bluuebunny/crossref_metadata_2025 huggingface dataset:
Figure of community support in achieving Muhammadiyah school autonomy progress
Authors: Susilo Mohamad Joko , Kartowagiran Badrun , Sulisworo Dwi
Published: April 2019

School autonomy can not be separated from support factor. This study aimed to determine source and form of community support and contribution in realizing autonomous in Muhammadiyah schools. This research development is part of dissertation conducted with five stages: define, design, model development, model validation, and model use. The study was conducted at SMP Muhammadiyah, Sleman Regency, with 280 respondents; consist of principals, teachers, staff, students, and ministerial assemblies of Dikdasmen. Data collection technique used: interviews, questionnaires, and documentation. Data analysis techniques use quantitative inferential analysis, EFA and CFA techniques. The results showed that form and source of support for Muhammadiyah schools is internal as well as external. School support also comes from internal and external support, such as: committee, parents, stakeholders, foundation, education official, collages, and related institutions. Directly and indirectly effect, contribution of school supporting component (Bac) to be school autonomous (Kms) up to 0.30.
The influence of proficiency level on the use and choice of L1/L2 communication strategies used by Iraqi EFL students
Authors: Ugla Raed Latif , Abidin Mohamad Jafre Zainol , Abdullah Mohammed Najim
Published: April 2019

This study aimed at investigating the influence of language proficiency level on the frequency of the use and choice of L1/L2 communication strategies used by Iraqi EFL students. This study was qualitative in nature. The interactive task and speaking task were used to gather data regarding communication strategy use and choice from 52 second and third year English major students. Those participants were divided into two groups; low and high proficient students (n=27 low proficient students and n=25 high proficient students). A taxonomy of communication strategies was adopted to code the communication strategies used by low and high proficient Iraqi EFL students. The results revealed that low proficient students use communication strategies more frequently than high proficient students. Both low and high proficient students used communication strategies other than those included in selected taxonomy. This study showed that low proficient students use L1-based strategies more frequently, while high proficient students use L2-based strategies more frequently.
Vocabulary size, reading motivation, reading attitudes and reading comprehension performance among Filipino college learners of english
Authors: Gunobgunob-Mirasol Rosalyn
Published: April 2019

Reading is an indispensable tool in the academic world. Most, if not all, activities in varied collegiate courses entail the act of reading. There are many contributing factors that affect one’s ability to read and comprehend text materials effectively. Two of the many factors are the reader’s vocabulary size and their reading motivation. This study examined the relationship of the vocabulary size, reading strategies and the reading comprehension performance of college learners in a comprehensive university in the Philippines. A correlational analysis was employed to ascertain the relationship between the scores in the reading comprehension component of the course and the vocabulary levels tests by Nation [1]. The findings of this study hope to provide useful insights into the prediction of college learners’ reading performance and the teaching of vocabulary in the ESL context as well as the integration of learners’ reading
 motivation in the curriculum.
The influence of problem based learning towards social science learning outcomes viewed from learning interest
Authors: Permatasari Berti Dyah , Gunarhadi Gunarhadi , Riyadi Riyadi
Published: April 2019

The aim of this study is to determine the influences of Problem Based Learning and learning interest at improving the cognitive learning outcomes in social science of fourth-grade elementary school students. This study is a quasi-experiment study with pre-test and post-test control group design. The sample collection is taken with stratified cluster random sampling technique. The sample of this study is 109 fourth-grade elementary school students, consisted of 50 students from experiment group and 59 students from control group. The students from experiment group are given the application of Problem Based Learning, while the students in control group are given the application of Direct Instruction. The data collection is carried by using the instruments of social science learning outcomes test and social science learning interest questionnaire. The validity of test and questionnaire instruments is carried by expert judgement. The difficulty level, distinguishing power, and reliability of test instrument is tested by using ITEMAN application. The internal consistency and reliability of questionnaire instrument is tested by using SPSS application. The data is analysed by using two-way anova. The outcomes of the study show that PBL and learning interest contribute significant impact towards social science learning outcomes of elementary school students.
Leadership change design: a professional learning community (PLC) project in eastern Indonesia
Authors: Trilaksono Teddy , Purusottama Ambara , Misbach Ifa Hanifah , Prasetya Irfan Hary
Published: April 2019

