bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effects of Seasonal Thermal Loads at Expansion Joints Locations in Arabic Area Buildings
Authors:   Designer Structural Engineer, Faculty of Civil Engineering, University Teknologi Malaysia, Johor Bahru, Malaysia., Sydnaoui* Ikhlass , Mohamed Dr. Roslli Bin Noor ,   Faculty of Civil Engineering, University Teknologi Malaysia, Johor Bahru, Malaysia, Kadir Dr. Mariyana Aida Binti Ab. ,   Faculty of Civil Engineering, University Teknologi Malaysia, Johor Bahru, Malaysia.
Published: November 2019

Concrete buildings are subjected to fluctuation in seasonal temperature loads between summer and winter in the Arabic area. The long-term effects of such temperatures on concrete buildings, accompanied by the variation in ambient temperatures, induce thermal displacements and forces in concrete structures. The thermal forces and displacements influence over time the safety and functionality of the premises, while many cracks are imposed. This study investigates the effective response of reinforced concrete buildings considering thermal seasonal load fluctuations and long-term effects of creep and shrinkage in the Arabic area. In recent decades, structures without joints have become necessary. In order to use this option, super-long structures with a length of more than 60 meters must takes into account the impact of thermal load fluctuations in their design. A proper methodology must be provided to define the greatest permitted distance between expansion joints in addition to a clear process for buildings thermal study. Different approaches are provided by researchers, each methodology provides different values for required joints spacing considering different aspects in design. In this paper, I shall try to present three methods with a comparison study for considered aspects and gaps for each method analysis to propose the most appropriate methodology to support engineers in calculating the maximum allowed spacing between expansion joints
An improved PBMM Algorithm by Reduce Cloud Data Traffic and Transfer Costs in Cloud of Things
Authors:   School of Computer Science and Engineering in KIIT University, India,, Obaid* Abdulrahman Mohammed Hussein , Pani Santosh Kumar ,   School of Computer Science and Engineering in KIIT University, India, Pattnaik Prasant Kumar ,   School of Computer Science and Engineering in KIIT University, India
Published: November 2019

Cloud computing has been widely studied over the recent years. Researchers have developed different algorithms for improving the performance and minimizing the cost. This paper proposes a new algorithm to improve and enhance the PBMM algorithm (Priority Based on Min-Min Algorithm). The proposed algorithm works with the aid of one of the Cloud of Things (CoT) services; this service is Sensing and Actuation as a Service (SAaaS). The proposed Algorithm works on third-party broker. However, it has two-phase: the first phase is Sensing: in this phase, the sensor observes the throughput for all tasks and compares it with the link capacity. The Second phase is Actuation: depending on the comparison in the first phase, the priority of all the takes will change depending on the link capacity, all tasks will have the same priority if the throughput is low (Green throughput). All tasks will have two priority levels (high, low) if the throughput medium (Yellow throughput), and finally, if the throughput is high (red throughput) all tasks will have a default priority which assigned to them when they are created. However, the efficiency and performance of the IPBMM algorithm depend on the capacity of the link. If capacity is high (traffic in the network is high), the performance is very good and the costly, but if the capacity is medium (traffic in the network is medium), the performance is good as well as the cost. While if the capacity is low (traffic in the network is low), the performance is good and the cost is free. Therefore, the outcomes of the proposed algorithm experiment given 30% better results than the PBMM algorithm and other state-of-the-art algorithms.
Exploring the Machine Learning Algorithm for Prediction the Loan Sanctioning Process
Authors:   Department of MCA, Nehru College of Management, Coimbatore, Tamilnadu, India, Blessie Dr.E.Chandra , Rekha* R. ,   Department of MCA, Nehru College of Management, Coimbatore, Tamilnadu, India
Published: November 2019

Extending credits to corporates and individuals for the smooth functioning of growing economies like India is inevitable. As increasing number of customers apply for loans in the banks and non- banking financial companies (NBFC), it is really challenging for banks and NBFCs with limited capital to device a standard resolution and safe procedure to lend money to its borrowers for their financial needs. In addition, in recent times NBFC inventories have suffered a significant downfall in terms of the stock price. It has contributed to a contagion that has also spread to other financial stocks, adversely affecting the benchmark in recent times. In this paper, an attempt is made to condense the risk involved in selecting the suitable person who could repay the loan on time thereby keeping the bank’s non-performing assets (NPA) on the hold. This is achieved by feeding the past records of the customer who acquired loans from the bank into a trained machine learning model which could yield an accurate result. The prime focus of the paper is to determine whether or not it will be safe to allocate the loan to a particular person. This paper has the following sections (i) Collection of Data, (ii) Data Cleaning and (iii) Performance Evaluation. Experimental tests found that the Naïve Bayes model has better performance than other models in terms of loan forecasting.
An Enhanced Generalized Sequential Pattern Classification for Sequence Datasets
Authors:   Ph.D Department of Computer Science, Bharathidasan University, Tiruchirapalli., Mercy .A* Immaculate , M Chidamabaram ,   Assistant Professor, Department of Computer Science, RSGC, Thanjavur.
Published: November 2019

