bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Performance Management Practices and Company Size to Innovation and the Impact on Organizational Performance Case Study: Regional Public Hospitals at South Kalimantan Indonesia
Authors: Rini Wahyu Sapto , Chandrarin Grahita , Assih Prihat
Published: August 2019

This study aims to analyze the effect of performance management practices and company size on innovation and its impact on organizational performance in 12 regional public hospitals in South Kalimantan, Indonesia. This research contemplates that performance management practices in innovation so that it has impacts on improving organizational performance.

The population of the study is the managers of 12 regional public hospitals in South Kalimantan. The research sampled 241 respondents. Data analysis techniques use path analysis to support direct and indirect for organizational management.

The results of this study indicate that the implementation of management is related to organizational performance through direct development of 0,778 and an indirect effect of 1,406 relating to the direct involvement of management to the organization of greater improvement, the hypothesis which states that financial management planning supports organizational performance through innovation is proven in this research. The direct effect of management size on organizational performance is 0,095 and the indirect effect is 0,128, which means that the direct effect on organizational performance is smaller than the indirect effect, so the hypothesis that increases company size on organizational support is proven to support this research. The novelty in this study reveals the research that needs to be done to support innovation at regional public hospitals in South Kalimantan in terms of administration, facilities, and infrastructure as well as human resources.
Perencanaan Komunikasi Program Ojek Makanan Balita (Omaba) Dalam Membentuk Persepsi Orang Tua Mengenai Anak Gizi Buruk (Studi Deskriptif Pada Orang Tua Dengan Riwayat Anak Gizi Buruk Di Kelurahan Cisaranten Kidul, Gede Bage)
Authors: Purnaningtyas Nancy Citra , Rina Nofha
Published: August 2019

Nowadays malnutrition is one of big problem that still being a government concern in health sector. At Gede Bage Bandung City on 2013 there are 29 cases of malnutrtion founded, 17 cases of them is at Cisaranten Kidul which is under the responsibility of Riung Bandung Public Health Center. Riung Bandung Public Health Center has succeeded in doing an innovation of health program called Ojek Makanan Balita (OMABA) which able to reduce malnutrition rate. The purpose of this research is to know the communication planning of OMABA program in shaping the perception of parents with children who have history of malnutrition in Cisaranten Kidul. The method used in this research is descriptive qualitative method by using in-depth interview technique which also supported with documentation obtained from Riung Bandung Public Health Center. The result of this research is that communication planning in OMABA program has been implemented systematically and structured and this program is able to form a perception to the participants that eat healthy food and that healthy food does not have to be expensive.
Effect of Traffic Light Scenario on VANETs Connectivity with Low Penetration Rate
Authors: Salman Muntaser A. , Mubarek Foad Salem , Seno Nazar Ismet
Published: August 2019

Traffic light with Vehicular Ad-Hoc Networks (VANETs) has been developed recently. Many issues and challenges come up with this development that required an investigation. One of the most prominent challenges is connectivity under low penetration of vehicles with VANET technology. Traffic light scenario has been proposed in this field to overcome low penetration problem, but no studies have been done on their connectivity.

In this paper, VANET connectivity with traffic light scenarios had been investigated. The most significant metric in this investigation is penetration rate, more specifically low values of it. Connectivity measurements, i.e. reachability, connection duration and re-healing time had been studied with real-time simulation. Three traffic light scenarios had been considered; no traffic light, normal traffic light and intelligent traffic light. The effect of these scenarios on VANET connectivity had been analyzed with low penetration rate and important conclusions had been stated for future works.
Designing and Implementing an Arabic Programming Language for Teaching Pupils
Authors: Razaq Hussam Hatem Abdul , Gaser Ayedh Shahadha , Mohammed Mazin Abed , Yassen Esam Taha , Mostafad Salama A. , Zeebaree Subhi R. M. , Ibrahim Dheyaa Ahmed , Ghania Mohd Khanapi Abd , Farhan Rabah N.
Published: August 2019

Observation has been made that in Arab countries, students find it challenging to learn to program in a different language other than Arabic. Existing literature contains only a few Arabic programming languages, most of which have never been or have partially been executed. In this article, a novel Arabic programming language known as Alf..Eih language is proposed. The proposed programming language is to be used in teaching pupils and schoolchildren in Arabic countries programming. This Arabic Programming language converts the Arabic language presumed to code in (C++ language) with its implementation. After the code written in Arabic passes through the first three stages of compiler (lexical, syntax and semantic), the final phase converts code to (C++). Alf..Eih language covers many of the directives in the presumed Arabic Language such as, header file, functions, if condition, loops and etc.
Reactive Routing Algorithm Based Trustworthy with Less Hop Counts for Mobile Ad-Hoc Networks Using Fuzzy Logic System
Authors: Yas Qahtan M. , Khalaf Mohammed
Published: August 2019