A professional learning community (PLC) is a long-term sustainable program that can replace professional development (PD) to enable teachers to become teacher leaders and school principals to become instructional leaders. Using a case study from the establishment of the PLC project in 10 schools of Eastern Indonesia (Saparua island, Maluku), this research develops a progressive leadership change model through an ADDIE instructional design that changes school leadership. The research aims to investigate how to identify the most effective leadership change model by exploring differrent forms of learning communities between school principals and teachers. Using an action research approach to solve the problem, the data were collected over a 10-month period when the PLC project activities took place and embedded them as empirical materials that complement each other. The findings show that the leadership change design through PLC runs effectively if value alignment occurs between school principals and teachers after the open environment is established. The data also highlight that aligned values must be embedded as school identities, whereas a school principal must act as a change leader in order to ensure that these changes are sustainable. This study concludes by proposing policy recommendations for policy makers and education stakeholders on how to develop PD and PLC in
 Indonesian schools.
The presence and persistence of entrepreneurship education In Indonesia: a cross sectional study
Authors: Purusottama Ambara , Trilaksono Teddy
Published: April 2019

This study aims to improve an understanding of the contribution of entrepreneurship education (EE) in Indonesia’s higher education. Even though the contribution of EE to global education is contested at the present time by many scholars, the evaluation of EE implementation in Indonesia is necessary in order to improve educated entrepreneurs. The study used a cross-sectional approach in the Universitas Prasetiya Mulya which is divided into the first, second, and third years. Valid questionnaire reached 924 respondents. The findings show that EE's contribution in Indonesia has more influence on attitudes and perceived behavioral control. However, other findings indicate that the contribution of EE is still not fully persistent due to a sharp decline in the regression coefficient, especially from subjective norm and perceived behavioral control in the students third year while attitude consistently contributes significant role and has an increasing contribution.
Cyberbullying among secondary school teachers by parents
Authors: Küçüksüleymanoğlu Rüyam
Published: April 2019

Cyberbullying which is known as violence on the Internet is a dimension of peer bullying takes places through electronic communication technologies. Cyberbullying which can occur in any environment regardless of the time and place is the way in which individuals with higher ability to use communication technologies to lead other individuals in a series of negative behaviors over time. With the rapid development of technology and the ease with which internet access becomes easier and cheaper, it becomes a problem that needs to be studied more and more importantly day by day. Facebook, twitter and whatss up, the most widely used social network today, has the potential to become the most commonplace for cyberbullying behaviors. The purpose of this study was to determine cyberbullying towards teachers by parents in secondary schools based on teachers views according to sex, tenure and school size. The sample of the study was 181 teachers from 14 secondary schools. The experiences and perspectives of 181 teachers were assessed regarding the incidence and perceptions of the likelihood of cyber harassment by parents. The results presented here indicate that nearly3/4 of teachers in the sample had received harassing or threatening messages
from parents.
The effect of psychological factors on Syrian refugees’ participation in lifelong education
Authors: Karacabey Mehmet Fatih , Bozkus Kivanc
Published: April 2019

The purpose of this research was to determine the effect of psychological factors on Syrian refugees’ participation in lifelong education. The ex post facto co-relational causal design was employed in this research. A questionnaire form consisted of four scales was used to collect data from 297 refugees participated in lifelong education. The structural equation modeling analysis revealed that psychological factors affect participation in lifelong education and learning approaches played the biggest role in this effect. It was claimed that learning approach is a strong predictor of participation in lifelong education. The effect of locus of control on participation in lifelong education was medium while the effects of self-efficacy and self-worth were weak. Recommendations to education providers, decision-makers and researchers to align both formal and lifelong education curricula with the results were given.
Determination of pre-service science teachers’ attitudes towards reading science texts
Authors: Can Şendil , Öztürk Gülperi
Published: April 2019

The purpose of the current study is to determine the effects of the variables such as gender, grade level, grade point average and book reading frequency on pre-service science teachers’ attitudes towards science texts. The sampling of the current study is comprised of 103 pre-service science teachers enrolled at the Education Faculty of Muğla Sıtkı Koçman University in the spring term of 2017-2018 academic year. In the current study, in order to determine the pre-service teachers’ attitudes towards reading science texts, “The Scale of Attitudes towards Reading Science Texts” was used. The effects of gender and grade level on the pre-service science teachers’ attitudes towards reading science texts were analyzed with independent samples t-test and the effects of academic achievement and book reading frequency were analyzed with one-way variance analysis (ANOVA). As a result of the study, it was concluded that the gender and grade level variables have significant effects on the pre-service teachers’ attitudes towards reading science texts in the sub-dimensions of making use of science texts when possible, denial and contribution of reading science texts to learning and skills and that the general grade point average and book reading frequency have significant effects on the pre-service teachers’ attitudes towards reading science texts in the sub-dimension of making use of science texts
when possible.
What are the dimensions of thinking skills in Turkish literature: a content analysis study?
Authors: Dilekli Yalçın
Published: April 2019

