bluuebunny/crossref_metadata_2025 huggingface dataset:
Промышленно-образовательные кластеры и их роль в формировании экономики нового типа
Authors: Корякина Татьяна Валерьевна
Published: March 2019

Работа посвящена проблематики формирования промышленно-образовательного кластера как механизма координации параметров спроса и предложения на региональных рынках труда, а также их роли в формировании экономики нового типа. Показано, именно за счет государственной инициативы возможно осуществить реиндустриализацию отечественной экономики при параллельном решении проблем формирования промышленного потенциала страны и его кадрового обеспечения.
Мониторинг показателей продовольственной безопасности стран Евразийского экономического союза в контексте евразийской интеграции
Authors: Вартанова Марина Львовна , Газимагомедова Патина Казимовна , Салаватова Наида Алиасхабовна
Published: March 2019

Положительные тенденции финансового оздоровления продовольственного обеспечения стран ЕАЭС возможны лишь в условиях принципиальных перемен в аграрной политике, методах и механизмах ее осуществления. Основным признаком таких перемен должно стать реальное соблюдение приоритета продовольственной безопасности. По мере насыщения внутреннего рынка отечественными товарами акцент согласованной политики стран ЕАЭС будет смещаться в сторону активизации взаимодействия в сфере продовольственного обеспечения. Это понимание предопределяет действия, направленные на укрепление интеграционных процессов в Евразийском экономическом союзе. Основой для успешного осуществления согласованной аграрной политики в ЕАЭС является следование принципам равенства и учета интересов всех государств-членов Евразийского экономического союза, выработка компромиссных, взаимовыгодных и взаимоприемлемых решений, скоординированное обеспечение продовольственной безопасности.
RANKING OF FACTORS AFFECTING THE MOBILIZATION OF BANK RESOURCES USING ANALYTICAL HIERARCHY PROCESS (CASE STUDY: IRANAIN HEKMAT BANK)
Authors: Hashemi Dehchi Majid , Nasirzadeh Elnaz
Published: March 2019

Purpose: The purpose of this study is to identify and rank the factors affecting the resources mobilization of Iranian Hekmat Bank.Methodology: In this research, six main factors are considered in mobilizing resources and deposits of customers of the bank. The statistical population of this research is senior credits managers of Iranian Hekmat Bank. The ranking of these factors has also been done using Analytical Hierarchy Process (AHP) and Expert Choice Software (ECS).Main Findings: The results of this study showed that the factor of loyalty and organizational affiliation has the most impact on resources mobilization. Afterwards, communications and human factors, financial factors, advisory factors, service factors and physical factors are effective in mobilizing bank resources, respectively.Implications: The results of this study can be used to increase the quality of mobilization which directly affects the profitability of resources. Also this research can help other banks to absorb the financial resources and increases the level of invest in the banks. In addition it can help banks to improve their loan paying.Novelty: This research has focused on the large number of factors which can affect mobilization of bank resources which other previous researches have not addressed all these factors together. No other previous researches have focused on the strategies of fundraising, but in this research this goal has been focused.
ECOTOURISM POTENTIALS OF THE MAJANG FOREST BIOSPHERE RESERVE. GAMBELLA, SOUTH WEST ETHIOPIA
Authors: Fakana Selemon Thomas , Choudhary Chiranjib Kumar , Mengist Alemken Berihun
Published: March 2019

Purpose – the purpose of this study was to identify ecotourism potentials of the Majang Forest Biosphere Reserve.

Methodology – The study employed qualitative research approach using an exploratory research design. Data was collected through in-depth interviews and focus group discussion besides to field observations. Accordingly, key informants interviewees were held with 12 villages senior leaders (n=60), key informants from 6 departments (n=30) and NGO experts (n=5). Altogether, 95 respondents were involved in this study

Findings – The results of this research revealed that fauna and flora (87%), water bodies (waterfalls, rivers, and lakes) (82%), cultural attractions (54%), manmade attractions as well as historical sites are found to be the major ecotourism potentials of the Biosphere Reserve.

Originality – The study provides complied information of ecotourism potentials of the Majang Forest Biosphere Reserve, which has not been explored before. It enhances the concept of ecotourism and level of understanding of stakeholders in ecotourism potentials of the biosphere. Its findings contributes to better conservation of the biosphere reserve through creating awareness and commitment to decision makers, politicians, experts, leaders, eco-tourists, local community, etc.

Social Implications - Majang Forest Biosphere Reserve has endowed numerous ecotourism potentials. However, the flow of eco-tourists to the destination and ecotourism activities are very weak. As a result, local communities living around biosphere reserve are less benefited from the ecotourism development. This study promotes ecotourism potentials of the biosphere reserve. It enhances the benefit of local communities through ecotourism activities like tour guiding association, beekeeping, souvenir shops, cultural shows, horse riding services, offering cultural foods, drinks and dressings.

