bluuebunny/crossref_metadata_2025 huggingface dataset:
CAPSULE NETWORK BASED BIOMETRIC RECOGNITION SYSTEM
Authors: Jacob Dr. I. Jeena
Published: January 2020

The biometric recognition plays a significant and a unique part in the applications that are based on the personal identification. This is because of the stability, irreplaceability and the uniqueness that is found in the biometric traits of the humans. Currently the deep learning techniques that are capable of strongly generalizing and automatically learning, with the enhanced accuracy is utilized for the biometric recognition to develop an efficient biometric system. But the poor noise removal abilities and the accuracy degradation caused due to the very small disturbances has made the conventional means of the deep learning that utilizes the convolutional neural network incompatible for the biometric recognition. So the capsule neural network replaces the CNN due to its high accuracy in the recognition and the classification, due to its learning capacities and the ability to be trained with the limited number of samples compared to the CNN (convolutional neural network). The frame work put forward in the paper utilizes the capsule network with the fuzzified image enhancement for the retina based biometric recognition as it is a highly secure and reliable basis of person identification as it is layered behind the eye and cannot be counterfeited. The method was tested with the dataset of face 95 database and the CASIA-Iris-Thousand, and was found to be 99% accurate with the error rate convergence of 0.3% to .5%
AN IMPROVED SAFETY ALGORITHM FOR ARTIFICIAL INTELLIGENCE ENABLED PROCESSORS IN SELF DRIVING CARS
Authors: Manoharan Dr. Samuel
Published: January 2020

The innovation in the automobiles have undergone a most noteworthy leap from the operation of the vehicles that was human centered to vehicles with the self –driving ability. The self-driving cars being a major level of attraction today, needs to concentrate also on the privacy, energy, traffic flow, environmental issues and the road safety. The perfect road safety is a goal that can be never achieved, due to the growing number of vehicles and the human population all over the world. Measures to improve the probability of the safety is put forward in the paper for the cars with the capability of the self-driving built with the artificial intelligence enabled processors. The performance evaluation of the proposed algorithm for using real time data ensures the competence of the safety algorithm in the self-driving cars.
CLASSIFICATION OF BRAIN CANCER TYPE USING MACHINE LEARNING
Authors: kumar Dr. T. Vijaya
Published: January 2020

The Brain cancer is the most dangerous and found commonly in multitude of people in the younger stage and the adolescent stages. The early stage identification about the tumors in the brain and the appropriate type of the cancer would help the physicians in deciding the accurate treatments and further analyzing based on the responses from the patients to the treatment done. The paper puts forth the capsule neural network, the machine learning system that can be trained using a less number of dataset unlike convolutional neural network and is sturdy against the rotation or the affine conversions, to identify the type of cancerous tumors in brain at its early stage. The evaluation of the training and the testing accuracy of the proposed method for classification of the brain cancer type using the capsule neural network proves that Caps Net based classification have outperformed the convolutional networks.
IMAGE DETECTION, CLASSIFICATION AND RECOGNITION FOR LEAK DETECTION IN AUTOMOBILES
Authors: Manoharan Samuel
Published: January 2020

The Demands in quality of the automobile production grows at a rapid pace with the pressure to reduce costs of the automobiles further. So it becomes necessary to subject the critical components for the leakage detection to enhance the overall quality and the customer satisfaction. Apart from the conventional methods and the recently evolved methods in leakage detection for the automobiles, the paper tries to put forth a novel method for the detection of the leakage in the automobiles using the image processing techniques. The proposed method concentrates on the image detection, classification and recognition for the leak detection of the air conditioning in the automobiles. The proposed method of image detection is evaluated using the MATLAB to evince accuracy in the leakage detection, classification and recognition
A NOVEL METHOD FOR HDR VIDEO ENCODING, COMPRESSION AND QUALITY EVALUATION
Authors: T Senthil Kumar
Published: January 2020

The high dynamic range imaging/video has become more prominent in the consumer electronic realm as the it allows the human to view a picture e or a video at a minimum eye adaption. The high dynamic ranging is capable enough to capture a full range light from the scene unlike the traditional methods that captures only 8-f-stops. Though the high dynamic range video are produced using more standard methodologies, it still needs continuous developments in the distribution phase. so the paper discourses the shortcomings in the present method of high dynamic range video coding and puts forth the novel method of two layered backward compatible video encoding methods accompanied by the Chroma subsampling and the luminance masking to improve the color accuracy and remove the nonvisible portion respectively of the video content. The performance measurement of the novel method HDR video encoding compression (N-HVEC) in term of mean opinion source, bit rate savings and he HDR-VQM metric is compared with the HDR10 and HDR-HLG
BIOMEDICAL IMAGE ANALYSIS USING SEMANTIC SEGMENTATION
Authors: V Bindhu
Published: January 2020

Semantic Segmentation is a very active area of research in the examining the medical images. The failure in the conventional segmentation methods to preserve the full resolution throughout the network led to the research’s that developed methods to protect the resolution of the images. The proposed method involves the semantic segmentation model for the biomedical images by utilizing the encoder/decoder structure to down sample the spatial resolution of the input data and develop a lower resolution feature mapping that are very effective at distinguishing between the classes and then perform the up samples to have a full-resolution segmentation map of the biomedical images reducing the diagnostic time. The frame work put forth utilizes a pixel to pixel fully trained cascaded convolutional neural network for the task of image segmentation. The evaluation biomedical image analysis using the semantic segmentation shows the performance improvement achieved by the minimization of the time required in testing and the augmentation in the analysis performed by the radiologist.
VIRTUAL RESTORATION OF DAMAGED ARCHEOLOGICAL ARTIFACTS OBTAINED FROM EXPEDITIONS USING 3D VISUALIZATION
Authors: Shakya Subarna
Published: January 2020