A mobile ad hoc network (MANET) is a dynamic network with wireless ad-hoc connection where fixed infrastructure is not presented. Therefore, routing algorithm work efficiently by forwarding packets. While node's behavior arbitrary joins and leaves the network at any time in MANET. However, it creates strange nodes (malicious or selfish nodes) that take part in the network and disturb routing discovery phase. This paper aims to increase the integrity of packets delivery by considering the shortest route. The main objective of the proposed algorithm to select the shortest path based on the hop counts and achieve trusted path according to the trust rate to select and maintenance the routes. Thus, the results of the study attain a high rate of the packets that successfully delivered with the lowest rate of the average delay (E2E) and normalized load for the routing using NS2 simulator, although there malicious nodes during the discovery of the road.
Solving Multiple Traveling Salesman Problem by Meerkat Swarm Optimization Algorithm
Authors: Al-Khateeb Belal , Yousif Mohammed
Published: August 2019

Multiple Traveling Salesman Problem (MTSP) is one of various real-life applications, MTSP is the extension of the Traveling Salesman Problem (TSP). TSP focuses on searching of minimum or shortest path (traveling distance) to visit all cities by salesman, while the primary goal of MTSP is to find shortest path for m paths by n salesmen with minimized total cost. Wherever, total cost means the sum of distances of all salesmen. In this work, we proposed metaheuristic algorithm is called Meerkat Swarm Optimization (MSO) algorithm for solving MTSP and guarantee good quality solution in reasonable time for real-life problems. MSO is a metaheuristic optimization algorithm that is derived from the behavior of Meerkat in finding the shortest path. The implementation is done using many dataset from TSPLIB95. The results demonstrate that MSO in most results is better than another results that compared in average cost that means the MSO superior to other results of MTSP.
Using Artificial Neural Network for Multimedia Information Retrieval
Authors: Mahmood Maha , AL-kubaisy Wijdan Jaber , Al-Khateeb Belal
Published: August 2019

Multimedia Information Retrieval (MIR) is an important field due to the great amount of information going through the Internet. Multimedia data can be considered as raw data or the features that compose it. Raw multimedia data consists of data structures with diverse characteristics such as image, audio, video, and text. The big challenge of MIR is a semantic gap, which is the difference between the human perception of a concept and how it can be represented using a machine-level language. The aim of this paper is to use different algorithms through two stages one for training and the other for testing. The first algorithm depends on the nature of the query language to retrieve the text document using two models, Vector Space Model (VSM) and Latent Semantic Index (LSI). The second algorithm is based on the extracted features using curvelet decomposition and the statistic parameters such as mean, standard deviation and energy of signals. The other algorithm is based on the discrete wavelet transform (DWT) and features of signals to retrieve audio signals, then the neural network is applied to describe the information retrieval model which retrieves the information from the multimedia. The neural network model, based on multiplayer perceptron and spreading activation network type, accepts the structure of conceptually and linguistically oriented model.
Automating Passport Localization Process Based on WLST-RFID Algorithm
Authors: Rashid Ahmed N. , Aliesawi Salah A. , Ahmed Mohammed Sh.
Published: August 2019

The electronic-passport is majorly used in worldwide. Many countries have started changing their conventional passports to electronic-passports due to upgraded security of the passport holder. Passports and any document probably enhanced using recent technology advancements - Radio Frequency Identification (RFID) technology for e-passports. The e-Passport is one of the important identification system of these applications of RFID, where the number of forged passports is increasing worldwide. It is great importance to examine a policy regarding to these information of the passport holder according to electronic approaches and developments, which are moving toward electronic data storage that focuses on the localization techniques. In this paper, we propose Weighted Least Squares Techniques (WLST) of generalized least squares that specifically estimate the accuracies of different measurements of the Passport Position (PP) to obtain a better estimation in airports. This algorithm achieves greater robustness results for accuracy in localization and tracking with a very limited in computational cost.
A New Training Method based on Black Hole Algorithm for Convolutional Neural Network
Authors: Salih Sinan Q.
Published: August 2019

One of the commonly used neural networks currently is the Convolutional Neural Networks (CNN). They have different applications but have recently been proven useful in deep learning. With its continued growth in the more convoluted domains, the difficulty of its training process is equally increasing. As such, several hybrid algorithms have been developed and implemented to solve this problem. This paper proposes the use of the Black Hole (BH) algorithm to train CNN in a bid to improve its performance by avoiding local minima entrapment. The performance of the new training algorithm was compared to the currently used training algorithms in terms of the convergence analysis, computational accuracy and cost using a benchmark problem specific to Optical Character Recognition (OCR) applications.
A Study of Outdoor Recreation Motivation and Activity Preferences
Authors: Gaffar Vanessa , Yuniawati Yeni , Ridwanudin Oce
Published: August 2019

