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    首页 产品目录 轮胎 Nexen N'Fera Primus V

    Nexen N'Fera Primus V

    Nexen
    • 出处: Корея
    • 轿车轮胎 Nexen
    • 特种轮胎 Nexen
    3513 条评论
    热卖新品
    • Nexen N'Fera Primus V 放大
      Nexen N'Fera Primus V
    • Nexen N'Fera Primus V 放大
      Nexen N'Fera Primus V
    • Nexen N'Fera Primus V 放大
      Nexen N'Fera Primus V
    • Nexen N'Fera Primus V
    • Nexen N'Fera Primus V
    • Nexen N'Fera Primus V
    от 3 550 ₽
    制造商
    Nexen (Корея)
    车辆类型
    乘用车
    轮胎使用季节
    夏季
    销售开始于
    2024
    排名
    3
    轮胎类别
    C
    轮胎类型
    高速
    油耗
    C...D
    操控性
    B...C
    轮胎噪音水平
    70...72

    描述 Nexen N'Fera Primus V

    夏季轮胎Nexen N'Fera Primus V以其行驶品质的平衡性为特点。在任意速度下,具有稳定的抓地性、改进的操控性、平稳和静谧的行驶、燃油节省和耐磨性。

    胎面花纹以大块元素为主,具有较大的刚性。结合抗变形的骨架和优化的胎面轮廓,这可以在高速行驶中提供出色的抓地性和提高的操控精度和稳定性。大量的排水槽和其中大部分与行驶方向相反的排水槽显著提高了抗水漂的能力,使轮胎即使在长距离行驶中也能避免水漂的发生。

    Nexen N'Fera Primus V的主要特点

    - 由于胎面轮廓的优化和加强骨架,高速行驶时的稳定性得到提高;
    - 与行驶方向相反的排水槽提高了抗水漂的能力;
    - 中间的刚性纵向肋和边缘的大块元素提高了操控精度和转弯时的抓地稳定性

    显示全部描述
    • 现有尺寸 31
    • 无货 1
    • 评论 9

    有货和预订 31

    直径车型尺寸轮胎使用季节库存价格
    R14Nexen N'Fera Primus V 185/60 R14 82H 热卖185/60 R14 82H 3 760 ₽
    Nexen N'Fera Primus V 185/65 R14 86H185/65 R14 86H 4 080 ₽
    Nexen N'Fera Primus V 195/60 R14 86H195/60 R14 86H 5 240 ₽
    R15Nexen N'Fera Primus V 185/55 R15 82V185/55 R15 82V 4 810 ₽
    Nexen N'Fera Primus V 185/60 R15 84H 热卖185/60 R15 84H 4 510 ₽
    Nexen N'Fera Primus V 185/65 R15 88H 热卖185/65 R15 88H -13%4 080 ₽
    Nexen N'Fera Primus V 195/50 R15 82V 热卖195/50 R15 82V -13%4 080 ₽
    Nexen N'Fera Primus V 195/55 R15 85V195/55 R15 85V 5 370 ₽
    Nexen N'Fera Primus V 195/60 R15 88V195/60 R15 88V 4 290 ₽
    Nexen N'Fera Primus V 195/65 R15 91V 热卖195/65 R15 91V -13%3 660 ₽
    Nexen N'Fera Primus V 205/60 R15 91V205/60 R15 91V 5 520 ₽
    Nexen N'Fera Primus V 205/65 R15 94V205/65 R15 94V 5 320 ₽
    R16Nexen N'Fera Primus V 195/50 R16 88V XL195/50 R16 88V XL6 340 ₽
    Nexen N'Fera Primus V 195/55 R16 87H195/55 R16 87H 6 030 ₽
    Nexen N'Fera Primus V 205/55 R16 91V XL 热卖205/55 R16 91V XL4 690 ₽
    Nexen N'Fera Primus V 205/60 R16 92V205/60 R16 92V 5 480 ₽
    Nexen N'Fera Primus V 215/55 R16 97W XL215/55 R16 97W XL6 960 ₽
    Nexen N'Fera Primus V 215/60 R16 95H215/60 R16 95H 7 340 ₽
    Nexen N'Fera Primus V 215/65 R16 98H 热卖215/65 R16 98H -13%5 950 ₽
    Nexen N'Fera Primus V 225/60 R16 98H XL225/60 R16 98H XL8 970 ₽
    R17Nexen N'Fera Primus V 205/40 R17 84W XL205/40 R17 84W XL7 360 ₽
    Nexen N'Fera Primus V 205/45 R17 88W XL205/45 R17 88W XL7 210 ₽
    Nexen N'Fera Primus V 205/50 R17 93W XL205/50 R17 93W XL6 690 ₽
    Nexen N'Fera Primus V 215/45 R17 91W XL215/45 R17 91W XL10 530 ₽
    Nexen N'Fera Primus V 215/50 R17 91V215/50 R17 91V -13%7 110 ₽
    Nexen N'Fera Primus V 215/55 R17 94V215/55 R17 94V 7 520 ₽
    Nexen N'Fera Primus V 225/45 R17 94W XL225/45 R17 94W XL7 000 ₽
    Nexen N'Fera Primus V 225/50 R17 98W XL225/50 R17 98W XL7 640 ₽
    R18Nexen N'Fera Primus V 225/40 R18 92W XL225/40 R18 92W XL6 610 ₽
    Nexen N'Fera Primus V 235/45 R18 98V XL235/45 R18 98V XL8 220 ₽
    Nexen N'Fera Primus V 235/50 R18 97V235/50 R18 97V 9 690 ₽

