View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network

This paper describes the details of Sighthound's fully automated vehicle make, model and color recognition system. The backbone of our system is a deep convolutional neural network that is not only computationally inexpensive, but also provides state-of-the-art results on several competitive benchmarks. Additionally, our deep network is trained on a large dataset of several million images which are labeled through a semi-automated process. Finally we test our system on several public datasets as well as our own internal test dataset. Our results show that we outperform other methods on all benchmarks by significant margins. Our model is available to developers through the Sighthound Cloud API at https://www.sighthound.com/products/cloudComment: 7 Page

Conjugating binary systems for spacecraft thermal control

The materials search was directed to liquid pairs which can form hydrogen bonds of just the right strength, i.e., strong enough to give a high heat of mixing, but weak enough to enable phase change to occur. The cursory studies performed in the area of additive effects indicate that Conjugating Binary (CB) performance can probably be fine-tuned by this means. The Fluid Loop Test Systems (FLTS) tests of candidate CBs indicate that the systems Triethylamine (TEA)/water and propionaldehyde/water show close to the ideal, reversible behavior, at least initially. The Quick Screening Tests QSTs and FLTS tests, however, both suffer from rather severe static due either to inadequate stirring or temperature control. Thus it is not possible to adequately evaluate less than ideal CB performers. Less than ideal performers, it should be noted, may have features that make them better practical CBs than ideal performers. Improvement of the evaluation instrumentation is thus indicated

Oral Cancer Awareness and its Determinants among a Selected Malaysian Population

Objective: To assess oral cancer awareness, its associated factors and related sources of information among a selected group of Malaysians. Methods: A cross-sectional survey was conducted on all Malaysian ethnic groups aged >= 15 years old at eight strategically chosen shopping malls within a two week time period. Data were analysed using chi-square tests and multiple logistic regression. Significance level was set at alpha<0.05. Results: Most (84.2%) respondents had heard of oral cancer. Smoking was the most (92.4%) recognized high risk habit. Similar levels of awareness were seen for unhealed ulcers (57.3%) and red/white patches (58.0%) as signs of oral cancer. Age, gender, ethnicity, marital status, education, occupation and income were significantly associated with oral cancer awareness (p<0.05). Conclusions: There was a general lack of awareness regarding the risk habits, early signs and symptoms, and the benefits of detecting this disease at an early stage. Mass media and health campaigns were the main sources of information about oral cancer. In our Malaysian population, gender and age were significantly associated with the awareness of early signs and symptoms and prevention of oral cancer, respectively.Article Link: http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=POCPA9_2013_v14n3_195

Pengaruh dan Pemetaan Pendidikan, Kesehatan, Serta UMKM terhadap Indeks Pembangunan Manusia di Jawa Timur Menggunakan Regresi Panel dan Biplot

Sebagai ukuran kualitas hidup, Indeks Pembangunan Manusia (IPM) dibangun melalui tiga dimensi dasar diantaranya pendidikan, kesehatan, dan ekonomi. Banyaknya faktor yang mempengaruhi IPM mengakibatkan generalisasi dalam dimensi dasar IPM. Sementara itu, Usaha Mikro Kecil dan Menengah (UMKM) secara garis besar memegang peranan penting dalam memberi dampak positif terhadap pembangunan di Jawa Timur. Namun belum banyak penelitian yang menghubungkan antara kontribusi UMKM dengan pembangunan, khususnya di Jawa Timur. Penelitian ini bertujuan untuk memperoleh pemodelan IPM di Jawa Timur pada tahun 2008-2012 menggunakan Regresi Panel serta pemetaan variabel-variabel yang berpengaruh terhadap IPM. Adanya efek individu pada model panel sehingga pendekatan model yang sesuai adalah FEM (Fixed Effect Model) yang menghasilkan nilai R2 sebesar 98,88 persen. Variabel yang berpengaruh secara signifikan terhadap IPM antara lain variabel rasio siswa-guru SMP dan MTs, Angka Partisipasi Sekolah (APS) SMP, APS SMA, kepadatan penduduk, PDRB UMKM, dan Tingkat Pengangguran Terbuka (TPT). Hasil pemetaan Biplot menunjukkan bahwa untuk meningkatkan PDRB UMKM pada wilayah dengan kategori menengah atas diperlukan strategi khusus, dikarenakan cenderung dimiliki oleh wilayah yang memiliki kepadatan penduduk. Sementara untuk meningkatkan PDRB UMKM pada wilayah dengan kategori menengah bawah, perlu dilakukan peningkatan rasio siswa-guru SMP dan MTs

Implementasi Sensor Inertial Meansurenment Unit (IMU) untuk Monitoring Perilaku Roket

This paper examines the Implementation of the Inertial Measurement Unit (IMU) Sensor for Monitoring Rocket Attitude. The monitored rocket attitude data is in the form of vibration which is generated by the payload during the functional test and flight speed, acceleration and direction flight test. The rocket payload device is mounted in the rocket compartment for the function of measuring rocket behavior. Data is sent to ground stations via telemetry devices use baud rate of 57600. Based on the results of G-Shock, G-Force and Vibration testing shows that the payload can work well. In accordance with the results of reading the data on the Graphical user Interface (GUI) can be displayed and shows the rocket payload works well. This rocket payload can transmit data remotely