New world needs thinking generation. However, growing thinking generation is very difficult because there are many discrepancies in defining of thinking and thinking skills. Without defining thinking and its dimensions, it is nearly impossible to grow such generation. For having thinking generation, thinking and its dimensions should be described. In the past 20 years, there have been many different definitions with regard to thinking and thinking skills. But, three different approaches for defining thinking skills and needed basic cognitive operations were commonly accepted. Aim of this study whether these three approaches for defining thinking skills were accepted in Turkish literature or not. For this aim, 14 studies, selected from Turkish database, related to thinking skills were analyzed. According the content analysis results, Turkish literature follows these three movements for defining thinking skills except for belonging to specific areas. 
Cartoon to solve teaching problem on mathematics
Authors: Gokbulut Yasin , Kus Sultan
Published: April 2019

The aim of this study is to determine the effect of mathematics teaching with cartoons on the problem solving skills of primary school 2nd grade students based on addition and substraction. In the research, pretest-posttest control group design of the experimental model was used. In the classroom where the experimental group students were present, cartoon supported education was applied and the current program based teaching method was used in the control group class. The target population of the study consisted of 2nd grade students of all primary schools of the Ministry of National Education of Mersin. The population of the study consisted of 2nd grade students of all primary schools of the Ministry of National Education of Mersin. The study was conducted for 4 weeks in the fall semester of the 2015-2016 academic year. The experimental group consisted of 17 students and the control group consisted of 13 students. In order to determine the validity and reliability of the achievement test used in the study, item analysis was performed with the TAB program. The t-test was used to determine whether there was a significant difference between the pre-test and post-test scores of the groups. As a result of the research, it was observed that the success of the students in the problem solving in addition and substraction education has increased.
Development of preschool social emotional inventory for preschoolers: a preliminary study
Authors: Im Goh Wah , Jiar Yeo Kee , Talib Rohaya Bt.
Published: April 2019

Social-emotional competencies have been established as important predictors in children’s mental health, school readiness and academic success. Age and developmentally appropriate screening for preschool children is important for early detection of developmental delays and early intervention. The purpose of this study is to measure preschool children’s social emotional competencies (SEC) based on the Malaysian context using the Preschool Social Emotional Competency Inventory (P-SECI) developed to provide parents, teachers and childcare professionals with a standardized, norm-referenced, reliable and valid instrument.  A pool of 50 items were created for P-SECI, representing eight clusters of social emotional competencies in children: self-awareness, social awareness, self-management, relationship management, attachment, communication, responsible decision making and pro-social skills. This pilot study involved two public Annex preschools in Johor Bahru, purposely selected with 49 preschool children as respondents. Results showed that P-SECI has a high reliability index (Alpha Cronbach-Teachers .98 and Parents .95). Initial findings also showed that Teachers and Parents differ in their evaluation of their children’s SEC according to age and gender. But for the age criteria, the mean difference is slightly wider in comparison to gender. Therefore, P-SECI is relevant in predicting children’s mental health, school readiness and academic achievement. Results from the study also showed that the inventory holds promise as a reliable and valid instrument to evaluate SEC in young children according to the
 Malaysian context.
Occupational anxiety and self-efficacy levels among prospective teachers
Authors: Durdukoca Şule Fırat , Atalay Tazegül Demir
Published: April 2019

This study examined the relationship between occupational anxiety and self-efficacy levels of prospective teachers enrolled in pedagogical formation training certificate program at the faculty of education in universities under the Council of Higher Education to teach in secondary schools and high schools in Turkey, and evaluated them based on diverse variables (gender, department, high school type, educational level of parents). It was a descriptive study using survey model. The study group comprised 236 prospective teachers. Research data were gathered through “Teaching Occupation Anxiety Scale” and “Teachers’ Sense of Efficacy Scale”. The study concluded that the prospective teachers’ anxiety about the teaching profession was low, whereas they had high occupational self-efficacy, and there was a moderate, negative relationship between the two variables. The study also found that occupational self-efficacy levels of the participants differed in relation to the educational level of father.
Semantic Aware Multi-Agent System Advantages
Authors: Manev Trajche , Filiposka Sonja
Published: April 2019

Internet changes the way people communicate with each other and also affects the business flow. Technology changes affect how people live and communicate with each other, but they themselves also transform and become more human like. The agent oriented programming and multi-agent systems are relatively new example technologies that manifest these changes in a multifacet way. The goal of this paper is to explore the possibilities one can obtain by combining multi agent systems with the emerging semantic web technologies. This powerful combination leads towards new types of complex system development. Using a case study example, together with a comparison with the traditional system design approach, the paper also discusess the possibilities of semantic agent platforms and their development and shows how developers can benefit from following the standards to agent development.
Students’ Perceptions during Integration of Computer Games in Primary Education: QoE Analysis
Authors: Malinovski Toni , Vasileva Marina , Trajkovik Vladimir
Published: April 2019