Limitations – Further deep study is vital to identify more ecotourism potentials. Promotion and marketing strategies need to be adopted and promoted wherein using internet, big hoardings, billboards, posters, and travel desks. Infrastructures should be improved eco-friendly to facilitate ecotourism activities.
Statistical Characterization of Indian Residential Networks for Powerline Communication
Authors: Kasthala Shashidhar , Venkatesan GKD Prasanna , Amudha A
Published: March 2019

Despite different powerline channel modeling techniques, developed so far, there are still specific dynamic, varying parameters (viz. the random load variation and inconsistent electrical wiring) to be studied for a valid and reliable power line communication (PLC) model. Statistical characterization of PLC channel may provide the required background for refinement of these existent models. In this paper, the Indian residential networks are statistically analyzed in the frequency range of 1-100 MHz. This also includes the comprehensive analysis of line impedance, stationary noise, channel capacity and average channel gain. From the measurements, the noise spectrum density is found to be less than -90 dBm at a frequency less than 1 MHz and is almost constant after 70 MHz. The minimum and maximum channel capacity of the network is 71.5 Mbps and 97.7 Mbps respectively. The Average channel gain is estimated at -30 dB. The paper also reviews the channel transfer function developed by top-down and bottom-top approaches.  Finally, some additional factors influencing the PLC channel are also discussed.
Anti-Theft Vehicle Tracking System Using GPS and Location Prediction
Authors: N.M. Dhanya
Published: March 2019

Currently the number of private vehicles is increasing day by day and hence the importance of tracking and theft prevention.  Recently the vehicle tracking systems are getting wide popularity and can be used in tracking in case of stolen vehicles. Real-time applications like Vehicle Tracking System is developed using Arduino board with a microcontroller. We have developed a vehicle tracking system with a Smartphone which is less expensive and reliable when compared to the existing system as there is no need for extra hardware. The objective is to develop an application for tracking vehicles, which will help the cab owners to track their car all the time and to predict the location of the vehicle in the case of a failing GPS (Global Positioning System). Time series prediction algorithm is used to predict the location of the vehicle if GPS is in off mode. The vehicle tracking system installed will update the GPS coordinates of the vehicle continued to the cloud, and this data can be used for predicting the location of the vehicle in case of emergency. This system can also be used to generate the bills after finishing the freight in the form of an SMS based on the distance traveled, which can be calculated from the latitude and longitude data. The GPS data can be mapped to the Google maps to track the location in real time. Compared with the existing system, this system is having the advantage of location prediction from the historic location data, and the cost is reduced by almost half.
Prioritizing Criteria of Earthquake Safe Housing in Earthquake Prone Areas: A Case of Housing in Padang City
Authors: Fithri Prima , Hadiguna Rika Ampuh , Putri Puti Gina K I
Published: March 2019

The aims of this research are to determine earthquake-safe housing development criterion in Padang City and find the relationships level of these criterions with customer requirements. The data of consumer perceptions on which is safe houses in prone areas to earthquake and tsunami was collected by questionnaires. The questionnaires used in this research were divided into two phases. In the first phase, the questionnaires were distributed to 30 consumers for the purpose of validation. In the second phase, the questionnaires were disseminated to 109 residents (consumers who buy housing on "Tsunami Yellow Zone" and developers who develop housing on the same area) and the results were processed using QFD (Quality Function Deployment) and AHP (Analytical Hierarchy Process). AHP showed the priority level of each indicator within the criteria. The results of this research, It can be seen that criteria for earthquake-safe housing development in the city of Padang can be sorted as follows: Implement technical factors in building earthquake-safe homes, Taking into account the legal and environmental aspects, Providing service facilities around the housing, Housing facilities and infrastructure, Marketing factor friendly, Low Cost and Pay attention to the aesthetics surrounding factors of housing. This research focused on housing developers and consumers in a disaster-prone area such as Padang City. The value of this research is to know the consumer requirements and its relationships with developer’s technical characteristics. In the end, these developers will consider the criteria that required by the consumer and make the developed safer housing for consumers at the disaster-prone area.
Non-destructive Evaluation of Monosaccharides from Two Local Rice Varieties Using NIR Spectroscopy for Disease Prevention Through Dietary Mitigation
Authors: Makky Muhammad , Putry Renny Eka , Nakano Kohei , Santosa Santosa
Published: March 2019

The risk of diabetes mellitus (DM) and obesity in modern society is increasing. Uncontrolled diet and high carbohydrate consumption lead to the increase of new cases. Determined the exact amount of daily carbohydrate intake and dietary mitigation is among other solution that requires further study. In this research, two local rice varieties that commonly consumed in Padang, Indonesia, namely Bakwan and Sokan Pulau were evaluated both optically and chemically. The study used NIR spectroscopy analysis and ultra-high-pressure liquid chromatograms (UHPLC) assay to elaborate chemical compounds in the samples. The evaluation was performed to determine differences between glucose and fructose concentrations in both varieties measured at various rice qualities. The results of spectral measurements were then correlated with UHPLC data using two statistical methods, the principal component analysis (PCA) and partial least square (PLS). Models developed by the PCA and PLS were calibrated and subsequently validated. Results showed the model produced a high correlation rate for both glucose and fructose content in two rice varieties. Also, the study found that glucose content of Bakwan is higher than Sokan Pulau as well as fructose content, except for the lowest quality "Sokan Island" rice (Assorted). The results open the opportunity for policymakers as references and to create a healthier consumption pattern policy for low-income society in Padang.
The Characteristics of LiFePO4/Copper Nanoparticles/Carbon Nanotubes Composites Used as Lithium Ion Battery Cathode
Authors: Sofyan Nofrijon , Sari Ratna Permata , Zulfia Anne , Kartini Evvy
Published: March 2019

