bluuebunny/crossref_metadata_2025 huggingface dataset:
Offloading Computation for Efficient Energy in Mobile Cloud Computing
Authors:   Research Scholar, Department of Computer Science and Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India., Kandavel N , Kumaravel A ,   Professor, Department of Information Technology, BIHER - Bharath Institute of Higher Education and Research, Chennai, India.
Published: August 2019

Mobile Cloud is giving offices of capacity and remote application facilitating. A few mobile applications are excessively computation concentrated so control utilization issue is basic issue in mobile gadgets. Offloading highlight in Mobile Cloud Computing (MCC) decreased power utilization issues of mobile gadgets. Existing examination works have either utilized fixed mobile gadget speed or does not consider mobile gadget speed in estimation of nearby execution energy. Speed of mobile gadget assumes a noteworthy job in assurance of neighborhood execution energy and it is influenced by parallel running applications and clock recurrence of mobile gadget. Since when there are applications running in parallel, execution speed of mobile isn't fixed. So as to counter these issues, this work misuses Exponential Weighted Mean Moving Average to foresee gadget speed as per load on mobile gadget. We have contrasted proposed work and two kinds of frameworks: Fixed CPU Speed framework where CPU speed of mobile gadget is fixed all through all offloading choices, and Oracle which accept to know definite speed of mobile gadget ahead of time. Assessment of all frameworks is conveyed by utilizing manufactured outstanding tasks at hand.
Empirical Analysis of Explicating the Tacit Knowledge Background, Challenges and Experimental findings
Authors:   School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India., Singh Ninni , Ahuja Neelu Jyothi ,   School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.
Published: August 2019

Tacit knowledge is undocumented knowledge, gained by an individual by virtue of his/her experience on an activity. It rests with the individual, is hard to discover, express and articulate. It is a valuable body of knowledge, hence is essential to solicit, gather and explicate, so as to facilitate its percolation to the younger generation. In this paper, characteristics of tacit knowledge, the issues and mechanisms of explicating have been presented. Seismic data interpretation, as a tacit knowledge domain has been identified, issues faced in its explication and process followed in development of explicit knowledge capsule is detailed. In order to infer the tacit knowledge sharing behavior of an individual a large approximate 5000 survey responses from participant base of individuals from IT firms, Educational Institutions, Government Organizations, Research Organization and Students Community were obtained. The validity and reliability of the measure were verified. Exploratory factor analysis and confirmatory factor analysis was conducted on received valid responses. Based on the analysis, the concrete inference was deliberated.
Impact of Finding Selfish Nodes in Manet
Authors:   Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India., V Dr Anandkumar , T R Kalaiarasan ,   Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India., A M Ratheeshkumar ,   Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India
Published: August 2019

The nodes that operate in the self-organized functions of Mobile Ad hoc Networks (MANETs) participate in the network but increase the energy and resources consumption. As some nodes are non-cooperative with others in the network, it is necessary that those nodes have to be removed. Active researches are conducted to deal with those selfish nodes that are non-cooperative. Methods/ Statistics: Our paper analyzes by comparing the 2ACK method simulated using hash chain one-way scheme with digital signature and DSR methods. Findings: The simulation analysis suggest that a considerable percentage of packets delivered of 2ACK method is greater when compared with Digital signature or any other DSR methods but has the capability in finding a considerable number of selfish nodes present in the network. Applications/ Improvements: the 2ACK scheme can be used to control the network overhead using the authentication schemes and can be enhanced to monitor the video traffic can be monitored.
A Hybrid Classification and Prediction Methodology for the Diagonosis of Osteoporosis
Authors:   Information Technology, S.O.I.T, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, Madhya Pradesh, INDIA, Kumar Neeraj , Sharma Dr. Varsha ,   Information Technology, S.O.I.T, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, Madhya Pradesh, INDIA
Published: August 2019

With the advent of technology medical science is growing very fast . Disease diagonosis using machine learning technique is quite cumbersome. But efforts are made by the innovative minds to develope an optimal and efficient prediction model for the prediction of the disease viz, bone disease . Bone disease prediction is also a broad area of research where machine learning techniques can be used. Better prediction and analysis can be helpful to cure such disease . Osteoporosis is an osteo- metabolic disease characterized by low bone mineral density (BMD) and deterioration of the micro- architecture of the bone tissues, causing an increase in bone fragility and consequently leading to an increased risk of fractures.. Machine learning algorithms play important role for predicting and analyzing such disease using available algorithms and by modifying them . There are many algorithms such as SVM (Support vector machine), Genetic Algorithm, Naive bayes classifier and other tree based classifiers which are proposed in traditional scenario for prediction of expected data from an image. The goal of this paper is to discuss about a proposed hybrid analysis and prediction approach for diagonosing osteoporosis. This paper also discuss about various prediction models viz, svm prediction model as the efficient one while processing the textual data for symptoms analysis. Here symptoms are called predictors . A comparison using the Accuracy and training time is performed. The approach shows the efficiency of proposed model over textual data as well as graphical image data analysis.
Geographical Information System Based Safe Path Recommender
Authors:   Jaypee Institute of Information Technology, Noida Sector 62, pursuing final year of B. Tech in Computer Science and Engineering., Jain Aman , Kumar Hrishav ,   Computer science student from Jaypee Institute of Information Technology (graduating in 2020), Parashar Deepak ,   Computer science student from Jaypee Institute of Information Technology (graduating in 2020)., Sharma Simran ,   Jaypee Institute of Information Technology, Noida Sector 62, pursuing 4th year of B. Tech in Computer Science and engineering
Published: August 2019