The integration of computer games in the primary school program is a challenging task which requires changes in the pedagogical approach and teaching practices. Since it is important to understand students, this study follows student-centered approach while evaluating different variables in computer game enhanced classes, which impact the overall students’ Quality of Experience (QoE). We involved a total of 114 students in several primary schools in Macedonia which participated in traditional and game-based learning environment. Students’ feedback was collected through surveys and the data set was analyzed with a path analysis model that illustrates relationships between relevant variables which influence students’ QoE in classes enhanced with computer games. We found that students’ motivation mostly influenced students’ QoE, which was also determined by the increased effectiveness and simplified way of learning. The research results correlated students’ QoE and learning outcomes during integration of computer games in primary schools, which were altogether increased against the traditional environment.
The Establishment of Decision Tree Model in Network Traffic Incident Using C4.5 Method
Authors: Sudarma Made
Published: April 2019

Computer network traffic is computer activity information in a network which explains interconnection between communication processes. The complexity of network traffic itself depends on the number of communication models used. The utilization of classification analyzing of network incident traffic is one of utilization forms of network traffic. The accuracy of classification model itself depends heavily on the formation of data training. The usage of C4.5 method in the establishment of decision tree in data training toward network incident traffic is with the basis to see the efficiency of decision tree formation. Wireshark tool is used as network capture tool to perform data acquisition in the formation of data training.
Performance of Relay Assisted STBC Coded MIMO Wireless Downlink Communication
Authors: Kamruzzaman M.M.
Published: April 2019

In this paper, performance of relay assisted wireless link is evaluated in the presence of rayleigh fading where source (base Station) is equipped with multiple single transmit antenna, relay is equipped with multiple transmit and receive  antennas, and destination (mobile handset) has single receive antenna. Data are modulated using QPSK or 16 QAM or 64 QAM modulator at handset and send to relay which combined and decode the incoming signal using Maximum Likelihood decoding and further encode the symbols using STBC, and the encoded data are split into n streams which are simultaneously transmitted using n transmit antennas of relay. It is observed that relay assisted system having with different combination of transmit and receive antennas at relay provides 11-13 dB  gains compared to direct link at 10-5.
Instantiation in Partial Learning
Authors: Graorkoski Velimir , Madevska-Bogdanova Ana
Published: April 2019

The adaptive learning systems are changing the learning process as we know it. One of the advantages they have over the traditional ways of learning is the attempt to adapt to the learner's capabilities in order to deliver the knowledge as optimizing as possible. Even in such sophisticated implementations there are differences in the treatment of the adaptive learning.

During the past years spent in research of different aspects of the adaptive learning, we made a distinction of our latest development phase as an advanced adaptive learning, having more specific approach to the problem from the phase where the problem of adaptive learning is treated as a general case. Considering the conditions of advanced adaptive learning rather than basic adaptive learning, the process of learning is different and closely related to the human learner. In order to demonstrate this key improvement, we presented a general learner model through its learning mechanism and its behavior in the adaptive learning environment together with the instantiation process. In this paper we present a new way of learning with learning environment instances, constructed by choosing different ways to obtain the knowledge for a target unit.
Chaos Based Image Encryption using Expand-Shrink Concept
Authors: S K Naveenkumar , H T Panduranga , P Kiran
Published: April 2019

Image information security plays a vital role in computing and communication technologies. This paper describes a new concept of expand and shrink to enhance the strength of chaos based image encryption technique. This method consists of both permutations as well as substitution process for image scrambling and encryption. In permutation plain image is shuffled using chaos technique. Input image undergo two times chaos permutation in-between expand and shrink process leads to substitution. Permutation decreases the correlation between the pixel and substitution increases the entropy of encrypted image. Proposed encryption technique works for both gray-scale and color image. From the experiment highly scrambled image is obtained at the end of encryption process. Decryption process employs exactly reverse process of encryption which results in the reconstructed images.
Inteference Mitigation in Femtocellular Networks
Authors: Acakpovi Amevi , Kogue Dominique , Koumadi Koudjo Mawuefam , Tahirou Ibrahim
Published: April 2019

