bluuebunny/crossref_metadata_2025 huggingface dataset:
Triple Frequency CPW Fed Fractal Antenna for Wireless Applications
Authors:   Department of E.C.E, University College of Engineering and Technology, Acharya Nagarjuna University, Guntur, A.P, India., Kumar* S.Ram , Prasad M.V.S. ,   Department of E.C.E, R.V.R&J.C College of Engineering, Guntur, A.P, India
Published: October 2019

A Triple Frequency CPW feed fractal patch antenna has been designed for the S and C band applications with the operating frequencies of 2.29GHz, 3.46GHz and 5.89GHz. Patch has been etched with slots in a periodic manner which led for the generation of triple band of resonance. Flame Retardant Glass epoxy is taken as substrate material which is having a thickness of 1.6mm and a 50Ω stripline has been used to excite the antenna. Fractal technique has been implemented to attain the triple frequency of operation. The overall dimension of the antenna is 60mm×60mm×1.6mm. The Proposed antenna is having resonance which is covering the S and C band frequencies with a return loss value less than -10dB for entire bandwidth. Commercially available 3D simulator Ansys HFSS software has been used to design the proposed antenna.
Pre-processed Hierarchical Clustering for Time Series Data Streams
Authors:   PG & Research Department of Computer Applications, Hindusthan College of Arts and Science, Coimbatore, India, Kavitha* Dr.V. , Kumar Dr.A.V.Senthil ,   PG & Research Department of Computer Applications, Hindusthan College of Arts and Science, Coimbatore, India, Revathy Dr.N. ,   PG & Research Department of Computer Applications, Hindusthan College of Arts and Science, Coimbatore, India, Nesa Kumar Mr.C.Daniel ,   PG & Research Department of Computer Applications, Hindusthan College of Arts and Science, Coimbatore, India, Hemashree Mrs.P. ,   PG & Research Department of Computer Applications, Hindusthan College of Arts and Science, Coimbatore, India
Published: October 2019

The behaviour of the human body is based on the signals of chemical, electrical origin. These signals afford information that may not be directly perceptible but some information is hidden in the structure of the signal. These hidden signal information has to be translated in some way before the signals can be given useful analysis. The transformation of human body signals has been discovered useful in explaining and identifying various pathological conditions. The process of transformation is comfortable to perform since involves a limited manual effort like visual investigation of the signal generated as a result. In spite of these signals with their complexity is often considered and consequently biomedical signal processing has become an essential task for extracting significant clinical information hidden from the original signal[1]. Time series data streams constitute numerous dimensions and noisy features. Therefore, detecting the original clusters in high dimensional noisy features time series data stream is a dispute task. The challenging task involved in time series data stream are noisy and high dimensional. The existing technique is incapable of handling noisy high dimensional data stream. The most important key objective of this research part is to develop a novel pre-processing feature selection technique for discarding the noisy data is a vital successful process. Therefore this technique achieves minimum time complexity. Pre-processing feature selection is an established technique to deal with the time series data stream with noisy and high dimensional [3]. Furthermore, this innovative feature selection approach is boost up the cluster process without noisy and also it accomplishes the quality clusters with minimal time interval.
Automated System for Buying products through IoT Commerce
Authors:   Pacific Academy Of Higher Education And Research University, Udaipur, India., Kolhe* Likhesh , Jetawat Dr. Ashok Kumar ,   Computer Engineering, Pacific Academy Of Higher Education And Research University, Udaipur, India., Khairnar Dr. Vaishali ,   IT Department, Terna Engineering College, Navi Mumbai, Maharashtra, India
Published: October 2019

IoT commerce is the Internet of thing commerce in which buying and selling of products take place in automize way. IoT Commerce plays a vital role in the field of Internet commerce. IoT commerce is going to capture the market in 2022, and the whole world is becoming dependent on IoT commerce. So it is necessary to implement a method where prediction in IoT commerce takes place. In our research, we have implemented a method where buying and selling of products take place in an automated way. If server issue or network problem arises in this case by applying prediction techniques automatically product is delivered to the customer on time. The final result is the successful delivery of the product to the customer. For acquiring prediction results we have used linear regression technique. Where on the basis of previous data in the absence of network automatically order is placed on website and product will be delivered.
An Intelligent Stingless Bee System with Embedded IoT Technology
Authors:   School of Informatics & Applied Mathematics, Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu, Malaysia., Man* Mustafa , Abu Bakar Wan Aezwani Wan ,   Faculty of Informatics & Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia., Abdul Razak Muhammad Azri Bahruddin Bin ,   School of Informatics & Applied Mathematics, Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu, Malaysia.
Published: October 2019