Copper nanoparticles and carbon nanotubes (CNTs) have been used to form a LiFePO4/Cu nanoparticle/CNT (LFP/Cu/CNT) composites and applied as an active material in lithium ion battery cathode. The composites were prepared by mixing commercial LFP powders with a variation of copper nanoparticles and or CNT compositions in a vacuum mixer. The mixture was then applied onto an aluminium foil as a cathode current collector. For the characterization, X-ray diffraction (XRD) was used to confirm the phase, grain size and the presence of the impurities, whereas the morphology of the surface was characterized by using field emission scanning electron microscope equipped with energy dispersive X-ray spectroscopy (FESEM/EDX). The electrical conductivity of this cathode material was tested by using electrochemical impedance spectroscopy (EIS). XRD results showed that the composite has single phase LFP form and that the presence of copper nanoparticles and CNT were not detected in the crystal structure. Morphology and distribution of CNT and copper nanoparticle analysed using FE-SEM/EDX showed mixed materials in the variation of copper nanoparticles and CNTs with homogenous and even distribution of particle size in the range 100-300 nm. The electrical conductivity of LFP increased with the addition of copper nanoparticles at a certain level with 1-order of magnitude, whereas almost 3-order of magnitude with the addition of both copper nanoparticles and CNTs. The addition of CNTs alone, however, is more effective in increasing the conductivity as compared to the addition of copper nanoparticles due to the inevitable formation of secondary phase revealed by the EIS diagrams.
Evaluation of Drought Vulnerability on Watersheds in West Sumatera Province by Using Cropwat-8 and GIS
Authors: Daoed Darwizal , Rusman Bujang , Istijono Bambang , Hakam Abdul , Syukur Masril
Published: March 2019

Differences in temperature, duration of irradiation, wind speed, watershed shape, slope, and rainfall are the factors that determine the amount of evaporation and discharge flow also characterizing of the watershed. As noted, the difference between the maximum and minimum temperatures is over6 14í¢”žÆ’">  and the dry season happens mostly from May to October in West Sumatra Province each year. It, of course,will affect the magnitude of potential evapotranspiration and the minimum water flow that tend to decrease. Therefore, a particular evaluation of the impact of drought or susceptibility to water potential of the watersheds in the Areas of Akuaman River of West Sumatra should be undertaken. The methods used were the standard of Ministry of Forestry of Indonesia- the Agency for Research and Development of Forestry and the Center for Research and Development of Conservation and Rehabilitation 2012 and Arc-GIS-10.3 software to determine the index of vulnerability to drought and Cropwat-8to calculate evapotranspiration by Penman-Monteith method. The evaluation results show evapotranspiration value was 5.32 mm / day, 161.7 mm / month and the category of susceptibility tended to be medium and somewhat vulnerable. A review of the aspect of service levels of the use of water and minimum specific discharge is seen that in small watersheds 14Aí¢”°¤100 km2">  is more susceptible to get drought than larger basins. It is therefore suggested to stakeholders to consider the possibilities for watershed integration as a solution to improve water supply for irrigation.
Tannin Extraction from Bark of Rhizophora Mucronata Using Soxhlet and Boiling Techniques
Authors: Muhammad Muhayyidin Ahmad Hafizan , Ghazali Nurul Aimi , Abu Bakar Noor Fitrah , Ibrahim Wan Asma , Sauki Arina , Hassan Zulkafli
Published: March 2019

Extraction of tannin Rhizophora Mucronata barks by using two methods, which were soxhlet extraction and boiling were demonstrated in this study in order to evaluate the effective technique for extraction. Several parameters such as the type of solvent used, time of extraction, and sample size were specified. The extractant was then evaporated using vacuum rotary evaporator. The percentage of extractives and the characterization of condensed (Stiasny Index) and hydrolyzable tannins were all quantified. The milled barks with different sizes were introduced to the extraction using water, methanol, acetone, and toluene as a solvent for three, six and nine hours for Soxhlet extraction while for boiling only water were used as a solvent and at four, six and eight hours. Results demonstrated that extraction from the bark of Rhizophora Mucronata with water for six and nine hours extracted approximately 29 wt% and 13wt % for both soxhlet extraction and boiling respectively when coupled with vacuum rotary evaporator. The Soxhlet extraction method was superior as compared to boiling. The optimum parameters for the Soxhlet extraction were water as the solvent at six hours extraction with 0.5 mm of milled bark particles size that extracted 29 wt% of extractives. The condensed tannin and hydrolyzable tannin of the extractives using soxhlet extraction were approximately 76 wt% and 0.00133 wt% respectively.
The Effect of Water-Cement Ratio on Sulfate Resistance of Self-Compacting Concrete with Bagasse Ash
Authors: Hanafiah Hanafiah , Hasyim Saloma , Yuwenka Devin , Firdaus M Emirzan
Published: March 2019

