Evaluating Productivity of Small-Scale Cable Yarding System Integrated with a Portable Winch

Small-scale forestry operations, which are used in non-industrial and site specific forestry, provide alternative logging methods suitable for precision forestry approach. In this study, a small-scale cable yarding system integrated with a portable winch was considered as alternative timber extraction method compared to a standard tower yarder. It was aimed to evaluate productivity of this yarding method, which was implemented during commercial harvesting activities performed in a 10.74 ha black pine stand located in Bursa province of Turkey. The main factors (i.e. slope, yarding distance, lateral pulling distance, log volume, log length), significantly affecting the productivity, were evaluated based on two slope classes (34–50% and 50–70%) and two yarding distances (100 m and 200 m). The results indicated that the average productivity was 0.95 m3/PMH and 0.90 m3/SMH. It was revealed that the productivity of the small-scale cable yarding decreased as the ground slope and the yarding distance increased. Statistical analysis indicated that there was a significant (p<0.001) relationship between productivity and log volume and length in four applications. On the other hand, it was found that there was a significant (p<0.05) relationship between productivity and lateral pulling distance in only the first application (34–50% slope; 100 m yarding distance). Considering the volume classes of the logs, it was determined that the productivity increased from the low volume class to the high volume class

An efficient framework for visible-infrared cross modality person re-identification

Visible-infrared cross-modality person re-identification (VI-ReId) is an essential task for video surveillance in poorly illuminated or dark environments. Despite many recent studies on person re-identification in the visible domain (ReId), there are few studies dealing specifically with VI-ReId. Besides challenges that are common for both ReId and VI-ReId such as pose/illumination variations, background clutter and occlusion, VI-ReId has additional challenges as color information is not available in infrared images. As a result, the performance of VI-ReId systems is typically lower than that of ReId systems. In this work, we propose a four-stream framework to improve VI-ReId performance. We train a separate deep convolutional neural network in each stream using different representations of input images. We expect that different and complementary features can be learned from each stream. In our framework, grayscale and infrared input images are used to train the ResNet in the first stream. In the second stream, RGB and three-channel infrared images (created by repeating the infrared channel) are used. In the remaining two streams, we use local pattern maps as input images. These maps are generated utilizing local Zernike moments transformation. Local pattern maps are obtained from grayscale and infrared images in the third stream and from RGB and three-channel infrared images in the last stream. We improve the performance of the proposed framework by employing a re-ranking algorithm for post-processing. Our results indicate that the proposed framework outperforms current state-of-the-art with a large margin by improving Rank-1/mAP by 29.79%/30.91% on SYSU-MM01 dataset, and by 9.73%/16.36% on RegDB dataset.WOS:000551127300017Scopus - Affiliation ID: 60105072Science Citation Index ExpandedQ2ArticleUluslararası işbirliği ile yapılmayan - HAYIREylül2020YÖK - 2020-2

An efficient multiscale scheme using local zernike moments for face recognition

In this study, we propose a face recognition scheme using local Zernike moments (LZM), which can be used for both identification and verification. In this scheme, local patches around the landmarks are extracted from the complex components obtained by LZM transformation. Then, phase magnitude histograms are constructed within these patches to create descriptors for face images. An image pyramid is utilized to extract features at multiple scales, and the descriptors are constructed for each image in this pyramid. We used three different public datasets to examine the performance of the proposed method:Face Recognition Technology (FERET), Labeled Faces in the Wild (LFW), and Surveillance Cameras Face (SCface). The results revealed that the proposed method is robust against variations such as illumination, facial expression, and pose. Aside from this, it can be used for low-resolution face images acquired in uncontrolled environments or in the infrared spectrum. Experimental results show that our method outperforms state-of-the-art methods on FERET and SCface datasets.WOS:000437326800174Scopus - Affiliation ID: 60105072Science Citation Index ExpandedQ2 - Q3ArticleUluslararası işbirliği ile yapılmayan - HAYIRMayıs2018YÖK - 2017-1

Human semantic parsing for person re-identification

Person re-identification is a challenging task mainly dueto factors such as background clutter, pose, illuminationand camera point of view variations. These elements hinder the process of extracting robust and discriminative representations, hence preventing different identities from being successfully distinguished. To improve the representation learning, usually local features from human body partsare extracted. However, the common practice for such aprocess has been based on bounding box part detection.In this paper, we propose to adopt human semantic parsing which, due to its pixel-level accuracy and capabilityof modeling arbitrary contours, is naturally a better alternative. Our proposed SPReID integrates human semanticparsing in person re-identification and not only considerably outperforms its counter baseline, but achieves stateof-the-art performance. We also show that, by employinga simple yet effective training strategy, standard populardeep convolutional architectures such as Inception-V3 andResNet-152, with no modification, while operating solelyon full image, can dramatically outperform current stateof-the-art. Our proposed methods improve state-of-the-artperson re-identification on: Market-1501 [48] by ~17% inmAP and ~6% in rank-1, CUHK03 [24] by ~4% in rank-1and DukeMTMC-reID [50] by ~24% in mAP and ~10% inrank-1.Computer Vision FoundationWOS:000457843601020Scopus - Affiliation ID: 60105072Conference Proceedings Citation Index- ScienceProceedings PaperHaziran2018YÖK - 2017-1