Hiking is one of sport tourism activities popular in Indonesia, especially in West Java Province. It’s not only favored by professionals but also amateurs who are eagerly to spend their leisure time outdoors. These participants do the activity based on various motivations and preferences. Activity preferences are activities chosen by sport tourism participants and can be used as a basis for conducting market segmentation. This study was aimed to investigate dominant factors of participants’ outdoor recreation motivation and its influence on outdoor activity preferences. Quantitative research was used in this study. Data was collected from 411 respondents who hiked Ciremai Mountain and Papandayan Mountain in West Java Province. Data was analysed using Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results showed that achievement, learning and sociality, independent and personal development, and relaxation formed outdoor activity motivation. The most dominant factor was learning and sociality while the least dominant was relaxation. Motivation was also proven to have a significant influence on activity preference. Most of the hikers were willing to explore and learn new things when they hiked, which can be an opportunity for the management to socialize sustainable behaviour aspect around the area.
The Role of Proactiveness as a Mediatore Between Organizational-Stakeholders Relationship and Smes Performance
Authors: Jalali Alireza , Jaafar Mastura
Published: August 2019

This study examines the mediating role of proactiveness between organizational-stakeholders relationship and performance of small and medium enterprises (SMEs). Cluster sampling method and questionnaire were used to collect data from 150 SMEs in Tehran. SmartPLS 3.0 was utilized to analyze the measurement and structural model. The survey outcomes revealed that organizational-stakeholders relationship had an indirect effect on performance through proactiveness. The results also indicated a positive links for organizational-stakeholders relationship and proactiveness. This research is one of the few attempts that have addressed the importance of proactiveness as the key mechanisms to transform the advantages of organization-stakeholder relationship to enhance performance.Scope: This research is beneficial for entrepreneurs who wish to learn about the specific resources significant for venture growth, to devise effective strategies to expand their relationship with stakeholders. It can be concluded that accessing the full range of resources via stakeholders is the key success factor for proactivness and firm performance.
The Infrared Optical Properties of Al0.5In0.5Sb Alloy With Nano Coatings
Authors: Mohammed Saif Al-den J. , Al-Rashid Saeed Naif Turki
Published: August 2019

In this article, the SiC/Nano GaAs and SiC/Nano InP coatings on Al0.5In0.5Sb alloy are investigated in a theoretical framework. A Special program code written by MATLAB version 10 was performed to describe the reflectivity of coatings as a function of the nano-particles sizes, refractive index, and energy gap. This program is based on the Brus model and the Characteristic Matrix Theory. The results connected with nano-particle size of 3.6 nm in multilayer coatings indicate that our designs achieve high reflectivity. Such as, with six layers, the Air/SiC/Nano GaAs/Al0.5In0.5Sb design gives the reflectivity for S-Polarization Rs=99.9% and for P-Polarization Rp=98.0% for oblique incidence of ????=45° and R=99.9% for the perpendicular incidence. Similarly, the Air/SiC/Nano InP/Al0.5In0.5Sb gives Rs=99.9% and Rp=98.5% for oblique incidence of ????=45° and R=99.8% for the perpendicular incidence. This study set out with the aim of assessing the importance of Air/SiC/Nano GaAs/Al0.5In0.5Sb composition in industrial applications as a highly reflective coating for CO2 laser resonators in the far infrared region.
Road Network Connectivity and Freight Transportation for Supporting the Development of the Northern Zone of Aceh
Authors: Fithra Herman , Hasyim Sirojuzilam , Saleh Sofyan M. , Saputra Jumadil
Published: August 2019

Road network connectivity significantly affects merchandise, transport, and people’s lives. Freight transportation network models are utilized as frameworks of transport policy decisions to estimate the impacts of infrastructure projects on traffic. The goods supply delivery modes in Aceh, Indonesia, are dominated by road-based transportation, where up to 95% of daily needs, such as food, are carried using trucks, buses, and other vehicles. This condition emerged owing to a lack of infrastructure and facilities. Thus, the main purpose of this study is to analyze the effect of road network connectivity on goods delivery in the northern zone of Aceh. This research adopted a quantitative technique (survey questionnaire) and involved as many as 420 respondents. The data were analyzed using structural equation modeling (SEM) with Analysis of Moment Structures. The result of the study shows the value of regressions weight is 0.375 or 37.5%. It indicates the road network connectivity variable has a significant relationship with the transport of goods. Furthermore, the road network connectivity of the area has the strongest link or significantly influences the activities of regional development. Therefore, the government in the northern zone of Aceh can formulate road network policies oriented towards the development of the area’s new economy and support the implementation of the Arun Lhokseumawe Special Economic Zone, which is the business area and trade laws are different from the rest of the country.
The Effect of Inception Point on Dissipation Energy in Stepped Spillways Modeling
Authors: Krisnayanti Denik Sri , Suhardjono  , Dermawan Very , Legono Djoko
Published: August 2019