    无货

    直径车型尺寸轮胎使用季节
    R16Nexen N'Fera Primus V 195/55 R16 91V XL195/55 R16 91V XL
    缺货

    技术

    技术 寬敞的4溝槽設計
    寬敞的4溝槽設計
    改進的排水性和更好的濕地行駛性能
    技术 順暢行駛
    順暢行駛
    侧面槽的斜面设计实现了行驶的平顺性
    技术 防石钉板
    防石钉板
    不均匀道路上降低性能的预防
    技术 中央肋部加强刚性
    中央肋部加强刚性
    高速行驶的稳定性

    Nexen 与合作

    合作伙伴 Manchester City
    合作伙伴 2015 года
    合作伙伴 FC Bayern Munich
    合作伙伴 2024 года
    合作伙伴 San Diego Padres
    Действует до 31 十月 2027
    合作伙伴 Sydney FC
    合作伙伴 2024 года
    合作伙伴 Al Nasr SC
    合作伙伴 2024 года
    合作伙伴 SK Slavia Praha
    合作伙伴 2021 года

    评论 3513

    写评论
    推荐 98%
    Оценка: 4.91 из 5
    3322 条评论
    1
    1%
    2
    0%
    3
    1%
    4
    3%
    5
    95%
    • Илья 关于轮胎 Nexen N'Fera Primus V

      商品在莫萨夫托什娜购买
      评分
      5

      我很喜欢这款轮胎,在炎热的天气和雨天的路面上进行了充分的测试,尤其是在弯道和雨天的路面上。
      总的来说,轮胎的抓地力非常好,达到满分(5分)。
      在湿润的路面上,轮胎的抓地力非常好,排水性能也很好。
      从实际使用来看,没有什么值得抱怨的地方。
      如果有一个小缺点,就是噪音有些大,但可能价格也会相应调整。
      总体来说,我很满意。

      车辆:
      Volkswagen Polo Sedan
      尺寸:
      195/65 R15 91V
      是否会再次购买?:
      很可能
      城市:
      莫斯科
      干燥道路操控
      湿润道路操控
      行驶舒适度
      直线行驶稳定性
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      21 六月 2025
    • Эдуард 关于轮胎 Nexen N'Fera Primus V