The paper puts forward the methodologies for the virtual restoration of the archeological artifacts that were obtained from the various missions. The proposed methodology combines the both the augmented and the virtual reality (C-ARVR) technologies enabling a virtual restoration of the artifacts that were damaged by visualizing the virtual three dimensional model with the actual one. The methodology provides an enhanced perception of the damaged substances. This enables the restoration of the historical artifacts that are more valuable.
RGBD ANALYSIS FOR FINDING THE DIFFERENT STAGES OF MATURITY OF FRUITS IN FARMING
Authors: Chandy Abraham
Published: January 2020

The agriculture being the major source of revenue for the people in the rural areas in a country like India many measures have been taken to improve the revenue of the farmers. The assessing the ripeness of the fruits is also one of the primary responsibilities of the farmer to fix the proper time to glean the fruits and taking them to the market. Computer vision and the image processing together remains as a key methodology in reducing the human labor and classifying the different stages of maturity is has become very prominent in examining the stages of the fruit growth. As the color seems to be the important feature to be observed in determining the different stages of the fruits maturity and color identification of the tropic fruits is difficult due to the various illuminations and the partial clogging up of the fruits. In order to identify maturity stage of the fruits the paper proposes a RGBD analysis to examine the stages of the fruits and identify the various stages of maturity.
ENHANCED SOFT COMPUTING APPROACHES FOR INTRUSION
DETECTION SCHEMES IN SOCIAL MEDIA NETWORKS
Authors: A. Dr.  Sathesh
Published: January 2020

The soft computing methods play a vital role in identifying the malicious activities in the social network. The low cost solutions and the robustness provided by the soft computing in the identifying the unwanted activities make it a predominant area of research. The paper combines the soft computing techniques and frames an enhanced soft computing approach to detect the intrusion that cause security issues in the social network. The proffered method of the paper employs the enhanced soft computing technique that combines the fuzzy logic, decision tree, K means -EM and the machine learning in preprocessing, feature reduction, clustering and classification respectively to develop a security approach that is more effective than the traditional computations in identifying the misuse in the social networks. The intrusion detection system developed using the soft computing approach is tested using the KDD-NSL and the DARPA dataset to note down the security percentage, time utilization, cost and compared with the other traditional methods.
REVIEW OF MACHINE LEARNING TECHNIQUES FOR VOLUMINOUS
INFORMATION MANAGEMENT
Authors: pandian Dr. Pasumpon
Published: January 2020

The recent technological growth at a rapid pace has paved way for the big data that denotes to the exponential growth of the information’s. The big data analytics are the trending concepts that have emerged as the promising technology that offers more enhanced perceptions from the huge set of the data that have been produced from the diverse areas. The review in the paper proceeds with the methods of the big-data-analytics and the machine-learning in handling, the huge set of data flow. The overview of the utilization of the machine-learning algorithms in the analytics of high voluminous data would provide with the deeper and the richer analysis of the huge set of information gathered to extract the valuable and turn it into actionable information’s. The paper is to review the part of machine-learning algorithms in the analytics of high voluminous data
EFFICIENT INFORMATION MAINTENANCE USING
COMPUTATIONAL INTELLIGENCE IN THE MULTI-CLOUD
ARCHITECTURE
Authors: S. Raj Dr. Jennifer
Published: January 2020

The multi cloud architecture improvises the constancy of the system associated with the cloud computing as they offer benefits such as the reducing the severity of the vendor lock in, which is the major impediment to the cloud service adoption. However the information maintenance in the multi cloud architecture is a very tedious and challenging as it inherits multitudes of complexity due to various services rendered, interfaces and technologies used. As storage is the fundamental usage of the cloud computing, the failures in the information maintenance (storage, securing, retrieval) in the traditional cloud computing has led to the development of different techniques that are highly reliable and flexible. The paper also scope in developing one such adaptable and highly secure information maintenance using the Cryptography integrated Computational intelligence (CICI) for application deployment in the multi cloud architecture. The proposed method is validated using the network simulator –Two, to verify the performance augmentation of the multi-cloud architecture in its information maintenance.
PROCESS CONTROL LADDER LOGIC TROUBLE SHOOTING TECHNIQUES FUNDAMENTALS
Authors: Kamel Khaled , Kamel Eman
Published: January 2020