Stepped spillway is generally a modification on the downstream face of a standard ogee spillway. The steps increase significantly the rate of energy dissipation taking place along the chute and reduce the size of the need for a large energy dissipate at the toe of the spillway. In skimming flow conditions, the steps act as roughness factor which is great because most of the energy is lost to maintain horizontal vortices that develop beneath the pseudo bottom. This study aimed to investigate the effect of the inception point against the value of the relative energy loss on the stepped spillway in skimming flow regime. In this research, the models test of stepped spillway carried out with twelve configuration and variations of ratio (dc/h). The slope of stepped spillway (θ) is used 30˚ and 45˚, the number of steps (N) are 40 and 20, and two type of steps: flat steps and pooled steps. The critical depth to the height of steps (dc/h) is ranging from 0.700 < dc/h < 3.00 with the discharge per unit width 69.13 cm2/s < q < 707.65 cm2/s. The results showed that the relative energy loss can be analyzed to be a function of the inception points, the number of steps, and the slope of spillway, in the equation form of (ΔH/Hmax) = a (Li/ks)bNc(sin θ)d. The discharge which function of the Froude number and height of the step already include to the length of inception point parameters.
A Heutagogy Approach in Pensioner Entrepreneurship Training
Authors: Kurniady Dedy Achmad , Komariah Aan , Karnati Neti
Published: August 2019

Using aheutagogy approach in pensioner entrepreneurship is urgent when retirees with entrepreneurial capabilities are low and faced with post-power syndrome. This research aims to find an effective training model for pre-retirees and test the heutagogy model as a training management approach so that they can maintain their sustainability as entrepreneurs. The research, which usesa design-based research (DBR) method, has developed a stronger relationship between educational research and heutagogy application practices in training management for retirees so that they can continuously apply entrepreneurship practices and for used in guiding their lives,in addition to avoiding post-power syndrome, mean that is a psychiatric condition that is generally experienced by people who lose power or position followed by declining self-esteem and characterized by a person's lack of success in adjusting to his new condition.The results of the research show that the heutagogy management model has provided operational guidance for training managers in heutagogy management to develop pensioner entrepreneurship training. The conclusion is that heutagogy management can be used as an approach in pensioner training to improve their entrepreneurship sustainabilityby way of involving and empowering their abilities.
An Anti-Spam Detection Model for Emails of Multi-Natural Language
Authors: Mohammed Mazin Abed , Mostafa Salama A. , Obaid Omar Ibrahim , Zeebaree Subhi R. M. , Ghani Ghani , Mustapha Aida , Fudzee Mohd Farhan Md , Jubair Mohammed Ahmed , Hassan Mustafa Hamid , Ismail Azizan , Ibrahim Dheyaa Ahmed , AL-Dhief Fahad Taha
Published: August 2019

The spam is one of the illegal and negative practices that involves the use of email services to send unsolicited emails such as phishing for the purpose of scamming which influences the reliability of email. Investigations have been conducted from various perspectives in order to examine this spam problem and how it affects society. In this regard, many studies have been carried out with the aim of studying the effect of spam activity on finance, economy, marketing, business and management, while other studies have focused on studying the influence of spam on security and privacy. Consequently, the literature affords various anti-spam methods that blocks or filters spam emails. This paper investigates the existing anti-spam methods, highlights some current problems and carries out an improved anti-spam model. In this regard, a new agent-based of Multi-Natural Language Anti-Spam (MNLAS) model is proposed. The MNLAS model process in the spam filtering process of an email both visual information such as images and texts in English and Arabic languages. The Jade agent platform and Java environments are employed in the implementation of MNLAS model. The MNLAS model is tested on a 200 emails’ dataset and the results show that it is able to detect and filter various kinds of spam emails with high accuracy.
The Synchronisation Of Motion Capture Results In The Animation Character Reinforcement Process
Authors: Sutopo Joko , Ghani Mohd Khanapi Abd , Burhanuddin M.A. , Ardiansyah Hafizd , Mohammed Mazin Abed
Published: August 2019

Animation is a collection of frames that express a motion activity. The animation consists of actors, characters and performance components that present a story — one of the technologies in making an animation with motion capture. The results of catching motion in the form of motion record data are then synchronised to animated characters. However, the problem is that there are difficulties in synchronising animated characters with the results of catching motion so that the motion can be more subtle. On capture, this motion uses Kinect as a motion capture sensor for actors. The results of this capture then become motion data. The synchronisation of motion data from the motion capture results with Kinect then adjusts the joint body character points, frames, time with three-dimensional (3D) animated characters according to the flow of character actors. This synchronisation is adjusted to the recording of character movements starting from the motion of humans, animals and objects that invite motion activity with motion capture methods both marked and without markers. In making 3D, there are models of giving a body or bone frame (rigging) after giving the body frames is done by giving visual effects, lighting, rendering, and compositing. Rigging is the installation of bones to characters used to place and manipulate animated controls on characters that will be animated to produce the desired gesture. Animation synchronisation is to create animated characters manually; the file is used for. The synchronisation is Biovision Hierarchy (BVH) with gesture giving movement without having to save the keyboard in every animation movement manually.
Balanced and Semi-Distributed Clustering Protocol for Wireless Sensor Networks
Authors: Aliesawi Salah A. , Jasim Wesam M. , Wasmi Mohanad H.
Published: August 2019