Femtocells can significantly boost up wireless cellular network capacity by reducing communication distances to user equipment and also by reusing resources already utilized in the macrocell network on which they overlay. However, the deployment of femtocells within a macrocell coverage area, causes severe interference between the femtocell and the macrocell, which may have an impact on the overall performance of the femtocells. Avoiding such interference is very important for the effective co-existence of femtocells and macrocell. This paper proposes an algorithm to mitigate cross-tier interference between a femtocell and a macrocell using adaptive power control. The proposed approach is modeled and simulated using MATLAB. The impact on the performance of the femtocell using the proposed algorithm is analysed. Results show that the proposed adaptive power control algorithm has tremendously reduced the negative effects on the system throughput, delay and outage probability for voice and data traffics.
Continuous Real-time Monitoring of Patient’s Vital Signs Based on ZigBee Standard
Authors: Koceski Saso , Kotevska Olivera , Vlahu-Gjorgievska Elena , Trajkovik Vladimir
Published: April 2019

This paper gives an understanding of what possibilities Wireless Body Area Network (WBAN) have when using shortrange wireless communications protocols. There advantages are used to facilitate versatility in the movements of health care patients. The paper investigates the feasibility of using the ZigBee protocol, givean analysis of methods for collection of received data from multi sensor environment, and mechanisms for privacy and data protection by using encryption techniques. This characteristics are applied on previously developed collaborative healthcare system model (COHESY).COHESY is aimed at continuous real time remote patients’ health monitoring.
Proposing a Practical Method for Conceptual Design Process in New Product Development: Medical Glasses as a Case Study
Authors: Phirouzabadi Amir Mirzadeh
Published: April 2019

Nowadays,improving the quality of products, reducing cost and meeting customer’srequirements are necessary to shorten the time of new product development(NPD). NPD is used to describe the complete process of bringing a new product to market and conceptual design process(CDP) is at its early stage and has mostly changed from passive respond toaggressive one. Thus, this study proposed a practical method for CDP in NPDthrough three phases as Converting customers’ requirements to product specifications,Generating and selecting of concepts and Testing and finalizing the concepts byusing some different management-engineering techniques. Firstly, this papertried to prioritize customer’s requirements related to product by AHP (AnalyticHierarchy Process) and convert them to engineering parameters of TRIZ (Theoryof Inventive Problem Solving) in order to define the inventive principals.Next, based on QFD (Quality Function Deployment), we measured the weight valuesof inventive principals. Finally, as FMEA (Failure Mode and Effect Analysis)can analyze the weight values and reduce the sequential risk, then finalconceptual design was generated. At the end, a medical glasses was used as acase study of innovative design to validate the method and explain how thestrategies of this research for CDP.
Decision Support System For A Customer Relationship Management Case Study
Authors: Kart Özge , Kut Alp , Radevski Vladimir
Published: April 2019

Data mining is a computational approach aiming to discover hidden and valuable information in large datasets. It has gained importance recently in the wide area of computational among which many in the domain of Business Informatics. This paper focuses on applications of data mining in Customer Relationship Management (CRM). The core of our application is a classifier based on the naive Bayesian classification. The accuracy rate of the model is determined by doing cross validation. The results demonstrated the applicability and effectiveness of the proposed model. Naive Bayesian classifier reported high accuracy. So the classification rules can be used to support decision making in CRM field. The aim of this study is to apply the data mining model to the banking sector as example case study. This work also contains an example data set related with customers to predict if the client will subscribe a term deposit. The results of the implementation are available on a mobile platform. 
Optical Tomography Sensor Configuration for Estimating the Turbidity Level of Water
Authors: Mohd Khairi Mohd Taufiq , Ibrahim Sallehuddin , Md Yunus Mohd Amri , Mohd Sulaiman Mohd Najmi , Faramarzi Mahdi
Published: April 2019

This paper presents an investigation on an optical sensor configuration to estimate the turbidity level in a sample of water based on tomography technique. The optical sensors consist of infrared light - emitting diodes (LED) as transmitters and photodiodes as the receivers where the projections of the sensors are designed in fan beam mode. The promising results obtained from the analysis of light path detection demonstrated the accuracy of the proposed technique in estimating the turbidity level of water. The approach has potential to contribute and utilize for monitoring the quality level of water in water treatment industries.
Decision Support System using Data Mining Method for a Cross Selling Strategy in Retail Stores
Authors: Tahyudin Imam , Imron Mohammad , Solikhatin Siti Alvi
Published: April 2019

A sales transaction dataof a retail company which is collect edevery day is enormous. Very large data will bemore meaning fultoin crease the company’s profitsif itcanbe extracted properly. Based on the research resultsof Andhika, et al[1], ZhangandRuan[6], Herera et al [7], Witten [11], explained that one of the methods that can gather information from the transaction data is the method of association. With this method it can be determined the patterns of transactions performed simultaneously and repeatedly. Thus, it can be obtained amodel that can be used as a reference for cross selling sales strategy. The purpose of this research is to apply data mining association methods of data mining by using apriori algorithm to create a new sales strategy for cross selling. Based on calculations, Association Rule is implemented by applying Confidence value=0.8while the value of Support=0.1 of the defined minimum value, the total result are 77 rules.