A Niche approach for classifying sequence Datasets is achieved by the use of EGSP (Enhanced Generalized sequential pattern) algorithm. The EGSP brings out a prediction model for working with the Sequence Datasets in the domain of Gene and Protein datasets. The Method proceeds by the way of generalizing the datasets of both the supervised and Semi-supervised data. The generalization brings out the candidate sequences which paves path for a distinct component extraction. The sequences are generated based on the threshold value which is then followed by applying the EGSP algorithm which brings out the sequential pattern from the pruned sequences. The extracted sequential pattern is then clustered using a gene clustering algorithm. The algorithm (MNBC) Modified Naïve Bayes Classification computes the probabilistic components for each class. The accuracy obtained is far better than the traditional classification algorithms. The resultant classification provides a solution for prediction methods for the selected domain and its applications. The algorithm used gives an upper hand over the computational costs which have been drastically minimized over the existing methods.
Design and Evaluation of Solar Powered Dryer System with Integrated Thermal Energy Storage
Authors:   Department of Electronics and Communication Engineering, Jai Bharath College of Management and Engineering Technology, Perumbavoor, India., K.S Abhilash , Rahman A Nisam ,   Department of Electrical and Electronics Engineering, Jai Bharath College of Management and Engineering Technology, Perumbavoor, India., Kumar P.S* Shijin ,   Department of Electronics and Communication Engineering, Marri Laxman Reddy Institute of Technology and Mangement, Dundigal, Hyderabad, India.
Published: November 2019

Drying of food products in open air under sun is the most common and easiest way of drying. However, it cannot assure the hygiene of the dried product because of the involvement of wind-borne dust, rain, insects, rodents and birds. This will affects the quality of the product and hence may have contrary economic effects on domestics and global markets. Some of the problems associated with open-air sun drying can be solved through the use of a cabinet type or indirect type solar dryer. The major drawback of all these types of conventional solar dryers is that they cannot be used in cloudy weather or during night time. By incorporating Thermal Energy Storage (TES) we can make use of the dryer throughout the day or at least during late evenings. Water is one of the best sensible TES medium within its operating range. Solar water heater is a device used to collect solar energy and heat up water without any electrical or fossil fuel aid. So the idea of this project is to incorporate solar dryer with solar water heater so that the dryer can be used even at late evenings or in cloudy weather, and also it can be used as water heater for hot water consumption.
Optimal Search Parameters for A Random Pulsed-Point Source with the Required Accuracy
Authors:   Probability Research Methods for Information processing Dep., Institute of Automation and Eletrometry, Novosibirsk, Russia, 630090, Koptyug av., Reznik Alexander , Soloviev* Alexander ,   Probability Research Methods for Information processing Dep., Institute of Automation and Eletrometry, Novosibirsk, Russia, 630090, Koptyug, Torgov Andrey ,   Probability Research Methods for Information processing Dep., Institute of Automation and Eletrometry, Novosibirsk, Russia, 630090, Koptyug
Published: November 2019

The questions of creating high-speed algorithms for detecting and localizing point sources having a random distribution and manifesting themselves by generating instantaneous delta pulses at random times are described. The search is carried out by a system including one or more receiving devices, and is performed taking into account the requirements for localization accuracy. It is assumed that all receivers have freely tunable viewing windows. The optimal procedure is one that minimizes (in a statistical sense) the average localization time. It is established that even with relatively low requirements for localization accuracy, the optimal procedure consists of several stages (each such stage ends at the moment of the next pulse registration). In this case, it is possible receiving system to miss some pulses generated by the source during the optimal search. In the work, the optimal search parameters are calculated depending on the number of receiving devices and the required localization accuracy. The possibility of using the results in a multidimensional case is shown.
Development of A Risk Assessment System for The Creation of Space Rocket Technology
Authors:   laboratories 2 management, Military Institute of scientific research military space Academy named after A. F. Mozhaysky, St. Petersburg, Russia., Zubova* Lyudmila , Yakovaleva Anna ,   Saint Petersburg University of State Fire Service of the Ministry of the Russian Federation for Civil Defence, St. Petersburg, Russia., Tregulova Natalya ,   department of management and entrepreneurship, institute of service and entrepreneurship (branch), Don State Technical University, Shakhty, Russia., Vasenev Sergey ,   department of management and entrepreneurship, institute of service and entrepreneurship (branch), Don State Technical University, Shakhty, Russia., Zibrova Natalya ,   department of management and entrepreneurship, institute of service and entrepreneurship (branch), Don State Technical University, Shakhty, Russia.
Published: November 2019

