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"Federated Cloud Architecture is a heterogeneous and distributed model that providesinfrastructures related to the cloud by aggregating different Infrastructure-as-a-Service (IaaS) providers. In this case, it is an exciting task toselect the optimal service cloud provider for the customer and then deploy it. In this paper,a new provider discoveryalgorithm and fuzzy sets ranking model is proposed in the modified federatedarchitecture and thenthe performance isevaluated. The proposeddiscovery method shortlists the provider based on the Quality of Service (QoS)indicators suggested by the Service Measurement Index (SMI) with the Service LevelAgreement (SLA) thatprovides improved performance. In addition to that, the cost is also included thatrepresents thefulfillment at the level of the end user. The ranking mechanism is based on a Fuzzy set approach, having three general phases, such as problem decomposition, judgment ofpriorities and an aggregationof these priorities. With some simple rules, the fuzzy set may be combined with the QoS indicators. The WeightedTuned Queuing Scheduling (WTOS) Algorithm is proposed to resolve the issue of starvation in theexisting architecture and manage the requests effectively. Experimental resultsshow that the proposedarchitecture has abetter successful selection rate, average response time and less overhead,compared to the existing architecture that had supported the Cloud environment."

"Federated Cloud Architecture is a heterogeneous and distributed model that provides infrastructures related to the cloud by aggregating different Infrastructure-as-a-Service (IaaS) providers. In this case, it is an exciting task to select the optimal service cloud provider for the customer and then deploy it. In this paper, a new provider discovery algorithm and fuzzy sets ranking model is proposed in the modified federated architecture and then the performance is evaluated. The proposed discovery method shortlists the provider based on the Quality of Service (QoS) indicators suggested by the Service Measurement Index (SMI) with the Service Level Agreement (SLA) that provides improved performance. In addition to that, the cost is also included that represents the fulfillment at the level of the end user. The ranking mechanism is based on a Fuzzy set approach, having three general phases, such as problem decomposition, judgment of priorities and an aggregation of these priorities. With some simple rules, the fuzzy set may be combined with the QoS indicators. The Weighted Tuned Queuing Scheduling (WTOS) Algorithm is proposed to resolve the issue of starvation in the existing architecture and manage the requests effectively. Experimental results show that the proposed architecture has a better successful selection rate, average response time and less overhead, compared to the existing architecture that had supported the Cloud environment."

"The cloud is an outstandingplatform to deal with functionally equivalent services which are exponentiallyincreasing day-by-day. The selection of servicesto meet the client requirements is a subtle task. The services can be selected byranking all the candidate services using their network and non-network Quality-of-Service (QoS) parameters, which is formulated as a NP hard optimization problem. In this paper, weproposed a linear discriminant analysis (LDA) based a four level matching model for service selection based on QoS parameters,which includes description matching of a service, matchmaking phase, LDA-based QoS matching and ranking. The LDA-serviceselection agent is deployed on each cloud to classify services into classes andrank the services based on the aggregate QoS value of each service. Finally,the test results show the efficiency in service selection with minimaldiscovery overhead, significant reduction in the computation time and thenumber of candidate services to be considered."

"Universities play an important role in motivating young graduates to become technology entrepreneurs. The objectives of this research are to investigate the success factors for business incubators and to develop and propose a framework of successful business incubators for public universities in Indonesia. Indonesian public universities that have business incubators were considered for this research. A preliminary study was conducted with a panel of experts who have the necessary insights and experiences in managing both the incubators and the relationships within the incubators with the tenant firms.This research examines some significant measures with reference to the unique features of university business incubators in order to better understand the manner in which incubators can be assessed in a developing country. The result of this research includes a framework of successful business incubators in Indonesian public universities. This framework is developed on the basis of previous studies and the preliminary study conducted with ten business incubator experts."

"ABSTRAKPerkembangan robot pada masa sekarang banyak yang digunakan untuk membantu tugas manusia, salah satunya robot pemadam api. Robot pemadam api memerlukan berbagai macam sensor untuk berjalan dengan baik, salah satunya adalah menggunakan sensor ultrasonik yang digunakan untuk navigasi robot. Caranya sensor ultrasonik mendeteksi adanya penghalang, maka robot akan berbelok dan berjalan kembali secara otomatis tanpa menabrak penghalang ataupun benda yang berada di sekitarnya. Sensor api yang di gunakan untuk mendeteksi api dan mencari titik api dengan cara menilai intensitas cahaya. Untuk memadamkan api di tambahkan pompa mini agar mengeluarkan air yang di kontrol dengan mikrokontroler ATMega328. Mikrokontroler ATMega328 berfungsi untuk pusat fungsi kendali robot.Output mikrokontroler akan menghasilkan logika 1 unutk mengaktifkan driver motor pada pin IC L293D untuk mengaktifkan motor roda kanan dan roda kiri. Motor DC yang digunakan sebagai penggerak robot, dan baterai disini berfungsi sebagai catu daya pada robot. Hasilnya adalah, robot ini dapat mendeteksi titik api dan memadamkan api di dalam ruangan."