EFFECTS OF ORTHODONTIC ADHESIVE MATERIALS ON S. MUTANS AND LACTOBACILLI LEVELS IN HUMAN SALIVA

ABSTRAC

On the Basic Affective Dimensions of Japanese Onomatopoeia and the Basic Level of Japanese Phonesthemes

音感素は、音素と形態素の間のレベルに位置する、音象徴における基本単位である。英語やスウェーデン語などにおいては、二子音、あるいは三子音からなる多くの音感素の例が報告されている(Hinton, Nichols and Ohala, 1994; Abelin, 1999)。日本語は、二子音、三子音からなる音のパターンを欠いているので、そのような音感素も存在しない。Hamano(1998)は、日本語における各子音と各母音を音感素に設定し、日本語におけるオノマトペを組織的に分析している。Hamanoの分析は大変興味深いが、音感素と感性的意味の選択は分析者の直感によっている。この予備的研究で我々は、こうした基本問題に関する経験的な証拠を提供し、これを日本語における音象徴全般の問題に関連づけることを試みる。1)60のオノマトペが用いられた。オノマトペはすべてCIVIC2V2形式で、意味は感情に関連するものだった。12人の被験者がこれらのオノマトペを24の形容詞対により評定した。形容詞対24次元空間における60のオノマトペ間の距離行列がMDSにより分析された。2次元解が採用された。第1次元は明るさと、第2次元は硬さと最も高い相関を示した。2)157の日本語の拍が用いられた。99名の被験者がこれらの拍の明るさを、100名の被験者がこれらの拍の硬さを評定した。67の拍の評定平均値がカテゴリー回帰分析によって分析された。従属変数は明るさと硬さであった。独立変数は子音と母音だった。重相関係数は、明るさと硬さともにほぼ1であった。拍への影響は、明るさと硬さともに子音の方が大きかった。Phonesthemes are the basic unit in sound symbolism, which lies between phonemes and morphemes. In English or Swedish, there are many phonesthemes that consist of two or three consonants (Hinton, Nichols and Ohala, 1994; Abelin, 1999). Japanese does not have such phonesthemes, because it lacks such sound patterns. Hamano (1998) set each Japanese consonant and vowel as a phonestheme and analyzed Japanese onomatopoeia systematically. Her analysis is interesting, yet the selection of phonesthemes and the affective meaning depends on her intuition. In this preliminary study we tried to provide empirical evidence concerning these basic problems and relate these results to the sound symbolism of Japanese in general. 1) 60 onomatopoeia were used. All onomatopoeia were C1V1C2V2 type and related to emotion. 12 subjects rated these onomatopoeia with 24 adjective pairs. Distances among the 60 onomatopoeia in 24 dimensional adjective space were analyzed by MDS. 2 dimensions were adopted. The 1st dimension had the highest correlation with brightness, and the 2nd dimension had the highest correlation with hardness. 2) 157 Japanese morae were used. 99 subjects rated the brightness of these morae and 100 subjects rated the hardness of these morae. Average ratings were analyzed by categorical multiple regression analysis. Dependent variables were averaged brightness or hardness. Independent variables were consonants and vowels. The multiple correlation coefficients for both brightness and hardness were near 1. Consonants had bigger effects on morae than vowels.感情科学の展

Luminescence and optical properties of relaxor ferroelectrics

The optical absorption spectrum, luminescence and photoconductivity on single crystals PbMg1/3Nb2/3O3 and on ceramics Pb0.91La0.09(Zr0.65Ti0.35)O 3 are investigated in the wide temperature range. The luminescence spectrum correlates with the photoconductivity spectrum. The position of the maximum of the luminescent emission spectrum indicates the origin of the charge carriers emitted from the defect centers. On the basis of the data the properties of the local centers are determined, and the phenomenological approach to the relaxor theory is discussed

Elaia, Pergamon's maritime satellite:The rise and fall of an ancient harbour city shaped by shoreline migration

Throughout human history, communication and trade have been key to society. Because maritime trade facilitated the rapid transportation of passengers and freight at relatively low cost, harbours became hubs for traffic, trade and exchange. This general statement holds true for the Pergamenian kingdom, which ruled wide parts of today's western Turkey during Hellenistic times. Its harbour, located at the city of Elaia on the eastern Aegean shore, was used extensively for commercial and military purposes. This study reconstructs the coastal evolution in and around the ancient harbour of Elaia and compares the observed environmental modifications with archaeological and historical findings. We use micropalaeontological, sedimentological and geochemical proxies to reconstruct the palaeoenvironmental dynamics and evolution of the ancient harbour. The geoarchaeological results confirm the archaeological and historical evidence for Elaia's primacy during Hellenistic and early Roman times, and the city's gradual decline during the late Roman period. Furthermore, our study demonstrates that Elaia holds a unique position as a harbour city during ancient times in the eastern Aegean region, because it was not greatly influenced by the high sediment supply associated with river deltas. Consequently, no dredging of the harbour basins is documented, creating exceptional geo-bioarchives for palaeoenvironmental reconstructions