During the production and purchase of electronic component base (ECB) in the course of experimental design work (EDW), various risks arise that arise due to internal and external process failures. As practice shows, systematic breakdowns of EDW began to occur due to failure of ECB supplies by domestic and foreign manufacturers. In the framework of this issue, the authors developed methodological approaches to increasing the likelihood of a successful completion of the production process based on the use of preventive management in the form of a risk-based approach. The essence of this approach includes the use of the PDCA Deming cycle (“Plan-Do-Check-Act”), which is a cyclically repeating decision-making process used in quality management. Regulatory and technical documentation for assessing risks in the production and procurement of ECB will allow you to determine the level of risk in achieving the required efficiency in meeting the specified terms for the development of RST products (component parts - CP of RST products). This study substantiates the need to use a risk-based approach in the production and procurement of ECB in the course of development work (hereinafter EDW) in the development of space rocket technology (RST). This study presents a methodology for assessing risks in the production and purchase of ECBs during the implementation of EDW, based on the consideration of possible risks based on the stages of the production life cycle and delivery of foreign-made ECBs. The question has been raised about the need to develop regulatory and technical documentation for assessing risks in the production and purchase of ECBs during the implementation of EDW.
Is the Traditional Handloom Industry in Assam in Trouble? Evidence from the Weavers in Barpeta District
Authors:   Guest Faculty at Department of Economics, Bhattadev University, Pathsala, Dist- Barpeta, Assam, 781325, India, Kalita* Rituparna
Published: November 2019

The handloom industry, one of the largest traditional unorganised economic activities after agriculture, occupies an integral part of the rural livelihood. Growth and sustainability of this industry is based on the transfer of skill from one generation to the next as well as their ability to adapt to market requirements. As per the Third Handloom Census of India (2009-2010), about 2.38 million handloom units provided employment to 4.33 million persons of which, 3.63 million workers are in rural areas and .698 million workers in urban areas, respectively. In Assam, by providing livelihood to millions of weavers and craftsmen in rural areas, a vital role has been being played by this industry in the economic development of the rural masses. However, over the last couple of years, it has been noticed that the situation has changed and this age-old tradition of handloom weaving as an activity is in deep crisis. Considering such a critical juncture faced by both the industry and the weavers alike, this paper aims at exploring the present situation of the handloom industry in Assam. An attempt of in-depth primary study of 200 weavers in Barpeta district has been performed and descriptive statistics has been used to analyse the primary data. Results show that the continuation of this tradition in future is under question in the district. A very less percentage of weavers’ children are interested in continuing their hereditary occupation of weaving in future.
Statistical Analysis of Impact of Strategy & Flexibility on Supply Chain Performance in the Perspective of Indian Automobile Manufactures
Authors:   Research Scholar, Mechanical Engineering Department, Suresh Gyan Vihar University, Jaipur (Raj.), India., Chandak* Amit , Kumar Neeraj ,   Professor & Head , Mechanical Engineering Department,, Suresh Gyan Vihar University, Jaipur (Raj.), India., Dalpati A. ,   Professor , Industrial and Production Engineering Department,, SGSITS, Indore, India
Published: November 2019

Today’s business under competitive environment, the organizations must be integrated and maintain their business deliberately within the supply chain network. With the intention to indentified the impact of supply chain strategy (SCS) and supply chain flexibility (SCF)) on performance in a sample of the automobile industry and investigate the direct influence of dimensions of SCS and SCF on performance. With the help of quantitative research, a survey was conducted. Statistical tools were used to investigate the information. The structural equation path modeling approach is used to assess the relationship of the hypothesis. The findings analyzed that SCS and SCF positively influence performance. The result finds an encouraging relationship between SCS and SCF with supply chain performance (SCP) and the result indicate that effective and efficient supply chain flexibility has a positive impact on the firm’s performance. The result also shows that supply chain strategies are related to performance.
Innovative Technology for Modeling Cancer Grow Regulatory Mechanisms with Taking into Account Micro-RNA Action
Authors:   Scientific and Innovation Center of Information and Communication Technologies, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, Uzbekistan., Saidalieva Mahruy , Hidirova* Mohiniso Baxromovna ,   Scientific and Innovation Center of Information and Communication Technologies, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, Uzbekistan.
Published: November 2019

This article is devoted to modeling regulatory mechanisms of human molecular-genetic systems activity during cancer origin and development with taking into account non-coding circulating regulators. The paper draws on results made by using methods of quantitative and qualitative analysis of functional-differential equations. Computational experiments have shown that for certain values of internal and external states there are the following regimes: programmed cell death (apoptosis), stationary state, self-oscillations, irregular behavior (cancerous growths) and a sharp destructive change - the “black hole” effect (metastasis) in depending on various concentrations of micro-RNA. The paper provides a new mathematical and computer models able to describe regulatory mechanisms of cancer taking into account spatial and temporal relations.
Improving Fault Detection Rate using Similarity-based Test Case Prioritization in Regression Testing
Authors:   Amity School of Engineering and Technology, Amity University Patna, Patna, India, Singh* Shilpi , Ranjan Preetish ,   Amity School of Engineering and Technology, Amity University Patna, Patna, India.., Shree Raj ,   Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, India..
Published: November 2019