Stingless bee is one of the bees that produce expensive honey because stingless bee only produces less than 1kg honey per year. Due to improper management and security been imposed, stingless beehive is continuously been targeted by thief for its valuable honey production. The bee farmer also is facing difficulty in tracking and monitoring the number of their beehives that are scattered in certain area in their farm. Taking serious consideration on a good quality of honey production, temperature is the major issues to concern. Honey production can be affected by extreme temperature. When the temperature is too high, the stingless bees become irritable or contradictory, when temperature is too low, the stingless bees become motionless. Therefore, the need for continuously tracking and monitoring of the beehive is crucial to conserve the quality honey production. The objective of the research is to analyze the suitable temperature for bee productivity. Next is to design a system that gives ability for the bee farmer in monitoring of their bee hive from anywhere and anytime via web based. This paper presents the development of an IOT technology in our targeted stingless beehive system at Nature n Trigona Garden, a stingless bees company in Kemaman, Terengganu, Malaysia. We develop a device which is coded using Arduino IDE 1.8.9 underlying with a sensor and microcontroller with a low battery powered, and installed at each particular beehive. The results shows that our design and implementation of the IOT devices in each beehive has achieved a success. The main contribution of this research is such that the bee farmer is able to monitor their beehive in real time as well as the system can trigger notification to user when any abnormal incidents happens to their hive.
Demonetization Effect on Agriculture Sector - Problems and Prospects
Authors:   Associate Professor, Dept. of MBA,Sree Vidyanikethan Institute of Management [SVIM], A.Rangampet,Tirupati, Murthy Dr.D.Sudarsana , Narasaiah Dr.P.V. ,   Professor, Dept. of Commerce, SV University, Tirupati, Chavan Roma ,   Research Scholar, JNTUA & Assistant Professor, Dept. of MBA, Golden Valley Integrated Campus, Madanapalle , AP
Published: October 2019

Agriculture in Indian, economy shares around 50 per cent of the workforce. Farmers, who are considered as the backbone of our national economy, were sternly affected by the currency note demonetization of Indian economy. Most of the farmers who are availing loans from cooperative banks have no cash reserves to supply them. With this effect farmers were not able to buy seeds, fertilizers and other required things for farming on time. It took almost 8 weeks to resolve this issue. Till that time, farmers found it very difficult, they normally deal their transactions in cash. The cash transactions in our economy are extremely high when compared with the total number of electronic transactions carried on a daily basis. Most of the earlier studies emphasizes more about cashless payments and its advantages, Debit and Credit Cards using in retail sector, e-payments and their problems faced by the public in using plastic cards for payments etc., all these could not solve the shortage of currency in the country at a time. Eventhough there is no much difference in value and volume of currency i.e., the calculated values for the hypotheses formulated are 0.148 and 0.075 respectively, but the people were much more suffered due to the demonetization of currency by the Government due to that agriculture sector severely affected. The previous studies could not much focused on agriculture sector. Hence, this kind of specific study is highly needed in the context of demonetization. By using multi-stage random sampling technique 330 sample respondents were selected.
Performant Retrieval Image using Rectangular Mask and Combination of Color, Texture and Shape Descriptors
Authors:   Electronics Electrothecnic Automatic and information Processing laboratory, Faculty of Sciences Mohammedia, Morocco., Chifa* Nawal , Badri Abdelmajid ,   Electronics Electrothecnic Automatic and information Processing laboratory, Faculty of Sciences Mohammedia, Morocco.., Ruichek Yasine ,   CIAD Lab, UBFC, University of technology of Belfort-Montbeliard; 90010, France.
Published: October 2019

The evolution of computer technologies has led to the growth of digital images, which has made the search for similar images in this volume of data a very important research component. Since several works have proposed image search systems entitled CBIR (Content-Based Image Retrieval). This paper presents a new and powerful method for creating CBIR in order to improve the accuracy of search through visual content. The originality of our method lies in its invariance to the rotation of images queries. She consists of applying rectangular masks of different size on the image, and extracting the color descriptor from the visible region on the mask, and then combining the result descriptor to the Uniform Local Binary Pattern (ULBP) texture features and add canny edge features. We compare the query features to the extract ones, using metric distance. We evaluate our techniques using Corel1K and Ukbench dataset. The average precision measured gives good results comparing to the others existing retrieval systems.
Heat Distribution of Micro Turbocharger Cooling System for Motorcycle Application
Authors:   Electrical, Electronics and Automation Section, Universiti Kuala Lumpur, Malaysian Spanish Institute, Kulim Hi-Tech Park, Kedah, Malaysia, Radzak Mohamed Yusof Bin , Ibrahim Mohd Riduan Bin ,   Manufacturing Section, Universiti Kuala Lumpur, Malaysian Spanish Institute, Kulim Hi-Tech Park, Kedah, Malaysia, Shaffee Khairul Shahril Bin ,   Mechanical Section, Universiti Kuala Lumpur, Malaysian Spanish Institute, Kulim Hi-Tech Park, Kedah, Malaysia
Published: October 2019