In Wireless Sensor Networks (WSNs), energy saving is one of the most essential issues in designing because of the significant restricted power resources of the Sensor Nodes (SNs). Moreover, these nodes are deployed in remote or hostile environments. Clustering techniques gained widespread acceptance due to its characteristic of less energy exhaustion. Intra-cluster communication cost (Intra-cluster term), Inter-cluster communication cost (Inter-cluster term), and Cluster Size (CS) have a great effect on balancing and conserving energy within each cluster in the network. In fact, topology control help in balancing the communication load and preserve the energy of the nodes by reducing both terms and determining the optimal CS. Hence, it would majorly influence improving the lifetime of the network. In order to achieve this, Balanced and Semi-Distributed Clustering Protocol (BSDCP) is proposed, which is suitable for long-scale transmission in WSNs. It uses topology control to manage the convergent sensors within the sensing area and control on CS. Thus, the Intra-cluster term is minimized. Moreover, instead of using Direct Transmission (DT) to send data of Cluster Head (CH) to Base Station (BS), BSDCP uses Multi-Hop (MH) communication between high residual energy Cluster Heads (CHs) and try to reach BS with minimum energy cost. Hence, the Inter-cluster term is reduced. In addition, the Dijkstra algorithm is employed as an effective tool to search for the least cost path efficiently. The simulation results show the significant improvement of our proposal compared to other clustering protocols, and it has a more extended network lifetime and stability period.
Frequency of different groove patterns seen on the occlusal surface of mandibular second premolars
Authors: Abul Hasan Ali Muhammad , Niazi Maham , Saqib Sania , Younas Ahmad , Khan Najeeb
Published: August 2019

Background: The Mandibular second premolar has commonly three different type traits depending on the occlusal groove patterns. In addition to that they are also recognized on the basis of number of cusps. The objectives of the study were to determine the frequency of different occlusal groove patterns of mandibular second premolars and to acquire base line data for future studies in this population and field of research.Material and Methods: This study was conducted in Islamabad Dental Hospital (IDH), from September 2017 to December 2017. A total of 600 patients (1200 teeth) with fully erupted mandibular second premolars of normal occlusal morphology, in age group of 15 years and above were screened in the Out Patient Department (OPD). Groove patterns on occlusal surfaces and their anatomical variations on both sides i.e. right and left, were observed and noted in a proforma. Data was analyzed using SPSS version 22.Results: Three different patterns of occlusal grooves (Y, U and H) were found in our study population. Y groove pattern was observed in 364 teeth (30.33%), U pattern in 447 teeth (37.25%) and H pattern was noted in 389 (32.41%) teeth. Among males, U pattern was predominant (43.84%) followed by H and then Y pattern. In females, H pattern grooves was found mostly (34.41%), followed by Y and U pattern.Conclusion: The most frequent occlusal groove pattern observed in our population was U followed by H and Y type.
Contamination of Bacillus cereus in Elementary School Snack Food
Authors: Fahani Ayu , Dwiyanti Ratih Dewi , Muhlisin Ahmad
Published: August 2019

Many food snacks have the advantage but still have health risks as evidenced by the many cases of food poisoning, one of the causes of food poisoning is Bacillus cereus. This study aims to determine the amount and percentage of Bacillus cereus pollution on snacks sold in elementary schools. This research is expected to provide information to the public about the presence or absence of bacteria Bacillus cereus contamination. This research uses purposive sampling technique. The sample used in this study was hawker food sold in Elementary School as many as 20 samples consisting of 10 samples that have not fried and ten samples that have cooked. The results of the questionnaire study showed 83% of sellers did not put snacks in closed containers and found Bacillus cereus in meals. Conclusion 9 (45%) of food samples contaminated with Bacillus cereus bacteria
Effectiveness of Dayak (Eleutherine palmifollia (L) Merr) Extracts Against Escherichia coli In Vitro
Authors: Mahmudah Siti , Muntaha Akhmad , Muhlisin Ahmad
Published: August 2019

Dayak onion (Eleutherine palmifolia (L.) Merr) is hereditary used by the Indonesian Kalimantan Dayak community as a medicinal plant with antimicrobial activity. The active ingredient of Dayak onions can inhibit the growth of bacteria such as Escherichia coli. The purpose of this study was to determine the effectiveness of Dayak extract (Eleutherine palmifollia (L) Merr) in inhibiting the growth of Escherichia coli in vitro. This research method is experimental. Posttest Only Control Group Design research design. Research Results Show that Dayak onion extract can inhibit Escherichia coli with concentrations of 10% (6 mm), 20% (8 mm), and 30% (11 mm), 40% (13 mm), 50% (16 mm), 60 % (18 mm) and 70% (20 mm), 80% (20 mm), 90% (24 mm) and 100% (30 mm). The conclusion of the study of Dayak extract has a different effect on the growth of Escherichia coli with a significance value of 0,000
Upgrade-Data Security in Cloud by Machine Learning and Cryptography Techniques
Authors:   Scholar, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad, India., Ahmed* Adnaan Arbaaz , Hussan Dr. M.I.Thariq ,   Professor & Head, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad, India., Bollapalli Venkateswarlu ,   Assistant Professor, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad, India.
Published: August 2019