Rapid evolution in software requires regression testing to be performed as an essential activity which validates the software before the next release. Where software developer may add or removes intended features to maintain the software according to the customer requirements. In that case, complete test cases execution is nearly infeasible due to limited time and resources. So, the main aim of prioritization is to test any software with minimal time and maximum efficiency in terms of fault coverage rate. This paper proposed different similarity-based prioritization techniques to provide ranking to the test cases based on their influence level which is computed as similarity degree in three levels for the software to be tested. Each level represents the integration of selected coverage criteria’s. In order to validate our proposed technique, we have conducted a case study to measure its effectiveness in prioritizing the test cases. We experimentally observed that by incorporating a similarity-based approach with more than one coverage criteria; results for similarity-based prioritization are promising than any other conventional coverage based approaches in terms of Average Percentage of Faults Detected.
Peak Time Load Management in Domestic Sector
Authors:   Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India., Suresh* M. , Maniraj P. ,   Electrical and Electronics Engineering, M.Kumarasamy College of Engineering, Thalavapalayam, Karur, India., Sundar S. ,   Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India., Logeswaran T. ,   Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India., Tamilarasu P. ,   Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India.
Published: November 2019

The electricity demand is increasing day by day and leads do increase in generation and power transmission. India consumes about 3.4% of world energy consumption. The energy demand has grown at the average of 3.6% per annum over the past 30 years. Usually the demand for the electricity increases abruptly during peak hours. So it is necessary to monitor the loads during peak hours in order to provide energy sufficiently. The government has taken steps to reduce power consumption in industrial sector. Demand reduction can also possible in domestic sector. This Paper presents a load management model for domestic houses. Every house has a maximum demand limit for essential loads. During peak hours, if the consumer consumes power more than the preset limit,, based on the priority of load the power supply to the load will be turned off automatically and by using the cloud, the data can be visualized and analyzed. The power consumption during peak time is updated in cloud using NODEMCU and Thingspeak. The information can also be used for load forecasting
Clustering Behavioral Data for Advertising Purposes using K-Prototypes Algorithm
Authors:   Computer Science Department, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Ranti* Kiefer Stefano , Salim Kelvin ,   Computer Science Department, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Yuliono Andary Dadang ,   Computer Science Department, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Girsang Abba Suganda ,   Computer Science Department, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Published: November 2019

Understanding the customer sentiment is very important when it comes to advertising. To appeal to their current and potential customers, a company must understand the market interests. Companies can segment their customers by using surveys and telemetry data to get to know the customer’s interests. One way of segmenting the customer is by grouping or clustering them according to their interests and behaviors. In this study, the k-prototypes clustering algorithm, which is an improved combination of k-means and k-modes algorithm, will be used to cluster a behavioral data that contains both numerical and categorical attribute, obtained from a survey conducted on teenagers into clusters of 4, 5, and 6. Each cluster will contain teenagers with certain behavior different from other clusters. And then by analyzing the results, advertisers will be able to define a profile that indicates their interests regarding the internet, social media and text messaging, effectively revealing the kind of ad that would be relatable for them.
Automatic e-ticketing and Vehicle Parking System
Authors:   Undergraduate students, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India., M R Viknesh , Swaminathan J ,   Undergraduate students, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India., P Mahakaleshwar ,   Undergraduate students, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India., Pillai Anju S ,   Assistant Professor, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Published: November 2019

Smart cities have been the vision for the country for a while, and one of the features for the development of a smart city is to develop a good mobility for transport with efficient car parking management systems. A good parking management system must assist people to find vacant parking slots and provide automatic on-line payment options, to reduce the traffic and to save time. In this paper, implementation of prototype of automatic e-ticketing and vehicle parking system is presented. The proposed system consists of automatic gate control, e-ticketing and vacant space monitoring, implemented using Raspberry Pi. Android application on user’s smart phone helps in easy user interface making the system, easy to use in real time scenario.
Accomplishment of New Protocol for Stupendous Security in Cloud Environment
Authors:   Research Scholar, Department of Computer Science & Engineering, BIHER- Bharath Institute of Higher Education and Research, Chennai, India., Balaji* S , Saravanakumar S ,   Research Supervisor, BIHER- Bharath Institute of Higher Education and Research, Chennai, India.
Published: November 2019

Cloud is that the rising and thirst area of analysis and advantageous in all the fields. However security is the main disquiet for not espouse cloud for each application. Mainly of the security crisis are connected by authentication with data protection by the respect to cloud security alliance (CSA). The projected New (Biometric encoding and Biometric authentication) protocol can conquer every safety crisis in cloud adjacent. In NEW protocol biometric encryption has been provided for the cloud consumer’s valuable information and identity verification has been utilized in a unique way to scale back the problems associated with authentication and authorization. In NEW protocol Identity verification in cloud environment has been joint by pattern security in coincidence with four entirely dissimilar and influential encryption algorithms for accumulated safety. This protocol improves biometric template protection by the combination of RSA and AES encryption algorithms in proper locations and 3DES, Blowfish has been utilized in information security and solution safety supervision. By implementing such technique can vanish out the un trustiness of adopting cloud, specifically public and hybrid clouds. Since all the users information are hold on in off premise. Adopting this protocol has given nice results when examining with existing work and all the vulnerable places has been considered for improved security.
Design and Development of Z-Robot for industrial Applications
Authors:   Associate Professor, Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India., Indra* J. , Kirubashankar R. ,   Associate Professor, Department of Mechatronics Engineering, Kongu Engineering College, Perundurai, Erode., Ilakkiya N. ,   Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Indujha S. ,   B.E. Electronics and Instrumentation Engineering at Kongu Engineering College, Perundurai, Erode., Guhan S. ,   B.E. Electronics and Instrumentation Engineering at Kongu Engineering College, Perundurai, Erode.
Published: November 2019