The heat produced in turbocharger has the potential to destroy the bearing system and the oil piston ring. For the past years, the researchers have focused on heat transfer of micro turbocharger. The lack of research on the cooling system of the turbocharger has motivated the author to publish this paper. In this paper, the electrical water pump with air blower is used to reduce the heat effect. The impact of adding electric water pump o heat distribution on turbocharger has been discovered by conducting experimental research. The experimental research was conducted on one cylinder, two-stroke with Lifan engine 160 cc equipped with the turbocharger. The temperatures of the turbine, bearing housing, coolant inlet and outlet are measured and analyzed in this turbocharged engine test rig.
Multi-Response Optimization of Process Parameter in Fused Deposition Modelling by Response Surface Methodology
Authors:   Advanced Manufacturing Centre, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia, and Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia., Kasim* Mohd Shahir , Harun Nurul Hatiqah ,   Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia., All Hafiz Mohammad Shah ,   Advanced Manufacturing Centre, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia, and Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia., Mohamed* Saiful Bahri ,   Fakulti Reka Bentuk Inovatif dan Teknologi, Universiti Sultan Zainal Abidin, Kampung Gong Badak, 21300 Kuala Terengganu, Terengganu, Malaysia., Mohamad W Noor Fatihah W. ,   Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia and Fakulti Reka Bentuk Inovatif dan Teknologi, Universiti Sultan Zainal Abidin, Kampung Gong Badak, 21300 Kuala Terengganu, Terengganu, Malaysia.
Published: October 2019

This paper reported on the effect of ambient temperature, layer thickness, and part angle on the surface roughness and dimensional accuracy. The response surface methodology (RSM) was employed by using historical data in the experiment to determine the significant factors and their interactions on the fused deposition modelling (FDM) performance. Three controllable variables namely ambient temperature (30 °C, 45 °C, 60 °C), layer thickness (0.178 mm, 0.267 mm, 0.356 mm) and part angle (22.5°, 45°, 67.5°) have been studied. A total of 29 numbers of experiments had been conducted, including two replications at the center point. The results showed that all the parameter variables have significant effects on the part surface roughness and dimensional accuracy. Layer thickness is the most dominant factors affecting surface roughness. Meanwhile, the ambient temperature was the most dominant in determining part dimensional accuracy. The responses of various factors had been illustrated in the cross-sectional sample analysis. The optimum parameter required for minimum surface roughness and dimensional accuracy was at ambient temperature 30 °C, layer thickness 0.18 mm and part angle 67.38°. The optimization has produced maximum productivity with RaH 3.21 μm, RaV 11.78 μm, and RaS 12.79 μm. Meanwhile, dimensional accuracy height eror 3.21%, width error 3.70% and angle 0.38°.
Basketball Tracking using Mean Shift Algorithm
Authors:   M.Tech degree in Computer Science & Engineering From Madras University and Bharath University, Chennai, Tamil nadu India., Margarat* G.Simi , Sivasubramanian S. ,   M.Tech. degree in Computer Science & Engineering From Madurai Kamaraj University,Madurai and Bharath University ,Chennai, Tamil nadu. India
Published: October 2019

Video analysis plays a vital role in commercial application, sports and military systems. Various methods are presented in literature. Mean shift algorithm is presented in this paper for basket ball tracking because it is more efficient than other that is defined by histograms. The tracking is the important block in the detection and recognition of the basket ball. Different object tracking algorithms are investigated. The performance of tracking in two video sequences is performed and the method gives 91.3% precision for video sequence 1 and 93.6% for sequence 2.
Microcontroller Based Money Card Sorter with Pre-online Application Feature
Authors:   De La Salle University Manila, 2401 Taft Avenue Manila, Philippines., Lim* Nenita Ivy A. , Ng Sernina S. ,   De La Salle University Manila, 2401 Taft Avenue Manila, Philippines., Tapay Hazelle L. ,   De La Salle University Manila, 2401 Taft Avenue Manila, Philippines.
Published: October 2019

This research is on the development of a microcontroller-based sorter of Money Cards together with an online application for the Money Cards as well. The sorter has 8 divisions in order to simulate the 8 areas in Metro Manila to where the cards will be sent to. The 8 areas are composed of the 7 areas in the South Metro Manila and 1 area composing of all the areas belonging to the North metro Manila. The website of the online application contains the necessary fields for the application of the Money Card. The sorter has a barcode reader. Each card has a barcode sticker corresponding to one of the 8 areas of the sorter. In addition, this barcode sticker corresponds to the information based on the online application where the cards will be sent that is specified by the user. The barcode reads the sticker on the cards and then sorts it accordingly to the correct corresponding divisions of the sorter.
Effect of Polypropylene (PP) Geo-Fabric Reinforcement in Brick Masonry under Axial Loads
Authors:   Department of Civil Engineering, Jyothy Institute of Technology, Bangalore, India., K.S* Sreekeshava , Arunkumar Dr.A.S ,   Department of Civil Engineering, BMS College of Engineering, Bangalore, India.
Published: October 2019

The brick masonry is used in a wide range as an infill material in reinforced concrete (RC) frames. In general masonry infill (MI) are treated as non-structural elements and ignored in many structural designs, But the contribution of infill under lateral loads shows the better performance and contribution to strength and stiffness of RC frames. The stiffness of masonry controls the failure of MI and plays a significant role under lateral loads. Masonry is a brittle material and exhibits poor performance under shear and flexure. The Geo-fabrics are used as tensile property enhancing materials in many infrastructural works. The prime focus of this work has been focused to make brick masonry to more stiff by compositing the polypropylene geo-fabric at parallel to mortar bed joint and perpendicular to mortar bed joints with the help of cementitious matrix. In this work, 18 numbers of 0.7m×0.7m×0.23m brick masonry wallets (6 wallets conventional + 6 wallets reinforced by PP Geo-fabric parallel to bed joint + 6 wallets reinforced on the face of the wallet with cementitious matrix) are subjected to load bearing test and Diagonal Compression. The experimental results under both the test were compared with normal conventional specimens. The results showed that better performance with PP geo-fabric reinforced specimen compared with conventional masonry wallets.
A Master Slave Parallel Genetic Algorithm for Feature Selection in High Dimensional Datasets
Authors:   Department of Computer Science and Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi-110006, India., Tatwani* Shaveta , Kumar Ela ,   Department of Computer Science and Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi-110006, India.
Published: October 2019