The term cloud computing is referred as the shared pool of customizable computer resources and high quantity services which can easily be provisioned with less management endeavours via internet. It transfigured the mode associations reach IT, which enables them to be more perceptive, launch new business models, and minimise the IT costs. These technologies are to be administrated in an interdisciplinary collection of architectures, characterized into various deployment and service models, and can synchronize with other related technologies. The widespread issues with cloud computing are security, reliability, data privacy and anonymity. Cloud computing provides a way to share distributed sources and services that are owned by different organizations or sites. Since it shares distributed resources via network in open environment that results in security issues. In this paper, our aim is to upgrade the security of data in the cloud and also to annihilate the difficulties related to the data security with encipher algorithm. In our proposed plan, some key services of security like authentication and cryptographic techniques are assigned in cloud computing environment.
Development of Sustainable Concrete Using Alternative Building Materials By Replacing Industrial Waste Steel Slag for Aggregates
Authors:   Civil Engineering, GMR Institute of Technology, Srikakulam, Andhra Pradesh, India., Vijayakumar* A. , Murugadoss J. Raja ,   Civil Engineering, GMR Institute of Technology, Srikakulam, Andhra Pradesh, India., Praveen S. ,   Civil Engineering, GMR Institute of Technology, Srikakulam, Andhra Pradesh, India.
Published: August 2019

It has now been found that industrial solid waste management is a major worldwide concern. Because of its heavy price effects, which cause economic and other environmental risks, most industries are not interested in the therapy and secure disposal of these waste. The disposal of waste foundry sand and slag is of main significance due to the trivial amount produced from the foundries throughout the world. Steel slag is a waste product produced during steel production. This waste has disposed of in the form of landfills, which creates enormous pollution of the soil. As a result, the need to use these waste is very essential due to increased demand to protect the usual environment, mainly in fields where it is built up. Consequently, replacing of natural aggregates with foundry slag would lead in considerable environmental advantages. In addition, paver blocks that are commonly used in building are inferior to burnt clay bricks in structure. In this project, therefore, normal fine and coarse aggregate should be substituted by foundry slag and foundry sand in the paver block. Several studies will be used to perform the studies, including compressive strength testing, tensile strength testing and flexure strength testing. Foundry waste is gathered from Foundries around Coimbatore.
Intrusion Detection in IoT based Smart Networks using Fuzzy Brain Storm Optimization Technique
Authors:   Research Scholar, Department of Electronics, Erode Arts and Science College (Autonomous), Erode, Tamilnadu, India. and Assistant Professor, Department of Electronics and Communication Systems, VLB Janakiammal College of Arts and Science College (Autonomous), Coimbatore, Tamilnadu, India., B* Suresh , Venkatachalam M. ,   Associate Professor and Head, Department of Electronics, Erode Arts and Science College (Autonomous), Erode, Tamilnadu, India., Saroja M. ,   Associate Professor, Erode Arts and Science College (Autonomous), Erode, Tamilnadu, India.
Published: August 2019

The Internet of Things (IoT) is characterized as an approach where objects are outfitted with sensors, processors, and actuators which include design of hardware board and development, protocols, web APIs, and software systems, which combined to make an associated architecture of embedded systems. This connected environment enables technologies to get associated with different networks, platforms, and devices, making a web of communication which is reforming the manner in which we communicate with the world digitally. These connected embedded systems are changing behaviour and interactions with our environment, networks, and homes, and also with our own bodies in terms of smart devices. Security and privacy are the most significant consideration in the field of real-world communication and mainly on IoTs. With the evolution of IoT the network layer security in the IoT has drawn greater focus. The security vulnerabilities in the IoT system could make security risks based on any application. Therefore there is an essential requirement for IDS for the IoT based systems for avoiding security attacks based on security vulnerabilities. This paper proposed a fuzzy c-means clustering with brain storm optimization algorithm (FBSO) for IDS based on IoT system. The NSL-KDD dataset is utilized to evaluate and simulate the proposed algorithm. The results demonstrate that the proposed technique efficiently recognize intrusion attacks and decrease the network difficulties.
Kinetics of Moisture Loss during Dehydration of Drum Stick Leaves (Moringa Oliefera) In a Bio-Mass Tray Dryer
Authors:   Professor, Department of Mechanical Engineering, S R Engineering College, Warangal, Telangana, India., Sammaiah* P , Babu D Ramesh ,   Assistant Professor, Department of Mechanical Engineering, S R Engineering College, Warangal, Telangana, India., Radhakrishna L ,   Assistant Professor, Department of Mechanical Engineering, S R Engineering College, Warangal, Telangana, India., Rajendar P ,   Junior Research Fellow, Department of Mechanical Engineering, S R Engineering College, Warangal, Telangana, India.
Published: August 2019