Programmable Logic Controller (PLC) based process control automation projects are a multiphase task requiring months of planning, specification documentation, design, implementation, debugging, and final commissioning. Debugging real time process control implementation is a three-phase process; logic simulation debugging, field static checkout, and in plant final testing and tuning. This paper briefly discusses the fundamental techniques used in the first two stages of implemented ladder logic debugging [5, 6]. A wastewater treatment facility for the processing of high flow storm rainwater using the Allen Bradley (AB) SLC 500 PLC is used to illustrate the concepts discussed. The rainwater is channeled to two large wet wells, the east wet well and the west wet well. The water is pumped to the river from the two connected wells at constant rate using a predefined process sequence control. Pumping station with multi motors deriving constant speed immersed pumps are used to regulate the discharge water flow and the level in the two wells. Only two pumps are assumed here; one in the east wet well and the other in the west wet well. The motors provide an input discrete signal indicating if the motor is running or not. The motors can also start by activating the Push Button located on the local panel if the AUTO/MAN switch is in Manual.
Three float switches are used to provide an accurate indication of the water level at three prespecified critical east / west wet well locations. The Low-Level Float switch triggers the stopping of the running pump. The High-level Float switch triggers the starting of the scheduled pump. If the scheduled pump fails to start within more than 5 seconds, a backup pump is selected and started (not shown in this paper). An alarm must be issued in order to alert the operator of any motor failure. The Very High-level float switch triggers the starting of both pumps. If either of the two pumps fails to start the corresponding alarm is activated by the control. Pumps are scheduled to run according to an operator pre-defined calendar. This input is expected in hours of accumulated total pump run time. The two pumps must alternate while the water level is below the Very High Level and above the Low Level. Cascaded timers are not altered during the time when the two pumps are running. This paper shows the static and simulation debugging an abbreviated version of the typical original system used in
wastewater facilities.
DESIGN OF LIGHTWEIGHT CRYPTOGRAPHIC MODEL FOR END-TO-END ENCRYPTION IN IOT DOMAIN
Authors: Chatterjee Runa , Chakraborty Rajdeep , J.K. Mondal
Published: January 2020

Digitalization rapidly connected the entire world. Everyday an enormous volumes of digital data produced by billions of intelligent devices which requires safe transmission over internet. If we look into embedded environment, handling massive volume of data is impractical for low power and low memory devices which leads to lightweight concept. The proposed lightweight model includes many symmetric key sequentially. The model follows fiestel network structure where 64 bits input block divided by two 32 bits blocks. Then every half undergoes through various symmetric key algorithms like TE (Triangular Encryption), RPPT (Recursive Pared Parity Technique), RPSPNC( Recursive Positional Substitution on Prime-Nonprime of Cluster), TB(Transformation of Bits) and bits rotation process. A triangular bit sequence generated by TE and from there various encryption as well as decryption techniques[1] have generated by reading bits in a certain order. RPPT encrypts bits by executing logical OR of successive bits. Bit swapping technique is used by TB for encryption and decryption. RPSPNC interchanges bits on the basis of prime-non prime bit position and considers any in between bit sequence as a cipher text. Lastly two resultant sub-blocks are merged to produce cipher text of 64 bits. To check the acceptance of the proposed model, comparisons take place with popular symmetric key algorithm AES and one embedded algorithm RPPT+TB. Software parameters like entropy, n-gram(4-gram), non-homogeneity, histogram are analysed. Hardware analysis of the model ensures us that it falls into lightweight domain by comparing the GE (Gate equivalent) with the ISO /IEC standard value ranges between 1000-2000GE.
COMPUTATIONAL OFFLOADING FOR PERFORMANCE IMPROVEMENT AND ENERGY SAVING IN MOBILE DEVICES
Authors: Zong Chen Dr.Joy Iong
Published: January 2020

The mobiles devices such as the smart phones and the wearables take a vital role in our daily life scenario as they are been used as alternative for many devices apart from communication. The mobile devices that are controlled in terms of dimensions and weightiness to make them easy and flexible for handling in turn limits the computational energy, storage and the lifetime of the battery. So this entails the need for the external device to support the mobile devices by providing a computational power, storage and energy, this is known as the computational offloading. So the paper puts forth the mobile cloud services as an external platform to offload the resource intensive computation tasks of the mobile devices to enhance the performance of the mobile devices in terms of storage, energy consumption and battery life. The performance evaluation of the mobile cloud based offloading in the mobile devices proves the efficiency of the proffered method in terms of storage, energy and battery lifetime.
ENERGY EFFICIENT SENSED DATA CONVEYANCE FOR SENSOR NETWORK UTILIZING HYBRID ALGORITHMS
Authors: S. Raj Jennifer
Published: January 2020

The wireless sensor networks incorporated with multitude of distributed autonomous sensors with the potency of monitoring any changes that is physical or environmental, faces few challenges due to its distributed nature and the limited battery availability. The challenges incurred result with delay in the transmission, dynamic topology changes, and the link failures due to the reduced life span of the sensors. The researchers claim that the reduce in the life span of the sensor are the result of energy usage in the transmission leading to an enormous battery power consumption for a single conveyance. So the paper proposes an energy efficient conveyance for the information that are sensed utilizing the hybrid algorithms that include the K-means for the purpose of clustering, Genetic algorithm for the purpose of cluster head selection and the Ant colony optimization for determining the shortest path between the member to the cluster head and the cluster head to the base station. The performance evaluation of the proposed process using the network simulator-2 serves as an evidence for the improved capabilities of the same in terms of the throughput, packet delivery ratio (PDR), energy efficiency and the network life time.
DESIGN AND DEVELOPMENT AI-ENABLED EDGE COMPUTING FOR INTELLIGENT-IOT APPLICATIONS
Authors: D. Dr.  Sivaganesan
Published: January 2020