Feature Selection in High Dimensional Datasets is a combinatorial problem as it selects the optimal subsets from N dimensional data having 2N possible subsets. Genetic Algorithms are generally a good choice for feature selection in large datasets, though for some high dimensional problems it may take varied amount of time - few seconds, few hours or even few days. Therefore, it is important to use Genetic Algorithms that can give quality results in reasonably acceptable time limit. For this purpose, it is becoming necessary to implement Genetic Algorithms in an efficient manner. In this paper, a Master Slave Parallel Genetic Algorithm is implemented as a Feature Selection procedure to diminish the time intricacies of sequential genetic algorithm. This paper describes the speed gains in parallel Master-Slave Genetic Algorithm and also discusses the theoretical analysis of optimal number of slaves required for an efficient master slave implementation. The experiments are performed on three high-dimensional gene expression data. As Genetic Algorithm is a wrapper technique and takes more time to find the importance of any feature, Information Gain technique is used first as pre-processing task to remove the irrelevant features.
An Improved Outlier Detection Mechanism for Hierarchical Key Management in Hierarchical Mobile Ad-hoc Networks (MANETs)
Authors:   School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India., Chugh* Neeraj , Jain Saurabh ,   School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India., Kumar Adarsh ,   School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India., Aggarwal Alok ,   School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India., Ahuja Neelu Jyoti ,   School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India.
Published: October 2019

The purpose of this paper is to present an outlier detection mechanism for hierarchical key management which utilizes hybrid (public and private) key management scheme for implementing lightweight cryptographic primitives in hierarchical MANETs. Further, a comparative analysis of key management schemes is to be performed for identifying an efficient key management scheme for hierarchical MANETs. In key management methods, public and private group key management schemes are integrated at local level (subgroup) and global level (network). These key management schemes uses various topologies for minimizing communicational and computational costs. After implementing an efficient key management scheme, outliers in network are identified using packet analysis at key generation, key distribution, message transmission and key re-generation phases. It is observed that Teo and Tan key management approach with shamir’s threshold key distribution mechanism is an efficient approach key management scheme for group authentication and hierarchical key management. Further, a minimum improvement of 9.7% and 0.91%, and maximum improvements of 25.3% and 87.7% are observed for Packet Delivery Rate (APDR) and Average Throughput (AT) respectively in a network of 1000 nodes. The proposed method requires four sequential analysis of outlier detection schemes at different layers of MANET protocol stack because single scheme per layer is not efficient in identifying outliers in proposed network. The proposed key management method is useful for MANETs in group authentication and implementation of lightweight cryptographic primitives with secure key. Further, outlier detection mechanism can be extended for identifying various active and passive attacks.
The Application of CBA and SUG Model for Improving The Quality of Indonesian Navy Human Resources
Authors:   Indonesian Naval Technology College, STTAL, Surabaya Indonesia, Ahmadi  , Herdiawan Didit ,   Indonesian Naval Technology College, STTAL, Surabaya Indonesia
Published: October 2019

Indonesia is a maritime nation with 75 % or 5.8 million square kilometers of its area is covered by the sea, including the Indonesian Exclusive Economic Zone / IEEZ and three Indonesian archipelagic sea lanes; Malacca Strait, Sunda Strait, and Lombok Strait affirm Indonesia as the most strategic geographical position. The Indonesian people feel so pathetic to witness the current condition in Indonesian waters since there are many crimes, especially law violations that occurred in the Indonesian maritime territory that could lead to a prolonged polemic and hampers the efforts to build national unity. Ideally, maritime security should be safely guaranteed, meaning that the sea can be controlled, safely used by the users and is free from the threat or disruption to sea-based activities. This research explains about how to improve the quality of the Indonesian Navy personnel human resources serving in Maritime Security Operations Sector through analysis of CBA (Cost and Benefit Analysis) and SUG (Seriousness, Urgently and Growth) Model. The result of this research is improving knowledge and insights of Indonesian Navy personnel on legal matters, particularly maritime security law is very important to endorse the implementation of the vision and mission of the navy.
Development of Real Time Power Quality (RTPQ) Analyzer using Lab-VIEW
Authors:   Assistant Professor, Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamilnadu, India., Bhavani* R. , Ananthakumaran Dr.S. ,   Associate Professor, Department of Computer Science and Engineering,, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: October 2019