Studies were conducted on a newly developed bio-mass dryer installed with wire mesh tray with natural convection. Drum stick leaves were dehydrated using agri-waste as fuel for the dryer. Agriculture fields generate lot of waste in the form of fodder, leaves, sticks and roots, etc, It has been a major problem of pollution when farmers put these waste materials on to fire. The dryer is made of bricks to suit the drying temperatures of foods. Dryer is designed to generate temperature of the order of 50 – 100 deg C to suit the heat requirements of most of the vegetables, especially for green leafy vegetables. This paper reports the data collected during the dehydration of drum stick leaves and data analyses on kinetics of moisture changes. Nutritional values are measured and reported. Data of moisture loss is modeled using exponential and polynomial equations. The highest R square values are obtained with polynomial kinetic model. The moisture rate is maintained below the standard value in all the experimentation.
Nitrogen Deficiency Mobile Application for Rice Plant through Image Processing Techniques
Authors:   College of Engineering and Technology, Tarlac Agricultural University, Camiling, Tarlac, Philippines., Cruz* Geraldin B. Dela
Published: August 2019

Driven by the opportunity that digital devices and robust information are readily available, the development and application of new techniques and tools in agriculture are challenging and rewarding processes. This includes techniques learned that is based on traditional methods, practices, experiences, environmental patterns and human capability. The most sought technique comes from human intelligence that is dynamic, adaptive and robust. Nitrogen deficiency in rice plants can be determined via the color of the leaves. It is dependent on the depth of the green pigment in the color spectrum present in the leaves. Based on these characteristics, the application of computational artificial intelligence and machine vision can be adopted to create assistive technologies for agriculture. In this paper, a mobile application is developed and implemented that can be used to assist rice farmers determine nitrogen deficiency, through the leaf color in rice plants. The application can be used alternatively or together with the traditional protocol of nitrogen fertilizer management. It is mobile, simple and it also addresses some drawbacks of the human eye to distinguish color depths brought about by other factors, like sunlight, shading, humidity, temperature, etc. It utilizes image processing techniques to digitally captured images represented in numerically transformed Red, Green, and Blue color formats. The digital images are then normalized to remove the effects of illumination and then compared using the image/pixel subtraction technique with the base color images converted and extracted from the leaf color chart standard. Eventually, the application determines nitrogen deficiency and suggests the concentration and volume of fertilizer to be applied to the rice plants. Accuracy of the technique is determined by computing the Z statistic score.
Automatic Emergency Braking System using Hydraulic Actuator for Preventing Road Accidents
Authors:   Automobile, crescent IST, Chennai, India., C* Dineshkumar , A Sonya ,   IT, crescent IST, Chennai, India., D Roshan ,   Aeronautical, crescent IST, Chennai, India.
Published: August 2019

The active safety progression and its implementation reduce the number of fatalities universally at present. The system enables to assist the driver during emergency and risky. The conventional braking system never prevents the collision during critical situation during sudden braking and the vehicle tends to impact. The statistics describes that near miss accidents are huge. The autonomous braking system plays wide role today to prevent the accidents and sadly the system is used only in expensive vehicles. The proposed design and the system can use in the low end vehicles to reduce the fatality rate by using mechanical actuator is connected to the brake pedal for compressing whenever the IR sensor senses the object. The aim of the research is to sense the object and to stop down the vehicle during emergency.
Hybridization of Feature Level Fusion with Ant Colony Optimization in Multimodal Biometrics
Authors:   Computer Science and Engineering, National Institute of Technical Teacher Training and Research, Chandigarh, India., Meena* Sakuntla , Doegar Amit ,   Computer Science and Engineering, National Institute of Technical Teacher Training and Research, Chandigarh, India.
Published: August 2019

In biometric system, multimodal biometrics provides stronger security as compared to unimodal biometrics. Even though multimodal biometric improves the accuracy and reliability of the system, but requires large memory storage and consumes numerous execution time due to use of high dimensionality datasets. Search is being an NP-hard problem in biometrics, which garnish an attention for research in biometric system. Due to NP-hard nature of searching in biometric, accurate solutions could not be discovered in limited time. Therefore, researchers use heuristic or random search methods such as PSO, GA, ACO and Cuckoo search etc. to obtain optimal or approximate optimal solutions for such problems. This paper proposes a hybrid approach of feature level fusion in biometric system with Ant Colony Optimization based feature sub selection method to aiming to improve performance. The median filter and morphological operations are used for pre-processing of finger vein and fingerprint images respectively. Confusion matrix plot with equal error rate and accuracy are the evaluation parameters.
Detection of Intrusion using Hybrid Feature Selection and Flexible Rule Based Machine Learning
Authors:   Reserach Scholar-JNTUH & Associate Professor, Department of CSE-GNIT, Sudhakar* B. , Narsimha V. B. ,   Associate Professor, Department of CSE- University College of Engineering, OU, Narsimaha Dr. G. ,   Professor, Department of CSE- JNTUH College of Engineering, JNTUH.
Published: August 2019