The threat to women safety, especially on road, has become a major concern these days and the problem is increasing dramatically. Women are unsafe not just in the night but also in the day, they fear getting assaulted not only in public transport but also while travelling in cars and two-wheelers. People are harassed on road in various ways like robberies, killings, etc., but women go through even bigger traumas. Cases like, rape in moving cars, sexual assault and robberies by forcefully stopping the vehicle, teasing women on two-wheelers, etc. have increased to an alarming level. This study is an initiative to safe-guard the self-esteem of our women and prevent them from any ugly experience, while on road. It aims to find and suggest the safest path for women and tells the level of crime of the locations in that path, while travelling from one place to another. The system determines the various paths from source to destination, as entered by the user on the map interface, by calculating the danger index. This index is found on the basis of the crime rate of the grouped locations. These locations are grouped by clustering them on the basis of the crime history of that location. The app as a result suggests the best three paths in different colours (Green, Red, Yellow).
Mathematical Formula of Performance of Watermarking System with Repetition of Bits of Watermark
Authors:   Department of Mathematics Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India., Agarwal Himanshu
Published: August 2019

The performance of a watermarking system depends on all of its factors, such as watermark embedding strength, size of watermark and repetition of watermark bits. In this paper, a mathematical formula is designed, that governs the relation of performance of watermarking system with amount of the repetition of watermark bits. Performance of the watermarking system is measured by using the extracted watermark bit accuracy rate. The designed formula is verified experimentally. A spatial domain watermarking scheme is used for experimental verification. Further, verification is done for different kind of attacks such as cropping, Gaussian filter, Gaussian noise and salt & pepper noise. Accuracy rate by using the mathematical formula and experimental observations are very near. This supports that the designed mathematical formula is reliable.
Smart Firefighting System for Smart Cities Adopting Fog/Edge Computing
Authors:   Machine Learning, IoT Technologies, and Artificial Intelligence., Ilayarani P. Punitha , Dominic M. Maria ,   Sacred Heart College from 1996 onwards at various capacities like lecturer, IGNOU Assistant Coordinator, Head of the department IQAC Member, Member of Board of Studies in Thiruvalluvar University for Computer Science
Published: August 2019

Security ought to be the highest concern for everyone’s sovereignty from prospective destruction caused by unusual incidents or intruders. Constant monitoring mostly refers to protection against hostile forces. Home security confirms smart decision making at the peak time, activated alarms and detectors are to be avail 24/7. Highest inspiration of this proposed system is to notify the emergency incidents to the appropriate authorities like fire station, police station and the residence owner if the owner is not in house. To prove the domino effect support Vector Machines (SVM) algorithms are implemented and tested. In this paper we explore close watch and stay connected devices and also peace of mind through controlling and monitoring our homes by adopting Fog/Edge computing technologies.
Activity Scheduling on Identical Parallel Processors
Authors:   Department of Computer Science and Engineering, Pranveer Singh Institute of Technology, Kanpur, India., Mahapatra Satyasundara , Dash Rati Ranjan ,   Department of Mechanical Engineering, College of Engineering and Technology, Bhubaneswar, India., Pani Niroj Kumar ,   Department of Computer Science Engineering and Application, Indira Gandhi Institute of Technology, Sarang, India.
Published: August 2019

The efficiency of parallel processors is achieved for the purpose of quick computing is mainly depending on the scheduling of activity. The most important factor for scheduling of activities are depend on the waiting time which is directly influence the computation time of overall activity. Minimizing the Variance of Waiting Time otherwise known as Waiting Time Variance (WTV) is one of the metrics of Quality of Services (QoS) which enhance the efficiency of activity scheduling. Allocate the activity from a set of activity pool and schedule them for each identical parallel processor for execution in a large scale by minimizing WTV is the main focusing area of this paper. In case of large scale computing activities are complex in nature. A prior knowledge of each activity must be known before the preparation of activity scheduling for efficient and rapid computing. A snake walks style of activity distribution among the parallel processor is presented in this paper for minimization problem. The minimization of WTV is measured with the help of three heuristic intend methods named as RSS, VS and BS. The results of the experiment are compared with current conspires and demonstrate the new snake style conspire is presenting the best practices for proven conspires and challenges in a wide range of activity. The algorithm's predictable findings appear as illustrated with graph.
Machinibility Performance of CNC Turning Based on Automated Coolant Supply System
Authors:   Graduate School of Engineering, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia., Md Hatta Wan Nur ‘Izzati Wan , Jafar Fairul Azni ,   Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia., Md Nor Farizan ,   Department of Technology & Proses, Kolej Kemahiran Tinggi MARA Kuantan, Kuantan, Pahang, Malaysia., Mohamed Noor Ahamad Zaki ,   System Engineering and Energy Lab, Universiti Kuala Lumpur – Malaysia Spanish Institute, Kulim Hi-tech Park, Kulim, Kedah, Malaysia.
Published: August 2019