Power Quality (PQ) issues and its alleviation techniques are becoming one of the vital research topics, soon after the integration of power electronic devices in power system. The non-linear nature of equipment’s introduces PQ issues such as voltage sag, swell, harmonics, unbalance and transients etc. and cause damage of end user equipment’s. Poor PQ has become a vital issue which affects production and profit of both utilities and consumers. Therefore continuous monitoring and assessment of PQ is essential for finding optimal solution to analyze and mitigate various PQ problems and also maintain quality of power within the prescribed limit. For PQ analysis, it is very difficult to generate power quality events in real life in order to observe the effects or to study their characteristics. Now days, various physical PQ analyzers are available in market to continuously monitor, analyze and record PQ problems. The major drawback of this analyzer is its hardware design, complexity and its cost which limits its usage to many places. Thus online PQ monitoring is a very big challenge for researches. This paper presents modeling and simulation of virtual PQ analyzer using Lab VIEW. Lab VIEW supports a lot of library functions for an acquisition, analysis of data and also the control of instruments. This software is mainly used to model standard real instruments used in laboratories by providing more flexibility. The proposed PQ analyzer is capable of generating, identifying various PQ problems and also measuring PQ parameters RMS Voltage (Vrms), RMS Current (Irms), Total Harmonic Distortion (THD), Real, Reactive and Apparent Power from the test system. Using Lab VIEW software, a complete quality analysis of electric energy can be done online at the user's location. So that the selection of custom power devices and mitigation methods for PQ problems can be done in a perfect manner. This RTPQ analyzer is tested using real time data of hardware are acquired by the construction of test systems such as rectifier with various resistive and inductive loads. ALL PQ parameters measured using proposed PQ Analyzer are also compared with the parameters measured using fluke PQ Analyzer. The response attained has proven that the accuracy and precision of the proposed analyzer can also be used as a very good cost effective tool for online PQ study.
Optimised Environmental Data Acquitisation Technique for Monitoring Air Quality and Crop Plantation for Developing a Smart City using LoRa Network
Authors:   Department of Electronics and Communication, Ballarpur Institute of Technology Ballarpur, India, Agrawal Twinkle H. , Kuntawar Assi. Prof. Sunil V. ,   Department of Electronics and Communication, Ballarpur Institute of Technology Ballarpur, India
Published: October 2019

Movements in low power and simplicity estimation and correspondence development have gotten a disturbed remote distinguishing and checking applications. Starting at now, there are many battling checks and advances trying to take a hold of WSN, especially the zone of remote identifying and correspondence development. LoRa Network is one of these progressions getting omnipresence in the utilization of Wireless Sensor Networks (WSNs). The limit of LoRa Network to develop correspondence interfaces over long detachments with by and large essential centers; irrelevant establishment, low power requirements and use of license free ISM gatherings give it a broad edge of its adversaries. Notwithstanding the way that a lot of research work has been done about the ampleness of LoRa Network for low power remote sensor frameworks, there are still openings in the expounding on the sensible pieces of structure and execution of such systems. This endeavor revolves around issue of realizing a constrained sensor arrange for a sharp air quality examination and yield domain system for a splendid city application using LoRa Network as the central correspondence development. A structure for checking air nature of the earth and yield bequest is executed using negligible exertion game plans available in the market. This task likewise has application in yield ranch. Soil dampness, temperature, mugginess of the dirt is noted so that if soil's water level goes down or ends up overabundance it will hurt the yields. So to keep up the water prerequisite sensors are set in soil and lora innovation is utilized for information transmission.
Behaviour of Horizontal Connections in Precast Walls under Lateral Loading
Authors:   School of Mechanical & Building Sciences, Vellore Institute of Technology, Chennai, India, K* Karthikeyan , Santhi M Helen ,   School of Mechanical & Building Sciences, Vellore Institute of Technology, Chennai, India, C R Chidambaram ,   School of Mechanical & Building Sciences, Vellore Institute of Technology, Chennai, India.
Published: October 2019

The design of connections is one of the most important considerations in the structural design of precast concrete structures. The purpose of the connection is to transfer loads, restrain movement and provide stability. Within one joint there may be several load transfers, each one must be designed for adequate strength and ductility and appropriately detailed. The proposed investigation aims to achieve efficient horizontal connections in precast walls with improved structural performance under various loads. HYSD reinforcement dowels are used as connectors. The arrangement of dowels is varied to achieve the efficient load transfer in the walls. The experimental investigation on three precast wall and one monolithic wall depicts that the precast wall exhibits high strength than the monolithic wall specimen and structural performance were found to be better than the monolithic wall specimen and also the efficient load transfer is achieved in the precast wall.
Performance Evaluation of Bituminous Concrete Mixes Modified with SBS Polymer and Warm mix Additive
Authors:   Research Associate, Ministry of Road Transport & Highway- IIT Roorkee, Delhi, India., Singh* Harpreet , Chopra Tanuj ,   Associate Professor, Civil Engineering Department, Thapar University, Patiala, India., Kamotra Sahil ,   Assistant Professor, Himalyan Institute of Technology (H.P), India,, Jain Sambhav ,   Assistant Professor, Amity University Haryana, India., Kaur Amandeep ,   Military Engineering Service, Leh, India.
Published: October 2019