The last few decades have demonstrated the benefit of fast, vast and inexpensive robots in production sectors. Robots in the industry can be cooperative or supportive to the workers. Some significant tasks such as, industrial automation, painting, welding, package loading and unloading, cutting and application specific tasks can be performed using industrial robotic arm. The aim of the project is to pick and place the objects in industries using robot arms. Z-Robot is a double arm robot. The robot arms follow the loop in a program to run the servo motors. Arduino program stores the position of each motor. When the pick command is received servo motors fixed with the robot arms start rotating based on the program and picks up the object. When the drop command is received the robot arms drops down the object. The pick and place operations can be done in any direction. End effectors connected with arm setup is used to pick and place the object.
The Benefits and Challenges of Practicing Work-Life Balance Among Women Entrepreneurs
Authors:   Faculty of Technology Management and Technopreneur, Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor, A.* N., Omar , S. Ahamat ,   Faculty of Technology Management and Technopreneur, Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor, Sidek  ,   Institute of Technology Management and Entrepreneur, Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor, Al-shami Samer Ali ,   Institute of Technology Management and Entrepreneur, Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor, Aripin M. A. ,   Faculty of Social Sciences and Humanities, School of Education,Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor, Aris A., Mat ,   Faculty of Social Sciences and Humanities, School of Education, Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor
Published: November 2019

In Today’s Fast Paced Business World, The Ability To Achieve Work Life Balance (WLB) Is Becoming More And More Difficult As People Are Constantly Pushed To Work Faster To Cope With An Increasing Workload. This Paper Presents A Review Of The Challenges And Contribution (Benefit) Of Practice Work – Life Balance. Women Entrepreneurial Success In Their Life And Business Always Being Connected With The Excellent Management Of WLB. An Overview Of The Issues Surrounding Women Entrepreneur Development Draw To The Extension Of More Literature Reviews. Therefore, 34 Articles Have Been Selected And Analysed. There Was Found That Applying Of Work – Life Balance Was Increase Dual Earner For Family Economy And Improving Productivity In The Business. Meanwhile The Main Challenges Of WLB Implementation Among Woman Entrepreneurs Has Always Related To Time Management And Busy Schedule At Work Place. Based On The Issues Identified, Work – Life Balance Strategies Are Proposed To Increased Malaysian Woman Entrepreneurial Potential, Enhance Their Wellbeing In Life And Encourage Them To Part In Business.
An Improved Artificial Bees Colony Algorithm to Solve Minimal Exposure Problem in Wireless Sensor Networks
Authors:   AP/CSE, Dhirajlal Gandhi College of Technology, Salem, Aravinth* Mr.S.S. , Senthilkumar Dr.J. ,   Prof/IT, Sona College of Technology, Salem, Mohanraj Dr.V. ,   Prof/IT, Sona College of Technology, Salem, Suresh Dr.Y. ,   Prof/IT, Sona College of Technology, Salem
Published: November 2019

The problem of exposure, which is associated with the quality of coverage, is a basic issue faced in wireless sensor networks. Search for the Minimum Exposure Path (MEP) is one among the crucial problems in Wireless Sensor Networks (WSNs). The exposure with respect to the MEP is one of the indicators used for measuring the coverage quality of a WSN, depicting the efficiency with which the monitoring of a mobile target is done all along the sensing field. The available hybrid technique does not have sufficient accuracy to get the MEP, which is too complicated, and is not suitable to networks having heterogeneous sensor nodes, or in large number, or an all-sensor field intensity function. In order to get over these problems, an Improved Artificial Bee Colony (IABC) model is introduced for the MEP problem associated with getting the optimal shortest path in this research work. The IABC model exhibits an extensive use of energy and data congestion will happen. In order to have an efficient resolution to the data congestion problem, Prim’s algorithm has introduced the link level congestion scenario. Also for effective solving of this issue, in accordance with the features of the node, a semi Hidden Markov Model is developed to solve the problem of energy efficiency in WSN model. A number of experiments were carried out, and the results show that the proposed model and the designed IABC can help in increasing the solution accuracy and can be useful to not just the heterogeneous sensors’ case but also the scenario in where there are a big number of sensor nodes and also an all-sensor field intensity function.
Ann based Shortcoming Area in HVDC Transmission Line
Authors:   Pursuing Ph.d in Electrical Engineering Annamalai University,India., Poongothai C. , Gayathri K. ,   Assistant Professor, Annamalai University, India.
Published: November 2019