The advancements in the technologies and the increase in the digital miniaturization day by day are causing devices to become smarter and smarter and the emergence of the internet of things and the cloud has made things even better with insightful suggestions for organization as well as the way the people work and lead their life. The limitations in the cloud paradigm in terms of processing complexity, the latency in the service provisioning and improper resource scheduling, remains as a reason leading to shifting of applications from cloud to edge. More over the emergence of the artificial intelligence in the edge computing has turned out to be center of attention as it improves the speed and the range of the IOT applications. The paper also puts forth the design of the AI-enabled Edge computing for developing a Smart Farming.
ENHANCED NETWORK PERFORMANCE AND MOBILITY MANAGEMENT OF IOT MULTI NETWORKS
Authors: M Dr. DuraiPandian
Published: January 2020

The tremendous progress in the internet of things incorporating multitudes of wireless interfaces have ended up with dense deployment of multi-networks that are associated with the internet of things and supported by wireless communications that are heterogeneous. Effective management of the multi-networks with a proper flow scheduling and a mobility management in order to provide a seamless conveyance are a tedious and a challenging task. The incompatibility of the software defined networks to manage with the densely deployed multi networks has increased the necessity for developing a more suitable flow scheduler and mobility manager for the multi networks of internet of things. So this paper presents the Improved- flow scheduling and the mobility management protocol (IFSMM) to guarantee the network performance that provides a seamless accessing of internet of things. The IFSMM is simulated using the NS-2 to confirm the performance achievement through the proper management of the transmission on the grounds of throughput, latency and the jitter.
COMPUTER VISION FOR HUMAN-MACHINE INTERACTION-REVIEW
Authors: V. Dr. Suma
Published: January 2020

The paper is a review on the computer vision that is helpful in the interaction between the human and the machines. The computer vision that is termed as the subfield of the artificial intelligence and the machine learning is capable of training the computer to visualize, interpret and respond back to the visual world in a similar way as the human vision does. Nowadays the computer vision has found its application in broader areas such as the heath care, safety security, surveillance etc. due to the progress, developments and latest innovations in the artificial intelligence, deep learning and neural networks. The paper presents the enhanced capabilities of the computer vision experienced in various applications related to the interactions between the human and machines involving the artificial intelligence, deep learning and the neural networks.
Challenges and enablers of augmented reality technology for in situ walkthrough applications
Authors: Mutis Ivan , Ambekar Abhijeet
Published: January 2020

The successful implementation of situational-awareness enhancement using next-generation augmented reality in construction project walkthroughs has significant associated challenges. In this research, an augmented reality (AR) approach was developed to evaluate and showcase the trade-offs between capacity, latency, and reliability for the technology. The approach, named “i-Tracker”, overlays visualizations of designs by creating virtual content to be superimposed into physical contexts. i-Tracker uses the latest generation of mobile computing technology to effectively locate design information from existing parametric engineering designs (architectural, structural, and mechanical objects) and create a fully animated scene in situ. The i-Tracker technology uses a combination of depth-sensing cameras and inertial measurement unit (IMU) sensors. The evaluation of this technology demonstrates the requirements and limitations applicable to the implementation of this technology in job sites.
In the example use case, the device’s relative position and orientation with respect to the user are estimated. Performance features such as motion tracking, localization, error dispersion with respect to luminance, system processing speed, and ambiguity in the feature tracking are evaluated. i-Tracker contributes to the body of literature and current work on the use of positioning and tracking systems in real construction sites within the AR context. This project advances understanding of rapid implementations and the use of AR visualizations on job sites, utilizing significant progress in mobile and ubiquitous computing with faster central processing units (CPUs) and graphical processing units (GPUs).
FOOD INFLATION AND ITS IMPACT ON THE URBAN POOR IN INDIA
Authors: M Prabhash Ms. Ardhana
Published: January 2020

When food prices rise in the developing nations, it will grumble the whole stability and make a difference between going hungry and getting enough to eat, it’s an horrible situation for a country like India. In most part of India , prices of vegetables and many fruits were driven high because of crop failure caused by excessive and unseasonal rain fall and severe droughts. The cascading effect of escalating food prices often heavily hit to urban poor.

KEYWORDS: Escalating price, Double digit food inflation, Extra monetary cost, Poverty deficit Fractal classes
PERAN MEDIASI CITRA MEREK DALAM MEMBENTUK HUBUNGAN ANTARA KUALITAS PRODUK TERHADAP LOYALITAS PELANGGAN (STUDI PENGGUNA PRODUK TELKOMSEL DI KOTA BOGOR)
Authors: Dachi Anugerah
Published: January 2020

Tujuan penelitian ini adalah untuk melakukan analisis tentang pengaruh antara kualitas produk dan citra merek terhadap loyalitas pelanggan pengguna produk Telkomsel di kota Bogor.. Disamping itu juga untuk mengetahui peran mediasi citra merek antara kualitas produk terhadap loyalitas pelanggan pengguna produk Telkomsel di Kota Bogor   Metode Penelitian dalam penelitian ini adalah  metode kuantitatif. Teknik analisis data  menggunakan Structural Equation Modeling dengan diolah menggunakan Software Amos versi 23.  Populasi dalam penelitian ini adalah pengguna produk Telkomsel yang berada di Kota Bogor. Pengambilan sampel dilakukan dengan metode non probability sampling yaitu dengan teknik purposive sampling.  Penulis berhasil mengumpulkan kuisioner sebanyak 208 responden, sehingga sampel dalam penelitian sebanyak 208 responden. Hasil penelitian menunjukkan bahwa kualitas dari suatu produk yang diproduksi oleh Telkomsel dan citra merek memiliki keterkaitan ataupun pengaruh terhadap loyalitas pelanggan. Ditemukan juga bahwa citra merek mampu memediasi pengaruh antara kualitas produk terhadap loyalitas pelanggan. Penulis memberikan saran untuk terus meningkakan kualitas produk dan citra merek dari produk Telkomsel. Hal ini dapat dilakukan dengan terus memperhatikan keluhan pelanggan dan mengatasi dengan baik.
ANALISIS PENGARUH MOTIVASI KERJA, GAYA KEPEMIMPINAN, DISIPLIN KERJA TERHADAP KINERJA KERJA KARYAWAN PT. SIANTAR TOP WARU-SIDOARJO
Authors: Kasino Kasino , Indrayanti Nurrul Fitri
Published: January 2020