The main objective of this study was to investigate the effect of SBS polymer and warm mix additive on the performance of bituminous concrete mixes. SBS polymer dosage was kept 3%, 5% and 7% and Zycotherm additive dosage was kept 0.1% for all binder mixes. Comparisons were made between Base bitumen, SBS modified bitumen and Zycotherm modified bitumen. For preparation of bituminous mixes, two different types of aggregates were used in this study i.e. Limestone and riverbed aggregate. To evaluate the performance of modified binder; Marshall Stability test, Indirect Tensile Strength (ITS) test and Rheological test were performed on binders and bituminous concrete mixes. From Marshall Stability test, SBS dosage of 5% was found to be optimum polymer content for both aggregate mixes. Maximum tensile strength for both the aggregate bituminous mixes was achieved at 5% SBS content. It was observed that maximum Marshall Stability was achieved when Limestone aggregates were used for preparation of bituminous mixes. Zycotherm additive does not have any significant effect on the properties of bituminous concrete mixes. However Zycotherm additive tends to decrease viscosity of binder at a temperature above 100 ˚C which will result in lower mixing temperature without compromising the performance of bituminous binder. Rheological test on different binders has shown that Zycotherm additive has very less affect on rutting resistance of modified bitumen. It was finally concluded that best results were obtained from Limestone aggregates using 5% of SBS polymer and Zycotherm additive has no significant effect on mechanical properties of mix.
One-Stage Logo Detection Framework using AdaBoost Resnet50 Backbone
Authors:   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia., Sarwo*  , Heryadi Yaya ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Budiharto Widodo ,   Computer Science Study Program, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Abdurachman Edi ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Published: October 2019

Logo is an important asset as it is designed to express identity or character of the company or organization that owns the logo. The advent of deep learning methods and proliferated of logo images sample dataset in the past decade has made automated logo detection from digital images or video an interesting computer vision problem with wide potential applications. This paper presents a novel one-stage logo detector framework in which the backbone of the proposed logo detector is a deep learning model which is trained supervisedly using gradient descent training algorithm and the target logo classes as input dataset. The experiment results showed that AdaBoost Resnet50 (0.58 MAP) as the logo detector backbone outperforms Resnet50 (0.56 MAP), VGG19 (0.32 MAP), and AdaBoost VGG19 (0.56 MAP).
Depresión en pacientes con diabetes tipo 2 que acuden a una consulta externa de Medicina Interna
Authors: ANTUNEZ MORAIMA , BETTIOL MENEGALDO ADRIANNA ANTONIETTA
Published: October 2019

INTRODUCCIÓN: Las personas con diabetes pueden desarrollar cualquier síndrome psiquiátrico, siendo los más comunes la ansiedad y la depresión, esto debido al impacto social que produce esta enfermedad. Estando muy relacionada con los estilos de vida del individuo, cambios en el entorno social, apego o no a tratamiento, aceptación de enfermedad.

OBJETIVOS: Determinar la frecuencia de depresión en los pacientes diabéticos tipo 2 que acuden a la consulta externa de Medicina Interna del Hospital Central de San Cristóbal (Táchira, Venezuela) y brindar evidencia sobre la asociación con características demográficas y clínicas.

MATERIALES Y MÉTODOS: Se realizó un estudio observacional, prospectivo, descriptivo y tranversal donde se incluyeron 100 pacientes con diagnóstico de Diabetes Mellitus tipo 2, durante el tiempo comprendido entre Marzo a Octubre del año 2013, a quienes se les aplicó el Inventario de Beck para diagnóstico de Depresión. Se procesaron los datos mediante el paquete estadístico Epi Info Versión 7. Se realizaron cálculos mediante estadística descriptiva e inferencial.

RESULTADOS: La frecuencia de depresión en los pacientes diabéticos tipo 2 fue de 82%, porcentualmente mayor en sexo femenino (59,76%), encontrándose asociación estadísticamente significativa entre depresión y grupo etario 39 a 48 años (p=0,014043), estado civil soltero (p=0,048476), sin ocupación actual (p=0,033012), con complicaciones crónicas de la diabetes (p=0,0005378911); y tratamiento hipoglicemiante oral (p=0,0098842716) y con el uso de insulina (p=0,0430326871).

DISCUSION: Existe alta prevalencia de depresión en pacientes diabéticos tipo 2, mayormente asociada a sexo, grupo etario, estado civil, complicaciones crónicas y tipo de tratamiento.
Síndrome del Corazón Roto.
Authors: Ñañez Paz Julian Dario
Published: October 2019

Mujer de 63 años con historia de Enfermedad Pulmonar Obstructiva, consulta al servicio de urgencias por cuadro de tos húmeda y disnea progresiva. La radiografía de tórax evidencia derrame pleural bilateral. El análisis del líquido pleural es compatible con un exudado y la citología reporta hiperplasia mesotelial. Después del procedimiento, la disnea empeora. La radiografía de control muestra un neumotórax derecho, razón por la cual se realiza toracostomia cerrada. El electrocardiograma muestra inversión de la onda T a nivel de la pared anteroseptal asociado a una rectificación del segmento ST a nivel de las derivaciones V2, V3 y V4 (Figura 1). La angiografía coronaria revela arterias coronarias sanas y la ventriculografía, hipercontractilidad de los segmentos basales con abalonamiento del ápex (Figura 2), imagen compatible con miocardiopatía de stress. También conocido como síndrome de Tako – tsubo o del “corazón roto”, una rara condición que simula infarto agudo de miocardio.
Revascularización del vaso culpable versus completa en enfermedad de múltiples vasos en infarto agudo de miocardio con elevación del segmento ST: meta-análisis de ensayos clínicos
Authors: Senior Juan Manuel
Published: October 2019

Revascularización del vaso culpable versus completa en enfermedad de múltiples vasos en infarto agudo de miocardio con elevación del segmento ST: meta-análisis de ensayos clínicos.

