60 GHz Blockage Study Using Phased Arrays

The millimeter wave (mmWave) frequencies offer the potential for enormous capacity wireless links. However, designing robust communication systems at these frequencies requires that we understand the channel dynamics over both time and space: mmWave signals are extremely vulnerable to blocking and the channel can thus rapidly appear and disappear with small movement of obstacles and reflectors. In rich scattering environments, different paths may experience different blocking trajectories and understanding these multi-path blocking dynamics is essential for developing and assessing beamforming and beam-tracking algorithms. This paper presents the design and experimental results of a novel measurement system which uses phased arrays to perform mmWave dynamic channel measurements. Specifically, human blockage and its effects across multiple paths are investigated with only several microseconds between successive measurements. From these measurements we develop a modeling technique which uses low-rank tensor factorization to separate the available paths so that their joint statistics can be understood.Comment: To appear in the Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 201

Determination of Selection Index of Cocoa (Theobroma Cacao L.) Yield Traits Using Regression Methods

The increasing chocolate consumption has not been followed by growing production of dry cocoa beans. In order to support the increase in cocoa production, planting materials with high yield are needed. The objective of this research was to determine the components of cocoa traits affecting weight of dry cocoa beans, and set a selection index for superior cocoa trees. The experiment material were four cocoa hybrid populations of which their family ancestry were unknown, and were planted on Samigaluh Plantation, Yogyakarta, and Segayung Plantation, Central Java. Observations and data collection were conducted on four plant populations. The observations were undertaken for three years, by observing plant traits, including pod length, pod diameter, husk thickness, cavity diameter, pod fresh weight, cocoa bean/pod fresh weight, husk fresh weight, dry weight of cocoa beans/pod, number of cocoa beans/pod, dry weight per cocoa bean. The collected data were analyzed using path and regression analysis methods. The results showed that pod diameter (X4), fresh pod weight (X5), number of cocoa beans/pod (X8), and dry weight/cocoa bean (X9) were used to form a selection index resulting the equation I = 0.0792 X4 + 0.1330 X5 + 0.0106 X8 + 0.1349 X9 furthermore will be used in the selection of cocoa trees. Ten cocoa plants from seeds having the highest general selection index were D 034, D 003, D 015, A 054, D 004, D 033, D 041, A 157, D 036, and D 025 will be selected for further evaluation

Automatic 3D facial expression recognition using geometric and textured feature fusion

3D facial expression recognition has gained more and more interests from affective computing society due to issues such as pose variations and illumination changes caused by 2D imaging having been eliminated. There are many applications that can benefit from this research, such as medical applications involving the detection of pain and psychological effects in patients, in human-computer interaction tasks that intelligent systems use in today's world. In this paper, we look into 3D Facial Expression Recognition, by investigating many feature extraction methods used on the 2D textured images and 3D geometric data, fusing the 2 domains to increase the overall performance. A One Vs All Multi-class SVM Classifier has been adopted to recognize the expressions Angry, Disgust, Fear, Happy, Neutral, Sad and Surprise from the BU-3DFE and Bosphorus databases. The proposed approach displays an increase in performance when the features are fused together