• Safety and Health at Work
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• v.7 no.3
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• pp.244-250
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• 2016

Background: Domestic violence (DV) is associated with serious consequences for victims, children, and families, and even national economies. An emerging literature demonstrates that DV also has a negative impact on workers and workplaces. Less is known about the extent to which people are aware of coworkers' experiences of DV. Methods: Using data from a pan-Canadian sample of 8,429 men and women, we examine: (1) awareness of coworker DV victimization and perpetration; (2) the warning signs of DV victimization and perpetration recognized by workers; (3) whether DV victims are more likely than nonvictims to recognize DV and its warning signs in the workplace; and (4) the impacts of DV that workers perceive on victims'/perpetrators' ability to work. Results: Nearly 40% of participants believed they had recognized a DV victim and/or perpetrator in the workplace and many reported recognizing more than one warning sign. DV victims were significantly more likely to report recognizing victims and perpetrators in the workplace, and recognized more DV warning signs. Among participants who believed they knew a coworker who had experienced DV, 49.5% thought the DV had affected their coworker's ability to work. For those who knew a coworker perpetrating DV, 37.9% thought their coworker's ability to work was affected by the abusive behavior. Conclusion: Our findings have implications for a coordinated workplace response to DV. Further research is urgently needed to examine how best to address DV in the workplace and improve outcomes for victims, perpetrators, and their coworkers.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.1A
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• pp.65-75
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• 2009

In Wireless Sensor Network, the sensor node localization is important issue for information tracking, event detection, routing. Generally, in wireless sensor network localization, the absolute positions of certain anchor nodes are required based on the use of global positioning system, then all the other nodes are approximately localized using various algorithms based on a coordinate system of anchor DV-Hop is a localized, distributed, hop by hop positioning algorithm in wireless sensor network where only a limited fraction of nodes have self positioning capability. However, instead of uniformly distributed network, in anisotropic network with possible holes, DV-Hop's performance is very low. To address this issue, we propose Group based DV-Hop (GDV-Hop) algorithm. Best contribution of GDV-Hop is that it performs localization with reduced error compared with DV-Hop in anisotropic network.

• Journal of Nutrition and Health
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• v.41 no.8
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• pp.851-859
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• 2008

To promote the adoption of healthier eating patterns, this study was aimed to develop and evaluate alternative front of pack nutrition signposting concepts. Based on previous research, we developed two signposting concepts, Multiple Traffic Light (MTL) and Multiple Traffic Light with % Daily Value (MTL-%DV). The signposts featured three key nutrients, total sugar, saturated fat, and sodium. Actual food packaging with no front of pack signposting (NoSP) was included in the evaluation to act as a benchmark against which to compare the performance of the different signposting options. Using an interviewer administered method, we assessed the degree of understanding and time to interpret on a total of 534 subjects (194 elementary, 108 middle, and 103 high schoolers, 128 adults). In the individual product evaluations, MTL (87.0%) obtained the highest level of correct responses, followed by MTL-%DV (83.1%) and NoSP (52.2%). Except for signposting concepts, age, gender and living area were not associated with the degree of correct responses in multivariate analyses. When used to compare products with different colors of nutrient contents, correct responses were more than 90% for MTL-%DV (91.5%) and MTL (90.3%). The middle and high schoolers revealed the lower likelihood of correct response compared to the other two groups. In case of comparing products with same colors of nutrient contents, the proportion of correct responses was the highest in NoSP (90%), followed by MTL%DV (77.4%) and MTL (48.5%). In terms of time to interpret, MTL-%DV and MTL performed better than NoSP in the individual product evaluation and the comparison of two products with different colors of nutrient contents. NoSP performed the best in the comparison of two products with same colors of nutrient contents. A majority of the participants preferred MTL-%DV (78%) most and thought it the most useful in helping them make healthier food choices. Based on these findings, MTL-%DV was considered to most closely meet the objectives of the initiatives.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06a
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• pp.121-126
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• 1998

DV(Digital Video) 영상 압축 방식에서 MPEG-2로 변환할 때 처리단계를 줄이기 위하여 DCT 영역에서 변환하였다. DV 방식의 색차신호 포맷인 4:1:1에서 4:2:2로 변환하고, 2-4-8 DCT 모드를 변환할 때 행렬을 이용하여 변환함으로써 중간과정을 줄였으며, DCT 영역에서 MPEG-2의 율 제어를 구현하였다. DV에서 만든 DCT 계수를 이용하여, 단계적으로 움직임 추정을 함으로써 전역탐색 블록 매칭 방식보다 처리 속도를 개선하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2223-2242
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• 2019

Distance Vector-Hop (DV-Hop) algorithm is widely used in node localization. It often suffers the wormhole attack. The current researches focus on Double-Wormhole-Node-Link (DWNL) and have limited attention to Multi-Wormhole-Node-Link (MWNL). In this paper, we propose a security DV-Hop algorithm (AMLDV-Hop) to resist MWNL. Firstly, the algorithm establishes the Neighbor List (NL) in initialization phase. It uses the NL to find the suspect beacon nodes and then find the actually attacked beacon nodes by calculating the distances to other beacon nodes. The attacked beacon nodes generate and broadcast the conflict sets to distinguish the different wormhole areas. The unknown nodes take the marked beacon nodes as references and mark themselves with different numbers in the first-round marking. If the unknown nodes fail to mark themselves, they will take the marked unknown nodes as references to mark themselves in the second-round marking. The unknown nodes that still fail to be marked are semi-isolated. The results indicate that the localization error of proposed AMLDV-Hop algorithm has 112.3%, 10.2%, 41.7%, 6.9% reduction compared to the attacked DV-Hop algorithm, the Label-based DV-Hop (LBDV-Hop), the Secure Neighbor Discovery Based DV-Hop (NDDV-Hop), and the Against Wormhole DV-Hop (AWDV-Hop) algorithm.