Previous study showed so many factors will contribute to the durability of concrete, such as cement content, water cement ratio, admixtures to be used, compaction dan curing methods. Two types of admixtures for concrete mixture can be used, e.g. chemical admixture and mineral admixture. Materials can be categoried as mineral admixture such as fly ash, silica fume, risk husk ash, and bagasse ash. Sulfate resistance of concrete is one of the examples of chemical durability of concrete. Self-Compacting Concrete (SCC) known as concrete which can flow within its self-weight and without forming honeycombing, segregation and bleeding, even with no compaction. In this experimental work, bagasse ash was used in concrete mixture as partial replacement of cement with the percentage of 10%, 15% and 20%. The variation of w/b were used e.g 0.275, 0.300 and 0.325. For the purpose to stipulate the sulfate attack on concrete, the cylinder specimen with size of 100 x 200 mm and magnesium sulfate solution with 5% and 7% molarity were used. To observe the percentage of concrete weight loss, all the specimen were immersed in this solution within 28 days. The result showed that the value of compressive strength for the specimen with w/b = 0.275 and 15% bagasse ash was up to 67.240 MPa for 28 days and 68.096 MPa for 56 days without immersion in magnesium sulfate solution. The highest percentage of concrete weight loss is 3.030% yielded from the specimen with w/b = 0.325 and 0% bagasse ash which was immersed in 7% molarity of magnesium sulfate solution.
Fungal Production of Xylanase from Oil Palm Empty Fruit Bunches via Solid State Cultivation
Authors: Mardawati Efri , Kresnowati MTAP , Purwadi Ronny , Bindar Yazid , Setiadi Tjandra
Published: March 2019

The abundance of Oil Palm Empty Fruit Bunches (EFB), the lignocellulosic biomass waste from Crude Palm Oil (CPO) industries, offers a potential for its application as raw material for biorefinery. Its xylan content in particular, suggests that EFB can be used as raw material for xylanase production. This article studies xylanase production by fungal Trichoderma viride ITB CC L67, Aspergillus niger ITB CC L51, and Penicillium sp. ITB CC L96 using EFB as the substrate in solid state fermentation. The aims of this research are to evaluate the incubation time to produce the highest xylanase activity, to explore the effect of particle size of EFB on xylanase activity and to determine the optimal operation condition of each significant variable, including temperature and substrate ratio (g EFB in mL liquid medium) using Response Surface Methodology (RSM).  The method of Central Composite Design (CCD) is employed to investigate the individual crucial component of the operation condition, which significantly affected the enzyme activity. The incubation time of  T. viride, A. niger, and Penicillium sp. were observed to produce xylanase .  The result show that the xylanase activity is increase in the early phase of incubation at 0-36 hours, and remained constant afterward. At the time of 36 hours, the activity of xylanase produced by T. viride, A. niger and Penicillium sp. were subsequently 815 U/mL, 624 U/mL and 789 U/mL or equal to 8,146 U/g, 6,243 U/g and 7,892 U/g dry substrate. The particle size of the EFB is affect the growth and hence affects on xylanase production. It shows that the smaller size of EFB resulted in better fungal growth, which was indicated by higher biomass dry weight and higher protein content, as well as higher xylanase activity. The optimum conditions obtained xylanase activity is 740.6 U/mL or 5,095.5 U/g substrate, produced by T.viride ITB CC L.67 at 32.8oC and substrate ratio of 0.63.
Consistency Check between XML Schema and Class Diagram for Document Versioning
Authors: Ibrahim Rosziati , Aman Hannani , Nayak Richi , Jamel Sapiee
Published: March 2019

A consistency check between design and implementation is usually done in order to check the correctness of the system’ requirements. However, if the requirements are changed over time, then the document versioning occurred within the requirements. For XML Schema, document versioning exists when there is a change in the XML Schema from its previous Schema. In order to detect the versioning of both XML Schemas, consistency rules check need to be performed to both class diagrams produced by both Schemas. The consistency between two XML Schemas is checked based on transformation rules and versioning rules. Transformation rules are used for translating the XML Schema into the class diagram, and versioning rules are used for checking the existing of document changes between two XML Schemas. Once two XML Schemas are different the consistency rules will be used for the consistency check. This paper presents an approach based on transformation rules and versioning rules to check consistency between XML Schema and UML class diagram when document versioning exist. The approach is then used for the case study to show how the consistency is checked in order to detect the versioning of two different XML Schemas. Based on the case study, the approach shows that two XML Schemas can be checked for their consistency when document versioning exist.
Classification of Spatio-Temporal fMRI Data in the Spiking Neural Network
Authors: Saharuddin Shaznoor Shakira , Murli Norhanifah , Hasibuan Muhammad Azani
Published: March 2019