Introducción. Se ha recomendado que en los pacientes con infarto agudo de miocardio con elevación del segmento ST se realice revascularización percutánea solo del vaso culpable.

Objetivos. Evaluar el efecto de la revascularización percutánea solo del vaso culpable en comparación a la completa, en pacientes con infarto agudo de miocardio con elevación del segmento ST de menos de 12 horas de evolución para disminuir desenlaces críticos.

Materiales y Métodos. Se realizó una búsqueda sistemática en las bases de datos bibliográficas, resúmenes de congresos de cardiología y búsqueda manual de los estudios primarios incluidos en otros meta-análisis, de ensayos clínicos con asignación aleatoria de pacientes con infarto agudo de miocardio con elevación del segmento ST de menos de 12 horas de evolución.

Resultados. La estrategia de revascularización percutánea completa no aumenta la mortalidad de cualquier causa RR 0,78 (IC 95% 0,44-1,39); ni la de origen cardiovascular RR 0,62 (IC 95% 0,27-1,44), y reduce la frecuencia de reinfartos RR 0,39 (IC 95% 0,2-0,76) y la frecuencia de reintervenciones RR 0,45 (IC 95% 0,31-0,65) en los pacientes con infarto agudo de miocardio con elevación del segmento ST, que se presentan durante las primeras 12 horas de evolución

Conclusiones. En pacientes con infarto agudo de miocardio con elevación del segmento ST, quienes se presentan en las primeras 12 horas, la revascularización competa en enfermedad multivaso es segura y disminuye la frecuencia de eventos como reinfarto y necesidad de reintervención.
Descripción clinicopatológica de las enfermedades renales diagnosticadas mediante biopsia en un centro único del departamento del Tolima, Colombia.
Authors: Coronado Suescún Carlos Yesid , Echeverry López Ivonne Natalia
Published: October 2019

Objetivo: describir la patologia glomerular y tubulointersticial diagnósticada por biopsia y su correlación clínica en un único centro del departamento del Tolima, Colombia.

Material y métodos: estudio descriptivo de pacientes con edad mayor o igual a 14 años atendidos en un centro único de la ciudad de Ibagué entre 1999 y 2014. La recolección de datos se realizó mediante la revisión de las historias clínicas y de reportes de biopsia. Se clasificó la presentación clínica como: proteinuria nefrótica, proteinuria no nefrótica, síndrome nefrítico, hematuria monosintomática, enfermedad renal crónica, insuficiencia renal aguda.

Resultados: 181 pacientes cumplieron los criterios de inclusión. Todas las biopsias fueron estudiadas con inmunohistoquímica y el 97.24% se estudió con microscopia electrónica. La edad promedio fue 36.93 ± 13.87 años y el ragno de edad fue de 14 a 74 años. La creatinina promedio fue 1.52 ± 0.93 mg/dl con un valor mínimo de 0.49 mg/dl y un valor máximo de 5.2 mg/dl. La indicación más frecuente de biopsia renal fue proteinuria no nefrótica 67 casos (37.02%), y proteinuria nefrótica 66 casos (36.46%). La nefropatia secundaria más frecuente fue lupus. La causa primaria más frecuente de síndrome nefrótico fue glomerulonefritis membranosa y la causa primaria más frecuente de proteinuria no nefrótica fue glomeruloesclerosis focal y segmentaria.

Conclusiones: la causa más común de glomerulopatia secundaria fue lupus, y las glomerulopatias primarias más frecuentes fueron glomerulonefritis membranosa y glomeruloesclerosis focal y segmentaria, similar a otros estudios. La nefropatia Ig A fue poco frecuente (5.52%).
PENGARUH PENGALAMAN, KEPERCAYAAN, CITRA TERHADAP LOYALITAS MEREK DAN DAMPAKNYA TERHADAP SIKAP KONSUMEN PADA PERLUASAN MEREK OBAT FLU DAN BATUK
Authors: Handoyo Handono
Published: October 2019