This paper is to ponder the use of Neural systems for shortcoming discovery and area in HVDC framework. The proposed Neural system learns examples and relationship on transient information. The Back-propagation algorithm has the ability to match map complex and nonlinear input - output behavior. A MATLAB model was created for the 500kv,1000MW,12 pulse-based converter-based distribution system and various fault events were simulated. The limitations of AC over long transmission lines has led to the use of DC for bulk transmission over long distances. Fault condition like rectifier fault, inverter faults and transmission line faults are discussed in this paper.
Improving Students’ Ability in Classroom Interaction through Everyone Is the Teacher Here
Authors: Kuswanti Nunung
Published: November 2019

This research is a case study that has been done in October until November 2013. The objective of this research was a group of students at seventh semester at Teacher Training and Education (STKIP) Muhammadiyah Sorong that was consists of five students. The aim of this research was to know whether ‘Everyone is Teacher Here’ is effective to improve students’ ability in classroom interaction.The design of this research was time series design that is equivalent time series design. The data of this research was analyzed through SPSS program that is Wilcoxon Test (nonparametric statistic). The steps of this research were: 1) selecting the participant 2) Measure for the first time 3) Giving the intervention 4) Measure for the second time 5) Giving the intervention 6) Measure for the third time 7) Giving the intervention 8) Measure for the fourth time. The data had gotten then analyzed. Based on the result of data analysis had gotten Asymp. Sig. (2-tailed) 0,0195 for the first and the second test, 0,0205 for the second and the third test and 0,017 for the third and the fourth test in which 0,0195, 0,0205 and 0,017  0,05, means that Ho was refused or Everyone is Teacher Here is effective to improve students’ ability in classroom interaction. In overall also got the result of the first and the fourth test with Asymp. Sig. (2-tailed) = 0,019 0,05, means that Ho was refused.
Improving Students’ Speaking Ability by Using Role Play
Authors: Muhlasin Muhlasin , Sudibyo Doni , Wibowo Ari
Published: November 2019

Role play is a tool of dramatic explorations, which engages participants within an aesthetic, there-dimensional problem-solving process to examine, explore, and reflect upon issue of personal and collective importance. The aim of study was to find out whether or not the use of role play of daily conversation in teaching speaking is able to improve the students’ speaking ability or not. This research used quasi-experimental method. The sample of the research is 30 students of first grade of SMA Muhammadiyah Aimas which was divided into two classes. The data has collected through interview on pre-test and role play show on post-test. The data analysis showed the improvements of the students’ speaking ability who are studied through role play. It was proven by the mean score of experimental class was 72.3 with SD 3,527 higher than control class was 65,7 with SD 4,154. In other words, Role Play techniques can improve the speaking ability of the students.
PRAKTIK UNHEALTY DIET PADA REMAJA PUTRI
Authors: Setyaningsih Wahyu
Published: November 2019

Unhealthy diet is a major concern among adolescents that affects their nutritional and health status. The aim of this study was to identify unhealthy diet practice among senior high school female students. A cross-sectional study was conducted in five senior high schools in Malang, with 188 female students selected by simple random sampling. Information about unhealthy diet status were collected from interviews, food consumption frequency by Food Frequency Questionnaire (FFQ) and nutrition status by measuring the weight and height. This study found that 22.34% (95%CI: 16.33-28.35) senior high school female students in Malang did unhealthy diet, 64.29% had a normal body mass index. From the result of bivariate analysis with t-test, it was found that significant difference in mean frequency of food consumption based on unhealthy diet status and there is a relationship between nutrition status with unhealthy diet status (p value <0.001). This study highlights the importance of healthy diet for female adolescents. Strategic approaches and development programs related to nutrition and reproductive health are needed to prevent nutritional problems in adolescents.
Keyword: unhealthy diet, female adolescents, food consumption frequency
PERBANDINGAN HASIL PEMERIKSAAN HEMOGLOBIN PADA IBU HAMIL DENGAN BEBERAPA METODE
Authors: Susilawati  , Zubaidi
Published: November 2019

There are many methods for examining hemoglobin, but there is no 100% accurate, easy and affordable examination method. At present many clinical personnel are still using the Sahli Method. This method is often used with consideration of low and easy costs, but the possibility of errors using this method is 10-15% based on Muhilal and Sukati Saidin's research, explaining the accuracy of Hemoglobin examination with the sahli method compared to the cyanmethemoglobin method, resulting in more Hemoglobin values low 10-13%, so the results of examination of Hb levels with the sahli method if the result is multiplied by a factor of 1.10 for Hb levels above 10.0 g% or 1.13 for Hb levels less than 10.0 g% will produce a grade value Hb whose spread is not significantly different from the cyanmethemoglobin method. Therefore, in this study a comparison of the results of Hb levels in pregnant women was carried out using several methods, namely: Sahli Method, Cyanmethemoglobin,photometry with hematology analizer. The mean results of several hemoglobin examination methodsare 11.6 for the Sahli method (with a correction factor); 12.2, for the Cyanmethemoglobin method; 11.9 for Hematology Analizer. Based on the ANOVA test it is known that the calculated F value is 0.303 and p-value (sig) 0.739 which means that the difference between the Hb examination results using the Sahli method and the correction factor, and the Cyanmethemoglobin method, and the Hematology Analizer are not significant. This shows that the use of the Sahli Method with correction factors can be used as an option for examining Hemoglobin levels in pregnant women.
Keyword: Method, examination, hemoglobin
WAKTU PENYEMBUHAN LUKA PERINEUM IBU NIFAS BERDASARKAN KADAR HEMOGLOBIN
Authors: Tarsikah Tarsikah  , Amin Isman , Saptarini
Published: November 2019