Deep learning machine that employs Spiking Neural Network (SNN) is currently one of the main techniques in computational intelligence to discover knowledge from various fields.  It has been applied in many application areas include health, engineering, finances, environment, and others.  This paper addresses a classification problem based on a functional Magnetic Resonance Image (fMRI) brain data experiment involving a subject who reads a sentence or looks at a picture.   In the experiment, Signal to Noise Ratio (SNR) is used to select the most relevant features (voxels) before they were propagated in an SNN-based learning architecture.  The spatiotemporal relationships between Spatio Temporal Brain Data (STBD) are learned and classified accordingly. All the brain regions are taken from data with label star plus-04847-v7.mat. The overall results of this experiment show that the SNR method helps to get the most relevant features from the data to produced higher accuracy for Reading a Sentence instead of Looking a Picture.
Performances Analysis of Heart Disease Dataset using Different Data Mining Classifications
Authors: Wan Zunaidi Wan Hajarul Asikin , Saedudin RD Rohmat , Ali Shah Zuraini , Kasim Shahreen , Sen Seah Choon , Abdurohman Maman
Published: March 2019

nowadays, heart disease is one of the major diseases that cause death. It is a matter for us to concern in today’s highly chaotic life style that leads to various diseases. Early prediction of identification to heart-related diseases has been investigated by many researchers. The death rate can be further brought down if we can predict or identify the heart disease earlier. There are many studies that explore the different classification algorithms for classification and prediction of heart disease. This research studied the prediction of heart disease by using five different techniques in WEKA tools by using the input attributes of the dataset. This research used 13 attributes, such as sex, blood pressure, cholesterol and other medical terms to detect the likelihood of a patient getting heart disease. The classification techniques, namely J48, Decision Stump, Random Forest, Sequential Minimal Optimization (SMO), and Multilayer Perceptron used to analyze the heart disease. Performance measurement for this study are the accuracy of correct classification, mean absolute error and kappa statistics of the classifier. The result shows that Multilayer Perceptron Neural Networks is the most suited for early prediction of heart diseases.
Internet of Things: An Implementation and Its Challenges in Malaysia
Authors: Badarudin Ummi Wahida , Wan Din Wan Isni Sofiah , Prasetyo Yuli Adam , Musa Zalili , Kasim Shahreen
Published: March 2019

to date, the Internet becomes one of the technologies that is rapidly evolving and changing. It has become trending over the world. The Internet of Thing is a mechanism composed of devices, sensors, networks, cloud storage, and application. Each device able to communicate with another device over the Internet to share the information and accomplished some objectives. IoT is known as one of the new future technologies and were gaining attention from various fields over the countries. Malaysia is one of the countries in the planning stage to increase the development of IoT, which is equivalent to other countries with the emerging IoT applications development. However, it was not easy to develop IoT devices due to some issues and challenges in implementing IOT devices. This paper addresses the major concern and challenges in IOT and the solution how to overcome these issues. The future trends and applications of IoT were also briefly discussed in this paper for gaining more in-depth knowledge about the IOT technology.
Classification of Polymorphic Virus Based on Integrated Features
Authors: A Hamid Isredza Rahmi , Subramaniam Sharmila , Abdullah Zubaile
Published: March 2019

Standard virus classification relies on the use of virus function, which is a small number of bytes written in assembly language. The addressable problem with current malware intrusion detection and prevention system is having difficulties in detecting unknown and multipath polymorphic computer virus solely based on either static or dynamic features. Thus, this paper presents an effective and efficient polymorphic classification technique based on integrated features. The integrated feature is selected based on Information Gain (IG) rank value between static and dynamic features. Then, all datasets are tested on Naí¯ve Bayes and Random Forest classifiers. We extracted 49 features from 700 polymorphic computer virus samples from Netherland Net Lab and VXHeaven, which includes benign and polymorphic virus function. We spilt the dataset based on 60:40 split ratio sizes for training and testing respectively. Our proposed integrated features manage to achieve 98.9% of accuracy value.
A Review on Missing Tags Detection Approaches in RFID System
Authors: Zainudin Nur'Aifaa , Mahdin Hairulnizam , Saedudin Rd Rohmat , Sanusi Azmi Mohd , Makhtar Mokhairi , Misran Norhailawati
Published: March 2019

Radio Frequency Identification (RFID) system can provides automatic detection on very large number of tagged objects within short time. With this advantage, it is been using in many areas especially in the supply chain management, manufacturing and many others. It has the ability to track individual object all away from the manufacturing factory until it reach the retailer store. However, due to its nature that depends on radio signal to do the detection, reading on tagged objects can be missing due to the signal lost. The signal lost can be caused by weak signal, interference and unknown source. Missing tag detection in RFID system is truly significant problem, because it makes system reporting becoming useless, due to the misleading information generated from the inaccurate readings. The missing detection also can invoke fake alarm on theft, or object left undetected and unattended for some period. This paper provides review regarding this issue and compares some of the proposed approaches including Window Sub-range Transition Detection (WSTD), Efficient Missing-Tag Detection Protocol (EMD) and Multi-hashing based Missing Tag Identification (MMTI) protocol. Based on the reviews it will give insight on the current challenges and open up for a new solution in solving the problem of missing tag detection.
Non-Destructive Testing by Ultrasonic and Thermal Techniques of an Impacted Composite Material
Authors: Khathyri Fatima , Elkihel Bachir , Delaunois Fabienne
Published: March 2019

