from the upsides of I-Health (Versatile Health) applications of some E-Health (human services upheld of group ICT) to enhance, help the order and help their Smart I-Health. Applications to be that have had a notableshelter for these regulars, so natural disorder. The Internet-o- things is increasingly permitting to meet and incorporateIOT equipped to interface with the web and give some approx. data on the disorder of E-Health of patients to be motivated and give statisticsendlessly to specialists who help the disorder. Unmistakably endless infections, for example, diabetes,B-p, kidney, heart, and increased weight among others, are part of exceptional on the content planet monetary to and social level mandatory issue. The point to be of this Paperseems to build up a content design completely based on a meta-physics equipped for keeping checking the E-Health and exercise the max routine suggestions and also to patients with everlasting infections.Â Â
Detection of Masses in Mammograms using Bayesian Method and Machine learning
Authors: Chatterjee Priyadarshini , Mamatha Ch. , Jagadeeswari T. , Chandra Shekhar Katha 
Published: July 2019

Every 100th cases in cancer we come across are of breasts cancer cases. It is becoming very common in woman of all ages. Correct detection of these lesions in breast is very important. With less of human intervention, the goal is to do the correct diagnosis. Not all the cases of breast masses are futile. If the cases are not dealt properly, they might create panic amongst people. Human detection without machine intervention is not hundred percent accurate. If machines can be deeply trained, they can do the same work of detection with much more accuracy. Bayesian method has a vast area of application in the field of medical image processing as well as in machine learning. This paper intends to use Bayesian probabilistic in image segmentation as well as in machine learning. Machine learning in image processing means application in pattern recognition. There are various machine learning algorithms that can classify an image at their best. In the proposed system, we will be firstly segment the image using Bayesian method. On the segmented parts of the image, we will be applying machine learning algorithm to diagnose the mass or the growth.Â Â
Face Recognition Approaches: A Survey
Authors: A.	Mallikarjuna Reddy A. , Venkata Krishna V. , Sumalatha L. 
Published: July 2019

Face Recognition (FR) is a significant area in computer vision plus pattern recognition. The face is the easiest mode to discriminate the specific individuality of every other. FR is a particular identification scheme that usages particular features of an individual to recognize the individual's identity. The challenges in FR are aged, facial terms, variations in the imaging surroundings, illumination plus posture of the face.Â Specially, in this study firstly we mark an outline of FR that includes definition, types and problems. Secondly, we provided a complete related work of FR.Â The objective of this study is to provide a comprehensive outline on the work that has been carried out over the previous spans in the progressing area of FR. This study offers an extensive view of theories, methodologies, up-to-date techniques for FR.Â
Change detection analysis of reservoirs and lakes in Multi-Temporal Landsat-7 (ETM+) data over the Indian sub-continent during 2008-2018
Authors: Chandrababu Naik B. , B. Anuradha Prof. , . . 
Published: July 2019

Remote sensing change detection techniques are extensively used in numerous applications such as land cover monitoring, disaster monitoring, and urban sprawl. The main motive of this paper study the change detection analysis of Land Use / Land Cover (LULC) in different lakes and Reservoirs, such as Chilika Lake, Pulicat Lake, Vembanad Lake, Penna Reservoir, and Nagarjuna Sagar Reservoir located in the Indian subcontinent region.Â The analyses and changes are evaluated during period of 2008 - 2018 in multi-temporal Landsat-7 (ETM+) data. The major disadvantage in Landsat-7 for data acquired from satellite sensor, is that it includes strips (gaps) in an image. On May 31, 2003 the Scan-Line-Corrector (SLC) failed completely, due to 22% of pixel information lost in the Landsat-7 data. The focal analysis method is applied to the required image for removing all strips (gaps). Change detection using Image Differencing technique, maximum changed area and unchanged area detect the different Lakes and Reservoirs in the period of 2008-2018. The unsupervised classification is used to compute the accuracy assessment analysis. Excellent results are obtained by using accuracy assessment for different Lakes and Reservoirs from 2008 to 2018, with the overall accuracy of 91.59%, and overall kappa statistics of 0.9032. The percentage of a decreased area is more in 2018 as compared to 2008 and it concludes that the percentage of decreased area is more as compared to the percentage of increased area for acquired Landsat-7 data.Â Â
Co- Disease Prediction using Multileyer Perceptron and Classification from Diabetic Medical Data Sets
Authors: Ahmed Khan Shahebaz , Seemakurthi Dr. , Akhil Jabbar Dr. 
Published: July 2019

Artificial Neural Networks (ANN) techniques have the important concepts those can be used in the present scenario of the medical world. It has made the medical field to formulate easy steps to detect and predict the diseases like diabetes, thrombocytopenia, heart diseases, brain tumor, cancer etc. The classification methods available in the data mining theories and ANN gradually help to predict the data for the future analysis by building the classification models. In this paper, the results and the research work carried out on diabetic medical data using the artificial neural network algorithms like multilevel perception and its application over such data so as to predict the Â Â Â Â Â diseases are discussed. The rules developed will be helpful to detect the co-disease in the diabetic patients and we have ranked them as per the final classifier for prediction. The proposed classification algorithm has accurately predicted the data with and without feature subset selection.Â Â
Iot Based Smart Jar For Connected Devices Using Machinelearning
Authors: R Neelaveni. , Sridevi B. 
Published: July 2019

The smart jar enables us to keep track of the medicines stocks with the help of an android app easily accessible anywhere with a simple internet connection. The jar contains an ultra-sonic sound waves emitter and sensor which uses the reflected ultra-sonic waves to find out what level the jar is filled to and how much empty space remains in jar yet to be filled. This sensor is also connected to the internet and interfaced with the application so that as soon as the level of content in the jar changes the data is updated to us in the application without any delay. This helps us in monitoring the stocks and prepare for restocking from anywhere,additionally it also provides important data such as the expiry date and the manufactured data of the content in the jar. .
Defending Iot from Ddos Using Lightweight Authentication
Authors: A. Vani G. , Metilda Florence M. 
Published: July 2019

The emergence of Internet of things (IoT) is due to its ability to dutifully transfer the data through a network. Now the concern is that security is not considered as main priority while developing the product. IoT is prone to vulnerabilities where Botnet and DDoS kind of attacks are common and a major issue that has to be considered these days. Since IoT is in no way resistive to attacks, this paper is all about proposing a solution for the Distributed Denial of Services attack that happens on IoT platform. Light weight authentication is necessary for any IoT devices because to reduce the power consumption and increase the processing speed of the device [16]. The experimental setup is built on OS named Contiki with cooja simulator that suits to all the devices that are in the IoT environment.
Automated Elephant Entry Prevention for Human and Crop Protection
Authors: K Mahalakshmi , Ramaiah G N Kodanda , Kishore Nandha , Ramesh K. 
Published: July 2019

Farming in areas with elephants has been the norm in many parts of Asia for thousands of years. In particular, farmers have settled closer to areas where elephants are present and started growing crops. Elephant raids occur in the night time where people do not notice the presence of an elephant until it starts an oﬀensive behavior. Such raids damage the crops, harvest storages and homes in addition to causing deaths of humans. A multitude of traditional methods have been developed through the ages to reduce and prevent crop raiding by elephants like shouting, drum-beating, noise-making, use of fire crackers, electric fencing, lights and torches. Such activities may also indicate to elephants that their presence is detected, and that they have to contend with aggressive humans. In the proposed system, automated detection of the presence of elephant is done by analyzing the infrasonic sounds produced by elephants and they are prevented from entering into farms by propagating the offensive sounds in low frequencies without human intervention.