Labor often resulting in perineal wound, the wound is usually mild, but sometimes it happens wide wound and dangerous. Delay time can be a perineal wound healing problems such as bladder infections or complications of the birth canal. The purpose of this research to determine the relation of hemoglobin concentration with perineal wound healing time postpartum maternal in the Wagir Puskesmas Area of Malang Regency. This research design using analytic correlation with prospective approach with a population of 51 postpartum maternal, using simple random sampling with a total sample of 33. The research instrument was a digital meter Hb and observation sheets. Analyzed using Chi Square. Analysis we found there was a relation between hemoglobin with perineal wound healing time on postpartum maternal with ρ value (Sig.) 0.000 > 0.05. Midwife for immediate control of hemoglobin concentration and observation immediately postpartum perineal wound and if found low hemoglobin concentration (anemia) immediately take action, so that perineal wound healing time is running normally and avoid infection.
Keywords: Hemoglobin Concentration, Healing, Perineal
HUBUNGAN PEMBERIAN MP-ASI DENGAN STATUS GIZI BAYI USIA 6-12 BULAN
Authors: Setyaningsih Wahyu , Mansur Herawati
Published: November 2019

The prevalence of malnutrition in infants is still a health problem in Indonesia. This study aims to determine the relationship of complementary feeding with nutritional status of infants aged 6-12 months. This study was a cross-sectional study conducted in Gandongan, Pandanwangi, Blimbing, Malang with 37 subjects aged 6-12 months who were selected by proportional random sampling method. Information about giving complementary feeding obtained structured interviews and forms of 24-hour food recall, as well as anthropometric measurements of infants. The incidence of malnutrition in this study was 8.1%. From the results of bivariate analysis with chi square, there was no association between breastfeeding and breastfeeding status with infant nutrition. Problems with nutritional status occur due to an imbalance in consumption of nutrients. Nutritional problems can interfere with baby's growth and development.
Keywords: giving complementary feeding, infant nutritional status
KUNJUNGAN ANTENATAL IBU HAMIL RISIKO TINGGI DENGAN BEBAN GANDA
Authors: Naimah naimah  , Yudianti Ika
Published: November 2019

Double burden is one of gender discrimination which means certain gender executes more work burden than another gender. The impact of double burden is low privacy time where in the impact will be a bad consequence if experienced by high risk pregnancy women. ANC visit is required to prevent and detect earlier an existence of the risk and the complications. Therefore, it is important for high risk pregnancy women to spare her time for doing ANC visit regularly. The research aims to find out the correlation between double burden and antenatal visit of high risk pregnancy women. The research method is correlational analytics by cross sectional type. The research samples are 39 childbirth women who have high risk pregnancy history with double burden in working Area of Puskesmas Wagir, Kabupaten Malang,on July 2017.The research instrument is profile sheet contained family activities with Harvard Scale questionnaire, KIA book, and pregnant women card. The research result shows that most of the respondents (69,2 percent) are categorized as medium double burden (579-856 minutes/day) and almost half of respondents (48,7 percent) have low ANC visit. By using Spearman Rank correlation, the analyzed data shows that the rho value is -0,400 and the significance value is 0,012. The value show that there is significant correlation between double burden and ANC visit. In order to overcome the impact of double burden to ANC visit, the husband and the family is expected to cooperate well in managing time between working and pregnancy checkup visit.
Keywords: double burden, antenatal care, high-risk pregnancy
PENGARUH LATIHAN FISIK TERHADAP PROSES INVOLUSI UTERUS
Authors: Laili Uliyatul
Published: November 2019