Keywords: Data Mining, Association, Apriori Algorithm, Cross Selling, Retail Stores
Optimal Cluster Head selection in Wireless Sensor Networks using Integer Linear Programming Techniques
Authors: Eskandari Zahra , Hosseini Seno Seyed Amin , Shenify Muhamed , Budiarto Rahmat
Published: April 2019

Wireless sensor network (WSN) consists of sensor nodes which are deployed in the environment densely and randomly. The main constraint of these nodes is limited energy resources, so, the operations which are performed in the network, must be energy efficient. For this reason, routing and data transmission in these networks perform hierarchically and in multi hop manner. One of these hierarchical architectures which have a considerable positive effect on energy consumption is clustering algorithm. But what is important is that the cluster heads election should be done efficiently. Recently some works have focused on optimal cluster head election using Integer Linear Programming techniques. In this paper, Integer Linear Programming techniques are used to formulate the clustering problem.  At first, by using Integer Linear Programming techniques, a scalable and multi objective model for optimal cluster head selection is presented and then the distributed clustering algorithm is proposed. As shown in simulation results, the proposed clustering algorithm is more efficient in terms of energy vs. LEACH algorithm.
Determination of Number of Channels in Multiple Access Techniques for Wireless Communications
Authors: Miriampally Venkata Raghavendra , Subba Rao G. , Sudheer Raja V
Published: April 2019

In wireless communications system, it is desirable to allow the subscriber to send simultaneously information to the base station while receiving information from base station. Multiple access techniques are used to allow many mobile users to share simultaneously a finite amount of radio spectrum. Frequency division multiple access (FDMA), time division multiple access(TDMA), and code division multiple access (CDMA) are the three major access techniques used to share the available bandwidth in a wireless communication system. In this paper we calculated the number of channels required for FDMA & TDMA techniques depending on various factors such as spectrum, channel band width etc.
Investigational Security Structural Design Using Client and Server Ambitious Protocols for WMN
Authors: Kandeeban Selvakani , Kumar N Suresh
Published: April 2019

Wireless mesh network plays an vital role in our day to day life, Networks are mainly used to deliver voice, video and data but using WMN’s we can communicate in outdoor environments without wired. A wireless mesh can deliver network capacity, reliability and security along with the flexibility. Nowadays the WMN’s are used by municipalities, public safety agencies, port authorities, and industrial organizations to connect to their workers and constituents. However, many technical issues still exist in this field. In order to provide a better understanding of the research challenges of WMNs,   In this paper we propose MobiSEC, a complete security architecture protocols and algorithms for WMNs that provides both access control for mesh users and routers as well as a key distribution schemes that supports layer-2 encryption to ensure security and data confidentiality of all communications that occur in the WMN.
Compression Techniques Vs Huffman Coding
Authors: Kumar Vikas
Published: April 2019

The technique for compressioning the Images has been increasing because the fresh images need large amounts of disk space. It is seems to be a big disadvantage during transmission & storage of image. Even though there are so many compression technique already presents and have better technique which is faster, memory efficient and simple, and friendly with the requirements of the user. In this paper we proposed the method for image compression and decompression using a simple coding technique called Huffman coding and show why this is more efficient then other technique. This technique is simple in implementation and utilizes less memory compression to other. A software algorithm has been developed and implemented to compress and decompress the given image using Huffman coding techniques in a MATLAB platform.

 
Simulation of PCI Express™ Transaction Layer Using Hardware Description Language
Authors: Miriampally Venkata Raghavendra
Published: April 2019

PCI Express is a high-speed serial connection that operates more like a network than a bus. PCI Express will serve as a general purpose I/O interconnects for a wide variety of future computing and communications platforms. PCI Express (PCIe) is implemented with a split-transaction protocol that provides more bandwidth and is compatible with existing operating systems. PCI Express has three discrete logical layers: the Transaction Layer, the Data Link Layer, and the Physical Layer. This paper  analyze and simulates the function of Transaction layer  IP core in the System Level with top-down design method, wrote the codes to implement Transaction Layer using Very high speed hardware description language (VHDL) and provided the simulation results using Active HDL Simulation tool. The simulation result shows that the designed IP core meets the required protocol specifications for the proper functioning of PCI Express Transaction layer.