      评分
      5

      平衡调整完成了,没有任何问题。轮胎很软,很安静。我推荐所有人购买。第一次使用的印象很好,以前用过布里吉斯通,没有感觉到有什么区别。

      车辆:
      Volkswagen Polo
      是否会再次购买?:
      肯定会
      干燥道路操控
      湿润道路操控
      行驶舒适度
      直线行驶稳定性
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      11 四月 2024
    • Андрей 关于轮胎 Nexen N'Fera Primus V

      评分
      5

      優秀的輪胎,安靜,抓地力優異,在彎道中行駛得很好,儘管側壁較軟,但在200的速度下,感覺還不錯,暫時沒有發現什麼缺點。推薦給大家。

      车辆:
      Volkswagen Jetta
      是否会再次购买?:
      很可能
      干燥道路操控
      湿润道路操控
      行驶舒适度
      直线行驶稳定性
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      19 三月 2024
    • Александр 关于轮胎 Nexen N'Fera Primus V

      商品在莫萨夫托什娜购买
      评分
      5

      很好的轮胎,在干燥的沥青路面上抓地力很好,强烈的雨天没有试过,可能不是最好的,但是接近顶级。尺寸很少见,比标准宽,R14 195x60,我用它替换了原装的185-65,稳定性有所提高

      车辆:
      Hyundai Accent
      尺寸:
      195/60 R14 86H
      是否会再次购买?:
      很可能
      城市:
      罗斯托夫-纳-顿
      干燥道路操控
      湿润道路操控
      行驶舒适度
      直线行驶稳定性
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      13 六月 2025
    • Татьяна 关于轮胎 Nexen N'Fera Primus V

      商品在莫萨夫托什娜购买
      评分
      5

      **Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a notetaking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the extracted information is used to generate an electronic document.

      2. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted information to the user.

      3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

      4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.

      5. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns and provide the extracted information to a notetaking application.

      6. A method for automatically capturing information from audio data, comprising: detecting starting conditions using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.

      7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns.

      8. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.

      9. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.

      10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.

      11. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

      12. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      2. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.
      11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      2. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.
      11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      2. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
      7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.
      11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
      12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
      14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
      15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context.
      2. A system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a pattern detection module.
      3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.
      4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
      5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns.
      6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
      7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.
      8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules.
      9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module.
      10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
      11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns.
      12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
      13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.
      14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
      15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.

      尺寸:
      215/65 R16 98H
      评分
      13 七月 2024
    • Магомед 关于轮胎 Nexen N'Fera Primus V

      评分
      5

      205×55R16的软质、无噪音、稳定性强,在急弯时表现还不错。
      无论是在干燥还是湿润的道路上,都没有感觉到特别大的差异,在抓地力方面表现良好。
      对这款轮胎非常满意,驾驶感受很好。

      车辆:
      Hyundai Solaris
      是否会再次购买?:
      很可能
      干燥道路操控
      湿润道路操控
      行驶舒适度
      直线行驶稳定性
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      22 五月 2025
    • Роман 关于轮胎 Nexen N'Fera Primus V

      商品在莫萨夫托什娜购买
      评分
      4.4

      您好!这款轮胎很好。在去白俄罗斯的途中购买了它,结果从沃洛格达到穆罗姆,然后到明斯克,接着到布列斯特,在白俄罗斯境内也行驶了不少公里,总共大约开了5000公里甚至更多。这款轮胎很柔软,不会发出噪音,无论是在干燥还是湿润的道路上,都能很好地保持行驶的稳定性。对这款轮胎很满意。

      车辆:
      Volkswagen Polo Sedan
      尺寸:
      185/60 R15 84H
      是否会再次购买?:
      很可能
      城市:
      沃洛格达
      干燥道路操控
      湿润道路操控
      行驶舒适度
      直线行驶稳定性
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      26 九月 2024
    • Дмитрий 关于轮胎 Nexen N'Fera Primus V