Penelitian ini bertujuan untuk menguji dan menganalisis pengaruh motivasi kerja, gayakepemimpinan, dan disiplin kerja terhadap kinerja karyawan PT Siantar Top Waru Sidoarjo. Pengumpulan data dilakukan melalui penyebarankuesioner dan dilaksanakan pada 104 karyawan PT Siantar Top Waru Sidoarjo. Analisis data pada penelitian ini menggunakan bantuan SPSS versi 16.Teknik sampling yang dipakai adalah metode simple random sampling dan teknik pengujian data yangdigunakan dalam penelitian ini meliputi uji validitas dengan analisis faktor, ujireliabilitas dengan Alpha Cronbach. Uji asumsi klasik dan analisis regresi linerberganda, untuk menguji dan membuktikan hipotesis penelitian.Hasil analisis menunjukkan bahwa motivasi kerja berpengaruh positif dan signifikan terhadap kinerja karyawan. Gaya kepemimpinan berpengaruh positif dan signifikan terhadap kinerja karyawan. Disiplin kerja berpengaruh positif dan signifikan terhadap kinerja karyawan dan Disiplin kerja memiliki pengaruh yang paling dominan  terhadap kinerja kerja  karyawan.Kata Kunci: Motivasi kerja, Gaya kepemimpinan, Disiplin Kerja dan Kinerja Karyawan.
STRUKTURA OBSŁUGOWA OBIEKTU TECHNICZNEGO
Authors: Duer Stanisław , Sokołowski Stanisław , Palkova Zuzanna , Lukac Ondrej
Published: January 2020

W pracy zaprezentowano nowe podejście do problemy eksploatacji obiektów technicznych. W tym celu przedstawiono schemat automatycznego układu regulacji zasobu użytkowania obiektów technicznych. W zaprezentowanym układzie wykorzystywane są nowoczesne inteligentne systemy: diagnostyczny i obsługowy. W skład proponowanego systemu wchodzi sztuczna sieć neuronową SSN i obsługowy system ekspertowy. Artykuł przedstawia problematykę przetwarzania informacji diagnostycznej do postaci zbioru informacji obsługowej. Zaprezentowano schemat inteligentnego systemu obsługiwania. Opisano możliwość oceny jakości odnawiania obiektu w systemie obsługiwania złożonego obiektu technicznego.
Plan de control y aseguramiento de la calidad para la recuperación de un rodete de turbina Francis de una central hidroeléctrica
Authors: Toapanta Marcelo
Published: January 2020

El propósito del presente trabajo es establecer el procedimiento para el plan de inspección y ejecución de pruebas, para el control y el aseguramiento de la calidad, durante el proceso de recuperación de los rodetes de las turbinas Francis, que son elementos empleados como parte fundamental en las turbinas hidráulicas para la generación de energía eléctrica. El procedimiento de recuperación se basa en ejecutar el control dimensional sobre la geometría del rodete, la caracterización del material, el análisis metalográfico y los ensayos no destructivos END sobre los cordones de soldadura en base a las directrices de la especificación para máquinas hidráulicas CCH 70-4; para determinar las zonas de desgaste, afectadas por los fenómenos de cavitación, corrosión y erosión; así como las áreas dañadas por los mecanismos de falla como consecuencia de esfuerzos inherentes a factores de diseño, cargas y funcionamiento de las máquinas. Además, con esto se crea una referencia en cuanto a las capacidades técnicas y tecnológicas en el país, que se proyecta a nivel de la región para brindar servicios y soluciones de ingeniería especializados, logrando romper la dependencia de las grandes empresas extranjeras, creando un valor agregado con la transferencia del conocimiento; obteniendo de esta manera un ahorro sustancial en costos y tiempo en el proceso de recuperación de un rodete.
Johannes Buridan und die Professionalisierung der Artisten
Authors: Miethke Jürgen
Published: January 2020

The paper does not consider the contributions of the magister artium Buridanus to the Artes liberales and the Aristotelianism of the Later Middle Ages, that is the topic of some other participants of our colloquium in Katowice. It is aiming at giving a short overview over the very few data of his biography which are known to us framing them by the general social trends of his time. First of all (I.) a sketch of his biography is given which sheds some light on his social background, his milieu and career at Paris university. Secondly (II.) there follows an outline of his main income, namely church benefices, which are given to the university master by papal allowance and are registered mainly in the Vatican Archives. Thirdly (III.) the more than three decades of teaching at the Arts Faculty of Paris are considered within the framework of general social professionalization of teaching at the universities in the Later Middle Ages.
Principal Component Analysis-based Strategy to Identify the Presence of Tissue-Cultured and Wild-Type Dendrobium officinale and Dendrobium moniliforme in a Commercial Preparation
Authors: Nai-dong Chen , Yue Chen , Li Zhang , Lin-Lin Bao , Yan-Jun Chen , Fang-Li Gu , Fang Wang , Xue-Ping Jiang
Published: January 2020