 
Prediction Status Nutrition using by Body Mass Index on Mobile Device
Authors: Esaku Adri Vendi
Published: April 2019

This paper is aim to predict nutrition status using by the Body Mass Index (BMI). BMI for men and women are obtained from the calorie needs. Calorie requirement is used to determine energy needs. The energy needs are determined by the needs of Protein, Carbohydrate, Fat, Vitamin and Mineral. The paper is made in the form of an application program using Mobile Programming. Mobile Programming by implementing Reverse Engineering. The tool used is a J2ME application on cell phone emulator having minimal CLDC, CDC 1.1, MIDP 2.0 and MIDlet. Main contribution, BMI as the simple, fast and easy to used method. BMI can be used to determine the nutrition status of individual. The benefit for individual reduce the cost of healthcare. The new result is the prediction of the nutrition status of individual using by BMI can be applied with new ways through the Mobile Application on Mobile Device, that is implemented to the cell phone. Mobile Application is a medium for the user can be accessed anytime and anywhere. It is known an application that can yield the rational decision in predicting the nutritious needs of families.
One-Bit Hard Combination Decision Scheme for Cooperative Spectrum Sensing in Cognitive Radio
Authors: Hossain Md. Shamim , Abdullah Md. Ibrahim , Hossain Mohammad Alamgir
Published: April 2019

In this paper, the performance of 1-bit hard combination decision scheme for cooperative spectrum sensing in Cognitive Radio has been studied to maximize the probability of primary user detection. Energy detector model is used to observe the presence of primary user signal. Simulation result shows that the probability of missed detection is decreasing for both conventional and 1-bit hard combination OR rule with increasing the probability of false alarm correspondingly. It also has demonstrated that 1-bit hard combination decision scheme exhibits comparable performance with the conventional one-bit scheme and thus achieves a good tradeoff between performance and complexity.
DSS using AHP in Selection of Lecturer
Authors: Adriyendi Adriyendi , Melia Yeni
Published: April 2019

This paper was conducted to apply Analytical Hierarcy Process (AHP), applied as Decision Support System (DSS) model in selection of lecturer at STAIN Batsangkar. Data collected by through observation and interview done in shares of administration academic data center at college. Here in  data analyzed to learn the pattern from method used and added with the reference from literature. Experiment done using Microsoft Excel and Expert Choice Software, known that method can yield the optimal decision in selection of lecturer. There by the method recommended to be applied to getting optimal result in decision making.
Two Term Approximation for Near Field Analysis of Wire Scatterers
Authors: Yavalkar Vaibhav Suresh
Published: April 2019

This paper presents an analysis of near field of wire scatterers. In this paper, the exact distribution on wire scatterers is approximated using a more accurate two term approximation for the ease of closed form analysis. It has been shown that the results obtained using the two term approximation are very close to the cosinusoidal distribution for the element length up to 0.7  with less than 5% error in the field evaluated from this approximation. This analysis formulation is useful in estimating fields form wire scatterers, mutual coupling in an array of scatterers or analysis of Yagi-Uda antennas.
The Comparison of Access Point Signal Gain with Beverage Cans
Authors: Ariyani Ni Wayan Sri
Published: April 2019

Computer network development depends on the development of information technology and communication. Several things as the reasons to develop the technology of computer network are implementing communication flexibly which in this case in the theory of computer network is to build wireless network communication. The existence of wireless communication as the comparison against wired network, having different impairment compared to wired communication. One of which is the weakening of wireless signal strength towards the ongoing communication distance. Therefore in wireless communication currently plenty of it being implemented, to handle the occurring impairment due to distance influence, it is needed for signal amplifier device. One of signal amplifier that can be used in the surroundings which is economical and practical is by using used beverage can.
Improved Semantically Secured Variant of RSA Public Key Cryptosystem
Authors: Pradhan Sushma , Sharma Birendra Kumar
Published: April 2019

Boneh and Shacham gave a nice survey on four variants (Batch RSA, Multi-Prime RSA, Multi-Power RSA, and Rebalanced RSA). Batch RSA and Multi-Prime RSA were then combined to increase the decryption/signature generation performance. Here in this paper we further tried to increase the encryption/ signature verification performance. The proposed scheme is semantically secure also.
Resource Sharing in Libraries on Cloud Landscape: Potentials and Paradoxes
Authors: Yuvaraj Mayank
Published: April 2019

The initial hype of any development can eclipse its practical applications. The present paper attempts to separate the hype of cloud computing and explores the possibilities of resource sharing in libraries through Cloud Computing. The present study is based on the usage pattern of cloud computing in libraries and explores a model for resource sharing. It also proposes a cloud based resource sharing framework for moving from ground to the cloud. Although a lot of work has been done on cloud computing yet none of the works has been dedicated to the cause of libraries. With the development of electronic resources and shift in user’s preference of online services there is an urgent need of change in library practices.
Soft Systems Methodology (SSM) as a Viable Methodology for Knowledge Engineering: A Literature Review
Authors: Chukwunonso Franklyn
Published: April 2019