      评分
      1

      完全磨损前轮胎仅在5000公里的行驶里程和6个月的使用时间里就已经完全磨损了,使用地点在罗斯托夫-瑙-多努.
      Nexen N"Fera Primus V 215/55 R16 97W XL - DOT 1JJUDHEDC 4324 (制造地中国,2024年10月份)
      当我在网站上购买时,没有说明制造地点,所以我尝试通过电话询问,得到的回答是制造地点在韩国.
      当我到店里取货时,才发现制造地点是中国,本应该拒绝的,但是又要花时间重新选择、订购和等待,所以我决定试试看 - 愚蠢的决定.
      半年后,我写信给保修部,详细说明了情况(如下)并附上了照片,提到如果用刀刮去胎面上的物料,很容易就会被刮掉,并在后续的通信中提到了这一点.
      一个月后,我根据投诉把轮胎送到了同一家店铺,店铺接受了,但是我得到的回复却花了半年以上的时间.
      当然,不要妄想会有保修 - 没有。他们寄来了拒绝的结论和一堆国家标准,说明轮胎没有生产缺陷,
      而轮胎的过度磨损是由于违反使用规则,例如引语 - "激进的驾驶风格,不正确的轮胎气压,汽车超载..."
      还有要多久才能把轮胎送回店铺 - 大概还要半年时间.
      我的车是福特福克斯 - 前轮驱动,仅由我驾驶,主要的行驶路线是上下班.
      之前安装的轮胎是来自福特工厂的11年夏季固特异轮胎和9年冬季邓禄普轮胎,两者都没有过度磨损的问题.
      我没有运载重物,只有在前排座位上有一个乘客和在后备箱里有一个行李箱,我没有激进的驾驶风格,因为我已经58岁了,35年来一直定期检查轮胎气压.
      在恶劣的使用条件中,这里只有一个地方的温度会达到+40摄氏度,另外就是去上班的路上有两个环形路.
      大约一个月的使用时间后,我注意到轮胎的过度磨损,做了四轮定位和轮胎校正,结果显示一切正常.
      开始时,我以为如果换一下前后轮胎的位置,就可以使用两个季节,但是结果并不是这样.
      在仔细观察这些轮胎时,我发现侧壁和胎面内部是由橡胶制成的,
      但是胎面却是由某种粉末和胶水组成的,并且它的颜色不同,可以用刀子刮开和分离,
      而这种粉末很容易被刮掉,如果用刀子刮去,但是保修服务当然不会这样做.
      我选择了这款轮胎,因为我之前使用了9年的Nexen N8000在索兰托车型上,非常满意.
      而且在阅读了几篇关于Nexen N"Fera Primus V的评论后,但是那些评论都是更早之前写的,可能是由韩国制造的.
      我认为我不仅遇到了出厂缺陷,而且中国的工厂在生产Nexen轮胎时没有遵循生产技术.
      总之,我不推荐这家店铺和这款轮胎。

      车辆:
      Ford Focus
      是否会再次购买?:
      绝对不会
      干燥道路操控
      湿润道路操控
      行驶舒适度
      直线行驶稳定性
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      16 四月 2026
    • Руслан 关于轮胎 Nexen N'Fera Primus V

      商品在莫萨夫托什娜购买
      评分
      4.1

      使用5个月后,侧面出现了小毛病,轮胎变得不平整
      ,在车辙里行驶时抓地力差,车辆会被牵引

      车辆:
      Renault Kaptur
      尺寸:
      215/65 R16 98H
      是否会再次购买?:
      绝对不会
      城市:
      Павловский Посад
      干燥道路操控
      湿润道路操控
      行驶舒适度
      直线行驶稳定性
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      21 七月 2025
    查看所有 3513 条评论 关于 Nexen N'Fera Primus V
    轮胎特性
    干路
    湿路
    舒适度
    稳定性
    低噪音
    制动
    评分
    水漂
    速度
    耐磨性
    质量
    性价比
    4.91 / 5
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