CNC machine is an industrial manufacturing machine that is used to improve quality and productivity of a product. Good tool life and surface finish of this CNC machining product are produced by applying wet cooling technique. However, this technique had affected the workpiece, tooling, health and environment. Also, there is only 10% to 15% of coolants used from the total amount of supply in the system and this lead to waste and increase productivity cost. Hence, the idea of using Programmable Logic Control (PLC) that inspired the control system of coolant supply plays an important role in developing the modern technology and industry for machining. The purpose is to develop a time-based automated coolant supply system and to test the system performance through evaluation of the roughness of the workpiece surface. The adjusted device to control the coolant supply employed a washing machine inlet control valve. Basically, the used of PLC is able to fulfil the function of the valve operation to control the flow of the coolant through the ON-OFF sequence based on time. Results from the experiment prove that better surface roughness is achieved through the application of automated coolant supply system. Hence, relationship between surface roughness and reduction in consumption of coolant in this system is also obtainable.
Breast Cancer Diagnosis (BCD) Model Using Machine Learning
Authors:   Assistant Professor in Computer Engineering Department in G H Patel College of Engineering & Technology., Israni Priyanka
Published: August 2019

In the recent years, breast cancer research has made a significant growth however there is still a scope of advancement. Breast cancer increases the statistics of mortality among women. In concern to this issue, treatment of cancer should be started at the earlier stage, to increase the chances of survival of the patient. Thus, there is a need to diagnose breast cancer at the early stage using the features from the mammograms. This paper proposes an efficient BCD model to detect breast cancer by using Support Vector Machine (SVM) with 10-fold cross validation. The complexity of the problem increases if there are many input features for the diagnosis of cancer. Thus, Principal Component Analysis (PCA) is used to reduce the feature space from a higher dimension to a lower dimension. Experiment result shows that the PCA increases the accuracy of the model. The proposed BCD model is compared with other supervised learning algorithms like Decision trees (DT), Random Forest, k- Nearest Neighbors(k-NN), Stochastic Gradient Descent (SGD), AdaBoost, Neural Network (NN), and Naïve Bayes. Evaluation parameters like F1 measure, ROC curve, Accuracy, Lift curve and Calibration Plot proves that proposed BCD model outperforms and gives the highest accuracy among other compared algorithms.
A Forecasting tool for Air Quality Monitoring Built up on Cloud and IoT
Authors:   Research Scholar, Department of Electronics Engineering, M.I.E.T., Gondia, India., Hasan Mohd. Tahseenul , Chourasia Dr. Vijay S. ,   Department of Electronics Engineering, M.I.E.T., Gondia, India., Asutkar Dr. Sanjay M. ,   Department of Electronics Engineering, M.I.E.T., Gondia, India.
Published: August 2019

Air pollution has turned to no less than a monster and is becoming notorious with every passing day. The human race has been solely responsible for taking the world to such a state. With ill effects of pollution becoming glaringly evident it has been instrumental in forcing the world to get up from the deep slumber and act out. Air quality monitoring is a process in which the quality of air is monitored and on the basis of recorded information, it is conveyed to general public about the quality of air they are breathing. Air pollution poses serious problems to persons suffering respiratory disorders and there is a necessity to provide such target group with a tool which helps them to be aware about the pollution scenario and also alarms them with the impending critical situation well in advance. It is elementary for them to avoid situations where in lies a chance of exposure to pollutants leading to attacks which could prove to be fatal at times. This advance information will go a long way in helping such target audience to minimize their exposure to pollutants and thereby helping them to mitigate their ordeal on exposure to pollutants. Apart from getting predictive alarm, it gives a fair idea of the existing pollution scenario to the targeted stakeholders. This work discusses the implementation of cloud based IoT system for air quality monitoring which is available as a web interface as well as in a form of an android application.The developed system uses Nitrogen Dioxide, Sulphur dioxide, Particulate Matter 10 micrometers or less in diameter (P.M.10) sensors along with the temperature and the humidity sensors to form a wireless sensor node. An android application has also been developed which can be installed by the user. Once registered the user can access the data from the application which allows the users to observe the data of sensors along with the air quality index (AQI) and also provide the registered user with an alarm notification one day in advance about the probable level of pollutants as well as the AQI.
Double Fibonacci Spiral Microstrip Patch Antenna for Dual Band Applications
Authors:   Sobhasaria Group of Institutions, Sikar, India., Meena Asha , Garhwal Anita ,   Sobhasaria Group of Institutions, Sikar, India. Amity University Rajasthan, India., Ray Kanad ,   Amity university Rajasthan, India.
Published: August 2019

Double Fibonacci spiral in a circle with microstrip line feeding technique is designed in the frequency range from 0.1GHz to 6GHz. The antenna is designed and simulated in computer simulation technology microwave studio software, substrate Fr-4 with thickness 1.59mm is used and antenna parameters such as return loss, surface current, E-field, H-field and gain are calculated for Double Fibonacci spiral microstrip patch (DFSM) antenna. The antenna is used for ISM (industrial, scientific and medical) frequency band (2.45GHz) and a new unutilized band for next generation services, gain is 2.22dB and 3.16dB and bandwidth is 25.94% and 22.83% on resonating frequencies.
Pengaruh Model Penemuan Terbimbing Berbantu LKPD terhadap Kemampuan Pemahaman Konsep Matematis Siswa SMPN 6 Depok
Authors: Nurul Laili
Published: August 2019

Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran penemuan terbimbing berbantu LKPD terhadap kemampuan pemahaman konsep matematis siswa SMPN 6 Depok pada semester genap tahun ajaran 2017-2018. Penelitian ini merupakan penelitian kuantitatif menggunakan metode penelitian jenis quasi experimental dengan the nonequivalent posttest only control group. Teknik pengambilan sampel yang digunakan adalah metode cluster random sampling. Instrumen penelitian berupa soal uraian sebanyak 9 butir, dari hasil perhitungan uji validitas, uji reliabilitas, uji tingkat kesukaran dan uji daya pembeda. Uji prasayarat yang dilakukan yaitu uji normalitas dan homogenitas diperoleh hasil data yang berdistribusi normal dan homogen. Uji hipotesis menggunakan uji-t kemudian diperoleh thitung = 2,6053 > 1,6690 = ttabel   mengakibatkan tolak  pada taraf signifikasi 5% dengan effect size sebesar 0,5807 yang tergolong sedang. Disimpulkan bahwa terdapat pengaruh model pembelajaran penemuan terbimbing berbantu LKPD terhadap kemampuan pemahaman konsep matematis siswa SMPN 6 Depok.
Analisa Pengukuran Kinerja Perusahaan PT. BCV dengan Menggunakan Konsep Balanced Scorecard
Authors: Pratiwi Syair
Published: August 2019

Dalam rangka mencapai peningkatan pemasaran dan pendapatan di PT BCV, perusahaan harus melakukan perbaikan dengan melakukan pengukuran kinerja. Pengukuran kinerja dilakukan pada tahun 2016 dengan menggunakan metode Balanced Scorecard dengan tujuan pokok permasalahan yang diukur yaitu menentukan KPI apa saja di setiap perspektif, menetapkan bobot setiap KPI dan bagaimana hasil kinerja seluruh. Model CIPP digunakan untuk menyelesaikan studi ini dengan studi Input dalam bentuk pernyataan perusahaan, strategi perusahaan dan target dan realisasi masing-masing KPI. Penentuan KPI penulis menggunakan metode wawancara kepada setiap kepala bidang dan manager bertugas menentukan KPI yang akan dilakukan pembobotan dengan menggunakan konsep pendukung keputusan yaitu AHP. Perhitungan kinerja KPI dilakukan dengan membandingkan target dan realisasi. Dari 32 strategi yang berikan setiap kepala bidang, hanya 15 yang dipilih oleh manager sebagai KPI. Hasil pembobotan setiap perspektif yaitu pada perspektif pelanggan sebesar 0,5476 , perspektif Pembelajaran & Pertumbuhan sebesar 0,2559, perspektif Proses Bisnis Internal sebesar 0,1448 dan perspektif keuangan sebesar 0,0517. Hasil perhitungan skor KPI secara keseluruhan sebesar 0,0517 dalam lalu lintas masuk kedalam katagori warna merah yang berarti kinerja perusahaan TV kabel berada diposisi yang sangat rendah. Saran yang diberikan untuk dilakukan evaluasi yaitu Perspektif Pelanggan dan Perspektif Proses Bisnis Internal.
Penyakit Fisik dan Lingkungan terhadap Insomnia bagi Lanjut Usia
Authors: Februanti Sofia , Hartono Dudi , Cahyati Ai
Published: August 2019

Abstract: Physical and environmental diseases affect elderly insomnia. Sleep needs are basic human needs, including elderly. However, many elderly people have difficulty sleeping (insomnia). The purpose of this study was to determine the relationship of physical illness and environmental problems to insomnia experienced by the elderly. Research design using cross sectional Sampling with purposive sampling technique, with a total of 34 people. Data analysis using univariate and bivariate. The results showed that there was a relationship between physical illness and environmental problems with elderly insomnia.

Keywords: elderly insomnia, environmental problems, physical illness
Korelasi Persepsi terhadap Kebutuhan Fisioterapi Antenatal untuk Mengatasi Masalah Muskuloskeletal Ibu Hamil
Authors: Jannah Roikhatul , Agustina Dwi , Faradisa Windya Puspa
Published: August 2019

The changes of hormone and anatomy results in musculoskeletal problem in pregnant women. Physiotherapy plays important role during pregnancy. However, in Indonesia, the number of attendants to antenatal physiotherapy was limited. This was thought to be associated to the perception of pregnant women toward the need of services. The present study aims to determine the factors related to pregnant women’s perception towards need of antenatal physiotherapy services in Puskesmas Kecamatan Cipayung. Target population of this cross sectional study was all pregnant women in Puskesmas Kecamatan Cipayung among 103 participants who purposively selected were interview. Analysis data using univariate and bivariate analysis (Chi Square test). The majoririty of education level, working status, and income level were respectivelly senior high school (61.2%), unemployee (82.5%), and Rp2.500.000-3.500.000 (37.9%). Furthermore, most of respondents complain on musculoskeletal disorder especially low back pain, namelly (63.1%) while their lack of knowledge on physiotherapy was 70.9%, and perception towards the need of antenatal physiotherapy service with indicator “no need” was counted 52,4%. p value between perception toward need of antenatal physiotherapy with education, income, knowledge level and working status were p=0.041, p=0.001, p=0.000, and p=0.314. Results reveal that education level, income level, and knowledge were significant factors affecting pregnant women’s perception towards antenatal physiotherapy services meanwhile working status was not significant.It is recommended to promote physiotherapy services for better play role on women health improvement.
Investigation of Environmental Degradation on Joint Properties of
Polymer Adhesive Joints in Salt Water Environment
Authors: Kerur Shirish , S Shivakumar
Published: August 2019