"Todevelop seismic design criteria for buildings, seismic hazard analysis is required to estimate the ground motionintensity with criteria such as peak groundacceleration (PGA). The seismic hazard can be analyzed by using two approaches: deterministic seismic hazard analysis (DSHA) andprobabilistic seismic hazard analysis (PSHA). In these two approaches, theseismic hazard is evaluated from past earthquake events and active faults data. In Thailand, seismic hazard is classified in the low lying regions; however, in recently years,earthquakes have occurred frequently in the North of Thailand. Toprevent and reduce damage due to earthquakes in the future, determinationof seismic hazard is needed. Thisresearch proposes a deterministic seismic hazardmap evaluated from nineteenactive faults affectingThailand. Two types of active faults are considered: first, an active fault in a subduction zone and second, a crustal fault. The seismic hazard is evaluated by using a groundmotion prediction equation (GMPEs). Four GMPEs are weighted equally forseismic crustal fault, and two GMPEs are weighted equally fora seismic subduction zone. The hypocentral distance isused to evaluate the seismic hazard for all ground motion prediction equations.The Northern part and the Western part of Thailand are high seismic hazardregions, because there are active faults with the large possibility of earthquakes of a maximum magnitude. The seismichazards in the North, West and Northeast of Thailand are about 0.60 g.The seismic hazard in Bangkok is about 0.25 g due to the Three Pagoda fault and Sri Sawat fault. The seismic hazard in the South of Thailand is about 0.40 g."

"The antimicrobial properties of bagasse paper sheets coated withnatural polymers (chitosan, different ratios of (gelatin/glycerol) + chitosan,hemicellulose, hemicellulose + glycerol, hemicellulose+chitosan) orsynthetic organophosphorus dimer compounds were evaluated in this work.Hemicelluloses showed moderate activity against Bacillus subtilis and Candida albicans, while chitosan showed weakactivity against B. subtilis. The condition that offered the highest inhibitoryactivity of bagasse paper was the onecoated with 1,3-diaryl-2,2,2,4,4,4-hexachlorocyclodiphosph(V)azane(where aryl is p-chloroaniline or p-anisidine). The developed bagasse paperswere evaluated against Gram-positive bacteria, Gram-negative bacteria, yeasts, and fungi. The highest inhibitory activity was obtained at a concentration of 200mg/mL for p-chloroaniline with an inhibition zone that varied for differentmicrobes from 6.9 mm to 26 mm. The highest inhibitory activity was obtained at300?250 mg/mL for p-anisidine against most of the pathogenic microorganismswith an inhibition zone that varied for different microbes from 8 mm to 14.75mm. The observed antimicrobial and antifungal activity properties for bagasse paper coated with 1,3-diaryl2,2,2,4,4,4-hexachlorocyclodiphosph(V)azane could be attributed to the presence of Cl, P atoms, and the lone pair ofelectrons on N atoms in the structure of the dimers."

"The routine dailyactivities that tend to be sedentary and repetitive may cause severe healthproblems. This issue has encouraged researchers to design a system to detectand record people activities in real time and thus encourage them to do morephysical exercise. By utilizing sensors embedded in a smartphone, many researchstudies have been conducted to try to recognize user activity. The most commonsensors used for this purpose are accelerometers and gyroscopes; however, wefound out that a gravity sensor has significant potential to be utilized aswell. In this paper, we propose a novel method to recognize activities usingthe combination of an accelerometer and gravity sensor. We design a simplehierarchical system with the purpose of developing a more energy efficientapplication to be implemented in smartphones. We achieved an average of 95% forthe activity recognition accuracy, and we also succeed at proving that our workis more energy efficient compared to other works."

"Diabetes is one of themost serious health challenges in both developed and developing countries. Early detection and accurate diagnosis ofdiabetes can reduce the risk of complications. In recent years, the use of machine learning in predicting disease hasgradually increased. A promising classification technique in machinelearning is the use of support vector machines in combination with radial basisfunction kernels (SVM-RBF). In this study, we used SVM-RBF to predict diabetes.The study used a Pima Indian diabetes dataset from the University ofCalifornia, Irvine (UCI) Machine Learning Repository. The subjects were female and ≥ 21 yearsof age at the time of the index examination. Our experiment design used 10-foldcross-validation. Confusion matrix and ROC were used to calculate performanceevaluation. Based on the experimental results, the study demonstrated that SVM-RBFshows promise in aiding diagnosis of Pima Indian diabetes disease in the earlystage."