This paper presents a baseline perspective of knowledge engineering (KE) methodologies by taking a critical look at the methodological approaches currently used in knowledge engineering domain. A literature review bordering on; the knowledge role concept, knowledge elicitation techniques, and ontological approaches employed in knowledge engineering for the construction of knowledge-based systems (KBSs) was carried out. Journal and conference articles were sourced from multiple journals and research databases and a multi-step manual cross-checking based on carefully selected extraction and quality criteria were employed. The findings of the study show that the existing methodological approaches employed for constructing KBSs in KE is highly deficient and inefficient for solving KE problems under dynamic and uncertain environments. The paper concludes by presenting a strong argument as to why soft systems methodology is best suited for constructing knowledge base systems (KBS) in a spatially distributed, unstructured and shared domain specific context.
Attack Detection in a Rule-Based System Using Fuzzy Spiking Neural P System
Authors: Rufai Kazeem Idowu
Published: April 2019

The virtual area of communication known as cyber space brought about by the debut of the internet has enabled some cyber crimes – ‘Intrusion’ inclusive. So, efforts are being geared towards ensuring that reliable and efficient Intrusion Detection Systems (IDSs) are developed to curtail this menace. However, Spiking Neural P (SN P) systems have been established as a class of distributed parallel computing models. So, in this paper, a novel network intrusion prediction model based on trapezoidal Fuzzy Reasoning Spiking Neural P (tFRSN P) system, is implemented for the very first time for the detection of intrusion. tFRSN P system is an extension of SN P system. It has a graphical modeling advantage which makes it well suited for fuzzy reasoning as well as fuzzy knowledge representation using If-Then rules. The dynamic firing power of neurons is harnessed in a simple parallel matrix-based fuzzy reasoning format to generate inferences. To establish the effectiveness of this approach especially in the area of speed of parallel reasoning and the handling of uncertainties, detection of Brute Force Attack (BFA) is used for demonstration. From the crisp results (0.0431, 0.0414, 0.4453, 0.1703 and 0.0414) obtained, it shows that the parallel processing capability of tFRSN P system could be used to rapidly reason and analyze the severity (possibility of an attack) from any network data.
Half Iris Matching Based on RED Algorithm
Authors: Al-Hillali Akeel Ali , Omran Safaa S
Published: April 2019

Iris recognition is one of the most accurate identification method and it is powerful for secure of information and identification between users. The Ridge Energy Direction (RED) algorithm is the most accurate and fast approach for iris recognition.  The RED algorithm reduces the effects of illumination, since only direction is used. The RED algorithm is applied after a normalization process consisting on two filter types (horizontal and vertical). This paper extends this algorithm by considering the lower portion of the iris because this portion is affected with less noise. We used different size of RED filter on Iris in order to compare the accuracy and time between them. We found that the higher filter size gives more accuracy but more processing time
Audio Watermarking Based on Hybrid Low and High Wavelet Frequencies
Authors: Mohammed Aree Ali
Published: April 2019

Transform-domain digital audio watermarking has a performance advantage over time-domain watermarking by virtue of the fact that frequency  transforms offer better exploitation of the human auditory system (HAS). In this research paper an adaptive audio watermarking is proposed based on the low and high wavelet frequencies band (LF, HF). The embedded watermark can be of any types of signal (text, audio and image). The insertion of the watermark data is performing in a frequency domain after applying discrete wavelet transformation on the cover audio segments. The normalize correlation and the signal to noise ratio metrics are used to test the performance of the proposed method in terms of the robustness and imperceptibility. Test results show that an improvement of the robustness against some type of attacks when the watermark is adaptively embedded in a different wavelet bands.
Perform Measuring by Using Image Processing
Authors: Ebraheem Sundus Khaleel
Published: April 2019

The development of ability of the computer leads to improve the abilities of digital image processing, because of the traditional measuring work needs much effort in the site for different fields, and has its difficulties and shortcoming points; therefore this paper introduces improvement for the method to solve the measuring problem, by using digital image processing. This paper improved the system of perform measuring of material for buildings by calculating the volume furthermore the area and dimensions for any position was pointed by the user. The improvement involved in addition to that correction the position of pointed point in case of zooming. The system was designed by using MATLAB R2012b language. The system has implemented on different images and different dimensions as well as on video, it showed accurate results in calculating specific dimensions, areas and volume which defined by the user in the image.