With the rapid growth in the data processing and data sharing, the application owners and the consumers of the applications are more influenced to use the remote storage on cloud-based data centre and the application generated data is also growing ups and bounds. Nevertheless, the adaptation of the data sharing, and data processing applications were not easy for the consumers. The application owners and the service providers have struggled with the sensitive data of the consumers and the consumers were also faced trust issues with the complete framework. The standard legacy applications were designed for the traditional centralized scenarios, where the intrusion detection can be performed only using the network status analysis and the application characteristics analysis. Moreover, most of the parallel calculations initially enhance the hybrid likelihood and change likelihood of GA as indicated by the populace advancement variable-based math and wellness esteem. Nevertheless, the population of data and the attacks on the data is high and the correct population size is highly difficult to determine. Regardless to mention, that the use of fitness functions will restrict the attack detection to certain types and these algorithms are bound to fail in case of a newer attack. However, with the migration of application to the data processing framework, the consumers have started demanding more security against the intrusions. A good number of research attempts were made to map the traditional security algorithms into the data processing space, nonetheless, the attempts were highly criticized due to the lack of proper analysis of security attacks on data processing applications. Hence, this work proposes a novel framework to detect the intrusions on data processing framework with justifying attack characteristics. This work proposes a novel algorithm to reduce the features of attack characteristics to justify the gaps on data processing frameworks with significant reduction in time for processing and further, proposes an algorithm to derive a strong rule engine to analyse the attack characteristics for detecting newer attacks. The complete proposed framework demonstrates nearly 93% and higher accuracy, which is much higher than the existing parallel research outcomes with least time complexity.
Feature Selection using Hybrid Dragonfly Algorithm in a Heart Disease Predication System
Authors:   Department of computer science, University of Diyala/ computer science, Diyala, Iraq., Saeed* Namariq Ayad , Al-ta'i Ziyad Tariq Mustafa ,   Department of computer science, University of Diyala/ computer science, Diyala, Iraq.
Published: August 2019

The heart disease considers as one of the fatal disease in many countries. The main reason is due to the approved methods of diagnostic are not available to the ordinary people. Many studies have been done to handle this case with the use of both methods of soft computing and machine learning. In this study, a hybrid binary dragonfly algorithm and mutual information proposed for feature selection, support vector machine and multilayer perceptron employed for classification. The Statlog dataset used for experiments. Out of a total of 270 instances of patient data, 216 employees for the purpose of practicing, 54 of them used for the purpose of examining. Maximum classification accuracy of 94.44% achieved with support vector machine and 92.59% with multilayer perceptron on features selected with binary dragonfly algorithm, whereas with features obtained from mutual information combined with binary dragonfly (MI_BDA) algorithm support vector machine and multilayer perceptron attained an accuracy of 96.29%. The time algorithm takes reduced from 15.4 with binary dragonfly algorithm to 6.95 seconds with MI_BDA.
Estimation of Doppler Positioning for NavIC System in Static and Dynamic Conditions
Authors:   Department of ECE, Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad, India, Pasika* Sathish , Reddy D. Krishna ,   Department of ECE, Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad, India
Published: August 2019

The primary objective of any navigation system is to provide accurate user position. Navigation with Indian Constellation (NavIC) is an emerging regional satellite navigation system being developed by ISRO, India. The positional accuracy of the NavIC depends upon various parameters based on the application. Doppler shift is one among those parameters which plays an important role in finding the user position in dynamic conditions. The effect of the Doppler shift is more in high dynamic applications like missiles launching, air navigation due to high relative velocity between receiver and satellite. In this Paper, an efficient algorithm is developed to estimate the Doppler positioning using least squares method in static and various dynamic conditions. For this, the experimental data acquired from Indian Regional Navigation Satellite System (IRNSS)-GPS receiver located at low latitude station (Hyderabad: 17.39˚N, 78.31˚E) is used. A trajectory path has been simulated to estimate the user position and its accuracy measures in low and high dynamic conditions. It is noticed that, Doppler shift vary ±1KHz for geosynchronous satellites in static conditions, whereas it is ±40KHz in high dynamics. It is observed the position error is high in high dynamics as compared with low dynamics because of the higher Doppler shifts.
Antenna Array Design using Hybrid Feed for High Frequency Application
Authors:   Electronics and Communication Engineering, National Institute of Technical Teachers’ Training and Research , Chandigarh, India., Tyagi* Sumit , Saini Garima ,   Electronics and Communication Engineering, NITTTR, Chandigarh, India.
Published: August 2019

The objective of this paper to design eight elements (4×2) antenna array with hybrid feed structure. A number of microstrip antenna arrays such as microstrip antenna with inset feed, 2×1 antenna array, 4×1 antenna array and 4×2 antenna array have been designed using Rogers RT/duroid 5880 as dielectric materials are proposed to enhanced gain and bandwidth in practical measurement. The simulated gain is 14.917 dB obtained with hybrid feed structure and bandwidth of the design is 396.8 MHz and 523.5 MHZ at 9.4 GHz and 11.6 GHz resonating frequency. A prototype of the antenna is also constructed and tested, the tested results shows a bandwidth of 500 MHz. Loss increases due to long feed transmission line which reduce the gain of the antenna when we use thicker substrate. So hybrid feed structure is used in this design to reduce the length of transmission line. The application of this design is in radio location.