A principal component analysis-based two-dimensional correlation infrared spectroscopy technique combined with tri-step infrared macro-fingerprinting was explored to discriminate 1–4 years of tissue-cultured from wild-type Dendrobium officinale and Dendrobium moniliforme. The results showed that although speciation and origins of the Dendrobium samples could be differentiated by Fourier-transform infrared spectroscopy and second derivative infrared spectroscopy spectra, it is quite difficult to identify the age of Dendrobiums. In the further principal component analysis-based two-dimensional correlation infrared analysis, the range 1390–1230 cm-1 and 1180–1020 cm-1, in which the auto-peaks attributed a major variance ratio, were chosen to discriminate different cultivated years of Dendrobiums. Different ages of D. officinale and D. moniliforme showed their characteristic auto-peaks and cross-peaks with different peak positions and intensity in these two range. Our research indicated that principal component analysis-based strategy combined with tri-step infrared macro-fingerprint is suitable to rapidly discriminate the different ages of Dendrobiums with species and origins.
Perilaku Pekerja Seks Komersial Terhadap Pencegahan Penyakit Menular Seksual Di Lokalisasi Kalinyamat Bandungan
Authors: Mulati Triwik Sri
Published: January 2020

Abstract: Behavior, Commercial sex workers, Sexually transmitted diseases. This study aims to reveal the phenomenon of Conduct Against Commercial Sex Workers Sexually Transmitted Disease Prevention at Localization Kalinyamat, Bandungan. This study used a qualitative design with sample collection technique is purposive sampling with maximum sampling type of sampling variation. The collection of data by using a technique Focus Group Discussion (FGD) and In-depth Interviews (WM). In this study, researchers used informants DKT 6 and 8 informants WM. Test the validity of the data was done by using triangulation. The results showed that the behavior of prostitutes on the prevention of STDs seen from most of the knowledge already know about the definition, causes, types, signs and symptoms of STD prevention, of attitudes that are divided into several categories there who agree and disagree, on the activities on the prevention largely meet health standards.
Penggunaan Tanaman Obat Tradisional Untuk Meningkatkan Nafsu Makan Pada Balita
Authors: Kurniarum Ari , Novitasari Rizky Ayu
Published: January 2020

Abstract: Use of Traditional Medicinal Plants, Appetite, Toddler. Causes of malnutrition in children under five is no appetite, then the parents use alternative to traditional medicinal plants. The purpose of this study was fatherly to know the use of traditional medicinal plants to improve appetite in infants. Quantitative descriptive research study subjects were women who use traditional medicinal plants to improve appetite in infants by 36 samples. The statistical test used this research is descriptive test. The results showed that the majority of children experiencing increasing appetite after the use of traditional medicinal plants.
Uji Efektivitas Sediaan Hand Sanitizer Kombinasi Ekstrak Daun Kemangi (Ocimum Sanctum L) Dan Ekstrak Kulit Jeruk Purut (Citrus Hystrix)
Authors: Dewi Indri Kusuma , Yunianto Bambang
Published: January 2020

Absctract : Antiseptic Activity, Kemangi Leaf- Cytrus Hystrix Leather, Gel Antiseptic (Hand Sanitizer). It is known kemangi leaf had contained saponins, flavonoids and tannins that benefit as antibacterial, while in research by Susanti, 2010 had proven that leather of Citrus hystrix contained essential oil as antibacterial and used as antiseptic in pharmaceutical case. So, to get the optimal formula as hand sanitizer or antiseptic gels used combination two extracts kemangi leaf and Citrus hystrix leather. This research is an experimental research with Post Test Control Group Design to analyze antiseptic activity using the Replica methods with to account the number of colonies of microorganism. Statistic test to the number of colonies of microorganism with Anova Test one way that confidence level 95% and obtained significance 0,000 the result P < 0,05 and continued to Tukey HSD test that confidence level 95%. The result statistic tes showed that have significan differences between negative control with the formula of gel antiseptic combination extract of kemangi leaf and extract Cytrus hystrix leather, so this formula have activity as antiseptic. The most effective variation concentration is concentration extract of kemangi leaf 75% and extract Cytrus hystrix leather 25%.
Sikap Dan Pengetahuan Terhadap Jamu Di Komunitas Yoga First Klaten
Authors: Maulida Ahda , Dewi Indri Kusuma , Yulianto Susilo
Published: January 2020

Jamu can improve health for the body empirically. The use of jamu has a tendency to back to nature. Jamu is a traditional medicine of Indonesia. Based on preliminary study about attitude and knowledge towards jamu in Yoga First Klaten by interviewing members, there were 5 of 7 members showed positive attitude towards jamu and 3 of 7 members knew about boiled traditional jamu. The goal of this research is to know attitude and knowledge towards jamu in Yoga First Klaten Community. The kind of the research is quantitative descriptive. Samples were taken by using purposive sampling, there were 50 samples and data was gotten from respondens that fill in the attitude and knowledge towards jamu statement form. The result of attitude has shown that 100% repondens were kind towards jamu. The result of knowledge has shown that 90% respondens in a good category and 10% in a enough category towards jamu. The conclusion is 100% respondens were kind and 90% respondens in a good category towards jamu.
As práticas das organizações coletivas do campo em Espera Feliz/Minas Gerais
Authors: Lopes Miranda Edna , De Carvalho Fiúza Ana Louise
Published: January 2020