Latihan fisik yang dapat dilakukan pada masa nifas diantaranya adalah early exercise. Early exercise adalah kegiatan yang dilakukan secara bertahap oleh ibu nifas untuk membantu mengembalikan fungsi organ tubuh seperti sebelum kehamilan. Beberapa manfaat yang oleh ibu postpartum dengan segera melakukan early exerciseadalah dapat mempercepat pulihnya alat-alat kandungan, mengurangi kejadian komplikasi kandung kemih, thrombosis vena purperalis, dan emboli pulmonal serta banyak mengurangi keluhan pada sistem pencernaan dan perkemihan salah satunya konstipasi (Purwanto .2007). Tujuan dari penelitian ini adalah untuk menganalisis pengaruh latihan fisik terhadap proses involusi uterus. Metode yang digunakan pada penelitian ini adalah quasy experiment, dengan sampelnya adalah ibu nifas pada dengan tehnik purposive sampling. Penelitian ini dilakukan di Sidoarjo, dengan variabel independen adalah latihan fisik yaitu ibu nifas pada kelompok perlakuan diajarkan latihan fisik yang berupa early exercise pada hari pertama sampai hari ke tiga, sedangkan variabel dependennya adalah proses involusi uterus. Berdasarkan hasil pengujian statistic di atas dapat diketahui bahwa nilai signifikansi 0,100. Sehingga dapat disimpulkan bahwa tidak ada proses involusi uetrus antara kelompok eksperimen dan kontrol. Simpulan dari penelitian ini adalah tidak ada pengaruh latihan fisik terhadap proses involusi uterus.             Kata kunci : latihan fisik, involusi uterus
Tingkat Intelligence Quotient Pada Anak Usia 2-5 Tahun Berdasarkan Riwayat Lama Pemberian ASI
Authors: Naimah Naimah , Mas’udah Endah Kamila , Pertiwi Inggid Senditiya
Published: November 2019

AbstrakPenyapihan dini merupakan salah satu masalah dalam pemberian ASI. Penyapihan dini akan memutus transfer lemak Air Susu Ibu (ASI) pada bayi yang merupakan lemak tak jenuh dengan kandungan omega 3 untuk pematangan sel–sel otak, sehingga jaringan otak bayi yang mendapat ASI selama 2 tahun atau lebih akan tumbuh optimal dan terbebas dari rangsangan kejang, dengan dampak jangka panjang anak lebih cerdas dan terhindar dari kerusakan sel–sel saraf otak. Penelitian ini bertujuan untuk menganalisis tingkat Intelligence Quotient (IQ) pada anak usia 2–5 tahun dengan riwayat lama pemberian ASI. Penelitian ini merupakan penelitian analitik komparasi, dengan populasi seluruh siswa Pendidikan Anak Usia Dini (PAUD) sebanyak 31 anak yang diambil secara total samping di 4 PAUD Kecamatan Pakis, Kabupaten Malang. Pengumpulan data menggunakan instrumen penelitian lembar identifikasi lama pemberian ASI dan alat tes intelligence quotient Binet. Hasil penelitian menunjukkan ada perbedaan tingkat intelligence quotient anak usia 2-5 tahun dengan riwayat pemberian ASI (t-hitung 2,073 > t- tabel 2,045). ASI merupakan nutrien yang ideal dengan komposisi yang tepat, serta disesuaikan dengan kebutuhan bayi yang sangat diperlukan otak bayi agar tumbuh optimal.Kata kunci: Intelligence Quotient, Lama Pemberian ASI
Factor that Influence Lactation on Postpartum Mother
Authors: Mamuroh Lilis , S Sukmawati , Hermayanti Yanti , Nurhakim Furkon
Published: November 2019

Breastfeeding is a natural process as a mother’s responsibility to take care of her baby. The natural process of lactation started during pregnancy. During pregnancy, breast is prepared therefore when the baby is born, the mother can breastfeed her newborn soon. The purpose of this research is to discover the relationship between breast care, lactation, breastfeeding techniques that related to lactation, and calories and protein consumption that related to lactation. Research method used in this study is description. Population for this research is hospitalized postpartum mothers in Kalimaya Room dr Slamet Regional Public Hospital Garut which amounts to 96 people and the sample mehod used is total sampling. Based on the research’s result from 96 people showed that did poor breast care treatment was 27.08%, good treatment was 50.00% and did a very good breast care treatment was 22.9%. Of the 96 people that performed improper breastfeeding techniques was 32.29%, performed proper breastfeeding technique was 54.17%, performed a very appropriate breastfeeding technique was 13.54%. Based on the results of the study, out of 96 people, who got less calorie intake from the needs was 8.33% and who got calorie intake from the needs was 91.67%. Of 96 people showed that who got protein intake from the needs was 100% which means they got the necessary nutritional intake. There are still plenty of postpartum mother in Kalimaya Room dr Slamet Garut Regional Public Hospital that has problem with lactation.Keywords: Breastfeeding, Lactation, Postpartum Period
The Perception of Women with Postpartum Depression Towards Family Supports
Authors: Maryati Ida , Astuti Niken Fitri , Solehati Tetti
Published: November 2019

AbstractMental health is a global problem including postpartum blues.  Woman's perception of family’s support may increase postpartum blues symptoms. The purpose of this study was to describe the perceptions of women with postpartum blues towards family supports in Al Islam Hospital, Bandung, Indonesia. The design was descriptive and samples were chosen using the purposive sampling technique. The number of respondents was 35 women, and the data were gathered using two questioners. There were family support and modification of Kennerly and Gath's questioner. The results showed that most of respondent's perceived family provided emotional support 75%, instrument support 51%, reward support 54%, and informational support 54%. Based on the result, it is an opportunity for the hospital to provide counseling or health education to patient or family about the patient need on family support.Keywords: Family Support, Perception, Postpartum Blues