The objective of research work is to establish the influence of environmental factors such as moisture and temperature on the shear properties of metal and polymer joints. The specimens of metal and polymer joints were prepared with aluminium plate and glass fibre reinforced plastics. Here three types of resins were used for joining the metal and polymer composites viz. epoxy vinyl ester and polyester. The joint specimens were exposed to 80 C temperature and relative humidity of 90% for 25 days in environmental chamber. The single and double shear strength of the joints for ascast and hygrothermal exposed specimens are investigated. The results showed that the strength of hydrothermal specimens decreased about 25%, 18% and 33% for epoxy, vinyl ester and polymer adhesive joints respectively. The result also shows that vinyl ester joints exhibit lower water absorption and property degradation of the joints.
Optimal selection of parameters in CNC end milling of Al 7075 T6 alloy by
TBLO
Authors: Siddiqui Fauzia , Thakur Paramjit
Published: August 2019

Al 7075 T6 is one of the highest strength aluminum alloys in 7000 series family which is used in highly stressed structural parts of aircrafts. The high surface roughness lowers the fatigue resistance and also affects the quality of the parts. Hence, this work deals with the application of teaching learning based optimization to minimize the roughness in the CNC end milling process. Here, taguchi L9 orthogonal array is used as
experimental design. The depth of cut, feed and speed are used as control factors with three levels each and roughness as the response. The regression model was developed to find the effect of process parameters on response. The regression model was used by Teaching Learning Based Optimization (TLBO) algorithm and optimum process parameters were obtained. The optimal process parameters obtained by TLBO gave 60% reduction in roughness as compared to that given by initial setting of parameters used for machining of this material.
Nano indentation Analysis of Multi Stage Spark Plasma Sintered
Hydroxyapatite-Calcium Titanate Biocomposite
Authors: Mallik Prafulla Kumar , Balani Kantesh , Basu Bikramjit
Published: August 2019

Despite being highly bioactive and biocompatible, some of the limitations like poor fracture toughness, lack of electrical conductivity and antimicrobial properties restrict the use of monolith hydroxyapatite (HA) as bone replacement material. In this paper, we address one such issue and will demonstrate how CaTiO3 (CT) addition enhances physical properties like strength, fracture toughness etc. Therefore, the strategy in the current research is to develop dense HA-CT biocomposites using innovative multi-stage spark plasma sintering (MSSPS) technique (at 50 MPa, 1200oC, 5 min), that can mimic the function and properties close to that of natural bone. Fine scale microstructural characterization using TEM reveals the presence of twins in CaTiO3 grains and the grain size of HA is around 1-2 µm. Phase analysis using x-ray diffraction analysis revealed an absence of α and β-tricalcium phosphate (Ca3(PO4)2) or CaO phase which is also supported by Fourier transformed infra-red spectroscopy. Elastic modulus of 46-135 GPA is obtained using nanoindentation. Based on the available empirical models, it has been observed that the experimentally measured density hardness, and elastic modulus match reasonably well with that of the natural cortical bone.
Pengolahan Material Bambu dengan Menggunakan Teknik Laminasi dan Bending untuk Produk Furniture
Authors: Nugraha Hari
Published: August 2019

Bambu adalah sebuah material alternatif dari kayu yang banyak digunakan untuk pembuatan furniture. Dengan menggunakan rotan sebagai tali pengikat untuk sambungan, bambu dapat dibentuk menjadi furniture dengan nilai estetik. Penelitian ini meneliti cara baru dalam pemprosesan furniture yang terbuat dari bambu. Metode yang digunakan adalah teknik laminasi yang digunakan untuk membuat balok atau papan bambu dan teknik penguap bertekanan untuk proses penekukan. Keluaran dari penelitian ini yaitu dua teknik yang inovatif untuk pemprosesan bambu secara modern. Hasil penelitian ini dapat digunakan oleh khalayak umum dan usaha kecil yang berkecimpung dalam industri kerajinan bambu.
Peranan Tablet dalam Implementasi Paperless Office
Authors: Qomariyah Nurul Nunung
Published: August 2019

Produksi kertas mencapai 331 juta ton pada tahun 2002 (Holik,2006). Angka ini naik tujuh kali lipat sejak tahun 1950. Usaha untuk mengurangi kenaikan ini dengan mengurangi penggunaan kertas telah dilakukan. Salah satu alternatif adalah mengaplikasikan kantor tanpa kertas, merubah yang tadinya menggunakan kertas menjadi bentuk digital. Tetapi, semenjak kantor digital dikumandangkan sejak 30 tahun yang lalu, penggunaan kertas malah naik seiring dengan propaganda adanya kantor tanpa kertas (York,2006).Pada awal pengenalan kantor tanpa kertas ada permasalahan yang muncul yaitu pada akses data. Dengan menggunakan kertas, data dapat dipindahkan dan dibawa dengan mudah kapan saja dibandingkan dengan harus mengakses data melalu computer. Tetapi dengan berkembangnya teknologi secara signifikan, dengan adanya tablet mempermudah pengguna untuk dapat mengakses data dan memodifikasi data kapan saja pengguna tersebut inginkan. Tablet ini mudah untuk dibawa dan memudahkan pengguna untuk bekerja secara mobile. Dapatkah tablet menjadi solusi untuk implementasi kantor tanpa kertas? Penelitian ini akan membahas mengenai peranan tablet dalam implementasi kantor tanpa kertas.
Konstruksi Model Kewirausahaan Sosial (Social Entrepreneurship) Sebagai Gagasan Inovasi Sosial Bagi Pembangunan Perekonomian
Authors: Sofia Irma Paramita
Published: August 2019