• Research in Plant Disease
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• v.12 no.3
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• pp.213-220
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• 2006

In year 2003, a soybean(Glycine max) sample showing severe dwarfing symptom was collected from a farmers' field in Cheongsong in Korea. The results from the diagnosis of the sample by RT-PCR revealed that it was infected by Soybean dwarf virus(SbDV), SbDV-L81. This study could be the first report of the occurrence of the virus in Korea. To further characterize the virus, the partial nucleotide sequence of the genomic RNA of SbDV-L81 was determined by RT-PCR using species-specific primers. The sequences were analyzed and subsequently compared to previously characterized strains of SbDV based on the pattern of symptom expression and vector specificities. The intergenic region between ORF 2 and 3 and the coding regions of ORF 2, 3 and 4 were relatively similar to those of dwarfing strains(SbDV-DS and DP) rather than those of yellowing strains(SbDV-YS and YP). Likewise, the result from the analysis of 5'-half of the coding region of ORF5 indicated that SbDV-L81 was closely related to strains(SbDV-YP and DP) transmitted by Acyrthosiphon pisum. These data from the natural symptom and the comparisons of five regions of nucleotide sequences of SbDV suggested that SbDV-L81 might be closely related SbDV-DP.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.6
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• pp.673-679
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• 2014

The important requirements of designing a pattern classifier are high throughput and low memory requirements, and low cost hardware implementation. A pattern classifier by using Multiple Attractor Cellular Automata(MACA) proposed by Maji et al. reduced the complexity of the classification algorithm from $O(n^3)$ to O(n) by using Dependency Vector(DV) and Dependency String(DS). In this paper, we generate a pattern classifier using LFSR to improve efficiently the space and time complexity and we propose a method for finding DV by using the 0-basic path. Also we investigate DV and the attractor of the generated pattern classifier. We can divide an n-bit DS by m number of $DV_i$ s and generate various pattern classifiers.

• Korean Journal of Veterinary Research
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• v.42 no.4
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• pp.437-442
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• 2002

The observations of the anatomical closure of the ductus venosus (DV) and vestige of DV were studied in 22 cattle, ranging from 210-day-old fetus to 3-years old Korean native cattle. Vinylite solution was injected into the hepatic, portal, umbilical veins and caudal vena cavae of 22 specimens for vinylite corrosion casts. The DV originated at the confluence of the umbilical and portal veins and emptied into the left hepatic vein or posterior vena cava. The DVs were persisted in a 210-day-old fetus, a 240-day-old fetus, and a 270-day-old fetus. Two newborns, two 2-year-old and two 3-year-old cattle had no rudimentum of DV (6 cases, 31.58%). However, vestiges of DV in varying sizes were observed in a 14-day-old, a 3O-day-old, two 180-day-old and nine adult cattle (13 cases, 68.42%). The lengths of vestiges of DV were about 4.97~99.66 mm. Therefore, the present study demonstrates that DV in cattle can be degenerated during the late period of a pregnancy.

• The KIPS Transactions:PartC
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• v.10C no.7
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• pp.937-942
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• 2003

In this paper, we measured and examined RTT delays and packet losses according to the changes of stationary loads for two typical stream-type traffics, a DV and a MPGE2 on the R＆D Gigabit Network testbed, JGN. As the result of our actual measurements, we realized that the packet size of stationary load have no effects on a DV and a MPGE2 stream on the very high-speed network(50Mbps, IP over ATM). When its bandwidth and stationary load exceeds 95％ of network bandwidth, packet losses appeared and RTT delay increased rapidly. Also we realized that the number and size of Receive ＆ Transmit buffer on the end systems have no effects on packet losses and RTT delays.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.4
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• pp.612-625
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• 2018

This study designed 16 kinds of basic structure and 4 kinds of modified structure for impact protection pads with a spacer fabric shape. The pad is a structure in which hexagonal three-dimensional units, composed of a surface layer and a spacer layer, are interconnected. Designed pads were printed with flexible $NinjaFlex^{(R)}$ materials using a FDM 3D printer. The printed pads were evaluated for impact protection performance, compression properties and sensory properties. The evaluation of the impact protection performance indicated that basic structures better than CR foam material at 20cm height were DV1.5, DX1.5, DX1.0, DV1.0 and HV1.5. The evaluation of the compression properties for the five types, with good results in the impact protection performance, indicated that DV1.0, DX1.0, DV1.5, HV1.5 and DX1.5 showed good results, respectively. The sensory evaluation of DV1.0, DX1.0, and DV1.5, which with good results when considering both the impact protection performance and the compression performance, showed that DV1.0 were the best for surface, flexibility, compression and weight. Therefore, DV1.0 is shown to be the best structure for protection pads.