The pharmaceutical sector in Indonesia has grown by 12.5% per year, as prescriptiondrugs, Over the Counter (OTC) medicines and dietary supplements (nutrition and vitamins) allexperience increased sales. Bodrex is one type of over-the-counter medication to overcome theheadache that has been well known and believed for more than 45 years by the people in Indonesiaand then innovate manufacturers to expand the brand by launching Bodrex Flu and Cough.IMS datamarket shared Flu and Cough drug of Bodrex sales decline every year ie in 2013 amounted to 1.10%,in 2014 amounted 0.89% and in 2014 amounted to 0.84%. The purpose of this research was todetermine the effect of marketing mix composed of product, price, promotion and place of the brandloyalty so that the impact on consumer brand extension attitude. Questionnaire with closed questionsare used as design research instrument, and as many as 200 respondents were sampled in theresearch. Methods of SEM (Structural Equation Modeling) is used as a technique of data analysis,SPSS 16 and Lisrel 8.7 for windows was used to analysis the data obtained after the research. Theresearch shows that the experience, trust and image simultaneously influence the brand loyalty sothat the impact on consumer brand extension flu and cough drug eligible Goodness of fit. Partiallybrand experience significantly influence brand loyalty with t values 2.12. Partially Brand Trustaffects loyalty because it has a t value of 0.97. Partially Brand Image significant effect on purchasingdecision because have value 2,93.Secara Partial Loyalitas significant influence to ConsumerAttitude on Brand Extension because have value 11,11.
PENGARUH E-BANKING, KUALITAS PELAYANAN, KUALITAS KOMUNIKASI, TERHADAP KEPERCAYAAN MELALUI LOYALITAS NASABAH PADA PT BCA KCP PANTAI INDAH KAPUK JAKARTA BARAT
Authors: Rosiana Nindya
Published: October 2019

The purpose of this study is to fing out how much influence e-banking, the quality of service,the quality of communication, trust, of customer loyalty at PT. Bank Central Asia Subbranch OfficePantai Indah Kapuk Jakarta. The type of this research is survey. This research data was collectedfrom 125 customers of PT. Bank Central Asia Subbranch Office Pantai Indah Kapuk Jakarta questionwere given by using quetionnaires which consist of closed question. Respondent's answers to closedquestion about the variables studied in this study then in the analysis of Structural EquationModelling using AMOS 6.00 program. From the results of research shows that the e-banking variable(X ) has no significant effect on trust (Z). Variable of service quality (X ) have significant effect on 1 2trust (Z). The communication quality variable (X ) has no significant effect on trust (Z). The e- 3banking variable (X ) has no significant effect on customer loyality (Y). The communication quality 1variable (X ) has no significant effect on customer loyality (Y). The e-banking variable (X ) has no 3 1significant effect on service quality (X ). The service quality variable (X ) have significant effect on 2 2communication quality (X )
PENGARUH SOSIALISASI PAJAK, PELAKSANAAN SANKSI DENDA, DAN PELAYANAN FISKUS TERHADAP KEPATUHAN WAJIB PAJAK DALAM MELAPORKAN SPT TAHUNAN PPH ORANG PRIBADI
Authors: Solehudin Mohammad
Published: October 2019

The aims of this research is to determine how socializing influence of tax, penalties andimplementation of service tax authorities on tax compliance in the annual report PPh such as aprivate person either partially or simultaneously or jointly on individual taxpayers who havebusiness or work freely in the district KPP Pratama Kebon Jeruk Satu. This research uses samplerandom sampling and for the types of data uses primary and secondary data types. The primary datasource is obtained directly from the individual taxpayer who has a business or performs listed have aNPWP in KPP Pratama Kebon Jeruk Satu. While secondary data such as the number of individualtaxpayers who registered have income from business or work freely. Independent variables used aretax dissemination, implementation of financial penalities, and service tax authorities. The dependentvariable in this research is the taxpayers compliance. Testing in this research using SPSS 21.0. Theresults of the research showed that the socialization of tax, penalties implementation, and service taxauthorities partially significant effect on tax compliance and simultaneously have a significantimpact also on tax compliance. Implementation of penalties is the most dominant variable or aneffect on tax compliance in reporting SPT Personal Income Tax.
MELIHAT RASIO RENTABILITAS DARI SUDUT PANDANG GPM, NPM, ROE DALAM MENGUKUR KINERJA LAPORAN KEUANGAN PADA AJB BUMIPUTERA 1912 UNIT SYARIAH JAKARTA
Authors: Fauzi Achmad
Published: October 2019

AJB Sharia Bumiputera 1912 is a company engaged in services, namely join life insurance. Its production does not create goods but sell fund products and other services to customers.Methods of data collection is in the final observation, and literature with his analytical methods suchas qualitative analysis. One way to calculate the profits generated by the AJB Sharia Bumiputera1912 can be calculated by using the ratio. One ratio used is the ratio of profitability. In profitabilityratios are ratios such as: GPM (Gross Profit Margin), NPM (Net Profit Margin), ROE (Return OnEquity). To search for results ratio GPM (Gross Profit Margin) takes the total net profit income andoperating expense and the results of 2015 GPM already reached the standard ratio is 17,84%. As forcalculating NPM (Net Profit Margin) takes net income and operating income and the results of NPMin 2015 are 22,42% . And for calculating ROE (Return on Equity) required net income and equitycapital ans the results of ROE in 2015 are 20,15%.
Revista Ciencia Multidisciplinaria CUNORI 2019
Authors: Coy Cordón Edwin Filiberto
Published: October 2019

Para la actual administración del CUNORI es muy satisfactorio darle continuidad a este producto estratégico para la academia y la razón de ser de ésta: la creación y generación de conocimiento con su correspondiente divulgación, sociabilización, o puesta en común de lo que con no poco trabajo somos capaces de producir. Cada volumen editorial implica su propio esfuerzo y los lectores serán quienes juzguen los méritos y el nivel del logro alcanzado.