Pada beberapa negara, terdapat banyak tantangan sosial yang masih perlu diselesaikan, yaitu kemiskinan yang parah, dan kurangnya akses umum untuk perawatan kesehatan atau pendidikan. Dalam keadaan global, kewirausahaan sosial memiliki potensi untuk memberikan beberapa solusi sosial, yaitu dengan menerapkan pendekatan kewirausahaan dan kekuatan inovasi sosial untuk menghadapi tantangan sosial yang ada.Tulisan ini mencoba untuk memberikan tinjauan literatur dari konsep kewirausahaan sosial, seperti latar belakang sejarah, karakteristik, dan model bisnis yang efektif untuk kewirausahaan sosial.Kewirausahaan sosial dipandang sebagai pengusaha sosial yang didorong, untuk menciptakan nilai superior bagi masyarakat. Konsep ini telah berkembang di berbagai perguruan tinggi. Pengusaha sosial berbeda dari pengusaha dalam hal misi mereka. Peran kewirausahaan sosial bagi masyarakat juga dibahas dalam tulisan ini. Diskusi terakhir terfokus pada contoh orang atau organisasi di Indonesia yang berhasil menerapkan konsep ini pada aktivitas bisnis mereka dan dampak potensial dari kewirausahaan sosial terhadap pembangunan ekonomi.Kata kunci : Social Entrepreneurship, Inovasi Sosial, Model Bisnis, Pembangunan Ekonomi
Non-Linear Error Functions Approach to Kinetic Study of Arsenic Removal from Soils using Proteus mirabili and Bacillus subtilis
Authors: Atikpo E. , Agori J. E. , Iwema E. R. , Michael A. , Umukoro L. O.
Published: August 2019

Kinetics of arsenic (As) removal by Proteus mirabilis and Bacillus subtilis were studied using the non-linear error functions approach. The two microorganisms (from soils samples obtained from a contaminated site in Amaonye-Ishiagu in Ebonyi State of Nigeria) were cultured and employed to deplete the metal ion from the contaminated soils. The experimental data were studied with four kinetic models namely pseudo first order, pseudo second order, simple Elovich, and intraparticle diffusion models using some non-linear error functions of root mean square error (RMSE), standard error of experiment (SEE), average relative error (ARE) and normalized standard deviation (NSD). Data from removal by both organisms were best described with pseudo first order model indicated by the ARE of minimum value of -1.8728 for Proteus mirabilis, and -2.1208 for Bacillus subtilis. These showed that the removal mechanism was reaction controlled as chemisorption was the rate limiting step.
Long-term Variations of Venus’s 365 nm Albedo Observed by Venus Express, Akatsuki, MESSENGER, and the Hubble Space Telescope
Authors: Lee Yeon Joo , Jessup Kandis-Lea , Perez-Hoyos Santiago , Titov Dmitrij V. , Lebonnois Sebastien , Peralta Javier , Horinouchi Takeshi , Imamura Takeshi , Limaye Sanjay , Marcq Emmanuel , Takagi Masahiro , Yamazaki Atsushi , Yamada Manabu , Watanabe Shigeto , Murakami Shin-ya , Ogohara Kazunori , McClintock William M. , Holsclaw Gregory , Roman Anthony
Published: August 2019

An unknown absorber near the cloud-top level of Venus generates a broad absorption feature from the ultraviolet (UV) to visible, peaking around 360 nm, and therefore plays a critical role in the solar energy absorption. We present a quantitative study of the variability of the cloud albedo at 365 nm and its impact on Venus’s solar heating rates based on an analysis of Venus Express and Akatsuki UV images and Hubble Space Telescope and MESSENGER UV spectral data; in this analysis, the calibration correction factor of the UV images of Venus Express (Venus Monitoring Camera) is updated relative to the Hubble and MESSENGER albedo measurements. Our results indicate that the 365 nm albedo varied by a factor of 2 from 2006 to 2017 over the entire planet, producing a 25%–40% change in the low-latitude solar heating rate according to our radiative transfer calculations. Thus, the cloud-top level atmosphere should have experienced considerable solar heating variations over this period. Our global circulation model calculations show that this variable solar heating rate may explain the observed variations of zonal wind from 2006 to 2017. Overlaps in the timescale of the long-term UV albedo and the solar activity variations make it plausible that solar extreme UV intensity and cosmic-ray variations influenced the observed albedo trends. The albedo variations might also be linked with temporal variations of the upper cloud SO2 gas abundance, which affects the H2SO4–H2O aerosol formation.
Impulsive Coronal Heating from Large-scale Magnetic Rearrangements: From IRIS to SDO/AIA
Authors: Reale Fabio , Testa Paola , Petralia Antonino , Graham David R.
Published: August 2019