Depth of interaction and bias voltage depenence of the spectral response in a pixellated CdTe detector operating in time-over-threshold mode subjected to monochromatic X-rays

High stopping power is one of the most important figures of merit for X-ray detectors. CdTe is a promising material but suffers from: material defects, non-ideal charge transport and long range X-ray fluorescence. Those factors reduce the image quality and deteriorate spectral information. In this project we used a monochromatic pencil beam collimated through a 20μm pinhole to measure the detector spectral response in dependance on the depth of interaction. The sensor was a 1mm thick CdTe detector with a pixel pitch of 110μm, bump bonded to a Timepix readout chip operating in Time-Over-Threshold mode. The measurements were carried out at the Extreme Conditions beamline I15 of the Diamond Light Source. The beam was entering the sensor at an angle of \texttildelow20 degrees to the surface and then passed through \texttildelow25 pixels before leaving through the bottom of the sensor. The photon energy was tuned to 77keV giving a variation in the beam intensity of about three orders of magnitude along the beam path. Spectra in Time-over-Threshold (ToT) mode were recorded showing each individual interaction. The bias voltage was varied between -30V and -300V to investigate how the electric field affected the spectral information. For this setup it is worth noticing the large impact of fluorescence. At -300V the photo peak and escape peak are of similar height. For high bias voltages the spectra remains clear throughout the whole depth but for lower voltages as -50V, only the bottom part of the sensor carries spectral information. This is an effect of the low hole mobility and the longer range the electrons have to travel in a low field

The Influence of Distance on Radiant Exposure and Degree of Conversion Using Different Light-Emitting-Diode Curing Units

Objectives: To investigate the influence of curing distance on the degree of conversion (DC) of a resin-based composite (RBC) when similar radiant exposure was achieved using six different light-curing units (LCUs) and to explore the correlation among irradiance, radiant exposure, and DC. Methods and Materials: A managing accurate resin curing-resin calibrator system was used to collect irradiance data for both top and bottom specimen surfaces with a curing distance of 2 mm and 8 mm while targeting a consistent top surface radiant exposure. Square nanohybrid-dual-photoinitiator RBC specimens (5 × 5 × 2 mm) were cured at each distance (n=6/LCU/distance). Irradiance and DC (micro-Raman spectroscopy) were determined for the top and bottom surfaces. The effect of distance and LCU on irradiance, radiant exposure, and DC as well as their linear associations were analyzed using analysis of variance and Pearson correlation coefficients, respectively (α=0.05). Results: While maintaining a similar radiant exposure, each LCU exhibited distinctive patterns in decreased irradiance and increased curing time. No significant differences in DC values (63.21%-70.28%) were observed between the 2- and 8-mm distances, except for a multiple-emission peak LCU. Significant differences in DC were detected among the LCUs. As expected, irradiance and radiant exposure were significantly lower on the bottom surfaces. However, a strong correlation between irradiance and radiant exposure did not necessarily result in a strong correlation with DC. Conclusions: The RBC exhibited DC values >63% when the top surface radiant exposure was maintained, although the same values were not reached for all lights. A moderate-strong correlation existed among irradiance, radiant exposure, and DC

Microcontroller Implementation for Automatic Smart Bell

This study aims to design automatic school bell hardware based on the ATmega32 microcontroller, design automatic school bell software based on the ATmega32 microcontroller using Basic programming language, and test the performance of the automatic school bell based on the ATmega32 microcontroller. This automatic school bell uses a minimum system of ATmega32 microcontrollers which equipped with data input from the push button, LCD to display character output, ISD2560 to output sound, and a timer taken from DS1307 RTC. This research is a Research or Development (R &amp; D) research. This research is carried out through two stages of design. The first stage is the stage of hardware design. The second stage is the stage of software design. Programs are made using the Basic programming language using the Bascom-AVR application. The results of the product were tested using the black box method with two stages. In the first stage, software testing uses a series of simulations on the Proteus 7 Professional application. The second stage, testing hardware

Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm

Fed-batch fermentation has gained attention in recent years due to its beneficial impact in the economy and productivity of bioprocesses. However, the complexity of these processes requires an expert system that involves swarm intelligence-based metaheuristics such as Artificial Algae Algorithm (AAA), Artificial Bee Colony (ABC), Covariance Matrix Adaptation Evolution Strategy (CMAES) and Differential Evolution (DE) for simulation and optimization of the feeding trajectories. DE traditionally performs better than other evolutionary algorithms and swarm intelligence techniques in optimization of fed-batch fermentation. In this work, an improved version of DE namely Backtracking Search Algorithm (BSA) has edged DE and other recent metaheuristics to emerge as superior optimization method. This is shown by the results obtained by comparing the performance of BSA, DE, CMAES, AAA and ABC in solving six fed batch fermentation case studies. BSA gave the best overall performance by showing improved solutions and more robust convergence in comparison with various metaheuristics used in this work. Also, there is a gap in the study of fed-batch application of wastewater and sewage sludge treatment. Thus, the fed batch fermentation problems in winery wastewater treatment and biogas generation from sewage sludge are investigated and reformulated for optimization