The aim of this work is to control the state of the structure of a composite material after low velocity impact. In fact, the impact damage is one of the most critical flaws that can reduce the intrinsic characteristics of a composite structure drastically. The diagnostic of composite laminates in this case will be very difficult, because during impact several modes of failure appear (matrix carking, delamination and fiber breakage), and it can be often not visible on the surface. For this reason it will be necessary to use the non-destructive techniques (NDT) of control to make sure of the state of the material without damaging it. This paper presents some methods of control to detect and characterize defects appeared after low velocity impact on a hybrid composite plate of epoxy resin reinforced with carbon fiber. The methods used in this work are considered among the most used in the control of composite material. Indeed, each technique has advantages and disadvantages. Therefore, the use of several control techniques ensures the diagnosis, so we talk about the complementarity of techniques. For this reason, the following methodology is followed. First of all, a quick and general control is performed of the whole specimen to designate the damaged area using the infrared technique. After that, the ultrasonic technique ( phazed array) is performed in the previously localized area for finer results. Finally, for validating the precision of the results obtained by the ultrasonic technique a metallurgy study is used. The methodology followed in this work will allow us a fast and precise control.
Study of Internal Pressure Impact on Sphere Tank Towards Vapour Cloud Explosion: Feyzin Incident
Authors: Binti Mohd Suhaimi Yeong Anis Farhanah , Rashid Zulkifli Abdul , Alias Azil Bahari
Published: March 2019

In the case of Liquefied Petroleum Gas (LPG) tank explosion(s), risk impact assessment on the storage facilities must be carried out. Since every LPG tank has its operating condition, it is essential to decide what the best operating conditions are for each tank. This effort is made to avert an accident from happening, as fires and explosions can be devastating in terms of lives lost and destruction to buildings and the environment. Boil-off and/or ignition of flammable gas can cause the pressure in the tank to increase. Therefore, a method called Planas-Cuchi is applied to determine the Peak Side-On Overpressure, Po, of the LPG tank during the occurrence of explosion. Thermodynamic properties of saturated propane, C3H8, has been chosen as a reference and basis of calculation to determine the parameters involved, such as Explosion Energy, E, Equivalent Mass of TNT, WTNT, and Scaled Overpressure, PS. A cylindrical LPG tank in Feyzin Refinery, France is selected as a point of study in this research. At the end of this study, the most suitable operating pressure of the LPG tank will be determined, and the results are compared and validated using the TNT Equivalent (BREEZE software), Baker-Strehlow model and ARIA investigation report.
Design and Implementation of Automated Ankle Foot Orthosis for Foot Drop Patients Using Gait Cycle EMG Analysis
Authors: Islam Md. Mamunoor , Kabir Md. Humayun , Hossain Quazi Delwar
Published: March 2019

Foot drop is known as gait abnormality in which the dropping of the forefoot happens due to the weakness of Tibialis Anterior Muscle for the damage of the common fibular nerve in the anterior portion of the lower leg. In this research, those patients are considered who have foot drop for Guillain-Barrí© syndrome (GBS). GBS is a peripheral nerve disorder for which bilateral foot drop happens to the patients. So, the aim of this research is to develop an automated Ankle Foot Orthosis (AFO) which will aid the GBS patients in their gait cycle while walking. For the development of this AFO, an EMG analysis has been conducted on both normal people (20 persons, Male 20-45 years) and GBS patients (10 patients, Male 20-45 years) and compared to find out the deviation of the patient’s one from the normal people. The findings of the EMG study show that the stance phase of the gait cycle is not affected by the GBS as correlation coefficient values are in between 0.95 to 1 where the swing phase very much deviates from the normal pattern as the coefficient values are in between 0.6 to 0.7 as well as short swing phase and no heel strike during walking. Considering these, automated AFO has been developed and implemented to test the feasibility and effectiveness on patients. The experimental results show that the effect of GBS on swing phase can be lessened as the value of correlation coefficient increases to 0.85 to 0.9 with long swing phase and proper heel strike on terminal swing phase.
Climate Changes Record of Bandung Paleolake
Authors: Winantris - , Fauzielly Lili , Jurnaliah Lia
Published: March 2019