The Interface Region Imaging Spectrograph (IRIS) has observed bright spots at the transition region footpoints associated with heating in the overlying loops, as observed by coronal imagers. Some of these brightenings show significant blueshifts in the Si iv line at 1402.77 Å (

). Such blueshifts cannot be reproduced by coronal loop models assuming heating by thermal conduction only, but are consistent with electron beam heating, highlighting for the first time the possible importance of nonthermal electrons in the heating of nonflaring active regions. Here we report on the coronal counterparts of these brightenings observed in the hot channels of the Atmospheric Imaging Assembly on board the Solar Dynamics Observatory. We show that the IRIS bright spots are the footpoints of very hot and transient coronal loops that clearly experience strong magnetic interactions and rearrangements, thus confirming the impulsive nature of the heating and providing important constraints for their physical interpretation.
On the Growth and Saturation of the Gyroresonant Streaming Instabilities
Authors: Holcomb Cole , Spitkovsky Anatoly
Published: August 2019

The self-regulation of cosmic-ray (CR) transport in the interstellar and intracluster media has long been viewed through the lenses of linear and quasi-linear kinetic plasma physics. Such theories are believed to capture the essence of CR behavior in the presence of self-generated turbulence but cannot describe potentially critical details arising from the nonlinearities of the problem. We utilize the particle-in-cell numerical method to study the time-dependent nonlinear behavior of the gyroresonant streaming instabilities, self-consistently following the combined evolution of particle distributions and self-generated wave spectra in one-dimensional periodic simulations. We demonstrate that the early growth of instability conforms to the predictions from linear physics, but that the late-time behavior can vary depending on the properties of the initial CR distribution. We emphasize that the nonlinear stages of instability depend strongly on the initial anisotropy of CRs—highly anisotropic CR distributions do not efficiently reduce to Alfvénic drift velocities, owing to reduced production of left-handed resonant modes. We derive estimates for the wave amplitudes at saturation and the timescales for nonlinear relaxation of the CR distribution and then demonstrate the applicability of these estimates to our simulations. Bulk flows of the background plasma due to the presence of resonant waves are observed in our simulations, confirming the microphysical basis of CR-driven winds.
Transfer of the assassin bug Helonotus pallidulus Walker to the genus Heza Amyot & Serville (Hemiptera, Heteroptera, Reduviidae, Harpactorinae, Harpactorini)
Authors: Gil-Santana Hélcio R. , Webb Michael D.
Published: August 2019

Based on examination of its holotype,Helonotus pallidulusWalker, 1873 is transferred to the genusHezaAmyot & Serville, 1843 with the resulting new combination:Heza pallidula(Walker, 1873),comb. nov.(Hemiptera, Heteroptera, Reduviidae, Harpactorinae, Harpactorini). A comparison with the similarHeza ventralisStål,1872 is provided.
A first phylogenetic study on stoloniferous octocorals off the coast of Kota Kinabalu, Sabah, Malaysia, with the description of two new genera and five new species
Authors: Lau Yee Wah , Reimer James D.
Published: August 2019

Sabah, Malaysia, is well known for its extensive and diverse coral reefs. It is located on the northwestern edge of the Coral Triangle, the region with the highest marine biodiversity. Much of the marine fauna here is still unknown, especially inconspicuous animals, such as small stoloniferous octocorals, which are common on coral reefs. Here, we describe two new monospecific genera of the family Arulidae found off the coast of Kota Kinabalu, Sabah, East Malaysia; Bunga payunggen. nov. et sp. nov. and Laeta waheedaegen. nov. et sp. nov. As well, the stoloniferan genus Phenganax Alderslade & McFadden, 2011 belonging to the family Clavulariidae is expanded with three new species, P. marumisp. nov., P. subtilissp. nov., and P. stokvisisp. nov., which are all sclerite-free. Additionally, we report a possibly undescribed species, closely related to the clavulariid genera Azoriella Lopez-Gonzalez & Gili, 2001 and Cervera Lopez-Gonzalez et al., 1995. As this and other recent studies have shown, discoveries of small stoloniferous octocorals are helping to fill gaps in our knowledge of the overall systematics of Octocorallia.
Climate impact on malaria in northern Burkina Faso
Authors: Tourre Yves M. , Vignolles Cécile , Viel Christian , Mounier Flore
Published: August 2019

The Paluclim project managed by the French Centre National d’Etudes Spatiales (CNES) found that total rainfall for a 3-month period is a confounding factor for the density of malaria vectors in the region of Nouna in the Sahel administrative territory of northern Burkina Faso. Following the models introduced in 1999 by Craig et al. and in 2003 by Tanser et al., a climate impact model for malaria risk (using different climate indices) was created. Several predictions of this risk at different temporal scales (i.e. seasonal, inter-annual and low-frequency) were assessed using this climate model. The main result of this investigation was the discovery of a significant link between malaria risk and low-frequency rainfall variability related to the Atlantic Multi-decadal Oscillation (AMO). This result is critical for the health information systems in this region. Knowledge of the AMO phases would help local authorities to organise preparedness and prevention of malaria, which is of particular importance in the climate change context.
A conceptual framework for designing Ambient assisted living services for individuals with disabilities in Uganda and South Africa
Authors: Kyazze Michael , Wesson Janet , Naudé Kevin
Published: August 2019