Este artigo tem como objetivo analisar as práticas participativas adquiridas com o envolvimento dos agricultores familiares em organizações coletivas do campo, tais como movimentos sociais ou sindicais. Todavia, o enfoque não se dá em termos das demandas coletivamente construídas e reivindicadas junto ao Estado, mas, antes, em termos daquelas práticas que se instituem na esfera da vida cotidiana. Como percurso metodológico, foram aplicados questionários semiestruturados com 72 agricultores familiares participantes das organizações coletivas do campo em de Espera Feliz/MG, bem como observação participante com anotações em diário de campo nas reuniões e assembleias. Os resultados mostraram que, a participação nos ambientes de socialização das organizações coletivas do campo proporcionou aos agricultores, maiores níveis de capital político e favoreceu o desenvolvimento de suas competências para o desenvolvimento de práticas coletivas voltadas para o trabalho e a vida cotidiana, e não apenas para a sua atuação reivindicatória junto ao Estado.
Pemilihan Kepala Daerah Secara Langsung, Good Governance dan Masa Depan Otonomi Daerah
Authors: Legowo Tommi A.
Published: January 2020

Terselenggaranya good gavernance di daerah akan merupakan jaminan bagi otonomi daerah yang langgeng dan bermutu. Tetapi, otonomi daerah yang didasarkan pada program desentralisasi pemerintahan juga akan tergantung pada political will dan political commitment dari pemerintahan di tingkat pusat. Kedua hal ini merupakan faktor-faktor utama untuk menimbang masa depan otonomi daerah.
Media Above The Line dan Below The Line dalam Pilkada
Authors: Hamad Ibnu
Published: January 2020

Pemilihan kepala daerah (pilkada) langsung mengharuskan para calon kepala daerah (cakada) dikenal dan disukai oleh setiap calon pemilih. Bukan hal yang mudah memperkenalkan seorang cakada kepada para calon pemilih secara satu persatu karena hal itu akan memakan biaya yang sangat tinggi. Maka di situlah pentingnya peranan media untuk membawa cakada kepada calon pemilih, baik karena efisiensi maupun karena efektivitasnya. Melalui media, para cakada berharap dikenal, disukai dan akhirnya dicoblos pada saat pemilihan.
Critical Issue: Pilkada Langsung Sesuai Undang-Undang Nomor 32 Tahun 2004 dan PP Nomor 6 Tahun 2005
Authors: Muis Abdul
Published: January 2020

Pelaksanaan pemilihan kepala daerah dan wakil kepala daerah secara langsung merupakan perwujudan dari amanat Undang-Undang Nomor 32 Tahun 2004 tentang pemerintahan daerah, dimana Kepala Daerah dan Wakil Kepala Daerah dipilih secara langsung oleh rakyat melalui suatu pemilihan. Dalam pelaksanaan Pilkada secara langsung tentu tidak terlepas dari adanya ciritical issue yang mengikutinya.
Desentralisasi: Konsep, Teori dan Perdebatannya
Authors: Abdullah Sait
Published: January 2020

Definisi desentralisasi menjelaskan bahwa sebagai konsep, ternyata desentralisasi mempuyai berbagai bentuk seperti dekonsentrasi, delegasi maupun devolusi. Gelombang demokratisasi, good governance dan globalisasi telah menjadikan desentralisasi sebagai tuntutan besar bukan hanya bagi negara-negara maju tapi juga negara-negara berkembang.
Homogenitas Wajah Birokrasi di Aras Lokal
Authors: Haboddin Muhtar
Published: January 2020

Empirical realities indicated that the homogenization of bureaucratic features at the local level was getting intense. The study reveals that homogenization became massive when ethnicity, family relation, and regionalism became dominant determinants in the recruitment process as well as in determining structural position in local bureaucracy. This paper attempts to analyze the homogenization of bureaucratic features of local bureaucracy. The perspective of nepotism and recruitment were selected in understanding the issues. Both are widely used in political studies and government administration sciences.
Equalization Effects of Fiscal Transfer For Sub-National Governments in Indonesia
Authors: Kartikaningsih Meita Ahadiyati
Published: January 2020

Desentralisasi fiskal sangat penting dilihat dari perspektif perimbangan horizontal maupun vertikal. Ketimpangan pendapatan dan pengeluaran pemerintah daerah membutuhkan kebijakan desentralisasi fiskal yang mampu mengatasi persoalan tersebut. Kajian ini mencoba memahami teori dan praktek desentralisasi fiskal dan tujuan fundamentalnya untuk mengatasi ketimpangan horizontal. Adapun fokus kajian ini adalah untuk mengetahui sejauh mana ketimpangan horizontal dapat dikoreksi melalui kebijakan fiskal berdasarkan UU No 33 Tahun 2004. Tehnik regresi sederhana antara beberapa variabel perimbangan keuangan dan indikator pembangunan,(HDI dan tingkat kemiskinan) dilakukan untuk memotret hal tersebut. Namun hasil yang diperoleh menunjukkan transfer dana perimbangan belum mampu mengoreksi ketimpangan horizontal sebagaimana diharapkan. Distribusi dana perimbangan bahkan mengindikasikan sebagian daerah tertinggal menerima dana yang tidak seimbang dengan kebutuhan fiskalnya untuk mengejar ketertinggalan pembangunan. Kebijakan dana perimbangan ke depan perlu lebih mengakomodir kemampuan fiskal dan tingkat pembangunan daerah secara simultan.
Perspektif Pengelolaan Wilayah Kepulauan Era Otonomi Daerah
Authors: Muis Abdul
Published: January 2020