The research was carried out on the sediment of Middle Bandung Basin. Samples were taken from a depth of 20 meters to 10 meters, each meter a taken sample for analysis. The characteristics of the sample are greenish grey clay deposits with remnant plant material. Research aims to identify climate change based on palynological data from the Pleistocene-Holocene Boundary. The resulting of radiocarbon dating (14C), shows that age of the sample from the 18 m depth around 11820 years BP. Separation of pollen from sediment used an acetolysis method. Palynomorphs are grouped according to their habitat that related to vegetation zone, i.e., lowland forest zone, submontane forest zone, lower montane forest zone, riparian/open herbaceous swamp vegetation, freshwater algae, and Aquatic plant. The composition of pollen shows a succession of vegetation that reflection of climate changes. From Pleistocene-Holocene boundary at least has been recorded seven times of the shift vegetation zone that is evidence of climate change. The oldest sample at 20 m depth is the coldest temperature occurred in zone one at a depth of 20-19 meters that was dominated by lower montane forest vegetation; the event was around Late Pleistocene. The opposite condition occurred in zone seven at 10 meters depth; temperature becomes warmer that indicated by disappears of pollen submontane forest and dominated by lowland forest pollen similar to the current condition. Climate change is also reflected by fluctuations the quantity pollen of open herbaceous swamp vegetation.
Investigation of Pangkalan Floods: Possible Reasons and Future Directions
Authors: Herdianto Revalin , Istijono Bambang , Syofyan Elvi Roza , Dalrino Dalrino
Published: March 2019

Two flood events in Pangkalan, Lima Puluh Kota Regency on 3 March and 29 December 2017 have triggered some questions whether a dam downstream the catchment is solely responsible, or they were caused by other factors. In fact, several other major floods have been recorded after dam commission in 1998. Yet, the catchment have undergone rapid land use conversion into commercial plantation such as palm and Uncaria gambir Roxb (gambir) since mid-1990’s. To understand the flood, three contributing factors i.e. flood inundation by the dam and river tributaries, land use changes, and rainfall data were discussed and analysed, and some field works were conducted along the main river and flooded areas. Flood inundation was estimated using Digital Elevation Models (DEM) of 30 m in resolution and modeled using QGIS. Land use changes from year 1994 were analysed from Landsat and EVI (Enhanced Vegetation Index) time series. Rainfall data were collected and analysed using nearby station from year 1980. Flood inundation analysis showed that dam spillway at an elevation of 80 m is unlikely the main reason, since maximum flood elevation occurred at 92 m. Rather, the flood was likely induced by a constriction due to rock in the river at midstream catchment, since flood inundation model using this scenario exhibited similarities to the impacted areas. Furthermore, land conversion from forest to palm plantation and gambir was thought to increase runoff and also contributed to the floods. Yet, this manuscript needs to be followed by a model with reliable data such as river topography and high resolution DEM and automatic water level recorder (AWLR).
Pavement Life Variation with Material Characteristics, Road Profiles and Environmental Effects
Authors: Buhari Rosnawati , Md Rohani Munzilah , Puteh Saifullizam
Published: March 2019

Long-term performance of pavements is dependence on several aspects including design and method of construction, vehicles loading and environmental conditions along their service life. The pavement response to these aspects is mostly based on the stiffness characteristic of the materials. The most significant stiffness property is the resilient modulus that is based on the strain under loads, and several factors include roughness of road profile, soil property, soil type and stress state. This study focuses on the simulation of the pavement performance by considering pavement material and vehicle characteristic, road roughness, and temperature variations. The vehicle-road interaction is the main focus. It includes analysis of the integration of damage consequence by the static and dynamic loads of the vehicle fleet on the structural variability of the pavement. Meanwhile, other factors such as temperature influencing the modulus degradation of the bituminous material is also included. As a result, all factors were significantly contributed to the life of the pavement.
Construction Method and Performance of Bugis Traditional House in Wind Disasters
Authors: Madeali Hartawan , Suhendro Bambang , Pradipto E , Kusumawanto A
Published: March 2019

Bugis ethnic in South Sulawesi Province, Indonesia is known as an old tribe who domiciled in the south peninsula of Sulawesi island. They have characteristics of high legacy, culture by the script called lontaraq and life in a traditional stilt house called bola ogi. This house was built in certain methods and become a research problem. The goal of this study is to reveal the construction method and the performance of the Bugis traditional house in facing of wind disaster. The research methods are field observation and in-depth interview. Field observation to reveal the old construction methods of 100 years traditional the Bugis house and its performance in collapse by wind disasters. In-depth interview to strengthen information. The research revealed that Bugis house made of wood and its built-in certain construction methods called mappasituppu. Structure system consists of the main and secondary structure which is joined together rigidly an appropriate hierarchy. The part of the structural member is setting follows natural way. The wind attack saw that building structure collapse step by step depend on its function in the structure as a whole. The lesson from Bugis in construction method is the part of the structure system best to design in the proper strength hierarchy. The strength, structure hierarchy is the maximum strength part of structure equal to the minimum strength of the structure which supports them.
Behavior of Modified Long Links with Supplemental Double Stiffeners on Eccentrically Braced Frames
Authors: Musbar Musbar , Budiono Bambang , Kusumastuti Dyah , Setio Herlien D
Published: March 2019