Background: Individuals with disabilities experience difficulty in using various everyday technologies such as computers and smartphones.Objectives: To propose a conceptual framework that will lead to the development of practical and user friendly assistive technology.Method: A literature review of challenges faced by individuals with physical disabilities was carried out. Interviews with adults with physical disabilities in Kampala, Uganda, and Port Elizabeth, South Africa, identified three main challenges with regard to using technology: using a mobile phone, controlling an electronic environment and using a computer.Results: The challenges identified can be solved by taking into consideration the needs of individuals with disabilities. However, the design of new technologies and interaction techniques, such as natural hand gestures and voice, as input mechanisms has able-bodied individuals in mind. Individuals with disabilities are considered as an afterthought. The main reason for this is that individuals with a disability are a minority and hence it may not make economic sense for technology innovators to cater for their unique needs. A lack of practical guidelines on how to design for individuals with disabilities is another reason why designing for individuals with disabilities is often an afterthought.Conclusion: This article proposes a conceptual framework that can be used by researchers and technology designers in order to design products that could cater for the unique needs of individuals with disabilities. The article also emphasises the importance of exploring alternative interaction techniques, as they could enable individuals with disabilities to fully utilise technologies such as smart phones, computers and smart home electronics.
Editorial
Authors: Davids L. M.
Published: August 2019

No abstract available
Psychological adjustment to injury and acute trauma
Authors: Schomer Hein H.
Published: August 2019

Man lives in an ever-changing environment. To maintain a relative state of psychological homeostasis essential for optimal functioning man has to learn how to adapt effectively to the manifold demands made on him by the complex social system in which he lives in. For any adaptive behaviour to be maximally successful a person has to possess clear insights into his capacities, values and self-concept. A simple personality model is outlined to elucidate psychological adaptive behaviour processes and to illustrate what impact injury and acute trauma can have on a person’s functioning. In order to make treatment more incisive physiotherapists have to be aware of the psychological adjustments required to cope with injury and acute trauma. Implications are discussed.
Reactive Flows in Deformable, Complex Media
Authors: Gerritsen Margot , Pop Iuliu Sorin , Radu Florin Adrian , Wohlmuth Barbara
Published: August 2019

Many processes of highest actuality in the real life are described through systems of equations posed in complex domains. Of particular interest is the situation when the domain is changing in time, undergoing deformations that depend on the unknown quantities of the model. Such kind of problems are encountered as mathematical models in the subsurface, material science, or biological systems.The emerging mathematical models account for various processes at different scales, and the key issue is to integrate the domain deformation in the multi-scale context. The focus in this workshop was on novel techniques and ideas in the mathematical modelling, analysis, the numerical discretization and the upscaling of problems as described above.
Near-extremizers of Young’s inequality for Euclidean groups
Authors: Christ Michael
Published: August 2019

Any pair of functions that nearly realizes equality in Young's convolution inequality

\|f*g\|_s\le A \|f\|_p\|g\|_q

with sharp constant, for Euclidean groups, is close in norm to a pair that realizes equality.
Высшие копределы, производные функторы и когомологии
Authors: Ivanov Sergei Olegovich , Mikhailov Roman Valerevich , Sosnilo Vladimir Aleksandrovich
Published: August 2019

Развита теория высших копределов по категориям копредставлений. Показано, что различные гомологические функторы такие, как хохшильдовы и циклические гомологии алгебр над полем характеристики нуль, симплициальные производные функторы и гомологии групп, могут быть получены как высшие копределы некоторых простых функторов. Точная последовательность Конна, соединяющая хохшильдовы и циклические гомологии, получена с использованием этого подхода как следствие простой короткой точной последовательности. В качестве приложения развитой техники показано, что третий редуцированный $K$-функтор может быть определен как копредел второго редуцированного $K$-функтора, примененного к расслоенному квадрату копредставления алгебры. Также доказана формула типа Хопфа для четномерных циклических гомологий алгебры над полем характеристики нуль.
Библиография: 17 названий.
Providing Graduate Medical Education Orientation to Program Coordinators: A National Survey and Analysis
Authors: Shah Hemali , Naffouje Samer A. , Ejaz Aslam
Published: August 2019

Background

The role of a program coordinator (PC) in graduate medical education (GME) has become increasingly important.

Objective

We surveyed PCs nationwide to identify the predictors of better performance outcomes.

Methods

A 58-question survey focusing on metrics that could be used to measure administrative performance was submitted electronically to 1515 PCs. Preplanned analysis was conducted to determine the association between receipt of training and PC performance metrics.

Results

A total of 712 (47%) PCs responded to the survey completely. Most (59%, 422 of 712) were from university programs. Respondents reported having received only GME training (17%, 121 of 712), only peer training (15%, 106 of 712), or both (9%, 67 of 712). Of those who reported, 51% (366 of 712) with GME training and 99% (708 of 712) with peer training found that training was helpful. The PCs who received both GME and peer training reported better performance, including lower rates of delayed starts and graduations, higher rates of compliance in cases and work hour reporting, and higher levels of readiness for internal reviews, GME visits, and the Match. The PCs who received only peer training reported better performance than did those with only GME training. Self-reported factors associated with improved PC performance were having prior administrative experience (β = 0.201, P = .010) and being a PC for a longer time (β = 0.188, P = .027).

Conclusions

Having only GME training did not seem sufficient for an optimal PC performance. A combination of peer and GME orientation yielded the best administrative outcomes.