Future local conception in maritime management relates to the oceanic position and function of the sea as a means to unify the autonomous region and administrative area in implementation of genuine and responsible local autonomy policy. Hence, with the absence of adequate regulation on unifying authority in the vast maritime archipelago, the disparity in marine resource management and exploitation would be inevitable.
Kapasitas Pemerintah Daerah dalam Knowledge Creation
Authors: Basseng Basseng
Published: January 2020

Decentralization policy in perspective of knowledge management, particularly in terms of knowledge creation is considered unsuccessful. It is not that decentralization policy is not problematic, but inappropriate knowledge utilized by local government in exercising decentralized affairs is indeed problematic. Such knowledge falls short in enhancing prosperity and quality of democracy at the local level, regardless of the motivation.
Patent analysis of hybrid vehicles: collaboration and technology leadership
Authors: Rodríguez Salvador Marisela , Paredes León Francisco
Published: January 2020

Developments on hybrid vehicles have been growing during the last years due to the importance of green technologies. From a system engineering perspective a patent analysis of hybrid vehicles during 2000 to 2014 was developed to define a technology landscape of the recent years. A total of 40,023 patents were obtained and analyzed through two stages. During the first one the general areas of research and top patent companies were identified. Furthermore, an analysis of collaborations efforts was made. Results show that the company with the highest patent activity has also a strong focus on collaborative technology development. Toyota stands out for having the highest patenting rate and a diversity of collaboration agreements particularly on HEV technologies were identified. Subsequently, the main emphasis of research (according to international standard classifications) was defined. The analysis indicates that patent activity mainly focuses on control and electric vehicle propulsion; as well as in control systems especially adapted for hybrid vehicles. The second stage included the determination of the research focus according type of hybrid vehicle, the predominant alternative energy sources; and finally, the recent patents of top companies according to the most frequent alternative source of energy. The insights obtained indicate that research on parallel hybrid vehicle predominate, followed by series-hybrid and series-parallel hybrid type. In respect to alternative sources of energy, there is an extensive research on hydrogen, followed by solar energy. Toyota and Hyundai rank the first positions; its recent inventions on this arena were identified. The major contribution of this research is to determine a technological landscape on hybrid vehicles by means of an integration of collaborative systems engineering approach with patent analysis. Outcomes obtained aims to support the strategic decision process for organizations, companies, institutes and other stakeholders involved in this sector.
Can the Game-Based Learning Come? Virtual Classroom in Higher Education of 21st Century
Authors: Szegedine Lengyel Piroska
Published: January 2020

In recent years, the growing popularity of gamification in learning-organization has shown that it will become an integral part of both traditional and online education at different educational levels. Schools have begun to recognize the value of a successful gamification strategy in motivating students and stimulating the effectiveness of the learning process. The article presents a kind of game-based teaching-learning environment, a solution for integrating digital games into the learning-teaching process, linking theoretical and practical knowledge by the game through e-learning of accounting skills with special emphasis on the experiential learning method. The game-based virtual classroom presented in the present article has been working successful in higher education for several years, the number of the active students grown from semester to semester, the gamification becomes more and more popular in this level of the education, too.
Meaning in Context and Contextual Meaning: A Perspective on the Semantics-Pragmatics Interface Applied to Modal Verbs
Authors: Depraetere Ilse
Published: January 2020

Cet article propose une approche du sens pragmatique qui repose sur la distinction entre le sens véri-conditionnel et le sens non véri-conditionnel. Tout en reconnaissant que des processus d’inférence dits pragmatiques (tels que la saturation et l’enrichissement pragmatique libre) contribuent autant à l’identification de l’explicature ou de « ce qui est dit », qu’ils contribuent au sens impliqué, l’hypothèse mise en avant est qu’on parvient à un modèle plus élégant si le contenu véri-conditionnel plutôt que l'inférence pragmatique est pris comme base pour la dénotation du concept « pragmatique » et des distinctions conceptuelles connexes. Une distinction claire doit être posée entre une dénotation du terme « pragmatique », globalement formelle, qui renvoie au contexte linguistique et non-linguistique (« sens en contexte »), et une dénotation plus fonctionnelle du même terme, qui saisit un type de sens (« sens contextuel »). Cette distinction n’est pas toujours explicitée dans les analyses et, par conséquent, la « pragmatique » renvoie à des phénomènes très divers. Dans la boîte à outils terminologiques présentée ici, « pragmatique » est utilisé pour désigner un sens contextuel bien restreint : le concept est réservé pour la couche non véri-conditionnelle du sens contextuel, qui englobe bien plus que le sens implicité (« implicatures »), alors que les facettes véri-conditionnelles du sens contextuel relèvent de la sémantique.