Initial failure of long links caused by fracturing and buckling occurs on the flange and web at the end of the link. Local damages are caused by the influence of the dominant bending moments compared to shear forces. The advantage of using long links includes allowing for larger openings in rooms, which makes it popular among architects. Efforts to prevent these specific failures are not covered in the rules, and there are few types of research that examine improving the performance of long links. The focus of this study is to provide information on using supplemental double stiffeners at the ends of the link without changing the long link behavior. The behavior of long links is maintained by keeping the flange failures on the flange at the end of the link. The supplemental double stiffeners improve the performance of the long link by extending the inelastic zone and slowing the failure rate of the flange. This experimental study was carried out on four models of the long link consisting of a standard model and a model modified by the addition of supplemental double stiffeners at the flange. Long link models were modified with variable thickness and holes width on the supplemental double stiffeners. The results showed that the addition of the supplemental double stiffeners improved the performance of long links compared to the standard link that is by the requirements of AISC 341-10. The supplemental double stiffeners are an alternative to improved long link performance, making it more effective in the application of its use in steel construction.
The Protection of Masonry Blocks with Using Hydrophobization Before Load Due to Increased Moisture
Authors: Vitezslav Novak , Jiri Zach
Published: March 2019

The Faculty of Civil Engineering (Brno University of Technology) has for several years been developing and researching the properties of modern building materials. One area of research is the development and modification of the properties of masonry elements, particularly masonry blocks that are able to withstand increased moisture loads. These masonry blocks can be used as protection in buildings in flood areas or buildings that may be prone to damage from natural disasters. Increased moisture is one of the most common problems encountered in building structures. Most problems concern moisture in liquid form, which can have significant effects on changing the properties of materials and structures. If the structure of brick blocks is changed by moisture in liquid form due to porosity and water absorption, thereby affecting load, it can reduce the service life of masonry blocks. This paper investigates the use of special silicone products on the surface layer of ceramic masonry elements. The application of these silicone agents forms a protective surface layer on masonry blocks, protecting them via hydrophobisation and the effects of increased humidity. Hydrophobisation reduces water absorption into masonry blocks and eliminates the negative effects of moisture on the properties of masonry blocks. Through hydrophobisation, masonry blocks can be extremely effective for use as preventive protection in case of failure or damage on the part of conventional waterproofing measures.
Index of Active Tectonic Assessment: Quantitative-based Geomorphometric and Morphotectonic Analysis at Way Belu Drainage Basin, Lampung Province, Indonesia
Authors: Gentana Dewi , Sulaksana Nana , Sukiyah Emi , Yuningsih Euis Tintin
Published: March 2019

The occurrence of subduction zones caused by the collision between the Eurasian-Western Indonesia Plate due to an increase tectonic, volcanic and magmatic activities along Sumatra Island. This study covers the area of Way Belu Drainage Basin, located near Bandar Lampung City, Lampung Province, southern part of Sumatra, Indonesia. The area composes of a complex geological structure as the result of tectonic activities. In this study, geomorphic indices assessment such as morphometric and morphotectonic quantitative analysis are undertaken to identify the Index of Active Tectonics (IAT). The morphometric analysis uses Drainage density (Dd) and Ratio of bifurcation (Rb). The value of Dd respectively from 1.45 to 4.05, Rb from  2 to 10. While the morphotectonic analysis uses basin shape index (Bs), valley floor width-valley height ratio (Vf), and asymmetry factor (AF). The value of Bs from 1.27 to 6.25, Vf   from 0.16 to 3.30, and AF from 22.73 to 83.77 in ranges which is derived average IAT value is 2.20. It may considered that at the Way Belu Drainage Basin has moderate to high tectonic activity. From the joint measurement results on the fracture zone express that the main pattern of faults has trend NWW-SSE, NE-SW, NNE-SSW, NW-SE, and W-E directions. Furthermore, based on the combination of the quantitative geomorphology indices assessment which is supported by remote sensing and field assessment shows that those features closely related to the Semangko Fault System with the NNW-SSE fault trend parallel to its fault.
Online Reputation Model Using Multiple Quality Factors
Authors: Azzeh Mohammad , Hijjawi Mohammad , Altamimi Ahmad M
Published: March 2019

Users on the internet are looking for ways to minimize their experiences in performing online transactions. Reputation systems as a decision support tool are trying to facilitate online transactions. However, many reputation systems use Naí¯ve methods to compute the reputation of an item. These methods are unstable when there is sparsity in the ratings. Also, they cannot discover trends emerging from recent ratings. Other methods, which use weighted average or probabilistic model, usually focus on one aspect of the reviewer ratings. Even though models that combine multiple factors often accomplish that through an arbitrary set of weights. This research study looks at various aspects of reviewers’ ratings and proposes a new reputation model that attempts to assess the reviewer reputation by combining four factors through a Fuzzy model. These weights are then involved in computing the item reputation. The proposed reputation model has been validated against state-of-art reputation models and presented significant accuracy regarding Mean Absolute Errors (MAE) and Kendall correlation. The proposed reputation model also works well with the sparse and dense dataset.